Results 111 to 120 of about 6,753,811 (352)
Knowledge‐based representation: Patient engagement in drug development
Introduction Recently, different actors have intensified their efforts to make drug development more participatory. They have produced many frameworks, tools and dedicated fora, where patients are portrayed as relevant stakeholders to be involved ...
Claudia Egher, Olga Zvonareva
doaj +1 more source
CONTEXT ONTOLOGY IN MOBILE APPLICATIONS
Mobile applications are expected to receive context input Mobile applications are expected to receive context in put such as location, speech, and network from different context providers.
Farhanah Atiqah Norki+2 more
doaj +1 more source
Knowledge representation and general Petri net models for power grid fault diagnosis
This study deals with the idea that comprehensive knowledge representation should be established for fault diagnosis. Sufficient grid fault information including the network topology and protection knowledge are used with a diagnostic algorithm.
Lei Wang+6 more
semanticscholar +1 more source
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source
Logic programming and knowledge representation
AbstractIn this paper, we review recent work aimed at the application of declarative logic programming to knowledge representation in artificial intelligence. We consider extensions of the language of definite logic programs by classical (strong) negation, disjunction, and some modal operators and show how each of the added features extends the ...
Chitta Baral, Michael Gelfond
openaire +2 more sources
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang+3 more
wiley +1 more source
KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning [PDF]
Autoregressive large language models (LLMs) pre-trained by next token prediction are inherently proficient in generative tasks. However, their performance on knowledge-driven tasks such as factual knowledge querying remains unsatisfactory. Knowledge graphs (KGs), as high-quality structured knowledge bases, can provide reliable knowledge for LLMs ...
arxiv
Framed PAINTING: The Representation of a Common Sense Knowledge Fragment [PDF]
Eugene Charniak
openalex +1 more source
Evolution of Knowledge Representation and Retrieval Techniques
Existing knowledge systems incorporate knowledge retrieval techniques that represent knowledge as rules, facts or a hierarchical classification of objects. Knowledge representation techniques govern validity and precision of knowledge retrieved. There is
M. Malhotra, G. Nair
semanticscholar +1 more source
KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells
We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock+10 more
wiley +1 more source