@prefix orkgc: <http://orkg.org/orkg/class/> .
@prefix orkgp: <http://orkg.org/orkg/predicate/> .
@prefix orkgsh: <http://orkg.org/orkg/shapes/> .
Classes
- Abbreviation (orkgc:Abbreviation)
- Acknowledgements (orkgc:Acknowledgements)
- AlternativeName (orkgc:AlternativeName)
- Author (orkgc:Author)
- Benchmark Dataset (orkgc:BENCHMARK_DATASET)
- Background (orkgc:Background)
- Benchmark (orkgc:Benchmark)
- Boolean (orkgc:Boolean)
- qb:Observation (orkgc:C0)
- qb:DimensionProperty (orkgc:C1)
- obo:STATO_0000304 (orkgc:C1000)
- 96 well plate (orkgc:C10000)
- endpoint assay (orkgc:C10001)
- homogeneous phase (orkgc:C10002)
- Small-Language-Model (orkgc:C100022)
- confirmatory assay (orkgc:C10003)
- biochemical format (orkgc:C10004)
- bao:BAO_0000035 (orkgc:C10005)
- bao:BAO_0000046 (orkgc:C10006)
- flow cytometry (orkgc:C10007)
- bao:BAO_0150055 (orkgc:C10008)
- percent response (orkgc:C10009)
- small molecule (orkgc:C10010)
- bao:BAO_0002183 (orkgc:C10011)
- bao:BAO_0000452 (orkgc:C10012)
- bao:BAO_0150016 (orkgc:C10013)
- percent inhibition (orkgc:C10014)
- inhibition (orkgc:C10015)
- CLO:0000031 (orkgc:C10016)
- bao:BAO_0000232 (orkgc:C10017)
- NCBITaxon:227859 (orkgc:C10018)
- target (orkgc:C10019)
- CHEBI:36044 (orkgc:C10020)
- cytotoxicity assay (orkgc:C10021)
- bao:BAO_0002455 (orkgc:C10022)
- bao:BAO_0002457 (orkgc:C10023)
- bao:BAO_0001103 (orkgc:C10024)
- percent cell viability (orkgc:C10025)
- bao:BAO_0003009 (orkgc:C10026)
- 384 well plate (orkgc:C10027)
- R51362 (orkgc:C10028)
- bao:BAO_0140017 (orkgc:C10029)
- obo:OBI_0000175 (orkgc:C1003)
- CellTiter-Glo Luminescent Cell Viability Assay (orkgc:C10030)
- bao:BAO_0140012 (orkgc:C10031)
- bao:BAO_0150076 (orkgc:C10032)
- bao:BAO_0002162 (orkgc:C10033)
- bao:BAO_0000190 (orkgc:C10034)
- nanomolar (orkgc:C10035)
- bao:BAO_0002450 (orkgc:C10036)
- bao:BAO_0002080 (orkgc:C10037)
- bao:BAO_0002084 (orkgc:C10038)
- bao:BAO_0000188 (orkgc:C10039)
- obo:OBI_0001931 (orkgc:C1004)
- bao:BAO_0080017 (orkgc:C10040)
- R51438 (orkgc:C10041)
- CHEBI:23888 (orkgc:C10042)
- obo:OBI_0000751 (orkgc:C1006)
- obo:OBI_0000739 (orkgc:C1007)
- hypothesis evaluation status (orkgc:C101008)
- hypothesis test conclusivity status (orkgc:C101009)
- Ontology transformation tools [C] (orkgc:C102001)
- Microplastics in food products [C] (orkgc:C102002)
- Microplastics in Different Food Products [C] (orkgc:C102003)
- Template energy procurement [C] (orkgc:C102010)
- small-language-model-survey-template [C] (orkgc:C103000)
- Digitaler Sportstättenatlas_RLP_DataCite_Mandatory [C] (orkgc:C103019)
- Digitaler Sportstättenatlas_RLP_DC_Mandatory+ [C] (orkgc:C103020)
- Fine-Tuning Methods in Single-LLM Evaluation in LLMs-as-judges-template [C] (orkgc:C104001)
- mlguide method (orkgc:C105001)
- Digitaler Sportstättenatlas_RLP_Handle_Mandatory [C] (orkgc:C105002)
- Data model (orkgc:C105003)
- In-vitro implant model research (orkgc:C107016)
- goal (orkgc:C107019)
- Implant model (orkgc:C107020)
- cell culture (orkgc:C107021)
- cell type (orkgc:C107022)
- culture medium ingredient (orkgc:C107023)
- bacterial species (orkgc:C107024)
- co-culture (orkgc:C107025)
- bacterial organization (orkgc:C107026)
- co-culture medium (orkgc:C107027)
- process (orkgc:C107028)
- analysis (orkgc:C107031)
- analysis method (orkgc:C107032)
- staining (orkgc:C107033)
- bacterial culture (orkgc:C107034)
- implant model type (orkgc:C108000)
- ALD Experimental Schema [C] (orkgc:C109005)
- Meter measurement (orkgc:C11000)
- Meter based unit (orkgc:C11001)
- Transient absorption spectroscopy (orkgc:C11002)
- Person (orkgc:C11003)
- Solution sample (orkgc:C11004)
- Solid sample (orkgc:C11005)
- Transient absorption (orkgc:C11006)
- Substance (orkgc:C11007)
- Liter measurement (orkgc:C11008)
- Liter based unit (orkgc:C11011)
- Gram based unit (orkgc:C11012)
- Substance role (orkgc:C11013)
- Meter measurement range (orkgc:C11014)
- Transient absorption type (orkgc:C11016)
- Duration of absorption (orkgc:C11017)
- TiO2 Process (orkgc:C11018)
- MetaVisualizationNode (orkgc:C11019)
- Classification of AI systems for Scholarly Communication [C] (orkgc:C112000)
- academic discipline (orkgc:C112002)
- AI technology (orkgc:C112003)
- task (orkgc:C112004)
- URL (orkgc:C112005)
- Ethical implication (orkgc:C112006)
- Advantage of using AI (orkgc:C112007)
- Disadvantage of using AI (orkgc:C112008)
- Quantity [C] (orkgc:C112009)
- QuantityValue (orkgc:C112010)
- Units (orkgc:C112011)
- QuantityKind (orkgc:C112012)
- Firm-level data [C] (orkgc:C114000)
- Diagnostic Tool (orkgc:C114002)
- Data Quality of Energy Infrastructure [C] (orkgc:C114003)
- Island power system reviews [C] (orkgc:C114009)
- Data Harvesting (orkgc:C114010)
- island (orkgc:C114011)
- Public Display [C] (orkgc:C114014)
- OH Trends and IAV [C] (orkgc:C115000)
- book (orkgc:C115002)
- computational model (orkgc:C115003)
- patient reported outcome measures (orkgc:C115005)
- Online Crowdsourcing Platform (orkgc:C115008)
- Electronic Data Capture System (orkgc:C115009)
- Instrument Modification (orkgc:C115010)
- evaluation study (orkgc:C115011)
- Participant Recruitment Strategy (orkgc:C115012)
- Research Infrastructure Deployment (orkgc:C115013)
- Measurement Scope Type (orkgc:C115014)
- Psychology Constructs and Measurements [C] (orkgc:C115015)
- human disease (orkgc:C115017)
- research network (orkgc:C115018)
- database (orkgc:C115019)
- Duplicate Predicate Detection in Knowledge Graphs [C] (orkgc:C116019)
- Mathematical models [C] (orkgc:C116020)
- Equation type (orkgc:C116022)
- Biological- based cancer studies [C] (orkgc:C116023)
- ALD Experimental Schema V3 [C] (orkgc:C117017)
- ALDSystemV3 (orkgc:C117018)
- ALDMethod (orkgc:C117019)
- ReactantSelectionV3 (orkgc:C117020)
- Precursor (orkgc:C117021)
- CoReactant (orkgc:C117022)
- ProcessParametersV3 (orkgc:C117023)
- MaterialPropertiesV3 (orkgc:C117032)
- OpticalPropertiesV3 (orkgc:C117033)
- ElectricalPropertiesV3 (orkgc:C117034)
- CrystallinityV3 (orkgc:C117038)
- Order of equation (orkgc:C117043)
- frequency (orkgc:C117044)
- treatment group (orkgc:C117045)
- group in an experiment (orkgc:C117046)
- risk factor (orkgc:C118000)
- Cancer stages (orkgc:C118001)
- HCD-LLM Research [C] (orkgc:C118008)
- research problem (orkgc:C118009)
- HCD usage (orkgc:C118010)
- hcd step (orkgc:C118011)
- hcd automation level (orkgc:C118012)
- Analytical solvability (orkgc:C118013)
- potential benefit (orkgc:C118014)
- benefit magnitude (orkgc:C118015)
- benefit category (orkgc:C118016)
- Influence on Diversity (orkgc:C118018)
- Influence on Quality (orkgc:C118019)
- diversity magnitude (orkgc:C118020)
- diversity type (orkgc:C118021)
- diversity dimension (orkgc:C118022)
- quality magnitude (orkgc:C118023)
- quality types (orkgc:C118024)
- adressed RQ (orkgc:C118025)
- report risks (orkgc:C118026)
- risk probability (orkgc:C118027)
- risk damage (orkgc:C118028)
- report artefacts (orkgc:C118029)
- artefact type (orkgc:C118030)
- artefact hcd step (orkgc:C118031)
- AI tool (orkgc:C118032)
- tool type (orkgc:C118033)
- Tool name (orkgc:C118034)
- tool version (orkgc:C118035)
- Investigation method (orkgc:C118036)
- method types (orkgc:C118037)
- participant role (orkgc:C118038)
- report test (orkgc:C118039)
- test name (orkgc:C118040)
- treatment strategies (orkgc:C119001)
- Subtypes (orkgc:C119002)
- R54009 (orkgc:C12000)
- Solar irradiance (orkgc:C120000)
- Sticking coefficients of TMA and H₂O in ALD Al₂O₃ on LHAR structures [C] (orkgc:C120001)
- ALD Coating Studies on Phosphor Materials [C] (orkgc:C120003)
- ALD Coating Studies on Pharmaceutical Particulate Materials [C] (orkgc:C120004)
- Rare-Earth Dopants in ALD-Deposited Thin Films [C] (orkgc:C120005)
- Performance of Er³⁺-based MOSLED devices fabricated by ALD [C] (orkgc:C120006)
- Rare-earth ALD/MLD Processes for R–Organic Thin Films [C] (orkgc:C120007)
- ALD Processes Based on Rare Earth Elements [C] (orkgc:C120008)
- Prevention strategies (orkgc:C120009)
- R54875 (orkgc:C12001)
- Plants (Experimental Object) [C] (orkgc:C120014)
- Drought Stress Experimental Design [C] (orkgc:C120015)
- Stress Duration (orkgc:C120016)
- Plant Density [C] (orkgc:C120017)
- Sample Size (Plants) [C] (orkgc:C120018)
- Plant Water (Drought) Stress Response [C] (orkgc:C120019)
- Drought Stress Indicators of One Plant (orkgc:C120020)
- Drought Stress Experiment and Result [C] (orkgc:C120021)
- Plant Drought Stress Detection Instrument [C] (orkgc:C120022)
- Planting Environment (orkgc:C120023)
- Drought Stress Experimental - Soil Condition [C] (orkgc:C120024)
- Drought Stress Experimental - Air Condition [C] (orkgc:C120025)
- Drought Stress Experimental - Light Condition [C] (orkgc:C120026)
- Drought Stress Experimental - Location [C] (orkgc:C120027)
- science communication criteria (orkgc:C121000)
- NLP4RE ID Card (orkgc:C121001)
- RE task (orkgc:C121003)
- NLP task (orkgc:C121004)
- NLP task type (orkgc:C121005)
- NLP task input (orkgc:C121006)
- NLP task output (orkgc:C121007)
- NLP task output type (orkgc:C121008)
- NLP task translation mapping cardinality (orkgc:C121009)
- NLP dataset (orkgc:C121010)
- NLP data source (orkgc:C121011)
- NLP data source type (orkgc:C121012)
- NLP data abstraction level (orkgc:C121013)
- NLP data type (orkgc:C121015)
- NLP data format (orkgc:C121016)
- Rigor of data format (orkgc:C121017)
- License (orkgc:C121018)
- Public availability (orkgc:C121019)
- License type (orkgc:C121020)
- NLP dataset location (orkgc:C121022)
- Location type (orkgc:C121023)
- Location type (orkgc:C121024)
- Annotation process (orkgc:C121025)
- Annotator (orkgc:C121026)
- Annotator assignment (orkgc:C121027)
- Level of application domain experience (orkgc:C121028)
- Annotator Identity (orkgc:C121029)
- Annotation Scheme (orkgc:C121030)
- Scheme establishement (orkgc:C121031)
- Guideline availability (orkgc:C121032)
- Shared material (orkgc:C121033)
- Fatigue mitigation technique (orkgc:C121034)
- Annotator agreement (orkgc:C121035)
- Intercoder reliability metric (orkgc:C121036)
- Conflict resolution (orkgc:C121037)
- Implemented approach (orkgc:C121038)
- Approach type (orkgc:C121039)
- Algorithm (orkgc:C121040)
- Running requirement (orkgc:C121041)
- Documentation type (orkgc:C121042)
- Dependency (orkgc:C121043)
- Release (orkgc:C121044)
- Release format (orkgc:C121046)
- Evaluation (orkgc:C121047)
- Metric (orkgc:C121048)
- Validation procedure (orkgc:C121049)
- Baseline comparison (orkgc:C121050)
- Baseline comparison type (orkgc:C121051)
- Large Language Models Merging [C] (orkgc:C121052)
- Data source domain (orkgc:C121053)
- transmission type (orkgc:C121057)
- dependent variable (orkgc:C121058)
- COVID-19 vaccine (orkgc:C121059)
- study area (orkgc:C121060)
- Drought Stress Units Ranges [C] (orkgc:C121063)
- Drought Stress Planting System [C] (orkgc:C121064)
- Drought Stress Condition Design [C] (orkgc:C121066)
- map (orkgc:C122000)
- Drought Stress Indicator of Plant (orkgc:C123000)
- Time (duration) [C] (orkgc:C123005)
- evolutionary sequela [C] (orkgc:C123006)
- disease (orkgc:C123007)
- gene (orkgc:C123008)
- human population (orkgc:C123010)
- Drought Stress Experimental - Climate Condition [C] (orkgc:C123029)
- Drought Stress Result [C] (orkgc:C123031)
- Disease (MONDO) (orkgc:C123032)
- software framework (orkgc:C123033)
- class of disease (orkgc:C123035)
- USDA (orkgc:C123036)
- Linear Regression (Parameters) [C] (orkgc:C123083)
- NFDIxCS Versioning Schema [C] (orkgc:C123089)
- NFDIxCS Joint-structure [C] (orkgc:C123118)
- Versioning Relation Type (orkgc:C123119)
- treatment (orkgc:C123126)
- chemical compound (orkgc:C123128)
- antimicrobial agent (orkgc:C123129)
- Pesticides [C] (orkgc:C123131)
- cohort (orkgc:C123133)
- data set (orkgc:C123141)
- benchmark dataset (orkgc:C123142)
- research question (orkgc:C123153)
- Hydropower resource assessment [C] (orkgc:C124013)
- BENCHMARK_DATASET (orkgc:C124016)
- Duplicate Detection, Resolution, Prevention [C] (orkgc:C124038)
- Duplicate Detection [C] (orkgc:C124039)
- Duplicate Resolution [C] (orkgc:C124040)
- Duplicate Prevention [C] (orkgc:C125000)
- Interactions Between Malaria, Nutrition, and Bone Loss [C] (orkgc:C126005)
- Plasmodium species (orkgc:C126008)
- study type (orkgc:C126009)
- geographical area (orkgc:C126010)
- Infection pattern (orkgc:C126011)
- severity (orkgc:C126012)
- Parasitemia level (orkgc:C126013)
- Treatment status (orkgc:C126014)
- Host type (orkgc:C126015)
- Study population (orkgc:C126017)
- Physiological status (orkgc:C126018)
- nutritional status (orkgc:C126019)
- Organization (orkgc:C126020)
- Person (orkgc:C126021)
- Anthropometric indicators (orkgc:C126026)
- Anemia indicators (orkgc:C126029)
- Bone compartment affected (orkgc:C126030)
- Bone marrow pathology caused (orkgc:C126031)
- Bone remodeling markers (orkgc:C126032)
- Bone health outcomes (orkgc:C126033)
- Skeletal development impact (orkgc:C126034)
- Inflammatory mediators reported (orkgc:C126035)
- Immune signaling pathways (orkgc:C126036)
- Anemia mechanism (orkgc:C126037)
- Key Findings (orkgc:C126039)
- Nutrition–malaria–bone link identified (orkgc:C126041)
- ScholarlyArticle (orkgc:C126042)
- Periodical (orkgc:C126043)
- plain text (orkgc:C126046)
- plaintext (orkgc:C126047)
- sentence (orkgc:C126050)
- Food and nutritional interventions in disease management [C] (orkgc:C127001)
- Disease type (orkgc:C127002)
- Geograpgical area (orkgc:C127003)
- population group (orkgc:C127004)
- Food/Diet intervention (orkgc:C127005)
- Nutrient focus (orkgc:C127006)
- Duration of intervention (orkgc:C127007)
- methodology (orkgc:C127008)
- transformer (orkgc:C128043)
- DiagnosticDevice (orkgc:C128060)
- Literature Review (orkgc:C128065)
- literature search (orkgc:C128066)
- Resource Requirement (orkgc:C128067)
- Search representativeness (orkgc:C128068)
- Type of evidence (orkgc:C128069)
- Synthesis method (orkgc:C128070)
- Reporting Guideline (orkgc:C128071)
- Quality Assessment (orkgc:C128072)
- update (orkgc:C128073)
- software library (orkgc:C128096)
- Dendrobias (orkgc:C13002)
- Palophagoides (orkgc:C13003)
- Prionus (orkgc:C13004)
- Pteridophyta (orkgc:C13005)
- Coniferophyta (orkgc:C13006)
- Cycadophyta (orkgc:C13007)
- Nymphaeaceae (orkgc:C13008)
- Research Methods (orkgc:C14003)
- Information source (orkgc:C14004)
- Oxygenase (orkgc:C14005)
- pipecolate (orkgc:C14006)
- cadaverine (orkgc:C14007)
- Coronatine (orkgc:C14008)
- tabtoxinine beta-lactam (orkgc:C14009)
- glutamine synthetase (orkgc:C14010)
- polysaccharide (orkgc:C14011)
- phaseolotoxin (orkgc:C14012)
- indole-3-acetate (orkgc:C14013)
- cytokinin (orkgc:C14014)
- syringomycin (orkgc:C14015)
- plasma membrane (orkgc:C14016)
- Syringopeptin (orkgc:C14017)
- R38147 (orkgc:C14021)
- Benchmark (orkgc:C14022)
- Evaluation (orkgc:C14023)
- Metric (orkgc:C14024)
- Dataset (orkgc:C14025)
- single perturbagen (orkgc:C14026)
- measured entity (orkgc:C14027)
- single readout (orkgc:C14028)
- native form (orkgc:C14029)
- Homo sapiens (orkgc:C14030)
- Perkin Elmer (orkgc:C14031)
- recombinant expression (orkgc:C14032)
- negative control (orkgc:C14033)
- multiple concentration (orkgc:C14034)
- biologics and screening manufacturer (orkgc:C14035)
- functional (orkgc:C14036)
- culture medium (orkgc:C14037)
- assay Kit (orkgc:C14038)
- positive control (orkgc:C14039)
- multiple repetition (orkgc:C14040)
- culture serum (orkgc:C14041)
- single repetition (orkgc:C14042)
- 1536 well plate (orkgc:C14043)
- protein format (orkgc:C14044)
- secondary assay (orkgc:C14045)
- stable transfection (orkgc:C14046)
- DMSO (orkgc:C14047)
- single protein format (orkgc:C14048)
- substrate (orkgc:C14049)
- primary assay (orkgc:C14050)
- Luciferin 4-monooxygenase (orkgc:C14051)
- MLSMR library (orkgc:C14052)
- luminescence method (orkgc:C14053)
- G protein coupled receptor (orkgc:C14054)
- EnVision Multilabel Reader (orkgc:C14055)
- potentiator (orkgc:C14056)
- buffer (orkgc:C14057)
- fluorescence intensity (orkgc:C14058)
- enzyme activity measurement method (orkgc:C14059)
- reporter gene method (orkgc:C14060)
- reporter gene (orkgc:C14061)
- activation (orkgc:C14062)
- inhibitor (orkgc:C14063)
- detergent (orkgc:C14064)
- binding assessment method (orkgc:C14065)
- alternate target assay (orkgc:C14066)
- direct enzyme activity measurement method (orkgc:C14067)
- competitive binding (orkgc:C14068)
- purified (orkgc:C14069)
- assay serum (orkgc:C14070)
- ViewLux CCD Imager (orkgc:C14071)
- Invitrogen (orkgc:C14072)
- Promega (orkgc:C14073)
- Beta-lactamase (orkgc:C14074)
- binding (orkgc:C14075)
- Adenosine triphosphate (orkgc:C14076)
- low signal control (orkgc:C14077)
- efficacy (orkgc:C14078)
- high signal control (orkgc:C14079)
- CHO cell (orkgc:C14080)
- luciferase reporter gene assay (orkgc:C14081)
- luciferase induction (orkgc:C14082)
- artificial regulatory region (orkgc:C14083)
- reducing agent (orkgc:C14084)
- DTT (orkgc:C14085)
- Tris (orkgc:C14086)
- ViewLux ultraHTS Microplate Imager (orkgc:C14087)
- background control (orkgc:C14088)
- molecular redistribution determination method (orkgc:C14089)
- Molecular Devices (orkgc:C14090)
- fluorescence resonance energy transfer (orkgc:C14091)
- Probenecid (orkgc:C14092)
- Tween 20 (orkgc:C14093)
- coupled substrate (orkgc:C14094)
- HEPES (orkgc:C14095)
- Rattus norvegicus (orkgc:C14096)
- inducer (orkgc:C14097)
- luciferin (orkgc:C14098)
- beta lactamase induction (orkgc:C14099)
- protein-protein interaction assay (orkgc:C14100)
- Calcium (orkgc:C14101)
- calcium redistribution assay (orkgc:C14102)
- generic hydrolase (orkgc:C14103)
- hydrolase activity assay (orkgc:C14104)
- percent activation (orkgc:C14105)
- steadylite HTS Reagent (orkgc:C14106)
- truncated (orkgc:C14107)
- ATP quantitation (orkgc:C14108)
- substrate coupled enzyme activity measurement method (orkgc:C14109)
- oxidoreductase (orkgc:C14110)
- time resolved fluorescence resonance energy transfer (orkgc:C14111)
- cytotoxicity (orkgc:C14112)
- LiveBLAzer FRET - B/G Loading Kit (orkgc:C14113)
- cell death (orkgc:C14114)
- protein-small molecule interaction assay (orkgc:C14115)
- kinase (orkgc:C14116)
- kinetic assay (orkgc:C14117)
- U-2 OS cell (orkgc:C14118)
- kinase activity assay (orkgc:C14119)
- CHO-K1 cell (orkgc:C14120)
- Hamamatsu (orkgc:C14121)
- dye binding method (orkgc:C14122)
- protein complex format (orkgc:C14123)
- membrane potential measurement method (orkgc:C14124)
- FDSS6000 (orkgc:C14125)
- Acetylcholine (orkgc:C14126)
- FLIPR TETRA (orkgc:C14127)
- transient transfection (orkgc:C14128)
- Ro 20-1724 (orkgc:C14129)
- ADMET (orkgc:C14130)
- alternate assay conditions (orkgc:C14131)
- Fluo-4 AM Calcium Indicator (orkgc:C14132)
- ATP coupled enzyme activity measurement method (orkgc:C14133)
- fluorescence polarization (orkgc:C14134)
- immunoassay (orkgc:C14135)
- IntelliCyt Corporation (orkgc:C14136)
- transfection agent (orkgc:C14137)
- 7-amino-4-methylcoumarin (orkgc:C14138)
- NP-40 (orkgc:C14139)
- fused (orkgc:C14140)
- Analyst HT (orkgc:C14141)
- orthogonal assay technology (orkgc:C14142)
- HyperCyt High Throughput Flow Cytometry System (orkgc:C14143)
- plasma membrane potential assay (orkgc:C14144)
- Cisbio (orkgc:C14145)
- nuclear receptor (orkgc:C14146)
- BD Biosciences (orkgc:C14147)
- HeLa cell (orkgc:C14148)
- Escherichia coli (orkgc:C14149)
- purification from natural source (orkgc:C14150)
- Triton X-100 (orkgc:C14151)
- Thallium (orkgc:C14152)
- phosphatase (orkgc:C14153)
- protein redistribution assay (orkgc:C14154)
- Fluo-8 No Wash Calcium Assay Kit (orkgc:C14155)
- Isoproterenol (orkgc:C14156)
- Steady-Glo Luciferase Assay System (orkgc:C14157)
- NADPH (orkgc:C14158)
- Arrestin-GFP (orkgc:C14159)
- multiplexed readout (orkgc:C14160)
- chemiluminescence (orkgc:C14161)
- GeneBLAzer (orkgc:C14162)
- ABD Bioquest (orkgc:C14163)
- ACTOne Membrane Potential Dye (orkgc:C14164)
- luciferin coupled enzyme activity measurement method (orkgc:C14165)
- compound toxicity assay (orkgc:C14166)
- Opera QEHS (orkgc:C14167)
- generic membrane protein (orkgc:C14168)
- oxidoreductase activity assay (orkgc:C14169)
- ion channel (orkgc:C14170)
- Kinase-Glo Luminescent Kinase Assay (orkgc:C14171)
- orthogonal assay design (orkgc:C14172)
- absorbance (orkgc:C14173)
- phosphatase activity assay (orkgc:C14174)
- Beta-galactosidase (orkgc:C14175)
- millimolar (orkgc:C14176)
- beta galactosidase reporter gene assay (orkgc:C14177)
- CHAPS (orkgc:C14178)
- hydrolase (orkgc:C14179)
- mutated (orkgc:C14180)
- Phosphate buffered saline (orkgc:C14181)
- transferase (orkgc:C14182)
- Carbachol (orkgc:C14183)
- DiscoveRx (orkgc:C14184)
- alternate cell line assay (orkgc:C14185)
- Glutamate (orkgc:C14186)
- cytosolic protein (orkgc:C14187)
- luciferase enzyme activity assay (orkgc:C14188)
- Mus musculus (orkgc:C14189)
- Photinus pyralis (orkgc:C14190)
- cytochrome P450 enzyme activity assay (orkgc:C14191)
- variant construct assay (orkgc:C14192)
- homogeneous time resolved fluorescence (orkgc:C14193)
- dye redistribution assay (orkgc:C14194)
- Z-Arg-Arg-AMC (orkgc:C14195)
- U937 (CD59+) (orkgc:C14196)
- IP-One HTRF Assay (orkgc:C14197)
- Neuropeptide Y (orkgc:C14198)
- Cyclic adenosine monophosphate (orkgc:C14199)
- lead optimization assay (orkgc:C14200)
- BMG Labtech (orkgc:C14201)
- alternate assay format (orkgc:C14202)
- Ubiquitin vinyl sulfone (orkgc:C14203)
- PHERAstar Plus (orkgc:C14204)
- Adenosine diphosphate (orkgc:C14205)
- regulation of translation (orkgc:C14206)
- [3H]N-methylscopolamine (orkgc:C14207)
- PathHunter Beta-Arrestin Assay (orkgc:C14208)
- Inositol-1-phosphate (orkgc:C14209)
- WKYMVm peptide (orkgc:C14210)
- cAMP redistribution assay (orkgc:C14211)
- Fluorescein (orkgc:C14212)
- Lipofectamine 2000 (orkgc:C14213)
- radioligand binding assay (orkgc:C14214)
- Ketoconazole (orkgc:C14215)
- cell-free format (orkgc:C14216)
- Forskolin (orkgc:C14217)
- Orexin A (orkgc:C14218)
- Dako (orkgc:C14219)
- regulation of molecular function (orkgc:C14220)
- cofactor (orkgc:C14221)
- G protein (orkgc:C14222)
- BODIPY GTP (orkgc:C14223)
- CyAn Flow Cytometer (orkgc:C14224)
- LOPAC 1280 (orkgc:C14225)
- chaperone (orkgc:C14226)
- 293T/17 cell (orkgc:C14227)
- protein fragment complementation method (orkgc:C14228)
- tissue-based format (orkgc:C14229)
- TransIT-CHO kit (orkgc:C14230)
- Vero cell (orkgc:C14231)
- radioligand binding method (orkgc:C14232)
- blood plasma (orkgc:C14233)
- Staurosporine (orkgc:C14234)
- Sodium orthovanadate (orkgc:C14235)
- Streptococcus pneumoniae D39 (orkgc:C14236)
- filter assay (orkgc:C14237)
- Interleukin-6 (orkgc:C14238)
- Potassium phosphoenolpyruvate (orkgc:C14239)
- apoptotic process (orkgc:C14240)
- SpectraMax M5 Multi-Mode Microplate Reader (orkgc:C14241)
- RBL-2H3 (orkgc:C14242)
- FlexStation II Microplate Reader (orkgc:C14243)
- protein conformation assessment (orkgc:C14244)
- conformation determination method (orkgc:C14245)
- Cy5 (orkgc:C14246)
- Dopamine (orkgc:C14247)
- coupled enzyme activity measurement method (orkgc:C14248)
- Interferon gamma (orkgc:C14249)
- Boc-Gln-Gly-Arg-AMC (orkgc:C14250)
- Brij-35 (orkgc:C14251)
- chaperone activity assay (orkgc:C14252)
- chaperone coupled enzyme activity measurement method (orkgc:C14253)
- Doxorubicin (orkgc:C14254)
- HTRF cAMP Detection Kit (orkgc:C14255)
- U3A (orkgc:C14256)
- ELISA (orkgc:C14257)
- Phorbol myristate acetate (orkgc:C14258)
- IP1 redistribution assay (orkgc:C14259)
- viral transduction method (orkgc:C14260)
- mixture of perturbagens (orkgc:C14261)
- BTC AM Fluorescent Dye Indicator (orkgc:C14262)
- regulation of gene expression (orkgc:C14263)
- Vasopressin (orkgc:C14264)
- Tetracycline (orkgc:C14265)
- R18 peptide (orkgc:C14266)
- Bio-Tek Instruments (orkgc:C14267)
- BRL-54443 (orkgc:C14268)
- Fluo-8 Calcium Indicator (orkgc:C14269)
- pyrimidine-4,6-dicarboxylic acid (orkgc:C14270)
- G alpha O-Alexa Fluor 488 (orkgc:C14271)
- TopCount NXT Microplate Scintillation Luminescence Counter (orkgc:C14272)
- Neuropeptide S (orkgc:C14273)
- Tumor necrosis factor (orkgc:C14274)
- Agilent Technologies (orkgc:C14275)
- Oxytocin (orkgc:C14276)
- beta galactosidase induction (orkgc:C14277)
- Pluronic F-127 (orkgc:C14278)
- 7-amino-4-trifluoromethylcoumarin (orkgc:C14279)
- localization assay (orkgc:C14280)
- ATPLite Luminescence Assay System (orkgc:C14281)
- DIVERSet (orkgc:C14282)
- Ionomycin (orkgc:C14283)
- saturation binding (orkgc:C14284)
- protein stabilization (orkgc:C14285)
- Furafylline (orkgc:C14286)
- membrane protein (orkgc:C14287)
- PKLight (orkgc:C14288)
- Quinidine (orkgc:C14289)
- Monolight 2010 Luminometer (orkgc:C14290)
- COS-7 cell (orkgc:C14291)
- P-selectin glycoprotein ligand 1 (orkgc:C14292)
- nuclear magnetic resonance (orkgc:C14293)
- cell membrane format (orkgc:C14294)
- Ac-WEHD-CHO (orkgc:C14295)
- isomerase activity assay (orkgc:C14296)
- britelite plus (orkgc:C14297)
- COS-7 (orkgc:C14298)
- generic transferase (orkgc:C14299)
- organism-based format (orkgc:C14300)
- GE Healthcare (orkgc:C14301)
- isomerase (orkgc:C14302)
- Fluorogenic triple-helical peptide 3 (orkgc:C14303)
- regulation of proteasomal protein catabolic process (orkgc:C14304)
- unpurified (orkgc:C14305)
- H69AR cell (orkgc:C14306)
- Galanin (orkgc:C14307)
- Prostaglandin E2 (orkgc:C14308)
- Mannose-6-phosphate (orkgc:C14309)
- AK295 peptide (orkgc:C14310)
- Saponin (orkgc:C14311)
- FluxOR Thallium Detection Kit (orkgc:C14312)
- 4 Methylumbelliferyl-D-pyranoside (orkgc:C14313)
- LJL BioSystems (orkgc:C14314)
- Zaprinast (orkgc:C14315)
- TMR-pS259-Raf peptide (orkgc:C14316)
- degree Celsius (orkgc:C14317)
- WRO (orkgc:C14318)
- H4 (orkgc:C14319)
- cuvette (orkgc:C14320)
- Wee1-like protein-Luciferin 4-monooxygenase (orkgc:C14321)
- Estrogen-Alexa 633 (orkgc:C14322)
- Bruker (orkgc:C14323)
- Thrombopoietin (orkgc:C14324)
- Resorufin (orkgc:C14325)
- SK-BR-3 (orkgc:C14326)
- rabbit reticulocyte lysate format (orkgc:C14327)
- Ubiquitin-Rho (orkgc:C14328)
- siRNA (orkgc:C14329)
- SK-N-SH cell (orkgc:C14330)
- enzyme regulator (orkgc:C14331)
- Fluorophosphonate-rhodamine (orkgc:C14332)
- TG003 (orkgc:C14333)
- ChemBridge (orkgc:C14334)
- P450-Glo CYP2D6 Screening System (orkgc:C14335)
- 3-O-methyl-fluorescein (orkgc:C14336)
- transporter assay (orkgc:C14337)
- AAT Bioquest (orkgc:C14338)
- Wallac MicroBeta Liquid Scintillation Counter (orkgc:C14339)
- Bright-Glo Luciferase Assay System (orkgc:C14340)
- Thrombin Receptor Activator Peptide 6 (orkgc:C14341)
- whole cell lysate format (orkgc:C14342)
- Sigma-Aldrich (orkgc:C14343)
- Chroma-Glo Luciferase Assay System (orkgc:C14344)
- Dual-Luciferase Reporter Assay System (orkgc:C14345)
- MOPS (orkgc:C14346)
- platelet activation assay (orkgc:C14347)
- N2a (orkgc:C14348)
- Bisindolylmaleimide (orkgc:C14349)
- Schistosoma mansoni (orkgc:C14350)
- P450-Glo CYP1A2 Screening System (orkgc:C14351)
- lyase (orkgc:C14352)
- Leuconostoc mesenteroides (orkgc:C14353)
- ELx808 Absorbance Microplate Reader (orkgc:C14354)
- Diphosphomevalonate (orkgc:C14355)
- Texas red (orkgc:C14356)
- Thapsigargin (orkgc:C14357)
- Caspase Glo 3/7 Assay (orkgc:C14358)
- thermal shift (orkgc:C14359)
- Apelin-13 (orkgc:C14360)
- synthesis by a chemical process (orkgc:C14361)
- GW8510 (orkgc:C14362)
- Cysteine (orkgc:C14363)
- Beta-Glo Assay System (orkgc:C14364)
- platelet activation (orkgc:C14365)
- Rhodamine (orkgc:C14366)
- Pancreatic trypsin inhibitor (orkgc:C14367)
- P450-Glo CYP3A4 Screening System (orkgc:C14368)
- ULight poly-GT (orkgc:C14369)
- GW5074 (orkgc:C14370)
- TransIT-LT1 (orkgc:C14371)
- maximal activation (orkgc:C14372)
- Estrogen (orkgc:C14373)
- P450-Glo CYP2C19 Screening System (orkgc:C14374)
- Hep G2 cell (orkgc:C14375)
- Phosphoenolpyruvate (orkgc:C14376)
- Thioflavine S (orkgc:C14377)
- MCF7 cell (orkgc:C14378)
- Glucose-6-phosphate (orkgc:C14379)
- molar (orkgc:C14380)
- 5-Carboxamidotryptamine (orkgc:C14381)
- Cambrex (orkgc:C14382)
- protease (orkgc:C14383)
- fMLFF peptide (orkgc:C14384)
- 1, 4 methyllumbelliferone (orkgc:C14385)
- SYPRO orange dye (orkgc:C14386)
- Lysophosphatidylinositol (orkgc:C14387)
- Arachidonic acid (orkgc:C14388)
- Diminazene aceturate (orkgc:C14389)
- Human immunodeficiency virus 1 (orkgc:C14390)
- secreted (orkgc:C14391)
- drug transport (orkgc:C14392)
- lyase activity assay (orkgc:C14393)
- P450-Glo CYP2C9 Screening System (orkgc:C14394)
- unfolded conformation (orkgc:C14395)
- apoptosis assay (orkgc:C14396)
- Avance III (orkgc:C14397)
- Epstein-Barr virus (orkgc:C14398)
- FDSS7000 (orkgc:C14399)
- Cell Signaling (orkgc:C14400)
- VICTOR X3 Multilabel Plate Reader (orkgc:C14401)
- ADP Hunter Plus (orkgc:C14402)
- BJ (orkgc:C14403)
- Pyr-RTKR-AMC (orkgc:C14404)
- Photon Technology International (orkgc:C14405)
- C6 (orkgc:C14406)
- 8453 UV-Visible Spectrophotometer (orkgc:C14407)
- [125I]Y10-neuropeptide S (orkgc:C14408)
- ONE-Glo Luciferase Assay System (orkgc:C14409)
- OptEIA Human IL-8 ELISA Set (orkgc:C14410)
- Zeiss (orkgc:C14411)
- Analytical Luminescence Laboratory (orkgc:C14412)
- protein unfolding assay (orkgc:C14413)
- L-AP4 (orkgc:C14414)
- cell growth assay (orkgc:C14415)
- Schneider's Drosophila Line 2 (orkgc:C14416)
- Interleukin-3 (orkgc:C14417)
- Enterococcus faecalis (orkgc:C14418)
- LANCE cAMP Detection Kit (orkgc:C14419)
- Interleukin-8 (orkgc:C14420)
- Luciferin-H (orkgc:C14421)
- Trypanosoma brucei (orkgc:C14422)
- Neuropeptide W (orkgc:C14423)
- Chlorocebus aethiops (orkgc:C14424)
- Thyrotropin-releasing hormone (orkgc:C14425)
- HTScan IKK-beta Kinase Assay Kit (orkgc:C14426)
- DNA (orkgc:C14427)
- Ac-DEVD-AFC (orkgc:C14428)
- BSC-1 (orkgc:C14429)
- fluorescent protein reporter gene assay (orkgc:C14430)
- CBF-his/runx1-biotin protein complex (orkgc:C14431)
- Pseudomonas aeruginosa PAO1 (orkgc:C14432)
- aggregated (orkgc:C14433)
- C2C12 (orkgc:C14434)
- 6,8-difluoro-4-methylumbelliferyl phosphate (orkgc:C14435)
- Sus scrofa (orkgc:C14436)
- Thermo Fisher Scientific (orkgc:C14437)
- Yersinia enterocolitica (orkgc:C14438)
- Molecular Probes (orkgc:C14439)
- Proteasome-Glo Chymotrypsin-Like Assay (orkgc:C14440)
- 24 well plate (orkgc:C14441)
- signal transduction assay (orkgc:C14442)
- MES (orkgc:C14443)
- Boc-Val-Pro-Arg-AMC (orkgc:C14444)
- lysate based (orkgc:C14445)
- GM-TriDAP peptide (orkgc:C14446)
- Lipofectin (orkgc:C14447)
- Beta-hydroxybutyryl coenzyme A (orkgc:C14448)
- SpectraMax 190 Microplate Reader (orkgc:C14449)
- peptide (orkgc:C14450)
- percent growth inhibition (orkgc:C14451)
- The NatProd Collection (orkgc:C14452)
- Profluorescent 1-AMA (orkgc:C14453)
- Retinoic acid (orkgc:C14454)
- Ubiquitin-AMC (orkgc:C14455)
- BacTiter-Glo Microbial Cell Viability Assay (orkgc:C14456)
- HTRF KinEASE-TK (orkgc:C14457)
- cell morphology assay (orkgc:C14458)
- CD40 (orkgc:C14459)
- ion channel assay (orkgc:C14460)
- 1-Aminoanthracene (orkgc:C14461)
- Gilson (orkgc:C14462)
- MSC 80 (orkgc:C14463)
- Sphingosine 1-phosphate (orkgc:C14464)
- foreign promoter region (orkgc:C14465)
- Bos taurus (orkgc:C14466)
- Caenorhabditis elegans (orkgc:C14467)
- antibiotic resistance (orkgc:C14468)
- SNC80 (orkgc:C14469)
- Doxycycline (orkgc:C14470)
- HEL cell (orkgc:C14471)
- Vybrant MTT Cell Proliferation Assay Kit (orkgc:C14472)
- VICTOR X2 Multilabel Plate Reader (orkgc:C14473)
- isothermal titration calorimetry (orkgc:C14474)
- HTScan PKC-beta Kinase Assay Kit (orkgc:C14475)
- Ac-DEVD-CHO (orkgc:C14476)
- High Performance PBX Calcium Assay Kit (orkgc:C14477)
- Ac-LEHD-AMC (orkgc:C14478)
- MicroSource Discovery Systems (orkgc:C14479)
- FLx800 Fluorescence Microplate Reader (orkgc:C14480)
- Tecan (orkgc:C14481)
- point mutated (orkgc:C14482)
- NINDS library (orkgc:C14483)
- Luciferin-H EGE (orkgc:C14484)
- alphascreen (orkgc:C14485)
- AB SCIEX (orkgc:C14486)
- biofilm formation (orkgc:C14487)
- DABCYL-Thr-Pro-Leu-Lys~Ser-Pro-Pro-Pro-Ser-Pro-Arg-EDANS (orkgc:C14488)
- ML-2 (orkgc:C14489)
- phosphatidylinositol (3,4,5)-triphosphate (orkgc:C14490)
- PPC-1 (orkgc:C14491)
- API 4000 LC/MS/MS System (orkgc:C14492)
- Thyroid-stimulating hormone (orkgc:C14493)
- Z-Leu-Leu-Leu-al (orkgc:C14494)
- Suc-Ala-Ala-Pro-Phe-AMC (orkgc:C14495)
- structural (orkgc:C14496)
- KOPN-8 (orkgc:C14497)
- Resorufin alpha-D-pyranoside (orkgc:C14498)
- Phosphomevalonate (orkgc:C14499)
- Influenza virus (orkgc:C14500)
- Yersinia pseudotuberculosis (orkgc:C14501)
- Tunicamycin (orkgc:C14502)
- CD4-TLR4 (orkgc:C14503)
- Infectious bronchitis virus (orkgc:C14504)
- fMLFK-FITC (orkgc:C14505)
- HEC-1-A (orkgc:C14506)
- Oryza sativa Japonica Group (orkgc:C14507)
- cofactor coupled enzyme activity measurement method (orkgc:C14508)
- A23187 (orkgc:C14509)
- CSM14.1 (orkgc:C14510)
- Angiotensin II (orkgc:C14511)
- IPEGAL (orkgc:C14512)
- Lithium chloride (orkgc:C14513)
- Glucose (orkgc:C14514)
- FluoZin (orkgc:C14515)
- VP-ITC Isothermal Titration Calorimeter (orkgc:C14516)
- Rauwolscine (orkgc:C14517)
- NBD C6-HPC (orkgc:C14518)
- protein-DNA interaction assay (orkgc:C14519)
- THP-1 cell (orkgc:C14520)
- Leukemia (orkgc:C14521)
- viral entry into host cell (orkgc:C14522)
- Calcium 5 Assay Kit (orkgc:C14523)
- MV-4-11 (orkgc:C14524)
- Rolipram (orkgc:C14525)
- [35S]GTP-gamma S (orkgc:C14526)
- MurNAc-L-Ala-gamma-D-Glu-mDAP (orkgc:C14527)
- alternate confirmatory assay (orkgc:C14528)
- HTScan PKC-theta Kinase Assay Kit (orkgc:C14529)
- NOD1 (orkgc:C14530)
- NOD2 (orkgc:C14531)
- Infinite PF200 (orkgc:C14532)
- hour (orkgc:C14533)
- protein-turnover assay (orkgc:C14534)
- mass spectrometry (orkgc:C14535)
- HPLC System (orkgc:C14536)
- Dynorphin A (orkgc:C14537)
- LYMP2-001 (orkgc:C14538)
- LYMP2-002 (orkgc:C14539)
- LYMP2-005 (orkgc:C14540)
- MicroCal (orkgc:C14541)
- LYMP2-006 (orkgc:C14542)
- LYMP2-003 (orkgc:C14543)
- LYMP2-004 (orkgc:C14544)
- LYMP2-009 (orkgc:C14545)
- LYMP2-007 (orkgc:C14546)
- LYMP2-008 (orkgc:C14547)
- ChemDiv (orkgc:C14548)
- thrombocyte differentiation (orkgc:C14549)
- HTFC Screening System (orkgc:C14550)
- OCI-Ly3 (orkgc:C14551)
- Dy647-pS136-Bad peptide (orkgc:C14552)
- Saccharomyces cerevisiae (orkgc:C14553)
- counts per second (orkgc:C14554)
- AxioVert 200M Fluorescence Light Microscope (orkgc:C14555)
- protease activity assay (orkgc:C14556)
- Microtubule-associated protein tau (orkgc:C14557)
- LYMP2-020 (orkgc:C14558)
- LYMP2-023 (orkgc:C14559)
- LYMP2-024 (orkgc:C14560)
- LYMP2-021 (orkgc:C14561)
- LYMP2-022 (orkgc:C14562)
- LYMP2-025 (orkgc:C14563)
- LYMP2-026 (orkgc:C14564)
- growth inhibition (orkgc:C14565)
- LYMP2-012 (orkgc:C14566)
- LYMP2-013 (orkgc:C14567)
- LYMP2-010 (orkgc:C14568)
- LYMP2-011 (orkgc:C14569)
- LYMP2-016 (orkgc:C14570)
- LYMP2-017 (orkgc:C14571)
- LYMP2-014 (orkgc:C14572)
- LYMP2-015 (orkgc:C14573)
- FuGENE 6 (orkgc:C14574)
- LYMP2-018 (orkgc:C14575)
- LYMP2-019 (orkgc:C14576)
- LYMP1-002 (orkgc:C14577)
- LYMP1-003 (orkgc:C14578)
- 6,8-difluoro-7-hydroxy-4-methylcoumarin (orkgc:C14579)
- fluorescent protein induction (orkgc:C14580)
- Kinase-Glo Plus Luminescent Kinase Assay (orkgc:C14581)
- AMINCO-Bowman Series 2 Luminescence Spectrometer (orkgc:C14582)
- transferase activity assay (orkgc:C14583)
- Triiodothyronine (orkgc:C14584)
- West Nile virus (orkgc:C14585)
- Macrophage inflammatory protein 3 alpha (orkgc:C14586)
- Leishmania mexicana (orkgc:C14587)
- circadian rhythm (orkgc:C14588)
- Stibavirin (orkgc:C14589)
- Indo-1 Calcium Indicator (orkgc:C14590)
- Mevalonate (orkgc:C14591)
- Rhodamine-conjugated sulfonate ester (orkgc:C14592)
- Coenzyme A (orkgc:C14593)
- Para-nitrophenol (orkgc:C14594)
- Packard Fusion Microplate Reader (orkgc:C14595)
- protein stability assay (orkgc:C14596)
- brain (orkgc:C14597)
- RS repeat peptide (orkgc:C14598)
- HTRF cAMP HiRange Detection Kit (orkgc:C14599)
- DAMGO (orkgc:C14600)
- DLD-1 cell (orkgc:C14601)
- protease coupled enzyme activity measurement method (orkgc:C14602)
- FluoZin-2 (orkgc:C14603)
- Prostaglandin (orkgc:C14605)
- fluorometer (orkgc:C14606)
- WIN55212 (orkgc:C14607)
- Equus caballus (orkgc:C14608)
- Phosphoethanolamine (orkgc:C14609)
- Lonza (orkgc:C14610)
- Experiment (orkgc:C15000)
- R74758 (orkgc:C15001)
- Resource (orkgc:C15002)
- phosphorylation assay (orkgc:C15004)
- Canis lupus familiaris (orkgc:C15005)
- beta lactamase reporter gene assay (orkgc:C15006)
- Go6976 (orkgc:C15007)
- H-Leu-NHMec (orkgc:C15008)
- western blot (orkgc:C15009)
- mitogen-activated protein kinase 1 (orkgc:C15010)
- Boc-Leu-Gly-Arg-AMC (orkgc:C15011)
- H5N1 subtype (orkgc:C15012)
- Plasmodium falciparum (orkgc:C15013)
- Geobacillus stearothermophilus (orkgc:C15014)
- Resorufin beta-D-glucopyranoside (orkgc:C15015)
- AlphaScreen Beads (orkgc:C15016)
- organism behavior assay (orkgc:C15017)
- BSR (orkgc:C15018)
- Fluorescein Di-beta-D-Glucopyranoside (orkgc:C15019)
- ELISA cAMP Competition Assay using cAMP-Screen Direct System (orkgc:C15020)
- quorum sensing (orkgc:C15021)
- MSD SECTOR instrument (orkgc:C15022)
- VERO 76 cell (orkgc:C15023)
- selectivity assay (orkgc:C15024)
- Calcium Assay Kit (orkgc:C15025)
- Adapta Universal Kinase Assay Kit (orkgc:C15026)
- Bluetongue virus 10 (orkgc:C15027)
- ratio (orkgc:C15028)
- 14LckpCAP394 peptide (orkgc:C15029)
- phosphorylated (orkgc:C15030)
- Tango GPCR Assay System (orkgc:C15031)
- partially purified (orkgc:C15032)
- Phospho(Thr180/Tyr182)/Total p38 Assay Whole Cell Lysate Kit (orkgc:C15033)
- Vibrio harveyi (orkgc:C15034)
- Applied Biosystems (orkgc:C15035)
- LDV peptide (orkgc:C15036)
- Salmonella enterica subsp. enterica serovar Typhi (orkgc:C15037)
- LI-COR Biosciences (orkgc:C15038)
- Amplex Red Glucose/Glucose Oxidase Assay Kit (orkgc:C15039)
- Glycogen (orkgc:C15040)
- Muramyl dipeptide (orkgc:C15041)
- Cyclin B1-Luciferin 4-monooxygenase (orkgc:C15042)
- Arabidopsis thaliana (orkgc:C15043)
- regulation of RNA splicing (orkgc:C15044)
- ligase (orkgc:C15045)
- Alpha-D-glucose (orkgc:C15046)
- cell permeability assay (orkgc:C15047)
- Meso Scale Discovery (orkgc:C15048)
- Mitogen-activated protein kinase 14 (orkgc:C15049)
- Melanin-concentrating hormone (orkgc:C15050)
- Venezuelan equine encephalitis virus (orkgc:C15051)
- viral genome replication (orkgc:C15052)
- Odyssey Infrared Imager (orkgc:C15053)
- R76209 (orkgc:C16001)
- R76809 (orkgc:C16003)
- Sustainable cities and communities (orkgc:C16004)
- Standard (orkgc:C16005)
- R107684 (orkgc:C17000)
- Organization (orkgc:C17001)
- R107801 (orkgc:C17002)
- algorithm type (orkgc:C17006)
- Matrix (orkgc:C17007)
- Machine learning algorithm (orkgc:C17008)
- Machine learning feature (orkgc:C17009)
- Machine learning classification category (orkgc:C17010)
- R108555 (orkgc:C17011)
- About LUBM (orkgc:C17012)
- About SPARQL (orkgc:C17013)
- More about Query optimization (orkgc:C17014)
- Reference work (orkgc:C17015)
- Reference Work (orkgc:C17016)
- OWL web ontology language reference (orkgc:C17019)
- R111221 (orkgc:C17021)
- R111231 (orkgc:C17022)
- R111267 (orkgc:C17024)
- Type (orkgc:C17025)
- R111494 (orkgc:C17026)
- R111507 (orkgc:C17027)
- R111540 (orkgc:C17028)
- R111820 (orkgc:C17029)
- PotentialType (orkgc:C17030)
- DevelopmentType (orkgc:C17031)
- R111871 (orkgc:C17032)
- RE Type (orkgc:C17033)
- R111911 (orkgc:C17034)
- R111947 (orkgc:C17035)
- R112241 (orkgc:C17037)
- R135229 (orkgc:C18000)
- R135242 (orkgc:C18001)
- R135372 (orkgc:C18002)
- R135385 (orkgc:C18003)
- R135394 (orkgc:C18004)
- R135413 (orkgc:C18005)
- R135416 (orkgc:C18006)
- R135770 (orkgc:C18008)
- R135799 (orkgc:C18009)
- R135811 (orkgc:C18010)
- R136324 (orkgc:C18013)
- R136332 (orkgc:C18014)
- R136348 (orkgc:C18015)
- R136364 (orkgc:C18016)
- Component for power generation or conversion (orkgc:C18017)
- Software type (orkgc:C18018)
- R136400 (orkgc:C18019)
- R136421 (orkgc:C18020)
- R137220 (orkgc:C19000)
- R137223 (orkgc:C19001)
- R137248 (orkgc:C19002)
- A set of Reference Indicators for Cities (orkgc:C19006)
- qb:ComponentProperty (orkgc:C2)
- Smart city dimension (orkgc:C20000)
- Smart city action (orkgc:C20001)
- Smart city goal (orkgc:C20002)
- Smart city Application scope (orkgc:C20003)
- Smart city Data source (orkgc:C20004)
- Target users (orkgc:C20005)
- Recommended items (orkgc:C20006)
- Recommendation approach (orkgc:C20007)
- Recommendation method (orkgc:C20008)
- User preferences type (orkgc:C20009)
- User preferences form (orkgc:C20010)
- Exploited data (orkgc:C20011)
- Implementation level (orkgc:C20012)
- Type of intellectual contribution (orkgc:C20013)
- City (orkgc:C20014)
- Country (orkgc:C20015)
- Smart city actors (orkgc:C20016)
- Goals (orkgc:C20018)
- Data (orkgc:C20019)
- Application (orkgc:C20020)
- Interface (orkgc:C20021)
- Technology (orkgc:C20022)
- Synthesis (orkgc:C20028)
- Sensor (orkgc:C20029)
- obo:STATO_0000196 (orkgc:C2003)
- Temperature (orkgc:C20031)
- Spectroscopic feature (orkgc:C20032)
- Ontology (orkgc:C20034)
- Chemical (orkgc:C20035)
- Thermometers (orkgc:C20036)
- Lanthanides (orkgc:C20037)
- Organic dye (orkgc:C20038)
- Emission intensity (orkgc:C20039)
- obo:APOLLO_SV_00000002 (orkgc:C2004)
- Polymeric nanoparticles (orkgc:C20040)
- Quantity Kind (orkgc:C20041)
- Lipid based-nanoparticles (orkgc:C20042)
- Biological nanoparticles (orkgc:C20043)
- Particle size of nanoparticles (orkgc:C20046)
- Zeta potential of nanoparticles (orkgc:C20047)
- Potential units (orkgc:C20048)
- time:Interval (orkgc:C2005)
- Line broadening in plasmas property (orkgc:C20050)
- Line broadening in plasmas Type (orkgc:C20052)
- Software development approach (orkgc:C20053)
- Surveillance approach (orkgc:C20055)
- Architecture structure (orkgc:C20057)
- phase cycle (orkgc:C20058)
- Software (orkgc:C20059)
- Software (orkgc:C20060)
- Open source software (orkgc:C20062)
- Free software (orkgc:C20063)
- GIS software (orkgc:C20065)
- Database (orkgc:C20066)
- Epidemiological surveillance user (orkgc:C20069)
- User (orkgc:C20070)
- Statistical Modeling (orkgc:C20071)
- Statistical Technique (orkgc:C20072)
- descriptive statistic (orkgc:C20073)
- descriptive statistics (orkgc:C20074)
- Statistics software (orkgc:C20075)
- Epidemiological surveillance process (orkgc:C20076)
- Plasma measurement (orkgc:C20077)
- Plasma characteristics (orkgc:C20078)
- biogas (orkgc:C20079)
- coal (orkgc:C20080)
- sector (orkgc:C20081)
- client (orkgc:C20082)
- energy demand sector (orkgc:C20083)
- endogenous data (orkgc:C20084)
- commercial sector (orkgc:C20086)
- household sector (orkgc:C20087)
- industry sector (orkgc:C20088)
- energy transformation sector (orkgc:C20090)
- electricity sector (orkgc:C20091)
- heat pump (orkgc:C20092)
- study (orkgc:C20094)
- transport sector (orkgc:C20095)
- Mobile software (orkgc:C20098)
- Health organization (orkgc:C20099)
- Advantage (orkgc:C20100)
- Epidemiological surveillance purpose (orkgc:C20101)
- Research finding (orkgc:C20102)
- Research Hypothesis (orkgc:C20103)
- Limit (orkgc:C20104)
- Electron (orkgc:C20106)
- Algorithm (orkgc:C20107)
- PTB7-Th (orkgc:C20108)
- Organic solar cells (orkgc:C20109)
- knowledge source (orkgc:C20111)
- Learning purpose (orkgc:C20112)
- Application domain (orkgc:C20113)
- Learning data source (orkgc:C20114)
- Input format (orkgc:C20115)
- Output format (orkgc:C20118)
- Learning method (orkgc:C20119)
- Learning tool (orkgc:C20120)
- Term (orkgc:C20123)
- Relationship (orkgc:C20124)
- Property (orkgc:C20125)
- Axiom (orkgc:C20126)
- Evaluation metric (orkgc:C20129)
- data set (orkgc:C20130)
- wind (orkgc:C20131)
- DataType (orkgc:C20132)
- LUMO (orkgc:C20134)
- HOMO (orkgc:C20135)
- Energy band gap (orkgc:C20136)
- Open circuit voltage (orkgc:C20137)
- Short-circuit current density (orkgc:C20138)
- Fill factor (orkgc:C20139)
- Power conversion efficiency (orkgc:C20140)
- Mobility type (orkgc:C20141)
- Docetaxel (orkgc:C20142)
- Lecithin, Soybean (orkgc:C20143)
- Cremophor (orkgc:C20144)
- risperidone (orkgc:C20145)
- Medium chain triglycerides (orkgc:C20146)
- Soybean Oil (orkgc:C20147)
- Sodium oleate (orkgc:C20148)
- saquinavir (orkgc:C20149)
- flaxseed oil (orkgc:C20150)
- Safflower Oil (orkgc:C20151)
- Permeation flux (orkgc:C20152)
- Permeation flux units (orkgc:C20154)
- Tarcolimus (orkgc:C20155)
- betamethasone (orkgc:C20156)
- methodical focus (orkgc:C20157)
- acronym (orkgc:C20158)
- institution (orkgc:C20159)
- contact person (orkgc:C20160)
- output data (orkgc:C20162)
- R149061 (orkgc:C21000)
- Phase 1 clinical trial (orkgc:C21002)
- Phase 2 clinical trial (orkgc:C21003)
- Pilot Study (orkgc:C21004)
- obo:NCIT_C153598 (orkgc:C21006)
- obo:GAZ_00000071 (orkgc:C21007)
- R149514 (orkgc:C21008)
- R149560 (orkgc:C21009)
- obo:SO_0000704 (orkgc:C21010)
- R149601 (orkgc:C21011)
- Knowledge assessment (orkgc:C21012)
- Epidemiological surveillance (orkgc:C21014)
- licence (orkgc:C21015)
- Indicator (orkgc:C21017)
- demand (orkgc:C21018)
- renewable (orkgc:C21019)
- process (orkgc:C21020)
- uncertainty approach (orkgc:C21021)
- hardware (orkgc:C21022)
- data format (orkgc:C21024)
- model (orkgc:C21025)
- R150425 (orkgc:C21026)
- R150595 (orkgc:C21027)
- R150607 (orkgc:C21028)
- R150685 (orkgc:C21029)
- Component (orkgc:C21030)
- Process group (orkgc:C21031)
- R150770 (orkgc:C21032)
- data item (orkgc:C21033)
- Manufacturing Process (orkgc:C21034)
- R150790 (orkgc:C21035)
- Process variant (orkgc:C21036)
- Qualities (orkgc:C21038)
- Component property (orkgc:C21039)
- Material type (orkgc:C21040)
- IsoelectronicityClass (orkgc:C21041)
- Xray laser capillaries (orkgc:C21042)
- System qualities (orkgc:C21043)
- Sytem sub sub quality (orkgc:C21047)
- Bioavailability (orkgc:C21049)
- intraocular pressure (orkgc:C21050)
- Cyclosporin (orkgc:C21051)
- Solubility (orkgc:C21052)
- Dexamethasone (orkgc:C21053)
- Cylodextrin-drug complex (orkgc:C21054)
- Acetazolamide (orkgc:C21055)
- XrayResource (orkgc:C21057)
- PlasmaUnit (orkgc:C21058)
- Dorzolamide (orkgc:C21059)
- Hydrocortisone (orkgc:C21060)
- Pilocarpine (orkgc:C21061)
- Buserelin (orkgc:C21062)
- R152160 (orkgc:C21063)
- R152170 (orkgc:C21064)
- R152828 (orkgc:C21065)
- Atomic Resource (orkgc:C21066)
- R153113 (orkgc:C21067)
- R153118 (orkgc:C21068)
- goalType (orkgc:C21069)
- Funding Information (orkgc:C21070)
- year (orkgc:C21071)
- Reactor (orkgc:C21072)
- Pressure (orkgc:C21073)
- Pressure unit (orkgc:C21074)
- has value (orkgc:C21075)
- R154390 (orkgc:C21076)
- Methods of catalyst preparation (orkgc:C21077)
- content in wt% (orkgc:C21078)
- R154474 (orkgc:C21079)
- Disoxaril (orkgc:C21080)
- Estradiol (orkgc:C21081)
- Insulin (orkgc:C21082)
- Midazolam (orkgc:C21083)
- Budesonide (orkgc:C21084)
- Recombinant human growth hormone (orkgc:C21085)
- Rifampicin (orkgc:C21086)
- Voriconazole (orkgc:C21087)
- wavelength (orkgc:C21088)
- lifetime (orkgc:C21089)
- potential (orkgc:C21090)
- R155844 (orkgc:C21091)
- R156124 (orkgc:C21092)
- R156306 (orkgc:C21093)
- R159178 (orkgc:C22000)
- R159190 (orkgc:C22001)
- Tailored Forming Measurement (orkgc:C22002)
- R159270 (orkgc:C22003)
- Layer (orkgc:C22004)
- R159280 (orkgc:C22005)
- R159441 (orkgc:C22006)
- Measurement (orkgc:C22007)
- Quality (orkgc:C22008)
- R159533 (orkgc:C22009)
- R160259 (orkgc:C22010)
- Tadalafil (orkgc:C22011)
- Mannitol (orkgc:C22012)
- Lactitol (orkgc:C22013)
- Indomethacin (orkgc:C22014)
- Copovidone (orkgc:C22015)
- Arginine (orkgc:C22016)
- Efavirenz (orkgc:C22017)
- Xylitol (orkgc:C22018)
- Itraconazole (orkgc:C22019)
- Felodipine (orkgc:C22020)
- Azithromycin (orkgc:C22021)
- Nisoldipine (orkgc:C22022)
- Ibuprofen (orkgc:C22023)
- isonicotinamide (orkgc:C22024)
- Artesunate (orkgc:C22025)
- Atovaquone (orkgc:C22026)
- Nifedipine (orkgc:C22027)
- Suvorexant (orkgc:C22028)
- Naproxen (orkgc:C22029)
- Lornoxicam (orkgc:C22030)
- Olanzapine (orkgc:C22031)
- Osthole (orkgc:C22032)
- microneedles (orkgc:C22033)
- Tip diameter (orkgc:C22034)
- Basal diameter of microneedles (orkgc:C22035)
- Total height of Microneedles (orkgc:C22036)
- Insulin loaded height of microneedles (orkgc:C22037)
- Insulin content (orkgc:C22038)
- Insulin dose in study (orkgc:C22039)
- Dose units (orkgc:C22040)
- Peak insulin concentration (orkgc:C22041)
- Concentration units (orkgc:C22042)
- Time to peak insulin concentration (orkgc:C22043)
- Relative bioavailability (orkgc:C22044)
- minimum glucose level (orkgc:C22045)
- Time to minimum glucose level (orkgc:C22046)
- relative pharmacological availability (orkgc:C22047)
- Melting temperature (orkgc:C22048)
- Melting temperature (orkgc:C22049)
- Glass-transition temperature (orkgc:C22050)
- Crystallinity (orkgc:C22051)
- Life span (orkgc:C22052)
- R161153 (orkgc:C22053)
- Property (orkgc:C22054)
- R161228 (orkgc:C22055)
- molecular weight (orkgc:C22056)
- Enzyme (orkgc:C22057)
- R161312 (orkgc:C22058)
- time (orkgc:C22059)
- recycling (orkgc:C22060)
- treatment (orkgc:C22061)
- R161545 (orkgc:C22062)
- recycling type (orkgc:C22063)
- Xray laser applications (orkgc:C22064)
- Papertype (orkgc:C22066)
- dynamical system (orkgc:C22068)
- Mathematical theorem (orkgc:C23000)
- R151998 (orkgc:C23001)
- Computer Science (orkgc:C23002)
- R166011 (orkgc:C23003)
- R166612 (orkgc:C23005)
- Equipment (orkgc:C23006)
- Quantity (orkgc:C23007)
- Quantity Value (orkgc:C23008)
- Unit (orkgc:C23009)
- Role (orkgc:C23010)
- Guide (orkgc:C23011)
- R166719 (orkgc:C23012)
- Guidance (orkgc:C23013)
- Url (orkgc:C23015)
- Abbreviation (orkgc:C23016)
- VideoObject (orkgc:C23026)
- VideoType (orkgc:C23027)
- Representation type (orkgc:C23028)
- Content (orkgc:C23029)
- Action (orkgc:C23030)
- Audience (orkgc:C23031)
- Context (orkgc:C23032)
- Video application context (orkgc:C23033)
- R171811 (orkgc:C23034)
- Requirements Engineering phase (orkgc:C23035)
- R172526 (orkgc:C23037)
- study (orkgc:C23038)
- study type (orkgc:C23039)
- Week (orkgc:C24000)
- R182248 (orkgc:C25000)
- Type of food (orkgc:C25001)
- Acquisition method (orkgc:C25002)
- Task perfom on pictures (orkgc:C25003)
- Type of annotation (orkgc:C25004)
- Licence type (orkgc:C25005)
- Xray spectroscopy (orkgc:C25006)
- population (orkgc:C26000)
- invasive species (orkgc:C26001)
- seed (orkgc:C26002)
- seedling (orkgc:C26003)
- plant community (orkgc:C26004)
- island habitat (orkgc:C26005)
- island (orkgc:C26006)
- island group (orkgc:C26007)
- Has location (orkgc:C26008)
- empirical research practice (orkgc:C27001)
- R186701 (orkgc:C27002)
- threats to validity (orkgc:C27003)
- data collection (orkgc:C27004)
- research question (orkgc:C27006)
- R187136 (orkgc:C28000)
- R187494 (orkgc:C28002)
- R187648 (orkgc:C28003)
- data analysis (orkgc:C28004)
- inferential statistics (orkgc:C28005)
- hypothesis testing (orkgc:C28006)
- regression analysis (orkgc:C28007)
- Hypothesis (orkgc:C28008)
- measures of frequency (orkgc:C28009)
- question type (orkgc:C29000)
- subquestion (orkgc:C29003)
- research paradigm (orkgc:C29004)
- research question answer (orkgc:C29005)
- measures of central tendency (orkgc:C29006)
- measures of dispersion or variation (orkgc:C29007)
- measures of position (orkgc:C29008)
- thematic analysis (orkgc:C29009)
- content analysis (orkgc:C29010)
- grounded theory (orkgc:C29011)
- machine learning (orkgc:C29012)
- classification type (orkgc:C29013)
- secondary research (orkgc:C29014)
- ComputerLanguage (orkgc:C29016)
- CreativeWork (orkgc:C29018)
- Organization (orkgc:C29020)
- Person (orkgc:C29021)
- R188448 (orkgc:C29022)
- Person (orkgc:C29025)
- action research (orkgc:C29027)
- interview (orkgc:C29028)
- survey (orkgc:C29029)
- research data (orkgc:C29030)
- data type (orkgc:C29031)
- data source (orkgc:C29032)
- hypothesis type (orkgc:C29033)
- qb:Concept (orkgc:C3)
- Value Specification (orkgc:C30000)
- R186441 (orkgc:C30001)
- error analysis (orkgc:C31000)
- regularity analysis (orkgc:C31001)
- comparative analysis (orkgc:C31002)
- triangulation (orkgc:C31003)
- category analysis (orkgc:C31004)
- coding (orkgc:C31005)
- sentiment analysis (orkgc:C31007)
- Knowledge Graph (orkgc:C31008)
- in-depth analysis (orkgc:C31009)
- Ontology development method (orkgc:C31012)
- Ontology development methodology (orkgc:C31013)
- Ontology development tool (orkgc:C31014)
- Ontology development process (orkgc:C31015)
- R194212 (orkgc:C31016)
- R194267 (orkgc:C31017)
- stakeholder analysis (orkgc:C31020)
- Ontology evaluation (orkgc:C31021)
- Ontology domain (orkgc:C31022)
- Domain knowledge (orkgc:C31023)
- literature analysis (orkgc:C31024)
- Software artefact (orkgc:C31026)
- R195759 (orkgc:C31027)
- model testing (orkgc:C31028)
- Ontology serialization language (orkgc:C32000)
- Actor (orkgc:C32001)
- Software component (orkgc:C32002)
- R198132 (orkgc:C32003)
- Software name (orkgc:C32006)
- Strength (orkgc:C32007)
- R198658 (orkgc:C32008)
- artefact analysis (orkgc:C32009)
- Young modulus (orkgc:C33001)
- Food group (orkgc:C34000)
- Toughness (orkgc:C34001)
- coating (orkgc:C34002)
- Solvent (orkgc:C34003)
- oxygen barrier (orkgc:C34004)
- water barrier (orkgc:C34005)
- Food Composition Tables (orkgc:C34006)
- INFOODS regional data center (orkgc:C34007)
- Food component (orkgc:C34009)
- R201585 (orkgc:C34010)
- Dataset type (orkgc:C34011)
- Dataset format (orkgc:C34012)
- R201946 (orkgc:C34014)
- theoretical or practical type (orkgc:C34015)
- diffractive optical element (orkgc:C34016)
- type of diffractive optical element (orkgc:C34017)
- field property (orkgc:C34018)
- Food (orkgc:C34019)
- design of diffractive optical element (orkgc:C34020)
- design algorithm (orkgc:C34022)
- range value with unit (orkgc:C34023)
- horizontal and vertical (orkgc:C34024)
- results of diffractive optical element (orkgc:C34027)
- R203428 (orkgc:C35000)
- R203645 (orkgc:C35001)
- R206311 (orkgc:C36000)
- R209291 (orkgc:C37000)
- framework (orkgc:C37001)
- internal combustion vehicle (orkgc:C37002)
- R209505 (orkgc:C37003)
- Dataset (orkgc:C37004)
- Baseline (orkgc:C38001)
- R215039 (orkgc:C39000)
- R215121 (orkgc:C39001)
- R215731 (orkgc:C39002)
- R215997 (orkgc:C39004)
- Aspect (orkgc:C39005)
- R216526 (orkgc:C39006)
- R40006 (orkgc:C4000)
- Quality type (orkgc:C40001)
- System measurements (orkgc:C40002)
- Plasma resources (orkgc:C40003)
- Plasma units (orkgc:C40004)
- R217516 (orkgc:C40010)
- R217535 (orkgc:C40011)
- system (orkgc:C40012)
- R217556 (orkgc:C40013)
- R218292 (orkgc:C40014)
- R220250 (orkgc:C40016)
- R220939 (orkgc:C40017)
- R221194 (orkgc:C40018)
- Soil (orkgc:C40019)
- Crop Yield (orkgc:C40020)
- Stress (orkgc:C40025)
- Strain (orkgc:C40026)
- R223104 (orkgc:C40027)
- R227989 (orkgc:C40028)
- R228749 (orkgc:C40029)
- Software feature (orkgc:C41000)
- R255271 (orkgc:C43000)
- R255298 (orkgc:C43001)
- R255305 (orkgc:C43002)
- R259041 (orkgc:C44000)
- Type of evaluation (orkgc:C44001)
- Machine or Human evaluation (orkgc:C44002)
- R260137 (orkgc:C45001)
- R262008 (orkgc:C46000)
- R277000 (orkgc:C48000)
- Scientific paper type (orkgc:C48001)
- File format (orkgc:C48002)
- R279223 (orkgc:C49003)
- qb:MeasureProperty (orkgc:C5)
- obo:IDO_0000513 (orkgc:C5000)
- R280212 (orkgc:C50000)
- R280556 (orkgc:C50003)
- R280568 (orkgc:C50004)
- R44415 (orkgc:C5001)
- R38248 (orkgc:C5004)
- R38098 (orkgc:C5005)
- case study (orkgc:C51000)
- R282301 (orkgc:C51001)
- R282321 (orkgc:C51003)
- Scientific challenge (orkgc:C52000)
- Challenge name (orkgc:C52001)
- task (orkgc:C52002)
- Semantic annotation task (orkgc:C52003)
