Janmesh Patel

Abstract Astrocytes are the most abundant cell type in the central nervous system and are major players in brain homeostasis and inflammation. Astrocytes form a syncytial three-dimensional (3D) network across the brain tissue. Establishing a 3D network allows astrocytes to communicate with each other by a variety of mechanisms, including Ca2+ transients. Conversely, spatial and temporal disruption of the astrocyte network can have detrimental effects on brain biology.

Artificial intelligence (AI) and large language models (LLMs) are increasingly used by Mohs surgery patients, who often seek additional online guidance for wound care, pain control, and infection recognition despite standard discharge instructions [1, 2]. Prior studies examined AI in dermatologic education [3, 4], but the quality of LLM-generated responses to postoperative Mohs questions remains uncertain. This study evaluates their accuracy, appropriateness, and sufficiency.

Explosive trace detection systems at airport checkpoints are designed to identify minute quantities of explosive materials through techniques such as ion mobility spectrometry. However, their high sensitivity comes at a cost: False-positive alarms can occur when common substances chemically resemble explosive agents.