Activity recognition is a hot topic in context-

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Motor area maps serve as markers of upper motor neuron damage in ALS. Further research may elucidate the pathogenic mechanisms of the neurodegenerative process and aid in development of diagnostic and prognostic markers.

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We propose a novel reasoning engine for context-aware ubiquitous computing middleware in this paper. Our reasoning engine supports both rulebased reasoning and machine learning reasoning. Our main contribution is to utilize feature selection method to filter the low-level contexts which are not useful for certain special high-level context reasoning. As a result, rules and learning models in the reasoning engine's knowledge base are refined since useless context have been filtered. The merits of our proposed reasoning engine are described in details in this paper.

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Location awareness is the key capability of mobile computing applications. Despite high demand, indoor location technologies have not become truly ubiquitous mainly due to their requirements of costly infrastructure and dedicated hardware components. Received signal strength (RSS) based location systems are poised to realize economical ubiquity as well as sufficient accuracy for variety of applications. Nevertheless high resolution RSS based location awareness requires tedious sensor data collection and training of classifier which lengthens location system development life cycle. We present a rapid development approach based on online and incremental learning method which significantly reduces development time while providing competitive accuracy in comparison with other methods. ConSelFAM (Context-aware, Self-scaling Fuzzy ArtMap) extends the Fuzzy ArtMap neural network system. It enables on the fly expansion and reconstruction of location systems which is not possible in previous systems.

Hip arthroplasty is a common surgery, the success of which largely depends on its planning. Traditionally, arthroplasty planning performed on X-ray film, but this method has many shortcomings, including the well-known systematic repression for analogue X-ray systems to digital. The wide range of implant templates for the planning available in numerous of foreign special planning programs for arthroplasty, but all of them are very expensive. A team of authors from Sechenov First Moscow State Medical University, Lomonosov Moscow State University and Petrovsky National Research Centre of Surgery developed an original computer program for hip arthroplasty planning that allows to plan not only in the DICOM format, but also in photographs of traditional X-ray film. In the process of their work, it has been proved that the projection distortion when photographing X-ray applied to the X-ray viewer without a tripod is 1.95%. Practical testing of the planning program was carried out with 316 total hip arthroplasty surgeries. It turned out that for acetabular component the number of matches was 301 (95.3%), and for femoral components - 304 (96.2%). There were no cases of changing the type of components during surgeries. Thus, the created domestic import-substituting planning program allows working with a variety of image formats and making it possible to digitize X-ray film.