Iinfluence of Main Technological Parameters of Drying on Quality of Bagasse From Carrot and Beet

The work studies the drying process of vegetable bagasse, namely of carrot and beet. There is studied the moisture content kinetics of vegetable bagasse and determined the dependence of the process duration on main technological parameters in the work of a vibration vacuum dryer, namely, an amplitude and frequency. There were studied quality parameters of obtained concentrated products, namely the colorimetric estimation of dried bagasse of carrot and beet. Based on obtained results of the study, it was established, that the use of vibration in the process of drying bagasse favors conservation and formation of colorimetric characteristics of a dried product. Determined color characteristics gave a possibility to establish, that at thermal processing it is very important to decrease the drying process duration and temperature. Research data proved prospects of producing concentrated products, namely, dried bagasse of carrot and beet by the offered method. It allows to regulate quality parameters of a ready product: color, brightness, consistence, viscosity and physical-chemical properties. Obtained concentrated products are characterized with high organoleptic indices, food value. This product may be used in the wide spectrum of food industry, such as, for example: juice supplement, stuff for confectionary mass, filling for confectionary products, as biological supplement for healthy nutrition

A Study of the Finite Flat Plate Problem Using Various Kinetic and Continuum Models

Abstract. The supersonic flow past a finite flat plate at zero angle of attack is considered. The Navier-Stokes equations, Direct Simulation Monte Carlo (DSMC) statistical method and deterministic solving relaxation-type model kinetic equations using a high-order shock capturing scheme are used for numerical simulation of the problem. The results obtained with different approaches are compared and analyzed. The limits of continuum approach applicability as well as the accuracy of description based on model kinetic equations are studied

Specific Absorption Rate of Fractal-like Aggregates of Magnetic Nanopaticles

A specific absorption rate of fractal-like assemblies of iron oxide nanoparticles in alternating magnetic field has been calculated using stochastic Landau-Lifshitz equation which simultaneously takes into account both the presence of thermal fluctuations of the nanoparticle magnetic moments, and strong magneto-dipole interaction between the nanoparticles of the clusters. No appreciable difference in the magnetic properties of various types of fractal clusters has been revealed. It is also found that the specific absorption rate of dilute assemblies of fractal clusters shows only weak dependence on the number of the nanoparticles within the clusters. Keywords: Magnetic nanoparticles, Fractal clusters, Magneto- dipole interaction, Low frequency hysteresis loop

Повышение эффективности лазерного управляемого термораскалывания силикатных стекол с использованием метода фотоупругости

A method for monitoring the development of a separating crack in the process of laser-controlled thermal splitting of silicate glasses is proposed. This method is based on the polarization-optical method (photoelasticity method). The method was developed on the basis of numerical modeling and experimental studies of the process using a polarized light source and a video camera with an analyzer. During the cutting process, a source of polarized light creates a stream, which, passing through silicate glass, enters a video camera with an analyzer. Analysis of the parameters of polarized light in the area of material processing allows us to drawa conclusion about the stable development or absence of the formation of a separating microcrack. Based on the information obtained, it is necessary to dynamically make corrections to the technological parameters of the laser thermal splitting process for separating silicate glasses to maintain the value of thermoelastic stresses necessary for the formation of a microcrack, or transmit a command to interrupt the process.Предложен метод контроля развития разделяющей трещины в процессе лазерного управляемого термораскалывания силикатных стекол, в основе которого лежит поляризационно-оптический метод (метод фотоупругости). Метод разработан на базе численного моделирования и экспериментальных исследований процесса с использованием источника поляризованного света и видеокамеры с анализатором. Во время процесса резки источник поляризованного света создает поток, который, проходя через силикатное стекло, попадает в видеокамеру с анализатором. Анализ параметров поляризованного света в области обработки материала позволяет сделать вывод об устойчивом развитии или отсутствии образования разделяющей микротрещины. По полученной информации необходимо динамически вносить коррекцию в технологические параметры процесса лазерного термораскалывания разделения силикатных стекол для поддержания значения термоупругих напряжений, необходимых для формирования микротрещины, либо передавать команду прерывания процесса

Неонатальный скрининг на тяжелую комбинированную иммунную недостаточность в России: прекрасное дале ко или завтрашняя реальность?

