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  1. 17281

    Employee Turnover and Education Sector Service Delivery in Local Governments in Uganda: A Case Study of Rubanda District Local Government. by Mucunguzi, Elly

    Published 2024
    “…A Pearson correlation matrix was used to determine the correlations between the predictor factors and the dependent variable at the bivariate level. …”
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    Thesis
  2. 17282

    Effect of Physical Education on Pupils' Motor Skill Development: A Case Study of Hamurwa Primary School Rubanda District. by Bagye, Jassy

    Published 2024
    “…Further research is suggested to explore how community factors influence the motor skill development of pupils.…”
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    Thesis
  3. 17283

    Evaluating the Salary Mismatch Among Secondary School Teachears in Rubanda District. by Atukwase, Brian

    Published 2024
    “…Policy recommendations include standardizing pay scales, increasing education funding, and implementing targeted interventions to support underpaid teachers. …”
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    Thesis
  4. 17284

    The burden of traditional neonatal uvulectomy among admissions to neonatal intensive care units, North Central Ethiopia, 2019: A triangulated crossectional study. by Wubet Alebachew Bayih, Biniam Minuye Birhan, Abebaw Yeshambel Alemu

    Published 2020-01-01
    “…Therefore, this study was aimed at assessing the burden, associated factors and reasons of traditional uvulectomy among neonatal admissions at Debre Tabor General Hospital, North Central Ethiopia, from September 2018 to August 2019.…”
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    Article
  5. 17285

    Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in t... by Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens

    Published 2025-08-01
    “…The overall diagnostic accuracy of CXR with AI-CAD, stratified by different factors, was assessed using a fixed abnormality threshold and mWRD as the standard reference. …”
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    Article
  6. 17286

    Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit by Tong Tong, Yikun Guo, Qingqing Wang, Xiaoning Sun, Ziyi Sun, Yuhan Yang, Xiaoxiao Zhang, Kuiwu Yao

    Published 2025-01-01
    “…This study effectively developed a straightforward and efficient nomogram model to predict the 7-day, 15-day, and 30-day survival probabilities of septic patients with heart failure in the ICU. The implementation of treatment strategies that address the risk factors identified in the model can enhance patient outcomes and increase survival rates.…”
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    Article
  7. 17287

    Sexual and reproductive health knowledge, attitudes and practices among adolescents in rural Thatta, Pakistan: a cross-sectional study by Iqbal Azam, Sarah Saleem, Shiyam S Tikmani, Alijaan Inayat Ali

    Published 2025-04-01
    “…These findings suggest that community awareness programmes should be implemented to improve sexual and reproductive health KAP for both male and female adolescents in Thatta.…”
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    Article
  8. 17288

    Determinants of health facility choice for delivery among women participating in group antenatal care in Machakos county, kenya: A cross-sectional survey by Jefferson Mwaisaka, Pooja Sripad, Melanie Olum, Patricia Owira, Samuel Mwaura, Rhoda Njeru, Daniel Muli, Faith Mutisya, Anne Hyre, Lisa Noguchi, Stephanie Suhowatsky

    Published 2025-08-01
    “…This study sought to understand if and how exposure to and experience of G-ANC, among other factors, influence women’s decisions on which facility to deliver. …”
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    Article
  9. 17289

    Prevalence and predictors of gestational diabetes mellitus in rural Assam: a cross-sectional study using mobile medical units by Subrata Chanda, Vishal Dogra, Najeeb Hazarika, Hardeep Bambrah, Ajit Kisanrao Sudke, Anupa Vig, Shailendra Kumar Hegde

    Published 2020-11-01
    “…The mobile medical units may play a significant role in the implementation of GDM screening, diagnosis, treatment to ensure better maternal and foetal health outcomes in rural Assam.…”
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    Article
  10. 17290
  11. 17291

    One-step ahead: evaluating the efficacy of single-visit rabies pre-exposure prophylaxis against conventional multi-visit protocol: a randomized non-inferiority clinical trial by Aman Dev Singh, Simmi Oberoi, Rohit Batish, Kanwardeep Singh, Maninder Kaur, Shailpreet Kaur Sidhu, Avneet Kaur, Prabhasees Singh

    Published 2025-08-01
    “…Regression analysis indicated no significant influence of demographic factors on antibody levels. The single-visit schedule achieved comparable efficacy with fewer logistical barriers. …”
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    Article
  12. 17292

    Healthcare staff acceptance and satisfaction with automated medication dispensing cabinets: a neural network-based analysis by Abbas Al Mutair, Kawther Taleb, Kawthar Alsaleh, Chandni Saha, Batool Mohammed Alhassan, Mohamed Alsalim, Horia Alduriahem, Adel Alfehaid, Muhammad Daniyal

    Published 2025-08-01
    “…Pearson’s correlation was computed to investigate the correlation between demographic and TAM factors. The Artificial Neural Network (ANN) model was applied to assess the influential factors, and results were declared statistically significant if p < 0.05. …”
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    Article
  13. 17293

    Effects of communication, trust, and respect on shared decision-making: insights from healthcare providers in Chinese public hospitals by Lu Chen, Huijun Chu, Hui Wang, Liang Du, Yumeng Gao, Jie Shen

    Published 2025-06-01
    “…Provider-patient communication and trust were significant factors influencing SDM (p &lt; 0.001), and R-square for regression models were all more than 30%. …”
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    Article
  14. 17294

    Healthcare providers perspectives on HIV-NCD integration to Meet the needs of older adults living with HIV by Jepchirchir Kiplagat, Violet Naanyu, Jemimah Kamano, Rajesh Vedanthan, Sonak Pastakia, Kara Wools-Kaloustian

    Published 2025-08-01
    “…Impeding factors such as lack of guidelines for integration (O), siloed healthcare service delivery (O), inadequate resource allocation for NCDs (O), and perceived increased workload (M) were also highlighted by healthcare providers. …”
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    Article
  15. 17295

    Public Debt Policy and Debt Security in the Context of Post-War Recovery by Serhii Petrukha, Nina Petrukha, Roman Miakota, Dmytro Matsenko

    Published 2025-06-01
    “…All these processes require updating the financial and credit policy principles and implementing long-term financial stability instruments. …”
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    Article
  16. 17296

    Methods for the health technology assessment of complex interventions: a protocol for a scoping review by Tracy Merlin, Abdolvahab Baghbanian, Drew Carter, Shuhong Wang

    Published 2020-11-01
    “…Previous research has established that the HTA of CIs requires multiple factors to be evaluated but there is no agreement on which factors ought always to be considered. …”
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    Article
  17. 17297

    Prevalence of incorrect posture among school adolescents after the COVID-19 pandemic: a large population-based scoliosis screening in China by Yujie Mei, Yi-Fan Lin, Zichao Gong, Bin Yan, Qian Liang

    Published 2025-02-01
    “…Univariate and multivariate logistic regression (LR) models were used to evaluate factors associated with suspected scoliosis. Results During the post-COVID-19 pandemic period, 1,793,787 students participated. …”
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    Article
  18. 17298

    Community health workers for non-communicable diseases prevention and control in developing countries: Evidence and implications. by Gursimer Jeet, J S Thakur, Shankar Prinja, Meenu Singh

    Published 2017-01-01
    “…<h4>Conclusions</h4>Evidence on the implementation of primary prevention strategies using community health workers is still developing. …”
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    Article
  19. 17299
  20. 17300

    Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

    Published 2025-07-01
    “…However, traditional forecasting methods often fail to consider unexpected external factors, such as disease outbreaks and natural disasters. …”
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    Article