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The study of scientific articles, as the main genre of scientific productions and an important means of information exchange among the members of the scientific community, has received increasing attention during the past few decades. In scientific discourse study, textual structure and coherence require the writers to use various meta-discourse markers, including interactive and interactional meta-discourse markers, and their appropriate strategies. In the current research, the category of interactive meta-discourse marker based on Hyland's model is studied. We use a corpus-based approach to analyze Persian scientific research articles in the field of humanities and to find out the importance and role of interactive meta-discourse elements in Persian scientific papers.
For this purpose, we randomly select and analyze 800 abstracts of scientific research articles from 16 fields of humanities from the Comprehensive Portal of Humanities. Examining the data reveals the importance of the use of meta-discourse in the text in such a way that approximately one marker of interactive meta-discourse marker is found among every 15 words. Also, the analysis of the corpus indicates that frame markers are the most frequently used interactive meta-discourse marker in the corpus, and transition and code glosses are in the next rank with a little distance from frame markers. Endophoric and evidentials markers obtained the lowest frequency in the corpus. At the end, suggestions and corrections are provided to make Hyland’s concept more compatible with the discourse features of Persian scientific articles.

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Since learning theories have been often ignored in translation education, the present study aimed to explore the impact of implementing principles of connectivism learning theory in translation training using an AI-powered translation tool, Matecat. Participants were thirty third-year students who enrolled in a course on the translation of Islamic texts from English. Before the commencement of the course, a pretest was given to the students to assess their translation skills. Then, on the basis of the results, two groups of experimental and control were formed. The homogeneity of the two groups was further checked by using independent samples t-test in SPSS. Unlike the control group, the experimental group was trained on the basis of the principles of connectivism and the tailored model designed for the present study. At the end of the program a posttest was administered, and the scores were subjected to statistical analysis using independent samples t-test. The results showed although both groups had started at more or less the same level, the quality of translations produced by the experimental group improved significantly more than that of the control group. Furthermore, the experimental group outperformed the control group in cohesion and coherence, structure, style and cultural aspects. In fact, the findings indicated that employing AI-powered translation tools per se will not lead to a significant improvement in learners' translation quality unless the training is integrated with pedagogical application of a digital age learning theory, such as connectivism.

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This study investigates the potential of interactive English as a Foreign Language (EFL) learning tools powered by Artificial Intelligence (AI) to enhance digital competence among higher education students. The primary aim is to detail the learning process in several aspects: Interactive EFL Learning Based on AI, its impact and implications, and Students' Digital Competence. The research employs a qualitative approach, utilizing qualitative interviews and classroom observation. A sample of 80 students from three different universities participated in using AI-powered EFL tools (ChatGPT) over a semester. The study employed intervention assessments to measure changes in digital competence and English writing proficiency. Additionally, student feedback was collected through structured interviews and observation to explore their experiences and perceptions. The collected data were processed and analyzed using manual coding techniques by compiling every response and organizing the summary.The results indicate that AI-based EFL tools significantly improve students' digital competence, including their ability to use technology effectively for writing tasks. Students demonstrated enhanced engagement, better language skills, and increased confidence in using digital tools for academic purposes. However, challenges such as technological anxiety and varying levels of tool effectiveness were also identified. This study highlights AI's efficacy in enhancing digital competence within the EFL environment, adding to the expanding corpus of research on the topic. The results offer important insights for educators and policymakers aiming to improve English language education using innovative AI-based approaches.
 

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This study explores teachers’ readiness to implement generative artificial intelligence (GenAI) in their teaching and learning processes, alongside the benefits and challenges related to its utilizations in the Omani context. The data analysis process involved analyzing responses from the 5-point Likert scale questionnaire using descriptive statistics. A sample of 61 teachers with different qualifications from different educational institutions in the Sultanate of Oman participated in the study. The findings revealed that teachers had a positive level of readiness to implement GenAI, highlighting a spectrum of readiness levels, such as attending training sessions about GenAI, and a significant willingness of utilizing GenAI tools in their classes. On the other hand, teachers reported a positive benefit and experience in improving their teaching, stating that GenAI enables them to save their time, improves their teaching experience and job satisfaction, and offers them adaptive learning and instant feedback. However, findings revealed number of challenges for teachers such as a lack of awareness about policies and ethics in implementing GenAI tools, and their cost. Moreover, teachers indicated a moderate concern regarding the challenges of integrating GenAI tools into their teaching practices. Based on the findings, the study provides significant insight for teachers, policymakers, and syllabi designers, stressing the significant importance of preparing teachers to efficiently integrate GenAI in their pedagogical duties to make the most educational potential while mitigating related risks.

