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Abstract
Aims: For the purpose of marketability and consumer preferences, two types of hand moisturizing products (Alginate gel and Fucoidan cream) produced from Sargassum algae, this study was conducted. then evaluated with a common commercial sample as a control.
Methods: Gel and two cream samples were prepared in 3 jars of 10 g to evaluate 30 individuals as panel members. Evaluation was performed using one product per week and with a one-week break between sessions. The designed questionnaire consisted of sociological questions and 12 characteristics of the products that were rated with 3 points of preference The Friedman test was used to analyze the ratings and the scoring method was used to identify the final product.
Results: Two characteristics of produced cream and gel (moisturizing and shelf life) at a significant level. The gel had the highest moisturizing capacity and the cream had the highest shelf life. Consumers paid more attention to the nourishing and hydrating properties of the skin, being organic and soft in choosing the suitable moisturizer for their hands. They like moisturizing cream of 250 gr jar. Nutrition and hydrating, therapeutic effect and skin repair were also ranked as high priority. Ultimately, the Fucoidan moisturizing cream gained the highest preference in market.
Conclusion: The Fucoidan cream produced from Sargassum algae compared to alginate gel from this alga, as a moisturizer with suitable shelf-life and have other hand cream properties, can be an acceptable commercial product in the market.
 

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Economic development is one of the major policies of a country which is concerned to industry and technology on one hand and leads to environmental pollution on the other hand. The experiences of developed countries show that economic development with emphasis on the industry sector, without any attention to environment, can create serious problem against sustainable development. Industrialization has caused increasing energy consumption and therefore air pollution. It's so important to consider the relationship between industrial activities and industrial pollution in developing countries, because industry sector has a basic role in development process of these countries. Therefore the aim of this study is examining and qualifying of linkage between industrial activity and air pollution, using an industry-level dataset of IRAN manufacturing industries during the period 1995-2007. The result of study shows that air pollution is a positive function of energy consumption, industrial activity and physical capital intensity and also is a negative function of labor productivity, fuel price and human skill intensity.

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For this purpose, field study and data recording in two parts, and different environmental situation in one micro climate.
Material and method: crowded places were studied to 18 days from the first day of shahrivar to 18th of shahrivar; two categories were created: the first Baghe fin open spaces and the second historical textures open spaces. After finishing library studies, physical presence in the texture and conducting field study (observation, and data collection of site) simultaneously the responses of 788 of inhabitants and tourists to the questionnaires  (environmental and thermal situations), climate parameters (temperature, air flow speed, moisture, co, co₂) were recorded. Then the dress rate and the metabolism of people was computed with delta log10 software, and after collecting and analyzing the data with spss24 software, thermal comfort of respondents based on UTCI was determined by Ray Man software.
Findings: The finding shows that the respondents in the whole surrounding of the study experienced thermal comfort between 20,23 and 35,61 centigrade degree. Also thermal comfort scope in Baghe fin between 19,45 to 37,63 and in historical texture between 18,5 to 35,16 centigrade.
Conclusion:  The results of this study showed that the scope of thermal comfort in Baghe fin is higher the that of Kashan historical texture about 1,52 centigrade.

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To meet excellency and to do continuous improvement are among the main challenges for modern organizations to live in competitive market. Excellency models help organizations to satisfy essential needs of society and customers in the best possible way. To compare themselves with their competitors, organizations need to have well organized and reliable procedure in hand to make decisions based on this comparison. In this paper, first, the Excellency models were stndied and then auto maker companies were ranked on Excellency level using PROMRTHEE method. The main goals of this paper were: recognition of the Excellency level of auto maker companies, ranking them using PROMETHEE method and finally introducing this method as one of the powerful multi attribute decision making methods for future applications.

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In this article, after defining a conceptional framework for defining and measuring shadow economy in Iran a close attention is also paid to a more precise definition of shadow economy itself. It is also tried to estimate it's changing process and size during 1975-2007 based on the new definition. Direct and indirect approaches are also briefly discussed to estimate the shadow economy. Then, the strengths and weaknesses of each method are pointed out. So far, almost all of the researches carried out in Iran regarding estimation of shadow economy have mainly focused on structural equation modeling approach using Lisrel. Here in this paper for the first time both structural equation modeling software programs of Amos Graphics and Lisrel are applied to estimate the shadow economy in Iran. A comparison of the process and output of both software packages is also done in this research. Finally, in addition to investigating the direct effects of the causal variables, the interactional effects of them on latent variable of the shadow economy are also analyzed.

