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  1. 81

    FORECASTING RAINFALL IN PANGKALPINANG CITY USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXOGENOUS (SARIMAX) by Ririn Amelia, Elyas Kustiawan, Ineu Sulistiana, Desy Yuliana Dalimunthe

    Published 2022-03-01
    “…One of the factors that can affect rainfall is wind speed which can affect the formation of convective clouds. …”
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    Article
  2. 82

    Possibilities of comparing the average annual effective doses of medical personnel in Russia and some foreign countries by S. Yu. Bazhin, E. N. Shleenkova, G. N. Kaidanovsky, V. A. Ilyin

    Published 2020-06-01
    “…Factors that may lead to different interpretations of the results are considered: – taking into account background doses due to natural radiation; – use in processing the results of various (in different countries) values of the minimum level of registration; – dose averaging in the absence of activity periods (loss of a dosimeter / vacation), and when registering unexpectedly high doses. …”
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  3. 83
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  5. 85

    Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints by Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG

    Published 2024-11-01
    “…Then, based on the historical annual daily average load shape-factor curves obtained after normalization and periodic smoothing treatment, it is proposed to use the DTA-Soft-DBA to predict the target year's daily average load shape-factor curve. …”
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    Article
  6. 86

    COMPARATIVE ASSESSMENT OF THE AVERAGE YIELD OF FRUIT IN THE MEMBER STATES OF THE EUROPEAN UNION FOR THE PERIOD FROM 1961 TO 2014 by Nelly Keranova

    Published 2018-03-01
    “…The EU countries are grouped through hierarchical cluster analysis based on the average yield of the respective fruit. The purpose is achieved also through a single-factor analysis of variance (ANOVA) by the Duncan criterion. …”
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    Article
  7. 87

    Assessment Of Portfolio Management Skills In Iranian Capital Market Mutual Funds:Baysian Model Averaging Approach by behrang asadi gharehjeloo, hossein abdo tabrizi

    Published 2020-08-01
    “…Eventually, using Bayesian Model Averaging approach, by implementing and evaluating numerous models consisting of variables used, posterior probability and probability of the inclusion of each variable in chosen models are presented.…”
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    Article
  8. 88

    Prevalence of autoimmune diseases is strongly associated with average annual temperatures: systematic review and linear regression analysis by Konstantinos Voskarides, Sofia Philippou, Mariam Hamam, Konstantinos Parperis

    Published 2025-07-01
    “…Conclusions These findings underscore the complexity of interactions between environmental, and genetic factors in the development of autoimmune diseases. …”
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    Article
  9. 89

    Origin-destination prediction from road average speed data using GraphResLSTM model by Guangtong Hu, Jun Zhang

    Published 2025-02-01
    “…We use a real-world road network to generate road average speed data and OD data through simulations in Simulation of Urban Mobility (SUMO), thereby avoiding the influence of external factors such as weather. …”
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  10. 90
  11. 91

    Precise Pre-Close Wind Volume Calculation for Aluminum Electrolysis Based on Unscented Kalman and Average Filters by Jiawei Zhao, Mengfan Wang, Xue Hu, Lixin Zhang

    Published 2024-12-01
    “…To improve the accuracy of calculating the aluminum electrolysis pre-close wind volume, this study focused on optimizing the two main factors that influence its magnitude: the aluminum output speed and the pre-close wind volume coefficient. …”
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    Article
  12. 92

    Accurate Calculation of Tight Sandstone Permeability Based on Multi-Key Well Average Curve Standardization Scheme by SUI Qiang, LI Xueying, ZHU Baifeng, HE Xuchao

    Published 2024-08-01
    “…The complex influencing factors of reservoir parameters lead to low calculation accuracy of porosity and permeability. …”
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    Article
  13. 93

    Climate extremes, average conditions and temperature variability as drivers of dengue epidemics in a temperate city of Argentina by María S. López, Miguel A. Lovino, Andrea A. Gómez, Santiago T. Rodríguez, Ainelen L. Radosevich, Gabriela V. Müller, Elizabet L. Estallo

    Published 2025-03-01
    “…This study assesses climate extremes, average climate conditions, and temperature variability and their relationships with dengue epidemics in a city with temperate climate in central Argentina. …”
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  14. 94
  15. 95

    DEPENDENCE OF BROWN RUST ON WINTER WHEAT AND RYE ON A NUMBER OF DAYS WITH DEFINITE WEATHER FACTORS by V. V. Chekmarev

    Published 2018-05-01
    “…Due to calculations we ascertain the ratio of the number of days with minimum air humidity (40% or more) to the number of days with an average daily temperature of 15°С or more, which shows the effect of these factors on brown rust development. …”
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  16. 96
  17. 97

    Impact of Time Trend on Weighted Average Age of Some Irrigated Bread Wheat Varieties and its Economic Analysis by hormoz asadi, Gholamreza Zamanian, Mohammad Nabi Shahiki Tash, Mohammad Ghorbani, Mohammad Reza Jalal Kamali

    Published 2018-07-01
    “…Thus, time trend variable was one of important factor on Weighted average ageof varieties. For more effecting of varieties on farmer’s income based on economic results recommended selecting of proper variety with high profitability, preparation of timely and adequate for improved seed varieties in during of age varieties by institutes.…”
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  18. 98

    Motivations and Preferences for Self-Sampled Human Papillomavirus Testing Among Average—and High-Risk Patients: An Exploratory Analysis by Rebecca Morgis, Ashley Wong, Lisa M. Witmer, Anne Kantner, Megan Mendez-Miller, Sarah I. Ramirez, Mack T. Ruffin, Jennifer L. Moss

    Published 2025-01-01
    “…This study assesses the acceptability of self-sampled HPV testing with respect to motivating factors and preference among average-risk patients (undergoing routine screening) and high-risk patients (receiving follow-up care after abnormal screening results). …”
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  19. 99

    Previous Education, Sociodemographic Characteristics, and Nursing Cumulative Grade Point Average as Predictors of Success in Nursing Licensure Examinations by Isaac Amankwaa, Anabella Agyemang-Dankwah, Daniel Boateng

    Published 2015-01-01
    “…On the other hand, students’ sociodemographic and previous educational characteristics might not be important factors to consider in admitting students into the nursing training programme.…”
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