Mass screening of newborns in Russia for five hereditary diseases does not meet the requirements of the world community for the neonatal screening program. Success in the development of laboratory diagnostic technologies and active introduction of achievements in genetics and molecular biology into medical practice allow for the revision of the list of nosologies included in the national neonatal screening program by replacing the disease or adding new nosologies. The article discusses the possibility of including genetic testing for severe combined immune deficiency in the Newborn Screening Program in Russia. The results from a retrospective study of markers of naive T- and B-lymphocytes (TREC and KREC) in the group of children with immuno-dependent pathology developed in the first year of life are discussed. © 2017 Voprosy Sovremennoi Pediatrii - Current Pediatrics. All rights reserved

Реокинетические исследования формирования сетчатых структур в полимерах

Methods of networks formation in different polymers or olygomers are considered. The possibility of rheokinetic description for chemical network formation in elastomers and their binary blends evaluation was shown. These elastomers differ from each other by polarity, reactivity and crosslinking mechanisms. Rheokinetic method represents the new approach for vulcanization regimes, structure and properties of such materials optimizationРассмотрены методы изучения про- цесса образования сетчатых струк- тур в различных полимерах и олиго- мерах. Показана возможность применения реокинетического подхода для оценки процесса формирования химической сетки в бинарных смесях полимеров, различаю- щихся полярностью, реакционной способ- ностью и механизмом сшивания. Реоки- нетический метод представляет собой новый подход к составлению режимов вулканизации эластомеров и оптимиза- ции структуры и свойств материалов на их основе

Segmentation of muscle tissue in computed tomography images at the level of the L3 vertebra

With the increasing routine workload on radiologists associated with the need to analyze large numbers of images, there is a need to automate part of the analysis process. Sarcopenia is a condition in which there is a loss of muscle mass. To diagnose sarcopenia, computed tomography is most often used, from the images of which the volume of muscle tissue can be assessed. The first stage of the analysis is its contouring, which is performed manually, takes a long time and is not always performed with sufficient quality affecting the accuracy of estimates and, as a result, the patient’s treatment plan. The subject of the study is the use of computer vision approaches for accurate segmentation of muscle tissue from computed tomography images for the purpose of sarcometry. The purpose of the study is to develop an approach to solving the problem of segmentation of collected and annotated images. An approach is presented that includes the stages of image pre-processing, segmentation using neural networks of the U-Net family, and post-processing. In total, 63 different configurations of the approach are considered, which differ in terms of data supplied to the input models and model architectures. The influence of the proposed method of post-processing the resulting binary masks on the segmentation accuracy is also evaluated. The approach, which includes pre-processing with table masking and anisotropic diffusion filtering, segmentation with an Inception U-Net architecture model, and post-processing based on contour analysis, achieves a Dice similarity coefficient of 0.9379 and Intersection over Union of 0.8824. Nine other configurations, the experimental results for which are reflected in the article, also demonstrated high values of these metrics (in the ranges of 0.9356–0.9374 and 0.8794–0.8822, respectively). The approach proposed in the article based on preprocessed three-channel images allows us to achieve metrics of 0.9364 and 0.8802, respectively, using the lightweight U-Net segmentation model. In accordance with the described approach, a software module was implemented in Python. The results of the study confirm the feasibility of using computer vision to assess muscle tissue parameters. The developed module can be used to reduce the routine workload on radiologists

Определение параметров лазерной обработки алмазов с применением метода конечных элементов и искусственных нейронных сетей

