Results 181 to 190 of about 938,472 (209)
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
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
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander +2 more
wiley +1 more source
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li +3 more
wiley +1 more source
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung +5 more
wiley +1 more source
Portability Profiling Attacks Based on ACGAN_SDM
ACGAN_SDM improves the portability of deep‐learning‐based side‐channel attacks through profiling‐data augmentation. An auxiliary classifier generative adversarial network learns from a single source device and generates labeled synthetic leakage traces for classifier training.
Yuling Luo +6 more
wiley +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
Abstract In the digital era, adolescent development is deeply embedded in the cyber environment. Despite ongoing debate on the benefits and/or risks that Internet use brings to adolescents in empirical studies, conceptual and theoretical discussion on the influences of the intensity and modalities of Internet use is peripheral.
Linxiao Zhang +3 more
wiley +1 more source
Abstract Latine communities face significant health and mental health inequities, which were exacerbated by the coronavirus disease 2019 (COVID‐19) pandemic. Structural barriers, including economic factors and a lack of culturally responsive care, prevent these populations from accessing necessary treatment. This study evaluates the implementation of a
Jasmín D. Llamas +6 more
wiley +1 more source
Understandings and Misunderstandings of Multidimensional Poverty Measurement [PDF]
Poverty measurement, Multidimensional poverty, Deprivation, FGT measures, Decomposability, Joint distribution, Axiom, I3, I32, D63, O1,
Sabina Alkire, James Foster
exaly +2 more sources

