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This study investigated the construct validity and measurement invariance of the Teacher Emotion Questionnaire to introduce a valid and reliable instrument for assessing English-as-a-foreign-language (EFL) teachers’ emotions inside the classroom. Second language (L2) teacher emotions have been largely neglected, despite the fact that Educational Psychology has long recognized and researched the role of teacher emotions in different aspects of teaching and learning. To bridge this gap, the current study had 208 Iranian EFL teachers in private language institutes fill out the Teacher Emotion Questionnaire (TEQ), which assessed six emotions teachers experience in their classroom, i.e., Joy, Pride, Love, Anger, Fatigue/Exhaustion, and Hopelessness. The preliminary analysis of the data showed that six items from the TEQ had a factor loading below the minimum recommended level of 0.3, meaning that they contributed to the total variance in the participants’ score less than expected. The collected data were then submitted to confirmatory factor analysis (CFA) for the purpose of construct validation and establishment of the factorial structure of the TEQ. The CFA results indicated that the hypothesized six-factor analysis had more favorable goodness-of-fit indices than both a one-factor structure and a two-factor structure (e.g., positive versus negative emotions). Multilevel CFA revealed that the tested six-factor structure of the TEQ was invariant across male and female EFL teachers. The implications for the use of TES in EFL teaching contexts are discussed, and some suggestions are proposed for further validation of the TEQ in language teaching contexts.
 

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The present study aimed to investigate the effect of gender on the L1-L2 syntactic processing in balanced bilinguals who learned their L2 at the age of seven. Using event-related functional magnetic resonance imaging (ER-fMRI), Turkish-Persian balanced bilinguals (15 women and 15 men) performed an auditory grammaticality judgment task with an alternating language switching paradigm. Based on the Bilingual Dominance Scale, no significant difference was observed between the participants' proficiency in their L1 (Turkish) and L2 (Persian). Imaging results demonstrated strong neural similarity between men and women in two left-lateralized syntax-specific ROIs (Pars opercularis and posterior superior temporal gyrus), supporting the indistinguishable gender performance during L1-L2 syntactic processing. In addition, in EF-specific areas in right-hemisphere (planum temporale, supplementary motor area, superior parietal lobule and superior frontal gyrus), we did not observe differences in hemispheric recruitment by men and women, evidencing empirically for gender sameness in lateralization. Therefore, the present task and sample are not consistent with the previous claims that women show (a) superior language performance and (b) less lateralization. In general, our findings suggest that L1 and L2 syntactic processing in balanced bilinguals is not affected by the gender parameter.
 

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This article explores the effect of iconicity and textual cohesion on processing causal relations in Persian discourse using an experimental method. A reading-time task with a within-subject design was set up. Twelve 3-sentence experimental scenarios and 12 filler scenarios were constructed. Iconicity and cohesion were the independent variables and participants’ reaction time (RT) was the dependent variable. The cohesion variable manipulated the degree of cohesion between the first and second sentences of scenarios. The iconicity variable manipulated the order of the second and third (cause and effect) sentences of scenarios. Forty-eight participants read the scenarios and verified if the target sentence, which asserted the implicit causal relation between the second and third sentences of scenarios, was correct. The RTs of the participants were collected using DMDX program. The data were then submitted to a mixed-model analysis in R. The main effect of iconicity and cohesion on participants’ RTs was found. There was no interaction effect between iconicity and cohesion. The target sentence had the shortest RT in the condition with iconic and high-cohesion scenarios. Also, the target sentence in the condition with iconic but low-cohesion scenarios was processed as fast as the target sentence in the condition with non-iconic but high-cohesion scenarios. The findings confirm the facilitatory effect of iconicity on understanding causal sequences. The results also show that if, for discourse reasons, information is provided non-iconically, the existence of highly cohesive relations between the causal sequences and the previous context can compensate the non-facilitatory effect of non-iconic sequences.