This paper provides the simulation of laser processing of diamonds by using a combination of artificial neural networks and the finite element method. The training data array and the data array for testing neural networks were generated in ANSYS. The calculations were performed for 600 types of input parameters, 60 of which were used to test artificial neural networks. The influence of the parameters of neural network models on the accuracy of determining temperatures in the laser processing area were studied. The parameters of neural networks were established that provide acceptable results in predicting temperatures generated by laser radiation in diamonds. The results obtained can be used to determine the technological parameters of the laser processing of diamonds.С помощью сочетания искусственных нейронных сетей и метода конечных элементов выполнено моделирование процесса лазерной обработки алмазов. Обучающий массив данных и массив данных для тестирования нейронных сетей были сформированы с использованием программы конечно-элементного анализа ANSYS. Расчеты выполняли для 600 вариантов входных параметров, 60 из которых использовали для тестирования искусственных нейронных сетей. Исследовано влияние параметров нейросетевых моделей на точность определения температур в зоне лазерной обработки. Установлены параметры нейронных сетей, обеспечивающие приемлемые результаты при прогнозировании температур, формируемых лазерным излучением в алмазах. Полученные результаты могут быть использованы при определении технологических параметров процессов лазерной обработки алмазов

COMPARATIVE ANALYSIS OF MULTI-LAYERED AND HOMOGENEOUS RADIATION PROTECTION

The report contains a comparative analysis of radiation protection consists of several layers of different materials and homogeneous radiation shielding materials the same part of the core material and thickness. Calculated multiplicity of weakening and cost of radiation shielding materials. During the work were applied to the calculation of Monte-Carlo to minimize material costs by optimizing the radiation protection staff radiation shielding materials.В работе содержится сравнительный анализ радиационной защиты состоящей из нескольких слоев различных материалов и гомогенных РЗМ при одинаковом составе основного материала и толщине. Рассчитаны кратности ослабления и стоимость РЗМ. В ходе работы был применен расчет по методу Монте-Карло для минимизации затрат на материалы радиационной защиты путем оптимизации состава РЗМ

Двулучевая лазерная очистка кварцевого сырья

The paper presents a numerical simulation of laser separation under the influence of laser beams with wavelengths  of  10.6  microns  and  1.06  microns  on  quartz  raw  material  used  in  the  electronics  industry in  the  manufacture  of  photomasks.  The  temperature  fields  obtained  by  the  finite  element  method  and the analytical solution are compared. The temperature distribution to a depth of 50 microns is almost the same when using both methods of solution, while with increasing depth the temperature difference increases by 10 %, which allows using both methods of solution, since in practice the temperature distribution in the near-surface layers,  which  determines  the  formation  of  agglomerates  with  impurity  inclusions,  is  more  important. It  is  revealed  that  the  efficiency  of  separation  of  quartz  raw material  depends  on  the  processing  speed  and the energy properties of laser radiation, which allows to choose the optimal processing parameters that ensure the effective formation of agglomerates containing impurity inclusions. Experimental studies of bi-beam laser cleaning  of  quartz  raw  material  were  carried  out,  which  allowedus to determine the optimal processing parameters of quartz raw material for effective cleaning of it from impurity inclusions, that make it possible to manufacture photomasks used in the production of microcircuits with improved performance characteristics.В  работе  выполнено  численное  моделирование  лазерной  сепарации  при  воздействии лазерных  пучков  с  длинами  волн,  равными  10,6  и  1,06  мкм,  на  кварцевое  сырье,  используемое в электронной промышленности при изготовлении фотошаблонов. Выполнено сравнение температурных полей,  полученных  при  моделировании  методом  конечных  элементов и  с  помощью  аналитического решения.  Распределение  температуры  до  глубины  50  мкм  практически  совпадает  при  использовании обеих методик решения, при этом с увеличением глубины разница температур возрастает на 10 %, что позволяет  использовать  обе  методики  решения,  так  как  на  практике  более  важным  является распределение  температур  в  приповерхностных  слоях,  которое  определяет  формирование  агломератов с примесными  включениями.  Выявлено,  что  эффективность  сепарации кварцевого  сырья  зависит  от скорости  обработки  и  энергетических  свойств  лазерного  излучения,  что  позволяет  подобрать оптимальные  параметры  обработки, обеспечивающие  эффективное  образование  агломератов, содержащих примесные включения. Проведены экспериментальные исследования двулучевой лазерной очистки  кварцевого  сырья,  которые  позволили  определить  оптимальные  параметры  обработки кварцевого  сырья  для  эффективной  очистки  его  от  примесных  включений,  что  обеспечивает возможность  изготовления  фотошаблонов  с  улучшенными  эксплуатационными  характеристиками, применяемых при производстве микросхем