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HEART RATE VARIABILITY IN ASSESSMENT OF CLINICAL STATUS, FUNCTIONAL CONDITIONS AND PROGNOSIS IN HEART FAILURE
Published 2016-01-01“…Prognostic value of time-domain and spectral measures is mentioned. …”
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282
The integral limit theorem in the first passage problem for sums of independent nonnegative lattice variables
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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283
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284
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso
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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285
Unsupervised Process Anomaly Detection and Identification Using the Leave-One-Variable-Out Approach
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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286
The effect of using EMS electrical stimulation on some kinematic variables of the floater serve in volleyball
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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287
Temporal Variability of Sea Surface Temperature in Iraq Marine Water, Northwest of Arabian Gulf.
Published 2025-03-01Get full text
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288
Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
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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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>ξ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>,</mml:mo><mml:msub> <mml:mi>ξ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>,</mml:mo><mml:mo>…</mml:mo> </mml:math> are some nonnegative, mutually independent, lattice random variables being equally distributed and <mml:math> <mml:msub> <mml:mi>ν</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>∈</mml:mo><mml:mi>ℕ</mml:mi> </mml:math> when the number of terms is equal to <mml:math> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>m</mml:mi> </mml:msub> </mml:math>.…”
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290
Comparison of Central Macular Thickness Measured by Three OCT Models and Study of Interoperator Variability
Published 2012-01-01Get full text
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291
Comparison of Heart Rate Variability in Thai Older Adults with Hypertension, Pre-Hypertension, and Normotension
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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292
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293
Comparison of machine learning model performance for predicting the climate variables in Johor Bahru, Malaysia
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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294
Vascular wall remodeling in women with hypertension: relationship with heart rate variability and blood pressure
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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295
Different Types of Blood Pressure Variability in Hypertensive Patients with Chronic Lower Airway Diseases
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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296
Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization
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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297
Quantifying Extreme Values in Geomagnetic Perturbations Using Ground Magnetic Records
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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298
The value of weather forecasts for optimally placed wind and solar electricity generators
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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299
Predictive value of the serum procalcitonin level for fulminant virus-associated encephalopathy
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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300
Variability of the Lake Onega ice coverage in the period 2000-2018 according to the satellite data
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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