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This study conducts a bibliometric analysis of Artificial Intelligence (AI) in English education, employing co-citation and co-occurrence analyses to investigate significant research trends, theoretical frameworks, and interdisciplinary connections. The analysis delineates four primary research clusters: AI-assisted language acquisition, ChatGPT in educational methodologies, AI chatbots for English as a Foreign Language (EFL) students, and AI-facilitated student engagement. The co-citation analysis identifies pivotal studies that influence the intellectual framework of the field, whereas the co-occurrence analysis underscores thematic trends and research deficiencies. This study enhances the Technology Acceptance Model (TAM) by integrating pedagogical and ethical aspects, illustrating the interaction between perceived ease of use, usefulness, policy frameworks, teacher readiness, and AI implementation in education. Notwithstanding AI's transformative potential, challenges persist, encompassing data privacy issues, algorithmic bias, ethical dilemmas, and the necessity for interdisciplinary collaboration. To connect AI with sustainable and equitable education, future research has to investigate the long-term adoption of AI, geographic disparities, and strategies for effective pedagogical integration. This study presents a framework for the ethical, effective, and interdisciplinary integration of AI in English education by promoting collaboration among educators, AI researchers, and policymakers.

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  This study shows the integration of e-commerce and advanced algorithm-based learning to establish a sustainable economic system and foster cultural education. The research also investigates the impact of rural aging on the utilization of several different land types, including arable land, forest land, and transportation land. The incorporation of e-commerce platforms offers advantages such as resource consumption reduction and efficient supply chain management, enabling broader market access and sustainable production and consumption. However, challenges related to data privacy, algorithm bias, and the digital divide need to be addressed for inclusive access. An artificial neural network (ANN) was constructed to analyze the impact of resource consumption and cultural exploration on market access, ethical practices, and data privacy. The ANN predictions showed that cultural exploration is most prominent with restricted market access, while data privacy is inversely related to ethical practices and market access. Regardless of consumption levels, resource consumption leads to increased data privacy. The study also found that rural aging has a significant negative impact on urban, industrial, and transportation land, but no significant impact on arable, forest, and garden land. The impact varies between towns and townships, with rural aging reducing urban and industrial land in towns but promoting the expansion of forest and grassland in townships. The results show the promising avenues for sustainable economic development and cultural education through the integration of e-commerce and advanced algorithm-based learning, while emphasizing the need to address key challenges and the implications of rural aging on land use for sustainable development.

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Reactive Powder Concrete (RPC) is recognized as one of the most innovative types of concrete, notable for its exceptional strength and durability. This type of concrete is composed of essential components such as cement, silica fume, quartz powder, silica sand, superplasticizer, and water. Due to its superior mechanical properties, RPC is widely utilized in specialized projects and structures that require outstanding strength and durability. However, the high cost of its components, particularly quartz powder, significantly increases the overall production cost, limiting its widespread application in larger, cost-sensitive projects. Quartz powder is scarce in the Azerbaijan region of Iran and is often sourced from mines in Hamedan and Isfahan. By replacing it with more locally available, affordable materials, final production costs can be reduced. To address this issue and optimize the use of available resources, the possibility of substituting quartz powder with local, cheaper, and more accessible materials has been explored. Micronized quartz powder is crystalline, though some of its finer particles have a minor pozzolanic effect. In contrast, diatomite powder, which contains both amorphous and crystalline particles with a high percentage of amorphous silica, exhibits significantly greater pozzolanic activity. These enhanced reactions contribute to the formation of a denser and stronger concrete matrix, improving its mechanical properties. The purpose of this study was to investigate the feasibility of replacing quartz powder with diatomite powder in different proportions—specifically 25%, 50%, 75%, and 100%. The goal was to evaluate how this substitution affects the concrete's strength while also reducing overall production costs. In this research, concrete samples were tested at various curing ages, including 7, 14, and 28 days. Mechanical tests such as compressive strength and tensile strength were conducted to assess the effects of the substitution on the concrete's performance. Additionally, parameters such as standard water absorption, water absorption during curing, density, and consistency were measured. To simulate real-world construction conditions and avoid the use of specialized equipment, the samples were cured in a water tank at 25°C. This curing method not only eliminated the need for expensive equipment like autoclaves but also made the concrete more applicable to typical site conditions, further lowering production costs. The test results were promising. The strength of the modified concrete mixtures improved significantly when diatomite powder replaced quartz powder. In samples where 100% of the quartz powder was substituted with diatomite, the compressive strength increased from 543 MPa to 806 MPa (approximately 49%), and the tensile strength increased from 543 MPa to 806 MPa (approximately 18%) at 28 days. In addition to the improvements in mechanical properties, the use of diatomite powder offers significant economic advantages. Diatomite is abundantly available in various regions, and its accessibility reduces both production and transportation costs. As a result, the overall production cost of the concrete is significantly lowered, which is especially beneficial for large-scale construction projects where cost efficiency is critical. In conclusion, replacing quartz powder with diatomite powder is a practical solution that brings both technical and economic benefits. The enhanced strength of the concrete, coupled with reduced production costs and the efficient utilization of local resources, makes this approach a practical and effective method for producing high-performance concrete.

