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EN
Dinophysis species are distributed worldwide and cause diarrheic shellfish poisoning (DSP). This paper documents the first successful culture of a Dinophysis (DAYS01) strain taken off Xiaoping Island, the Yellow Sea, China. The strain was identified as Dinophysis acuminata Claparède & Lachmann by morphological and phylogenetic analysis. The effects of temperature and different Mesodinium prey on the physiological and toxigenic characteristics of D. acuminata DAYS01 were also investigated. The results showed that the toxin concentration (toxin amount per ml of culture) increased with an increase in cell densities. Okadaic acid (OA), dinophysistoxin 1 (DTX1) and pectenotoxin 2 (PTX2) were the major toxin components of DAYS01, with the highest recorded toxin content of 5.66, 0.56 and 192.87 ng ml-1 culture medium, respectively. The prey type significantly influenced the growth yield in Dinophysis cultures. There was an effect of prey on the total toxin content, suggesting that the origin or strain of ciliate directly impacted the D. acuminata blooms and the overall toxin concentration in the system.
EN
This article was aimed to analyse the working condition of the coupling mechanism in Chinese shipbuilding industry cluster. Literature review was conducted to unveil the coupling mechanism of shipbuilding industry cluster, providing analysis of the present development of shipbuilding industry. A theoretical model was proposed by using the efficacy function and the capacity of the coupling coefficient while measuring the coupling of the shipbuilding industry cluster. Four coupling characteristics were found including relevant, systemic, diversity, and collaborative in the shipbuilding industry cluster. The shipbuilding industry cluster has two levels of coupling mechanism including the core layer coupling mechanism and the support layer coupling mechanism respectively. The improvement through coupling the core layer, support layer, and the coupling between two levels, is an effective way to achieve long-term stable development in Chinese shipbuilding industry cluster.
EN
The Horn-Schunck equations are a coupled system of two partial differential equations which aim at finding motion information in a given image sequence. Recent results [1, 2] asserted that this system is well-posed and can not be decoupled under any linear transformations. In this paper, two alternating iterative algorithms are proposed to solve this system. These algorithms have three properties: first, at each single iteration, both algorithms consist of two decoupled, scalar equations of elliptic type, driven by the last approximate solutions; second, the particular form of iterations allows analytical solutions expressed via potential integral, Poisson integral, conformal mapping and Feynman-Kac formula; third, exponential convergence of these algorithms are established under mild conditions and the rates of convergence are given with the help of energy inequalities and Banach fixed point principle for contraction mappings. Limitations of these algorithms are discussed.
PL
W artykule zaproponowano sposób analizy i rozwiązywania równań Horn’a-Schunck’a. Rozwiązanie polega na zastosowaniu dwóch algorytmów o przemiennej iteracji. W każdym kroku obydwa algorytmy składają się z dwóch niezależnych eliptycznych równań skalarnych, bazujących na ostatnim przybliżonym rozwiązaniu. Otrzymane rozwiązanie może być wyrażone poprzez całkę potencjału, całkę Poisson’a, odwzorowanie wiernokątne, formułę Feynman’a-Kac’a. Przedstawiono i omówiono ograniczenia stosowania proponowanych algorytmów.
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