Today Mega-University, Mega-school, and Mega-teachers by using of educational technology can be concerned to people who are interested to medical education. Mega-schools increase the quality of education in medical sciences by creating collaborative, educational, and therapeutic content along with gamified exercises on a completely independent platform, consisting of students, professors, and University administrators.

Introduction: Yardangs due to intensive wind erosion are exclusive landforms on the earth's desert and possibly occur on Mars and Venus. The recent advances in the remote sensing technique and easily available of high resolution satellite data e.g. QuickBird provide useful information of remote area. Hence the Mega-yardangs with tens meter high and hundred meters long are easily identifiable on satellite images and their global distribution and properties can be mapped.The Lut desert (Dasht-e Lut) in the south east of Iran is described as the “thermal pole of the Earth” (Mildrexler et al., 2006). With an area of about 80, 000 square km it is regarded to the hottest and the driest desert in the world (Alavi Panah et al., 2007; Gabriel, 1938; Mildrexler et al., 2006).Yardangs are streamlined forms up to 150 km long and 75 m in height resulting from a number of formative processes, including wind abrasion, deflation, fluvial incision, desiccation cracks, slumping, weathering and mass movement (Goudie, 2007; McCauley et al., 1977; Ward and Greeley, 1984). A limited number of morphometric investigations have been done on yardangs. Goudie (2007) identified Mega-yardangs in hyper-arid environments with total rainfall less than 50 mm including central Asia, the Lut desert in Iran, northern Saudi Arabia, Bahrain, the Libyan Desert in Egypt, the central Sahara, the Namib desert, the high Andes and Peruvian desert. According to Goudie, these features develop in a wide range of rock types e.g. sandstones, ignimbrites, limestones and basement rocks by a relatively unimodal wind direction.Materials and Methods: In this study 3 arc second DEM of version 3.0 SRTM data (~90 m) with geographic projection acquired was used. That was re-projected to UTM grid with WGS 84 Datum.We used 90 m DEM produced from version 3 SRTM 3 arc second data and the SOM algorithm for identification of yardangs in the western part of Lut desert. Self-Organizing Map (SOM) is an unsupervised and nonparametric artificial neural network algorithm that clusters high dimensional input vectors into low dimensional (usually two dimensional) output map which preserve topology of the input data. In geomorphic studies of landscapes, the first and second order derivatives of DEM are the basic components for morphometric analysis (Evans, 1972). The second order derivatives of DEM are affected by geomorphological processes (Evans, 1972; Wood, 1996 b). To calculate the morphometric features, a local window is passed over the SRTM DEM and the change in gradient of a central point in relation to its neighbors is derived by a bivariate quadratic function. Wood (1996 a) defined a set of criteria to classify DEMs into morphometric classes. Yardang identification and analysis in the study area was performed using the parameters proposed by Wood (1996 a). A local window of 5x5 is passed over the DEM and slope, cross- sectional curvature, maximum and minimum curvatures are derived by fitting a bivariate quadratic approximation surface. The derived morphometric parameters were used as an input to SOM.Frequency histograms and average quantization error of the results are compared. Two dimensional plots of mean values of morphometric parameters (feature space), oblique views of map units draped over the DEM, Landsat ETM+ data and high resolution Quick Bird images were used to study the Mega yardangs in other places than Iran.Results and Discussion: Learning of the SOM was performed with four morphometric parameters as the inputs and a two-dimensional output of 10 neurons. The map with initial radius of 3, final neighborhood radius of 0.01 and 1000 iterations shows the best performance for yardang identification. The output map units from SOM are just numbers and need to be analyzed and interpreted. Studying the spatial relationship between different map units along with their morphometric parameters using feature space analysis allowed us to interpret and label them corresponding to morphometric features e.g. yardangs. Major morphometric features (corridor, planar and yardang) are identified in two-dimensional feature space plots of mean values of maximum curvature (x-axis) and minimum one (y-axis). The analysis of the results and corresponding satellite images shows the effectiveness of the method to identify the overall pattern of the morphometric features in the Lut desert. It is clear that the pattern of yardangs and their corridors running from NNW to SSE direction is parallel to the prevailing wind known as “wind of 120 days or Bad-i-sad-o-bist rooz-e Systan.Conclusion: The results show that digital terrain analysis methods applied on SRTM in the proposed way in this study could extract morphotectonic features from SRTM along Dehshir fault and they contributed to the tectonic interpretation of the study area. According to the evidences extracted from SRTM along Dehshir fault, for example: fault traces, deflected and beheaded drainages, pattern of network drainages, erosion surfaces of uplifted and back erosion of drainages because of the location (situated in quaternary landforms), they are neotectonic evidences for activity of Dehshir fault during quaternary. Our results reveal that the morphometric analysis and feature space analysis of the first and second order derivatives of DEM such as slope, cross-sectional curvature, maximum curvature and minimum curvature led to the description of SOM outputs as yardangs, corridors and planar. Slope allows distinguishing among morphometric features in sub levels.The optimal self organizing map with suitable learning parameters should be selected for feature identification. The lowest average quantization error of 0.1040 was achieved with an initial radius of 3, a final neighborhood radius of 0.01 and 1000 iterations. Result of this method revealed that from the total 6481 km2 coverage of the study area, about 2035 km2 (34%) are classified as yardang while corridors, in total cover 2732 km2 (43%)

