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  1. 13921
  2. 13922

    Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY by Jackson D, Quinton A, Zhang F, Müllerová H, Janson C, Sadatsafavi M

    Published 2025-06-01
    “…Starkie et al proposed an algorithm for mapping the SGRQ to EQ-5D-5L, a preference-based utility measure, in chronic obstructive pulmonary disease (COPD) (Value Health 2011;14:354– 60); only SGRQ total score, its squared value, and sex were included as covariates. We aimed to determine if including additional covariates could improve the performance of this algorithm type and whether amendments were required to extend this mapping to asthma or asthma+COPD.Patients and Methods: SGRQ and EQ-5D-5L were measured from a large, global, prospective, longitudinal study in asthma and/or COPD (NOVELTY; NCT02760329). …”
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  3. 13923

    Multilevel analysis of quality of intrapartum care and its associated factors: evidence from 35 Sub-Saharan African countries demographic and health survey by Enyew Getaneh Mekonen, Mohammed Seid Ali

    Published 2025-02-01
    “…Hence, this study aimed to determine the quality of intrapartum care and identify its associated factors using Demographic and Health Survey data from 35 countries. …”
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  4. 13924

    Water temperature prediction in a subtropical subalpine lake using soft computing techniques by Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi, Wen-Cheng Liu

    Published 2016-04-01
    “…To evaluate the performance of the soft computing techniques, three different statistical indicators were used, including the root mean squared error (RMSE), the mean absolute error (MAE), and the coefficient of correlation (R). Results showed that the GEP had the best performances among other studied methods in the prediction of hourly water temperature at 0, 2 and 3 meter depths below water surface, but there was a different trend in the 1 meter depth below water surface. …”
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  5. 13925

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

    Published 2018-03-01
    “…Statistical analysis was performed using the method of variation statistics for each of a number of values with the calculation of the arithmetic mean value (M), an error arithmetic means value (m), the Student coefficient (T) and the probability of differences at p <0.05. …”
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  6. 13926

    Medication Beliefs and Adherence to Antiseizure Medications by Devender Bhalla, Elham Lotfalinezhad, Fatemeh Amini, Ahmad Delbari, Reza Fadaye-Vatan, Vida Saii, Kurosh Gharagozli

    Published 2020-01-01
    “…The primary objective of our study was to determine the nature of medication beliefs and their association with adherence to antiseizure medications (ASMs) among elderly epilepsy patients. …”
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  7. 13927

    Development and validation of the VAE-NT index: a novel biomechanical parameter for distinguishing subclinical corneal abnormalities by Lanting Yang, Lanting Yang, Lanting Yang, Hui Xu, Hui Xu, Honghu Jiang, Jingyin Zhu, Shihao Chen, Shihao Chen

    Published 2025-07-01
    “…PurposeThe aim of this study is to develop an index for distinguishing between very asymmetric ectasia with normal topography (VAE-NT) eyes and normal eyes, with good performance in validity, reliability, and predictive values.MethodsIn the training dataset, this single-center retrospective study involved 102 healthy eyes and 97 VAE-NT eyes. …”
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  8. 13928

    Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

    Published 2025-03-01
    “…Initially, we employed the Random Forest (RF) regression model that integrated multi-source environmental factors to estimate soil moisture prior to the sowing of winter wheat, achieving an average coefficient of determination (R<sup>2</sup>) of 0.8618, root mean square error (RMSE) of 0.0182 m<sup>3</sup> m<sup>−3</sup>, and mean absolute error (MAE) of 0.0148 m<sup>3</sup> m<sup>−3</sup> across eight soil depths. …”
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  9. 13929

    Is the Existing Measles Vaccination Schedule in the Russian Federation Effective? by O. V. Tsvirkun, A. G. Gerasimova, N. V. Turaeva, N. T. Tikhonova, A. A. Melnikova, A. A. Vatolina

    Published 2025-05-01
    “…For more u For a more in-depth analysis, the years of the increase in the incidence of 2012, 2014, 2019, 2023 and 2024 were selected, when the patterns of involvement of this analyzed group in the epidemic process of measles were most pronounced. The Pearson coefficient was used to determine the correlation.Results and discussions. …”
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  10. 13930

    Cognitive analysis of the development of human resource competencies in line with the Fourth Industrial Revolution by Habib Zare ahmadabadi, Sayed Heidar Mirfakhraddini, Fatemeh Zamzam, somayeh amirhosseini

