Showing 7 results for Ashoori
Volume 8, Issue 1 (Winter 2020)
Abstract
Aims: Health promotion competencies were defined as a combination of the essential knowledge, abilities, skills and values necessary for the practice of health promotion. The aim of this study was to assess the extent to which health promotion core competencies has been integrated in higher education (undergraduate and postgraduate) curricula of ministry of health and medical education in Iran.
Participants & Methods: In this qualitative content analysis, all the curricula of ministry of health and medical education of Iran were checked for the presence of courses such as health education, promotion, communication, consultation and planning, etc. through a summative approach.
Findings: Totally 241 curricula were checked. In the most of study fields, there were not the courses improving their competencies that constitute a common baseline for their health promotion roles especially in professional doctorate (medicine, pharmacy and dentistry) degrees.
Conclusion: Health promotion core competencies should be identified and considered in developing educational curricula for all health practitioners as an essential component of developing and strengthening workforce capacity to ensure quality health promotion practice.
Yousef Hojjat, Ali Asghar Maddah, Mojtaba Ghodsi, Soheil Talebian, Mohammad Reza Ashoori,
Volume 14, Issue 16 (Forth Special Issue 2015)
Abstract
The purpose of this paper is obtaining an optimal arrangement of permanent magnets in a non-contact eddy current damper in order to achieve the maximum damping coefficient (c) among dampers with the same dimension. Magnetic theory and eddy current equations have been employed and solved by finite element numerical method. The dominant damping parameters and the optimum ratio of the ferrite core and the permanent magnet for the specific dimension have been achieved. A damper with the dimensions obtained from design is manufactured in order to verify the result of simulations. A setup also is designed and manufactured to verify the damping coefficient. The damping coefficient of simulation and experimental setup is 69.50 and 68.37 respectively which shows a close correlation between simulation and experiment results. The damping coefficient of the designed damper has been increased by 22.5% compared with a same dimension damper. Furthermore, frequency response is obtained by MATLAB software and a decrease of vibration amplitude in eddy current damper has been investigated. The result showed 20 dB reduction in the peak amplitude of frequency response in the designed damper.
Mohammad Jafari, Hasaan Sadat Ashoori Savadkoohi,
Volume 15, Issue 5 (7-2015)
Abstract
In this paper, with the development of the classical Lekhnitskii’s complex variable methods, stress analysis of unsymmetric laminated with a quadrilateral hole has been studied. By using the complex variable method, Lekhnitiskii obtained the stress distribution around a circular and elliptical hole in anisotropic plates. With the extension of this method to unsymmetric composite laminates and by using the conformal mapping, have tried to investigate the stress distribution around non-circular holes. In this article, the effect of various parameters such as aspect ratio of hole shape, hole orientation and bluntness on force and moment resultants around the hole is considered. The results of the effect of these parameters has been presented for [0/90]T and [-45/45]T layup. The finite element method is used to verify the results of the analytical solution. Analytical results are in good agreement with the finite element solution. Based on the analytical results. Unexpectedly circular hole is not the best geometry to reduce the stress concentration in perforated plates and in some cases by selecting the appropriate bluntness for quadrilateral hole, the stress concentration less than circular hole can be achieved. Also, by choosing an appropriate rotation angle and selecting the proper fiber angle for each layer, the stress and moment resultants around the hole can be significantly reduced.
Omid Zargar, Abolfazl Masoumi, Mohammad Reza Ashoori,
Volume 15, Issue 12 (2-2016)
Abstract
Nowadays the Computer Aided Engineering (CAE) technique is widely used for improving Noise Vibration Harshness (NVH) performance of vehicles. High complexities in the Body In White (BIW) of vehicles lead the developed CAE models to become complex by which the optimization process will become very hard. Concept modeling could be a suitable replacement to overcome the mentioned limitations. Dynamic characteristics such as natural frequencies and mode shapes could be studied in the early phase of design with very low amount of calculations with the concept model. For this purpose, a developed concept model has been presented for the wheelhouse. The developed concept model uses approximated equivalent beam elements to model the beam like and panels of the structures. Also, the experimental test and numerical model have been utilized for the validation of the developed concept model. Two criteria of natural frequencies and corresponding mode shapes have been considered as the measure of validation. The results showed good correlation with corresponding advanced CAE models as well as experimental tests in low frequency range. The results showed that the developed concept model in this research is a powerful and effective tool to enhance and optimize the NVH performance of the vehicle in the early stage of design.
