Results 81 to 90 of about 6,313,307 (213)
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Conventional imaging systems often struggle to recognize objects accurately in challenging environments such as underwater or foggy scenes. We developed a polarization‐sensitive artificial vision device inspired by the mantis shrimp that uses advanced two‐dimensional materials and a ferroelectric layer to directly sense, process, and retain visual ...
Zhaoying Dang +8 more
wiley +1 more source
ABSTRACT This study presents a high‐resolution, multi‐proxy reconstruction of environmental and land‐use change from Lake Dojran over historical times (last 2500 years), combining pollen, biomarkers, radiocarbon dating, Ottoman taxation records and other historical data.
Alessia Masi +15 more
wiley +1 more source
In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu +2 more
wiley +1 more source
Past, present and future of local crop evolution
Promoting agrobiodiversity is a promising strategy for mitigating the negative effects of climate change on global food security. We highlight the central role evolutionary processes play in harnessing the potential of local crops by integrating genomics, archaeology, ethnobotany and traditional ecological knowledge (TEK).
Nataly Allasi Canales +6 more
wiley +1 more source
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
This paper describes the Met Office's new lightning location system LEELA. A brief overview of the upgraded hardware and geolocation algorithms is given. LEELA has improved lightning detection capabilities, especially at night. When comparing LEELA to the previous ATDnet system against ground truths LEELA has 100% storm detection efficiency within 5 km
Graeme Marlton +7 more
wiley +1 more source
Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow
This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré +2 more
wiley +1 more source
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams +9 more
wiley +1 more source

