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  1. 6621
  2. 6622

    Assessing the Inter-Rater and Inter-Trial Reliability of the NeurOptics Pupillary Light Response-3000 Pupillometer by Deborah A Jehu, Lori A Bolgla, Samantha Armas, Forest Dutton

    Published 2025-02-01
    “…Data for the average and individual trials of each PLR parameter were used to determine inter-rater and inter-trial reliability, respectively. …”
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    Article
  3. 6623

    Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

    Published 2025-03-01
    “…The Chi-Square test was used for feature selection to determine the most important attributes that enhanced the accuracy of the classification. …”
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  4. 6624
  5. 6625

    Exploring the associations between health confidence, self-efficacy, health activation and healthy behaviours in primary school children by Lixia Ge, Joseph Antonio De Castro Molina, Hui Ting Foo, Rochelle Chua, Chin Fung Ong

    Published 2024-12-01
    “…The associations of self-efficacy with both vegetable consumption and physical activity were mediated by health activation, with indirect effect coefficients of 0.33 and 0.23, respectively (both p < 0.05). …”
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  6. 6626

    Intra-Rater Reliability of Pressure Pain Threshold with Different Algometers in Healthy Participants by Alexandre Nunes, Vanessa Leite

    Published 2025-02-01
    “…Objective: The aim of this study was to determine the intra-reliability of pressure pain thresholds (PPTs) measured using a digital algometer with and without a digital screen by different raters at the same time in a pain-free population. …”
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  7. 6627

    Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters by Meishuang Yan, Lu Chen, Wei Hu, Zhihong Sun, Xueguang Zhou

    Published 2025-02-01
    “…Experiments on the RML2016.10a dataset demonstrate a 15.7% improvement in separation efficiency over conventional methods, with robust performance for BPSK and QPSK signals, achieving correlation coefficients above 0.9 and signal-to-noise ratio (SNR) improvements of up to 24.66 dB.…”
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  8. 6628

    Chemometrics-aided surface-enhanced Raman spectrometric detection and quantification of GH and TE hormones in blood. by Annah M Ondieki, Zephania Birech, Kenneth A Kaduki, Peter W Mwangi, Moses Juma, Boniface M Chege

    Published 2025-01-01
    “…The ANN models, trained using PCA scores from blood samples with varied hormone concentrations, achieved high predictive accuracy with coefficients of determination (R² > 87.71%) and low root mean square error (RMSE < 0.6436). …”
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  9. 6629

    Genetic and Agromorphological Characterization of Sesame (Sesamum indicum L.) Genotypes for Dehiscence-Related Traits and Grain Yield Performances by Gazali B. T. A. Sanni, Vincent Ezin, Antoine Abel Missihoun, Quenum Florent, Adam Ahanchede

    Published 2025-01-01
    “…Capsule dehiscence was evaluated using the sun-drying and oven-drying methods at 60°C for 6 hours. The capsule split (ECS, %) and capsule open (ECO, %) were calculated to quantify dehiscence. …”
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  10. 6630

    Evaluating the capacity of tertiary general hospitals in Beijing to prevent and treat respiratory infectious diseases: a delphi study by Tong Hu, Mingyuan Liu, Xin Tian, Youqing Xin

    Published 2024-12-01
    “…The hierarchical analysis method (AHP) was used to determine the weights of the indicators. …”
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    Article
  11. 6631

    Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach by Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I.-Hsuan Lu, Chung-Yen Lin

    Published 2025-05-01
    “…The output from DOCexpress_fastqc is seamlessly formatted with mySORT, a web application that employs a deconvolution algorithm to determine the immune content across 21 cell subclasses. …”
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    Article
  12. 6632

    Transcultural adaptation and psychometric properties of the Spanish version of Participation and Environment Measurement—Children and Youth (PEM-CY) by María Gómez-Vela, Mª Begoña Orgaz Baz, Isabel Vicario-Molina, Eva González Ortega, Marta Badia Corbella

