Introduction: Choosing the right type of device is important to support users of Health Information Systems. In addition to cost, durability and simplicity, staffing levels and hospital workflows affect in the selected. The purpose of this study was to identify the preferences of users in device selection.Methods: This applied research with qualitative method, Focus group, was conducted in 2014. Population research are users of HIS. They have been divided into three distinct groups based on their computer skills and medical knowledge. The sixteen users, were invited to three focus group meetings and have been asked to explain their criteria for selection of the device. Questionnaires were also used in order to compare the results of discussions quantitatively. The reliability and validity of the questionnaire were confirmed by Cronbach’s alpha (0.86). The analysis was performed using descriptive statistics.Results: The mean response of participants shows that end-users with high level of medical knowledge and computer skills prefer to use tablets (3.75) and then PCs (3.67). Medical staff without computer skills selected tablets (4), workstation on wheels (WOW) (2.5), wall mounted workstation (2.5) and PCs (2.25). Ultimately members with skills in using the computer and lack of medical knowledge, selected PCs (3.37), tablets (3.29), Personal Digital Assistant (PDA) (3.17), wall mounted workstation (4.2) and WOW (2.67).Conclusion: This study showed that the best device for the medical staff is Tablet and PC is the best device for administrative staff.

This paper concerns locational finding in broadband wireless networks in corporating OFDMA technique at the plysical layer. In this regard, a novel estimation method is proposed to find the position of active users. This method makes use of the power spectral density of the received signal from a specific user to compare its likelihood to that of some reference points. Despite the conventional method which performs well in a single path environment, the proposed method not only robusts in a muli-path environment, but also it inherently incorporates path delay spreads to find the location of exiting users. Simulation results indicate that the mean estimation error in the wimax network operation is around 11 meters at 3.5 Ghz with 5 Mhz bandwidth and when reference points are 26.4 meters apart relying on SUI model.

With the pervasiveness of social networks and the growing information shared on them, users of these networks are exposed to potential threats to data security and privacy. The privacy settings included in these networks do not give users complete control over the management and privatization of access to their shared information by other users. In this article, using the concept of social graph, a new model of user access control was proposed to the user, which allows the expression of privacy policies and more accurate and professional access control in terms of pattern and depth of relationships between users in social networks. In this article, by using the regular index method, indirect relationships among users are examined and analyzed, and more precise policies than previous models are presented. The evaluation of the results showed that for 10 neighbors for each user, the probability accumulation of a qualified path for the first three counter loops is 1, 10. 5 and 67. 3%, respectively, and finally for the fourth counter it reaches 100%. As the defined counting characteristic increases, the average execution time of the proposed algorithm and previously proposed algorithms increases. However, for the higher limits of the counting characteristic, the proposed algorithm performs better than the previous ones.

One of the most important parts of the vessels is its diesel engines. These engines are in charge of various operations like generating electricity power, propulsion power, fire pumps, and etc. Therefore, due to the unnecessary expenses may result from choosing the wrong engine, engine selection is of a great importance and this paper tries to assess the important and effective factors in choosing the right engines.The engine selection procedure is presented under the following headings:Fuel consumption and engine oilThe volume occupied by the engineEngine RepairsThe rapid reaction of the engine in the case of increasing the pitch or in moving back in direct drive vesselsBeing consistent with international maritime laws and conventionsThe ability to work with an alternative fuel in deep-sea vesselsBeing user friendly and the ability to easy and simple repairs of enginesThe amount of engine vibration and noise resulting from itOther important factors.