bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using silver nanoparticles for the increase of YAG: Ce luminescence
Authors: Kravtsov A A , Chikulina I S , Kichuk S N , Tarala V A , Nikova M S , Devitsky V 
Published: November 2021

Abstract
In this study, silver nanoparticles with an average diameter of 50-70 nm were synthesized by the chemical reduction method. Subsequently, nanoparticles in different concentrations were introduced into the YAG: Ce luminescent powder synthesized by the method of two-stage coprecipitation into hexamine. The luminescence of samples with different contents of nanosilver was investigated. It was shown that the direct addition of nanosilver to YAG: Ce significantly impairs luminescence. Upon calcination at 900 °C, an increase in the luminescence of the YAG: Ce samples with silver nanoparticles was observed; however, the luminescence intensity was lower than that of the reference sample (without nanosilver). After calcination in an inert atmosphere at a temperature of 1550 °C, a significant increase in the luminescence intensity (of the order of 30-40 %) of the samples with the addition of a nanosilver was observed in comparison with the reference sample. Thus, silver nanoparticles can be successfully used to improve the YAG: Ce phosphors.
Spectral and structural properties of clotting factor proteins under mechanical stress
Authors: Aleksakhina E L , Parfenov A S , Priyatkin D A , Fomina N A , Tomilova I K 
Published: November 2021

Abstract
The fluorescence data obtained from BODIPY molecular sensors prove the increase of hydrophobicity of blood plasma proteins, fibrinogen, after in vitro and in vivo pressure episodes, which indicates conformational changes in the structure of the fibrinogen due to the phase transition from α-helices to β-sheets in its superspirals. The phase transition in the supramolecular structure of fibrinogen provides greater hydrophobicity of fibrin, intensifying the visible crystallinity of the fibrin clot observed by infrared spectroscopy, scanning electron microscopy and X-ray imaging.
Simulation of turbulent flow over the hill
Authors: Kurbanaliev A Y , Turganbaeva A B , Berdibekova K T , Bokoev K A 
Published: November 2021

Abstract
An airflow around a hilly area is simulated by numerically solving the Reynolds-averaged Navier-Stokes equations within the open OpenFOAM 2006 package. To simulate turbulence, standard turbulence models implemented in OpenFOAM 2006 were used together with wall functions. The results of numerical calculations were compared to the numerical data obtained using the CFL3D and FUN3D packages.
Matching of generators and gas-discharge loads with radio frequency pumping
Authors: Samoylov S A , Samoylov V S , Al Tahar I A , Tsvetkova E A 
Published: November 2021

Abstract
The article considers the problem of matching power high-frequency generators and gas discharge loads. Variants of various types of tunable matching circuits are proposed. A method of adaptive continuous tuning is described and a variant of implementing tunable elements on varicaps is proposed.
Nanoscale Schottky diodes for studying the activity of aluminum nanoparticles in reaction with water
Authors: Nedrygailov I , Chernova N I , Osliakova I V 
Published: November 2021

Abstract
Hydrogen is a promising fuel for energy storage, transportation, production and consumption. At the same time, hydrogen in its pure form is not found on Earth in large quantities and therefore it is necessary to develop a technology for its production. One of the promising technologies for hydrogen production is the reaction of aluminum nanoparticles with water. At the same time, experimental studies of the elementary mechanisms of this reaction are difficult due to the aggressive properties of a concentrated alkaline solution, which is used to activate the aluminum surface. Here we show that the kinetics of the aluminum-water reaction can be monitored in real time using a Schottky nanodiode sensor, provided that the characteristic size of the nanodiode electrodes does not exceed 10 nm. The investigated nanoparticles are applied to the sensor surface by means of nanofabrication. The charge generated in the aluminum nanoparticles as a result of the reaction creates an electrical signal that is proportional to the rate of the chemical process. This makes it possible to use this technology to study the activity even of small groups of nanoparticles, when the volume of released hydrogen is insufficient to measure the reaction rate.
Modeling of the combustion process of methane hydrate taking into account the kinetics of the decomposition process
Authors: Chiglintseva A S , Gimaltdinov I K , Bayanov I M , Stolpovsky M V 
Published: November 2021

Abstract
This paper presents a mathematical model of the combustion process of methane gas hydrate in a closed volume, taking into account the kinetics of its decomposition. The system of basic equations, which includes the equations of conservation of mass (for the entire mixture of gases and each component separately), momentum and energy, is supplemented by the conditions for the balance of mass and heat at the boundary of the phase transition. In this case, the dominant factor determining the intensity of hydrate decomposition is the Arrhenius-type kinetics and conductive heat transfer. Based on the numerical solution of the obtained system of equations based on the method of large particles, the temperature and concentration fields of the system are obtained and analyzed. It is shown that at the initial moment of time, the rate of decomposition of the hydrate according to the model that takes into account the kinetics of the decomposition process is higher than that according to the model that does not take it into account.
Signal processing of nonlinear dynamic systems
Authors: Sarkisov S V , El-Salim S Z , Bondarev A V , Korpusov A N , Putilin P A 
Published: November 2021