Volume 16, Issue 97 (March 2020)
Abstract
Cakes including muffin are the most important and high-quality cereal products and a product of wheat flour but due to high levels of fat and sugar in their formulation, continuous and prolonged consumption of these foods appears harmful. In this research the effect of different concentrations of date sap and glucose syrup (at levels of 0, 25, 50, 75 and 100%) was investigated in order to improve the qualitative and sensory properties of muffin cake with new formulation. Based on the results, the highest and the lowest viscosity were obtained in treatments containing 100% glucose syrup and 100% sucrose (as control), respectively. On the other hand, the highest and the lowest density were measured in control and the treatment containing 100% date sap, respectively. Also after muffin production, the highest amount of moisture, ash, a*, b* and volume were investigated in samples containing 100% date sap. In addition the the lowest and the highest staling was indicated in treatments containing (50% date sap and 50% glucose syrup with together) and control, respectively. According to the results, the highest sensory scores was belong to samples containing (50% date sap and 50% glucose syrup with together) and then 100% date sap. Finally and based on all properties, the samples containing (50% date sap and 50% glucose syrup with together) and then 100% date sap can be introduced as the best treatments in this research.
Volume 27, Issue 1 (Spring 2023)
Abstract
Nowadays, using the artificial intelligence technologies in law-based criminal sciences has gained a significant place. In the field of substantive criminal law, topics such as the determination of criminal liability due to crimes caused by the performance of robots or self-driving cars are among the most interesting and, of course, the most controversial topics in this field. In the field of procedural criminal law, the use of this technology in the five stages of criminal proceedings has faced many discussions. The main question of this study is whether the technologies related to artificial intelligence can be applied in the process of criminal detection and prosecution or not and what are the challenges facing it in the assumption of application? The results of the current research indicate that the technologies related to artificial intelligence are playing a role in many countries today according to the requirements of different stages of criminal proceedings and taking into account the requirements of each crime. In terms of crime detection and prosecution, a variety of police tools for predicting the time and place of crime and facial recognition technologies (FRT) with the aim of facilitating police actions and moving from "reactive" police to "preventive" police in many parts of Europe and the United States United States have been developed and deployed. What causes the steps to be taken more slowly towards the expansion of the use of this technology in the field of criminal law in general and in the stage of crime detection and prosecution in particular is the existence of challenges such as violation of privacy and freedom of citizens, violation of presumption of innocence and the risk of militarization of criminal justice. The authors believe that using the artificial intelligence technology in the field of detecting and prosecuting crimes is useful and necessary in order to deal with the crime phenomenon as much as possible, but we should not be fascinated in this regard. Using this technology in the important stages of detecting and prosecuting crimes should not conflict with the general principles governing criminal proceedings as well as the rights and freedoms of individuals. In this regard, regulating and establishing special laws can reduce the upcoming concerns to some extent. This is the reason why the need to regulate artificial intelligence is widely discussed, especially in the European region. In this regard, reports and strategic guidelines have been predicted and published.
Volume 27, Issue 4 (12-2023)
Abstract
The role of artificial intelligence-related technologies in legal knowledge is significant like most other scientific fields. Legal criminal sciences, and criminal justice system, have not unbenefited from the presence of this technology. In many developed countries, artificial intelligence-related systems are applied in various stages of criminal proceedings. The basic question is, "are the technologies related to artificial intelligence applicable in the process of issuing a criminal sentence? And if yes, what are the challenges in front of it?" The method of research is descriptive and analytical. It indicates that, the influence of personal feelings in judicial proceedings, lack of accuracy and speed in handling cases, application of prejudices and individual tastes, as well as conscious or unconscious biases, are among the most important reasons of applying artificial intelligence technologies at sentencing level. However, using the cloak of judgment in an autonomous is the main barrier of this path and will bring harmful challenges, such as partiality, lack of transparency, dehumanization in the decision-making process, and homogenization in judgment. On this basis, the presence of artificial intelligence as a decision-making tool, facilitator and assistant in the criminal sentencing phase is recommended. However, the use of this technology in a decision-taking and independent manner is contrary to the modern requirements of judgment and punishment doctrine. In fact, it will bring legal breaks and question the human contribution in the administration of justice.
