Results 151 to 160 of about 1,174,184 (329)

DNA‐PKcs‐Driven YAP1 Phosphorylation and Nuclear Translocation: a Key Regulator of Ferroptosis in Hyperglycemia‐Induced Cardiac Dysfunction in Type 1 Diabetes

open access: yesAdvanced Science, EarlyView.
In the context of chronic hyperglycemia, a DDR is initiated, leading to the pathological activation of DNA‐PKcs in the diabetic heart. This activated DNA‐PKcs directly interacts with and phosphorylates YAP1 at Thr226, thereby increasing the nuclear expression of YAP1.
Junyan Wang   +10 more
wiley   +1 more source

A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction [PDF]

open access: yesarXiv
Recently, ontology embeddings representing entities in a low-dimensional space have been proposed for ontology completion. However, the ontology embeddings for concept subsumption prediction do not address the difficulties of similar and isolated entities and fail to extract the global information of annotation axioms from an ontology.
arxiv  

Results of the ontology alignment evaluation initiative 2017 [PDF]

open access: yes, 2016
Ontology matching consists of finding correspondences between semantically related entities of different ontologies. The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases.
Achichi, M.   +27 more
core   +8 more sources

Key Connectomes and Synaptic‐Compartment‐Specific Risk Genes Drive Pathological α‐Synuclein Spreading

open access: yesAdvanced Science, EarlyView.
Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li   +16 more
wiley   +1 more source

An API for multilingual ontology matching [PDF]

open access: yes, 2010
Ontology matching consists of generating a set of correspondences between the entities of two ontologies. This process is seen as a solution to data heterogeneity in ontology-based applications, enabling the interoperability between them. However, existing matching systems are designed by assuming that the entities of both source and target ontologies ...
Trojahn dos Santos, Cassia   +2 more
openaire   +2 more sources

KDM6A Deficiency Induces Myeloid Bias and Promotes CMML‐Like Disease Through JAK/STAT3 Activation by Repressing SOCS3

open access: yesAdvanced Science, EarlyView.
Lysine demethylase 6A (KDM6A), an epigenetic regulator expressed in hematopoietic stem and progenitor cells (HSPCs), plays a critical role in hematopoietic homeostasis. Deficiency of KDM6A induces myeloid lineage skewing and drives the development of a chronic myelomonocytic leukemia (CMML)‐like disease.
Huiqiao Chen   +11 more
wiley   +1 more source

A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS [PDF]

open access: yes
In this paper we propose a model of ontology for the human resource domain. We emphasize the benefits resulting from the application of Semantic Web technologies in the recruitment process.
George MANIU, Ionela MANIU
core  

LincNEAT1 Encoded‐NEAT1‐31 Promotes Phagocytosis by Directly Activating the Aurora‐A–PI3K–AKT Pathway

open access: yesAdvanced Science, EarlyView.
LincNEAT1 Encoded‐NEAT1‐31 micropeptide directly binds with Aurora‐A and enhanced AKT pathways to pormotes phagocytosis against multi cancer cells. Abstract Macrophages play vital roles in innate and adaptive immunity, and their essential functions are mediated by phagocytosis and antigen presentation.
Jie Li   +8 more
wiley   +1 more source

GraphMatcher: A Graph Representation Learning Approach for Ontology Matching [PDF]

open access: yesThe 17th International Workshop on Ontology Matching, The 21st International Semantic Web Conference (ISWC) 2022, 23 October 2022, Hangzhou, China
Ontology matching is defined as finding a relationship or correspondence between two or more entities in two or more ontologies. To solve the interoperability problem of the domain ontologies, semantically similar entities in these ontologies must be found and aligned before merging them.
arxiv  

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