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The increasing tendency to passive verbs in Persian indicates the importance of paying more attention to it in the study of language acquisition. Considering the age of 24 months and older, as a critical period for the development of syntactic structures in a child’s speech, the current study focused on Persian -speaking children to examine the quality of understanding different patterns of Persian passive and passive -making processes. The data gathered through library studies, field observations, and the quasi -experimental method in some cases, by observing almost 60 children (boys and girls) aged 24 -36 months. Data suggest that Semantic features of the verb and the patient thematic role imply significant roles in understanding and producing passive verbs in the early stages of language acquisition. Taking it into account that Farsi has three different patterns for the passive verbs, analyzing the data reveals a hierarchy for different passive structures acquired by children, that is, a passive formed based on “Adjective+ become -” comes first.The passive structure “past participle+ become -” appears next and finally, “Noun+ become -”appears in the child speech. The hierarchy regarded both frequency and priority in a child’s speech. There is also evidence for the significant role of context on the frequency of passive verbs formed by Persian children. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the impact of prototypical transitivity components presented by Hopper and Thompson (1980) on object omission construction in Persian. Object omission is a valency-reduction process in which a verb which is transitive in nature, appears without its object but the construction makes sense for the hearer. As this construction reduces the valency of the verb, it can be considered as a transitivity reduction phenomenon as well. Accordingly, the existence of more transitivity components with low degree in the aforementioned construction is expected. To examine this hypothesis, a data set including 435 cases of object omission was discovered and examined. The analysis revealed that unexpectedly, there are some transitivity increasing components such as kinesis (action) and mode (irrealis) in this construction. On the other hand, although some of the components have no impact on object omission, some of them including participants, aspect, punctuality and affectedness of the object, seem to be the most important factors which facilitates object omission. The impact of ten prototypical transitivity components on object omission and the reasons behind that, is what has been investigated and justified in this research. [ABSTRACT FROM AUTHOR]

Qur'anic intervals (Fawāsil) are considered one of the most prominent verbal features of the Qur'an. Given that there are phonetic explanations for many phonological subjects, this study aims to determine and describe the Qur'anic intervals and present a phonetic explanation for the selection and presence of different phonemes in this position in a descriptive -analytical way. To conduct this research, initially, all the intervals (6236 items), which are the final phonemes of the last words of the verses, were extracted, and their frequency was determined. Next, the presence of each phoneme was examined based on the topics discussed in the science of Tajwid, checking them against the topics and theories of modern phonetics. The findings reveal that factors such as the quantity and quality of auditory and perceptual clues, the degree of phonetic difficulty, and the relative degree of markedness of a phoneme play a decisive role in the presence or absence of that phoneme and its frequency in this position. In simpler terms, sounds with a higher level of hearing and perception, which the listener receives more accurately, and with less phonetic difficulty and markedness, such as vowels and sonorant consonants, have a more significant presence in this position. In contrast, sounds that do not have such characteristics, such as consonants or consonants with a second articulation, play a lesser role. [ABSTRACT FROM AUTHOR]

In today's world, expanding the existing body of knowledge through research is one of the main pillars of progress in the educational system. To achieve this goal, it is necessary for teachers to have research literacy, which is a prerequisite for their engagement in research. Research literacy can improve the quality of educational processes by helping teachers to apply research -informed approaches in their classrooms. One of the first steps to empower teachers in this regard is to determine their current level of research literacy and identify the knowledge and skills that they need in order to engage in research effectively. The present study introduces the concept of research literacy as an essential construct with regard to teachers' research engagement and discusses its impact on improving teaching methods and ultimately the quality of education. Adopting a scoping review approach, this study elaborates on teachers’ roles in relation to the concept of research literacy. Furthermore, the propose d models for the construct of research literacy in the field of education are presented and evaluated. The findings of this study indicated that teachers need to have a critical understanding of research reports in order to find solutions to educational problems, make informed decisions, and implement the implications of research studies in their classrooms. Finally, aiming to strengthen the dynamism of the educational system and encourage teachers to put research findings into practice, a number of practical guidelines are proposed which can promote the status and culture of research in educational settings. [ABSTRACT FROM AUTHOR]

This paper trys to explain, based on the framework of the dynamic phase theory, how to eliminate the internal object of the verb in Persian. At first, in order to determine whether deleted internal argument in Persian verb phrase is the result of argument ellipsis (AE) or verb stranding verb phrase ellipsis (VSVPE), we apply some common diagnostic criteria in the previous studies such as verb movement out of verb phrase, verbal identity, deletion of prepositional phases as intrnal arguements, coordination structure, order of adverbs of state and objects and scrambling. Because of incapability of the mentioned diagnostic criteria in the previous literature, we resort to the dynamic approach of phase theory (Bošković: 2005, 2013, 2014). Based on this approach, we conclude that what is deleted in the verb phrase is either a phase or the complement of a phase. Accordingly, this approach can provide the readers up with a more comprehensive and economical explanation of the mentioned structure in Persian. [ABSTRACT FROM AUTHOR]

