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Considering the diversity of literary sites, various needs and motivations of literary visitors, and the limited research on literary tourists’ experiences, this study aims to explore the literary gaze at Hafez Tomb in Shiraz, Iran. As the visitor gaze encompasses various dimensions of experience, this study connected the two notions to identify the components of the literary gaze and determine the attributes that best describe it.

Data sources include semi-structured interviews with visitors and user-generated content on Tripadvisor. The deductive thematic analysis and multiple correspondence analysis were used.

The findings revealed the multidimensionality of the literary gaze. The dominant factors that best describe the literary gaze at Hafez’s tomb were the sensory component of the experience, including “seeing”, “smelling”, “hearing”; affective including “anticipation”, “joy”, “trust”; cognitive including “perceiving”, “thinking”, “learning”; behavioural including “literary related”, “general”; and relationship including “tourist-companion”, “tourist-tourist”.

Understanding the literary gaze can assist site managers and destination marketers in designing the literary experience and developing promotional strategies that reflect the multifaceted nature of the literary experience. Tourism authorities should identify and shape tourists’ perceptions of literary sites to build the city’s image and brand as a literary city.

This paper used the orchestra model of experience to analyse the literary tourist’s gaze. This modification could explain that the literary gaze has multiple dimensions and studying all the dimensions gives the literary experience greater significance.

AlSi10Mg alloy is commonly used in laser powder bed fusion due to its printability, relatively high thermal conductivity, low density and good mechanical properties. However, the thermal conductivity of as-built materials as a function of processing (energy density, laser power, laser scanning speed, support structure) and build orientation, are not well explored in the literature. This study aims to elucidate the relationship between processing, microstructure, and thermal conductivity.

The thermal conductivity of laser powder bed fusion (L-PBF) AlSi10Mg samples are investigated by the flash diffusivity and frequency domain thermoreflectance (FDTR) techniques. Thermal conductivities are linked to the microstructure of L-PBF AlSi10Mg, which changes with processing conditions. The through-plane exceeded the in-plane thermal conductivity for all energy densities. A co-located thermal conductivity map by frequency domain thermoreflectance (FDTR) and crystallographic grain orientation map by electron backscattered diffraction (EBSD) was used to investigate the effect of microstructure on thermal conductivity.

The highest through-plane thermal conductivity (136 ± 2 W/m-K) was achieved at 59 J/mm³ and exceeded the values reported previously. The in-plane thermal conductivity peaked at 117 ± 2 W/m-K at 50 J/mm³. The trend of thermal conductivity reducing with energy density at similar porosity was primarily due to the reduced grain size producing more Al-Si interfaces that pose thermal resistance. At these interfaces, thermal energy must convert from electrons in the aluminum to phonons in the silicon. The co-located thermal conductivity and crystallographic grain orientation maps confirmed that larger colonies of columnar grains have higher thermal conductivity compared to smaller columnar grains.

The thermal properties of AlSi10Mg are crucial to heat transfer applications including additively manufactured heatsinks, cold plates, vapor chambers, heat pipes, enclosures and heat exchangers. Additionally, thermal-based nondestructive testing methods require these properties for applications such as defect detection and simulation of L-PBF processes. Industrial standards for L-PBF processes and components can use the data for thermal applications.

To the best of the authors’ knowledge, this paper is the first to make coupled thermal conductivity maps that were matched to microstructure for L-PBF AlSi10Mg aluminum alloy. This was achieved by a unique in-house thermal conductivity mapping setup and relating the data to local SEM EBSD maps. This provides the first conclusive proof that larger grain sizes can achieve higher thermal conductivity for this processing method and material system. This study also shows that control of the solidification can result in higher thermal conductivity. It was also the first to find that the build substrate (with or without support) has a large effect on thermal conductivity.

This paper aims to investigate whether the interaction between vitamin D receptor (VDR) FokI polymorphism and dietary patterns is associated with metabolic syndrome (MetS) and its components.

In total, 304 Iranians were enrolled in this cross-sectional study. Dietary patterns were identified using factor analysis. Fasting serum glucose and lipid profile were also assessed. FokI polymorphism of the VDR gene was genotyped using the restriction fragment length polymorphism method.

Individuals in third tertile of “Unhealthy Patterns had greater odds for MetS (odds ratio: 2.9; 95 per cent CI: 1.3, 6.1; P for trend = 0.03) compared to those in first tertile. Significant results disappeared after controlling for covariates (p = 0.09). There was no significant relationship between adherence to ‘Healthy Pattern’ and odds of MetS (p = 0.55). There were not any interactions between FokI polymorphism and major dietary patterns associated with MetS.