    Published 2025-03-01
    “…&nbsp; Finally, according to the opinion of the experts, the competencies were prioritized using the intuitive fuzzy TOPSIS method, among the 60 competencies, customer oriention with a relative coefficient of 0.772 , process understanding/management index with a relative coefficient of 0.661, IT skills index with a relative coefficient of 0.66, leadership skills with a coefficient of 0.633 and understanding of information technology security with a relative coefficient of 0.629, were identified as the top five competencies of human resources in line with the industrial revolution 4.0. …”
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  11. 13931

    Phosphorus metabolism in the brain of cognitively normal midlife individuals at risk for Alzheimer's disease by Prodromos Parasoglou, Ricardo S. Osorio, Oleksandr Khegai, Zanetta Kovbasyuk, Margo Miller, Amanda Ho, Seena Dehkharghani, Thomas Wisniewski, Antonio Convit, Lisa Mosconi, Ryan Brown

    Published 2022-12-01
    “…We performed linear regression analysis to determine the relationship between 31P measurements and tracer uptake, and Dunn's multiple comparison tests to investigate regional differences in phosphorus metabolism. …”
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  12. 13932
  13. 13933

    The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024 by Dariusz Tadeusz SKALSKI, Magdalena PROŃCZUK, Kinga ŁOSIŃSKA, Ewelina LULIŃSKA, Joanna MOTOWIDŁO, Petr STASTNY, Adam MASZCZYK, Grzegorz TRYBEK

    Published 2025-06-01
    “…Future research should explore the interplay between genetic predisposition, neuromuscular efficiency, and emerging sports technologies to determine whether further performance breakthroughs are feasible. …”
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  14. 13934
  15. 13935

    Screening tool for the identification of relative energy deficiency in Sport risk: validation of the low energy availability in female questionnaire - Italian version (LEAFQ-ITA) by Cinzia Ferraris, Lenycia de Cassya Lopes Neri, Anna Paola Amoroso, Francesca Bosio, Simona Fiorini, Monica Guglielmetti, Rossella Elena Nappi, Anna Tagliabue

    Published 2025-12-01
    “…The single measurement intraclass correlation coefficient resulted in 0.832 (F = 10.849, df = 105, p < 0.000, 95% confidence interval: 0.762–0.882), which suggests high reliability. …”
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  16. 13936

    Optimasi dan Validasi Metode Penentuan Kadar Asam Glikolat dan Asam Laktat Dalam Krim Menggunakan Kromatografi Cair Kinerja Tinggi by Devi Wulandari, Gusrizal Gusrizal, Titin Anita Zaharah

    Published 2020-02-01
    “…Optimization and Validation of Determination Methods of Glycolic Acid and Lactic Acid in Cream Using High-Performance Liquid Chromatography. …”
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  17. 13937

    Lifestyle factors and urine levels of organophosphorus flame retardants in endometrial cancer: insights from a case-control study by Yu-Che Ou, Fu-Jen Cheng, Wan-Ting Huang, Wen-Chin Lee, Hung-Chun Fu, Chen-Hsuan Wu, Ying-Yi Chen, Kuo-Chung Lan, Xuan-Ping Liou, Hao Lin, Chia-Te Kung

    Published 2024-11-01
    “…Spearman’s rank correlation coefficients between the concentrations of the parent compounds and their metabolites were calculated. …”
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  18. 13938

    Adaptive spatial-channel feature fusion and self-calibrated convolution for early maize seedlings counting in UAV images by Zhenyuan Sun, Zhenyuan Sun, Zhenyuan Sun, Zhi Yang, Zhi Yang, Yimin Ding, Yimin Ding, Boyan Sun, Boyan Sun, Saiju Li, Saiju Li, Zhen Guo, Zhen Guo, Lei Zhu, Lei Zhu

    Published 2025-02-01
    “…Specifically, RC-Dino achieved improvements of 16.29% in Average Precision (AP) and 8.19% in Recall compared to the DINO model. Our method also exhibited superior coefficient of determination (R²) values across different datasets for seedling counting. …”
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  19. 13939
  20. 13940

    Chemokine levels predict progressive liver disease in Down syndrome patients with transient abnormal myelopoiesis by Tadamune Kinjo, Hirosuke Inoue, Takeshi Kusuda, Junko Fujiyoshi, Masayuki Ochiai, Yasushi Takahata, Satoshi Honjo, Yuhki Koga, Toshiro Hara, Shouichi Ohga

    Published 2019-08-01
    “…It is impossible to determine the patients who are at high risk of progressive liver disease and leukemic transformation. …”
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