Showing 501 - 520 results of 2,280 for search 'variables function ((coefficient. OR efficiency.) OR efficient.)', query time: 0.16s Refine Results
  1. 501

    Comparison of the Effect of Fimasartan versus Valsartan on Blood Pressure Variability in Acute Ischemic Stroke: A Double-Blind Randomized Trial by Dong Hoon Shin, Soohwa Song, Yeong Bae Lee

    Published 2019-01-01
    “…Higher blood pressure variability (BPV) is associated with poor functional outcome and mortality in acute stroke. …”
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    Article
  2. 502

    Vibration under variable magnitude moving distributed masses of non-uniform Bernoulli-Euler beam resting on Pasternak elastic foundation by T. O. Awodola, S. A. Jimoh, B. B. Awe

    Published 2019-03-01
    “…In order to obtain the solution, a technique based on the method of Galerkin with the series representation of Heaviside function is first used to reduce the equation to second order ordinary differential equations with variable coefficients. …”
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    Article
  3. 503
  4. 504

    Axisymmetric Free Vibration of Functionally Graded Piezoelectric Circular Plates by Yang Li, Yang Gao

    Published 2024-12-01
    “…The finite Hankel transform is utilized to obtain an ordinary differential equation with variable coefficients. By virtue of the proposed exponential law model, we have ordinary differential equations with constant coefficients. …”
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    Article
  5. 505

    Functional Correlates of Action Observation of Gait in Patients with Parkinson’s Disease by Giulia Bommarito, Martina Putzolu, Laura Avanzino, Carola Cosentino, Alessandro Botta, Roberta Marchese, Matilde Inglese, Elisa Pelosin

    Published 2020-01-01
    “…Differences between patients with PD (FOG+ and FOG-) and HS were assessed at the level of behavioral and functional analysis. Results. Gait parameters, including gait velocity, stride length, and their coefficients of variability (CV), were different in PD patients compared to HS, whereas gait performance was similar between FOG+ and FOG-. …”
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    Article
  6. 506

    The Time-Dependent Schrödinger Equation, Riccati Equation, and Airy Functions by Nathan A. Lanfear, Sergei K. Suslov

    Published 2025-05-01
    “…Particular solutions of the corresponding nonlinear Schrödinger equations with variable coefficients are also found. A special case of the quantum parametric oscillator is studied in detail first. …”
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    Article
  7. 507

    High Variability in Human Sperm Membrane Potential over Time Can Limit Its Reliability as a Predictor in ART Outcomes by Tomás J. Steeman, Carolina Baro Graf, Analia G. Novero, Mariano G. Buffone, Dario Krapf

    Published 2025-07-01
    “…Intra-donor <i>E</i>m variability and coefficients of variation (CV) were analyzed statistically. …”
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    Article
  8. 508

    A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

    Published 2025-01-01
    “…The proposed algorithm makes use of an arctan constraint in the cost function of the algorithm. This constraint enforces a zero attraction of the filter coefficients based on the relative value of each filter coefficient among all entries. …”
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    Article
  9. 509

    Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

    Published 2025-01-01
    “…Therefore, this study is motivated to adopt the idea of a penalized semi-parametric Bayesian Cox (PSBC) model through elastic-net and group lasso penalty functions (PSBC-EN and PSBC-GL) to incorporate the grouping structure of the covariates (genes) and optimally perform variable selection. …”
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    Article
  10. 510
  11. 511

    Bayesian Adaptive Lasso for the Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Ruiqin Tian, Ying Lu

    Published 2022-01-01
    “…This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional covariate. …”
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    Article
  12. 512

    Radiographic and Functional Results following Subtalar Arthroereisis in Pediatric Flexible Flatfoot by David Ruiz-Picazo, Plácido Jiménez-Ortega, Francisco Doñate-Pérez, Natalia Gaspar-Aparicio, Victor García-Martín, José Ramírez-Villaescusa, Sergio Losa-Palacios

    Published 2019-01-01
    “…Two expert surgeons from the Pediatric Orthopedics Unit took separate measurements of these angles for subsequent analysis purposes and to obtain the interobserver correlation coefficient for quantitative variables. Pre- and postoperative differences in the measurement of angles were ascertained using Student’s t-test for paired samples; and a functional evaluation of the patients intervened was carried out pre- and postoperatively by administering the parent version of the Oxford Ankle Foot Questionnaire for Children (OxAFQ-C) during a clinical interview. …”
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    Article
  13. 513

    Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model by Zelin Hang, Xiuli He

    Published 2025-07-01
    “…This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model. …”
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    Article
  14. 514

    Association between long-term visit-to-visit resting heart rate variability and cognitive decline: evidence from two national cohorts by Guangjun Zheng, Biying Zhou, Zhenger Fang, Xia Chen, Mingliang Liu, Fudong He, Haofeng Zhang, Guang Hao, Haidong Zhu, Yanbin Dong

    Published 2025-08-01
    “…Similar results were observed from several sensitivity analyses, including using average real variability and coefficient of variation for RHRV, additionally adjusted for physical activity, excluding participants who had heart problems at baseline, and further adjusting for the C-reactive protein in the CHARLS. …”
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  15. 515
  16. 516

    Constructing the Lyapunov Function through Solving Positive Dimensional Polynomial System by Zhenyi Ji, Wenyuan Wu, Yong Feng, Guofeng Zhang

    Published 2013-01-01
    “…First, positive polynomial system is obtained via the local property of the Lyapunov function as well as its derivative. Then, the positive polynomial system is converted into an equation system by adding some variables. …”
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  17. 517

    Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

    Published 2016-08-01
    “…However, taking lessons from spatial ecology, it is likely that spatial variability is the key, rather than the obstacle, to understanding the structure and function of soil biodiversity. …”
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  18. 518

    A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

    Published 2023-01-01
    “…This paper proposes a Model Predictive Current Control (MPCC) based variable sampling time interleaving method to improve the current shaping ability, power conversion efficiency, power density and current ripple reduction of a two-phase totem pole bridgeless boost power factor correction (PFC) converter. …”
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    Article
  19. 519

    Analysis of entropy generation in tri-hybrid nanofluid flow towards a spinning disk under the influence of hall effect and variable viscosity by Moh Yaseen, Ritu Bartwal, Anum Shafiq, Sawan Kumar Rawat, Qasem M. Al-Mdallal, Umesh Khanduri, Tabassum Naz Sindhu

    Published 2025-05-01
    “…This paper examines the combined effects of Hall effect, thermal radiation and variable viscosity on the unsteady flow near a stagnation point over a rotating disk. …”
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    Article
  20. 520

    Sexual Function and Quality of Life in Iranian Women With Human Papillomavirus Infection by Afsaneh Tehranian, Marzieh Vahid Dastjerdi, Sare Hatamian, Akram Ghahghaei-Nezamabadi

    Published 2024-10-01
    “…Variables were analysed via correlation coefficient and linear regression tests. …”
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