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  1. 2341

    HELMET (HEaLth iMpact of E-bikes and e-scooTers) study: Data collection methods and information gathered for the evaluation of the introduction of share-hire schemes [version 2; pe... by James Garbutt, Miranda EG Armstrong, Ben Spencer, Tim Jones, Sabina Sanghera, Ian Philips, Rayne Roberts, Lesley Welch, Ruth Salway, Frank de Vocht, Russell Jago

    Published 2025-08-01
    “…Background This study aimed to collect and summarise information on e-bike and e-scooter use in areas with and without e-bike (EB) and e-bike plus e-scooter (EB+ES) combined share-hire schemes. Methods This study employed a repeated cross-sectional design. …”
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  2. 2342
  3. 2343

    Bio-electrokinetic improvement of deltaic soil by Mohammad Nabizadeh, Abbas Soroush, Seyed Mohammad Fattahi, Abolfazl Eslami

    Published 2025-05-01
    “…Microstructure analyses were conducted on samples, and calcite and vaterite were observed in bio-cemented samples.…”
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  4. 2344
  5. 2345

    Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

    Published 2025-04-01
    “…They offer a continuous perspective that captures subtle dynamics and richer structures compared to discrete representations, thereby preserving essential information and facilitating the more natural modeling of real-world phenomena, especially in sparse or irregularly sampled settings. …”
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  6. 2346
  7. 2347
  8. 2348

    School Context as a Predictor of Student Success in Mathematics by Dragana Radenović, Radovan Antonijević, Daliborka Popović, Fadilj Eminović, Kristina Ivanović

    Published 2025-06-01
    “…The research sample consisted of 600 students attending the 7th grade and 150 mathematics teachers. …”
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  9. 2349

    The effectiveness and cost-effectiveness of the NHS Diabetes Prevention Programme (NHS-DPP): the DIPLOMA long-term multimethod assessment by Peter Bower, Claudia Soiland-Reyes, Carole Bennett, Lisa Brunton, Patrick Burch, Elaine Cameron, Tarani Chandola, Georgia Chatzi, Sarah Cotterill, David P French, Judith Gellatly, Mark Hann, Rhiannon Hawkes, Simon Heller, Fiona Holland, Elizabeth Howarth, Kelly Howells, Evangelos Kontopantelis, Eric Lowndes, Antonia Marsden, Thomas Mason, Emma McManus, Rachel Meacock, Lisa Miles, Manoj Mistry, Elizabeth Murray, Beth Parkinson, Rathi Ravindrarajah, David Reeves, Jamie Ross, Caroline Sanders, Jonathan Stokes, Helen Wallworth, Ruth Watkinson, Vasudha Wattal, William Whittaker, Paul Wilson, Adrine Woodham, Matt Sutton

    Published 2025-04-01
    “…Objective(s) The Diabetes Prevention – Long-term Multimethod Assessment research programme provided a comprehensive assessment of the delivery of the National Health Service Diabetes Prevention Programme and its effectiveness and cost-effectiveness. Design Mixed-methods research including qualitative methods, observations, patient surveys and secondary analysis of administrative and survey data using statistical and econometric methods. …”
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  10. 2350

    The Main Directions of Improving the Methodology for the Application of Advanced Information and Communication Technologies in the Statistical Activities of the Republic of Uzbekis... by I. E. Zhukovskaya

    Published 2020-11-01
    “…The goal is to develop scientifically grounded directions for improving the methodology for the application of advanced information and communication technologies in the statistical activities of the Republic of Uzbekistan in the context of the formation of the digital economy.Materials and methods. In the process of developing the main directions for improving the methodology for the application of information and communication technologies in the statistical activity of the Republic of Uzbekistan, comparative, systemic, economic and statistical, SWOT analysis, methods of monographic research, questionnaire survey, statistical sampling, grouping, comparison, induction, deduction, optimization method, as well as methods of working with WEB-sites, computer networks and specialized software products were used.Results. …”
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  11. 2351

