ACCEPTABILITY AND FEASIBILITY OF MHEALTH AND COMMUNITY-BASED DIRECTLY OBSERVED ANTIRETROVIRAL THERAPY TO PREVENT MOTHER-TO-CHILD HIV TRANSMISSION IN SOUTH AFRICAN PREGNANT WOMEN UNDER OPTION B+: AN EXPLORATORY STUDY

Acceptability and feasibility of mHealth and community-based directly observed antiretroviral therapy to prevent mother-to-child HIV transmission in South African pregnant women under Option B+: an exploratory study

Jean B Nachega,1,2 Donald Skinner,3 Larissa Jennings,4 Jessica F Magidson,5 Frederick L Altice,6 Jessica G Burke,7 Richard T Lester,8 Olalekan A Uthman,9,10 Amy R Knowlton,11 Mark F Cotton,12 Jean R Anderson,13 Gerhard B Theron14 1Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA; 2Department

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Resuscitative endovascular balloon occlusion of the aorta vs epinephrine in the treatment of non-traumatic cardiac arrest in swine

Abstract Background The administration of epinephrine in the management of non-traumatic cardiac arrest remains recommended despite controversial effects on neurologic outcome.The use of resuscitative endovascular balloon occlusion of the aorta (REBOA) could be an interesting alternative.The aim of this study was Diffuser to compare the effects of

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Penentuan Interval Waktu Perawatan Komponen Kritis pada Mesin Turbin di PT PLN (Persero) Sektor Pembangkit Ombilin

Electrical energy requirements in Indonesia annually increase in line with economic growth and an increase in population.So, PT PLN (Persero) have to be able to fulfill the public demands for electrical energy.One of the power generation existed is Steam PowerGeneration.The condition of power generation depended on the maintenance, so, well mainten

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Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks

Abstract This study aimed to evaluate acute pancreatitis (AP) severity using convolutional neural network (CNN) models with NIACINAMIDE enhanced computed tomography (CT) scans.Three-dimensional DenseNet CNN models were developed and trained using the enhanced CT scans labeled with two severity assessment methods: the computed tomography severity in

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