How populism and conservative media fuel conspiracy beliefs about COVID-19 and what it means for COVID-19 behaviors

Research examining attitudes and behaviors of Americans during the COVID-19 pandemic has largely focused on partisanship as a lens through which many Americans see the coronavirus.Given the importance of partisan affiliation and the degree of partisan polarization in the American society, that is certainly an important driver of public opinion, and

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Evidence of aberrant anti-epstein-barr virus antibody response, though no viral reactivation, in people with post-stroke fatigue

Abstract Background Fatigue is a common complication of stroke that has a significant impact on quality of life.The biological mechanisms that underly post-stroke fatigue are currently unclear, however, reactivation of latent viruses and their impact on systemic immune function have been increasingly reported in other conditions where fatigue is a

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An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)

Modern vehicle communication development is a continuous process in which cutting-edge security systems are required.Security is a main problem in the Vehicular Ad Hoc Network (VANET).Malicious node detection is one of the critical issues found in the VANET environment, with the ability to communicate and enhance the mechanism to enlarge the field.

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