Ensure healthy lives and promote well-being for all at all ages
This article provides a bibliometric analysis of 545 linguistics research articles on dementia published between 1994 and 2023, highlighting key contributors, influential journals, and foundational references.
This study explores the food and nutrition security practices among artisanal and small-scale mining communities in Nigeria, revealing both strengths, such as access to local foods and purchasing power, and significant challenges, including meal skipping, poor water quality, and limited healthcare access. The findings emphasize the need for comprehensive interventions to improve nutrition, healthcare infrastructure, and social protection, which are essential for the well-being and sustainable development of these mining communities.
This research underscores the potential of aquaponic systems to contribute to sustainable urban food production while emphasizing the importance of stringent water quality and hygiene practices to ensure food safety in global food systems.
This study examines factors influencing preprimary teacher turnover in peri-urban Ghana, finding that 22% of teachers left their positions within a school year. Psychological well-being, including depression, anxiety, and job satisfaction, was the strongest predictor of turnover and mediated the impact of personal stressors. The findings emphasize the importance of holistic support addressing both personal and professional needs to improve teacher retention and education quality.
This review highlights how the nature crisis, particularly climate change, is reshaping the distribution and intensity of diseases, posing significant challenges for global and local health policies. It underscores the urgent need for adaptive, multidisciplinary health strategies that address vulnerable populations and prioritize mitigation efforts to build a sustainable relationship between humans and nature.
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.
Report on a new smart delivery system designed to target and treat Alzheimer's disease more effectively, aiming to overcome the challenges of current treatments and offering a promising way to fight Alzheimer's more accurately and safely.
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.
