Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula.

Estimating spatiotemporal maps of greenhouse gases (GHGs) is important for understanding climate change and developing mitigation strategies. However, current methods face challenges, including the coarse resolution of numerical models, and gaps in satellite data, making it essential to improve the spatiotemporal estimation of GHGs. This study aims to develop an advanced technique to produce high-fidelity (1 km) maps of CO and CH over the Arabian Peninsula, a highly vulnerable region to climate change.

Parental attitudes and perceptions towards the recruitment of children to clinical trials: a cross-sectional survey.

Background: Clinical trials (CTs) in children are critical for understanding and treating childhood diseases. However, there trials require prior permission from parents. We evaluated parental attitudes and perceptions regarding the recruitment of their children in CTs.

Corrigendum to "Epidemiology of adult patients with atopic dermatitis in AWARE 1: A second international survey" [World Allergy Organ J 16 (3) (2023) 100724].

[This corrects the article DOI: 10.1016/j.waojou.

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy.

Future space exploration missions will expose astronauts to various stressors, making the early detection of mental stress crucial for prolonged missions. Our study proposes using functional near infrared spectroscopy (fNIRS) combined with multiple machine learning models to assess the level of mental stress. The objective is to identify and quantify stress levels during 240 days confinement scenario.

An investigation on the structural, morphological, optical, and antibacterial activity of Sr:CuS nanostructures.

The aim of the present study is to synthesize CuSrS (x = 0.00, 0.025, 0.