Partial resection of mitral leaflets during mitral valve replacement

Usually, after mitral leaflet tissue is resected, artificial chordae are used to obtain papillary muscle-to-mitral annulus continuity so as to preserve left ventricular performance. A modified technique that does not require resection of the posterior mitral leaflet and permits implantation of an adequate size of prosthesis is described

Similar Text Fragments Extraction for Identifying Common Wikipedia Communities

Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search such common communities in Wikipedia, we propose to use as an additional stage a logical-algebraic model for similar collocations extraction. With Stanford Part-Of-Speech tagger and Stanford Universal Dependencies parser, we identify the grammatical characteristics of collocation words. WithWordNet synsets, we choose their synonyms. Our dataset includes Wikipedia articles from different portals and projects. The experimental results show the frequencies of synonymous text fragments inWikipedia articles that form common information spaces. The number of highly frequented synonymous collocations can obtain an indication of key common up-to-date Wikipedia communities

THE NEURAL NET APPROACH TO THE HARD TO FORMALIZE TASKS OF ANALYSIS AND PREDICTION

The article discusses the use of neural networks and attempt to reveal the peculiarities of the different types of neural networks in the context of their application for the solution of difficult problems in formalized tasks, as well as how to improve the accuracy of forecasting financial performance, including securities prices. In particular, it discussed in more detail one of these models as a model of so-called self-organizing feature maps of Kohonen.The article discusses the use of neural networks and attempt to reveal the peculiarities of the different types of neural networks in the context of their application for the solution of difficult problems in formalized tasks, as well as how to improve the accuracy of forecasting financial performance, including securities prices. In particular, it discussed in more detail one of these models as a model of so-called self-organizing feature maps of Kohonen