Abstract
The paper considers Hermite polynomials that act as a self-similar basis for the decomposition of functions in phase space. It is shown that the equations of behavior of nonlinear dynamical systems are simplified. It is also noted that the wavelet decomposition over Hermite polynomials reduces the number of approximation coefficients and improves the quality of approximation.
Radar range in multi-target mode
Authors: Kuptsov V D , Ivanov S I , Fedotov A A , Badenko V L 
Published: November 2021

Abstract
The paper presents the theoretical simulation results of mmWave frequency modulated continuous wave (FMCW) radars in multi-target mode. The speed of objects is determined by a segment of constant frequency, and the ranges are determined twice - by the first and second chirps of long duration, but with different deviations and frequency rise steepness. The method consists in the fact that the proposed functional with the correct speed-range pair has a minimum, which allows you to select the correct speed-range pair from the sets of speeds and ranges of all targets. The dependence of probability of multiple targets speed and range correct determination in the multi-target mode on the range of the FMCW radar has been investigated. The results can be used by developers to design optimized radars.
High-voltage pulse rise time decreasing using transmission coaxial and spiral lines with ferrite
Authors: Sobyanin R K , Romanchenko I V , Afanasyev K V 
Published: November 2021

Abstract
This article presents the results of a study of the formation of a short rise time of a powerful nanosecond 410 kV pulse. Ferrite filled coaxial transmission lines with standard inner conductor and construction in the form of a spiral are designed. The sharpening of the pulse occurs due to the appearance of an electromagnetic shock wave in the ferrite. The value of the rise time at the level of 0.1 - 0.9 has been decreased from 4.5 to 2.5 ns.
Two problems of movement of multi-link wheeled vehicles
Authors: Mikishanina E A 
Published: November 2021

Abstract
The paper presents the results of a study of the dynamics of multi-link wheeled vehicles with nonholonomic connections superimposed on this mechanical system. The article is of an overview nature. The mathematical formulation is a system of ordinary differential equations of motion in the form of Lagrange with undefined multipliers, solved together with derivatives of nonholonomic constraints. The results are presented in the case of controlled motion, when the law of motion of the first link is known, as well as in the case of uncontrolled motion, when the law of motion of the leading link is also the desired function of time. General equations are obtained for a mechanical system consisting of an arbitrary number of links. Numerical results are presented for the case of three coupled trolleys. The software package Maple was used to perform numerical calculations and plotting of the desired mechanical parameters.
Measures of shape for the generalized beta exponential distribution
Authors: Polosin V G 
Published: November 2021

Abstract
This paper contains parametric and informational measures of shape for various families of the generalized beta exponential distribution since it is important to determination of the distribution shape for analysing an experimental data set. A logistic parameter is used to select independent types of beta exponential distributions, that it allows to combine the distributions of different subfamilies. In this paper the use of parametric shape measures to predefine distribution shape is discusses. In particular, the initial and standard central moments for the main types of generalized beta exponential distribution are given. In the paper it is proposes to use the entropy coefficient of unshifted distribution as an independent information measure of the shape of unshifted generalized beta exponential distributions. In order to increase the reliability of the preliminary determination of the shape of the model, expressions for the entropy coefficient of shifted families both the generalized beta exponential distributions of the first and second types, and the generalized gamma exponential distribution were obtained. For practical applied the entropy coefficients of unshifted distributions for various subfamilies of generalized beta exponential distributions can be useful.
Radiopulse generation in dispersive nonlinear transmission lines with GaAs S-diodes
Authors: Maltsev S N , Konev V Yu , Barmin V V , Romanchenko I V , Prudaev I A 
Published: November 2021

Abstract
The article discusses the regularities that increase the efficiency of generation of microwave oscillations in nonlinear dispersive lines with commutation diodes. GaAs semiconductor structures were used as switching diodes. The results of numerical simulations and experiments are presented, showing that the amplitude of microwave oscillations in the line increases with decreasing oscillation frequency.
Development of technology of high-speed digital-to-analogue converters to improve the efficiency of direct digital synthesis of radio-frequency signals
Authors: Romashov V V , Doktorov A N , Yakimenko K A , Khramov K K 
Published: November 2021

Abstract
The importance of high-speed digital-to-analogue converters for the synthesis of high-frequency coherent signals is shown. A review of the main specialized modes of operation of high-speed digital-to-analogue converters is carried out, which make it possible to effectively use the side components of the spectrum that arose during the restoration of a signal from digital to analogue form. An RF2 reconstruction mode with a modified bipolar pulse sequence is proposed, which makes it possible to increase the amplitude of the images in the eighth and ninth Nyquist zones.
Numerical analysis of the influence of vortex acoustic flows on the efficiency of agglomeration
Authors: Khmelev Vladimir N , Shalunov Andrey V , Golykh Roman N , Nesterov Viktor A 
Published: November 2021

