The study aims to conduct the first complete panel investigation in the China-Central Asia-West Asia economic corridor, as a part of Belt and Road Initiative, of the effect of terrorism on bilateral trade with China. Also, to identify the impact of terrorism on FDI flows from China to the region. Macroeconomic indicator performance of 14 countries and the number of terrorism incidents for the period 2006-2018 was used to construct the panel dataset. The study attempts to explain two causal relationships. The model is based on gravity model. Following the literature and theory, it was expected that terrorism negatively affects both trade and FDI. The study hypothesizes and provides evidence that there is a negative relationship between terrorism and trade on CCAWAEC. The study was further extended to look at FDI, but no clear evidence was found between terrorism and FDI stocks from China to the countries of the corridor.

This paper seeks to provide a tool for decision makers to make more informed decisions regarding their outsourcing decisions and selection of the appropriate supplier. Fuzzy theory provides a proper tool to encounter with uncertainties and complex environment. This research adopts the fuzzy AHP as the analytical tool that determines the weights of each criterion. Then this research uses the fuzzy TOPSIS method for selection of the best supplier. The selection of appropriate supplier is a multiple attribute group decision-making exercise. In a real decision process, there are many uncertainties and ambiguities, that decision makers cannot always make precise judgments. The numerical example demonstrates that the fuzzy AHP and fuzzy TOPSIS approach can be used to simulate the decision process in supplier selection. From our research results, the quality and price are the most important criteria for supplier selection. Moreover, the results demonstrate that supplier 4 is best supplier for company of case study. The procedure proposed here can help companies to identify the best supplier. Selecting appropriate suppliers for every company are Critical and important. Therefore, there is a need for a quantitative method to help decision makers to make better decision on supplier selection. That leads to the formulation of this paper. The fuzzy AHP and fuzzy TOPSIS methods can assist decision makers to make better decisions in supplier selection.

Scamming legitimate scientists is really an example of having some epic amount of ass-gravy for brains.\n\nFuck you, you fucktards.

Recently, the penetration of Distributed Generation (DG) at medium and low voltages in utility networks is increasing in developed countries and takes special place for them worldwide. Due to the DGs advantages, including using of Renewable Energy which not polluting environment and has endless nature, the application of DGs can potentially reduce the need for traditional system expansion, controlling a potentially huge number of DGs creates a daunting new challenge for operating and controlling the network safely and efficiently. One problem that encountered with it when using with DGs, is an unwanted Islanding phenomenon. In this paper, a active technique for inverter based distributed generations using positive feedback of rate of change of negative voltage sequence of voltage in order to detecting islanding conditions has been present. The simulation results performed in MATLAB, clearly show improved operation of this method.

Supply chain management is the management of internal and external processes or functions to satisfy a customer’s order from raw materials through conversion and manufacture through shipment. Recent studies indicate that supply chain performance affects more than 85 percent of a manufacturer’s costs and a large percent of its revenues. Monitoring this performance through measurements is, therefore, practical and helps to identify optimization opportunities. Performance measures, or “metrics,” are used to monitor the progress of supply chain initiatives. In other words, a performance measure is a value or characteristic to measure output or outcome. In this study, using improved Willis method and base on Gunasekaran Model, has been presented practical method that calculates degree of supply chain management performance. The measurement framework in this study offers guidelines for measuring the supply chain performance in manufacturing units. The case study of this research is relevant to performance measurement of supply chain management in MAHER ANDISH unit which is one of the largest motor vehicle parts manufacturers in Iran. Based on Gunasekaran Model, supply chain management levels were divided into 3 levels and 15 criteria. Findings indicate the degree of supply chain management Performance in this industry unit is equal to 0.783.

In this investigation, amodern process of designing named “Direct Strength Method” (DSM) for the columns with welded steel sections formed of the sheet with slender components under uniform compression based on AISC regulations has been developed and reviewed. A set of theoretical and software studies have been conducted on the welded slender sections of box and H shaped with theconventional steel sheets with the constant thickness of 8 (mm) and yield stress of 2400 (Mpa) in order to reach the ultimate strength of the aforementioned columns.Subsequently, using DSM for final predicting such sections like these needs numerical stability analysis and it is also required to determine the behavior of elastic buckling of the member in a range of actions and reactions related to local and general buckling modes. Hence it is mandatory for the sections to be analyzed through CUFSM software based on the finite strip method (FSM) in order for simulating the mentioned behavior.So as to complete the basic information, the effect ofinitial imperfections and defects on the applied sections and the behavior ofpost-buckling strength has been surveyed through using non-linear analysis of ABAQUS software based on finite element method (FEM) with the assumption ofno effect of residual stress. Eventually, the accuracy and precision of reviewed DSM equations have been compared to the final amounts obtained from AISC regulations for columns with slender sections.

