A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section (open access)

A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section

This article focuses on citation recommendation in the related studies section by applying the term function of a citation context, potentially improving the efficiency of writing a literature review. The citation recommendation strategy can be helpful for valuable citation discovery, semantic scientific retrieval, and automatic literature review generation.
Date: May 8, 2021
Creator: Chen, Haihua
System: The UNT Digital Library
Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea (open access)

Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea

This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.
Date: May 5, 2020
Creator: Park, Han Woo; Park, Sejung & Chong, Miyoung
System: The UNT Digital Library
Severity of U.S. Construction Worker Injuries, 2015-2017 (open access)

Severity of U.S. Construction Worker Injuries, 2015-2017

Article reports on a case-control study of risks factors associated with 4,845 injured workers and their work environments that led to fatal rather than nonfatal injuries during 2015-2017.
Date: May 29, 2019
Creator: Passmore, David L.; Chae, Chungil; Borkovskaya, Victoria; Baker, Rose M. & Yim, Jeong-Ha
System: The UNT Digital Library
Value and Pricing of MOOCs (open access)

Value and Pricing of MOOCs

This article reviews the potential for Massive Open Online Courses (MOOCs) to transform higher education delivery, accessibility, and costs.
Date: May 27, 2016
Creator: Baker, Rose M. & Passmore, David L.
System: The UNT Digital Library
Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success (open access)

Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success

Article asserts that international students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial intelligence (AI) applications. The research paper explores various AI applications, such as personalized learning experiences, adaptive testing, predictive analytics, and chatbots for learning and research.
Date: May 31, 2023
Creator: Wang, Ting; Lund, Brady D.; Marengo, Agostino; Pagano, Alessandro; Mannuru, Nishith Reddy; Teel, Zoƫ A. et al.
System: The UNT Digital Library