The growth and development of urban settlement have always been accompanied by industrial activities. Previous experience shows that after industrialization of the countries and the local selection of their industries in big cities, these cities have faced with enormous work force immigration and have observed severe changes in their urban system. These changes are mostly caused by the execution of the growth pole policy and the concentrated distribution of industries in these countries’ centers.\nIn Iran, after the solar 1340s (1961-1971C.E.), we have observed severe changes in urban system that its coincidence with the country’s industrialization requires lots of considerations. The execution of the industries’ establishment prohibition in a distance of 120 kilometers from Tehran is the appearance of one of the presented means in this era. But we still witness the big industries’ presence by 90% in Tehran in 1981. This paper is to proceed with the method of industries’ distribution in Iran by analyzing the place of small and big industries separately in cities with a population of more than 100.000 members. In line with this, using the addresses of the active workshop places registered in Industries Organization, the number of existing industrial workshops in cities with a population of more than 100.000 members in the country are categorized in the basic table in their population order; then, for scoring the importance and effectiveness of each industry, the number of individuals working in the workshop variable was used to determine the workshop’s importance factor.\nThe results of the analysis express that 55% of the 28663 active workshops registered in cities with a population of more than 100.000 members are selected their local in only 7 cities namely Tabriz, Mashhad, yazd, Isfahan, Qom, Tehran, and Karaj, which shows a kind of disproportion in the industries’ distribution across the country. Also, more than 90% of the existing active industrial workshops in cities with a population of more than 100.000 members have been in the range of less than 50 employed industries that included 50% of the employed members in the industry sector.

The results from the parametric study reveal that the most important design features for energy saving are demand-controlled ventilation as well as limited glazing on the facade. Further energy-saving features are efficient lighting and office equipment which strongly reduce user-related electricity and cooling energy. Together, the simulation results suggest that about 48% energy can be saved compared to a new office building built accordingto the Swedish building code. Thus, it is possible, using a combination of simple and well-known building technologies and configurations, to have very low energy use in new office buildings. If renewable energy sources, such as solar energy and wind power, are added, there is a potential for the annual energy production to exceed the annual energy consumption and a net zero-energy building can be reached. One aspect of the results concerns user-related electricity, which becomes a major energy post in very low-energy offices and which is rarely regulated in building codes today. This results not only in high electricity use, but also in large internal heat gains and unnecessary high cooling loads given the high latitude and cold climate.

Total quality management (TQM) is considered a very important factor for the long-term success of an organization. TQM implementation has been an important aspect for improving organisational efficiency. The links between TQM and performance have been investigated by numerous scholars. While examining the relationship between TQM and performance scholars have used different performance types such as financial, innovative, operational and quality performance. Recent research on total quality management has examined the relationships between the Total quality management and organizational performance. TQM focuses on continuous process improvement within organizations to provide superior customer value and meet customer needs. TQM a popular guideline for organizational management is adopted for developing strategic infomaps and infocharts for an information organization

The classification of Acute Coronary Syndrome (ACS) using artificial intelligence (AI) decision making systems has gained plenty of attention during recent years. Using this approach, we can differentiate patients with myocardial infarction (MI) from those with unstable angina (UA). The present study aims to develop an integrated method (i.e.; based on the feature selection and classification) for automatic classification of ACS types from clinically recorded data of patients who have reported to an emergency department. A dataset containing medical records of 809 patients suspected to suffer from ACS was used. For each subject, 266 clinical factors were collected. Initially medical feature selection was performed based on numerous interviews with cardiologists. Accordingly, 40 seminal attributes for classifying ACS were selected. A feature selection algorithm was also applied to find a subset of the features with the best classification accuracy in k-nearest neighbor classifier. This resulted in the reduction of features to seven. Eight different common pattern recognition tools for classification of ACS were subsequently employed. The classification performance of these classifiers was compared based on their accuracy and correctness, computed from their confusion matrixes. Among these methods, multi-layer perceptron showed the best performance with the 83.2% accuracy. An integrated classification approach based on AI and appropriate computerized feature selection algorithm can be used as an effective technique for ACS diagnosis and classification.