    Published 2025-08-01
    “…Conclusions The Spanish version of the PEM-CY is a valid and reliable tool to determine the participation and associated environmental factors in Spanish children and youth, with and without disabilities. …”
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  13. 6633

    Estimation of the Relative Chlorophyll Content of Pear Leaves Based on Field Spectrometry in Alaer, Xinjiang by Yufen Huang, Zhenqi Fan, Hongxin Wu, Ximeng Zhang, Yanlong Liu

    Published 2025-06-01
    “…The findings indicate that (1) the models developed using the discrete wavelet transform had coefficients of determination (<i>R</i><sup>2</sup>) exceeding 0.65, and their predictive performance surpassed that of other models employing various mathematical transformations, and (2) the model constructed using the L1 scale for the discrete wavelet transform had greater estimation accuracy and stability than models established through traditional mathematical transformations or the high-frequency scale for discrete wavelet transform, with an <i>R</i><sup>2</sup> value of 0.742 and a root mean square error (RMSE) of 0.936. …”
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  14. 6634

    Comparison of Hip Abductor Muscle Composition and Its Age-Related Alterations Between Female Patients with Unilateral and Bilateral Osteoarthritis of the Hip by Tadashi Yasuda, Satoshi Ota, Sadaki Mitsuzawa, Shinnosuke Yamashita, Yoshihiro Tsukamoto, Hisataka Takeuchi, Eijiro Onishi

    Published 2025-05-01
    “…The cross-sectional area ratio of the individual composition to the total muscle was calculated. Correlation coefficients were calculated to determine associations between age and muscle composition variables. …”
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  15. 6635

    Cross-cultural adaptation and validation of the Persian version of the oral health values scale by Kamran Mirzaei, Marjan Khalaji

    Published 2025-02-01
    “…Test-retest reliability and Cronbach’s alpha were used to evaluate the internal consistency of the questionnaire. To determine the adequacy of the sample size, the Kaiser-Meyer-Olkin (KMO) index, with a minimum value of 0.7, Bartlett’s test of sphericity, eigenvalues greater than 1, and the Varimax rotation method were utilized, using SPSS Version 24 statistical software. …”
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  16. 6636

    Stochastic and Percolating Models of Blocking Computer Networks Dynamics during Distribution of Epidemics of Evolutionary Computer Viruses by S. A. Lesko, A. S. Alyoshkin, V. V. Filatov

    Published 2019-06-01
    “…On one hand, this model is based on the use of percolation theory methods, which makes it possible to determine such structural-information characteristics of networks as the dependence of the percolation threshold on the average number of connections per one node (network density). …”
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  17. 6637
  18. 6638

    Urban-rural disparities in skilled birth attendance among women in Ethiopia: Multivariate decomposition analysis. by Tsegereda Abebe Andargie, Emebet Birhanu Lealem, Betelhem Abebe Andargie

    Published 2025-01-01
    “…Thus, this study aims to assess the urban-rural disparity in skilled birth attendance in Ethiopia using the 2019 Ethiopian mini demographic health survey.<h4>Methods and materials</h4>The study was based on data obtained from demographic and health surveys in Ethiopia. …”
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  19. 6639

    Evaluating reliability of the RUST score in diaphyseal Tibia fractures: A collaborative assessment by orthopaedic surgeons and radiologists by Sudhir Shankar Mane, Sindhura Yamajala, Madhavi Latha Vinjamuri N S, Sree Ramya Prathyusha Mitnala

    Published 2024-12-01
    “…Intraclass correlation coefficients (ICC) with 95% confidence intervals (CI) were used to measure the reliability of the RUST score. …”
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  20. 6640

    Risk Prediction of high blood glucose among women (15–49 years) and men (15–54 years) in India: An analysis from National Family Health Survey-5 (2019–21) by Anjan Kumar Karri, Visweswara Rao Guthi, P Sri Sai Githa

    Published 2024-11-01
    “…The risk score for high blood glucose was derived through variable shrinking and by employing regression coefficients obtained from the standard logistic regression model. …”
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