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Dans la pratique traductive foncièrement ethnocentrique, l’Autre n’est presque jamais présenté tel quel mais adapté selon les normes ambiantes dans l’espace d’accueil. En nous appuyant sur une analyse des traductions chinoises de Cendrillon de Charles Perrault, nous montrons trois façons différentes de représenter l’Autre dans la traduction pour la jeunesse : avec les manipulations du sujet traduisant, l’Autre peut être politisé, académisé mais aussi simplifié.

In recent years, with the rapid increase of users active on the Internet, Internet users access log is also increasing rapidly. According to the user's Internet access log analysis of the characteristics of user behavior on the Internet. In this paper, we classify the statistical analysis of the behavior of Internet users by collecting information and data on urban and rural Internet user behavior. This result may provide a basis for guiding the behavior of Internet software manufacturers or government.

The paper herein will analyze the sale of iced products affected by variation of temperature. Firstly, we will collect the data of the forecast temperature last year and the sale of iced products and then conduct data compilation and cleansing. Finally, we will set up the mathematical regression analysis model based on the cleansed data by means of data mining theory. Regression analysis refers to the method of studying the relationship between independent variable and dependent variable. Linear regression model that corresponds to the practical situation is proposed in the paper, which is to set up simple linear regression model based on practical problem and then to implement the following with the help of the latest and most popular Python3.6. Python3.6 boasts the features of pure object-oriented, platform independence and concise and elegant language. So we will call the corresponding library function to predict the sale of iced products according to the variation of temperature, which will provide the foundation for the company to adjust its production each month, or even each week and each day. As a result, the situation of overproduction can be avoided. Moreover, the other situation as the profit will be affected by the lack of production since the rise of temperature will also be avoided. So the regression model also has reference value for the other fields of marketing.

Aiming at the problem of transformer manufacturing enterprises bidding is lacking scientific theoretical guidance and low bid probability, in order to predict the next bid price, based on principal component analysis (PCA) and artificial neural network (ANN) pre-tender estimate forecast model is proposed. The model uses PCA to preprocess the original high dimensional data, select principal components (PC) as the radial basis function (RBF) neural network's input. PCA eliminates the correlation of the input variables, at the same time of simplifying the structure of ANN, improving the accuracy of the prediction model. The simulation results show the applicability of the pre-tender estimate forecast model.

Boron is a feasible alloying element for liquid phase sintering (LPS) of powder metallurgy (PM) steels. This study investigated the effect of nickel (Ni), which is widely used in PM steels, on the liquid phase sintering of boron-containing PM steels. The results showed that the addition of 1.8wt% Ni does not apparently modify the LPS mechanism of boron-containing PM steels. However, adding 1.8wt% Ni slightly improves the LPS densification from 0.60 g/cm3 to 0.65 g/cm3, though the green density is reduced. Thermodynamic simulation demonstrated that the presence of Ni lowers the temperature region of liquid formation, resulting in enhanced LPS densification. Moreover, original graphite powders remains in the steels sintered at 1200 ºC. These graphite powders mostly dissolve into the base iron powder when the sintering temperature is increased from 1200 ºC to 1250 ºC.

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