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Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study
Article describes how the authors' study sought to leverage machine learning approaches to determine whether social determinants of health improve prediction of incident cardiovascular disease (CVD). Participants in the Jackson Heart study with no history of CVD at baseline were followed over a 10-year period to determine first CVD events.
Date:
November 10, 2023
Creator:
Morris, Matthew C.; Moradi, Hamidreza; Aslani, Maryam; Sims, Mario; Schlundt, David; Kouros, Chrystyna D. et al.
System:
The UNT Digital Library
Scaling Students' Self-Efficacy on Machine Translation Post-Editing: Psychometric Properties of the Scale and Their Associations
Article describes how Machine Translation Post-Editing has emerged as a productivity-enhancing practice in the language service industry, where human editors correct the output of machine translation systems. this research paper aims to assess students' self-efficacy in translation learning, specifically in the context of MTPE, and explore the factor structure, psychometric properties, and internal associations of their self-efficacy.
Date:
November 1, 2023
Creator:
Li, Qing & Huang, Tai-yi
System:
The UNT Digital Library
Spatial Analysis and visual Communication of Emergency Information through Augmented Reality
Article describes how during emergencies like fire and smoke or active shooter events, there is a need to address the vulnerability and assess plans for evacuation. This paper presents the development and evaluation of the mobile augmented reality application designed specifically for acquiring spatial analysis, situational awareness, and visual communication.
Date:
November 2023
Creator:
Sharma, Sharad & Pesaladinne, Rishitha R.
System:
The UNT Digital Library