PubMed COVID-19 Clinical Care

The objectives of our study were to examine recreational screen time behavior before and two years following the COVID-19 pandemic lockdown, and explore whether components of the capability-opportunity-motivation-behavior (COM-B) model would predict

Licorice, a traditional Chinese medicine, has been widely used for the treatment of COVID-19, but all active compounds and corresponding targets are still not clear. Therefore, this study proposed a deep learning-based network pharmacology approach

CONCLUSION: Structured training module was effective in training the participants. Multimode assessment method (Pre-test, Post-test, and OSCE) is an important step to evaluate any training program as compared to only the pre- and post-test methods of

CONCLUSION: Collectively, GBE50 and some constituents in this herbal product could strongly inhibit SARS-CoV-2 3CL^(pro) in dose- and time-dependent manner. Gallocatechin and sciadopitysin were identified as potent SARS-CoV-2 3CL^(pro) inhibitors

CONCLUSION: In this study, a valid and reliable tool based on PMT to predict smoking behavior in students was introduced. This tool can be used in interventional and etiological studies. It also has questions related to the coronavirus disease 2019

PURPOSE OF REVIEW: Adrenal insufficiency (AI) is the clinical manifestation of deficient production of glucocorticoids with occasionally deficiency also in mineralocorticoids and adrenal androgens and constitutes a fatal disorder if left untreated

This paper provides a novel model that is more relevant than the well-known conventional distributions, which stand for the two-parameter distribution of the lifetime modified Kies Topp-Leone (MKTL) model. Compared to the current distributions, the

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Rates of Major Depressive Disorder (MDD) are increasing globally, in part due to the COVID-19 pandemic, contributing to disease burden. It has long been known that insomnia is intricately connected with depression as indicated by greater depression

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