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Institution

Zhejiang Gongshang University

EducationHangzhou, China
About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.


Papers
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Journal ArticleDOI
TL;DR: AGDS indicated that it can provide α-LA protein solution with a true and reliable digestion profile in the stomach, and can be used as a potential dynamic gastric digestion model for the food development.

38 citations

Journal ArticleDOI
TL;DR: It can be concluded that the mode of scattered preparation and one-way convergent transmission of quantum states is beneficial to designing the MQPC protocol which can accomplish arbitrary pair’s comparison of equality among K users within one execution.
Abstract: Quantum private comparison (QPC) aims to accomplish the equality comparison of the secrets from different users without disclosing their genuine contents by using the principles of quantum mechanics. In this paper, we summarize eight modes of quantum state preparation and transmission existing in current QPC protocols first. Then, by using the mode of scattered preparation and one-way convergent transmission, we construct a new multi-user quantum private comparison (MQPC) protocol with two-particle maximally entangled states, which can accomplish arbitrary pair’s comparison of equality among K users within one execution. Analysis turns out that its output correctness and its security against both the outside attack and the participant attack are guaranteed. The proposed MQPC protocol can be implemented with current technologies. It can be concluded that the mode of scattered preparation and one-way convergent transmission of quantum states is beneficial to designing the MQPC protocol which can accomplish arbitrary pair’s comparison of equality among K users within one execution.

38 citations

Journal ArticleDOI
TL;DR: The use of the zebrafish model is reported on to investigate the in vivo colonization ability, as well as the protective effects associated with gut mucosal immune barrier and responses against Aeromonas hydrophila infection of previously characterized probiotic lactic acid bacteria strains.
Abstract: AIMS To increase the knowledge of probiotic effects and potential mechanisms, we report on the use of the zebrafish model to investigate the in vivo colonization ability, as well as the protective effects associated with gut mucosal immune barrier and responses against Aeromonas hydrophila infection of previously characterized probiotic lactic acid bacteria (LAB) strains, Bacillus coagulans 09·712 and Lactobacillus plantarum 08·923, in comparison with that of three commercialized strains. METHODS AND RESULTS The results indicated differential adhesion capabilities, and B. coagulans and Lact. plantarum strains exhibited a more robust adhesion capability based on fluorescence observation. Oral delivery of these two strains in zebrafish greatly improved gut epithelium integrity, as well as reduced recruitment and degranulation of mast cells under Aer. hydrophila challenge. The percentage of intraepithelial lymphocytes (IELs) in probiotic fed groups was significantly higher than those in the control after challenge (P < 0·001). We also found that the abundance of IL-1β mRNA in B. coagulans- and Lact. plantarum-fed groups remarkably decreased as a function of time of post challenge, and that of TNF-α and IL-10 mRNA was high with the probiotic treatment. CONCLUSIONS Our findings indicate highly adhesive strains of B. coagulans 09·712 and Lact. plantarum 08·923 have immunoregulatory and immunoprotective roles in effective stimulation of anti-inflammatory response and barrier regeneration within the mucosa to protect zebrafish against infection. SIGNIFICANCE AND IMPACT OF THE STUDY Our work will further support zebrafish as a powerful model to better understand molecular definition of probiotic effects, as well as the probiotic potential of B. coagulans 09·712 and Lact. plantarum 08·923 of interest to the food industry.

38 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors presented a quantitative analysis of visitor satisfaction and its relationship with tourism attributes in the Fantawild Adventure Theme Park in Taiwan, China, and applied a fuzzy method and importance-performance analysis (IPA) to determine the range of impact of various attributes on visitor satisfaction.
Abstract: This study presents a quantitative analysis of visitor satisfaction and its relationship with tourism attributes in the Fantawild Adventure Theme Park in Taiwan, China. The study applies a fuzzy method and importance-performance analysis (IPA) to determine the range of impact of various attributes on visitor satisfaction. The weight and logical value of satisfaction were determined by using triangular fuzzy variables. Analysis of 389 visitor surveys identified a complex relationship between satisfaction and the following attributes: recreation experience, park service and management, park environment, guidance information, amusement consumption, and park facilities. Recreation experience is the most significant factor in visitor satisfaction, whereas the attribute of park facilities is the least significant. The fuzzy IPA method is a very useful diagnostic tool for theme park managers, who can use it to identify current problems regarding visitor experiences and then assign priorities to improvement measu...

38 citations

Journal ArticleDOI
TL;DR: In this article, the authors focused on relationship quality as it pertains to repurchase intentions in Ghana, and the mediating role of price level was addressed, showing that customer trust, customer commitment, and customer satisfaction affect price level.

38 citations


Authors

Showing all 8318 results

NameH-indexPapersCitations
David Julian McClements131113771123
Sajal K. Das85112429785
Ye Wang8546624052
Xun Wang8460632187
Tao Jiang8294027018
Yueming Jiang7945220563
Mo Wang6127413664
Robert J. Linhardt58119053368
Jiankun Hu5749311430
Xuming Zhang5638410788
Yuan Li503528771
Chunping Yang491738604
Duo Li483299060
Matthew Campbell4823613448
Aiqian Ye481636120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202325
2022153
2021937
2020770
2019627