Perivascular adipose tissue: a central player in the triad of diabetes, obesity, and cardiovascular health.

Perivascular adipose tissue (PVAT) is a dynamic tissue that affects vascular function and cardiovascular health. The connection between PVAT, the immune system, obesity, and vascular disease is complex and plays a pivotal role in the pathogenesis of vascular diseases such as atherosclerosis, hypertension, and vascular inflammation. In cardiometabolic diseases, PVAT becomes a significant source of proflammatory adipokines, leading to increased infiltration of immune cells, in cardiometabolic diseases, PVAT becomes a significant source of proinflammatory adipokines, leading to increased infiltration of immune cells, promoting vascular smooth muscle cell proliferation and migrationpromoting vascular smooth muscle cell proliferation and migration.

Psychological attributes and eating behaviors in 5- to 12-year-old children during periods of stress.

Objective: The objective of this study was to investigate the association between psychological attributes and obesogenic behaviors in children during the period of COVID-19 pandemic-induced stress.

Methods: This observational study collected data from caregivers of 5- to 12-year-old children from three diverse groups assessing sociodemographic, economic, and perceived stress, along with the Strengths and Difficulties Questionnaire (SDQ) and the Family Eating and Activity Habits Questionnaire, revised (FEAHQ-R), in October 2020 and June 2021. The outcome measures were SDQ and FEAHQ-R scores.

Infrared radiative transfer dataset: Comparisons of HITRAN2020, HITRAN2016, and MT_CKD versions 3.2 & 4.1.1 across five model atmospheres.

This dataset presents the outputs of a series of experiments conducted varying combinations of two versions of the High Resolution Transmission (HITRAN) database (2016 and 2020) and two versions of the MT_CKD water vapor (WV) continuum model (3.2 and 4.1.

GOES ABI-derived hailstorm polygons and tracking dataset for Brazil.

This paper describes a dataset of convective systems (CSs) associated with hailstorms over Brazil tracked using GOES-16 Advanced Baseline Imager (ABI) measurements and the Tracking and Analysis of Thunderstorms (TATHU) tool. The dataset spans from June 5, 2018, to September 30, 2023, providing five-year period of storm activity. CSs were detected and tracked using the ABI's clean IR window brightness temperature at 10.