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Showing 1,641 - 1,660 results of 2,280 for search '(( variable function efficient. ) OR ( variables function coefficient. ))*', query time: 0.14s Refine Results
  1. 1641

    Expression variation and covariation impair analog and enable binary signaling control by Kyle M Kovary, Brooks Taylor, Michael L Zhao, Mary N Teruel

    Published 2018-05-01
    “…Such high variation is beneficial for population‐level regulation of cell functions but abolishes accurate single‐cell signal transmission. …”
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  2. 1642

    The Effect of Rural Guide Plan on Objective Quality of Life among Rural Communities in Fariman County by Aliakbar Anabestani, Hamdollah Sojasi Qeidari, Fahime Jafari

    Published 2016-12-01
    “…According to the results of Pearson's correlation tests, the findings of present study showed a significant and strong correlation between implementation of rural guide plan and the mental facet of life quality by a 0.75 correlation coefficient, so that rural guide plan explained 57% of the variation of dependent variable, and among guide plan dimensions the changing environmental rural affected the objective improvement of life quality of villagers by 29 percent. …”
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  3. 1643

    On optimization of substrate removal in a bioreactor with wall attached and suspended bacteria by Alma Mašić, Hermann J. Eberl

    Published 2014-05-01
    “…These control functions start with an initial no-flow period and then switch to a constant flow rate until the buffer vessel is empty. …”
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  4. 1644

    rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasets. by Alexander Pate, Rosa Parisi, Evangelos Kontopantelis, Matthew Sperrin

    Published 2025-01-01
    “…Functions are available to extract common variable types (e.g., history of a condition, or time until an event occurs, relative to an index date), and more general functions for database queries, allowing users to define their own variables for extraction. …”
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  5. 1645

    Robust IoT Activity Recognition via Stochastic and Deep Learning by Xuewei Wang, Shihao Wang, Xiaoxi Zhang, Chunsheng Li

    Published 2025-04-01
    “…Our approach begins with a rigorous preprocessing pipeline—encompassing filtering and normalization—to enhance data quality, followed by the application of probability density functions and key statistical measures to capture intrinsic sensor characteristics. …”
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  6. 1646

    Factors Determining Trade Credit Dynamics During Crisis: Panel Data Analysis for Macedonian Firms by F. Deari, V. V. Lakshina

    Published 2019-05-01
    “…The study includes a review of the literature on commercial credit factors; elaborately analyzed descriptive statistics of the collected data and dependent variable variance; tests for unobservable effects and their functional form; evaluation of panel regression and interpretation of the results. …”
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  7. 1647

    定中心距齿轮参数优化设计 by 李云鹏, 张科, 邓晓丽

    Published 2012-01-01
    “…Under the constant center distance conditions,according to the use of the transmission system requirements,selection of the appropriate design variables,constraint conditions and the objective function and using the complex method,the tooth parameters optimization design is carried out.Through the program,the optimized tooth parameter is calculated,the design efficiency is improved.…”
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  8. 1648

    Fuzzy System for the Quality Assessment of Educational Multimedia Edition Design by Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova, Iryna Pikh

    Published 2025-04-01
    “…A multilevel model of fuzzy logical inference is constructed, representing the dependency between quality factors. Membership functions for linguistic variables are formed and their weight coefficients are determined using pairwise comparison matrices. …”
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  9. 1649

    Rehabilitation impact indices and their independent predictors: a systematic review by Amardeep Thind, Gerald Choon-Huat Koh, Robert Petrella, Cynthia Huijun Chen

    Published 2013-09-01
    “…Then, various names of the same formula were used to identify studies, limited to articles in English and up to 31 December 2011, including case–control and cohort studies, and controlled interventional trials where RIIs were outcome variable and matching or multivariate analysis was performed.Results The five RIIs identified were (1) absolute functional gain (AFG)/absolute efficacy/total gain, (2) rehabilitation effectiveness (REs)/Montebello Rehabilitation Factor Score (MRFS)/relative functional gain (RFG), (3) rehabilitation efficiency (REy)/length of stay-efficiency (LOS-EFF)/efficiency, (4) relative functional efficiency (RFE)/MRFS efficiency and (5) revised MRFS (MRFS-R). …”
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  10. 1650

    Optimum Design of RC Beams Strengthened with Externally Bonded FRP Using Pattern Search by Noor Mohammed Sheet, Baraa J. M. AL-Eliwi, Rabi M. Najem

    Published 2025-03-01
    “…The design process involved an objective function that represents the cost function of the optimum solution and design variables that define the optimum dimensions of the beam and FRP material, such as beam width, effective beam depth, FRP strip thickness, FRP strips spacing, and FRP strip width, according to the design constraints of the ACI 440-2R-17 code. …”
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  11. 1651

