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  1. 1121

    Assessment and recalibration of seventeen lung cancer risk prediction models in approximately one million Chinese population utilising healthcare big data: a retrospective cohort a... by Ziqing Ye, Yexiang Sun, Yueqi Yin, Liya Liu, Miao Cui, Longyao Zhang, Yuantao Hao, David C. Christiani, Hongbo Lin, Peng Shen, Yongyue Wei

    Published 2025-05-01
    “…Summary: Background: A number of lung cancer prediction models have been developed worldwide. However, there have been limited validation studies conducted specifically on Chinese populations. …”
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    Article
  2. 1122
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  4. 1124

    A Comparative Study Investigating the Impact of Group Singing on Social-Emotional Competencies and Academic Burnout in College Students by Xin Jiang

    Published 2025-03-01
    “…Participation in group music activities can promote the development of social-emotional competencies (SEC) while decreasing burnout. …”
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  5. 1125
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  7. 1127

    Sustainable nutrition perceptions and professional recommendations of Turkish nutrition and dietetics students: a qualitative focus group study by Neslihan Öner, Aynur Çetinkaya, Hasan Durmuş, Elif Kocaağalar Akince, Yağmur Yaşar Fırat, Arda Borlu

    Published 2025-07-01
    “…Methods Using a qualitative research design, data were collected through focus group interviews conducted between September and October 2022. …”
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  8. 1128

    Application of educational data mining in subject learning at university by Irina A. Kotiurova

    Published 2024-12-01
    “…However, the described examples of practical use of educational data analysis not for university management, but for specific subject teaching are yet limited. …”
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    Article
  9. 1129

    Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

    Published 2022-01-01
    “…The literature search was performed in the PubMed/MEDLINE databases covering the period from 2000 to 2020 (using groups of keyphrases: "machine learning", "laboratory data", "clinical events", "prediction diseases"), CyberLeninka ("machine learning", "laboratory data", "clinical events", "prediction diseases" Russian keyphrases combinations) and Papers With Code ("clinical events", "prediction diseases", "electronic health record"). …”
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  10. 1130
  11. 1131

    DEVELOPMENT OPPORTUNITIES OF POLISH FARMS by Monika Juchniewicz, Łukasz Podstawka

    Published 2021-07-01
    “…Thestudy refers to the period between 2015 and 2019 and concerns data regarding farms run by natural persons conducting agricultural accounting within the Polish FADN. …”
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  12. 1132

    DEVELOPMENT OPPORTUNITIES OF POLISH FARMS by Monika Juchniewicz, Łukasz Podstawka

    Published 2021-07-01
    “…Thestudy refers to the period between 2015 and 2019 and concerns data regarding farms run by natural persons conducting agricultural accounting within the Polish FADN. …”
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    Article
  13. 1133

    Analyzing the quality evaluation of college English teaching based on probabilistic linguistic multiple-attribute group decision-making by Ruoxi Hu, Qingmao Wang

    Published 2025-12-01
    “…The evaluation combines both quantitative and qualitative methods, focusing not only on the scientific and practical aspects of teaching content but also on the improvement of students' language proficiency and overall development. A scientific evaluation system encourages teachers to refine their teaching methods, enhances teaching efficiency, and provides data support for curriculum optimization, thereby continuously improving the quality of college English teaching to meet students' academic and career development needs. …”
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  14. 1134

    Are people willing to take regular vaccinations? A qualitative study among diverse ethnic groups in Hong Kong. by Yan Li, Ivy Yan Zhao, Wenze Lu, Sau Fong Leung, Daniel Bressington, Lin Yang, Yao Jie Xie, Mengqi Li, Angela Y M Leung

    Published 2025-01-01
    “…Content analysis was used for data analysis. A purposive sample of fifteen participants, aged 20-75, with diverse ethnicities (Chinese, Palestinian, British, French and Indian) joined the study. …”
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  15. 1135

    Organization and support as an essential part of group exercise programs for older people with dementia: an end-user interview study by Kristin Taraldsen, Arnhild J. Nygård, Elisabeth Boulton, Guro Grønningsæter, Marit H. Erland, Nina Waldenstrøm, Linda Johnsen, Gro G. Tangen, Gro G. Tangen, Randi Granbo

    Published 2025-07-01
    “…This study aims to explore the experiences of participants in a group exercise session organized with volunteers both as instructors and as those providing support for the participants.MethodsThis qualitative descriptive study reports on a primary analysis of qualitative data collected through semistructured focus group interviews with 12 people with cognitive impairment or dementia at three group exercise sessions in three municipalities. …”
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  16. 1136
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    The Capacity of Power of Biogas Plants and Their Technical Efficiency: A Case Study of Poland by Dariusz Kusz, Tomasz Nowakowski, Bożena Kusz

    Published 2024-12-01
    “…In order to assess the technical efficiency of agricultural biogas plants under the research, the Data Envelopment Analysis (DEA) method was applied. …”
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  18. 1138

    Comparison of arterial spin labeled MRI (ASL MRI) between ADHD and control group (ages of 6–12) by You Bin Lim, Huijin Song, Hyunjoo Lee, Seungbee Lim, Seo Young Kwon, Jeeyoung Chun, Sujin Kim, Ceren Tosun, Kyung Seu Yoon, Chul-Ho Sohn, Bung-Nyun Kim

    Published 2024-06-01
    “…Pulsed arterial spin labeling (ASL) data were acquired from 157 children with ADHD and 109 children in a control group, all aged 6–12 years old. …”
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    Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study by Stephanie A Kraft, Shaan Chopra, Miriana C Duran, Janet A Rojina, Abril Beretta, Katherine I López, Russell Javan, Benjamin S Wilfond, Margaret Rosenfeld, James Fogarty, Linda K Ko

    Published 2025-02-01
    “…Focus groups included a presentation of narrative slideshow materials developed by the research team depicting mHealth use case examples of asthma in children and fall risk in older adults. …”
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