    High risk HPV persists after treatment of genital papillomavirus infection but not after treatment of cervical intraepithelial neoplasia by Anders Strand, Eric Wilander, Ingeborg Zehbe, Eva Rylander

    Published 1997-02-01
    “…Six to 12 months after clinical clearance of HPV infection, 39 (48%) of the women showed detectable HPV DNA in cell samples from the cervix. Of these, 26 (67%) were found to harbor high risk HPV. six (15%) low risk, and seven (18%) either had more than one HPV type or HPV that could not be classified. …”
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  12. 2352

    Using combustion analysis to simultaneously measure soil organic and inorganic carbon by Tiffany L. Carter, Crystal Schaecher, Steve Monteith, Richard Ferguson

    Published 2024-11-01
    “…For calcareous samples, mid-infrared (MIR) spectral analysis demonstrated TRDC method as slightly more accurate than legacy KSSL methods for estimating SOC and SIC.…”
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  13. 2353

    Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization by Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

    Published 2025-04-01
    “…The results demonstrate that PINN-CS achieves superior numerical accuracy and computational efficiency compared to traditional fPINN and Monte Carlo fPINN methods. Furthermore, the extended use to problem areas with irregular geometries and difficult-to-define boundary conditions makes the method immensely practical. …”
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  14. 2354
  15. 2355

    Integrating work placements into entrepreneurial education: A student perspective by Chanté Botha, Daniella Teles Amaral

    Published 2025-04-01
    “…Data were analysed using SPSS, which included demographic statistics and statistical analyses comprising one-sample t-tests and paired-sample tests. Results: Students showed a preference for innovative teaching methods over traditional approaches. …”
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  16. 2356

    Strongyloides stercoralis prevalence and diagnostic efficacy of an IgG4 rapid test in an eosinophilic population in Khuzestan Province, southwestern Iran by Alireza Ashiri, Abdollah Rafiei, Rahmah Noordin, Nor Suhada Anuar, Ali Teimoori, Bijan Ansari-Moghaddam, Molouk Beiromvand

    Published 2025-07-01
    “…Among copro-positive patients, 30 cases were followed up at least 3 months after treatment using the same methods. Results Of the 373 participants who submitted stool samples, coprological methods identified 95 positive cases, with culture proving to be more sensitive than direct smear (24.9%, 93/373 versus 7.5%, 28/373). …”
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  17. 2357
  18. 2358

    Bankruptcy Risk Factors of Russian Companies by A. A. Zhukov, E. D. Nikulin, D. A. Shchuchkin

    Published 2022-12-01
    “…For the study, one of the machine learning methods was used – the random forest method. The sample consists of companies from seven industries, including manufacturing, retail, construction, electric power, mining, agricultural production, and water supply, as well as other industries, which include companies in education, healthcare, agriculture, and hospitality. …”
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  19. 2359

    The Validity and Superiority of the Anfosi Exegesis of the Noble Quran by Sayyed Reza Moadab, Asghar Mehri

    Published 2018-05-01
    “…In the belief of the Islamic gnostics, the Anfosi (inward) exegesis of the holy Quran is the best method for the exegesis of the Quran verses and understanding the Quranic meanings. …”
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  20. 2360

    Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

    Published 2019-07-01
    “…The model, described below, has been modified due to the authors’ desire to improve it, as well as dictated by the specifics of the housing and utility companies: a list of key indicators has been developed that affect not the financial  result, but, consequently,  the financial  condition of companies in this sector of the Russian  economy;  the number  of input factors characterizing the input sample was increased,  each direct factor or group of direct factors was supplemented  with an indirect factor; direct and indirect factors explaining the same processes are combined  into clusters that influence  the  corresponding  neuron;  the  number  of neurons  in  the output layer has been expanded, the number of classes has been increased, the data are classified by means of the neural network in more detail; in the course of the program, it is possible to select the period to which  the input data (month, quarter,  half year,  year) belong. …”
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