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The significant wave height is a critical parameter in the design and analysis of marine structures, as well as in their operational use. Consequently, predicting this parameter greatly contributes to improving the design and analysis of marine structures. Various modeling approaches for wave characteristics include numerical, empirical, and artificial intelligence models. This study employs the SWAN model, which is a third-generation model for the simulation and estimation of wave characteristics. Furthermore, soft computing models, including individual and hybrid artificial intelligence models such as Adaptive Neuro-Fuzzy Inference System (ANFIS), Support Vector Machine (SVM), and Emotional Artificial Neural Networks (EANN), have been utilized for wave height prediction, using data from the Amirabad buoy for validation purposes. In this research, the model inputs consist of wind speed, while the outputs are the wave heights. The analysis of the different models was carried out using statistical metrics, including bias, root mean square error, coefficient of variation, and coefficient of determination. The evaluation of the models using these statistics indicates an acceptable agreement between the significant wave heights estimated by the SWAN model and the buoy data. Additionally, each of the three artificial intelligence models mentioned demonstrates a relatively accurate capability in predicting wave height. A comparison of the results from the artificial intelligence models revealed that the Support Vector Machine model exhibited higher accuracy than the others. The Support Vector Machine model serves as an alternative method to the SWAN model or other numerical techniques, enhancing modeling outcomes when wave height data is unavailable or lacks the necessary statistical quality.
 

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Steel plates are widely used in various industries, especially in civil engineering. Low cost in implementation and reduction of seismic mass are the advantage of steel shear wall system compared to other structural systems. The goal of a good design is that along with following the existing guidelines and achieving the desired seismic resistance of the structure, the structure is affordable in terms of weight and cost. Considering that according to the design, it is not possible to achieve the optimal use of the structure's capacity by force control method, the theory of uniform deformations was proposed with the assumption of a constant performance level. The subject of design based on performance increase the safety of the structure against earthquake force and design with optimal seismic performance during the useful life of the structure in seismic areas. Also, compared to the design method based on force control, it can lead to a lighter and economical design.
One of the significant ways to reduce the weight and stiffness of shear walls and boundary elements connected to them is to limit the connection of filler plates to boundary elements. In this method, limiting the length of the connection reduces the force on the beams and columns, and as a result, smaller sections can be used.
In this research, in order to achieve the optimal performance level, two concrete frames with steel shear wall resistant system are subjected to nonlinear analysis. Then, the initial evaluation of the behavior and the correctness of the used method are checked. After that, the effective factors in achieving uniform stress in the height of the structure will be investigated. For this purpose, by using the effect of the thickness parameter and the appropriate pattern of connection of the shear steel plate to the surrounding elements, the way of changing the performance and behavior of the structure will be investigated. For this purpose, 3- and 4-story concrete frames with steel shear wall systems were modeled using ABAQUS^TM finite element software. The steel used in the steel shear wall system is ST37. First, the connection of steel shear plates to floor beams was considered and then the influence of the partial connection pattern on the seismic performance of the steel shear wall system was investigated. The modeled frames were subjected to dynamic analysis, linear and nonlinear buckling analysis, and cyclic analysis. Based on the obtained results, the property of energy dissipation in the frame with a steel shear wall system with partial connection has increased significantly. Changing the partial connection pattern led to changing the maximum in-plan relative displacement. Also, the surface of the stress distribution shows that in the partial connection, the stress concentration mainly occurred in the place of the steel shear plate connections. In addition, according to the results of cyclic analysis, considering the partial connection of the steel shear wall has led to a decrease in the average energy absorbed in the structure and an increase in its ductility. Also, changing the connection pattern has affected the average amount of absorbed energy in different loading cycles.

