Results 91 to 100 of about 5,619,131 (294)
Data Driven Ontology Evaluation [PDF]
The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology.
Wilks, Yorick +3 more
core +1 more source
Self‐healing assembly of two cell‐laden hydrogel layers creates a biomimetic skin construct that restores both dermal and epidermal functions, resulting in accelerated wound healing and enhanced hair follicle regeneration in a full‐thickness skin wound model. ABSTRACT Alopecia remains a pervasive clinical challenge, largely owing to the limited ability
JaeWook Park +5 more
wiley +1 more source
Using ontologies for the federated simulation of critical infrastructures
AbstractThis paper presents a Knowledge Base System (KBS) as a key component of a federated simulation framework aimed at investigating the dependencies among Critical Infrastructures (CIs). The KBS, based on the ontological formalism, represents the properties and the relations of each simulation domain and the dependency relations among different ...
Alberto Tofani +6 more
openaire +2 more sources
A self‐powered PCL/gelatin‐PVDF‐TrFE/MXene conjugated electrospun membrane integrates biocompatibility with enhanced piezoelectric responsiveness. Mechanical deformation is converted into localized electrical signals that stimulate wound‐repair cells proliferation and migration, promote angiogenesis and tissue remodeling, and accelerate full‐thickness ...
Diandian Li +11 more
wiley +1 more source
Resumo O participante da polis, no sentido grego, era aquele que deliberava sobre a vida coletiva. À condição de manifestado desinteresse pelo Estado, os gregos denominavam Ïδιoς (idiótes), de onde deriva o termo “idiota”. É na tensão entre gnosiologia e
Hamilton Viana Chaves +3 more
doaj +1 more source
Matching biomedical ontologies through compact differential evolution algorithm
Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Ontology Change Management in Protégé
Ontology schemas tend to change and evolve over time to meet new requirements. This change may invalidate dependent applications if there is no dynamic adaptation to the changes made to underlying ontologies.
Liang, Yaozhong +2 more
core +1 more source
Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy
MnO2‐armored, bacteria‐trained dendritic cells undergo tumor‐responsive mechanical and immunological transformation. The nanocoating masks immune ligands and maintains a mechanically stiff, quiescent state during circulation, while the tumor microenvironment removes the armor and restores cellular deformability and immune accessibility.
Zhao Guo +9 more
wiley +1 more source

