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  1. 15001

    Risk factors for venous thromboses in patients with rheumatoid arthritis by M. A. Satybaldyeva, T. M. Reshetnyak, N. V. Seredavkina, S. I. Glukhova, E. L. Nasonov

    Published 2019-01-01
    “…Objective: to determine risk factors (RFs) for venous thromboembolic events (VTE) in patients with rheumatoid arthritis (RA).Subjects and methods: The investigation enrolled 374 patients (311 women and 63 men) with a reliable diagnosis of RA who met the 2010 ACR/EULAR classification criteria. …”
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    Article
  2. 15002
  3. 15003

    Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap by María I. González Pérez, Bastian Faulhaber, Mark Williams, Joao Encarnaçao, Pancraç Villalonga, Carles Aranda, Núria Busquets

    Published 2024-12-01
    “…As such, determining the age of female mosquitoes is of significant interest for vector-borne diseases surveillance and control programs. …”
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    Article
  4. 15004

    Reliability of Pain Thresholds and Exercise-Induced Hypoalgesia Following 45-Degree Roman Chair Exercise by Kaitlyn M. Lyons, Matt S. Stock, William J. Hanney, Abigail W. Anderson

    Published 2025-04-01
    “… # Purpose The purposes of this study were to determine the reliability of heat pain threshold (HPT) and pressure pain threshold (PPT) measures, examine local and systemic EIH effects after a 45-degree Roman chair exercise, and determine if EIH was produced reliably between sessions…”
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  5. 15005

    A Clinical Study for the Development of a Bee Venom Allergy Diagnostic Kit by Jun-Sang Yu, Min-Jeong Kim, Chang-Woo Seon, Hee-Jun Na, Jae-Wan Jung, Yun-Suk Lee

    Published 2025-06-01
    “…Methods: Thirty volunteers, who were informed about the study, agreed to participate; one had an adverse reaction to the skin test. …”
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    Article
  6. 15006

    Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers by Daniel Marti-Dafcik, Hugh G. A. Burton, David P. Tew

    Published 2025-02-01
    “…In a basis of Slater determinants, the representation of energy eigenstates of systems with N strongly correlated electrons requires a number of determinants that scales exponentially with N. …”
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  7. 15007

    ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions by Pavan Kumar S, Nirav Pravinbhai Bhatt

    Published 2025-08-01
    “…ThermOptCOBRA also facilitates efficient loop detection and removal from flux distributions, improving predictive accuracy across flux analysis methods. …”
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  8. 15008

    Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy by Elizabeth P. Holmes, Max C. Gamill, James I. Provan, Laura Wiggins, Renáta Rusková, Sylvia Whittle, Thomas E. Catley, Kavit H. S. Main, Neil Shephard, Helen. E. Bryant, Neville S. Gilhooly, Agnieszka Gambus, Dušan Račko, Sean D. Colloms, Alice L. B. Pyne

    Published 2025-07-01
    “…Our pipeline uses deep-learning methods to trace the backbone of individual DNA molecules and identify crossing points, efficiently determining which segment passes over which. …”
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    Article
  9. 15009

    Effects of measurement errors on relationships between resting-state functional connectivity and psychological phenotypes by Tomosumi Haitani, Yuki Sakai, Saori C. Tanaka

    Published 2025-08-01
    “…Factor scores of RSFC enhanced the coefficients of determination under some conditions. …”
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    Article
  10. 15010

    The Carcinologic Handicap Index: translation and cross-cultural adaptation to the Arabic language by Saad Elzayat, Mohamed Mohamed Hussein, Ahmed Ebeed, Sobhy Khaled, Mohamed E. El-Deeb

    Published 2025-08-01
    “…Statistical analyses involved the use of intraclass correlation coefficients (ICC) to assess test–retest reliability, and Cronbach’s alpha to determine internal consistency. …”
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  11. 15011

