From Theory to Practice: Artificial Intelligence (AI) Literacy Course for First-Year Medical Students.

Artificial intelligence (AI) is rapidly transforming healthcare by enhancing diagnostics, personalized medicine, and clinical decision-making. In medical education, AI chatbots have the potential to be used as virtual tutors or learning assistants. Despite AI's growing impact, its integration into medical education remains limited.

Synthesis and bioactivity of a novel surfactin-based lipopeptide for mRNA delivery.

The effective delivery of messenger ribonucleic acid (mRNA) to specific cell types and target tissues poses a significant challenge in nonviral therapeutic strategies. Lipid-based nanoparticles (LNPs) have emerged as a leading carrier system for delivering mRNA, particularly for infectious diseases, such as COVID-19. This study aimed to describe the synthesis of a novel lipopeptide based on surfactin, a naturally occurring surfactant.

Interdependent water and power infrastructure model (IWPIM): A modeling approach for water and energy resource management in rural communities.

The importance of the dependencies between water and power systems is more acutely perceived when challenges emerge. As both energy and water supply are limited, efficient use is a must for any sustainable future, especially in rural areas. Although important, a modeling tool that can analyze water-energy systems interdependencies in rural systems, at the architectural level highlighting the physical interconnections and synergies of these systems, is still lacking.

Selectivity of Sol-Gel and Hydrothermal TiO Nanoparticles towards Photocatalytic Degradation of Cationic and Anionic Dyes.

Titanium dioxide (TiO) nanoparticles have been extensively studied for catalyzing the photo-degradation of organic pollutants, the photocatalyst being nonselective to the substrate. We, however, found that TiO nanoparticles prepared via the sol-gel and hydrothermal synthetic routes each possess a definite specificity to the charge of the substrate for photodegradation. The nanoparticles were characterized by SEM, FTIR, XRD, TGA, and UV-visible spectra, and the photocatalytic degradation under UV-B (285 nm) irradiation of two model compounds, anionic methyl Orange (MO) and cationic methylene blue (MB) was monitored by a UV-visible spectrophotometer.