Results 201 to 210 of about 1,211 (280)

N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling

Ecography, EarlyView.
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde, Teresa Goicolea, Antoine Guisan, Florian Altermatt   +3 more
wiley   +1 more source

Recent Advances in Pickering Emulsion Templated Phase Change Material Microcapsules: Design, Fabrication, and Multifunctional Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Fabrication process of phase change microcapsules using a Pickering emulsion template method and their subsequent applications. The increasing demand for efficient thermal energy storage systems has driven the development of phase change material microcapsules (PCMMs), which provide high energy‐storage density, reversible phase change, and reduced ...
Ziyan Li, Jinsheng Sun, Kaihe Lv, Chaozheng Liu, Meichun Li   +4 more
wiley   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

Epilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges, Joana Isabel Soares, Daniela Dias, Helena Cordeiro, Alberto Leal   +4 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

Computer virus prevention and containment on mainframes [PDF]

G.M. Al-Dossary
core   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

Energy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang, Qiang Li, Jun Zhang, Chaohuang Xu   +3 more
wiley   +1 more source

Association of number of siblings with preclinical markers of cardiovascular disease. The cardiovascular risk in Young Finns study. [PDF]

Int J Cardiol Cardiovasc Risk Prev
Pihlman J, Magnussen CG, Laitinen TT, Ruohonen S, Pahkala K, Jokinen E, Laitinen TP, Hutri-Kähönen N, Tossavainen P, Taittonen L, Kähönen M, Viikari JS, Raitakari OT, Juonala M, Nuotio J.   +14 more
europepmc   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source