Showing 121 - 140 results of 28,993 for search 'effective average', query time: 0.22s Refine Results
  1. 121

    Bayesian model averaging: improved variable selection for matched case-control studies by Yi Mu, Isaac See MD, Jonathan R. Edwards MSc

    Published 2019-06-01
    “…Bayesian model averaging also produced more reliable and robust effect estimates. …”
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    Effects and Risks of Distance Learning in Higher Education by Yu. M. Tsygalov

    Published 2020-11-01
    Subjects: “…positive and negative effects…”
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    Influence of the level of adhesive activity of Lactobacillus paracasei B-11821 bacteria on the effectiveness of the probiotic preparation for use in pig breeding by N.V. Pozolotina, I.V. Darmov, I.V. Marakulin, A.P. Pozolotin

    Published 2018-03-01
    “…The purpose of this paper is to reveal the relationship between the level of adhesive activity and the growth-stimulating effect of the probiotic strain L. paracasei B-11821 in the research and production experiment on wean piglets. …”
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  9. 129

    RESEARCH ON FATIGUE PROPERTIES OF 7075-T651 ALUMINUM ALLOY CONSIDERING THE EFFECT OF MEAN STRESS by 俞俊, 王宇, 李海芳, 翁硕, 何小田, 赵礼辉谢春莉, 王伟利, 朱佳佳

    Published 2024-04-01
    “…In this study, the effect of average stress on the fatigue properties of 7075-T651 aluminum alloy was studied, and four stress ratios of <italic>R</italic> = 0.5, 0.3, 0.1 and -0.1 were selected for fatigue experiments. …”
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    Forecasting Dog Bite Incidents: An Autoregressive Integrated Moving Average Time Series Analysis by Dinesh Asokan, Joyce Bardeskar, Minal Borode, Anjali Mall, Geeta Pardeshi

    Published 2025-03-01
    “…Introduction: This study, driven by the high incidence of dog bites in India and the fatality risk of rabies, utilised Autoregressive Integrated Moving Average (ARIMA) analysis to forecast dog bite trends in a metropolitan tertiary care hospital. …”
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  14. 134

    Chicane-based beam loading compensation for high average current electron bunch trains by Xiaoyang Zhang, Pengwei Huang, Yingchao Du, Renkai Li, Chuanxiang Tang

    Published 2025-05-01
    “…Effective compensation methods are essential for enhancing beam quality. …”
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  15. 135

    False and genuine decoherence in the early universe: a local observer and time-averaged observables by Fumiya Sano, Junsei Tokuda

    Published 2025-07-01
    “…We consider correlators defined using the geodesic distance for IR divergences and time-averaged correlators for UV divergences. To incorporate these observer’s perspective, we propose to use in effective quantum state, defined in terms of actual observables, as a more appropriate probe of the quantum coherence of the system measured by an observer. …”
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  16. 136

    An empirical assessment of Tukey combined extended exponentially weighted moving average control chart by Khanittha Talordphop, Yupaporn Areepong, Saowanit Sukparungsee

    Published 2025-02-01
    “…The extended exponentially weighted moving average (EEWMA) control chart was employed to monitor the mean process because of its rapid detection of shifts. …”
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  17. 137

    An Analytical Model for Aerostatic Thrust Bearings Based on the Average Pressure of the Area Surrounded by Orifice by Jian Zheng, Jianwei Wu, Huan Liu, Jiyao Wang, Pengyue Zhao

    Published 2025-03-01
    “…This provides a more precise and effective performance prediction model for rectangular aerostatic thrust bearings in engineering design.…”
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    Digital mapping of Ghana’s soil properties and nutrients: performance of spline and weighted average approaches by Kora B.D. Simperegui, Anselme K.K. Kouame, Benjamin Kwesie, Prem S. Bindraban, William Adzawla, Eric Asamoah, Mohamed El Gharous

    Published 2025-07-01
    “…This involved two profile data harmonization methods—equal-area spline and thickness-weighted average—with a quantile random forest model. On average, the thickness-weighted approach (coefficient of determination [R2]: 0.008–0.687, concordance correlation coefficient [CCC]: 0.103–0.793) outperformed the spline approach (R2: 0.180–0.567, CCC: 0.175–0.688) for eight of the 9 soil properties. …”
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  20. 140

    Comparison of the prediction effects of LSTM, SARIMA and SARIMAX models on the incidence of hand, foot, and mouth disease by ZHANG Xiaoqiao, ZHANG Xiaodie, ZHAO Zhenxi, XIE Pengliu, DAI Min

    Published 2025-03-01
    “…Objective: To compare the effects of seasonal autoregressive integrated moving average (SARIMA) , seasonal autoregressive integrated moving average with exogenous regressors (SARIMAX) and long short-term memory neural network (LSTM) models in predicting the incidence of hand, foot, and mouth disease (HFMD). …”
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