No evidence found for the interaction between polymorphism FokI and major dietary patterns associated with MetS and its components in Iranian subjects. Genome-wide association techniques are needed to assess the direct effect of this polymorphism on MetS.

This paper aims to propose a new method for evaluating the success of the recommender systems based on customer history, product classification and prices criteria in the electronic commerce. To evaluate the validity of the model, the structural equation modeling technique is employed.

A method has been suggested to evaluate the impact of customer history, product classification and prices on the success of the recommender systems in electronic commerce. After that, the authors investigated the relationship between these factors. To achieve this goal, the structural equation modeling technique was used for statistical conclusion validity. The results of gathered data from employees of a company in Iran is indicated the impact of the customer history on the success of recommender systems in e-commerce which is related with the user profile, expert opinion, neighbors, loyalty and clickstream. These factors positively influence the success of recommender systems in ecommerce.

The obtained results demonstrated the efficiency and effectiveness of the proposed model in term of the success of the recommender systems in the electronic commerce.

In this paper, the effective factors of success of recommender systems in electronic commerce are pointed out and the approach to increase the efficiency of this system is applied into a practical example.

This study aims to identify the main factors affecting export competitiveness and its barriers, focusing on the minerals industry so that a scale is achieved for measuring export competitiveness in this industry.

The research was conducted with a mixed method approach in the minerals industry. Among the active companies involved in this industry, 34 export companies and export management companies were selected and evaluated. In the qualitative phase, 18 experts and managers of the industry were interviewed to identify the factors affecting the export competitiveness of these companies and the barriers ahead of them. In the quantitative phase, a questionnaire was distributed among 412 managers and experts in this industry to categorize the identified factors and to measure the relationships among them. For data analysis in the qualitative phase, theme analysis was used. For the quantitative phase, factor analysis and structural equation modeling were adopted.

In addition to identifying the main components affecting the competitiveness of companies in exporting minerals as well as the main barriers ahead of them, the findings of the current research categorized these components using factor analysis. These components were categorized into factors, such as manufacturing factors, demand conditions, related and supporting industries, structural factors, competitive strategy and governmental supports. Afterward, their impacts on export competitiveness were measured and supported.

Although some studies have been conducted to examine the competitiveness in different industries, no research has been found that has examined and identified the main factors affecting export competitiveness and their impacts in the minerals industry with a mixed quantitative and qualitative approach. The findings of this research may help managers and policymakers, at the industrial and national levels, to reach a scale for assessing the export companies involved in this industry by identifying the most essential factors of export competitiveness of minerals. Furthermore, the findings of this research can act as a model for future researchers to develop a scale for export competitiveness in other industries.

Examining the impact of socioeconomic status (SES) and expenses spent on food preparation on nutritional intake has always been one of the critical concerns for policymakers. This study aims to investigate the association between household food expenditure as well as SES and dietary nutrient intake in Kermanshah, Iran.

In this cross-sectional study, households were randomly selected from different strict in Kermanshah, Iran. Data were collected with an SES questionnaire, a demographic data collection form, a weekly food purchase checklist and a food record. The authors performed the analysis of covariance to determine the relationship of dietary nutrient intake of study participants across quintile categories of SES and total food expenses per day.

Out of 125 households, 119 households including 401 people finished the study. A significant association was observed between higher SES and higher intake of vitamin B2 (p-value = 0.03). Moreover, the household members at the top level of total food expenses per day had significantly greater dietary nutrient intake of energy (p < 0.001), potassium (p < 0.001), magnesium (p < 0.001), calcium (p < 0.001), zinc (p < 0.001), vitamin B2 (p < 0.001), B6 (p < 0.001), B12 (p = 0.002) and vitamin C (p = 0.04).

In our study, higher dietary nutrient intake was observed in the household members at the highest level of total food expenses daily as well as SES. Therefore, governments and policymakers should pay basic attention to optimizing food costs and improving the economic status of people.

This paper aims to evaluate the association between carbohydrate quality index (CQI) and nutrient adequacy in Iranian adults.

