Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model (open access)

Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model

Article studies information and communication technology (ICT) in tertiary education. This article is part of the special collection: Educational Psychology & Counseling, Educational Psychology.
Date: December 21, 2020
Creator: Spector, J. Michael; Islam, A. Y. M. Atiquil; Gu, Xiaoqing & Crook, Charles
System: The UNT Digital Library
A Europium-Based Optical Sensor for the Detection of Carbon Dioxide and Its Application for a Fermentation Reaction (open access)

A Europium-Based Optical Sensor for the Detection of Carbon Dioxide and Its Application for a Fermentation Reaction

Article discusses a new europium-based complex, K[Eu(hfa)4] with hfa = hexafluoroacetylacetonate is synthesized and its structure confirmed via X-ray crystallography. Based on the data collected, a highly stable, brightly red-emissive Eu(III) complex with the ability to differentiate concentrations of CO2 in solution is hereby developed and characterized with benefits for various CO2 sensing applications.
Date: December 21, 2022
Creator: Benton, Erin N.; Rajitha Perera, Nawagamu A. K.; Nesterov, Vladimir N.; Perera, Wijayantha; Omary, Mohammad A. & Marpu, Sreekar
System: The UNT Digital Library
Molecular signatures in the progression of COVID-19 severity (open access)

Molecular signatures in the progression of COVID-19 severity

Authors of the article discuss that to uncover genes and pathways involved in the differential clinical manifestations of COVID-19 they developed a novel gene co-expression network-based pipeline that uses gene expression obtained from different SARS-CoV-2 infected human tissues. Their study shines a new light on genes and their networks (modules) that drive the progression of COVID-19 from moderate to extremely severe condition, which could aid development of new therapeutics to combat COVID-19.
Date: December 21, 2022
Creator: De, Ronika & Azad, Rajeev K.
System: The UNT Digital Library
Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology (open access)

Vector mosquito image classification using novel RIFS feature selection and machine learning models for disease epidemiology

Article proposes a Machine Learning (ML) and Deep Learning based system to detect the presence of two critical disease spreading classes of mosquitoes in order to prevent mosquito-borne infection.
Date: December 21, 2021
Creator: Rustam, Furqan; Reshi, Aijaz Ahmad; Aljedaani, Wajdi; Alhossan, Abdulaziz; Ishaq, Abid; Shafi, Shabana et al.
System: The UNT Digital Library