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Background: There is a high prevalence of depression among refugee youth in low- and middle-income countries, yet depression trajectories are understudied. This study examined depression trajectories, and factors associated with trajectories, among urban refugee youth in Kampala, Uganda.

Methods: We conducted a longitudinal cohort study with refugee youth aged 16-24 in Kampala, Uganda.

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Background: Smoking is highly prevalent among HIV-infected individuals and is associated with high morbidity and mortality. Studies on smoking among HIV-infected individuals in China, especially compared to uninfected individuals, are scarce.

Purpose: This study aimed to investigate and compare the prevalence and factors associated with smoking between HIV-infected and uninfected men in Guilin, China.

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Introduction: Pediatric coronavirus disease 2019 (COVID-19) vaccination rates in the United States remain lower compared with adults. We aimed to (1) implement a quality improvement initiative to increase COVID-19 vaccination 2-fold in hospitalized patients 12-21 years of age from 4.7% during the baseline period (August 10, 2021-November 1, 2021) to 9.

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Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, with the worst prognosis among all subtypes. The impact of distinct cell subpopulations within the tumor microenvironment (TME) on TNBC patient prognosis has yet to be clarified.

Methods: Utilizing single-cell RNA sequencing (scRNA-seq) integrated with bulk RNA sequencing (bulk RNA-seq), we applied Cox regression models to compute hazard ratios, and cross-validated prognostic scoring using a GLMNET-based Cox model.

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Inefficient control of elevated blood sugar levels can lead to certain health complications such as diabetic nephropathy (DN) and cardiovascular disease (CVD). The identification of effective biomarkers for monitoring diabetes was performed in the present study. The present study aimed to investigate the implications of long non-coding RNA megacluster (lnc-MGC), microRNA (miR)-132 and miR-133a, and their correlation with lactate dehydrogenase (LDH) activity and glycated hemoglobin (HbA1C) levels to identify biomarkers for the early diagnosis of diabetes mellitus, induced DN and CVD.

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