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The house not only provides shelter and security but also is a reflection of human privacy. One of the important factors involved in house design is privacy. The current research is a case study that examines privacy's evolution in contemporary houses in Kerman using space syntax techniques.

This study is based on the quantitative approach of space syntax. A total number of 15 houses in Kerman built in three periods of Qajar, Pahlavi and the Islamic Republic, were examined for the space syntax indices using UCL DepthMap. The DepthMap outputs were also analyzed using one-way ANOVA.

The findings indicated that the arrangement of spaces in houses has altered over time from the 1920s onwards. There is a significant difference between houses of the Qajar, Pahlavi and the Islamic Republic eras, indicating a reduction in the hierarchy of access and reduced privacy in houses in the Islamic Republic.

Numerous factors affect privacy (e.g. confidentiality, interface spaces, quality of openings and visibility). Nevertheless, this study focused on the impact of spatial configuration on privacy. It can be stated that the design of houses from the Pahlavi period was gradually associated with changes in culture and modern architecture, leading to a decrease in privacy.

This study used space syntax to examine the evolution of privacy in contemporary Iranian houses. Since privacy is a substantial issue in the middle east communities, the findings can help designers and relevant organizations consider privacy as much as other comfort factors in the early stages of design.

Regarding the renewable energies, the cost of producing electricity and the remaining reserves from fossil fuels in Iran is compared with the same in other countries. Several advantages of renewable energies are studied in the present research with emphasis on solar energy; the Lut desert in Iran is introduced as a high potential for supplying the country’s energy. Various effects of such generation of energy on economy, environment, and public health are also studied.

The aim of this paper is to apply a watery infrared filter for silicon solar cell efficiency enhancement in Kerman province of Iran as a talent region for solar energy production.

With this research, the water is applied as a filter for silicon solar cells in different volumes and thicknesses.

The obtained results showed that using various amounts of water could be a suitable choice for increasing the efficiency of silicon solar cells.

Other wavelength regions just cause the increase in the entropy and decrease in the efficiency. With this research, the water is applied as a filter for silicon solar cell in different volumes and thickness. The obtained results showed that using different thicknesses of water could be suitable choice for increasing the efficiency of silicon solar cell.

This paper aims to study the Lut desert, also known as the Dasht–e–Lut, starting with a summary of its location as a large salt desert in southeastern Kerman, Iran, as well as its climate, being one of the world’s driest places. Next, a statistical analysis is performed based on a reasonable minimum level of 10 per cent. The computation of electric energy produced by sunlight in the studied region is, then, provided using a number of high-efficiency and suitable solar cells. Finally, the authors will compare the production of electrical energy to the consumption energy in Iran and Kerman province.

According to calculations of the present study and the analyses of the tables and charts provided, the use of solar energy and the amount of energy used in different areas was discussed. Lut desert in Iran is one of the touristic attractions of Kerman province: while only a very small area of this desert known as the Kalut is of interest to tourists, the vast remaining area of this desert is currently left without use. Lut and its surrounding towns and villages are not suitable for agricultural due to the lack of water in the region, and relatively poor people live within the area. The findings of this study showed that throughout the region, there is a very high potential for energy supply of Kerman and Iran.

The practical use of Lut desert potential in the production of electric energy from solar energy, besides its significant role in cost reductions, can also positively affect the living standards of local residents as well as job and income creation for the country. Efficient use of only 10 per cent of the area of Lut desert, via using its solar energy, can produce a considerable amount of energy for the region and for the country in large. Although the present study only investigated the solar energy of the region, it also has a high potential in wind energy and geothermal optimum use. The research team will, hence, continue its work on calculating the amount of energy generated from all types of renewable energy in this area. This paper showed that application of solar cells in this region is appropriate for providing a magnificent amount of electric-energy requirements of Kerman province and of Iran.

