In recent years, automatic text summarization has witnessed significantadvancement, particularly with the development of transformer-based models.However, the challenge of controlling the readability ...
Background This integrative assessment delineates present and projected hotspots for four dominant tick species in the Beijing-Tianjin-Hebei (BTH) region, providing a spatial basis for targeted survei...
Modeling air quality concentration plays a crucial role in predicting and mitigating airborne pollutant levels. This study collected and organized daily average air quality data and meteorological dat...
Among the various disruptions to landscape sustainability caused by the full-scale invasion of Ukraine, the war-related impacts on the supply of cultural ecosystem services (CES) remain understudied. ...
A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...
Accurate identification of equilibrium points and bifurcation boundaries is fundamental to understanding the nonlinear lateral dynamics of rear-wheel-drive (RWD) vehicles, particularly during aggressi...
This paper studies whether large language models (LLMs) express systematically different opinions on contested questions in development economics and political economy, and whether those opinions are ...
This study provides a comprehensive analysis of fail-safe systems incorporating multiplegeneralized scaled log-logistic outlier components. In this Regard, two structural frameworksare examined: one i...
Industrial Internet-of-Things (IIoT) environments continuously generatemassive, heterogeneous streams of sensor readings, operational logs, andalarm messages, demanding intelligent systems capable of ...
Joint models of longitudinal and time-to-event data are essential for dynamic prediction in chronic disease research, but standard formulations typically assume linear biomarker–hazard associations an...
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