Today’s cities are increasing their space zones while becoming more vulnerable to natural disasters and man-made threats. The initial evaluation of the resilience of city systems is of great importance and helps develop policies and measures that would improve resilience. This paper, using a descriptive–analytic method, defines the characteristics of a resilient city, and natural disasters are addressed. At the same time, the process of reaching a resilient city is investigated. Then, the indicators of resilience have been defined in pillars of ecologic, physiological, social, economic, and managerial–institutional dimensions for the evaluation of a resilient city in Iran. As the sample of the study, the indicators of the study were evaluated in the city of Sanandaj and prioritized in the network analysis process (ANP). The results of this analysis showed that zones one and two, respectively, were the weakest parts regarding urban resilience. In order to move toward a resilient city, future investments should go beyond financial investment and technical solutions and consider human and community development, as well as institutional capacity and inter-organizational cooperation.
Aims Physical activity is the most critical determinant of physical health which reduces the health risks during life. This designed study aims to evaluate the effect of educational intervention based on the theory of planned behavior on promoting physical activity among middle-aged women attending the health centers in Karaj city during 2017-2018. Methods This research was a quasi-experimental controlled trial, and the study incorporated 140 Middle-Aged Women Referring to Karaj Health Centers assigned randomly to a control and intervention group (70 each group). Participants enrolling in the survey were asked to complete the International Physical Activity Questionnaire and also the theory of planned behavior measures at the baseline and the end of the study. The study applied Nonparametric Wilcoxon and Mann-Whitney tests and ANCOVA to interpret the results. Results The results revealed participants' age range between 30 to 50 years with the mean and standard deviation scores 40.07 (8.750) in training and 45.81 (8.513) at the control group. The intervention improved the theory of planned behavior measures and the physical activities of participants. The results showed a significant difference in the attitude score, the perceived behavioral control score, and the level of subjective norms between two training and non-training groups (P<0.001). The followed-up physical activity score also showed an improvement in the IPAQ score of participants in the training group (p<0.001). Conclusions The findings suggested the effectiveness of training based on the theory of planned behavior in the promotion of physical activity among middle-aged women.
When collaborative embedded systems (CESs) connect to form a group, this collaborative system group (CSG) can achieve goals that are beyond the reach of individual systems. The goals such a group can achieve depend on the constituent collaborative embedded systems. Consequently, the ability of a collaborative system group to adapt itself is driven by the capabilities of its collaborative embedded systems. This tight interconnection impedes the manual handling of adaptation strategies. Therefore, this chapter introduces a goal-based approach for strategy exploration that considers the peculiarities of collaborative system groups and collaborative embedded systems. The chapter sets out the model-based approach to adaptive system (group) design, incorporating the goals of collaborative system groups and individual systems, and outlines corresponding automated validation methods. We demonstrate the applicability of our approach for a case example of collaborative transport robots.
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