Being unpopular, writing courses tend to attract few students. One reason for this lies in the limitations inherent in traditional "one-shot" form of evaluation. With the dissemination of process studies, a portfolio, an ongoing index of student development, has found its place in composition pedagogy.Congruently, the attractions of technology in classrooms inspired the researcher to incorporate e-mail into an EFL writing class. The present qualitative research aimed at investigating in an electronic fashion the nature of student comments, their reaction to teacher comments, and their views on portfolio use. Twelve Iranian EFL learners doing their writing course with the researcher were required to make computer files of their works to be emailed to the instructor at the end of the study along with their own reflections on them. Descriptive analysis of the PORTFOLIOS indicated a number of recurring themes, highlighted patterns of student reactions, and was suggestive of a general positive attitude toward portfolio use.

Face recognition from digital images is used for surveillance and authentication in cities, organizations, and personal devices. Internet of Things (IoT)-powered face recognition systems use multiple sensors and one or more servers to process data. All sensor data from initial methods was sent to the central server for processing, raising concerns about sensitive data disclosure. The main concern was that all data from all sectors that could contain confidential information was placed in a central server. Federated learning can solve this problem by using several local model training servers for each region and a central aggregation server to form a global model in IoT networks. This article presents a novel approach to optimize data transfer and convergence time in federated learning for a face recognition task using Non-dominated Sorting Genetic Algorithm II (NSGA II). The aim of the study is to balance the trade-off between training time and model accuracy in a federated learning environment. The results demonstrate the effectiveness of the proposed approach in reducing data transfer and convergence time, leading to improved performance in face recognition accuracy. This research provides insights for researchers and practitioners to enhance the efficiency of federated learning in real-world applications.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs with a business approach and by using artistic forms with a descriptive and analytical method and with a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the businessman 1- Gaining self-knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship with the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the businessman will be facilitated.