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Aim
Intraperitoneal drains are often placed during emergency colorectal surgery. However, there is a lack of evidence supporting their use. This study aimed to describe the efficacy and safety of intraperitoneal drain placement after emergency colorectal surgery.
Method
COMPlicAted intra‐abdominal collectionS after colorectal Surgery (COMPASS) is a prospective, international, cohort study into...
We investigated the transport properties in magnetic tunnel junctions with Fe nanoparticles (nominal thickness: t Fe =0.17–1.37nm) and double MgO barriers. A disappearance of the hysteresis of the Fe nanoparticle magnetization due to its room-temperature superparamagnetic behavior and a large increase in the electrical resistance due to the Coulomb blockade effect were observed for t Fe...
Since IPv6 is designed for fixed hosts, the extension of IPv6 to mobile IPv6 is necessary for management in mobile and wireless environment. In this paper, we present an assessment of current mobile IPv6 performance by the means of the network simulator ns-2 and its extension MOBIWAN. Three different tests have been carried out with different traffic types on different network topologies. We investigate...
We present an approach to model-based voice activity detection (VAD) for harsh environments. By using mel-frequency cepstral coefficients feature extracted from clean and noisy speech samples, an artificial neural network is trained optimally in order to provide a reliable model. There are three main aspects to this study: First, in addition to the developed model, recent state-of-the-art VAD methods...
This paper describes a software system to track the reoccurrences of objects in multi-camera visual surveillance. Specifically, it is designed for after-event tracking of people to aid in a typical investigation of events occurring in a certain location at a certain time. This is a nontrivial problem because of several aspects that influence the appearance of scenes and people, such as changes in...
This paper presents a method to speed up support vector classification, especially important when data is high-dimensional. Unlike previous approaches which focus on less support vectors, we partition the data space into local regions, and perform approximation by linear functions. The experimental results on 31 datasets show that the performance degrades marginally, while the speedup is significant,...
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