درخت حوزه‌های تخصصی

Discovering the best solution for assessing intercultural communication is a big challenge all over the world. Thus, the current paper tried to find various ways of intercultural assessment in Iran by introducing a bimodal assessment model. Therefore, the researchers selected thirty Iranian teachers through convenience sampling as the participants of the study. By using a qualitative design, the required data were collected and by using inductive content analysis, the results were analyzed. The data collected and analyzed from interviews and observation sessions revealed that Iranian teachers used a blend of traditional and communicative methods to assess intercultural issues in their classes. Portfolio assessment, performance assessment, dynamic assessment, self/peer assessment, written quizzes, dialogues, and discussion, interview, and presentation are among the methods of assessing intercultural communication in Iran’s context. This study is of high importance for language teachers because they can use the findings as tools for assessing intercultural content in their classes and for intercultural experts to introduce these assessment tools to teachers in their training courses. The bimodal assessment model as the final product of this paper could pave the way for Iranian teachers as an assessment model.

This research uses a fuzzy Delphi approach to identify the dimensions and components of investor risk and financing for IT-based startup companies. The statistical population for this study consisted of 30 experts and university professors familiar with the research concepts surveyed to select the dimensions and components identified from the literature and prior research. The results from the fuzzy Delphi method showed that the financing and investor risk dimensions were selected in 9 dimensions and 29 components. The weighting results for the research dimensions and components using the Best-Worst Method (BWM) prioritized each. The weighting results indicate that the industry status ranked first, followed by scientific factors and other components, ranked third to ninth in the LINGO software. Additionally, the intensity of relationships among the research dimensions was assessed using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. The analysis of the intensity of relationships among the dimensions shows that the government factors dimension had the highest numerical value based on the row sum, making it the most influential dimension among those examined in financing startup companies using the DEMATEL technique. Conversely, based on the D-R analysis, the geographic factors dimension received the lowest value and was recognized as the most affected dimension. Using the fuzzy Delphi method, this research has identified specific and novel dimensions and components, such as governmental, geographical, and scientific factors, which have been less addressed in the existing literature.

The term "clickbait" refers to content specifically designed to capture readers' attention, often through misleading headlines, leading to frustration among social media users. In this study, titled "Mushakkal," which translates to "variety" in Arabic, we utilized a Convolutional Neural Network (CNN)—a deep learning approach—to detect clickbait within an Arabic dataset. We compared three optimizers: RMSprop, Adam, and Adadelta, evaluating various parameter settings to determine the most effective combination for detecting clickbait in Arabic content. Our findings revealed that the CNN model performed best when both pre-processing and Word2Vec techniques were applied. The Adam optimizer outperformed the others, achieving a Macro-F1 score of 77%. The RMSprop optimizer closely followed, attaining a Macro-F1 score of 76%. In contrast, Adadelta proved to be the least effective for classifying Arabic text.

Safe extraction from oil and gas reservoirs in the seas and its transfer to the consumption market is among the most important concerns of energy-rich countries to secure their financial interests along with preserving the environment to increase the duration of extraction. The employer's requirement for the contractor to compile a report on the environmental effects of the work is one of the most significant initial steps in concluding the contract to estimate the risk, evaluate and manage the work. Apart from the legal obligations of the oil and gas contractor to comply with principles such as prevention and precautionary measures to prevent environmental damage, the contractor should take essential measures to prevent environmental damage through meeting the highest environmental standards in the field of exploration, drilling, extraction, maintenance and transportation, provision and usage of new methodologies, preservation of protected areas, non-interruption of others' access to water resources and preservation of mineral resources, dismantling facilities after the completion of the contract, and obligation to comply with the principles of the host country. Although contractors usually try to include a stability condition in their contracts in order to avoid more environmental obligations in the future, it seems that the principle of government ownership of natural resources can ignore this right at any time. The condition keeps environmental rules and principles as a priority. The present article has been compiled in a descriptive analytical way and in a library way.