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The aim of the present study was to examine whether Metacognitive Intervention (MI) in their first language (L1) had any significant effect on English as a Foreign Language (EFL) learners’ Working Memory (WM) in listening comprehension when they received it. In addition, it measured whether gender had any effect on EFL learners’ listening comprehension when they receive MI through L1. To this end, 60 Iranian EFL learners were selected through a Quick Placement Test and were assigned into two male and female experimental groups. These experimental groups received an eight-week intervention program, designed by the pedagogical cycle proposed by Goh and Vandergrift (2022). After the metacognitive intervention in L1, two posttests including a working memory capacity test and a listening comprehension test were administered. The findings indicated that there was a significant effect on EFL learners’ working memory in listening comprehension after they received MI in L1. It was also found that gender had a significant effect on the EFL learners’ working memory and listening comprehension when they receive MI in L1. The findings might contribute to assisting language instructors to adopt strategy-based approaches to teaching listening. Furthermore, curriculum designers and ELT policymakers might consider metacognitive intervention as an effective teaching approach and add it to EFL learners’ curriculum.

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The prototype of any category is the member or set of members of a category that best represents the category as a whole. Not everything fits perfectly in a category. Categories are defined by an intersection of properties that make up their members. The language is set of different categories and we should attend to categories in language teaching. Gender and mother language are among these components that should be considered in the teaching and learning process. Research about prototype is necessity because no basic prototype study, and the impact of gender and mother language on the formation of this concept have not been made among farsi lernears. As a result, one group of forty speakers who were learning Farsi selected. Each group included 20 men and 20 women. Men from Hojjatieh school and women from the Bent-Alhoda center were selected, both under the supervision of the Almustafa international university. In the category of domestic animals, 41.17% of men chose cows, while the same percentage of women chose sheep, horses, and dogs. In the field of sports, in addition to the first choice, the second and third choices of women and men were completely different, men have chosen shooting and cricket, and women have chosen volleyball, football and walking. Also, in the category of vehicles, although both sexes chose airplane as their first choice, their next choices were different, men chose train and car while women chose bus, car and bicycle.
 

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This study employed a comprehensive scientometric analysis of scientific publications within the Journal of Language Related Research from 2012 to 2023, encompassing 871 journal documents. Utilizing VOSviewer software, quantitative tools were applied to analyze research output, authorship, collaboration patterns, thematic trends (past, present, and future), and geographical distribution. The analysis revealed a significant increase in the number of publications in recent years, though citation rates displayed variation across the timeframe. Visualizations based on co-authorship, bibliometric coupling, and citation data unveiled a dense network of collaboration among authors. The authors with the highest number of publications were Golfam (n =17) and Pishghadam (n =16),  while Derakhshan (78) and Shakki (65) were the two authors with the most citations. Analysis of "authors' keywords" and "keywords plus" co-occurrences within the network pinpointed prominent thematic areas within the journal's knowledge domain and context, including "Persian language," "critical discourse analysis," "semiotics," and "cognitive linguistics." The study concludes with a discussion of the findings and their broader implications.


 

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Urban growth boundaries are considered one of the key tools for controlling and managing the physical development of metropolitan areas. Uncontrolled and unplanned expansion in these regions has become a major challenge for urban and regional planners and managers, as this process leads to the destruction of agricultural lands and natural resources. The aim of this research is to simulate and assess future changes in growth boundaries in the Isfahan metropolitan area with the goal of preserving environmental resources and controlling physical expansion. In this regard, by adopting a positivist approach that follows an analytical and measurement-driven process, satellite imagery was utilized to assess changes in the physical expansion of the Isfahan metropolitan area. Artificial neural networks and machine learning algorithms were employed to predict the extent of future physical growth, and the projected growth boundaries were delineated. The research findings indicate that the Isfahan metropolitan area has experienced significant uncontrolled expansion, particularly in terms of physical development, over recent decades, and the reduction of agricultural and natural lands has become one of its major challenges. Based on the conducted simulations, the proposed growth boundaries can serve as an effective tool for managing and planning urban-regional development and preventing further degradation of natural resources and lands.

