EVALUATION OF THE DOSIMETRIC PARAMETERS FOR 252CF DURING INTERSTITIAL BRACHYTHERAPY OF HEAD AND NECK ORGANS

Dosimetric calculations of the main parameters of interstitial brachytherapy of the head and neck organs with the 252Cf source were performed. 10 cases of low-power brachytherapy were analyzed. The concept of precision modeling of the interstitial brachytherapy scenario is formulated

Probing a Complex of Cytochromecand Cardiolipin by Magnetic Circular Dichroism Spectroscopy: Implications for the Initial Events in Apoptosis

Oxidation of cardiolipin (CL) by its complex with cytochrome c (cyt c) plays a crucial role in triggering apoptosis. Through a combination of magnetic circular dichroism spectroscopy and potentiometric titrations, we show that both the ferric and ferrous forms of the heme group of a CL:cyt c complex exist as multiple conformers at a physiologically relevant pH of 7.4. For the ferric state, these conformers are His/Lys- and His/OH–-ligated. The ferrous state is predominantly high-spin and, most likely, His/–. Interconversion of the ferric and ferrous conformers is described by a single midpoint potential of -80 ± 9 mV vs SHE. These results suggest that CL oxidation in mitochondria could occur by the reaction of molecular oxygen with the ferrous CL:cyt c complex in addition to the well-described reaction of peroxides with the ferric form

Use of a neural network in creating a digital assistant for blind and visually impaired people

The experience of ongoing research in image processing clearly demonstrates the huge scope for the development of new neural networks that can help people in a wide range of tasks. The authors chose the direction of work related to helping people who have vision problems. The article considers a convolutional neural network of the Mask R-CNN model for segmenting objects in an image. During the research the authors study a large number of algorithms that can quickly and accurately process images, such as Faster R-CNN, which was the most efficient in 2020. During the analysis, it was revealed that the use of Mask R-N technology can significantly increase the efficiency of performing tasks, since this algorithm is the latest version of the machine learning model. As a result of the study, a neural network was developed that is capable of identifying and distinguishing a large number of objects in an image. The next step is to refine the algorithm and use additional means of interaction with the hardware of the systems to increase the speed of the neural network. In the future, the resulting neural network will be integrated into the Digital Assistant for the Blind and Visually Impaired Persons application. This application is guaranteed to improve the daily life of people with disabilities who experience certain inconveniences due to their features, and can become the basis for other, larger projects related, for example, to unmanned devices, as well as services whose work is directly based on image processing

Assessment of physical activity of students and adolescents

This is article presents an assessment of physical activity in schoolchildren of grades 5, 9 and 1st year students. The study showed that the level of physical activity decreases with age. For example, the frequency of walking every day decreased from 63.3% (5th and 9th grade) to 28.7% (students). Among the surveyed students, the share of those engaged in sports sections decreased from 90% (5th grade) and 77.8% (9th grade) to 25%. In comparison with school students, the frequency and duration of physical activity decreases. The results obtained indicate the need to expand the number of sports sections in higher educational institutions, the availability of sports facilities, as well as the rational distribution of free time from studyВ данной статье представлена оценка физической активности у школьников 5, 9 классов и студентов 1 курса. Исследование показало, что уровень физической активности с возрастом снижается. Например, частота прогулок каждый день уменьшилась с 63,3% (5 и 9 класс) до 28,7% (студенты). Среди опрошенных студентов снизилась доля занимающихся в спортивных секциях с 90% (5 класс) и 77,8% (9 класс) до 25%. У студентов по сравнению со школьниками уменьшается кратность и продолжительность занятий физическими нагрузками. Полученные результаты свидетельствуют о необходимости расширения числа спортивных секций в высших учебных заведениях, доступности спортивных объектов, а также рационального распределения свободного времени от учеб

Comparative assessment of posture among 1st and 3rd year students of the medical and preventive faculty of the Ural state medical university

The purpose of the study is to identify and compare the features and patterns of posture disorders in students of the 1st and 3rd courses of the medical and preventive faculty of USMU.Цель исследования - выявить и сравнить особенности и закономерности нарушений осанки у студентов 1 и 3 курсов медико-профилактического факультета УГМУ

DYNAMICS MODEL OF THE CONTENT 131-I IN THE THYROID AND DAILY MILK YIELD IN DAIRY COWS

The model of radioiodine metabolism in the body of dairy cows, taking into account the content of stable iodine in the diet of animals, makes it possible to evaluate the effectiveness of the use of iodine preparations in order to reduce the accumulation of isotopes in the thyroid gland and milk

Study of the psychophysiological state of students of the medical and preventive faculty of USMU on distance learning

The aim of the study – to assess the psychophysiological state of students of the Faculty of Medicine and Prevention who were on distance learning in connection with the pandemic.Цель исследования – оценить психофизиологическое состояние студентов медико-профилактического факультета, находившихся на дистанционной форме обучения в связи с пандемией

Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks

The intensifying of the manufacturing process and increasing the efficiency of production planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in modern manufacturing. The use of various methods for controlling the cutting force under cylindrical infeed grinding and studying its impact on crankpin machining quality and accuracy can improve machining efficiency. The paper deals with developing a comprehensive scientific and methodological approach for determining the experimental dependence parameters’ quantitative values for cutting-force calculation in cylindrical infeed grinding. The main stages of creating a method for conducting a virtual experiment to determine the cutting force depending on the array of defining parameters obtained from experimental studies are outlined. It will make it possible to get recommendations for the formation of a valid route for crankpin machining. The research’s scientific novelty lies in the developed scientific and methodological approach for determining the cutting force, based on the integrated application of an artificial neural network (ANN) and multi-parametric quasi-linear regression analysis. In particular, on production conditions, the proposed method allows the rapid and accurate assessment of the technological parameters’ influence on the power characteristics for the cutting process. A numerical experiment was conducted to study the cutting force and evaluate its value’s primary indicators based on the proposed method. The study’s practical value lies in studying how to improve the grinding performance of the main bearing and connecting rod journals by intensifying cutting modes and optimizing the structure of machining cycles

Relativistic Laser-Matter Interaction and Relativistic Laboratory Astrophysics

The paper is devoted to the prospects of using the laser radiation interaction with plasmas in the laboratory relativistic astrophysics context. We discuss the dimensionless parameters characterizing the processes in the laser and astrophysical plasmas and emphasize a similarity between the laser and astrophysical plasmas in the ultrarelativistic energy limit. In particular, we address basic mechanisms of the charged particle acceleration, the collisionless shock wave and magnetic reconnection and vortex dynamics properties relevant to the problem of ultrarelativistic particle acceleration.Comment: 58 pages, 19 figure