Results 151 to 160 of about 2,341,542 (226)

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

Spatio-temporal field, landscape and meteorological datasets describing bruchid beetle populations, grain damage and parasitism in faba bean and lentil fields in France. [PDF]

Data Brief
Herrera C, Bedoussac L, Chery-Lagrange A, Chapelin-Viscardi JD, Tricault Y, Gardarin A.   +5 more
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

A Comprehensive Review of SLR Systems: Challenges, Datasets, and Unresolved Gaps. [PDF]

J Imaging
Yerimbetova A, Berzhanova U, Milosz M, Sakenov B, Daiyrbayeva E, Cherikbayeva L.   +5 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

Spatio-temporal trends of the prevalence of Plasmodium falciparum antimalarial drug resistance markers across sub-Saharan Africa from 2010 to 2024: a systematic review and meta-analysis. [PDF]

BMC Infect Dis
Towanou Bohissou FE, Wilfried Nassa GJ, Inoue J, Sondo P, Rouamba T, Yessinou J, Held J, Tinto H.   +7 more
europepmc   +1 more source

Unraveling the Evolution of Silicic Volcanism in a Distributed Volcanic Field: Insights From Harrat Khaybar, Western Saudi Arabia

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 10, October 2026.
Abstract Distributed basaltic volcanic fields commonly host minor but significant silicic magmas, the origin of which remains debated. At Harrat Khaybar (western Saudi Arabia; ca. 1.7 Ma to present), volcanic activity erupted compositions range from alkali olivine basalt to trachyte and comendite.
Abdullah Alohali, Shanaka de Silva, Charles Lewis, Suhail S. Alhejji, Shane J. Cronin, Chris J. Russo   +5 more
wiley   +1 more source

CNN-GRU-KAN: A Novel Multi-Branch Framework for Parkinson's Disease Detection Based on Gait Classification. [PDF]

Bioengineering (Basel)
Fu X, Jiang M, Al-Qaness MAA.
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

Un système d’information géographique pour le suivi d’objets historiques urbains à travers l’espace et le temps

L'Atelier du CRH, 2015
Bertrand Dumenieu
doaj   +1 more source