Results 211 to 220 of about 18,601 (295)

Incorporation of Coconut Fibers Into Clay‐Based Mortars: A Study on Mechanical and Microscopic Behavior

open access: yesInternational Journal of Ceramic Engineering &Science, Volume 8, Issue 2, March 2026.
Clay‐based mortar reinforced with coconut fibers showed improved flexural strength and promising mechanical performance, despite shrinkage‐induced cracks. The study highlights the potential of using waste and natural fibers in eco‐efficient mortars, emphasizing the importance of curing and moisture control.
Gabriela Machado Guimarães Ferreira   +1 more
wiley   +1 more source

Oceanic control of multidecadal variability in an idealized coupled GCM

open access: green, 2015
Quentin Jamet   +4 more
openalex   +2 more sources

Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh

open access: yesJournal of Sustainable Agriculture and Environment, Volume 5, Issue 1, March 2026.
ABSTRACT Assessing the impact of climate change is crucial for addressing the challenges of sustaining and increasing rice production. This study employed the APSIM model driven by climate data from 27 global climate models under SSP245 and SSP585 emission scenarios to evaluate climate change effects on irrigated and rainfed rice in three key rice ...
Md Belal Hossain   +4 more
wiley   +1 more source

Slantwise Convection and Heat Transport in Icy Moon Oceans

open access: yesGeophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Ocean heat transport on icy moons shapes the ice shell topography, a primary observable of these moons. Two key processes control the heat transport: baroclinic instability driven by surface buoyancy contrasts and convective instability driven by heating from the core.
Yaoxuan Zeng, Malte F. Jansen
wiley   +1 more source

Predictability of Storms in an Idealized Climate Revealed by Machine Learning

open access: yesGeophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract The midlatitude climate and weather are shaped by storms, yet the factors governing their predictability remain insufficiently understood. Here, we use a Convolutional Neural Network (CNN) to predict and quantify uncertainty in the intensity growth and trajectory of over 200,000 storms simulated with a 200‐year aquaplanet GCM.
Wuqiushi Yao, Or Hadas, Yohai Kaspi
wiley   +1 more source

Fulminant Myocarditis After mRNA COVID-19 Vaccine Evolving to Giant Cell Myocarditis. [PDF]

open access: yesJACC Case Rep
Ouimet-Grennan E   +4 more
europepmc   +1 more source

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