Results 161 to 170 of about 1,142,624 (314)
Advanced Science, EarlyView.This work presents a 2 × 2 integrated single‐chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal‐runaway characteristic gases. The array generates distinct temperature‐modulated response patterns for four characteristic gases (H2, CO, CH4, and CO2), while a HK‐MoE model is developed to achieve robust ...
Qin Luo +8 more
wiley +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
Advanced Science, EarlyView.MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source
Advanced Science, EarlyView.In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang +20 more
wiley +1 more source
Curvature‐Directed Elongation and Chiral Tilting Drive Asymmetric Tissue Patterning
Advanced Science, EarlyView.Curvature and cell handedness together break tissue symmetry. On convex and concave surfaces, cells elongate along opposite geometric axes and tilt in a consistent chirality‐driven direction, yielding opposite alignment patterns from the same cells. Reversing intrinsic cell chirality reverses both.
Liyao Xu +6 more
wiley +1 more source
Advanced Science, EarlyView.Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li +4 more
wiley +1 more source
A straightforward and valid correction to Nathoo et al.'s Bayesian within-subject credible interval
The APA encourages authors to thoroughly report their results, including confidence intervals. However, considerable debate exists regarding the computation of confidence intervals in within-subject designs.
Zitzmann, S., Lindner, C., Hecht, M.
core +1 more source
Drug Repurposing for Treating NCOR‐Related Intellectual Disability
Advanced Science, EarlyView.An autism‐associated NCOR1 heterozygous mutation upregulates NRGs and activates NRG backward signaling in hypothalamic GABAergic neurons in mouse models, leading to Gabra2 downregulation and cognitive deficits, which can be therapeutically targeted by repurposing FDA‐approved drugs.
Yan Kong +15 more
wiley +1 more source
Advanced Science, EarlyView.A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang +6 more
wiley +1 more source
Comparison of Bayesian Credible Intervals to Frequentist Confidence Intervals
Journal of Modern Applied Statistical Methods, 2015 Kathy Gray +4 more
openaire +2 more sources
Advanced Science, EarlyView.This study identifies GAP2, a bioactive polysaccharide fraction derived from Ganoderma applanatum, as a postbiotic inducer that repairs intestinal barrier damage in a gut microbiota‐dependent manner. GAP2 enriches Phocaeicola vulgatus, which degrades GAP2 and promotes tridecylic acid production, triggering Rho/CDC42 signaling and tight‐junction ...
Chuan Zhang +10 more
wiley +1 more source