Results 161 to 170 of about 102,807 (280)

Altered neurostructural development in magnetic resonance imaging‐negative pediatric epilepsy: A large‐scale multicenter study of 1919 children

Epilepsia, EarlyView.
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang, Minghao Li, Huijun Li, Wei Yu, Peilin Jiang, Xinyi Zhou, Ke Hu, Feng Yang, Jiu Chen, Ming Yang, Xiaoshan Wang   +10 more
wiley   +1 more source

Contextual classification of network traffic through rough set theory and convolutional neural networks. [PDF]

Sci Rep
Priyanka D, Sundara Krishna YK.
europepmc   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Curvature-Adoptive CNC Machining of Freeform Optics via Dynamic Tangential Toolpath Optimization. [PDF]

Materials (Basel)
Singh RP, Chen Y.
europepmc   +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

Foreign object detection on photovoltaic panels based on DHLNet. [PDF]

Sci Rep
Jin H, Li M, Lv X, Peng J.
europepmc   +1 more source

Biodegradable Coatings with Essential Oils for Combating Papaya Anthracnose: State of the Art and Perspectives

Food Bioengineering, EarlyView.
ABSTRACT Papaya (Carica papaya L.) production and marketability are strongly constrained by postharvest diseases, with anthracnose caused by Colletotrichum spp. representing the most significant threat. Traditional control relies on synthetic fungicides, which, although effective, face challenges such as the development of pathogen resistance ...
Raul Coimbra Miranda, Zandia Maria de Souza Nascimento, Beni Jequicene Mussengue Chaúque, Hellen Kempfer Philippsen, Lúcia de Fátima Henriques Lourenço, Consuelo Lúcia Sousa de Lima   +5 more
wiley   +1 more source

Simulation of Steam's Wet Phase-Transition Agglomeration Technology and Optimization of Steam Heterogeneous Nucleation Models for Coal-Fired Power Generation. [PDF]

ACS Omega
Zheng J, Zhao T, Xiao Z.
europepmc   +1 more source

Nutritional Potential, Phytochemical Content, In Vivo Antioxidant, and Antanemic Potential of Musa paradisiaca Flower

Food Chemistry International, EarlyView.
After collecting Musa paradisiaca leaves, some were dried and others were used to produce aqueous extracts. The extracts and powders were characterized and then administered to rats made anaemic by PHZ. After 14 days of administration of the two samples, the rats were euthanized and it was observed that after 9 days of treatment, the aqueous extract ...
Josée Rebeca Nombo, Jethro Roland Misse Ngangue Ekwala, Somon Régine Tuem, Stéphano Tene Tambo, Merlin Ngafon Nchoutpouen, Valery Jean François Nsoga, Jules Christophe Koule Manz, Jordan Mekui Nwotue, Mathieu Ndomou   +8 more
wiley   +1 more source

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

International Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari, Ricardo de Souza, Admilson T. Franco   +2 more
wiley   +1 more source