- Challenge track (orkgc:C52004)
- Challenge platform (orkgc:C52005)
- SemTab system (orkgc:C52006)
- R285837 (orkgc:C52007)
- SemTab future work (orkgc:C52008)
- Edition (orkgc:C52009)
- Tabular dataset (orkgc:C52011)
- Purpose (orkgc:C52012)
- SemTab keyword (orkgc:C52013)
- Tabular dataset annotation (orkgc:C52015)
- SemTab purpose (orkgc:C52017)
- R286070 (orkgc:C52018)
- Matching strategy (orkgc:C52019)
- System module (orkgc:C52020)
- Position (orkgc:C52021)
- R286081 (orkgc:C52022)
- Technique (orkgc:C52023)
- spliting technique (orkgc:C52024)
- Tool (orkgc:C52026)
- Event (orkgc:C52027)
- Problem in tabular data (orkgc:C52028)
- Lesson learned (orkgc:C52029)
- Entity (orkgc:C52030)
- SemTab method (orkgc:C52032)
- SemTab participants comments (orkgc:C52033)
- R288296 (orkgc:C53000)
- SemTab assumption (orkgc:C54000)
- quantitative value (orkgc:C55000)
- SemTab tool feature (orkgc:C56000)
- Neural-symbolic purpose (orkgc:C57000)
- Neural-symbolic keyword (orkgc:C57001)
- R566789 (orkgc:C57002)
- Image resolution (orkgc:C57003)
- R566798 (orkgc:C57004)
- Image label (orkgc:C58000)
- Neural-symbolic system (orkgc:C58001)
- Connectionist Models (orkgc:C58002)
- Symbolic model (orkgc:C58003)
- configuration setting (orkgc:C58005)
- Neural-symbolic feature (orkgc:C58006)
- R567058 (orkgc:C58008)
- R567104 (orkgc:C58009)
- Step (orkgc:C58014)
- AndCompound (orkgc:C58017)
- Application Domain (orkgc:C58018)
- Atomic Pattern (orkgc:C58019)
- Data (orkgc:C58020)
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- (http://www.w3.org/1999/02/22-rdf-syntax-ns#Seq)
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Properties
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- Network for fault classification (orkgp:P110002)
- Input data type (orkgp:P110003)
- Physics included (orkgp:P110004)
- Contribution points (orkgp:P110005)
- Evaluation metric (orkgp:P110006)
- FAIR Principle (orkgp:P110007)
- compliance level 1 (orkgp:P110008)
- compliance level 2 (orkgp:P110009)
- compliance level 3 (orkgp:P110010)
- compliance level 1 score (orkgp:P110011)
- compliance level 2 score (orkgp:P110012)
- compliance level 3 score (orkgp:P110013)
- climate exposure (orkgp:P110020)
- production system (orkgp:P110021)
- pseudo f-measure (orkgp:P110023)
- subject (orkgp:P110024)
- object (orkgp:P110025)
- Start (orkgp:P110028)
- End (orkgp:P110029)
- scenarios (orkgp:P110030)
- Electric Vehicles Penetration rate (orkgp:P110031)
- Energy demand (orkgp:P110032)
- Material (orkgp:P110033)
- Material (orkgp:P110035)
- Process (orkgp:P110036)
- Data (orkgp:P110037)
- Material (orkgp:P110038)
- Process (orkgp:P110039)
- Method (orkgp:P110040)
- Predictors (independent variables) (orkgp:P110042)
- Models (Estimators) (orkgp:P110043)
- Dataset split (orkgp:P110044)
- Hyperparameter tuning (orkgp:P110045)
- Specific goals of the research (orkgp:P110046)
- Model evaluation (orkgp:P110047)
- Data observation stations (orkgp:P110048)
- Time framework (planning, modeling) (orkgp:P110049)
- Time step (orkgp:P110050)
- AIS data (orkgp:P110051)
- test machine (orkgp:P110052)
- off-axis loads? (orkgp:P110053)
- Did WECs occur? (orkgp:P110054)
- Lubrication (orkgp:P110055)
- Lubrication Regime (orkgp:P110056)
- time to failure (orkgp:P110057)
- loading cycles until failure (orkgp:P110058)
- investigated relation (orkgp:P110060)
- related concept (orkgp:P110061)
- count of corpora's sentense (orkgp:P110062)
- Translation error rate (%) (orkgp:P110065)
- source (orkgp:P110066)
- has subquality type (orkgp:P110067)
- ontology editor (orkgp:P110068)
- required input (orkgp:P110069)
- optional input (orkgp:P110070)
- is automatic (orkgp:P110071)
- number of standard FAIR assessments (orkgp:P110072)
- standard FAIR assessments (orkgp:P110073)
- custom FAIR assessments possible (orkgp:P110074)
- has application object (orkgp:P110075)
- maximum number of parameters (in million) (orkgp:P110076)
- Electric Vehicle Penetration Rate(%) (orkgp:P110077)
- electricity demand/consumption (GWh) (orkgp:P110079)
- has Proof (orkgp:P110080)
- has implementation (orkgp:P110081)
- Student`s condition (orkgp:P110082)
- Hand-tailored ICT (orkgp:P110083)
- Offline use (orkgp:P110084)
- Immersive technology (orkgp:P110085)
- Time per session with ICT (orkgp:P110086)
- Mentor presence (orkgp:P110087)
- Skills development (orkgp:P110088)
- Interview type (orkgp:P110090)
- Data management (analysis) system (orkgp:P110091)
- Statistical method (orkgp:P110092)
- Ontology Language (orkgp:P110093)
- Sample (orkgp:P110094)
- Location of sample (orkgp:P110095)
- Taxonomic affiliation of isolated strain (orkgp:P110096)
- Arsenite oxidation couple to (orkgp:P110097)
- Strain name (orkgp:P110098)
- Culture conditions (orkgp:P110099)
- genomic or gene analysis results (orkgp:P110101)
- pointAnomaly (orkgp:P110103)
- sequenceAnomaly (orkgp:P110104)
- Missing rate (%) (orkgp:P110105)
- sequence anomaly AUC-ROC (orkgp:P110108)
- point anomaly AUC-ROC (orkgp:P110109)
- amount of explained triples (orkgp:P110110)
- amount of triples taken into account (orkgp:P110111)
- main techniques used (orkgp:P110112)
- reuse of other ontologies (orkgp:P110113)
- domain of application (orkgp:P110114)
- supported by tool (orkgp:P110115)
- Electrical Current Applied? (orkgp:P110116)
- Hertzian contact pressure [MPa] (orkgp:P110117)
- WEC-critical lubricants used? (orkgp:P110118)
- Failure occurred? (orkgp:P110119)
- investigated_quality (orkgp:P110120)
- measurement (orkgp:P110121)
- year of measurement (orkgp:P110122)
- measurement value (orkgp:P110123)
- unit (orkgp:P110124)
- relative difference to 1990 (orkgp:P110125)
- task type (orkgp:P110126)
- target value (orkgp:P110127)
- raw data (orkgp:P110128)
- statement (orkgp:P111000)
- trend (orkgp:P111001)
- relative difference (orkgp:P111002)
- decrease (orkgp:P111004)
- current year (orkgp:P111009)
- comparison year (orkgp:P111010)
- current value (orkgp:P111011)
- question (orkgp:P111012)
- answer (orkgp:P111013)
- comparsion operator (orkgp:P111014)
- trained parameter (orkgp:P112000)
- human-readable data (orkgp:P112004)
- machine-readable data (orkgp:P112005)
- compliance test (orkgp:P112006)
- Available Ontology Language Formats (orkgp:P112007)
- Validation Method (orkgp:P112008)
- composition (orkgp:P112009)
- composition reference (orkgp:P112010)
- anode (orkgp:P112011)
- cathode (orkgp:P112012)
- battery separator (orkgp:P112013)
- nominal capacity (orkgp:P112014)
- electrochemical cell (orkgp:P112015)
- electric current (orkgp:P112016)
- charge capacity (orkgp:P112017)
- charge efficiency (orkgp:P112018)
- mass loading (orkgp:P112019)
- data source (orkgp:P112020)
- tool type (orkgp:P112021)
- type of input (orkgp:P112027)
- type of output (orkgp:P112029)
- improvement suggestion (orkgp:P112030)
- has rendered model (orkgp:P112031)
- incentive system (orkgp:P112032)
- blockchain type (orkgp:P112033)
- project state (orkgp:P112034)
- approximated estimate (orkgp:P112035)
- sector (orkgp:P112036)
- power (orkgp:P112037)
- Sub-category (orkgp:P113000)
- cites repository (orkgp:P114000)
- Knowledge exchange (orkgp:P114002)
- Information exchange (orkgp:P114003)
- current collector (orkgp:P114004)
- ecological study system (orkgp:P115000)
- ecological organizational scale (orkgp:P115002)
- spatial grain (orkgp:P115003)
- spatial replication (orkgp:P115004)
- has spatial replication (orkgp:P115005)
- observation unit (orkgp:P115007)
- observation unit (orkgp:P115008)
- GC-Content (orkgp:P115009)
- Bacteria (orkgp:P115010)
- GC-Content (orkgp:P115011)
- GC-Content (orkgp:P115012)
- GC-Content (orkgp:P115013)
- GC-Content (orkgp:P115014)
- energy consumption type (orkgp:P115015)
- below linear trajectory (orkgp:P115016)
- above linear trajectory (orkgp:P115017)
- fine-tuning task (orkgp:P116000)
- GC-Content (orkgp:P116001)
- main outcome measures (orkgp:P116003)
- intervention duration (orkgp:P116004)
- linear indicative trajectory (orkgp:P116005)
- supports hypothesis (orkgp:P116006)
- geographical extent (orkgp:P116007)
- invader taxon (orkgp:P116008)
- has ecological study design (orkgp:P116009)
- evaluation setting (orkgp:P116029)
- slide-to-roll-ratio (orkgp:P117000)
- has output statement (orkgp:P117001)
- has output figure (orkgp:P117002)
- has lmm fitting (orkgp:P117003)
- has response variable (orkgp:P117004)
- has object of interest (orkgp:P117005)
- has matrix (orkgp:P117006)
- is constrained by (orkgp:P117007)
- investigation area (orkgp:P117009)
- travel behavior (orkgp:P117010)
- attitude towards car use (orkgp:P117013)
- attitude towards walking (orkgp:P117014)
- residential location (orkgp:P117017)
- more positive (orkgp:P117019)
- compared to (orkgp:P117020)
- young adults (orkgp:P117021)
- compared to older adults (orkgp:P117022)
- has fixed effect term I (orkgp:P117023)
- Type of questionnaire (orkgp:P117025)
- Survey administration (orkgp:P117026)
- L2 (orkgp:P117027)
- Tasks to achieve the goal (orkgp:P117028)
- Text collection type (orkgp:P117029)
- Student degree (orkgp:P117031)
- Corpus tailored (orkgp:P117034)
- Corpus manager (orkgp:P117036)
- Linguistic phenomena (orkgp:P117038)
- more likely (orkgp:P117040)
- comapred to (orkgp:P117041)
- less likely (orkgp:P117043)
- data transformation (orkgp:P117044)
- data scaling (orkgp:P117045)
- input shape (orkgp:P117046)
- output shape (orkgp:P117047)
- modeling specifics (orkgp:P117048)
- travel mode frequency (orkgp:P117050)
- Material (orkgp:P117052)
- Process (orkgp:P117053)
- corpus origin (orkgp:P117054)
- corpus tiers (orkgp:P117055)
- explanation (orkgp:P117056)
- sign language (orkgp:P117057)
- Project title (orkgp:P117058)
- Signers involved (orkgp:P117059)
- signer`s requirements (orkgp:P117060)
- Corpus Cardinality (orkgp:P117061)
- hours of video (orkgp:P117062)
- Number of signs and phrases (orkgp:P117065)
- Number of running words (orkgp:P117066)
- Number of signs (orkgp:P117067)
- Number of singletons (orkgp:P117068)
- captured with cameras, number (orkgp:P117069)
- Annotation software (orkgp:P117070)
- Transcription system (orkgp:P117072)
- number of videos (orkgp:P117073)
- str1 (orkgp:P117074)
- Category type (orkgp:P117076)
- primary task (orkgp:P117077)
- acquisition type (orkgp:P117078)
- Themes (orkgp:P117079)
- Bacterium (orkgp:P117080)
- submitted papers (orkgp:P117081)
- accepted papers (orkgp:P117082)
- acceptance rate (orkgp:P117083)
- hasExtendedVersion (orkgp:P117084)
- types of change (orkgp:P117085)
- change in species due to climate change (orkgp:P117086)
- allows for attribution to climate change (orkgp:P117087)
- Data gathering procedure (orkgp:P117088)
- has medical condition (orkgp:P117091)
- dependency on age (orkgp:P118000)
- has maximum at (orkgp:P118001)
- dependency on age (orkgp:P118002)
- declining with age (orkgp:P118003)
- millenials (orkgp:P118004)
- shift (orkgp:P118007)
- decline (orkgp:P118008)
- living conditions (orkgp:P118009)
- has evaluation tool (orkgp:P118014)
- has input parameters (orkgp:P118015)
- has implementation approach (orkgp:P118017)
- Contributes to communication how (orkgp:P118018)
- Data Access Layer (orkgp:P118019)
- Defined Challenges (orkgp:P118020)
- Degree of impairment (orkgp:P118021)
- research participants (orkgp:P118023)
- Interface layer (orkgp:P118024)
- Logic Layer (orkgp:P118025)
- has control parameters (orkgp:P118026)
- Performance criteria (orkgp:P118027)
- contibution objective (orkgp:P118028)
- Sense (orkgp:P118029)
- source of AIS data (orkgp:P118030)
- used software (orkgp:P118031)
- research problem description (orkgp:P118032)
- methods (orkgp:P118033)
- research results (orkgp:P118034)
- reccomendations for the future results (orkgp:P118035)
- has languages (orkgp:P118037)
- adopted language (orkgp:P118038)
- Experiment phases (orkgp:P118039)
- categorized in (orkgp:P118040)
- type of persistent identification (orkgp:P118042)
- Type of intervention (orkgp:P118045)
- Duration of Programme (orkgp:P118046)
- Indicators for monitoring (orkgp:P118047)
- residential location choice (orkgp:P118048)
- prefer (orkgp:P118049)
- no preference (orkgp:P118050)
- limited differences (orkgp:P118051)
- has problem domain (orkgp:P118052)
- type of study design (orkgp:P118054)
- evaluation dataset (orkgp:P118055)
- Participant: deaf person (orkgp:P118056)
- Participant: hard-of-hearing persons (orkgp:P118057)
- Participant: normal hearing person (orkgp:P118058)
- Participant: deaf-mute person (orkgp:P118059)
- Participant: carer of hearing-impaired children (orkgp:P118060)
- Participant: signer with different hand size (orkgp:P118061)
- Participant: family with a impaired children (orkgp:P118062)
- Participant: Normal hearing individuals with wind-voiced earphones (orkgp:P118063)
- Participant: kindergarten-preschool children with hidden hearing status (orkgp:P118064)
- ship database (orkgp:P118065)
- types (orkgp:P118066)
- contribution objective (orkgp:P118067)
- school subject (orkgp:P118068)
- Activities type (orkgp:P118069)
- asynchronous learning content (orkgp:P118071)
- Educational level (orkgp:P118072)
- Educational strategy (orkgp:P118073)
- ICT content (orkgp:P118074)
- ICT services (orkgp:P118075)
- Needs an internet access (orkgp:P118076)
- Allows personalization (orkgp:P118077)
- Being taught (orkgp:P118078)
- Participant: child with hearing implants (orkgp:P118079)
- Participat: student (orkgp:P118080)
- Participant: teacher (orkgp:P118081)
- Participant: schoolchild (orkgp:P118082)
- category of participant (orkgp:P118083)
- type of persistent identifiers (orkgp:P118084)
- has fixed effect term II (orkgp:P118085)
- has random effect term (orkgp:P118086)
- qudt:numericValue (orkgp:P118087)
- qudt:unit (orkgp:P118088)
- country of research origin (orkgp:P119000)
- Training title (orkgp:P119001)
- training title abbreviation (orkgp:P119002)
- students with special needs (orkgp:P119003)
- Training topics (orkgp:P119004)
- In-training activities (orkgp:P119005)
- Training activities period (orkgp:P119006)
- Training completion criteria (orkgp:P119007)
- Training place (orkgp:P119008)
- Year of the training start (orkgp:P119009)
- Training in-person (orkgp:P119010)
- Participant: Community Learning Disability Team (CLDT) member (orkgp:P119011)
- Participant: Daycare educator (orkgp:P119012)
- Participant: family caregiver (orkgp:P119013)
- Participant: General education art teacher (orkgp:P119014)
- Participant: General education math teacher (orkgp:P119015)
- Participant: Generalist teacher (orkgp:P119016)
- Participant: Paraprofessional (orkgp:P119017)
- Participant: psychiatrist (orkgp:P119018)
- Participant: service manager (orkgp:P119019)
- Participant: Special education teacher (orkgp:P119020)
- Participant: Special education technician (orkgp:P119021)
- Participant: Specialist teacher (orkgp:P119022)
- Participant: Staff of residence with special services (orkgp:P119023)
- Participant: support staff (orkgp:P119024)
- Participant: trainer (orkgp:P119025)
- Participant: Work with children with autism and/or developmental delay (orkgp:P119026)
- occlussion level (orkgp:P119027)
- Main findings (orkgp:P119028)
- R601396 (orkgp:P119046)
- R601398 (orkgp:P119047)
- R601400 (orkgp:P119048)
- R601402 (orkgp:P119049)
- R601404 (orkgp:P119050)
- R601406 (orkgp:P119051)
- R601408 (orkgp:P119052)
- R601410 (orkgp:P119053)
- R601412 (orkgp:P119054)
- R601414 (orkgp:P119055)
- R601416 (orkgp:P119056)
- R601418 (orkgp:P119057)
- R601420 (orkgp:P119058)
- R601422 (orkgp:P119059)
- R601424 (orkgp:P119060)
- R601426 (orkgp:P119061)
- R601428 (orkgp:P119062)
- ICT measurement (orkgp:P119063)
- ICT elasticity (orkgp:P119064)
- learning environment (orkgp:P119065)
- Educational model (orkgp:P119066)
- education stage (orkgp:P119067)
- educational group (orkgp:P119068)
- PhD program (orkgp:P119069)
- Education course (orkgp:P119070)
- documentary support (orkgp:P119071)
- participant: student (orkgp:P119072)
- Participant: administrative staff (orkgp:P119073)
- Education mode (orkgp:P119074)
- has linked images (orkgp:P119076)
- has result-precison (orkgp:P119077)
- has result-recall (orkgp:P119078)
- has result-accuracy (orkgp:P119079)
- has result-others (orkgp:P119080)
- similarity metric (orkgp:P119081)
- temporal replication (orkgp:P119083)
- has baselines (orkgp:P119084)
- dependent variable (orkgp:P119085)
- highest achieved coefficient of determination on verification or testing part (orkgp:P119086)
- has evaluation result-accuracy (orkgp:P119092)
- has evaluation result-f1 score (orkgp:P119096)
- has evaluation result-recall (orkgp:P119097)
- `has evaluation result-precision (orkgp:P119098)
- forecast lead time (orkgp:P119099)
- historical dataset length (orkgp:P119100)
- number of parts in dataset split (orkgp:P119101)
- ratio of parts in dataset split (orkgp:P119102)
- endogenous predictors (orkgp:P119103)
- exogenous predictors (orkgp:P119104)
- missing data handling (orkgp:P119105)
- has evaluation result others (orkgp:P119106)
- Participant: country (orkgp:P119109)
- Participant: University (orkgp:P119110)
- Participant: others (orkgp:P119111)
- Project aim (orkgp:P119112)
- in-project activities (orkgp:P119113)
- Project language (orkgp:P119114)
- short-term objectives (orkgp:P119115)
- long-term objectives (orkgp:P119116)
- project outcomes (orkgp:P119117)
- International program (orkgp:P119120)
- beneficiar (orkgp:P119121)
- Indirect beneficiar (orkgp:P119122)
- project URL (orkgp:P119124)
- Educational project (orkgp:P119125)
- International project (orkgp:P119126)
- Project duration (orkgp:P119127)
- Expence items (orkgp:P119128)
- classes (orkgp:P119129)
- Main conclusion (orkgp:P119130)
- fraction (orkgp:P119131)
- Pretraining compute [PetaFLOPs-days] (orkgp:P119133)
- Sampling proportion (orkgp:P119134)
- Disk size (orkgp:P119135)
- hardware description (orkgp:P119137)
- hardware used (orkgp:P119138)
- Total power consumption (orkgp:P119140)
- carbon emitted (tCO2eq) (orkgp:P119142)
- replication package (orkgp:P119143)
- Finetuning corpus (orkgp:P119144)
- use MARC field (orkgp:P119145)
- string normalization (orkgp:P119146)
- evalutation dataset (orkgp:P119148)
- Abstraction (orkgp:P119149)
- visual features (orkgp:P119150)
- Location:Country_Code (orkgp:P119151)
- Location:Study_Area (orkgp:P119152)
- Location:Location (orkgp:P119153)
- Study_startdate (orkgp:P119154)
- Study_enddate (orkgp:P119155)
- Country Code (orkgp:P119156)
- Location Name (orkgp:P119157)
- Study start date (orkgp:P119158)
- Study end date (orkgp:P119159)
- Social project (orkgp:P119160)
- Field Design (orkgp:P119162)
- Soil texture (orkgp:P119163)
- Soil pH (orkgp:P119164)
- Intervention tested (orkgp:P119165)
- Management system (orkgp:P119166)
- Utilised pulse crop (orkgp:P119167)
- Pulse: cultivar name (orkgp:P119168)
- Pulse: sowing month (orkgp:P119169)
- Pulse: Sowing between row space (cm) (orkgp:P119170)
- Pulse: Sowing within row space (cm) (orkgp:P119171)
- Pulse: Tillage regime (orkgp:P119172)
- Pulse: Maximum tillage depth (cm) (orkgp:P119173)
- Pulse: Fertilisation regime (orkgp:P119174)
- Pulse: N-addition (kg/ha) (orkgp:P119175)
- Pulse: Pesticide application (orkgp:P119176)
- Pulse: Weed management (orkgp:P119177)
- Comparator (orkgp:P119178)
- Biodiversity: Survey Method (orkgp:P119179)
- Biodiversity: Effect dimension (orkgp:P119180)
- Biodiversity: Taxon surveyed (orkgp:P119181)
- Biodiversity: Unit (orkgp:P119182)
- Biodiversity: Intervention (Xi) number (orkgp:P119183)
- Biodiversity: Comparator (Xc) number (orkgp:P119184)
- ln(Xi) (orkgp:P119185)
- ln(Xc) (orkgp:P119186)
- lnR (orkgp:P119187)
- Crop rotation (orkgp:P119188)
- Pulse: sowing density unit (orkgp:P119189)
- Pulse: sowing density (orkgp:P119190)
- Cover crop (orkgp:P119191)
- Pulse: Sowing between row space (cm) (orkgp:P119192)
- Yield: Survey Method (orkgp:P119193)
- Yield: Effect dimension (orkgp:P119194)
- Yield: Unit (orkgp:P119195)
- Yield: Intervention (Xi) number (orkgp:P119196)
- Yield: Comparator (Xc) number (orkgp:P119197)
- Intercrops (orkgp:P119198)
- descriprion (orkgp:P119199)
- Pulse: Sowing between row space (cm) (orkgp:P119200)
- Pulse: Sowing between row space (cm) (orkgp:P119201)
- Soil quality: Survey Method (orkgp:P119202)
- Soil quality: Soil sample depth (max. cm) (orkgp:P119203)
- Soil quality: Effect dimension (orkgp:P119204)
- Soil quality category (orkgp:P119205)
- Soil quality grouped indicator (orkgp:P119206)
- Soil quality exact indicator (orkgp:P119207)
- Soil quality: Unit (orkgp:P119208)
- Soil quality: Intervention (Xi) number (orkgp:P119209)
- Pulse: Sowing between row space (cm) (orkgp:P119210)
- Pulse: Sowing between row space (cm) (orkgp:P119211)
- Pulse: Sowing between row space (cm) (orkgp:P119212)
- Field of knowledge (orkgp:P119213)
- number of NVD descriptions (orkgp:P119214)
- orkgSubmitter (orkgp:P119215)
- BERT fixed in training (orkgp:P119216)
- continual knowledge infusion (orkgp:P119217)
- has evaluation result (orkgp:P119218)
- fusion level (orkgp:P119222)
- model size (orkgp:P119223)
- Authors: Country (orkgp:P119224)
- Oldest reference (orkgp:P119225)
- Newest reference (orkgp:P119226)
- contribution aim (orkgp:P119227)
- Software developed (orkgp:P119228)
- Contribution goal (orkgp:P119229)
- Computational method used (orkgp:P119230)
- Method developed (orkgp:P119231)
- Prospects of future research (orkgp:P119232)
- Neural network developed (orkgp:P119233)
- Neural network type (orkgp:P119234)
- research application (orkgp:P119235)
- Evaluation metics (orkgp:P119236)
- curated problems (orkgp:P119237)
- Using Negative Acts Questionnaire-Revised (NAQ-R) (orkgp:P119239)
- solution (orkgp:P12)
- training time, s (orkgp:P120001)
- R-Square (orkgp:P120002)
- Pearson Correlation Coefficient PCC (orkgp:P120003)
- Average Margin of Error - AME (orkgp:P120004)
- temporal resolution of observations (orkgp:P120005)
- extreme values choice (orkgp:P120006)
- temporal downscaling (orkgp:P120007)
- probability distribution (orkgp:P120008)
- model calibration (orkgp:P120009)
- intensity duration frequency formula (orkgp:P120010)
- primary processing of rainfall data (orkgp:P120011)
- maximum series contruction (orkgp:P120012)
- assumption of time series behaviour (orkgp:P120013)
- Cites (orkgp:P121000)
- CitesURL (orkgp:P121001)
- GSRank (orkgp:P121002)
- QueryDate (orkgp:P121003)
- CitationURL (orkgp:P121004)
- StartPage (orkgp:P121005)
- EndPage (orkgp:P121006)
- ECC (orkgp:P121007)
- CitesPerYear (orkgp:P121008)
- CitesPerAuthor (orkgp:P121009)
- AuthorCount (orkgp:P121010)
- spatial downscaling (orkgp:P121011)
- Soil quality Parameter (orkgp:P121012)
- uncertainty estimation (orkgp:P121013)
- recorded AIS data (orkgp:P121014)
- recorded trajectories (orkgp:P121015)
- processed AIS data (orkgp:P121016)
- processed trajectories (orkgp:P121017)
- number of ships (orkgp:P121018)
- ship type (orkgp:P121019)
- Electric Field (kV/mm) (orkgp:P121020)
- Conference name (orkgp:P122000)
- Conference date (orkgp:P122001)
- Conference code (orkgp:P122002)
- Funding Text 1 (orkgp:P122003)
- Funding Details (orkgp:P122004)
- Author full names (orkgp:P122005)
- evaluation criteria (orkgp:P122006)
- evaluation aspect (orkgp:P122007)
- Total Students (orkgp:P122008)
- conducted exams (orkgp:P122009)
- Used LLMs (orkgp:P122010)
- Precision/recall/balanced (orkgp:P122011)
- covered languages (orkgp:P123000)
- language type (orkgp:P123001)
- evaluated task (orkgp:P123002)
- NLP Tasks for evaluation (orkgp:P123003)
- benchmarked datasets (orkgp:P123004)
- Selected Problems (orkgp:P123006)
- problem topics (orkgp:P123007)
- designed prototype for evaluation (orkgp:P123009)
- catchment area (orkgp:P123011)
- design storm (orkgp:P123012)
- duration of design storm (orkgp:P123013)
- return period (orkgp:P123014)
- calibrated parameters (orkgp:P123015)
- LID practices (orkgp:P123016)
- most efficient LID practices (orkgp:P123017)
- return period of storm (orkgp:P123018)
- reduction of peak runoff (orkgp:P123019)
- reduction of runoff volume (orkgp:P123020)
- observed rainfall event (orkgp:P123021)
- creation of IDF curves from historical data (orkgp:P123022)
- creation of IDF curves from climate model output (orkgp:P123023)
- model calibration on observed rainfall event (orkgp:P123024)
- model verification on observed rainfall event (orkgp:P123025)
- multivariate frequency analysis (orkgp:P123026)
- camera pose (orkgp:P123027)
- segmentation (orkgp:P123028)
- trajectories (orkgp:P123029)
- dashboard developer country (orkgp:P123030)
- source of data (orkgp:P123031)
- level of data granularity (orkgp:P123032)
- main indicators of COVID-19 (orkgp:P123033)
- ancillary indicators of COVID-19 (other) (orkgp:P123034)
- data sources (orkgp:P123036)
- Research Object (orkgp:P123038)
- primary area (orkgp:P123039)
- benchmark name (orkgp:P123040)
- data samples (orkgp:P123041)
- reasoning abilities (orkgp:P123043)
- reasoning abilities (L2) (orkgp:P123044)
- training method (orkgp:P123046)
- total ability task (orkgp:P123047)
- Output data type (orkgp:P123048)
- additional information (orkgp:P123049)
- Open question (orkgp:P123050)
- future direction (orkgp:P123051)
- tool useses AI (orkgp:P124000)
- evaluation uses AI (orkgp:P124001)
- System Usability Score (orkgp:P124002)
- ethical risks (orkgp:P124003)
- paper eligibility criteria (orkgp:P125000)
- paper exclusion criteria (orkgp:P125001)
- article type (orkgp:P126002)
- Authors` Keywords (orkgp:P126003)
- managing (orkgp:P126004)
- application used (orkgp:P126005)
- educational subject (orkgp:P126006)
- educational specialty (orkgp:P126007)
- beneficiary (orkgp:P126008)
- concerns distance education (y/n) (orkgp:P126009)
- Research outcome (orkgp:P126010)
- type of research outcome (orkgp:P126011)
- number of languages (orkgp:P126012)
- has hypothesis test (invasion biology) (orkgp:P126013)
- is conclusive (orkgp:P126014)
- considers socio-political factor (orkgp:P126015)
- has sector (orkgp:P126016)
- has socio-policital factor type (orkgp:P126017)
- has representation type (orkgp:P126018)
- has tagged value (orkgp:P127000)
- has tag (orkgp:P127001)
- Data Preprocessing (orkgp:P127002)
- Recall (%) (orkgp:P127003)
- Data Preparation (orkgp:P127004)
- AIS data (orkgp:P127005)
- trajectories points (orkgp:P127006)
- has current density J [A/mm²] (orkgp:P127007)
- type of the task (orkgp:P127008)
- number of ctiteria (orkgp:P127009)
- warehouse type (orkgp:P127010)
- container type (orkgp:P127011)
- Data model (orkgp:P127012)
- Data origin (orkgp:P127013)
- Modes of shipment (orkgp:P127015)
- Conrtibutio research actuality (orkgp:P127016)
- input data type - model output (orkgp:P128002)
- real-time prediction (orkgp:P128003)
- short term prediction (orkgp:P128004)
- mid term prediction (orkgp:P128005)
- long term prediction (orkgp:P128006)
- simultaneous usage of endogenous and exogenous predictors (orkgp:P128007)
- multioutput model and/or chain model (orkgp:P128008)
- absolute performance metrics - mean absolute error and/or root mean square error (orkgp:P128009)
- relative performance metrics - coefficient of determination and/or Nash-Sutcliffe efficiency (orkgp:P128010)
- comparison of model and observations (orkgp:P128011)
- model vs. observations (orkgp:P128012)
- high tide events (orkgp:P128013)
- input and/or output data type - observation stations (orkgp:P128014)
- high water events (orkgp:P128015)
- is considered in (orkgp:P128017)
- belongs to (orkgp:P128018)
- Deep Learning Model (orkgp:P129000)
- Knowledge Graph Creation Approach (orkgp:P129001)
- Knowledge Graph Completion (orkgp:P129002)
- Results/ Benefits (orkgp:P129003)
- created_web_Application (orkgp:P129004)
- Knowledge Graph creation tool (orkgp:P129005)
- has invasion biology research questions (orkgp:P129006)
- research_area (orkgp:P129007)
- graph_creation_method (orkgp:P129008)
- disease severity (orkgp:P129009)
- cell concentration (orkgp:P129010)
- species (orkgp:P129011)
- organ (orkgp:P129012)
- cell marker (orkgp:P129013)
- results of patient groups (orkgp:P129014)
- in-vivo (orkgp:P129017)
- available data (orkgp:P129021)
- uses_ontolology (orkgp:P129022)
- syntactic_module (orkgp:P129023)
- Levenshtein similarity (orkgp:P129024)
- word_embeddings (orkgp:P129025)
- semantic_module (orkgp:P129026)
- post-processing (orkgp:P129027)
- Country/Region (orkgp:P129028)
- object of virtualiztion (orkgp:P129030)
- type of object virtualized (orkgp:P129032)
- technology used (orkgp:P129033)
- application technology (orkgp:P129034)
- devices to be used (orkgp:P129035)
- is a building? (orkgp:P129036)
- Object`s cration time/period (orkgp:P129037)
- cause of damage (changes) (orkgp:P129038)
- modelling approach (orkgp:P129039)
- Historical edidences (orkgp:P129040)
- native species (orkgp:P129044)
- methodological context (orkgp:P129046)
- object title (orkgp:P129047)
- type of the pbject (orkgp:P129048)
- object is a part of (orkgp:P129049)
- period of object`s origin (orkgp:P129050)
- historic photo (orkgp:P129051)
- Historic map (orkgp:P129052)
- Historic flight photos (orkgp:P129053)
- historical engineering drawings (orkgp:P129054)
- historical steel catalogues (orkgp:P129055)
- historical technical reports (orkgp:P129057)
- historical plan (orkgp:P129058)
- historical letters (orkgp:P129059)
- diary (orkgp:P129060)
- historical drawing (orkgp:P129061)
- painting (orkgp:P129062)
- historical engraving (orkgp:P129063)
- historical land records (orkgp:P129064)
- information modelling methodology (orkgp:P129065)
- cause of destoyed (orkgp:P129066)
- period of damage (orkgp:P129067)
- obect exists in any condition (orkgp:P129068)
- use case (orkgp:P13)
- released on (orkgp:P130000)
- recognition type (orkgp:P130001)
- ensemble technique (orkgp:P130002)
- peak streamflows (orkgp:P130003)
- higher education institution country (orkgp:P130004)
- Number of objects examined (orkgp:P130005)
- type of object (orkgp:P130006)
- accessibility evaluation tool (orkgp:P130007)
- objetives (orkgp:P130008)
- rules violation checked (y/n) (orkgp:P130009)
- success criteria (orkgp:P130010)
- top-three violations (orkgp:P130011)
- Web Content Accessibility Guidelines Version (orkgp:P130012)
- Level (A / AA / AAA) (orkgp:P130013)
- key feature (orkgp:P130014)
- evaluated models on proposed benchmark (orkgp:P130015)
- clustering visualization (orkgp:P130016)
- Adjusted random index (ARI) (orkgp:P130017)
- Fowlkes–Mallows index (FMI) (orkgp:P130018)
- website type (orkgp:P130019)
- top mistakes (orkgp:P130020)
- research period (orkgp:P130021)
- paired supervisor and phd students (orkgp:P130022)
- workstations (orkgp:P130024)
- Twitter (orkgp:P130025)
- has number of modules (orkgp:P130026)
- Ontology Evaluation (orkgp:P130027)
- Domain specific task (orkgp:P130028)
- specific domain (orkgp:P130029)
- Infection Rate (orkgp:P130030)
- Data Exfiltration (orkgp:P130031)
- Resistance (orkgp:P130032)
- Detection Avoidance (orkgp:P130033)
- Attack Vector Flexibility (orkgp:P130034)
- Hack Tool (orkgp:P130035)
- major elements (orkgp:P130036)
- Layer Perspective (orkgp:P130037)
- focuses on (orkgp:P130038)
- managed by (orkgp:P130039)
- development phases (orkgp:P130040)
- neurodevelopmental features (orkgp:P130041)
- Missing time period (orkgp:P130042)
- anomaly detection (orkgp:P130043)
- Total benchmarks (orkgp:P130044)
- GNN Type (orkgp:P130045)
- LLM Type (orkgp:P130046)
- prompting (orkgp:P130047)
- related domain (orkgp:P130048)
- level of task (orkgp:P130049)
- type of enhancement (orkgp:P130050)
- Evaluation Datasets (orkgp:P130051)
- research direction (orkgp:P131000)
- covered approaches (orkgp:P131001)
- key techniques (orkgp:P131002)
- Used Graph (orkgp:P132000)
- pressure (orkgp:P132001)
- pressure unit (orkgp:P132002)
- Class entropy (orkgp:P132003)
- mean noise to signal ratio (orkgp:P132008)
- mutal information (orkgp:P132010)
- Literature Review (orkgp:P132018)
- Item type (orkgp:P132024)
- URLs (orkgp:P132025)
- PMID (orkgp:P132026)
- subtask (orkgp:P132027)
- Insight 1 (orkgp:P132029)
- Best_practices (orkgp:P133002)
- Advanced_strategies (orkgp:P133003)
- farming stage (orkgp:P134001)
- activities/factors (orkgp:P134002)
- activities or factors (orkgp:P134003)
- preharvesting parameter (orkgp:P134004)
- important features (orkgp:P134005)
- classification classes defined for the features (orkgp:P134006)
- dataset used (public or own) (orkgp:P134007)
- total numbers of images used for training (orkgp:P134008)
- best model or method or algorithm (orkgp:P134009)
- model evaluation technique (orkgp:P134010)
- disease name (orkgp:P134011)
- focal length [mm] (orkgp:P135001)
- focal length during strain [mm] (orkgp:P135002)
- relative focal length change (%) (orkgp:P135003)
- characteristics of communication (orkgp:P135004)
- requirements for communication (orkgp:P135005)
- use case class (orkgp:P135006)
- considers failures in power grid (orkgp:P135007)
- type of algorithm / methodology (orkgp:P135008)
- geographical area (orkgp:P135009)
- number of communication participants (orkgp:P135010)
- frameworks (orkgp:P135011)
- performance indicators power grid (orkgp:P135012)
- objective for considering communication (orkgp:P135013)
- communication modelling approach (orkgp:P135014)
- description communication modelling approach (orkgp:P135015)
- uses external framework (orkgp:P135016)
- considers state of communication network (orkgp:P135017)
- considers stochastical elements (orkgp:P135018)
- performance indicators communication (orkgp:P135019)
- communication technologies (orkgp:P135020)
- considers communication failures (orkgp:P135021)
- overlay topology (orkgp:P135022)
- Dependencies between communication and energy systems (orkgp:P135023)
- description of the use case (orkgp:P135024)
- communication properties (orkgp:P135025)
- communication requirements (orkgp:P135026)
- type of algorithm/methodology (orkgp:P135027)
- organizational structure (orkgp:P135028)
- considers communication network state (orkgp:P135029)
- considers stochastic elements (orkgp:P135030)
- communication topologies (orkgp:P135031)
- communication failures (orkgp:P135032)
- wind speed data (orkgp:P135034)
- close match (orkgp:P135042)
- has latent variables (orkgp:P135043)
- has regressions (orkgp:P135044)
- has variances and covariances (orkgp:P135045)
- venue serie (orkgp:P135046)
- allows graph view (orkgp:P135047)
- uses embeddings (orkgp:P135048)
- provides UI (orkgp:P135049)
- allows editing (orkgp:P135050)
- allows source attribution (orkgp:P135051)
- ontology based (orkgp:P135052)
- has lmm significance testing (orkgp:P135053)
- has anova (orkgp:P135054)
- has lmm prediction (orkgp:P135055)
- has linear regression (orkgp:P135056)
- area of expertise (orkgp:P135057)
- Property 1 (orkgp:P136000)
- Property 2 (orkgp:P136001)
- paper:provides_graph_view (orkgp:P136002)
- paper:allows_editing (orkgp:P136003)
- paper:external_ontology_support (orkgp:P136004)
- paper:provides_GUI (orkgp:P136005)
- paper:scientific_relation (orkgp:P136006)
- paper:uses_embeddings (orkgp:P136007)
- paper:provides_confidence_score (orkgp:P136008)
- paper:links_source_information (orkgp:P136009)
- Multiplatform (orkgp:P136010)
- Multiple user roles (orkgp:P136011)
- Multiple user support (orkgp:P136012)
- Project auditing (orkgp:P136013)
- Project progress (orkgp:P136014)
- Authentication (orkgp:P136015)
- Status of software (orkgp:P136016)
- Automated full-text retrieval (orkgp:P136017)
- Automated search (orkgp:P136018)
- Snowballing (orkgp:P136019)
- Manual reference importing (orkgp:P136020)
- Manually attaching full-text (orkgp:P136021)
- Manually inserting full-text (orkgp:P136022)
- Reference importing (orkgp:P136023)
- Deduplication (orkgp:P136024)
- Discrepancy resolving (orkgp:P136025)
- In-/excluding references (orkgp:P136026)
- Reference labelling & comments (orkgp:P136027)
- Screening phases (orkgp:P136028)
- Exporting results (orkgp:P136029)
- Flow diagram creation (orkgp:P136030)
- Living/updatable (orkgp:P136031)
- Free to use (orkgp:P136032)
- Systematic literature review stage (orkgp:P136033)
- Time since restoration (orkgp:P136035)
- monitoring duration (orkgp:P136036)
- main species (orkgp:P136037)
- environmental disturbance (orkgp:P136038)
- reason for restoration (orkgp:P136039)
- soil property (orkgp:P137000)
- dataset features (orkgp:P137001)
- machine learning objective (orkgp:P137002)
- machine learning algorithms/methods (orkgp:P137004)
- relevancy estimation (orkgp:P138000)
- based on human rating (orkgp:P138001)
- based on dataset (orkgp:P138002)
- based on paper (orkgp:P138003)
- water property (orkgp:P138004)
- animal specie (orkgp:P138005)
- crop name (orkgp:P138006)
- clicked (orkgp:P138007)
- read (orkgp:P138008)
- cited (orkgp:P138009)
- liked (orkgp:P138010)
- relevancy (orkgp:P138011)
- other user (orkgp:P138012)
- other automatic (orkgp:P138013)
- target value (orkgp:P138014)
- evaluation measures (orkgp:P138015)
- MRR (orkgp:P138016)
- candidate_facet (orkgp:P139001)
- direct_property (orkgp:P139002)
- indirect_property (orkgp:P139003)
- path_length (orkgp:P139004)
- Categorical Facets (orkgp:P139005)
- Quantitative Facets (orkgp:P139006)
- facet_types (orkgp:P139007)
- Candidate_facets (orkgp:P139008)
- Facet_selection (orkgp:P139009)
- Intra-Facet Metrics (orkgp:P139010)
- paper_link (orkgp:P139011)
- Inter-Facet Metrics (orkgp:P139012)
- facet extraction (orkgp:P139013)
- facet values extraction (orkgp:P139014)
- semantic similarity (orkgp:P139015)
- parameters for value cardinality scoring (orkgp:P139016)
- predicate probability (orkgp:P139017)
- description (orkgp:P14)
- Suggested action (orkgp:P140000)
- Selection of viewpoints (orkgp:P140001)
- Rotating field of view (orkgp:P140002)
- Optic Flow (orkgp:P140003)
- Velocity profile (orkgp:P140004)
- Scale of space (orkgp:P140005)
- Human activity (orkgp:P140006)
- Building's function (orkgp:P140007)
- Expending energy while moving (orkgp:P140008)
- ML/DL method (orkgp:P140013)
- Insight (orkgp:P140014)
- Insight on Carbon Dioxide (orkgp:P140015)
- insight on climate change and immobility (orkgp:P140016)
- Insight on extreme weather (orkgp:P140017)
- Insight on Food system transformation (orkgp:P140018)
- Insight on Health impact (orkgp:P140019)
- Insight on critical climate thresholds 1.5 degree (orkgp:P140020)
- SLR Task (orkgp:P140021)
- Human Interaction (orkgp:P140022)
- Text Representation (orkgp:P140023)
- Minimum Requirement (orkgp:P140024)
- Model Execution (orkgp:P140025)
- Pre-screening Support (orkgp:P140026)
- Post-Screening Support (orkgp:P140027)
- SLR stage (orkgp:P140029)
- R0 value (orkgp:P140030)
- CI-values (orkgp:P140031)
- investigated part (orkgp:P141000)
- Precursors or molecules used (orkgp:P141001)
- Range of substrate/deposition temperatures (orkgp:P141002)
- Growth Rate (orkgp:P141003)
- film thickness (orkgp:P141004)
- film density (orkgp:P141005)
- refractive index (orkgp:P141006)
- Electrical Properties (orkgp:P141007)
- Chemical Composition (orkgp:P141008)
- surface roughness (orkgp:P141010)
- Gas Permeability (orkgp:P141011)
- summary insight (orkgp:P142000)
- has heat treatment/coating (orkgp:P142001)
- has base oil (orkgp:P142002)
- has additive (orkgp:P142003)
- has viscosity (orkgp:P142004)
- rpm (orkgp:P142005)
- machine used (orkgp:P142006)
- IUCN realm (orkgp:P142008)
- IUCN biome (orkgp:P142009)
- IUCN EFG (orkgp:P142010)
- degradation type (orkgp:P142011)
- supports WEC initiation mechanism (orkgp:P142012)
- has morphological result (orkgp:P142013)
- has methodological result (orkgp:P142014)
- Symbolic Representation (orkgp:P142015)
- Human-in-Loop (orkgp:P142016)
- Trustworthiness (orkgp:P142017)
- Explainability (orkgp:P142018)
- Transparency (orkgp:P142019)
- local name (orkgp:P142020)
- food type (orkgp:P142021)
- food form (orkgp:P142022)
- scientific name (orkgp:P142023)
- common name (orkgp:P142024)
- importance (orkgp:P142025)
- food image (orkgp:P142026)
- context aware features (orkgp:P142028)
- popularity features (orkgp:P142029)
- yearly change (orkgp:P142035)
- site coordinates (orkgp:P142036)
- hasDataset (orkgp:P142037)
- country of sample (orkgp:P142038)
- definition of polarization (orkgp:P142040)
- secondary data source (orkgp:P142041)
- political topic assessed (orkgp:P142042)
- type of media (orkgp:P142043)
- summary of findings (orkgp:P142044)
- type of polarization assessed (orkgp:P142045)
- polarization measurement (orkgp:P142046)
- human sample type (orkgp:P142047)
- Computer-based format (orkgp:P142048)
- type of corpus research (orkgp:P142049)
- corpus volume (orkgp:P142050)
- corpus source (orkgp:P142051)
- Corpus elements type (orkgp:P142052)
- DL method (orkgp:P142055)
- used features (orkgp:P142058)
- bilingual corpora used (orkgp:P142060)
- Sign language translated (orkgp:P142061)
- Proposed Dataset (orkgp:P143000)
- Researsh problem (orkgp:P143001)
- recommendation (orkgp:P143002)
- Study species (orkgp:P143003)
- Species' climate (orkgp:P143004)
- study findings (orkgp:P143005)
- ethics considerations (orkgp:P143006)
- Latitude range (orkgp:P143007)
- no. of facets k (orkgp:P143008)
- average execution time (orkgp:P143009)
- user study questions (orkgp:P143010)
- Experiment queries (orkgp:P143011)
- user ratings (orkgp:P143012)
- facet selection and/or ranking (orkgp:P143013)
- keyword queries (orkgp:P143014)
- Veterans` needs (orkgp:P143015)
- How to help Veterans (orkgp:P143016)
- Women Veterans (orkgp:P143017)
- covid-19 audio related symptom (orkgp:P143018)
- TechQA dataset (orkgp:P143020)
- Baseline (Elastic Search) (orkgp:P143021)
- DFS (Dynamic facet search) Flat (orkgp:P143022)
- Dictionaries evaluated (orkgp:P143024)
- Dictionary (orkgp:P143025)
- Visual representation of the entries (orkgp:P143026)
- Entries type (orkgp:P143027)
- research methodology (orkgp:P143028)
- research findings (orkgp:P143029)
- research limitations (orkgp:P143030)
- Statistical analyses (orkgp:P143031)
- Number of sites (orkgp:P143033)
- Parameter estimation method (orkgp:P143034)
- Goodness of fit (orkgp:P143035)
- Benchmark Description (orkgp:P143036)
- Benchmark Methodology (orkgp:P143037)
- CAD Affliation Neutral (orkgp:P144000)
- CAD Identity Directed Hate (orkgp:P144001)
- CAD Affliation Directed Hate (orkgp:P144002)
- LTI Person Directed Neutral (orkgp:P144003)
- LTI Person Directed Hate (orkgp:P144004)
- Derogatory Slur (orkgp:P144005)
- Not Derogatory Slur (NDG) (orkgp:P144006)
- Homonym (HOM) (orkgp:P144007)
- Hateful (orkgp:P144008)
- Offensive (orkgp:P144009)
- Normal (orkgp:P144010)
- Undecided (orkgp:P144011)
- mAP (orkgp:P144012)
- schema (orkgp:P144015)
- question/answer pairs (orkgp:P144016)
- Survey questions (orkgp:P144017)
- Survey respondents (orkgp:P144018)
- Model name (orkgp:P144019)
- original_article (orkgp:P144026)
- orkg_paper (orkgp:P144027)
- reborn_production (orkgp:P144030)
- first_author (orkgp:P144031)
- published_in (orkgp:P144032)
- published_in (orkgp:P144033)
- original_research_finding (orkgp:P144034)
- orkg_template (orkgp:P144035)
- data_analysis_method (orkgp:P144036)
- json_data (orkgp:P144037)
- mentioned (orkgp:P145000)
- COVID-19 Target (orkgp:P145001)
- Potent In Drugs (orkgp:P145002)
- Constrain the relations with: (orkgp:P145003)
- strengths (orkgp:P145005)
- reborn_deposition (orkgp:P145006)
- data_repository (orkgp:P145007)
- uri (orkgp:P145009)
- uri_interlinking (orkgp:P145010)
- reborn_collection (orkgp:P145011)
- method name (orkgp:P145012)
- research topic (orkgp:P145013)
- paper title (orkgp:P145014)
- aim (orkgp:P145015)
- detection criteria classification (orkgp:P145021)
- WEC influence (orkgp:P145022)
- observed feature (orkgp:P145023)
- type of influence (orkgp:P145024)
- influenced feature (orkgp:P145025)
- WEC risk increases (orkgp:P145026)
- user responses (orkgp:P145027)
- overall agreement between survey users and system (orkgp:P145028)
- average result (orkgp:P145029)
- Fleiss Score (orkgp:P145030)
- Facets (orkgp:P145031)
- MAP_score (orkgp:P145032)
- F_score (orkgp:P145033)
- level of facet categories (max_l) (orkgp:P145034)
- maximum number of facet terms at the top-level, i.e. level 2 (orkgp:P145035)
- look-ahead parameter d of the top-down method (orkgp:P145036)
- R691895 (orkgp:P145039)
- estimated Model (in Latex) (orkgp:P145040)
- ICT Measure (orkgp:P145041)
- Elasticity (orkgp:P145042)
- Level of Aggregation (orkgp:P145043)
- N/Year (orkgp:P145044)
- Output Measure (orkgp:P145045)
- Robustness of Method (orkgp:P145046)
- GPT (General Purpose Technology) Approach (orkgp:P145047)
- GPT Conclusion (orkgp:P145048)
- Form of data (orkgp:P145049)
- TFP Growth Residual (orkgp:P145050)
- Price Deflator Used (orkgp:P145051)
- key new insights (orkgp:P145052)
- Output type (orkgp:P145054)
- Resource abstraction (orkgp:P145055)
- Workflow orchestration (orkgp:P145056)
- Data serialisation and storage (orkgp:P145057)
- Experimental provenance (orkgp:P145058)
- failed component (orkgp:P145059)
- Hydrogen (orkgp:P145060)
- hydrogen concentration (orkgp:P145061)
- key messages (orkgp:P145062)
- recommendations (orkgp:P145063)
- contribution:research_question (orkgp:P145064)
- contribution:base_model (orkgp:P145065)
- contribution:estimated_formular (orkgp:P145066)
- contribution:statistical_method_main (orkgp:P145067)
- contribution:model_1 (orkgp:P145068)
- contribution:estimated_formular_addition (orkgp:P145069)
- statistical_method_main (orkgp:P145070)
- Insights (orkgp:P145071)
- TL;DR (orkgp:P145072)
- invasive / non-invasive (orkgp:P145073)
- glucose sensors (orkgp:P145074)
- funtional ingredient (orkgp:P145075)
- electrospinning process (orkgp:P145076)
- detection method (orkgp:P145077)
- 01 - Research Question (orkgp:P146000)
- 05 - Observation Unit Level (orkgp:P146001)
- 06 - Model 1 (orkgp:P146002)
- 07- Model 2 (orkgp:P146003)
- 07 - Model 2 (orkgp:P146004)
- 08 - ICT Measurement (orkgp:P146005)
- 09 - Sample Size (orkgp:P146006)
- 10 - Data Source (orkgp:P146007)
- 11 - Data Structure (orkgp:P146008)
- 12 - Limitations (orkgp:P146009)
- 02 - Key Results (orkgp:P146010)
- 03 - Region (orkgp:P146011)
- 04 - Period (orkgp:P146012)
- measuring parameter (orkgp:P146013)
- power consumption (μW) (orkgp:P146015)
- operating tempreature range (°C) (orkgp:P146016)
- tolerance (orkgp:P146017)
- compiledBy (orkgp:P146018)
- LandingPage (orkgp:P146019)
- ArtefactType (orkgp:P146020)
- Marital Status (orkgp:P147000)
- LGA (orkgp:P147001)
- Clinic Stage (orkgp:P147002)
- TB status (orkgp:P147003)
- Pregnancy (orkgp:P147004)
- Breastfeeding (orkgp:P147005)
- Care Facility (orkgp:P147006)
- Appointment Date (orkgp:P147007)
- Baseline Weight (orkgp:P147008)
- metrics (orkgp:P147010)
- math format (orkgp:P147011)
- learning paradigm (orkgp:P147012)
- pre-training language model (orkgp:P147013)
- training data type (orkgp:P147014)
- backbone (orkgp:P147015)
- specific lubrication film thickness λ (orkgp:P147016)
- Naive (orkgp:P147017)
- Trained - Elo only (orkgp:P147018)
- Trained - All metrics (orkgp:P147019)
- Trained - All units (orkgp:P147020)
- methodology (orkgp:P147021)
- size of reference scenario (orkgp:P147022)
- disaster management circle step (orkgp:P147023)
- Research goal (orkgp:P147024)
- meta model (orkgp:P147025)
- (meta) model (orkgp:P147026)
- matrix (orkgp:P147027)
- filler (orkgp:P147028)
- weight percentage (orkgp:P147029)
- Young’s Modulus (GPa) (orkgp:P147030)
- Tensile strength (MPa) (orkgp:P147031)
- Fracture strain (%) (orkgp:P147032)
- duration (week) (orkgp:P147033)
- drug (orkgp:P147034)
- dose (mg) (orkgp:P147035)
- mean (SD) change in function (orkgp:P147037)
- mean baseline MMSE (orkgp:P147038)
- functional performance measure (orkgp:P147039)
- quality rating (orkgp:P147040)
- signing type (orkgp:P147042)
- S/B (single handed /both handed) (orkgp:P147043)
- classification methods (orkgp:P147044)
- features extracted (orkgp:P147045)
- recognition rate (%) (orkgp:P147047)
- sign vocabular (orkgp:P147048)
- # subjects test (orkgp:P147049)
- test area (orkgp:P147053)
- years of data (orkgp:P147054)
- type of approach (orkgp:P147055)
- Limitations / difficulties (orkgp:P147056)
- limit of detection (CFU mL−1) (orkgp:P147057)
- response time (orkgp:P147058)
- relationship data type (orkgp:P147060)
- number of CT scans (orkgp:P147061)
- ACC/AUC (orkgp:P147062)
- carbon budget (orkgp:P147063)
- emission reduction targets (orkgp:P147064)
- efforts (orkgp:P147065)
- energy role (orkgp:P147066)
- renewable energy growth (orkgp:P147067)
- predicted year of emmision reduction (orkgp:P147070)
- countries with increasing coal production (orkgp:P147074)
- system description (orkgp:P147075)
- llms used (orkgp:P147076)
- Edge detection and image enhancement techniques (orkgp:P147077)
- satellite (orkgp:P147078)
- astronomical image type (orkgp:P147079)
- astronomical image detection strategy (orkgp:P147080)
- astronomical image transformation methods (orkgp:P147081)
- microbiological detection techniques (orkgp:P147082)
- microbiological method type (orkgp:P147083)
- cumulative frictional energy (orkgp:P148000)
- extreme weather events (orkgp:P148001)
- extreme weather events on health (orkgp:P148002)
- threatens (orkgp:P148003)
- future projection (orkgp:P148004)
- future projections (orkgp:P148005)
- future predictions (orkgp:P148006)
- predicted in year (orkgp:P148007)
- policy recommendations (orkgp:P148009)
- temperature ranges for tipping elements (orkgp:P148011)
- temperature ranges for tipping points (orkgp:P148012)
- climate tipping element (orkgp:P148013)
- negative affects on places 1-3°C (orkgp:P148018)
- negative affects on places 3-5°C (orkgp:P148019)
- negative affects on places beyond 5°C (orkgp:P148021)
- sea level rise projection (orkgp:P148023)
- Meet Paris Agreement targets 1.5°C (orkgp:P148024)
- economic impact on low-income countries (orkgp:P148025)
- The Contribution of Information Technology to Consumer Welfare (orkgp:P148026)
- climate change effects (orkgp:P148027)
- pollution cost (orkgp:P148028)
- emission trend (orkgp:P148029)
- emission trend in vulnerable regions (orkgp:P148030)
- international support (orkgp:P148031)
- investment (orkgp:P148033)
- global GDP (orkgp:P148034)
- global coverage (orkgp:P148035)
- regional impact (orkgp:P148037)
- specific regions (orkgp:P148038)
- Economic and Social Implications (orkgp:P148039)
- environmental changes (orkgp:P148042)
- record high temperature (orkgp:P148043)
- rise vulnerability (orkgp:P148044)
- record-breaking statistic (orkgp:P148046)
- specific events (orkgp:P148047)
- impact on water (orkgp:P148048)
- climate risks (orkgp:P148049)
- social inequality (orkgp:P148050)
- governance actions (orkgp:P149000)
- key challenges (orkgp:P149001)
- specific points (orkgp:P149002)
- global warming reasons (orkgp:P149004)
- sea level rising projection (orkgp:P149005)
- future impact (orkgp:P149006)
- contributing elements (orkgp:P149007)
- geographical domain (orkgp:P149008)
- unprecedented acidification rates (orkgp:P149009)
- has format (orkgp:P149010)
- versionInfo (orkgp:P149012)
- versionInfo (orkgp:P149013)
- has support URL (orkgp:P149014)
- is implemented by (orkgp:P149015)
- uses software (orkgp:P149020)
- executes (orkgp:P149023)
- has format (orkgp:P149024)
- Study Description (orkgp:P149026)
- Percent of Man among participants (orkgp:P149027)
- Intimate Partner Violence Assessment (orkgp:P149029)
- Risk of bias (orkgp:P149030)
- Intimate Partner Violence Prevalence. Perpetration (orkgp:P149031)
- affected regions (orkgp:P149033)
- climate change triggers (orkgp:P149034)
- risk of large-scale migration from year (orkgp:P149035)
- water crisis causing global migration (orkgp:P149036)
- peak of human mobility in year (orkgp:P149037)
- predicted year of barriers to mobility (orkgp:P149038)
- migration patterns (orkgp:P149039)
- seasonal changes (orkgp:P149040)
- frequency of extreme events (orkgp:P149041)
- sign recognition (orkgp:P149042)
- sign animation (orkgp:P149043)
- parser used (orkgp:P149044)
- gesture recognition (orkgp:P149045)
- gesture animation (orkgp:P149046)
- dataset size (sentences) (orkgp:P149047)
- Speaking measure (orkgp:P149048)
- Claim made by author about findings (orkgp:P149049)
- Study duration (orkgp:P149051)
- General outcomes (orkgp:P149052)
- Claim made by author about findings. Attitude (orkgp:P149053)
- The mixed methods appraisal tool (MMAT) trustworthiness identificator. (orkgp:P149054)
- Food impact on greenhouse gas emissions (orkgp:P149056)
- Food sector impact on global warming (orkgp:P149057)
- Rising greenhouse gas emissions (orkgp:P149058)
- The mixed methods appraisal tool (MMAT) commentary (orkgp:P149059)
- key solutions (orkgp:P149060)
- prediction of people facing hunger (orkgp:P149061)
- Animal-assisted interventions Terminology (orkgp:P149062)
- Session duration (orkgp:P149063)
- Session number (orkgp:P149064)
- Session length (orkgp:P149065)
- measuring instrument (orkgp:P149066)
- number of time series (orkgp:P149067)
- wind rose presence (orkgp:P149068)
- implementation (orkgp:P15)
- number of objects the Business Model Canvas applied to (orkgp:P150000)
- business or process to be mapped with Business Model Canvas (orkgp:P150002)
- Business Model Canvas was applied to (orkgp:P150003)
- Authors adapted/extended Osterwalder`s model (orkgp:P150004)
- Authors used various business models (orkgp:P150005)
- Authors claim a new model development (orkgp:P150006)
- physiological issue analyzed (orkgp:P150008)
- social issue analyzed (orkgp:P150009)
- related to (orkgp:P15001)
- financial issue analyzed (orkgp:P150010)
- Veterans` support events (orkgp:P150011)
- author`s suggestion on the matter (orkgp:P150012)
- author: education (orkgp:P150013)
- author: year of study (orkgp:P150014)
- veterans activities (orkgp:P150015)
- People the study focuses on (orkgp:P150016)
- impairments focused on (orkgp:P150017)
- challenges analysed (orkgp:P150018)
- contributions of the study (orkgp:P150019)
- has GenBank accession number (orkgp:P15002)
- focusOnTaxonomyFormat (orkgp:P150020)
- ICT components (orkgp:P150021)
- tailored new digital learning materials (orkgp:P150022)
- methods to overcome the difficulties (orkgp:P150023)
- OER type (orkgp:P150024)
- length of time series (orkgp:P150025)
- number of evaluated distributions (orkgp:P150026)
- number of goodness of fit metrics (orkgp:P150027)
- enhancement (orkgp:P150028)
- Arts activities (orkgp:P150029)
- has source (orkgp:P15003)
- methodology used (orkgp:P150030)
- dataset language (orkgp:P150031)
- Reported by (orkgp:P150033)
- hub height (orkgp:P150034)
- rated power (orkgp:P150035)
- cut-in wind speed (orkgp:P150036)
- rated wind speed (orkgp:P150037)
- cut-off wind speed (orkgp:P150038)
- Quick summary (orkgp:P15004)
- Features used and feature selection (orkgp:P15005)
- Machine learning algorithms (orkgp:P15006)
- Conducted by (orkgp:P15007)
- Criteria defined by (orkgp:P15008)
- Intended audience (orkgp:P15009)
- Intended use (orkgp:P15010)
- Interview, Survey or Brainstorming (orkgp:P15011)
