Search alternatives:
variable » variables (Expand Search)
coefficient. » efficient. (Expand Search)
Showing 341 - 360 results of 963 for search 'variable function coefficient.', query time: 0.11s Refine Results
  1. 341

    Spatiotemporal Evolution and Multi-Driver Dynamics of Sea-Level Changes in the Yellow–Bohai Seas (1993–2023) by Lujie Xiong, Fengwei Wang, Yanping Jiao, Yunqi Zhou

    Published 2025-05-01
    “…Temporal and spatial variations were examined through nonlinear least squares fitting to capture interannual variability and decadal amplitude distributions. Empirical orthogonal function (EOF) analysis identified the first three modes, explaining 90.40%, 2.78%, and 1.47% of the total variance, respectively, and their spatial patterns and temporal coefficients were derived. …”
    Get full text
    Article
  2. 342

    Effect of drought disturbance in a sclerophyll forest on the micromammal community in the Río Clarillo National Park, Metropolitan Region, Chile by Susan Fletcher, Carlos Sarmiento, Gisela C. Stotz, Verónica Quirici

    Published 2025-01-01
    “…Community indices such as Shannon–Wiener and Pielou were calculated. The Coefficient of Variation was used to study functional diversity for each trait separately. …”
    Get full text
    Article
  3. 343

    The Relationship between Core Stability Muscles Isometric Strength and Endurance with the Postural Control and Walking Endurance in Patients with Multiple Sclerosis by Behnam Moradi, Seyed Sadreddin Shojaedin

    Published 2018-06-01
    “…On the other hand, no significant relationship was found between core muscles isometric tests with 6-minute with walk functional among the patients multiple sclerosis. Conclusion: Despite the significant relationship between core muscles isometric strength and endurance in patients MS on one of the functional capability variables (balance), it should be stated that taking advantage of other methods (dynamic methods and methods like Electromyography) is required in order to achieve more verified and certain results.…”
    Get full text
    Article
  4. 344

    Reliability and Accuracy of Ultrasonographic Muscle Thickness Measurements: Evaluating Key Postural Stabilisers in Rehabilitation by Arkadiusz Żurawski, Natalia Barańska, Aleksandra Tomala, Edyta Majorczyk, Joanna Macierzyńska

    Published 2025-05-01
    “…Its capacity to provide real-time visualisation of muscle structure and function underpins its utility in clinical practice and scientific research. …”
    Get full text
    Article
  5. 345

    Comparing Upper Limb Performance Between Women and Men in CrossFit: Associations with FMS, Davis, and Dash Tests by Sabikeh Moghaddamnezhad, Abdolrasoul Daneshjoo

    Published 2024-03-01
    “…As the data were not normally distributed, Spearman's correlation coefficient was used to examine the relationships between variables. …”
    Get full text
    Article
  6. 346

    Intrarater reliability of the Abilitator—a self-report questionnaire on work ability and functioning aimed at the population in a weak labour market position: a test–retest study... by Anne Kouvonen, Matti Joensuu, Miia Wikström

    Published 2021-12-01
    “…A statistically significant difference was observed in the summary scale for social functioning (t=−2.01, p=0.049). Agreement was observed for all variables except social functioning. …”
    Get full text
    Article
  7. 347

    Percepción de la relación deporte-política desde las funciones de la economía política (Perception of the sport-politics relationship from the functions of political economy) by José Ramón Sanabria Navarro, Yahilina Silveira Pérez, William Alejandro Niebles Núñez

    Published 2024-10-01
    “…Quantitative research was using a sample of 321 persons the sports sector in the departments of Córdoba and Sucre in Colombia. The measured variables included functions of political economy, production relationships, means of production, and productive forces associated with the sports sector. …”
    Get full text
    Article
  8. 348

    A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

    Published 2025-06-01
    “…Rock strength parameters, including cohesion, internal friction angle, uniaxial tensile strength, and softening coefficient, are treated as random variables to determine the rock failure uncertainty. …”
    Get full text
    Article
  9. 349

    MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL by XIAO Qian, LUO Chao, OUYANG ZhiXu, CHANG Chao, LUO JiaWen

    Published 2021-01-01
    “…The RBF( Radial Basis Function) neural network surrogate model that employed to explore the multi-objective optimization problems of vehicle and track parameters is to improve the dynamic performance of vehicles. …”
    Get full text
    Article
  10. 350

    Principles of research of soil ped deformation at interaction with machine working element by V. I. Kravchuk, V. P. Davydyuk

