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Wyszukujesz frazę "Jiang, Yi" wg kryterium: Autor

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    Wyświetlanie 1-5 z 5
    Tytuł:
    The effect of teaching innovation on learning effectiveness among the students of Taiwan and Mainland China universities
    Autorzy:
    Huang, Yu-Ting
    Lee, Tzong-Ru
    Jiang, Yi-Jyu
    Powiązania:
    https://bibliotekanauki.pl/articles/633745.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    teaching innovation, learning effectiveness, grey relational analysis, cross-cultural research
    Opis:
    This paper presents a teaching innovation that has proved successful in stimulating the in-class participation and learning effectiveness of Asian students. The sample population of the research was the teachers and the students of universities in Taiwan and Mainland China. Convenience sampling was used. Grey Relational Analysis (GRA) was used to explore the feedback of learning course. The research results showed that (1) students in Taiwan and Mainland China both have a good confience in attendance and teamwork projects at the beginning of the course and; (2) Taiwanese students are confient in their own creativity and application ability at the beginning of the course and students from Mainland China have a regular habit of reading relevant marketing books.
    Źródło:
    International Journal of Synergy and Research; 2018, 7
    2083-0025
    Pojawia się w:
    International Journal of Synergy and Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Biochemical characterization of a catalase from Vibrio vulnificus, a pathogen that causes gastroenteritis
    Autorzy:
    Pei, Jihua
    Wang, Haijun
    Wu, Limin
    Xia, Shenglong
    Xu, Changlong
    Zheng, Bo
    Li, Tianya
    Jiang, Yi
    Powiązania:
    https://bibliotekanauki.pl/articles/1038620.pdf
    Data publikacji:
    2017
    Wydawca:
    Polskie Towarzystwo Biochemiczne
    Tematy:
    catalase
    Vibrio vulnificus
    kinetics
    mutation
    gastroenteritis.
    Opis:
    Vibrio vulnificus is a virulent human pathogen causing gastroenteritis and possibly life threatening septicemia in patients. Most V. vulnificus are catalase positive and can deactivate peroxides, thus allowing them to survive within the host. In the study presented here, a catalase from V. vulnificus (CAT-Vv) was purified to homogeneity after expression in Escherichia coli. The kinetics and function of CAT-Vv were examined. CAT-Vv catalyzed the reduction of H2O2 at an optimal pH of 7.5 and temperature of 35°C. The Vmax and Km values were 65.8±1.2 U/mg and 10.5±0.7 mM for H2O2, respectively. Mutational analysis suggests that amino acids involved in heme binding play a key role in the catalysis. Quantitative reverse transcription-PCR revealed that in V. vulnificus, transcription of CAT-Vv was upregulated by low salinity, heat, and oxidative stresses. This research gives new clues to help inhibit the growth of, and infection by V. vulnificus.
