Environmental science and pollution research international
May 26, 2026
Globally, the primary concern affecting the suitability of groundwater for drinking is the presence of numerous chemical contaminants in large-scale aquifer systems. Therefore, it is essential to establish reliable methods for assessing groundwater q... read more
Interdisciplinary sciences, computational life sciences
May 26, 2026
Predicting drug-drug interaction (DDI) events is critical for ensuring patient safety, optimizing therapeutic efficacy, and advancing drug discovery. Deep learning-based models have recently attracted considerable attention in this domain and achieve... read more
Journal of endocrinological investigation
May 26, 2026
PURPOSE: Adult Growth Hormone Deficiency (AGHD) is a complex and under-recognized condition, mainly managed in outpatient settings and characterized by fragmented and heterogeneous clinical data. Population registries provide high-quality evidence bu... read more
With aging buildings, rising temperatures, and limited budgets, school districts in the United States need effective strategies to address classroom environmental issues, secure funding for upgrades, and develop climate resilience plans. Collecting r... read more
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjec... read more
Journal of molecular graphics & modelling
May 26, 2026
VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and metastasis. The targeted blockade of VEGFR-2 has emerged as a promising treatment approach across a ... read more
Objective.Current robotic prostheses developed for individuals with transradial amputation often lack physiological feedback, particularly proprioceptive information, which limits control precision and increases reliance on vision.Approach.This study... read more
The application of Large Language Models (LLMs) and Transformers to biological and healthcare datasets requires the extraction of highly accurate, noise-filtered ecological networks. The Random Effects Model (REM) is a powerful statistical method for... read more
Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate(from 38{degrees}C to 30-35{degrees}C), but their metabolism declines as much as 75%. To understand the role of sleep in this hypometaboli... read more
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLDs) greater than 2 m in diameter. In this study, human postmortem choroid plexus was evaluated for lipid droplets. Staining with hematoxylin and eosin ... read more
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