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Abstract In 2023, the world experienced its highest ever global mean surface temperature (GMST). Our study underscores the pivotal significance of El Niño and sea surface temperature (SST) warming as the fundamental cau...

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

While conventional optical sensors hold historical significance, they face inherent limitations in sensitivity, operational intricacies, and bulky size. A breakthrough in this realm comes from the advent of metasurface s...

Abstract Personnel within occupational employment (e.g., military/emergency services) are exposed to various stressors concurrently including psychological, cognitive, physical and environmental. Historically, stressors ...

Abstract This study examines the anthropogenic influences on the heavy precipitation event that occurred in early August 2022, South Korea, using a pseudo global warming (PGW) method with a convection‐permitting model....

Abstract As global temperatures continue to rise, the impact of heatwaves becomes increasingly striking. The increasing frequency and intensity of these events underscore the critical need to understand regional‐scale ...

Abstract We investigate the skill of the fully initialized decadal forecasting system EC‐Earth3 in re‐forecasting the semiannual occurrence frequencies of synoptic‐scale atmospheric circulation types in the extratr...