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Shadow economy is an important part of economy in almost all countries especially the developing ones. Most of active firms in this part of economy have negative externality on the environment. Considering the importance of sustainable development and growing international pressures to maintain and support the environment more and more attentions have been drawn to the factors affecting and threatening environmental health. The present paper for the first time considers the role of variables like polity index and active population to total population ratio and how they affect the shadow economy. In addition to the main direct effects of these variables on shadow economy the indirect effects of causal variables through interaction with shadow economy are also examined. Since the relationship between shadow economy and air pollution has been somehow disregarded in economic literature to a large extent in Iran and to some extent at international level the present paper for the first time focuses on the relationship between shadow economy and air pollution. The results indicate that on average the ratio of shadow economy to GDP is 12.25% and a 1% increase in the size of the shadow economy raises the water pollution by 0.17%.

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Ramsey model is one of the most important basic models to study intertemporal resource allocation. This model is derived from microeconomic optimal principle so it has a key role in macroeconomics with micro foundations. Hence, in many economic researches it is considered as a reference theory. Application of this model in economy of Iran will provide an appropriate theorem framework for explaining empirical facts of the Iranian economy and will introduce a new approach to researchers. The main idea of this study is generalizing Ramsey model through including terms of trade and its calibration in the economy of Iran. For this purpose first, the model is explained. Then, the first order condition is derived and mathematical optimal path of variables is solved.  Finally, the model is calibrated by GAMS package for economy of Iran in time period (2006-2036). The results indicate that there is a feasible solution for model and the optimal path of variables can be observed. The optimal path of Gross National Production and Consumption are increasing but the optimal path of capital stock and investment is primarily increasing then decreasing. In the final section of this paper a sensitivity analysis is presented. Some scenarios are designed for the important parameters of model like time preferences rate, intertemporal substitution elasticity of consumption, labour growth rate and output elasticity of capital. Sensitivity analysis shows that output elasticity of capital and labour growth rate increased the social welfare and shifted optimal path of variables upward. But time preferences rate and intertemporal substitution elasticity of consumption had inverse effect on social welfare and optimal path of variables.

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Tourism plays a growing role in developing countries and is considered as a way of government deficit reduction, gaining foreign exchange and creating jobs. In addition, it is viewed as a channel of getting away from single product economies. In fact, tourism is an industry with multi-dimensional impacts on different sectors of economy. Therefore, it can also be viewed as an important development factor in Isfahan province. In this study, the impacts of international tourist expenditures on income generation, allocation, distribution, consumption and savings in different economic sectors of Isfahan province has been analyzed using Social Account Matrix (SAM) technique, supported by input-output matrix. The results show that financial sector has a very poor performance in this regard in terms of generating revenues coming from international tourists. Although the government sector has the highest share regarding the initial allocation of income, but due to the transactions happening among structural sectors, households have been the main gainers of this income generation. In fact, almost 84% of the generated revenues in this way have been consumed.

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Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease and the prevalence of it has increased worldwide. PD causes severe damage to loss of midbrain dopaminergic neurons (DN) at substantia nigra which involves in the movement control. The synaptic terminals of DNs are destroyed in the posterior putamen. PD is also characterized by accumulation of misfolded and amyloid α-synuclein into proteinous inclusions named Lewy bodies. So far there is no effective treatment for PD and approved medications for PD can only slow down clinical progression, control motor and non-motor symptoms. Currently, the approved medications just induce the release of dopamine and prevent the release of acetylcholine from nerve terminals of caudate cholinergic interneurons and it is necessary to provide more effective treatment methods in the early stages of the disease. Significant progress has been achieved in development of drugs that can reduce neuronal cell death and lead up to neuroprotection, however targeting delivery of drugs to improve the pharmaceutical effects of drugs is remained as a challenge. Therefore, there is a pressing demand to find practical strategies for delivering these pharmaceuticals in vivo through the BBB without disrupting the brain's functions. In this regard, Focused ultrasound (FUS) technology eliminates the need for brain surgery and temporarily opens the blood-brain barrier to allow drugs to pass through. In this review, the application of FUS as a new drug delivery application in the PD models and the potential clinical application of neuroprotective agents are provided briefly.
 

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The purpose of this study is to investigate the performance of budget designers in forecasting government revenues in the Iranian economy. For this purpose, three methods, including analysis with statistical indicators, equation of error component separation, and macroeconomic regression model have been used in order to analyze the prediction errors in tax, oil and gas revenues, and income from property and sale of public goods and services during 1973-2011. The results show that forecasts of all government revenues by budget designers were optimistic (over-estimated), on average, and the highest forecasting errors belonged to revenues from government ownership. The results of the second method show that the forecasting errors in four kinds of government revenues have been mainly nonsystematic and influenced by exogenous shocks and factors.  Furthermore, the results of the third method, in which the factors affecting prediction of government revenue were evaluated using the seemingly unrelated regression equations (SURE), show that the non-oil GDP and the exchange rate had significant effects on the forecast of all government revenues. However, inflation and unemployment rates were effective only in predicting tax revenue and income from the sale of goods and services.  

