Introduction: Due to the integration of education and treatment in teaching hospitals, the quality of residents' education has been affected by the implementation of the healthcare transformation plan system. The purpose of this study was to provide a model for improving the quality of Residents Education based on healthcare transformation plan. Methods: This qualitative study was conducted on 24 managers, professors and assistants of Mashhad University of Medical Sciences using a grounded theory approach and Purposeful sampling was performed until theoretical saturation and confidentiality of information was achieved. Data were collected through semi-structured interviews and open coding was done using MAXQDA10, in the next step the open source categories were identified as axial categories, and in the last stage, the relationship between the axial categories (selective coding) was determined. Results: Findings based on analyzing data including: ground condition (burden of treatment), causal condition (clinical education), intervening condition (supervision process) and strategies (education standardization, Qualification of education, promotion of professional ethics and preservation of human dignity and comprehensive review of pre-implementation transformation plan), and implications (reducing teacher and assistant therapeutic work, motivating residents, reducing medical error, increasing education time ,increasing supervision of occupational therapist and assistant). Conclusion: Increasing the quality and quantity of education in medical universities will definitely have a positive effect on how patients are treated and on their health over time. The results showed that by creating appropriate infrastructure in educational hospitals, quality of residents' education will be improved as one of the key elements in promoting and improving educational system performance before and after implementation of health system development plan.

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Purpose – The purpose of this paper is to describe imperialist competitive algorithm (ICA), a novel socio-politically inspired optimization strategy for proposing a fuzzy variant of this algorithm. ICA is a meta-heuristic algorithm for dealing with different optimization tasks. The basis of the algorithm is inspired by imperialistic competition. It attempts to present the social policy of imperialisms (referred to empires) to control more countries (referred to colonies) and use their sources. If one empire loses its power, among the others making a competition to take possession of it. Design/methodology/approach – In fuzzy imperialist competitive algorithm (FICA), the colonies have a degree of belonging to their imperialists and the top imperialist, as in fuzzy logic, rather than belonging completely to just one empire therefore the colonies move toward the superior empire and their relevant empires. Simultaneously for balancing the exploration and exploitation abilities of the ICA. The algorithms are used for optimization have shortcoming to deal with accuracy rate and local optimum trap and they need complex tuning procedures. FICA is proposed a way for optimizing convex function with high accuracy and avoiding to trap in local optima rather than using original ICA algorithm by implementing fuzzy logic on it. Findings – Therefore several solution procedures, including ICA, FICA, genetic algorithm, particle swarm optimization, tabu search and simulated annealing optimization algorithm are considered. Finally numerical experiments are carried out to evaluate the effectiveness of models as well as solution procedures. Test results present the suitability of the proposed fuzzy ICA for convex functions with little fluctuations. Originality/value – The proposed evolutionary algorithm, FICA, can be used in diverse areas of optimization problems where convex functions properties are appeared including, industrial planning, resource allocation, scheduling, decision making, pattern recognition and machine learning (optimization techniques; fuzzy logic; convex functions).

Aim of the current research was examining the relation between the quality of work life components and four career anchors among the Personnel of Esfahan's Iron Foundry Organization. The data collection instruments were two researcher-made questionnaires about the quality of work life. The results show that among the eight components of the quality of work life, those which were most influential on the four career anchors were social integrity and attachment in the organization. Furthermore, it can be concluded that the quality of work life of this Iron Foundry personnel in each one of the career anchors is at an average level.Selection and peer review under responsibility of Prof. Dr. Hafize Keser.