درخت حوزه‌های تخصصی

INTRODUCTION: Considering the significant contribution of public education to the reduction of damages incurred by disasters and crises in the country, the identification of all the components and dimensions of public education can be of great help to policymakers in this field in order to adopt a correct policy and decision. The current research aimed to investigate public education in natural disasters with the meta-synthesis method based on the seven-step model of Sandelowski and Barroso (2007). METHODS: The current qualitative research was conducted based on a meta-synthesis approach. The statistical population of the research included articles related to the research from 2000 until now. A number of 175 articles were retrieved, and after examining the title of the research, 105 articles were removed, and 70 papers were reviewed, out of which 36 papers were removed, and 34 articles entered the final stage for full analysis. Articles were searched in databases, such as Scopus, Emerald, Science Direct, Springer, Google Scholar, and Scientific Information Database (SID). FINDINGSThe selected sources were analyzed using Maxqda software, and the research findings were coded. In the open coding stage, 100 primary codes were extracted from 34 articles, and after extracting the primary codes, to categorize the concepts, axial coding was used, yielding 5 dimensions, 12 components, and their sub-components. CONCLUSIONAs evidenced by the obtained results, to reduce vulnerability, the responsible institutions can adopt appropriate measures that lead to learning and changes in the audience's behavior by using the presented model and considering the determined components and indicators in the process of public education. This model includes the stages of analysis, educational design, preparation and development, implementation, and evaluation.

This study focuses on providing an intelligent credit risk management system of the bank in the presence of the macroeconomic indicators using a combined methodology of econometrics and artificial intelligence. In addition to the use of scientific documents and reports, the panel data related to the annual reports and datasets of stock exchange banks are analyzed by using the MATLAB programming environment. One of the most important results of the this paper is that the proposed approach has been based on the calculations made with the GARCH economic model in which the input values of the component "Inflation rate factor (A4)” have a weight of 0.943734 (equivalent to the membership function "High H"); the component "rate factor Bank deposit (B4)” has a weight of 0.959346 (equivalent to the "High H" membership function); the component “Unemployment rate factor (A3)” has a weight of 0.990343 (equivalent to the "High H" membership function); the component "Exchange Rate Factor (B2)" has a weight of 0.990413 (equivalent to the membership function "High H"); And the component "GDP growth rate factor (A1)” has a weight of 0.959256 (equivalent to the membership function of "high H"); This means that, 5.46 is within a range of 6, i.e. the target variable is exactly in the 91st position (the fifth level of the system output is excellent).

We consider a class of fuzzy stochastic differential equations (FSDE), in which the integrands of the stochastic integrals are not adapted to the duration generated by a Wiener process. Such equations with randomness, fuzziness, and non-adapted processes can be applied in financial models. We discuss the existence and uniqueness of strong solutions. We consider a class of fuzzy stochastic differential equations (FSDE), in which the integrands of the stochastic integrals are not adapted to the duration generated by a Wiener process. Such equations with randomness, fuzziness, and non-adapted processes can be applied in financial models. We discuss the existence and uniqueness of strong solutions.

The main drivers of value creation in a ‘brand community’ are social networking, community engagement, impression management, and brand use. Marketers are therefore interested in determining which factors affect the value creation practices. This study examines the impact of the Interactivity of Electronic Word of Mouth (EWOM) systems on value creation practices in a brand community, which in turn influences the loyalty of the customers. In this regard, a conceptual model was developed and tested by the researchers of the current study. The results indicate that perceptions of the users regarding the interactivity of EWOM systems, highly impact only three of the four value creation practices including community engagement practices, impression management practices, and brand use practices. Furthermore, the researchers found that collective value creation practices could significantly and directly enhance brand loyalty. Several theoretical contributions and managerial implications were also discussed