Giving a state a bad name? Kyrgyzstan and the risk of state failure

The article discusses the possible state failure of Kyrgyzstan and the implications of the label of a failed sate. A brief history of the events that have led to failed state status include the Tulip Revolution in 2005, political protests, presidential election protests, and ethnic violence. The response of the U.S., the European Union, and Russia to the events and the national interests of labeling the state as failed are discussed. It is suggested that instead of establishing security other countries have labeled Kyrgyzstan as a failed state which has led to a lack of political legitimacy, an expansion of neoliberalism, and has dangerous implications for the success of the country.

Mobile phone sensing systems : a survey

Mobile phone sensing is an emerging area of interest for researchers as smart phones are becoming the core communication device in people's everyday lives. Sensor enabled mobile phones or smart phones are hovering to be at the center of a next revolution in social networks, green applications, global environmental monitoring, personal and community healthcare, sensor augmented gaming, virtual reality and smart transportation systems. More and more organizations and people are discovering how mobile phones can be used for social impact, including how to use mobile technology for environmental protection, sensing, and to leverage just-in-time information to make our movements and actions more environmentally friendly. In this paper we have described comprehensively all those systems which are using smart phones and mobile phone sensors for humans good will and better human phone interaction.

Correspondences: A personal photographic journey between past/Iran and present/Australia

This project is an autobiographical photography series entitled: Correspondences; A personal photographic journey between past/Iran and present/Australia. This series of photographs are partly influenced by being born at the beginning of 1979 Islamic revolution in Iran . Also, having the experience of living almost thirty years in Iran and immigrating to Australia afterwards. This display consists of presentation of photographic images and will be presented in two series.

A framework for mobile elearning (mLearning) with analytical decision model

Mobile eLearning (mLearning) can create a revolution in eLearning with the popularity of smart mobile devices and Application. However, contents are the king to make this revolution happen. Moreover, for an effective mLearning system, analytical aspects such as, quality of contents, quality of results, performance of learners, needs to be addressed. This paper presents a framework for personal mLearning. In this paper, we have used graph-based model called bipartite graph for content authentication and identification of the quality of results. Furthermore, we have used statistical estimation process for trustworthiness of weights in the bipartite graph using confidence interval and hypothesis test as analytical decision model tool.