Purpose: The purpose of research is to observe the influence of public trust on accepting KBOs. The implementation method of the research is descriptive (non-experimental) and with correlation analysis model formed by structural equations used the least minor squares. Methodology: The participants of the survey were consumers of KBO services. According to Cochran formula for unspecified society, 384 individuals were chosen as statistical sample selected totally random. From 384 questionnaires distributed, 370 were answered and 14 others were discarded due to many unanswered questions. In due course 370 questionnaires were processed. To measure social trust, Safarinia and Sharif questionnaires were used. (1389). due to receptivity of knowledgebased organizations, researcher-made questionnaire were utilized. this questionnaire contains 5 elements which composed based on available questionnaire. We realized there is a meaningful and significant relation between KBO admission and all aspects of social trust. the influence of social trust on KBO’ S admission was positive and meaningful. The influence of social trust on KBO’ s admission is positive and meaningful. Findings: According to the results, 72% Variance model in knowledgebased organizations admission were indicated by Research model. Therefore, we realized strengthening social trust will bring acceptance to KBO’ s presence. Discussion: In this regard, managers and officials in KBOs must concentrate on gaining and obtaining social trust in case of adequate social acceptance.

Background and Aim: this research was performed to investigate factors affecting the commercialization of research results in Knowledge-Based companies using a descriptive survey. Method: this was a descriptive survey and since it defines the relations between variables, it is correlational. To collect the required research data, a researcher-made questionnaire was used. This questionnaire includes 39 questions in 8 dimensions (individual, organizational, environmental-organizational, cultural-social, legal, economic, political and industrial factors) and 5 questions related to commercialization. The statistical population of this research includes 970 of the CEOs of Knowledge-Based companies based in the Science and Technology parks of six major cities of Iran and the sample size was determined to be 275 based on Cochran's formula. Data analysis was performed using the SPSS-20 and Amos-20 software. Results: the results from this research showed that all the 8 factors significantly predict success in the commercialization of research results; but the results from the simultaneous investigation of the role of predictive variables in the commercialization of research results showed that the following items have the most significant roles in the commercialization of research results: legal (β =056, p<0. 05), industrial (β =0. 28, p<0. 05), organizational (β =0. 23, p<0. 05), individual (β =0. 13, p<0. 05), and economic (β =0. 12, p<0. 05). Conclusion: based on the results, in order to invest in the development of the infrastructures of the commercialization of research results, the greatest amount of focus must be placed on legal, industrial, organizational and ultimately economic factors respectively because the development and revision of these factors will indirectly affect the other factors.

The current research aims to have a future study and scenario analysis of the synthetic indicators of the Knowledge-Based economy following the cross-impact analysis. First, the key components are identified and analyzed, and then the general scenarios of the Knowledge-Based economy in Iran are suggested. The study borrows the norm paradigm and planning through allegiance approach of the higher-documents. The perspective is the 2025 document. The data were collected from the literature, and the questionnaire of the national and international researchers analyzed via the hierarchical system and the MIC MAC diagram. The findings of the cross-impact analysis showed that 14 key components out of the 32 had the most effect on the Knowledge-Based economy. These components were influential in conceptualizing the scenarios. The Knowledge-Based indicators include: 1. The share of exporting advanced technology from industrial productions, 2. the established commercial marks and brands, 3. the share of exporting IT products out of the total exportation of products and services, and 4. the royalty and license expenses.

Safety is of primary principles of living in human communities. Preparation and provision of necessary considerations for encountering hazards are main targets of the crisis management. Nuclear risks are one of hazards threatening in the human life. Since radioactive contaminants sustain for years after the incident, investigation into nuclear hazards and its damage on living environment and urban features is so vital. This study essentially aims at evaluating the risk of radioactive contaminants to urban land uses. Due to high resolution satellite images, remote sensing technology has been considered as an advanced technology to generate information covering urban areas. Information on land cover is one of the most important tools of management during crisis. Land cover maps can be prepared through techniques for high resolution satellite image processing and extracting urban features. In this study, the fuzzy objectoriented method is applied to classify such phenomena. In the proposed method, a fuzzy rule-based strategy and hierarchical model are employed to overcome noise between classes. Fuzzy rule-based classification method is used as well as optimization and improving features of multi-scale analysis. Considering blocks of WorldView2 sensor, 91% of object detection is implemented with an average accuracy. When classification image of urban features is produced, the risk of radioactive contaminants to each recognized object is determined based on EDEM model.

Purpose: This research has been designed to identify the effective components of the internationalization of the entrepreneurial university that contribute to the creation of Knowledge-Based economics. Methodology: The research method was a blended method and the statistical population included experts and experts in the field of growth centers in Islamic Azad universities in Fars province. In the qualitative section of 11 people in the interview process and in the quantitative section with a population of 976 people, 277 people participated as an example in this study. The data gathering tool was an interview and a researcher-made questionnaire. After validation, its reliability was 0. 83. Descriptive statistics were used to analyze the data and exploratory and conFirmatory factor analysis was used in the inferential part. Findings: The results of the research of findings showed that the continuous validation components of the university in order to achieve international standards, conduct innovations and international initiatives on campus, the relationship of faculty members with foreign graduates with the highest factor load (0. 88) And the component of the application of the system of international education in the university with the least factor load (0. 63) of the total variance explained, and other components were important in the following order respectively. Discussion: The coefficient of the effect of components in the internationalization of the entrepreneurial university in creating a Knowledge-Based economy alone is the highest coefficient of influence on the continuous validation component of the university in order to achieve international standards, carry out innovations and international initiatives on campus, the relationship of faculty members with Foreign graduates with 0. 88 and the least in the component of using the distance education system at university.