Results 141 to 150 of about 5,903,431 (213)

Exploring Digital Vā: A Scoping Review of Conceptualisations of Vā in Digital Spaces

Journal of the Royal Society of New Zealand, Volume 56, Issue 5, October 2026.
The well‐being of young people globally is a key concern for many. In Aotearoa New Zealand, Pacific people are the youngest ethnic population, and Pacific youth experience complex well‐being challenges related to socio‐economic inequality and diverse identities.
Jean M. Uasike Allen, Joanna Ting Wai Chu, Latesha Latu, Analosa Veukiso‐Ulugia, Carine Umutoniwase, David Taufui Mikato Fa’avae, Jacoba Matapo, Lawrence May, Kate Jack   +8 more
wiley   +1 more source

A colour image encryption method based on a coupled map lattice-elementary cellular automaton neurodynamic chaotic system and dynamic dual-affine substitution-box architecture. [PDF]

R Soc Open Sci
Xie X, Yang S, Ning H, Zhou Y, Zhang K.
europepmc   +1 more source

A Machine Learning‐Based Model of Three‐Dimensional Ion Fluxes in the High‐Altitude Earth's Northern Cusp

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Magnetic reconnection at the dayside magnetopause is the primary pathway for transferring mass, momentum, and energy from the solar wind into the terrestrial magnetosphere. Previous studies have shown that the spatiotemporal dynamics of dayside magnetic reconnection can be inferred remotely from properties of Earth's cusps, specifically their ...
Gonzalo Cucho‐Padin, David Sibeck, Xueyi Wang, Daniel da Silva, Xiaolei Li, Gowtan Valluri, Cristian Ferradas, Hyunju Connor, Yu Lin   +8 more
wiley   +1 more source

Climate-Aware Self-Retrospective Representation Learning for Spatio-Temporal Epidemic Forecasting. [PDF]

Trop Med Infect Dis
Yuan Q, Shu H, Pan Y, Li T, Shen H, Jiang W, Zhu Z, Zhang P, Xi N, Xin J, Li K, Sun G.   +11 more
europepmc   +1 more source

Sustainable Management of Global Platinum Group Resources in the Energy Transition: A Group Metabolism Perspective

Earth's Future, Volume 14, Issue 10, October 2026.
Abstract As the transition toward carbon neutrality accelerates, platinum group metals (PGMs) have emerged as indispensable resources for the low‐carbon transformation. However, the supply of this PGM supply chain is very concentrated, with 99% of primary production coming from South Africa and Russia. This study employs dynamic material flow analysis (
Wang Gu, Jinze Li, Yue Xu, Peixue Xing, Ziyan Gao, Yong Geng   +5 more
wiley   +1 more source

Research on road traffic condition prediction of smart city based on spatio-temporal multi-source information fusion. [PDF]

Sci Rep
Zheng C, Tang Q, Li Y.
europepmc   +1 more source

Benchmarking Auto‐Regressive Spatio‐Temporal Predictions of Wildfire Spread From the FireBench Simulation Data Set With a Machine Learning Competition

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract As wildfire severity increases, predicting wildfire spread is important for fire and landscape management. However, wildfire spread is a complex phenomenon that is challenging to capture because it depends on many factors, such as wind speed, slope, landscape topography, and fuel properties. Machine Learning (ML) models are powerful tools that
J. Z. Ho, A. Bazgir, A. Asaithambi, J. Hossain, R. Pawłowski, Z. Li, T. Dubail, Q. Wang, C. Gazen, B. Akoush, W. T. Chung, W. Reade, M. Ihme   +12 more
wiley   +1 more source

EEGDecoder-x: an explainable deep learning framework for cross-subject EEG-based detection of Alzheimer's and Creutzfeldt-Jakob disease. [PDF]

Front Neurol
Suffian M, Mammone N, Ieracitano C, Tripodi GG, Pascarella A, Ferlazzo E, Morabito FC.   +6 more
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal. [PDF]

PLOS Glob Public Health
Gadiaga AN, Tine MW, Diene AN, Linard C, Speybroeck N, Yankey O, Chaudhuri S, Nnanatu CC, Cleary E, Lai S, Lazar AN, Tatem AJ.   +11 more
europepmc   +1 more source