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    Effects of Creatine Supplementation on the Performance, Physiological Response, and Body Composition Among Swimmers: A Systematic Review and Meta-Analysis of Randomized Controlled... by Dongxiang Huang, Xiaobing Wang, Tomohiro Gonjo, Hideki Takagi, Bo Huang, Wenrui Huang, Qi Shan, Daniel Hung-Kay Chow

    Published 2024-10-01
    “…Eligible studies that investigated the impact of creatine supplementation on swimming time, physiological parameters, and body composition in swimmers were included. For the meta-analysis, a random-effects model was employed to determine the collective effect and assess variations across distinct subgroups defined by swimming time, physiological metrics, and body composition. …”
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  4. 164

    Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

    Published 2025-02-01
    “…Additionally, to handle nonsystematic batch effects, we employ composite quantile regression. By adjusting the distribution of OTUs to be similar based on a reference batch selected using the Kruskal-Walis test method, we consider the variability at the OTU level.ResultsThe performance of the model is evaluated and compared with existing methods using PERMANOVA R-squared values, Principal Coordinates Analysis (PCoA) plots and Average Silhouette Coefficient calculated with diverse distance-based metrics. …”
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  5. 165

    Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

    Published 2025-06-01
    “…Specifically, it evaluated color variations in polyamide aligners due to thermo-oxidation, using the RGB (Red, Green, Blue) color model as a non-invasive indicator. …”
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    The response of the water cycle to landscape configuration and composition in two Chilean basins by Marieta Hernández-Sosa, Mauricio Aguayo, Jorge Hurtado, Ovidio Llompart

    Published 2025-06-01
    “…The PLSR analysis shows that the second component-related landscape metrics of young plantations explain the highest percentage of variation in hydrological components. The results of this research improve our understanding of the effects of landscape configuration and composition on the hydrological cycle and can be used for land planning and water resource management within the basins.…”
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  8. 168

    Research on the Elastic Properties of Deep Rock Composites Under High Pressure by Linmei Li, Xianren Zeng, Yonghong Tan, Qiyuan Xu, Shihuan Liu

    Published 2024-12-01
    “…This paper presents a three-dimensional model of the definitive structure of gypsum, calcite and quartz crystals, which are the primary components of deep rock mass. …”
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  9. 169

    Failure Probability Analysis of Composite Pressure Tanks Using Subset Simulation by Youcef Sid Amer, Samir Benammar, Kong Fah Tee, Zouhir Iourzikene

    Published 2024-11-01
    “…To quantify the effect of the randomness of different parameters on the structural reliability of composite tanks, a sensitivity analysis was performed using different values of coefficients of variation (COV). …”
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  10. 170

    Spectral Variation and Corresponding Changing Mechanism of Suspended Particulate Material Absorption in Poyang Lake during Flood Periods by Yuandong Wang, Xibin You, Lianfang Yu, Lihong Meng, Xiangming Xu, Guangxu Liu

    Published 2018-01-01
    “…The results suggested that, during study periods, Poyang Lake exhibits an overall high level of suspended nonalgal detritus and algal concentration and lower water clarity, showing a strong absorption by total suspended sediments that are closely related with the land-derived nonalgal detritus material which varied significantly with diverse proportions of minerals and organic materials from multiple sources. Due to variations in phytoplankton community pigment composition, concentration, and package effect, there exists a difference between optical absorption capacity on blue (440) and red (675) portions of bands, the former of which had an obvious enhancement due to the increased effect of accessory pigments in suspended phytoplankton particles from July to September. …”
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  11. 171

    Active Noise-Vibration Control using the Filtered-Reference LMS Algorithm with Compensation of Vibrating Plate Temperature Variation by Krzysztof MAZUR, Marek PAWEŁCZYK

    Published 2013-10-01
    “…The plate temperature changes, caused by ambient temperature changes or plate heating due to internal friction, result in varying response of the plate, and may make it significantly different than response of a fixed model. Such mismatch may deteriorate performance of an active noise control system or even lead to divergence of a model-based adaptation algorithm. …”
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  12. 172

    Compositional Data Analysis (CoDA) of Clinopyroxene From Abyssal Peridotites by I. Nishio, K. Itano, P. Waterton, A. Tamura, K. Szilas, T. Morishita

    Published 2022-08-01
    “…We combine this analysis with open‐system melting models to investigate the potential sources of compositional variation. …”
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    Effective Mechanical Property Estimation of Composite Solid Propellants Based on VCFEM by Liu-Lei Shen, Zhi-Bin Shen, Yan Xie, Hai-Yang Li

    Published 2018-01-01
    “…The result indicates that the variations of the volume fraction of inclusions and the properties of the matrix have obvious influences on the effective mechanical properties of a CSP. …”
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  15. 175

    Experimental Study on Triaxial Unloading Failure of Deep Composite Coal-Rock by Xin Li, Hao Li, Zhen Yang, Zhongxue Sun, Jiayu Zhuang, Chongxiao Song, Xue Wang

    Published 2021-01-01
    “…The composite coal-rock models with a composite ratio of 1 : 1 : 1 were tested under different unloading rates or confining pressures. …”
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  16. 176

    Associations between 24-hour movement compositions and cardiometabolic health in children and adolescents: a five-part compositional analysis using data from the International Chil... by Russell R Pate, John J Reilly, Kate Northstone, EMF van Sluijs, Russ Jago, Niels Wedderkopp, R Davey, Luis B Sardinha, Jardena Puder, J Reilly, K Northstone, LB Andersen, S Kriemler, R Jago, J Salmon, G Cardon, Pedro Curi Hallal, Adam Runacres, Zoe A Marshall, Soyang Kwon, Ester Van Slujis, S Anderssen, P Hallal, S Kwon, N Møller, R Pate, JJ Puder, LB Sardinha

    Published 2025-06-01
    “…Time spent for sleep, SED, LPA, MPA and VPA was analysed using a compositional linear regression model.Results The overall PA composition explained between 3.0 and 27.0% of the variance in CMR factors after accounting for age, sex, ethnicity and seasonal variation. …”
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    Assessing variation among the national essential medicines lists of 21 high-income countries: a cross-sectional study by Nav Persaud, Michael Sergio Taglione

    Published 2021-08-01
    “…More than half of the lists (52%) included a medicine that has been globally withdrawn or banned.Conclusion Essential medicines lists of high-income countries are similar to each other, but significant variations in essential medicine list composition and specifically the number of medications included were noted. …”
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  19. 179

    Unveiling Illumination Variations During a Lunar Eclipse: Multi-Wavelength Spaceborne Observations of the January 21, 2019 Event by Min Shu, Tianyi Xu, Wei Cai, Shibo Wen, Hengyue Jiao, Yunzhao Wu

    Published 2024-11-01
    “…The red/blue ratio images reveal that as the Moon enters Earth’s umbra, it does not simply turn red; instead, a blue-banded ring appears at the boundary due to ozone absorption and the lunar surface composition. These findings significantly enhance our understanding of atmospheric effects on lunar eclipses and provide crucial reference information for the future modeling of lunar eclipse radiation, promoting the integration of remote sensing science with astronomy.…”
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  20. 180

    Analytical Study of Stud Shear Connector Behavior in Steel–UHPC Composite Structures by Wei Du, Zhijian Hu, Zhi Zhou

    Published 2024-11-01
    “…The proposed analytical model effectively captures variations in stud diameter and concrete elastic modulus, providing a load–slip curve with broader applicability than traditional empirical formulas. …”
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