- Tested various designs (orkgp:P15012)
- Implemented into car mock-up (orkgp:P15013)
- Used prototypes for early feedback (orkgp:P15014)
- Tested usability or user eTperience (orkgp:P15015)
- Tested driving performance (orkgp:P15016)
- Implemented as display mock-up (orkgp:P15017)
- Implemented into real vehicle (orkgp:P15018)
- Feature
Extraction (orkgp:P15019)
- Offline
Database (orkgp:P15020)
- Classifier (orkgp:P15021)
- Algorithm name (orkgp:P15022)
- Advantages (orkgp:P15023)
- Disadvantages (orkgp:P15024)
- Lexicon (orkgp:P15025)
- Lemmas (orkgp:P15026)
- # Entries (orkgp:P15027)
- Labels (orkgp:P15028)
- Tested for SA (orkgp:P15029)
- POS Tags (orkgp:P15030)
- MSA (orkgp:P15031)
- Dialect (orkgp:P15032)
- Emoticons (orkgp:P15033)
- Availability (orkgp:P15034)
- Ontologies (orkgp:P15035)
- Inputs/Outputs (orkgp:P15036)
- Pre/Post-conditions (orkgp:P15037)
- Protocols (orkgp:P15038)
- QoS (orkgp:P15039)
- Specification Languages (orkgp:P15040)
- Matching Result Degrees (orkgp:P15041)
- Incomplete Knowledge (orkgp:P15042)
- Variational Scope (orkgp:P15043)
- Heuristics & Simplif. (orkgp:P15044)
- Calculation Concepts (orkgp:P15045)
- Nature of Traceability (orkgp:P15046)
- Automation (orkgp:P15047)
- Tool-Support (orkgp:P15048)
- Year of
Development (orkgp:P15049)
- Area of use (orkgp:P15050)
- Objective (orkgp:P15051)
- Accuracy/Results (orkgp:P15052)
- Future work/challenges (orkgp:P15053)
- Artefacts (orkgp:P15054)
- Mechanisms providing feedback (orkgp:P15055)
- Information sources (orkgp:P15056)
- Benefits (orkgp:P15057)
- Types of feedback (orkgp:P15058)
- Category (orkgp:P15059)
- Highlights (orkgp:P15060)
- Technology Bases (orkgp:P15061)
- Game Genres (orkgp:P15062)
- Major Contributions (orkgp:P15063)
- esearch
Method (orkgp:P15064)
- Agile
Method (orkgp:P15065)
- Focus (orkgp:P15066)
- Publication type (orkgp:P15067)
- Research Method (orkgp:P15068)
- # of Subjects (orkgp:P15069)
- Studied Picking System (orkgp:P15070)
- System (orkgp:P15071)
- Year (orkgp:P15072)
- Vis. Types (orkgp:P15073)
- Recomm. (orkgp:P15074)
- Incr. (orkgp:P15075)
- App. Type (orkgp:P15076)
- File Size (orkgp:P15077)
- Avg. size of transactions (orkgp:P15078)
- Avg. size of itemsets (orkgp:P15079)
- Threshold (orkgp:P15080)
- Time(sec) (orkgp:P15081)
- Memory Usage (orkgp:P15082)
- catalysts (orkgp:P15083)
- feedgas composition (orkgp:P15084)
- T (°C) (orkgp:P15085)
- P (MPa) (orkgp:P15086)
- conv (%) (orkgp:P15087)
- selectivity (%) (orkgp:P15088)
- SV (ml·g −1·h−1cat) (orkgp:P15089)
- substrate (orkgp:P15090)
- catalyst (orkgp:P15091)
- Analyte (orkgp:P15092)
- Application (orkgp:P15093)
- Sensitivitya (orkgp:P15094)
- Detection limit (orkgp:P15095)
- Experimental Dataset (orkgp:P15096)
- Groundtruth Speci cation (orkgp:P15097)
- Performance Results (orkgp:P15098)
- Error Analysis (orkgp:P15099)
- Comparative Evaluation (orkgp:P15100)
- SLD: Population (orkgp:P151002)
- SLD: Distinction between sex and gender (orkgp:P151003)
- SLD: Menstrual phase coding (orkgp:P151004)
- SLD: Season of data collection (orkgp:P151005)
- SLD: Geographical location (orkgp:P151006)
- PLD: General study design (orkgp:P151007)
- PLD: Timeline of experiment (total) (orkgp:P151008)
- PLD: Pre-laboratory sleep-wake behaviour (orkgp:P151009)
- Key Idea (orkgp:P15101)
- PLD: In-laboratory experimental protocol (orkgp:P151010)
- PLD: Light exposure characteristics (orkgp:P151011)
- PLD: Measurement-level characteristics (orkgp:P151012)
- PLD: Light level characteristics (orkgp:P151013)
- Outcome measures and methods (orkgp:P151014)
- relevant health information (orkgp:P151015)
- hourly matching hydrogen cost without flexible demand or low-cost storage (orkgp:P151017)
- eaten with (orkgp:P151019)
- Physical Layout Representation (orkgp:P15102)
- non-visual effect investigated (orkgp:P151020)
- plc1: sample size and age (orkgp:P151021)
- plc2: ocular health and functioning (orkgp:P151022)
- plc3: reproductive health (orkgp:P151023)
- plc4: menstrual phase coding (orkgp:P151024)
- plc5: distinction between sex and gender (orkgp:P151025)
- clc1: season of data collection (orkgp:P151026)
- clc2: geographical location (orkgp:P151027)
- original study where data was collected (orkgp:P151028)
- slc1: general study design (orkgp:P151029)
- Logical Structure Representation (orkgp:P15103)
- slc2: timeline of experiment (total) (orkgp:P151030)
- slc3: pre-laboratory sleep-wake behaviour (orkgp:P151031)
- scl4: start point of in-lab protocol (orkgp:P151032)
- slc5: in-laboratory experimental protocol (orkgp:P151033)
- slc6: additional visual graphic (orkgp:P151034)
- lec1: light exposure conditions (orkgp:P151035)
- lec2: light source type (orkgp:P151036)
- lec3: light source location (orkgp:P151037)
- lec4: manufacturer of light source (orkgp:P151038)
- lec5: light level characteristics (orkgp:P151039)
- Output Representation (orkgp:P15104)
- lec6: measurement details for illuminance (orkgp:P151040)
- lec7: manufacturer of measuring instrument (orkgp:P151041)
- outcome measures: assessment (orkgp:P151042)
- outcome measures: derived metrics (orkgp:P151043)
- data processing notes (orkgp:P151044)
- lec: viewing distance to stimulus (orkgp:P151045)
- lec: instructions for gaze during exposure (orkgp:P151046)
- data processing/analysis notes (orkgp:P151047)
- Requirements of MAS (orkgp:P151048)
- Potential threats in MAs (orkgp:P151049)
- Logical Labels (orkgp:P15105)
- Types of cyber attacks (orkgp:P151050)
- Fault detection (orkgp:P151051)
- Fault reaction (orkgp:P151052)
- Case study/Simulations (orkgp:P151053)
- Modeled scenarios (orkgp:P151054)
- lec6: viewing distance to stimulus (orkgp:P151055)
- lec7: instructions for gaze during exposure (orkgp:P151056)
- lec8: measurement details for illuminance (orkgp:P151057)
- lec9: manufacturer of measuring instrument (orkgp:P151058)
- detection techniques (orkgp:P151059)
- Application Domain (orkgp:P15106)
- slc4: start point of in-lab protocol (orkgp:P151060)
- research aim (orkgp:P151065)
- library used (orkgp:P151066)
- language used (orkgp:P151067)
- max batch size (orkgp:P151068)
- min batch size (orkgp:P151069)
- Material linearity - Adhesive - Linear (orkgp:P15107)
- pre-trained model used (orkgp:P151070)
- number of fake news (orkgp:P151071)
- number of real news (orkgp:P151072)
- OpenAlex ID (orkgp:P151073)
- OpenAlex ID (orkgp:P151074)
- Top Terms (orkgp:P151076)
- contibution type (orkgp:P151077)
- is wearable (orkgp:P151078)
- is haptic (orkgp:P151079)
- Material linearity - Adhesive - Nonlinear (orkgp:P15108)
- is hardware (orkgp:P151080)
- is software (orkgp:P151081)
- has device (orkgp:P151082)
- device usage (orkgp:P151083)
- music/sound connection (orkgp:P151084)
- capacity factor (orkgp:P151085)
- average power output (orkgp:P151086)
- annual energy produced (orkgp:P151087)
- Material linearity - Adherend - Linear (orkgp:P15109)
- Material linearity - Adherend - nonlinear (orkgp:P15110)
- Adherends - Isotropic (orkgp:P15111)
- Adherends - Composite (orkgp:P15112)
- Adherends - Similar (orkgp:P15113)
- Adherends - Dissimilar - Thickness (orkgp:P15114)
- Adherends - Dissimilar -Material (orkgp:P15115)
- Adhesive stresses - sx (orkgp:P15116)
- Adhesive stresses - sy (orkgp:P15117)
- Adhesive stresses - txy (orkgp:P15118)
- Solution - Closed-form (orkgp:P15119)
- Solution - Numerical (orkgp:P15120)
- Place of experiment (orkgp:P15121)
- Population (orkgp:P15122)
- Procedure (orkgp:P15123)
- data analysis (orkgp:P15124)
- Concluding remarks (orkgp:P15125)
- Comments (orkgp:P15126)
- Governmnt regulation (orkgp:P15127)
- Illegal activities (orkgp:P15128)
- National statistics (GNP) (orkgp:P15129)
- Labor market or status of labor (unregul., no soc. benef., work condit., etc.) (orkgp:P15130)
- Tax evas. or unreport. income (orkgp:P15131)
- Activity’s size (small scale of operat.) (orkgp:P15132)
- Professional status (self-empl. Or family-based) (orkgp:P15133)
- Activity’s regulation or registration (orkgp:P15134)
- Networks (orkgp:P15135)
- Autonomy and flexibility (orkgp:P15136)
- Survival (orkgp:P15137)
- Political (legal aspects) Governmnt regulation (orkgp:P15138)
- Criteria Economic Activity’s size (small scale of operat.) (orkgp:P15139)
- Social Autonomy and flexibility (orkgp:P15140)
- Demand (orkgp:P15141)
- Topology (orkgp:P15142)
- outing (orkgp:P15143)
- Inventory (orkgp:P15144)
- Fleet composition (orkgp:P15145)
- Fleet size (orkgp:P15146)
- Inventory fleet (orkgp:P15147)
- Composition (orkgp:P15148)
- Products (orkgp:P15149)
- Routing aspects (orkgp:P15150)
- Inventory management aspects (orkgp:P15151)
- Sources (orkgp:P15152)
- Chitosanase family (orkgp:P15153)
- Applications (orkgp:P15154)
- Protocol (orkgp:P15155)
- innovation (orkgp:P15156)
- Cluster count (orkgp:P15157)
- Inter-cluster topology (orkgp:P15158)
- CH election (orkgp:P15159)
- Mobility (orkgp:P15160)
- Location awareness (orkgp:P15161)
- Load balancing (orkgp:P15162)
- Node type (orkgp:P15163)
- Nature (orkgp:P15164)
- Cluster Properties Cluster size (orkgp:P15165)
- Intra com. (orkgp:P15166)
- Inter com. (orkgp:P15167)
- CH Properties Mobility (orkgp:P15168)
- ole (orkgp:P15169)
- Objectives (orkgp:P15170)
- Clustering Process CH Election (orkgp:P15171)
- Alg. Complexity (orkgp:P15172)
- Dynamism (orkgp:P15173)
- CH Properties Mobility Node type (orkgp:P15174)
- Column (orkgp:P15175)
- Industry (orkgp:P15176)
- Technical infrastructure (orkgp:P15177)
- System integration (orkgp:P15178)
- Data processing (orkgp:P15179)
- Activation method (orkgp:P15180)
- Group that reacts (with
activated matrix) (orkgp:P15181)
- Polymer (orkgp:P15182)
- Group
hat reacts (orkgp:P15183)
- eagent (orkgp:P15184)
- Activated group
produced (orkgp:P15185)
- Group that reacts
(with activated
matrix) (orkgp:P15186)
- Sample Period (orkgp:P15187)
- Nominal or real exchange rate used (orkgp:P15188)
- Countries and Estimation technique used (orkgp:P15189)
- Main Result (orkgp:P15190)
- Name (orkgp:P15191)
- System model (orkgp:P15192)
- Control model (orkgp:P15193)
- Fault tolerance (orkgp:P15194)
- Simulator (orkgp:P15195)
- Linux (orkgp:P15196)
- Windows (orkgp:P15197)
- Standards and technologies used (orkgp:P15198)
- Open source (orkgp:P15199)
- Behavior coordination (orkgp:P15200)
- bounding box identification (orkgp:P152000)
- linearizer used (orkgp:P152001)
- approaches used (orkgp:P152002)
- files type output (orkgp:P152003)
- files type input (orkgp:P152004)
- number of mathematical expressions (orkgp:P152005)
- type of fonts (orkgp:P152006)
- pdf-version (orkgp:P152007)
- recognition embedded mathematical expressions (orkgp:P152008)
- conflict (orkgp:P152009)
- Real time (orkgp:P15201)
- type of participants (orkgp:P152010)
- existing datasets utilization (orkgp:P152011)
- newly collected data utilization (orkgp:P152012)
- health issues (orkgp:P152013)
- Women participants (orkgp:P152014)
- Methodology (orkgp:P152015)
- Evaluation compared with (orkgp:P152017)
- training optimization (orkgp:P152018)
- input representation (orkgp:P152019)
- Distributed environment (orkgp:P15202)
- output layers (orkgp:P152020)
- total document (orkgp:P152021)
- Annotations (orkgp:P152022)
- drop rate (orkgp:P152023)
- Hidden State Size (orkgp:P152024)
- duration of preparation (orkgp:P152025)
- Converter used (orkgp:P152026)
- collection of documents (orkgp:P152027)
- framework used (orkgp:P152028)
- Heterogeneous Data Source Issues (orkgp:P152029)
- Dynamic wiring (orkgp:P15203)
- Ontology Development Methodology (orkgp:P152030)
- Unified Ontological Framework (orkgp:P152031)
- Extended and Reused Ontologies (orkgp:P152032)
- New Classes and Relationships (orkgp:P152033)
- Evaluation and Validation (orkgp:P152035)
- Interdisciplinary Integration (orkgp:P152036)
- Innovation and Novelty (orkgp:P152037)
- Impact and Future Directions (orkgp:P152038)
- retrieval source (orkgp:P152039)
- Security (orkgp:P15204)
- retrieval data type (orkgp:P152040)
- retrieval granularity (orkgp:P152041)
- augmentation stage (orkgp:P152042)
- retrieval process (orkgp:P152043)
- military conflict (orkgp:P152044)
- photography objects (orkgp:P152045)
- photography type (orkgp:P152046)
- year of the photography taken (orkgp:P152047)
- photographers (orkgp:P152048)
- Elements (orkgp:P15205)
- Authors (orkgp:P15206)
- Date (orkgp:P15207)
- Steel Grade (orkgp:P15208)
- Special Notes (orkgp:P15209)
- Configuration of system (orkgp:P15210)
- Control approach (orkgp:P15211)
- Operating conditions (orkgp:P15212)
- Undershoot [pu] 1 Δf1 (orkgp:P15213)
- Undershoot [pu] 2 Δf2 (orkgp:P15214)
- Column2 ΔPtie (orkgp:P15215)
- Settling time (s) 1 Δf1 (orkgp:P15216)
- Settling time (s) 2 Δf2 (orkgp:P15217)
- Column3 ΔPtie (orkgp:P15218)
- Controller design (orkgp:P15219)
- Control structure (orkgp:P15220)
- │ACE1│ Avg [pu] (orkgp:P15221)
- │ACE2│ Avg [pu] (orkgp:P15222)
- │ACE3│ Avg [pu] (orkgp:P15223)
- Undershoot [pu] Δf (orkgp:P15224)
- Δf2 (orkgp:P15225)
- Δf3 (orkgp:P15226)
- Undershoot [pu] 3 ΔPtie (orkgp:P15227)
- Settling time (s) 3 ΔPtie (orkgp:P15228)
- Correlation (orkgp:P15229)
- Performance indicator (in per-capita terms if not otherwise indicated) (orkgp:P15230)
- Aggregation level (orkgp:P15231)
- Time perspective (CS = cross-section, L = longitudinal) (orkgp:P15232)
- Age indicators (orkgp:P15233)
- Age–performance patternc,d OLS / ordinary least square regression (orkgp:P15234)
- FE / controlled for omitted variables by inclusion of fixed effects (orkgp:P15235)
- IV / instrumental variable approach (orkgp:P15236)
- Countries (orkgp:P15237)
- Period (orkgp:P15238)
- Methodology (orkgp:P15239)
- Conclusion (s) EC-Y (from energy consumption to economic growth ) (orkgp:P15240)
- Y-EC (from ecnomic grwth to energy consumption ) (orkgp:P15241)
- Y2EC (feedback hypothesis ) (orkgp:P15242)
- YaEC neutral hypothesis between energy consumption and economic growth ) (orkgp:P15243)
- Conclusion (s) ELC-Y (electricty consumption to economic growth ) (orkgp:P15244)
- Y-ELC (from ecnomic grwth to electricty consumption ) (orkgp:P15245)
- Y2E (feedback hypothesis ) (orkgp:P15246)
- YaELC (neutral hypothesis between electricty consumption and economic growth) (orkgp:P15247)
- No. (orkgp:P15248)
- Country (orkgp:P15249)
- Conclusion (s) NE-Y(nuclear energy consumption to economic growth ) (orkgp:P15250)
- Y-NE (from ecnomic grwth to nuclear energy consumption ) (orkgp:P15251)
- Y2NE (feedback hypothesis ) (orkgp:P15252)
- YaNE (neutral hypothesis between nuclear energy consumption and economic growth
) (orkgp:P15253)
- Conclusion (s) NE-Y (from nuclear energy consumption to economic growth) (orkgp:P15254)
- Educational context (orkgp:P15255)
- Evaluator (orkgp:P15256)
- Result (orkgp:P15257)
- Topic (orkgp:P15258)
- Taxonomy stage: Step (orkgp:P15259)
- Computational platform (orkgp:P15260)
- Age (years) (orkgp:P15261)
- Sex (orkgp:P15262)
- Chief Clinical presentation (orkgp:P15263)
- Size (mm) (orkgp:P15264)
- Follow up (months) (orkgp:P15265)
- Container flow (orkgp:P15266)
- oute (orkgp:P15267)
- Market (orkgp:P15268)
- emarkable factor (orkgp:P15269)
- Inventory policy (orkgp:P15270)
- Main question (orkgp:P15271)
- Testing profile (orkgp:P15272)
- Measurements (orkgp:P15273)
- Cooling (orkgp:P15274)
- Temperature swing and Tm ax (orkgp:P15275)
- Failures and indicators (orkgp:P15276)
- Failure mechanism (orkgp:P15277)
- Circuit (orkgp:P15278)
- Age (orkgp:P15279)
- Site (orkgp:P15280)
- Size (cm) (orkgp:P15281)
- Weight (g) (orkgp:P15282)
- Symptoms and signs (orkgp:P15283)
- Laboratory fi ndings (orkgp:P15284)
- Surgery (orkgp:P15285)
- RT/Neoadjuvant or adjuvant CT (orkgp:P15286)
- Recurrence (orkgp:P15287)
- Treatment of recurrence (orkgp:P15288)
- Follow-up (orkgp:P15289)
- Number of Objectives (orkgp:P15290)
- Algorithm(s) (orkgp:P15291)
- Tool (orkgp:P15292)
- Quality Indicators (orkgp:P15293)
- Has resource (orkgp:P15295)
- Has vocabulary (orkgp:P15296)
- Tools (orkgp:P15298)
- Some of the simulation model characteristics (orkgp:P15299)
- Performance measures (orkgp:P15300)
- is educational institution (orkgp:P153000)
- is software/hardware design institution (orkgp:P153001)
- is military/veteran institution (orkgp:P153002)
- is research/scientific institution (orkgp:P153003)
- is medical institution (orkgp:P153004)
- health isues addressed to (orkgp:P153005)
- VR type (orkgp:P153006)
- combat experience (orkgp:P153007)
- has woman participants (orkgp:P153008)
- Author’s conclusions (orkgp:P15301)
- AMHS configuration (orkgp:P15302)
- Strategy (orkgp:P15303)
- Objective function(s) (orkgp:P15304)
- Application area studied (orkgp:P15305)
- Type of question asked (orkgp:P15306)
- esearch method & question set (orkgp:P15307)
- Subjects (orkgp:P15308)
- # convolutional layer (orkgp:P15309)
- # fully connected layer, # features (orkgp:P15310)
- 3D model (orkgp:P15311)
- Cascaded method (orkgp:P15312)
- Databases (orkgp:P15313)
- Video (v)/image (i) (orkgp:P15314)
- Gray (g)/color (c) (orkgp:P15315)
- Amount of data (orkgp:P15316)
- Variations (orkgp:P15317)
- Number of landmark points (orkgp:P15318)
- # points (orkgp:P15319)
- fps (orkgp:P15320)
- Detection (d) or tracking (t) (orkgp:P15321)
- Realtime (y) or not (n) (orkgp:P15322)
- Source code (sc) or binary code (bc) (orkgp:P15323)
- Number of points (orkgp:P15324)
- Links (orkgp:P15325)
- Normalized error (orkgp:P15326)
- Coverage (orkgp:P15327)
- Country zone (orkgp:P15328)
- Types of literature reviews (orkgp:P15329)
- Paper (orkgp:P15330)
- Journals/ (papers) (orkgp:P15331)
- Events/ (papers) (orkgp:P15332)
- Other sources/ (papers) (orkgp:P15333)
- Foci (orkgp:P15334)
- Factor (orkgp:P15335)
- Papers (orkgp:P15336)
- Publication type Period (orkgp:P15337)
- Papers Foci (orkgp:P15338)
- Types of literature Publication reviews type (orkgp:P15339)
- Context (orkgp:P15340)
- Power of income (orkgp:P15341)
- Type of data (orkgp:P15342)
- Shape of EKC (orkgp:P15343)
- EKC Turnaround point(s) (orkgp:P15344)
- EKC Turnaround point(s) 2 (orkgp:P15345)
- Tailoring feedback (orkgp:P15346)
- inter- human interaction (orkgp:P15347)
- user targeting (orkgp:P15348)
- adaptation (orkgp:P15349)
- goal setting (orkgp:P15350)
- context awareness (orkgp:P15351)
- self learning (orkgp:P15352)
- Building (orkgp:P15353)
- Building Methodology (orkgp:P15354)
- Key findings (orkgp:P15355)
- Sr. No (orkgp:P15356)
- Techniques (orkgp:P15357)
- Developer (orkgp:P15358)
- Advantage (orkgp:P15359)
- Disadvantage (orkgp:P15360)
- Authenticity Technique (orkgp:P15361)
- Sybil Attacks (orkgp:P15362)
- Node Imper’ (orkgp:P15363)
- Sending False Info’ (orkgp:P15364)
- ID Disc’ (orkgp:P15365)
- Confidentiality (Privacy) Technique (orkgp:P15366)
- Non-repudiation Technique (orkgp:P15367)
- Availability Technique (orkgp:P15368)
- Integrity Technique (orkgp:P15369)
- Challenges (orkgp:P15370)
- #Test (orkgp:P15371)
- Accuracy (%) deyeo0: (orkgp:P15372)
- deyeo0: (orkgp:P15373)
- Time (s) (orkgp:P15374)
- n (orkgp:P15375)
- Aim of the study (orkgp:P15376)
- Study population (orkgp:P15377)
- eferred index (orkgp:P15378)
- efered index (orkgp:P15379)
- Disaster phase Pre-disaster (orkgp:P15380)
- Post-disaster (orkgp:P15381)
- Application case Earthquake (orkgp:P15382)
- Hurricane (orkgp:P15383)
- Flood (orkgp:P15384)
- Objectives First-stage (orkgp:P15385)
- Second-stage (orkgp:P15386)
- Decisions First-stage (orkgp:P15387)
- Second-stage2 (orkgp:P15388)
- Uncertainty on the first-stage (orkgp:P15389)
- Special features (orkgp:P15390)
- Problematic assumptions (orkgp:P15391)
- Uncertainty in the first-stage (orkgp:P15392)
- Features (orkgp:P15393)
- Problematic assumption (orkgp:P15394)
- Solution method (orkgp:P15395)
- Solution Exact (orkgp:P15396)
- Non-exact (orkgp:P15397)
- Problem-tailored heuristic (orkgp:P15398)
- Metaheuristic (orkgp:P15399)
- Matheuristic (orkgp:P15400)
- type of personnel (orkgp:P154000)
- has female participants (orkgp:P154001)
- dietary assessment method (orkgp:P154002)
- is direct observation (orkgp:P154003)
- has 24-hour recal (orkgp:P154004)
- Food Frequency Questionnaires was applied (orkgp:P154005)
- # dietary outcomes (orkgp:P154006)
- anthropometric data assessed (orkgp:P154007)
- alcohol as an energy source considered (orkgp:P154008)
- diet compared with the military guidelines (orkgp:P154009)
- Motivation (orkgp:P15401)
- Spatial structure/population heterogeneity (orkgp:P15402)
- Primary Domain Focus (orkgp:P154020)
- Key Aspects Covered (orkgp:P154021)
- target audience (orkgp:P154022)
- Ontology Design Strategy (orkgp:P154026)
- Ontology Orientation (orkgp:P154027)
- Ontology Extension Rationale (orkgp:P154028)
- Population structure (orkgp:P15403)
- Ontology Scalability Classification (orkgp:P154030)
- Ontology Scalability Evaluation (orkgp:P154031)
- Ontology Reusability Classification (orkgp:P154032)
- Ontology Reusability Evaluation (orkgp:P154033)
- target_species (orkgp:P154035)
- ecosystem_types (orkgp:P154036)
- study_sites (orkgp:P154037)
- degradation_types (orkgp:P154038)
- management_actions (orkgp:P154039)
- Population size (orkgp:P15404)
- matrix multiplication schemes (orkgp:P154042)
- quantization (orkgp:P154043)
- evaluation benchmark (orkgp:P154044)
- zero-shot evaluation tasks (orkgp:P154045)
- accuracy-based tasks (orkgp:P154046)
- Knowledge Organization Systems (orkgp:P154049)
- Recombination Within island (orkgp:P15405)
- Main Discipline (orkgp:P154050)
- # Concepts (orkgp:P154051)
- Depth (orkgp:P154052)
- Kind of hierarchy (orkgp:P154053)
- Related Terms (orkgp:P154054)
- Generation (orkgp:P154055)
- Formats (orkgp:P154056)
- Frequency of update (orkgp:P154057)
- Last update (orkgp:P154058)
- Maintainers (orkgp:P154059)
- Migration (orkgp:P15406)
- Mapping (orkgp:P154060)
- funded (orkgp:P154062)
- implementation field (orkgp:P154063)
- facebook connection (orkgp:P154064)
- VR connection (orkgp:P154065)
- VR device (orkgp:P154066)
- senses (orkgp:P154067)
- activity type (orkgp:P154068)
- Aging (orkgp:P15407)
- used transformers (orkgp:P154070)
- paper class (orkgp:P154073)
- evaluation research (orkgp:P154074)
- philosophical paper (orkgp:P154075)
- opinion paper (orkgp:P154076)
- proposal of solution (orkgp:P154077)
- personal experience paper (orkgp:P154078)
- validation research (orkgp:P154079)
- Self-adaptation (orkgp:P15408)
- experiment on (orkgp:P154080)
- experiment model size (orkgp:P154081)
- quantization level (orkgp:P154082)
- Article Title (orkgp:P154084)
- rotating FOV (orkgp:P154085)
- buildings function (orkgp:P154086)
- expending energy (orkgp:P154087)
- plc01: sample size and age (orkgp:P154088)
- plc02: ocular health and functioning (orkgp:P154089)
- Important implementation parameters / factors (orkgp:P15409)
- plc03: pupil size and/or dilation (orkgp:P154090)
- plc04: reproductive health (orkgp:P154091)
- plc05: menstrual phase coding (orkgp:P154092)
- plc06: distinction between sex and gender (orkgp:P154093)
- prospective/retrospective analysis (orkgp:P154094)
- slc01: general study design (orkgp:P154095)
- slc02: timeline of experiment (total) (orkgp:P154096)
- slc03: pre-laboratory sleep-wake behaviour (orkgp:P154097)
- slc04: start point of in-lab protocol (orkgp:P154098)
- slc05: in-laboratory experimental protocol (orkgp:P154099)
- Other facts (orkgp:P15410)
- slc06: additional visual graphic (orkgp:P154100)
- clc01: season of data collection (orkgp:P154101)
- clc02: geographical location (orkgp:P154102)
- lec01: light exposure conditions (orkgp:P154103)
- lec02: light source type (orkgp:P154104)
- lec03: light source location (orkgp:P154105)
- lec04: manufacturer of light source (orkgp:P154106)
- lec05: light level characteristics (orkgp:P154107)
- lec06: viewing distance to stimulus (orkgp:P154108)
- lec07: instructions for gaze during exposure (orkgp:P154109)
- Definition (orkgp:P15411)
- lec08: measurement details for illuminance (orkgp:P154110)
- lec09: manufacturer of measuring instrument (orkgp:P154111)
- Middle-income range: thresholds (orkgp:P15412)
- Database (orkgp:P15413)
- Time period (orkgp:P15414)
- Number of MIT countries (orkgp:P15415)
- egions most affected by the MIT (orkgp:P15416)
- Method/Technique(s)/ Database (orkgp:P15417)
- Result/ Accuracy (orkgp:P15418)
- Conclusion (orkgp:P15419)
- Future scope (orkgp:P15420)
- Types (orkgp:P15421)
- Objective/estimate(s) process systems (orkgp:P15422)
- Systems applied (orkgp:P15423)
- Positive highlights (orkgp:P15424)
- Ranker (orkgp:P15425)
- Computational complexity (orkgp:P15426)
- Density (orkgp:P15427)
- Diversity (orkgp:P15428)
- Close to boundary (orkgp:P15429)
- Far from boundary (orkgp:P15430)
- Probabilistic/ uncertainty of ranker (orkgp:P15431)
- Myopic (orkgp:P15432)
- Quality attribute (orkgp:P15433)
- Abs. Factory (orkgp:P15434)
- Builder (orkgp:P15435)
- Factory Method (orkgp:P15436)
- Prototype (orkgp:P15437)
- Singleton (orkgp:P15438)
- Adapter (orkgp:P15439)
- Bridge (orkgp:P15440)
- Composite (orkgp:P15441)
- Decorator (orkgp:P15442)
- Facade (orkgp:P15443)
- Flyweight (orkgp:P15444)
- Proxy (orkgp:P15445)
- Chain of Resp. (orkgp:P15446)
- Command (orkgp:P15447)
- Interpreter (orkgp:P15448)
- Iterator (orkgp:P15449)
- Mediator (orkgp:P15450)
- Memento (orkgp:P15451)
- Observer (orkgp:P15452)
- State (orkgp:P15453)
- Template (orkgp:P15454)
- Visitor (orkgp:P15455)
- Samples (orkgp:P15456)
- No. of samples (orkgp:P15457)
- C. jejuni (%) (orkgp:P15458)
- C. coli (%) (orkgp:P15459)
- Others (%) (orkgp:P15460)
- Sp (orkgp:P15461)
- Comparison (orkgp:P15462)
- HPLC global (orkgp:P15463)
- CHG (orkgp:P15464)
- CG (orkgp:P15465)
- Global (orkgp:P15466)
- Others (orkgp:P15467)
- Gasifiers (orkgp:P15468)
- Cost (orkgp:P15469)
- Reported capacity(MWth) (orkgp:P15470)
- Year data (orkgp:P15471)
- Cost V2012 (400 MWth) (orkgp:P15472)
- Scale factor (orkgp:P15473)
- Reported cost (orkgp:P15474)
- Reported capacity (bbl/d) (orkgp:P15475)
- Reported capacity (MWth fuel) (orkgp:P15476)
- Cost V2012 (150 MW unit) (orkgp:P15477)
- Plant type (orkgp:P15478)
- ISBL cost (MV) (orkgp:P15479)
- Total capital investment (MV) (orkgp:P15480)
- Published cost (V/GJ LHV) (orkgp:P15481)
- Updated cost (V 2012/ GJ LHV) (orkgp:P15482)
- Capacity (MWth) (orkgp:P15483)
- Plant cost (MV) (orkgp:P15484)
- Plant cost (MV 2012) (orkgp:P15485)
- Plant cost (400 MW MV 2012) (orkgp:P15486)
- Diesel (V/l (orkgp:P15487)
- Diesel 400 MW (V2012/l) (orkgp:P15488)
- Plant cost (M$) (orkgp:P15489)
- Plant cost (M$ 2012) (orkgp:P15490)
- Plant cost (1000 t/h MV 2012) (orkgp:P15491)
- BEOP ($/barrel) (orkgp:P15492)
- BEOP (V2012/barrel averaged coal price) (orkgp:P15493)
- Diesel (V2012/l) (orkgp:P15494)
- Supervised / unsupervised (orkgp:P15495)
- Dependency on the underlying models (orkgp:P15496)
- Assumption of data availability (orkgp:P15497)
- Computational cost (orkgp:P15498)
- Criterion A (orkgp:P15499)
- Resources and their constraints (orkgp:P15500)
- has wind power density (orkgp:P155000)
- practical results (orkgp:P155002)
- VR implementation (orkgp:P155003)
- job complexity and routing flexibility (orkgp:P15501)
- Sequencing (orkgp:P15502)
- Mono/multi (orkgp:P15503)
- Pure/hybrid (orkgp:P15504)
- Country / Plant part CS (orkgp:P15505)
- Collection site (orkgp:P15506)
- Plant material status (orkgp:P15507)
- Isolation Procedure (orkgp:P15508)
- Oil yield (orkgp:P15509)
- Main components (P5%) (orkgp:P15510)
- Measurement type (orkgp:P15511)
- Country of study (orkgp:P15512)
- Data and sample size (orkgp:P15513)
- Population under analysis (orkgp:P15514)
- Data collec- tion (orkgp:P15515)
- Over-educa- tion incidence (percentages) (orkgp:P15516)
- Satellite sensor (orkgp:P15517)
- Band (orkgp:P15518)
- Image resolution [m] PAN MS (orkgp:P15519)
- Min. size [m] (orkgp:P15520)
- Methods of vessel candidate detection (orkgp:P15521)
- Methods of discrimination/ classification (orkgp:P15522)
- Eval. of results (orkgp:P15523)
- Main purpose (orkgp:P15524)
- No (orkgp:P15525)
- political incentives (POLIN) - political competition (orkgp:P15526)
- political incentives (POLIN) voter participation (orkgp:P15527)
- political incentives (POLIN) - legislative power (orkgp:P15528)
- political incentives (POLIN) - interest group competition (orkgp:P15529)
- political incentives (POLIN) - government size (orkgp:P15530)
- social incentives (SOCIN) - public media (orkgp:P15531)
- social incentives (SOCIN) - interparty competition (orkgp:P15532)
- social incentives (SOCIN) - activity (orkgp:P15533)
- social incentives (SOCIN) - voter wealth (orkgp:P15534)
- social incentives (SOCIN) - regional culture (orkgp:P15535)
- social incentives (SOCIN) - internet access (orkgp:P15536)
- social incentives (SOCIN) - voter demographic (orkgp:P15537)
- financial incentives (FININ) - reliance on debt (orkgp:P15538)
- financial incentives (FININ) - government wealth (orkgp:P15539)
- financial incentives (FININ) - reliance on federal (orkgp:P15540)
- institutional incentives (INSIN) - professionalism (orkgp:P15541)
- institutional incentives (INSIN) - population size (orkgp:P15542)
- institutional incentives (INSIN) - staff demographic (orkgp:P15543)
- institutional incentives (INSIN) - government type (orkgp:P15544)
- institutional incentives (INSIN) - staff selection (orkgp:P15545)
- institutional incentives (INSIN) - IT sophistication (orkgp:P15546)
- governance incentives (GOVIN) - governance power (orkgp:P15547)
- governance incentives (GOVIN) - accounting quality (orkgp:P15548)
- governance incentives (GOVIN) - system endorsement (orkgp:P15549)
- governance incentives (GOVIN) - audit quality (orkgp:P15550)
- governance incentives (GOVIN) - code of ethics (orkgp:P15551)
- governance incentives (GOVIN) - disclosure regulation (orkgp:P15552)
- Variables (orkgp:P15553)
- Gender (men/women) (orkgp:P15554)
- Mean age (years) (orkgp:P15555)
- Pathology/diagnosis (orkgp:P15556)
- Corticosteroit treatment - Corticosteroid (n) (orkgp:P15557)
- Corticosteroit treatment - Noncorticosteroid (n) (orkgp:P15558)
- Anastomotic leakage (AL) - Total AL (n) (orkgp:P15559)
- Anastomotic leakage (AL) - corticosteroid (n) (orkgp:P15560)
- Anastomotic leakage (AL) - noncorticosteroid (n) (orkgp:P15561)
- Statistical analysis OR (orkgp:P15562)
- 95% CI (orkgp:P15563)
- Type of anastomosis - Ileoileal (orkgp:P15564)
- Type of anastomosis -Ileocolic (orkgp:P15565)
- Type of anastomosis - Ileorectal (orkgp:P15566)
- Type of anastomosis - Colorectal (orkgp:P15567)
- Type of anastomosis - Colocolic (orkgp:P15568)
- Type of anastomosis - Ileal pouch (orkgp:P15569)
- Type of anastomosis - anal (IPAA) (orkgp:P15570)
- Type of anastomosis -Handsewn (orkgp:P15571)
- Type of anastomosis - Stapled (orkgp:P15572)
- Surgery - Elective (orkgp:P15573)
- Surgery - Emergency (orkgp:P15574)
- Surgery - Right-sided colectomy (orkgp:P15575)
- Surgery - Left-sided colectomy (orkgp:P15576)
- Surgery - Anterior resection (orkgp:P15577)
- Surgery - Colectomy (orkgp:P15578)
- Surgery - Segmental (orkgp:P15579)
- Product (orkgp:P15580)
- Compound (orkgp:P15581)
- Indication (orkgp:P15582)
- Conc. (%) (orkgp:P15583)
- Disease (orkgp:P15584)
- Number of patients studied (orkgp:P15585)
- N (%) with abnormal karyotype (orkgp:P15586)
- N (% abnormal) with abnormal chromosome (orkgp:P15587)
- N (% abnormal) with abnormal chromosome 1 (orkgp:P15588)
- N (%) with 2 isolated abnormalities (orkgp:P15589)
- Type of abnormalities (orkgp:P15590)
- SCM field (orkgp:P15591)
- Critical success factors (orkgp:P15592)
- Chronologic age in months (orkgp:P15593)
- duration of the study in years (orkgp:P15594)
- Cognitive tests Findings (orkgp:P15595)
- Number of examinees (orkgp:P15596)
- Chronologic age in months at the beginning of the study (orkgp:P15597)
- Cognitive tests (orkgp:P15598)
- Findings (orkgp:P15599)
- The number of examinees (orkgp:P15600)
- test property please delete (orkgp:P156000)
- association created (orkgp:P156001)
- scientist (orkgp:P156002)
- female scientists mentioned (orkgp:P156003)
- activities` finish (orkgp:P156004)
- ADALINE/ Widrow- Hoff (orkgp:P15601)
- reactant (orkgp:P156010)
- temperature range (orkgp:P156011)
- pressure range (orkgp:P156012)
- process parameter (orkgp:P156013)
- material (orkgp:P156014)
- thickness control (orkgp:P156015)
- conformality (orkgp:P156017)
- film property (orkgp:P156018)
- self limiting behavior (orkgp:P156019)
- Backpropagation (orkgp:P15602)
- growth per cycle (orkgp:P156021)
- process characteristic (orkgp:P156022)
- Factuality (orkgp:P156023)
- Faithfulness (orkgp:P156024)
- Manual (orkgp:P156025)
- Attribute (orkgp:P156026)
- task input (orkgp:P156027)
- task label (orkgp:P156028)
- Perceptron (orkgp:P15603)
- task metric (orkgp:P156030)
- VR scenes used/developed (orkgp:P156033)
- First responders (orkgp:P156034)
- VR technology (orkgp:P156035)
- First Responders` training (orkgp:P156036)
- volunteering institutions (orkgp:P156038)
- volunteering activities (orkgp:P156039)
- Radial Basis Function (orkgp:P15604)
- outcome measures (orkgp:P156040)
- Intervention components (orkgp:P156041)
- Assessment tools (orkgp:P156042)
- number of news (orkgp:P156044)
- machine learning framework used (orkgp:P156045)
- data pre-processing methods (orkgp:P156046)
- deep learning model used (orkgp:P156047)
- embeddings method used (orkgp:P156048)
- language of dataset (orkgp:P156049)
- Hopfield (orkgp:P15605)
- Testing Data (orkgp:P156050)
- type of classification data (orkgp:P156051)
- dataset contains images (orkgp:P156054)
- dataset contains texts (orkgp:P156055)
- research fields (orkgp:P156056)
- multimodality (orkgp:P156057)
- for what model used (orkgp:P156058)
- Platform (orkgp:P15606)
- ownerName (orkgp:P156063)
- identifierType (orkgp:P156064)
- RelatedIdentifier (orkgp:P156066)
- InstrumentType (orkgp:P156068)
- Vendor (orkgp:P15607)
- algorithm improved (orkgp:P156070)
- algoritm implementation (orkgp:P156071)
- what will be improved with the developed method (orkgp:P156072)
- developed approach (orkgp:P156073)
- algorithms used to compare with (orkgp:P156074)
- applied value (orkgp:P156075)
- research objects (orkgp:P156076)
- actual problems (orkgp:P156077)
- problem solving approaches (orkgp:P156078)
- Input Parameter (orkgp:P156079)
- Comment (orkgp:P15608)
- Available Nutrients (orkgp:P156080)
- Suitable crop (orkgp:P156081)
- Soil Class (orkgp:P156084)
- Suitable Crops (orkgp:P156085)
- Fields (orkgp:P15609)
- Artifacts (orkgp:P15610)
- Invisibility (orkgp:P15611)
- Payload
Capacity (orkgp:P15612)
- Robustness against
statistical attacks (orkgp:P15613)
- Tolerance to RS
Steganalysis (orkgp:P15614)
- Robustness against
image
manipulation (orkgp:P15615)
- LSBreplacement
style
asymmetry (orkgp:P15616)
- Utilization of edge
areas (orkgp:P15617)
- Species Order (orkgp:P15618)
- Seawater (orkgp:P15619)
- Analytical method (orkgp:P15620)
- Freshwater (orkgp:P15621)
- Brackish water (orkgp:P15622)
- Follow-up time/ total observation time after MON n M/F (orkgp:P15623)
- Patients (orkgp:P15624)
- MS development (orkgp:P15625)
- % who develop MS from MON (%) (orkgp:P15626)
- Diagnostic criteria for MS (CDMS) (orkgp:P15627)
- Method to detect OCBs (orkgp:P15628)
- Odds ratio (95% CI) (orkgp:P15629)
- Sensitivity (95% CI) (orkgp:P15630)
- Specificity (95% CI) (orkgp:P15631)
- [7]Region (orkgp:P15632)
- Farmers (orkgp:P15633)
- Total Social Welfare (million US dollar per year) (orkgp:P15634)
- Social Welfare per adopted hectare (US dollars per hectare) [] (orkgp:P15635)
- Million adopted hectares (yearly averages) [adoption rate%] (orkgp:P15636)
- Technology sellers (orkgp:P15637)
- Consumer Welfare (orkgp:P15638)
- Feasibility (orkgp:P15639)
- Justification/ recommendation (orkgp:P15640)
- inflammatory bowel disease (orkgp:P15641)
- Intestinal operation (orkgp:P15642)
- Recent in- hospital treatment/ operation (orkgp:P15643)
- Recent antibiotic therapy (orkgp:P15644)
- intermediate care unit/ Sepsis (orkgp:P15645)
- Surgical procedure (orkgp:P15646)
- Endoscopy (orkgp:P15647)
- Treatment (orkgp:P15648)
- Deceased (orkgp:P15649)
- Max. reduction (orkgp:P15650)
- Speed of no reduction (orkgp:P15651)
- Distance to microphone, m (orkgp:P15652)
- Method/ Technique(s)/(Database) (orkgp:P15653)
- Result/Accuracy (orkgp:P15654)
- Future work (orkgp:P15655)
- Activity (orkgp:P15656)
- Functional Data specification (orkgp:P15657)
- Variables (1) (orkgp:P15658)
- Economies of Scale (orkgp:P15659)
- Other Measurements (orkgp:P15660)
- Functional specification (orkgp:P15661)
- Scale economies evaluated in the approximation point (orkgp:P15662)
- Disclosures (orkgp:P15663)
- Anonymistion approaches (orkgp:P15664)
- Background information (orkgp:P15665)
- Anonymistion algorithm/method (orkgp:P15666)
- Definition of completeness (orkgp:P15667)
- Measure of completeness (orkgp:P15668)
- Data extraction tools (orkgp:P15669)
- Reminder systems (orkgp:P15670)
- Data repositories (orkgp:P15671)
- For a single source only once (orkgp:P15672)
- With a gold standard (orkgp:P15673)
- Comparison between different tools, information systems or data task (orkgp:P15674)
- Comparison among healthcare institutions (orkgp:P15675)
- Before and after data quality intervention (orkgp:P15676)
- During time intervals (orkgp:P15677)
- Determinants (orkgp:P15678)
- Name of Scheme (orkgp:P15679)
- Parameters (orkgp:P15680)
- Enviroment (orkgp:P15681)
- Tools used for simulation (orkgp:P15682)
- Tool Findings (orkgp:P15683)
- First author (orkgp:P15684)
- Type of test (orkgp:P15685)
- Prevalence, % (orkgp:P15686)
- Sample size (n) (orkgp:P15687)
- Screening (orkgp:P15688)
- Calculation of sample size (orkgp:P15689)
- Species (developmental mode) (orkgp:P15690)
- Body mass (g) (orkgp:P15691)
- Egg mass (g) (orkgp:P15692)
- Embryo assessment , presence only only (orkgp:P15693)
- Embryo assessment, developmental stage stage (orkgp:P15694)
- Incubation state/egg characteristic (orkgp:P15695)
- Difference (% decrease) in shell thickness (egg region) in shell thickness (egg region) (orkgp:P15696)
- test collection (orkgp:P15697)
- has location (orkgp:P15698)
- has beginning (orkgp:P15699)
- has end (orkgp:P15700)
- participants condition (orkgp:P157000)
- model affiliation (orkgp:P157001)
- attention (orkgp:P157002)
- layer-number (orkgp:P157003)
- open training datasets (orkgp:P157004)
- max context window (orkgp:P157005)
- wiki (orkgp:P157006)
- upper limit (orkgp:P15701)
- lower limit (orkgp:P15702)
- University (orkgp:P158000)
- degree (orkgp:P158001)
- Military Service Risk Factors (orkgp:P158002)
- Post Service Risk Factors (orkgp:P158003)
- optimization task (orkgp:P158004)
- Branch and Bound method area of application (orkgp:P158005)
- military background (orkgp:P158006)
- Design & data collection (orkgp:P158007)
- number of network nodes (orkgp:P158008)
- number of network edges (orkgp:P158009)
- number of unique tweets (orkgp:P158010)
- number of coordinated users (orkgp:P158011)
- machine learning model used (orkgp:P158012)
- natural language processing models used (orkgp:P158042)
- carbon footprint method (orkgp:P159001)
- location of consumer (orkgp:P159002)
- location of producer (orkgp:P159003)
- system level emissions (orkgp:P159004)
- deliverability (orkgp:P159005)
- reference scenario (orkgp:P159006)
- has (orkgp:P16)
- has annotated data (orkgp:P16000)
- Has energy carrier (orkgp:P160000)
- has demand (orkgp:P160001)
- has load profile (orkgp:P160002)
- OWL support (orkgp:P160004)
- Semantic Reasoning (orkgp:P160006)
- integration with editors (orkgp:P160007)
- entity generation (orkgp:P160008)
- Custom Naming Conventions (orkgp:P160009)
- SPARQL compability (orkgp:P160010)
- Web interface (orkgp:P160011)
- Complex Query Handling (orkgp:P160012)
- Automated Error Detection (orkgp:P160013)
- product type (orkgp:P160014)
- Abundance (orkgp:P160016)
- Type of polymer (orkgp:P160017)
- Average Particle Abundance (orkgp:P160019)
- additionality (orkgp:P160025)
- Additive Manufacturing Process (orkgp:P160027)
- Coating (orkgp:P160028)
- Technology Readiness Level (orkgp:P160029)
- added features (orkgp:P160030)
- Usage (orkgp:P16007)
- Feature-Of (orkgp:P16008)
- Conjunction (orkgp:P16009)
- Part-Of (orkgp:P16010)
- Hyponym-Of (orkgp:P16011)
- Compare (orkgp:P16012)
- Overall (orkgp:P16013)
- Method automation (orkgp:P16014)
- Supports reference extraction (orkgp:P16015)
- Knowledge graph creation (orkgp:P16016)
- Input format (orkgp:P16017)
- Output format (orkgp:P16018)
- User interface (orkgp:P16019)
- Summary (orkgp:P16020)
- has URI (orkgp:P16021)
- R0 estimates (average) (orkgp:P16022)
- mean time interval between onset and hospital quarantine (orkgp:P16023)
- mean incubation period (orkgp:P16024)
- mean serial interval (orkgp:P16025)
- study period name (orkgp:P16026)
- data collection tool (orkgp:P16027)
- measurement condition 1 (orkgp:P16028)
- measurement condition 2 (orkgp:P16029)
- mean of serial interval (orkgp:P16031)
- standard deviation of serial interval (orkgp:P16032)
- code (orkgp:P16033)
- incubation SD (orkgp:P16034)
- incubation period mean (orkgp:P16035)
- scenario (orkgp:P16036)
- dataset description (orkgp:P16037)
- model-name (orkgp:P161000)
- model-name (orkgp:P161001)
- paradigm (orkgp:P161003)
- training datasets (orkgp:P161004)
- Additional Training Techniques (orkgp:P161005)
- ALDMethod (orkgp:P161007)
- MaterialDeposited (orkgp:P161008)
- Precursor (orkgp:P161010)
- CoReactant (orkgp:P161011)
- CarrierGas (orkgp:P161012)
- Resistivity (orkgp:P161027)
- Variation (orkgp:P161029)
- MaterialProperties (orkgp:P161031)
- OpticalProperties (orkgp:P161034)
- ElectricalProperties (orkgp:P161035)
- ALDSystem (orkgp:P161037)
- ReactantSelection (orkgp:P161039)
- ProcessParameters (orkgp:P161040)
- firm type (orkgp:P161043)
- Generic Use Case (orkgp:P161045)
- Contribution Type (orkgp:P161046)
- F1: persistent URL (orkgp:P161047)
- F2: metadata available (orkgp:P161048)
- A1: meta(data) retrievable using a standardized communication protocol (orkgp:P161049)
- I1: metadata standards reused (orkgp:P161050)
- I2: additional standards reused (orkgp:P161051)
- I2: standards contributed to (orkgp:P161052)
- R1: open-source license (orkgp:P161053)
- R2: interactive tutorials (orkgp:P161054)
- R3: containerized applications (orkgp:P161055)
- research stage (orkgp:P161056)
- PublicationYear (orkgp:P161058)
- resourceTypeGeneral (orkgp:P161059)
- ResourceType (orkgp:P161060)
- experimental evolution (orkgp:P162000)
- MIC fold change (orkgp:P162001)
- annotator (orkgp:P162003)
- Data Construction Domain (orkgp:P162004)
- Tuning Method Evaluation Type (orkgp:P162005)
- Base LLM (orkgp:P162006)
- creatorName (orkgp:P163000)
- AlternateIdentifier (orkgp:P163002)
- alternateIdentifierType (orkgp:P163003)
- obs_used_for_testing (orkgp:P163005)
- allows_unbiased_estimation (orkgp:P163006)
- performance_type (orkgp:P163007)
- Settings (orkgp:P163008)
- context length (in tokens) (orkgp:P163009)
- supported language (orkgp:P163010)
- knowledge cutoff date (orkgp:P163011)
- fine-tuning data (orkgp:P163012)
- size of training corpus (in tokens in billions) (orkgp:P163013)
- relatedIdentifer (orkgp:P163014)
- identifer (orkgp:P163015)
- contribution:research_problem (orkgp:P163017)
- code_repository (orkgp:P163018)
- paper:publication_year (orkgp:P163019)
- Focus Area (orkgp:P163020)
- data format specification (orkgp:P163021)
- data item (orkgp:P163022)
- has parts (orkgp:P163023)
- alias (orkgp:P163024)
- relatedItemType (orkgp:P164000)
- relatedItemIdentifier (orkgp:P164001)
- identifies data quality issues (orkgp:P164002)
- dataset contruction (orkgp:P164003)
- research_field (orkgp:P165001)
- year range of papers (orkgp:P166021)
- implant model (orkgp:P166061)
- cell culture (orkgp:P166062)
- bacterial culture (orkgp:P166063)
- 3D scaffold (orkgp:P166064)
- cell type (orkgp:P166065)
- culture medium ingredient (orkgp:P166066)
- co-culture (orkgp:P166067)
- bacterial organization (orkgp:P166068)
- culture time (orkgp:P166069)
- co-culture medium (orkgp:P166070)
- process plan (orkgp:P166071)
- PurgingGas (orkgp:P166072)
- staining (orkgp:P166093)
- bacterial species (orkgp:P166094)
- barrier (orkgp:P167000)
- Categories (orkgp:P169000)
- Underlying Technique (orkgp:P169001)
- Primary Advantages (orkgp:P169002)
- Resource Requirements (orkgp:P169003)
- Architectural Similarity Required (orkgp:P169004)
- Number of Models (orkgp:P169005)
- Knowledge Integration (orkgp:P169006)
- active learning (orkgp:P169007)
- has part (orkgp:P17)
- R0 estimated duration (orkgp:P17000)
- Unstructured data (orkgp:P170001)
- Structured data (orkgp:P170002)
- Data Extraction Methods (orkgp:P170003)
- research approach (orkgp:P170004)
- PROM (orkgp:P170005)
- Digital Health Platform (orkgp:P170006)
- Sustainable Development Goals (orkgp:P170008)
- indexed keywords (orkgp:P170009)
- data source (orkgp:P17001)
- education type (orkgp:P170010)
- AI types (orkgp:P170011)
- scenario 1 (orkgp:P17002)
- scenario 2 (orkgp:P17003)
- Rc estimates (average) (orkgp:P17004)
- dataset alias name (orkgp:P17005)
- dataset revision (orkgp:P17006)
- method description (orkgp:P17007)
- modelsize (orkgp:P171000)
- datatokens (orkgp:P171001)
- primary LLMs (orkgp:P171002)
- has_application (orkgp:P171003)
- number of true article (orkgp:P171004)
- number of fake article (orkgp:P171005)
- scRNA-seq technique (orkgp:P171007)
- Reported Cells Total (orkgp:P171008)
- Log10(Number of cells) (orkgp:P171009)
- date reported (orkgp:P171011)
- preprint (orkgp:P172000)
- preprint doi (orkgp:P172001)
- Policy Review for land restriction (orkgp:P172002)
- Implicit methods for land exclusion (orkgp:P172003)
- Finidngs (orkgp:P172004)
- Year of publication (orkgp:P172005)
- AI techniques (orkgp:P172006)
- FUTURE RESEARCH DIRECTIONS (orkgp:P172007)
- bits for weights (orkgp:P172008)
- bits for activations (orkgp:P172009)
- bits for KV cache (orkgp:P172010)
- perplexity difference on Wikitext-2 (orkgp:P172011)
- perplexity difference on C4 dataset (orkgp:P172012)
- study novelty (orkgp:P172013)
- veterans issues (orkgp:P172014)
- study limitations (orkgp:P172015)
- primary Tasks (orkgp:P172016)
- external tools (orkgp:P172017)
- Fine Tuning (orkgp:P172018)
- Self RefineType (orkgp:P172019)
- code_repo_url (orkgp:P172020)
- dataset preprocessing (orkgp:P172021)
- preprocessing tool (orkgp:P172022)
- AI technology (orkgp:P172023)
- ethical implication (orkgp:P172024)
- Questions (orkgp:P172025)
- question 1 (orkgp:P172026)
- question 2 (orkgp:P172027)
- question 3 (orkgp:P172028)
- challenge surveyed (orkgp:P172029)
- used LLM (orkgp:P172030)
- utilized datasets (orkgp:P172031)
- NGS platform (orkgp:P172032)
- advantage of using AI (orkgp:P172033)
- disadvantage of using AI (orkgp:P172034)
- applicableUnit (orkgp:P172035)
- isCitedBy (orkgp:P173000)
- type of model (orkgp:P173001)
- Selectivity (orkgp:P173032)
- Research-Based Criteria (orkgp:P173037)
- Regulatory land-use exclusion (orkgp:P173038)
- Light exposure variable(s) (orkgp:P173039)
- Visual environment characteristic(s) (orkgp:P173040)
- Measurement tools (orkgp:P173041)
- Myopia definition (orkgp:P173042)
- Myopia outcome(s) (orkgp:P173043)
- Viewing distance to near object (orkgp:P173044)
- Statistical analysis method (orkgp:P173045)
- Study objective (orkgp:P173046)
- successor (orkgp:P174000)
- warnings rate (orkgp:P174001)
- interruptions rate (orkgp:P174002)
- firm aggregation level (orkgp:P174003)
- programming_languages used (orkgp:P174004)
- contribution:research_focus (orkgp:P174006)
- contribution_data_type (orkgp:P174007)
- contribution_experimental_dataset (orkgp:P174008)
- paper:proposed_method (orkgp:P174009)
- contribution_answer_selection_technique (orkgp:P174010)
- paper_evaluation_method (orkgp:P174011)
- paper:results_relative_to_baseline (orkgp:P174012)
- Proposed Method (orkgp:P174014)
- Studied models (orkgp:P174016)
- Answer selection technique (orkgp:P174017)
- study_mode (orkgp:P174018)
- equation type (orkgp:P174019)
- order of equation (orkgp:P174020)
- growth dynamics (orkgp:P174021)
- linearity (orkgp:P174022)
- analytical solvability (orkgp:P174023)
- Result SciCite (macro-F1 Score) (orkgp:P174026)
- Result ACL-ARC (macro-F1 Score) (orkgp:P174027)
- publication_date (orkgp:P174028)
- publication_venue (orkgp:P174029)
- research_aims (orkgp:P174030)
- theoretical_frameworks (orkgp:P174031)
- participant_count (orkgp:P174032)
- ethical_approval (orkgp:P174033)
- consent_method (orkgp:P174034)
- primary_findings (orkgp:P174035)
- theoretical_contributions (orkgp:P174036)
- researcher_roles (orkgp:P174037)
- data_types (orkgp:P174039)
- data_formats (orkgp:P174040)
- research_project (orkgp:P174041)
- deliverable (orkgp:P174042)
- deliverable_name (orkgp:P174043)
- deliverable_type (orkgp:P174044)
- context_data (orkgp:P174045)
- peer_review_status (orkgp:P174046)
- discipline_areas (orkgp:P174047)
- location_type (orkgp:P174048)
- deployment_context (orkgp:P174049)
- interaction_types (orkgp:P174050)
- interactive_possibilities (orkgp:P174051)
- display_affordances (orkgp:P174052)
- user_groups (orkgp:P174053)
- user_motivations (orkgp:P174054)
- information_type (orkgp:P174055)
- content_types (orkgp:P174056)
- deployment_area (orkgp:P174057)
- social_environment (orkgp:P174058)
- methodological_rationale (orkgp:P174059)
- design_innovations (orkgp:P174060)
- prototyping_method (orkgp:P174061)
- feedback_mechanism (orkgp:P174062)
- user_experience (orkgp:P174063)
- content_accessibility (orkgp:P174064)
- cultural_considerations (orkgp:P174065)
- ethical_consideration (orkgp:P174066)
- privacy_issue (orkgp:P174067)
- content_relevance (orkgp:P174068)
- privacy_dimension (orkgp:P174069)
- theoretical_justification (orkgp:P174070)
- display_effectiveness (orkgp:P174071)
- effectiveness_metrics (orkgp:P174072)
- effectiveness_factor (orkgp:P174073)
- practical_implications (orkgp:P174074)
- institutional_affiliation (orkgp:P174075)
- sampling_strategy (orkgp:P174076)
- observation_technique (orkgp:P174077)
- method_triangulation (orkgp:P174078)
- interdisciplinary_methods (orkgp:P174079)
- content_update_frequency (orkgp:P174080)
- practical_significance (orkgp:P174081)
- innovation_degree (orkgp:P174082)
- study_duration (orkgp:P174083)
- design_adaptations (orkgp:P174084)
- sampling_method (orkgp:P174085)
- inclusion_criteria (orkgp:P174086)
- validity_measure (orkgp:P174087)
- reliability_measure (orkgp:P174088)
- research_question (orkgp:P174089)
- prototyping_approach (orkgp:P174090)
- deployment_status (orkgp:P174091)
- deployment_phase (orkgp:P174092)
- display_count (orkgp:P174093)
- cross-cultural_factor (orkgp:P174094)
- privacy_communication_strategies (orkgp:P174095)
- attention_phases (orkgp:P174096)
- social_impact (orkgp:P174097)
- impact_type (orkgp:P174098)
- impact_description (orkgp:P174099)
- design_objective (orkgp:P174100)
- contextual_effectiveness_variation (orkgp:P174101)
- site-specific_adaptations (orkgp:P174102)
- practical_application_potential (orkgp:P174103)
- research_trend_alignment (orkgp:P174104)
- community_empowerment_aspects (orkgp:P174105)
- urban_planning_applications (orkgp:P174106)
- community_response (orkgp:P174107)
- digital_divide_implications (orkgp:P174108)
- interaction_narrative (orkgp:P174109)
- user_journey (orkgp:P174110)
- interaction_mode (orkgp:P174111)
- social_influence (orkgp:P174112)
- interaction_encouragement_factors (orkgp:P174113)
- observation_period (orkgp:P174114)
- iterative_process (orkgp:P174115)
- user_aims (orkgp:P174116)
- design_success_factors (orkgp:P174117)
- user_trust_factors (orkgp:P174118)
- deployment_challenges (orkgp:P174119)
- cultural_dimension (orkgp:P174120)
- comparative_findings (orkgp:P174121)
- methodological_innovations (orkgp:P174122)
- result_interpretation (orkgp:P174123)
- influence_type (orkgp:P174124)
- influence_strength (orkgp:P174125)
- pattern_description (orkgp:P174126)
- theoretical_implications (orkgp:P174127)
- longitudinal_aspect (orkgp:P174128)
- phase_names (orkgp:P174129)
- content_narrative_structure (orkgp:P174130)
- information_architecture (orkgp:P174131)
- different_ability_considerations (orkgp:P174132)
- cultural_sensitivity (orkgp:P174133)
- effectiveness_trajectory (orkgp:P174134)
- design_evolution (orkgp:P174135)
- methodological_challenges (orkgp:P174136)
- user_expectations (orkgp:P174137)
- environmental_context (orkgp:P174138)
- research_setting (orkgp:P174139)
- method_sequencing (orkgp:P174140)
- stakeholder_involvement (orkgp:P174141)
- participatory_ethics (orkgp:P174142)
- public_service_integration (orkgp:P174143)
- interaction_learning_curve (orkgp:P174144)
- cross-device_interaction (orkgp:P174145)
- collaboration_with (orkgp:P174146)
- local_demographic (orkgp:P174147)
- user_agency_perception (orkgp:P174148)
- time_point_count (orkgp:P174149)
- evidence_type (orkgp:P174150)
- community_ethical_feedback (orkgp:P174151)
- NTL Imagery (orkgp:P174152)
- Outage Timeseries Record (orkgp:P174154)
- Outage Severity Map (orkgp:P174155)
- A Study for Personal Use of the Interactive Large Public Display (orkgp:P174156)
- Satellite Metadata (orkgp:P174157)
- island (orkgp:P174158)
- derived data (orkgp:P174159)
- theoretical contributions (orkgp:P174160)
- publication_impact (orkgp:P174161)
- lab_study_1 (orkgp:P174162)
- field_study (orkgp:P174163)
- add-on_study (orkgp:P174164)
- follows_research_tradition (orkgp:P174165)
- study_type (orkgp:P174166)
- design_limitations (orkgp:P174167)
- unexpected_challenges (orkgp:P174168)
- displays (orkgp:P174169)
- affordance_type (orkgp:P174170)
- affordance_description (orkgp:P174171)
- display_priming (orkgp:P174172)
- software_architecture (orkgp:P174173)
- visual_theme (orkgp:P174174)
- content_effectiveness_metrics (orkgp:P174175)
- sensor_type (orkgp:P174176)
- data_size (orkgp:P174177)
- data_processing_pipeline (orkgp:P174178)
- movement_pattern (orkgp:P174179)
- engagement_pattern (orkgp:P174180)
- biometric_data_handling (orkgp:P174181)
- contactless_interaction (orkgp:P174182)
- movement_types (orkgp:P174183)
- attentional_demand (orkgp:P174184)
- fidelity_level (orkgp:P174185)
- P174028 (orkgp:P174186)
- display_type (orkgp:P174187)
- resolution (orkgp:P174188)
- touch_capability (orkgp:P174189)
- hardware_specifications (orkgp:P174190)
- crowd_density (orkgp:P174191)
- gesture_types (orkgp:P174192)
- input_devices (orkgp:P174193)
- input_modalities (orkgp:P174194)
- temporal_aspects (orkgp:P174195)
- gesture_recognition (orkgp:P174196)
- abstraction_mechanism (orkgp:P174197)
- conducts (orkgp:P174198)
- project (orkgp:P174201)
- project_name (orkgp:P174202)
- start_date (orkgp:P174203)
- research_goal (orkgp:P174204)
- methodological_adaptations (orkgp:P174205)
- methodological_reflections (orkgp:P174206)
- collects_data (orkgp:P174207)
- interaction_count (orkgp:P174208)
- user_counting_metric (orkgp:P174209)
- lab-real_world_difference (orkgp:P174210)
- generalizability_assessment (orkgp:P174211)
- result_limitations (orkgp:P174212)
- contextual_factors (orkgp:P174213)
- result_narrative (orkgp:P174214)
- finding_significance (orkgp:P174215)