In recent years, the rapid growth of virtual space has made people devote more of their time in virtual space, especially to social networks, which can be attributed to the remarkable features of virtual space; including increasing the speed of information exchange, easy and free access to information and variety of knowledge topics. In this regard, the opinions recorded by users in virtual networks have grown day by day and have become very important, and extracting the opinions and feelings of users' opinions for more informed decision-making is of great help to businesses, on the other hand, virtual reality technology in the past few decades It has undergone technical changes and improved immersion and the feeling of remote presence; This technology is used in various fields such as education, tourism, health, sports, entertainment, architecture and construction, etc. The increasing progress of virtual reality technology has caused many businesses to operate in this field, but due to changes Continuous market and the need for timely information, companies should use differentiation and growth strategies, in this regard, they need to ask users' opinions and in line with that, try to grow and improve their business, considering that Users' comments are textual, and reading and summarizing them is time-consuming and difficult. Based on this, the aim of the current research was to categorize comments related to virtual reality technology using machine learning methods and a dictionary-based approach. Therefore, about one million tweets in the field of virtual reality technology were collected by the web crawler, and after data preprocessing, 480,432 samples remained in the data, then Dirichlet's hidden allocation topic modeling was implemented on the data. This modeling separated different topics by examining the distribution of words in tweets; The tweets whose distribution of words were similar were placed into a topic and the number of topics with the highest coherence score was selected, the number of topics 9 had higher coherence and the data were grouped into 9 topics, so once again the Dirichlet hidden allocation modeling was set to 9. The topic was done, with this the tweets were grouped into 9 different topics. To evaluate the model, considering that we had a probability distribution, the confusion criterion was used, the value of which was-9.44, and the coherence score was used for the degree of semantic similarity between words and the distinction between subjects, and the result was 0.47. The lower the confusion criterion and the higher the coherence score, the more efficient the model is. With the help of keyword weights obtained by Dirichlet hidden allocation modeling and examining at least 5 different tweets from each topic, 9 topics related to virtual reality technology were identified: "New Technology", "Creation and Make", "Technological Business", "Education", "Virtual Games", "Progress", "Gadget", "Metaverse", and "Indiegame", the topics were analyzed with the help of several graphs. We found that the number of neutral comments on topics such as "New Technology" and "Metaverse" is more than positive and negative comments, which indicates the lack of sufficient information or the lack of use of these technologies, and it is necessary for businesses in this field, to try more in this regard, in the same way, if we observe the graph of "Virtual Games" and "Technological Business", we can see that it changes almost with the same ratio in different years, in the sense that this The two graphs are related, in fact, businesses should keep in mind that the factors affecting these two issues are the same, but users pay more attention to the issue of "Virtual Games", as a result, if the creators of "Technological Business" Focus specifically on "Virtual Games", they will grow more due to the more attention of users, also the creators of games should consider that "Virtual Games" are a topic of more attention than "Indiegame". Is. In the subjects of "Education" and "Gadget", users lost their attention to these subjects in the field of virtual reality over time, in fact they showed their attention to other subjects, so it is better for businesses that operate in this field to take measures To advertise and attract users or change their user area if there is no growth. [ABSTRACT FROM AUTHOR]

Smart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment. The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability. [ABSTRACT FROM AUTHOR]

Artificial intelligence provides unique opportunities to improve the performance of various industries, including the automotive industry. The present study seeks to identify the applications and requirements of using artificial intelligence in new automotive products such as self-driving cars by obtaining opinions from managers and employees of domestic automotive companies through semi-structured interviews and thematic analysis. The interviewees included 11 managers and 17 employees, of which 15 had a bachelor's degree, 11 had a master's degree, and 2 had a doctorate degree. 21 codes were identified in the applications section and 26 codes were identified in the requirements section. After conducting 28 interviews, theoretical saturation was achieved. From the codes identified in the applications section, self-driving cars and voice assistants, shared transportation, and resource allocation, expert staff, and team formation can be mentioned in the requirements section. Considering the variety of artificial intelligence applications in new car products and according to the specified requirements according to the opinions of experts, the development of a suitable platform for hard and soft technologies in an integrated manner; And government support regarding the creation of legal infrastructure can improve the development path of the current technology. Of course, in order to create a context for the successful operation of artificial intelligence in the automotive industry, all the effects of its application from different cultural and social aspects should be considered with a systematic perspective. [ABSTRACT FROM AUTHOR]

In the digital age, blockchain technology is recognized as an operational innovation that is rapidly joining the field of supply chain and humanitarian logistics. Hence, blockchain technology has the potential to fundamentally change the field of humanitarian aid, but still relatively little research has been published aimed at improving understanding of the various barriers to blockchain adoption in humanitarian logistics. The aim of this research is to provide an integrated framework for evaluating the barriers to blockchain adoption in the field of humanitarian logistics. To assess the barriers, integrated approach has been applied in three phases. In the first phase of this approach, based on the literature, 10 barriers to the adoption of blockchain in humanitarian logistics are identified and evaluated using the FMEA method. In the second phase, using the opinions of experts, the weights of the three factors are calculated. Then, in the third phase and according to the outputs of the previous phases, obstacles are prioritized using the proposed Z-ARAS method. In addition to assigning different weights to the three factors considering uncertainty and reliability in barriers is also considered in this approach through the theory of Z numbers. The proposed approach of current study was implemented in the evaluation of blockchain adoption barriers in humanitarian logistics. According to the results, the most critical barriers concern with integrating issues, risk of cyber-attacks, and technology risks. The results shown the capability and superiority of the proposed approach compared to other traditional methods such as FMEA and Fuzzy ARAS. [ABSTRACT FROM AUTHOR]