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Showing 1,621 - 1,640 results of 2,280 for search 'variables function ((coefficiency. OR coefficiency.) OR efficient.)', query time: 0.13s Refine Results
  1. 1621

    Analysis of Heat Transfer Performance in a Brayton Cycle Recuperator by Elvis Falcão de Araújo, Guilherme Borges Ribeiro, Lamartine Nogueira Frutuoso Guimarães

    Published 2021-02-01
    “…The characteristic curves of heat transfer rate, effectiveness, convection coefficient and Colburn factor are built for each of the studied geometries in function of the Reynolds number. …”
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  2. 1622

    A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

    Published 2024-08-01
    “…The study employed the batch collection of training samples utilizing experience replay and a double-network mechanism, along with the preprocessing of neural network state inputs, and the investigation into feasible regions within the action space using a variable ε-greedy strategy. A loss function based on the value function was then constructed, and network parameters were updated iteratively by a batch gradient descent method. …”
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  3. 1623

    Assessment of RBFs Based Meshfree Method for the Vibration Response of FGM Rectangular Plate Using HSDT Model by Manish Srivastava, Jeeoot Singh

    Published 2023-04-01
    “…Radial basis functions (RBFs) with modified radial distance are proposed for vibration analysis of functionally graded materials (FGM) rectangular plates. …”
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  4. 1624

    Study of the possibility of controlling the production of low-molecular-weight heparin preparations by domestic test systems (review) by A. L. Berkovsky, E. V. Sergeeva, A. V. Suvorov

    Published 2024-09-01
    “…The data on the wide clinical use of low-molecular-weight heparin (LMWH) preparations are presented, necessitating the need for efficient and high-quality production of appropriate pharmaceuticals. …”
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  5. 1625

    Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

    Published 2025-07-01
    “…In the end, using an attention function, Vision Transformer-based models classify vehicles seen from above. …”
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  6. 1626

    A Protocol for Advanced Psychometric Assessment of Surveys by Janet E. Squires, Leslie Hayduk, Alison M. Hutchinson, Lisa A. Cranley, Mark Gierl, Greta G. Cummings, Peter G. Norton, Carole A. Estabrooks

    Published 2013-01-01
    “…Reliability is assessed with internal consistency coefficients and information functions. A unitary approach to validity consisting of accumulating evidence based on instrument content, response processes, internal structure, and relations to other variables is taken. …”
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  7. 1627

    IRRIGATED YIELD ESTIMATION OF Populus Nigra STANDS IN NINEVEH PLANTATION by Muzahim .S. younis

    Published 2008-09-01
    “…Consequence of the use of Non-Linear function in this study, which is believed to be in harmonic with the characteristics of tree stand, twelve trees were selected which represents different location over an area planted with Populus nigra trees ,and after data analysis of variable values , three mathematical equations were obtains which link the yield per area ,a dependent variable and age ,mean height of stand quadratic mean diameter as the independent variable , in order to obtain yield table of revocable densities for Populus nigra , selecting the best model , different measures of precision , such as , coefficient of determination, standard error of estimate and residual analysis test, so following regressions selected : Y= 4.1356 G1.12355 R2= 0.9796 S.E=1.8 Y= 0.12788H2.27 R2= 0.913 S.E=3.54 Y= -0.64168+0.34744A2+0.063183Dq2.4 R2= 0.9674 S.E=2.29 Since there are good values of precision measures , so we will be able to use equations to prepare yield table at different densities of Populus nigra stands in Nineveh, depending on mean height or basal area per hectare or for age and quadratic mean. …”
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  8. 1628

    Quality of Life in Patients with Multiple Sclerosis by Grażyna Franek, Marzena Bieniak, Aleksandra Cieślik

    Published 2019-06-01
    “…In order to calculate the variables, the following measures were used: arithmetic mean, standard deviation, coefficient of variation, asymmetry coefficient, kurtosis coefficient, Person linear correlation coefficient, Spearman rank correlation coefficient. …”
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  9. 1629

    Understanding the Role of Organic Hole Transport Layers on Pinhole Blocking and Performance Improvement in Sb2Se3 Solar Cells by Thomas P. Shalvey, Christopher H. Don, Leon Bowen, Tim D. Veal, Jonathan D. Major

    Published 2024-12-01
    “…After successive record‐efficiencies using a range of device structures, spiro‐OMeTAD has emerged as the default hole transport material (HTM), however, the function of HTM layers remains poorly understood. …”
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  10. 1630

    Effect of a mix of condense and hydrolysable tannins feed additive on lactating dairy cows’ services per conception and days open by Alejandro R Castillo, Julio A Di Rienzo, Damiano Cavallini

