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  1. 641

    Analysis of Barriers to Rural Waste Management (Case Study: Central District of Urmia County) by Fatemeh Kazemiyeh, Asma Eidi, mehdi motalem

    Published 2023-03-01
    “…To evaluate its reliability, 30 questionnaires were completed and the Cronbach's alpha value was 0.91, which indicated the acceptable reliability of the questionnaire. Data analysis was performed using SPSS software and exploratory factor analysis technique.Results and discussion: The results of factor analysis showed that rural waste management barriers in six groups of educational-cultural barriers (variance dimension 18.13), health-environmental (variance dimension 18.06), knowledge (variance dimension 12.53), environmental (variance dimension 10.96), disposal management (variance dimension 10.24) and equipment (variance dimension 6.92) were classified as 76.84% of the total variance changes related to rural waste management barriers in the study area. …”
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  2. 642

    Predictors of Recurrence After Curative Surgery for Stage I Colon Cancer: Retrospective Cohort Analysis of the Italian Society of Surgical Oncology Colorectal Cancer Network Collab... by Giulia Turri, MD, Luigi Martinelli, MD, Daniela Rega, MD, Nicolò Tamini, MD, Lucia Paiano, MD, Simona Deidda, MD, QuocRiccardo Bao, MD, Laura Lorenzon, MD, PhD, Raffaele De Luca, MD, Caterina Foppa, MD, PhD, Valentina Mari, MD, Giovanni Taffurelli, MD, Arcangelo Picciariello, MD, PhD, Patrizia Marsanic, MD, Leandro Siragusa, MD, Francesco Bagolini, MD, Riccardo Nascimbeni, MD, Gianluca Rizzo, MD, PhD, Sara Vertaldi, MD, Michele Zuolo, MD, Giorgio Bianchi, MD, Lisa Marie Rorato, MD, Rossella Reddavid, MD, PhD, Gaetano Gallo, MD, PhD, Lorenzo Crepaz, MD, Alberto Di Leo, MD, Mario Trompetto, MD, Enrico Potenza, MD, Mauro Santarelli, MD, Nicola de’Angelis, MD, PhD, Francesco Ciarleglio, MD, Marco Milone, MD, PhD, Claudio Coco, MD, Guido Alberto Tiberio, MD, Gabriele Anania, MD, Giuseppe S. Sica, MD, PhD, Andrea Muratore, MD, Donato Francesco Altomare, MD, Isacco Montroni, MD, PhD, Maurizio De Luca, MD, Antonino Spinelli, MD, PhD, Michele Simone, MD, Roberto Persiani, MD, Gaya Spolverato, MD, Angelo Restivo, MD, Nicolò de Manzini, MD, Marco Braga, MD, Paolo Delrio, MD, Giuseppe Verlato, MD, PhD, Corrado Pedrazzani, MD, Adriana Gioia, Cristina Vacca, Dario Parini, Giovanni Tomasicchio, Marcello Calabrò, Bruno Sensi, Filomena Misuriello, Carlo Alberto Schena, Silvia Picotto

    Published 2024-12-01
    “…Results:. Eighty patients developed cancer recurrence (5.0%), of which 90% was systemic relapse. …”
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  3. 643

    Teachers’ perspectives on grouping poorly performing learners in the same classroom by Lebohang Victoria Mulaudzi

    Published 2025-05-01
    “…Thematic analysis was used to code and interpret data, ensuring rigour via an audit trail and iterative theme refinement. …”
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  4. 644
  5. 645

    “The Elder Tree”: An evaluation of Creative Writing Groups for Older People by Theodore Stickley, Michael Craig Watson, Ada Hui, Alessandro Bosco, Blandine French, Basharat Hussain

    Published 2021-01-01
    “…There is much potential for further development of bespoke online groups for this increasing population of older people.…”
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  6. 646

    Data Are Power: Addressing the Power Imbalance Around Community Data with the Open-Access Data4HumanRights Curriculum by Monika Kuffer, Dana R. Thomson, Dianne Wakonyo, Nicera Wanjiru Kimani, Divyani Kohli-Poll Jonker, Enyo Okoko, Rasak Toheeb, Bisola Akinmuyiwa, Mohammed Zanna, Dezyno Imole, Andrew Maki

