Results 221 to 230 of about 13,470 (307)
Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates +15 more
wiley +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
Ramifications of generalized Feller theory. [PDF]
Cuchiero C, Möllmann T, Teichmann J.
europepmc +1 more source
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Stochastic analysis of compact stars under composite polytropes. [PDF]
Nouh MI +3 more
europepmc +1 more source
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source
Network structure induced bias in estimates of intrinsic generation times. [PDF]
Kollepara PK, Poletto C, Miller JC.
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Inferring accumulation times of mitochondrial DNA deletion mutants from cross-sectional single-cell data: methodological framework and validation. [PDF]
Kowald A, Kirkwood TBL.
europepmc +1 more source

