The Use of Computer Visualization in the Analysis of Breathing Curves

Researchers in diverse domains use advanced computer techniques to describe complex entities and processes and impressively visualize those which are often unavailable for direct observation. However, one should emphasize that computer visualization conception implies more than just a convenient, impressive, or high rate information transfer. It also considers a problem of perception, processing, and further cultivation of such important personal qualities as intuition, professional "talent", and figurative thinking which are of value for experts in any domain. Computer visualization comprises traditionally such sophisticated techniques as computer graphics, animation and virtual reality. Traditionally, computer graphics has delivered strong instruments for creating, processing, and interacting with data representations. Interactive paradigm has led to emergence of a new scope within the problem of artificial intelligence, which is called cognitive computer graphics. The use of cognitive graphics allows physicians, analyzing modest volume of information, to draw significant conclusions. In whole, cognitive graphics forms a separate subfield in medical research. Visualization provides experts with data in current state of patients just to monitor their conditions continuously. In this article, we show the use of computer visualization to study characteristics (including network imprints) of such a common disease as bronchial asthma. The patients were grouped according to influence degree of psychological factors to the occurrence, progression and course stages of the disease. The study focuses on comparison and analysis of the patient' spirograms and demonstrate presence of physiological and psycho-physiological features among patients with diagnoses of bronchial asthma. In this respect computer visualization provides a solid platform for thorough research and deep analysis in spirometry

The use of computer visualization in the analysis of breathing curves

Researchers in diverse domains use advanced computer techniques to describe complex entities and processes and impressively visualize those which are often unavailable for direct observation. However, one should emphasize that computer visualization conception implies more than just a convenient, impressive, or high rate information transfer. It also considers a problem of perception, processing, and further cultivation of such important personal qualities as intuition, professional "talent", and figurative thinking which are of value for experts in any domain. Computer visualization comprises traditionally such sophisticated techniques as computer graphics, animation and virtual reality. Traditionally, computer graphics has delivered strong instruments for creating, processing, and interacting with data representations. Interactive paradigm has led to emergence of a new scope within the problem of artificial intelligence, which is called cognitive computer graphics. The use of cognitive graphics allows physicians, analyzing modest volume of information, to draw significant conclusions. In whole, cognitive graphics forms a separate subfield in medical research. Visualization provides experts with data in current state of patients just to monitor their conditions continuously. In this article, we show the use of computer visualization to study characteristics (including network imprints) of such a common disease as bronchial asthma. The patients were grouped according to influence degree of psychological factors to the occurrence, progression and course stages of the disease. The study focuses on comparison and analysis of the patient' spirograms and demonstrate presence of physiological and psycho-physiological features among patients with diagnoses of bronchial asthma. In this respect computer visualization provides a solid platform for thorough research and deep analysis in spirometry

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

Modern network science has become a prominent concept, attracting diverse scientific societies to solve a wide spectrum of theoretical and practical problems. Tourism is a sphere wherein the outlines of the network’s scope are distinct. In the study, the network approach was applied in its dual form for both network-like regional tourism data (NLRTD) and network-unlike regional tourism data (NURTD), to explore the tourism destination of Baikal natural territory, Russia, in regard to the challenges of the general sustainability of regional socio-ecological systems. The aim of the study is to elaborate a comprehensive network platform to harmonize such complex and fragile systems as Baikal natural territory. Saturated with networking ideology, the approach spans a huge set of interacting social, technological and ecological elements of the comprehensive system in order to support its functionality and sustainability in general. Particularly, the paper utilizes data from interviews done in Olkhon island (2017–2018), and publicly available textual, spatial and temporal data. NLRTD with pertinent networkization procedures was utilized in transportation schemes, while the NURTD concept implies the networkalization of landscape and land use maps. The platform provides researchers and stakeholders with concentrated information which might be not only effectively processed, but also intelligible, and correctly compared and implemented in contiguous spheres

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

Modern network science has become a prominent concept, attracting diverse scientific societies to solve a wide spectrum of theoretical and practical problems. Tourism is a sphere wherein the outlines of the network’s scope are distinct. In the study, the network approach was applied in its dual form for both network-like regional tourism data (NLRTD) and network-unlike regional tourism data (NURTD), to explore the tourism destination of Baikal natural territory, Russia, in regard to the challenges of the general sustainability of regional socio-ecological systems. The aim of the study is to elaborate a comprehensive network platform to harmonize such complex and fragile systems as Baikal natural territory. Saturated with networking ideology, the approach spans a huge set of interacting social, technological and ecological elements of the comprehensive system in order to support its functionality and sustainability in general. Particularly, the paper utilizes data from interviews done in Olkhon island (2017–2018), and publicly available textual, spatial and temporal data. NLRTD with pertinent networkization procedures was utilized in transportation schemes, while the NURTD concept implies the networkalization of landscape and land use maps. The platform provides researchers and stakeholders with concentrated information which might be not only effectively processed, but also intelligible, and correctly compared and implemented in contiguous spheres