The aim of this research is to automate an analysis of the EGFR gene as a whole, and especially an analysis of those exons with clinically identified microdeletion mutations which are recorded with non-mutated nucleotides in a long chains of a, c, t, g nucleotides, and “-” (microdeletion) in the NCBI database or other sites. In addition, the developed system can analyze data resulting from EGFR gene DNA sequencing or DNA extraction for a new patient and identify regions potential microdeletion mutations that clinicians need to develop new treatments. Classifiers, trained using limited set of known mutated samples, are not capable of exact identification of mutations and their distribution within the sample, especially for previously unknown mutations. Consequently, results obtained by classification, are not reliable to select therapy in personalized medicine. Personalized medicine demands exact therapy, which can be designated only if all combinations of EGFR gene exon mutations are known. We propose computing system/model based on two modules: The first module includes training of knowledge based radial basis (RADBAS) neural network using training set generated with combinatorial microdeletion mutations generator. The second module has two modes of operation: the first mode is offline simulation including testing of the RADBAS neural network with randomly generated microdeletion mutations on exons 18th, 19th, and 20th; and the second mode is intended for application in real time using sample patients’ data with microdeletion mutations extracted online from EGFR mutation database. Both modes include preprocessing of data (extraction, encoding, and masking), identification of distributed mutations (RBNN encoding, counting of exon mutations distribution and counting of EGFR gene mutation distribution), and standard reporting. The system has been implemented in MATLAB/SIMULINK environment.

Interactive digital storytelling becomes a form of information presentation in many fields. Its application spans from media industry through digital cultural heritage, serious games, information visualization to contemporary theater and visual arts. In order to develop a new digital storytelling methodology hyper-storytelling, we engaged a team of multidisciplinary experts from computer science, visual arts, literature, film directing, psychology, communicology and human computer interaction. In this paper we present the first findings of this team in form of guidelines for interactive digital storytelling presentations of cultural heritage.

Commercial sea routes joining Europe with other cultures are vivid examples of cultural interaction. In this work, we present a serious game which aims to provide better insight and understanding of seaborne trade mechanisms and seafaring practices in the eastern Mediterranean during the Classical and Hellenistic periods. The game incorporates probabilistic geospatial analysis of possible ship routes through the re-use and spatial analysis from open GIS maritime, ocean, and weather data. These routes, along with naval engineering and sailing techniques from the period, are used as underlying information for the seafaring game. This work is part of the EU-funded project iMareCulture whose purpose is in raising the European identity awareness using maritime and underwater cultural interaction and exchange in the Mediterranean sea.

Introduction: This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. Material and methods: The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. Results: The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. Conclusion: The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.