Zhejiang Gongshang University

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.

Aquatic products processing industry in China: Challenges and outlook

Abstract: The aquatic products processing industry is becoming one of three pillar industries in China's fish culture industry (the other being fishing and aquaculture) and has been paid more attention. An integrated system, which involves many kinds of aquatic products processing, has been established in the current industry. More and more companies have introduced advanced equipment and standardized management to improve the technology of processing and product quality. However, there are some problems in the development of the aquatic processing industry, such as lack of scientific industrial standards, smaller proportion of refined processed aquatic products, low level of techniques in offal processing, security problems and weak industrial organization. In the present manuscript, these problems of the Chinese aquatic processing industry will be expounded in detail. Furthermore, the challenges and outlook will also be discussed.

Spatiotemporal dynamics of chlorophyll- a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors

Abstract: Chlorophyll-a (Chla) is an important indicator of water quality and eutrophication status. Monitoring Chla concentration (C Chla ) and understanding the interactions between C Chla and related environmental factors (hydrological and meteorological conditions, nutrients enrichment, etc.) are necessary for assessing and managing water quality and eutrophication. An acceptable Landsat 8 OLI-based empirical algorithm for C Chla has been developed and validated, with a mean absolute percentage error of 14.05% and a root mean square error of 1.10 μg L-1. A time series of remotely estimated C Chla was developed from 2013 to 2015 and examined the relationship of C Chla to inflow rate, rainfall, temperature, and sunshine duration. Spatially, C Chla values in the riverine zone were higher than in the transition and lacustrine zones. Temporally, mean C Chla value were ranked as spring > summer > autumn > winter. A significant positive correlation [Pearson correlation coefficient (r) = 0.88, p < 0.001] was observed between the inflow rate and mean C Chla in the northwest segment of the Xin'anjiang Reservoir. However, no significant relation was observed between mean C Chla and meteorological conditions. Mean (± standard deviation) value for the ratio of total nitrogen concentration to total phosphorus concentration in our in situ dataset is 75.75 ± 55.72. This result supports that phosphorus is the restrictive factor to algal growth in Xin'anjiang Reservoir. In addition, the response of nutrients to Chla has spatial variabilities. Current results show the potential of Landsat 8 OLI data for estimating Chla in slight turbid reservoir and indicate that external pollution loading is an important driving force for the Chla spatiotemporal variability.

Chondroitin sulfate: extraction, purification, microbial and chemical synthesis

Abstract: Chondroitin sulfate, a type of acid mucopolysaccharide possessing a variety of bioactivities, has attracted tremendous interest due to its use in the relief of joint diseases. It has been widely applied in different fields, such as medicine, biotechnology, pharmacy, textiles, food and cosmetics. This mini-review focuses on the main methods of its extraction and purification, and recent advances in bio-syntheses and chemical synthesis of such molecules. In addition, further studies in these aspects are proposed based on current research. © 2014 Society of Chemical Industry

Cycle frequency in standard Rock-Paper-Scissors games: Evidence from experimental economics

Abstract: The Rock-Paper Scissors (RPS) game is a widely used model system in game theory. Evolutionary game theory predicts the existence of persistent cycles in the evolutionary trajectories of the RPS game, but experimental evidence has remained to be rather weak. In this work, we performed laboratory experiments on the RPS game and analyzed the social-state evolutionary trajectories of twelve populations of N = 6 players. We found strong evidence supporting the existence of persistent cycles. The mean cycling frequency was measured to be 0.029 +/- 0.009 period per experimental round. Our experimental observations can be quantitatively explained by a simple non-equilibrium model, namely the discrete-time logit dynamical process with a noise parameter. Our work therefore favors the evolutionary game theory over the classical game theory for describing the dynamical behavior of the RPS game. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.