Results 161 to 170 of about 150,728 (293)

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

open access: yesAdvanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song   +6 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

open access: yesAdvanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed   +15 more
wiley   +1 more source

The role of KDM5B in creating synthetic vulnerabilities in combination with radiotherapy in melanoma cells. [PDF]

open access: yesCell Commun Signal
Larafa S   +14 more
europepmc   +1 more source

Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering

open access: yesAdvanced Intelligent Systems, EarlyView.
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu   +4 more
wiley   +1 more source

A High‐Voltage Membrane‐Free Li–Organic Hybrid Flow Battery Using Eutectic Lithium Chemistry

open access: yesAngewandte Chemie, EarlyView.
A high‐voltage (3.6 V) membrane‐free Li–organic hybrid flow battery is enabled by a deep‐eutectic lithium electrolyte composed of trifluoroacetamide (TFAD) and LiPF6, paired with a dichloromethane (DCM) catholyte containing phenothiazine (PTZ). The TFAD/LiPF6 eutectic provides fast Li+ transport and stable Li‐metal cycling, while the immiscible TFAD ...
Xiao Wang   +7 more
wiley   +2 more sources

Prevalence of traditional Chinese medicine body constitutions in a large community-based study in Hangzhou, China. [PDF]

open access: yesChin Med
Wu YH   +11 more
europepmc   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen   +2 more
wiley   +1 more source

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