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  • SAGE Publications  (5)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2019
    In:  Advances in Mechanical Engineering Vol. 11, No. 1 ( 2019-01), p. 168781401882236-
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 11, No. 1 ( 2019-01), p. 168781401882236-
    Abstract: A new hybrid conjugate gradient method is proposed in this article based on the gradient operator and applied to the structural dynamic load identification problem. It has proved that the present method with the strong Wolfe line search possesses sufficient descent property. In addition, the present method is globally convergent when the parameter in the strong Wolfe line search conditions is restricted in some suitable intervals. Three example problems from engineering are solved by the newly developed conjugate gradient method to demonstrate the robustness and effectiveness of conjugate gradient method in solving multi-source dynamic load identification problems. Compared with the traditional Landweber iteration regularization method (Landweber), the proposed conjugate gradient method can more stably and effectively overcome the influences of noise, largely reduce the number of iterations, and provide accurate results in identifying multi-source dynamic force in practical engineering structure.
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2501620-9
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  International Journal of Distributed Sensor Networks Vol. 14, No. 11 ( 2018-11), p. 155014771881201-
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 14, No. 11 ( 2018-11), p. 155014771881201-
    Abstract: Time-dependent behavior of subcritical crack growth is one of the main characteristics in rocks. The double-torsion test is commonly used to study the slow crack growth behavior of brittle and quasi-brittle materials. However, double-torsion specimen is difficult to processing, the process of the laboratory test is irreversible, and the current numerical simulation is difficult to consider the time-dependent behavior, and so on. In view of all above problems, an idealized particle model was built, and the crack was identified in this article, based on the theory of particle flow. The numerical model was built using Particle Flow Code in 3 Dimensions, and the macromechanical and micromechanical parameters of the model were calibrated. The process of the macroscopic crack propagation and its evolution were analyzed. The intrinsic relations with the load, the displacement, and the time were established. The results show that the Particle Flow Code in 3 Dimensions can reproduce the time-dependent behavior of subcritical crack growth in double-torsion test. And, the peak and the law of the curves are in good agreement with the laboratory test results. Therefore, the Particle Flow Code in 3 Dimensions numerical simulation can be used as a new effective method to reveal the slow crack growth behavior, to get the relevant parameters such as V, K I , and K IC , and to build the relationship between V and K I . The results of this article will have some reference value for the simulation and application of double-torsion test.
    Type of Medium: Online Resource
    ISSN: 1550-1477 , 1550-1477
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2192922-1
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Therapeutic Advances in Respiratory Disease Vol. 15 ( 2021-01), p. 175346662110252-
    In: Therapeutic Advances in Respiratory Disease, SAGE Publications, Vol. 15 ( 2021-01), p. 175346662110252-
    Abstract: Physical inactivity is considered an important lifestyle factor for overweight and cardiovascular disease. We aimed to investigate the association between pre-existent physical inactivity and the risk of severe coronavirus disease 2019 (COVID-19). Methods: We included 164 (61.8 ± 13.6 years) patients with COVID-19 who were admitted between 15 February and 14 March 2020 in this retrospective study. We evaluated the association between pre-existent physical inactivity and severe COVID-19 using a logistic regression model. Results: Of 164 eligible patients with COVID-19, 103 (62.8%) were reported to be physically inactive. Univariable logistic regression analysis showed that physical inactivity was associated with an increased risk of severe COVID-19 [unadjusted odds ratio (OR) 6.53, 95% confidence interval (CI) 1.88–22.62]. In the multivariable regression analysis, physical inactivity remained significantly associated with an increased risk of severe COVID-19 (adjusted OR 4.12, 95% CI 1.12–15.14) after adjustment for age, sex, stroke, and overweight. Conclusion: Our data showed that pre-existent physical inactivity was associated with an increased risk of experiencing severe COVID-19. Our findings indicate that people should be encouraged to keep physically active to be at a lower risk of experiencing a severe illness when COVID-19 infection seems unpredicted. The reviews of this paper are available via the supplemental material section.
    Type of Medium: Online Resource
    ISSN: 1753-4666 , 1753-4666
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2387506-9
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Waste Management & Research: The Journal for a Sustainable Circular Economy Vol. 41, No. 9 ( 2023-09), p. 1435-1444
    In: Waste Management & Research: The Journal for a Sustainable Circular Economy, SAGE Publications, Vol. 41, No. 9 ( 2023-09), p. 1435-1444
    Abstract: Black soldier fly larvae (BSFL) hold great promise for sustainable management of meat and bone meal (MBM), a kind of organic waste. Harvested BSFL frass can be used as soil amendment or organic fertilizer. This study evaluated the quality and microbial profile in the frass of BSFL, fed with fish MBM containing 0% (CK), 1% (T1), 2% (T2) and 3% (T3) of rice straw. Results suggested straw addition into fish MBM had no significant impacts on BSFL weight; however, straw addition remarkably affected waste reduction and conversion efficiency, as well as physicochemical properties including electric conductivity, organic matter (OM) and total phosphorus contents in frass. Fourier transform infrared analysis indicated that increasing levels of cellulose and lignin might not be fully degraded or transformed by BSFL when more straw was introduced into substrates. Straw addition had hardly significant influences on microbial richness or evenness in BSFL frass, only T3 treatment remarkably elevated the phylogenetic diversity value more than the control. Bacteroidetes, Proteobacteria, Actinobacteria and Firmicutes were the most dominant phyla. Genera Myroides, Acinetobacter and Paenochrobactrum maintained high abundances in all frass samples. Elements including OM, pH and Na were key factors in shaping the microbiological characteristics of BSFL frass. Our findings helped to understand the effects of fish MBM waste manipulation on BSFL frass qualities and contributed to the further application of BSFL frass.
    Type of Medium: Online Resource
    ISSN: 0734-242X , 1096-3669
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 1480483-9
    detail.hit.zdb_id: 46937-3
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  • 5
    In: European Journal of Inflammation, SAGE Publications, Vol. 19 ( 2021-01), p. 205873922110270-
    Abstract: No prognostic tools for the prediction of COVID-19 pneumonia severity and mortality are available. We explored whether CURB-65, PSI, and APACHE-II could predict COVID-19 pneumonia severity and mortality. We included 167 patients with confirmed COVID-19 pneumonia in this retrospective study. The severity and 30-day mortality of COVID-19 pneumonia were predicted using PSI, CURB-65, and APACHE-II scales. Kappa test was performed to compare the consistency of the three scales. There was a significant difference in the distribution of the scores of the three scales ( P  〈  0.001). Patients with PSI class ⩽III, CURB-65 ⩽1, and APACHE-II-I all survived. The ROC analysis showed the areas under the curve of the PSI, CURB-65, and APACHE-II scales were 0.83 (95% CI, 0.74–0.93), 0.80 (95% CI, 0.69–0.90), and 0.83 (95% CI, 0.75–0.92), respectively. Our findings suggest that PSI and CURB-65 might be useful to predict the severity and mortality of COVID-19 pneumonia.
    Type of Medium: Online Resource
    ISSN: 2058-7392 , 2058-7392
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2584683-8
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