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  1. 3961
  2. 3962

    Occupational Dysfunction as a Mediator between Recovery Process and Difficulties in Daily Life in Severe and Persistent Mental Illness: A Bayesian Structural Equation Modeling Appr... by Aki Watanabe, Takayuki Kawaguchi, Mai Sakimoto, Yuya Oikawa, Keiichiro Furuya, Taichi Matsuoka

    Published 2022-01-01
    “…Background. This study is aimed at verifying a hypothetical model of the structural relationship between the recovery process and difficulties in daily life mediated by occupational dysfunction in severe and persistent mental illness (SPMI). …”
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  3. 3963

    Perceived Stress and Its Associated Factors during COVID-19 among Healthcare Providers in Ethiopia: A Cross-Sectional Study by Yigrem Ali Chekole, Solomon Yimer Minaye, Semagn Mekonnen Abate, Birhanie Mekuriaw

    Published 2020-01-01
    “…Objective. This study aimed to assess the prevalence of perceived stress and risk factors of coronavirus disease 2019 among healthcare providers in Dilla, Southern Ethiopia. …”
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  4. 3964
  5. 3965
  6. 3966

    Strength characteristics and prediction model of solidified municipal sludge reinforced by dredged silt combined with sodium silicate and polyurethane by Yupeng Cao, Hui Lin, Tong Zong, Xiangbo Xu, Mingdong Li, Xia Bian, Zhiqiang Li

    Published 2024-12-01
    “…Furthermore, the strength prediction model constructed with independent variables such as dredged silt mixing ratio, curing age, water-to-cement ratio, and SP mixing ratio demonstrates better predictability for the strength development of solidified municipal sludge.…”
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  7. 3967

    Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques by Arnar Evgení Gunnarsson, Simona Correra, Carol Teixidó Sánchez, Marco Recenti, Halldór Jónsson, Paolo Gargiulo

    Published 2025-07-01
    “…Diagnosis traditionally relies on expert visual interpretation of histopathological biopsies and radiological imaging, processes that can be time-consuming, subjective and susceptible to inter-observer variability. <b>Methods:</b> In this study, we aim to explore the potential of artificial intelligence (AI), specifically radiomics and machine learning (ML), to support sarcoma diagnosis and grading based on MRI scans. …”
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    Article
  8. 3968

    Development and validation of a machine learning model for prediction of cephalic dystocia by Yumei Huang, Xuerong Ran, Xueyan Wang, Defang Wu, Zheng Yao, Jinguo Zhai

    Published 2025-08-01
    “…Results Among the three machine learning models, the LASSO-based logistic regression model demonstrated the best predictive performance, with an AUC value of 0.914. We found that maternal ischial spine diameter, fetal head circumference-to-maternal height ratio, artificial rupture of membranes, childbirth self-efficacy, and other 11 variables were predictive factors for cephalic dystocia. …”
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  9. 3969

    Prospective randomized controlled trial study of liver function tests in unstable angina risk prediction by Fatimah Mezaal, Sami Mishlish, Kutayba Dawood

    Published 2024-12-01
    “…Socio-demographic and biochemical variables were collected using a systematic questionnaire and standardized measurement procedures. …”
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  10. 3970

    Association between dietary index for gut microbiota and osteoarthritis in the US population: the mediating role of systemic immune-inflammation index by Jiulong Song, Jian Fu

    Published 2025-04-01
    “…However, the role of DI-GM in OA remains unclear. This study thus aims to explore the association between DI-GM and the risk of OA and analyze the mediating roles of systemic immune-inflammation index (SII).MethodsWe utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2018. …”
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    Article
  11. 3971

    Developing risk models for predicting incidence of diabetes and prediabetes in the first-degree relatives of Iranian patients with type 2 diabetes and comparison with the finnish d... by Parisa Khodabandeh Shahraki, Awat Feizi, Sima Aminorroaya, Heshmatollah Ghanbari, Majid Abyar, Massoud Amini, Ashraf Aminorroaya

