Teenagers and videoconference fatigue: a preliminary analysis from an affordance-based approach by Lee, Chei Sian, Li, Benjamin Junting, Wu, Qian

“…Specifically, the objectives are to examine if (a) VC affordances (visibility, information, and availability), and (b) demographic profiles (age and gender) have effects on VCF among teenagers. …”
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An interdisciplinary perspective on social and physical determinants of seismic risk by Lin, K.-H. E., Chang, Y.-C., Liu, G.-Y., Lin, T.-H., Yeh, C.-H., Chan, Chung-Han

“…In the context of the 1999 Chi-Chi earthquake in Taiwan, this study constructs three statistical models to test different determinants that affect disaster fatality at the village level, including seismic hazard, exposure of population and fragile buildings, and demographic and socioeconomic vulnerability. The Poisson regression model is used to estimate the impact of these factors on fatalities. …”
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China's expectations for university students' employment outlook: A qualitative analysis based on employment policy documents by Zhang, Ziran, Hasan, Ahmad

“…-China trade war, COVID-19, and demographic shifts, graduates in China face growing employment pressures. …”
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Gaps In Primary Care And Health System Performance In Six Latin American And Caribbean Countries by Macinko, James, Guanais, Frederico C., Mullachery, Pricila, Jimenez, Geronimo

“…The rapid demographic and epidemiological transitions occurring in Latin America and the Caribbean have led to high levels of noncommunicable diseases in the region. …”
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Mobility patterns are associated with experienced income segregation in large US cities by Moro, Esteban, Calacci, Dan, Dong, Xiaowen, Pentland, Alex

“…Interestingly, while the latter is more strongly associated with demographic characteristics, the former is more strongly associated with mobility behavioral variables. …”
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Filipino nursesʼ use of smartphones in clinical settings by Bautista, John Robert Razote

“…To address this research gap, this study provided a ranking on how nurses have used their smartphones for work purposes in clinical settings and identified differences based on demographic and organizational factors. In January to June 2017, a pen-and-paper survey was administered to 517 staff nurses employed in 19 tertiary-level general hospitals in Metro Manila, Philippines. …”
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Using AI / machine learning to solve real world problems by Lok, Ignatius Zhengrong

“…Additionally, the data provided contained obfuscated variables which encoded different categorical data types including Demographic, Real Estate and Commercial Data. We look to address the obfuscated data and the small training set during the preprocessing and feature engineering stage. …”
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A study on social network in Singapore by Wang, Hao

“…Surveys were first conducted to gather the demographic and social behavioral data of the people living in Singapore. …”
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Computer vision and sensor fusion towards better facilities management system for smart buildings by Arumugam, M Logaraj

“…Furthermore, the ever-increasing energy consumption coupled with the cost factor and the immense carbon footprint that Singapore has been facing in this modern era of demographic slowdown and economic restructuring also brings another glaring challenge to this industry. …”
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GEMTraits: A database and R package for accessing and analyzing plant functional traits from the Global Ecosystems Monitoring Network by Shenkin, A, Bentley, L, Asner, G, Diaz, S, Enquist, B, Malhi, Y, Girardin, C

“…This dataset contains a POSTGRESQL database with demographic and functional trait data on trees from 10 1-hectare permanent plots across an elevation transect from 3500m to 200m in SE Peru. …”

Evaluating machine learning for predicting youth suicidal behavior up to 1 year after contact with mental-health specialty care by O’Reilly, LM, Fazel, S, Rickert, ME, Kuja-Halkola, R, Cederlöf, M, Hellner, C, Larsson, H, Lichtenstein, P, D’Onofrio, BM

“…Using 209 predictors across domains (e.g., clinical, demographic, family, neighborhood, social) identified from national registers, we applied standard logistic regression, regularized logistic regression, and machine-learning algorithms (i.e., random forests, gradient boosting, support vector machines). …”

Factors influencing visitors' perception on congestion in Giant Panda Conservation Centre (GPCC), Zoo Negara by Lim, Sin Yun

“…Besides that, it also aimed to study the socio-demographic variables in GPCC. The variables were measured using a four points Likert scale through questionnaire survey of 250 respondents. …”
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Constipation and quality of life among non-academic staffs in school of health science, Universiti Sains Malaysia by Sonny, Damia Batrisyia Mohd

“…This study aims to assess the prevalence of constipation, the level of QOL, and its association between constipation and impact towards QOL, and association between socio-demographic factors and constipation among non-academic staffs. …”
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Perception of mothers towards male nursing students during clinical practice in obstetric ward In Hospital Universiti Sains Malaysia by Yusuf, Siti Nur Hasanah Ahmad

“…The result of this present study revealed that there is no significant association of selected socio demographic factors (age, educational level and gender preference) with the level of mothers’ perception towards male nursing students (p=0.197), (p=0.060) and (p=0.649) respectively.…”
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Knowledge of maggot debridement therapy among medical and surgical nurses in Hospital USM, Kelantan by Khim, Wong Mong

“…The Pearson correlation coefficient test was employed to determine the association between socio-demographic characteristics and MDT knowledge score. …”
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Multivariate normative comparison, a novel method for improved use of retinal nerve fiber layer thickness to detect early glaucoma by Chua, Jacqueline, Schwarzhans, Florian, Wong, Damon, Li, Chi, Husain, Rahat, Crowston, Jonathan G., Perera, Shamira A., Sng, Chelvin C. A., Nongpiur, Monisha E., Majithia, Shivani, Tham, Yih Chung, Thakur, Sahil, Soh, Zhi Da, Cheng, Ching-Yu, Aung, Tin, Fischer, Georg, Vass, Clemens, Schmetterer, Leopold

“…This study assessed whether compensating the RNFL thickness for multiple demographic and anatomic factors improves the detection of glaucoma. …”
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Ethnic differences in knowledge, attitudes, and practices related to dietary salt intake and association with hypertension in Malaysia: a multi-centre cross-sectional study by Chia, Yook Chin, Ching, Siew Mooi, Chew, Ming Tsuey, Devaraj, Navin Kumar, Oui, Jethro Ee Keat, Lim, Hooi Min, Chew, Bee Nah, Mohamed, Mohazmi, Ooi, Pei Boon, Cheng, Maong Hui, Beh, Hooi Chin, Chung, Felicia Fei-Lei

“…This study aimed to evaluate the knowledge, attitudes, and practices (KAP) towards dietary salt intake across ethnicities and determine its association with hypertension. 5128 Malaysian adults recruited from a national blood pressure screening study completed questionnaires on demographics, and KAP related to dietary salt intake. …”

What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…Discussion: These findings provide new insights into developing health communication strategies on social media, particularly targeted toward the youth demographic, enhancing our understanding of effective health information dissemination in digital environments.…”
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Exploring individual user differences in the 2D/3D interaction with medical image data by Schooten, Boris van., Suinesiaputra, Avan., Geest, Rob J. van der., Dijk, Betsy van., Reiber, Johan H. C., Sloot, Peter M. A., Zudilova-Seinstra, Elena V.

“…In this paper, we report results of an empirical study aimed to evaluate whether computer experience and demographic user characteristics would have an effect on the way people interact with the visualized medical data in a 3D virtual environment using 2D and 3D input devices. …”
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Data-driven Home Workspace Design: Interactive DIY Platform Mediating the User and Expert Literature by Yi, Wangli

“…Further test on other demographic groups, such as those who need to focus for long hours professionally at home as well as those who are specifically concerned with mental health issues, is anticipated as the next step for the evaluation of this platform.…”
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