hamid esmaili

 The current research was conducted with the aim of developing a creativity management model based on cognitive sciences and technologies in military universities. For this purpose, by using the capacity of the qualitative research approach and the focus group method, the dimensions and components of the studied model were identified. The data was collected using the purposeful sampling method of the criterion type and focus interview with 4 focus groups from among 12 experts in the field of cognitive science and analyzed using thematic analysis method.Structural capital includes components such as educational space, office space, welfare space, facilities and equipment, educational systems, software, network and internet equipment. Cultural capital includes components such as knowledge and expertise, organizational culture, educational and research resources, interactive space and social networks. Political capital includes components such as power and influence, leadership and management, networking and accountability. Cognitive capital includes components such as problem solving, learning, adaptability, knowledge production, trust, cohesion, interactions, participation and cooperation, organizational belonging, and reputation. The model presented in this research provides a comprehensive framework for creativity management in military universities. This model, taking into account different dimensions of capital (structural, cultural, political and cognitive), can help to improve the level of creativity in these universities. This research shows that cognitive technologies have the capacity to become a powerful tool for developing creativity in organizations. By supporting knowledge sharing, enhancing communication and facilitating collaboration in these four dimensions, cognitive technologies can empower individuals and organizations to achieve greater innovation.

Today, cognitive sciences and technologies are known as one of the most advanced fields of science and technology, and due to the great influence of this field on various social, political, economic, military, etc. aspects, significant costs are spent on these researches. to be The purpose of this article is to examine the various capabilities of cognitive sciences and technologies in the field of defense and security. This research is qualitative and the focus group method was used to collect data. In this method, the opinions of experts related to the subject have been collected and analyzed. The findings of this research show that cognitive sciences and technologies can be used in various fields of defense and security, such as strengthening the mind by creating cognitive flexibility, training and developing super soldiers to increase human performance, designing and producing weapons. cognitive to deal with the threats of cognitive warfare, fusion of man and machine, etc. Using the capabilities of science and cognitive technologies in the field of defense and security can achieve extensive achievements in the field of improving the detection and prevention of security threats, managing risks related to defense and security, and making it possible to collect, analyze and use a huge amount of data in the form of fast and smart, and not paying attention to these capabilities can have serious and unpleasant consequences. However, cognitive sciences and technologies have many capabilities to improve the defense and security capabilities of countries, and the use of these capabilities can help increase security and stability in the world.

Outsourcing of corporate activities by suppliers has long been done in the oil and gas industry. Outsourcing is known as a tool to gain strategic advantages. Outsourcing maintenance is also a common practice in many industries, including producing chemicals, petroleum, petrochemicals, and medical equipment. However, this process involves many risks, with their extent and nature still unclear. There are strong reasons for outsourcing some of the most important economic concepts. Determining the effective indicators in this selection and the importance and priority of each of them has always been the subject of intense research. In this paper, we examined the effects of these variables and assessed their relationship with decision-making outsourcing maintenance at gas refineries. First, the effective variables were identified by reviewing the literature and based on experts’ opinions. Next, it was tried to prioritize the indicators identified from previous studies using the relatively new Bayesian Best-Worst method (BWM). The results are then compared using one of the most recent decision-making methods, i.e., the Ordinal Priority Approach. Comparing the results of these two models shows that in both models, the cost of technology modernization and upgrades, the cost of emergency repairs and production stops, the cost of depreciation of equipment and machinery, and the cost of major repairs are the top four significant criteria among all the examined ones. However, the first and second methods consider “cost of maintenance” and “cost of productivity” more significant, respectively. It is worth noting that other differences were also identified in this study.

The medicalization of the current society has created a platform for solving problems through double prescribing, especially in metropolitan areas, so that people prefer to use surgeries beyond its therapeutic aspect. This issue is not only in the field of medicalization of society but also in the field of motivations, causes and even psycho-physical injuries, especially from the perspective of the perception of actors and consumers in this field. Therefore, the present article seeks a phenomenological analysis of the lived experience of medicalization through cosmetic surgery in women in Tehran. This research was carried out by descriptive phenomenological method, through the seven-stage collage method in Tehran metropolis. The sampling in this study was purpose-dependent and was conducted through in-depth and semi-structured interviews up to the level of data saturation with 13 women who underwent cosmetic surgery. Data validation was performed by two coders and in-depth description method. The results of the study on the predisposing conditions of women (including: acceptance of surgical risks, trust in early access, conscious trust in the specialist) predisposing conditions related to the physician (including simplification of surgery by physicians, virtual beauty branding, change in the system of aesthetic meanings, deviant medical orientation To psychological needs) and the results of the operation, which included the positive and negative results of the surgery.

