GERD linked to cardiovascular risk factors: New insights from Mendelian randomization study
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Updates every hour. Last Updated: 20-Nov-2024 12:09 ET (20-Nov-2024 17:09 GMT/UTC)
This study suggests that GERD may elevate cardiovascular risks, including increased blood pressure, unhealthy lipid levels, and a higher likelihood of heart disease. Through advanced genetic analysis, researchers linked GERD to elevated systolic and diastolic blood pressure, higher LDL cholesterol, and an increased risk of heart attack, highlighting GERD’s broader health implications.
Machine learning's predictive power is underutilized in vehicle-pedestrian risk identification, impeding proactive safety. A new model is needed to estimate crash severity, not just frequency. Researchers propose a novel framework combining machine learning and extreme value theory to estimate pedestrian crash frequencies by injury severity levels.
Researchers at the University of Natural Resources and Life Sciences, Vienna, and Institut Teknologi Sumatera, Indonesia, set out to explore the dynamics behind shared micromobility fleet development. By utilizing a system dynamics modeling approach, they examined how fleet size, user demand, regulatory policies, and economic factors interact to shape the success of these systems.
Researchers at the University of Natural Resources and Life Sciences, Vienna, and Institut Teknologi Sumatera, Indonesia, set out to explore the dynamics behind shared micromobility fleet development. By utilizing a system dynamics modeling approach, they examined how fleet size, user demand, regulatory policies, and economic factors interact to shape the success of these systems.
Researchers delved deep into the regulation of cobalt active sites to enhance the selectivity of propylene to improve scalability and affordability of the production of this important chemical.
Researchers at Tsinghua University introduced a new concept called ϵ-controllability and its testing method for datatic control (i.e., data-driven control) systems, overcoming the challenge of controllability test for datatic systems caused by spatial discontinuity of their system description.
A new study presents a breakthrough in energy storage by introducing vanadium doping to lithium-rich layered oxides. This modification significantly enhances oxygen redox reversibility, improving voltage stability and boosting initial Coulombic efficiency to 91.6%. The vanadium-doped material addresses key issues in lithium-ion batteries, such as low efficiency and rapid voltage decay, making it a promising solution for next-generation battery technologies. These advancements offer a clear pathway for overcoming existing challenges in high-energy storage systems, particularly in applications like electric vehicles and renewable energy storage.
An advanced aqueous battery design incorporating photothermal technology enables rapid self-heating, making it well-suited for low-temperature environments. The battery uses photothermal current collectors to convert sunlight into heat, which is efficiently distributed throughout the system by high-conductivity suspension electrodes. This design mitigates common cold-climate challenges such as electrolyte freezing and slow ion transfer, ensuring stable performance in sub-zero conditions.
Due to the absence of structural defects such as grain boundaries and dislocations in bulk metallic glasses (BMGs), they exhibit outstanding mechanical properties. However, this also poses challenges for their machining. Although numerous studies have explored the impact of cutting parameters on their machining characteristics, there is a scarcity of research that investigates the influence of tool corner radius on cutting characteristics through examining chip geometrical characteristics. It is essential to fill this research gap.