    Published 2025-02-01
    “…Access to training on data collection, analysis, and visualisation to support the advocacy of vulnerable groups is essential, particularly in the context of increasing human rights challenges such as land rights, adequate housing, conflicts, and climate justice. …”
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    Article
  7. 647

    The Use of Large Language Models for the Analysis of Professional Competencies in the Regional Labor Market of the Republic of Belarus by I. N. Kalinouskaya

    Published 2025-06-01
    “…A methodology for labor market analysis has been developed that integrates traditional big data analysis methods with the capabilities of modern language models.…”
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    Article
  8. 648

    A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

    Published 2025-06-01
    “…Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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  9. 649
  10. 650

    Epidemiology of hepatitis B and C among risk groups in Czechia by Iva Bendlova, Vojtech Simka, Ekaterina Ryzhova, Tereza Schovankova, Ondrej Holy

    Published 2025-05-01
    “…The research employed quantitative methods and descriptive data analysis. A spatial visualization of disease occurrence per 100,000 inhabitants in Czech districts was conducted for the years 2000, 2010, and 2020 to compare disease development and the risk group of IDUs across districts. …”
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  11. 651

    Adaptation variation of easiness on environmental, social, and governance components in the selected sustainability developments by F.R. Sutikno, N.A. Sasongko, I.N. Djarot, H.S. Dillon

    Published 2023-11-01
    “…By employing industry-specific environmental, social, and governance components, this study identifies three distinct groups, enabling the formulation of tailored policies to effectively address the unique needs of each group.CONCLUSION: This study exposes several findings on how companies in Indonesia adopt different components of environmental, social, and governance reports according to their needs, regulations, and analysis complexity. …”
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  12. 652

    Impact of antibiotics on membrane vesicle production in Group B Streptococcus by Macy E. Pell, Cole R. McCutcheon, Jennifer A. Gaddy, David M. Aronoff, Margaret G. Petroff, Shannon D. Manning

    Published 2025-07-01
    “…ABSTRACT Group B Streptococcus (GBS) is an important bacterial pathogen during pregnancy, colonizing up to 35% of pregnant people recto-vaginally. …”
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  13. 653

    Management of Digital Communications with Target Groups by Leading Russian Universities by E. V. Brodovskaya, A. Yu. Dombrovskaya, V. A. Lukushin

    Published 2022-10-01
    “…The method proposed by the authors makes it possible to assess the scale and nature of communication between universities and selected target groups. Based on the data obtained, we have developed recommendations for improving the digital management of universities, increasing the density of connections and the integration of users within the online communities of universities as one of the conditions for effective management of a university brand in the modern network space.…”
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  14. 654

    Energy Efficient Control by the Group of Oil Pumping Stations Operation by Kaniuk G. I., Mezeria A. Yu., Kniazeva V. N., Fursova T. N., Blyznychenko E. N.

    Published 2021-11-01
    “…The experimental data extrapolation was carried out, and, on its basis, the possible economic effect was determined brought by the use of the energy-conserving systems of the controlling the group of pumping systems.…”
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    Exploring study dropout in drug trials for adults with PTSD: insights from a conventional and individual participant data meta-analysis by Simonne L. Wright, Anna Kessler, Marit Sijbrandij, Eirini Karyotaki, Pim Cuijpers, Jonathan Bisson, Kathleen Brady, Sheila M. Dowd, Boadie W. Dunlop, Mark H. Pollack, Barbara O. Rothbaum, Soraya Seedat

    Published 2025-12-01
    “…Background: Dropout rates and factors contributing to dropout in drug and placebo groups in pharmacotherapy trials for posttraumatic stress disorder (PTSD) are not well understood.Objective: This study aimed to examine differences in all-cause study dropouts between drug and placebo groups, using conventional meta-analysis and an exploratory predictor analysis of individual participant data from three trials.Method: We included randomized controlled trials (RCTs) of adults with PTSD, comparing drug monotherapy with placebo. …”
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