Articles

Elsevier,

Language and Health, Volume 3, December 2025

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.
Elsevier, International Journal of Educational Research Open, Volume 9, December 2025
This scoping review aims to identify trends in studies related to children's online safety education facilitated by digital technologies. The review is guided by the five-stage framework developed by Arksey and O'Malley.
Elsevier,

Food and Humanity, Volume 5, December 2025

Afghanistan faces severe food insecurity, with millions suffering hunger and malnutrition, especially children, due to economic hardship, climate change, and poor infrastructure. Improving agricultural practices, healthcare, and safety standards is crucial for enhancing the country's food security and well-being.
Elsevier,

World Development Sustainability, Volume 7, December 2025

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.
Elsevier,

The Journal of Mathematical BehaviorVolume 80, December 2025, 101270

This qualitative study explored challenges faced by upper primary mathematics teachers in Rwanda following the switch to English as the medium of instruction.

Elsevier,

Teaching and Teacher Education, Volume 166, November 2025

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.
Elsevier,

International Journal of Food Microbiology, Volume 442, 2 November 2025

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.
Elsevier,

Chemical Engineering Journal, Volume 522, 15 October 2025

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.
Elsevier,

Journal of Environmental Chemical Engineering, Volume 13, October 2025

This article provides a comprehensive review of the use of graphene-based biosensing platforms for the early detection of Alzheimer's disease. It is found that graphene-based biosensors can detect Alzheimer's disease biomarkers at femtomolar concentrations, enabling early diagnosis before symptom onset. These sensors can also identify multiple biomarkers simultaneously in accessible biofluids like blood, saliva, and urine, enabling less invasive testing.
Elsevier,

Neuroscience, Volume 585, 15 October 2025

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.

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