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  1. 121

    Data-driven ethical guidelines for digitized mental health services: principal components analysis by Chinmay Bapat, Snehal Jog

    Published 2025-07-01
    “…Principal components analysis on practitioners/trainees’ data found two meaningful components. …”
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  2. 122

    OPEN DATA: ANALYSIS OF TRENDS by D. A. Kachan

    Published 2018-05-01
    “…The economic and sociocultural effect of the dissemination of state data in an open format is considered. In conclusion, the most topical issues of open data are formulated, which will determine the effectiveness of the development of information technology in the near future.…”
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  3. 123

    Data-Driven Analysis of Causes and Risk Assessment of Marine Container Losses: Development of a Predictive Model Using Machine Learning and Statistical Approaches by Myung-Su Yi, Byung-Keun Lee, Joo-Shin Park

    Published 2025-02-01
    “…This study presents a comprehensive, data-driven analysis of the causes and risks associated with container loss during maritime transport, utilizing incident data from 2011 to 2023. …”
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    Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil by Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Guilherme Dantas Bispo, Vinícius Pereira Gonçalves, Clóvis Neumann, Robson de Oliveira Albuquerque, Carlos Alberto Schuch Bork

    Published 2024-10-01
    “…These tools are crucial in shaping the national policymakers’ strategies and planning decisions. This study utilizes data envelopment analysis (DEA) and bootstrap computational methods to evaluate Brazil’s energy efficiency from 2004 to 2023. …”
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  7. 127

    Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study® by Michael I. Demidenko, Dominic P. Kelly, Felicia A. Hardi, Ka I. Ip, Sujin Lee, Hannah Becker, Sunghyun Hong, Sandra Thijssen, Monica Luciana, Daniel P. Keating

    Published 2022-12-01
    “…Across the multiverse analyses, there was a degree of variability in beta estimates across the environmental variables, and lack of consensus between parent reported and child reported pubertal development for the indirect effects. This study demonstrates the challenge in defining which effects replicate, the nuance across environmental variables in the ABCD data, and the lack of consensus across parent and child reported puberty scales in youth.…”
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  8. 128

    Smart life and sustainable development: a comparative analysis on energy and water efficiency in China and the EU by Ina VIRTOSU, Chen LI

    Published 2024-04-01
    “… Smart life relies on huge volumes of data analysis, which makes data centers become important infrastructure in smart city areas. …”
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  9. 129

    Study on the changes and influencing factors of depression in Chinese women with cancer: an analysis based on CHARLS panel data by Na Wang, Mengran Chang, Shidong Liu, Bing Chen

    Published 2025-01-01
    “…However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.ObjectiveBased on cancer impacts, this study aims to clarify the depressive state, development trends, and influencing factors in Chinese women with cancer, a group particularly susceptible to depression, to provide decision-making references for improving their psychological well-being.MethodsUsing follow-up panel data from five waves of China Health and Retirement Longitudinal Study (CHARLS), Chinese women with cancer who had complete observed values were selected as research subjects. …”
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    Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

    Published 2025-07-01
    “…This study examines the spatio-temporal variability of climatic factors in urban districts, utilizing statistical trend line data to estimate changes over time. The research analysis of temperature, precipitation, and other key climate indicators identifies patterns and trends crucial for sustainable urban development. …”
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  16. 136

    EXAMINING THE INFLUENCE OF LABOR FORCE PARTICIPATION AND ISLAMIC HUMAN DEVELOPMENT INDEX ON POVERTY: A PANEL DATA REGRESSION ANALYSIS by Nabilah Nurjihan, Faizi Faizi

    Published 2024-06-01
    “…The population of interest consists of the six administrative regions in DKI Jakarta for the specified period, and a saturated sampling technique is employed. Panel data regression analysis techniques are utilized to test the secondary data obtained from the Central Bureau of Statistics. …”
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  17. 137

    Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan by Jing Guo, Fumihiko Nakamura, Qiang Li, Yuan Zhou

    Published 2018-01-01
    “…This study aims to assess the efficiency of TOD by applying the data envelopment analysis (DEA) method. The ridership of public transportation is considered as the direct output characteristic of TOD efficiency, and nine indicators of ridership are selected as inputs on the basis of the core concepts of TOD. …”
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  18. 138

    Energy landscape analysis of health checkup data clarified multiple pathways to diabetes development in obese and non-obese subjects by Ryo Ito, Makito Oku, Iwao Kimura, Iwao Kimura, Takayuki Haruki, Takayuki Haruki, Masataka Shikata, Tsuyoshi Teramoto, Daisuke Chujo, Minoru Iwata, Minoru Iwata, Shiho Fujisaka, Yoshiki Nagata, Takashi Yamagami, Makoto Kadowaki, Kazuyuki Tobe, Shigeru Saito, Keiichi Ueda, Keiichi Ueda

    Published 2025-05-01
    “…AimsTo clarify the pathways from a healthy state to the diabetes onset via pre-disease states, we applied energy landscape analysis (ELA) to Specific Health Checkup data in Japan.MethodsThis retrospective and observational cohort study analyzed data from 4,928 males aged 56.0 ± 3.2 years, including 242 individuals with diabetes, over a period of 5.26 ± 3.21 years. …”
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