- accessibility_features (orkgp:P174217)
- trigger_condition (orkgp:P174218)
- adaptation_response (orkgp:P174219)
- senses_through (orkgp:P174220)
- implemented_by (orkgp:P174221)
- api_support (orkgp:P174222)
- technical_requirement (orkgp:P174223)
- uses_algorithm (orkgp:P174224)
- user_data_handling (orkgp:P174225)
- personalization_capabilities (orkgp:P174226)
- software_adaptability (orkgp:P174227)
- automated_content_generation (orkgp:P174228)
- code_availability (orkgp:P174229)
- software_reliability_measures (orkgp:P174230)
- content_source (orkgp:P174231)
- content_modality (orkgp:P174232)
- interactivity (orkgp:P174233)
- media_format (orkgp:P174234)
- content_personalization (orkgp:P174235)
- user-generated_content_integration (orkgp:P174236)
- interaction_barriers (orkgp:P174237)
- device_type (orkgp:P174238)
- influences_phase (orkgp:P174239)
- user_mental_model (orkgp:P174240)
- pattern_name (orkgp:P174241)
- impact_timescale (orkgp:P174242)
- affects_community (orkgp:P174243)
- unintended_social_consequences (orkgp:P174244)
- privacy_by_design_elements (orkgp:P174245)
- ethical_dimension (orkgp:P174246)
- ethics_committee_approval (orkgp:P174247)
- deployed_at_location (orkgp:P174249)
- smart_city_integration (orkgp:P174250)
- citizen_participation_features (orkgp:P174251)
- connected_infrastructure (orkgp:P174253)
- effectiveness_factors (orkgp:P174254)
- system_load (orkgp:P174255)
- iteration_count (orkgp:P174256)
- involves_users (orkgp:P174257)
- cultural_context (orkgp:P174258)
- localization_needs (orkgp:P174259)
- research opportunity (orkgp:P174261)
- interaction counting (orkgp:P174262)
- collaborates with (orkgp:P174263)
- user accommodations (orkgp:P174265)
- user learning process (orkgp:P174266)
- phase order (orkgp:P174268)
- observable behaviors (orkgp:P174269)
- affects interaction (orkgp:P174270)
- applies to (orkgp:P174271)
- honeypot effect (orkgp:P174272)
- leads to behavior (orkgp:P174274)
- anonymous interaction options (orkgp:P174275)
- display modularity (orkgp:P174276)
- spatial layout (orkgp:P174277)
- coordination mechanism (orkgp:P174278)
- environmental adaptation (orkgp:P174280)
- adaptation type (orkgp:P174281)
- interaction accessibility (orkgp:P174282)
- ai-mediated interaction (orkgp:P174283)
- input modality (orkgp:P174284)
- enables interaction (orkgp:P174286)
- application element (orkgp:P174287)
- ai components (orkgp:P174288)
- machine learning models (orkgp:P174289)
- data capture type (orkgp:P174290)
- skeleton data capabilities (orkgp:P174291)
- interaction data (orkgp:P174292)
- influenced by (orkgp:P174296)
- group analytics (orkgp:P174297)
- tests affordances (orkgp:P174298)
- assessed by (orkgp:P174300)
- affiliated with (orkgp:P174303)
- part of display arrangement (orkgp:P174304)
- data collection methods (orkgp:P174305)
- hygiene considerations (orkgp:P174306)
- display size (orkgp:P174307)
- spatial_layout (orkgp:P174309)
- positioning (orkgp:P174310)
- deployment_period (orkgp:P174311)
- motion_path (orkgp:P174312)
- body_part (orkgp:P174313)
- priming_technique (orkgp:P174314)
- interaction_outcome (orkgp:P174315)
- application_type (orkgp:P174316)
- sensor_logs (orkgp:P174317)
- interaction_data (orkgp:P174318)
- observation_data (orkgp:P174319)
- data_collection_methods (orkgp:P174320)
- observation_duration (orkgp:P174321)
- interaction_counting (orkgp:P174322)
- ecological_validity_measure (orkgp:P174323)
- user_learning_process (orkgp:P174324)
- average_engagement_time (orkgp:P174325)
- refresh_rate (orkgp:P174326)
- input_modality (orkgp:P174327)
- data_capture_type (orkgp:P174328)
- method_limitations (orkgp:P174329)
- comparative_analysis (orkgp:P174330)
- user_satisfaction_measures (orkgp:P174332)
- installation_date (orkgp:P174333)
- visual_quality_assessment (orkgp:P174334)
- viewing_distance (orkgp:P174335)
- distance_category (orkgp:P174336)
- environmental_adaptation (orkgp:P174337)
- adaptation_type (orkgp:P174338)
- user_response (orkgp:P174339)
- perception_rate (orkgp:P174340)
- recognized_by (orkgp:P174341)
- enables_interaction (orkgp:P174342)
- priming_duration (orkgp:P174343)
- uses_content (orkgp:P174344)
- effectiveness_rating (orkgp:P174345)
- facilitates_transition (orkgp:P174346)
- application_element (orkgp:P174347)
- priority (orkgp:P174348)
- research_opportunity (orkgp:P174349)
- post-study_insights (orkgp:P174350)
- protocol_step (orkgp:P174351)
- unexpected_methodological_insights (orkgp:P174352)
- validity_dimension (orkgp:P174353)
- unexpected_findings (orkgp:P174354)
- alternative_explanations (orkgp:P174355)
- transformative_findings (orkgp:P174356)
- user_group (orkgp:P174357)
- user_motivation (orkgp:P174358)
- user_aim (orkgp:P174359)
- user_frustrations (orkgp:P174360)
- user_accommodations (orkgp:P174361)
- user_creativity (orkgp:P174362)
- user_emotional_response (orkgp:P174363)
- frequency_of_occurrence (orkgp:P174364)
- characteristic_of (orkgp:P174365)
- contains_phases (orkgp:P174366)
- phase_order (orkgp:P174367)
- observable_behaviors (orkgp:P174368)
- transition_probability (orkgp:P174370)
- affects_interaction (orkgp:P174371)
- honeypot_effect (orkgp:P174373)
- activation_threshold (orkgp:P174374)
- effect_magnitude (orkgp:P174375)
- propagation_pattern (orkgp:P174376)
- related_to (orkgp:P174381)
- ethical_implication (orkgp:P174382)
- impacts_group (orkgp:P174383)
- ethical_reasoning (orkgp:P174384)
- ethical_tensions (orkgp:P174385)
- ethical_reflection (orkgp:P174386)
- studied_in (orkgp:P174388)
- smart_cities_integration (orkgp:P174389)
- measured_for (orkgp:P174390)
- measured_during (orkgp:P174391)
- influenced_by (orkgp:P174392)
- qualitative_effectiveness_assessment (orkgp:P174393)
- effectiveness_measurement_challenges (orkgp:P174394)
- effectiveness_comparison (orkgp:P174395)
- tests_affordances (orkgp:P174397)
- leads_to_development (orkgp:P174398)
- assessed_by (orkgp:P174399)
- expertise (orkgp:P174401)
- affiliated_with (orkgp:P174402)
- part_of_display_arrangement (orkgp:P174403)
- field_of_view (orkgp:P174404)
- influenced_by_content (orkgp:P174405)
- sound_level_adjustment (orkgp:P174406)
- response_time (orkgp:P174409)
- latency (orkgp:P174410)
- sampling_rate (orkgp:P174411)
- skeleton_data_capabilities (orkgp:P174413)
- requires_calibration (orkgp:P174414)
- calibration_type (orkgp:P174415)
- calibration_parameters (orkgp:P174416)
- uses_tool (orkgp:P174418)
- sensor_3d_images (orkgp:P174420)
- confidence_level (orkgp:P174421)
- depends_on (orkgp:P174422)
- preliminary_questionnaire (orkgp:P174426)
- main_experiment (orkgp:P174427)
- status_count (orkgp:P174428)
- face_validity (orkgp:P174429)
- construct_validity (orkgp:P174430)
- internal_validity (orkgp:P174431)
- change_metric (orkgp:P174432)
- tracked_patterns (orkgp:P174433)
- collaborates_with (orkgp:P174434)
- phase_name (orkgp:P174435)
- interaction_type (orkgp:P174436)
- user_awareness (orkgp:P174437)
- mitigation_strategy (orkgp:P174438)
- opt-out_mechanisms (orkgp:P174439)
- uses_research_method (orkgp:P174441)
- power_consumption (orkgp:P174442)
- null_findings (orkgp:P174443)
- attention_phase (orkgp:P174444)
- environmental_impact_assessment (orkgp:P174445)
- energy_efficiency_measures (orkgp:P174446)
- carbon_footprint (orkgp:P174447)
- lifecycle_assessment (orkgp:P174448)
- effectiveness_metric (orkgp:P174449)
- attention_rate (orkgp:P174450)
- conversion_rate (orkgp:P174451)
- evaluation_metric (orkgp:P174452)
- researcher (orkgp:P174453)
- researcher_name (orkgp:P174454)
- public_display_properties (orkgp:P174456)
- cylindrical_display (orkgp:P174457)
- flat_display (orkgp:P174458)
- cylindrical_display_screen (orkgp:P174459)
- cylindrical_display_projectors (orkgp:P174460)
- cylindrical_display_prototype (orkgp:P174461)
- flat_display_setup (orkgp:P174462)
- ai_components (orkgp:P174463)
- interactivity_and_user_experience (orkgp:P174464)
- software_and_content (orkgp:P174465)
- sensors_and_data_collection (orkgp:P174466)
- research_study_elements (orkgp:P174467)
- h1 (orkgp:P174468)
- h2 (orkgp:P174469)
- h3 (orkgp:P174470)
- variance_of_location_was_significantly_higher_for_the_column_(rows (orkgp:P174471)
- users_spent_significantly_less_time_overall_interacting_with_the_cylindrical_display_(1 (orkgp:P174472)
- user_and_social_dynamics (orkgp:P174473)
- evaluation_metrics (orkgp:P174474)
- research_organization_elements (orkgp:P174475)
- publication_accessibility (orkgp:P174476)
- data_retention_policy (orkgp:P174477)
- pandemic_adaptation (orkgp:P174478)
- hygiene_considerations (orkgp:P174479)
- deployment_log (orkgp:P174480)
- has_interaction_mode (orkgp:P174481)
- county (orkgp:P174484)
- group_analytics (orkgp:P174486)
- addressed_in (orkgp:P174488)
- participating_scientist (orkgp:P174489)
- hasResourceLocation (orkgp:P174490)
- proxemic_dimensions (orkgp:P174492)
- proxemic_interaction (orkgp:P174493)
- spatial_interaction (orkgp:P174494)
- interaction_zones (orkgp:P174495)
- proximity_detection (orkgp:P174496)
- interaction_hotspots (orkgp:P174497)
- noticeability (orkgp:P174498)
- evaluation_framework (orkgp:P174499)
- evaluation_dimensions (orkgp:P174500)
- evaluation_challenges (orkgp:P174501)
- lab_studies (orkgp:P174502)
- field_studies (orkgp:P174503)
- deployment-based_research (orkgp:P174504)
- audience_behavior (orkgp:P174505)
- interaction_patterns (orkgp:P174506)
- attention_measurement (orkgp:P174507)
- engagement_metrics (orkgp:P174508)
- evaluation_ethics (orkgp:P174509)
- observation_techniques (orkgp:P174510)
- data_collection_approaches (orkgp:P174511)
- mixed_methods (orkgp:P174512)
- controlled_studies (orkgp:P174513)
- in-the-wild_studies (orkgp:P174514)
- long-term_evaluation (orkgp:P174515)
- behavioral_metrics (orkgp:P174516)
- perceptual_metrics (orkgp:P174517)
- affective_metrics (orkgp:P174518)
- cognitive_metrics (orkgp:P174519)
- social_metrics (orkgp:P174520)
- privacy_considerations (orkgp:P174521)
- formative_evaluation (orkgp:P174522)
- summative_evaluation (orkgp:P174523)
- longitudinal_studies (orkgp:P174524)
- multi-method_approaches (orkgp:P174525)
- research_validity (orkgp:P174526)
- novelty_effect (orkgp:P174527)
- habituation_effects (orkgp:P174528)
- data_analysis_approaches (orkgp:P174529)
- temporal_factors (orkgp:P174530)
- demographic_factors (orkgp:P174531)
- user_acceptance (orkgp:P174532)
- display_blindness (orkgp:P174533)
- evaluation_planning (orkgp:P174534)
- evaluation_execution (orkgp:P174535)
- transferability (orkgp:P174536)
- replicability (orkgp:P174537)
- multi-stakeholder_evaluation (orkgp:P174538)
- ethnographic_approaches (orkgp:P174539)
- automated_data_collection (orkgp:P174540)
- manual_observation (orkgp:P174541)
- reliability_measures (orkgp:P174542)
- validity_measures (orkgp:P174543)
- technology_probe_approach (orkgp:P174544)
- usability_evaluation (orkgp:P174545)
- user-centered_evaluation (orkgp:P174546)
- context-centered_evaluation (orkgp:P174547)
- hybrid_evaluation_approaches (orkgp:P174548)
- evaluation_phases (orkgp:P174549)
- iterative_evaluation (orkgp:P174550)
- evaluation_criteria_selection (orkgp:P174551)
- benchmarking (orkgp:P174552)
- baseline_measurement (orkgp:P174553)
- evaluation_frameworks (orkgp:P174554)
- evaluation_taxonomies (orkgp:P174555)
- practical_challenges (orkgp:P174556)
- ethical_challenges (orkgp:P174557)
- theoretical_challenges (orkgp:P174558)
- evaluation_scope (orkgp:P174559)
- evaluation_depth (orkgp:P174560)
- evaluation_resources (orkgp:P174561)
- evaluation_timeline (orkgp:P174562)
- evaluation_reporting (orkgp:P174563)
- heuristic_evaluation (orkgp:P174564)
- analytical_evaluation (orkgp:P174565)
- empirical_evaluation (orkgp:P174566)
- impact_evaluation (orkgp:P174567)
- success_metrics (orkgp:P174568)
- failure_analysis (orkgp:P174569)
- evaluation_biases (orkgp:P174570)
- evaluation_limitations (orkgp:P174571)
- contextual_evaluation (orkgp:P174572)
- evaluation_best_practices (orkgp:P174573)
- in-situ_evaluation (orkgp:P174574)
- content_expectations (orkgp:P174575)
- perceived_utility (orkgp:P174576)
- display_location (orkgp:P174577)
- peripheral_awareness (orkgp:P174578)
- animated_content (orkgp:P174579)
- attention_patterns (orkgp:P174580)
- content_type_influence (orkgp:P174581)
- information_density (orkgp:P174582)
- visual_competition (orkgp:P174583)
- surprise_factor (orkgp:P174584)
- display_trustworthiness (orkgp:P174585)
- commercial_content (orkgp:P174586)
- public_information (orkgp:P174587)
- entertainment_content (orkgp:P174588)
- display_positioning (orkgp:P174589)
- passerby_behavior (orkgp:P174590)
- active_ignoring (orkgp:P174591)
- passive_ignoring (orkgp:P174592)
- attention_competition (orkgp:P174593)
- display_noticeability (orkgp:P174594)
- gaze_duration (orkgp:P174595)
- fixation_patterns (orkgp:P174596)
- display_blindness_rate (orkgp:P174597)
- location_appropriateness (orkgp:P174598)
- animation_effects (orkgp:P174599)
- information_value (orkgp:P174600)
- attention_threshold (orkgp:P174601)
- attention_economy (orkgp:P174602)
- banner_blindness_comparison (orkgp:P174603)
- display_saturation (orkgp:P174604)
- cognitive_filtering (orkgp:P174605)
- attention_triggers (orkgp:P174606)
- brightness_factors (orkgp:P174607)
- content_change_rate (orkgp:P174608)
- dwell_time (orkgp:P174609)
- content_fatigue (orkgp:P174610)
- curiosity_factor (orkgp:P174611)
- urgency_perception (orkgp:P174612)
- information_needs (orkgp:P174613)
- urban_context (orkgp:P174614)
- environmental_distractions (orkgp:P174615)
- visibility_constraints (orkgp:P174616)
- attentional_set (orkgp:P174617)
- inattentional_blindness (orkgp:P174618)
- change_blindness (orkgp:P174619)
- attentional_capture (orkgp:P174620)
- motion_sensitivity (orkgp:P174621)
- selective_attention (orkgp:P174622)
- display_ecology (orkgp:P174623)
- contextual_congruence (orkgp:P174624)
- unexpected_content (orkgp:P174625)
- bottom-up_attention (orkgp:P174626)
- top-down_attention (orkgp:P174627)
- attention_restoration (orkgp:P174628)
- display_density (orkgp:P174629)
- visual_field_position (orkgp:P174630)
- cultural_factors (orkgp:P174631)
- prior_experience (orkgp:P174632)
- generational_differences (orkgp:P174633)
- technology_familiarity (orkgp:P174634)
- habituation_patterns (orkgp:P174635)
- environmental_awareness (orkgp:P174636)
- information_overload (orkgp:P174637)
- cognitive_load (orkgp:P174638)
- passive_learning (orkgp:P174639)
- incidental_attention (orkgp:P174640)
- display_legitimacy (orkgp:P174641)
- public_acceptance (orkgp:P174642)
- sustained_attention (orkgp:P174643)
- display_prominence (orkgp:P174644)
- visual_hierarchy (orkgp:P174645)
- focal_point (orkgp:P174646)
- line_of_sight (orkgp:P174647)
- angular_size (orkgp:P174648)
- message_simplicity (orkgp:P174649)
- rapid_comprehension (orkgp:P174650)
- message_memorability (orkgp:P174651)
- information_relevance (orkgp:P174652)
- information_timeliness (orkgp:P174653)
- information_specificity (orkgp:P174654)
- local_relevance (orkgp:P174655)
- display_maintenance (orkgp:P174656)
- content_quality (orkgp:P174657)
- display_reliability (orkgp:P174658)
- perceptual_load (orkgp:P174659)
- signal-to-noise_ratio (orkgp:P174660)
- ambient_awareness (orkgp:P174661)
- change_sensitivity (orkgp:P174662)
- commercial_saturation (orkgp:P174663)
- advertising_skepticism (orkgp:P174664)
- information_seeking (orkgp:P174665)
- information_avoidance (orkgp:P174666)
- urban_visual_pollution (orkgp:P174667)
- display arrangement (orkgp:P174668)
- timestamp (orkgp:P174669)
- displayed on (orkgp:P174670)
- size in inches (orkgp:P174672)
- Duration in seconds (orkgp:P174673)
- Tasks examined and evaluation criteria (orkgp:P174674)
- complexity value 1 (orkgp:P174675)
- complexity value 2 (orkgp:P174676)
- complexity value 3 (orkgp:P174677)
- complexity value 4 (orkgp:P174678)
- complexity value 5 (orkgp:P174679)
- basic query (orkgp:P174701)
- intermediate query (orkgp:P174702)
- Advanced query (orkgp:P174703)
- number of queries (orkgp:P174704)
- What ethical issues and risks are associated with the use of artificial intelligence in public and academic libraries? (orkgp:P175000)
- hydroxyl trend (orkgp:P175001)
- interannual variability (orkgp:P175002)
- Original Dataset (orkgp:P175003)
- Annotator Type (orkgp:P175004)
- Re-annotation Method (orkgp:P175005)
- usia (orkgp:P175006)
- teman (orkgp:P175007)
- suka (orkgp:P175008)
- Contribution Year (orkgp:P175009)
- Goal / Outcome (orkgp:P175010)
- Author Affiliation (orkgp:P175011)
- DL Model Used (orkgp:P175012)
- Preprocessing Techniques (orkgp:P175013)
- Train/Test Split (orkgp:P175014)
- Framework or Platform Used (orkgp:P175015)
- Algorithm or Method (orkgp:P175016)
- Future Directions (orkgp:P175017)
- Supported By (orkgp:P175018)
- # of References (orkgp:P175019)
- AI Model (orkgp:P175020)
- Expert Involvement (orkgp:P175021)
- Used Standalone? (orkgp:P175022)
- annotation_type (orkgp:P175023)
- QA_type (orkgp:P175024)
- aggregation_model (orkgp:P175025)
- key_insight (orkgp:P175026)
- proposed_method (orkgp:P175028)
- proposed_dataset (orkgp:P175029)
- Curation_strategy (orkgp:P175030)
- Proposed_usage (orkgp:P175031)
- domain_specific (orkgp:P175032)
- data_composition (orkgp:P175033)
- benchmark_model (orkgp:P175034)
- # of languages (orkgp:P175035)
- language families (orkgp:P175036)
- # of Scripts (orkgp:P175037)
- validation_type (orkgp:P175038)
- data_type (orkgp:P175039)
- dataset_repository (orkgp:P175040)
- focus_language (orkgp:P175041)
- covered scripts (orkgp:P175042)
- metric results (orkgp:P175043)
- device (orkgp:P175044)
- dimension / has measurement value (orkgp:P175045)
- dimension / has unit (orkgp:P175046)
- weight/without band / has measurement value (orkgp:P175047)
- weight/without band / has unit (orkgp:P175048)
- memory usage / has measurement value (orkgp:P175049)
- memory usage / has unit (orkgp:P175050)
- battery type (orkgp:P175051)
- battery life / has measurement value (orkgp:P175052)
- battery life / has unit (orkgp:P175053)
- accelerometer (orkgp:P175054)
- ambient light (orkgp:P175055)
- ambient temperature (orkgp:P175056)
- event marker (orkgp:P175057)
- infrared light (orkgp:P175058)
- melanopic/photopic light (orkgp:P175059)
- red/green/blue light (orkgp:P175060)
- wrist temperature (orkgp:P175061)
- scene type (orkgp:P175062)
- events (orkgp:P175063)
- what are the state of the art techniques for predictive maintenance using sensor data (orkgp:P175064)
- study_objectives (orkgp:P175065)
- study_area (orkgp:P175066)
- age_groups (orkgp:P175067)
- exclusion_criteria (orkgp:P175068)
- weather conditions/has value (orkgp:P175069)
- weather conditions/measurement (orkgp:P175070)
- light exposure/has value (orkgp:P175071)
- light exposure/measurement (orkgp:P175072)
- spectral composition/type (orkgp:P175073)
- spectral composition/measurement (orkgp:P175074)
- anterior chamber depth/has value (orkgp:P175075)
- anterior chamber depth/measurement (orkgp:P175076)
- axial length/has value (orkgp:P175077)
- axial length/measurement (orkgp:P175078)
- corneal power/thickness / has value (orkgp:P175079)
- corneal power/thickness / measurement (orkgp:P175080)
- lens thickness/has value (orkgp:P175081)
- lens thickness/measurement (orkgp:P175082)
- ser/has value (orkgp:P175083)
- ser/measurement (orkgp:P175084)
- myopia_progression (orkgp:P175085)
- key_findings (orkgp:P175086)
- research_method (orkgp:P175087)
- research_method (orkgp:P175089)
- sex/female (orkgp:P175090)
- sex/male (orkgp:P175091)
- sample_size (orkgp:P175092)
- study_location (orkgp:P175093)
- construct (orkgp:P175094)
- measured_by (orkgp:P175095)
- justification (orkgp:P175096)
- phishing related? (orkgp:P175099)
- vishing related? (orkgp:P175100)
- use of call properties (orkgp:P175101)
- use of psychological principles (orkgp:P175102)
- what do we know about the role(s) of indigenous people in legal trials about marriage? (orkgp:P175103)
- modelling interactions (orkgp:P175104)
- phishing attack type (orkgp:P175105)
- finetuning (orkgp:P175107)
- ontology retrieval (orkgp:P175108)
- Cycloplegia (orkgp:P175109)
- Sleep evaluation tool (orkgp:P175110)
- Ethnicity (orkgp:P175111)
- substrateMaterial (orkgp:P175115)
- designVariables (orkgp:P176029)
- model purpose (orkgp:P176050)
- has algorithm (orkgp:P176051)
- Shape Sensing Method (orkgp:P177000)
- Investigated Component (orkgp:P177001)
- age_group (years) (orkgp:P177002)
- cycloplegics (orkgp:P177003)
- follow up (years) (orkgp:P177004)
- near activity (orkgp:P177005)
- near activity instrument (orkgp:P177006)
- Biogeographic region (orkgp:P177007)
- Study ID (orkgp:P177008)
- Taxa (orkgp:P177009)
- mean value pastures (orkgp:P177010)
- mean value silvopastures (orkgp:P177011)
- mean value natural area (orkgp:P177012)
- Standard deviation pastures (orkgp:P177013)
- Standard deviation silvopastures (orkgp:P177014)
- Standard deviation natural area (orkgp:P177015)
- Replicates pastures (orkgp:P177016)
- Replicates silvopastures (orkgp:P177017)
- Replicates natural area (orkgp:P177018)
- Vegetation type (orkgp:P177019)
- Unique ID (orkgp:P177020)
- sampleID (orkgp:P177021)
- values (orkgp:P177022)
- characterizationMethod (orkgp:P177031)
- number of families (orkgp:P177041)
- name of families (orkgp:P177042)
- theories (orkgp:P177043)
- cancer type (orkgp:P177044)
- epidemiology (orkgp:P177045)
- cancer stages (orkgp:P177047)
- treatment strategies (orkgp:P177048)
- cycloplegic refraction (orkgp:P177050)
- light / duration (orkgp:P177051)
- light / intensity (orkgp:P177052)
- light / pattern (orkgp:P177053)
- light / timing (orkgp:P177054)
- light / spectrum/wavelength (orkgp:P177055)
- has Randomization Unit (orkgp:P177056)
- represents (orkgp:P177057)
- improves Generalizability (orkgp:P177058)
- prevents Contamination (orkgp:P177059)
- has Limitation (orkgp:P177060)
- received (orkgp:P177061)
- has delivery mode (orkgp:P177062)
- has content focus (orkgp:P177063)
- has Interval (orkgp:P177064)
- completed via (orkgp:P177065)
- has number of participants (orkgp:P177066)
- lead to (orkgp:P177067)
- improved (orkgp:P177068)
- had (orkgp:P177069)
- Subtypes (orkgp:P177070)
- experienced by (orkgp:P178002)
- included (orkgp:P178003)
- diagnosed with (orkgp:P178004)
- involved (orkgp:P178005)
- covered (orkgp:P178006)
- covered via (orkgp:P178007)
- drawn from (orkgp:P178008)
- delayed (orkgp:P178010)
- median compared to (orkgp:P178011)
- facility participants (orkgp:P178012)
- report hcd usage (orkgp:P178013)
- hcd use case (orkgp:P178014)
- hcd step (orkgp:P178015)
- hcd automation level (orkgp:P178016)
- cancer stage (orkgp:P178017)
- benefit directly (orkgp:P178018)
- benefit statement (orkgp:P178019)
- benefit magnitude (orkgp:P178020)
- benefit category (orkgp:P178021)
- research recommendation (orkgp:P178022)
- report diversity (orkgp:P178023)
- report quality (orkgp:P178024)
- diversity statement (orkgp:P178025)
- diversity magnitude (orkgp:P178026)
- diversity type (orkgp:P178027)
- diversity dimension (orkgp:P178028)
- quality statement (orkgp:P178029)
- quality magnitude (orkgp:P178030)
- quality type (orkgp:P178031)
- addressed RQ (orkgp:P178032)
- Research Question 1 (orkgp:P178033)
- Research Question 2 (orkgp:P178034)
- Research Question 3 (orkgp:P178035)
- Research Question 4 (orkgp:P178036)
- report risks (orkgp:P178037)
- risk statement (orkgp:P178038)
- risk probability (orkgp:P178039)
- risk damage (orkgp:P178040)
- report artefacts (orkgp:P178041)
- artefact type (orkgp:P178042)
- artefact hcd step (orkgp:P178043)
- AI tool (orkgp:P178044)
- tool version (orkgp:P178045)
- Investigation Method (orkgp:P178046)
- method statement (orkgp:P178047)
- participant role (orkgp:P178048)
- test name (orkgp:P178049)
- test hypothesis (orkgp:P178050)
- control group (orkgp:P178051)
- comparative groups (orkgp:P178052)
- outdoor exposure measurement tool (orkgp:P178053)
- randomized (orkgp:P178054)
- myopic shift (orkgp:P178055)
- axial length increase (orkgp:P178056)
- race (orkgp:P178057)
- antimicrobial class (orkgp:P178063)
- ancestor MIC (orkgp:P178064)
- lineage (orkgp:P178066)
- gene (orkgp:P178067)
- P178065 (orkgp:P178068)
- P162001 (orkgp:P178069)
- P15375 (orkgp:P178070)
- biological replication (orkgp:P178071)
- P178064 (orkgp:P178072)
- Taxonomy elaborated? (orkgp:P179000)
- Open issues (orkgp:P179002)
- Robot hand (orkgp:P179005)
- vision (orkgp:P179006)
- Detection type (orkgp:P179007)
- robot used (orkgp:P179009)
- teleoperation device (orkgp:P179010)
- visual feedback (orkgp:P179011)
- haptic feedback (orkgp:P179012)
- planning (orkgp:P179014)
- motion generation (orkgp:P179015)
- part of (orkgp:P18)
- hasMasterDataRepresentation (orkgp:P18000)
- Type of investigation (orkgp:P180000)
- Type Malicious App (orkgp:P180001)
- Type of operation (orkgp:P180002)
- LHAR type (orkgp:P180003)
- LHAR height (µm) (orkgp:P180004)
- Maximum aspect ratio (AR) (orkgp:P180005)
- Number of ALD cycles (orkgp:P180006)
- Reactor (orkgp:P180007)
- Sticking coefficient of TMA (cTMA) (orkgp:P180008)
- Sticking coefficient of H₂O (cH₂O) (orkgp:P180009)
- hasMappingtoSource (orkgp:P18001)
- Phosphor material (orkgp:P180010)
- Emission color (orkgp:P180011)
- ALD scheme (precursors) (orkgp:P180012)
- Deposition temperature [°C] (orkgp:P180013)
- Coating material (orkgp:P180014)
- Optimal coating thickness [nm] (orkgp:P180015)
- Support material (orkgp:P180016)
- ALD reactants (precursors) (orkgp:P180017)
- Reported coating thickness [nm] (orkgp:P180018)
- Growth per cycle (GPC) [nm] (orkgp:P180019)
- hasDocumentation (orkgp:P18002)
- Downstream NLP Task (orkgp:P180020)
- Focus languages (orkgp:P180021)
- Linguistic focus (orkgp:P180022)
- model input (orkgp:P180023)
- Condition investigated (orkgp:P180024)
- Symptoms/parameters measured (orkgp:P180025)
- Superior LLM in task (orkgp:P180026)
- Host material (orkgp:P180027)
- Dopant (orkgp:P180028)
- Application (orkgp:P180029)
- hasInteractionwithMasterData (orkgp:P18003)
- Answer: llm as tool (orkgp:P180030)
- Host Material Matrix (orkgp:P180031)
- Annealing Temperature in °C (orkgp:P180032)
- External Quantum Efficiency in % (orkgp:P180033)
- Power Efficiency ×10⁻⁴ (orkgp:P180034)
- Threshold Voltage in Volts (orkgp:P180035)
- Emission Lifetime in Milliseconds (orkgp:P180036)
- Operational Device Lifetime in Hours (orkgp:P180037)
- material (orkgp:P180038)
- metal precursor (orkgp:P180039)
- hasStakeholders (orkgp:P18004)
- organic precursor (orkgp:P180040)
- Growth per cycle (GPC) [Å] (orkgp:P180041)
- Precursor 1 (orkgp:P180042)
- Precursor 2 (orkgp:P180043)
- Precursor 3 (orkgp:P180044)
- Precursor 4 (orkgp:P180045)
- M/F ratio (orkgp:P180046)
- LLRL group / mean_SER (orkgp:P180047)
- LLRL group / mean_AL (orkgp:P180048)
- Control group / mean SER (orkgp:P180049)
- hasRepresentationMasterData (orkgp:P18005)
- Control group / mean AL (orkgp:P180050)
- Real-world applicability (orkgp:P180051)
- Data collection technique (orkgp:P180052)
- validation data type (orkgp:P180053)
- has human baseline (orkgp:P180054)
- Feature engineering methods (orkgp:P180055)
- Feature engineering methods (orkgp:P180056)
- Machine/Deep Learning Algorithms (orkgp:P180057)
- consideration of permissions (orkgp:P180059)
- Method (orkgp:P18006)
- Features associated to permissions (orkgp:P180060)
- level of explanation (orkgp:P180062)
- XAI mechanism (orkgp:P180063)
- portability (orkgp:P180064)
- baseline result (orkgp:P180065)
- Species (common name) (orkgp:P180066)
- Species (scientific name) (orkgp:P180067)
- has experimental object (orkgp:P180068)
- Growth stage (orkgp:P180069)
- Data (orkgp:P18007)
- has experimental design (orkgp:P180071)
- Sample size (orkgp:P180072)
- Number of replicates (orkgp:P180073)
- Stress duration (orkgp:P180077)
- Stress type (orkgp:P180078)
- Irrigation instrument (orkgp:P180079)
- Has demo (orkgp:P18008)
- Plant density (orkgp:P180082)
- Total number (orkgp:P180083)
- Number of treatment (orkgp:P180084)
- has drought stress indicators (orkgp:P180086)
- Soil condition (orkgp:P180088)
- Air condition (orkgp:P180089)
- has learning rate (orkgp:P18009)
- Light condition (orkgp:P180090)
- Soil moisture (orkgp:P180091)
- Relative humidity (orkgp:P180092)
- Vapor pressure deficit (orkgp:P180093)
- Photoperiod (orkgp:P180094)
- has experiment result (orkgp:P180095)
- has dropout (orkgp:P18010)
- has hyperparameters (orkgp:P18011)
- has early stopping (orkgp:P18014)
- has optimization (orkgp:P18015)
- has comparisons (orkgp:P18017)
- outperforms (orkgp:P18018)
- Test (orkgp:P18019)
- Training data (orkgp:P18021)
- has (orkgp:P18022)
- consists of (orkgp:P18023)
- handles (orkgp:P18024)
- represent (orkgp:P18025)
- employ (orkgp:P18026)
- treat (orkgp:P18028)
- perform (orkgp:P18029)
- construct (orkgp:P18030)
- assign (orkgp:P18031)
- update parameters (orkgp:P18032)
- Try (orkgp:P18033)
- on task (orkgp:P18035)
- On evaluation dataset (orkgp:P18036)
- F1 (orkgp:P18037)
- has Task (orkgp:P18038)
- use (orkgp:P18039)
- represented by (orkgp:P18040)
- contains (orkgp:P18041)
- adopt (orkgp:P18042)
- inputs of decoding layer (orkgp:P18043)
- Has word embedding (orkgp:P18044)
- Has lstm units in encoding layer (orkgp:P18045)
- has lstm units in decoding layer (orkgp:P18046)
- Has bias parameter alpha (orkgp:P18047)
- accuracy (orkgp:P18048)
- Bleu Score (orkgp:P18049)
- PubChem AID (orkgp:P18050)
- Protein Target (orkgp:P18051)
- status (orkgp:P18052)
- Modiy Date (orkgp:P18053)
- Deposit Date (orkgp:P18054)
- has (orkgp:P18055)
- has confirmatory assay (orkgp:P18056)
- has assay format (orkgp:P18057)
- Has participant (orkgp:P18058)
- has role (orkgp:P18059)
- is bioassay type of (orkgp:P18060)
- has assay method (orkgp:P18061)
- has detection method (orkgp:P18062)
- has assay title (orkgp:P18063)
- has temperature value (orkgp:P18064)
- has incubation time value (orkgp:P18065)
- has assay phase characteristic (orkgp:P18066)
- has measured entity (orkgp:P18067)
- has endpoint (orkgp:P18068)
- has concentration unit (orkgp:P18069)
- Has detection instrument (orkgp:P18070)
- Has (orkgp:P18071)
- status (orkgp:P18072)
- Test group size (orkgp:P18073)
- Inter-code agreement (orkgp:P18074)
- inter-coder agreement (orkgp:P18075)
- annotated abstracts (orkgp:P18076)
- Domains (orkgp:P18077)
- For task (orkgp:P18078)
- Material (orkgp:P18079)
- Data (orkgp:P18080)
- Material (orkgp:P18081)
- Chemical formula (orkgp:P18082)
- Swelling coefficient (orkgp:P18085)
- Cohesive energy density (orkgp:P18086)
- Uses dataset (orkgp:P18087)
- Compares (orkgp:P18091)
- paper:published_in (orkgp:P18092)
- study_date (orkgp:P18093)
- reported_cases (orkgp:P18094)
- estimated_cases (orkgp:P18095)
- has categories (orkgp:P18096)
- organization (orkgp:P18097)
- necessity (orkgp:P18098)
- processing level (orkgp:P18099)
- text data format (orkgp:P18100)
- has keywords (orkgp:P181000)
- resulted in (orkgp:P181001)
- RE task (orkgp:P181002)
- NLP task (orkgp:P181003)
- NLP task type (orkgp:P181004)
- NLP task input (orkgp:P181005)
- NLP task output (orkgp:P181006)
- NLP task output type (orkgp:P181007)
- NLP task output classification label (orkgp:P181008)
- NLP task output extracted element (orkgp:P181009)
- data resources (orkgp:P18101)
- NLP task output translation mapping cardinality (orkgp:P181010)
- NLP dataset (orkgp:P181011)
- NLP data item (orkgp:P181015)
- NLP data production time (orkgp:P181016)
- NLP data source (orkgp:P181017)
- NLP data source type (orkgp:P181018)
- Number of data sources (orkgp:P181019)
- subtasks (orkgp:P18102)
- NLP data source domain (orkgp:P181020)
- NLP data abstraction level (orkgp:P181021)
- NLP data type (orkgp:P181022)
- NLP data format (orkgp:P181023)
- Rigor of data format (orkgp:P181024)
- Natural language (orkgp:P181025)
- Public availability (orkgp:P181026)
- License type (orkgp:P181027)
- Dataset location (orkgp:P181028)
- Location type (orkgp:P181029)
- level (orkgp:P18103)
- Location type (orkgp:P181030)
- Annotation process (orkgp:P181031)
- Annotator (orkgp:P181032)
- Annotator assignment (orkgp:P181033)
- Level of application domain experience (orkgp:P181034)
- Annotator identity (orkgp:P181035)
- Annotation scheme (orkgp:P181036)
- Scheme establishement (orkgp:P181037)
- Guideline availability (orkgp:P181038)
- Shared material (orkgp:P181039)
- strength (orkgp:P18104)
- Fatigue mitigation technique (orkgp:P181040)
- Annotator agreement (orkgp:P181041)
- Intercoder reliability metric (orkgp:P181042)
- Conflict resolution (orkgp:P181044)
- Measured agreement (orkgp:P181045)
- Implemented approach (orkgp:P181046)
- Running requirement (orkgp:P181047)
- Dependency (orkgp:P181048)
- Release format (orkgp:P181049)
- subjectivity (orkgp:P18105)
- Validation procedure (orkgp:P181050)
- Baseline comparison (orkgp:P181051)
- Baseline comparison type (orkgp:P181052)
- Baseline comparison detail (orkgp:P181053)
- architecture assumption (orkgp:P181054)
- science communication criteria (orkgp:P181057)
- pandemic name (orkgp:P181058)
- transmission type (orkgp:P181059)
- theoretical frameworks (orkgp:P181060)
- experiment group (orkgp:P181063)
- APK analysis method (orkgp:P181064)
- feature used for image generation (orkgp:P181065)
- image generation technique (orkgp:P181066)
- type of images generated (orkgp:P181067)
- has stress condition design (orkgp:P181068)
- experiment series (orkgp:P181069)
- Geographic coordinate system (orkgp:P181070)
- Elevation (orkgp:P181071)
- Soil depth (orkgp:P181072)
- prevalence (%) (orkgp:P181073)
- age group/cohort (orkgp:P181074)
- method of assessment (orkgp:P181075)
- refractive status indicator (orkgp:P181076)
- outcomes measured (orkgp:P181077)
- baseline_SER (orkgp:P182005)
- follow_up (years) (orkgp:P182006)
- key_findings / control group (orkgp:P182007)
- key_findings / treated group (orkgp:P182008)
- study_participants (orkgp:P182009)
- treatment/cessation time (orkgp:P183000)
- treatment progression rate of AL (mm/year) (orkgp:P183001)
- cessation progression rate of AL (mm/year) (orkgp:P183002)
- rebound effect (orkgp:P183003)
- treatment progression rate of SE (D/year) (orkgp:P183004)
- cessation progression rate of SE (D/year) (orkgp:P183005)
- diagnostic criteria (orkgp:P183006)
- population / myopes (orkgp:P183007)
- population / emmetropes (orkgp:P183008)
- bio fluid measured (orkgp:P183009)
- State/Province (orkgp:P183010)
- RE stage (orkgp:P183011)
- Dataset Reference (orkgp:P183012)
- Dataset Year (orkgp:P183013)
- CCS concepts (orkgp:P183014)
- Core approach (orkgp:P183015)
- risk metrics / outputs (orkgp:P183016)
- size & family breakdown (orkgp:P183017)
- distinctive properties (orkgp:P183018)
- drift addressed (orkgp:P183020)
- Core method / adaptation (orkgp:P183021)
- Key results / metrics (orkgp:P183022)
- distinctive property (orkgp:P183023)
- Approach & model Architecture (orkgp:P183024)
- Datasets & features used (orkgp:P183026)
- Performance & key findings (orkgp:P183027)
- Area in City (orkgp:P183028)
- Year (end) (orkgp:P183029)
- Month (end) (orkgp:P183030)
- Date (end) (orkgp:P183031)
- Year (start) (orkgp:P183033)
- Month (start) (orkgp:P183034)
- Date (start) (orkgp:P183035)
- genetic variant (orkgp:P183044)
- medical condition (ancestral) (orkgp:P183045)
- Plant height (orkgp:P183048)
- Species (variety) (orkgp:P183050)
- Replicates treeless pastures (orkgp:P183051)
- Standard deviation treeless pastures (orkgp:P183052)
- mean value treeless pastures (orkgp:P183053)
- Photosynthetically Active Radiation (PAR) (orkgp:P183054)
- Fertilizer (orkgp:P183055)
- Protected Cultivation (orkgp:P183056)
- Species (genotypes) (orkgp:P183057)
- Annual rainfall (orkgp:P183058)
- Climate condition (orkgp:P183059)
- Slope (orkgp:P183060)
- Intercept (orkgp:P183061)
- Disease (ancestral) (orkgp:P183062)
- transfer learning strategy / source model (orkgp:P183063)
- target domain & data representation (orkgp:P183064)
- main model architecture / integration (orkgp:P183073)
- performance & key results (orkgp:P183074)
- hasFormat (orkgp:P183075)
- hasSource (orkgp:P183076)
- isGeneratedBy (orkgp:P183077)
- hasProvenance (orkgp:P183078)
- hasTargetClass (orkgp:P183079)
- hasPropertyPath (orkgp:P183080)
- hasDataType (orkgp:P183081)
- hasMinCount / hasMaxCount (orkgp:P183082)
- hasNodeKind (orkgp:P183083)
- hasValue (orkgp:P183084)
- has SHACL schema (orkgp:P183085)
- Persistent Link / Access (orkgp:P183086)
- Type / Class (orkgp:P183087)
- generation approach (orkgp:P183088)
- dataset characteristics (orkgp:P183089)
- optimization techniques (orkgp:P183090)
- ensemble strategy (orkgp:P183091)
- LLM strategy (orkgp:P183092)
- integration and hybridization (orkgp:P183093)
- explainability and reasoning mechanisms (orkgp:P183094)
- dataset and evaluation results (orkgp:P183095)
- federated learning architecture (orkgp:P183096)
- privacy and security mechanisms (orkgp:P183097)
- non-IID handling and robustness strategy (orkgp:P183098)
- Access / DOI / Link (orkgp:P183099)
- hasSchema (orkgp:P183100)
- Disease class (orkgp:P183101)
- Disease class (ancestral) (orkgp:P183102)
- genetic algorithm technique (orkgp:P183103)
- learning model (orkgp:P183104)
- blockchain usage (orkgp:P183105)
- system architecture (orkgp:P183106)
- Consensus and blockchain type (orkgp:P183107)
- data characteristics and results (orkgp:P183108)
- feature characteristics (orkgp:P183109)
- effect of augmentation (orkgp:P183110)
- usda link (orkgp:P183112)
- usda food name (orkgp:P183114)
- Hallucination Trigger (orkgp:P183115)
- hallucination type (orkgp:P183116)
- Material (orkgp:P183117)
- Surface adsorption (orkgp:P183118)
- Surface removal (orkgp:P183119)
- EPC (Ã/cycle) (orkgp:P183120)
- Etching temperature (orkgp:P183121)
- Class imbalance resolution technique (orkgp:P183122)
- Semi-conductor (orkgp:P183123)
- Modification (orkgp:P183124)
- Removal (orkgp:P183125)
- Activation (orkgp:P183126)
- Material type (orkgp:P183127)
- number of coefficients (orkgp:P183128)
- Precursor chemistries for fluorination (orkgp:P183129)
- Process temp. (°C) (orkgp:P183130)
- Etching rate (Å/cycle) (orkgp:P183131)
- Ion energy in the removal step (Bias voltage) (orkgp:P183132)
- Selectivity of material (orkgp:P183133)
- Improving etch selectivity method (orkgp:P183134)
- Method of removal chamber wall effect (orkgp:P183135)
- Etching mechanism (orkgp:P183136)
- 1st step (orkgp:P183137)
- 2nd step (orkgp:P183138)
- 3rd step (orkgp:P183139)
- limitation (orkgp:P183140)
- Precursor Chemistries for Adsorption (orkgp:P183142)
- Energy Source for Etching/Desorption (orkgp:P183143)
- Material etched (orkgp:P183144)
- Reactant 1 (orkgp:P183145)
- Reactant 2 (orkgp:P183146)
- Reactant 3 (orkgp:P183147)
- Direction (orkgp:P183148)
- Reaction (orkgp:P183149)
- Time of cycle (orkgp:P183151)
- P183125 (orkgp:P183152)
- P183130 (orkgp:P183153)
- P183120 (orkgp:P183154)
- P183148 (orkgp:P183155)
- P183149 (orkgp:P183156)
- P183151 (orkgp:P183157)
- P9071 (orkgp:P183158)
- Concept Identifier (orkgp:P183159)
- renewable energy source (orkgp:P183161)
- opportunities (orkgp:P183162)
- threats (orkgp:P183163)
- knowledge type (orkgp:P183164)
- Digital PROM (orkgp:P183167)
- Data assimilation technique (orkgp:P183168)
- Assimilated model (orkgp:P183169)
- state variables updated (orkgp:P183170)
- purpose of assimilation (orkgp:P183171)
- assimilation window (orkgp:P183172)
- image encoder (orkgp:P183176)
- Penetration technique (orkgp:P183181)
- Ancestral population (orkgp:P183182)
- Tech-Savviness (orkgp:P183183)
- Sustainability Intention (orkgp:P183186)
- Attitude toward Sustainability (orkgp:P183187)
- usda food ingredient (orkgp:P183194)
- has contribution (orkgp:P183197)
- paper goal (orkgp:P184000)
- screen time / measure type (orkgp:P184001)
- myopia progression rate (orkgp:P184002)
- myopia / measure (orkgp:P184003)
- myopia / definition (orkgp:P184004)
- screen time / units of expose (orkgp:P184005)
- male:female ratio (orkgp:P184006)
- exposure duration (orkgp:P184007)
- luminuous used (orkgp:P184008)
- wavelength used (orkgp:P184009)
- isSupplementTo (orkgp:P184113)
- observation assimilated (orkgp:P184185)
- hydropower scheme type (orkgp:P184216)
- power plant scale (orkgp:P184217)
- power plant type (orkgp:P184218)
- flow duration curve (orkgp:P184219)
- treatment schedule (orkgp:P184220)
- duration (months) (orkgp:P184221)
- SER (orkgp:P184222)
- irradiation parameters (orkgp:P184223)
- Fluency (orkgp:P184233)
- Atomicity (orkgp:P184234)
- De-Contextualization (orkgp:P184235)
- Methodolgy (orkgp:P184236)
- Claims (orkgp:P184237)
- Claim-Evidence links (orkgp:P184238)
- Task Category (orkgp:P184239)
- Semantic Web (orkgp:P184240)
- Computational Validation of Claims Against Evidence (orkgp:P184241)
- Semantic Web Technology (orkgp:P184243)
- Step 3 (orkgp:P184244)
- Step 4 (orkgp:P184245)
- Top-down (orkgp:P184246)
- Bottom-up (orkgp:P184247)
- Structure 1 (orkgp:P184248)
- Structure 2 (orkgp:P184249)
- Structure 3 (orkgp:P184250)
- Structure 4 (orkgp:P184251)
- Structure 5 (orkgp:P184252)
- LLM Use in Methodology (orkgp:P184253)
- Type of Claimss (orkgp:P184254)
- Domain Dependency (orkgp:P184255)
- Crowdsourcing Component (orkgp:P184256)
- Automated NLP Component (orkgp:P184257)
- Semantic Layer (Ontological Foundation) (orkgp:P184258)
- Syntactical Layer (LaTeX Extension) (orkgp:P184259)
- Processing Workflow (orkgp:P184260)
- Method label (orkgp:P184262)
- Integration pattern (IP) (orkgp:P184263)
- Symbolic substrate (SS) (orkgp:P184264)
- Neural function (NF) (orkgp:P184265)
- Design domain (orkgp:P184266)
- Key contribution & evidence (orkgp:P184267)
- food class (orkgp:P184317)
- usda food class (orkgp:P184318)
- target data (orkgp:P184319)
- target concept (orkgp:P184321)
- duplicate detection (orkgp:P184322)
- duplicate resolution (orkgp:P184323)
- duplicate prevention (orkgp:P184324)
- duplicate detection technique (orkgp:P184325)
- features of similarity (orkgp:P184326)
- candidate generation (orkgp:P184327)
- duplicate detection mode (orkgp:P184328)
- duplicate resolution mode (orkgp:P184330)
- duplicate prevention mechanism (orkgp:P185003)
- Plasmodium species (orkgp:P186004)
- infection pattern (orkgp:P186005)
- parasitemia level (orkgp:P186006)
- treatment status (orkgp:P186007)
- host type (orkgp:P186008)
- Physiological status (orkgp:P186009)
- nutritional status (orkgp:P186010)
- Anemia evaluation (orkgp:P186041)
- Bone compartment affected (orkgp:P186043)
- Bone marrow pathology (orkgp:P186044)
- Bone remodeling markers (orkgp:P186045)
- Bone health outcomes (orkgp:P186046)
- Skeletal development impact (orkgp:P186047)
- Inflammatory mediators (orkgp:P186048)
- Immune signaling pathways (orkgp:P186049)
- Anemia mechanism (orkgp:P186050)
- Nutrition–malaria–bone link identified (orkgp:P186053)
- Anthropometric indicators (orkgp:P186054)
- Logical Expressivity (orkgp:P186055)
- Core components (orkgp:P186056)
- Design principles (orkgp:P186057)
- Implementation approach (orkgp:P186058)
- paper_year (orkgp:P186085)
- Product_identification (orkgp:P186086)
- Lifecycle_traceability (orkgp:P186087)
- Warranty_duration (orkgp:P186088)
- Warranty_scope_text (orkgp:P186089)
- Warranty_payment_rules (orkgp:P186090)
- Multi_party_coverage (orkgp:P186091)
- RMA_workflows (orkgp:P186092)
- RDF_OWL_format (orkgp:P186093)
- LOV_registered (orkgp:P186094)
- Software URL (orkgp:P186095)
- has ROR ID (orkgp:P186096)
- Article URL (orkgp:P186097)
- Journal URL (orkgp:P186098)
- Date Submitted (orkgp:P186099)
- has first name (orkgp:P186100)
- has last name (orkgp:P186101)
- has ORCID ID (orkgp:P186102)
- Landscape Analysis (orkgp:P186103)
- Community Engagement (orkgp:P186104)
- Ontology Development (orkgp:P186105)
- Application Pattern (orkgp:P186106)
- Embodiment (orkgp:P186107)
- Publishing Date (orkgp:P186108)
- Subset or Tasks trained (orkgp:P186109)
- Kaggle Leaderboard (orkgp:P186110)
- Type of Dataset (orkgp:P186111)
- Input Transformation (orkgp:P186112)
- Transformation Method (orkgp:P186113)
- Transformation Role (orkgp:P186114)
- NL Component (orkgp:P186115)
- Subset or Tasks evaluated (orkgp:P186116)
- Diverse Inference (orkgp:P186117)
- Certainty (orkgp:P186118)
- #Tasks Trained (orkgp:P186119)
- Scalability to Full ARC (orkgp:P186120)
- Tasks Evaluated Private ARC-1 (orkgp:P186121)
- Score (%) Private ARC-1 (orkgp:P186122)
- Tasks Evaluated Private ARC-2 (orkgp:P186123)
- Score (%) Private ARC-2 (orkgp:P186124)
- Costs per Task ARC-1 ($) (orkgp:P186125)
- Costs per Task ARC-2 (orkgp:P186126)
- Metric Name (orkgp:P186127)
- Tasks Evaluated Public ARC-2 (orkgp:P186128)
- Score (%) Public ARC-2 (orkgp:P186129)
- Evaluation Protocol (orkgp:P186130)
- Hardware Spec (orkgp:P186131)
- Tasks Evaluated Public ARC-1 (orkgp:P186132)
- Score (%) Public ARC-1 (orkgp:P186133)
- Runtime ARC-1 (orkgp:P186134)
- Other Metrics (%) (orkgp:P186135)
- Comparitve Results (orkgp:P186136)
- Human Benchmark (orkgp:P186137)
- Error Types (orkgp:P186138)
- Unique Successes (orkgp:P186139)
- Runtime ARC-2 (orkgp:P186140)
- Unique Solves (TaskID) (orkgp:P186141)
- page(s) (orkgp:P186142)
- DS assumption (orkgp:P186143)
- noise_level (orkgp:P186144)
- quality_metric (orkgp:P186145)
- benchmark dataset (orkgp:P186146)
- relation_type (orkgp:P186147)
- benchmark_dataset (orkgp:P186148)
- model_architecture (orkgp:P186149)
- supervision_type (orkgp:P186150)
- Curator involvement (orkgp:P186151)
- discipline (orkgp:P186152)
- target facets of a review (orkgp:P186153)
- aspect facets of a review (orkgp:P186154)
- GPC (Å/cycle) (orkgp:P187000)
- Carrier Gas (orkgp:P187001)
- Purging Gas (orkgp:P187002)
- Dosing Time (seconds) (orkgp:P187003)
- Purging Time (seconds) (orkgp:P187004)
- Number of Cycles (orkgp:P187005)
- Disease Type (orkgp:P187006)
- population group (orkgp:P187007)
- Food/Diet intervention (orkgp:P187008)
- Nutrient focus (orkgp:P187009)
- Duration of intervention (orkgp:P187010)
- material link (orkgp:P187011)
- uses models (orkgp:P187012)
- Involved methods (orkgp:P187014)
- Levels Completed ARC-3 (orkgp:P188001)
- Games Completed ARC-3 (orkgp:P188002)
- Score (%) Public ARC-3 (orkgp:P188003)
- Runtime ARC-3 (Actions Taken) (orkgp:P188005)
- Partial/Atomic Solve (%) (orkgp:P188006)
- social review constructs (orkgp:P188007)
- error aspects of a review (orkgp:P188008)
- source of the peer review evaluation dataset (orkgp:P188009)
- LLMs tested as peer review tools (orkgp:P188010)
- Merge Space (orkgp:P188011)
- argument facets of a review (orkgp:P188012)
- data_repo_url (orkgp:P188013)
- AI tasks for peer review assistance (orkgp:P188014)
- Tasks Evaluated Public ARC-3 (orkgp:P188020)
- argument facets of a rebuttal (orkgp:P188021)
- review evaluation facets (orkgp:P188022)
- argumentative facet (orkgp:P188023)
- polarity facet (orkgp:P188024)
- cognitive function (orkgp:P188025)
- Training Paradigm (orkgp:P188026)
- Primary Datasets (orkgp:P188027)
- Evaluation Benchmarks (orkgp:P188028)
- Evaluation Benchmarks (orkgp:P188029)
- Evaluation Benchmarks (orkgp:P188030)
- Evaluation Benchmarks (orkgp:P188031)
- Key Metrics (orkgp:P188032)
- training objectives (orkgp:P188033)
- lazy review aspects (orkgp:P188034)
- modeling language (orkgp:P188046)
- modeling method (orkgp:P188047)
- Key functional factors (orkgp:P188050)
- Safety mechanism (orkgp:P188051)
- State space model (orkgp:P188052)
- Inference paradigm (orkgp:P188053)
- Mathematical formulation (orkgp:P188054)
- Intended use / scope (orkgp:P188055)
- Output artifact (orkgp:P188056)
- literature search method (orkgp:P188057)
- literature search representativeness (orkgp:P188058)
- type of evidence (orkgp:P188059)
- synthesis method (orkgp:P188060)
- reporting guideline (orkgp:P188061)
- quality assessment (orkgp:P188062)
- update (orkgp:P188063)
- contribution:contribution_label (orkgp:P188064)
- Versioning approach (orkgp:P188065)
- Temporal metadata model (orkgp:P188066)
- Time dimension (orkgp:P188067)
- Continuous validity modeling (orkgp:P188068)
- Metadata representation method (orkgp:P188069)
- SPARQL grammar extension required (orkgp:P188070)
- Custom physical storage structures required (orkgp:P188071)
- Cross-store portability (orkgp:P188072)
- Version materialization query support (orkgp:P188073)
- Delta materialization query support (orkgp:P188074)
- Full SPARQL query support (orkgp:P188075)
- Automatic query rewriting (orkgp:P188076)
- SPARQL query patterns provided (orkgp:P188077)
- query set (orkgp:P188078)
- input (orkgp:P19)
- Lower confidence limit (orkgp:P19000)
- Upper confidence limit (orkgp:P19001)
- has study (orkgp:P19002)
- employs (orkgp:P2)
- output (orkgp:P20)
- robotised the workflow (orkgp:P2000)
- Case fatality ratio (CFR) (orkgp:P20000)
- Cumulative Incidence (CI) (orkgp:P20001)
- Infection fatality ratio (IFR) (orkgp:P20002)
- average estimated ratio between the actual number of individuals that have been infected and observed cases (orkgp:P20003)
- data1 description (orkgp:P20004)
- data1 source (orkgp:P20005)
- data2 description (orkgp:P20006)
- data2 source (orkgp:P20007)
- data3 description (orkgp:P20008)
- data3 source (orkgp:P20009)
- Algorithm (orkgp:P2001)
- study dates (orkgp:P20010)
- Ascertainment Rate (q) (orkgp:P20011)
- Number of confirmed cases (orkgp:P20012)
- Intrinsic growth rate (orkgp:P20013)
- Scaling of growth parameter (orkgp:P20014)
- Number of deaths (orkgp:P20015)
- Percentage of total cases (orkgp:P20016)
- Scaling Types (orkgp:P20017)
- Research Questions (orkgp:P20018)
- Si precursor (orkgp:P20019)
- Stable (orkgp:P2002)
- contacting electrode (orkgp:P20020)
- counter electrode (orkgp:P20021)
- (pseudo)reference electrode (orkgp:P20022)
- temperature (orkgp:P20023)
- process specification (orkgp:P20024)
- total estimated cases (orkgp:P20025)
- total confirmed cases (orkgp:P20026)
- susceptible (orkgp:P20027)
- infected (orkgp:P20028)
- removed (orkgp:P20029)
- Best complexity (orkgp:P2003)
- achieves (orkgp:P20030)
- on (orkgp:P20031)
- learn (orkgp:P20032)
- recognizes (orkgp:P20033)
- framework (orkgp:P20034)
- identify (orkgp:P20035)
- apply (orkgp:P20036)
- implement (orkgp:P20037)
- consists of two modules (orkgp:P20038)
- recognize (orkgp:P20039)
- Worst complexity (orkgp:P2004)
- identifies (orkgp:P20040)
- evaluate (orkgp:P20041)
- evaluate on (orkgp:P20042)
- use (orkgp:P20043)
- with (orkgp:P20044)
- is (orkgp:P20045)
- used (orkgp:P20046)
- conduct (orkgp:P20047)
- on (orkgp:P20048)
- explore (orkgp:P20049)
- dataset (orkgp:P2005)
- analyze (orkgp:P20050)
- has sequencing type (orkgp:P20051)
- has sequencing method (orkgp:P20052)
- R0_estimates_(average) (orkgp:P20053)
- Estimated infectious period (orkgp:P20054)
- Estimated mean latent (orkgp:P20055)
- Estimated removed rate (orkgp:P20056)
- Initial ratio of isolating susceptible individuals (orkgp:P20057)
- reagent (orkgp:P20058)
- has kit (orkgp:P20059)
- metric (orkgp:P2006)
- has study design (orkgp:P20060)
- number of persons tested (orkgp:P20062)
- open invitation (orkgp:P20064)
- random sample (orkgp:P20065)
- number of persons with viral genome sequenced (orkgp:P20066)
- Virus names in GISAID (orkgp:P20067)
- EPI accession numbers (orkgp:P20068)
- number of sequence variants (orkgp:P20069)
- presents (orkgp:P2007)
- GISAID URL (orkgp:P20070)
- Introduce (orkgp:P20071)
- model (orkgp:P20072)
- is (orkgp:P20073)
- use (orkgp:P20074)
- mask (orkgp:P20075)
- replacing (orkgp:P20076)
- replacement (orkgp:P20077)
- involves (orkgp:P20078)
- remove (orkgp:P20079)
- Formalization (orkgp:P2008)
- sample (orkgp:P20080)
- evaluate-on (orkgp:P20081)
- follow (orkgp:P20082)
- consists (orkgp:P20083)
- Two sentence-level classification tasks (orkgp:P20084)
- Three sentence-pair similarity tasks (orkgp:P20085)
- Four natural language inference tasks (orkgp:P20086)
- reimplemented (orkgp:P20087)
- include (orkgp:P20088)
- take (orkgp:P20089)
- retain beta hyperparameters (orkgp:P20090)
- has decoupled weight decay (orkgp:P20091)
- keep (orkgp:P20092)
- deviate from the optimization (orkgp:P20093)
- uses a batch size (orkgp:P20094)
- done on (orkgp:P20095)
- took (orkgp:P20096)
- Fine-tuning is implemented based on (orkgp:P20097)
- has description (orkgp:P20098)
- Per-Task Results (orkgp:P20099)
- exceeds (orkgp:P20100)
- improves considerably (orkgp:P20101)
- substantially improves (orkgp:P20102)
- yields smaller improvements (orkgp:P20103)
- gains (orkgp:P20104)
- develop (orkgp:P20105)
- transforms (orkgp:P20106)
- has basic components (orkgp:P20107)
- are (orkgp:P20108)
- composed of (orkgp:P20109)
- consists of three types of layers (orkgp:P20110)
- transform (orkgp:P20111)
- train (orkgp:P20112)
- integrate (orkgp:P20113)
- has two tasks (orkgp:P20114)
- introduces (orkgp:P20115)
- surpasses (orkgp:P20116)
- obtains (orkgp:P20117)
- consider (orkgp:P20118)
- on (orkgp:P20119)
- for (orkgp:P20120)
- to learn a function (orkgp:P20122)
- investigate (orkgp:P20123)
- show (orkgp:P20124)
- present (orkgp:P20125)
- experiment with (orkgp:P20126)
- added (orkgp:P20127)
- Augment (orkgp:P20128)
- Maxpooling (orkgp:P20129)
- concatenate (orkgp:P20130)
- concatenation (orkgp:P20131)
- perform (orkgp:P20132)
- Transformer Architecture (orkgp:P20133)
- Weight Initialization (orkgp:P20134)
- Post Transformer Layer (orkgp:P20135)
- Training Epochs (orkgp:P20136)
- Learning Rate (supervised) (orkgp:P20137)
- Batch Size (supervised) (orkgp:P20138)
- Learning Rate (few shot) (orkgp:P20139)
- Batch Size (few shot) (orkgp:P20140)
- adding positional information in the input (orkgp:P20141)
- Aim (orkgp:P20142)
- determine (orkgp:P20143)
- Learning rate (orkgp:P20145)
- Batch size (orkgp:P20146)
- Number of steps (orkgp:P20147)
- Relation representation (orkgp:P20148)
- increase (orkgp:P20149)
- very significant (orkgp:P20150)
- Report (orkgp:P20151)
- initializing (orkgp:P20152)
- Use (orkgp:P20153)
- is (orkgp:P20156)
- Max sentence length (orkgp:P20157)
- Adam learning rate (orkgp:P20158)
- Number of epochs (orkgp:P20159)
- Dropout rate (orkgp:P20160)
- compare our method, R-BERT, against (orkgp:P20161)
- beats (orkgp:P20162)
- MACRO F1 value (orkgp:P20163)
- create (orkgp:P20164)
- discard (orkgp:P20165)
- observe (orkgp:P20166)
- perform (orkgp:P20167)
- demonstrates (orkgp:P20168)
- is (orkgp:P20169)
- repeatedly encodes (orkgp:P20170)
- consisting of (orkgp:P20171)
- via (orkgp:P20172)
- to learn (orkgp:P20173)
- Reuse (orkgp:P20174)
- trained-on (orkgp:P20175)
- after pre-training (orkgp:P20176)
- use (orkgp:P20177)
- rate (orkgp:P20178)
- encodes (orkgp:P20179)
- tokenize input text (orkgp:P20180)
- creates (orkgp:P20181)
- iteratively merges (orkgp:P20182)
- requires (orkgp:P20183)
- add (orkgp:P20184)
- bias (orkgp:P20185)
- on (orkgp:P20186)
- TACRED dataset (orkgp:P20187)
- SemEval 2010 Task 8 dataset (orkgp:P20188)
- establishing (orkgp:P20189)
- according to external source (not stated in paper) (orkgp:P20190)
- has nucleotide substitution (orkgp:P20192)
- compared to (orkgp:P20193)
- has NCBI Reference Sequence accession number (orkgp:P20194)