    Preventive-Corrective Control for Static Voltage Stability Under Multiple <tex>$N-1$</tex> Contingencies Considering Wind Power Uncertainty by Yuerong Yang, Shunjiang Lin, Qiong Wang, Mingbo Liu, Qifeng Li

    Published 2025-01-01
    “…The chance constraints of the static voltage stability margins (SVSMs) in the normal operation state and after each <tex>$N-1$</tex> contingency are included. The approximate functions between the probability density functions (PDFs) of SVSMs and load shedding quantity with respect to preventive control variables are obtained to transform the expectation of load shedding quantity and the SVSM chance constraints into deterministic expressions. …”
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  12. 1652

    Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

    Published 2024-12-01
    “…Then, the probability density function and noise probability density function of Gaussian noise are calculated to determine the hybrid noise feature points of color image. …”
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  13. 1653
  14. 1654

    Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model by Jiandong Huang, Tianhong Duan, Yi Zhang, Jiandong Liu, Jia Zhang, Yawei Lei

    Published 2020-01-01
    “…The results showed that the hyperparameters of RF can be tuned by the BAS efficiently; the BAS can combine the conventional RF algorithm to construct the evolved model to predict the permeability of pervious concrete; the cement/aggregate ratio was the most significant variable to determine the permeability, followed by the coarse aggregate proportions.…”
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  15. 1655

    The Analysis of the Effective Factors on Urban Blight in District 3, Region 12, Tehran City by Hossein Mansourian, Ahmad Pour Ahmad, Hasan Ashouri

    Published 2019-09-01
    “…Moreover, a factor analysis was employed to reduce the number of independent variables and identify the urban blight dimensions. …”
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  16. 1656

    Advances in nursing care for post-stroke limb dysfunction rehabilitation by Jie Bai, Kecheng Chen

    Published 2025-07-01
    “…Clinically validated assessment tools demonstrate variable utility across recovery phases, with the Pittsburgh Rehabilitation Participation Scale offering efficiency in acute settings and the Motivation in Stroke Patients for Rehabilitation Scale providing comprehensive evaluation during subacute and chronic phases. …”
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  17. 1657

    Degradation of Tetracycline in Wastewater by Persulfate Activated by Sulfidated Nanometer Zero-valent Iron by Qiuyue YE, Zhengchun HU, Ziyi WANG, Wen XU, Shiyi ZHAO, Xuying DENG, Minghao GUO, Na GUO, Bing LIAO

    Published 2024-07-01
    “…Sulfidated zero-valent iron (S–nZVI) has been extensively utilized in wastewater treatment in recent years due to its superior electron transfer efficiency and selectivity. Integrating S–nZVI with advanced oxidation technology enhances the catalytic performance of the material, leading to efficient pollutant degradation. …”
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  18. 1658

    Mechanical Properties and Statistical Damage Constitutive Model of Rock under a Coupled Chemical-Mechanical Condition by Yun Lin, Feng Gao, Keping Zhou, Rugao Gao, Hongquan Guo

    Published 2019-01-01
    “…To investigate the mechanical damage evolution process of rock under a coupled chemical-mechanical (CM) condition, an improved statistical damage constitutive model was established using the Drucker-Prager (D-P) strength criterion and two-parameter Weibull distribution. The damage variable correction coefficient and chemical damage variable which was determined by porosity were also considered in the model. …”
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  19. 1659

    Optimization of Configuration Design for Underwater Dam Defect Detection Vehicles by Hong-Xia Cheng, Mei-Jie Cao, Peng-Fei Xu, Yan Kai, Zi-Peng Wang, Gang Wan, Qiao Hu

    Published 2025-01-01
    “…Additionally, various configurations were generated using a free deformation method. An optimization function was established with resistance and stability as the objectives, and the optimal result was derived based on the function’s calculation outcomes. …”
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  20. 1660

    Optimizing Load Frequency Control of Multi-Area Power Renewable and Thermal Systems Using Advanced Proportional–Integral–Derivative Controllers and Catch Fish Algorithm by Saleh A. Alnefaie, Abdulaziz Alkuhayli, Abdullah M. Al-Shaalan

    Published 2025-05-01
    “…Additionally, by contrasting the performance of the PID, PI, cascaded PI(PDN), and FOPID, PI(1+DD) controllers, the efficiency of the CFA is confirmed. Additionally, a sensitivity analysis that considers simultaneous modifications of the frequency bias coefficient (B) and speed regulation (R) within a range of ±25% validates the efficacy and dependability of the suggested CFA-tuned PI(1+DD). …”
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