As climate change threatens global agricultural systems, understanding the adaptability of wild plant relatives is crucial.

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

Introduction: The discharge of nuclear wastewater (NW) poses significant environmental, economic, and geopolitical risks, impacting marine ecosystems, global fisheries trade, and public health.

Leyk, S., Nagle, N. N., & Buttenfield, B. P. (2013). Maximum entropy dasymetric modeling for demographic small area estimation. Geographical Analysis, 45(3), 285-306 ...

Institute of Surface Science, Helmholtz-Zentrum Hereon, 21502 Geesthacht, Germany Institute for Soft Matter Modeling, Hamburg University of Technology, 21073 Hamburg, Germany Institute for Materials ...

Diffusion models are closely linked to imitation learning because they generate samples by gradually refining random noise into meaningful data. This process is guided by behavioral cloning, a common ...

ABSTRACT: The primary objective of this study is to assess the impact of climate change on the current and future spatial distribution of areas suitable for the growth of Senegalia senegal, a forest ...

ABSTRACT: The survival of agroforestry tree species in sub-Saharan Africa is essential for sustainable livelihoods, particularly in the semi-arid environment. Drought in the Agroecological zones (AEZ) ...

The model simulates the behavior of 10 spheres (five red and five blue). The spheres represent particles of two different gases and are placed within a square enclosure. The particles are free to move ...

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.