ds-FCRN: three-dimensional dual-stream fully convolutional residual networks and transformer-based global-local feature learning for brain age prediction.

The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.

Alterations of amino acids in older adults with Alzheimer's Disease and Vascular Dementia.

Metabolomics provide a promising tool for understanding dementia pathogenesis and identifying novel biomarkers. This study aimed to identify amino acid biomarkers for Alzheimer's Disease (AD) and Vascular Dementia (VD). By amino acid metabolomics, the concentrations of amino acids were determined in the serum of AD and VD patients as well as age-matched healthy controls.

Rapid pesticide residues detection by portable filter-array hyperspectral imaging.

The detection of pesticide residues in agricultural products is crucial for ensuring food safety. However, traditional methods are often constrained by slow processing speeds and a restricted analytical scope. This study presents a novel method that uses filter-array-based hyperspectral imaging enhanced by a dynamic filtering demosaicking algorithm, which significantly improves the speed and accuracy of detecting pesticide residues.

Effects of acute PM purification on cognitive function and underlying mechanisms: Evidence from integrating alternative splicing into multi-omics.

The relationship between fine particulate matter (PM) and cognition has been extensively investigated. However, the causal impact of acute PM purification on cognition improvement and the underlying biological mechanisms remain relatively opaque. Our double-blinded randomized controlled trial assessed the impact of acute PM purification on executive function, underpinned by multi-omics approaches including alternative splicing (AS) analysis.

Estimation and evaluation of usage, loss and ecological risk of neonicotinoid pesticides in a large catchment.

Neonicotinoid pesticides (NNs) are increasingly used in agriculture, which may pose significant threats to aquatic organisms in receiving rivers. However, no studies have explored their entire process from application and transport to receptors within river basins. Here, we estimated the usage and loss of NNs in the Dongting Lake Basin in China using modeling approaches, and assessed NNs-associated aquatic ecological risks.