 

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Rural handwoven carpet weavers, particularly in the context of handmade silk carpet production, grapple with significant challenges concerning recognizing all stakeholders and establishing timely connections. These challenges have a substantial impact on the adoption of innovation in carpet production and the overall enhancement of productivity. This research was conducted to scrutinize the communication network of carpet weavers within the Knowledge and Innovation System (KIS) of handmade silk carpet production in rural areas. Data were gathered through interviews with 270 rural households in Zanjan province, specifically in the Tarom, Khodabandeh, and Zanjan counties, utilizing a structured questionnaire. Social Network Analysis (SNA) in UCINET was employed to examine the interactions among these actors, and graphical representations were created using Net Draw. The results revealed that the network's density varied across different levels, showing weakness in some cases, moderate strength in others, and strong connections in select instances. The connections of carpet weaving families with other actors within the KIS were predominantly localized. Among these families, those utilizing the home-based wage production method exhibited the most extensive interactions. The individuals designated as "FMs" (likely referring to family members) and "WNVKRs" (possibly local experts) demonstrated the highest degree of connection and influence within the network of weavers' interactions
 

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The Ministry of Agriculture Jihad in Iran implemented contract farming (CF) for wheat in 2021 to address marketing issues. This study compares agricultural sustainability for farmers participating in and not participating in CF. Agricultural sustainability was assessed by applying a combined index approach that considers economic, social, and environmental dimensions. The required data came from 620 wheat farmers in Golestan province, sampled using the multi-stage randomization technique. The data were evaluated using exploratory factor analysis (EFA) and clustering methods. The findings indicated a significant difference in the performance of economic and environmental sustainability dimensions between two groups of wheat farmers. For the participants, 14.2% were deemed unsustainable, 47.7% were considered partially sustainable, and 38.1% were classified as sustainable. For non-participants, the figures were 38.7%, 47.7%, and 13.5%, respectively. Therefore, it is suggested to provide more opportunities for participation in this program and expand it to other key crops. Additionally, authorities should provide more information about the benefits of the CF plan.

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This research aimed to explain and validate the green curriculum’s (GC) characteristics based on the critical competencies of education for the 21st century. Hence, a mixed research method was used. In the qualitative section, being used for identifying characteristics of GC, experts who have scientific experience(s) related to sustainability in Iran's higher education system were selected using snowball sampling, data were collected and analyzed through semi-structured interviews and content analysis, respectively. The validity of the identified GC characteristics was examined quantitatively based on the Lawshe method. In this section, based on the Lawshe method, 40 faculty members and doctoral students in educational sciences were selected using simple random sampling to evaluate the characteristics’ appropriateness by a three-level scale. Based on the results, 50 characteristics were extracted from the interviews and the documents. However, two of them were not acceptable based on the Lawshe method. Moreover, results revealed that each of the five competencies defined for education in the 21st century (including learning to know, learning to be, learning to do, learning to live together, and learning to transform oneself and society) is aligned with several characteristics of the green curriculum. Finally, some of our suggestions to operationalize the mentioned competencies in the format of GC can be offered as follow; considering environmental management in academic curricula in various fields, defining practical projects for students to apply whatever they have learned, encouraging students to communicate with environmental organizations, and also global research communities to widen their horizons toward environmental issues.
 

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Climate change (CC) is one of the major challenges of our time that impacts rangelands regionally and globally. The rising vulnerability among pastoralists highlights the need to prioritize resilience thinking. Pastoralists' resilience refers to the ability of rangeland businesses to endure, adapt to, and remain flexible in the face of threats or challenges. This research was conducted with the primary goal of analyzing the factors that influence resilience from the perspective of pastoralists in Tehran province under CC conditions. This research was both goal-oriented and exploratory in methodology. The study sample consisted of 317 pastoralists selected through stratified random sampling. The data collection tool was a researcher-made questionnaire. Software SmartPLS was used for data analysis. The validity of the questionnaire was assessed using the average variance extracted, while its reliability was established by calculating composite reliability and Cronbach's alpha. Data were analyzed using the structural equation modeling technique with Smart PLS software. The structural equation modeling indicated that economic, institutional, ecological, physical, social, educational and extensional and individual factors had the greatest impact on Pastoralists' Resilience under Climate Change (PRCC) conditions. These factors explained 75.5% of the PRCC conditions.
 

