[HTML][HTML] The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review

VCH Chan, GB Ross, AL Clouthier, SL Fischer… - Applied Ergonomics, 2022 - Elsevier
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a scoping review was …

[HTML][HTML] The Millennium Cohort Study: the first 20 years of research dedicated to understanding the long-term health of US Service Members and Veterans

JN Belding, SF Castañeda, IG Jacobson… - Annals of …, 2022 - Elsevier
ABSTRACT Purpose The Millennium Cohort Study, the US Department of Defense's largest
and longest running study, was conceived in 1999 to investigate the effects of military …

Who tends to answer open-ended questions in an e-service survey? The contribution of closed-ended answers

R Zhou, X Wang, L Zhang, H Guo - Behaviour & Information …, 2017 - Taylor & Francis
This study presents a web survey investigating the effects of gender, age, prior usage
behaviours, and closed-ended answers on response behaviour for open-ended questions in …

Topic modeling for analyzing open-ended survey responses

AS Pietsch, S Lessmann - Journal of Business Analytics, 2018 - Taylor & Francis
Open-ended responses are widely used in market research studies. Processing of such
responses requires labour-intensive human coding. This paper focuses on unsupervised …

Spouses of military members' experiences and insights: qualitative analysis of responses to an open-ended question in a survey of health and wellbeing

CE Runge, M Waller, A MacKenzie, ACL McGuire - PloS one, 2014 - journals.plos.org
Introduction There are few studies on the experiences of spouses of military members, with
most focused on adverse impacts of deployment. Responses to an open-ended question in …

Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification: Recommendations for the Future

S Andalib, SS Solomon, BG Picton, AC Spina… - JBJS Open …, 2025 - journals.lww.com
Background: This study assesses the effectiveness of large language models (LLMs) in
simplifying complex language within orthopaedic patient education materials (PEMs) and …

Comparative nation-branding analysis of Big Data: Focusing on Korea and Japan

H Cha, Y Rhee, CJ Chung - Journal of Global Information …, 2017 - Taylor & Francis
This exploratory research used Google to collect atypical data concerning Korea and
Japan's nation branding and used these to provide a structural description of the …

The development of craft in Australian National Rugby League referees

KA O'Brien, SB Rynne, CJ Mallett - Sport, Education and Society, 2023 - Taylor & Francis
The purpose of this study was to explore the manner in which Australian National Rugby
League (NRL) referees developed their craft. Craftmanship represents an enduring, basic …

Big Data Analyses of Korea's Nation Branding on Google and Facebook.

CJ Chung, Y Rhee, H Cha - Korea Observer, 2020 - search.ebscohost.com
Big Data researchers have typically focused on images, trends, risk management,
storytelling tools, and marketing. However, research into nation branding content …

The Rising Sun Flag at the Olympics: Determining South Koreans' Perspectives Using Semantic Network Analysis

J Choi, K Park - SAGE Open, 2023 - journals.sagepub.com
The political conflicts between South Korea (from now on, Korea) and Japan occurred
whenever the Rising Sun Flag (RSF) appeared at sporting events. This study investigates …