No abstract

Studies examining recovery through the service users' perspectives have mainly included persons with schizophrenia or bipolar disorder. Giving voice to those with borderline personality disorder (BPD) would enrich our understanding of recovery, as their specific experiences may bring new dimensions, obstacles and facilitators. The objective of this study was to qualitatively capture the experience of recovery in women with BPD. Participants were women between 18 and 65 years old who had a diagnosis of BPD and completed at least 2 years in a program for persons with BPD. During the first meeting, they produced a picture collage, followed by an interview on their experience of recovery. The second meeting was a phone interview to discuss new thoughts. In addition, their medical records were reviewed. A thematic analysis of the interviews was conducted and organized with the Person-Environment-Occupation model. Although recovery was not the best term to name their experience, they all talked about a process towards stability and wellbeing (n = 12). Dimensions of recovery included, for example, letting go of the past (person), being involved in meaningful activities (occupation) and having healthy relationships (environment). Facilitators included social support and participation in a specialized therapy program. The main obstacle was unstable family relationships. The findings from this study showed similar dimensions to previous recovery studies, new perspectives on certain dimensions, as well as new ones. They also reinforced the importance to incorporate intervention outcomes that target the person with BPD, their social environment and meaningful occupations.

Considering mortality, cluster B personality disorder is a severe condition, is highly prevalent in the population, and is associated with heavy health care services utilisation, especially in emergency settings.

Abstract-Most modern cameras use a color filter array on their sensor in order to capture color images. This array is composed of red, green and blue filters and so, each pixel on the sensor lacks two color channels which can be retrieved by a process called demosaicing. In this paper, we propose a new demosaicing method for plenoptic cameras. This type of cameras has become a growing trend and their captured raw images have a particular lenslet structure which must be taken into account to retrieve the sub-aperture images which compose the light field. First, we analyze and describe the flaws of the state-of-the-art light field decoding pipeline. To better identify the different sources of artifacts, our analysis is performed by generating ideal lenslet images from synthetic light fields and use them as input of the decoding pipeline. Then, we detail a new method of demosaicing based on the provided white lenslet images serving as guide. Furthermore, we show that this kind of guided interpolation can be useful on other steps of the decoding pipeline. Finally, the quality of the resulting sub-aperture images is assessed for both synthetic and real light fields using visual comparisons as well as objective metrics.