BACKGROUND Occupational risk for several bloodborne viruses is attributable to unsafe injection practices. To understand injection frequency and safety, we surveyed injection rates and factors influencing injection prescription in primary health care facilities and associated health clinics in Shiraz, Iran. METHODS We used both quantitative and qualitative approaches to study the frequency an...

BACKGROUND Injection drug users represent the largest proportion of all HIV reported cases in Viet Nam. This study aimed to explore the perceptions of risk and risk behaviours among HIV-positive injection drug users, and their experiences related to safe injection and safe sex practices. METHODS This study used multiple qualitative methods in data collection including in-depth interviews, foc...

BACKGROUND We report on an exploratory qualitative study investigating drug injectors' narratives of vein damage and groin (femoral vein) injection associated with the injection of crack-heroin speedball. METHODS We undertook 44 in-depth qualitative interviews among injectors of crack-heroin speedball in Bristol and London, England, in 2006. FINDINGS The data suggest an emerging culture of ...

In three-dimensional (3-D) cluttered scenes such as foliage, deeper surfaces often are more shadowed and hence darker, and so depth and luminance often have negative covariance. We examined whether the sign of depth-luminance covariance plays a role in depth perception in 3-D clutter. We compared scenes rendered with negative and positive depth-luminance covariance where positive covariance mea...

A data depth is one of the most important concepts of nonparametric multivariate analysis. Several depth functions have been introduced since 1980. The halfspace depth is probably the most popular. This depth function has many desirable properties (they are stated in the general definition of statictical depth function). We show a way of generalization of the halfspace depth finding a broader c...

This paper studies single-image depth perception in the wild, i.e., recovering depth from a single image taken in unconstrained settings. We introduce a new dataset “Depth in the Wild” consisting of images in the wild annotated with relative depth between pairs of random points. We also propose a new algorithm that learns to estimate metric depth using annotations of relative depth. Compared to...