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Research Paper#Cell Biology, Tissue Mechanics, Mechanotransduction🔬 ResearchAnalyzed: Jan 3, 2026 09:26

Local Shear Suppresses Cell Motion in Stiff Epithelia

Published:Dec 30, 2025 22:13
1 min read
ArXiv

Analysis

This paper investigates the effects of localized shear stress on epithelial cell behavior, a crucial aspect of understanding tissue mechanics. The study's significance lies in its mesoscopic approach, bridging the gap between micro- and macro-scale analyses. The findings highlight how mechanical perturbations can propagate through tissues, influencing cell dynamics and potentially impacting tissue function. The use of a novel mesoscopic probe to apply local shear is a key methodological advancement.
Reference

“Localized shear propagated way beyond immediate neighbors and suppressed cellular migratory dynamics in stiffer layers.”

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Paper#Molecular Generation/AI in Chemistry🔬 ResearchAnalyzed: Jan 3, 2026 19:52

Energy-Guided Flow Matching for Molecular Conformer Generation

Published:Dec 27, 2025 14:00
1 min read
ArXiv

Analysis

This paper introduces EnFlow, a novel framework that combines flow matching with an energy model to efficiently generate low-energy conformer ensembles and identify ground-state conformations of molecules. The key innovation lies in the energy-guided sampling scheme, which leverages the learned energy function to steer the generation process towards lower-energy regions. This approach addresses the limitations of existing methods by improving conformational fidelity and enabling accurate ground-state identification, particularly in a few-step regime. The results on benchmark datasets demonstrate significant improvements over state-of-the-art methods.
Reference

“EnFlow simultaneously improves generation metrics with 1--2 ODE-steps and reduces ground-state prediction errors compared with state-of-the-art methods.”

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