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This paper reports on a quasi-experimental research performed in the field of reading comprehension and translation quality. The purpose of this paper is to investigate the comparative effect of explicit vs implicit reading comprehension skills on translation quality of Iranian translation students at BA level.

The design of this research was quasi-experimental in nature. This design was preferred in this study, as it was impossible to assign random sampling to the subjects and apply a true experimental design. The research in hand was also a comparative group design research in a sense that it was supposed to compare two reading comprehension methods (explicit vs implicit) with different treatments.

In light of this research, some conclusions can be drawn. It can be concluded that there is a positive and direct relationship between reading comprehension and translation, as the first step of translation is to understand the content of the source text (Reid, 1993).

The reading comprehension ability of translation students should be enhanced in their undergraduate classes so that they can better understand the source text and produce a more fluent translation. In order to teach reading comprehension skills, both implicit and explicit techniques can be applied; however, it is better if the subjects receive explicit instruction, as this technique may have more positive results.

Various researchers have explored explicit and implicit instructions on such areas as reading, speaking and listening (see, e.g. Jalilifar and Alipour, 2007; Vahid Dastjerdi and Shirzad, 2010; Negahi and Nouri, 2014; Khanbeiki and Abdolmanafi-Rokni, 2015; Khoii et al., 2015; Mostafavi and Vahdany 2016; Rahimi and Riasati, 2017). Although the results of these studies have shown the positive impacts of both explicit and implicit teaching, explicit has more positive impacts. However, the review of the literature shows that explicit and implicit reading comprehension skills have not been investigated in relation to teaching translation and their possible impacts on translation quality.

The purpose of this paper is to investigate the possible relationship between novice vs experienced EFLs teachers’ Big Five personality traits, ambiguity tolerance and risk taking. To this purpose, 30 teachers of TEFL courses were randomly selected, and three instruments of NEO Five-Factor Inventory, Ambiguity Tolerance Scale and Risk-taking Propensity Measure were employed to measure their Big Five personality traits, their ambiguity tolerance and risk taking, respectively.

The study was a quantitative ex post facto study. The first phase of the study was to investigate the relationship among variables of the study. On the other hand, the second phase of the study examined the impact of experience of teachers on their risk taking and ambiguity tolerance.

The results showed that the more experienced the teachers are, the less risk they take and the more ambiguity tolerant they are. On the other hand, the less experienced the teachers are, the more risk they will take and the less they can tolerate ambiguity. The findings of this research can have useful implications for teacher training programs as well as teaching practices.

This study can add to the circle of knowledge and enhance theoretical assumptions of the field. Moreover, considering the Iranian context, a few studies have focused on the importance of uncovering relationship between five big personality traits and teachers’ personality factors. Therefore, this study is an attempt to investigate the relationship between the Big Five personality traits of teachers and their ambiguity tolerance and risk taking.

The purpose of this paper (experimental–comparative research) is to investigate the possible impacts of explicit and implicit teaching Persian structures and editing methods on the translation performance of the Iranian undergraduate translation students.

This research enjoyed a quasi-experimental design. A quasi-experimental research design was used in this research, as it was impossible to assign random sampling to the subjects. In addition, this research was a comparative group study as there were two experimental groups with two different treatments and one control group with placebo. Table I represents the design of the research.

The results showed that before the treatment there were no significant differences between three groups in terms of translation performance; however, after treatment, the results indicated a statistically significant difference between two experimental groups and treatment group. Moreover, explicit instruction yielded more positive results than the implicit group.

Although research in the field of translation assessment and quality in relation to target language are prevalent and in spite of the abundance of research in the field of implicit/explicit instructions in second language teaching and learning, there is no research (to the best knowledge of authors) which looks at translation performance from teaching structures and editing methods of target language perspective with the focus of explicit and implicit (in an English–Persian context).

The purpose of this study is to simulate the climate change impacts on winter wheat production and evaluate the possibilities of using various varieties and shifting planting date as two climate change adaptation strategies in Kerman Province, Iran.

Two types of global circulation model and three scenarios for three periods were used. Daily climatic parameters were generated by LARS-WG (Long Ashton Research Station-Weather Generator). The CERES-wheat model was used to simulate future winter wheat growth, development and production.

The results showed that CO₂ had no effect on the phenology of winter wheat, and the negative impact of temperature on the grain yield was higher than the positive effect of CO₂ enrichment. The length of the reproductive growth period of the winter wheat was significantly shortened as affected by the negative impacts of rise in temperature. The simulated results indicated that the grain yield of common (medium maturing) variety of winter wheat will decline, ranging from −0.27 to −18.71 per cent according to future climate changes. Adaptation strategies showed that the early maturing variety had a higher and more stable grain yield under climate change conditions than medium and delayed maturing varieties. Earlier planting date (20 October) increased wheat grain yield under future climatic conditions than common (November 5) planting date. In reverse, later planting (November 20) would accelerate harmful effects of climate change on wheat grain yield.