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Underground economy is considered as an important economic component among the world countries, and in particular developing countries. It creates a serious consequence in the economy and could lead to a deviation from the correct diagnosis of economy status and as a result prescription of the mistaken policies. Therefore, identifying the size of underground economy and using corrective measures to reduce and control it is the main concern of policymakers. Financial development is among factors affecting the performance of underground economy. It reduces the cost of credit and decreases the incentives of agents in the underground sector. This study aims to investigate how to financial development affect underground sector. To this end, it uses structural equation modeling and multiple indicators – multiple causes (MIMIC) approach. The results suggest that the average ratio of the underground economy to GDP is equal to 20.68% during 1973-2012. For one unit increase in financial development, on average, the size of the underground economy decreases by 0.05 percent.

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Geological and site investigations in the world indicates that there are too many fields with soft soil. The existence of such soils in construction sites of buildings may create numerous problems for the foundations, for example the circumstances of roads, foundations and etc. Symmetrical and unsymmetrical settlement of foundations in soft soil areas may destroy even best constructions.
Three dimensional geosynthetics could significantly improve the performance of soil and reduce the costs compared with conventional methods. In this article the behavior of this system has been investigated under vertical load in granular soil for the gap between the applications and the design theories of reinforced base with geocell. Although the geocll system behavior and the effects of adjacent cells on central cell is one of the cases that has not been studied sufficiently.
In this article, the results of the plate loading tests on geocell reinforced sand bases have been studied, and the behavior of three dimensional cellular unit and the effects of adjacent cells have been considered as well. The effective parameters include the diameter and the number of cells. The test sample was a wooden box with 90 cm length and width and 60 cm height filled with poorly graded granular sand. In this study, geocells have been created by sewing the non-woven geotextile in a symmetrical pattern and dimension, and cells diameter were 12, 15, 17.5 and 22.5 cm. The strain gages were attached in order to eliminate measurement errors. The loading processes were carried out by a steel loading plate with 15 cm diameter.
In this investigation besides the considering the geocell behavior, the optional design parameter of this system has been considered with the purpose of decreasing the settlement. Also, the non-woven geotextiles has been sewed in a symmetrical arranged pattern and the behavior of one-cell and multi-cell geocell has been compared. In order to evaluate the failure mechanism of geocell, the novel method of strain gage installation in nonwoven geotextile has been used.
The results include the bearing capacity, the soil surface and cells deformations under a vertical loading. The results indicate that the cells which have a diameter equal to the loading plate have better performance than the others. Also it has been clarified that the existence of adjacent cells with the diameter of 0.8 times the diameter of loading plate, are more suitable for eliminating the settlement. It is also observed that the cells which are smaller than the loading plate, encountered more deformation than the bigger ones.
Also it has been proved that one-cell geocell with the diameter equal to the diameter of loading plate, improve the bearing capacity and base stiffness more than one- cell and nine-cell with diameter equal to 0.8 and 1.7 times of the loading plate diameter. It can be concluded that if the loading position was fixed, one-cell geocell wih diameter equal to foundation diameter is recommended. For moving loads (car load on road), geocell with diameter less than diameter of loading plate should be used.

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Currently, a large number of products are being sold with warranty policies and product warranty has started playing an important role in today’s fiercely competitive products market. In this study, a model for determining the optimal price of PRW with fixed period presented. In designing this model, the rate of rectification costs in the product warranty period is affected by inflation rate, and customers are risk averse for future repair costs. The cost of failure is considered as a random variable and the failure rate of products as a function of time. Using the Exponential utility function, a model for determining the optimal warranty cost, based on risk averse buyers point of view, was developed. Furthermore, the sensitivity of the optimal warranty price is analyzed with a numerical example with respect to such factors as (1) the customers' risk preferences, (2) their perceptions about the product failure rate, and (3) the customers' repair price.

