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  1. 14481

    AGB carbon stock analysis in the Indigenous agroforestry of the Ecuadorian Amazon: Chakra and Aja as Natural Climate Solutions by Paulina Álava-Núñez, Bolier Torres, Miguel Castro, Marco Robles

    Published 2025-04-01
    “…The mitigation capacity of Chakras and Ajas is under-researched, leaving a gap in understanding their characteristics and potential to mitigate climate change. …”
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    Article
  2. 14482

    “OEDIPUS THE KING” BY SOPHOCLES IN THE IMMANENT INTERPRETATION OF EMIL STAIGER by Oleh А. Radchenko

    Published 2021-06-01
    “…It is noted that the researcher distinguishes the work of Sophocles from a number of “tragedies of fate”, recognizing the oracle as a core element of dramatic tension creation. …”
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  3. 14483

    Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment... by Nicole K Richards, Christopher P Morley, Martha A Wojtowycz, Erin Bevec, Brooke A Levandowski

    Published 2022-01-01
    “…Though this analysis may be limited by manual coding error and researcher biases, we avoided coding exhaustion via 1-hour coding periods and validated reliability through intercoder kappa scores.…”
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  4. 14484

    Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review by Kostas Bardis, Nicolas P. Avdelidis, Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Henrique Fernandes

    Published 2025-03-01
    “…Current aircraft inspection methods still need to be fully automated, making early detection and precise sizing of defects difficult. Researchers have expressed concerns about current aircraft inspections, citing safety, maintenance costs, and reliability issues. …”
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    Article
  5. 14485
  6. 14486

    Global 30 m seamless data cube (2000–2022) of land surface reflectance generated from Landsat 5, 7, 8, and 9 and MODIS Terra constellations by S. Chen, J. Wang, Q. Liu, X. Liang, R. Liu, P. Qin, J. Yuan, J. Wei, S. Yuan, H. Huang, H. Huang, P. Gong, P. Gong, P. Gong

    Published 2024-11-01
    “…A web-based interface has been developed for researchers to freely access the SDC dataset, which is available at <a href="https://doi.org/10.12436/SDC30.26.20240506">https://doi.org/10.12436/SDC30.26.20240506</a> (Chen et al., 2024).…”
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  7. 14487
  8. 14488

    Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

    Published 2025-04-01
    “…By performing SA, we can better manage risks associated with uncertain inputs and make more informed decisions based on the model’s outputs. In recent years, researchers have developed advanced algorithms based on the analysis of variance (ANOVA) technique for computing numerical sensitivity indicators. …”
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  9. 14489
  10. 14490

    Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

    Published 2025-01-01
    “…MASE was 3.91 and SMAPE was 1.59, meaning that a very minimal percentage error existed within the forecast. The MAE value was at 6.34, while the RMSE was 10.22, meaning a relatively low average difference within actuals and the forecasted values. …”
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    Article
  11. 14491

    Passive surveillance of bat-borne viruses in Hungary by Miss Anna Szabó, Dr. Zsófia Lanszki, Dr. Gábor Kemenesi, Dr. Endre Sós, Miss Ágnes Nagy, Dr. Éva Szűts, Dr. Tamás Görföl

    Published 2025-03-01
    “…Methods: Samples were donated mostly by Hungarian bat rehabilitation centres and national park directorates as well as bat workers and researchers. Dead-found or injured/ill bats that died despite of the utmost care were subjected for investigation. …”
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    Article
  12. 14492

    The association between caffeine and alcohol consumption and IVF/ICSI outcomes: A systematic review and dose–response meta‐analysis by Wentao Rao, Yuying Li, Nijie Li, Qingyun Yao, Yufeng Li

    Published 2022-12-01
    “…Material and methods The protocol was registered in the PROSPERO database on May 23, 2021 (registration number: CRD42021256649), and updated on August 4, 2022. Two researchers performed a literature search in the PubMed, Embase, and MEDLINE databases for articles published before July 15, 2022 independently. …”
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    Article
  13. 14493

    Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

    Published 2025-04-01
    “…The developed models offer reliable and cost-effective tools for researchers, policymakers, and stakeholders to effectively predict and manage GHG in agricultural contexts.…”
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  14. 14494

    Machine learning to improve HIV screening using routine data in Kenya by Jonathan D. Friedman, Jonathan M. Mwangi, Kennedy J. Muthoka, Benedette A. Otieno, Jacob O. Odhiambo, Frederick O. Miruka, Lilly M. Nyagah, Pascal M. Mwele, Edmon O. Obat, Gonza O. Omoro, Margaret M. Ndisha, Davies O. Kimanga

    Published 2025-04-01
    “…In Kenya, current testing practices yield a 2.8% positivity rate for new diagnoses reported through the national HIV electronic medical record (EMR) system. Increasingly, researchers have explored the potential for machine learning to improve the identification of people with undiagnosed HIV for referral for HIV testing. …”
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  15. 14495

    Closing the gap while standing still: clinimetric properties of a low-cost balance platform and a user-friendly app for posturography by Tom Vredeveld, John F. Stins, Annelies J. van Vliet, Vincent C.M. Tuinder, Stephan P.J. Ramaekers, Michel W. Coppieters, Annelies L. Pool-Goudzwaard

    Published 2025-02-01
    “…Hereby, it was demonstrated that open-source scientific tools may help researchers to bridge the gap between scientific findings and clinical use of posturography.…”
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  16. 14496

    The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

    Published 2019-03-01
    “…Therefore, further researches may be carried out to investigate the effective parameters for predicting bed load in different hydraulic conditions using intelligent methods. …”
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  17. 14497

    Numerical simulation and field verification of high-pressure sour natural gas erosion within wellhead skid-mounted choke manifold by Zhaoqian LUO, Xingping TIAN, Huanhuan WANG, Bo1 WANG, Zhouyu PENG, Kexi LIAO, Guoxi HE, Hanyu ZHONG

    Published 2024-06-01
    “…It is suggested to conduct H2S corrosion experiments under different gas pressures and velocities in further researches for more accurate prediction of erosion rate.…”
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  18. 14498

    An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance by Samir K. Safi, Sheema Gul

    Published 2024-10-01
    “…Researchers using machine learning methods for classification can face challenges due to class imbalance, where a certain class is underrepresented. …”
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  19. 14499

    DENTAL STATUS IN PATIENT WITH TEETH DISKOLORATION by I.V Zhyvotovskyy, Yu.I. Sylenko, M.V. Khrebor

    Published 2018-03-01
    “… One of the important problem of orthopedic prosthetics is aesthetic dental treatment with permanent discoloration. A number of researchers found that the the frequency of teeth discoloration in young patients is about 89%. …”
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  20. 14500

    Therapeutic Efficacy of Moxibustion with Seed-Sized Moxa-Cone at Jing Acupoint on Limb Spasticity after Stroke: A Meta-Analysis by ZHANG Jinfei, JIANG Jiahui, TANG Jiqin

    Published 2023-08-01
    “…Measurement data were expressed by mean difference (MD) and standardized mean difference (SMD) with 95% confidence interval (CI), and enumeration data were expressed by odds ratio (OR); SAS studio software was used to calculate the effect size (logrr) and standard error (selogrr) of ordinal data based on the cumulative odds model. …”
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