Present research is a case study which surveys the role of monetary variables and finance in controlling the prices. The annual report of Iran Islamic republic‘s Central Bank and Management and Planning Organization would be the statistical society. Present research has been accomplished through the library studies within the econometric and OLS classic methods. State budget and financial Income have been considered as the monetary variables, and finance and financial assets are as the financial variables. The aim is to find the effective factors on inflation, and the effective monetary or financial policies to control the inflation and prices rise. Circulation in Financial assets, as the way to supply the government‘s budget fraction, could be one of the effective variables on the price levels. Because the Circulation and buying the financial assets through private part could be effective on the price levels through the open market operation and the money reduction. Observation of Time series graphs in research variables indicate that these variables involve the Ascending trend .therefore, it is obvious that the minimum average of these variables would not be fixed. Therefore, we attempt to use DSP method in order to stagnate the variables.

Genetic algorithm is a particular type of evolutionary algorithms in which the biologic techniques like genetic and mutation are used. As a matter of fact, Inspired by Darwinian principles of natural evolution to find optimal formula to forecast or adjust the pattern -these principles (Darwinian principles) are used. Genetic algorithm is a programming technique in which the genetic evolution is used as a pattern to solve the problem. The problem which has to be solved is the input in which based on a pattern - the solutions encoded and called the “fitness function“, each solution evaluates the candidates chosen randomly. An evolutionary algorithm is a sub-field of evolutionary computing to find the optimal solution which it has been considered for various problems. Along this, the concepts which are applicable in present paper are the concepts which are on the basis of computer science and Genetic science like the algorithm and various types of it, search, heuristic, the history of Genetic algorithm and Genetic science, Gene, Chromosome and inheritance. In present paper, it has been attempted to observe the application of Genetic algorithm in heat flow.

The recent bankruptcies of the mega-corporations worldwide and the fluctuations in Stock Exchange in Iran have created the need for instruments to measure the financial capabilities of the firms. Financial ratios are considered to be one of the tools to measure financial capabilities of the companies. Also several models are used to predict bankruptcy. The environmental changes and the exceeding competition between the entities have limited achieving the expected profit for them. Thus, the financial decision making has become more important compared with the past and has forced the mangers to use the advanced techniques in order to make benefit of the new controlling methods. This research is carried out to present the theoretical fundamentals of the research and compare the results of utilizing Fulmer and Toffler models in order to predict the companies\' bankruptcy. Thus, the data related to 90 firms accepted in Tehran Stock Exchange for the years between 2005 and 2010 were tested. To analyze the data, we used the non-parametric binomial statistical methods. The results showed that in predicting the firms\' status with Wilcoxon\'s statistical method, there is a meaningful difference between the results of the two models. Also, in forthcoming studied it was found out that Fulmer\'s model acts more conservatively in bankruptcy prediction than Toffler model.

Empowerment makes staffs to think that organization and job belongs themselves and to be proud of working there. Empowerment of human resources is an essential issue, as a modern approach for internal motivation of job to release potential power of staffs and providing opportunities to show talents, powers and competence of individuals. On the other hand, empowerment would lead to improvement of service quality, validation of organization’s efficiency, and enhancement of staffs’ motivation. Hence, the organization would be able to cope with changes through including such committed and motivated staff. The main objective of the present study is to identify effectiveness of psychological empowerment on organizational commitment. Case study has been conducted on Steel Alborz Co Iran. Applied method in the present study has been field method, which have been used through questionnaire and survey method for data collection. Statistical population of the study has been 243 staffs of Steel Alborz Co and all population has been considered, since population size has been limited. The study includes 1 main hypothesis and 12 secondary hypotheses, which have been analyzed using two programs of SPSS and LISREL. Obtained results from the study indicate that there is a significant relationship between elements of psychological empowerment such as effectiveness, right to choose, job competence with emotional commitment.