Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly affects children and adults worldwide, characterized by persistent inattention, hyperactivity, and impulsivity. Current research in this field faces challenges, particularly in accurate diagnosis and effective treatment strategies. The analysis of motor information, enriched by artificial intelligence methodologies, plays a vital role in deepening our understanding and improving the management of ADHD.

Acid Water-ground Nano-realgar Is Superior to Crude Realgar in Promoting Apoptosis of MCF-7 Breast Cancer Cells.

Objective: Realgar is a traditional mineral Chinese medicine with antitumor effects, but it has high toxicity and low efficacy in its crude form. The purpose of this study was to optimize realgar to increase its efficacy and therapeutic potential.

Methods: Crude realgar (CR) was mechanically ground to obtain nano-realgar (NR), and then nano-realgar processed products (NRPPs) were obtained using three different traditional Chinese medicine processing methods: grinding in water, acid water, and alkali water, respectively.

Donepezil, a drug for Alzheimer's disease, promotes oligodendrocyte generation and remyelination.

Myelin sheaths play important roles in neuronal functions. In the central nervous system (CNS), the myelin is formed by oligodendrocytes (OLs), which are differentiated from oligodendrocyte precursor cells (OPCs). In CNS demyelinating disorders such as multiple sclerosis (MS), the myelin sheaths are damaged and the remyelination process is hindered.