- programming language (orkgp:P21)
- has company (orkgp:P21000)
- has SARS-CoV-2 reference genome (orkgp:P21001)
- differs to the NC_045512 reference genome (orkgp:P21002)
- environment (orkgp:P22)
- pant presence or action (orkgp:P22000)
- type of data for model development (orkgp:P22001)
- ntry (orkgp:P22002)
- limate zone (köppen-geiger) (orkgp:P22003)
- intended (orkgp:P22004)
- type of building (orkgp:P22005)
- n of months (orkgp:P22006)
- predictors/devices (orkgp:P22007)
- rule-based models: schedule/profile (orkgp:P22008)
- rule-based models: other (orkgp:P22009)
- stochastic opa models: general/generalized linear model (orkgp:P22010)
- stochastic opa models: generalized linear mixed models (orkgp:P22011)
- stochastic opa models: linear mixed models (orkgp:P22012)
- stochastic opa models: linear time series model (orkgp:P22013)
- stochastic opa models: markov chain model (orkgp:P22014)
- stochastic opa models: agent-based model (orkgp:P22015)
- stochastic opa models: survival analysis (orkgp:P22016)
- stochastic opa models: probit analysis (orkgp:P22017)
- stochastic opa models: gaussian process (orkgp:P22018)
- stochastic opa models: bayesian network model (orkgp:P22019)
- stochastic opa models: decision tree model (orkgp:P22020)
- stochastic opa models: logit analysis (orkgp:P22021)
- stochastic opa models: hierarchical clustering model (orkgp:P22022)
- stochastic opa models: levy process (orkgp:P22023)
- stochastic opa models: monte carlo method (orkgp:P22024)
- stochastic opa models: poisson process (orkgp:P22025)
- stochastic opa models: bernoulli process (orkgp:P22026)
- stochastic opa models: hybrid model (orkgp:P22027)
- stochastic opa models: entropic-probabilistic approach (orkgp:P22028)
- stochastic opa models: other (orkgp:P22029)
- data-driven models: agglomerative hierarchical clustering (orkgp:P22030)
- data-driven models: random forest (orkgp:P22031)
- data-driven models: support vector regression (orkgp:P22032)
- data-driven models: support vector machine (orkgp:P22033)
- data-driven models: gradient boosting (orkgp:P22034)
- data-driven models: regularized logistic regression (orkgp:P22035)
- data-driven models: linear regression (orkgp:P22036)
- data-driven models: decision tree (orkgp:P22037)
- data-driven models: apriori (orkgp:P22038)
- data-driven models: density estimation (orkgp:P22039)
- data-driven models: k-means or k-medians (orkgp:P22040)
- data-driven models: bootstrap aggregation (orkgp:P22041)
- data-driven models: neural networks (orkgp:P22042)
- data-driven models: multilayer perceptron (orkgp:P22043)
- data-driven models: naive bayes (orkgp:P22044)
- data-driven models: nearest neighbour (orkgp:P22045)
- data-driven models: gaussian mixture (orkgp:P22046)
- data-driven models: hidden markov model (orkgp:P22047)
- data-driven models: arma, arima, etc.. (orkgp:P22048)
- data-driven models: multi-layer perceptron (orkgp:P22049)
- data-driven models: genetic algorithm (orkgp:P22050)
- data-driven models: fuzzy logic (orkgp:P22051)
- data-driven models: pedestrian dead reckoning (orkgp:P22052)
- data-driven models: bayesian network model (orkgp:P22053)
- optimization based on the defined objective function (orkgp:P22054)
- data-driven models: other (orkgp:P22055)
- ity (orkgp:P22056)
- dimension of the sample (n. of rooms, buildings etc.) (orkgp:P22057)
- start period
(gg/mm/aaaa) (orkgp:P22058)
- end period
(gg/mm/aaaa) (orkgp:P22059)
- software for consensus sequence generation (orkgp:P22060)
- defines (orkgp:P23)
- have nucleotide differences (orkgp:P23000)
- has numerical value (orkgp:P23001)
- has qualifier (orkgp:P23002)
- has international travel (orkgp:P23005)
- has countries (orkgp:P23006)
- Examples (orkgp:P23007)
- Used to (orkgp:P23008)
- Supports (orkgp:P23009)
- Total (Symptomatic cases-67% of all infected cases) (orkgp:P23012)
- Proportion of population (Symptomatic cases-67% of all infected cases) (orkgp:P23013)
- Peak week for incidence (Symptomatic cases-67% of all infected cases) (orkgp:P23014)
- Peak month for incidence (Symptomatic cases-67% of all infected cases) (orkgp:P23015)
- Number of sick people on the worst day of the simulated year (Symptomatic cases-67% of all infected cases) (orkgp:P23016)
- Proportion of population sick on the worst day (Symptomatic cases-67% of all infected cases) (orkgp:P23017)
- Total (Consultations-40% of symptomatic cases seek consultations, possibly mainly telephone/internet) (orkgp:P23018)
- Proportion of population (Consultations-40% of symptomatic cases seek consultations, possibly mainly telephone/internet) (orkgp:P23019)
- Total (Severe cases likely to require hospitalisation-1.0% of symptomatic cases) (orkgp:P23020)
- Proportion of population (Severe cases likely to require hospitalisation-1.0% of symptomatic cases) (orkgp:P23021)
- Number of people in hospital on the worst day-if capacity existed (Severe cases likely to require hospitalisation-1.0% of symptomatic cases) (orkgp:P23022)
- Proportion of population in hospital on the worst day (Severe cases likely to require hospitalisation-1.0% of symptomatic cases) (orkgp:P23023)
- Total (Cases likely to require ICU-25% of hospitalised cases) (orkgp:P23024)
- People in ICU on the peak day-if capacities exist (Cases likely to require ICU-25% of hospitalised cases) (orkgp:P23025)
- Total (Cases likely to require ventilation in ICU-50% of those in ICU) (orkgp:P23026)
- Total Deaths (orkgp:P23027)
- Proportion of population (Deaths) (orkgp:P23028)
- Biography (orkgp:P23030)
- has software (orkgp:P23031)
- has amino acid change (orkgp:P23032)
- pre-training and fine-tuning (orkgp:P23033)
- initialize (orkgp:P23034)
- pre-trained (orkgp:P23035)
- on (orkgp:P23036)
- with (orkgp:P23037)
- for (orkgp:P23038)
- used (orkgp:P23039)
- pre-trained for (orkgp:P23040)
- pre-trained on (orkgp:P23041)
- to (orkgp:P23042)
- outperformed (orkgp:P23043)
- in terms of (orkgp:P23044)
- RE results (orkgp:P23045)
- QA results (orkgp:P23046)
- obtained (orkgp:P23047)
- significantly outperformed (orkgp:P23048)
- of (orkgp:P23049)
- achieved (orkgp:P23050)
- tune (orkgp:P23051)
- Size of Word Embeddings (orkgp:P23052)
- Number of Heads (orkgp:P23053)
- Size of Hidden Layer (orkgp:P23054)
- Size of Position Embeddings (orkgp:P23055)
- Size of Attention Layer (orkgp:P23056)
- Number of Latent Entity Types (orkgp:P23057)
- Size of Mini-Batch (orkgp:P23058)
- Initial Learning Rate (orkgp:P23059)
- for (orkgp:P23060)
- L2 Regularization Coefficient (orkgp:P23061)
- from (orkgp:P23062)
- F1-score (orkgp:P23063)
- except (orkgp:P23064)
- incorporate (orkgp:P23065)
- with (orkgp:P23066)
- mixture of (orkgp:P23067)
- to (orkgp:P23068)
- takes into account (orkgp:P23069)
- optimize (orkgp:P23070)
- higher NER and RC scores (orkgp:P23071)
- than (orkgp:P23072)
- higher EC and RC scores (orkgp:P23073)
- on (orkgp:P23074)
- provide (orkgp:P23075)
- train (orkgp:P23076)
- find (orkgp:P23077)
- with (orkgp:P23079)
- to make (orkgp:P23080)
- to remove (orkgp:P23081)
- compare with (orkgp:P23082)
- competitive sequence model (orkgp:P23083)
- on (orkgp:P23084)
- by (orkgp:P23085)
- further outperforms (orkgp:P23086)
- improves upon other dependency-based models (orkgp:P23087)
- comparing C-GCN model with the GCN model (orkgp:P23088)
- compared to the PA-LSTM (orkgp:P23089)
- with-entity evaluation (orkgp:P23090)
- incorporating off-path information (orkgp:P23091)
- mask-entity evaluation (orkgp:P23092)
- effect (orkgp:P23093)
- when (orkgp:P23094)
- when K = 1 (orkgp:P23095)
- outperforming (orkgp:P23096)
- confirms our hypothesis (orkgp:P23097)
- indicating (orkgp:P23098)
- contextualizing (orkgp:P23099)
- makes it (orkgp:P23100)
- from (orkgp:P23101)
- removing (orkgp:P23102)
- Reviews (orkgp:P23103)
- Number (orkgp:P23104)
- Located in (orkgp:P23105)
- Exists at (orkgp:P23106)
- Infectious agent population (orkgp:P23107)
- Study design (orkgp:P23109)
- Blinding of outcome assessment (orkgp:P23110)
- Randomization (orkgp:P23111)
- allocation concealment (orkgp:P23112)
- Incomplete outcome data (orkgp:P23113)
- Selective reporting (orkgp:P23114)
- other sources of bias (orkgp:P23115)
- Disease definitions (characterization) (orkgp:P23116)
- Study groups (orkgp:P23117)
- AED evaluated (orkgp:P23118)
- 2nd AED (orkgp:P23119)
- 3rd AED (orkgp:P23120)
- 4th AED (orkgp:P23121)
- No of cats (orkgp:P23122)
- Period of treatment or follow-up (months) (orkgp:P23123)
- Prevalence of adverse effects (orkgp:P23124)
- 95% CI of cases that developed adverse effects (orkgp:P23125)
- Body system affected and adverse effects (orkgp:P23126)
- Most common adverse effects (orkgp:P23127)
- Adverse effect type (orkgp:P23128)
- Age of cats at seizure onset (years) (orkgp:P23129)
- Dose of AED(s) (mg/ kg) (orkgp:P23130)
- Serum levels of AED(s) (orkgp:P23131)
- Pre-treatment SF (seizures/ month or year) (orkgp:P23132)
- Post- treatment SF (seizures/ month or year) (orkgp:P23133)
- No of cats that were failures (orkgp:P23134)
- No of cats with >0% - <50% reduction in SF (orkgp:P23135)
- No of cats with ≥50% - <100% reduction in SF (orkgp:P23136)
- No of cats with 100% reduction in SF (orkgp:P23137)
- 95% CI of successfully treated cases (orkgp:P23138)
- Type (orkgp:P23139)
- Basic reproduction number (orkgp:P23140)
- due to (orkgp:P23141)
- Confidence interval (95%) (orkgp:P23142)
- Range of values (orkgp:P23146)
- Condition (orkgp:P23147)
- Data validity condition (orkgp:P23148)
- Duration (orkgp:P23149)
- Participants' characteristics (of which viral agents were sequenced) (orkgp:P23150)
- patient characteristics (orkgp:P23151)
- Depressive disorder (orkgp:P23152)
- Age mean (SD) (orkgp:P23153)
- % Female (orkgp:P23154)
- % White (orkgp:P23155)
- Setting (orkgp:P23156)
- Recruitment (orkgp:P23157)
- Most distal followup (orkgp:P23158)
- Depression outcomes (sources) (orkgp:P23159)
- Quality (orkgp:P23160)
- Population/Procedure, Sample size (orkgp:P23161)
- Intervention Group(s) (orkgp:P23162)
- Interventionist (orkgp:P23163)
- Study design (orkgp:P23164)
- Construct (orkgp:P23165)
- Measurement, Rater (orkgp:P23166)
- Significant Results (orkgp:P23167)
- Nonsignificant Results (orkgp:P23168)
- N (orkgp:P23169)
- Clients (orkgp:P23170)
- Setting (orkgp:P23171)
- Intervention (protocol) (orkgp:P23172)
- Design (orkgp:P23173)
- Primary outcomes (orkgp:P23174)
- Qualitative findings (orkgp:P23175)
- field (orkgp:P24)
- Platform type (orkgp:P24000)
- Scalability (orkgp:P24002)
- Data I/O Rate (orkgp:P24003)
- Real-time Processing (orkgp:P24005)
- Data Size Support (orkgp:P24006)
- Iterative Task Support (orkgp:P24007)
- Describes approach (orkgp:P24008)
- Has definition (orkgp:P24009)
- Uses metric (orkgp:P24010)
- placed in (orkgp:P24011)
- applicable in (orkgp:P24012)
- has goal (orkgp:P24013)
- requirements (orkgp:P24014)
- transient absorption:trapped holes (orkgp:P24015)
- transient absorption:trapped electrons (orkgp:P24016)
- conditions (orkgp:P24017)
- web site (orkgp:P25)
- Face features (orkgp:P25000)
- Weaknesses (orkgp:P25001)
- Problems (orkgp:P25002)
- Solutions (orkgp:P25003)
- Algorithm and Techniques (orkgp:P25004)
- chemical doping method (orkgp:P25005)
- doping elements (orkgp:P25006)
- precursors (orkgp:P25007)
- visible-light driven photocatalysis (orkgp:P25008)
- Niobate (orkgp:P25009)
- Co-Catalyst (orkgp:P25010)
- Light Source (orkgp:P25011)
- Sacrificial Reagent (orkgp:P25012)
- H2 Formation Rate (orkgp:P25013)
- Material (orkgp:P25014)
- Data (orkgp:P25015)
- Process (orkgp:P25016)
- Semiconductor (orkgp:P25017)
- H2 Rate (orkgp:P25018)
- Nb-Based Material (orkgp:P25019)
- Main Products (orkgp:P25020)
- Observed Rate (orkgp:P25021)
- Case fatality rate (orkgp:P25022)
- Material (orkgp:P25023)
- Data (orkgp:P25024)
- performs (orkgp:P25025)
- yielding (orkgp:P25026)
- with the exception (orkgp:P25027)
- out-performed by (orkgp:P25028)
- obtain (orkgp:P25029)
- When paired with (orkgp:P25030)
- performs on par with (orkgp:P25031)
- adding (orkgp:P25032)
- improves (orkgp:P25033)
- significantly outperforms (orkgp:P25034)
- including (orkgp:P25035)
- in (orkgp:P25036)
- to jointly model (orkgp:P25037)
- that only use (orkgp:P25038)
- indicates (orkgp:P25039)
- matches (orkgp:P25040)
- that use (orkgp:P25041)
- got (orkgp:P25042)
- among (orkgp:P25043)
- more effective than (orkgp:P25044)
- without using (orkgp:P25045)
- ( > 2 % ) (orkgp:P25046)
- slightly outperforms (orkgp:P25047)
- sets (orkgp:P25048)
- by gaining (orkgp:P25049)
- over (orkgp:P25050)
- with respect to (orkgp:P25051)
- achieve (orkgp:P25052)
- relies on (orkgp:P25053)
- achieving (orkgp:P25054)
- get (orkgp:P25055)
- already outperforms (orkgp:P25056)
- demonstrating the advantage of (orkgp:P25057)
- achieves slightly better performance than (orkgp:P25058)
- Data used (orkgp:P25059)
- Language/domain (orkgp:P25060)
- NEs found (orkgp:P25061)
- Technique used (orkgp:P25062)
- Dataset used (orkgp:P25063)
- Evaluation results (orkgp:P25064)
- Has subfields (orkgp:P25065)
- Gatherable information (orkgp:P25066)
- Concept (orkgp:P25067)
- Authors recommend (orkgp:P25069)
- Answer (orkgp:P25070)
- Has characteristics (orkgp:P25071)
- Attributes (orkgp:P25072)
- Retinal Dissease (orkgp:P25073)
- Learning approach (orkgp:P25074)
- doi (orkgp:P26)
- total cases worldwide (orkgp:P26001)
- Global Mean Sea level Rise Projection (orkgp:P26002)
- has lower limit for likely range (orkgp:P26005)
- has upper limit for likely range (orkgp:P26006)
- has start of period (orkgp:P26007)
- has end of period (orkgp:P26008)
- climate scenario (orkgp:P26009)
- Has prognostic ocean variable (orkgp:P26010)
- has ocean result (orkgp:P26011)
- Ocean model family (orkgp:P26012)
- Ocean vertical physics (orkgp:P26013)
- has horizontal ocean model resolution (orkgp:P26014)
- Has ocean model documantation (orkgp:P26015)
- Atmosphere Model Basic Approximations (orkgp:P26016)
- Dynamical core of atmosphere model (orkgp:P26017)
- has atmosphere model name (orkgp:P26018)
- has results in atmosphere (orkgp:P26019)
- Atmosphere model family (orkgp:P26020)
- Has sea ice model name (orkgp:P26021)
- Has results for sea ice (orkgp:P26022)
- Has land surface model name (orkgp:P26023)
- Has prognostic land surface model variable (orkgp:P26024)
- has land surface model documentation (orkgp:P26025)
- Has aerosol model documentation (orkgp:P26026)
- Has aerosol model scheme (orkgp:P26027)
- Has prognostic sea ice model variable (orkgp:P26028)
- Has atmosphere model documentation (orkgp:P26029)
- Has horizontal atmosphere model resolution (orkgp:P26030)
- Has results in the ocean (orkgp:P26031)
- Has prognostic atmosphere model variable (orkgp:P26032)
- Has atmosphere model version (orkgp:P26033)
- Has ocean model name (orkgp:P26034)
- Has horizontal ocean model discretisation (orkgp:P26035)
- Has ocean model version (orkgp:P26036)
- Has sea ice model documentation (orkgp:P26037)
- Has sea ice model version (orkgp:P26038)
- Has horizontal atmosphere model descretisation (orkgp:P26039)
- Land surface model basic approximations (orkgp:P26040)
- Ocean model basic approximations (orkgp:P26041)
- Sea ice model basic approximations (orkgp:P26042)
- Atmospheric Chemistry Basic Approximations (orkgp:P26043)
- has prognostic atmospheric chemistry variable (orkgp:P26044)
- Has gamma (orkgp:P26046)
- author (orkgp:P27)
- Libraries (orkgp:P27002)
- Evacuation Strategies (orkgp:P27003)
- Study category (orkgp:P27005)
- Experimental details (orkgp:P27006)
- Variables that resulted in significant effects (orkgp:P27007)
- Statistics used (orkgp:P27008)
- Variables that resulted in non-significant effects (orkgp:P27009)
- Effect size (orkgp:P27010)
- dependent variable (orkgp:P27011)
- Has independent variable (orkgp:P27012)
- Has number of votes (orkgp:P27013)
- Has participants (orkgp:P27014)
- Length (orkgp:P27017)
- Days (orkgp:P27018)
- Study type (orkgp:P27019)
- Type of buildings (orkgp:P27020)
- Building systems (orkgp:P27021)
- Study location (orkgp:P27022)
- % of female (orkgp:P27023)
- Number of participants (orkgp:P27024)
- HVAC type (orkgp:P27027)
- Lighting type (orkgp:P27028)
- Region of data collection (orkgp:P27029)
- Continent (orkgp:P27030)
- Estimated value (orkgp:P27031)
- Observed value (orkgp:P27032)
- Growth rate (orkgp:P27033)
- Organism (orkgp:P27034)
- Wavelength (λex) (orkgp:P27036)
- Material (orkgp:P27037)
- Data (orkgp:P27038)
- Data (orkgp:P27040)
- Method (orkgp:P27041)
- Process (orkgp:P27042)
- Pulse duration (orkgp:P27044)
- Energy (orkgp:P27045)
- Research Infrastructure (orkgp:P27046)
- API support (orkgp:P27047)
- Books (orkgp:P27048)
- Chapters (orkgp:P27049)
- Journals (orkgp:P27050)
- Patents (orkgp:P27051)
- Persons (orkgp:P27052)
- Conferences (orkgp:P27053)
- Institutioans (orkgp:P27054)
- Publications (orkgp:P27055)
- Topics (orkgp:P27056)
- Radiant energy (orkgp:P27058)
- Radiant exposure (orkgp:P27059)
- ID (orkgp:P27060)
- publication month (orkgp:P28)
- problem statement (orkgp:P28001)
- month (orkgp:P28003)
- has layer (orkgp:P28005)
- responsible for (orkgp:P28006)
- has Wikipedia description (orkgp:P28007)
- Total Cases (orkgp:P28008)
- publication year (orkgp:P29)
- Material (orkgp:P29001)
- Data (orkgp:P29002)
- Process (orkgp:P29003)
- has capabilities (orkgp:P29004)
- PubChemAID (orkgp:P29005)
- has assay footprint (orkgp:P29006)
- assay measurement type (orkgp:P29007)
- uses detection instrument (orkgp:P29008)
- has mode of action (orkgp:P29009)
- stand (orkgp:P29010)
- Measure of species similarity (orkgp:P29011)
- Measure of invasion success (orkgp:P29012)
- Has hypothesis (orkgp:P29013)
- R51465 (orkgp:P29016)
- R51467 (orkgp:P29017)
- R51469 (orkgp:P29018)
- R51471 (orkgp:P29019)
- R51473 (orkgp:P29020)
- R51475 (orkgp:P29021)
- R51477 (orkgp:P29022)
- R51479 (orkgp:P29023)
- R51481 (orkgp:P29024)
- has roles (orkgp:P29025)
- R51527 (orkgp:P29042)
- R51529 (orkgp:P29043)
- R51531 (orkgp:P29044)
- R51533 (orkgp:P29045)
- R51535 (orkgp:P29046)
- R51537 (orkgp:P29047)
- R51539 (orkgp:P29048)
- R51541 (orkgp:P29049)
- is a (orkgp:P3)
- research field (orkgp:P30)
- keywords (orkgp:P3000)
- paper:puplication_year (orkgp:P30000)
- hypothesis (orkgp:P30001)
- stand of hypothesis (orkgp:P30002)
- number of plant species (orkgp:P30003)
- type of experiment (orkgp:P30004)
- Produced by (orkgp:P30005)
- Has participating device (orkgp:P30006)
- Has solution sample input (orkgp:P30009)
- Feature extraction (orkgp:P3001)
- Has solid sample input (orkgp:P30010)
- Has radiant energy input (orkgp:P30011)
- Has output (orkgp:P30012)
- Has component type (orkgp:P30013)
- pH (orkgp:P30016)
- Role (orkgp:P30017)
- Particle size range (orkgp:P30018)
- Wavelength of maximum absorption (orkgp:P30019)
- Feature selection (orkgp:P3002)
- Duration of absorption process (orkgp:P30020)
- Half time for charge recombination (t1/2) (orkgp:P30021)
- Time duration (orkgp:P30022)
- Related Comparisons (orkgp:P30023)
- has params (orkgp:P30024)
- uses pipeline (orkgp:P30025)
- hasMetaVisualizationDefinition (orkgp:P30027)
- Classification (orkgp:P3003)
- precision (orkgp:P3004)
- Sensitivity (orkgp:P3005)
- Specificity (orkgp:P3006)
- propose (orkgp:P3007)
- contribution (orkgp:P31)
- appraoch (orkgp:P31000)
- paper:Study date (orkgp:P31001)
- Measure of species relationship (orkgp:P31002)
- Non-plant species (orkgp:P31003)
- Number of non-plant species (orkgp:P31004)
- Habitat (orkgp:P31005)
- WOS search or Cited references (orkgp:P31006)
- Non-plant species (orkgp:P31007)
- Non-plant species (orkgp:P31008)
- Non-plant species (orkgp:P31009)
- Non-plant species (orkgp:P31010)
- Non-plant species (orkgp:P31011)
- Non-plant species (orkgp:P31012)
- Non-plant species (orkgp:P31013)
- Non-plant species (orkgp:P31014)
- Non-plant species (orkgp:P31015)
- Non-plant species (orkgp:P31016)
- Non-plant species (orkgp:P31017)
- Non-plant species (orkgp:P31018)
- Non-plant species (orkgp:P31019)
- Non-plant species (orkgp:P31020)
- Non-plant species (orkgp:P31021)
- Non-plant species (orkgp:P31022)
- Investigated species (orkgp:P31023)
- Number of species (orkgp:P31024)
- research problem (orkgp:P32)
- Phenotypic plasticity form (orkgp:P32000)
- Specific traits (orkgp:P32001)
- Species name (orkgp:P32002)
- Phenotypic plasticity form (orkgp:P32003)
- Phenotypic plasticity form (orkgp:P32004)
- Phenotypic plasticity form (orkgp:P32005)
- Phenotypic plasticity form (orkgp:P32006)
- Phenotypic plasticity form (orkgp:P32007)
- Phenotypic plasticity form (orkgp:P32008)
- Phenotypic plasticity form (orkgp:P32009)
- Phenotypic plasticity form (orkgp:P32010)
- Phenotypic plasticity form (orkgp:P32011)
- Phenotypic plasticity form (orkgp:P32012)
- Phenotypic plasticity form (orkgp:P32013)
- Phenotypic plasticity form (orkgp:P32014)
- Phenotypic plasticity form (orkgp:P32015)
- Phenotypic plasticity form (orkgp:P32016)
- Phenotypic plasticity form (orkgp:P32017)
- Phenotypic plasticity form (orkgp:P32018)
- Phenotypic plasticity form (orkgp:P32019)
- Phenotypic plasticity form (orkgp:P32020)
- Phenotypic plasticity form (orkgp:P32021)
- Phenotypic plasticity form (orkgp:P32022)
- Phenotypic plasticity form (orkgp:P32023)
- Phenotypic plasticity form (orkgp:P32024)
- Phenotypic plasticity form (orkgp:P32025)
- Phenotypic plasticity form (orkgp:P32026)
- Phenotypic plasticity form (orkgp:P32027)
- Phenotypic plasticity form (orkgp:P32028)
- Phenotypic plasticity form (orkgp:P32029)
- Phenotypic plasticity form (orkgp:P32030)
- Phenotypic plasticity form (orkgp:P32031)
- Phenotypic plasticity form (orkgp:P32032)
- Phenotypic plasticity form (orkgp:P32033)
- Phenotypic plasticity form (orkgp:P32034)
- Phenotypic plasticity form (orkgp:P32035)
- Phenotypic plasticity form (orkgp:P32036)
- Phenotypic plasticity form (orkgp:P32037)
- Phenotypic plasticity form (orkgp:P32038)
- Phenotypic plasticity form (orkgp:P32039)
- Phenotypic plasticity form (orkgp:P32040)
- Phenotypic plasticity form (orkgp:P32041)
- Phenotypic plasticity form (orkgp:P32042)
- Phenotypic plasticity form (orkgp:P32043)
- Phenotypic plasticity form (orkgp:P32044)
- Phenotypic plasticity form (orkgp:P32045)
- Phenotypic plasticity form (orkgp:P32046)
- Phenotypic plasticity form (orkgp:P32047)
- Phenotypic plasticity form (orkgp:P32048)
- Phenotypic plasticity form (orkgp:P32049)
- Phenotypic plasticity form (orkgp:P32050)
- Phenotypic plasticity form (orkgp:P32051)
- Phenotypic plasticity form (orkgp:P32052)
- Phenotypic plasticity form (orkgp:P32053)
- Phenotypic plasticity form (orkgp:P32054)
- Phenotypic plasticity form (orkgp:P32055)
- Phenotypic plasticity form (orkgp:P32056)
- Phenotypic plasticity form (orkgp:P32057)
- Phenotypic plasticity form (orkgp:P32058)
- Phenotypic plasticity form (orkgp:P32059)
- Phenotypic plasticity form (orkgp:P32060)
- Phenotypic plasticity form (orkgp:P32061)
- Phenotypic plasticity form (orkgp:P32062)
- Phenotypic plasticity form (orkgp:P32063)
- Phenotypic plasticity form (orkgp:P32064)
- Phenotypic plasticity form (orkgp:P32065)
- Phenotypic plasticity form (orkgp:P32066)
- Phenotypic plasticity form (orkgp:P32067)
- Phenotypic plasticity form (orkgp:P32068)
- Phenotypic plasticity form (orkgp:P32069)
- Phenotypic plasticity form (orkgp:P32070)
- Phenotypic plasticity form (orkgp:P32071)
- Phenotypic plasticity form (orkgp:P32072)
- Phenotypic plasticity form (orkgp:P32073)
- Phenotypic plasticity form (orkgp:P32074)
- Phenotypic plasticity form (orkgp:P32075)
- Phenotypic plasticity form (orkgp:P32076)
- Phenotypic plasticity form (orkgp:P32077)
- Phenotypic plasticity form (orkgp:P32078)
- Phenotypic plasticity form (orkgp:P32079)
- Phenotypic plasticity form (orkgp:P32080)
- Phenotypic plasticity form (orkgp:P32081)
- Phenotypic plasticity form (orkgp:P32082)
- Phenotypic plasticity form (orkgp:P32083)
- Phenotypic plasticity form (orkgp:P32084)
- Phenotypic plasticity form (orkgp:P32085)
- Phenotypic plasticity form (orkgp:P32086)
- Phenotypic plasticity form (orkgp:P32087)
- Phenotypic plasticity form (orkgp:P32088)
- Phenotypic plasticity form (orkgp:P32089)
- Phenotypic plasticity form (orkgp:P32090)
- Phenotypic plasticity form (orkgp:P32091)
- Phenotypic plasticity form (orkgp:P32092)
- Phenotypic plasticity form (orkgp:P32093)
- Phenotypic plasticity form (orkgp:P32094)
- Phenotypic plasticity form (orkgp:P32095)
- Phenotypic plasticity form (orkgp:P32096)
- Phenotypic plasticity form (orkgp:P32097)
- Phenotypic plasticity form (orkgp:P32098)
- Phenotypic plasticity form (orkgp:P32099)
- Phenotypic plasticity form (orkgp:P32100)
- Phenotypic plasticity form (orkgp:P32101)
- Phenotypic plasticity form (orkgp:P32102)
- Phenotypic plasticity form (orkgp:P32103)
- Phenotypic plasticity form (orkgp:P32104)
- Phenotypic plasticity form (orkgp:P32105)
- Phenotypic plasticity form (orkgp:P32106)
- Phenotypic plasticity form (orkgp:P32107)
- Phenotypic plasticity form (orkgp:P32108)
- Phenotypic plasticity form (orkgp:P32109)
- Phenotypic plasticity form (orkgp:P32110)
- Phenotypic plasticity form (orkgp:P32111)
- Phenotypic plasticity form (orkgp:P32112)
- Phenotypic plasticity form (orkgp:P32113)
- Phenotypic plasticity form (orkgp:P32114)
- Phenotypic plasticity form (orkgp:P32115)
- Phenotypic plasticity form (orkgp:P32116)
- Measure of disturbance (orkgp:P32117)
- Type of disturbance (orkgp:P32118)
- Direct anthropogenic dist.? (orkgp:P32119)
- Global and annual mean surface air temperature (orkgp:P32121)
- Measure of propagule pressure (orkgp:P32122)
- Has TCR result (orkgp:P32123)
- Has ECS result (orkgp:P32124)
- approach (orkgp:P33)
- Format (orkgp:P33001)
- Features/improvement (orkgp:P33002)
- References (orkgp:P33004)
- Measure of resistance/susceptibility (orkgp:P33006)
- Type of interaction (orkgp:P33008)
- Type of effect description (orkgp:P33009)
- Ecological Level of evidence (orkgp:P33010)
- Outcome of interaction (orkgp:P33011)
- Transition in the invasion process (orkgp:P33012)
- Observed proportion of species making the transition (orkgp:P33013)
- Measure of native biodiversity (orkgp:P33014)
- New data sources (orkgp:P33015)
- Data Storage (orkgp:P33016)
- Data Access (orkgp:P33017)
- Offer functions (orkgp:P33018)
- Recent Developement (orkgp:P33020)
- Important aspects to consider (orkgp:P33021)
- Relevance (orkgp:P33024)
- has_method (orkgp:P33025)
- HAS_RESULTS (orkgp:P33030)
- Sub-hypothesis (orkgp:P33036)
- Which species are compared? (orkgp:P33037)
- Indicator for enemy release (orkgp:P33038)
- Release of which kind of enemies? (orkgp:P33039)
- paper:DOI (orkgp:P33040)
- R58162 (orkgp:P33041)
- R58164 (orkgp:P33042)
- R58166 (orkgp:P33043)
- R58168 (orkgp:P33044)
- R58170 (orkgp:P33045)
- R58172 (orkgp:P33046)
- R58174 (orkgp:P33047)
- R58176 (orkgp:P33048)
- R58178 (orkgp:P33049)
- R58180 (orkgp:P33050)
- R59704 (orkgp:P33051)
- R59706 (orkgp:P33052)
- R59708 (orkgp:P33053)
- R59710 (orkgp:P33054)
- R59712 (orkgp:P33055)
- R59714 (orkgp:P33056)
- R59716 (orkgp:P33057)
- R59718 (orkgp:P33058)
- R59720 (orkgp:P33059)
- R59722 (orkgp:P33060)
- R59724 (orkgp:P33061)
- R59726 (orkgp:P33062)
- R59759 (orkgp:P33063)
- R59761 (orkgp:P33064)
- R59763 (orkgp:P33065)
- R59765 (orkgp:P33066)
- R59767 (orkgp:P33067)
- R59769 (orkgp:P33068)
- R59771 (orkgp:P33069)
- R59773 (orkgp:P33070)
- R59775 (orkgp:P33071)
- R59777 (orkgp:P33072)
- R59779 (orkgp:P33073)
- R59781 (orkgp:P33074)
- R59833 (orkgp:P33075)
- R59835 (orkgp:P33076)
- R59837 (orkgp:P33077)
- R59839 (orkgp:P33078)
- R59841 (orkgp:P33079)
- R59843 (orkgp:P33080)
- R59845 (orkgp:P33081)
- R59847 (orkgp:P33082)
- R59849 (orkgp:P33083)
- R59851 (orkgp:P33084)
- R59853 (orkgp:P33085)
- R59855 (orkgp:P33086)
- R59857 (orkgp:P33087)
- R59859 (orkgp:P33088)
- R59861 (orkgp:P33089)
- R59922 (orkgp:P33090)
- R59924 (orkgp:P33091)
- R59926 (orkgp:P33092)
- R59928 (orkgp:P33093)
- R59930 (orkgp:P33094)
- R59932 (orkgp:P33095)
- R59934 (orkgp:P33096)
- R59936 (orkgp:P33097)
- R59938 (orkgp:P33098)
- R59940 (orkgp:P33099)
- R59942 (orkgp:P33100)
- R59944 (orkgp:P33101)
- R59996 (orkgp:P33102)
- R59998 (orkgp:P33103)
- R60000 (orkgp:P33104)
- R60002 (orkgp:P33105)
- R60004 (orkgp:P33106)
- R60006 (orkgp:P33107)
- R60008 (orkgp:P33108)
- R60010 (orkgp:P33109)
- R60012 (orkgp:P33110)
- R60014 (orkgp:P33111)
- R60016 (orkgp:P33112)
- R60018 (orkgp:P33113)
- R60079 (orkgp:P33114)
- R60081 (orkgp:P33115)
- R60083 (orkgp:P33116)
- R60085 (orkgp:P33117)
- R60087 (orkgp:P33118)
- R60089 (orkgp:P33119)
- R60091 (orkgp:P33120)
- R60093 (orkgp:P33121)
- R60095 (orkgp:P33122)
- R60097 (orkgp:P33123)
- R60099 (orkgp:P33124)
- R60101 (orkgp:P33125)
- R60103 (orkgp:P33126)
- R60105 (orkgp:P33127)
- R60107 (orkgp:P33128)
- R60168 (orkgp:P33129)
- R60170 (orkgp:P33130)
- R60172 (orkgp:P33131)
- R60174 (orkgp:P33132)
- R60176 (orkgp:P33133)
- R60178 (orkgp:P33134)
- R60180 (orkgp:P33135)
- R60182 (orkgp:P33136)
- R60184 (orkgp:P33137)
- R60186 (orkgp:P33138)
- R60188 (orkgp:P33139)
- R60190 (orkgp:P33140)
- R63786 (orkgp:P33141)
- R63788 (orkgp:P33142)
- R63790 (orkgp:P33143)
- R63792 (orkgp:P33144)
- R63794 (orkgp:P33145)
- R63796 (orkgp:P33146)
- R63798 (orkgp:P33147)
- R63800 (orkgp:P33148)
- R63802 (orkgp:P33149)
- R63804 (orkgp:P33150)
- R63806 (orkgp:P33151)
- R63808 (orkgp:P33152)
- Scaling type (orkgp:P33153)
- Data I/O Performance (orkgp:P33154)
- Data size supported (orkgp:P33155)
- evaluation (orkgp:P34)
- Relevant data (orkgp:P34000)
- Has trend (orkgp:P34001)
- Becoming a requirement for (orkgp:P34002)
- Knowledge derived from (orkgp:P34003)
- Important for (orkgp:P34004)
- Reason (orkgp:P34005)
- paper: authors (orkgp:P34006)
- has_host (orkgp:P34014)
- larval habit inside or outside of host (orkgp:P34015)
- tissue consumed by larvae (orkgp:P34016)
- state of host plant tissue at moment of consumption (orkgp:P34017)
- Foundation for integration of (orkgp:P34018)
- Potentially useful techniques (orkgp:P34019)
- Stakeholders (orkgp:P34020)
- Infection (orkgp:P34021)
- CI Tech (orkgp:P34022)
- NPV (orkgp:P34023)
- Material (orkgp:P34024)
- Data (orkgp:P34025)
- Process (orkgp:P34026)
- Method (orkgp:P34027)
- has lysine catabolic pathway type (orkgp:P34032)
- has toxin (orkgp:P34037)
- has target (orkgp:P34038)
- Gesellschaft zur Zeit der Konzeptentwicklung (orkgp:P34039)
- Staatsform zur Zeit der Konzeptentwicklung (orkgp:P34040)
- Soziale Arbeit als Institution (orkgp:P34041)
- gesellschaftliche Funktion Sozialer Arbeit (orkgp:P34042)
- Auftraggeber (orkgp:P34043)
- Funktion Sozialer Arbeit (orkgp:P34044)
- Adressat*innen (orkgp:P34045)
- Perspektive/Ziel Sozialer Arbeit (orkgp:P34046)
- Vergesellschaftungsprozess (orkgp:P34047)
- Ressourcen (orkgp:P34048)
- Definitionsmacht (orkgp:P34049)
- Macht von - Macht über (orkgp:P34050)
- Repräsentationsform (orkgp:P34051)
- Lebenslage Adressat*innen (orkgp:P34052)
- Lebenslage Sozialarbeiter*innen (orkgp:P34053)
- angestrebte Macht der Adressat*innen (orkgp:P34054)
- Ebene der Verhandlung (orkgp:P34055)
- Bewegungshintergrund (orkgp:P34056)
- number of papers (orkgp:P34059)
- Number of concepts (orkgp:P34060)
- Text coverage (orkgp:P34061)
- Concept types (orkgp:P34062)
- Dataset name (orkgp:P34063)
- Material (orkgp:P34065)
- Data (orkgp:P34066)
- Process (orkgp:P34067)
- Method (orkgp:P34068)
- Process (orkgp:P34069)
- Material (orkgp:P34070)
- Data (orkgp:P34071)
- Method (orkgp:P34072)
- Knowledge Graph Type (orkgp:P34075)
- Knowledge Graph Semantics (orkgp:P34076)
- Knowledge Graph Selection (orkgp:P34077)
- Reuse Of Knowledge Graph (orkgp:P34078)
- Number Of Knowledge Graphs (orkgp:P34079)
- Machine Learning Input (orkgp:P34080)
- Machine Learning Method (orkgp:P34081)
- Machine Learning Task (orkgp:P34082)
- Machine Learning Model Integration (orkgp:P34083)
- Explanation Form (orkgp:P34084)
- Explanation Type (orkgp:P34085)
- Explanation Interpretability (orkgp:P34086)
- do not incorporate (orkgp:P34087)
- above it (orkgp:P34088)
- constructs and labels (orkgp:P34089)
- To capture (orkgp:P34090)
- have (orkgp:P34091)
- used in (orkgp:P34092)
- dimensions (orkgp:P34093)
- updating (orkgp:P34094)
- gradient clipping (orkgp:P34095)
- Material (orkgp:P34097)
- about species (orkgp:P34098)
- Has information processing paradigm (orkgp:P34099)
- on research field (orkgp:P34100)
- analysis aspect (orkgp:P34101)
- Has Kaggle Competition (orkgp:P34102)
- Has benchmark (orkgp:P34103)
- Material (orkgp:P34108)
- Has lower limit for 95% confidence interval (orkgp:P34109)
- Has upper limit for 95% confidence interval (orkgp:P34110)
- Performance:Precision (orkgp:P34111)
- Performance:Sensitivity (orkgp:P34112)
- Performance:Specificity (orkgp:P34113)
- Performance:NPV (orkgp:P34114)
- Computational intelligence technologie (orkgp:P34115)
- AUROC (orkgp:P34116)
- AUCPR (orkgp:P34117)
- PPV (orkgp:P34118)
- C Statistic (orkgp:P34119)
- Goodness of fit: Loss (orkgp:P34120)
- Chi-Square (orkgp:P34121)
- NDCG (orkgp:P34122)
- R^2 (orkgp:P34123)
- Material (orkgp:P34125)
- Process (orkgp:P34126)
- Method (orkgp:P34127)
- R70803 (orkgp:P34128)
- R70805 (orkgp:P34129)
- R70807 (orkgp:P34130)
- R70809 (orkgp:P34131)
- R70811 (orkgp:P34132)
- R70821 (orkgp:P34133)
- R70823 (orkgp:P34134)
- R70825 (orkgp:P34135)
- DBMS (orkgp:P34136)
- Content (orkgp:P34137)
- Has web application (orkgp:P34138)
- Query language (orkgp:P34139)
- Results format (orkgp:P34140)
- Assay measurement type (orkgp:P34366)
- Has assay footprint (orkgp:P34367)
- Has assay format (orkgp:P34368)
- Has assay method (orkgp:P34369)
- Has assay phase characteristic (orkgp:P34370)
- Has assay title (orkgp:P34371)
- Has confirmatory assay (orkgp:P34372)
- Has endpoint (orkgp:P34373)
- Has incubation time value (orkgp:P34374)
- Assay measurement type (orkgp:P34492)
- Has assay footprint (orkgp:P34493)
- Has assay format (orkgp:P34494)
- Has assay method (orkgp:P34495)
- Has assay phase characteristic (orkgp:P34496)
- Has assay title (orkgp:P34497)
- Has confirmatory assay (orkgp:P34498)
- Has endpoint (orkgp:P34499)
- Has incubation time value (orkgp:P34500)
- Assay measurement type (orkgp:P34510)
- Has assay footprint (orkgp:P34511)
- Has assay format (orkgp:P34512)
- Has assay method (orkgp:P34513)
- Has assay phase characteristic (orkgp:P34514)
- Has assay title (orkgp:P34515)
- Has confirmatory assay (orkgp:P34516)
- Has endpoint (orkgp:P34517)
- Has incubation time value (orkgp:P34518)
- Assay measurement type (orkgp:P34527)
- Has assay footprint (orkgp:P34528)
- Has assay format (orkgp:P34529)
- Has assay method (orkgp:P34530)
- Has assay title (orkgp:P34531)
- Has confirmatory assay (orkgp:P34532)
- Has endpoint (orkgp:P34533)
- Has incubation time value (orkgp:P34534)
- Has assay method (orkgp:P34538)
- Has endpoint (orkgp:P34542)
- Material (orkgp:P34544)
- Data (orkgp:P34545)
- Material (orkgp:P34546)
- Data (orkgp:P34547)
- Material (orkgp:P34548)
- Data (orkgp:P34549)
- Material (orkgp:P34550)
- Data (orkgp:P34551)
- Material (orkgp:P34552)
- Data (orkgp:P34553)
- has cell line (orkgp:P34563)
- has preparation method (orkgp:P34564)
- has temperature unit (orkgp:P34587)
- Details (orkgp:P34589)
- Entity type (orkgp:P34590)
- provides API (orkgp:P34591)
- uses identifier system (orkgp:P34592)
- Mapping to other identifiers (orkgp:P34593)
- Number of entities (orkgp:P34594)
- Data dump (orkgp:P34595)
- Metadata schema (orkgp:P34596)
- provided services (orkgp:P34597)
- Used by (orkgp:P34598)
- Sentence Classifier (orkgp:P35000)
- Handles imbalanced sentences (orkgp:P35001)
- Augments with silver-labeled test data (orkgp:P35002)
- Scientific Terms and Relations Extraction (orkgp:P35003)
- hazard ratio (orkgp:P35004)
- Triples Extraction (orkgp:P35005)
- Additional Component (orkgp:P35006)
- Category 1 (orkgp:P35007)
- Category 2 (orkgp:P35008)
- data proportion (orkgp:P35009)
- Category 3 (orkgp:P35010)
- Category 4 (orkgp:P35011)
- Category 5 (orkgp:P35012)
- Category 6 (orkgp:P35013)
- Only Phrases Extraction Performance F-score (orkgp:P35023)
- MVC-Based technology (orkgp:P35024)
- SOA Integration technology (orkgp:P35025)
- Real time support (orkgp:P35026)
- Heterogeneous Data Sources (orkgp:P35027)
- Dynamic UI (orkgp:P35028)
- Semi-pipelined Triples Performance F-score (orkgp:P35029)
- Only Triples Extraction Performance F-score (orkgp:P35030)
- End-to-end System Performance F-score (orkgp:P35031)
- Pipelined Phrases Extraction Performance F-score (orkgp:P35032)
- Pipelined Triples Extraction Performance F-score (orkgp:P35033)
- Has ORKG Paper (orkgp:P35034)
- Team Name (orkgp:P35035)
- Concentration (orkgp:P35036)
- total_cochlear_length (orkgp:P35038)
- OHC_count (orkgp:P35043)
- Economy (orkgp:P35045)
- Education (orkgp:P35046)
- Environment and climate change (orkgp:P35047)
- Finance (orkgp:P35048)
- Governance (orkgp:P35049)
- Health (orkgp:P35050)
- Housing (orkgp:P35051)
- Population and social conditions (orkgp:P35052)
- Recreation (orkgp:P35053)
- Safty (orkgp:P35054)
- Solid waste (orkgp:P35055)
- Sport and culture (orkgp:P35056)
- Telecommunication (orkgp:P35057)
- Transportation (orkgp:P35058)
- Urban/local agriculture and food security (orkgp:P35059)
- Urban planning (orkgp:P35060)
- Wastewater (orkgp:P35061)
- Water (orkgp:P35062)
- Planet (orkgp:P35063)
- Prosperity (orkgp:P35064)
- Number of indicators (orkgp:P35065)
- Society and culture (orkgp:P35066)
- People (orkgp:P35067)
- visualizes information of (orkgp:P35069)
- includes a concept (orkgp:P35070)
- has topic (orkgp:P35071)
- Material (orkgp:P35072)
- Author(s) ID (orkgp:P35074)
- Source title (orkgp:P35075)
- Volume (orkgp:P35076)
- Issue (orkgp:P35077)
- Page start (orkgp:P35078)
- Page end (orkgp:P35079)
- Cited by (orkgp:P35080)
- Author Keywords (orkgp:P35081)
- Publication Stage (orkgp:P35082)
- Open Access (orkgp:P35083)
- EID (orkgp:P35084)
- Index Keywords (orkgp:P35085)
- Art. No. (orkgp:P35086)
- Page count (orkgp:P35087)
- Has research method (orkgp:P35088)
- Human values or emotions (orkgp:P35090)
- Material (orkgp:P35091)
- Concepts (orkgp:P35093)
- Has graphical user interface (orkgp:P35094)
- Has purpose (orkgp:P35095)
- Supports tasks (orkgp:P35096)
- Provides funtionality (orkgp:P35098)
- is supported by (orkgp:P35099)
- Number of surveyed papers (orkgp:P35100)
- has research question (orkgp:P35101)
- has sample (orkgp:P35102)
- has results (orkgp:P35103)
- has answer to research question (orkgp:P35104)
- has hypotheses (orkgp:P35105)
- Null hypothesis (orkgp:P35106)
- Alternative hypothesis (orkgp:P35107)
- Treatments (orkgp:P35108)
- has dependent variables (orkgp:P35109)
- has subject selection method (orkgp:P35110)
- has rewards (orkgp:P35112)
- scale type (orkgp:P35113)
- Normal distribution (orkgp:P35114)
- Tests (orkgp:P35115)
- number of groups (orkgp:P35116)
- Significance level (orkgp:P35117)
- Application field (orkgp:P35118)
- Number of ontologies referenced (orkgp:P35119)
- scientific papers mentionned describing the ontology (orkgp:P35120)
- Material (orkgp:P35121)
- Data (orkgp:P35122)
- Method (orkgp:P35123)
- Process (orkgp:P35124)
- Has experimental procedure (orkgp:P35125)
- Group (orkgp:P35126)
- Background (orkgp:P35127)
- W-value (orkgp:P35129)
- is significant (orkgp:P35130)
- Interpretation (orkgp:P35131)
- t-value (orkgp:P35132)
- Statistical tests (orkgp:P35133)
- HQS (orkgp:P35136)
- Sentences Extraction Performance F-score (orkgp:P35137)
- Associated Data (orkgp:P35138)
- Inferential statistic results (orkgp:P35139)
- Descriptive statistic results (orkgp:P35140)
- Group 1 using ReqVidA (orkgp:P35141)
- Group 2 using text editor (orkgp:P35142)
- U-value (orkgp:P35143)
- Group 1 using the vision video (orkgp:P35144)
- Group 2 using the image set (orkgp:P35145)
- Software features (orkgp:P35146)
- Compound of interest (orkgp:P35147)
- Vegetable source (orkgp:P35148)
- Electrode design (orkgp:P35149)
- Lowest Electric field (V/cm) (orkgp:P35150)
- Highest Electric field (V/cm) (orkgp:P35151)
- Lowest number of pulses (orkgp:P35152)
- Highest number of pulses (orkgp:P35153)
- Pulse width (ms) (orkgp:P35154)
- Treatment temperature (°C) (orkgp:P35155)
- Best treatment electric field (V/cm) (orkgp:P35156)
- Best treatment specific energy (kJ/kg) (orkgp:P35157)
- Antioxidant activity increase (%) (orkgp:P35158)
- Bioactive compound increase (%) (orkgp:P35159)
- Ionic liquids (orkgp:P35160)
- Absorption cycles (orkgp:P35161)
- Binary systems (orkgp:P35162)
- Coefficient of performance COP (orkgp:P35163)
- The cycle components temperature (orkgp:P35165)
- Circulation ratio f (orkgp:P35166)
- prevention strategies (orkgp:P35168)
- prevention strategies (orkgp:P35169)
- Graph top-level nodes (orkgp:P35173)
- Training data triples proportion (orkgp:P35175)
- Test data triples proportion (orkgp:P35176)
- Has repository (orkgp:P35177)
- Github (orkgp:P35178)
- Repository (orkgp:P35179)
- Online competition (orkgp:P35181)
- Year of study (orkgp:P35182)
- Published (orkgp:P35183)
- Type of sample (orkgp:P35184)
- Molecular Weight of Chitosan (orkgp:P35186)
- storage temperature (orkgp:P35187)
- Females (orkgp:P35189)
- Males (orkgp:P35190)
- Lead compound (orkgp:P35194)
- Type of natural additive (orkgp:P35195)
- Age group (orkgp:P35200)
- Dietary pattern derivation methods (orkgp:P35202)
- Dietary pattern asscoiated with obesity (orkgp:P35204)
- Time frame (orkgp:P35205)
- RO estimate (orkgp:P35206)
- 95% confidence interval lower limit (orkgp:P35207)
- 95% confidence inteval upper limit (orkgp:P35208)
- Methods of Characterizations used in Study (orkgp:P35209)
- Materials used in Study for Composite Fabrication (orkgp:P35210)
- Electroactive Monomer Basis of Fabricated Composite Used in Study (orkgp:P35211)
- Optoelectrochemical Studies (orkgp:P35212)
- Type of Polymerization (orkgp:P35213)
- Has example (orkgp:P35214)
- Subtask 1 (orkgp:P35215)
- Subtask 2 (orkgp:P35216)
- Has evaluation metrics (orkgp:P35217)
- Subtask 3 (orkgp:P35218)
- Data annotation granularities (orkgp:P35221)
- Training data count (orkgp:P35222)
- has count (orkgp:P35223)
- Test data count (orkgp:P35224)
- Organizational factors influencing evidence-based decision-making (orkgp:P35225)
- Environmental factors influencing evidence-based decision-making (orkgp:P35226)
- Individual factors influencing evidence-based decision-making (orkgp:P35227)
- Has preprocessing steps (orkgp:P35229)
- has subfield (orkgp:P36)
- Has features (orkgp:P36001)
- Total teams (orkgp:P36002)
- Average length of different types of sentences of Training set (orkgp:P36003)
- Average length of different types of sentences of Dev set (orkgp:P36004)
- Average length of different types of sentences of Test set (orkgp:P36005)
- Perspective (orkgp:P36007)
- Potassium/Sodium Binding Energy difference (orkgp:P36011)
- factors influencing bullying victimization (orkgp:P36012)
- statistical significance (orkgp:P36013)
- calculates (orkgp:P36014)
- Pearson Uncentered Correlation (orkgp:P36015)
- harmonic mean of Spearman and Pearson correlation between predicted scores and average manual scores (orkgp:P36016)
- Visitor effect (orkgp:P36017)
- alternative label (orkgp:P36018)
- Data annotations (orkgp:P36022)
- Total submissions (orkgp:P36024)
- Submissions per subtask (orkgp:P36025)
- Languages (orkgp:P36026)
- Total members (orkgp:P36027)
- Baseline (orkgp:P36029)
- Corpora (orkgp:P36030)
- spans (orkgp:P36031)
- spanning (orkgp:P36032)
- measured (orkgp:P36033)
- Evaluation tracks (orkgp:P36034)
- Participated in (orkgp:P36035)
- Performance rank (orkgp:P36036)
- Performance ranks (orkgp:P36037)
- Average accuracy (orkgp:P36038)
- Code repositories (orkgp:P36041)
- Average Score (orkgp:P36042)
- Track name (orkgp:P36043)
- Participating systems (orkgp:P36046)
- Has heuristic solution method (orkgp:P36047)
- Distributional word vectors (orkgp:P36048)
- Best systems (orkgp:P36050)
- Animal model (orkgp:P36051)
- Local Search Algorithm (orkgp:P36053)
- Problem Classification (orkgp:P36055)
- RE activities with crowd involvement (orkgp:P36056)
- Utilities in CrowdRE (orkgp:P36057)
- 70.3 (orkgp:P36058)
- Machine learning feature (orkgp:P36075)
- F(Beta) measure (orkgp:P36076)
- Beta-T value (orkgp:P36077)
- Best F1 (orkgp:P36078)
- Best Accuracy (orkgp:P36079)
- Best Spearman Correlation (orkgp:P36080)
- Approach name (orkgp:P36081)
- Means of evaluation (orkgp:P36082)
- Dataset statistics (orkgp:P36083)
- Dates (orkgp:P36084)
- Corpus genres (orkgp:P36085)
- Corpus sources (orkgp:P36086)
- Corpus statistics (orkgp:P36087)
- Examined (sub-)group (orkgp:P36088)
- Indicator for well-being (orkgp:P36089)
- Operationalisation of dependent variable (orkgp:P36090)
- Compared time before the COVID-19 pandemic (orkgp:P36094)
- Elicited information (orkgp:P36095)
- Used models (orkgp:P36096)
- Incentive/Motivation (orkgp:P36097)
- Performed by (orkgp:P36098)
- Media/Channel (orkgp:P36099)
- Run-time purpose (orkgp:P36100)
- Identification method (orkgp:P36101)
- Well-being: mean value before COVID-19 pandemic (orkgp:P36105)
- Well-being: mean value during COVID-19 pandemic (orkgp:P36106)
- Control variables (orkgp:P36107)
- Equipment used (orkgp:P37000)
- Number of isolated compounds (orkgp:P37001)
- Bioassays conducted (orkgp:P37002)
- Standard drugs used (orkgp:P37003)
- location of study (orkgp:P37004)
- plant material (orkgp:P37005)
- Has end (orkgp:P37006)
- Material (orkgp:P37007)
- Discussion (orkgp:P37010)
- Result and Conclusion (orkgp:P37011)
- Implication (orkgp:P37012)
- Result and Conclusion (orkgp:P37013)
- Implication (orkgp:P37014)
- Abstract (orkgp:P37015)
- Operating System (orkgp:P37016)
- RAM (orkgp:P37018)
- has abbreviation (orkgp:P37019)
- DBSPB (orkgp:P37020)
- LUBM (orkgp:P37021)
- SNIB (orkgp:P37022)
- YAGO2 (orkgp:P37023)
- SP2B (orkgp:P37024)
- Exact reaction (orkgp:P37028)
- Classification category (orkgp:P37029)
- Environmental dimension (orkgp:P37030)
- Social Dimension (orkgp:P37031)
- Economic Dimension (orkgp:P37032)
- Internal identifier (orkgp:P37033)
- Effect size - explanation (orkgp:P37034)
- Number of RDF triples (orkgp:P37035)
- Number of RDF Datasets (orkgp:P37036)
- Supports owl:sameAs Inference (orkgp:P37037)
- has_kind_of_messages (orkgp:P37038)
- has_kind_of_appeal (orkgp:P37039)
- Study Area (orkgp:P37041)
- Spectral features (orkgp:P37042)
- Has prognostic sea ice variable (orkgp:P37061)
- Has prognostic land ice model variable (orkgp:P37062)
- Metamodel strategy and structure (orkgp:P37063)
- Metamodel business network (orkgp:P37064)
- Metamodel operations (orkgp:P37065)
- Metamodel revenue model & performance (orkgp:P37066)
- Integration with other architectures (orkgp:P37067)
- Metamodel maturity (orkgp:P37068)
- Methodology development of BA model (orkgp:P37069)
- Methodology management BA initiatives (orkgp:P37070)
- Methodology structured procedure model (orkgp:P37071)
- Methodology use case scenarios (orkgp:P37072)
- Methodology best practices / reference models (orkgp:P37073)
- Methodology maturity (orkgp:P37074)
- Available tools (orkgp:P37076)
- is abbreviation of (orkgp:P37077)
- has license (orkgp:P37078)
- is abbreviation of (orkgp:P37079)
- has license (orkgp:P37080)
- Deepest Spectral feature (orkgp:P37081)
- Atmospheric correction model (orkgp:P37082)
- Geometric Correction (orkgp:P37083)
- Data Dimensionality Reduction Methods (orkgp:P37084)
- End Member Extraction Techniques (orkgp:P37085)
- Priori Knowledge of Study Area (orkgp:P37086)
- Spectral Mapping Technique (orkgp:P37087)
- Ferrous (Iron) Band Position (orkgp:P37088)
- Mineral Map Available (orkgp:P37089)
- Minerals Mapped/ Identified (orkgp:P37090)
- Comparisons (orkgp:P37091)
- Software Used (orkgp:P37092)
- Band Parameters (orkgp:P37093)
- Removal of Bad Bands and De-striping (orkgp:P37094)
- Deepest Spectral feature (�m) (orkgp:P37097)
- Ferrous (Iron) Band Position (�m) (orkgp:P37098)
- Deepest Spectral feature (nm) (orkgp:P37099)
- Ferrous (Iron) Band Position (nm) (orkgp:P37100)
- Study Area (orkgp:P37101)
- Mineralogy (orkgp:P37102)
- De-striping (orkgp:P37103)
- Bad Bands Removal (orkgp:P37105)
- Citation (orkgp:P37106)
- Citations (orkgp:P37107)
- Has Citations (orkgp:P37113)
- Has Priori Knowledge (orkgp:P37115)
- Has study area (orkgp:P37116)
- Has Mineralogy (orkgp:P37118)
- Classifier accuracy (orkgp:P37119)
- Organizational processes, which requires knowledge (orkgp:P37120)
- Products and services, which requires knowledge (orkgp:P37121)
- KM objectives (orkgp:P37122)
- Knowledge and its status (orkgp:P37123)
- Stages of knowledge development (orkgp:P37124)
- Types of knowledge flows (orkgp:P37125)
- Activities, behaviours, means [for knowledge development and/or for knowledge conveyance and transformation (orkgp:P37126)
- Human capital (Roles and accountabilities, KM stakeholders) (orkgp:P37127)
- Processes (knowledge activities applied and embedded within organizational processes) (orkgp:P37128)
- Technology and infrastructure (orkgp:P37129)
- KM culture (orkgp:P37130)
- Uses (RBL) blacklists (orkgp:P37131)
- Has Developer (orkgp:P37132)
- BibliographyType (orkgp:P37133)
- Identifier (orkgp:P37134)
- Journal (orkgp:P37135)
- Annote (orkgp:P37136)
- Custom1 (orkgp:P37137)
- Custom3 (orkgp:P37138)
- Pages (orkgp:P37139)
- ISBN (orkgp:P37140)
- Address (orkgp:P37141)
- Booktitle (orkgp:P37142)
- Publisher (orkgp:P37143)
- Howpublished (orkgp:P37144)
- Note (orkgp:P37145)
- Editor (orkgp:P37146)
- has parameter (orkgp:P37147)
- has parameters (orkgp:P37148)
- Type of MOOC (orkgp:P37149)
- MOOC Period (orkgp:P37150)
- has experiment (orkgp:P37152)
- Type of analysis (orkgp:P37153)
- Student pass rates % (orkgp:P37155)
- Material (orkgp:P37160)
- Process (orkgp:P37161)
- Method (orkgp:P37162)
- Data (orkgp:P37163)
- Rhizoctonia solani (orkgp:P37165)
- Anastmosis groups (orkgp:P37166)
- Binucleate Rhizoctonia (orkgp:P37167)
- AG 2.1 (orkgp:P37170)
- AG 5 (orkgp:P37172)
- AG 2.2IIIB (orkgp:P37173)
- AG A (orkgp:P37174)
- AG 3-PT (orkgp:P37175)
- AG 4HG1 (orkgp:P37176)
- AG HG4III (orkgp:P37177)
- AG R (orkgp:P37178)
- AG K (orkgp:P37179)
- AG F (orkgp:P37180)
- AG 1 (orkgp:P37181)
- AG U (orkgp:P37182)
- AG I (orkgp:P37183)
- Anastomosis groups (orkgp:P37184)
- chosen by (orkgp:P37185)
- Season (orkgp:P37196)
- Method (nitrogen fixation rate) (orkgp:P37197)
- Method (primary production) (orkgp:P37198)
- Incubation time (orkgp:P37199)
- No. of sampling stations (orkgp:P37200)
- Sampling depth covered (orkgp:P37201)
- Water column zone (orkgp:P37202)
- Mixed layer depth (MLD) (orkgp:P37204)
- Sea surface temperature (SST) (orkgp:P37205)
- Sea surface salinity (SSS) (orkgp:P37206)
- Wind speed (orkgp:P37207)
- N:P i.e., [NO3- + NO2-]:[PO43-] (orkgp:P37208)
- Region N depleted/replete (orkgp:P37209)
- Nitrogen fixation rate (orkgp:P37211)
- Depth integrated nitrogen fixation rate (orkgp:P37212)
- Primary production (orkgp:P37213)
- Depth integrated primary production (orkgp:P37214)
- Contribution of nitrogen fixation to primary production (orkgp:P37215)
- Open/coastal ocean (orkgp:P37217)
- δ15N (surface PON) (orkgp:P37218)
- contribution:research_aplication (orkgp:P37219)
- contribution:VUVSpec_wllow[nm] (orkgp:P37220)
- contribution:VUVSpec_wlup[nm] (orkgp:P37221)
- contribution:VUVSpec_detector (orkgp:P37222)
- contribution:VUVSpec_collection (orkgp:P37223)
- contribution:VUVSpec_Calibration (orkgp:P37224)
- contribution:VUVSpec_CalibrationMode (orkgp:P37225)
- contribution:Plasma_Type (orkgp:P37226)
- contribution:Plasma_Pressure (orkgp:P37227)
- contribution:Plasma_Gases (orkgp:P37228)
- contribution:Plasma_TeUp[eV] (orkgp:P37229)
- contribution:Plasma_Ne[cm-3] (orkgp:P37230)
- Has antimicrobial properties (orkgp:P37232)
- Molecular Mechanism (orkgp:P37233)
- paper:journal (orkgp:P37235)
- research_target (orkgp:P37236)
- VUVSpec_wllow[nm] (orkgp:P37237)
- VUVSpec_wlup[nm] (orkgp:P37238)
- VUVSpec_detector (orkgp:P37239)
- VUVSpec_collection (orkgp:P37240)
- VUVSpec_Calibration[Y/N] (orkgp:P37241)
- VUVSpec_CalibrationMode (orkgp:P37242)
- Plasma_Type (orkgp:P37243)
- P_Ne_1[cm-3] (orkgp:P37244)
- P_Ne_2[cm-3] (orkgp:P37245)
- VUVSpec_irradiance$$(s^{-1}cm^{-2} \times 10^{15}$$ (orkgp:P37246)
- P_Gases (orkgp:P37247)
- P_Pressure_1[Pa] (orkgp:P37248)
- P_Pressure_2[Pa] (orkgp:P37249)
- P_Te_1[eV] (orkgp:P37250)
- P_Te_2[eV] (orkgp:P37251)
- Data split (orkgp:P37253)
- Status of municipal water supply (orkgp:P37254)
- VUVSpec_irradiance (s^-1 x cm^-2) x 10^15 (orkgp:P37255)
- Biogeographical region (orkgp:P37256)
- Locus (genetics) (orkgp:P37258)
- DNA sequencing method (orkgp:P37259)
- Taxonomic group (Biology) (orkgp:P37264)
- Phylum (Biology) (orkgp:P37266)
- No. of potential undescribed species (orkgp:P37270)
- higher number estimated species (orkgp:P37271)
- higher number estimated species (Method) (orkgp:P37272)
- No. of estimated species (orkgp:P37273)
- No. of estimated species (Method) (orkgp:P37274)
- lower number estimated species (orkgp:P37275)
- lower number estimated species (Method) (orkgp:P37276)
- Exposure vessel (orkgp:P37277)
- Effect concentration (orkgp:P37278)
- Maximum intraspecific distances averaged (orkgp:P37282)
- nearest neighbor distance averaged (orkgp:P37283)
- nearest neighbor distance lower limit (orkgp:P37285)
- nearest neighbor distance upper limit (orkgp:P37286)
- Maximum intraspecific distances lower limit (orkgp:P37287)
- Maximum intraspecific distances upper limit (orkgp:P37288)
- evaluates (orkgp:P37290)
- tool availability (orkgp:P37291)
- Data Dimensionality Reduction Technique (orkgp:P37292)
- Minerals/ Feature Mapped (orkgp:P37293)
- Atmospheric Correction required (orkgp:P37294)
- Priori Knowledge about study area (orkgp:P37295)
- Encapsulation efficiency (orkgp:P37296)
- Particle diameter (average) (orkgp:P37297)
- Zeta potential (orkgp:P37298)
- Peptide:lipid ratio (orkgp:P37303)
- Econometric model (orkgp:P37306)
- Number of dependent variables (orkgp:P37307)
- data collection (orkgp:P37308)
- Bioactive compounds (orkgp:P37309)
- IC50 (orkgp:P37310)
- Identified Factors (orkgp:P37312)
- Analyzed Number of Publications (orkgp:P37313)
- Future Challenges (orkgp:P37314)
- Experiment name (orkgp:P37315)
- Sampling year (orkgp:P37316)
- Sampling period (orkgp:P37317)
- Sampling stations (orkgp:P37318)
- Coastal/open ocean (orkgp:P37319)
- Incubation period (hours) (orkgp:P37321)
- Method (nitrogen fixation rates) (orkgp:P37322)
- Nitrogen fixation rates (orkgp:P37323)
- Surface nitrogen fixation rates (orkgp:P37324)
- Depth integrated nitrogen fixation rates (orkgp:P37325)
- Surface primary production (orkgp:P37326)
- N:P i.e., [NO3 + NO2]:[PO4] (orkgp:P37327)
- Delta15N (of surface PON) (orkgp:P37328)
- water-cement ratio (orkgp:P37329)
- research question (orkgp:P37330)
- Aims and Objectives (orkgp:P37332)
- Research Area (orkgp:P37333)
- Venue (orkgp:P37334)
- Impact Factor (orkgp:P37335)
- Data (orkgp:P37336)
- Material (orkgp:P37337)
- Lower limit (nitrogen fixation rates) (orkgp:P37338)
- Upper limit (nitrogen fixation rates) (orkgp:P37339)
- Unit (nitrogen fixation rates) (orkgp:P37340)
- Thermal Resistance of Borehole (orkgp:P37341)
