Results 231 to 240 of about 1,189,057 (413)

What Logic and Grammar Bring to the Issue of Solvability? Meditation in this Journal’s 40th Anniversary

Studies in Logic, Grammar and Rhetoric, 2020
Marciszewski Witold
doaj   +1 more source

The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization. [PDF]

J Vet Intern Med
Mullen KR, Tammen I, Matentzoglu NA, Mather M, Balhoff JP, Esdaile E, Leroy G, Park CA, Rando HM, Saklou NT, Webb TL, Vasilevsky NA, Mungall CJ, Haendel MA, Nicholas FW, Toro S.   +15 more
europepmc   +1 more source

Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging‐Related Pathways

Advanced Science, EarlyView.
This study reveals histone lactylation as a metabolic‐epigenetic regulator countering cellular senescence and skeletal muscle aging. Reduced lactylation impairs cell cycle, DNA repair and proteostasis pathways, while exercise restores glycolytic activity and lactylation levels, preserving muscle function.
Fanju Meng, Jianuo He, Xuebin Zhang, Wencong Lyu, Ran Wei, Shiyi Wang, Zhehao Du, Haochen Wang, Jinlong Bi, Xueyang Hua, Chao Zhang, Yiting Guan, Guoliang Lyu, Xiao‐Li Tian, Lijun Zhang, Wenbing Xie, Wei Tao   +16 more
wiley   +1 more source

Unveiling differential adverse event profiles in vaccines via LLM text embeddings and ontology semantic analysis. [PDF]

J Biomed Semantics
Wang Z, Li X, Zheng J, He Y.
europepmc   +1 more source

Set Theory and Lesniewski's Ontology

, 1985
Masanao Ozawa, Toshiharu Waragai
openalex   +2 more sources

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Construction and application of SARS-CoV-2 protein ontology (CoVPO). [PDF]

PLoS One
Nkhata A, Shi X, Zhang Y, Chen H.
europepmc   +1 more source

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

Advanced 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, Justin Torok, Shujing Zhang, Jessica Ding, Ning Wang, Courtney Lau, Shruti Kulkarni, Chaitali Anand, Julie Tran, Michael Cheng, Claire Lo, Binbin Lu, Yanzi Sun, Robert Damoiseaux, Xia Yang, Ashish Raj, Chao Peng   +16 more
wiley   +1 more source

An integrated data pipeline for semantic data representation of the flame spray pyrolysis process. [PDF]

F1000Res
Vollbrecht M, Krieger K, Grundmann J, Birkholz H, Riefler N, Mädler L.   +5 more
europepmc   +1 more source

Ontology [PDF]

, 1998
Davis, John B.
core   +1 more source