    Microleakage - The Main Culprit in Bracket Bond Failure? by Ioana Roxana Bordea, Adina Sîrbu, Ondine Lucaciu, Aranka Ilea, Radu Septimiu Câmpian, Doina Adina Todea, Teodora Gabriela Alexescu, Maria Aluaș, Corina Budin, Andreea Simona Pop

    Published 2019-05-01
    “…Moreover, different thermal expansion coefficients between the enamel, the adhesive, and the bracket bases will cause repeated expansion and contraction, adding more stress to the bonding strength. …”
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    Article
  12. 15012

    Application of the wavelet transform in problems of searching for a damaged connection with a single-phase earth fault according to SV-stream data by A. O. Paramzin, S. Yu. Dolinger

    Published 2024-10-01
    “…Interpolation of SV-flow data. Determination of effective values of higher harmonic currents by wavelet coefficients.Results and discussion. …”
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    Article
  13. 15013

    INFLUENCE OF THE GARNET CONCENTRATION OF METAMORPHIC ROCKS ON THE FORMATION OF LATERITIC MATERIALS AND THE VARIATION GEOTECHNICAL PARAMETERS IN ROAD BUILDING: CENTER REGION OF CAME... by Alain Justin Menye, Michel Mbessa, Paul Bilong

    Published 2024-03-01
    “…Thus, GL can be used gradually in sub-base for T2, T3, T4 traffic and base for T1, T2 traffic. The Multiple Determination Coefficients (MCD) are 0.966 with R2 = 0.933 for γdopm, 0.743 with R2 = 0.552 for ω (%) and 0.961 with R2 = 0.924 for CBR according to Cg and %fines. …”
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  14. 15014

    Relative Contribution to Predicting Components of Marital Satisfaction of Older Adults in Urmia City and Its Correlation with Lifestyle in the COVID-19 Pandemic: A Cross-Sectional... by Jamileh Amirzadeh-Iranagh, Sima Ghorbanzadeh, Yeganeh Dadashzadeh-Sangary, Parsa Javanmard

    Published 2025-01-01
    “…Methods: In this descriptive-analytical and cross-sectional correlational study, 220 married elderly living in Urmia were selected through cluster sampling. …”
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  15. 15015

    Systematic Literature Review: Identifying Key Variables and Measuring Maximum Loan Limits by Algies Rifkha Fadillah, Mohamad Nurkamal Fauzan

    Published 2024-12-01
    “…This systematic literature review aims to identify key variables and measurement methods for determining maximum credit loan limits, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. …”
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  16. 15016

    Evaluation scale and behavioral model construction for intention to use postpartum exercise rehabilitation mobile application based on user experience by Zhiyuan Wang, Zheng Wang, Rong Deng, Meng Xia, Liming Huang

    Published 2025-05-01
    “…The ultimate goal is to promote the health and well-being of postpartum women while offering a theoretical foundation for future research and design practices in relevant domains.MethodsA mixed-methods approach was employed, integrating qualitative and quantitative research techniques. …”
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  17. 15017

    The Fisher Information Matrix as a Relevant Tool for Sensor Selection in Engine Health Monitoring by S. Borguet, O. Léonard

    Published 2008-01-01
    “…Engine health monitoring has been an area of intensive research for many years. Numerous methods have been developed with the goal of determining a faithful picture of the engine condition. …”
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  18. 15018

    Boosting physical education performance: how attitude and motivation instruments impact student success by Ugi Nugraha, Retni Sulistiyoning Budiarti, Ely Yuliawan

    Published 2025-07-01
    “…The research utilised various analytical techniques, including correlation analysis, prerequisite tests (normality and linearity tests), descriptive statistical analysis, and hypothesis testing (simple correlation, multiple correlation, significance tests—F-tests, and coefficients of determination). Findings/Results: The findings reveal a positive and significant relationship between attitude, motivation, and the PE learning outcomes of high school students in Jambi City. …”
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  19. 15019

    Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

    Published 2025-01-01
    “…To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R2) >0.85. The benchmarks are established with four critical parameters influencing electricity consumption: scale, influent quality, discharge standard and treatment process. …”
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  20. 15020