-time broadcasting on UK free-to-air television channels. Methods Occurrence of alcohol imagery (actual use, implied use, brand appearances or other reference to alcohol) was measured in all broadcasting on the five most popular UK television stations between 6 and 10 p.m. during 3 weeks in 2010, by 1-min interval

The R-tree, one of the most popular access methods for rectangles, is based on the heuristic optimization of the area of the enclosing rectangle in each inner node. By running numerous experiments in a standardized testbed under highly varying data, queries and operations, we were able to design

illumination cone (based on Euclidean distance within the image space). We test our face recognition method on 4050 images from the Yale Face Database B; these images contain 405 viewing conditions (9 poses ¢ 45 illumination conditions) for 10 individuals. The method performs almost without error, except

Amazon.com and Netflix have made recommender systems a salient part of their websites. Such systems are particularly useful for entertainment products such as movies, music, and TV shows. Many customers will view the same movie, and each customer is likely to view numerous different movies. Customers

popular views of inequality. While respondents agree with abstract inegalitarian principles-i.e. income differentiation based on merit-they are concerned with specific instances of inequality, especially poverty and wealth. These are criticized because they are seen to imply intolerable deviations, both

Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data instances themselves. In this paper, we demonstrate how the popular k-means clustering algorithm can be pro tably modi- ed

sensitive hashing scheme for a collection of subsets with the set similarity measure sim(A, B) = |A∩B| |A∪B |. We show that rounding algorithms for LPs and SDPs used in the context of approximation algorithms can be viewed as locality sensitive hashing schemes for several interesting collections of objects

User Generated Content (UGC) is re-shaping the way people watch video and TV, with millions of video producers and consumers. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and developing new business opportunities

Abstract Purpose -Although the way in which, for example, substance use problems are conceived and reacted to (by experts and treatment professionals but also by the environment), can have vast consequences for those directly or indirectly concerned, there is little systematic knowledge about how various preferred approaches differ between types of problems and sociocultural settings. In an ambition to at least partly mend this gap, this paper aims to compare how the general public in Sweden, Finland, and Canada appraise four generically different approaches to dealing with substance use problems, as these are applied to problem use of alcohol, cannabis, heroin, and cigarettes. Design/methodology/approach -The paper uses data from three national surveys, aimed at uncovering how representative population samples from Sweden, Finland, and Canada perceive and understand the character of, and the proper way of handling, various addictive problems. Data from these surveys have been used to discern and operationalize four basic "models of helping and coping" as these have been outlined by

corresponding to the NetRating's list of popular Web sites using the update messages collected by the RouteViews and RIPE-NCC servers. Our results suggest that operators can engineer their networks under the assumption that the BGP advertisements associated with most of the traffic are reasonably stable.