Method of Myelogram Analysis in Leukocyte Recognition Systems

An approach for the formation of a myelogram was proposed. It is based on digital image processing and pattern recognition. It is used in automated analysis of blood smears and bone marrow. The proposed approach is implemented in an automated recognition system of blood cells. The effectiveness of the proposed approach was evaluated. Keywords: Computer microscopy, image processing, segmentation, blood cells recognition, acute leukemi

Алгоритм оптимизации выбора сжимаемых данных

The article deals with the problem of the efficiency of data compression algorithms. The analysis of the effectiveness of the speed characteristics of data compression of the Btrfs file system of the Linux kernel has been performed. An algorithm for optimizing the choice of data for real-time compression is proposed. The described algorithm gives the answer with an acceptable accuracy whether it is necessary to compress the data. This can significantly reduce the use of computing power. The main performance characteristics of the described algorithm are determined.В статье рассмотрена проблема эффективности работы алгоритмов сжатия данных. Выполнен анализ эффективности скоростных характеристик сжатия данных файловой системы Btrfs ядра Linux. Предложен алгоритм оптимизации выбора данных для сжатия в режиме реального времени. Описанный алгоритм с допустимой точностью дает ответ на вопрос— необходимо ли сжимать данные. Это позволяет значительно сократить использование вычислительных мощностей. Определены основные характеристики производительности описанного алгоритма

Optimization Algorithm for Selecting Compressible Data

The article deals with the problem of the efficiency of data compression algorithms. The analysis of the effectiveness of the speed characteristics of data compression of the Btrfs file system of the Linux kernel has been performed. An algorithm for optimizing the choice of data for real-time compression is proposed. The described algorithm gives the answer with an acceptable accuracy whether it is necessary to compress the data. This can significantly reduce the use of computing power. The main performance characteristics of the described algorithm are determined

Approach to data banks processing in corporate information systems for defects localizin

Рассмотрен подход к решению проблемы локализации дефектов при работе корпоративных информационных систем на стороне разработчика. Дано описание информационных потоков корпоративной информационной системы в разрезе одного слоя контекста обнаруженного дефекта («слепка» данных). Выделена основная задача обработки банков данных при локализации дефекта – отбор «слепков» данных за указанный временной период. The paper considers issues of data migration from corporate information systems of clients for localizing defects on the developer’s side. The main revealed problem is the defects localization on the client side. As a solution, an approach to data banks processing is proposed

IMMUNOHISTROCHEMISTRY AND FLOW CYTOMETRIC CHARACTERISTICS OF INTRATUMORAL LYMPHOCYTES IN OVARIAN SEROUS ADENOCARCINOMA

Intratumoral T-lymphocyte subpopulations were studied in 27 patients with ovarian serous adenocarcinoma, by using immunohisto- chemical techniques (n = 27) and three-color flow cytometry (n = 11).The subpopulations of intratumoral lymphocytes infiltrating the tumor parenchyma and stroma differed. The intraepithelial cells were mainly CD8+ T cells (30.7%) and CD56+ lymphocytes (25%), which were indicative of the predominance of NK cells. Stromal infil- tration was primarily presented by mature CD3+ T lymphocytes (33%). This was supported by flow cytometric studies; CD3+ constitut- ed 62—92.6% among the CD45+ intratumoral leukocytes. The CD3+CD8+/CD3+CD4+ ratio was > 2 only in 3 cases. CD25+ cells made up the bulk among the CD3+CD4+ lymphocytes - 30—60% in 6 patient