Trachoma Impact Survey Results from 31 Woredas in Tigray Region, Ethiopia.

Purpose: Baseline surveys were conducted in Tigray region, Ethiopia, in 2013. Since then, rounds of azithromycin mass drug administration (MDA) have been delivered in-line with international guidance. The purpose of these surveys was to assess trachomatous inflammation-follicular (TF) prevalence following those treatments to enable the region to plan the next steps towards elimination of trachoma.

Origin of Tar Balls Along the Beaches of Genaveh Region, Persian Gulf.

Oil spills and tarballs are significant pollutants in marine environments, and identifying their sources is crucial for mitigating environmental impacts. This study aims to determine the primary sources of petroleum spills and tarballs along the shores of Genaveh (northwest of the Persian Gulf) by employing chemical fingerprinting techniques and biomarkers. Specifically, petroleum hydrocarbons were analyzed in 19 tarball samples, 13 surface sediment samples from the Genaveh coast, and reference oil samples from 21 offshore oil platforms located in the Bahregan, Khark, Lavan, Siri, and Hendurabi regions.

Impact of graft-to-recipient weight ratio on early systemic inflammatory response syndrome risk following pediatric liver transplantation.

None.

Investigating Oil Entrance from Hendijan Oil Field in the Northwest of the Persian Gulf Using Chemical Fingerprinting.

Concerning the entrance of oil into the Persian Gulf due to the presence of oil fields in this ecosystem, a wide investigation was carried out in 2017 to evaluate the hydrocarbons source identification and chemical fingerprinting. To this end, surface sediments were collected from the Persian Gulf. In the laboratory, compounds (n-alkanes, PAHs, hopane and sterane) were then extracted with a Soxhlet system and two steps of chromatographic columns and analyzed using a GC-MS instrument.

Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort.

Identifying early predictors of cognitive decline and at-risk individuals is essential for timely intervention and prevention of dementia. This study aimed to detect neurobiological changes and factors related to cognitive performance in the Metropolit 1953 Danish male birth cohort. We analyzed data from 582 participants, aged 57-68 years, using machine learning techniques to group cognitive trajectories into four clusters differentiating high- and low-performing groups.