Does risk of progression from Barrett’s esophagus to esophageal adenocarcinoma change based on the number of non-dysplastic endoscopies?

Funding: This study was funded in full by the National Institutes of Health, grant number (NIH P30DK056338‐16). The Northern Ireland Barrett’s register was funded by the UK Medical Research Council, Cancer Focus Northern Ireland (formerly the Ulster Cancer Foundation), NI HSC R&D Office, and Cancer Research UK. The Northern Ireland Cancer Registry is funded by the Public Health Agency.Peer reviewedPostprin

THE CHANGING ECONOMIC SPATIAL STRUCTURE OF EUROPE

Many theoretical and practical works aim at describing the spatial structure of Europe, where spatial relations have undergone continuous change. This article gives an overview of models describing the spatial structure of Europe. Their diversity is highlighted by listing of these models, without any claim to completeness. Our study aims at describing the economic spatial structure of Europe with bi-dimensional regression analysis based on the gravitational model. With the help of the gravity model, we get a spatial image of the spatial structure of Europe. With these images, we can justify the appropriateness of the models based on different methodological backgrounds by comparing them with our results. Our goal is not to create and show a new model that overwrites the existing ones, but rather to contribute to understanding the European spatial structure through a new methodological approach

Mobile Robot Localization using Panoramic Vision and Combinations of Feature Region Detectors

IEEE International Conference on Robotics and Automation (ICRA 2008, Pasadena, California, May 19-23, 2008), pp. 538-543.This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a place. This type of representation permits a reliable and distinctive environment modeling. The performance of the proposed approach is evaluated using a database of panoramic images from different rooms. Additionally, we compare different combinations of complementary feature region detectors to find the one that achieves the best results. Our experimental results show promising results for this new localization method. Additionally, similarly to what happens with single detectors, different combinations exhibit different strengths and weaknesses depending on the situation, suggesting that a context-aware method to combine the different detectors would improve the localization results.This work was partially supported by USC Women in Science and Engineering (WiSE), the FI grant from the Generalitat de Catalunya, the European Social Fund, and the MID-CBR project grant TIN2006-15140-C03-01 and FEDER funds and the grant 2005-SGR-00093

Medications that relax the lower oesophageal sphincter and risk of oesophageal cancer : An analysis of two independent population-based databases

Acknowledgements We acknowledge collaboration with the Research Applications and Data Management Team lead by Ms Katie Wilde, University of Aberdeen in conducting our study. This research has been conducted using the UK Bio-bank Resource under application number 34374.Peer reviewedPostprin