Results 281 to 290 of about 846,338 (367)

An Elastocaloric Polymer with Ultra‐High Solid‐State Cooling via Defect Engineering

open access: yesAdvanced Science, EarlyView.
This work reports a defect‐engineering strategy that enables a record‐high adiabatic temperature change of up to 8.14 ± 1.76 °C in elastomers at an elevated temperature above 65 °C. Combined experimental and theoretical efforts reveal that increasing dangling‐chain defects nonmonotonically impacts the elastocaloric cooling performance of polymers due ...
Zhaohan Yu   +11 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

open access: yesAdvanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao   +14 more
wiley   +1 more source

Quantifying the compressibility of the human brain. [PDF]

open access: yesProc Natl Acad Sci U S A
Weaver NJ   +3 more
europepmc   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

open access: yesAdvanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

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