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Showing 81 - 100 results of 140 for search '(( variable function (coefficiency. OR coefficiency.) ) OR ( variable function efficiency. ))~', query time: 0.18s Refine Results
  1. 81

    Response Surface Optimization of CuS Photocatalytic Process Using UV‐vis Irradiation for Wastewater Treatment by Caressa Munien, Emmanuel Kweinor Tetteh, Sudesh Rathilal

    Published 2025-06-01
    “…Thus, this study aimed to optimize the operating parameters of the photocatalytic degradation process using copper sulphide (CuS) and UV‐visible irradiation via response surface methodology (RSM) to determine the relationship that exists between the most significant factors and the water quality parameters. The efficiency of the CuS photocatalyst was evaluated as a function of three input variables viz. …”
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  2. 82

    The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning by N. M. Vostrikova

    Published 2019-07-01
    “…The concept and the structural-functional model of the fundamental chemical training of bachelors in the information-and-activity-based educational environment of blended learning have been proposed. …”
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    Article
  3. 83

    Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome by Bin Liu, Zhiqi Mao, Xinyuan Yan, Hang Yang, Junpeng Xu, Zhebin Feng, Yanyang Zhang, Xinguang Yu

    Published 2024-07-01
    “…The results indicated that HIG showed a higher clustering coefficient, longer characteristic path length, lower small-world index, and lower global efficiency compared with LIG. …”
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  4. 84

    THE PROPOSAL MODEL OF RATIONAL WORKFORCE ASSIGNMENT IN DOKUZ EYLUL UNIVERSITY BY ANALYTIC HIERARCHY PROCESS BASED 0-1 INTEGER PROGRAMMING by Yılmaz GÖKŞEN, Hakan AŞAN, Onur DOĞAN, Mustafa ÜNLÜ, Osman PALA

    Published 2016-11-01
    “…The Assignment model of the type of linear programming models is a mathematical method used to match the right person for the right job. The coefficients of the variables in the objective function of the assignment model constitute potential contributions of employees. …”
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    Article
  5. 85

    On the Nonlinear Forced Vibration of the Magnetostrictive Laminated Beam in a Complex Environment by Nicolae Herisanu, Bogdan Marinca, Vasile Marinca

    Published 2024-12-01
    “…The nonlinear differential equations were studied using an original, explicit, and very efficient technique, namely the optimal auxiliary functions method (OAFM). …”
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  6. 86

    A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

    Published 2024-12-01
    “…The solvent viscosity and relaxation time-employed as references to define these parameters-are functions of temperature. On the master surface, while the power coefficient of Carreau-Yasuda (n) exhibits only a slight dependency on temperature, the relative viscosity depends monotonically on this variable. …”
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  7. 87

    Impact of coffee exports on economic growth in Ethiopia; An empirical investigation by Netsanet Gizaw, Jemal Abafita, Tesfaye Melaku Merra

    Published 2022-12-01
    “…The study employed an extended generalized Cobb–Douglas production function model using data from the National Bank of Ethiopia and World Bank data base from 1980 to 2017. …”
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  8. 88

    Respiratory Muscle Strength as a Predictor of VO2max and Aerobic Endurance in Competitive Athletes by Gökhan Deliceoğlu, Banu Kabak, Veli O. Çakır, Halil İbrahim Ceylan, Muntean Raul-Ioan, Dan Iulian Alexe, Valentina Stefanica

    Published 2024-10-01
    “…These findings suggest that respiratory muscle strength plays a more substantial role in determining VO<sub>2</sub>max in individuals with higher ventilatory efficiency, highlighting the importance of both respiratory strength and breathing efficiency in aerobic performance. …”
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  9. 89

    Thermoelastic damping in piezothermoelastic nanobeam resonators under the strain gradient theory with micro-inertia and non-fourier heat conduction by Olha Hrytsyna, Maryan Hrytsyna

    Published 2025-06-01
    “…To account for small-scale effects, the Helmholtz free energy density is defined as a function of the strain tensor, strain gradient tensor, electric field vector, and temperature field, considering these parameters as independent state variables. …”
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  10. 90

    INVESTIGATION OF UV/TiO2-ZnO-Co PHOTOCATALITIC DEGRADATION OF AZO DYE (REACTIVE RED 120) BY RESPONSE SURFACE METHODOLOGY by MOHSEN MANSOURI, MARJAN TANZIFI, HOSSEIN LOTFI, MOHSEN NADEMI

