Institution
Zhejiang Gongshang University
Education•Hangzhou, China•
About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Adsorption & Supply chain. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.
Topics: Adsorption, Supply chain, Population, Wireless sensor network, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors identified the substrate for litchi polyphenol oxidase (PPO) from fruit pericarp tissues using polyamide column chromatography, silica gel column and preparative thin layer chromatography.
61 citations
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TL;DR: A split-based adaptivetabu search (SATS) algorithm using an optimal split scheme and an adaptive tabu search algorithm is proposed, which aims to minimize the objective function, which incorporates the fixed expenses and variable costs consisting of fuel consumptions and carbon emissions.
61 citations
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TL;DR: In this article, a review of the application of these passive samplers for monitoring the polar organic pollutants is presented, and the results of three different passive sampler types are compared.
61 citations
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TL;DR: The results indicate that the method proposed is feasible and effective, and can extract the features of pulse signals accurately, which can be expected to facilitate the modernization of pulse diagnosis.
Abstract: A methodology for the automated time-domain characteristic parameter extraction of human pulse signals is presented. Due to the subjectivity and fuzziness of pulse diagnosis, the quantitative methods are needed. Up to now, the characteristic parameters are mostly obtained by labeling manually and reading directly from the pulse signal, which is an obstacle to realize the automated pulse recognition. To extract the parameters of pulse signals automatically, the idea is to start with the detection of characteristic points of pulse signals based on wavelet transform, and then determine the number of pulse waves based on chain code to label the characteristics. The time-domain parameters, which are endowed with important physiological significance by specialists of traditional Chinese medicine (TCM), are computed based on the labeling result. The proposed methodology is testified by applying it to compute the parameters of five hundred pulse signal samples collected from clinic. The results are mostly in accord with the expertise, which indicate that the method we proposed is feasible and effective, and can extract the features of pulse signals accurately, which can be expected to facilitate the modernization of pulse diagnosis.
61 citations
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TL;DR: The algae were most sensitive to imidazolium chloride ILs at 48 h according to the results from the growth inhibition rate and cellular membrane permeability tests, and the ultrastructural morphology showed that the ILs had negative effects on the cellular morphology and structure of the algae.
61 citations
Authors
Showing all 8318 results
Name | H-index | Papers | Citations |
---|---|---|---|
David Julian McClements | 131 | 1137 | 71123 |
Sajal K. Das | 85 | 1124 | 29785 |
Ye Wang | 85 | 466 | 24052 |
Xun Wang | 84 | 606 | 32187 |
Tao Jiang | 82 | 940 | 27018 |
Yueming Jiang | 79 | 452 | 20563 |
Mo Wang | 61 | 274 | 13664 |
Robert J. Linhardt | 58 | 1190 | 53368 |
Jiankun Hu | 57 | 493 | 11430 |
Xuming Zhang | 56 | 384 | 10788 |
Yuan Li | 50 | 352 | 8771 |
Chunping Yang | 49 | 173 | 8604 |
Duo Li | 48 | 329 | 9060 |
Matthew Campbell | 48 | 236 | 13448 |
Aiqian Ye | 48 | 163 | 6120 |