    Źródło:
    Acta Biochimica Polonica; 2017, 64, 3; 543-549
    0001-527X
    Pojawia się w:
    Acta Biochimica Polonica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Remaining useful life prediction with insufficient degradation data based on deep learning approach
    Autorzy:
    Lyu, Yi
    Jiang, Yijie
    Zhang, Qichen
    Chen, Ci
    Powiązania:
    https://bibliotekanauki.pl/articles/2038109.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    deep learning
    remaining useful life
    degradation data
    data amplification
    cycle-consistent generative adversarial network
    Opis:
    Remaining useful life (RUL) prediction plays a crucial role in decision-making in conditionbased maintenance for preventing catastrophic field failure. For degradation-failed products, the data of performance deterioration process are the key for lifetime estimation. Deep learning has been proved to have excellent performance in RUL prediction given that the degradation data are sufficiently large. However, in some applications, the degradation data are insufficient, under which how to improve the prediction accuracy is yet a challenging problem. To tackle such a challenge, we propose a novel deep learning-based RUL prediction framework by amplifying the degradation dataset. Specifically, we leverage the cycle-consistent generative adversarial network to generate the synthetic data, based on which the original degradation dataset is amplified so that the data characteristics hidden in the sample space could be captured. Moreover, the sliding time window strategy and deep bidirectional long short-term memory network are employed to complete the RUL prediction framework. We show the effectiveness of the proposed method by running it on the turbine engine data set from the National Aeronautics and Space Administration. The comparative experiments show that our method outperforms a case without the use of the synthetically generated data.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 4; 745-756
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effects of a water hammer and cavitation on vibration transients in a reservoir-pipe-valve system
    Autorzy:
    Miao, Yang
    Qiu, Zaihui
    Zhang, Xiaolu
    Jiang, Yuncheng
    Pan, Jun
    Liu, Yi
    Zhang, Li
    Li, Kun
    Powiązania:
    https://bibliotekanauki.pl/articles/2055065.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    reservoir-pipe-valve system (RPV system)
    water hammer
    vibration
    cavitation
    Opis:
    An extraordinary phenomenon with violent oscillation, accompanied by an abnormal “click” sound is observed during the valve closing in a fuel feeding pipe system. A fluctuation model with flow cavitation, in which time-varying stiffness, time-varying damping coefficients and flow cavitation are comprehensively considered, is proposed. On this basis, a dynamic vibration equation is established and an expression of flow pressure at the valve port is derived. The critical displacement of the flow cavitation system is defined. When the vibration amplitude reaches the critical displacement, cavitation occurs. Based on this model, simulation of vibration displacement and flow pressure is given. The simulated transient process shows the phenomena of vibration fluctuation with cavitation. The results are compared with the experimental data measured by a pressure sensor. Under our experimental conditions, the critical displacement of vibration is 1.41mm, and the average relative pressure peak error is 0.022. The comparison between the simulation and experimental results shows that they are in an acceptable agreement.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2021, 59, 4; 611--622
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Responses of plant species to different aboveground removal treatments with implications for vegetation restoration in the Mu Us Sandland (Inner Mongolia)
    Autorzy:
    Li, H.
    Yi, S.
    Lai, L.
    Zhou, J.
    Sun, Q.
    Jiang, L.
    Gao, Y.
    An, P.
    Shimizu, H.
    Zheng, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/57151.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Botaniczne
    Opis:
    It is generally assumed that plants can respond to varying degrees of physical damage by growth compensation via resprouting, and resprouting is a key functional trait in many species. Few studies have investigated how grass and shrub species distributed in moving dunes and semifixed dunes in semiarid areas respond to the combined effects of temperature and shoot removal. Medicago sativa, Artemisia ordosica, and Artemisia sphaerocephala plants were grown in a glasshouse for 8 weeks at air temperatures of 10/20°C, 12.5/22.5°C, 15/25°C, and 17.5/27.5°C (night/day) and were subjected to treatments of removing all leaves (LR), removing all leaves followed by cutting at half the plant height (HC), and removing all aboveground tissue (WC). The species, temperature, and damage extent had significant effects on the shoot number, leaf mass ratio, leaf area ratio and ratio of belowground to aboveground dry matter, and the species had a significant effect on the net assimilation rate, specific leaf area, and total biomass. The three species grew well under the HC and LR treatments, and high temperatures (15/25°C and 17.5/27.5°C) significantly promoted the regrowth of the three species. Medicago sativa grew faster than the two Artemisia species. Medicago sativa can be used for fertilizing or vegetation restoration in unimportant conservation areas, and the two Artemisia species can be effectively used for vegetation restoration in the Mu Us Sandland. Due to the low labor costs and the local climate conditions, plants should be clipped before the beginning of the main growing season (end of May or early June) to ensure rapid growth.
    Źródło:
    Acta Societatis Botanicorum Poloniae; 2019, 88, 1
    0001-6977
    2083-9480
    Pojawia się w:
    Acta Societatis Botanicorum Poloniae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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