Results 151 to 160 of about 19,486 (229)

Escalating Hydroclimatic Extremes and Volatility in the UK Under 2°C and 4°C Warming

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Hydrological extremes, including both floods and droughts, are projected to intensify under global warming, yet their joint evolution and variability across temperate catchments remain underexplored. This study uses bias‐corrected regional climate projections from the UK Climate Projections 2018 (UKCP18) and a distributed HBV‐TYN hydrological ...
Y. He, D. Manful, N. Forstenhäusler, Y. Huang, B. Smith, Q. Zha   +5 more
wiley   +1 more source

Antibody kinetics and shedding dynamics of MERS-CoV in dromedary camels from different production systems in Kenya: a longitudinal cohort study. [PDF]

Trop Anim Health Prod
Wangila RS, Nyariki T, Nyaguthii DM, Wachira TM, Kimutai J, Azegele A, Ndanyi R, Ngoci J, Muasa B, Njogu G, Gathura PB, Gardener EG, Ihab EM, Kamau J, Ofwete R, Makungu C, Shittu A, Bebay C, Fasina FO.   +18 more
europepmc   +1 more source

Knowledge Distillation for Improving Deep Learning‐Based Hydrological Prediction and Fine‐Tuning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This paper introduces knowledge distillation (KD) as a method for improving deep learning (DL)‐based hydrological prediction. The performance of DL models, including long short‐term memory networks (LSTMs), is highly dependent on model structure and training data quality, posing challenges for transfer learning.
M. S. Jahangir, J. Quilty, S. Steinschneider, J. Adamowski   +3 more
wiley   +1 more source

Seroprevalence, risk factors, and spatial distribution of epizootic hemorrhagic disease virus in dromedary camels from northern Oman. [PDF]

Vet World
Hussain MH, Elshafie EI, Ali H, Habsi KA, Toubi AGA, Al-Hamrashdi A, Al-Harrasi M.   +6 more
europepmc   +1 more source

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source

Nutritional Disorders and Metabolic Adaptations in Dromedary Camels: Insights into Foregut Fermentation and Mineral Balance. [PDF]

Animals (Basel)
Hamid MMA, Tharwat M, Ebeid TA, Alshanbari FA.   +3 more
europepmc   +1 more source

A Generalized Resource‐Constrained Framework for Quantifying Ecosystem Water and Carbon Fluxes

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Gross primary productivity (GPP) and evapotranspiration (ET) represent two fundamental processes in coupled water and carbon cycles. The strong regulation of ecosystem carbon and water fluxes by stomata is well understood at the leaf level. However, the coupling is complex at regional or ecosystem scales.
Shuai Wang, Lu Zhang, Ying‐Ping Wang, Lei Cheng, Kaijie Zou, Xuxin Lei, Weibo Liu, Yafei Wang, Pan Liu   +8 more
wiley   +1 more source

Comparative clinical and epidemiological characteristics, risk factors, and outcomes of uterine torsion in camels, buffaloes, and cattle: a multicenter study. [PDF]

Front Vet Sci
Ali A, Derar DR, Rawy M, Alharbi YM.
europepmc   +1 more source

Multi‐Source Adaptive‐Fusion Transfer Learning for Streamflow Forecasting in Data‐Scarce Catchments

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Streamflow gauging records remain sparse in many regions, limiting hydrological predictions. Transfer Learning (TL), which uses knowledge from data‐rich sources to improve predictions in data‐scarce targets, has emerged as a promising solution.
Yuxuan Gao, Dongfang Liang, Edoardo Borgomeo, Hiroshi Cho   +3 more
wiley   +1 more source