Results 51 to 60 of about 78,228 (266)
Drivers of Precision Agriculture Adoption in Italian Viticulture
ABSTRACT This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption ...
Olimpia Fontana +3 more
wiley +1 more source
Attribution of Black Carbon Variability in China (2000–2019) from a Perspective of Machine Learning
Substantial black carbon (BC) emissions in China have raised serious concerns owing to their significant influence on climate change and health. However, knowledge around the relative contributions of emissions and meteorological conditions to BC ...
Ruonan Fan +5 more
doaj +1 more source
China’s nationwide monitoring network initiated in 2013 has witnessed continuous increases of urban summertime surface ozone to 2019 by about 5% year ^−1 , among the fastest ozone trends in the recent decade reported in the Tropospheric ozone assessment ...
Hao Yin +6 more
doaj +1 more source
This study analyzed nationwide trends, demographic characteristics, and seasonal patterns of rectal prolapse surgery in Japan using healthcare claims data. From 2014 to 2023, age‐adjusted overall and conventional surgeries declined significantly, whereas laparoscopic surgeries increased significantly.
Masamitsu Kido +9 more
wiley +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Climate change and perennial crop production: Evidence of yield impact and adaptation in California
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen +2 more
wiley +1 more source
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
The aim of our study is to evaluate the interaction between HS and the incorporation of PKM in broiler chicken diets, as well as its effect on growth performance and metabolism. Based on the results obtained, PKM supplementation failed to mitigate the adverse effects of heat stress in broiler chickens. ABSTRACT The aim of this study was to evaluate the
Ahmed Mijiyawa +13 more
wiley +1 more source

