Publications by authors named "Y Soo"
Background: The association between SARS-CoV-2 spike protein and cerebrovascular diseases raised a concern of cerebrovascular safety of COVID-19 vaccines. We aimed to determine the risk of radiological cerebral small vessel disease (cSVD) progression with BNT162b2 and CoronaVac.
Methods: In this community-based prospective cohort study, community-dwelling subjects underwent brain MRI before and 4 months after vaccination with BNT162b2 or CoronaVac.
Article Synopsis
- The electrocatalytic reduction of CO to CO is made more efficient by a new mechanism that involves the transfer of hydrogen radicals, helping to speed up the hydrogenation step which leads to the formation of *COOH.
- Researchers used nickel (Ni) paired with other metals (denoted as M) to enhance the conversion of CO by generating adsorbed hydrogen (H•), which in turn reduces CO to carboxyl radicals.
- The choice of metal for pairing with Ni affects the strength of hydrogen adsorption, optimizing H• formation and resulting in a significant increase in CO reduction rates, achieving an impressive faradaic efficiency of up to 100% in certain solutions.
Article Synopsis
- Cerebral small vessel disease (SVD) can lead to various cerebrovascular issues, but research on sex differences in SVD is limited.
- This study analyzed data from over 20,000 patients with acute ischemic stroke to examine whether the presence and severity of cerebral microbleeds (CMB) and other SVD markers differ between males and females.
- Results showed that males had more frequent CMB while females had fewer lacunes but higher severe white matter hyperintensities, indicating distinct SVD characteristics based on sex.
Ship emission variations during the COVID-19 from global and continental perspectives.
Sci Total Environ
December 2024
The COVID-19 pandemic and the International Maritime Organization's (IMO) 2020 fuel-switching policy have profoundly impacted global maritime activities, leading to unprecedented changes in shipping emissions. This study aimed to examine the effects from different scales and investigate the underlying drivers. The big data model Ship Emission Inventory Model (SEIM) was updated and applied to analyze the spatiotemporal pattern of global ship emissions as well as the main contributors in 2019 and 2020.
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