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 Fresh fish is a highly perishable food item and spoils easily. In this research, after investigating the antioxidant properties of the Eryngium Campestre extract (Ece), its effect along with the sodium alginate coating was evaluated on the shelf-life of rainbow trout under refrigerated conditions (4°C) for 12 days. To assess the antioxidant properties of the extract, tests such as DPPH, total phenolics, reducing power, and ABTS were performed. Subsequently, samples treated with an Ece containing alginate coating applied via spray method were analyzed for chemical parameters (TBA, TVN, and pH) , microbiological parameters (total psychrotrophic and mesophilic bacteria), and sensory evaluations at four day intervals up to the 12 day. The results indicated that Ece possessed significant antioxidant properties. Furthermore, treatments that included the extract combined with the sodium alginate  coating significantly reduced pH, TVN, and TBA levels compared to the control sample (p<0.05). Microbial tests indicated that all treated samples inhibited bacterial growth when compared to the control sample, with a reduction of approximately 3 log CFU/g compared to the control group. In the sensory evaluation, treatments containing Ece and sodium alginate  yielded more favorable results than those of the control group. According to the obtained results coating the samples with sodium alginate  and Ece improved the microbial, chemical, and sensory properties and shelf life of rainbow trout in refrigerator conditions by about four days.
 

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The use of pozzolans is very necessary and inseparable for the sustainable development and better performance of the concrete industry. In the production of concrete, the combination of iron powder, fly ash, metakaolin and limestone powder under the name of fracking is used as materials and substitutes for cement in different percentages. The compressive strength of this concrete is higher than normal concrete. This type of concrete is a very new concrete that few tests have been done on it in the world, so there is not lot of information available about it. According to the studies, the most important features of this concrete are the use of iron waste, reduction of air and environmental pollution, cost savings and higher compressive strength than ordinary concrete. In this research, in order to protect the environment and reduce environmental pollution, fracking has been used as a relative substitute for cement. After obtaining the appropriate proportions, the frac mixture with percentages of 0, 3, 6, and 9 was considered as a substitute for cement. There were 8 tests in this research, 4 tests of the first category were carried out with the mentioned percentages of frac and 0% of steel fibers, but in the 4 tests of the second category, the volume of 1% of steel fibers was considered in the mixture. In this research, a total of 16 concrete samples were made, of which 8 of the first batch were used for pre-heating tests and 8 of the second batch were used to collect the results and performance of the concrete after heating. took After making the concrete samples and performing the necessary processes, the concrete samples were molded and placed on the vibrating table in order to make them denser and prevent voids in the concrete. After vibrating for a sufficient time, the samples were placed in the open space for 24 hours and then placed in the water basin for the processing process. A group of samples was taken out of the pond after 7 days to perform compressive and tensile strength tests (at the age of 7 days, due to the freshness of the concrete, exposure to high heat was not done) . After 28 days, the second batch was removed from the water and prepared for testing. The tests performed on these samples include compressive strength before and after heating, bending strength before and after heating, ultrasonic before and after heating, and water absorption before and after high heat. To test the performance of the samples after heating, the samples were placed in the furnace at a temperature of 450 degrees Celsius for 60 minutes (one hour) and after one hour, the samples were removed from the furnace and The samples were cooled at a temperature of 24 degrees Celsius. After the cooling of the samples, the tests were conducted on the samples, and the results indicated that the increase in the amount of frac leads to a 16% increase in the compressive strength before heating and improving its mechanical properties compared to ordinary concrete.