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Iran with arid and semi-arid climate needs to save water and energy resources. In this study, the two regions of Isfahan and Yazd as two critical points in terms of water and energy have been studied. In this research, the two-region Input-Output model is used to measure and analyze the water and energy relations between the economic sectors of Isfahan and Yazd provinces and the link model is used to investigate the hybrid flow of two sources and the extent of link effects in each region in 2016. The results of combined water and energy flow indicate that the two sectors "water, electricity and gas" and "agriculture" are the most consuming sectors or the most effective sectors in terms of consumption in two regions, so that the most important management node in the relationship between water and energy are considered. Also, the calculations made in the total flow section of the two sources of water and energy indicate that the two sectors "water, electricity and gas" and "coke production, products from oil refining and nuclear fuels, and manufacturing of chemical materials and products” account for the highest output (export) and input (import) of water and energy from other sectors, respectively.  In addition, "Building" and "water, electricity and gas" are the most important sectors in water and energy imports, respectively. The total flow of water and energy resources between Isfahan and Yazd provinces indicate that each economic sector of Isfahan province is an exporter in the field of water and energy importing from other sectors, and each economic sector of Yazd province is an importer in the field of water and energy.

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Introduction:
In order to evaluate the socioeconomic development, various criteria are used to evaluate the livelihood, welfare, and social changes of human life. The economic progress is one of the important dimensions of development. The social dimension of development, which leads to the creation of justice for different members of a society, is another important aspect of development, and the realization of this goal requires planning. Land planning, which seeks to pay attention to regional potentials and differences, is a step in this direction. Ignoring these capabilities will lead to resources waste, intensifying regional dualities and negative consequences. For this purpose, the aim of the current research is to identify the key sectors of the economy of Yazd province based on the multi-regional input-output table. The innovation of the current research is to investigate all the economic activities of Yazd province and national economy and to identify the key parts of the two regions.

Methodology:
In the current research, we seek to identify and evaluate the key economic sectors of Yazd province and national economy using traditional methods, elasticity of final demand, data envelopment analysis (DEA) and finally a multi-ranked index using multi regional input-output table. In this article, the Central Bank's 2016 input-output table was used, which was the most up-to-date official statistical data table approved and available at the time of the research. Also, the regional input-output table of 2015 Yazd province and national economy has been extracted from the updated input output table of Central Bank and regional accounts of the same year by using specific Flegg location quotient (SFLQ) method. The input-output table of the Central Bank, according to the production and economic structure of the two regions, and using the ISIC classification method, has been aggregated into 20 sectors.

Results and Discussion:
The results of the present research show that in the traditional method, in total, the section "Manufacturing metal factory products except machinery and equipment" and three sections "Manufacturing paper and paper products and printing", "Manufacturing products from rubber and plastic" and "Manufacturing metals" "Basic" are respectively known as the key sectors of Yazd province and other national economies. In the final demand elasticity method of Yazd province, the sections "Manufacture of motor vehicles and other transportation equipment", "Manufacture of clothing, processing and dyeing of fur, tanning and polishing of leather and other leather products" and "Manufacture of unclassified machinery and equipment in Other" and for the rest of the national economy, the sectors "Manufacturing textiles", "Manufacturing basic metals" and "Manufacturing non-metallic mineral products" are ranked first to third. In the third method, known as data envelopment analysis method, in Yazd province, the "Manufacturing of motor vehicles and other transportation equipment" sector and in other national economies, the "Manufacturing of paper, paper products and printing" sector are known as key sectors.
In a general summary using a Multi Ranking Index (MRI), in Yazd province, "Textile manufacturing", "Clothing manufacturing, fur processing and dyeing, tanning and polishing of leather and other leather products", "Wood manufacturing and wooden products", "Coke manufacturing, Products from the refining of petroleum and nuclear fuels and the manufacture of chemical materials and products", "Manufacture of basic metals", "Manufacture of machinery and equipment not elsewhere classified", "Manufacture of motor vehicles and other transport equipment", "Manufacture of furniture and articles Not Elsewhere Classified", "Water, Electricity and Gas", "Construction", "Transportation" and at the level of other national economy sectors "Clothing manufacturing, processing and dyeing of fur, tanning and polishing of leather and other leather products" , "Making wood and wooden products", "Making paper, paper products and printing", "Making rubber and plastic products", "Making basic metals", "Manufacturing, repairing and installing subsidized, electronic and optical products, manufacturing, repairing and installation of electrical equipment”, “Manufacture of furniture and articles not elsewhere classified” are identified as key sectors.

Conclusion:
The findings of the present research indicate that the use of different criteria can show a different picture of the economic performance of the sectors. Using traditional methods, key sectors are industry-oriented. In the final demand elasticity method, the priority of the sectors is determined based on the importance of each sector, and in the data envelopment analysis method, the results are estimated based on the efficiency value of each sector. These results show the importance of paying attention to choose the right method in the evaluation of key sectors. Although the key sectors determined using different methods are different, the common point of all three methods is that the key sectors of Yazd province are industry-oriented. Therefore, according to the criteria used in the three methods, it can be seen that the province is well industrialized and the role of industry in the economic structure of the province is dominant.
 

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