Canine recurrent flank alopecia: a synthesis of theory and practice

Canine recurrent flank alopecia is a non-inflammatory, non-scarring alopecia of unknown etiology and has a visually striking clinical presentation. Although this disease entity is relatively common in the northern hemisphere, there is only scant information in the literature regarding case descriptions. The aim of this article was to review the literature and to describe clinical presentations recognized in practice, which are not always extensively documented in the literature

Multi-loop quality scalability based on high efficiency video coding

Scalable video coding performance largely depends on the underlying single layer coding efficiency. In this paper, the quality scalability capabilities are evaluated on a base of the new High Efficiency Video Coding (HEVC) standard under development. To enable the evaluation, a multi-loop codec has been designed using HEVC. Adaptive inter-layer prediction is realized by including the lower layer in the reference list of the enhancement layer. As a result, adaptive scalability on frame level and on prediction unit level is accomplished. Compared to single layer coding, 19.4% Bjontegaard Delta bitrate increase is measured over approximately a 30dB to 40dB PSNR range. When compared to simulcast, 20.6% bitrate reduction can be achieved. Under equivalent conditions, the presented technique achieves 43.8% bitrate reduction over Coarse Grain Scalability of the SVC - H.264/AVC-based standard

The foregone risk premium: a communicative and practical method for the evaluation of risk-return profiles in agriculture

Risk considerations have become increasingly important in nowadays agriculture, due to a variety of reasons. Surprisingly, the practice of formalized risk management is not widespread despite the huge amount of scientific literature on this topic. This discrepancy between risk science and extension is described by many authors. This paper presents a communicative method, rooted in financial economics, to evaluate risk-return profiles in a way that is communicative for individual farmers. The method is derived from the modern portfolio theory, in which individual assets are implicitly compared to the risk-return trade-off of that asset with the highest Sharpe ratio. We use this idea to compare individual risk-return profiles to a particular benchmark. The method can be used for evaluating different risk-return profiles of different farms, different risk management instruments and different production systems. To illustrate the communicative nature of our method, it is applied to evaluate risk-return profiles of conventional versus organic cropping systems.Risk and Uncertainty,

On an evaluation of transformation languages in a fully XML-driven framework for video content adaptation

Bitstream Structure Descriptions (BSDs) allow taking the complexity of transforming scalable bitstreams from the compressed domain to the semantic domain. These descriptions are an essential part of an XUL-driven video adaptation framework. The performance of a BSD transformation engine is very important in such an architecture. This paper evaluates the efficiency of XML-based transformation languages in our video adaptation framework. XSLT, STX, and a hybrid solution are compared to each other in terms of execution times, memory consumption, and user-friendliness. Our experiments show that STX is the preferred solution when speed and low-memory are important. The hybrid solution is competitive in terms of memory consumption and is more user-friendly than STX. Although XSLT is relative fast, its memory consumption is very high

Optimal H.264/AVC video transcoding system

This paper presents an efficient receiver-aware video transcoding system that systematically chooses the optimal transcoding operation from multiple options while meeting network and user constraints. Multi-objective optimization is used to select the best transcoding method that minimizes transcoding complexity and memory usage while ensuring the client constraints of bitrate and requested quality are fulfilled

Ultra high definition video decoding with motion JPEG XR using the GPU

Many applications require real-time decoding of highresolution video pictures, for example, quick editing of video sequences in video editing applications. To increase decoding speed, parallelism can be exploited, yet, block-based image and video coding standards are difficult to decode in parallel because of the high number of dependencies between blocks. This paper investigates the parallel decoding capabilities of the new JPEG XR image coding standard for use on the massively-parallel architecture of the GPU. The potential of parallelism of the hierarchical frequency coding scheme used in the standard is addressed and a parallel decoding scheme is described suitable for real-time decoding of Ultra High Definition (4320p) Motion JPEG XR video sequences. Our results show a decoding speed of up to 46 frames per second for Ultra High Definition (4320p) sequences with high-dynamic range (32-bit/ 4: 2: 0) luma and chroma components