The results highlighted the potential of early maturing variety and early planting date as the appropriate agronomical approaches for mitigating harmful impacts of climate change on winter wheat production in arid regions.

This paper aims to examine the integration of lateral transshipment and road vulnerability into the humanitarian relief chain in light of affected area priority to address equitable distribution and assess the impact of various parameters on the total average inflated distance traveled per relief item.

After identifying comprehensive critical criteria and subcriteria, a hybrid multi-criteria decision-making framework was applied to obtain the demand points’ weight and ranking in a real-life earthquake scenario. Direct shipment and lateral transshipment models were then presented and compared. The developed mathematical models are formulated as mixed-integer programming models, considering facility location, inventory prepositioning, road vulnerability and quantity of lateral transshipment.

The study found that the use of prioritization criteria and subcriteria, in conjunction with lateral transshipment and road vulnerability, resulted in a more equitable distribution of relief items by reducing the total average inflated distance traveled per relief item.

To the best of the authors’ knowledge, this study is one of the first research on equity in humanitarian response through prioritization of demand points. It also bridges the gap between two areas that are typically treated separately: multi-criteria decision-making and humanitarian logistics.

This is the first scholarly work in Shiraz focused on the equitable distribution system by prioritization of demand points and assigning relief items to them after the occurrence of a medium-scale earthquake scenario considering lateral transshipment in the upper echelon.

The paper clarifies how to prioritize demand points to promote equity in humanitarian logistics when the authors have faced multiple factors (i.e. location of relief distribution centers, inventory level, distance, lateral transshipment and road vulnerability) simultaneously.

It can be said that the most important function of the health system is to provide health-care services. This directly affects society’s health and justice. To the best of the authors’ knowledge, this study is the first study that has meta-analyzed the percentage of health services utilization among Iranians to answer this question “How much is the percentage of health-care services utilization in Iran?”

This study is a systematic review and meta-analysis conducted in 2020. The literature review was done by searching the databases of Google Scholar, Scopus, PubMed, Web of Science, Science Direct, SID, Magiran and Irandoc from January 2010 to August 2020. Pooled utilization percentage (UP) was estimated by STATA 15 through random-effects meta-analysis with 95% confidence interval. The I² statistic was used to investigate the possibility of heterogeneity of articles (I² ≥ 50% indicate heterogeneity). A forest plot was applied to report the results. A funnel plot exploited due to publication bias assessment.

Approximately 22% of the reviewed articles have been done at the national level of Iran. Most studies have examined the utilization of outpatient and inpatient services. Based on the random effects method, the pooled value of UP was obtained at 47.82%, (95% CI: 39.33–56.31). Also, the pooled percentage of utilization was statistically significant (Test of UP = 0, Z = 456.44, p = 0.000).

Policymakers can improve the level of utilization from health services by expanding universal coverage, expanding insurance coverage and removing direct and indirect barriers.

To the best of the authors’ knowledge, this is the first systematic review and meta-analysis on health services utilization in Iran that completely considers the utilization rate in all health services and states the practical solutions to cope with utilization deficiencies and barriers.

This study aims to investigate the role of social capital in Iranian agricultural students' acquisition of generic skills. For this purpose, the effect of various social capital dimensions on students' generic skills development was examined.

A survey was conducted among 190 third- and fourth-year undergraduate students in one of the colleges of agriculture and natural resources in Iran. The partial least square method was used to examine the relationships among various social capital dimensions (i.e. social values, social trust, social networks, social cohesion, social participation, social communications and information sharing) with students' generic skills.

The findings showed that social networks and social participation are effective factors in the generic skills development of students. A model designed for the development of students' generic skills based on their social capital level predicted up to 33% of generic skills' variances. Furthermore, the multi-group analysis showed that males and females vary on how various social capital dimensions affect their generic skills. In this respect, the social participation dimension had a significantly greater impact on female students' generic skills, whereas the generic skills of male students were influenced more by the social cohesion dimension.

Developing generic skills through social capital can be considered as an effective strategy in countries that do not have formal programs for developing students' generic skills. Additionally, higher education policymakers should present a more supportive approach for developing generic skills of female students through social participation in the campuses.

So far, no study has examined the relationships among various social capital dimensions and students' generic skills in Iran. The picture is even more unclear when it comes to the differences between male and female students. The results of this study confirmed the importance of social networks and social participation in the universities to support students and to improve their generic skills and, consequently, their employability competencies. Furthermore, it could be inferred that male and female students have similarities and also differences in terms of the effect of social capital on developing generic skills that can provide a path for future studies.

The purpose of this study is three-dimensional flow and heat transfer investigation of water/Al₂O₃ nanofluid inside a microchannel with different cross-sections in two-phase mode.

