Seasonal and Temporal Ensemble Models for Accurate Near-Surface Air Temperature Estimation.

The near-surface air temperature (NSAT) is crucial for understanding thermal and urban environments. Traditional estimation methods using general remote sensing images often focus on the types of spatial data or machine learning models used, neglecting the importance of seasonal and temporal variations, limiting their accuracy. This study introduces a novel ensemble model that incorporates both seasonal and temporal information integrated with satellite-derived land surface temperature (LST) data to enhance NSAT estimation, along with a rigorous feature importance analysis to identify the most impactful parameters.

Psychometric properties of the Malay and Chinese Epilepsy Self-Stigma Scale (ESSS).

Objective: Self-stigma means internalizing negative beliefs and attitudes associated with stigmatized identity. This study aimed to translate and validate the Malay and Chinese versions of the Epilepsy Self-Stigma Scale (ESSS).

Methods: The Epilepsy Self-Stigma Scale was translated into the Malay (ESSS-M) and Chinese versions (ESSS-C) according to standard principles and were tested in 100 Malay and 100 Chinese-speaking people with epilepsy (PWE) respectively.

Association between insulin-associated gene polymorphisms and new-onset diabetes mellitus in statin-treated patients.

Background: While statins are effective at managing lipid levels, there is growing evidence for new-onset diabetes mellitus (NODM). The insulin signalling pathway (ISP) inhibited by statins is one of the potential mechanisms; however, most studies have been limited to in vitro settings. Therefore, this study aimed to identify the genetic associations within the ISP-related genes and NODM.