The issue of soft power in late 20th century found great importance which after Soviet Union breakup, it came more important in 90s decade. With emergence of globalization and expansion of international interactions, traditional and classical issues would no longer meet the interests whereby it is needed to reform policies and attitudes which this is due to the fact that the concepts of security and power have been changed a lot in these periods of time. The issue of soft power as a unilateral and hegemonic power has found a special position in America\'s foreign policy particularly in international interactions. According to the necessity of this issue during the controversial years with the relationship between Iran and west after Islamic Iran revolution, a tangible change appeared in America\'s foreign policy after the event of 11 September. In present paper, It has been attempted to identify the soft power and its dimensions and America\'s foreign policies opposing to Iran Islamic republic which a strategy would be represented in the end.

The issue of soft power in late 20th century found great importance which after Soviet Union breakup, it came more important in 90s decade. With emergence of globalization and expansion of international interactions, traditional and classical issues would no longer meet the interests whereby it is needed to reform policies and attitudes which this is due to the fact that the concepts of security and power have been changed a lot in these periods of time. The issue of soft power as a unilateral and hegemonic power has found a special position in America\'s foreign policy particularly in international interactions. According to the necessity of this issue during the controversial years with the relationship between Iran and west after Islamic Iran revolution, a tangible change appeared in America\'s foreign policy after the event of 11 September. In present paper, It has been attempted to identify the soft power and its dimensions and America\'s foreign policies opposing to Iran Islamic republic which a strategy would be represented in the end.

In this paper we introduce a new fuzzy Monte Carlo method for solving\nsystem of linear algebraic equations (SLAE) of the form Bx = f over the possibility\ntheory and max-min algebra, F = {[0, 1], = max,\n = min}. To solve the SLAE,\nwe use a fuzzy estimator and ergodic fuzzy Markov chains. This new approach works\neven for cases with coefficient matrix norm greater than one.

In this article , at first, we will investigate the approaches of pattern recognition and then we explain the importance of pattern recognition by its structural information which has been called structural pattern recognition method .In continue , we investigate one of the approaches for recognizing the noisy patterns which is called Lyon’s algorithm. This algorithm has been proposed by Lyon. This algorithm is used for recognizing string patterns and is an error correcting parser in context free grammars. In this paper we state disadvantages of Lyon’s algorithm and then introduce a new algorithm for its improvement. One of the problems of the Lyon algorithm is the cubic time complexity and the quadratic space complexity that we suggest a new algorithm with a new data structure for improving problems in the Lyon algorithm . a new algorithm by using linked list list data structure and some changes in procedure of the Lyon has reduced the time complexity from cubic to O(n*R) and also has reduced amount of wasting of the memory to the zero.

Abstract\nObjectives: One of the herbs in this field is fennel. Soft capsule fennel is a new product that no\nresearch has been done about it. The purpose of this study is to evaluate the impact of soft\ncapsules fennel on dysmenorrheal symptoms and menorrheal duration.\nMethods: This clinical trial with use of sampling method conducted on 78 female students in\n2012 and randomly divided into two groups of intervention(n=40) and control(n=38). In\nIntervention group, was given one soft capsules Fennel (30 mg) every 4 hours, three days before\nmenstruation till the fifth day and continued it for 3 months. In control group was given any\nmedication. Two people of control group out due to unintended. Results were recorded before, 1,\n2 and 3 months after intervention in the questionnaires and were measured before and after\nintervention in both groups. Data were analyzed by SPSS software.\nResults: The mean of nausea intensity and fatigue decreased to 1.93, and 2.88 after 3 months,\nwhereas they were 2.37, 6.65 in control group which indicated a significant difference.\nNausea was statistically significant only after 1 month of use.\nThe mean of pain intensity decreased to 5.18 after 1 month using the medicine, 3.72 after 2\nmonths, and 2.93 after 3 months in intervention group.\nReduce the duration of menstrual period, a significant difference was found between the two\ngroups after two months of use, but this difference was significant after three months of use.\nConcern in terms of quality, pain, and feelings of well-being after 1 and 3 months, no significant\ndifference was observed between the two groups.\nConclusion: Considering the safety of herbal medicines, this drug can replace chemical drugs\nused to relieve dysmenorrheal signs and menstrual duration.

