Results 121 to 130 of about 36,322 (258)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Efficacy of fenfluramine in a pediatric epilepsy patient with a pathogenic SV2A variant: A case report

Epileptic Disorders, EarlyView.
Abstract Pathogenic SV2A gene variants have been reported as causes of epilepsy and are often associated with drug resistance and susceptibility to fever‐related seizures. No highly effective treatments have been established for this condition. We report a female patient with a family history of epilepsy who developed generalized seizures associated ...
Takayuki Mori, Hiroshi Terashima, Yu kakimoto, Mitsuhiro Kato, Shumpei Uchino   +4 more
wiley   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +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

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

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Photodynamic Biomimetic Nanoparticles Accelerate Tumor Vascular Normalization Initiation

Exploration, EarlyView.
Platelet‐mimetic IA@PM integrates apatinib‐driven vascular normalization with ICG‐mediated photodynamic therapy, creating a self‐amplifying vascular normalization therapy (VNT)–photodynamic therapy (PDT) cycle that accelerates the onset of the vascular normalization window and potentiates antitumor treatment.
Yufei Liu, Changheng Xie, Yanfeng Huang, Ting Wang, Shi Du, Hui Xiong, Jing Yao   +6 more
wiley   +1 more source

Microbiome‐mediated plant‐soil feedbacks as a tool for resilient agriculture

iMetaOmics, EarlyView.
Translating plant‐soil feedbacks (PSFs) into reliable agricultural management requires shifting from input‐dependent practices toward endogenous, process‐driven crop resilience. To bridge this gap, we propose a predictive framework centered on three strategic interventions: engineering the crop holobiont, diversifying the soil habitat, and deploying ...
Muhammad Asif, Hazrat Bilal, Min Xiao, Lei Dong, Wen‐Jun Li   +4 more
wiley   +1 more source

Maternal and infant gut microbiome

iMeta, EarlyView.
The maternal–infant continuum involves critical windows of host–microbiota co‐adaptation. Preconception, maternal and paternal microbiomes modulate immunity and reproduction. During pregnancy, a gut–placenta axis emerges, where microbial metabolites influence fetal growth or contribute to complications like gestational diabetes mellitus (GDM ...
Huidi Wang, Felicia Tin, Hui Chen, Fuxin Jiao, Min Wu, Shanshan Sun, Lisha Lin, Die Li, Huimin Zheng, Zhenxin Niu, Mengyao Lan, Bahtiyar Yilmaz, Johan G. Eriksson, Mengjia Wang, Andrew Macpherson, Jose C. Clemente, Jia Xu, Ri‐hua Xie, Xiaojiao Zheng, Tao Zhou, Jinfeng Wang, Wei Shen, Bing Huang, Xia Chen, Hai Li, Yan He   +25 more
wiley   +1 more source

Inline Oxygenation in Drip‐Irrigated Citrus: How Much Agrochemical Reduction Is Needed to Achieve Net Environmental Benefits?

Irrigation and Drainage, EarlyView.
ABSTRACT The agronomic benefits of oxygen‐enriched irrigation, such as improved root development, enhanced nutrient uptake, and reduced fertiliser and pesticide requirements, are well documented. However, incorporating oxygenation devices into fertigation systems increases energy demand and material use, thereby incurring additional environmental ...
Alberto Imbernón‐Mulero, Saker Ben Abdallah, Mohamed Zied Dhraief, Jose F. Maestre‐Valero, Belén Gallego‐Elvira   +4 more
wiley   +1 more source