- Uses RDF store (orkgp:P37342)
- Has type (orkgp:P37343)
- Against (orkgp:P37344)
- Publication date (orkgp:P37345)
- Publication location (orkgp:P37346)
- Experimental treatment (orkgp:P37347)
- Control conditions (orkgp:P37348)
- Degree of warming (degrees C) (orkgp:P37349)
- Bibliographic data source (orkgp:P37353)
- Scientific network(s) (orkgp:P37354)
- Social network analysis (orkgp:P37355)
- neutron spectrum (orkgp:P37356)
- nuclear reactor coolant (orkgp:P37357)
- 2D modeling (orkgp:P37358)
- 3D modeling (orkgp:P37359)
- Software name (orkgp:P37360)
- Nuclear reactor type (orkgp:P37362)
- experimental facility (orkgp:P37363)
- Area of study (orkgp:P37364)
- Results (orkgp:P37365)
- Change in species richness due to warming (%) (orkgp:P37369)
- Change in vegetation cover due to warming (%) (orkgp:P37370)
- Change in vegetation biomass due to warming (%) (orkgp:P37371)
- Brain Imaging modality (orkgp:P37372)
- Number of cognitive states (orkgp:P37373)
- Number of subjects considered for the analysis (orkgp:P37374)
- Average classification accuracy (orkgp:P37375)
- Machine learning classifier used (orkgp:P37376)
- Classification scheme (orkgp:P37377)
- Brin imaging modality (orkgp:P37379)
- Actuation Method (orkgp:P37381)
- Fabrication methods (orkgp:P37382)
- System components (orkgp:P37383)
- System location (orkgp:P37384)
- Optimization method (orkgp:P37385)
- Software (orkgp:P37386)
- Levelized cost of energy (orkgp:P37387)
- Solver (orkgp:P37388)
- Material (orkgp:P37389)
- Process (orkgp:P37390)
- Method (orkgp:P37391)
- Data (orkgp:P37392)
- Cytotoxicity assay (orkgp:P37395)
- IC50 of Drug loaded nanoparticles (orkgp:P37396)
- IC50 of Drug solution (orkgp:P37398)
- Biodegredable or inorganic polymer (orkgp:P37399)
- Polymer charachterisation (orkgp:P37400)
- Nanoparicles preparation method (orkgp:P37401)
- Paricle size of nanoparicles (orkgp:P37402)
- Poly dispercity index (PDI) (orkgp:P37403)
- Drug entrapment efficiency (orkgp:P37404)
- Critical micelle concentration (CMC) (orkgp:P37405)
- Drug loading (orkgp:P37406)
- Nanoparticle visualisation (orkgp:P37407)
- has drug release studies (orkgp:P37408)
- Principal producing strain (orkgp:P37409)
- Carbon source (orkgp:P37411)
- Nitrogen source (orkgp:P37412)
- Yield (orkgp:P37413)
- Isolation source (orkgp:P37414)
- Histopathological analysis (orkgp:P37415)
- Time to acceptance (orkgp:P37416)
- Carbon source concentration (% w/v) (orkgp:P37417)
- Orgsnisations (orkgp:P37418)
- Physical space size (orkgp:P37420)
- Furniture setting (orkgp:P37421)
- Nitrogen source concentration (% w/v) (orkgp:P37422)
- Principal producing species (orkgp:P37423)
- Material (orkgp:P37425)
- Material (orkgp:P37427)
- User roles (orkgp:P37428)
- Material (orkgp:P37429)
- Material structure (orkgp:P37431)
- Device type (orkgp:P37432)
- Film deposition method (orkgp:P37433)
- Film structure (orkgp:P37434)
- Material (orkgp:P37435)
- funder (orkgp:P37436)
- conducted ELISA (orkgp:P37437)
- number of references (orkgp:P37439)
- Data presentation (orkgp:P37440)
- qPCR statistical analysis (orkgp:P37441)
- estimated ROS intracellular level (orkgp:P37442)
- used Western blot (orkgp:P37443)
- value (orkgp:P37446)
- calculated (orkgp:P37447)
- Correlation Coefficient (orkgp:P37448)
- Metamodel Integration with other architectures (orkgp:P37449)
- Analysis (orkgp:P37450)
- Contributation-1 (orkgp:P37451)
- Contributation-2 (orkgp:P37452)
- Model Prediction (orkgp:P37453)
- Curve fitting (orkgp:P37454)
- refered to as (orkgp:P37455)
- What drive variation (if applicable)? (orkgp:P37456)
- Major cations (orkgp:P37457)
- Major anion (orkgp:P37458)
- source of ion (orkgp:P37459)
- land use type (orkgp:P37460)
- median mHLA-DR expression in ICU patients at day 3 (orkgp:P37464)
- median mHLA-DR expression in ICU patients at day 5 (orkgp:P37465)
- median mHLA-DR expression in ICU patients at admission to ICU (orkgp:P37466)
- Bacterial strains used in study (orkgp:P37471)
- antibiotics (orkgp:P37473)
- antibiotics used in study (orkgp:P37474)
- antimicobials used in study (orkgp:P37475)
- pharmacodynamic model used for calculation (orkgp:P37477)
- Method used to calculate minimum inhibition concentration (orkgp:P37478)
- used qPCR (orkgp:P37479)
- kit used for RNA extraction (orkgp:P37480)
- genes detected by qPCR (orkgp:P37481)
- kit used for reverse transcription (orkgp:P37482)
- qPCR n value (orkgp:P37483)
- research field (orkgp:P37484)
- Metamodel scope_Business network (orkgp:P37485)
- Metamodel scope_Operations (orkgp:P37486)
- Metamodel scope_Strategy and structure (orkgp:P37487)
- Metamodel scope_Revenue model and performance (orkgp:P37488)
- atherosclerosis incidence (orkgp:P37489)
- p-value of atherosclerotic lesion sizes (orkgp:P37490)
- median mHLA-DR expression in ICU patients at day 7 (orkgp:P37491)
- median mHLA-DR expression in ICU patients at day 12 (orkgp:P37492)
- median mHLA-DR expression in ICU patients at day 20 (orkgp:P37493)
- Dosage of interferon-γ (orkgp:P37494)
- Methodology scope_Development of BA model (orkgp:P37496)
- Methodology scope_Management of BA initiatives (orkgp:P37497)
- Has exact calculation (orkgp:P37500)
- Has bound calculations (orkgp:P37501)
- Has the time complexity (orkgp:P37502)
- Can be used to find the group of size k with the highest GBC in a given network (orkgp:P37505)
- Virus (orkgp:P37507)
- Compound name (orkgp:P37508)
- Class of compound (orkgp:P37509)
- Organism Source (orkgp:P37510)
- Source name (orkgp:P37511)
- Data Size (orkgp:P37512)
- software used to analyze the dose response data (orkgp:P37513)
- Summarization Type (orkgp:P37515)
- Machine Learning Paradigm (orkgp:P37516)
- Automatic Evaluation Metrics (orkgp:P37517)
- Automatic Evaluation Scores (orkgp:P37518)
- Human Evaluation Aspects (orkgp:P37519)
- Data Language (orkgp:P37520)
- Data Domain (orkgp:P37521)
- Has frequency (orkgp:P37522)
- Has method (orkgp:P37523)
- study location (country) (orkgp:P37524)
- Risk factors for OSA (orkgp:P37528)
- Has frequency (%) (orkgp:P37530)
- Material (orkgp:P37531)
- Sleep efficiency (%) (orkgp:P37534)
- The estimated value of Hill coefficient (orkgp:P37535)
- Apnea-hypopnea index (events/hour) (orkgp:P37536)
- Location (orkgp:P37537)
- Metal used (orkgp:P37539)
- Nuclearity (orkgp:P37540)
- Ligand (orkgp:P37541)
- Homo or heterometallic complex (orkgp:P37542)
- Year (orkgp:P37543)
- application (orkgp:P37544)
- geographical scope (orkgp:P37545)
- Ecosystem services investigated (orkgp:P37546)
- The reasons that drive variations in Hill coefficient (orkgp:P37548)
- Location of the research group (orkgp:P37549)
- western blot n value (orkgp:P37550)
- proteins detected by western blot (orkgp:P37552)
- Reaction yield (orkgp:P37553)
- Solvent (orkgp:P37555)
- Precursor of cobinamide (orkgp:P37556)
- Major reactant (orkgp:P37557)
- Reaction time (orkgp:P37558)
- Reaction yield (%) (orkgp:P37560)
- Temperature (°C) (orkgp:P37561)
- molecules detected by ELISA (orkgp:P37562)
- Special conditions (orkgp:P37563)
- Scale-up (mg) (orkgp:P37564)
- Safety hazard (orkgp:P37565)
- data availability (orkgp:P37566)
- molecules detected by immunocytochemistry (orkgp:P37567)
- conducted immunocytochemistry (orkgp:P37568)
- method for Ros determination (orkgp:P37569)
- concentration of ethanol exposure (orkgp:P37570)
- non wheat flour (orkgp:P37571)
- Lower range of non wheat flour (orkgp:P37572)
- Upper range of non wheat flour (orkgp:P37573)
- optimal level of non wheat flour (orkgp:P37574)
- factors affecting bacterial growth rate (orkgp:P37575)
- conducted RNA sequencing (orkgp:P37576)
- Uses drug (orkgp:P37578)
- hasScenario (orkgp:P37581)
- hasAssumption (orkgp:P37582)
- hasEmpricialData (orkgp:P37583)
- Energy savings (orkgp:P37584)
- usesExogenousTimeSeries (orkgp:P37585)
- hasFactsAbout (orkgp:P37586)
- Species (orkgp:P37588)
- Ploidy of sexuals (orkgp:P37589)
- Ploidy of apomicts (orkgp:P37590)
- Sample shape and dimensions (orkgp:P37592)
- Biblical passages (orkgp:P37593)
- Complexity (orkgp:P37596)
- Scale (orkgp:P37598)
- Level of Knowledge, skills, and expertise (orkgp:P37599)
- research_problem (orkgp:P37600)
- Implemented queries (orkgp:P37601)
- Has Configuration (orkgp:P37604)
- Name (orkgp:P37605)
- Implemented Language (orkgp:P37606)
- Has compared with (orkgp:P37607)
- Backend Storage (orkgp:P37609)
- PC Configuration (orkgp:P37610)
- RDF datasets (orkgp:P37611)
- Has Triples (orkgp:P37612)
- Has Entities (orkgp:P37613)
- Prototype System Name (orkgp:P37614)
- Number of triples (orkgp:P37615)
- has potential (orkgp:P37616)
- share RE (orkgp:P37617)
- has development (orkgp:P37618)
- has post-processing (orkgp:P37619)
- has assumptions for post-processing (orkgp:P37620)
- Emission reduction (orkgp:P37621)
- Considers technological innovation (orkgp:P37622)
- SPARQL queries (orkgp:P37623)
- Has query (orkgp:P37624)
- Has access pattern (orkgp:P37625)
- Has operations (orkgp:P37627)
- Has cost (orkgp:P37628)
- has symbol (orkgp:P37629)
- has Statistic (orkgp:P37632)
- Processor (orkgp:P37634)
- Clock rate (orkgp:P37635)
- Queries (orkgp:P37636)
- Number of threads (orkgp:P37637)
- has case (orkgp:P37638)
- has Input (orkgp:P37639)
- has advantage (orkgp:P37640)
- has component (orkgp:P37641)
- Notation (orkgp:P37642)
- Form (orkgp:P37643)
- implemented in (orkgp:P37644)
- designed to (orkgp:P37645)
- has term query (orkgp:P37646)
- has class (orkgp:P37647)
- is combination of (orkgp:P37648)
- Method (orkgp:P37650)
- uses (orkgp:P37651)
- Best Average Recall (orkgp:P37652)
- Best Mean Average Precision (orkgp:P37653)
- Has (Best )performance (orkgp:P37656)
- Built on top of (orkgp:P37657)
- Hardware (orkgp:P37658)
- Has Dataset size (orkgp:P37659)
- Proof robustnees (orkgp:P37661)
- is comparable (orkgp:P37662)
- has source of funding (orkgp:P37663)
- has new aspects (orkgp:P37664)
- has spatial coverage (orkgp:P37665)
- has target year (orkgp:P37666)
- has transformation path (orkgp:P37667)
- models energy sector (orkgp:P37668)
- models demand sector (orkgp:P37669)
- has economic (behavioural) rationale (orkgp:P37670)
- includes technologies (orkgp:P37671)
- has endogenous variables (orkgp:P37674)
- is used in study (orkgp:P37675)
- supported data modelling language (orkgp:P38000)
- uses benchmark (orkgp:P38001)
- Query (orkgp:P38002)
- dataset size (orkgp:P38003)
- Uses hardware (orkgp:P39001)
- Uses Computer Hardware (orkgp:P39002)
- Uses computer software (orkgp:P39003)
- Number of properties (orkgp:P39006)
- Memory (orkgp:P39007)
- hasMathematicalProperty (orkgp:P39008)
- hasBasicInformation (orkgp:P39009)
- HasOpenness (orkgp:P39010)
- HasModelIntegration (orkgp:P39011)
- Has model file format (orkgp:P39013)
- is integrated into model (orkgp:P39014)
- integrates model (orkgp:P39015)
- Material of the cantilever (orkgp:P39016)
- Structure of the biosensor (orkgp:P39017)
- Biosensor working principle (orkgp:P39018)
- Theoretical analysis performed (orkgp:P39019)
- Steps (orkgp:P39020)
- Number of instances (orkgp:P39021)
- has model class (orkgp:P39023)
- has approach to uncertainty (orkgp:P39024)
- is suited for many scenarios or Monte Carlo (orkgp:P39025)
- has technical data anchored in the model (orkgp:P39026)
- has computational requirements (orkgp:P39027)
- has typical computation time (orkgp:P39028)
- has simulation approach (orkgp:P39030)
- has exemplary research question (orkgp:P39031)
- has methodical focus (orkgp:P39032)
- has contact person (orkgp:P39033)
- has support (orkgp:P39034)
- based on framework (orkgp:P39035)
- has number of developers (orkgp:P39036)
- has number of users (orkgp:P39037)
- ZnO form (orkgp:P39038)
- Method of nanomaterial synthesis (orkgp:P39039)
- Piezoelectric coefficient measured (pm/V) (orkgp:P39041)
- Piezoelectric measurements (orkgp:P39042)
- Device performance (orkgp:P39043)
- Device structure (orkgp:P39044)
- ZnO nanomaterial layer thickness (nm) (orkgp:P39047)
- Evaluation methods (orkgp:P39048)
- Personalisation features (orkgp:P39049)
- Related links (orkgp:P39050)
- Test data (orkgp:P39051)
- Reuse of existing vocabularies (orkgp:P39052)
- Alligned with FAIR principles (orkgp:P39053)
- Development in (orkgp:P39054)
- Online data availability (orkgp:P39055)
- Test related data (orkgp:P39056)
- AUC (orkgp:P39057)
- Structure of the sensor (orkgp:P39058)
- Sensibility of the pressure sensor ( /kPa) (orkgp:P39059)
- Reponse time (ms) (orkgp:P39060)
- Detection limit (Pa) (orkgp:P39061)
- Loading-unloading cycles (orkgp:P39062)
- Potential application of the sensor (orkgp:P39063)
- Applied pressure range (kPa) (orkgp:P39064)
- Software development approach (orkgp:P39065)
- Information and communications technology (ICT) (orkgp:P39066)
- Environmental sustainability (orkgp:P39067)
- Productivity (orkgp:P39068)
- Quality of life (orkgp:P39069)
- Equity and social inclusion (orkgp:P39070)
- Physical infrastructure (orkgp:P39071)
- Accessible transport system for all (orkgp:P39072)
- Participatory and Inclusive urbanization (orkgp:P39073)
- World’s cultural and natural heritage protection (orkgp:P39074)
- Protection of the poor and people in vulnerable situation (orkgp:P39075)
- Capital enviromental impact of cities reduction (orkgp:P39076)
- Access to safe and inclusive public space (orkgp:P39077)
- Urban-rural linkagesages (orkgp:P39078)
- Implementation of mitigation and adaptation plans and policies (orkgp:P39079)
- Countries with existing local disaster reduction stratergy (orkgp:P39080)
- Sustainable and resilient buildings (orkgp:P39081)
- End poverty in all its forms everywhere (orkgp:P39082)
- Counterion (orkgp:P39083)
- Counterion interaction in DCM (orkgp:P39084)
- Counterion interaction in Toluene (orkgp:P39085)
- BLA (pm) (orkgp:P39086)
- BLA evaluation method (orkgp:P39087)
- Type of Lipid-based nanoparticle (orkgp:P39088)
- Uses Lipid (orkgp:P39089)
- Order (Taxonomy - biology) (orkgp:P39091)
- No. of samples (sequences) (orkgp:P39092)
- Class (Taxonomy - biology) (orkgp:P39093)
- Existence questions (orkgp:P39094)
- Description and Classification questions (orkgp:P39095)
- Descriptive-Comparative questions (orkgp:P39096)
- Empirical truth (orkgp:P39097)
- threat to validity (orkgp:P39099)
- has main specific properties (orkgp:P39100)
- has further properties (orkgp:P39101)
- is used by institution (orkgp:P39102)
- Models technology (orkgp:P39104)
- has temporal resolution (orkgp:P39105)
- Has observation period (orkgp:P39106)
- Models user behaviour (orkgp:P39108)
- Models demand side management (orkgp:P39109)
- Has further dimension (orkgp:P39112)
- Particle size of nanoparticles (orkgp:P39113)
- Drug entrapment efficiency (%) (orkgp:P39114)
- Organisations (orkgp:P39115)
- Time to acceptance (days) (orkgp:P39116)
- Maximum efficiency of the solar cell (%) (orkgp:P39117)
- Area of the solar cell (cm2) (orkgp:P39118)
- Fill factor, FF (%) (orkgp:P39119)
- Open circuit voltage, Voc (V) (orkgp:P39120)
- Solar cell structure (orkgp:P39121)
- Short-circuit current density, Jsc (mA/cm2) (orkgp:P39122)
- Concepts learning (orkgp:P39125)
- Individual learning (orkgp:P39126)
- Properties hierarchy (orkgp:P39130)
- Axiom extraction/learning (orkgp:P39131)
- Class hierarchy extraction/learning (orkgp:P39132)
- Concepts extraction/learning (orkgp:P39133)
- Individual extraction/learning (orkgp:P39134)
- Properties extraction/learning (orkgp:P39135)
- Properties hierarchy extraction/learning (orkgp:P39136)
- Terms extraction/learning (orkgp:P39137)
- Rule extraction/learning (orkgp:P39138)
- Ontology type (orkgp:P39139)
- Particle size of nanoparticles (nm) (orkgp:P39140)
- studied taxonomic group (Biology) (orkgp:P39141)
- R136288 (orkgp:P39142)
- R136290 (orkgp:P39143)
- R136292 (orkgp:P39144)
- R136306 (orkgp:P39145)
- R136308 (orkgp:P39146)
- R136310 (orkgp:P39147)
- has file format (orkgp:P39148)
- has components for power generation or conversion (orkgp:P39150)
- has components for transfer, infrastructure or grid (orkgp:P39151)
- Has components for storage (orkgp:P39152)
- has_analysis_approach (orkgp:P39153)
- has link to user documentation (orkgp:P39154)
- has link to developer documentation (orkgp:P39155)
- Main_manipulation_of_interest (orkgp:P39156)
- number of results (orkgp:P39157)
- mean value (orkgp:P39158)
- geometric mean (orkgp:P39159)
- refers to (orkgp:P4)
- R4001 (orkgp:P4000)
- Has_sample_size (orkgp:P40000)
- Type_of_sample (orkgp:P40001)
- Has_result (orkgp:P40002)
- Extraction methods (orkgp:P40003)
- Preprocessing required (orkgp:P40005)
- Minerals identified (Lunar rock samples) (orkgp:P40007)
- Minerals Identified (Terrestrial samples) (orkgp:P40008)
- Iron Position (nm, VNIR-SWIR Terrestrial Samples) (orkgp:P40009)
- label (orkgp:P4001)
- Silicates Position (nm, Raman Terrestrial Samples) (orkgp:P40010)
- Carbonates position (nm, Mid-Infrared Terrestrial Samples) (orkgp:P40011)
- Pyroxene position (nm, Mid-Infrared Lunar Samples) (orkgp:P40012)
- Plagioclase position (nm, Mid-Infrared Lunar Samples) (orkgp:P40013)
- Silicates Position (nm, Raman Lunar Samples) (orkgp:P40014)
- Iron Position (nm, VNIR-SWIR Lunar Samples) (orkgp:P40015)
- Olivine position (nm, Mid-Infrared Lunar Samples) (orkgp:P40016)
- Photoredox catalyst (orkgp:P40018)
- Additive (orkgp:P40019)
- R4009 (orkgp:P4002)
- Mechanism (orkgp:P40020)
- Type of transformation (orkgp:P40021)
- Time (hours) (orkgp:P40022)
- Silicates Position (nm, Thermal Terrestrial Samples) (orkgp:P40024)
- occupant presence or actions (orkgp:P40026)
- climate zone (köppen-geiger) (orkgp:P40027)
- stochastic opa models: general/generalized linear model (orkgp:P40028)
- stochastic opa models: probit analysis (orkgp:P40029)
- has specified output (orkgp:P4003)
- data-driven models: gradient boosting (orkgp:P40030)
- data-driven models: naive bayes (orkgp:P40031)
- resource:occupant presence or actions (orkgp:P40032)
- resource:city (orkgp:P40033)
- resource:climate zone (köppen-geiger) (orkgp:P40034)
- Renewables (orkgp:P40035)
- Conventional (orkgp:P40036)
- Electricity (orkgp:P40037)
- Gas (orkgp:P40038)
- Heat (orkgp:P40039)
- dimension (orkgp:P4004)
- resource:city (orkgp:P40040)
- Structure of the diode (orkgp:P40041)
- ZnO dopant (orkgp:P40042)
- ZnO thickness (nm) (orkgp:P40043)
- Rectification ratio (RR) (orkgp:P40044)
- Series resistance, Rs (Ohm) (orkgp:P40045)
- Barrier height (eV) (orkgp:P40046)
- Voltage (V) (orkgp:P40047)
- ZnO film deposition method (orkgp:P40048)
- Intended_Application (orkgp:P40049)
- code List (orkgp:P4005)
- Excitation_type (orkgp:P40050)
- Excitation_frequency (orkgp:P40051)
- Feed_gas (orkgp:P40052)
- Gas _flow _rate[slm] (orkgp:P40053)
- Input_power[W] (orkgp:P40054)
- Specific Energy Density[J/L] (orkgp:P40055)
- Temperature[K] (orkgp:P40056)
- Ideality factor (orkgp:P40057)
- Electrical contacts (orkgp:P40058)
- Nanoparticles preparation method (orkgp:P40059)
- measure (orkgp:P4006)
- has Input type of indicators, share (orkgp:P40060)
- has Process type of indicators, share (orkgp:P40061)
- has Output type of Indicators, share (orkgp:P40062)
- has Outcome type of Indicators, share (orkgp:P40063)
- has Impact type of Indicators, share (orkgp:P40064)
- has contribution type (orkgp:P40065)
- Qeury (orkgp:P40066)
- Unnamed: 0 (orkgp:P40067)
- HAS_VENUE (orkgp:P40068)
- structure (orkgp:P4007)
- component (orkgp:P4008)
- top Concept Of (orkgp:P4010)
- in Scheme (orkgp:P4011)
- type (orkgp:P4012)
- range (orkgp:P4013)
- has specified numeric value (orkgp:P4014)
- has specified input (orkgp:P4015)
- Material (orkgp:P4016)
- Data (orkgp:P4017)
- Process (orkgp:P4018)
- Company (orkgp:P4019)
- MAPE (orkgp:P4020)
- MAE (orkgp:P4021)
- Institution (orkgp:P4022)
- Person (orkgp:P4023)
- Challenge (orkgp:P4024)
- available (orkgp:P4033)
- is (orkgp:P4034)
- between (orkgp:P4035)
- using (orkgp:P4036)
- listing (orkgp:P4037)
- could be applicated to (orkgp:P4038)
- is (orkgp:P4039)
- between (orkgp:P4040)
- using (orkgp:P4041)
- listing (orkgp:P4042)
- could be applicated to (orkgp:P4043)
- restricted to (orkgp:P4044)
- SASD (orkgp:P4045)
- SADASdAD (orkgp:P4046)
- has size (orkgp:P4047)
- from (orkgp:P4048)
- Has edges (orkgp:P4050)
- provided by (orkgp:P4051)
- is independent of (orkgp:P4052)
- is about (orkgp:P4053)
- based on (orkgp:P4054)
- sample size (orkgp:P4055)
- has methodology (orkgp:P4056)
- Planung (orkgp:P4057)
- Aktivität (orkgp:P4058)
- Has url (orkgp:P4059)
- capable of (orkgp:P4060)
- is dependent of (orkgp:P4061)
- showing (orkgp:P4062)
- detecting (orkgp:P4063)
- providing (orkgp:P4064)
- finding (orkgp:P4065)
- employing (orkgp:P4066)
- leveraging (orkgp:P4067)
- recognizing and normalizing (orkgp:P4068)
- attaining (orkgp:P4069)
- required skills for high-level staticians are (orkgp:P4070)
- Jobs for lower level staticians are restricted to (orkgp:P4071)
- sdfdasfsdfsf (orkgp:P4072)
- users (orkgp:P4075)
- describes (orkgp:P4076)
- source code (orkgp:P4077)
- Surfactant (orkgp:P41000)
- Ontology construction (orkgp:P41001)
- Knowledge source (orkgp:P41002)
- Has Datasets (orkgp:P41003)
- Correction methods (orkgp:P41005)
- Preprocessing (orkgp:P41006)
- Structural Information (orkgp:P41007)
- Layer (orkgp:P41008)
- Average Thickness (m) (orkgp:P41009)
- Density (g/cm^3) (orkgp:P41010)
- Average Permittivity (Ch-4) (orkgp:P41011)
- Validation (orkgp:P41012)
- Datatype (orkgp:P41013)
- Total datasets (Channel-2) (orkgp:P41014)
- Avg. Dielectric constant (orkgp:P41015)
- LPR Channel used (MHz) (orkgp:P41016)
- Average Permittivity (Ch-3) (orkgp:P41017)
- Relative Permittivity (Ch-3) (orkgp:P41018)
- Relative Permittivity (Ch-4) (orkgp:P41019)
- Total datasets (Channel-1) (orkgp:P41020)
- Piezoresistive Material (orkgp:P41021)
- Response time (ms) (orkgp:P41022)
- Sensitivity (/kPa) (orkgp:P41023)
- has been evaluated in the City (orkgp:P41024)
- has been evaluated in the Country (orkgp:P41025)
- belongs to Smart City Dimension (orkgp:P41026)
- helps achieve Smart city Goal (orkgp:P41028)
- Addresses Smart city Action (orkgp:P41029)
- has Application Scope (orkgp:P41030)
- has Data Source (orkgp:P41031)
- has Target users (orkgp:P41032)
- has Recommended items (orkgp:P41033)
- uses Recommendation approach (orkgp:P41034)
- uses Recommendation Method (orkgp:P41035)
- is based on User Preferences Type (orkgp:P41036)
- Is based on Explicit User Preferences (orkgp:P41037)
- Is based on Implicit User Preferences (orkgp:P41038)
- Exploited data (orkgp:P41039)
- has Implementation level (orkgp:P41040)
- Mission (orkgp:P41041)
- Launch Year (orkgp:P41042)
- Instrument (orkgp:P41043)
- Spectral range (nm) (orkgp:P41044)
- Spectral resolution-VNIR (nm) (orkgp:P41045)
- Spectral resolution-SWIR (nm) (orkgp:P41046)
- Imager/ Non-Imager (orkgp:P41047)
- Spatial resolution (m) (orkgp:P41048)
- No. of Bands (orkgp:P41049)
- No. of datasets (orkgp:P41050)
- Swath (km) (orkgp:P41051)
- Low Calcium Pyroxene (LCP-nm) (orkgp:P41052)
- Olivine (nm) (orkgp:P41053)
- Pyroxene (nm) (orkgp:P41054)
- Plagioclase (nm) (orkgp:P41055)
- Orthopyroxene (nm) (orkgp:P41056)
- Clinopyroxene (nm) (orkgp:P41057)
- Reference data (orkgp:P41058)
- Swath (orkgp:P41059)
- Ferrous (nm) (orkgp:P41060)
- High Alumina basalt (nm) (orkgp:P41061)
- High Calcium Pyroxene (LCP-nm) (orkgp:P41062)
- Mafic Silicate (nm) (orkgp:P41063)
- Fe-rich spinels (nm) (orkgp:P41064)
- Cr/Fe-rich spinels (nm) (orkgp:P41065)
- Mg-rich spinels (nm) (orkgp:P41066)
- Elemental abundance maps (orkgp:P41067)
- Total sampling stations (orkgp:P41068)
- Lower limit (integrated primary production) (orkgp:P41069)
- Upper limit (integrated primary production) (orkgp:P41070)
- Unit (integrated primary production) (orkgp:P41071)
- Primary production unit is different in paper (orkgp:P41072)
- Average primary production (orkgp:P41073)
- Unit (average primary production) (orkgp:P41074)
- Lower limit (primary production) (orkgp:P41075)
- Upper limit (primary production) (orkgp:P41076)
- Unit (primary production) (orkgp:P41077)
- Samples source (orkgp:P41079)
- Techniques/ Analysis (orkgp:P41080)
- Grain size (mm) (orkgp:P41082)
- Raman Stokes-shift range (cm-1) (orkgp:P41083)
- Raman-spectral resolution (cm-1) (orkgp:P41084)
- Infrared range (cm-1) (orkgp:P41085)
- Rock type (orkgp:P41086)
- Olivine-2 (cm-1) (orkgp:P41087)
- Orthopyroxene-3 (cm-1) (orkgp:P41088)
- Pyroxene-2 (cm-1) (orkgp:P41090)
- Pyroxene-4 (cm-1) (orkgp:P41091)
- Agglutinates-1 (Glass) (cm-1) (orkgp:P41092)
- Agglutinates-3 (Glass) (cm-1) (orkgp:P41093)
- Relavance (orkgp:P41094)
- K-Feldspar-1 (cm-1) (orkgp:P41095)
- Olivine-1 (cm-1) (orkgp:P41096)
- Orthopyroxene-1 (cm-1) (orkgp:P41097)
- Orthopyroxene-2 (cm-1) (orkgp:P41098)
- Plagioclase-1 (cm-1) (orkgp:P41099)
- Plagioclase-2 (cm-1) (orkgp:P41100)
- RE-Whitlockite-2(cm-1) (orkgp:P41101)
- Pyroxene-1 (cm-1) (orkgp:P41103)
- Orthopyroxene-4 (cm-1) (orkgp:P41105)
- Plagioclase-4 (cm-1) (orkgp:P41106)
- RE-Whitlockite-1 (cm-1) (orkgp:P41107)
- Clinopyroxene (augite)-1 (cm-1) (orkgp:P41108)
- Epoxy resin (cm-1) (orkgp:P41109)
- Baddeleyite (cm-1) (orkgp:P41110)
- Apatite (cm-1) (orkgp:P41111)
- Quartz-2 (cm-1) (orkgp:P41112)
- Cristobalite-1(cm-1) (orkgp:P41113)
- Cristobalite-2 (cm-1) (orkgp:P41114)
- Plagioclase-3 (cm-1) (orkgp:P41115)
- Anorthite (cm-1) (orkgp:P41116)
- Agglutinates-2 (Glass) (cm-1) (orkgp:P41117)
- ilmenite (cm-1) (orkgp:P41118)
- K-Feldspar-2 (cm-1) (orkgp:P41119)
- Quartz-1 (cm-1) (orkgp:P41120)
- Pigeonite (cm-1) (orkgp:P41121)
- Clinopyroxene (augite)-3 (cm-1) (orkgp:P41122)
- Clinopyroxene (augite)-2 (cm-1) (orkgp:P41124)
- Pyroxene-3 (cm-1) (orkgp:P41125)
- Excitation Frequency/Wavelength (nm) (orkgp:P41126)
- Cristobalite-1 (cm-1) (orkgp:P41127)
- Ontology name (orkgp:P41128)
- Reused ontology (orkgp:P41130)
- spatial level (orkgp:P41131)
- Physical level (orkgp:P41132)
- Socio-economic level (orkgp:P41133)
- Activity level (orkgp:P41134)
- Information level (orkgp:P41135)
- Technology level (orkgp:P41136)
- Administration level (orkgp:P41137)
- Service level (orkgp:P41138)
- Transportation level (orkgp:P41139)
- Safety and risk management level (orkgp:P41140)
- Environmental level (orkgp:P41141)
- Ontology availability (orkgp:P41142)
- Agent level (orkgp:P41144)
- Other levels (orkgp:P41145)
- Reused model (orkgp:P41146)
- Study cohort (orkgp:P41147)
- Outcome assessment (orkgp:P41148)
- Aims (orkgp:P41149)
- Type of inorganic nanoparticles (orkgp:P41150)
- Research_objective (orkgp:P41151)
- Research_plan (orkgp:P41152)
- Spec_wllow (orkgp:P41153)
- Unit_spec (orkgp:P41154)
- Spec_wlup (orkgp:P41155)
- VUV (orkgp:P41156)
- Input_power (orkgp:P41157)
- Unit_input_power (orkgp:P41158)
- Unit_frequency (orkgp:P41159)
- Feed_gases (orkgp:P41160)
- Ambient_atmosphere (orkgp:P41161)
- Te (orkgp:P41162)
- Unit_Te (orkgp:P41163)
- Ne (orkgp:P41164)
- Unit_Ne (orkgp:P41165)
- OES (orkgp:P41166)
- Gas _flow _rate (orkgp:P41167)
- Unit_gas_flow_rate (orkgp:P41168)
- T_gas (orkgp:P41169)
- Unit_gas (orkgp:P41170)
- Part_density{O,N,OH,O_3,Ar*} (orkgp:P41171)
- Unit_part_density (orkgp:P41172)
- PROES (orkgp:P41173)
- TALIFF (orkgp:P41174)
- OAS (orkgp:P41175)
- Mass spectrometry (orkgp:P41176)
- Unit_wllow (orkgp:P41177)
- Unit_wlup (orkgp:P41178)
- Plasma_discharge (orkgp:P41179)
- Sensing material (orkgp:P41181)
- Sensitivity of the glucose biosensor (mA/cm². mM) (orkgp:P41182)
- Linear range (mM) (orkgp:P41183)
- Limit of detection (ppm) (orkgp:P41185)
- Minimum experimental range (orkgp:P41186)
- Maximum experimental range (orkgp:P41187)
- Sensing environment (orkgp:P41188)
- Maximum experimental range (ppm) (orkgp:P41189)
- Minimum experimental range (ppm) (orkgp:P41190)
- RDF Graph (orkgp:P41192)
- Learning purpose (orkgp:P41193)
- Carbon footprint (orkgp:P41195)
- Prototype extraction tool (orkgp:P41196)
- Type of industry (orkgp:P41197)
- Positioning in the logistics chain (orkgp:P41198)
- Decision-making level (orkgp:P41199)
- Type of process (orkgp:P41200)
- Workshop type (orkgp:P41202)
- Resolution methods (orkgp:P41203)
- Business architecture (orkgp:P41206)
- Processing (orkgp:P41207)
- Water/hydrous (nm) (orkgp:P41208)
- Ferric/hydroxides (nm) (orkgp:P41209)
- Fayalitic olivine (nm) (orkgp:P41210)
- Iron-magnesium smectites (nm) (orkgp:P41211)
- Iron-rich nontronite (nm) (orkgp:P41212)
- Magnesium-rich saponite (nm) (orkgp:P41213)
- Ferrous (Fe-smectite clays / olivine) (nm) (orkgp:P41214)
- OH stretch/overtone (nm) (orkgp:P41215)
- Volcanic glass (nm) (orkgp:P41216)
- Saponite (nm) (orkgp:P41217)
- Montmorillonite (nm) (orkgp:P41218)
- High-Fe chlorites (nm) (orkgp:P41219)
- Mica minerals (illite and/or muscovite) (nm) (orkgp:P41220)
- Kaolinite (nm) (orkgp:P41221)
- Al-bearing phyllosilicates (Al-OH) (nm) (orkgp:P41222)
- Opal (nm) (orkgp:P41223)
- Dickite (nm) (orkgp:P41224)
- Mg-Carbonate (nm) (orkgp:P41225)
- Ca-Carbonate (nm) (orkgp:P41226)
- Fe-Carbonate (nm) (orkgp:P41227)
- Carbonates (nm) (orkgp:P41228)
- Nanophase ferric oxide (nm) (orkgp:P41229)
- Fine-grained olivine (nm) (orkgp:P41230)
- High calcium Pyroxene (nm) (orkgp:P41231)
- Molecular water (nm) (orkgp:P41232)
- Water ice (nm) (orkgp:P41233)
- Carbon-di-oxide Ice (nm) (orkgp:P41234)
- Unaltered hydrated glass (nm) (orkgp:P41235)
- Mono/polyhydrated sulfate mixture (nm) (orkgp:P41236)
- Crystalline ferric oxide (hematite) (nm) (orkgp:P41237)
- Water overtone (nm) (orkgp:P41238)
- Absorbed water (nm) (orkgp:P41239)
- Users' engagement (orkgp:P41240)
- Museum involved (orkgp:P41242)
- Language of smart objects' description (orkgp:P41243)
- Has user interaction modality (orkgp:P41245)
- Has number of user interactions (orkgp:P41246)
- Has number of perspectives (orkgp:P41247)
- has pageviews (orkgp:P41248)
- has subject domain (orkgp:P41249)
- digtal resource observation length (orkgp:P41250)
- museum collection (orkgp:P41251)
- Data (orkgp:P41252)
- has cross-border region (orkgp:P41253)
- Data (orkgp:P41254)
- Material (orkgp:P41255)
- discusses method (orkgp:P41256)
- has sources (orkgp:P41257)
- type of contested heritage (orkgp:P41258)
- has stakeholder (orkgp:P41259)
- Material (orkgp:P41260)
- Data (orkgp:P41261)
- heritage site (orkgp:P41262)
- materal (orkgp:P41263)
- has communication channel (orkgp:P41264)
- Illite (orkgp:P41265)
- Muscovite (orkgp:P41266)
- Link (orkgp:P41267)
- Material (orkgp:P41268)
- Process (orkgp:P41269)
- Data architecture (orkgp:P41270)
- Application architecture (orkgp:P41271)
- Technology architecture (orkgp:P41272)
- Natural environment (orkgp:P41273)
- Built environment (orkgp:P41274)
- Water and waste (orkgp:P41275)
- Transport (orkgp:P41276)
- Energy (orkgp:P41277)
- Education, culture, innovation & science (orkgp:P41278)
- Health, well-being & safety (orkgp:P41279)
- Governance and citizen engagement (orkgp:P41280)
- ICT (orkgp:P41281)
- Material (orkgp:P41282)
- has size of area to be renovated in sq.m. (orkgp:P41283)
- Technology type (orkgp:P41284)
- Heater material (orkgp:P41285)
- Working fluid (orkgp:P41286)
- Bandwidth (Hz) (orkgp:P41287)
- Power (mW) (orkgp:P41288)
- Temperature sensor type (orkgp:P41289)
- Resolution/ noise (mg) (orkgp:P41290)
- Sensitivity (mV/g) (orkgp:P41291)
- Linearity range (g) (orkgp:P41292)
- has smart city instance (orkgp:P41294)
- Data (orkgp:P41295)
- Process (orkgp:P41296)
- Process (orkgp:P41297)
- Data (orkgp:P41298)
- has a stage (orkgp:P41299)
- has a subject domain (orkgp:P41300)
- Data (orkgp:P41301)
- Material (orkgp:P41302)
- Material (orkgp:P41303)
- Data (orkgp:P41304)
- Method (orkgp:P41305)
- has dubject domain (orkgp:P41306)
- Material (orkgp:P41307)
- Data (orkgp:P41308)
- has mentors (orkgp:P41309)
- has research domain (orkgp:P41310)
- Data (orkgp:P41311)
- Process (orkgp:P41312)
- Unit of the particle size of nanoparticle (orkgp:P41314)
- Colitis model (orkgp:P41315)
- performance title (orkgp:P41316)
- dance group (orkgp:P41317)
- Has evaluation task (orkgp:P41318)
- Terms learning (orkgp:P41319)
- Axiom learning (orkgp:P41320)
- Properties learning (orkgp:P41321)
- Properties hierarchy learning (orkgp:P41322)
- Class hierarchy learning (orkgp:P41324)
- Learning method (orkgp:P41325)
- Relationship learning (orkgp:P41326)
- Learning tool (orkgp:P41327)
- Implemented framework (orkgp:P41328)
- Expressivity (orkgp:P41329)
- Application site (orkgp:P41330)
- RDBM name (orkgp:P41331)
- OWL type (orkgp:P41332)
- Integrity constraints (orkgp:P41333)
- Existing ontologies (orkgp:P41334)
- Field data (orkgp:P41335)
- Goethite (nm) (orkgp:P41336)
- Gibbsite (nm) (orkgp:P41337)
- Bauxite dominant laterite bauxite (nm) (orkgp:P41338)
- Band ratio (orkgp:P41339)
- Amphibolite (nm) (orkgp:P41340)
- Anorthosites (nm) (orkgp:P41341)
- Charnockite (nm) (orkgp:P41342)
- Pink Magmatite (nm) (orkgp:P41343)
- Hornblende biotite gneiss (nm) (orkgp:P41344)
- Granite (nm) (orkgp:P41345)
- Fluvial (nm) (orkgp:P41346)
- Phyllosilicates (nm) (orkgp:P41347)
- Fe-OH bearing minerals (nm) (orkgp:P41348)
- Mg-OH bearing minerals (nm) (orkgp:P41349)
- Limestone (nm) (orkgp:P41350)
- Magnetite quartzite (nm) (orkgp:P41351)
- Garnetiferrous pyroxene granulite (nm) (orkgp:P41352)
- Garnetiferrous pyroxene granulite (nm) (orkgp:P41353)
- Magnetite (ferric ion) (nm) (orkgp:P41354)
- Magnetite (ferric iron) (nm) (orkgp:P41355)
- Dunite (nm) (orkgp:P41356)
- Orthoclase (nm) (orkgp:P41357)
- Biotite (nm) (orkgp:P41358)
- Muscovite (nm) (orkgp:P41359)
- Iron oxide (nm) (orkgp:P41360)
- Country rocks (nm) (orkgp:P41361)
- Uses Climate Scenario (orkgp:P41362)
- Average Global End-Century Warming (orkgp:P41364)
- Has Ensemble Size (orkgp:P41365)
- Uses Climate Scenario (orkgp:P41366)
- Average Global Mid-Century Warming (orkgp:P41367)
- Average Global End-Century Warming (orkgp:P41368)
- Has Ensemble Size (orkgp:P41369)
- Uses Climate Scenario (orkgp:P41370)
- Average Global Mid-Century Warming (orkgp:P41371)
- Average Global End-Century Warming (orkgp:P41372)
- Has Ensemble Size (orkgp:P41373)
- Uses Climate Scenario (orkgp:P41374)
- Average Global Mid-Century Warming (orkgp:P41375)
- Average Global End-Century Warming (orkgp:P41376)
- Has Ensemble Size (orkgp:P41377)
- Coastal ocean sampling (orkgp:P41378)
- Open ocean sampling (orkgp:P41379)
- Sampling depth covered (m) (orkgp:P41380)
- Lower limit (total N uptake) (orkgp:P41381)
- Upper limit (total N uptake) (orkgp:P41382)
- Uptake rate HAS_UNIT (orkgp:P41383)
- Uptake unit is different in paper (orkgp:P41384)
- Minerals mapped (orkgp:P41385)
- Phyllite (nm) (orkgp:P41386)
- Si-O (nm) (orkgp:P41387)
- Alunite (Opalized rock) (nm) (orkgp:P41388)
- Opalized rock (nm) (orkgp:P41389)
- Argillized rock (nm) (orkgp:P41390)
- Kaolinite ( Argillized rock) (nm) (orkgp:P41391)
- Hematite (nm) (orkgp:P41392)
- Silicified rock (Si-O) (nm) (orkgp:P41393)
- Phyllite (Si-O) (nm) (orkgp:P41394)
- Buddingtonite (nm) (orkgp:P41395)
- Calcite (nm) (orkgp:P41396)
- Si-O-H (nm) (orkgp:P41397)
- Playa (nm) (orkgp:P41398)
- Tuff (nm) (orkgp:P41399)
- illite (nm) (orkgp:P41400)
- Chlorite (nm) (orkgp:P41401)
- Carbonate (nm) (orkgp:P41402)
- Clay minerls (nm) (orkgp:P41403)
- Field instrument (orkgp:P41404)
- Field work (orkgp:P41405)
- Quartz (nm) (orkgp:P41406)
- Actinol (nm) (orkgp:P41407)
- Jarosite (nm) (orkgp:P41408)
- Pigeonite (nm) (orkgp:P41409)
- Augite (nm) (orkgp:P41410)
- Albite (nm) (orkgp:P41411)
- Mirabilite (nm) (orkgp:P41412)
- Salt (nm) (orkgp:P41413)
- Scolecite (nm) (orkgp:P41414)
- Gray hematite (nm) (orkgp:P41415)
- Banded Hematite Quartz (BHQ) (nm) (orkgp:P41416)
- Blue hematite (nm) (orkgp:P41417)
- Laminated ore (nm) (orkgp:P41418)
- Lateritic ore (nm) (orkgp:P41419)
- Geothite (nm) (orkgp:P41420)
- OH (nm) (orkgp:P41421)
- Al-OH (nm) (orkgp:P41422)
- H2O (nm) (orkgp:P41423)
- Greyish brown loam (nm) (orkgp:P41424)
- Kaosmec altered mineral (nm) (orkgp:P41425)
- Dolomite (nm) (orkgp:P41426)
- Phlogopite (nm) (orkgp:P41427)
- L1-L2 pairs (orkgp:P41428)
- Language Genus (orkgp:P41429)
- Consumption and income (orkgp:P41430)
- Land and ecosystems (orkgp:P41431)
- Air quality (orkgp:P41432)
- Energy resources (orkgp:P41433)
- Mineral resources (orkgp:P41434)
- Financial capital (orkgp:P41435)
- Labour (orkgp:P41436)
- Climate (orkgp:P41437)
- Physical capital (orkgp:P41438)
- Leisure (orkgp:P41439)
- Institutions (orkgp:P41440)
- Trust (orkgp:P41441)
- Physical safety (orkgp:P41442)
- Subjective well-being (orkgp:P41443)
- Nutrition (orkgp:P41444)
- Knowledge capital (orkgp:P41445)
- Thickness of the dielectric layer (microns) (orkgp:P41446)
- Relative dielectric constant (orkgp:P41447)
- Apparent capacitance - Ca (pF) (orkgp:P41448)
- Real down-state capacitance - Cr (pF) (orkgp:P41449)
- Capacitances ratio (Cr/ Ca) (orkgp:P41450)
- Contact area (microns2) (orkgp:P41451)
- MEMS switch type (orkgp:P41452)
- Structures and organisations (orkgp:P41453)
- Processes (orkgp:P41454)
- Roles and responsibilities (orkgp:P41455)
- Technology and data (orkgp:P41456)
- Legislation and policies (orkgp:P41457)
- Exchange arragements (orkgp:P41458)
- Aggregate-based measures (orkgp:P41460)
- Component-based measures (orkgp:P41461)
- Substantive outputs (orkgp:P41462)
- Procedural changes (orkgp:P41463)
- Degree of autonomy (orkgp:P41464)
- Local conditions (orkgp:P41465)
- Total N uptake (lower limit) (summer monsoon) (orkgp:P41466)
- Total N uptake (upper limit) (summer monsoon) (orkgp:P41467)
- Uptake rate unit (orkgp:P41468)
- Mixed layer depth (meter) (lower limit) (orkgp:P41469)
- Mixed layer depth (meter) (upper limit) (orkgp:P41470)
- Uptake rate unit is different in paper (orkgp:P41471)
- NO3 uptake (lower limit) (fall inter-monsoon) (orkgp:P41472)
- NO3 uptake (upper limit) (fall inter-monsoon) (orkgp:P41473)
- NH4 uptake (lower limit) (fall inter-monsoon) (orkgp:P41474)
- NH4 uptake (upper limit) (fall inter-monsoon) (orkgp:P41475)
- Urea uptake (lower limit) (fall inter-monsoon) (orkgp:P41476)
- Urea uptake (upper limit) (fall inter- monsoon) (orkgp:P41477)
- Total N uptake (lower limit) (fall inter-monsoon) (orkgp:P41478)
- Total N uptake (upper limit) (fall inter-monsoon) (orkgp:P41479)
- NO3 uptake (lower limit) (winter monsoon) (orkgp:P41480)
- NO3 uptake (upper limit) (winter monsoon) (orkgp:P41481)
- NH4 uptake (lower limit) (winter monsoon) (orkgp:P41482)
- NH4 uptake (upper limit) (winter monsoon) (orkgp:P41483)
- Total N uptake (lower limit) (winter monsoon) (orkgp:P41484)
- Total N uptake (upper limit) (winter monsoon) (orkgp:P41485)
- NO3 uptake (lower limit) (spring inter-monsoon) (orkgp:P41486)
- NO3 uptake (lower limit) (summer monsoon) (orkgp:P41487)
- NO3 uptake (upper limit) (spring inter-monsoon) (orkgp:P41488)
- NO3 uptake (upper limit) (summer monsoon) (orkgp:P41489)
- NH4 uptake (lower limit) (spring inter-monsoon) (orkgp:P41490)
- NH4 uptake (lower limit) (summer monsoon) (orkgp:P41491)
- NH4 uptake (upper limit) (spring inter-monsoon) (orkgp:P41492)
- NH4 uptake (upper limit) (summer monsoon) (orkgp:P41493)
- Urea uptake (lower limit) (spring inter-monsoon) (orkgp:P41494)
- Urea uptake (lower limit) (summer monsoon) (orkgp:P41495)
- Urea uptake (upper limit) (spring inter-monsoon) (orkgp:P41496)
- Urea uptake (upper limit) (summer monsoon) (orkgp:P41497)
- Total N uptake (lower limit) (spring inter-monsoon) (orkgp:P41498)
- Total N uptake (upper limit) (spring inter-monsoon) (orkgp:P41499)
- Sea surface temperature (degree Celsius) (lower limit) (orkgp:P41500)
- Sea surface temperature (degree Celsius) (upper limit) (orkgp:P41501)
- Sea surface salinity (lower limit) (orkgp:P41502)
- Sea surface salinity (upper limit) (orkgp:P41503)
- Remark (orkgp:P41504)
- NO3 uptake (lower limit) (austral summer) (orkgp:P41505)
- NO3 uptake (upper limit) (austral summer) (orkgp:P41506)
- NH4 uptake (lower limit) (austral summer) (orkgp:P41507)
- NH4 uptake (upper limit) (austral summer) (orkgp:P41508)
- Total N uptake (lower limit) (austral summer) (orkgp:P41509)
- Total N uptake (upper limit) (austral summer) (orkgp:P41510)
- Sampling depth (meter) (lower limit) (orkgp:P41511)
- Sampling depth (meter) (upper limit) (orkgp:P41512)
- Average N2 fixation rate (orkgp:P41513)
- Average N2 fixation rate unit (orkgp:P41514)
- Depth integrated N2 fixation rate (lower limit) (orkgp:P41515)
- Depth integrated N2 fixation rate (upper limit) (orkgp:P41516)
- Depth integrated N2 fixation rate unit (orkgp:P41517)
- Volumetric N2 fixation rate (lower limit) (orkgp:P41518)
- Volumetric N2 fixation rate (upper limit) (orkgp:P41519)
- Volumetric N2 fixation rate unit (orkgp:P41520)
- Average N2 fixation rate (summer) (orkgp:P41521)
- Average N2 fixation rate (spring) (orkgp:P41522)
- N2 fixation rate unit is different in paper (orkgp:P41523)
- Type of nanoparticles (orkgp:P41524)
- Mechanism of Antiviral Action (orkgp:P41525)
- vuvspec_irradiance (orkgp:P41526)
- Unit_vuvspec_irradiance (orkgp:P41527)
- Pressure (orkgp:P41528)
- Unit_pressure (orkgp:P41529)
- Developed at (orkgp:P41530)
- Developed by (orkgp:P41531)
- Evaluation metrics (orkgp:P41532)
- has novel approach (orkgp:P41533)
- Outcome (orkgp:P41534)
- Impact (orkgp:P41535)
- Hard smartness (orkgp:P41536)
- Soft smartness (orkgp:P41537)
- Total participants (orkgp:P41538)
- Other resources (orkgp:P41540)
- as (orkgp:P41541)
- Spectral_lines (orkgp:P41543)
- Target gas (orkgp:P41545)
- Target gas concentration (ppm) (orkgp:P41547)
- Response (%) (orkgp:P41549)
- Response time (s) (orkgp:P41550)
- Recovery time (s) (orkgp:P41551)
- Nanomaterial (orkgp:P41552)
- vuvspec_irradiance [Ar I, Ar II] (orkgp:P41553)
- vuvspec_irradiance [Al I, Al II, C$$_x$$F$$_y$$, Ne,I, Xe I, He I] (orkgp:P41554)
- vuvspec_irradiance [H I,H$$_2$$N I,N$$_2$$,O I] (orkgp:P41555)
- Minimum temperature (C) (orkgp:P41556)
- Maximum temperature (C) (orkgp:P41557)
- Has a unit (orkgp:P41558)
- has composite indicator (orkgp:P41559)
- Components of smart city governance (orkgp:P41561)
- published by (orkgp:P41566)
- Number of identified species with current taxonomy (orkgp:P41567)
- Geographic scale (Km²) (orkgp:P41568)
- Film thickness (nm) (orkgp:P41569)
- Film orientation (orkgp:P41570)
- Surface roughness (nm) (orkgp:P41571)
- Components of the smart city governance_Stakeholders (orkgp:P41572)
- Components of the smart city governance_Structures and organisations (orkgp:P41573)
- Components of the smart city governance_Processes (orkgp:P41574)
- Components of the smart city governance_Roles and responsibilities (orkgp:P41575)
- Components of the smart city governance_Technology and data (orkgp:P41576)
- Components of the smart city governance_Legislation and policies (orkgp:P41577)
- Components of the smart city governance_Exchange arragements (orkgp:P41578)
- Measurements_Aggregate-based measures (orkgp:P41579)
- Measurements_Component-based measures (orkgp:P41580)
- Contextual factors_Degree of autonomy (orkgp:P41581)
- Contextual factors_Local conditions (orkgp:P41582)
- Outcomes_Substantive outputs (orkgp:P41583)
- Outcomes_Procedural changes (orkgp:P41584)
- Registry Established Year (orkgp:P41585)
- Executive (orkgp:P41586)
- IS Electronic Health Record-based (orkgp:P41587)
- Readout (orkgp:P41589)
- Temporal character (orkgp:P41590)
- Self-referencing (orkgp:P41591)
- Patient cohort (orkgp:P41592)
- Sensitivity CAD-System (orkgp:P41593)
- Specificity CAD-System (orkgp:P41594)
- Sensitivity Radiologist (orkgp:P41595)
- Specificity Radiologist (orkgp:P41596)
- AUC without AI (orkgp:P41598)
- AUC with AI (orkgp:P41599)
- Imaging modality (orkgp:P41600)
- Chemical group (orkgp:P41601)
- AUC (with artificial intelligence) (orkgp:P41603)
- 95% confidence interval (without AI) (orkgp:P41604)
- 95% confidence interval (with AI) (orkgp:P41605)
- Ratiometric (orkgp:P41606)
- vaccine name (orkgp:P41607)
- Target antigen (orkgp:P41608)
- Delivery Vehicle (orkgp:P41609)
- Delivery Route (orkgp:P41610)
- Phase (orkgp:P41611)
- Related work (orkgp:P41612)
- Link to research paper (orkgp:P41613)
- Taxonomic learning (orkgp:P41614)
- Validation tool (orkgp:P41615)
- Timeline (orkgp:P41617)
- SKOS ontology (orkgp:P41633)
- VANN ontology (orkgp:P41634)
- dc ontology (orkgp:P41635)
- Goodrelations ontology (orkgp:P41637)
- om ontology (orkgp:P41638)
- oldssn ontology (orkgp:P41639)
- ucum ontology (orkgp:P41640)
- muo ontology (orkgp:P41641)
- qu ontology (orkgp:P41642)
- QUDT ontology (orkgp:P41643)
- Geonames ontology (orkgp:P41644)
- GeoSPARQL ontology (orkgp:P41645)
- Geo ontology (orkgp:P41646)
- Timezone ontology (orkgp:P41647)
- Timeline ontology (orkgp:P41648)
- OWL-Time ontology (orkgp:P41649)
- Dcterms ontology (orkgp:P41650)
- FOAF ontology (orkgp:P41651)
- prov ontology (orkgp:P41652)
- Schema ontology (orkgp:P41653)
- DUL ontology (orkgp:P41654)
- pretraining corpus (orkgp:P41655)
- Testing corpus (orkgp:P41656)
- Sensors (orkgp:P41659)
- Fieldwork (orkgp:P41660)
- Outcomes (orkgp:P41661)
- Techniques/Analysis (orkgp:P41662)
- Ontology ID (orkgp:P41663)
- Ontology IRI (orkgp:P41664)
- Ontologies which have been used as referenced (orkgp:P41666)
- Ontologies which have been used as imported (orkgp:P41667)
- Ontologies which have been used as referenced as metadata (orkgp:P41668)
- Gauge Factor (GF) (orkgp:P41669)
- Strain range (%) (orkgp:P41670)
- Nanomaterials (orkgp:P41671)
- Sensitivity of the glucose sensor (mA/cm². mM) (orkgp:P41672)
- limit of detection (mM) (orkgp:P41673)
- Sensor Measurements (orkgp:P41674)
- Minerals in consideration (orkgp:P41675)
- Instruments (orkgp:P41676)
- Raman laser used (orkgp:P41677)
- Orthosilicate (orkgp:P41678)
- silicate glasses (orkgp:P41679)
- symmterical alumina tetrahedral network (orkgp:P41680)
- [AlO4]- (orkgp:P41681)
- Si-O-Si symmetric stretching (orkgp:P41682)
- Antisymmetric Si-O stretching (orkgp:P41683)
- Antisymmetric Mg-OH translation (orkgp:P41684)
- Symmetric Mg-OH vibration (orkgp:P41685)
- Supplements (orkgp:P41686)
- Si-O-Si bending (orkgp:P41687)
- Si-O-Si translation (orkgp:P41688)
- Clinohumite (orkgp:P41689)
- Ti-Clinohumite (orkgp:P41690)
- two-layer chondrodite (orkgp:P41691)
- sonolite (orkgp:P41692)
- silicate norbergite (orkgp:P41693)
- Mg2SiO4 (orkgp:P41694)
- BO stretching vibrations (orkgp:P41696)
- SiO apical stretching (orkgp:P41697)
- ferroaxinite (orkgp:P41698)
- OBO bending (orkgp:P41699)
- ferroaxinite (FeO) (orkgp:P41700)
- ferroaxinite (OH) (orkgp:P41701)
- Joaquinite (OH) (orkgp:P41702)
- Hypothesis type (orkgp:P41703)
- Social-ecological processes (orkgp:P41704)
- Focal entity (orkgp:P41705)
- Behavioral traits (orkgp:P41706)
- Phenological traits (orkgp:P41707)
- Life history traits (orkgp:P41708)
- Other Species Traits (orkgp:P41709)
- Trait evolution (orkgp:P41710)
- Niche shift (orkgp:P41711)
- Abundance / density (orkgp:P41712)
- Community composition (orkgp:P41713)
- Species interactions (orkgp:P41714)
- Habitat quality (orkgp:P41715)
- Ecosystem functioning and services (orkgp:P41716)
- Driver of change (orkgp:P41717)
- Principles (orkgp:P41718)
- Cities are dynamic (orkgp:P41719)
- Cities are ecosystems (orkgp:P41720)
- Cities are spatially heterogeneous (orkgp:P41721)
- Ecological processes are still at work and are important in cities (orkgp:P41722)
- Human and natural processes interact in cities (orkgp:P41723)
- Relationships (orkgp:P41724)
- Invasion biology (orkgp:P41725)
- Climate change biology (orkgp:P41726)
- Community and population ecology (orkgp:P41727)
- Behavioral ecology (orkgp:P41728)
- Biogeography (orkgp:P41729)
- Evolutionary biology (orkgp:P41730)
- Restoration/Conservation ecology (orkgp:P41731)
- Genetics (orkgp:P41732)
- Emission maximum (nm) (orkgp:P41733)
- Membrane protein (orkgp:P41734)
- Fusion protein (orkgp:P41735)
- Cargo (orkgp:P41736)
- Loading effeciency (orkgp:P41737)
- In vitro effects (orkgp:P41738)
- In vivo effects (orkgp:P41739)
- Type of nanocarrier (orkgp:P41740)
- Typical prefix (orkgp:P41741)
- Output/Application (orkgp:P41742)
- Therapeutic effects of the carrier (orkgp:P41743)
- contribution:research_problem/Line broadening in plasmas/Research_objetive (orkgp:P41744)
- paper:type (orkgp:P41745)
- Atomic_property (orkgp:P41746)
- Atomic_property/Isoelectronicity/type (orkgp:P41747)
- Atomic_property/Ionization_state/type (orkgp:P41748)
- Atomic_property/transitions/type (orkgp:P41749)
- Spectroscopy_property (orkgp:P41750)
- Spectroscopy_property/spectral_range/type (orkgp:P41751)
- Plasma_property (orkgp:P41752)
- Plasma_property/plasma_discharge/type (orkgp:P41753)
- Comparison_to (orkgp:P41754)
- Plasma_property/Te/value (orkgp:P41755)
- Plasma_property/Te/unit (orkgp:P41756)
- Plasma_property/Ne/value (orkgp:P41757)
- Plasma_property/Ne/unit (orkgp:P41758)
- Line broadening in plasmas/Research_objetive (orkgp:P41759)
- Isoelectronicity/type (orkgp:P41760)
- Ionization_state/type (orkgp:P41761)
- transitions/type (orkgp:P41762)
- spectral_range/type (orkgp:P41763)
- plasma_discharge/type (orkgp:P41764)
- Te/value (orkgp:P41765)
- Te/unit (orkgp:P41766)
- Ne/value (orkgp:P41767)
- Ne/unit (orkgp:P41768)
- properties (orkgp:P41769)
- properties/Atomic_property/type (orkgp:P41770)
- properties/Atomic_property/type/Isoelectronicity/type (orkgp:P41771)
- properties/Atomic_property/type/Ionization_state/type (orkgp:P41772)
- properties/Atomic_property/type/transitions/type (orkgp:P41773)
- properties/Spectroscopy_property/type (orkgp:P41774)
- properties/Spectroscopy_property/type/spectral_range/type (orkgp:P41775)
- properties/Plasma_property/type (orkgp:P41776)
- properties/Plasma_property/type/plasma_discharge/type (orkgp:P41777)
- properties/Plasma_property/type/Te/value (orkgp:P41778)
- properties/Plasma_property/type/Te/unit (orkgp:P41779)
- properties/Plasma_property/type/Ne/value (orkgp:P41780)
- properties/Plasma_property/type/Ne/unit (orkgp:P41781)
- Surface functionalized with (orkgp:P41782)
- Surface functionalized with (orkgp:P41783)
- research_problem/Line broadening in plasmas/Research_objetive (orkgp:P41784)
- Properties/Atomic_properties/type (orkgp:P41785)
- Properties/Atomic_properties/type/Isoelectronicity/value (orkgp:P41786)
- Properties/Atomic_properties/type/Ionization_state/value (orkgp:P41787)
- Properties/Atomic_properties/type/transitions/value (orkgp:P41788)
- Properties/Spectroscopy_properties/type (orkgp:P41789)
- Properties/Spectroscopy_properties/type/spectral_range/value (orkgp:P41790)
- Properties/Plasma_properties/type (orkgp:P41791)
- Properties/Plasma_properties/type/plasma_discharge/value (orkgp:P41792)
- Properties/Plasma_properties/type/Te/value (orkgp:P41793)
- Properties/Plasma_properties/type/Te/unit (orkgp:P41794)
- Properties/Plasma_properties/type/Ne/value (orkgp:P41795)
- Efficiency compared to non-functionalized nanoparticles (orkgp:P41797)
- research_problem/Line broadening in plasmas/Research_objetive* (orkgp:P41798)
- Properties/Atomic_properties/type* (orkgp:P41799)
- Properties/Atomic_properties/type/Isoelectronicity/value* (orkgp:P41800)
- Properties/Atomic_properties/type/Ionization_state/value* (orkgp:P41801)
- Properties/Atomic_properties/type/transitions/value* (orkgp:P41802)
- Properties/Spectroscopy_properties/type* (orkgp:P41803)
- Properties/Spectroscopy_properties/type/spectral_range/value* (orkgp:P41804)
- Properties/Plasma_properties/type* (orkgp:P41805)
- Properties/Plasma_properties/type/plasma_discharge/value* (orkgp:P41806)
- Properties/Plasma_properties/type/Te/value* (orkgp:P41807)
- Properties/Plasma_properties/type/Te/unit* (orkgp:P41808)
- Properties/Plasma_properties/type/Ne/value* (orkgp:P41809)
- Research_objetive (orkgp:P41812)
- has transitions (orkgp:P41813)
- Properties (orkgp:P41814)
- value (orkgp:P41815)
- described by (orkgp:P41816)
- reference (orkgp:P41817)
- Linked Ontology (orkgp:P41818)
- Epidemiological surveillance system purpose (orkgp:P41819)
- Epidemiological surveillance process (orkgp:P41820)
- Epidemiological surveillance users (orkgp:P41821)
- Statistical analysis techniques (orkgp:P41822)
- Epidemiological surveillance architecture (orkgp:P41823)
- Epidemiological surveillance software (orkgp:P41825)
- Epidemiological surveillance approach (orkgp:P41826)
- Epidemiological software development approach (orkgp:P41827)
- Ontology domains (orkgp:P41828)
- Bias (V) (orkgp:P41829)
- Requirements Satisfied (orkgp:P41830)
- Non-Requirements (orkgp:P41831)
- Modules (orkgp:P41832)
- implements (orkgp:P41833)
- function (orkgp:P41834)
- Documentation (orkgp:P41835)
- Focus on (orkgp:P41836)
- captures (orkgp:P41837)
- Evaluated on (orkgp:P41838)
- Photoresponsivity (A/W ) (orkgp:P41839)
- Rise time (s) (orkgp:P41841)
- Decay time (s) (orkgp:P41842)
- also known as (orkgp:P41843)
- trained for (orkgp:P41844)
- applied on (orkgp:P41845)
- Qualified by (orkgp:P41846)
- Paper type (orkgp:P41847)
- Research objective (orkgp:P41848)
- Rules (orkgp:P41849)
- Area (orkgp:P41850)
- paper:caategory (orkgp:P41852)
- Acronym_in_literature (orkgp:P41853)
- Transitions (orkgp:P41854)
- Ionization_state (orkgp:P41855)
- Comparison to (orkgp:P41856)
- Step 1 (orkgp:P41857)
- Step 2 (orkgp:P41858)
- scores (orkgp:P41859)
- has system characteristics (orkgp:P41860)
- Has measurement (orkgp:P41861)
- Mobility (cm2 /V.s) (orkgp:P41862)
- Subthreshold Swing (mV/dec) (orkgp:P41863)
- Threshold Voltage (V) (orkgp:P41864)
- current ratio (Ion/Ioff) (orkgp:P41865)
- Relation types (orkgp:P41866)
- Relation types (orkgp:P41870)
- Popular methods (orkgp:P41871)
- Data coverage (orkgp:P41872)
- Annotation (orkgp:P41873)
- Annotation details (orkgp:P41874)
- Number of relations (orkgp:P41875)
- Number of coreference links (orkgp:P41876)
- Number of coreference clusters (orkgp:P41877)
- Data domains (orkgp:P41878)
- Contribution description (orkgp:P41880)
- Study purpose (orkgp:P41881)
- Components (orkgp:P41882)
- Issue(s) Addressed (orkgp:P41883)
- Technologies Deployed (orkgp:P41884)
- Limit (orkgp:P41885)
- Number of sentences (orkgp:P41887)
- Symbol (orkgp:P41890)
- Average sensibility (orkgp:P41891)
- Average specificity (orkgp:P41892)
- Average MAcc (orkgp:P41893)
- Average F1-Score (orkgp:P41894)
- Number of statements (orkgp:P41895)
- Example statement (orkgp:P41896)
- Donor (orkgp:P41897)
- Acceptor (orkgp:P41898)
- Energy band gap (eV) (orkgp:P41899)
- LUMO (orkgp:P41900)
- LUMO (eV) (orkgp:P41901)
- HOMO (eV) (orkgp:P41902)
- Power conversion efficiency (%) (orkgp:P41903)
- Mobility type (orkgp:P41904)
- Mobility value (cm2/V.s) (orkgp:P41905)
- CAS number (orkgp:P41906)
- Mathematical model (orkgp:P41907)
- Experimental validation of mathematical model (orkgp:P41908)
- Mathematical model used In-silico study (orkgp:P41909)
- In-vivo study (orkgp:P41910)
- Theoretical guarantees (orkgp:P41911)
- Robustness analysis (orkgp:P41912)
- Class learning (orkgp:P41913)
- Implemented technologies (orkgp:P41914)
- Relationships learning (orkgp:P41915)
- Instance learning (orkgp:P41916)
- Taxonomy learning (orkgp:P41917)
- Dataset URL (orkgp:P41919)
- Link to the Dataset (orkgp:P41920)
- foo (orkgp:P41921)
- bar-baz (orkgp:P41922)
- Amount of Questions (orkgp:P41923)
- Domain (orkgp:P41924)
- Question Types (orkgp:P41925)
- Language (orkgp:P41926)
