Articles

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.
Elsevier,

The Lancet Regional Health - Southeast Asia, Volume 41, October 2025

This viewpoint offers insights on policy to improve diet quality, that resonate not only in Bangladesh but also across other countries navigating similar transitions.
Elsevier,

Land Use Policy, Volume 157, October 2025

As one of the most food-insecure countries of the Global South, Ethiopia has experienced significant land-use changes driven by economic development and population growth. This study examined the dynamic land use transitions in Ethiopia during the period 2000–2020 including the socio-economic factors driving land-use transitions and grain demand. Although the sustained growth in international trade coupled with increased productivity has benefited the country's food supply, the food security situation in low-income countries, including Ethiopia, will remain critical in the context of population growth.
Elsevier,

Matter, Volume 8, 1 October 2025

With an estimated 2 billion people worldwide suffering from iron deficiency — a condition linked to anemia, impaired childhood brain development, and higher infant mortality — researchers are racing to find more effective nutritional interventions. MIT scientists have developed a promising solution: tiny crystalline particles known as metal-organic frameworks (MOFs) that can be used to fortify everyday foods and beverages, mixed into foods such as bread or sprinkled directly into drinks like coffee or tea.
Elsevier, iScience, Volume 28, 17 October 2025
The study finds that Chinese listed companies' increasing carbon footprints, primarily from value chain emissions, are associated with higher expected returns, indicating a carbon damage risk premium recognized by investors.
Elsevier, Cell Biomaterials, Volume 1, 28 October 2025
Glycation is recognized for its ability to stiffen collagen matrices through non-enzymatic crosslinking. However, the biological effects of glycation in vivo, particularly in diabetic hyperglycemia remain less understood. Clinical observations suggest that diabetes contributes to pathogenic tumor vasculature, yet the underlying mechanisms are not clear.
Elsevier,

Food PolicyVolume 136, October 2025, 102968

This article is a review of the global commitments to ending hunger and achieving SDG2 by 2030, analisesthe rhetoric, actionable plans, financing, and accountability mechanisms. Strengthening global governance and institutionalizing monitoring of commitments are essential to translate these declarations into effective national policies.

Elsevier,

Advances in Applied Energy, Volume 20, 2025

This study develops a capacity expansion model with grid operational detail and high spatial resolution to examine decadal pathways to carbon neutrality by 2060 considering localized and temporal impacts.

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