Climate change, extreme heat, and growing environmental instability are intensifying public health risks across diverse populations. In this context, ...

A long-term experiment reveals tropical forests in Panama are able to adapt to droughts, but scientists warn this short-term ...

Abstract: Domain adaptation (DA)-based subspace-learning method is widespread in the field of mechanical fault diagnosis (MFD) with limited training samples. However, most current methods focus on ...

Think of Ghana's rivers and wetlands as the nation's secret lovers: vital, life-giving, often taken for granted, and now vanishing before our eyes.

Keeping in mind the growing impacts of climate change in Nepal, the Nepal Academy of Science and Technology (NAST) organized ...

As climate and environmental pressures intensify, 2025 marked a pivotal year for Rwanda with the rollout of multiple green initiatives aimed at strengthening climate resilience and advancing ...

Aravalli ridges play a key role in moderating heat and reducing the intensity of dust storms in Delhi, Gurugram, Jaipur. One of the most crucial concerns is environmental impact ...

The twin cyclones Senyar and Ditwah that struck South and Southeast Asia in November caused unprecedented flooding across the region, with Thailand among the most severely affected.Hat Yai, in ...

Urban forests in parks and mixed-use spaces are typically not insured to cover the replacement cost of trees downed by storms and other high-risk events. From offsetting higher temperatures as cities ...

Abstract: Unsupervised domain adaptation for remote sensing semantic segmentation (UDA-RSSeg) is to adapt a model trained on the source-domain data to the target-domain samples, thereby minimizing the ...