In recent years, Iran’s nuclear, oil and natural-gas industries have been the subject of intensifying sanctions from certain international communities. Now, the country wants to develop a sector in which it has more leeway, i.e. the renewable energy; wind and solar energies are always available, and no one can put sanctions on them. Also, to provide household electricity in remote areas (which are not connected to the mains electricity grid), energy storage is required for use of renewable energy. Usually, however, renewable energy is derived from the main electricity grid, and this means that as the mains electricity grid is organized so as to produce the exact amount of energy being consumed at that particular moment, the energy storage is mostly not applied. Energy production on the mains electricity grid is always set up as a combination of renewable-energy plants, as well as other power plants (e.g. the fossil-fuel power plants and nuclear power). This combination, nevertheless, is essential for this type of energy supply (i.e. the wind turbines, solar power plants, etc).

This study aims to assess and decompose the sustainable development using the 17 sustainable development goals (SDGs) in Iran in 2018, for proposing agenda-setting of public policy.

It ranks the SDGs not only in Iran but also in the region and the world to reveal the synergetic effects.

Based on the results, subaltern-populace generally suffers from the hegemonic domination of ruling elite-bourgeois, lack of strong institutions, heterogeneous policy networks and lack of advocacy role of non-governmental organizations, due to no transparency, issues in law or no rule of law, no stringent regulation, rent, suppression and Mafia, all leading to corruption and injustice.

To stop the loop of corruption-injustice, Iran should homogenize the structure of the policy network. Furthermore, the failed SDGs of the three-geographic analysis are the same in a character; all of them propose SDG 3, good health and well-being as a serious failed goal.

In this regard, strong evidence is the pandemic Coronavirus, COVID 19 since 2019, due to its highly-disastrous consequences in early 2020 where the public policymakers could not adopt policies promptly in the glob, particularly in Iran.

In Iran, in addition to this, the malfunction of health is rooted in “subjective well-being” and “traffic deaths,” respectively. Concerning the transportations system in Iran, it is underscored that it is damaging the sustainable development from all the three pillars of sustainable development including, economic, social and environmental.

This paper addresses a location-routing problem (LRP) under uncertainty for providing emergency medical services (EMS) during disasters, which is formulated using a robust optimization (RO) approach. The objectives consist of minimizing relief time and the total cost including location costs and the cost of route coverage by the vehicles (ambulances and helicopters).

A shuffled frog leaping algorithm (SFLA) is developed to solve the problem and the performance is assessed using both the ε-constraint method and NSGA-II algorithm. For a more accurate validation of the proposed algorithm, the four indicators of dispersion measure (DM), mean ideal distance (MID), space measure (SM), and the number of Pareto solutions (NPS) are used.

The results obtained indicate the efficiency of the proposed algorithm within a proper computation time compared to the CPLEX solver as an exact method.

In this study, the planning horizon is not considered in the model which can affect the value of parameters such as demand. Moreover, the uncertain nature of the other parameters such as traveling time is not incorporated into the model.

The outcomes of this research are helpful for decision-makers for the planning and management of casualty transportation under uncertain environment. The proposed algorithm can obtain acceptable solutions for real-world cases.

A novel robust mixed-integer linear programming (MILP) model is proposed to formulate the problem as a LRP. To solve the problem, two efficient metaheuristic algorithms were developed to determine the optimal values of objectives and decision variables.

Dietary intake is a modifiable risk factor for metabolic syndrome (MetS). Therefore, this study aims to evaluate the association between the Healthy Eating Index-2015 (HEI-2015) and MetS.

MetS was diagnosed among 2,326 adults. Dietary intake was assessed by a validated food frequency questionnaire. The HEI-2015 was administered to assess the diet qualities. Multivariate logistic regression was also used to evaluate the relationship of HEI-2015 with MetS and its components.

The odds of MetS was lower in women who were in the third quintile of HEI-2015 compared with those in the first quintile after adjusting for age and energy intake (OR: 0.62, CI: 0.41 to 0.93). In addition, moderate adherence to HEI-2015 reduced the odds of high fasting blood glucose levels in both men and women (OR men: 0.30, CI: 0.11 to 0.85 OR women: 0.34, CI: 0.14 to 0.79). However, these relations were not linear. Adherence to HEI-2015 had no significant relationship with the prevalence of MetS and its components in the whole population.

A significant relationship was observed between moderate adherence to HEI-2015 and fasting blood glucose in both men and women. Moreover, moderate adherence to this dietary pattern decreased the prevalence of MetS in women.