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Abstract one of the most important purposes of studying Persian painting is to discover the mysteries of these traces and proving their relation with other Iranian and traditional art literature and with a special point of view showing their connection with the layout and grammar design in the past time. The growing of this art isn’t separated from the life of the adherents. And it’s to be effective on producing all traces of Persian painting, and always have related to the rich contents of Iranian literature; and to make available space for growing and raising the culture of this country. Traveilling through this way has created a wonderful force on personality of the painters, so that connected their mind with the principle source, away from the world powers. For studying and analyzing the structure of the two masterpieces of Persian painting of manuscript books (Shahnameh - Baysonquri and Haft Orang - Jami), the article is trying to point out and explain about the grammar design of these paintings and the way that these scientific method can be used in the new graphic arts

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Aims: The postpartum period presents significant physical, emotional, and social challenges for mothers. One common issue is postpartum blues, which can negatively impact maternal well-being. This study aims to analyze the effect of yoga exercises on preventing postpartum blues in postpartum mothers using family health media as an intervention.
Instrument & Methods: A quantitative analytical study with a quasi-experimental approach was conducted. The study involved postpartum mothers at the Alisah Clinic, utilizing a total population sampling technique. Data were collected through structured questionnaires and interviews, then analyzed statistically using SEM-PLS to evaluate the relationship between yoga practice frequency, duration, family support, and postpartum blues prevention.
Findings: The results show that yoga exercise significantly reduces postpartum blues symptoms. Higher frequency and longer duration of yoga sessions contribute to better mental and physical well-being. Additionally, the quality of family health media plays a crucial role in enhancing knowledge and promoting behavioral changes supportive of yoga practice. Family support was found to positively influence the consistency of yoga practice.
Conclusion: Yoga exercises, when practiced regularly with adequate duration and supported by quality health media and family involvement, are effective in preventing postpartum blues. These findings highlight the importance of accessible and structured yoga programs as part of postpartum mental health care.
 

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Evaluation of Liver Enzymes’ Level in Blood Serum of Crystal Addicts Introduction: Crystal or dimetamphetamine is one of the harmful substances which are imported to Iran in the last few years. Crystal is made of pure heroin. Its harmful effects are more than heroin. Addiction to crystal can produce psychological and organ damage. In order to find out which part of body could be affected, examination of enzymes is useful. Liver is one of the organs which can be infected by drug abuse. Liver function test can be used to show these harmful effects. The aim of the present study is to exanimate of the effects of crystal abuse on liver enzymes such as Aspartat transaminase, Alanine transaminase and Alkaline phosphatase in crystal abusers. Materials & Methods: The current study is a case-control and cross-sectional study on 105 crystal addicted as case group who had referred to addiction treatment center for the first time and 100 healthy people as control group. The activity of enzymes was measured by callorimetery-spectrophotometry method. Results were analyzed by T-test exam and SPSS-16 software. Results: results show that using crystal increases the level of AST, ALT and ALP and there is a significant relationship between crystal abuse and the level of ALP (p=0.027). In addition, there is a significant relationship between duration of crystal use and the level of ALP (p<0.05). Conclusion: comparing with AST and ALT levels, ALP level is more affected by crystal abuse.

