Results 211 to 220 of about 3,001,389 (308)
βFaar selectively targets and inhibits the GTPase activity of the RAB18 protein, thereby reducing LD volume. Conversely, βFaar promotes nuclear translocation of the transcription factor IRF4 in inguinal white adipose tissue (iWAT), facilitating the browning of white adipose tissue and attenuating body fat accumulation.
Yue Yang+13 more
wiley +1 more source
A cost-effective modular laboratory solution for industrial automation and applied engineering education. [PDF]
Al-Yaman M+3 more
europepmc +1 more source
Metabolic Programming Drives Protective and Inflammatory Monocyte Fates in Viral Encephalitis
Bone marrow monocytes infiltrate the West Nile virus‐infected brain and differentiate into HIF1‐α⁺ monocyte‐derived cells (MCs) that diverge into protective, antigen‐presenting or inflammatory, iNOS⁺ MCs with distinct metabolic programs and functions.
Claire L. Wishart+4 more
wiley +1 more source
Modeling and analyzing V2V communication limitations impacts on connected and automated vehicle platoons. [PDF]
Dai Y, Hu L, Liu Y, Yang A.
europepmc +1 more source
Here, it is revealed that ovarian cancer cells release extracellular vesicles enriched with eIF4E, which alters protein production in macrophages. This leads to increased expression of 3‐hydroxy‐3‐methyl‐glutaryl‐coenzyme A reductase (HMGCR), boosting cholesterol synthesis and activating an immunosuppressive pathway through X‐box binding protein 1 and ...
Sonam Mittal+15 more
wiley +1 more source
Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping. [PDF]
Rajesh M+3 more
europepmc +1 more source
A Network‐Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia
A network‐based precision medicine platform, named NetAML is offered for personalized treatment of AML. It combines network analysis and machine learning to develop 87 models predicting drug sensitivity for clinical drugs. NetAML identifies interpretable gene signatures that drive differential drug responses, enabling the prediction of individual ...
Yinyin Wang+7 more
wiley +1 more source
Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. [PDF]
Xu K+8 more
europepmc +1 more source