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  1. 321

    Association between Serum Uric Acid Levels and Sleep Variables: Results from the National Health and Nutrition Survey 2005–2008 by R. Constance Wiener, Anoop Shankar

    Published 2012-01-01
    “…We found that snoring more than 5 nights per week, daytime sleepiness, and an additive composite score of sleep variables were associated with high serum uric acid in the age- , sex-adjusted model and in a multivariable model adjusting for demographic and lifestyle/behavioral risk factors. …”
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  2. 322

    Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

    Published 2025-04-01
    “…Machine learning was applied to optimize environmental conditions, with random forest (RF) identified as the most effective model. A novel metric, W_new, combining performance and error metrics, facilitated robust model evaluation and hyperparameter tuning. …”
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  3. 323

    PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

    Published 2020-01-01
    “…The reliability of composite laminates is analyzed by universal generating function method. …”
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  4. 324
  5. 325

    Radiomic‐based biomarkers: Transforming age and body composition metrics into personalized age‐informed indices by Radin Alikhani, Steven R. Horbal, Amy E. Rothberg, Manjunath P. Pai

    Published 2024-12-01
    “…Since the conventional models of kidney function are correlated with age and body composition, the radiomic biomarkers representing age‐related changes in body composition may also serve as potential new imaging biomarkers of kidney function for personalized dosing. …”
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  6. 326

    Mechanical assessment for enhancing hybrid composite performance through silane treatment using RSM and ANN by S. Jothi Arunachalam, R. Saravanan, T. Sathish, Jayant Giri, Mohammad Kanan

    Published 2024-12-01
    “…RSM and Analysis of Variance (ANOVA) were applied to explore the relationships between these variables and their effects on composite properties. …”
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  7. 327

    Is intraindividual reaction time variability an independent cognitive predictor of mortality in old age? Findings from the Sydney Memory and Ageing Study. by Nicole A Kochan, David Bunce, Sarah Pont, John D Crawford, Henry Brodaty, Perminder S Sachdev

    Published 2017-01-01
    “…Intraindividual variability of reaction time (IIVRT), a proposed cognitive marker of neurobiological disturbance, increases in old age, and has been associated with dementia and mortality. …”
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  8. 328
  9. 329

    Determination of The Mineral Composition of Foam-Mat Dried Ngu Powder Using Response Surface Methodology by Maduebibisi Ofo Iwe, Emmanuel Uduma, Anna Ngozi Agiriga

    Published 2024-06-01
    “…Regression models showed that the experimental variables had significant (p<0.05) effects on the dry Ngu powder's iron, zinc, calcium, sodium, phosphorus, potassium, and magnesium contents. …”
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  10. 330

    Correlations Between Body Composition Indicators and Performance in Sprint and Agility Tests Among Handball Referees by Ștefan CIOBANU, Beatrice Aurelia ABALAȘEI

    Published 2025-07-01
    “…Objectives: This study aimed to investigate the correlations and regression models between body composition variables and performance in sprint and agility tests among handball referees. …”
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  11. 331

    Body composition is associated with changes in health-related quality of life in patients with knee and/or hip osteoarthritis by Jérémie Sellam, Francis Guillemin, Bernard Mazières, Anne-Christine Rat, Patrice Fardellone, Willy Ngueyon Sime

    Published 2025-01-01
    “…Body composition variables were fat mass index (FMI (kg/m²)), percentage of fat mass, trunk to leg fat mass ratio (TFM/LFM) and skeletal muscle mass index (SMI (kg/m²)). …”
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  12. 332

    The Association of Body Composition and Musculoskeletal Characteristics with Police Recruit Performance: A Cross-Sectional Study by Vanessa R. Sutton, Myles C. Murphy, Callum J. McCaskie, Paola T. Chivers, Nicolas H. Hart, Jodie L. Cochrane Wilkie, Garth Allen, Jack Dalla Via

    Published 2025-04-01
    “…Tactical performance was measured with a Physical Performance Evaluation, and cardiorespiratory fitness assessed using the Beep Test. Variables that were significant in univariate regressions progressed to generalised linear models, assessing relationships between measures and performance outcomes. …”
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  13. 333

    The pressure control of independent load port electro-hydraulic load simulation system using fixed time integral sliding mode active disturbance rejection by He Hao, Hao Yan

    Published 2024-11-01
    “…In light of the presence of substantial motion disturbances, an integrated sliding mode automatic disturbance rejection composite controller is proposed with a focus on fixed-time convergence. …”
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  14. 334

    Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction by Yanchang LV, Jingyue Wang, Chengqiang Zhang, Jianming Ding

    Published 2025-02-01
    “…For the strong noise gear fault vibration signal is relatively weak, and the transmission path is complex and variable, in the case of composite faults, the modulation of different fault characteristics of the frequency, coupling, resulting in the actual acquisition of the fault characteristics are difficult to extract and separate. …”
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  15. 335

    Association between myosteatosis or sarcopenia based on abdominal CT and hypertension in systemic lupus erythematosus patients by Bowen Wang, Liping Zuo, Jinlei Fan, Wei Zhao, Yueming An, Wangshu Cai, Dexin Yu

    Published 2025-03-01
    “…Methods This was a retrospective study involving SLE patients enrolled from January 2017 to August 2023 and who underwent abdominal CT at the L3 level to track myosteatosis and sarcopenia based on the skeletal muscle mean radiodensity (SMD) and skeletal muscle index considered as binary and continuous variables. The association between these body composition measures and hypertension was tested using logistic regression analyses, while mediation modeling was used to assess the mediators. …”
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  16. 336
  17. 337

    Body size, richness, and abundance of Staphylinidae unaffected by landscape composition and cropping system in a push–pull maize system in Kenya by Nina Garcia Devine, Tim Luttermoser, Katja Poveda

    Published 2022-08-01
    “…Research shows that increasing agricultural area at the landscape scale can have variable effects on functional traits such as body size in predators. …”
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  18. 338

    Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

    Published 2025-07-01
    “…After reinforcement with geogrids, the failure mode of the composite foundation shifts from the punching shear failure of the pure loess foundation to overall shear failure. …”
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  19. 339

    Parametric characterization of a mesomechanic kinematic caused by ondulation in fabric reinforced composites: analytical and numerical investigations by Marco Romano, Ingo Ehrlich, Norbert Gebbeken

    Published 2017-01-01
    “…The mesomechanic kinematic can be observed in both the analytic model and the FE-analyses. The analytic model yields hyperbolic correlations due to the strongly simplifying presumptions that neglect elasticity. …”
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  20. 340

    Body composition of metabolically unhealthy normal-weight patients with aortic stenosis: a prospective cohort study by Shuangxiang Lin, Chenjia Liu, Xingfa Ding, Shuyue Wang, Jiaxing Wu, Xinhong Wang, Jianzhong Sun

    Published 2024-12-01
    “…Logistic regression was used to explore the relationships between variables and outcomes, and Cox regression models were applied to examine the effects of different parameters on patient prognosis. …”
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