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Owing to the unprecedented COVID-19 pandemic, the pharmaceutical industry has attracted considerable attention, spurred by the widespread expectation of vaccine development. In this study, we collect relevant topics from news articles related to COVID-19 and explore their links with two South Korean pharmaceutical indices, the Drug and Medicine index of the Korea Composite Stock Price Index (KOSPI) and the Korean Securities Dealers Automated Quotations (KOSDAQ) Pharmaceutical index. We use generalized Dirichlet-multinomial regression (g-DMR) to reveal the dynamic topic distributions over metadata of index values. The results of our analysis, obtained using g-DMR, reveal that a greater focus on specific news topics has a significant relationship with fluctuations in the indices. We also provide practical and theoretical implications based on this analysis. [ABSTRACT FROM AUTHOR]

The article focuses on the findings of a study that used an LKB-2277 Bioactivity Monitor to determine the effect of Poly (amido amine) (PAMAM) dendrimers on the thermogenic curves of the growth metabolism of Escherichia coli. It explores the stimulatory effect of PAMAM G4 dendrimer. It concludes that small changes in same macromolecules could produce significant different effects on microbial growth.