- Type of knowledge source (orkgp:P41927)
- question type (orkgp:P41928)
- Community QA (orkgp:P41929)
- Average mixed layer depth (meter) (orkgp:P41930)
- Material/Method (orkgp:P41931)
- Prochlorococcus abundance (lower limit) (orkgp:P41932)
- Prochlorococcus abundance (upper limit) (orkgp:P41933)
- Synechococcus abundance (lower limit) (orkgp:P41934)
- Synechococcus abundance (upper limit) (orkgp:P41935)
- Picoeukaryotes abundance (lower limit) (orkgp:P41936)
- Picoeukaryotes abundance (upper limit) (orkgp:P41937)
- Abundance unit (orkgp:P41938)
- Integrated Prochlorococcus abundance (lower limit) (orkgp:P41939)
- Integrated Prochlorococcus abundance (upper limit) (orkgp:P41940)
- Integrated Synechococcus abundance (lower limit) (orkgp:P41941)
- Integrated Synechococcus abundance (upper limit) (orkgp:P41942)
- Integrated Picoeukaryotes abundance (lower limit) (orkgp:P41943)
- Integrated Picoeukaryotes abundance (upper limit) (orkgp:P41944)
- Integrated abundance unit (orkgp:P41945)
- Average integrated Prochlorococcus abundance (orkgp:P41946)
- Average integrated Synechococcus abundance (orkgp:P41947)
- Average integrated Picoeukaryotes abundance (orkgp:P41948)
- Average integrated abundance unit (orkgp:P41949)
- Abundance unit is different in paper (orkgp:P41950)
- Volumetric primary production (upper limit) (orkgp:P41951)
- Volumetric primary production unit (orkgp:P41952)
- Depth integrated primary production (lower limit) (orkgp:P41953)
- Depth integrated primary production (upper limit) (orkgp:P41954)
- Depth integrated primary production unit (orkgp:P41955)
- Volumetric primary production (lower limit) (orkgp:P41956)
- Average primary production unit (orkgp:P41957)
- Optical period (M3) (orkgp:P41958)
- Data Level (M3) (orkgp:P41959)
- No. of Tiles (orkgp:P41960)
- Low-Ca pyroxene (nm) (orkgp:P41961)
- high-Ca pyroxene (nm) (orkgp:P41962)
- impact melt or melt breccias (nm) (orkgp:P41963)
- Orthopyroxenes (nm) (orkgp:P41964)
- Clinopyroxenes (nm) (orkgp:P41965)
- Supplementary information (orkgp:P41966)
- Fe-bearing Mg-rich spinel (nm) (orkgp:P41967)
- Clinopyroxene pigeonite (nm) (orkgp:P41968)
- Clinopyroxene pigeonite(nm) (orkgp:P41969)
- Clinopyroxene augite (nm) (orkgp:P41970)
- Chromite(nm) (orkgp:P41971)
- diopside (high-Ca clinopyroxene) (orkgp:P41972)
- diopside (high-Ca clinopyroxene) (nm) (orkgp:P41973)
- Other datasets (orkgp:P41974)
- Preprocesing (orkgp:P41975)
- Chlorite (Ferrous) (orkgp:P41976)
- Epidote(Ferrous) (orkgp:P41977)
- Alunite (AL-OH) (orkgp:P41978)
- Kaolinite (AL-OH) (orkgp:P41979)
- Muscovite (Al-OH) (orkgp:P41980)
- Biotite granodiorite gneiss(OH, tuff) (orkgp:P41981)
- Ferrous (orkgp:P41982)
- Ferric (orkgp:P41983)
- Ferric/Ferrous (orkgp:P41984)
- OH (orkgp:P41985)
- FeO (orkgp:P41986)
- Al-OH (orkgp:P41987)
- Carbonate alteration zone (orkgp:P41988)
- Source url (orkgp:P41989)
- Number of unique triples (orkgp:P41990)
- Number of tables (orkgp:P41991)
- Number of binary relations (orkgp:P41992)
- Number of 4-ary Relations (orkgp:P41994)
- Number of words (orkgp:P41995)
- Top three concepts (orkgp:P41996)
- Filtering (orkgp:P41998)
- has value (orkgp:P41999)
- Has unit (orkgp:P42000)
- HOMO (orkgp:P42001)
- Energy band gap (orkgp:P42002)
- Open circuit voltage, Voc (orkgp:P42003)
- Short-circuit current density, Jsc (orkgp:P42004)
- Fill factor, FF (orkgp:P42005)
- Power conversion efficiency (orkgp:P42006)
- Has type (orkgp:P42007)
- Number of unique words (orkgp:P42009)
- SPARQL query (orkgp:P42010)
- Data formats (orkgp:P42011)
- Technical challenges (orkgp:P42012)
- Total tags (orkgp:P42013)
- Semantic roles (orkgp:P42014)
- Detection range (°C) (orkgp:P42015)
- Sensitivity (nm/°C) (orkgp:P42016)
- Amplification factor (orkgp:P42017)
- Gas response (S=Ra/Rg) (orkgp:P42018)
- Skin model (orkgp:P42020)
- Permeation flux (orkgp:P42021)
- Permeation depth (orkgp:P42023)
- Normalization types (orkgp:P42024)
- Attribute types (orkgp:P42025)
- Subset (orkgp:P42026)
- combines (orkgp:P42027)
- Programmed in (orkgp:P42028)
- has Customer Interaction (orkgp:P43000)
- Has Software Products (orkgp:P43006)
- has business competence (orkgp:P43011)
- has organization competence (orkgp:P43012)
- has IS/IT competence (orkgp:P43013)
- has (public) policy competence (orkgp:P43014)
- has law competence (orkgp:P43015)
- has other competence (orkgp:P43016)
- has soft skills competences (orkgp:P43017)
- has character traits (orkgp:P43018)
- Field of application (orkgp:P43019)
- has analytical skills (orkgp:P43020)
- has self-management skills (orkgp:P43021)
- has other skills (orkgp:P43022)
- Assessment of acquired knowledge (orkgp:P43023)
- Models (orkgp:P43024)
- Number of tokens (orkgp:P43025)
- Has physical material interactions (orkgp:P43026)
- Shows market interactions (orkgp:P43027)
- Contains standard description of process (orkgp:P43028)
- Represents SCOR metrics (orkgp:P43029)
- Has best-in-class management practices (orkgp:P43032)
- Map of software products for best practices (orkgp:P43033)
- Represent vertices (orkgp:P43034)
- Represent edges (orkgp:P43035)
- Consider various materials (orkgp:P43036)
- Distinguish supply, demand (orkgp:P43037)
- Has objective (o) or subjectivist (s) conceptualization (orkgp:P43038)
- Represents SC vs SC (orkgp:P43039)
- Has Host (orkgp:P43040)
- Has mortality rate (orkgp:P43041)
- Has Virus (orkgp:P43044)
- Has incidence (orkgp:P43045)
- Has hospitation rate (orkgp:P43046)
- Cover level of granularity strategic (S), tactical (T) and operational (O) (orkgp:P43047)
- Follows methodological approach: inspiration (IS), induction (ID), deduction (D), synthesis (S), collaboration (C) and hybrid (H); evaluation (E) (orkgp:P43048)
- Scope an organizational extent: internal (I), dyadic relationship (D), external (E), inter-business network (N) (orkgp:P43049)
- Covers industry sector (orkgp:P43050)
- Communicates a purpose (orkgp:P43051)
- Offers an application (orkgp:P43052)
- Process (orkgp:P43053)
- Material (orkgp:P43054)
- Advantage provided by the system (orkgp:P43055)
- Limit of the system (orkgp:P43056)
- Process (orkgp:P43057)
- Material (orkgp:P43058)
- Data (orkgp:P43059)
- tokenizer (orkgp:P43065)
- General rules (orkgp:P43066)
- Specific Rules (orkgp:P43067)
- Number of unqiue entities (orkgp:P43068)
- Belongs to material group (orkgp:P43069)
- Has steps (orkgp:P43070)
- Uses variant (orkgp:P43072)
- Input indicator (orkgp:P43073)
- Process indicator (orkgp:P43074)
- Output indicator (orkgp:P43075)
- Outcome indicator (orkgp:P43076)
- Impact indicator (orkgp:P43077)
- has system qualities (orkgp:P43078)
- Has method in related works (orkgp:P43082)
- paper:author (orkgp:P43083)
- paper: publication_year (orkgp:P43084)
- paper:publised_in (orkgp:P43085)
- Qual List (orkgp:P43086)
- Ranking (orkgp:P43087)
- Technology (orkgp:P43088)
- Focus Group (orkgp:P43089)
- Emergency Management Phase (orkgp:P43090)
- paper: Theory / Concept / Model (orkgp:P43091)
- paper:Study Type (orkgp:P43092)
- Emergency Type (orkgp:P43093)
- RQ (orkgp:P43094)
- Type of Biosensor (orkgp:P43095)
- Reference Electrode (orkgp:P43096)
- LOD (µM) (orkgp:P43097)
- has form (orkgp:P43098)
- has functionality (orkgp:P43099)
- Has health (orkgp:P43100)
- has process (orkgp:P43101)
- has time (orkgp:P43102)
- has state (orkgp:P43103)
- has environment (orkgp:P43104)
- has miscellaneous qualitative (orkgp:P43105)
- Type of cyclodextrin (orkgp:P43106)
- decreases (orkgp:P43107)
- Does not cause (orkgp:P43109)
- increases (orkgp:P43110)
- has solubility (orkgp:P43111)
- increased in magnitude relative to (orkgp:P43112)
- has ocular bioavailability (orkgp:P43114)
- Has action duration (orkgp:P43115)
- Professional and social networking opportunities (orkgp:P43116)
- Has Xray resource (orkgp:P43118)
- has Xray string (orkgp:P43119)
- has permeation (orkgp:P43120)
- Has application in (orkgp:P43128)
- has installed photovoltaics capacity (orkgp:P43130)
- has installed onshore wind capacity (orkgp:P43132)
- Has installed capacity (orkgp:P43133)
- Has electricity generation (orkgp:P43134)
- Has energy sources (orkgp:P43135)
- has ion state (orkgp:P43136)
- Has Atomic resource (orkgp:P43137)
- hasGoal (orkgp:P43138)
- has time frame (orkgp:P43139)
- has disadvantage (orkgp:P43141)
- paper: Theory / Construct / Model (orkgp:P43142)
- Conclusions (orkgp:P43143)
- paper:key words (orkgp:P43144)
- provides input for (orkgp:P43145)
- simulates (orkgp:P43146)
- Reactor (orkgp:P43147)
- Conversion (orkgp:P43148)
- Product (orkgp:P43149)
- Photocatalyst (orkgp:P43150)
- Photocatalyst content (orkgp:P43151)
- Incident light (orkgp:P43152)
- Light intensity (orkgp:P43153)
- Degraded substance (orkgp:P43154)
- BET (orkgp:P43155)
- Efficiency (orkgp:P43156)
- After time (orkgp:P43157)
- Field spectra (orkgp:P43158)
- Techniques/Methods (orkgp:P43159)
- Geothite (orkgp:P43160)
- MgOH (orkgp:P43161)
- (FeMg)OH (orkgp:P43162)
- Talc (orkgp:P43163)
- Kaolinite (orkgp:P43164)
- Supplementary sources (orkgp:P43165)
- halloysite (orkgp:P43166)
- Fe-OH (orkgp:P43167)
- Dolomite (orkgp:P43168)
- Carbonates (orkgp:P43169)
- Calcite (orkgp:P43170)
- Clay (orkgp:P43171)
- Kimberlite (orkgp:P43172)
- Calcrete (orkgp:P43173)
- Montmorillonite (orkgp:P43174)
- Andesite (orkgp:P43175)
- Hematite (orkgp:P43176)
- Chlorite (orkgp:P43177)
- White mica (orkgp:P43178)
- Pyroxene (orkgp:P43180)
- Olivine (orkgp:P43181)
- Hydrated mineral (orkgp:P43182)
- Hydroxylated silica (orkgp:P43183)
- Molecular water (orkgp:P43184)
- Fe/Mg-OH (orkgp:P43185)
- Phyllosilicates (orkgp:P43186)
- Fe (Chamosite) (orkgp:P43187)
- Mg (orkgp:P43188)
- Prehnite (orkgp:P43189)
- Monohydrate (orkgp:P43190)
- Sulfate (orkgp:P43191)
- Hydrated silica (orkgp:P43192)
- ankerite (orkgp:P43193)
- serpentine (orkgp:P43194)
- smectite (orkgp:P43195)
- manganocalcite (orkgp:P43196)
- Plagioclase (orkgp:P43197)
- Supplimentary Information (orkgp:P43198)
- Detection range (microstrain) (orkgp:P43202)
- Sensitivity (pm/microstrain) (orkgp:P43203)
- DNA sequencing technology (orkgp:P43204)
- Zeolites (orkgp:P43205)
- Actinolite (orkgp:P43206)
- saponite (orkgp:P43207)
- Sulfates (orkgp:P43208)
- Kieserite (orkgp:P43209)
- monohydrated sulfates (orkgp:P43210)
- vermiculite clays (orkgp:P43211)
- Frequency (MHz) (orkgp:P43213)
- µef (cm2/ Vs) (orkgp:P43214)
- Minimum bending (mm) (orkgp:P43215)
- Channel length (nm) (orkgp:P43217)
- Average Prochlorococcus abundance (orkgp:P43218)
- Average Synechococcus abundance (orkgp:P43219)
- Average Picoeukaryotes abundance (orkgp:P43220)
- Average abundance unit (orkgp:P43221)
- Thickness (orkgp:P43222)
- Size (orkgp:P43223)
- Strain (%) (orkgp:P43224)
- Error (orkgp:P43225)
- Wavelength of maximum emission (orkgp:P43226)
- Emission lifetime (orkgp:P43227)
- Ground-state oxidation potential (orkgp:P43228)
- Ground-state reduction potential (orkgp:P43229)
- Excited-state oxidation potential (orkgp:P43230)
- Excited-state reduction potential (orkgp:P43231)
- has viewpoint (orkgp:P43234)
- Measured in (orkgp:P43238)
- Tagging scheme (orkgp:P43239)
- Annotators (orkgp:P43240)
- References to articles inside ACL ARC (orkgp:P43242)
- References to articles outside ACL ARC (orkgp:P43243)
- Number of authors (orkgp:P43244)
- Direction (orkgp:P43246)
- has upper limit (orkgp:P43247)
- has lower limit (orkgp:P43248)
- Has pipeline (orkgp:P43249)
- has reproducibility (orkgp:P43250)
- key insights (orkgp:P43251)
- Has dielectric constant (orkgp:P44000)
- Ozone concentration (orkgp:P44001)
- Measured at temperature (orkgp:P44002)
- Has effect (orkgp:P44004)
- Decomposition rate constant (orkgp:P44005)
- pH (orkgp:P44006)
- Extinction coefficient (orkgp:P44007)
- At wavelength (orkgp:P44008)
- Heat of ozone dissolution (orkgp:P44009)
- has value range (orkgp:P44010)
- Has measurement value (orkgp:P44011)
- Has measurement method (orkgp:P44012)
- Viewpoint (orkgp:P44013)
- has fidelity status (orkgp:P44014)
- has Temporal Integration (orkgp:P44015)
- Visualization (orkgp:P44017)
- Situational Awareness (orkgp:P44018)
- Planning and Prediction (orkgp:P44019)
- Integration and Collaboration (orkgp:P44020)
- Data management (orkgp:P44021)
- is measured in (orkgp:P44022)
- has previous step (orkgp:P44024)
- has next step (orkgp:P44025)
- starts with (orkgp:P44026)
- ends with (orkgp:P44027)
- Variables (orkgp:P44028)
- Variables (orkgp:P44034)
- affects (orkgp:P44036)
- N2O flux (lower limit) (orkgp:P44037)
- N2O flux (upper limit) (orkgp:P44038)
- N2O flux unit (orkgp:P44039)
- Average surface saturation of N2O (percent) (orkgp:P44040)
- Average N2O flux (orkgp:P44041)
- Average N2O flux unit (orkgp:P44042)
- Surface saturation of N2O (percent) (lower limit) (orkgp:P44043)
- Surface saturation of N2O (percent) (upper limit) (orkgp:P44044)
- Unit is different in paper (orkgp:P44045)
- Surface N2O (nM) (lower limit) (orkgp:P44046)
- Surface N2O (nM) (upper limit) (orkgp:P44047)
- Average surface N2O (nM) (orkgp:P44048)
- Application area (orkgp:P44049)
- Data Duration (orkgp:P44050)
- Mg-Orthopyroxene (orkgp:P44051)
- Low calcium Pyroxene (LCP) (orkgp:P44052)
- High Calcium Pyroxene (HCP) (orkgp:P44053)
- Datasets (orkgp:P44054)
- Softwares (orkgp:P44055)
- Field survey (orkgp:P44056)
- Features classified (orkgp:P44057)
- SAM Accuracy (%) (orkgp:P44058)
- Supplementry Information (orkgp:P44059)
- Type of etching mixture (orkgp:P44060)
- Primary etching solution (orkgp:P44061)
- Miller index (orkgp:P44062)
- Etching rate (orkgp:P44063)
- Measured in conditions (orkgp:P44064)
- Type of etching (orkgp:P44065)
- Has concentration (orkgp:P44066)
- Has concentration (orkgp:P44067)
- Carrier for hot melt extrusion (orkgp:P44068)
- Official dissolution media (USP 40) (orkgp:P44069)
- Dissolution Conditions (orkgp:P44070)
- Average CO2 flux (orkgp:P44071)
- Average CO2 flux unit (orkgp:P44072)
- Unit of CO2 flux is different in paper (orkgp:P44073)
- CO2 flux (lower limit) (orkgp:P44074)
- CO2 flux (upper limit) (orkgp:P44075)
- CO2 flux unit (orkgp:P44076)
- Volumetric dark C fixation (lower limit) (orkgp:P44077)
- Volumetric dark C fixation unit (orkgp:P44078)
- Average dark C fixation (orkgp:P44079)
- Average dark C fixation unit (orkgp:P44080)
- Dark C fixation unit is different in paper (orkgp:P44081)
- Volumetric dark C fixation (upper limit) (orkgp:P44082)
- Depth integrated dark C fixation (lower limit) (orkgp:P44083)
- Depth integrated dark C fixation (upper limit) (orkgp:P44084)
- Depth integrated dark C fixation unit (orkgp:P44085)
- tip diameter of Microneedles (orkgp:P44086)
- standard deviation (orkgp:P44087)
- basal diameter of Microneedles (orkgp:P44088)
- Total height of Microneedles (orkgp:P44089)
- Insulin loaded height of Microneedles (orkgp:P44090)
- Microneedles structure (orkgp:P44091)
- Insulin content (mIU / needle) (orkgp:P44092)
- Dose (orkgp:P44094)
- peak insulin concentration (Cmax) (orkgp:P44096)
- Relative bioavailability compared with subcutaneous injection (orkgp:P44098)
- Minimum glucose level (Cmin) (orkgp:P44099)
- Time to minimum glucose level (Tmin) (orkgp:P44100)
- Relative pharmacological availability compared to subcutaneous injection (orkgp:P44101)
- Time to peak insulin concentration (Tmax) (orkgp:P44102)
- Melting temperature (orkgp:P44103)
- Crystallinity (orkgp:P44105)
- minimum (orkgp:P44107)
- maximum (orkgp:P44108)
- Minimum time (orkgp:P44109)
- Maximum time (orkgp:P44110)
- has melting temperature (orkgp:P44111)
- Has glass-transistion temperature (orkgp:P44112)
- Has crystallinity (orkgp:P44113)
- Has life span (orkgp:P44114)
- has material form (orkgp:P44115)
- Has molecular weight (orkgp:P44116)
- Enzyme (orkgp:P44117)
- Experimental conditions (orkgp:P44118)
- Temperature (orkgp:P44119)
- Performed at temperature (orkgp:P44120)
- Processing time (orkgp:P44121)
- how much (orkgp:P44122)
- Sensing element nanomaterial (orkgp:P44123)
- Operating temperature ( ºC) (orkgp:P44124)
- Type of gas (orkgp:P44125)
- Measuring concentration (ppm) (orkgp:P44126)
- Recycling type (orkgp:P44128)
- Device Location (orkgp:P44129)
- Material (orkgp:P44130)
- Method (orkgp:P44131)
- language model (orkgp:P44132)
- Used to predict probabilities to word classes over the whole vocabulary. (orkgp:P44133)
- Used to predict probabilities to both word classes and members of the class vocabulary. (orkgp:P44134)
- Evaluates how the benefit of working with smaller vocabularies for numbers and geographic locations (orkgp:P44135)
- uses Micro-Models (orkgp:P44136)
- separates the predicted numbers and words (orkgp:P44137)
- Grammar (orkgp:P44138)
- question (orkgp:P44139)
- Knowledge Base (orkgp:P44140)
- Formal Language (orkgp:P44141)
- Answers (orkgp:P44142)
- Paraphrases (orkgp:P44143)
- Processing heuristics (orkgp:P44144)
- Task name (orkgp:P44145)
- Best score (orkgp:P44146)
- Entity types (orkgp:P44148)
- Number of mentions (orkgp:P44149)
- Data format (orkgp:P44150)
- Best method (orkgp:P44151)
- Number of articles (orkgp:P44152)
- Tool name (orkgp:P44153)
- Supported programming languages (orkgp:P44154)
- Supported functions (orkgp:P44155)
- Supported natural languages (orkgp:P44156)
- Learner Features (orkgp:P44157)
- Annotation guidelines (orkgp:P44158)
- inter-annotator agreement (orkgp:P44159)
- Step 2.1 (orkgp:P44160)
- Step 2.1.1 (orkgp:P44161)
- Coarse-grained Entity types (orkgp:P44162)
- Has project (orkgp:P44164)
- Event / Relation Types (orkgp:P44165)
- Primary argument (orkgp:P44166)
- Secondary arguments (orkgp:P44167)
- Number of events (orkgp:P44168)
- Number of proteins (orkgp:P44169)
- Number of modifications (orkgp:P44170)
- Number of core entities (orkgp:P44171)
- Coreferences (orkgp:P44172)
- Scope (orkgp:P44173)
- Number of paragraphs (orkgp:P44174)
- Number of Identity Chains (orkgp:P44175)
- Number of discontinuous mentions (orkgp:P44176)
- RDoC construct (orkgp:P44177)
- has experimental results (orkgp:P44178)
- Has simulation results (orkgp:P44179)
- Number of documents (orkgp:P44180)
- Baseline score (orkgp:P44182)
- Source domain (orkgp:P44183)
- Target domains (orkgp:P44184)
- Directly Fine-tune (orkgp:P44185)
- Pre-train then Fine-tune (orkgp:P44186)
- Jointly train (orkgp:P44187)
- Number of training documents (orkgp:P44188)
- Number of development documents (orkgp:P44189)
- Number of test documents (orkgp:P44190)
- Number of images (orkgp:P44191)
- Has ontology (orkgp:P44195)
- Has nodes (orkgp:P44196)
- Number of images (orkgp:P44198)
- Has ontology (orkgp:P44202)
- Number of images (orkgp:P44205)
- Has ontology (orkgp:P44209)
- Has nodes (orkgp:P44210)
- Has subset (orkgp:P44212)
- Number of nodes (orkgp:P44213)
- Number of leaf nodes (orkgp:P44214)
- Annotation scheme (orkgp:P44215)
- Annotation theme (orkgp:P45000)
- Annotation format (orkgp:P45001)
- Ontology used (orkgp:P45002)
- subcategories (orkgp:P45003)
- Material (orkgp:P45005)
- Data (orkgp:P45006)
- Method (orkgp:P45007)
- sub-relations (orkgp:P45008)
- Ontologies used (orkgp:P45009)
- Annotation approach (orkgp:P45010)
- sub-event/relations (orkgp:P45011)
- shared task (orkgp:P45012)
- Number of complexes (orkgp:P45013)
- super domain (orkgp:P45014)
- Bacteria extraction (orkgp:P45019)
- Cellular component extraction (orkgp:P45020)
- Biological Process extraction (orkgp:P45021)
- Molecular function extraction (orkgp:P45022)
- Bacteria extraction (orkgp:P45023)
- Cellular component extraction (orkgp:P45024)
- Biological Process extraction (orkgp:P45025)
- Molecular function extraction (orkgp:P45026)
- Bacteria extraction (orkgp:P45027)
- Cellular component extraction (orkgp:P45028)
- Biological Process extraction (orkgp:P45029)
- Molecular function extraction (orkgp:P45030)
- Dataset download url (orkgp:P45032)
- Event types (orkgp:P45033)
- Number of training data mentions (orkgp:P45035)
- Number of development data mentions (orkgp:P45036)
- Number of test data mentions (orkgp:P45037)
- Number of training data events (orkgp:P45038)
- Number of test data events (orkgp:P45039)
- Number of development data events (orkgp:P45040)
- Number of training data relations (orkgp:P45041)
- Number of development data relations (orkgp:P45042)
- Number of test data relations (orkgp:P45043)
- has addition to (orkgp:P45044)
- Slot error rate (orkgp:P45046)
- Dataset type (orkgp:P45047)
- Data source timestamp (orkgp:P45048)
- Fine-grained Entity types (orkgp:P45049)
- Number of fine-grained entity types (orkgp:P45050)
- Annotation type (orkgp:P45051)
- Exact match (orkgp:P45053)
- Token match (orkgp:P45054)
- Named entity (orkgp:P45055)
- gold-standard corpora (orkgp:P45057)
- Silver-standard corpora (orkgp:P45058)
- has aligned entities (orkgp:P45059)
- Number of training sentences (orkgp:P45060)
- Number of development sentences (orkgp:P45062)
- Number of test sentences (orkgp:P45064)
- Number of identifiers (orkgp:P45066)
- Coarse-grained Entity type (orkgp:P45067)
- Software entity types (orkgp:P45071)
- Equipment (orkgp:P45072)
- quantityValue (orkgp:P45073)
- hasQuantityKind (orkgp:P45074)
- numericValue (orkgp:P45075)
- unit (orkgp:P45076)
- Producer (orkgp:P45077)
- Guideline (orkgp:P45079)
- has accuracy (orkgp:P45080)
- qudt:ucumCode (orkgp:P45081)
- applied (orkgp:P45082)
- alternativeName (orkgp:P45083)
- url (orkgp:P45084)
- abbreviation (orkgp:P45085)
- license (orkgp:P45086)
- citation (orkgp:P45087)
- version (orkgp:P45088)
- extension (orkgp:P45089)
- release (orkgp:P45090)
- developer (orkgp:P45091)
- plugIn (orkgp:P45092)
- specification (orkgp:P45093)
- softwareType (orkgp:P45094)
- creates (orkgp:P45095)
- uses (orkgp:P45096)
- deposits (orkgp:P45097)
- video (orkgp:P45098)
- representation (orkgp:P45099)
- interactionType (orkgp:P45100)
- audience (orkgp:P45101)
- individual (orkgp:P45102)
- virtual (orkgp:P45103)
- physical (orkgp:P45104)
- Asynchronous (orkgp:P45105)
- Synchronous (orkgp:P45106)
- Introduced in (orkgp:P45107)
- Number of questions (orkgp:P45108)
- Number of training passages (orkgp:P45109)
- Number of test passages (orkgp:P45110)
- Number of development passages (orkgp:P45111)
- surveyed neural architecture types (orkgp:P45112)
- surveyed NER architecture types (orkgp:P45113)
- Results Number Word Classes (orkgp:P45115)
- Results Geographics Location Word Classes (orkgp:P45117)
- NLP tasks (orkgp:P45118)
- production (orkgp:P45119)
- applicable Unit (orkgp:P45120)
- Experiment environment setting (orkgp:P45122)
- Engine (orkgp:P45123)
- Triple Table (orkgp:P45124)
- Triple (orkgp:P45130)
- Distinct relation types (orkgp:P45144)
- training data size (orkgp:P45145)
- test data size (orkgp:P45146)
- ontologylearningsource (orkgp:P45147)
- ontology learning approach (orkgp:P45148)
- origin (orkgp:P45150)
- has Process areas (orkgp:P45151)
- has maturity levels (orkgp:P45152)
- has application framework (orkgp:P45154)
- Used Technique (orkgp:P45155)
- used datasets (orkgp:P45156)
- Theoretical background (orkgp:P46000)
- Sample characteristics (orkgp:P46001)
- contextualization (orkgp:P46002)
- sample (orkgp:P46003)
- Country (orkgp:P46004)
- study year (orkgp:P46005)
- mean (orkgp:P47000)
- study_design (orkgp:P47001)
- statistical_methods (orkgp:P47002)
- open_access_medium (orkgp:P47003)
- research_field_investigated (orkgp:P47004)
- country_investigated (orkgp:P47005)
- unit (orkgp:P47007)
- LossMethod (orkgp:P47012)
- round-trip time (std) millisec (orkgp:P47018)
- motion-to-photon (average) millisec (orkgp:P47019)
- motion-to-photon (std) millisec (orkgp:P47020)
- peak signal-to-noise ratio (average) dB (orkgp:P47021)
- peak signal-to-noise ratio (std) dB (orkgp:P47022)
- network (orkgp:P47023)
- playability (orkgp:P47024)
- round-trip time (average) millisec (orkgp:P47026)
- visual quality (orkgp:P47027)
- subject (orkgp:P47028)
- Subject Label (orkgp:P47029)
- Subject ID (orkgp:P47030)
- Relationship (orkgp:P47031)
- Object (orkgp:P47032)
- Object ID (orkgp:P47033)
- maxValue (orkgp:P47034)
- minValue (orkgp:P47035)
- Method of dependencies modeling (orkgp:P48000)
- Method of dependencies extraction (orkgp:P48001)
- Dynamic (orkgp:P48002)
- Multi-actor consideration (orkgp:P48003)
- Type of considered dependencies (orkgp:P48004)
- Location (orkgp:P48005)
- Time period for data collection (orkgp:P48007)
- Duration of use the AR app (orkgp:P48008)
- code repository (orkgp:P49000)
- application category (orkgp:P49003)
- download url (orkgp:P49005)
- release notes (orkgp:P49010)
- software help (orkgp:P49011)
- software requirements (orkgp:P49012)
- contributor (orkgp:P49016)
- creator (orkgp:P49019)
- date created (orkgp:P49020)
- date modified (orkgp:P49021)
- date published (orkgp:P49022)
- file format (orkgp:P49024)
- provider (orkgp:P49025)
- sponsor (orkgp:P49026)
- is accessible for free (orkgp:P49027)
- is part of (orkgp:P49028)
- position (orkgp:P49029)
- name (orkgp:P49030)
- given name (orkgp:P49032)
- family name (orkgp:P49033)
- Interoperability (orkgp:P49034)
- Data aquisition (orkgp:P49035)
- Dependencies consideration (orkgp:P49036)
- Dependencies management (orkgp:P49037)
- Heterogeneity consideration (orkgp:P49038)
- Exposed services (orkgp:P49039)
- Consumed services (orkgp:P49040)
- Environmental intercations (orkgp:P49042)
- Application interactions (orkgp:P49043)
- Data access modality (orkgp:P49044)
- maintainer (orkgp:P49046)
- cont integration (orkgp:P49047)
- development status (orkgp:P49049)
- funding (orkgp:P49051)
- issue tracker (orkgp:P49052)
- reference publication (orkgp:P49053)
- readme (orkgp:P49054)
- Hardware platform (orkgp:P49055)
- Software platform (orkgp:P49056)
- Best machine learning or deep learning approach/algorithm (orkgp:P49057)
- Performance metrics (orkgp:P49059)
- Filler material (orkgp:P49060)
- Polymer material (orkgp:P49061)
- Coating thickness (orkgp:P49066)
- Prediction accuracy results (orkgp:P49069)
- animal (orkgp:P49074)
- Intrusion Detection Type (orkgp:P49075)
- Training Requirement (orkgp:P49076)
- Attack Type (orkgp:P49077)
- Optimization criteria (orkgp:P49078)
- Optimization function (orkgp:P49079)
- peer-reviewed (orkgp:P49080)
- target population (orkgp:P49081)
- geographical coverage (orkgp:P49082)
- academic disciplines (orkgp:P49083)
- has negative association with (orkgp:P49084)
- uses (orkgp:P5)
- Heuristic followed (orkgp:P5000)
- Total Frames extracted (orkgp:P50000)
- Key frames extracted (orkgp:P50001)
- deals with (orkgp:P5001)
- uses similarity (orkgp:P5002)
- Performance metric (orkgp:P5003)
- Evidence (orkgp:P5004)
- Uncertainty (orkgp:P5005)
- Limitations (orkgp:P5006)
- Clustering (orkgp:P5007)
- Graph (orkgp:P5008)
- Task (orkgp:P5009)
- Test questions (orkgp:P5010)
- Train questions (orkgp:P5011)
- Question language (orkgp:P5012)
- Language (orkgp:P5013)
- Question amount (orkgp:P5014)
- Recall (orkgp:P5015)
- F-measure (orkgp:P5016)
- Runtime (orkgp:P5017)
- On (orkgp:P5018)
- Technique (orkgp:P5019)
- Question analysis task (orkgp:P5020)
- Phrase mapping task (orkgp:P5021)
- Disambiguation task (orkgp:P5022)
- Query construction task (orkgp:P5023)
- Keyword (orkgp:P5024)
- Filter (orkgp:P5025)
- Sampling (orkgp:P5026)
- Aggregation (orkgp:P5027)
- Incremental (orkgp:P5028)
- Disk (orkgp:P5029)
- Domain (orkgp:P5030)
- Application type (orkgp:P5031)
- Data types (orkgp:P5032)
- Visualization types (orkgp:P5033)
- User recommendation (orkgp:P5034)
- Preferences (orkgp:P5035)
- Statistics (orkgp:P5036)
- Sampling (orkgp:P5037)
- Aggregation (orkgp:P5038)
- Incremental (orkgp:P5039)
- Disk (orkgp:P5040)
- Domain (orkgp:P5041)
- Application type (orkgp:P5042)
- Approach type (orkgp:P5043)
- Document type (orkgp:P5044)
- Summary usage (orkgp:P5045)
- Summary characteristics (orkgp:P5046)
- utilizes (orkgp:P5047)
- sub system (orkgp:P5048)
- location (orkgp:P5049)
- see also (orkgp:P5050)
- manufacturer (orkgp:P5051)
- observes (orkgp:P5053)
- datasheet (orkgp:P5056)
- website (orkgp:P5064)
- version (orkgp:P5067)
- acronym (orkgp:P5068)
- Observation (orkgp:P5069)
- class (orkgp:P5070)
- sensor (orkgp:P5071)
- precision (orkgp:P5072)
- recall (orkgp:P5073)
- actual (orkgp:P5074)
- predicted (orkgp:P5075)
- instances (orkgp:P5076)
- purpose (orkgp:P5081)
- operation (orkgp:P5082)
- mode (orkgp:P5083)
- has part (orkgp:P5085)
- value (orkgp:P5086)
- number of hidden neurons (orkgp:P5087)
- classes (orkgp:P5088)
- algorithm (orkgp:P5089)
- configuration (orkgp:P5090)
- evaluation (orkgp:P5091)
- is property of (orkgp:P5092)
- label (orkgp:P5094)
- class mappings (orkgp:P5095)
- rule (orkgp:P5096)
- performance (orkgp:P5097)
- time (orkgp:P5098)
- R6900 (orkgp:P5099)
- R6904 (orkgp:P5100)
- Data (orkgp:P51000)
- Method (orkgp:P51001)
- R6906 (orkgp:P5101)
- R6908 (orkgp:P5102)
- order (orkgp:P5103)
- R6915 (orkgp:P5104)
- R6918 (orkgp:P5105)
- R6926 (orkgp:P5106)
- R6928 (orkgp:P5107)
- R6933 (orkgp:P5108)
- R6935 (orkgp:P5109)
- R6938 (orkgp:P5110)
- R6939 (orkgp:P5111)
- levels names (orkgp:P52000)
- Number of levels (orkgp:P52002)
- test year (orkgp:P52004)
- age (orkgp:P52005)
- Excercise (orkgp:P52006)
- Scalability Framework (orkgp:P52007)
- multi modal feature handling (orkgp:P52008)
- Result Semantification (orkgp:P52009)
- Explainable Results (orkgp:P52010)
- Software Resource Link (orkgp:P52011)
- Probabilistic Similarity Approach (orkgp:P52012)
- has levels (orkgp:P52013)
- has attribute (orkgp:P52014)
- attributes number (orkgp:P52015)
- Maturity Definition (orkgp:P52016)
- Practicality (orkgp:P52017)
- Calorie-annotated recipe (orkgp:P52018)
- Data source content (orkgp:P52019)
- Number food category (orkgp:P52020)
- Evaluation data size (orkgp:P52021)
- Absolute error (orkgp:P52022)
- Relative error (orkgp:P52023)
- Relative error (%) (orkgp:P52024)
- Absolute error (kcal) (orkgp:P52025)
- Number of food recipe (orkgp:P52026)
- standard error (orkgp:P52027)
- testing data size (orkgp:P52028)
- Validation data size (orkgp:P52029)
- Machine learning framework (orkgp:P52030)
- Relative error (kcal) (orkgp:P52031)
- Protein (orkgp:P52032)
- Fat (orkgp:P52033)
- Carbohydrates (orkgp:P52034)
- Number of classes (orkgp:P52036)
- Factor (orkgp:P52037)
- Association (orkgp:P52038)
- Language model vocabulary (orkgp:P52039)
- Vocabulary Size (orkgp:P52040)
- has text (orkgp:P52041)
- Phase of pandemic (orkgp:P53000)
- instance of (orkgp:P54000)
- eats (orkgp:P54001)
- Method resolution (orkgp:P54002)
- Economic aspect (orkgp:P54003)
- Environemental aspect (orkgp:P54004)
- Social aspect (orkgp:P54005)
- E-waste management (orkgp:P54006)
- Direct logistic (orkgp:P54007)
- Reverse logistic (orkgp:P54008)
- indirectly negatively regulates quantity of (orkgp:P54009)
- Cap-and-trade policy (orkgp:P54010)
- Publish year (orkgp:P54011)
- directly negatively regulates quantity of (orkgp:P54012)
- publish in the journal (orkgp:P54013)
- Journal impact factor (orkgp:P54014)
- Inventory model (orkgp:P54015)
- Number of echelon (orkgp:P54016)
- Sustainability factor (orkgp:P54017)
- Objective fucntion (orkgp:P54018)
- Decision variable (orkgp:P54019)
- Production energy consumption function (orkgp:P54020)
- Dataset Sample Size (orkgp:P54021)
- 1st Dataset Sample Size (orkgp:P54023)
- 2nd Dataset Sample Size (orkgp:P54024)
- 1st dataset Testing Size (orkgp:P54025)
- 1st Dataset Training Size (orkgp:P54026)
- 2nd Dataset url (orkgp:P54027)
- Bacteria (concentration ) (orkgp:P54029)
- Nutrition broth +food (orkgp:P54030)
- Immobilizer material /polymer (orkgp:P54031)
- Focus/concept (orkgp:P54032)
- Future reccomendation (orkgp:P54033)
- Missing values (orkgp:P54034)
- Material (orkgp:P54035)
- Data (orkgp:P54036)
- Method (orkgp:P54037)
- Material (orkgp:P54038)
- Data (orkgp:P54039)
- Attributes Count (orkgp:P55004)
- automatic data mapping (orkgp:P55010)
- no need to write queries (orkgp:P55012)
- automatic generation of domain objects (orkgp:P55013)
- semantic data support (orkgp:P55014)
- Material (orkgp:P55015)
- Method (orkgp:P55017)
- Source (orkgp:P55018)
- Submodels (orkgp:P55019)
- Experimental tool (orkgp:P55020)
- package (orkgp:P55021)
- Hardware configuration (orkgp:P55022)
- count (orkgp:P55023)
- cores (orkgp:P55024)
- speed (orkgp:P55025)
- Workload taxonomy (orkgp:P55026)
- Query Text (orkgp:P55028)
- Number of triple patterns (orkgp:P55029)
- Number of files (orkgp:P55030)
- contains triangular pattern (orkgp:P55031)
- Number of peers (orkgp:P55032)
- external validity (orkgp:P55034)
- internal validity (orkgp:P55035)
- conclusion validity (orkgp:P55036)
- construct validity (orkgp:P55037)
- hidden in text (orkgp:P55038)
- highlighted in text (orkgp:P55039)
- Has published (orkgp:P56000)
- influencing factor (orkgp:P56001)
- Online published (orkgp:P56002)
- controls (orkgp:P56003)
- gender (orkgp:P56004)
- seniority (orkgp:P56005)
- region (orkgp:P56006)
- claim causality (orkgp:P56007)
- data collection (orkgp:P56008)
- observation type (orkgp:P56009)
- observation number (orkgp:P56010)
- type study (orkgp:P56011)
- survey type (orkgp:P56012)
- population (orkgp:P56013)
- gross sample (orkgp:P56014)
- response rate (orkgp:P56015)
- start field phase (orkgp:P56016)
- end field phase (orkgp:P56017)
- causality representation (orkgp:P56018)
- causality acquisition method (orkgp:P56019)
- causality inference method (orkgp:P56020)
- explanation extraction method (orkgp:P56021)
- explanation ranking method (orkgp:P56022)
- explanation evaluation (orkgp:P56023)
- event detection method (orkgp:P56025)
- academic discipline (orkgp:P56026)
- influencing factor description (orkgp:P56027)
- association description (orkgp:P56028)
- outcome description (orkgp:P56029)
- target population description (orkgp:P56031)
- data collection method description (orkgp:P56032)
- observation type description (orkgp:P56033)
- background empirical evidence (orkgp:P56034)
- background theory (orkgp:P56035)
- theory description (orkgp:P56036)
- data source description (orkgp:P56037)
- Prop 1 (orkgp:P56038)
- Prop 2 (orkgp:P56039)
- Prop 3 (orkgp:P56040)
- data-driven approach (orkgp:P56041)
- inferential statistics (orkgp:P56043)
- hypothesis statement (orkgp:P56046)
- descriptive statistics (orkgp:P56048)
- measures of frequency (orkgp:P56049)
- percent (orkgp:P56050)
- has constraints (orkgp:P56051)
- Type of considered system (orkgp:P56052)
- Measurement noise (orkgp:P56053)
- Process noise (orkgp:P56054)
- subquestion (orkgp:P57000)
- research paradigm (orkgp:P57003)
- research question answer (orkgp:P57004)
- measures of central tendency (orkgp:P57005)
- median (orkgp:P57006)
- mode (orkgp:P57007)
- measures of dispersion or variation (orkgp:P57008)
- variance (orkgp:P57009)
- measures of position (orkgp:P57010)
- percentile rank (orkgp:P57011)
- quartile rank (orkgp:P57012)
- thematic analysis (orkgp:P57013)
- grounded theory (orkgp:P57015)
- machine learning (orkgp:P57016)
- classification type (orkgp:P57017)
- between subject (orkgp:P57018)
- within subject (orkgp:P57019)
- secondary research (orkgp:P57021)
- has_name (orkgp:P57022)
- open_access_models (orkgp:P57023)
- Indicator (orkgp:P57024)
- result_detail (orkgp:P57025)
- Key Scheme (orkgp:P57026)
- Traffic Effect (orkgp:P57027)
- scientific_block_compared (orkgp:P57029)
- Average (orkgp:P57030)
- Lowest (orkgp:P57031)
- Highest (orkgp:P57032)
- World region (orkgp:P57033)
- interview (orkgp:P57034)
- question number (orkgp:P57035)
- survey (orkgp:P57036)
- qualitative (orkgp:P57038)
- quantitative (orkgp:P57039)
- study (orkgp:P57040)
- In Original Query (orkgp:P57041)
- First Run of Optimization (orkgp:P57042)
- has triplestore (orkgp:P57043)
- Q1 has Value (orkgp:P57044)
- Q3 has Value (orkgp:P57045)
- Q7 has Value (orkgp:P57046)
- has cost model (orkgp:P57047)
- Q2 has Value (orkgp:P57052)
- Q4 has Value (orkgp:P57053)
- Q5 has Value (orkgp:P57054)
- Q6 has Value (orkgp:P57055)
- Has predictors (orkgp:P57056)
- period of data collection (orkgp:P57057)
- has yearly pattern (orkgp:P57058)
- has daily pattern (orkgp:P57059)
- has weekly pattern (orkgp:P57060)
- variables used (orkgp:P57061)
- is larger than (orkgp:P57062)
- association with cycling trips (orkgp:P57063)
- on cycling trips (orkgp:P57064)
- is particularly strong deterrent for (orkgp:P57065)
- deterrents to cycling (orkgp:P57066)
- daily variations (orkgp:P57067)
- has influence on (orkgp:P57068)
- is plural of (orkgp:P57069)
- is explained in (orkgp:P57070)
- has turning point at (orkgp:P57071)
- on weekdays (orkgp:P57072)
- on weekends (orkgp:P57073)
- negative effect for (orkgp:P57074)
- increase of ridership (orkgp:P57076)
- decrease of ridership (orkgp:P57077)
- is measured in (orkgp:P57078)
- R189274 (orkgp:P57079)
- R189276 (orkgp:P57080)
- R189278 (orkgp:P57081)
- R189280 (orkgp:P57082)
- R189282 (orkgp:P57083)
- R189284 (orkgp:P57084)
- R189286 (orkgp:P57085)
- is calculated from (orkgp:P57086)
- mean values are calculated from (orkgp:P57087)
- Predictor variable (orkgp:P57088)
- Target variable (orkgp:P57089)
- is described by (orkgp:P57090)
- operates on (orkgp:P57091)
- Crosslinker (orkgp:P57092)
- targets (orkgp:P57097)
- False Negative Rate (orkgp:P57098)
- data analysis method (orkgp:P57099)
- mentions (orkgp:P57100)
- has number of classes (orkgp:P57101)
- beginning (orkgp:P57102)
- end (orkgp:P57103)
- sample size (orkgp:P57104)
- hypothesis supported (orkgp:P57105)
- patient age (orkgp:P57106)
- COVID-19 patients with gastrointestinal symptoms (orkgp:P57107)
- Test-Data Languages (orkgp:P58000)
- 1st Dataset (orkgp:P58001)
- 2nd Dataset (orkgp:P58002)
- 1st Dataset Precision (orkgp:P58004)
- 1st Dataset Size (orkgp:P58006)
- 2nd Dataset Size (orkgp:P58007)
- 1st Dataset Accuracy (orkgp:P58009)
- 2nd Dataset Accuracy (orkgp:P58010)
- 2nd Dataset Recall (orkgp:P58012)
- 2nd Dataset Precision (orkgp:P58013)
- 2nd Dataset F1-score (orkgp:P58014)
- 1st Dataset Recall (orkgp:P58018)
- 1st Dataset F1-score (orkgp:P58019)
- Accuracy (orkgp:P58020)
- Fake News (orkgp:P58021)
- Real News (orkgp:P58022)
- Retweets (orkgp:P58028)
- F1 entity level (orkgp:P58033)
- Macro F1 word-level (orkgp:P58034)
- Micro F1 (orkgp:P58035)
- buffered reads (orkgp:P58037)
- Universities (orkgp:P58038)
- Real Accounts (orkgp:P58039)
- Fake Followers (orkgp:P58041)
- Spam Accounts (orkgp:P58043)
- False Positive (orkgp:P58045)
- False Positive Rate (orkgp:P58046)
- has number of instances (orkgp:P58048)
- associated with project (orkgp:P58049)
- used in project (orkgp:P58053)
- available in (orkgp:P58054)
- online accessible (orkgp:P58055)
- has domain (orkgp:P58056)
- Logistic Regression (orkgp:P58058)
- Random Forest (orkgp:P58059)
- Support Vector Machine (SVM) (orkgp:P58060)
- no of object properties (orkgp:P58061)
- no of data properties (orkgp:P58062)
- Matthews Correlation Coefficient (MCC) (orkgp:P58063)
- Data scaling (normalization method) (orkgp:P58067)
- Performance measurment (orkgp:P58068)
- Algorithm used (orkgp:P58069)
- Supervised learning (orkgp:P58070)
- Limiation (orkgp:P58071)
- Datasets used (orkgp:P58072)
- The research problem (orkgp:P58073)
- Algorithm(s) used (orkgp:P58074)
- Application field(s) (orkgp:P58075)
- Limiations (orkgp:P58076)
- Strong points of the research (orkgp:P58077)
- Research weak point(s) (orkgp:P58078)
- Number of machine learning algorithms (orkgp:P58079)
- Number of application fields (orkgp:P58080)
- Number of performance measures (orkgp:P58081)
- Publons ID (orkgp:P58082)
- Web of science ResearcherID (orkgp:P58083)
- Scopus (orkgp:P58084)
- MyScienceWork (orkgp:P58085)
- Semantic Scholar (orkgp:P58086)
- conclusion(s) (orkgp:P58087)
- Social Spam Bot #1 (orkgp:P58088)
- Social Spam Bot #2 (orkgp:P58089)
- Social Spam Bot #3 (orkgp:P58090)
- Traditional Spam Bot (orkgp:P58091)
- Fake Accounts (orkgp:P58093)
- Encryption (orkgp:P58094)
- hash (orkgp:P58095)
- key (orkgp:P58096)
- replay protection (orkgp:P58097)
- Number of network echelons (orkgp:P58098)
- Multi-objective approach (orkgp:P58099)
- Multiple periods (orkgp:P58100)
- Multiple products (orkgp:P58101)
- Multiple transportation modes (orkgp:P58102)
- Capacitated facilities (orkgp:P58103)
- Multiple facilities in each echelon (orkgp:P58104)
- case study (orkgp:P58105)
- Solution approach (orkgp:P58107)
- Applicable flow pattern (orkgp:P58108)
- Applicable condition (orkgp:P58109)
- Drawbacks (orkgp:P58110)
- Function (orkgp:P58111)
- Accuracy (%) (orkgp:P58112)
- 1st Dataset training/test url (orkgp:P58114)
- Total number of Accounts (orkgp:P58115)
- True Positive rate (orkgp:P58120)
- Precision-Recall Curve (PRC) area (orkgp:P58122)
- Receiver Operating Characteristic (ROC) area (orkgp:P58123)
- Correctly classified instance (orkgp:P58124)
- Environemental control (orkgp:P58125)
- # of Recordings (orkgp:P59000)
- In Use (orkgp:P59001)
- Topology Authentication (orkgp:P59002)
- Path Authentication (orkgp:P59003)
- Origin Authentication (orkgp:P59004)
- System (orkgp:P59005)
- Positive (orkgp:P59006)
- Negative (orkgp:P59007)
- Neutral (orkgp:P59008)
- Solid Use Case (orkgp:P59009)
- Prediction accuracy results (%) (orkgp:P59011)
- Wordbags (orkgp:P59012)
- Dataset Training Size (orkgp:P59013)
- Dataset Testing Size (orkgp:P59014)
- Proposed model (orkgp:P59015)
- Dataset Validation Size (orkgp:P59016)
- Attack Goal (orkgp:P59017)
- Cost per Click (CPC) (orkgp:P59019)
- Cost per impression Mile (CPM) (orkgp:P59020)
- Cost per Action (CPA) (orkgp:P59021)
- Attack Target (orkgp:P59022)
- Proposed model architecture (orkgp:P59023)
- Positive Predictive Rate (orkgp:P59024)
- Negative Predictive Rate (orkgp:P59025)
- body parts (orkgp:P59026)
- has research problem (orkgp:P59028)
- Accuracy results (Prediction %) (orkgp:P59029)
- Percent change from pre-pandemic WVC rates (orkgp:P59030)
- results (orkgp:P59031)
- Mean number of WVC per month 2019 Lockdown period (orkgp:P59040)
- Mean number of WVC per month 2019 Non-lockdown period (orkgp:P59041)
- Mean number of WVC per month 2020 Lockdown period (orkgp:P59042)
- Mean number of WVC 2020 Non-lockdown period (orkgp:P59043)
- authorization method (orkgp:P59044)
- Images dimensions (orkgp:P59045)
- Data augmentation technique (orkgp:P59046)
- Time Complexity Analysis (orkgp:P59047)
- low result (orkgp:P59048)
- high result (orkgp:P59049)
- Automatically evaluating machine-translated text (orkgp:P59050)
- system information (orkgp:P59051)
- Industry 4.0 technology (orkgp:P59052)
- Discused Supply Chain Resiliences antecedents (orkgp:P59053)
- Refered Supply chain resiliences phases (orkgp:P59054)
- Experimental data (orkgp:P59055)
- Real locations (orkgp:P59056)
- comparative analysis (orkgp:P59058)
- triangulation (orkgp:P59059)
- coding (orkgp:P59061)
- skewness (orkgp:P59063)
- kurtosis (orkgp:P59064)
- boxplot (orkgp:P59065)
- roc auc (orkgp:P59066)
- architecture (orkgp:P59070)
- bus width (orkgp:P59071)
- Overall effect of COVID-19 lockdowns on WCV (orkgp:P59072)
- Taktfrequenz (orkgp:P59073)
- sentiment analysis (orkgp:P59074)
- Has Links (orkgp:P59077)
- used method (orkgp:P59078)
- Has Relations (orkgp:P59079)
- Overall effect of COVID-19 lockdowns on mammal road mortality (orkgp:P59081)
- Percent change from pre-pandemic road mortality rates (orkgp:P59082)
- Problem domain (orkgp:P59084)
- Multi-Suppliers (orkgp:P59085)
- Multi-customers (orkgp:P59086)
- Multi scenario (orkgp:P59087)
- Parser (orkgp:P59088)
- evaluation method (orkgp:P59089)
- Size (orkgp:P59090)
- Corpus name (orkgp:P59091)
- Compilation method (orkgp:P59092)
- Availability (orkgp:P59093)
- behavioural analysis (orkgp:P59095)
- Backward Compatibility (orkgp:P59097)
- authentication method (orkgp:P59101)
- session (orkgp:P59102)
- ontology component (orkgp:P59103)
- ontology module (orkgp:P59104)
- Is contextual (orkgp:P59107)
- F_β -score (orkgp:P59108)
- reliability (orkgp:P59109)
- has architecture (orkgp:P59111)
- has transformer blocks (orkgp:P59113)
- hidden size (orkgp:P59115)
- total parameters (orkgp:P59117)
- number of self-attention heads (orkgp:P59118)
- base model (orkgp:P59119)
- Number of annotators (orkgp:P59120)
- individual count (orkgp:P59122)
- properties count (orkgp:P59123)
- domain knowledge (orkgp:P59124)
- people involved (orkgp:P59125)
- Discourse structure (orkgp:P59127)
- Audio encoder (orkgp:P59128)
- Text encoder (orkgp:P59129)
- Video encoder (orkgp:P59130)
- Fusion dimensions (orkgp:P59131)
- Media Type (orkgp:P59132)
- Storage (orkgp:P59133)
- Github link (orkgp:P59134)
- terms count (orkgp:P59135)
- type of software (orkgp:P59136)
- f-score (orkgp:P59137)
- aligned with (orkgp:P59140)
- Number of topics (orkgp:P59142)
- Number of Tweets (orkgp:P59143)
- Start date (orkgp:P59144)
- End date (orkgp:P59145)
- Feature learning channel (orkgp:P59146)
- sample size unit (orkgp:P59149)
- additional data (orkgp:P59153)
- Network architecture type (orkgp:P59154)
- Networks' architecture type (orkgp:P59155)
- learning poverty in reading (orkgp:P59157)
- learning poverty in numeracy (orkgp:P59158)
- assessment test (orkgp:P59159)
- Research Design (orkgp:P59160)
- Number of machines (orkgp:P59161)
- Number of peers per machine (orkgp:P59162)
- Processor clock speed (orkgp:P59163)
- Average Age at testing (orkgp:P59164)
- has bandwidth usage (orkgp:P59166)
- has optimization time (orkgp:P59167)
- Grammatical structures correlated highly with age of arrival (orkgp:P59168)
- hypothesis statements (orkgp:P59169)
- Range of Age of arrival in the US. (orkgp:P59170)
- Average aptitude test score (orkgp:P59173)
- Average length of residence (years) (orkgp:P59174)
- correlation measures (orkgp:P59175)
- Graph analysis support (orkgp:P59177)
- Participants' age (orkgp:P59178)
- Stimuli (orkgp:P59179)
- materials for instruction (orkgp:P59180)
- Participants' age (years) (orkgp:P59181)
- materials for testing (orkgp:P59182)
- Focus marker (orkgp:P59183)
- tested subjects (orkgp:P59184)
- Subject language (orkgp:P59185)
- language (orkgp:P59186)
- Bias Genre (orkgp:P59187)
- has neural models (orkgp:P59188)
- Study language (orkgp:P59189)
- Dataset_name/ source (orkgp:P59190)
- Dataset_volume (orkgp:P59191)
- Method(s) (orkgp:P59192)
- defination of societal bias (orkgp:P59197)
- Covered Countries (orkgp:P59198)
- has neural models or systems (orkgp:P59199)
- Network architecture (orkgp:P59200)
- number of POS tags (orkgp:P59202)
- Number of relation subtypes (orkgp:P59203)
- Baseline results (orkgp:P59211)
- Registers compared (orkgp:P59212)
- amount of participants (orkgp:P59213)
- age (orkgp:P59214)
- native language (orkgp:P59215)
- second language (orkgp:P59216)
- examined linguistic phenomina (orkgp:P59217)
- language domain (orkgp:P59218)
- proficiency level (orkgp:P59219)
- Result: Organ tropism (orkgp:P59220)
- Result: Cell tropism (orkgp:P59221)
- Hits@1 (orkgp:P59222)
- Norovirus (orkgp:P59223)
- Precision@1 (orkgp:P59224)
- Diachronic (orkgp:P59226)
- dataset_type (orkgp:P59227)
- dataset_source (orkgp:P59228)
- dataset_size (orkgp:P59229)
- dataset total size (orkgp:P59230)
- Pre-training task(s) (orkgp:P59233)
- Results on benchmark corpus (orkgp:P59234)
- Results on STS benchmark corpus (orkgp:P59236)
- Dimension of text embedding (orkgp:P59238)
- Maximum input text (word pieces) (orkgp:P59239)
- days after infection/inoculation (orkgp:P59240)
- route of infection (orkgp:P59241)
- Number of participants (orkgp:P59242)
- Examined Modality (orkgp:P59243)
- Resource Consumption (orkgp:P59244)
- PDF (orkgp:P59245)
- CPU Hours (orkgp:P59246)
- GPU Hours (orkgp:P59247)
- TPU Hours (orkgp:P59248)
- Steps for Environmental Footprint Reduction during Development (orkgp:P59249)
- Estimated CO2 Footprint (orkgp:P59250)
- Native Language (orkgp:P59251)
- Benchmark Performance (orkgp:P59252)
- Benchmark Time (orkgp:P59253)
- research question (orkgp:P59254)
- Analyses (orkgp:P59256)
- low-resource language (orkgp:P59257)
- Sampling Frequency (orkgp:P59258)
- word error rate (orkgp:P59259)
- sentence error rate (orkgp:P59265)
- character error rate (orkgp:P59266)
- Designed For (orkgp:P59268)
- author (orkgp:P6)
- serialization language (orkgp:P60000)
- licence (orkgp:P60001)
- documentation link (orkgp:P60002)
- actor (orkgp:P60003)
- software component (orkgp:P60004)
- Has conditions (orkgp:P60005)
- generalizability (orkgp:P60006)
- cohens kappa (orkgp:P60008)
- antigen used (orkgp:P60009)
- results (orkgp:P6001)
- immunoglobulin class (orkgp:P60010)
- Seroprevalence (orkgp:P60011)
- starting dilution (orkgp:P60012)
- Results (orkgp:P6002)
- has ingredient (orkgp:P6003)
- has property (orkgp:P6004)
- has upper value (orkgp:P61002)
- has lower value (orkgp:P61003)
- Type of Pollutant (orkgp:P61007)
- Measurement Location (orkgp:P62000)
- Qualitative Effect of Lockdown on Pollutant Concentrations (orkgp:P62001)
- food group (orkgp:P62002)
- GossipCop_Fake (orkgp:P62003)
- GossipCop_Real (orkgp:P62004)
- PolitiFact_Fake (orkgp:P62006)
- PolitiFact_Real (orkgp:P62007)
- Fake Images (orkgp:P62008)
- Real Images (orkgp:P62009)
- Dataset Training Size (%) (orkgp:P62011)
- Dataset Testing Size (%) (orkgp:P62012)
- Precision (%) (orkgp:P62013)
- INFOODS regional data center (orkgp:P62014)
- ingredient count (orkgp:P62015)
- food stuffs count (orkgp:P62017)
- True Negative Rate (orkgp:P62018)
- food component count (orkgp:P62019)
- food group count (orkgp:P62020)
- grains (orkgp:P62021)
- potatoes and Starches (orkgp:P62023)
- sugars and sweeteners (orkgp:P62024)
- pulses (orkgp:P62025)
- nuts and seeds (orkgp:P62026)
- vegetables (orkgp:P62027)
- fruit (orkgp:P62028)
- mushrooms (orkgp:P62029)
- algae (orkgp:P62030)
- fish and shellfish (orkgp:P62031)
- meat (orkgp:P62032)
- eggs (orkgp:P62033)
- dairy Products (orkgp:P62034)
- fats and oils (orkgp:P62035)
- confectioneries (orkgp:P62036)
- beverages (orkgp:P62037)
- seasonings and spices (orkgp:P62038)
- prepared and processed foods (orkgp:P62039)
- sensitivity (recall) (orkgp:P62040)
- dataset format (orkgp:P62072)
- food component (orkgp:P62073)
- Amount of samples (orkgp:P62074)
- root mean square error (RMSE) (orkgp:P62075)
- mean error (ME) (orkgp:P62076)
- positive rate (orkgp:P62077)
- primers (orkgp:P62078)
- noroviruses found (orkgp:P62079)
- norovirus genotype (orkgp:P62080)
- research group (orkgp:P62081)
- theoretical or practical (orkgp:P62082)
- diffractive optical element (orkgp:P62083)
- type of diffractive optical element (orkgp:P62084)
- food group name (orkgp:P62085)
- field property (orkgp:P62086)
- design of diffractive optical element (orkgp:P62089)
- food name (orkgp:P62090)
- design concept (orkgp:P62091)
- food component name (orkgp:P62093)
- constraints (orkgp:P62094)
- figure of merit (orkgp:P62095)
- wavelength (orkgp:P62096)
- angle (orkgp:P62097)
- horizontal quantity (orkgp:P62099)
- vertical quantity (orkgp:P62100)
- pixel pitch (orkgp:P62102)
- height step size (orkgp:P62104)
- height step number (orkgp:P62105)
- image distance (orkgp:P62108)
- field of view (orkgp:P62110)
- results of diffractive optical element (orkgp:P62116)
- research type (orkgp:P62118)
- list food components (orkgp:P62119)
- framework (orkgp:P62121)
- size in pixels (orkgp:P63000)
- food group total (orkgp:P63001)
- food composition table (orkgp:P63002)
- Cereals and their products (orkgp:P63003)
- Starchy roots, tubers and their products (orkgp:P63004)
- Nuts, seeds and their products (orkgp:P63005)
- Vegetables and their products (orkgp:P63006)
- Legumes and their products (orkgp:P63007)
- fruits and their products (orkgp:P63008)
- condiments and sauces (orkgp:P63009)
- eggs and their products (orkgp:P63010)
- sugars, sweeteners and syrup (orkgp:P63011)
- beverages (alcoholic and nonalcoholic) (orkgp:P63012)
- meat and poultry and their products (orkgp:P63013)
- fish and their products (orkgp:P63014)
- prepared foods (orkgp:P63015)
- presumed lifetime of vehicle (orkgp:P63016)
- presumed travel distance during lifetime (orkgp:P63017)
- Disassembly line type (orkgp:P63018)
- Disassembly type (orkgp:P63019)
- Operation time (orkgp:P63020)
- Aplicable for Wireless Sensor Networks (WSN) (orkgp:P63021)
- Aplicable for Internet of Things (IoT) (orkgp:P63022)
- purchase price (orkgp:P63023)
- currency (orkgp:P63024)
- annual fuel costs (orkgp:P63025)
- average maintenance costs (orkgp:P63026)
- vehicle type (orkgp:P63027)
- brand name (orkgp:P63028)
- vehicle name (orkgp:P63029)
- life cycle fuel costs (orkgp:P63030)
- life cycle maintenance costs (orkgp:P63031)
- total life cycle costs (orkgp:P63032)
- Data Dimension (orkgp:P63033)
- Data range (orkgp:P63034)
- Data frequency (orkgp:P63035)
- Privacy-Preserving Deep Learning Scheme (orkgp:P63036)
- Inference time (orkgp:P63038)
- Privacy-Preserving Deep Learning Type (orkgp:P63039)
- Confidentiality and Integrity (orkgp:P63040)
- Self-healing (orkgp:P63041)
- Real-time Anomally Detection (orkgp:P63042)
- Configuration Issues (orkgp:P63043)
- Authentication and Authorization (orkgp:P63044)
- Purpose (orkgp:P63046)
- Heuristics (orkgp:P63047)
- Paper Topic (orkgp:P63049)
- ChemSpider and ACD Labs Predicted Properties RDF conversion (orkgp:P63051)
- Drugbank RDF conversion provided by the Bio2Rdf project. (orkgp:P63052)
- Conceptwiki (orkgp:P63053)
- ChemSpider and ACD Labs (orkgp:P63054)
- CHEMBL (orkgp:P63055)
- Overview of the results in terms of H1 (orkgp:P63057)
- Overview in terms of H2 (orkgp:P63058)
- Overview in terms of H4 and H5 (orkgp:P63059)
- Overview in terms of H3 (orkgp:P63060)
- results withdrawn from conclusion (orkgp:P63061)
- Service Model (orkgp:P63062)
- Intrusion Detection (orkgp:P63063)
- Fine-grained (orkgp:P63064)
- study involve (orkgp:P63065)
- carried out by (orkgp:P63067)
- vegetables, potatoes, pulses, herbs and spices (orkgp:P63068)
- fresh, dried and preserved fruit (orkgp:P63069)
- meat, meat products and offal (orkgp:P63071)
- milk and milk products (orkgp:P63072)
- sweets and sweeteners (orkgp:P63073)
- Alcoholic and non- alcoholic beverages, coffee, tea (orkgp:P63074)
- miscellaneous food group (orkgp:P63075)
- basic food count (orkgp:P63077)
- commercial brand and composite food (orkgp:P63078)
- dietary records count (orkgp:P63079)
- participant count (orkgp:P63080)
- baby food group count (orkgp:P63081)
- Construction Type (orkgp:P64000)
- Annotation level (orkgp:P65000)
- Generation method (orkgp:P65001)
- Research problem description (orkgp:P65002)
- other food count LEBTAB (orkgp:P65007)
- baby food: infant formulae count (orkgp:P65008)
- baby fruit, vegetables, juices, instant beverages count (orkgp:P65009)
- baby milk-cereal-products count (orkgp:P65010)
- baby mixed dishes: ready to eat count (orkgp:P65011)
- baked products: breads, bread rolls count (orkgp:P65012)
- baked products: cakes, biscuits count (orkgp:P65013)
- beverages count (orkgp:P65014)
- cereal grains, breakfast cereals, pasta count (orkgp:P65015)
- dairy products: cheese count (orkgp:P65016)
- dairy products: milk, yoghurt count (orkgp:P65017)
- dietary supplements (per 100 g) count (orkgp:P65018)
- dietary supplements (per capsule/tablet) count (orkgp:P65019)
- egg products count (orkgp:P65020)
- fast food count (orkgp:P65021)
- fats and oils count (orkgp:P65022)
- fish and shellfish products count (orkgp:P65023)