The purpose of this study paper is to identify and prioritize the factors affecting the knowledge flow in high-tech industries.

This research is applied in terms of purpose and descriptive-survey in terms of data collection method. This research has been done in a qualitative–quantitative method. In the qualitative part, due to the nature of the data in this study, expert interviews have been used. The sample studied in this research includes 35 managers and expert professors with experience in the field of knowledge management working in universities and high-tech industries who have been selected by the method of snowball. In the quantitative part, the questionnaire tool and DANP multivariate decision-making method have been used.

In this study, a multicriteria decision-making technique using a combination of DEMATEL and ANP (DANP) was used to identify and prioritize the factors affecting the knowledge flow in high-tech industries. In this study, the factors affecting the knowledge flow, including 8 main factors and 31 subfactors, were selected. Human resources, organizational structure, organizational culture, knowledge communication, knowledge management tools, knowledge characteristics, laws, policies and regulations and financial resources were effective in improving knowledge flow, respectively.

By studying the research, it was found that the study area is limited, and the previous work has remained at the level of documentation and little practical use has been done. In previous research, the discussion of knowledge flow has not been very open, and doing incomplete work causes limited experiences and increases cost and time wastage, and parallel work may also occur. Therefore, to complete the knowledge management circle and fully achieve the research objectives, as well as to make available and transfer the experiences of people working in this field and also to save time and reduce costs, the contents and factors of previous models have been counted. It is designed for high-tech industries, a model for the flow of knowledge.

While several studies have reported a relationship between chronic daily headache (CDH) and different dietary patterns, no study has investigated the association between CDH and the dietary inflammatory index (DII). This study aims to hypothesize that a higher DII score (proinflammatory diets) is associated with higher odds of CDH.

This cross-sectional study was performed using the baseline data of the Dena PERSIAN cohort study, including demographic information, body mass index, medical history, laboratory tests, sleep duration and blood pressure. The DII was computed based on the data collected by a valid 113-item food frequency questionnaire and a 127-item indigenous food questionnaire. The association between CDH and DII score was analyzed by simple and multiple logistic regression.

Out of 3,626 people included in the study, 23.1% had CDH. The median DII was −0.08 (interquartile range = 0.18). People in the third and fourth quartiles of DII (proinflammatory diet) had a 20% (odds ratio: 0.80; 95% confidence interval: 0.65–1) and a 25% (odds ratio: 0.75; 95% confidence interval: 0.61–0.94) lower chance of having CHD than those in the first quartile, respectively. After adjustment for confounding variables, this association did not remain statistically significant (p > 0.05).

Although the analysis conducted without adjustment for medical history showed a significant association between proinflammatory diet and reduced CDH, considering the diverse etiology of different types of headaches and the paucity of studies in this area, further studies are needed to investigate the DII score of patients by the type of headache, its severity and duration.

Understanding consumers’ food safety practices are helpful in reducing foodborne illnesses. The purpose of this study is to evaluate the influence of education on knowledge, attitude and practices toward food additives.

This interventional study was performed by random sampling of 826 employees in Isfahan University of Medical Sciences from January 2018 to March 2019. The knowledge, attitude and practices of the employees toward food additives were assessed by a self-administered and structured questionnaire. Two-month education was conducted visually by using pamphlets, posters and leaflets. Descriptive statistics and paired t-test were done by SPSS24 at significant levels of p < 0.05.

The results showed that the respondents were very concerned about preservatives, colorants, and artificial sweeteners in foods. Before the education, the percentages collected for the knowledge, attitude and practice were 79.0, 48.9 and 46.7, respectively. Overall, knowledge scores were improved from 79.0 to 88.9 per cent when the education was offered. Safety attitude scores significantly increased, with a 50 per cent difference between the pre and post values. A significant difference was observed in the percentage of knowledge, attitude and practice of the employers before and after education (p < 0.05). Almost half of the respondents chose leaflets and pamphlets as a preferable tool for learning.

Education may be needed for improving knowledge and attitude about food additives. It also helped the respondents to select healthier food. This study suggests more communication programs regarding food safety issues.