Open access Mega journals represent an increasingly important part of the scholarly communications. The current research aims to introduce eight international Mega journals and to investigate their performance in a five-year time span (2012-2016). The current study is an applied research in terms of objectives while it is a descriptive study in terms of data analysis and conducted using scientometric indicators. Research population comprised of 195011 articles published in eight Mega journals during 2012-2016 and indexed by the Web of Science. Data was collected using three products of the Clarivate Analytics, namely Web of Science, Journal Citation Reports as well as InCites. Data analysis was conducted using Microsoft Excel. Results of the study showed 101% growth in 2016 compared to 2012 with regard to publications in eight studied Mega journals. A total of 195011 articles have been published in eight Mega journals during 2012-2016. Considering article processing fees of each journal, we can assume that roughly 300 million USD has been charged by eight Mega journals. Papers published in Mega journals were found to have higher citation impact compared with the average of the Web of Science database. Results revealed that two Mega journals, namely PLoS One and Scientific Reports, were accountable for 91. 6% of total publications and 96. 1% of total citations. The highest share of publications in eight Mega journals was found to be in the following research categories: Biochemistry & Molecular Biology, Multidisciplinary Sciences, Neurosciences, Oncology and Immunology. Moreover, the US, China, the UK, Germany and Japan had the highest number of publications in eight studied Mega journals. Reputable publishers have identified a market demand for publication of scholarly output and are offering their services using open access Mega journals. The Mega journal market seems likely to keep increasing in the future.

The importance of planning for the future, together with the efforts of developed countries for continuous progress, has encouraged many researchers to anticipate the skills needed to live and work in the future through futures study. Meanwhile, it is necessary that the Technical and Vocational Training Organization (TVTO) as the leadership of the mainstream of skill training in Iran to try to study the future skills more than other educational institutions. The present study with understanding of the importance of futures study on skills training for prosperity of individuals and future societies, has reviewed the most recent studies in the world. The results of this study show that sense making, novel and adaptive thinking, trans disciplinarily, social intelligence, new media literacy, computational thinking, cognitive load management, design mindset, cross cultural competency, virtual collaboration are the most important skills needed to face the future world of work. Also, the skills needed in the future can be classified into three broad categories: technological skills, social and emotional skills, and excellent cognitive skills.

Today many nations are facing increasing unwanted problems concerning their Mega-poles. Rural migration, destructive rural-urban relation and overpopulation are pushing them toward an infernal point. Any effort for resolving existing crisis will be fruitless unless the present conditions being reviewed and removed. Unemployment, social injustice, and high rate of urban violence are among the most inconvenient impacts of many Mega-poles. Migration is considered as the main cause of enlarging urban centres. Therefore, it is necessary to act in both regional and national level managing the flow of newcomers. This paper aims to present different aspects of migration effects on large urban centres and real basis of both rural population movement and urban overpopulation.

The purpose of this study was to analyze the current state and SWOT of hosting Mega sporting event in Iran. Research method and type were descriptive and fundamental, respectively. Results showed that currently Iran has not good situation for hosting Mega sport events, but had a potential for hosing and holding Mega sport events. Support of Iranian people, security, tourism attraction, geographic situation, infrastructures and economic potential were identified as strengths points. Some weaknesses were transportation system, infrastructures and sport venues, human resource, management, economic sanctions by western countries, unstable government support, and lack of international lobbying power. Some opportunities were development of infrastructure, growth of the tourism industry, increased Iranian prestige, and development of social relationship. Finally, some threats included strong rivals, cost pressure of the event, uncertain management, and losing government support.

There is no doubt that Mega cities have a main share in countries' GDP. On the other hand, excessive trading interaction and reconstruction of global economy, especially after the USSR decomposition, lead the world to a new phenomenon called globalization.Economic globalization is a phenomenon completely in relation with Mega cities competition over human, fiscal, technological and capital resources. Better quality of life and offering a higher level of welfare was the most important tool being used by city managers in this competition. Mega cities have promoted the level of welfare of their inhabitant. Also they have a very positive effect on the country's economic development. Nevertheless it is just the positive side of the coin, the negative side will reveal by the time we compare the wealth generated by Mega cities and their role on global warming, world climate change and increase of the country's ecological footprint. This paper debates on pros and cons of Mega cities by comparing their positive and negative effect on our life using a dialectic approach.