مطالب

Libraries have long been involved in content management due to their mission and task, but with the advent of the digital age, this content has changed from print to digital. Digital content management is related to storing, organizing, indexing and monitoring digital content used by an organization. Digital content can take many forms, including text files, documents, graphics, images, animations, and audio and video files. This book is a handbook consisting of 15 chapters in the field of research on digital content management and development in libraries, elaborating on various areas such as: Consortia, Digital Libraries, Digital Resource Management, EResources, Information Retrieval, Knowledge Management, Open Access, Repositories, RFID Technology. Even so, in this book, the research topics mentioned have not been studied in depth. In my opinion, considering the thematic importance of the book, it would be better to address newer research topics such as cloud computing, artificial intelligence, digital twins, virtual reality, research data management, etc. It is suggested that a new collection consisting of the chapters of the proposed areas be compiled.

The widespread deployment of social media has helped researchers access an enormous amount of data in various domains, including the the COVID-19 pandemic. This study draws on a heuristic approach to classify Commercial Instagram Posts (CIPs) and explores how the businesses around the Holy Shrine were impacted by the pandemic. Two datasets of Instagram posts (one gathered data from March 14th to April 10th, 2020, when Holy Shrine and nearby shops were closed, and one extracted data from the same period in 2019), two word embedding models – aimed at vectorizing associated caption of each post, and two neural networks – multi-layer perceptron and convolutional neural network – were employed to classify CIPs in 2019. Among the scenarios defined for the 2019 CIPs classification, the results revealed that the combination of MLP and CBoW achieved the best performance, which was then used for the 2020 CIPs classification. It was found out that the fraction of CIPs to total Instagram posts has increased from 5.58% in 2019 to 8.08% in 2020, meaning that business owners were using Instagram to increase their sales and continue their commercial activities to compensate for the closure of their stores during the pandemic. Moreover, the portion of non-commercial Instagram posts (NCIPs) in total posts has decreased from 94.42% in 2019 to 91.92% in 2020, implying the fact that since the Holy Shrine was closed, Mashhad residents and tourists could not visit it and take photos to post on their Instagram accounts.

The identification of the cognitive, affective, social and even physiological factors affecting second or foreign language learning routes and rate has for long been a challenging aspiration for second language researchers. However, a recent preoccupation of the researchers in this area has been the study of the combinatorial impacts of such factors on second or foreign language learning processes and products. As a partial undertaking in this regard, this study investigated the relations pattern among some psychological and cognitive variables and foreign language learning achievement rate. The studied factors were self-regulation, goal-orientation, tolerance of ambiguity, and autonomy on the one hand and English as Foreign Language (EFL) learners’ ultimate achievement on the other hand. To this end, 250 Iranian BA level EFL students majoring English literature or English translation were selected based on convenience sampling procedure. Next, having obtained the participants' informed consent to participate in the study, the researchers administered Trait Self-Regulation Questionnaire (TSRQ), Goal Orientation, Tolerance of Ambiguity, and Learner Autonomy scales to them. In addition, concerning their L2 achievement rate measure, their BA level general English courses' GPA was obtained from the education office of the related universities. The data were statistically analyzed and the hypothetical model of interrelations among the given variables was tested using Structural Equation Modeling procedures. The results indicated that goal orientation and self-regulation significantly predicted L2 achievement; however, tolerance of ambiguity and learner autonomy were not found as strong predictors of L2 achievement. On the other hand, while self-regulation strongly predicted goal orientation, it was not verified to be a strong predictor of tolerance of ambiguity. The results also showed that goal orientation could strongly predict learner autonomy. A ready-made implication of the findings might be that the combinatorial effects of the psychological variables on cognitive processes like second language learning is quite complicated and different from the effects of each individual variable.