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Explores the application of machine learning in medicine, emphasizing interpretability, variability between patients, and the quest for transparent equations in medical models.
Covers the fundamentals and applications of organic chemistry, emphasizing its importance in various fields and exploring career opportunities for organic chemists.
Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.
Delves into computational models of spinal locomotor circuitry, showcasing accurate reproductions of speed-dependent gait expressions and experimentally observed changes.
Explores the impact of air pollution on agriculture, cities, and industries, discussing sources, historical episodes, current problems, regulations, and global trends.
Explores the historical evolution of biomaterials, emphasizing the multidisciplinary nature of the field and the need to understand engineering concepts and biological processes.