A total of 268 men and women with ages ranged from 18 to 70 years were evaluated in a cross-sectional study. The CQI was calculated by adding together the three components, namely, the ratio of solid to total carbohydrate, dietary fiber and glycemic index. The scores of three components were summed to calculate the CQI, with a higher score indicating a higher dietary carbohydrate quality. The odds ratios (ORs) of nutrient adequacy ratio (NAR), defined as the ratio of intake of a nutrient to the age- and gender-specific recommended dietary allowance, for the intake of energy and 10 nutrients across quartiles of the CQI were calculated by logistic regression analysis and expressed with 95% confidence intervals (CIs).

CQI ranged between 3 to 15 (mean ± SD: 9 ± 1.9). Being in top versus bottom quartile of the CQI was associated with a higher NAR of folic acid (OR: 3.20, 95% CI: 1.06–9.62; P-trend: <0.001), vitamin A (OR: 3.66; 95% CI: 1.46–9.17; P-trend: <0.001), magnesium (OR: 5.94; 95% CI; 1.71–20.53; P-trend: <0.001), vitamin C (OR: 7.85; 95% CI; 2.99–20.59; P-trend: <0.001).

A higher CQI was associated with greater micronutrient consumption adequacy in Iranian adults. The results suggest that increasing the consumption of total fiber and solid carbohydrates and decreasing the glycemic index of the diet and liquid carbohydrates can improve micronutrient intake adequacy.

During the Coronavirus Disease 2019 (COVID-19) pandemic, some changes in dietary intake were observed. However, the determinants of food choice and adherence to the Mediterranean diet (MD) in this period were not studied so far for Iranian adults. This study aimed to assess the food choice determinants changes and Adherence to the MD of Iranian adults.

This study was a cross-sectional study that was conducted from April 2019 to May 2020, based on the snowball sampling, and a total number of 2,540 adults from all the regions of Iran participated. The Food Choice Questionnaire was used to analyze food choice determinants, and the validated ten-item MD adherence screener was used to assess the adherence to the MD.

Before the COVID-19 quarantine, sensory appeal and price were the most important factors in Iranian food choice (with the highest scores), but during the COVID-19 pandemic the important food choice determinants were health and weight control. Consumption of vegetables (71.85% vs 40.07%), fruits (60.70% vs 38.74%), legumes (24.72% vs 12.38%) and nuts (14.33%) increased significantly after the outbreak of quarantine.

The purpose of this study is to explore the association between intake of different types of dietary fats with breast cancer (BC) risk in Iranian women.

A total of 540 women (180 women with BC and 360 healthy women) were recruited from Shohadaye Tajrish hospital, Tehran, Iran. Data on anthropometric measurements, physical activity, smoking and alcohol consumption were collected. The food frequency questionnaire was used to assess the intake of fatty acids including saturated fatty acids, mono unsaturated fatty acids, poly unsaturated fatty acids, macronutrients, total fat, cholesterol, and calorie.

The cases had significantly higher BMI (29.19 ± 3.2 vs 27.27 kg/m2 ± 2.8) and higher intake of calorie (2737 ± 925 vs 2315 ± 1066 kcal/d, P = 0.01), carbohydrate (402 ± 125 vs 312 ± 170 kcal/d, P = 0.01) and ω−6 fatty acids (5.45 ± 6.9 vs 3.39 ± 0.59 g/d, P = 0.001) compared to the control group . Higher consumption of ω−6 fatty acids was related with higher risk of BC (OR = 5.429, CI95%:2.5–11.79, P = 0.001) The association between BC and intake of omega-6 fatty acids remained significant after adjustments for age, BMI, for using alcohol drinks, smoking, physical activity, calorie intake, protein intake and carbohydrate intake.

There are insufficient studies to investigate the association of different types of fatty acids with BC. This study found that higher omega-6 fatty acids intake was associated with increased risk of BC in women.

Using the PRECEDE model, the purpose of this paper is to determine the predictors of mothers’ performance in daily consumption of fruit and vegetables (FV) in rural preschoolers.

This study was carried out on 350 mothers of preschool children who had health records in the rural health-care centers of Iran. To collect data, a researcher-made questionnaire based on the PRECEDE model was used. The data were analyzed using the SPSS 19 software.

The results showed that 11.42 percent of the mothers observed the FV intake for their children recommended by WHO. The independent t-test showed a significant difference between the mean scores of predisposing, enabling and reinforcing factors.

This study showed that the rate of FV intake by preschool children in rural areas was much lower than the recommended WHO rate. To promote behavior, attention to the predisposing, enabling and reinforcing factors seems to be necessary.