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The effective design of structures resistant to seismic vibrations is one of the main concerns of structural engineers to deal with damages caused by earthquakes, which can withstand more earthquake forces with methods such as energy dissipation. Recent earthquake records show that the earthquake record characteristic of the near area differs from the earthquake records of the far area. Among these characteristics, it can be mentioned that the pulse-type state of these records, as well as the high maximum speed and ground displacements. For this reason, these types of records increase the seismic requirements of the structure compared to normal earthquakes. The map of faults and seismic zoning of Iran shows that important urban points such as Tehran, Tabriz, etc. have high seismicity and are located near the fault. Therefore, it is necessary to design and build structures that can properly withstand the features of near-fault earthquakes, this issue reveals the understanding and recognition of the behavior of structural systems and the structure's response to the special features of near-fault earthquakes. This article first investigated the seismic evaluation of three existing 4, 8, and 12-story steel structures with lateral load-resisting systems. Then the desired structure was strengthened using a friction damper, and finally, the acceleration recorder was applied to the structure in the near- and far-fault earthquake zone case study. The seismic demand of the retrofitted structure was investigated in ANSYS Workbench finite element software, which was done in the form of modal analysis, floor drift displacement, structure acceleration response, and von Mises stress. For seismic validation, a two-story, single-span steel frame has been used. The dynamic load used was 0.5g based on the north-south component of the El Centro earthquake (1940) with a maximum acceleration scaled to 50 cm/s. To validate the numerical results, the horizontal displacement of two points on the first and second floor was compared with experimental data, and an acceptable accuracy was obtained. The results of the maximum acceleration at the highest point of the building showed that in a far-fault earthquake zone, the best effect of dampers was on 8-story buildings with a 77% decrease, and in a near-fault earthquake zone, it was related to a 4-story building with a 66.4% decrease in acceleration. Stress in near- and far-fault earthquake zones, the best effect of dampers was on 4-story buildings with 83% and 84% reduction, respectively. In a far-fault earthquake zone, the best effect of dampers was on 8-story buildings with a 44% reduction in maximum displacement, and in a near-fault earthquake zone, it was related to a 4-story building with a 61% reduction in acceleration.
 

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Aluminum nano-films are one of the functional elements that have various applications in different fields such as strengthening cement base materials, improving the performance and efficiency of concrete, and enhancing the mechanical and volumetric properties of clay. In this study, the mechanical responses of aluminum nano-film are investigated under uniaxial tensile and compressive tests using the molecular dynamics (MD) method. The initial configuration of the nano-film is constructed based on a 3D aluminum core—alumina shell model that provides a suitable description of surface oxidation in the nano-film. This model is useful to determine the influence of surface oxidation on the mechanical behavior of nan-film. Because of the accuracy and competency, the inter-atomic interactions are evaluated using the EAM+CTI potential, which is a hybrid potential consisting of two components, i.e., EAM and CTI potential, such that it can also take into account the electrostatic interactions between the atoms. After establishing the initial configuration, the energy minimization process is performed on the nano-film, and then its temperature and pressure are adapted to the environmental conditions through the relaxation process. The MD analysis is accomplished by the open-source LAMMPS software, and the visualization of outputs is performed by the open-source OVITO software. The periodic boundary condition is imposed on the lateral sides of the nano-film to eliminate the free surface effect of the atomistic analysis. The tensile and compressive tests are applied to the nano-film in accordance with the experimental tests, and the stress—strain curves are determined. The concept of Virial stress is employed to calculate the stress of the atomic model, which is equivalent to the conventional Cauchy stress in classical mechanics. In order to diminish the dynamic effects, deformation is incrementally applied to the nano-film, such that at each increment, a small strain is gently imposed, then the nano-film is relaxed under the deformed conditions, and finally the stress and strains are evaluated. The numerical simulations are verified by comparing them with experimental data, which demonstrates the acceptable accuracy of the obtained numerical results. The influence of various parameters such as the thickness and the percentages of oxide layers are investigated on the mechanical response and stress-strain curve of aluminum nano-film under the uniaxial tests. It is demonstrated that the thickness of the oxide layer significantly impacts the mechanical behavior, such that the hardness and energy absorption capacity of the nano-film is increased considerably by increasing the percentage of the oxide layer thickness. However, increasing the total thickness of the nano-film leads to a decrease in the Young’s modulus and elastic limit of the specimen. It is because of the decrease in the percentage of oxide layer thickness by increasing the total thickness of the nano-film. Point defects are one of the important imperfections in the crystal structures of atomic configuration that have a significant effect on the mechanical behavior of materials. In order to investigate the influence of point defects, different percentages of voids are generated by randomly omitting some atoms in the nano-film domain. The generated specimens are analyzed under the uniaxial tests, and their mechanical characteristics are evaluated. The numerical simulations demonstrate that the hardness of the nano-film is significantly reduced by increasing the point defects.