Profiling the dynamics of trust & distrust in social media: A survey study by Zhang, Yixuan, Wang, Yimeng, Yongsatianchot, Nutchanon, Gaggiano, Joseph D., Nurul Mubinah, Suhaimi, Okrah, Anne, Kim, Miso, Griffin, Jacqueline A., Parker, Andrea Grimes

“…Furthermore, participants exhibited varying patterns of trust and distrust across demographic characteristics and platforms. Our results also show that current misinformation interventions helped heighten awareness of misinformation and bolstered trust in social media, but did not alleviate underlying distrust. …”
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Chatgpt for english language learning in islamic studies by Nor Yazi, Khamis, Wan Zahidah, Wan Sulaiman

“…Future research should consider broadening the scope to include more institutions, investigating the moderating impacts of demographic factors, and integrating qualitative methodologies to obtain a more comprehensive understanding of the factors impacting technology acceptability in various academic environments.…”
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Small-area population forecasting in a segregated city using density-functional fluctuation theory by Chen, Yuchao, Kinkhabwala, Yunus A., Barron, Boris, Hall, Matthew, Arias, Tomás A., Cohen, Itai

“…Our findings indicate that even without direct access to the underlying agent preferences, DFFT accurately predicts how broader demographic changes at the city scale percolate to small-area populations. …”
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An investigation on consumers' preferences for parcel deliveries: applying consumer logistics in omni-channel shopping by Wang, Xueqin, Wong, Yiik Diew, Shi, Wenming, Yuen, Kum Fai

“…Additionally, socio-demographic factors and product value also influence consumers' preferences. …”
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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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Predicting wealth score from remote sensing satellite images and household survey data using deep learning by Shekhar, Shashank, Singh, Pratibha, Mishra, Rashmi, Kumar, Sunil

“…Our approach demonstrates the prediction of cluster wealth score and establishes the relationship between wealth score obtained from Demographic and Health Survey (DHS) data and remote sensing satellite images of India by calculating Pearson’s correlation coefficient (r2). …”
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Alternative credit scoring for the un(der)banked by Elrakabawy, S

“…A comprehensive empirical comparative demographic analysis of Company X's loan applicant base highlights social aspects (such as gender inequality) and emphasizes a lack and / or low access to finance. …”

Indirect effects of the COVID-19 pandemic: A cause-of-death analysis of life expectancy changes in 24 countries, 2015 to 2022 by Polizzi, A, Zhang, L, Timonin, S, Gupta, A, Dowd, JB, Leon, DA, Aburto, JM

“…Here, we examine the impact of the pandemic on COVID-19 and non-COVID-19 mortality in 24 countries: Australia, Austria, Brazil, Bulgaria, Canada, Chile, Croatia, Czechia, Denmark, England and Wales, Hungary, Japan, Latvia, Lithuania, The Netherlands, Northern Ireland, Poland, Russia, Scotland, South Korea, Spain, Sweden, Switzerland, and the United States. Using demographic decomposition methods, we compare age- and cause-specific contributions to changes in female and male life expectancy at birth in 2019–2020, 2020–2021, and 2021–2022 with those before the COVID-19 pandemic (2015–2019). …”

Evolution of an epidemic: understanding the opioid epidemic in the United States and the impact of the COVID-19 pandemic on opioid-related mortality by Laing, R, Donnelly, C

“…Using data from CDC WONDER, we consider opioid-related deaths grouped by Census Region spanning January 1999 to October 2022 inclusive, and later add on a demographic component with gender-stratification. Through the lens of key events in the opioid epidemic, we build an interrupted time series model to reveal statistically significant drivers of opioid-related mortality. …”

Professional experiences on use of the mental health act in ethnically diverse populations: a photovoice study by Bhui, K, Mooney, R, Joseph, D, McCabe, R, Newbigging, K, McCrone, P, Raghavan, R, Keating, F, Husein, N, The Co-Pact Team

“…They felt voiceless and powerless and unable to challenge stereotypes and poor practice, especially if they were from a similar demographic (ethnicity) as a patient. Interdisciplinary disagreements and mistrust led to more risk-aversive practices. …”

