Results 121 to 130 of about 6,914,944 (265)

Inter‐Verified Binary Classification Models: Unveiling Key Polymer Features Against Staphylococcus aureus

Carbon Innovation, EarlyView.
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh, Cyrille Boyer, Priyank Kumar   +2 more
wiley   +1 more source

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation. [PDF]

JMIR Form Res, 2020
Shao R, He H, Chen Z, Liu H, Liu D.
europepmc   +1 more source

Pre‐industrial land‐use limits contemporary shrub encroachment in the French Alps

Ecography, EarlyView.
Shrub encroachment has become a global phenomenon in recent decades. While global warming in the Arctic is often cited as the primary cause, human‐managed mountain regions have experienced intense historical land‐use that may also play a considerable role.
Baptiste Nicoud, Florian Carrière, Arthur Bayle, Christian Devlieger, Philippe Choler, Christophe Corona, Sandra Lavorel   +6 more
wiley   +1 more source

Epilepsy in emerging adulthood: Clinical, psychosocial, and surgical challenges

Epilepsia, EarlyView.
Abstract Objective Emerging adulthood (EAs; ages 19–29 years) is a unique developmental stage marked by major psychological, social, and occupational transitions. We sought to characterize the clinical, psychosocial, and surgical features of epilepsy in emerging adulthood, considering both current age and age at epilepsy onset.
Graham A. McLeod, Colin B. Josephson, Samuel Wiebe, The Calgary Comprehensive Epilepsy Program Collaborators, Felippe Borlot, Guillermo Delgado‐García, Paolo Federico, Nathalie Jette, Karl Martin Klein, William Murphy, Neelan Pillay, Andrea Salmon, Shaily Singh, The Epilepsy Surgery Satisfaction Questionnaire Study Group, Mark J. Atkinson, Walter J. Hader, Mark R. Keezer, Oluwaseyi A. Lawal, Sophia Macrodimitris, Kristina Malmgren, Dang K. Nguyen, Scott B. Patten, Tolulope T. Sajobi, Ruby Sharma, Yves Starreveld, José Tellez‐Zenteno, Sandra Wahby   +26 more
wiley   +1 more source

Glymphatic dysfunction couples with cortical excitation–inhibition imbalance in epilepsy: Evidence from Rasmussen encephalitis

Epilepsia, EarlyView.
Cong Fu et al. demonstrate that glymphatic system dysfunction is linked to enhanced inhibitory cortical activity using diffusion MRI and EEG. These findings highlight a mechanistic link between perivascular fluid dynamics and neuronal activity, suggesting a role for glymphatic function in maintaining cortical stability in epilepsy.
Cong Fu, Yujiao Yang, Pan Gong, Kun Lv, Yilin Liu, Chongyang Tang, Xiongfei Wang, Lixin Cai, Qingzhu Liu, Yuwu Jiang, Taoyun Ji, Guoming Luan   +11 more
wiley   +1 more source

Stereo‐EEG mapping of visual working memory with task‐related high‐gamma modulations

Epilepsia, EarlyView.
Abstract Objective We describe a safe, informative, and easy‐to‐implement approach for presurgical mapping of visual working memory (VWM) with stereo‐electroencephalography (SEEG). Methods Twenty‐four patients with drug‐resistant epilepsy, 11–23 years of age, performed a single‐probe change detection VWM task, during SEEG monitoring.
Brian Ervin, Jason Buroker, Taylor Cummins, Anna W. Byars, Craig Scholle, Leonid Rozhkov, Paul S. Horn, Jeffrey R. Tenney, Hansel M. Greiner, James L. Leach, Jesse Skoch, Francesco T. Mangano, Katherine D. Holland, Ravindra Arya   +13 more
wiley   +1 more source

Adaptive Scaling Filter Pruning Method for Vision Networks With Embedded Devices

IEEE Access
Owing to improvements in computing power, deep learning technology using convolutional neural networks (CNNs) has recently been used in various fields.
Hyunjun Ko, Jin-Ku Kang, Yongwoo Kim
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source