The effect of microchannel walls geometry (trapezoidal, sinusoidal and stepped microchannels) on flow characteristics and also changing circular cross section to trapezoidal cross section in laminar flow at Reynolds numbers of 50, 100, 300 and 600 were investigated. In this study, two-phase water/Al₂O₃ nanofluid is simulated by the mixture model, and the effect of volume fraction of nanoparticles on performance evaluation criterion (PEC) is studied. The accuracy of obtained results was compared with the experimental and numerical results of other similar papers.

Results show that in flow at lower Reynolds numbers, sinusoidal walls create a pressure drop in pure water flow which improves heat transfer to obtain PEC < 1. However, in sinusoidal and stepped microchannel with higher Reynolds numbers, PEC > 1. Results showed that the stepped microchannel had higher pressure drop, better thermal performance and higher PEC than other microchannels.

Review of previous studies showed that existing papers have not compared and investigated nanofluid in a two-phase mode in inhomogeneous circular, stepped and sinusoidal cross and trapezoidal cross-sections by considering the effect of changing channel shape, which is the aim of the present paper.

Wind as a major source of renewable energy has received tremendous attentions due to its unique features to reduce carbon emission and also to keep the environment safe. Nevertheless, to use wind energy properly, the environmental circumstances and geographical location related to wind intensity should be considered as a priority. Different factors may affect the selection of a suitable location for developments of wind power plants; thus, these factors should be considered concurrently to identify the optimum location of wind plants.

In this study, first, basic data envelopment analysis (DEA) was used, then dual DEA was used and, finally, Anderson Petersen (AP) model of dual DEA was selected to prioritize cities or decision-making units (DMUs). Numerical Taxonomy (NT) method was also used to assess the validity of AP dual model in DEA. The prescribed approach was applied for five cities in East Azerbaijan province of Iran.

The results indicate that wind power as a renewable energy can be harnessed in few cities, and the ranking by DEA illustrated that the city of Tabriz is the first priority.

Low environmental degradation effects in comparison to other methods and the ability to utilization at a widespread level include the benefits of using wind energy in the generation of electricity. In this regard, the study of relevant potentials and finding suitable locations for the deployment of wind energy utilization equipment are essential. Using DEA method helps us to choose optimal locations according to different criteria.

Wind energy is justifiable in reducing social costs in comparison with fossil fuel plants, which includes negative effects, and its electricity can be used as a sustainable energy in the country's economic, social and cultural development.

For identifying the most proper location for development of wind power plants in Iran, DEA is applied for the first time to prioritize the suitable locations for installations of wind turbines among five different cities in the East Azerbaijan region. A number of crucial factors including land price, distance to power, rate of natural hazards, wind speed and topography are considered for location optimization of wind turbines for the first time. Also, to validate the results of DEA method, NT method is used to assess the validity of AP dual model in DEA.

Although many studies have been conducted on the nanofluid flow in microtubes, this paper, for the first time, aims to investigate the effects of nanoparticle diameter and concentration on the velocity and temperature fields of turbulent non-Newtonian Carboxymethylcellulose (CMC)/copper oxide (CuO) nanofluid in a three-dimensional microtube. Modeling has been done using low- and high-Reynolds turbulent models. CMC/CuO was modeled using power law non-Newtonian model. The authors obtained interesting results, which can be helpful for engineers and researchers that work on cooling of electronic devices such as LED, VLSI circuits and MEMS, as well as similar devices.

Present numerical simulation was performed with finite volume method. For obtaining higher accuracy in the numerical solving procedure, second-order upwind discretization and SIMPLEC algorithm were used. For all Reynolds numbers and volume fractions, a maximum residual of 10⁻⁶ is considered for saving computer memory usage and the time for the numerical solving procedure.

In constant Reynolds number and by decreasing the diameter of nanoparticles, the convection heat transfer coefficient increases. In Reynolds numbers of 2,500, 4,500 and 6,000, using nanoparticles with the diameter of 25 nm compared with 50 nm causes 0.34 per cent enhancement of convection heat transfer coefficient and Nusselt number. Also, in Reynolds number of 2,500, by increasing the concentration of nanoparticles with the diameter of 25 nm from 0.5 to 1 per cent, the average Nusselt number increases by almost 0.1 per cent. Similarly, In Reynolds numbers of 4,500 and 6,000, the average Nusselt number increases by 1.8 per cent.

The numerical simulation was carried out for three nanoparticle diameters of 25, 50 and 100 nm with three Reynolds numbers of 2,500, 4,500 and 6,000. Constant heat flux is on the channel, and the inlet fluid becomes heated and exists from it.

The authors obtained interesting results, which can be helpful for engineers and researchers that work on cooling of electronic devices such as LED, VLSI circuits and MEMS, as well as similar devices.

This manuscript is an original work, has not been published and is not under consideration for publication elsewhere. About the competing interests, the authors declare that they have no competing interests.