Global burden of Alzheimer’s disease and other dementias attributed to metabolic risks from 1990 to 2021: results from the global burden of disease study 2021 by Zhang, X, Guo, T, Zhang, Y, Jiao, M, Ji, L, Dong, Z, Li, H, Chen, S, Zheng, W, Jing, Q

“…The burden of metabolism-related AD and other dementias was positively correlated with the Socio-Demographic Index (SDI), with higher ASMR and ASDR in high SDI regions but showing more pronounced increases in low and low-middle SDI regions. …”

Predictive factors for diabetes mellitus: insights from complete blood count analysis by Agnes Ayang Kenyang, Nurliyana Juhan, Yong Zulina Zubairi, Nornazirah Azizan, Ho, Chong Mun

“…To identify and evaluate the potential prognostic indicators for diabetes mellitus, this study involved a dataset consisting of 500 entries, comprising demographic information and selected blood cells from the Complete Blood Count (CBC) test results obtained from the Clinical Laboratory Faculty of Medicine & Health Sciences, Universiti Malaysia Sabah. …”
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Exploring motivation for learning using Hertzbergs two factor theory by Ibrahim, Irma Wahyuny, Mohamad Ghazali, Izlin, Syed Abdullah, Sharifah Aflinda, Rahmat, Noor Hanim, Abdul Hamid, Mohd Hafriz, Azhari, Siti Hajar Aisyah

“…Section A has 4 items on demographic profile. Section B has 12 items on satisfiers and section C has 12 items on dissatisfiers. …”
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Knowledge, awareness and perception of human papillomavirus testing among staff in a public university in Malaysia by Yun-Vern, Amanda C, Mazlan, Nor Fadlina, Nizaruddin, Muhammad Haziq, Dasrilsyah, Rima

“…Data on knowledge, awareness, and perception of HPV testing, alongside with socio-demographic factors were collected using online questionnaires. …”
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Effect of transactional analysis intervention on parent-adolescent conflict and emotional regulation among adolescents in Bangladesh by Tanni, Khandaker Tasmina, Zainudin, Zaida Nor, Hassan, Siti Aishah, Yusop, Yusni Mohammad, Asri, Alia Sarah

“…The descriptive analysis described the participants’ demographic profile, including age, gender, education grade, and parental marital status. …”
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Barriers and preferences to antenatal exercise among pregnant women in Kuala Selangor by Md Yunus, Nur Farhana, Abdul Manaf, Rosliza, Shahar, Hayati Kadir, Ismail, Suriani, Jathin, Romizan

“…A self-administered questionnaire was used that included socio-demographic information, barriers, and preferences to practice ANE. …”
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Outdoor education program: assessing student performance, mental health, and teacher well-being by Wei, Shasha, Yang, Xiaoming, Ismail, Mohd H. B., Farizan, Noor H., Samsudin, Shamsulariffin

“…The study looked into how instructors' well-being affected students' well-being and achievement in order to achieve this goal. The demographic group that is focused on consists of teachers, learners from intermediate school, supplementary, and college grades, as well as pertinent student data from various Chinese schools and institutions. …”
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An analysis of pedestrian preferences for wayfinding signage in urban settings: evidence from Nanning, China by Zhou, Jialu, Ujang, Norsidah

“…This study also highlights that the material, color, graphics, and text on signage are key physical attributes influencing the visual preferences of pedestrians. Demographic factors such as age, gender, and professional background also impact these preferences. …”
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Knowledge and practices with standard Precaution in preventing nosocomial Infections among final year degree Nursing and medical students at Universiti sains malaysia. by Ishak, Wan Noor Afiza Wan

“…Moreover, the researcher also wants to compare the association between selected socio-demographic data (type of enrollment of programme and gender) with knowledge and practices of standard precaution in preventing the nosocomial infections among final year nursing and medical students in USM. …”
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Knowledge of patient safety level among undergraduate nursing students at Universiti Sains Malaysia by Jaimit, Adven Tsen Jaimieh

“…The Pearson correlation coefficient test was employed to determine the association between socio-demographic characteristics and patient safety knowledge score. …”
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