Results 271 to 280 of about 2,336,597 (324)

Phenotypic, physicochemical, sensory, and functional attributes of cocoa (Theobroma cacao L.) from Brazilian Amazonian floodplain and upland ecosystems

open access: yesJournal of the Science of Food and Agriculture, Volume 106, Issue 13, Page 7775-7783, October 2026.
Abstract BACKGROUND Cocoa (Theobroma cacao L.) from the Brazilian Amazon plays an important role in national production. While most cocoa is cultivated in upland systems, floodplain ecosystems represent a traditional and distinct production environment that may influence bean composition and quality.
Danielle Amaral e Silva   +6 more
wiley   +1 more source

Large and regional-scale processes influencing Heat Waves: Insights from Qatar. [PDF]

open access: yesSci Rep
Vinodhkumar B   +7 more
europepmc   +1 more source

Grassland forage legumes and drought mitigation – sheep wool application improved soil water availability and enhanced drought–stress responses

open access: yesJournal of the Science of Food and Agriculture, Volume 106, Issue 13, Page 8073-8084, October 2026.
Abstract Background Sheep wool may reduce drought stress in grasslands when used as a soil amendment. Two experiments were conducted to explore if: (i) water absorbed by wool would be biologically ‘active’ and therefore available to plants, using a novel method of measuring water activity (a w); and, (ii) adding wool to compost would delay water stress
Siân Bethan MacKintosh   +5 more
wiley   +1 more source

Organic and Inorganic Pollutants, Oxidative Stress Biomarkers, and Electrophoretic Protein Profiles in an Endangered Thresher Shark (Alopias vulpinus) From Southeastern Brazil: A Case Study

open access: yesEnvironmental Toxicology, Volume 41, Issue 10, Page 833-848, October 2026.
ABSTRACT A comprehensive screening of different environmental contaminants (total metals, thermostable metal fractions associated with detoxification, and persistent organic pollutants) was conducted in an endangered common thresher shark (Alopias vulpinus ) individual incidentally captured in southeastern Brazil.
Sidney Fernandes Sales Junior   +10 more
wiley   +1 more source

Riverine Flood Forecasting Using Advanced Deep Learning Approaches

open access: yesJAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy