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Showing 1,021 - 1,040 results of 2,280 for search '(variable OR variables) function (coefficient. OR efficient.)', query time: 0.21s Refine Results
  1. 1021

    Analyzing the influence of TOE factors on e-auditing adoption in audit firms: The moderating effect of trust by Reem Al-Araj

    Published 2025-01-01
    “…Data show that trust functions as a supportive variable for the relationship between TOE and e-auditing but provides minimal strength. …”
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  2. 1022

    Stability analysis of the inner dump with inclined base considering anti-slip pillar by Li MA, Xinyu JIN, Qifeng ZHANG, Kaisheng JIANG, Mengbo LI, Yan HU

    Published 2024-10-01
    “…Taking the angle of inclination of the basement stratum and the discharge height of the soil disposal site as the variables for research, it was obtained that the angle of inclination of the basement stratum α or the height of the soil disposal H and the slope stability coefficient Fs were negatively correlated with the inverse proportionality function, the angle of inclination of the basement stratum had a greater influence on the slope stability, and the height of the discharge height of the soil disposal site had a second greater influence on the stability of the slope. …”
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  3. 1023

    ANALYSIS AND OPTIMIZATION OF QUICK-RETURN CHARACTERISTICS OF THE BEATING⁃UP SLEY BASED ON MULTIVARIABLE DESIGN by QIU HaiFei

    Published 2024-10-01
    “…For improving the quick‑return characteristics of the sley movement,an optimal mathematical model for maximum curve displacement Sm of the connectingarm pin was proposed through beating‑up principle analysis and mechanism deduction.A multivariable design space was constructed by use of the component length(lc,lh,lr,lf)and crankangleα.The parametric functional model development of the four‑bar beating‑up with short connecting rod was realized,and its kinematic posture and centroid trajectory were analyzed and verified through mechanism simulation.The results of the case study indicate that the variable lc andαhave more greater influence on the sensitivity of the objective function F(X),and multivariable(DV_1,DV_2,DV_3)coupling can effectively enhance the design plasticity of the quick‑return characteristics of the sley.When the maximum curve displacement Sm of the connectingarm pin increases to 71.41 mm,the extreme position angleθand the travel speed ratio coefficient K are increased by 10.96°and 0.131 respectively,and the quick-return motion effect of the sley is obviously improved.The optimization results accord with the conditions of rod length and mechanism transmission requirement,which are conductive to the design innovation and performance improvement of the four‑bar beating‑up system.…”
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  4. 1024

    A Computational Approach to Increasing the Antenna System’s Sensitivity in a Doppler Radar Designed to Detect Human Vital Signs in the UHF-SHF Frequency Ranges by David Vatamanu, Simona Miclaus

    Published 2025-05-01
    “…In the context of Doppler radar, studies have examined the changes in the phase shift of the S<sub>21</sub> transmission coefficient related to minute movements of the human chest as a response to breathing or heartbeat. …”
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  5. 1025

    Analisis Kualitas Website Balai Besar Taman Nasional Gunung Gede Pangranggo (BBTNGGP) menggunakan Metode Webqual 4.0 by Muhammad Syahid Qadhafi, Atit Pertiwi

    Published 2022-08-01
    “…The results of the analysis of the quality of this website concluded that the variable usability and information quality had a good value compared to the variable service interaction quality. …”
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  6. 1026

    HEART AND VESSEL REMODELING IN DIFFERENT AGE GROUPS OF PATIENTS WITH ARTERIAL HYPERTENSION by V. N. Kandilova

    Published 2019-12-01
    “…The Spearman rank correlation coefficient (r) was used to estimate the relationship between these variables. …”
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  7. 1027

    Assessment of the social capital impact on the household income of the Russian Federation regions by N. Е. Karmanova, A. V. Koritskiy

    Published 2019-11-01
    “…The authors propose a methodological approach that distinguishes the study from other economists – this is mathematical modeling using the extended Cobb-Douglas production function with the inclusion of indicators representing human and social capital in the number of independent variables of this function. …”
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  8. 1028

    Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

    Published 2024-11-01
    “…The results show that compared with the midpoint-radius kernel PCA, the kernel local preservation projection and interval kernel global-local feature fusion algorithms, the proposed method has a good monitoring effect on the single variable simulation fault, the multi-variable pick loss and the waterway blockage fault of shearers. …”
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  9. 1029

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

    Published 2022-12-01
    “…All the variables were non stationary at level and integrated of order I (1), and then co-integration test was conducted to ensure the existence of long-run relationship using Johansen’s approach. …”
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  10. 1030

    Patients' satisfaction, expectation, care, and maintenance of fixed prosthesis by Nada Kashbur, Iman Bugaighis

    Published 2019-01-01
    “…Descriptive statistics and Spearman rank correlation coefficient tests were undertaken between the examined variables. …”
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  11. 1031

    Economics production buffalo breeding farms in the province of Nineveh (Badush area a case stady) by Salim AL- Nuaimy, Zwaid, F. Abd, Mahasen, M, Sultan

    Published 2018-12-01
    “…Results of the estimation showed that the double logarithmic formula is the best formula for the representation of production function and that the function and all the explanatory variables are statistically significant except for green feed and veterinary services.The most significant effect of the employment variable was on the production process، with  elasticity of 0.277 and  positive indication، and the results of the cost function estimate the best formulas to represent the relationship. …”
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  12. 1032

    Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

    Published 2025-04-01
    “…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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  13. 1033

    Enhanced Stability and Control of Solar Powered EV Charging Stations Using Disturbance Observer-Based Adaptive Sliding Mode Control for DC Voltage Stabilization by Surabhi Bagherwal, Subhasish Mahapatra

    Published 2024-01-01
    “…To address the chattering issue, a barrier function based SMC (BFSMC) approach is proposed. The distinctive aspects of this BFSM control approach is its capability to stabilize the designed sliding variable to a predefined neighbourhood around the origin within a limited duration, eliminating the need for prior understanding of the maximum limit of the lumped disturbance. …”
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  14. 1034

    First-principles investigation on structural, electronic, and optical properties of (Cd1-xZnx)3As2 by Yu Deng, Xun Ge, Rongxiu Feng, Yunye Liang, Xiaohao Zhou

    Published 2025-01-01
    “…Calculations on the optical properties (dielectric function, absorption coefficient) of (Cd1-xZnx)3As2 show that it behaves well in the near infrared and far infrared. …”
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  15. 1035

    Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning by Tingwei Song, Liang Guo, Qian Sun, Guizhen Gao, Jing Chen, Qikun Zhang

    Published 2025-07-01
    “…This study is the first to jointly incorporate high-order spectral derivatives and uncertainty analysis into the modeling of SWHC in wild fruit forests, underscoring the advantages of spectral feature enhancement and variable perturbation analysis for improving model stability. …”
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  16. 1036

    Enhancing Thermal–Hydraulic Performance in Nuclear Reactor Subchannels with Al<sub>2</sub>O<sub>3</sub> Nanofluids: A CFD Analysis by Mohammad A. I. Sardar, Mushfiqur Rahman, Philip Rubini

    Published 2024-11-01
    “…The effects of variable velocities on nanofluid performance have been studied using different Reynolds numbers of 20,000, 40,000, 60,000, and 80,000. …”
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  17. 1037

    Autonomous obstacle avoidance of underground coal mine transport robots based on intrinsic motivation reinforcement learning algorithm by ZHAO Kebao, LI Lingfeng, CHEN Zhuo, HAN Jun, YIN Rui

    Published 2025-06-01
    “…Existing robot obstacle avoidance methods mostly rely on preset rules or external reward signals, making it difficult to adapt to the complex and variable underground environment in coal mines. To achieve autonomous and efficient obstacle avoidance for underground coal mine transport robots, an autonomous obstacle avoidance method for underground coal mine transport robot based on Intrinsic Motivation Reinforcement Learning (IM-RL) algorithm was proposed. …”
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  18. 1038

    Sparse Learning of the Disease Severity Score for High-Dimensional Data by Ivan Stojkovic, Zoran Obradovic

    Published 2017-01-01
    “…This problem is solved by addressing a dual formulation which is smooth and allows an efficient optimization. The proposed approach might be used as an effective and reliable tool for both scoring function learning and biomarker discovery, as demonstrated by identifying a stable set of genes related to influenza symptoms’ severity, which are enriched in immune-related processes.…”
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  19. 1039

    Modelling Geographically Weighted Truncated Spline Regression Using Maximum Likelihood Estimation for Human Development Disparities by Laode Muhammad Saris, Henny Pramoedyo, Adji Achmad Rinaldo Fernandes

    Published 2025-03-01
    “…Among these, the Bi-Square weighting function performed the best, achieving a coefficient of determination of 99.999%, demonstrating the model’s capability to explain nearly all data variability effectively. …”
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  20. 1040