    Published 2025-03-01
    “…Services per conception was modeled as a Poisson count using a generalized linear model with log link function. Days open was modeled with a generalized linear model for a gamma variable with log link function. …”
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  11. 1631

    Synergistic Enhancement of Carbon Sinks and Connectivity: Restoration and Renewal of Ecological Networks in Nanjing, China by Renfei Zhang, Hongye Li, Zhicheng Liu

    Published 2025-01-01
    “…We propose an innovative carbon sink index (CSI) that integrates three indicators: capacity, efficiency, and variability. This index assesses the carbon sink function of ecological patches from both static and dynamic perspectives. …”
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  12. 1632
  13. 1633

    Rational and Irrational Investor Sentiments and Stock Market Returns: Evidence from the Tehran Stock Exchange by Mohammad Nadiri, Hamid Reza Panahian

    Published 2024-09-01
    “…In the first step, we used an autoregressive distributed lag (ARDL) technique to regress macroeconomic fundamental variables on individual and institutional investor sentiments to decompose the sentiment variables into rational and irrational components. …”
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  14. 1634

    Validation and Discriminant Analysis of the Athens Insomnia Scale in Older Adults by Huseyin Elbi, Melike Batum, Ece Ozlem Oztürk, Merve Vatansever Balcan, Ayşin Kisabay Ak, Hikmet Yilmaz, Omer Aydemir

    Published 2025-06-01
    “…Its two‐dimensional structure distinguishes nocturnal sleep problems and their effects on daytime functionality.…”
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  15. 1635

    Correlation between Electrochemical Relaxations and Morphologies of Conducting Polymer Dendrites by Antoine Baron, Enrique H. Balaguera, Sébastien Pecqueur

    Published 2024-01-01
    “…Correlations are established between dispersive capacitances of dendritic morphologies and growth duration, independently from exogenous physical variables: distance, evaporation or aging. Deviation of the anomalous capacitance from the conventional Debye dielectric relaxation can be programmed, as the growth controls the dispersion coefficient of the dendrite's constant-phase elements relaxation. …”
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  16. 1636

    Removal of chromium from synthetic wastewater by electrocoagulation and using natural coagulant (blend of hen eggshell powder with lime): optimization of response surface methodolo... by Werkne Sorsa Muleta, Firomsa Bidira Abdi, Endrias Adane Bekele

    Published 2025-02-01
    “…The central composite design of the response surface methodology was employed to estimate and optimize process variables, such as initial Cr concentration (225–475 mg/L), solution pH (5–9), and current density (0.35–045 A/m2), and treatment time (30–40 min) with an electrode distance (ED) of 0.5 and 1 cm, respectively. 99.90% and 99.74% of removal efficiencies were observed at initial Cr concentration of 456.11 mg/L, a solution pH of 5.45, with current density of 0.47 A/m2, and treatment time of 36.84 min. …”
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  17. 1637

    COMPARATIVE ANALYSIS OF THE ACADEMIC PERFORMANCE IN THE AGRICULTURAL UNIVERSITIES FROM ROMANIA AND REPUBLIC OF MOLDOVA USING THE NONPARAMETRIC METHOD OF DATA ENVELOPMENT ANALYSIS by Ilie CERCEL, Gina FÎNTÎNERU, Elena TOMA, Augustin VOLCONOVICI, Alla CHIRSANOVA, Anatol RACUL

    Published 2019-01-01
    “…As a result of analyzing the academic performance rating by option variable returns to scale, it is possible to determine the resources for improving staff activity by evaluating the distance function for each causal factor.…”
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  18. 1638

    Statistical mechanics of dynamical system identification by Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

    Published 2025-08-01
    “…To establish this analogy, we define the hyperparameter optimization procedure as a two-level Bayesian inference problem that separates variable selection from coefficient inference and enables the computation of the posterior parameter distribution in closed form. …”
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  19. 1639

    Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method by Lihong Rong, Yuexin Pan, Zhimin Tong

    Published 2025-05-01
    “…To alleviate network congestion and optimize communication resources, the Round-Robin protocol is adopted to schedule data transmission efficiently. By constructing a Lyapunov–Krasovskii functional and applying the discrete Wirtinger inequality, sufficient conditions are derived to ensure the mean square exponential stability and dissipative performance of the system. …”
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  20. 1640

    Agricultural Waste–Derived Biochar for Antibiotics Removal in Aqueous Environment: A Comprehensive Outlook by Varalakshmi Varatharajan, Karthik V., Selvakumar Periyasamy

    Published 2025-01-01
    “…The key elements influencing antibiotic adsorption on biochar, including surface chemistry, pyrolysis conditions, and environmental variables, were discussed in detail. This review focuses specifically on the functional modification of the biochar, the mechanism involved in antibiotic adsorption, and the scalability of this process. …”
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