- fruit products, nuts count (orkgp:P65024)
- juices count (orkgp:P65025)
- meat products, sausages count (orkgp:P65026)
- potato products count (orkgp:P65027)
- soups, sauces, gravy count (orkgp:P65028)
- sweets count (orkgp:P65029)
- vegetable products count (orkgp:P65030)
- animal origin food count (orkgp:P65031)
- food of plant origin count (orkgp:P65032)
- supplements food count (orkgp:P65033)
- baby food count (orkgp:P65034)
- Social control (orkgp:P65040)
- Decision Level (orkgp:P65041)
- Testing Set (orkgp:P65042)
- reduction with PHEV (orkgp:P65044)
- reduction with HEV (orkgp:P65045)
- reduction with BEV (orkgp:P65046)
- lowest (orkgp:P65047)
- Training set (orkgp:P65049)
- Fake News (Training) (orkgp:P65051)
- Real News (Testing) (orkgp:P65052)
- Real News (Training) (orkgp:P65053)
- Fake News (Testing) (orkgp:P65054)
- Error Rate (orkgp:P65055)
- Miss Rate (orkgp:P65056)
- Sources (orkgp:P65071)
- Publications / Source (orkgp:P65072)
- Engagements / News (orkgp:P65073)
- Cites / Source (orkgp:P65074)
- Friends / User (orkgp:P65075)
- Deny / News (orkgp:P65076)
- Report / News (orkgp:P65077)
- Neutral Suppot / News (orkgp:P65080)
- Negative Support / News (orkgp:P65081)
- #News Articles (orkgp:P65082)
- # Sources (orkgp:P65083)
- # Samples (orkgp:P65084)
- Fake samples (orkgp:P65085)
- Real samples (orkgp:P65086)
- # Users (orkgp:P65087)
- Average Precision (orkgp:P66000)
- aaa (orkgp:P66001)
- COVID-19 Fake News (orkgp:P66003)
- FakeNewsNet (orkgp:P66004)
- Real News (GossipCop) (orkgp:P66005)
- Fake News (GossipCop) (orkgp:P66006)
- Real News (PolitiFact) (orkgp:P66007)
- Fake News (PolitiFact) (orkgp:P66008)
- #Headlines (orkgp:P66009)
- # Body texts (orkgp:P66010)
- Disagrees (DSG) (orkgp:P66012)
- Discusses (DSC) (orkgp:P66013)
- Unrelated (UNR) (orkgp:P66014)
- Agrees (AGR) (orkgp:P66016)
- Claim Sources (orkgp:P66017)
- Total News (orkgp:P66018)
- Unlabeled News (orkgp:P66019)
- Real News Accuracy (orkgp:P66020)
- Fake News Accuracy (orkgp:P66021)
- Macro F1-Score (orkgp:P66022)
- Mean Squared Error (MSE) (orkgp:P66023)
- %Mean Squared Error (MSE) (orkgp:P66024)
- Macro Accuracy (orkgp:P66025)
- Root Mean Squared Error (RMSE) (orkgp:P66026)
- %Root Mean Squared Error (RMSE) (orkgp:P66027)
- Unlabeled Report (orkgp:P66028)
- Average Report / News (Unlabeled) (orkgp:P66029)
- Fake News (Labeled Training) (orkgp:P66030)
- Real News (Labeled Training) (orkgp:P66031)
- Fake News (Labeled Testing) (orkgp:P66032)
- Real News (Labeled Testing) (orkgp:P66033)
- Average Report / Fake News (Labeled Training) (orkgp:P66034)
- Average Report / Real News (Labeled Training) (orkgp:P66035)
- Average Report / Fake News (Labeled Testing) (orkgp:P66036)
- Average Report / Real News (Labeled Testing) (orkgp:P66037)
- AUC-ROC (orkgp:P66038)
- Precision (Fake News) (orkgp:P66039)
- Recall (Fake News) (orkgp:P66040)
- F1-Score (Fake News) (orkgp:P66041)
- Precision (Real News) (orkgp:P66042)
- Recall (Real News) (orkgp:P66043)
- F1-Score (Real News) (orkgp:P66044)
- Training-Testing split (orkgp:P66045)
- curated (orkgp:P67000)
- curated by (orkgp:P67001)
- Entertainment (Fake News) (orkgp:P67002)
- Entertainment (Real News) (orkgp:P67003)
- Lifestyle (Fake News) (orkgp:P67004)
- Lifestyle (Real News) (orkgp:P67005)
- National (Real News) (orkgp:P67006)
- National (Fake News) (orkgp:P67007)
- International (Fake News) (orkgp:P67008)
- Politics (Fake News) (orkgp:P67009)
- Politics (Real News) (orkgp:P67010)
- Sports (Fake News) (orkgp:P67011)
- Sports (Real News) (orkgp:P67012)
- Crime (Fake News) (orkgp:P67013)
- Crime (Real News) (orkgp:P67014)
- Education (Fake News) (orkgp:P67015)
- Education (Real News) (orkgp:P67016)
- Technology (Fake News) (orkgp:P67017)
- Technology (Real News) (orkgp:P67018)
- Finance (Fake News) (orkgp:P67019)
- Finance (Real News) (orkgp:P67020)
- Editorial (Fake News) (orkgp:P67021)
- Editorial (Real News) (orkgp:P67022)
- Miscellaneous (Fake News) (orkgp:P67023)
- Miscellaneous (Real News) (orkgp:P67024)
- International (Real News) (orkgp:P67025)
- Average Recall (orkgp:P67026)
- Tokens (orkgp:P67027)
- Unrelated (%) (orkgp:P67028)
- Discuss (%) (orkgp:P67029)
- Aagree (%) (orkgp:P67031)
- Disagree (%) (orkgp:P67032)
- F1-Score (Agree) (orkgp:P67033)
- F1-Score (Disagree) (orkgp:P67034)
- F1-Score (Discuss) (orkgp:P67035)
- F1-Score (Unrelated) (orkgp:P67036)
- Real News (orkgp:P67037)
- Fake News (orkgp:P67038)
- Average Statement length (token) (orkgp:P67039)
- Validation Accuracy (orkgp:P67040)
- Testing Accuracy (%) (orkgp:P67041)
- Validation Accuracy (%) (orkgp:P67042)
- Charlie Hebdo (Non-Rumors) (orkgp:P67046)
- Proportion of energy generation with hydropower (orkgp:P67059)
- Proportion of energy generation with wind energy (orkgp:P67060)
- Proportion of energy generation with nuclear energy (orkgp:P67061)
- Proportion of energy generation with biomass (orkgp:P67062)
- Proportion of energy generation with waste treatment (orkgp:P67063)
- Proportion of energy generation with solar energy (orkgp:P67064)
- Proportion of energy generation with coal (orkgp:P67065)
- Proportion of energy generation with natural gas (orkgp:P67066)
- Proportion of energy generation with crude oil (orkgp:P67067)
- unit for proportion of energy generation (orkgp:P67069)
- relation extraction (orkgp:P67071)
- Mean (orkgp:P67072)
- 5th percentile (orkgp:P67073)
- 95th percentile (orkgp:P67074)
- True (orkgp:P67075)
- Mostly-true (orkgp:P67076)
- Half-true (orkgp:P67077)
- Barely-true (orkgp:P67078)
- False (orkgp:P67079)
- Pants-fire (orkgp:P67080)
- True (orkgp:P67081)
- Common Words (orkgp:P67083)
- Health-related Fake News (orkgp:P67084)
- Real News Articles for COVID-19 (orkgp:P67085)
- True Negative (orkgp:P67086)
- True Positive (orkgp:P67087)
- False Negative (orkgp:P67088)
- phases of life-cycle (orkgp:P67089)
- instance type (orkgp:P67090)
- training (orkgp:P67091)
- context (orkgp:P67092)
- human evaluation (orkgp:P67093)
- baseline evaluation (orkgp:P67094)
- Unique Tweet (orkgp:P67095)
- Test set (orkgp:P67096)
- frame rate (orkgp:P67097)
- Objective (orkgp:P67098)
- Experimental testbed (orkgp:P67099)
- Deployment location (orkgp:P67100)
- Mitigation strategy (orkgp:P67101)
- Low Costs (orkgp:P67104)
- High Costs (orkgp:P67105)
- Adaptivity (orkgp:P67106)
- True Positive Rate (TPR) (orkgp:P67107)
- True Negative Rate (TNR) (orkgp:P67108)
- Has concept (orkgp:P67109)
- Taxonomy classes (orkgp:P68000)
- Efficiency algorithm category (orkgp:P68001)
- Decode (orkgp:P68002)
- model has time complexity (orkgp:P68003)
- Proportion of energy creation with thermal power (orkgp:P68004)
- content validity (orkgp:P68005)
- Material (orkgp:P68006)
- Process (orkgp:P68007)
- Data (orkgp:P68008)
- Battery Electric Vehicle (orkgp:P68009)
- Internal Combustion Engine Vehicles (orkgp:P68010)
- Diesel internal combustion engine vehicle (ICEV-D) (orkgp:P68013)
- Gasoline internal combustion engine vehicle (ICEV-G) (orkgp:P68014)
- Material (orkgp:P68015)
- Data (orkgp:P68016)
- reduction with BEV compared with ICV (orkgp:P68017)
- reduction with HEV compared with ICV (orkgp:P68018)
- reduction with PHEV compared with ICV (orkgp:P68019)
- reduction with BEV relative to ICV (orkgp:P68020)
- reduction with HEV relative to ICV (orkgp:P68021)
- reduction with PHEV compared to ICV (orkgp:P68022)
- High Fidelity (orkgp:P68023)
- Low Fidelity (orkgp:P68024)
- Predictive maintenance (orkgp:P68025)
- Manufacturing production line (orkgp:P68026)
- has serialization (orkgp:P68027)
- reused ontologies (orkgp:P68028)
- associated project (orkgp:P68030)
- no of classes (orkgp:P68031)
- no of instances (orkgp:P68032)
- number of object properties (orkgp:P68033)
- number of data properties (orkgp:P68034)
- number of equivalent classes (orkgp:P68035)
- number of disjoint classes (orkgp:P68036)
- DBpedia Archivo Status (orkgp:P68037)
- associated in project (orkgp:P68038)
- Competition (orkgp:P68039)
- Cost parameters (orkgp:P68040)
- Competition's factors (orkgp:P68041)
- Disruption (orkgp:P68042)
- has baseline (orkgp:P68044)
- closed-loop (orkgp:P68046)
- Objectif function (orkgp:P68047)
- Facilities states (orkgp:P68048)
- Capacity planning (orkgp:P68049)
- Network redesign (orkgp:P68050)
- Expansion (orkgp:P68051)
- Genuine (Tweet count) (orkgp:P68053)
- Social spam bot #1 (Tweet count) (orkgp:P68054)
- Social spam bot #1 (User count) (orkgp:P68055)
- Social spam bot #2 (Tweet count) (orkgp:P68056)
- Social spam bot #2 (User count) (orkgp:P68057)
- Social spam bot #3 (Tweet count) (orkgp:P68058)
- Social spam bot #3 (User count) (orkgp:P68059)
- Traditional Spam Bot (Tweet count) (orkgp:P68060)
- Traditional Spam Bot (User count) (orkgp:P68061)
- Fake Follower (Tweet count) (orkgp:P68062)
- Fake Follower (User count) (orkgp:P68063)
- Genuine (User count) (orkgp:P68064)
- Real Claim (Human) (orkgp:P68065)
- Real Claim (Bot) (orkgp:P68066)
- Fake Claim (Human) (orkgp:P68067)
- Fake Claim (Bot) (orkgp:P68068)
- Fake News (Human) (orkgp:P68069)
- Fake News (Bot) (orkgp:P68070)
- Real News (Human) (orkgp:P68071)
- Real News (Bot) (orkgp:P68072)
- Original Features (Accuracy) (orkgp:P68073)
- Original Features (F1-score) (orkgp:P68074)
- Adding Bot (Accuracy) (orkgp:P68075)
- Adding Bot (F1-score) (orkgp:P68076)
- Adding Fake claim (Accuracy) (orkgp:P68077)
- Adding Fake claim (F1-score) (orkgp:P68078)
- Economy (Real News) (orkgp:P68079)
- Economy (Fake News) (orkgp:P68080)
- Health (Real News) (orkgp:P68081)
- Health (Fake News) (orkgp:P68082)
- Science (Real News) (orkgp:P68083)
- Science (Fake News) (orkgp:P68084)
- Security (Real News) (orkgp:P68085)
- Security (Fake News) (orkgp:P68086)
- Society (Real News) (orkgp:P68087)
- Society (Fake News) (orkgp:P68088)
- Sport (Real News) (orkgp:P68089)
- Sport (Fake News) (orkgp:P68090)
- Precision score for Fake News (Fake-P) (orkgp:P68091)
- F1-score for Fake News (Fake-F1) (orkgp:P68093)
- Test Set Fake-F1 (orkgp:P68094)
- Recall score for Fake News (Fake-R) (orkgp:P68095)
- Business (Real News) (orkgp:P68096)
- Business (Fake News) (orkgp:P68097)
- Showbiz (Real News) (orkgp:P68098)
- Showbiz (Fake News) (orkgp:P68099)
- Control (orkgp:P68100)
- Cropping System (orkgp:P68103)
- Control Result Nutrients (orkgp:P68104)
- Treatment Result Nutrients (orkgp:P68105)
- Type of Soil Nutrient (orkgp:P68108)
- number of replicates (orkgp:P68109)
- Legume Treatment (orkgp:P68110)
- Real News (Validation) (orkgp:P68111)
- Fake News (Validation) (orkgp:P68112)
- True (orkgp:P68113)
- Partially False (orkgp:P68114)
- Other (orkgp:P68115)
- Precision (False News) (orkgp:P68116)
- Precision (Other) (orkgp:P68117)
- Precision (Partially False) (orkgp:P68118)
- Precision (True News) (orkgp:P68119)
- Recall (False News) (orkgp:P68120)
- Recall (Other) (orkgp:P68121)
- Recall (Partially False) (orkgp:P68122)
- Recall (True News) (orkgp:P68123)
- F1-score (False News) (orkgp:P68124)
- F1-score (Other) (orkgp:P68125)
- F1-score (Partially False) (orkgp:P68126)
- F1-score (True News) (orkgp:P68127)
- Precision (Macro average) (orkgp:P68128)
- Precision (Weighted average) (orkgp:P68129)
- Recall (Macro average) (orkgp:P68130)
- Recall (Weighted average) (orkgp:P68131)
- F1-score (Macro average) (orkgp:P68132)
- F1-score (Weighted average) (orkgp:P68133)
- Real News (Testing size) (orkgp:P68134)
- Fake News (Testing size) (orkgp:P68135)
- Fake News (Training size) (orkgp:P68136)
- Real News (Training size) (orkgp:P68137)
- Accuracy for Bag of Words (BOW) (orkgp:P68139)
- Accuracy for Part-of-speech tag (POS) (orkgp:P68140)
- Accuracy for BOW+POS (orkgp:P68141)
- Samples per Class (orkgp:P68142)
- Unique Tokens (orkgp:P68143)
- Accuracy for Portuguese Language (orkgp:P68145)
- Accuracy for English Language (orkgp:P68146)
- Accuracy for Spanish Language (orkgp:P68147)
- Test Accuracy (orkgp:P68148)
- Accuracy in Development set (Dev_Acc) (orkgp:P68149)
- Accuracy with ELMo (orkgp:P68150)
- Accuracy with BERT embedding (orkgp:P68151)
- Accuracy with BERTO embedding (orkgp:P68152)
- Accuracy with GLOVE embedding (orkgp:P68153)
- receiver operating characteristic (orkgp:P69000)
- Natural Language Processing (NLP) Technique (orkgp:P69002)
- Modality (orkgp:P69003)
- Propagation Trees Size (orkgp:P69005)
- Data (orkgp:P69007)
- Material (orkgp:P69008)
- has upper limit for 68% confidence interval (orkgp:P69009)
- has lower limit for 68% confidence interval (orkgp:P69010)
- threat model (orkgp:P69012)
- verification (orkgp:P69013)
- Experimental Design (orkgp:P69014)
- Experimental Setup (orkgp:P69015)
- Planting design (orkgp:P69016)
- feature importance score (orkgp:P69017)
- affiliation (orkgp:P7)
- has material (orkgp:P7000)
- Technique (orkgp:P70000)
- time interval (orkgp:P70001)
- forecast horizon (orkgp:P70002)
- used methodology (orkgp:P70006)
- criteria (orkgp:P70007)
- used dimensions for analysis (orkgp:P70008)
- Knowledge Graph Construction phases (orkgp:P70010)
- major challenges (orkgp:P70012)
- common approaches (orkgp:P70013)
- common applications (orkgp:P70014)
- venue investigated (orkgp:P70015)
- number secretors (orkgp:P70016)
- number non secretors (orkgp:P70017)
- owner (orkgp:P70019)
- has user license (orkgp:P7002)
- topic investigated (orkgp:P70020)
- owner (orkgp:P70021)
- Dataset Domain (orkgp:P70022)
- Dataset Subdomain (orkgp:P70023)
- Power: standing long jump (cm) mean (orkgp:P70028)
- Power: standing long jump (cm) standard deviation (orkgp:P70029)
- has number (orkgp:P7003)
- Flexibility: Stand-and-reach (cm) mean (orkgp:P70038)
- Flexibility: Stand-and-reach (cm) standard deviation (orkgp:P70039)
- unit (orkgp:P7004)
- Orthorgraphy-based classes (orkgp:P70042)
- Semantics-based classes (orkgp:P70043)
- targeting (orkgp:P7005)
- Endurance: 6-min run (m) mean (orkgp:P70050)
- Speed: 50-m sprint (s) mean (orkgp:P70051)
- Speed: 50-m sprint (s) standard deviation (orkgp:P70052)
- Power: Ball-push (m) mean (orkgp:P70055)
- Power: Ball push (m) standard deviation (orkgp:P70056)
- Power: Triple-hop (m) mean (orkgp:P70057)
- Power: Triple-hop (m) standard deviation (orkgp:P70058)
- Endurance: 9-min run (m) mean (orkgp:P70061)
- Endurance: 9-min run (m) standard deviation (orkgp:P70062)
- Endurance: 6-min run (m) standard deviation (orkgp:P70063)
- in presence of (orkgp:P7007)
- by using (orkgp:P7008)
- Supports RDF (orkgp:P7009)
- Uses graph store (orkgp:P7010)
- Performed at (orkgp:P7011)
- Cohort size (orkgp:P7012)
- Has formula (orkgp:P7013)
- Demo video (orkgp:P7014)
- Architecture (orkgp:P7015)
- Figure (orkgp:P7016)
- R8136 (orkgp:P7017)
- R8138 (orkgp:P7018)
- R8141 (orkgp:P7019)
- R8145 (orkgp:P7020)
- R8148 (orkgp:P7021)
- R8150 (orkgp:P7022)
- R8156 (orkgp:P7023)
- R8160 (orkgp:P7024)
- R8167 (orkgp:P7025)
- R8168 (orkgp:P7026)
- R8169 (orkgp:P7027)
- R8171 (orkgp:P7028)
- R8176 (orkgp:P7029)
- R8179 (orkgp:P7030)
- R8183 (orkgp:P7031)
- R8180 (orkgp:P7032)
- Material (orkgp:P7033)
- Ontology (orkgp:P7034)
- Full name (orkgp:P7035)
- Example class (orkgp:P7036)
- Description (orkgp:P7037)
- Class count (orkgp:P7038)
- Object property count (orkgp:P7039)
- Data property count (orkgp:P7040)
- Uses ontology (orkgp:P7041)
- IRI (orkgp:P7042)
- Website (orkgp:P7043)
- Has video (orkgp:P7044)
- Related video (orkgp:P7045)
- Semantic representation (orkgp:P7046)
- Scope (orkgp:P7047)
- Prospective/retrospective (orkgp:P7048)
- Acquisition (orkgp:P7049)
- Metadata (orkgp:P7050)
- High level claims (orkgp:P7051)
- Supports research data (orkgp:P7052)
- Natural language statements (orkgp:P7053)
- Discourse (orkgp:P7054)
- Data type (orkgp:P7055)
- Knowledge representation (orkgp:P7056)
- has subProblem (orkgp:P7057)
- Results from (orkgp:P7058)
- Functions identical to (orkgp:P7059)
- has characteristic (orkgp:P7061)
- achieved by (orkgp:P7062)
- establishes (orkgp:P7063)
- has length (orkgp:P7064)
- has feature (orkgp:P7065)
- has function (orkgp:P7066)
- deployed in (orkgp:P7067)
- Measures (orkgp:P7068)
- measured by (orkgp:P7069)
- has duration (orkgp:P7070)
- Has finding (orkgp:P7071)
- has conclusion (orkgp:P7072)
- uses tool (orkgp:P7073)
- Used for (orkgp:P7074)
- has outcome (orkgp:P7075)
- Addressed by (orkgp:P7076)
- has objective (orkgp:P7077)
- has object (orkgp:P7078)
- Investigates (orkgp:P7079)
- Uses technique (orkgp:P7080)
- Analyzed for features (orkgp:P7081)
- Implemented as (orkgp:P7082)
- Observed in (orkgp:P7084)
- has observations (orkgp:P7085)
- includes (orkgp:P7086)
- At time period (orkgp:P7088)
- has cause (orkgp:P7089)
- replaced by (orkgp:P7090)
- Includes analysis of (orkgp:P7091)
- Operates in (orkgp:P7092)
- lower than (orkgp:P7093)
- applied to (orkgp:P7094)
- produces (orkgp:P7095)
- confirmed by (orkgp:P7096)
- revealed by (orkgp:P7097)
- has participants characteristic (orkgp:P7098)
- has data (orkgp:P7099)
- has evidence (orkgp:P7100)
- Coordination: star agility run (s) mean (orkgp:P71000)
- Coordination: star agility run (s) standard deviation (orkgp:P71001)
- Coordination: Star agility run (m/s) mean (orkgp:P71002)
- coordination: Star agility run (m/s) standard deviation (orkgp:P71003)
- Speed: 20 m (m/s) mean (orkgp:P71004)
- Speed: 20 m (m/s) standard deviation (orkgp:P71005)
- Speed: Reaction time (s) standard deviation aggregate (orkgp:P71006)
- Speed: Reaction time (s) mean aggregate (orkgp:P71007)
- Power: Standing long jump (cm) standard deviation aggregate (orkgp:P71008)
- Power: Standing long jump (cm) mean aggregate (orkgp:P71009)
- has elements (orkgp:P7101)
- Power: Sit-ups (repetitions in 40s) standard deviation aggregate (orkgp:P71010)
- Power: Sit-ups (repetions in 40s) mean aggregate (orkgp:P71011)
- Power: Push-ups (repetitions in 40s) standard deviation aggregate (orkgp:P71012)
- Power: Push-ups (repetitions in 40s) mean aggregate (orkgp:P71013)
- Flexibility: Stand-and-reach (cm) standard deviation aggregate (orkgp:P71014)
- Flexibility: Stand-and-reach (cm) mean aggregate (orkgp:P71015)
- Endurance: Cycle ergometry test (PWC170) (Watt) standard deviation aggregate (orkgp:P71016)
- Endurance: Cycle ergometry test (PWC170) (Watt) mean aggregate (orkgp:P71017)
- Coordination: Jumping sideways (counts in 15s) standard deviation aggregate (orkgp:P71018)
- Coordination: Jumping sideways (counts in 15s) mean aggregate (orkgp:P71019)
- has reference (orkgp:P7102)
- Coordination: Balancing backwards (steps) standard deviation aggregate (orkgp:P71020)
- Coordination: Balancing backwards (steps) mean aggregate (orkgp:P71021)
- Speed: 20 m Sprint (s) mean aggregate (orkgp:P71022)
- Endurance: 6-min run (m) mean aggregate (orkgp:P71023)
- used algorithm (orkgp:P71024)
- used techniques (orkgp:P71025)
- Phases (orkgp:P71026)
- has types (orkgp:P71027)
- Hamming loss (orkgp:P71028)
- has Hamming Loss (orkgp:P71029)
- method applied to (orkgp:P7103)
- has Hierarchical loss (orkgp:P71030)
- has ML-accuracy (orkgp:P71031)
- subset accuracy (orkgp:P71032)
- micro-averaged F-measure (orkgp:P71035)
- Model specificity (orkgp:P71036)
- Multi-label Classification categorised in (orkgp:P71037)
- definition (orkgp:P71038)
- used algorithms (orkgp:P71039)
- method applied to elastin yields staining result (orkgp:P7104)
- Representation Layer (orkgp:P71040)
- classification (orkgp:P71041)
- micro-precision (orkgp:P71042)
- micro-Fmeasure (orkgp:P71043)
- micro-recall (orkgp:P71044)
- has quality type (orkgp:P71046)
- has system measurements (orkgp:P71047)
- has value (orkgp:P71048)
- has unit (orkgp:P71049)
- method applied to collagen fiber yields staining result (orkgp:P7105)
- has binary (orkgp:P71050)
- answer provided (orkgp:P71051)
- answer Type prediction (orkgp:P71052)
- relation linking (orkgp:P71053)
- entity linking (orkgp:P71054)
- type of task (orkgp:P71055)
- amount of questions in training data (orkgp:P71056)
- amount of questions in the test data (orkgp:P71057)
- configuration setting (orkgp:P71058)
- NDCG@5 (orkgp:P71059)
- method applied to filament yields staining result (orkgp:P7106)
- NDCG@10 (orkgp:P71060)
- stopwords (orkgp:P71061)
- stemming (orkgp:P71062)
- lemma (orkgp:P71063)
- text feature (orkgp:P71064)
- iteration (orkgp:P71065)
- number of type (orkgp:P71066)
- data splitting method (orkgp:P71067)
- reporting level (orkgp:P71068)
- knowledge graph name (orkgp:P71069)
- method applied to unit membranes yields staining result (orkgp:P7107)
- using an ontology (orkgp:P71070)
- knowledge used (orkgp:P71071)
- knowledge graph content (orkgp:P71072)
- hasModel (orkgp:P71074)
- hasEvaluation (orkgp:P71075)
- Plane (orkgp:P71076)
- Controller (orkgp:P71077)
- Recall (orkgp:P71079)
- realizes (orkgp:P7108)
- micro-F1 (orkgp:P71080)
- Accuracy (orkgp:P71081)
- macro-F1 (orkgp:P71082)
- no of labels (orkgp:P71083)
- has classes (orkgp:P71085)
- has training set (orkgp:P71086)
- Avg Characters (orkgp:P71087)
- Avg words (orkgp:P71088)
- Avg Entity (orkgp:P71089)
- Avg Concept (orkgp:P71090)
- Avg Length (orkgp:P71091)
- has uncertainty value (orkgp:P71092)
- has uncertainty unit (orkgp:P71093)
- classification system (orkgp:P71094)
- A representative selection of keywords (orkgp:P71095)
- validation set (orkgp:P71096)
- Avg Entities (orkgp:P71097)
- reference system (orkgp:P71098)
- CO2 footprint process (orkgp:P71099)
- Token per News (orkgp:P71100)
- Risk types (orkgp:P71102)
- Types of riks (orkgp:P71103)
- Quantitative methods (orkgp:P71104)
- Qualitative methods (orkgp:P71105)
- Supply chain risks management process (orkgp:P71106)
- biometrics (orkgp:P71107)
- hash function (orkgp:P71108)
- R219771 (orkgp:P71109)
- has name (orkgp:P7111)
- R219773 (orkgp:P71110)
- R219784 (orkgp:P71111)
- R219786 (orkgp:P71112)
- time points (orkgp:P71113)
- Network domination (orkgp:P71114)
- Types of relationships based on business procedures (orkgp:P71115)
- Has-statistics (orkgp:P71116)
- Number of teams (orkgp:P71117)
- F1-Score [1c-1w-0f] (Fake News) (orkgp:P71118)
- F1-Score [1c-1w-0f] (Real News) (orkgp:P71119)
- has version (orkgp:P7112)
- ROC-AUC [1c-1w-0f] (orkgp:P71120)
- F1-Score [2c-2w-2f] (Fake News) (orkgp:P71121)
- F1-Score [2c-1w-0f] (Fake News) (orkgp:P71122)
- F1-Score [2c-0w-0f] (Fake News) (orkgp:P71123)
- F1-Score [0c-2w-0f] (Fake News) (orkgp:P71124)
- F1-Score [2c-2w-2f] (Real News) (orkgp:P71125)
- F1-Score [2c-1w-0f] (Real News) (orkgp:P71126)
- F1-Score [2c-0w-0f] (Real News) (orkgp:P71127)
- F1-Score [0c-2w-0f] (Real News) (orkgp:P71128)
- ROC-AUC [2c-1w-0f] (orkgp:P71129)
- has quality (orkgp:P7113)
- ROC-AUC [2c-0w-0f] (orkgp:P71130)
- ROC-AUC [0c-2w-0f] (orkgp:P71131)
- ROC-AUC [2c-2w-2f] (orkgp:P71132)
- F1-Score (Five-fold cross-validation) (orkgp:P71133)
- number of recipe (orkgp:P71134)
- question answering task (orkgp:P71135)
- question answering components (orkgp:P71136)
- knowledge graph language (orkgp:P71138)
- Subject area classifications (orkgp:P71139)
- has documentation (orkgp:P7114)
- Test Accuracy (%) (orkgp:P71140)
- Charlie Hebdo (Rumors) (orkgp:P71141)
- Ferguson (Non-Rumors) (orkgp:P71142)
- Ferguson (Rumors) (orkgp:P71143)
- Germanwings Crash (Non-Rumors) (orkgp:P71144)
- Germanwings Crash (Rumors) (orkgp:P71145)
- Ottawa Shooting (Non-Rumors) (orkgp:P71146)
- Ottawa Shooting (Rumors) (orkgp:P71147)
- Sydney Siege (Non-Rumors) (orkgp:P71148)
- Sydney Siege (Rumors) (orkgp:P71149)
- Has Horizontal Discretization (orkgp:P7115)
- Total Non-Rumors (orkgp:P71150)
- Total Rumors (orkgp:P71151)
- hasKind (orkgp:P71152)
- textValue (orkgp:P71153)
- evaluation item (orkgp:P71154)
- number of databases (orkgp:P71155)
- Dimensions (orkgp:P71156)
- WOS CC (orkgp:P71157)
- Subject sizes (orkgp:P71158)
- standard deviation (orkgp:P71159)
- River Routing (orkgp:P7116)
- Cereal Crop (orkgp:P71160)
- mean absolute error (orkgp:P71161)
- has input dataset (orkgp:P71162)
- has input model (orkgp:P71163)
- has output dataset (orkgp:P71164)
- hasName (orkgp:P71166)
- Availibility Type (orkgp:P71167)
- has Quality Aspects (orkgp:P71168)
- Input Type (orkgp:P71169)
- Input type (orkgp:P71170)
- bonding type (orkgp:P71171)
- has url (orkgp:P71174)
- has result (orkgp:P71175)
- model type (orkgp:P71176)
- temporal resolution (orkgp:P71177)
- calculation period (orkgp:P71178)
- wind speed height (orkgp:P71179)
- spatial resolution (orkgp:P71180)
- API (orkgp:P71181)
- data processing workflow (orkgp:P71182)
- data acquisition workflow (orkgp:P71183)
- weather/climate dataset used (orkgp:P71184)
- turbine data (orkgp:P71185)
- geographical dataset (orkgp:P71186)
- roughness data used (orkgp:P71187)
- wind rose input (orkgp:P71188)
- Scheme method (orkgp:P7119)
- Wind power calculated? (orkgp:P71190)
- model workflow (orkgp:P71191)
- Extra training data (orkgp:P71192)
- number of parameters (orkgp:P71194)
- Robustness report (orkgp:P71195)
- hardware burden (orkgp:P71196)
- compared with (orkgp:P71197)
- Location of (orkgp:P71199)
- Has Prognostic Variable (orkgp:P7120)
- method of (orkgp:P71201)
- part of (orkgp:P71202)
- Process of (orkgp:P71203)
- uses (orkgp:P71204)
- major phases (orkgp:P71205)
- major phases (orkgp:P71206)
- has components (orkgp:P71207)
- F1-Score (orkgp:P71208)
- models (orkgp:P71209)
- model family (orkgp:P7121)
- for (orkgp:P71210)
- Ontology learning component (orkgp:P71211)
- approximate f1 score (orkgp:P71212)
- approximate precision (orkgp:P71213)
- table source (orkgp:P71214)
- number of relational table (orkgp:P71215)
- avg number of rows (orkgp:P71216)
- avg number of column (orkgp:P71217)
- Number of layer (orkgp:P71218)
- content injection (orkgp:P71219)
- has spatial resolution (orkgp:P7122)
- cross-site request forgery (CSRF) (orkgp:P71220)
- cookie forcing (orkgp:P71221)
- network attacks (orkgp:P71222)
- usability (orkgp:P71223)
- compatibility (orkgp:P71224)
- Goal (orkgp:P71225)
- Deployment (orkgp:P71227)
- Unit of deception (orkgp:P71228)
- complex hyperparameter space (orkgp:P71229)
- drift of sea level height (orkgp:P7123)
- multi-objective (orkgp:P71230)
- multi-fidelity (orkgp:P71231)
- instance (orkgp:P71232)
- parallel computing (orkgp:P71233)
- flexibility (orkgp:P71234)
- lifecycle management (orkgp:P71235)
- effectiveness (orkgp:P71236)
- dependability (orkgp:P71237)
- Simulated Antarctic sea ice extent (orkgp:P7130)
- Total Arctic sea ice extent (orkgp:P7131)
- Sea ice off Alaska (orkgp:P7132)
- Sea ice over the eastern part of the Siberian Basin (orkgp:P7133)
- has horizontal resolution (orkgp:P7135)
- Coupling With Atmosphere (orkgp:P7136)
- Has horizontal resolution (orkgp:P7137)
- spectral (orkgp:P7142)
- Earth System Model (orkgp:P7144)
- Carbon Cycle (orkgp:P7145)
- has species (orkgp:P7146)
- sequencing platform (orkgp:P7147)
- read length in base pairs (paired-end*) (orkgp:P7149)
- reads per run in Million (orkgp:P7150)
- runtime in days (orkgp:P7151)
- total data output yield in Gigabyte (orkgp:P7152)
- data output rate in Gigabyte per day (orkgp:P7153)
- reagents cost in $ (orkgp:P7154)
- cost per Gigabyte data output in $ (orkgp:P7155)
- cost of resequencing a human genome with 30X coverage in $ (orkgp:P7156)
- cost of machine in $ (orkgp:P7157)
- Has scheme (orkgp:P7158)
- Basic Approximations (orkgp:P7159)
- major ice sheets (orkgp:P7163)
- Minor ice caps (orkgp:P7165)
- has application (orkgp:P7167)
- even coverage (orkgp:P7168)
- Cold deep snow albedo (orkgp:P7173)
- Bare ice albedo (orkgp:P7174)
- Melting deep snow albedo (orkgp:P7175)
- Critical Richardson number (orkgp:P7179)
- Radiation scheme (orkgp:P7180)
- Surface Air Temperature (orkgp:P7184)
- Bias of global mean surface air temperature against ERA-Interim reanalysis (orkgp:P7189)
- RMSE of global mean surface air temperature against ERA-Interim reanalysis (orkgp:P7190)
- Bias of mean surface temperature over northern hemisphere land against ERA-Interim reanalysis: (orkgp:P7191)
- Bias of mean surface temperature over high latitudes Southern Ocean (>60°) against ERA-Interim reanalysis (orkgp:P7192)
- Bias of mean surface temperature over high latitudes Southern Ocean (>60°) against ERA-Interim reanalysis (orkgp:P7193)
- Bias of global mean precipitation against GPCP climatology (orkgp:P7194)
- Cloud scheme (orkgp:P7195)
- Bias of northern hemisphere (0°-60°N) annual mean cloud amount against the D2 ISCCP observations (orkgp:P7196)
- Bias of northern hemisphere (0°-60°N) annual mean cloud amount against the D2 ISCCP observations (orkgp:P7197)
- Bias of southern hemisphere (60°S-0°) annual mean cloud amount against the D2 ISCCP observations (orkgp:P7198)
- Bias of southern hemisphere (60°S-0°) annual mean cloud amount against the D2 ISCCP observations (orkgp:P7199)
- Real News (Validation size) (orkgp:P72000)
- Fake News (Validation size) (orkgp:P72001)
- Number of unique words (Real News) (orkgp:P72002)
- Number of unique words (Fake News) (orkgp:P72003)
- Real News (labels) (orkgp:P72004)
- Fake News (labels) (orkgp:P72005)
- number of trees (orkgp:P72006)
- number of features (orkgp:P72007)
- training samples (orkgp:P72008)
- Sea-ice volume trend in the northern hemisphere (orkgp:P7201)
- Sea-ice volume trend in the southern hemisphere (orkgp:P7202)
- Sea-ice volume trend in the northern hemisphere (orkgp:P7203)
- Trend of SST (orkgp:P7204)
- Bias of global mean SST (orkgp:P7205)
- Bias of global mean SSS against the WOA2009 data (orkgp:P7206)
- Dynamical Core (orkgp:P7207)
- Scheme Type (orkgp:P7208)
- Solution (orkgp:P7210)
- Ontology (orkgp:P7211)
- Full name (orkgp:P7212)
- Example class (orkgp:P7213)
- Description (orkgp:P7214)
- Class count (orkgp:P7215)
- Object property count (orkgp:P7216)
- Data property count (orkgp:P7217)
- Uses ontology (orkgp:P7218)
- IRI (orkgp:P7219)
- Website (orkgp:P7220)
- Ontology (orkgp:P7221)
- Full name (orkgp:P7222)
- Example class (orkgp:P7223)
- Description (orkgp:P7224)
- Class count (orkgp:P7225)
- Object property count (orkgp:P7226)
- Data property count (orkgp:P7227)
- Uses ontology (orkgp:P7228)
- IRI (orkgp:P7229)
- Website (orkgp:P7230)
- Energy components (orkgp:P73000)
- Specific energy consumption function (orkgp:P73002)
- Capacity (orkgp:P74000)
- Type of system (orkgp:P74001)
- question template (orkgp:P74002)
- generated question (orkgp:P74003)
- Training loss (orkgp:P74004)
- Number of training headlines (orkgp:P74005)
- Number of test headlines (orkgp:P74006)
- Number of training instances (orkgp:P74007)
- Number of test instances (orkgp:P74008)
- Agree (Training size) (orkgp:P74009)
- Disagree (Training size) (orkgp:P74010)
- Discuss (Training size) (orkgp:P74011)
- Unrelated (Training size) (orkgp:P74012)
- Agree (Testing size) (orkgp:P74013)
- Disagree (Testing size) (orkgp:P74014)
- Discuss (Testing size) (orkgp:P74015)
- Unrelated (Testing size) (orkgp:P74016)
- Accuracy (Agree) (orkgp:P74017)
- Accuracy (Disagree) (orkgp:P74018)
- Accuracy (Discuss) (orkgp:P74019)
- Accuracy (Unrelated) (orkgp:P74020)
- Total Posts (orkgp:P74021)
- Total Events (orkgp:P74022)
- Average Posts per Event (orkgp:P74023)
- Minimum Posts per Event (orkgp:P74024)
- Maximum Posts per Event (orkgp:P74025)
- Affiliations (orkgp:P74026)
- Authors with affiliations (orkgp:P74027)
- Correspondence Address (orkgp:P74028)
- ISSN (orkgp:P74029)
- Language of Original Document (orkgp:P74030)
- Abbreviated Source Title (orkgp:P74031)
- CODEN (orkgp:P74032)
- PubMed ID (orkgp:P74033)
- Editors (orkgp:P74034)
- Average retweet per story (orkgp:P74035)
- Average words per source tweet (orkgp:P74036)
- F1-score (Micro average) (orkgp:P74037)
- competency question (orkgp:P74038)
- learning technique (orkgp:P75000)
- significance (orkgp:P76002)
- data analysis method (orkgp:P76003)
- partition label (orkgp:P76004)
- Wikidata ID (orkgp:P76020)
- experimental unit (orkgp:P77000)
- Number of experimental units (orkgp:P77001)
- Goal and Scope (orkgp:P77002)
- Intervention (orkgp:P77004)
- Intervention Type (orkgp:P77005)
- type of rTMS (orkgp:P78000)
- intraburst frequency (orkgp:P78001)
- stimulation intensity selection approach (orkgp:P78002)
- threshold-estimation strategies (orkgp:P78003)
- threshold measurement (orkgp:P78005)
- amplitude of the motor evoked potential in microvolt (orkgp:P78006)
- threshold ratio (orkgp:P78007)
- percentage or the amplitude of the motor threshold contraction (orkgp:P78008)
- maximum stimulator output (orkgp:P78009)
- stimulator company (orkgp:P78010)
- stimulator model (orkgp:P78011)
- coil shape (orkgp:P78012)
- coil size (orkgp:P78013)
- coil model (orkgp:P78014)
- note (orkgp:P78015)
- orkg:P78000 (orkgp:P78016)
- orkg:P78001 (orkgp:P78017)
- orkg:P78002 (orkgp:P78018)
- orkg:P78009 (orkgp:P78019)
- orkg:P78010 (orkgp:P78020)
- orkg:P78011 (orkgp:P78021)
- orkg:P78012 (orkgp:P78022)
- orkg:P78013 (orkgp:P78023)
- orkg:P78014 (orkgp:P78024)
- orkg:P78015 (orkgp:P78025)
- orkg:P78005 (orkgp:P78026)
- orkg:P78006 (orkgp:P78027)
- orkg:P78007 (orkgp:P78028)
- orkg:P78003 (orkgp:P78029)
- scenario modelled (orkgp:P78031)
- do (orkgp:P79000)
- considered aspect (orkgp:P79002)
- average raw query length (orkgp:P79003)
- average expanded query length (orkgp:P79004)
- average number of answer (orkgp:P79005)
- average number of constraint (orkgp:P79006)
- Mean Average Recall (orkgp:P79007)
- email (orkgp:P8)
- applies (orkgp:P8000)
- year created (orkgp:P80000)
- granularity created (orkgp:P80001)
- age minimum including (orkgp:P80002)
- age maximum including (orkgp:P80003)
- question answering type of system (orkgp:P80004)
- user query (orkgp:P80005)
- dietary preference (orkgp:P80006)
- health guidelines (orkgp:P80007)
- ground truth answer (orkgp:P80008)
- mention Type (orkgp:P80009)
- proposes (orkgp:P8001)
- number of Post (orkgp:P80010)
- extracts (orkgp:P8004)
- scales up (orkgp:P8005)
- dietary preferences (orkgp:P81000)
- dataset config (orkgp:P81001)
- method evaluated (orkgp:P82000)
- type of evaluation (orkgp:P82001)
- machine or human evaluation (orkgp:P82002)
- major classes (orkgp:P82003)
- score (orkgp:P82004)
- ontology design pattern (orkgp:P83000)
- used operation (orkgp:P83001)
- task (orkgp:P83002)
- Abstract Architectural Design (orkgp:P83003)
- Detailed Architectural Design (orkgp:P83004)
- Rule-based (orkgp:P83005)
- Retrieval-based (orkgp:P83006)
- Generative-based (orkgp:P83007)
- User message analysis component (orkgp:P83008)
- Spell checker (orkgp:P83009)
- Dialog management component (orkgp:P83010)
- Ambiguity handling (orkgp:P83011)
- Data handling (orkgp:P83012)
- Error handling (orkgp:P83013)
- Backend (orkgp:P83014)
- Response generation component (orkgp:P83015)
- NGSO operational challenges (orkgp:P84000)
- Waveform design and access schemes (orkgp:P84001)
- Software-defined satellites (orkgp:P84002)
- Resource optimization (orkgp:P84003)
- NGSO space missions (orkgp:P84004)
- Constellation design methods (orkgp:P84005)
- Inter-satellite connectivity (orkgp:P84006)
- Interference management (orkgp:P84007)
- Secure communications (orkgp:P84008)
- In-space backhauling (orkgp:P84009)
- NGSO active antenna systems (orkgp:P84010)
- Satellite network slicing (orkgp:P84011)
- Accuracy (Real News) (orkgp:P84012)
- Accuracy (Fake News) (orkgp:P84013)
- Satire News (orkgp:P84014)
- User Engagements (Training size) (orkgp:P84015)
- User Engagements (Testing size) (orkgp:P84016)
- User Engagements (Validation size) (orkgp:P84017)
- Average time length per event (in hours) (orkgp:P84018)
- Average post per event (orkgp:P84019)
- Maximum post per event (orkgp:P84020)
- Minimum post per event (orkgp:P84021)
- number of units (orkgp:P85002)
- Satire (Training size) (orkgp:P85003)
- Satire (Testing size) (orkgp:P85004)
- Satire (Validation size) (orkgp:P85005)
- Misleading Content (Training size) (orkgp:P85006)
- Misleading Content (Testing size) (orkgp:P85007)
- Misleading Content (Validation size) (orkgp:P85008)
- Imposter Content (Training size) (orkgp:P85009)
- Imposter Content (Testing size) (orkgp:P85010)
- Imposter Content (Validation size) (orkgp:P85011)
- False Content (Testing size) (orkgp:P85012)
- False Content (Training size) (orkgp:P85013)
- False Content (Validation size) (orkgp:P85014)
- Manipulated Content (Training size) (orkgp:P85015)
- Manipulated Content (Testing size) (orkgp:P85016)
- Manipulated Content (Validation size) (orkgp:P85017)
- Impact categories (orkgp:P86000)
- Initial pH of the treatment (orkgp:P86001)
- BOD5 (mg O2⋅L−1) (orkgp:P86002)
- BOD5 removal (%) (orkgp:P86003)
- COD (mg O2⋅L−1) (orkgp:P86004)
- COD removal (%) (orkgp:P86005)
- COD /BOD5 (orkgp:P86006)
- TOC removal (%) (orkgp:P86007)
- Turbidity removal (%) (orkgp:P86008)
- Color removal (%) (orkgp:P86009)
- Total Impact Category w/ Climate Change (orkgp:P86010)
- CO 2eq w/o Use and EoL WOOL KNIT SWEATER (orkgp:P86013)
- CO 2eq w/o Use and EoL POLYESTER KNIT SHIRT (orkgp:P86014)
- CO 2eq w/o Use and EoL cotton knit shirt (orkgp:P86015)
- CO 2eq w/o Use and EoL t-shirt (orkgp:P86016)
- CO 2eq w/o Use and EoL knitted fabric Nylon (orkgp:P86018)
- CO 2eq w/o Use and EoL knitted fabric acryl (orkgp:P86019)
- CO 2eq w/o Use and EoL knitted fabric PET (orkgp:P86020)
- CO 2eq w/o Use and EoL knitted fabric elastan (orkgp:P86021)
- CO 2eq w/o Use and EoL triclosan (orkgp:P86022)
- CO 2eq w/o Use and EoL nanosilver-FSP (orkgp:P86023)
- CO 2eq w/o Use and EoL nanosilver-plaSpu (orkgp:P86024)
- Difference w/ Use and EoL wool knit (orkgp:P86025)
- Difference w/ Use and EoL polyester knit shirt (orkgp:P86026)
- Difference w/ Use and EoL cotton knit shirt (orkgp:P86027)
- Difference w/ Use and EoL t-shirt (orkgp:P86028)
- Site selection (orkgp:P86030)
- microbe (orkgp:P86031)
- type of toxin (orkgp:P86032)
- toxin effect (orkgp:P86033)
- % of respondents (orkgp:P87000)
- Question Answering category (orkgp:P87001)
- value (orkgp:P88000)
- UML ID (orkgp:P88001)
- has data (orkgp:P88002)
- ORCID (orkgp:P9)
- radiation resolution (orkgp:P90000)
- has dataset (orkgp:P9001)
- has p-value (orkgp:P9002)
- value specification (orkgp:P9003)
- specified numeric value (orkgp:P9004)
- study design dependent variable (orkgp:P9005)
- p-value (orkgp:P9006)
- Modality (orkgp:P9008)
- Pretrained model (orkgp:P9009)
- Clustering method (orkgp:P9010)
- mean Average Precision (orkgp:P9011)
- image to text retrieval (orkgp:P9012)
- R@1 (orkgp:P9013)
- Image-to-Text Retrieval (orkgp:P9014)
- Text-to-Image Retrieval (orkgp:P9015)
- R@10 (orkgp:P9016)
- Median Rank (orkgp:P9017)
- Has model (orkgp:P9018)
- Has heuristic (orkgp:P9019)
- Has exact solution method (orkgp:P9020)
- Visual (orkgp:P9021)
- electrolyte (orkgp:P9022)
- has instance (orkgp:P9023)
- Source (orkgp:P9024)
- has system specification (orkgp:P9025)
- has performance (orkgp:P9026)
- has evaluation score (orkgp:P9028)
- Has experimental datasets (orkgp:P9037)
- Notes (orkgp:P9039)
- Study date (orkgp:P9040)
- Methods (orkgp:P9041)
- Approaches (orkgp:P9042)
- 95% Confidence interval (orkgp:P9044)
- R0 estimates (average) (orkgp:P9045)
- has age (orkgp:P9057)
- has gender (orkgp:P9058)
- has illness (orkgp:P9059)
- date of illness onset (orkgp:P9060)
- date of hospital admission (orkgp:P9061)
- has symptom (orkgp:P9062)
- receives therapy (orkgp:P9063)
- has drug (orkgp:P9064)
- has technique (orkgp:P9065)
- RNeasy Plus Universal Mini kit (orkgp:P9066)
- has date (orkgp:P9069)
- has instrument (orkgp:P9070)
- Material (orkgp:P9071)
- type of the paper (orkgp:P91000)
- title metadata (orkgp:P91001)
- author metadata (orkgp:P91002)
- affiliation metadata (orkgp:P91003)
- address metadata (orkgp:P91004)
- email metadata (orkgp:P91005)
- date metadata (orkgp:P91006)
- phone number metadata (orkgp:P91007)
- web or url metatada (orkgp:P91008)
- degree metadata (orkgp:P91009)
- ISSN metadata (orkgp:P91010)
- note metadata (orkgp:P91011)
- abstract metadata (orkgp:P91012)
- introduction metadata (orkgp:P91013)
- keyword metadata (orkgp:P91014)
- page metadata (orkgp:P91015)
- color shade (orkgp:P91016)
- RoBERTa-BiLSTM-CRF (orkgp:P92001)
- book title metadata (orkgp:P93000)
- editor metadata (orkgp:P93001)
- institution metadata (orkgp:P93002)
- journal metadata (orkgp:P93003)
- location metadata (orkgp:P93004)
- publisher metadata (orkgp:P93006)
- tech metadata (orkgp:P93007)
- volume metadata (orkgp:P93008)
- ref-marker metadata (orkgp:P93010)
- venue metadata (orkgp:P93011)
- status metadata (orkgp:P93012)
- language metadata (orkgp:P93013)
- organization metadata (orkgp:P93014)
- number metadata (orkgp:P93015)
- series metadata (orkgp:P93016)
- chapter metadata (orkgp:P93017)
- thesis metadata (orkgp:P93018)
- school metadata (orkgp:P93019)
- department metadata (orkgp:P93020)
- person-first metadata (orkgp:P93021)
- person- middle metadata (orkgp:P93022)
- person-last metadata (orkgp:P93023)
- person-affix metadata (orkgp:P93024)
- number of fields (orkgp:P94000)
- training records (orkgp:P94001)
- testing records (orkgp:P94002)
- method type (orkgp:P94003)
- objective key-insight (orkgp:P94011)
- method key-insight (orkgp:P94012)
- result key-insight (orkgp:P94013)
- conclusion key-insight (orkgp:P94014)
- background key-insight (orkgp:P94015)
- related work key-insight (orkgp:P94016)
- future work key-insight (orkgp:P94017)
- hypothesis key-insight (orkgp:P94020)
- motivation key-insight (orkgp:P94021)
- goal key-insight (orkgp:P94022)
- object key-insight (orkgp:P94023)
- experiment key-insight (orkgp:P94024)
- model key-insight (orkgp:P94025)
- observation key-insight (orkgp:P94026)
- gap key-insight (orkgp:P94027)
- purpose key-insight (orkgp:P94028)
- challenge key-insight (orkgp:P94029)
- approach key-insight (orkgp:P94030)
- outcome key-insight (orkgp:P94031)
- Sampling Design (orkgp:P94033)
- R-script (orkgp:P94034)
- Clusters (orkgp:P95000)
- hypothesis (orkgp:P95001)
- Medical Problems (orkgp:P95003)
- Treatment (orkgp:P95004)
- underlying model (orkgp:P95006)
- Zone Mapping (orkgp:P96000)
- Service (orkgp:P96001)
- Category (orkgp:P96002)
- Offering (orkgp:P96003)
- Context Predicate (orkgp:P96004)
- Roles (orkgp:P96005)
- Users (orkgp:P96006)
- green space per capita (orkgp:P96007)
- User’s accuracy (orkgp:P96008)
- Producer’s accuracy (orkgp:P96009)
- StudyStartDate (orkgp:P96010)
- StudyEndDate (orkgp:P96011)
- FirstAuthor (orkgp:P96012)
- City (orkgp:P96013)
- GeographicalRegion (orkgp:P96014)
- StringencyIndex (orkgp:P96015)
- PM25_prcnt_change (orkgp:P96016)
- PM25_ugm3_Reference_avg (orkgp:P96017)
- PM25_ugm3_Reference_sd (orkgp:P96018)
- PM25_ugm3_Lockdown_avg (orkgp:P96019)
- PM25_ugm3_Lockdown_sd (orkgp:P96020)
- AdditionalDetails (orkgp:P96021)
- NO2_prcnt_change (orkgp:P96022)
- NO2_ugm3_Reference_avg (orkgp:P96023)
- NO2_ugm3_Lockdown_avg (orkgp:P96024)
- NOX_prcnt_change (orkgp:P96025)
- O3_prcnt_change (orkgp:P96026)
- O3_ugm3_Reference_avg (orkgp:P96027)
- O3_ugm3_Lockdown_avg (orkgp:P96028)
- NO2_ugm3_Reference_sd (orkgp:P96029)
- CO_prcnt_change (orkgp:P96030)
- CO_mgm3_Reference_avg (orkgp:P96031)
- CO_mgm3_Reference_sd (orkgp:P96032)
- CO_mgm3_Lockdown_avg (orkgp:P96033)
- PM10_prcnt_change (orkgp:P96034)
- AQI_prcnt_change (orkgp:P96035)
- NO2_prcnt_change_er (orkgp:P96036)
- CO_prcnt_change_er (orkgp:P96037)
- PM25_prcnt_change_er (orkgp:P96038)
- PM10_prcnt_change_er (orkgp:P96039)
- O3_prcnt_change_er (orkgp:P96040)
- O3_ugm3_Reference_sd (orkgp:P96041)
- SO2_prcnt_change (orkgp:P96042)
- SO2_prcnt_change_er (orkgp:P96043)
- NO2_ugm3_Lockdown_sd (orkgp:P96044)
- Dataset (orkgp:P96045)
- Standford NLP (orkgp:P96046)
- k(from KNN) (orkgp:P96047)
- R (orkgp:P96049)
- t (orkgp:P96051)
- descriptive validity (orkgp:P97000)
- theoretical validity (orkgp:P97001)
- repeatability (orkgp:P97002)
- task facet (orkgp:P97003)
- research facet (orkgp:P97004)
- contribution facet (orkgp:P97005)
- Conference (orkgp:P97006)
- Place (orkgp:P97007)
- abstract-body metadata (orkgp:P97008)
- abstract-heading metadata (orkgp:P97010)
- biography metadata (orkgp:P97011)
- highlight metadata (orkgp:P97014)
- drop-cap metadata (orkgp:P97015)
- caption metadata (orkgp:P97016)
- keyword-body metadata (orkgp:P97017)
- keyword-heading metadata (orkgp:P97018)
- membership metadata (orkgp:P97019)
- page number metadata (orkgp:P97020)
- pseudo code metadata (orkgp:P97021)
- publication-info metadata (orkgp:P97022)
- reader-service metadata (orkgp:P97023)
- synopsis metadata (orkgp:P97024)
- author affiliation metadata (orkgp:P97026)
- author affiliation mapping metadata (orkgp:P97027)
- table of content metadata (orkgp:P97028)
- text-body metadata (orkgp:P97032)
- approch (orkgp:P97034)
- approach (orkgp:P97035)
- tool (orkgp:P97039)
- tool description (orkgp:P97041)
- tool benefits (orkgp:P97042)
- tool URL (orkgp:P97043)
- similar tools (orkgp:P97044)
- tool disadvantages (orkgp:P97045)
- challenge name (orkgp:P97046)
- starting date (orkgp:P97047)
- ending date (orkgp:P97048)
- # round (orkgp:P97049)
- tasks (orkgp:P97050)
- challenge track (orkgp:P97051)
- knowledge graph (orkgp:P97052)
- # participants (orkgp:P97053)
- challenge platform (orkgp:P97054)
- ground truth provided (orkgp:P97055)
- semtab systems (orkgp:P97056)
- Material (orkgp:P97057)
- ReferenceCount (orkgp:P97058)
- CitationCount (orkgp:P97059)
- InfluentialCitationCount (orkgp:P97060)
- IsOpenAccess (orkgp:P97061)
- FieldsOfStudy (orkgp:P97062)
- PublicationTypes (orkgp:P97063)
- PublicationDate (orkgp:P97064)
- paper:venue (orkgp:P97065)
- paper:year (orkgp:P97066)
- paper:referenceCount (orkgp:P97067)
- paper:citationCount (orkgp:P97068)
- paper:influentialCitationCount (orkgp:P97069)
- paper:isOpenAccess (orkgp:P97070)
- paper:fieldsOfStudy (orkgp:P97071)
- paper:publicationTypes (orkgp:P97072)
- paper:publicationDate (orkgp:P97073)
- paper:abstract (orkgp:P97074)
- Memorywise-Effortless (orkgp:P97076)
- Scalable-for-Users (orkgp:P97077)
- Nothing-to-Carry (orkgp:P97078)
- Easy-to-Learn (orkgp:P97080)
- Efficient-to-Use (orkgp:P97081)
- Infrequent-Errors (orkgp:P97082)
- Easy-Recovery-from-Loss (orkgp:P97083)
- Accessible (orkgp:P97084)
- Negligible-Cost-per-User (orkgp:P97085)
- Server-Compatible (orkgp:P97086)
- Browser-Compatible (orkgp:P97087)
- Mature (orkgp:P97088)
- Non-Proprietary (orkgp:P97089)
- Resilient-to-Physical-Observation (orkgp:P97090)
- Resilient-to-Targeted-Impersonation (orkgp:P97091)
- Resilient-to-Internal-Observation (orkgp:P97094)
- Resilient-to-Phishing (orkgp:P97096)
- Resilient-to-Theft (orkgp:P97097)
- No-Trusted-Third-Party (orkgp:P97098)
- Requiring-Explicit-Consent (orkgp:P97099)
- Unlinkable (orkgp:P97100)
- first prize (orkgp:P97102)
- second prize (orkgp:P97103)
- third prize (orkgp:P97104)
- first prize comment (orkgp:P97105)
- second prize comment (orkgp:P97106)
- third prize comment (orkgp:P97107)
- # core participant (orkgp:P97108)
- # table (orkgp:P97109)
- Knowledge Graph used for annotation (orkgp:P97110)
- # column (orkgp:P97111)
- # row (orkgp:P97112)
- # classes (orkgp:P97113)
- # entity (orkgp:P97115)
- Aligned with FAIR principles (orkgp:P97116)
- # avg row (orkgp:P97118)
- # avg column (orkgp:P97119)
- # CEA target (orkgp:P97120)
- # CTA target (orkgp:P97121)
- # CPA target (orkgp:P97122)
- property of the dataset (orkgp:P97123)
- dataset annotation type (orkgp:P97124)
- split into (orkgp:P97126)
- # accepted submission (orkgp:P97127)
- # rejected submission (orkgp:P97128)
- # poster (orkgp:P97129)
- tabular dataset (orkgp:P97130)
- column entity annotation (orkgp:P97131)
- column type annotation (orkgp:P97132)
- column property annotation (orkgp:P97133)
- matching strategy (orkgp:P97135)
- system module (orkgp:P97136)
- table selection technique (orkgp:P97138)
- label generation technique (orkgp:P97139)
- spliting technique (orkgp:P97140)
- city (orkgp:P97141)
- method (orkgp:P97142)
- PM25_prcnt_change (orkgp:P97143)
- city (orkgp:P97144)
- method (orkgp:P97145)
- PM25_prcnt_change (orkgp:P97146)
- co-located with (orkgp:P97147)
- lesson learned (orkgp:P97149)
- # DBpedia properties (orkgp:P97150)
- # Schema.org property (orkgp:P97151)
- # schema.org class (orkgp:P97152)
- # CTA participant (orkgp:P97153)
- # CEA participant (orkgp:P97154)
- CPA participant (orkgp:P97155)
- average F1 CEA (orkgp:P97156)
- average F1 CTA (orkgp:P97157)
- average F1 CPA (orkgp:P97158)
- entity (orkgp:P97159)
- CTA (orkgp:P97160)
- CPA (orkgp:P97161)
- # annotated column (orkgp:P97162)
- # data source (orkgp:P97163)
- cta method (orkgp:P97164)
- cea method (orkgp:P97165)
- cpa method (orkgp:P97166)
- participated challenge (orkgp:P97167)
- computational evaluation (orkgp:P97168)
- # min row (orkgp:P97172)
- # max row (orkgp:P97173)
- # min column (orkgp:P97174)
- # max column (orkgp:P97175)
- limit of existing (orkgp:P97176)
- # NILs mention (orkgp:P97178)
- PM25_ugm3_Lockdown_avg (orkgp:P97179)
- PM25_ugm3_Lockdown_sd (orkgp:P97180)
- PM25_ugm3_Reference_avg (orkgp:P97181)
- StudyEndDate (orkgp:P97182)
- StudyStartDate (orkgp:P97183)
- PM25_ugm3_Lockdown_avg (orkgp:P97184)
- PM25_ugm3_Lockdown_sd (orkgp:P97185)
- PM25_ugm3_Reference_avg (orkgp:P97186)
- PM25_ugm3_Reference_sd (orkgp:P97187)
- StringencyIndex (orkgp:P97188)
- StudyEndDate (orkgp:P97189)
- StudyStartDate (orkgp:P97190)
- other awarded (orkgp:P97191)
- other awarded comments (orkgp:P97192)
- # Avg. Rows (target CEA) (orkgp:P97193)
- # Avg. Cols (target CEA) (orkgp:P97194)
- # Avg. Cols (target CTA) (orkgp:P97195)
- # Avg. Cols (target CPA) (orkgp:P97196)
- element extracted (orkgp:P97197)
- # linked cells (orkgp:P97200)
- # typed cols (orkgp:P97201)
- recall CEA (orkgp:P97202)
- precision CEA (orkgp:P97203)
- precision CTA (orkgp:P97205)
- recall CPA (orkgp:P97206)
- precision CPA (orkgp:P97207)
- round participated (orkgp:P97208)
- comment on the challenge (orkgp:P97209)
- property of the system (orkgp:P97210)
- average precision CEA (orkgp:P98000)
- average precision CTA (orkgp:P98002)
- average precision CPA (orkgp:P98003)
- average recall CEA (orkgp:P98004)
- average recall CTA (orkgp:P98005)
- urban boundaries of study (orkgp:P98007)
- racial groups (orkgp:P98008)
- white people (orkgp:P98010)
- number of closed question (orkgp:P98012)
- number of open-ended questions (orkgp:P98013)
- proportion of population (orkgp:P98014)
- same as (orkgp:P98015)
- f1 CEA (orkgp:P99000)
- f1 CTA (orkgp:P99001)
- f1 CPA (orkgp:P99002)
- approximate F1-score CTA (orkgp:P99004)
- approximate precision CTA (orkgp:P99007)
- group of workers (orkgp:P99012)
- ah-score CTA (orkgp:P99013)
- ap-score CTA (orkgp:P99014)
- proportion in the group of workers (orkgp:P99017)
- assumption (orkgp:P99018)
- part of (orkgp:PART_OF)
- precedes (orkgp:PRECEDES)
- Process (orkgp:PROCESS)
- produces (orkgp:PRODUCES)
- Benchmark (orkgp:PWC_HAS_BENCHMARK)
- result (orkgp:RESULT)
- starts before (orkgp:RO:RO_0002089)
- Related Figure (orkgp:RelatedFigure)
- Related Resource (orkgp:RelatedResource)
- Resource (orkgp:Resource)
- same as (orkgp:SAME_AS)
- alternateName (orkgp:SCHEMAORG:alternateName)
- assesses (orkgp:SCHEMAORG:assesses)
- comment (orkgp:SCHEMAORG:comment)
- creator (orkgp:SCHEMAORG:creator)
- description (orkgp:SCHEMAORG:description)
- disambiguatingDescription (orkgp:SCHEMAORG:disambiguatingDescription)
- encoding (orkgp:SCHEMAORG:encoding)
- exampleOfWork (orkgp:SCHEMAORG:exampleOfWork)
- genre (orkgp:SCHEMAORG:genre)
- inLanguage (orkgp:SCHEMAORG:inLanguage)
- isBasedOn (orkgp:SCHEMAORG:isBasedOn)
- license (orkgp:SCHEMAORG:license)
- name (orkgp:SCHEMAORG:name)
- relatedTo (orkgp:SCHEMAORG:relatedTo)
- sameAs (orkgp:SCHEMAORG:sameAs)
- size (orkgp:SCHEMAORG:size)
- sourceOrganization (orkgp:SCHEMAORG:sourceOrganization)
- steps (orkgp:SCHEMAORG:steps)
- url (orkgp:SCHEMAORG:url)
- usageInfo (orkgp:SCHEMAORG:usageInfo)
- version (orkgp:SCHEMAORG:version)
- video (orkgp:SCHEMAORG:video)
- stimulates (orkgp:STIMULATES)
- show property (orkgp:ShowProperty)
- Solution (orkgp:Solution)
- treats (orkgp:TREATS)
- Template Label Format (orkgp:TemplateLabelFormat)
- Template of predicate (orkgp:TemplateOfPredicate)
- Template of research field (orkgp:TemplateOfResearchField)
- Template of research problem (orkgp:TemplateOfResearchProblem)
- Tool (orkgp:Tool)
- uses (orkgp:USES)
- abbreviation (orkgp:abbreviation)
- alternativeName (orkgp:alternativeName)
- application (orkgp:application)
- citation (orkgp:citation)
- compare contribution (orkgp:compareContribution)
- contains (orkgp:contains)
- creates (orkgp:creates)
- description (orkgp:description)
- example of usage (orkgp:exampleOfUsage)
- extension (orkgp:extension)
- Google Scholar ID (orkgp:googleScholarID)
- authors (orkgp:hasAuthors)
- has benchmark (orkgp:hasBenchmark)
- has content (orkgp:hasContent)
- has dataset (orkgp:hasDataset)
- has list element (orkgp:hasListElement)
- has model (orkgp:hasModel)
- has previous version (orkgp:hasPreviousVersion)
- has property (orkgp:hasProperty)
- has published version (orkgp:hasPublishedVersion)
- has subject (orkgp:hasSubject)
- has synonym (orkgp:hasSynonym)
- Has visualization (orkgp:hasVisualization)
- icon (orkgp:icon)
- License (orkgp:license)
- LinkedIn ID (orkgp:linkedInID)
- mentions (orkgp:mentions)
- onHomepage (orkgp:onHomepage)
- order (orkgp:order)
- placeholder (orkgp:placeholder)
- reference (orkgp:reference)
- Release (orkgp:release)
- ResearchGate ID (orkgp:researchGateID)
- class (orkgp:sh:class)
- closed (orkgp:sh:closed)
- datatype (orkgp:sh:datatype)
- max count (orkgp:sh:maxCount)
- max inclusive (orkgp:sh:maxInclusive)
- min count (orkgp:sh:minCount)
- min inclusive (orkgp:sh:minInclusive)
- order (orkgp:sh:order)
- path (orkgp:sh:path)
- pattern (orkgp:sh:pattern)
- property (orkgp:sh:property)
- target class (orkgp:sh:targetClass)
- softwareType (orkgp:softwareType)
- specification (orkgp:specification)
- Sub Problem (orkgp:subProblem)
- sustainable development goal (orkgp:sustainableDevelopmentGoal)
- type (orkgp:type)
- unit (orkgp:unit)
- url (orkgp:url)
- uses (orkgp:uses)
- version (orkgp:version)
- Website (orkgp:website)
- video (orkgp:wikidata:P10)
- field of work (orkgp:wikidata:P101)
- including (orkgp:wikidata:P1012)
- criterion used (orkgp:wikidata:P1013)
- number of triples (orkgp:wikidata:P10209)
- is an individual of taxon (orkgp:wikidata:P10241)
- number of lanes (orkgp:wikidata:P10367)
- medical condition (orkgp:wikidata:P1050)
- ResearcherID (orkgp:wikidata:P1053)
- product or material produced (orkgp:wikidata:P1056)
- maintains linking to (orkgp:wikidata:P10568)
- occupation (orkgp:wikidata:P106)
- number of comments (orkgp:wikidata:P10651)
- number of references (orkgp:wikidata:P10676)
- number of reblogs (orkgp:wikidata:P10756)
- population (orkgp:wikidata:P1082)
- proportion (orkgp:wikidata:P1107)
- measured physical quantity (orkgp:wikidata:P111)
- quantity (orkgp:wikidata:P1114)
- number of participants (orkgp:wikidata:P1132)
- sampling rate (orkgp:wikidata:P11413)
- Scopus author ID (orkgp:wikidata:P1153)
- numeric value (orkgp:wikidata:P1181)
- publisher (orkgp:wikidata:P123)
- located in the administrative territorial entity (orkgp:wikidata:P131)
- source code repository URL (orkgp:wikidata:P1324)
- external data available at (orkgp:wikidata:P1325)
- described by source (orkgp:wikidata:P1343)
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