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Showing 561 - 580 results of 2,133 for search 'variable function ((co(efficient. OR efficiency.) OR coefficiency.) OR (efficient. OR efficiency.))', query time: 0.28s Refine Results
  1. 561

    Anapc5 and Anapc7 as genetic modifiers of KIF18A function in fertility and mitotic progression by Carleigh Nesbit, Whitney Martin, Anne Czechanski, Candice Byers, Narayanan Raghupathy, Ardian Ferraj, Jason Stumpff, Laura Reinholdt

    Published 2025-07-01
    “…In cell line models, we found that depletion of KIF18A induced mitotic arrest, which was partially rescued by co-depletion of ANAPC7 (APC7) and exacerbated by co-depletion of ANAPC5 (APC5). …”
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    Influence of EEG-based functional connectivity and inhibitory control on educational web search performance among adolescents by Надежда Владимировна Сутормина

    Published 2024-09-01
    “…EEG was recorded at rest with eyes closed to determine the metrics of functional connectivity in the EEG sensor space. The following connectivity metrics were used for further analysis: global efficiency, modularity, and assortativity. …”
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  6. 566

    A Focusing Algorithm in Automatic Microscope by LIANG Long-kai, ZHAO Jing, HE Yong-jun

    Published 2018-04-01
    “…Then the proposed evaluation functions are applied to realize the variable step climbing search strategy. …”
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  7. 567

    On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling by Saddam Hussain, Mi Zichuan, Sardar Hussain, Anum Iftikhar, Muhammad Asif, Sohail Akhtar, Sohaib Ahmad

    Published 2020-01-01
    “…In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. …”
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  8. 568

    Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization by Markus Gabl, Immanuel M. Bomze

    Published 2024-01-01
    “…Modeling parts of an optimization problem as an optimal value function that depends on a top-level decision variable is a regular occurrence in optimization and an essential ingredient for methods such as Benders Decomposition. …”
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  9. 569

    Detecting changes in retinal function: Analysis with Non-Stationary Weibull Error Regression and Spatial enhancement (ANSWERS). by Haogang Zhu, Richard A Russell, Luke J Saunders, Stefano Ceccon, David F Garway-Heath, David P Crabb

    Published 2014-01-01
    “…Furthermore, the spatial correlation utilised in ANSWERS was shown to improve the ability to detect deterioration, compared to equivalent models without spatial correlation, especially in short follow-up series. ANSWERS is a new efficient method for detecting changes in retinal function. …”
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    Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

    Published 2025-09-01
    “…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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    Tumor suppressing function of SLC16A7 in bladder cancer and its pan-cancer analysis by Mingjie Xu, Jiatong Zhou, Jiancheng Lv, Yu Zhang

    Published 2025-05-01
    “…To investigate the immunological role of SLC16A7, co-culture experiments were performed between BCa cells and activated CD8 + T cells. …”
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  14. 574

    ANALYTICAL SYNTHESIS OF FORCED PULSE ELECTRONIC DRIVE CONTROL OF A TRACKING SYSTEM by A. S. Abufanas, A. A. Lobaty, Y. F. Yacina

    Published 2018-02-01
    “…Key words: forced control, target function, electric drive, pulse train. The use of forced control makes it possible to synthesize the control law in the form of a sequence of rectangular pulses of constant amplitude determined by the power source, variable duty cycle and polarity. …”
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  15. 575

    Evaluation the correlation between Inulin and Cystatin C with kidney function tests and GFR in patients with renal disorders by Nawar Mohsin Abd-alaziz, Wasan Nazhan Hussein

    Published 2020-03-01
    “… Background: Kidneys are important organs in the human body because of their great importance in assisting the body to remove waste products that resulting from food metabolism through renal filtration of blood plasma from unwanted substances and excreted through diuresis and recover substances that body needs to the blood, relative effectiveness of the kidney can be estimated by measuring the efficiency of glomerular filteration rate (GRF), represented by amount of inulin filtrate into renal tubules for a specified period of time, any difference in normal value indicates the presence of a disorder in the kidney, which affects on performance of its functions and occurrence of imbalance in internal environment of the body, and leads to disrupting functions of other parts of the body, measuring rate of renal filtration is one of the best ways to know function of the kidneys and diagnose various kidney diseases and prevent their development. …”
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  16. 576

    Functional role of cell classes in monkey prefrontal cortex after learning a working memory task by Amirreza Asadi, Christos Constantinidis, Mohammad Reza Daliri

    Published 2025-05-01
    “…Another broad-spiking subtype showed decreased baseline firing rate and variability, which may optimize neural coding efficiency. …”
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    Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

    Published 2025-08-01
    “…The findings support the integration of these advanced predictive tools in clinical settings to better guide decision making for patients and families, tailor rehabilitation plans, allocate resources efficiently, and ultimately improve patient outcomes.…”
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