مطالب

Ce travail s’intéresse à l’étude des romans indochinois de Marguerite Duras, Un barrage contre le pacifique et L’Amant, à la lumière des concepts sociologiques. En réalité, l’Indochine se réécrit par la romancière comme une société fracturée et divisée suivant plusieurs dimensions. Les personnages se divisent, en effet, par les inégalités à la fois sociales et raciales, selon les deux livres, et dans le cadre hétérogène d’Indochine. Ainsi les expériences vécues de la romancière à l’extrême Orient l’amènent-elles à lire et à écrire le social conformément au contexte d’émergence des deux livres à travers le prisme de son lieu de naissance. La poétique et la politique s’y nouent parfaitement pour souligner l’univers durassien, et c’est grâce à la théorie de la pratique de Pierre Bourdieu, que ces deux ouvrages représentent la nature de l'action humaine, qu'elle soit individuelle ou collective, permettant une nouvelle lecture sociologique des deux romans à l’appui des concepts scientifiques.

The liberalization of natural gas markets and the emergence of gas hubs in recent decades have shifted the natural gas trade from the regional to the global trade. The growth and maturity of these hubs have weakened the previously established relationship between the natural gas price and the prices of crude oil and petroleum products. Therefore, predicting the price of gas as a strategic commodity has become more important for different countries. Using the neural network method, this paper attempts to provide a model for the monthly prediction of natural gas price. Based on the time series data from 2012 to April 2019 as neural network input, this model predicts the prices in five hubs and natural gas exchange centers in Europe. Based on the R2 performance evaluation index of 98% in the neural network model fitted based on the aforementioned data series, the neural network model has an acceptable performance in predicting the natural gas price. The results of this study show that using the artificial neural network (ANN) method, the gas prices in the European gas hubs, which are located in European Country, can be predicted with a high accuracy.

Purpose: The purpose of the present study was to present a predictive model of MOOC at Payam-e-Noor University based on the components of management and professional competence. Methodology: The research method was by purpose, applied; in terms of data type, (quantitative); in terms of data collection method or nature, and the research method was non-experimental - correlation. The statistical population of this study was 900 faculty members of Payam Noor University in Tehran. Due to the different nature of Payame Noor University, 270 people were selected as the subjects using Cochran formula and simple random sampling. The research tool consisted of a researcher-made questionnaire with 37 questions related to MOOC and two standard questionnaires of 20 and 15 questions for management variables (Wiele & Boselie Questionnaire, 2002) and professional competence (Molaeinejad questionnaire, 2012). The reliability and validity of the questionnaire were confirmed by Cronbach's alpha and reliability coefficient (MOOC, management and scientific / professional competence) of 0.7. Structural equation modeling (confirmatory factor analysis) was used to analyze the data. Findings: The results showed that the components of management, scientific / professional competence, were effective factors on the implementation of the music in Payam-e-Noor University. Conclusion: With the presence of mock-ups, it facilitates the access of institutions and organizations to inclusive learning and facilitates the virtual learning process. In the field of MOOC management, the university can be effective in providing MOOCs courses by preserving and developing fair behavior and speech.