    Published 2017-06-01
    “…Results were in agreement with empirical values and the sensitivity analysis showed above parameters as the most efficient variables in decolorization efficiency. Analysis of variance (ANOVA) revealed highly determination coefficient value (R2 = 0.9996 and adjusted-R2 = 0.999) and satisfactory prediction second-order regression model. …”
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    Article
  11. 91

    Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction by Beichen Ding, Yuting Lu, Chunyan Lai, Weiwen Peng, Kaide Huang, Guodong Feng

    Published 2024-12-01
    “…Specifically, the offsets to the base model are modeled using nonlinear functions with variable coefficients to compensate saturation and core loss effect, which can achieve better accuracy without changing the model structure. …”
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  12. 92

    Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping by Shuilong He, Keren Chen, Enyong Xu, Wei Wang, Zhansi Jiang

    Published 2019-01-01
    “…The sum of the frequency-weighted RMS of the driver seat acceleration, the RMS of dynamic tyre load, and suspension working space is taken as the objective function in this article, using nonlinear damping coefficients and stiffness of suspension as design variables. …”
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  13. 93

    Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

    Published 2022-12-01
    “…Due to the spectral overlap of the crops in some time periods, network training was associated with a relatively high loss and therefore, for the test area, the overall classification accuracy was 69% (percent) and the kappa coefficient was 0.55. In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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  14. 94

    An Empirical Analysis of Herding Behavior in the Stock Market: Evidence from Various Economic and Social Conditions in Iran by Majid Aghaei

    Published 2025-09-01
    “…This approach models the response of the dependent variable to the independent variable at various quantiles, denoted as "τ," making it an effective tool for analyzing non-normal distributions. …”
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  15. 95

    Evaluating the Effectiveness of Quality Control Measures in Project Management: A Study of Construction Companies in Lusaka by Mwanza Jacob, Chimbomba Kelvin

    Published 2025-03-01
    “…A solid positive relationship appeared between how well technology supports quality control and general quality control practices (Pearson coefficient = 0.893). Quality control measures improve the efficiency of construction projects, but they should be further improved as many projects still get delayed as a result of quality issues. …”
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  16. 96

    Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks by Ehsan Kharati

    Published 2024-02-01
    “…For this purpose, we need to calculate the derivative of the Lagrangian function relative to its variables, in order to determine the condition as a multi-excited multi-equation device. …”
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  17. 97

    Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams by Thomas G. Westfall, Tim J. Peterson, Anna Lintern, Andrew W. Western

    Published 2025-06-01
    “…Compared to the simple C‐Q equation, this equation explained the temporal dynamics with an average increase of 0.17 in the Nash‐Sutcliffe efficiency coefficient. Global parameter estimation gave an objective estimate of baseflow with a plausible baseflow index ranging between 0.05 and 0.40 across catchments. …”
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  18. 98

    Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder by Muzher Saleem, Ghada A. Khouqeer, Fazal Haq, Naglaa AbdelAll, Arshad Hussain, Mohammed Sallah

    Published 2025-09-01
    “…Non-dimensional mathematical model representing the physical phenomenon is solved through NDSolve function of Mathematica. Behavior of micropolar THNF and HNF velocity and thermal field versus influential variables are investigated. …”
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  19. 99

    Presenting a model of political behavior based on the theory of shadow management in the public sector with a hybrid method by Ghorbanali Khazaei Pool, davood kiakojouri, Mohammad Javad Tghipourian

    Published 2025-03-01
    “…Components related to power and political behavior based on shadow management theory were identified and validated with the kappa coefficient. Based on the research findings, political behavior in the public sector has 72 components in three different dimensions: the white political behavior dimension with 28 components that has a practical function and is based on political behavior knowledge and helps achieve organizational goals; the black political behavior dimension with 26 components that are harmful and act in favor of groups under the supervision of shadow managers and prevent the achievement of the organization's goals; and the gray political behavior with 18 components that may be both beneficial and detrimental to the organization's goals. …”
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  20. 100

    A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

    Published 2025-06-01
    “…Sensitivity analysis identified the ultimate adiabatic temperature rise as the dominant parameter (78% variance contribution), followed by synergistic interactions between hydration rate parameters, and indirect coupling effects of boundary correction coefficients. These findings guided a phased optimization strategy, as follows: prioritizing high-precision calibration of dominant parameters while relaxing constraints on low-sensitivity variables, thereby balancing accuracy and computational efficiency. …”
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