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Epstein-Barr virus-associated smooth muscle tumors (EBV-SMTs) represent a rare category of soft tissue tumors that are predominantly seen in individuals with compromised immune systems. Pathologically, EBV-SMT has malignant potential because of its unpredictable nature. These tumors can manifest at various anatomical sites or even multiple lesions in different locations.

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Background: Attitudes and beliefs regarding HIV among adolescents and young adults (AYA) may influence practices that increase the risk of HIV transmission. The study aimed to determine the attitudes and beliefs regarding HIV among senior secondary students and their sexual practices.

Methodology: It was a cross-sectional descriptive study that involved 1,200 adolescents and young adults (AYA) aged 14-24 years in senior secondary schools in Abakaliki.

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Many new circulating recombinant forms (CRFs) and unique recombinant forms (URFs) of human immunodeficiency virus type-1 (HIV-1) have been discovered in populations with multiple circulating HIV-1 genotypes. In this study, we report two novel URFs derived from two HIV-1-positive individuals in Hebei, China, who were infected through homosexual (BDD142) and heterosexual (BDD154) contact. Phylogenetic and recombinant analyses of the two NFLG revealed that they are second-generation recombinant strains originating from the CRF01_AE cluster 4/B and CRF01_AE cluster 5/B strains.

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People living with HIV (PLWH) in Canada experience high rates of interpersonal violence which may lead to adverse health outcomes that require hospitalization. Using self-reported data on experiences of violence linked to administrative health data on hospitalizations, we used Poisson regression modelling to examine and compare the associations between experiences of violence (recent [in the past 6 months], non-recent [>6 months ago], or none) and hospitalization rates, among a sample of PLWH in British Columbia, Canada. Of 984 PLWH included in this study, 60.

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Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke.

Front Neurol

January 2025

Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.

Introduction: Early prognosis prediction of acute ischemic stroke (AIS) can support clinicians in choosing personalized treatment plans. The aim of this study is to develop a machine learning (ML) model that uses multiple post-labeling delay times (multi-PLD) arterial spin labeling (ASL) radiomics features to achieve early and precise prediction of AIS prognosis.

Methods: This study enrolled 102 AIS patients admitted between December 2020 and September 2024.

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