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It is speculated that virtual environments (VE) might be used as a training tool in brain injury rehabilitation. The rehabilitation process often involves practicing so-called instrumental activities of daily living (IADL), such as shopping, cooking, and using a telephone. If a brain injury patient is to practice such activities in a VE, the patient must be able to navigate the viewpoint and inter

Potentially large storage requirements and long initial decoding delays are two practical issues related to the decoding of low-density parity-check (LDPC) convolutional codes using a continuous pipeline decoder architecture. In this paper, we propose several reduced complexity decoding strategies to lessen the storage requirements and the initial decoding delay without significant loss in perform

Two methods (including randomization) are studied for increasing the uncertainty concerning n ³ 1 transmitted messages and an applied key. Furthermore, it is shown that encryptions which perform equally well for n = 1 may perform differently when n > 1.

Many cluster studies have focused on growth regions and industries covering only the early phases of cluster development. Little attention, however, has been paid to the renewal of clusters in old industrial regions. The aim of the paper is to address the question of how clusters renew themselves in such regions and how they adjust to changes in their environment. After identifying relevant factor

Om en byggnads brandskydd utformas med andra lösningar och metoder än vad kraven och de allmänna råden i BBR innebär, frångås en så kallad förenklad dimensionering och analytisk dimensionering blir aktuell. Detta sker ofta genom ett tekniskt byte, där en förändring av brandskyddet sker genom att en eller flera skyddsåtgärder byts ut. Vid analytisk dimensionering måste projektören uttryckligen visa

Lyapunov methods and density functions provide dual characterizations of the solutions of a nonlinear dynamic system. This work exploits the idea of combining both techniques, to yield stability results that are valid for almost all the solutions of the system. Based on the combination of Lyapunov and density functions, analysis methods are proposed for the derivation of almost input-to-state stab

CONTEXT: The well-known side-effect profile of androgen-deprivation therapy (ADT) has significant quality-of-life (QoL) implications. Intermittent androgen deprivation (IAD) alternates androgen blockade with treatment cessation to allow hormonal recovery between treatment cycles, thus potentially improving tolerability and QoL. OBJECTIVE: To evaluate available evidence regarding the efficacy and t

To describe changes in the epidemiology of out-of-hospital cardiac arrest in Sweden with the emphasis on the younger age groups.

Monolithic neural networks may be trained from measured data to establish knowledge about the process. Unfortunately, this knowledge is not guaranteed to be found and – if at all – hard to extract. Modular neural networks are better suited for this purpose. Domain-ordered by topology, rule extraction is performed module by module. This has all the benefits of a divide-and-conquer method and opens