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The adjective "sustainable” is used for worldwide explanation where both human and nature can live up to their present needs, sustain the rights of future generations and protect the environment without the existence of destructive effects. Use of natural resources accordingly to provide today’s human needs and not to become dangerous for  future’s human needs is the issue that leads architects to follow the principles of sustainable development. In this investigation, improving of climatic technology and use of climatic condition and natural resources in traditional architecture of Iran and contemporary architecture will be studied. It is often forgotten and even ignored that architectural traditions are rich in content, given that they have found the right harmony between the necessities of living, the environment, material resources and ideas on the use of space. Using these criteria, contemporary architecture could take a direction where cultural continuity and adaptability not only take pride place but also provide guidelines for climate-adapted and sustainable architecture. However, during the last decades, the impact of socio-economic and cultural changes on traditional environments has become obvious. Contemporary design is increasingly depending on the mechanically controlled environments in order to maintain comfort, hence, increasing energy consumption. For achieving this goal, first, the importance of climatic traditional architecture of Iran and its principles of designing will be noticed. In other words, we will find how climatic architecture can influence sustainable development by using renewable energy resources like wind and solar energy and climatic condition. In this part, the paper focuses on the role of climatic responsive design, building situation in a site and angle of sunlight, building form, building roof, interior thermal comfort and natural air ventilation. In the second part, we will study the role of new and smart technologies in achieving sustainable development goals. As we know, time is passing and human knowledge develops every day, so it is necessary to pay attention to new and smart technologies behind the climatic responsive design until we can design buildings in respect of human comfort that are conformable with sustainable development as well. So, according to revolution have been existed by nanotechnology. It is noticed to Nano smart Technology and using of renewable energies. Undoubtedly, nanotechnology can provide many opportunities for architects and engineers for enhancing the construction material and decreasing their weak points and increasing their advantages. Buildings have the main role in balancing energy consumption. Solar energy, which is known as Photovoltaic energy can provide energy without using fossil fuels. Due to the importance of photovoltaic energy for improving of the efficiency and flexibility of solar cells, they have been widely studied. In this case, Nano- technology has made some progress in providing energy from wind and sun in micro scale. The main goal of this article is to study on climate design and usage of new technologies. Climate design refers to the principles that we follow in traditional architecture, where the materials are clay and brick. However, now that the material and construction technology have been improved; the question is how we can have a conformable architecture with sustainable development?

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In Iran, a total of 12 species of Coccomorpha from five scale insect families have been recorded on Artemisia spp. (Asteraceae): Acanthococcidae (1), Coccidae (3), Diaspididae (4), Ortheziidae (1) and Pseudococcidae (3). In this study Peliococcus chersonensis (Kiritshenko), Pelionella grassiana (Goux) (Pseudococcidae) are redescribed and illustrated based on adult females to show their morphology in Iran, and also Rhizococcus borchsenii (Danzig) (Acanthococcidae) are newly recorded for the first time from Iran. Species that have been previously collected or recorded on Artemisia in Iran are listed and information is given about host plants and global distribution for each species.

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Nowadays, application of enhanced oil recovery methods has increased; therefore it’s necessary to determine their impacts on environment and human life. So, this research investigates the environmental impacts of conventional enhanced oil recovery methods and new methods such as using electromagnetic waves, ultrasound waves, and nanoparticles. The investigations show that electromagnetic waves and ultrasound can effectively remove many environmental pollutants. Characteristics of the wave and the type of formation determine that these waves have different effects on the formation, and efforts should be made to understand these effects to prevent damage to the formation. Nanoparticles can also reduce the quantity of pollutants in the environment. According to the mechanisms of entrapment of nanoparticles in the porous medium, they may remain in the reservoir and find their way to the underground water over time, so their environmental effects should be considered in the long term. A better knowledge of new methods of increasing oil extraction will lead to the identification and use of more suitable methods with less environmental effects (compared to conventional methods).

 

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Smart security, driven by cutting-edge security knowledge, infrastructure, political landscape, and media utilization, plays a vital role in facilitating and boosting economic activities. The political dynamics among nations and geopolitical developments in the vicinity of each country directly impact the fluctuations in tourism within that nation. The more effectively a political entity can execute security measures, the safer it appears to tourists, ultimately fostering more sustainable economic development. Due to the omnipresence and influence of media in contemporary life, the nature of security measures significantly affects the enhancement or weakening of economic indicators. This paper is a comparative study of the African tourists’ impression of Iran before and after the   revolution.  This research employs a descriptive-analytical approach to assess the state of smart security from the perspective of foreign tourists who visited Iran during the first half of the year 2023. The sampling method utilized in this study was systematic random sampling, resulting in a sample size of 133 individuals. The findings of this research reveal that 81% of tourists perceive Iran's security and political situation as influential in tourism attraction. Furthermore, after entering Iran and experiencing the reality, 62% of tourists have a positive perception of the security situation and its impact on tourism. Therefore, the adoption of intelligence and sustainable security measures will lead to increased economic prosperity and overall well-being.