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Showing 441 - 460 results of 2,280 for search 'variable function (((coefficient. OR coefficiency.) OR coefficiency.) OR efficient.)', query time: 0.17s Refine Results
  1. 441

    Radiographic and Functional Results following Subtalar Arthroereisis in Pediatric Flexible Flatfoot by David Ruiz-Picazo, Plácido Jiménez-Ortega, Francisco Doñate-Pérez, Natalia Gaspar-Aparicio, Victor García-Martín, José Ramírez-Villaescusa, Sergio Losa-Palacios

    Published 2019-01-01
    “…Two expert surgeons from the Pediatric Orthopedics Unit took separate measurements of these angles for subsequent analysis purposes and to obtain the interobserver correlation coefficient for quantitative variables. Pre- and postoperative differences in the measurement of angles were ascertained using Student’s t-test for paired samples; and a functional evaluation of the patients intervened was carried out pre- and postoperatively by administering the parent version of the Oxford Ankle Foot Questionnaire for Children (OxAFQ-C) during a clinical interview. …”
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  2. 442
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  6. 446

    Increased variability in response to transcranial direct current stimulation in healthy older compared to young adults: A systematic review and meta-analysis by Anna Elisabeth Fromm, Catalina Trujillo-Llano, Ulrike Grittner, Marcus Meinzer, Agnes Flöel, Daria Antonenko

    Published 2025-07-01
    “…Across 19 studies comprising 390 older adults (mean ± SD age: 67 ± 5 years) and 384 young adults (mean ± SD age: 24 ± 3 years) receiving transcranial direct current (tDCS), we quantified behavioral variability using the log-transformed coefficient of variation ratio (lnCVR). …”
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  7. 447

    A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications by Jimmy Reyes, Carolina Marchant, Karol I. Santoro, Yuri A. Iriarte

    Published 2025-05-01
    “…We analyze the probability density function and explore fundamental properties, including moments, skewness, and kurtosis coefficients. …”
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    Article
  8. 448

    Sexual Function and Quality of Life in Iranian Women With Human Papillomavirus Infection by Afsaneh Tehranian, Marzieh Vahid Dastjerdi, Sare Hatamian, Akram Ghahghaei-Nezamabadi

    Published 2024-10-01
    “…Variables were analysed via correlation coefficient and linear regression tests. …”
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    Article
  9. 449

    MScope: A Reliable Battery for Functional Status Assessment in Multiple Sclerosis by Daniel Lisardo, Susana López-Ortiz, Irati Jauregui-Fajardo, José Pinto-Fraga, Celia García-Chico, Alba Chavarría-Miranda, Nieves Téllez, Sergio Maroto-Izquierdo

    Published 2024-12-01
    “…Neuromuscular assessments showed strong reliability with minor day-to-day variability (ICC = 0.75–0.95, CV < 8%). The battery’s overall consistency supports its use as a reliable tool for assessing functional status in MS patients.…”
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  10. 450

    A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

    Published 2023-01-01
    “…However, since ON/OFF of the switch is determined through model-based cost function comparison, the switching frequency is variable and a separate modulator is not used. …”
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  11. 451

    Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

    Published 2024-09-01
    “…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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  12. 452

    Fuzzy Logic Technique Based on Classification Function Application in Quality Control by Salman Hussien Omran, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hassoon, Mohammed A. Fayad, Firas Basim Ismail

    Published 2025-01-01
    “…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
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  13. 453

    Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

    Published 2025-03-01
    “…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
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  14. 454

    Structural Analysis of Multi-Core Processor and Reliability Evaluation Model by Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez, Francisco Criado-Aldeanueva

    Published 2025-02-01
    “…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
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  15. 455

    Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

    Published 2024-10-01
    “…These indices include soil and plant analyzer development (SPAD), leaf area index (LAI), net photosynthetic rate (Pn), transpiration rate (Tr), intercellular CO<sub>2</sub> concentration (Ci), stomatal conductance (Gsw), photochemical quantum efficiency (PhiPS2), PSII reaction center excitation energy capture efficiency (Fv’/Fm’), and photochemical quenching coefficient (qP). …”
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  16. 456

    Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

    Published 2025-01-01
    “…Forage production is integral to the ecological and economic functions of rangeland ecosystems worldwide and is characteristically highly variable. …”
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  17. 457

    Dynamic Response Analysis of Asphalt Pavement under Pavement-Unevenness Excitation by Heng Liu, Xiaoge Liu, Ankang Wei, Yingchun Cai

    Published 2024-09-01
    “…This paper investigates and analyzes the dynamic response of asphalt pavement under pavement-unevenness excitation based on an orthogonal vector function system and efficient DVP (dual variable and position) method. …”
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  18. 458

    On the Growth Order and Growth Type of Entire Functions of Several Complex Matrices by M. Abul-Ez, H. Abd-Elmageed, M. Hidan, M. Abdalla

    Published 2020-01-01
    “…In this paper, we establish an explicit relation between the growth of the maximum modulus and the Taylor coefficients of entire functions in several complex matrix variables (FSCMVs) in hyperspherical regions. …”
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  19. 459

    Relationship between muscle strength and motor function in Duchenne muscular dystrophy by Milene F. Nunes, Michele E. Hukuda, Francis M. Favero, Acary B. Oliveira, Mariana C. Voos, Fátima A. Caromano

    Published 2016-07-01
    “…However, the relationship between these variables is controversial. Objective To investigate the relationship between muscle strength and motor function and between these variables and age. …”
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  20. 460

    Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

    Published 2025-04-01
    “…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
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