Results 221 to 230 of about 5,859,176 (265)
Sarbecovirus ORF9b recruits host phosphatase PPM1A to suppress innate immunity through dual mechanisms. PPM1A directly dephosphorylates ORF9b to sustain its activity and indirectly downregulates STAT2 phosphorylation to impair interferon signaling. Pharmacological inhibition of PPM1A restores antiviral responses and limits sarbecovirus replication ...
Lixiang Xie +24 more
wiley +1 more source
Thyroid Dysfunction and Cognitive Impairment: Neural Mechanisms and Neurofeedback-Based Interventions. [PDF]
Ma Z, Liu Y, Chen M, Wang M, Liu T.
europepmc +1 more source
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar +9 more
wiley +1 more source
In-silico investigation into optimal photoacoustic probe design using a digital thyroid phantom. [PDF]
Rietberg MT +3 more
europepmc +1 more source
Early‐life manganese exposure induces behavioral deficits and aberrant hippocampal synaptic remodeling by enhancing microglial phagocytosis in young adult male mice. Mechanistically, manganese promotes Yin Yang 1 (YY1)/triggering receptor expressed on myeloid cells 2 (TREM2) signaling through enhanced HIF1α‐mediated transcription and suppressed SMURF2 ...
Keyu Chen +4 more
wiley +1 more source
Randomized Feasibility Trial of Routine Versus Selective Transesophageal Echocardiography During Isolated Coronary Artery Bypass Grafting. [PDF]
MacKay EJ +10 more
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Physical activity participation in people with severe mental illness: The real challenge. [PDF]
Sáez de Asteasu ML +2 more
europepmc +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source

