Results 121 to 130 of about 3,257,416 (300)
Signal Separation Based on Knowledge Representation
The separation of mixed signals typically requires appropriate prior assumptions, while traditional signal separation methods struggle to describe the differences in separation targets with significant features.
Cai Lu, Xuyang Zou, Jingjing Zong
doaj +1 more source
Erratum: Knowledge Representation for Multi-Scale Physiology Route Modeling. [PDF]
Frontiers Production Office.
europepmc +1 more source
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation [PDF]
Yu Li +6 more
openalex +1 more source
Redox regulation meets metabolism: targeting PRDX2 to prevent hepatocellular carcinoma
PRDX2 acts as a central redox hub linking metabolic dysfunction‐associated steatohepatitis (MASH) to hepatocellular carcinoma (HCC). In normal hepatocytes, PRDX2 maintains redox balance and metabolic homeostasis under oxidative stress. In contrast, during malignant transformation, PRDX2 promotes oncogenic signaling, stemness, and tumor initiation ...
Naroa Goikoetxea‐Usandizaga +2 more
wiley +1 more source
. In this article, we continue the study and definition of a class of ontologies known as “epistemic” by laying the foundations for a foundational epistemic ontology called EFO (for Epistemic Foundational Ontology).
Gilles Kassel
doaj
Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective. [PDF]
Brochhausen M +8 more
europepmc +1 more source
Query Generation as Result Aggregation for Knowledge Representation [PDF]
Matthew Mitsui, Chirag Shah
openalex +1 more source
Targeting p38α in cancer: challenges, opportunities, and emerging strategies
p38α normally regulates cellular stress responses and homeostasis and suppresses malignant transformation. In cancer, however, p38α is co‐opted to drive context‐dependent proliferation and dissemination. p38α also supports key functions in cells of the tumor microenvironment, including fibroblasts, myeloid cells, and T lymphocytes.
Angel R. Nebreda
wiley +1 more source
Foundations Matter: The Role of Top-Level Ontologies in Knowledge Representation
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Fernanda Farinelli
doaj
Multipath Cross Graph Convolution for Knowledge Representation Learning. [PDF]
Tian L, Yang B, Yin X, Kang K, Wu J.
europepmc +1 more source

