Results 121 to 130 of about 1,067 (168)

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

<i>Camphora officinarum</i> (Syn. <i>Cinnamomum camphora</i>): Botany, Phytochemistry, Biological Activities, Agro-Industrial Applications, and Biotechnology. [PDF]

Plants (Basel)
Shah K, Dai W, Shen Q, Zhang Y, Guo J, Qiao J, Hu J, Huang L, Yan D, Wang Y, Zuo J, Li Y, Yuan H, Zheng B.   +13 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Prevalence of, and Factors Associated With, Symptoms of Anxiety and Depression in Young Adults With a Symptomatic Knee After ACL Reconstruction: Results from the SUPER-Knee study. [PDF]

Orthop J Sports Med
Grover HJA, Bruder AM, West TJ, Crossley KM, Girdwood MA, Couch JL, Barton CJ, Roos EM, Culvenor AG.   +8 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

MPFL reconstruction vs. Insall procedure for adolescent patellar instability: nine-year follow-up on osteoarthritis, redislocations, and return to sports. [PDF]

BMC Musculoskelet Disord
Jääskelä M, Perhomaa M, Lempainen L, Sinikumpu J.   +3 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Comparative Evaluation of Field of View Across Widefield Retinal Imaging Systems. [PDF]

Transl Vis Sci Technol
Ni S, Ng R, Bayhaqi Y, Sutter D, Ostmo S, Huang D, Young BK, Campbell JP, Jian Y.   +8 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Weaker neuroligin 2-neurexin β1 interaction tethers membranes and recruits gephyrin at membrane junctions through clustering. [PDF]

Sci Adv
Boyd R, Jaqaman K, Wang W.
europepmc   +1 more source