Environmental science and pollution research international
Apr 6, 2026
This study presents a comprehensive data-driven framework for predicting and interpreting CO2 uptake in metal-organic frameworks (MOFs) using advanced machine learning (ML) and explainable artificial intelligence (XAI) techniques. A curated dataset o... read more
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Apr 6, 2026
Green ammonia is attracting attention as a way of realizing a decarbonized society. In this study, we designed a green ammonia production process under limited power supply. In conventional process optimization, candidates for the design variables ar... read more
OBJECTIVE: Mild cognitive impairment (MCI) represents a critical prodromal stage associated with Alzheimer's disease and other age-related neurocognitive conditions in middle-old aging adults, yet research exploring its association with fine motor sk... read more
Cellular membranes serve as selective barriers, and membrane permeability is crucial for drug pharmacokinetics. While in vitro and in vivo methods exist, predicting and designing membrane permeability remains challenging. We developed a thermodynamic... read more
BACKGROUND: Storytelling interventions have demonstrated substantial potential in improving emotional well-being, cognitive function, and quality of life for older adults. However, its effectiveness is often limited by the challenges of processing di... read more
Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates efficient solutions for providing accurate and prompt risk assessments while preserving data confidentiality. This work proposes a new framework using Fed... read more
Deepfake (DF) content poses a major challenge to digital media authentication, that can mimic facial movements, creating realistic replicas that risk spreading misinformation and enabling harassment, as can be seen in Bangladesh. Previous studies app... read more
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