Results 161 to 170 of about 513,384 (266)
Advancing paramedical education through virtual learning platforms: A quantitative study at AJA University of Medical Sciences. [PDF]
Najafi Shahvalad Sofla P +4 more
europepmc +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
Exploring the psychological factors influencing intention to use AI virtual companions: an SEM-ANN study. [PDF]
Sun Y, Liu J, Liu T, Wei Z, Shen H.
europepmc +1 more source
This study identifies ARID3A as a key immunosuppressive transcription factor in TNBC. Its inhibition activates the type I IFN pathway, boosting CD8+ T cell infiltration and sensitizing tumors to anti‐PD‐1. The FDA‐approved migraine drug Rimegepant targets ARID3A, enhances immunotherapy efficacy in preclinical models, and establishes a druggable axis to
Teng Zhou +12 more
wiley +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Virtual Care Remuneration Policy and Postdischarge Follow-Up Trends.
D'Arienzo D +4 more
europepmc +1 more source
What Characterizes Adopters of Virtual Fence in Semi-arid Sagebrush Steppe in the western U.S.? [PDF]
Harris TJ +3 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Discussion themes and emotional expressions on Chinese social media regarding AI virtual companions: a topic modeling and sentiment analysis study. [PDF]
Sun Y, Liu J, Liu T, Wei Z, Shen H.
europepmc +1 more source

