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  1. 281
  2. 282

    The integral limit theorem in the first passage problem for sums of independent nonnegative lattice variables by Yuri P. Virchenko, M. I. Yastrubenko

    Published 2006-01-01
    “…Here, ξ1,ξ2,… are some nonnegative, mutually independent, lattice random variables being equally distributed and νm is defined by the condition that the sum value exceeds at the first time the given level m∈ℕ when the number of terms is equal to νm.…”
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  3. 283
  4. 284

    MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso by Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot

    Published 2023-03-01
    “…At this step, group-Lasso outputs sets of candidate groups of variables for each value of the regularization parameter. …”
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  5. 285

    Unsupervised Process Anomaly Detection and Identification Using the Leave-One-Variable-Out Approach by Jacob A. Farber, Ahmad Y. Al Rashdan

    Published 2025-03-01
    “…This study introduces the leave-one-variable-out (LOVO) model, which masks one variable at a time to predict the others, learning underlying process correlations. …”
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  6. 286

    The effect of using EMS electrical stimulation on some kinematic variables of the floater serve in volleyball by Dr. Alaa Aldein Faisal Dr. Adnan Hady

    Published 2020-11-01
    “…The study aimed to know :                       -values of some biomechanical variables for the skill of the floater serve  in the women's volleyball …”
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  7. 287
  8. 288

    Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty by Veysel Yildiz, Solomon Brown, Charles Rougé

    Published 2024-06-01
    “…Specifically, this framework focuses on leveraging multi‐objective robust decision making for the financially robust design of run‐of‐river hydropower plants, whose output is highly sensitive to flow variability. Application to five plants in Türkiye challenges two key design assumptions, use of net present value as a design objective and use of identical turbines. …”
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  9. 289

    The integral limit theorem in the first passage problem for sums of independent nonnegative lattice variables

    Published 2006-01-01
    “…Here, <mml:math> <mml:msub> <mml:mi>&#x03BE;</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>,</mml:mo><mml:msub> <mml:mi>&#x03BE;</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>,</mml:mo><mml:mo>&#x2026;</mml:mo> </mml:math> are some nonnegative, mutually independent, lattice random variables being equally distributed and <mml:math> <mml:msub> <mml:mi>&#x03BD;</mml:mi> <mml:mi>m</mml:mi> </mml:msub> </mml:math> is defined by the condition that the sum value exceeds at the first time the given level <mml:math> <mml:mi>m</mml:mi><mml:mo>&#x2208;</mml:mo><mml:mi>&#x2115;</mml:mi> </mml:math> when the number of terms is equal to <mml:math> <mml:msub> <mml:mi>&#x03BD;</mml:mi> <mml:mi>m</mml:mi> </mml:msub> </mml:math>.…”
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  10. 290
  11. 291

    Comparison of Heart Rate Variability in Thai Older Adults with Hypertension, Pre-Hypertension, and Normotension by Ruchada Sri-Amad, Nawiya Huipao, Porraporn Sriwannawit, Piyapong Prasertsri, Thapanee Roengrit

    Published 2024-01-01
    “…This study aims to compare HRV variables across three cohorts: normotensive (NT), prehypertensive (pre-HT), and hypertensive (HT) and to assess the relationship between the blood pressure (BP) and HRV parameters. …”
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  12. 292
  13. 293

    Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia by Farid Zamani Che Rose, Nur Aqilah Khadijah Rosili, Muhammad Fadhil Marsani

    Published 2025-07-01
    “…Abstract Accurately predicting climate variables such as air temperature, humidity and precipitation plays a crucial role in air quality management. …”
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  14. 294

    Vascular wall remodeling in women with hypertension: relationship with heart rate variability and blood pressure by E. A. Koval, I. N. Zubko

    Published 2013-08-01
    “…We evaluated the mean systolic and diastolic BP (MSBP and MDBP), their time indices, variability and circadian index. Short-term heart rate variability was performed using an automated diagnostic complex "Cardio +" (NVP Metekol, Ukraine). …”
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  15. 295

    Different Types of Blood Pressure Variability in Hypertensive Patients with Chronic Lower Airway Diseases by M. I. Smirnova, V. M. Gorbunov, A. S. Kurekhyan, Ya. N. Koshelyaevskaya, A. D. Deev

    Published 2019-01-01
    “…The BPV indices were calculated as SD for different time periods, ARV (average real variability), and VIM (variation independent of mean). …”
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  16. 296

    Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

    Published 2025-04-01
    “…Methods We utilized both simulated datasets and a real breast cancer dataset to compare the performance of seven Accelerated Failure Time (AFT) frailty models: Weibull, Log-logistic, Gamma, Gompertz, Log-normal, Generalized Gamma, and the Extreme Value Frailty AFT model. …”
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  17. 297

    Quantifying Extreme Values in Geomagnetic Perturbations Using Ground Magnetic Records by J. Rodríguez‐Zuluaga, J. Gjerloev, S. Ohtani, Y. Zou, B. Anderson

    Published 2024-07-01
    “…Our study covers low, middle, and high magnetic latitudes in the northern magnetic hemisphere, with the primary objective of quantifying extreme values and evaluating their variability on magnetic latitude, local time, and solar cycle phases “minimum, ascending, maximum, and declining.” …”
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  18. 298

    The value of weather forecasts for optimally placed wind and solar electricity generators by Michael Lehning, Michael Lehning, Jérôme Dujardin, Albin Cintas

    Published 2025-05-01
    “…Given the spatiotemporal variability of weather—and thus energy production—the optimal placement of new installations can be determined based on average weather (or climate) patterns to enhance demand matching within a grid environment. …”
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  19. 299

    Predictive value of the serum procalcitonin level for fulminant virus-associated encephalopathy by Lilin Huang, Xiaole Yang, Jing Li, Shumei Peng

    Published 2024-12-01
    “…Clinical data were analyzed, and receiver operating characteristic (ROC) curve analysis was performed to determine the prognostic value of the selected variables. Results Twenty-three children with fulminant VAE were included and divided into a survival group (n = 16) and a nonsurvival group (n = 7). …”
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  20. 300

    Variability of the Lake Onega ice coverage in the period 2000-2018 according to the satellite data by V. N. Baklagin

    Published 2018-12-01
    “…On average for this period, from 5 to 15 values were annually obtained, which was not enough for a comprehensive analysis of the ice coverage variability. …”
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