Breast cancer is one of the most common reasons of mortality among women of the world. What matters is that breast cancer is predictable to some extent. The present paper presents different definitions of breast and cervical cancers screening methods. Cervical cancer is the third most common cancer among women, it has high side effects and increases death rate in different countries such as Iran. Therefore, the present paper also studies cervical cancer. Results of the research shows that correlation equals P< 0.001, and there is a positive and significant relation between women’s awareness of regular use of screening methods and breast self examination.

Abstract\nObjectives: One of the herbs in this field is fennel. Soft capsule fennel is a new product that no research has been done about it. The purpose of this study is to evaluate the impact of soft capsules fennel on dysmenorrheal symptoms and menorrheal duration. \nMethods: This clinical trial with use of sampling method conducted on 78 female students in 2012 and randomly divided into two groups of intervention(n=40) and control(n=38). In Intervention group, was given one soft capsules Fennel (30 mg) every 4 hours, three days before menstruation till the fifth day and continued it for 3 months. In control group was given any medication. Two people of control group out due to unintended. Results were recorded before, 1,2 and 3 months after intervention in the questionnaires and were measured before and after intervention in both groups. Data were analyzed by SPSS software.\nResults: The mean of nausea intensity and fatigue decreased to 1.93, and 2.88 after 3 months, whereas they were 2.37, 6.65 in control group which indicated a significant difference. \nNausea was statistically significant only after 1 month of use.\nThe mean of pain intensity decreased to 5.18 after 1 month using the medicine, 3.72 after 2 months, and 2.93 after 3 months in intervention group. \nReduce the duration of menstrual period, a significant difference was found between the two groups after two months of use, but this difference was significant after three months of use. Concern in terms of quality, pain, and feelings of well-being after 1 and 3 months, no significant difference was observed between the two groups.\nConclusion: Considering the safety of herbal medicines, this drug can replace chemical drugs used to relieve dysmenorrheal signs and menstrual duration.

To remain in today’s business market, project-based companies need to follow organizational strategies through strategic projects. Thus, the alignment between project management and organizational strategies becomes a priority for strategic management. The aim of this study is to present an applicable framework to align project management with organizational strategies; a framework which can ensure strategies’ desirable implementation through strategic projects. The proposed framework was first codified relying on the extensive library research and field study. Then, it was applied in a case study to determine the applicability. The results of the case studies were confirmed and implemented in a company.

About one century has passed from Iranian oil industry’s establishment, and consisting world’s 15 percent of gas and 9percent oil resources, Iran have fourth place among all countries. Imam Port’s Petro-chemistry company is so important because of being the largest petrochemical organization of the state, largest energy consumer in petrochemical industries as well as locating in the one of the most important poles of Iranian oil industry. In this paper, respecting to this issue that there was need to assess Imam Port’s petro-chemistry to develop a geographical data infrastructure, at the first focus was on the recognition of organization and goals of different units of organization. For this purpose, all relevant units were under estimation. Also in addition to interviewing experts of different units, their position and importance were determined, considering rates of importance in providing geographical data and their performance. In this research, a conceptual model of spatial data infrastructure (SDI) has been presented investigating some factors in Bandar-E-Imam’s petrochemical organization including, different effective aspects in concentration of SDI such as equipments and facilities, financial status, personnel’s ability and knowledge, geographical data and metadata as well as relevant standards, communicational facilities, organizational chart and relationship of the company with relevant and contract companies.