Integrated diagnostics: proceedings from the 9th biennial symposium of the International Society for Strategic Studies in Radiology

The International Society for Strategic Studies in Radiology held its 9th biennial meeting in August 2011. The focus of the programme was integrated diagnostics and massive computing. Participants discussed the opportunities, challenges, and consequences for the discipline of radiology that will likely arise from the integration of diagnostic technologies. Diagnostic technologies are increasing in scope, including advanced imaging techniques, new molecular imaging agents, and sophisticated point-of-use devices. Advanced information technology (IT), which is increasingly influencing the practice of medicine, will aid clinical communication and the development of “population images” that represent the phenotype of particular diseases, which will aid the development of diagnostic algorithms. Integrated diagnostics offer increased operational efficiency and benefits to patients through quicker and more accurate diagnoses. As physicians with the most expertise in IT, radiologists are well placed to take the lead in introducing IT solutions and cloud computing to promote integrated diagnostics. To achieve this, radiologists must adapt to include quantitative data on biomarkers in their reports. Radiologists must also increase their role as participating physicians, collaborating with other medical specialties, not only to avoid being sidelined by other specialties but also to better prepare as leaders in the selection and sequence of diagnostic procedures

Integrated diagnostics: proceedings from the 9th biennial symposium of the International Society for Strategic Studies in Radiology

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Indoor outdoor detection

Abstract. This thesis shows a viable machine learning model that detects Indoor or Outdoor on smartphones. The model was designed as a classification problem and it was trained with data collected from several smartphone sensors by participants of a field trial conducted. The data collected was labeled manually either indoor or outdoor by the participants themselves. The model was then iterated over to lower the energy consumption by utilizing feature selection techniques and subsampling techniques. The model which uses all of the data achieved a 99 % prediction accuracy, while the energy efficient model achieved 92.91 %. This work provides the tools for researchers to quantify environmental exposure using smartphones

A Survey of the European Security Market

This document synthesizes the results of the research made on the European security market. It deals with questions of interest regarding the provision of security goods and services for protecting society from terrorism and organised crime. It explores issues such as market revenues, demand and supply, industrial capabilities, technology, research and development, innovation, business strategies, competition as well as market structure, agents' conduct and economic performance. The research has been based upon desk analysis of open source information related to the security market. Economic theory and critical analysis has been applied to understand the gathered information, derive knowledge, point out key issues and assess trends and drivers that will likely shape the sector's future. The study is the outcome of the working package number 5 included in the research project A new Agenda for European Security Economics (EUSECON). This project with code number 218195 has been financed by the European Commission within the 7th European Research Framework Programme. The task has been performed by the company ISDEFE according to the scope and work plan described in the EUSECON proposal. The author wishes to express his appreciation to all the individuals that have provided input and valuable comments to this study, including anonymous referees. Any flaws or omissions contained in this document are solely the responsibility of the author

Reindeer herding as a high-level buffering mechanism : the role of climate change in a multi-causal model of the emergence of reindeer herding among the Sami of northern Sweden.

This thesis takes a critical examination of current theories of the emergence of reindeer herding, during the sixteenth and seventeenth century, amongst Sami communities in northern Sweden. This period coincides with the latter part of the Little Ice Age, a period of extremely variable climate in northern Europe, which has not been addressed in current theories of the emergence of herding. Using a bottom-up approach, gathering evidence of the nature of the environmental change and its impact on reindeer, human populations, and subsistence activities, it is suggested this had a profound effect on subsistence strategies. These impacts are considered in context to provide a multi-causal model of cultural change during this period. The evidence suggests that reindeer herding did not represent a radical and large-scale cultural change, and that Sami subsistence strategies do not fit neatly into categories of hunting or herding. The intensification of reliance on domestic reindeer emerged, from the preceding mixed economy, as a high-level buffering mechanism to cope with increased local environmental variability and a disruption In the wild reindeer popUlation, and was facilitated by interactions with the Swedish state through trade and taxation