7 research outputs found

    Studies of Translation Norms of Ai Xi La Ge by Ma Junwu: Within the Framework of Andrew Chesterman’s Theory of Translation Norms

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    Ai Xi La Ge, which is translated by Ma Junwu is the first complete Chinese translated text of The Isles of Greece by Byron. It has a far-reaching influence. This thesis attempts to study the translation norms of Ai Xi La Ge under the influences of social-cultural conditions and translating habits of the translator from the four aspects of expectancy norms, accountability norm, communication norm and relation norm within the framework of Andrew Chesterman’s theory of translation norms

    Application of the Concept of Defamiliarization in Translation Studies: Case Studies of the Translation of Film Titles

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    As more and more foreign films stream into China, the importance of translation of film titles is becoming obvious. A good film title can not only convey the theme of a film, but also grab the attention and inspire the aesthetic emotion of the audience. The aim of defamiliarization theory is to evoke the aesthetic emotion of people which has been widely used in the translation of film titles. Yet some translations of film titles decrease the defamiliarization effect and present audience with more familiar content. This thesis probes into the application of “defamiliarization” in translation studies, summarizes the methods of translating film titles and discusses the issues of defamilarization degree, hoping to provide new ideas of translating film titles

    Recombinant Human Endostatin Endostar Inhibits Tumor Growth and Metastasis in a Mouse Xenograft Model of Colon Cancer

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    To investigate the effects of recombinant human endostatin Endostar on metastasis and angiogenesis and lymphangiogenesis of colorectal cancer cells in a mouse xenograft model. Colon cancer cells SW620 were injected subcutaneously into the left hind flank of nude mice to establish mouse xenograft models. The mice were treated with normal saline or Endostar subcutaneously every other day. The growth and lymph node metastasis of tumor cells, angiogenesis and lymphangiogenesis in tumor tissue were detected. Apoptosis and cell cycle distribution were studied by flow cytometry. The expression of VEGF-A, -C, or -D in SW620 cells was determined by immunoblotting assays. Endostar inhibited tumor growth and the rate of lymph node metastasis (P < 0.01). The density of blood vessels in or around the tumor area was 12.27 ± 1.21 and 22.25 ± 2.69 per field in Endostar-treated mice and controls (P < 0.05), respectively. Endostar also decreased the density of lymphatic vessels in tumor tissues (7.84 ± 0.81 vs. 13.83 ± 1.08, P < 0.05). Endostar suppresses angiogenesis and lymphangiogenesis in the lymph nodes with metastases, simultaneously. The expression of VEGF-A, -C and -D in SW620 cells treated with Endostar was substantially lower than that of controls. Endostar inhibited growth and lymph node metastasis of colon cancer cells by inhibiting angiogenesis and lymphangiogenesis in a mouse xenograft model of colon cancer

    Blockchain-Powered Service Migration for Uncertainty-Aware Workflows in Edge Computing

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    In edge computing, the workflow is used to simulate and manage computing tasks as well as information exchange for compute-intensive and data-intensive application, which is convenient for the various complex process to work orderly. However, the resource conflict among cooperative works of multiple mobile edge computing (MEC) nodes by workflow, together with the service failure and the performance degradation, bring about additional uncertainties of scheduling strategies. Consequently, such uncertainties delay the completion of tasks and spoil the user experience. To deal with that issue, we propose a blockchain-powered resource provisioning (BPRP) method to design policies for workflows in the edge computing environment. Technically, we use the directed acyclic graph to indicate workflows of each edge node and regard its scheduling strategy as an individual gene to adapt to the following algorithm. Then, we use the non-dominated sorting genetic algorithm-III (NSGA-III) to optimize the workflow scheduling strategies on the basis of tasks’ timely completion with good quality. A large number of experiments were carried out to verify the effectiveness of our method

    Salvianolic Acid Y: A New Protector of PC12 Cells against Hydrogen Peroxide-Induced Injury from Salvia officinalis

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    Salvianolic acid Y (TSL 1), a new phenolic acid with the same planar structure as salvianolic acid B, was isolated from Salvia officinalis. The structural elucidation and stereochemistry determination were achieved by spectroscopic and chemical methods, including 1D, 2D-NMR (1H-1H COSY, HMQC and HMBC) and circular dichroism (CD) experiments. The biosynthesis pathway of salvianolic acid B and salvianolic acid Y (TSL 1) was proposed based on structural analysis. The protection of PC12 cells from injury induced by H2O2 was assessed in vitro using a cell viability assay. Salvianolic acid Y (TSL 1) protected cells from injury by 54.2%, which was significantly higher than salvianolic acid B (35.2%)
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