يعرض 1 - 20 نتائج من 528 نتيجة بحث عن '(functional OR function) testing', وقت الاستعلام: 0.07s تنقيح النتائج
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    Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling حسب Bettina Karsten (2576641)

    منشور في 2021
    "…<div><p>To investigate the agreement between critical power (CP) and functional threshold power (FTP), 17 trained cyclists and triathletes (mean ± SD: age 31 ± 9 years, body mass 80 ± 10 kg, maximal aerobic power 350 ± 56 W, peak oxygen consumption 51 ± 10 mL⋅min–1⋅kg–1) performed a maximal incremental ramp test, a single-visit CP test and a 20-min time trial (TT) test in randomized order on three different days. …"
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    The independent effects of age and sex in performance fatigability profile after a ramp incremental cycling test حسب Rafael A. Azevedo (22504088)

    منشور في 2025
    "…<h3>Purpose</h3><p dir="ltr">To investigate the effects of age and sex in performance fatigability profile after a ramp incremental (RI) test.</p><h3>Methods</h3><p dir="ltr">Older females (<i>n</i> = 13; 66 ± 5 yrs) and males (<i>n</i> = 13; 68 ± 4 yrs), and young females (<i>n</i> = 11; 25 ± 5 yrs) and males (<i>n</i> = 12; 25 ± 4 yrs) performed a RI test immediately preceded and followed by performance fatigability assessments that included: knee-extension isometric maximal voluntary contraction (IMVC) and femoral nerve electrical stimuli during and after the IMVC to calculate voluntary activation (VA) and contractile function (e.g., potentiated doublets at 10 and 100 Hz, and single twitches). …"
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    An ABC-SPSO Hybrid Algorithm for Continuous Function Optimization حسب El-Abd, Mohammed

    منشور في 2011
    "…All the algorithms are applied to the well-known CEC05 benchmark functions and compared based on three different metrics.…"
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    LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING حسب Bendaya, M.

    منشور في 2020
    "…Preliminary testing shows that the proposed procedure is superior to some other linesearch methods developed specifically for the logarithmic barrier function in the literature.…"
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    A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

    منشور في 2020
    "…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. Each iteration in the algorithm consists of a single Newton step followed by a reduction in the value of the penalty parameter. …"
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    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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    Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

    منشور في 2022
    "…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"
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    Agenesis, functional deficiency and the common type of the flexor digitorum superficialis of the little finger حسب Yammine, K.

    منشور في 2008
    "…An expanded examination technique proved to be the most accurate test for FDS function. In case of injury, inadequate knowledge of different connections or substitutions of the FDS-5 could lead to a total loss of flexion of the little finger. …"
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    P-glycoprotein expression and function are increased in an animal model of amyotrophic lateral sclerosis حسب Milane, Aline

    منشور في 2010
    "…In the present study, we used a transgenic mouse model of ALS (G86R mSOD1 mice) to test this hypothesis. Expression and functionality of P-glycoprotein (ABCB1, P-gp) and Breast Cancer Resistance Protein (ABCG2, BCRP), two major efflux pumps, were studied. …"
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    Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems حسب M. Sajid (3070545)

    منشور في 2024
    "…<p dir="ltr">The random vector functional link (RVFL) neural network has shown the potential to overcome traditional artificial neural networks' limitations, such as substantial time consumption and the emergence of suboptimal solutions. …"