Today, upon the higher internet usage and the Covid-19 pandemic, the use of omni-channel distribution has experienced significant growth. The shopping experience in omni-channel distributions is influenced by the physical environment of the buyer, delivery time, and the cost of production to distribution of the goods which have a significant impact on customer loyalty and customer satisfaction. The lack of comprehensive studies in this field, and the number of constant variables in most of the available studies in the literature, especially uncertainty-laden demand, illustrate the significance of this study. After a related literature review and experts’ interviews, based on omni-channel Approach, all important factors influencing time, cost, and customer satisfaction have been included within a multi-objective mathematical model. Thus, defining constraints and decision variables, the objective functions have been solved within two new meta-heuristic algorithms, namely MOGWO and NSGA-II. Besides, these algorithms have been validated using NPS, DM, MID, and SNS indices. Upon comparing the outputs of these two algorithms and inserting 30 numerical instances, it has been shown that the MOGWO method has a stronger Pareto frontier and organized scattering for Pareto solutions. However, averagely, the NSGA-II algorithm produces fewer and more values compared with the first and second objectives, respectively.

If the quality of a process is described using a linear functional relationship between the response variable and independent variables, such a relationship is called the profile. Today, with the development of manufacturing technologies, multistage processes have found a special position in manufacturing companies and industries. In this paper, we consider a multistage process with AR(1) auto-correlated simple linear profile in each stage and address the effect of both auto-correlation and cascade property on the performance of common monitoring procedures. To eliminate the effect of auto-correlation, we used a transformation method as a remedial measure at first. Then, an approach based on the U statistic is applied to remove the cascade property. Next, a modified T2 control chart is proposed to monitor the process in the second stage. The performance of the proposed control chart is evaluated in terms of average run length criterion. The simulation studies show that the proposed control chart perform satisfactorily.

The shopping experience in Omni-channel distributions is influenced by the physical environment of the buyer, delivery time, and the cost of production to distribution of the goods which have a significant impact on customer loyalty and customer satisfaction. This study presents a system dynamics approach to identify the variables affecting the three aspects of customer satisfaction, cost, and delivery time, as well as the relationships among these variables in omni-channel distribution. By reviewing previous studies and expert opinions identifying important variables, followed by generating different scenarios in the Vensim software, the optimal values of the important variables are estimated. It is observed that by approaching the values of the fourth scenario – increase in the amount of market competitiveness indices, customer referral rate, marketing costs, technology etc. and decrease in the maintenance costs – the highest customer satisfaction and the lowest cost and delivery time can be achieved.

Fatigue is one of the most common symptoms in primary care that adversely affects work, family life, and social relations. The purpose of this study was to survey the relationship between work schedule and fatigue among the emergency personnel of Isfahan, Iran using the checklist individual strength (CIS) standard method in 2010. This cross-sectional study was performed on 72 emergency personnel in Isfahan. A 23-item questionnaire and the 20-item CIS questionnaire were used to evaluate work schedule and fatigue, respectively. Data analysis was performed by regression analysis in SPSS16. The results showed a significant relationship between work schedule and fatigue (P < 0.001). In fact, among the scheduling factors, satisfaction with working hours, rest breaks, and discipline were effective on fatigue. However, predictability did not affect fatigue. Moreover, work schedule mostly influenced mental fatigue, i.e. there were significant relationships between mental fatigue and satisfaction with working hours, rest breaks, and discipline. More satisfaction with working hours, rest breaks, and discipline can reduce fatigue among the emergency personnel.

Usually، in testing hypothesis a p_value is used for making decision. Would p_value be the best measure to accept or reject the null hypothesis? Would it be possible to have a better measure than the ordinary p_value? In this paper، hypothesis testing has been considered not as a choice to make decision but as an estimating problem to possible accuracy of a given set، labeled by Θ_0 and p_value would be used as an estimator to possible accuracy of Θ_0 Real numbers as a parametric space has been usually accepted by researcher although the parametric space has been limited in many of applications. A measure named as modified p_value which functions more better than usual p_value in bounded parametric space، would be introduced in normal distribution of one-side and two-side testing.