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
The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events. [PDF]
Mallard MS +5 more
europepmc +1 more source
Oceanic control of multidecadal variability in an idealized coupled GCM
Quentin Jamet +4 more
openalex +2 more sources
Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh
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
Recurrent Heart Failure From Fulminant Giant Cell Myocarditis Following COVID-19 Infection Requiring Heart Transplantation. [PDF]
Amedi A +5 more
europepmc +1 more source
Development of Representative GCMs Selection Technique for Uncertainty in Climate Change Scenario
Imgook Jung +4 more
openalex +2 more sources
Slantwise Convection and Heat Transport in Icy Moon Oceans
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
Gaze cluster analysis reveals heterogeneity in attention allocation and predicts learning outcomes. [PDF]
John N +3 more
europepmc +1 more source
Predictability of Storms in an Idealized Climate Revealed by Machine Learning
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]
Ouimet-Grennan E +4 more
europepmc +1 more source

