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  1. 241

    A Bibliometric Analysis of Global Research Trends in Blood Pressure Variability by Zheng Zhang, Yi Duan, Zhifeng Gao, Yue Cao, Huan Zhang

    Published 2025-05-01
    “…Keywords such as “hypertension”, “blood pressure”, “mortality” and “stroke” were found to be the most frequently recurring, and research on blood pressure variability encompasses both clinical and fundamental investigations. …”
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    Article
  2. 242

    Burnout and Work Engagement in Young Endocrinologists: Do Organizational Variables Matter? by Yura Loscalzo, Giuseppe Lisco, Simonetta Marucci, Roberto Attanasio, Renato Cozzi, Marco Giannini, Vincenzo Triggiani

    Published 2025-06-01
    “…Most of them worked in hospitals or local healthcare districts (35.6%), as independent contractors (31.9%), or as Ph.D. students or residents (25.6%). …”
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  3. 243
  4. 244

    Imaginary latent variables: Empirical testing for detecting deficiency in reflective measures by Marco Vassallo

    Published 2024-11-01
    “…Modeling an imaginary latent variable produces a potential deficiency within its relative reflective measures through a considerable reduction in common variance indicating the most affected indicator(s).…”
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  5. 245

    Spatio-temporal variability and trends of air pollutants in the Metropolitan Area of Curitiba by Patricia Krecl, Lizeth Bibiana Castro, Admir Créso Targino, Gabriel Yoshikazu Oukawa

    Published 2024-12-01
    “…Although exceedances of NAQS decreased over time, concentrations of most pollutants remained above WHO guidelines, except for CO. …”
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  6. 246
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    Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling by Hyacinth C. Nnamchi, Mojib Latif

    Published 2025-04-01
    “…These skillful predictions raise hopes for enabled action in advance to avoid the most severe societal impacts in the affected countries.…”
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  10. 250

    The Use of the Acoustic Signal to Diagnose Machines Operated Under Variable Load by Paweł PAWLIK

    Published 2020-04-01
    “…Impact of background noise seems to be the major problem as part of analysis of such signal. In most cases of industrial environments, background level is high; thus, it prevents against concluding as per standard methods that have been used in diagnostic testing. …”
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    Article
  11. 251

    Predictability of tropical Pacific decadal variability is dominated by oceanic Rossby waves by Xian Wu, Stephen G. Yeager, Clara Deser, Antonietta Capotondi, Andrew T. Wittenberg, Michael J. McPhaden

    Published 2024-11-01
    “…Using observational data and a hierarchy of model simulations including decadal hindcasts, we find that decadal isopycnal depth variability driven by oceanic Rossby waves in the tropical Pacific provides the most important source of predictability for TPDV. …”
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  12. 252

    Linguistic complexity in second language development: variability and variation at advanced stages by Marjolijn Verspoor, Wander Lowie, Hui Ping Chan, Louisa Vahtrick

    Published 2017-01-01
    “…This paper explores which linguistic complexity measures most convincingly characterize development at advanced L2 stages. …”
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    Article
  13. 253

    Estimating Subseasonal Variability and Trends in Global Atmosphere Using Reanalysis Data by N. Žagar, D. Jelić, M. J. Alexander, E. Manzini

    Published 2018-12-01
    “…Most of variability is due to balanced (Rossby mode) dynamics but the portion associated with the inertio‐gravity (IG) modes increases as the scale reduces. …”
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    Article
  14. 254
  15. 255

    Assessing and reducing sources of gene expression variability in Staphylococcus epidermidis biofilms by Cármen Sousa, Angela França, Nuno Cerca

    Published 2014-12-01
    “…We devised an experimental setup that could be used to determine the contribution of each experimental step to the variability of mRNA transcript measurement. Among factors tested, biofilm growth contributed the most bias to gene expression quantification. …”
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  16. 256

    ON APPLICATION OF THE METHOD OF SEPARATION OF VARIABLES TO FIND SOLUTIONS OF NONLINEAR DIFFERENTIAL EQUATIONS by A. B. Cheboksarov, V. A. Cheboksarov, B. A. Kazarian, N. P. Kharish

    Published 2022-08-01
    “…We consider the method of application of the most commonly used method of solving differential equations - the method of separation of variables. …”
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    Article
  17. 257

    Long-Term Variability and Trends in the Characteristics of Heating Seasons in Central Europe by Szyga-Pluta Katarzyna, Piotrowicz Katarzyna

    Published 2025-02-01
    “…The study analysed the temporal and spatial variability of the changes in the start and end dates and the length of heating seasons (HS), as well as the values of heating degree-days (HDD) in Central Europe from 1961/62 to 2020/21. …”
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  18. 258

    Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks by Mahdi Abdollahi, Nooshin Torabi, Sadegh Raeisi, Sohrab Rahvar

    Published 2022-04-01
    “…Our pre-processing method uses light curves and period of stars as input data. We consider most of the classes and subclasses of variable stars in OGLE-IV database and show that using Hierarchical Classification technique and designing appropriate preprocessing can increase accuracy of predicting smaller classes, ACep and T2Cep. …”
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  19. 259

    A dependence detection heuristic in causal induction to handle nonbinary variables by Kohki Higuchi, Tomohiro Shirakawa, Hiroto Ichino, Tatsuji Takahashi

    Published 2025-04-01
    “…Previous studies indicate that the pARIs model is the most descriptive of human causality estimation among 42 normative and descriptive models defined using two binary variables. …”
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  20. 260

    Investigation of the trends and variability in rainfall pattern in the Upper Kumaon Himalayan region by Subhash Anand, Aarti, Anju Singh

    Published 2025-02-01
    “…Long-term gridded daily rainfall data were used for parametric regression analysis and variability analysis to examine historical trends. The analysis showed a continuous decrease in annual precipitation across all districts, with the most significant decrease seen at Bageshwar (−3.88 mm/year). …”
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