Articles

The article provides a comprehensive analysis of the escalating health impacts of climate change across Latin America, as well as the region's progress and challenges in adaptation, mitigation, and engagement.

The goal of this special issue is to highlight the latest and most significant outcomes in energy and carbon-neutral urban water management for net-zero emissions.

This study presents AlzFormer, a novel deep learning framework utilizing spatiotemporal self-attention to classify Alzheimer’s disease (AD), mild cognitive impairment (MCI), and cognitively normal (CN) individuals from structural MRI scans. By modeling MRI volumes as sequential slice-based inputs and fine-tuning a pre-trained TimeSformer model, AlzFormer achieved 94% accuracy and high class-wise F1-scores, while attention map analyses highlighted clinically relevant brain regions, demonstrating both robust performance and interpretability in multiclass AD diagnosis.