ABSTRACT

The aim: The objective of our work was to improve the diagnostics of common chronic dermatoses (acne, psoriasis, АР) taking into account some indicators of the immune system and features of the disease course to specify their role in pathogenesis of these disease.
Materials and methods: A total of 114 patients with acne and 128 patients with psoriasis were observed.
Results: Regardless of the disease duration period, we have detected in blood serum of psoriasis рatients probable changes in concentrations of stress-response mediators (decreased parameters of cellular immunity (CD3+, CD3+CD4+, CD3+CD8+ of T-lymphocytes, CD22+ fraction of B-lymphocytes and compensatory increased CD16+ of T-cells, cytokines – IL-1β, IL-8, IL- 17, IL-22, immunoglobulins IgM, IgG, and CIC), which indicate tension of their stress-induced mechanisms even despite occasional clinical stabilization of skin and articular process. Consequently, most of the patients with acne had varying degrees of changes in rates of systemic immunity. The most significant changes in rates of systemic immunity with the depletion of T-cell immunity were found in patients with papular-pustular and pustular acne, and still more significant – in patients with acne conglobate.

Conclusions: In patients with acne and psoriasis, changes in systemic immunity indexes that indicate the formation of secondary immunodeficiency state T-cell link, amid an adequate humoral immunity have been found. Relationship between the causes of changes of systemic immunity has been established.

KEY WORDS: acne, psoriasis, clinical course, immunity, diagnostic

The issue of decision-making on the formation and optimization of the investment portfolio is in the field of attention of both large
investment companies and private investors. In the presented work the developed information system for investment portfolio analysis is
offered. The proposed information system focused to new private investor and allows to independently assess the effectiveness of the
investment portfolio by comparing the dynamics of growth of shares available on the financial market.

УДК: 621.382

Розглянуто проблематику побудови засобів магнітної діагностики плазми в термоядерних реакторах наступного покоління. На основі проведеного аналізу запропоновано новий підхід до реалізації функціонально інтегрованих пристроїв вимірювання магнітного поля у таких реакторах, новизною яких є поєднання сенсорів Холла та індукційних котушок. Такий підхід забезпечує періодичне in-situ самокалібрування сигнальних трактів, а відтак підвищення точності пристроїв магнітної діагностики в жорстких умовах експлуатації. Подано результати розроблення апаратно-програмної системи, основними компонентами якої є 3Dзонд, що поєднує сенсори Холла та індукційні котушки, аналоговий фронт-енд сигнального
перетворення та програмні засоби подальшого цифрового перетворення сигналів. Відповідно до концепції злиття даних подано структуру та послідовність калібрування функціонально інтегрованих пристроїв магнітної діагностики термоядерних реакторів, а також програмне забезпечення для аналізу шумових стохастичних процесів вимірювальних кіл на основі дисперсій Аллана.
Ключові слова: сенсор; магнітне поле; інтегрування сенсорів; злиття даних; калібрування.


The analysis of magnetic diagnostics in next generation thermonuclear reactors is carried out. Based on this analysis, the new approach of magnetic field measurement in hard radiation and temperature condition is presented. The concept is based on data fusion concept by integration of Hall sensor and coil. High precision of magnetic field measurement insures on periodic in-situ calibration, namely, forming by the coil test magnetic field of known magnitude and measuring the signals of the Hall sensor, which are due to this test field. According to the results of measuring the test signals, the coefficients of the measuring conversion function are calculated. Main calibration issues of functionally integrated devices on Hall sensors and coils are detailed. Measurement system consists a functionally integrated 3D probe on Hall sensor and coil, analog front-end and software. Currently six sets of such devices have been installed for trial operation in JET (Oxford, GB).

The analysis of fusion methods at the pixel level is carried out in the paper. Their mathematical models in the MATLAB package are implemented. The most effective methods of visible and infrared ranges image fusion are determined by evaluating the effectiveness of methods using the authors' proposed improved method of evaluating the informativeness of images and known metrics. These studies were conducted on a set of test images consisting of ten pairs of spatially synchronized images obtained in the visible and thermal ranges of electromagnetic waves.

The methodology of choosing the parameters of strengthening the structural elements of the bearing surfaces of aircraft is presented in the article. Using mathematical methods of deformable solids, a mathematical model of processing elements of aircraft is built, which will be much more resistant to external mechanical impact. To give the surface water-repellent and anti-icing properties, surface treatment with highly concentrated energy flows can be used, followed by its strengthening. Such technologies include laser irradiation, plasma flux, electron beam, light beam, and ion flux. The proposed model is based on the problem of determining the technological parameters of the impact of concentrated energy flow on the surface of the part in order to determine with high accuracy the area of hardening and forecasting of zones of plastic deformation. The precision of determining these parameters is justified by taking into account the problem of dependence of physical and mechanical characteristics of the material on temperature - thermal sensitivity of the material. As these technologies involve significant changes in temperature values, taking into account temperature dependences is an important factor. The proposed methodology of determining the parameters is an actual task and is based on the solution of nonlinear problems, as well as allows you to create more accurate models of physical processes and provides reliability.