Application of system directions, facilities and methods of individualization preparation of sportsmen in playing types of sport in structural circannual loop of preparation constructs

Basic directions conception of individualization of training process are presented in playing types of sport. Distributing of facilities is rotined in individual programs of preparation of sportsmen. Depending on a leading factor and period of individual dynamics of playing effectiveness correlation of facilities varies. On development of leading factors 60-80% is taken to time, on development of backward - 20-40%. In every micro cycle 30% taken time on individual preparation of players

Enhancements in Functionality of the Interactive Visual Explorer for ATLAS Computing Metadata

The development of the Interactive Visual Explorer (InVEx), a visual analytics tool for the computing metadata of the ATLAS experiment at LHC, includes research of various approaches for data handling both on server and client sides. InVEx is implemented as a web-based application which aims at the enhancing of analytical and visualization capabilities of the existing monitoring tools and facilitates the process of data analysis with the interactivity and human supervision. The current work is focused on the architecture enhancements of the InVEx application. First, we will describe the user-manageable data preparation stage for cluster analysis. Then, the Level-of-Detail approach for the interactive visual analysis will be presented. It starts with the low detailing, when all data records are grouped (by clustering algorithms or by categories) and aggregated. We provide users with means to look deeply into this data, incrementally increasing the level of detail. Finally, we demonstrate the development of data storage backend for InVEx, which is adapted for the Level-of-Detail method to keep all stages of data derivation sequence

Enhancements in Functionality of the Interactive Visual Explorer for ATLAS Computing Metadata

The development of the Interactive Visual Explorer (InVEx), a visual analytics tool for ATLAS computing metadata, includes research of various approaches for data handling both on server and client sides. InVEx is implemented as a web-based application which aims at the enhancing of analytical and visualization capabilities of the existing monitoring tools and facilitates the process of data analysis with the interactivity and human supervision. The current work is focused on the architecture enhancements of the InVEx application. First, we will describe the user-manageable data preparation stage for cluster analysis. Then, we will present the Level-of-Detail approach for the interactive visual analysis. It starts with the low detailing, when all data records are grouped (by clustering algorithms or by categories) and aggregated, we provide users with means to look deeply into this data, incrementally increasing the level of detail. And finally, the development of data storage backend for InVEx, which is adapted for the Level-of-Detail method to keep all stages of data derivation sequence

Enhancements in Functionality of the Interactive Visual Explorer for ATLAS Computing Metadata

The development of the Interactive Visual Explorer (InVEx), a visual analytics tool for the computing metadata of the ATLAS experiment at LHC, includes research of various approaches for data handling both on server and client sides. InVEx is implemented as a web-based application which aims at the enhancing of analytical and visualization capabilities of the existing monitoring tools and facilitates the process of data analysis with the interactivity and human supervision. The current work is focused on the architecture enhancements of the InVEx application. First, we will describe the user-manageable data preparation stage for cluster analysis. Then, the Level-of-Detail approach for the interactive visual analysis will be presented. It starts with the low detailing, when all data records are grouped (by clustering algorithms or by categories) and aggregated. We provide users with means to look deeply into this data, incrementally increasing the level of detail. Finally, we demonstrate the development of data storage backend for InVEx, which is adapted for the Level-of-Detail method to keep all stages of data derivation sequence

Surgery for multiple cerebral aneurysms: Literature review and case report [хирургическое Лечение множественных аневризм сосудов гоЛовного мозга: оБзор Литературы и кЛиническое наБЛюдение]

We report a case of simultaneous microsurgical clipping of 5 cerebral aneurysms in a patient with multiple aneurysms of the anterior brain. We analyzed the existing treatment approaches to multiple cerebral aneurysms, including endovascular isolation, microsurgical clipping, as well as surgical tactics in case of subarachnoid hemorrhage. We covered the recommendations for screening, surgical risks, and approaches to aneurysm isolation (single-stage and multiple-stage). Using our own experience (since no strict guidelines are currently available), we concluded that it is important to screen cerebral vessels of all close relatives of patients with multiple and familial cerebral aneurysms. © 2021 ABC-press Publishing House. All right reserved