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  • SAGE Publications  (5)
  • 1
    Online Resource
    Online Resource
    Efficacy and safety of biologic agents for the treatment of osteoarthritis: a meta-analysis of randomized placebo-controlled trials
    SAGE Publications ; 2022
    In:  Therapeutic Advances in Musculoskeletal Disease Vol. 14 ( 2022-01), p. 1759720X2210803-
    Details
    In: Therapeutic Advances in Musculoskeletal Disease, SAGE Publications, Vol. 14 ( 2022-01), p. 1759720X2210803-
    Abstract: We aimed to evaluate the efficacy and safety of biologic agents targeting three main cytokines, that is, nerve growth factor (NGF), interleukin-1 (IL-1), and tumor necrosis factor-α (TNF-α), for osteoarthritis (OA) treatment. Methods: Databases (PubMed, Embase, and Cochrane Library) and ClinicalTrials.gov were systematically searched for randomized placebo-controlled trials (RCTs) of biologic agents from inception to November 15, 2020. The outcomes were the mean change in pain, function scores, and the risk of adverse effects (AEs). Results: Out of the 28 studies with 29 RCTs (8555 individuals) included, biologic agents were superior to placebo in pain relief (standardized mean difference [SMD] = 0.28, 95% confidence interval [CI]  = 0.17–0.38, p  〈  0.001) and function improvement (SMD = 0.30, 95% CI = 0.18–0.43, p  〈  0.001). The incidence of any AEs (risk ratio [RR] = 1.09, 95% CI = 1.05–1.14, p  〈  0.001) and discontinuations due to AEs (RR = 1.39, 95% CI = 1.05–1.83, p = 0.021) were higher following treatment with biologic agents while no significant difference was found in serious AEs. Subgroup analyses showed that NGF inhibitors provided superior pain relief (SMD = 0.36, 95% CI = 0.26–0.47, p  〈  0.001) and function improvement (SMD = 0.41, 95% CI = 0.30–0.51, p  〈  0.001), whereas IL-1 inhibitors and TNF-α inhibitors did not. Meanwhile, NGF inhibitors increased the incidence of any AEs (RR = 1.12, 95% CI = 1.07–1.17, p  〈  0.001) and discontinuations due to AEs (RR = 1.48, 95% CI = 1.07–2.06, p = 0.018). IL-1 inhibitors and TNF-α inhibitors showed no difference in safety compared with placebo. Conclusions: The efficacy and safety of biologic agents vary by mechanism of action. NGF inhibitors can relieve OA-related pain and improve function but involve safety concerns. IL-1 inhibitors and TNF-α inhibitors are relatively safe options but with limited efficacy.
    Type of Medium: Online Resource
    ISSN: 1759-720X , 1759-7218
    URL: Article
    DOI: 10.1177/1759720X221080377
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2516075-8
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Interactive parameter estimation for output error moving average systems
    SAGE Publications ; 2013
    In:  Transactions of the Institute of Measurement and Control Vol. 35, No. 1 ( 2013-02), p. 34-43
    Details
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 35, No. 1 ( 2013-02), p. 34-43
    Abstract: In this paper we study parameter estimation problems for the output error moving average systems. In order to reduce calculation loads of the existing identification methods, an interactive stochastic gradient (ISG) algorithm is presented to estimate the parameters of the system model and the noise model, respectively, based on the interactive estimation theory. Since the ISG algorithm possesses a slow convergence rate and poor estimation accuracy, interactive gradient-based and interactive least-squares-based iterative algorithms are derived to enhance the parameter estimation performances of the ISG algorithm. The simulation results illustrate the effectiveness of the proposed algorithms.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    URL: Article
    DOI: 10.1177/0142331211406604
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Driving Style Classification and the Effectiveness of Advanced Driving Assistance Systems: Differences between Teen and Adult Drivers
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board
    Details
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Advanced driving assistance systems (ADAS) are designed to reduce potential crash risks and enhance driving safety. However, drivers’ interactions with ADAS may vary depending on their individual driving styles and characteristics. This study proposes a novel approach to classifying driving styles and explores how age and gender affect interactions with ADAS. The study utilized two naturalistic driving data sets comprising 148 drivers from four age groups: teens; younger adults; middle-aged adults; and older adults. Data were collected during two periods: baseline (without ADAS); and treatment (with ADAS). First, the K-means clustering algorithm was employed to divide trips into one conservative and two aggressive groups based on three driving behavior metrics: tailgating; speeding; and lane-changing. The aggressive-trip ratios were then calculated for each driver during each of the two periods. The Bayesian Gaussian mixture model was applied to determine the threshold values of the aggressive-trip ratios to classify drivers as conservative, moderate, or aggressive during each period. This allowed for identifying changes in driving style upon the activation of ADAS. The subsequent multinomial logistic regression model results showed that driving styles vary across age groups, with teens being the most aggressive drivers. Certain changes in driving style were observed, with some conservative drivers becoming aggressive or moderate and some aggressive drivers becoming conservative or moderate, but these differences were statistically non-significant. The findings of this study indicate that warning-based ADAS may not elicit significant changes in driving style, particularly among teenage drivers who are consistently the most aggressive drivers.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    URL: Article
    DOI: 10.1177/03611981231169525
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Gradient-based iterative identification for nonuniform sampling output error systems
    SAGE Publications ; 2011
    In:  Journal of Vibration and Control Vol. 17, No. 3 ( 2011-03), p. 471-478
    Details
    In: Journal of Vibration and Control, SAGE Publications, Vol. 17, No. 3 ( 2011-03), p. 471-478
    Abstract: The state-space models are derived for nonuniformly sampled data systems and the corresponding transfer function models are obtained. Since the information vector in the identification model contains unmeasurable true outputs, the conventional stochastic gradient algorithm cannot be applied. In order to overcome this difficulty, the gradient-based iterative identification algorithms are presented by replacing the unmeasurable variables with their iterative estimates at the previous step. The simulation results show that the proposed algorithm has high estimation accuracy compared with the auxiliary model-based stochastic gradient algorithm.
    Type of Medium: Online Resource
    ISSN: 1077-5463 , 1741-2986
    URL: Article
    DOI: 10.1177/1077546310364993
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2011
    detail.hit.zdb_id: 2070247-4
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Analysis of dynamic stall control on a pitching airfoil using dynamic mode decomposition
    SAGE Publications ; 2023
    In:  Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy Vol. 237, No. 8 ( 2023-12), p. 1699-1714
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, SAGE Publications, Vol. 237, No. 8 ( 2023-12), p. 1699-1714
    Abstract: Dynamic mode decomposition (DMD) technology is used to analyze the control of dynamic stall on a pitching S809 airfoil using an off-surface rod. The unsteady flows around the original and the controlled airfoil are simulated by using the SST k-ω turbulence model. With the introduction of the off-surface rod, the hysteresis effect of the dynamic stall process of the original airfoil is considerably reduced, and the clockwise sub-loop of the pitching moment coefficient is eliminated. The improvement of the dynamic stall process is beneficial to the safe and high-efficiency operations of wind turbine. The coherent structure of the unsteady flow fields are decoupled by the DMD method compiled by an in-house code in MATLAB. Results reveal that the hysteresis effect is dominated by mode 2 with a pitching frequency and mode 3 with twice the pitching frequency. The global energy of the two modes is reduced by the off-surface rod, which alleviates the hysteresis effect for the original airfoil.
    Type of Medium: Online Resource
    ISSN: 0957-6509 , 2041-2967
    URL: Article
    DOI: 10.1177/09576509231177103
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2024892-1
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