CONCLUSIONS: The above-mentioned findings suggest that miR-200b-3p and miR-214-3p might be potential biomarkers for disease severity and prognosis in COVID-19 patients.
The linkages between the US and China, the world's two major agricultural powers, have brought great uncertainty to the global food markets. Inspired by these, this paper examines the extreme risk spillovers between US and Chinese agricultural
CONCLUSION: Our proposed framework incorporates available public health metrics with operational data on the impact of testing, vaccination, and current viral variant mixtures in the population to provide a foundation for combining dynamic public
CONCLUSIONS: Natural coronavirus infections were common and resulted in strong homotypic immunity but not heterotypic immunity against other coronaviruses, including SARS-CoV-2. Endemic coronavirus and SARS-CoV-2 infections in this US cohort were
CONCLUSIONS: Effects of risk perception on depressive symptoms varied by periods of COVID-19. These findings have important implications for developing effective prevention and early psychoeducational intervention strategies for pregnant women with a
During the Covid-19 crisis, citizens turned to Twitter for information seeking, emotional outlet and sense-making of the crisis, creating ad hoc social communities using crisis-specific hashtags. The theory of ambient affiliation posits that the use
CONCLUSION: In EMPEROR-Preserved, LRTI was frequent and associated with a poor prognosis. Empagliflozin was associated with a reduced risk of LRTI compared to placebo.
Osteomyelitis and abscess of the clivus are rare conditions thought to arise from contiguous spread of infection from the paranasal sinuses. Clival osteomyelitis is a rare potentially life-threatening skull base infection which is generally
Expanding digital data sources, including social media and online news, provide a low-cost way to examine human-nature interactions, such as wildlife exploitation. However, the extent to which using such data sources can expand or bias understanding