    Published 2016-02-01
    “…Research of systems of analytical models of the second order with variable coefficients in partial derivatives with a set of input and output parameters can be effectively realized by numerical methods with use of the special varargin and varargout functions. …”
    Get full text
    Article
  11. 351

    Defining the logistics performance as factor of production: an evidence based analysis from developing countries by Zunaira Khadim, Irem Batool, Minhas Akbar, Veronika Zidova, Asokan Vasudevan, Jin Zhang

    Published 2025-12-01
    “…The other control variables are capital stock, employed labor force, and financial development. …”
    Get full text
    Article
  12. 352

    Critical energy distribution and fracture characteristics of heterogeneous rock under splitting condition by Hongguang JI, Zhen FU, Yuezheng ZHANG, Chunrui ZHANG, Dongsheng CHEN

    Published 2024-12-01
    “…The experimental results show: ① The deformation space variability coefficient at the 90% peak stress level of the rock can be used to evaluate the differences in rock deformation coordination, and it is approximately negatively correlated with the tensile strength of the specimen; ② The acoustic emission bi value shows a “fluctuating-rising-falling” trend during the loading process. …”
    Get full text
    Article
  13. 353
  14. 354

    On solutions of certain compatible systems of quadratic trinomial Partial differential-difference equations by R. Mandal, R. Biswas

    Published 2024-06-01
    “…Appl. 483(2), 2020) and then construct some systems of certain quadratic trinomial partial differential-difference equations with arbitrary coefficients. Our objective is to investigate the forms of the finite order transcendental entire functions of several complex variables satisfying the systems of certain quadratic trinomial partial differential-difference equations on $\mathbb{C}^n$. …”
    Get full text
    Article
  15. 355

    An Algorithm for the Solution of Integro-Fractional Differential Equations with a Generalized Symmetric Singular Kernel by Sameeha A. Raad, Mohammed A. Abdou

    Published 2024-10-01
    “…Next, to solve this <b>MIE</b>, the authors apply a special technique to separate the variables and produce an integral equation in position with coefficients, in the form of an integral operator in time. …”
    Get full text
    Article
  16. 356

    Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

    Published 2024-12-01
    “…However, little information exists on how each LIM-MCMC algorithm parameter affects the degree of empirical data variability introduced into the ensemble. Further, post hoc algorithm quality diagnostics with commonly used trace plots and the coefficient of variation (CoV) rarely address critical aspects of algorithm quality, such as (1) if the returned ensemble successfully targeted the solution space distribution (stationarity), (2) correlation between ensemble solutions (mixing), and (3) if the ensemble contains enough solutions to adequately capture input data variability (sampling efficiency). …”
    Get full text
    Article
  17. 357

    DESIGN OF BAND-PASS FILTERS WITH NON-EQUIRIPPLE FREQUENCY RESPONSES by Evgeniy N. Chervinskiy

    Published 2019-07-01
    “…The equations are formed by equating coefficients of variables raised to the same powers in transfer function (TF) expressions of designed and realized filters. …”
    Get full text
    Article
  18. 358

    Stochastic solutions of the geophysical KdV equation: Numerical simulations and white noise impact by Areej A. Almoneef, Abd-Allah Hyder, Mohamed A. Barakat, Abdelrheem M. Aly

    Published 2025-03-01
    “…This research explored stochastic soliton and periodic wave (SPW) solutions for the geophysical Korteweg-de Vries (KdV) equation with variable coefficients, incorporating the effects of Earth's rotation, fluid stratification, and topographical variations. …”
    Get full text
    Article
  19. 359

    Diabetes mellitus type 2: the relationship of baseline clinical, laboratory and echocardiographic parameters with long-term major adverse cardiovascular events by I. A. Bondar, A. A. Demin, D. V. Grazhdankina

    Published 2022-05-01
    “…The plasma level of the N-terminal propeptide of natriuretic hormone B-type (NT-proBNP) was determined. The variability of fasting blood glucose and intraday glycemic variability were measured by calculating the standard deviation (SD) and the coefficient of variation (CV) of at least 3 blood glucose values for 3 days. …”
    Get full text
    Article
  20. 360

    Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

    Published 2025-05-01
    “…This work presents a comprehensive evaluation of four feed-forward artificial neural network (ANN) architectures—radial basis function (RBF), Bayesian regularized (BR), scaled conjugate gradient (SCG), and Levenberg–Marquardt (LM)—to predict UCS from three readily measured variables: water content, interconnected porosity, and real density. …”
    Get full text
    Article