Results 151 to 160 of about 2,927 (242)

A physics-guided machine learning framework for enhancing dust storm visibility prediction in arid and semi-arid regions. [PDF]

Sci Rep
Xu C, Zhang H, Luo K, Liu J, Shen Y, Qin H, Qu Y, Zhu C, Han Z.   +8 more
europepmc   +1 more source

Intensified Oxygen Minimum Zone in Response to Both Insolation Maxima and Carbon Dioxide‐Driven Warmth in the Tropical North Atlantic

Paleoceanography and Paleoclimatology, Volume 41, Issue 8, August 2026.
Abstract Oxygen (O2) is essential for almost all life on Earth, but O2 concentrations are rapidly declining in the oceans under global warming, stressing marine ecosystems and biogeochemical cycles. Numerical model simulations suggest greatly expanded North Atlantic Oxygen Minimum Zones (OMZs) under warm Pliocene conditions, but sparse data limit ...
F. Fayolle, A. J. Crocker, A. Whitehead, C. V. Davis, A. Brombacher, A. Auderset, C. Xuan, P. A. Wilson   +7 more
wiley   +1 more source

A response to Portman et al. (2025): USGS Bee Lab collaborative science and big data are essential for understanding bee biodiversity. [PDF]

Ann Entomol Soc Am
Cobb NS, Du Clos B, Kammerer M, Mathis CL, Rasmussen C, Russo L, Schlauch J, Tucker EM, Zarrillo T.   +8 more
europepmc   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology. [PDF]

Nat Commun
Jennings KS, Collins M, Hatchett BJ, Heggli A, Hur N, Tonino S, Nolin AW, Yu G, Zhang W, Arienzo MM.   +9 more
europepmc   +1 more source

From Control to Connection: Reflections on Implementing Safe Steps in Acute Mental Health Units

International Journal of Mental Health Nursing, Volume 35, Issue 4, August 2026.
ABSTRACT This paper presents a reflective account of the implementation of the Safe Steps for De‐escalation practice model over a 12‐month period across three acute mental health units. It describes the implementation process of the model, designed to reduce restrictive practices in acute mental health settings.
Alison Taylor, Matthew Flowers, Marie Hutchinson   +2 more
wiley   +1 more source

High-Precision Spatial Interpolation of Meteorological Variables in Complex Terrain Using Machine Learning Methods. [PDF]

Sensors (Basel)
Li S, Zhang B, Shi B, Ai Q, Zeng Y, Yan X, Chen H, Wang H.   +7 more
europepmc   +1 more source

Acyclic Hydrocarbon α,ω‐Dienes: From Biomass and Plastic Upcycling to Carbocycles, Precision Polymers, and Cross‐Linked Elastomers

ChemSusChem, Volume 19, Issue 14, 29 July 2026.
Hydrocarbon α,ω‐dienes are mainly produced from steam‐cracking derivatives, but high costs, complexity, and environmental impact limit their use. This review highlights sustainable paths from biomass and plastic upcycling, and surveys catalytic transformations into carbocycles and specialty polymers, emphasizing their role as modular building blocks ...
Rosa Villaccio, Giuseppe Leone
wiley   +1 more source

The impact of meteorological conditions on the occurrence of low back pain in a retrospective registry based population study. [PDF]

Sci Rep
Ochal M, Lewczuk KG, Dragańska E, Cymes I, Romaszko J.   +4 more
europepmc   +1 more source

Invisible Ship Tracks Produce Mean‐State Cloud Microphysics Perturbation in Tropical Trade Cumulus

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Aerosol effects in cumulus‐topped boundary layers remain relatively unconstrained and drive uncertainty in climate modeling. We assess the impacts of shipping aerosol on trade cumulus, combining satellite retrievals and large eddy simulations (LES).
Chris J. Wright, Jihu Liu, Yang Cao, Yannian Zhu, Daniel Rosenfeld, Robert Wood, Joel A. Thornton   +6 more
wiley   +1 more source