    Published 2025-03-01
    “…Background: We aimed to develop risk models for predicting the onset of developing diabetes and prediabetes in the first-degree relatives (FDRs) of patients with type 2 diabetes, who have normal glucose tolerance (NGT). …”
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    Article
  12. 3972
  13. 3973

    Evaluating user satisfaction and engagement in mHealth: Insights from the Integrated Digital Health Engagement Model (IDHEM) by Hind Mashan Alshammari, Reem Iafi Almutairi, Asma Yahya Ghazwani, Ronal Surya Aditya

    Published 2025-07-01
    “…Objective This research aims to assess user satisfaction and the perceived value of the Sehhaty app among residents of Hail City, Saudi Arabia, while also examining how demographic variables influence user engagement. …”
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  14. 3974

    Assessment of Knowledge, Attitude, and Practice Toward Physical Activity and It’s Associated Factor Among Women Attending Antenatal Care at Public Health Institutions in Debre Berh... by Molla Kassa Hailu, Ayele Mammo Abebe, Dagne Belete Gebrye, Muluken Amare Wudu

    Published 2024-10-01
    “…Data were entered, cleaned by Epi data version 3.1 and analyzed by SPSS version 25. The variables which had p -value < .05 and with 95% confidence interval were declared as determine factors of antenatal physical exercise. …”
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  15. 3975

    Morphometric Analysis of Human Occipital Condyle and its Clinical Significance by Shaheen Sajid Abbas Rizvi, Sharadkumar Pralhad Sawant

    Published 2024-12-01
    “…Conclusions: These results confirm the variability in different parameters of occipital condyles. …”
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  16. 3976

    Development of the outdoor personal thermal index (OPTI) for evaluating heat strain risk using personal, observational, geographical, and meteorological data by Zahra Ordudari, Saeid Yazdanirad, Habibollah Dehghan, Mohammadreza Azhdari

    Published 2025-07-01
    “…Estimates were made regarding the metabolic rate and the insulation value of the clothing worn by the subjects, with information on other observational parameters also recorded. …”
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  17. 3977

    Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models by Behnam Amiri-Ramsheh, Sara Sahebalzamani, Reza Zabihi, Abdolhossein Hemmati-Sarapardeh

    Published 2025-07-01
    “…Thus, it is essential to find fast and precise techniques for determining asphaltene precipitation. This research aims to accurately predict asphaltene precipitation values using an extensive databank containing 380 experimental data points. …”
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  18. 3978

    Assessing the associations of inflammatory bowel disease and hepatitis B virus infections with two-sample bidirectional mendelian randomization by Ping Han, Chaohui Wang, Yan Qiu

    Published 2024-12-01
    “…No causal relationship was found between hepatitis B virus infections and IBD and its subtypes (UC and CD) (p values for IVW: 0.189, 0.328, and 0.065, respectively). …”
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  19. 3979

    Methodology for Assessing the Level of Greenhouse Gas Emissions in Agricultural Crops Production by N. I. Dzhabborov, A. P. Mishanov, A. M. Zakharov, A. M. Dobrinov

    Published 2024-09-01
    “…(Research purpose) The study aims to develop mathematical models and methods to assess greenhouse gas emissions in agricultural production. …”
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  20. 3980

    Multilevel analysis of factors associated with suicide attempts: Evidence from 2022/2023 Mozambique Demographic and Health Survey. by Angwach Abrham Asnake, Beminate Lemma Seifu, Bezawit Melak Fente, Hiwot Altaye Asebe, Meklit Melaku Bezie, Yohannes Mekuria Negussie, Zufan Alamrie Asmare, Mamaru Melkam

    Published 2025-01-01
    “…The results of the final model were presented as Adjusted Odds Ratios (AOR) with 95% confidence intervals (CI). Variables were considered statistically significant if their p-value was less than 0.05 in the multivariable analysis.…”
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