Smartphone Augmented Reality Applications for Tourism

Invisible, attentive and adaptive technologies that provide tourists with relevant services and information anytime and anywhere may no longer be a vision from the future. The new display paradigm, stemming from the synergy of new mobile devices, context-awareness and AR, has the potential to enhance tourists’ experiences and make them exceptional. However, effective and usable design is still in its infancy. In this publication we present an overview of current smartphone AR applications outlining tourism-related domain-specific design challenges. This study is part of an ongoing research project aiming at developing a better understanding of the design space for smartphone context-aware AR applications for tourists

Retirement and Household Expenditure in Turbulent Times

We examine the impact of own and spousal retirement on household expenditure during a period of financial deterioration. We use detailed household data covering the period 2009-2016 in Greece, during which the country experienced a severe financial crisis that affected retirees in ways that were not anticipated. Similar to Moreau and Stancanelli (2015) our empirical strategy allows for the household expenditure to depend on both own and spousal retirement status. We employ an instrumental variable identification strategy by exploiting variation coming from the early retirement age threshold. Our Two-Stage Least Squares estimates show that, even after controlling for income, total expenditure drops significantly when the husband retires and as he becomes older. The reduction is stronger in 2010, when the first wave of austerity plans, including measures affecting pensioners were announced, and after 2014 when horizontal pension cuts were implemented. Expenditure does not change significantly when the wife retires neither the older she gets. A drop-in expenditure for clothing, transport, housing and communication drives the overall reduction in expenditure. Overall, our results can have significant policy implications in the design of structural pension reforms in a period of financial hardship

Protein signatures using electrostatic molecular surfaces in harmonic space

We developed a novel method based on the Fourier analysis of protein molecular surfaces to speed up the analysis of the vast structural data generated in the post-genomic era. This method computes the power spectrum of surfaces of the molecular electrostatic potential, whose three-dimensional coordinates have been either experimentally or theoretically determined. Thus we achieve a reduction of the initial three-dimensional information on the molecular surface to the one-dimensional information on pairs of points at a fixed scale apart. Consequently, the similarity search in our method is computationally less demanding and significantly faster than shape comparison methods. As proof of principle, we applied our method to a training set of viral proteins that are involved in major diseases such as Hepatitis C, Dengue fever, Yellow fever, Bovine viral diarrhea and West Nile fever. The training set contains proteins of four different protein families, as well as a mammalian representative enzyme. We found that the power spectrum successfully assigns a unique signature to each protein included in our training set, thus providing a direct probe of functional similarity among proteins. The results agree with established biological data from conventional structural biochemistry analyses.Comment: 9 pages, 10 figures Published in PeerJ (2013), https://peerj.com/articles/185