Results 81 to 90 of about 3,140 (255)
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
Voltage control is problematic in an islanded microgrid, as small and mismatched feeder impedances lead to inaccurate reactive power sharing among grid-forming inverters and potential instability under conventional droop control.
Ali Echresh +2 more
doaj +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +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
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
In weak grid, a multi-inverter grid-connected system may be simultaneously affected by large grid impedance and background harmonics. The interaction between inverter and grid is enhanced by the large grid impedance, resulting in resonance problems ...
ZHANG Shicong +4 more
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
DC microgrids have the risk of wideband DC bus voltage ripples. The ripple frequency may vary with system operating conditions, increasing the difficulty in voltage ripple suppression.
Yan Wu, Wei Wang, Fen Tang, Xuezhi Wu
doaj +1 more source
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn +11 more
wiley +1 more source