Abstract
It is known and experimentally proven many times that ultrasonic vibrations in the gas phase contribute to the appearance of stationary acoustic flows. Since the flows are caused by energy losses during absorption of oscillations, and they do work against the frictional forces that cause this absorption, then these flows have a vortex character. According to numerous studies and developments in the field of inertial dust separation, at a centripetal acceleration of 10 m/s2 or more, local compaction of particles is observed near the periphery of the vortex flow. Due to this, particles are captured in existing devices based on the inertial dust separation principle. In this regard, the article presents the results of theoretical studies of the potential for the use of acoustic flows for a local increase in the concentration of particles and, consequently, an increase in the efficiency of agglomeration. A model of the influence of vortex acoustic flows on the efficiency of agglomeration is proposed. As a result of the numerical analysis of the model, the fundamental possibility of a significant (more than 4 times) increase in the efficiency of ultrasonic agglomeration of submicron particles due to the formation of vortex acoustic flows in the resonant intervals was revealed.
Applied aspects of data mining for decision support at the regional health system
Authors: Rapakov G G , Sukonshchikov A A , Shvetsov A N , Gorbunov V A , Kravets O Ja 
Published: November 2021

Abstract
The article presents the results of research of Data Mining methods with Microsoft SQL Server. Microsoft Clustering algorithm was used for improving the effectiveness of medical prevention and treatment in a cohort of patients with arterial hypertension. There are rationales for monitoring of cardiovascular risk and desire to correct the risk with Data Mining at medical decision support systems. Authors used medical and sociological monitoring data from regional clinical hospital. The segmentation of arterial hypertension patients was performed using Microsoft Clustering algorithm. As a result, a quantitative assessment of the population profile for patients with arterial hypertension was obtained. The authors presented diagrams and profiles of clusters. They were compared. The developed approach is applied for decision support at regional health information management system for reduce of cardiovascular risk.
Artificial intelligence in medical imaging
Authors: Abbasov I B 
Published: November 2021

Abstract
This review focuses on current research in medical imaging using artificial intelligence. The application of these technologies in relation to the study of the cardiovascular system is considered. The topic of modern works using X-ray studies, nuclear cardiology, echocardiography, magnetic resonance and computed tomography is analyzed. The increasing influence of modern mobile technologies is emphasized, allowing to remove, transfer medical data to a remote expert for diagnosis. The stages of medical imaging are presented, works are described on the implementation of an artificial neural network in medical imaging, the stages of deep learning in the field of radiology. Works on the technical aspects of the use of threedimensional printing in heart diseases are presented, modern three-dimensional models with physiological qualities can have a prospect of application. Also noted are works devoted to the use of virtual reality in the study of the anatomy of the heart. These technologies will allow doctors to timely select the means and treatment method for effective interaction with the patient.
Automatic control of the distribution of tasks under conditions of uncertainty with the use of adaptive approach
Authors: Zhigalov E , Ozerova M I 
Published: November 2021

Abstract
The subject of this article is the development of an adaptive approach for the optimal distribution of problems among solvers in conditions of uncertainty. Despite the large amount of research related to the construction of solutions for automatic control of task distribution, this issue remains relevant. As an alternative approach, a multi-level adaptive algorithm is proposed, which at each level filters incoming tasks according to solution methods, thereby significantly reducing the computational load. A distinctive feature of this algorithm is taking into account the time of task preprocessing, in particular, related to the current load of solvers and the distribution of tasks by solvers, in accordance with the maximum load.
Distributed intelligent measuring and information system for monitoring coastal environmental parameters
Authors: Bezgin A A , Motyzhev S V , Lunev E G , Tolstosheev A P , Gimpilevich Yu B 
Published: November 2021

Abstract
The article presents the results of the study of ways to create distributed measuring networks to control the parameters of the surrounding coastal marine environment and atmosphere. The device, the principle of operation and the measuring capabilities of the meteorological station and the measuring buoy are considered. An example of an intelligent hydrometeorological adaptive system for controlling the parameters of the coastal water area is presented.
Compartmental spiking neuron model for pattern classification
Authors: Astapova L A , Korsakov A M , Bakhshiev A V , Eremenko E A , Smirnova E Yu 
Published: November 2021

Abstract
One of the directions of development within the framework of the neuromorphic approach is the development of anatomically similar models of brain networks, taking into account the structurally complex structure of neurons and the adaptation of connections between them, as well as the development of learning algorithms for such models. In this work, we use the previously presented compartmental spike model of a neuron, which describes the structure (dendritic tree, soma, synapses) and behaviour (temporal and spatial signal summation, generation of action potential, stimulation and suppression of electrical activity) of a biological neuron. An algorithm for the structural organization of neuron models into a spike neural network is proposed for recognizing an arbitrary impulse pattern by introducing inhibitory synapses between trained neuron models. The dynamically adapting neuron models used are trained according to a previously proposed algorithm that automatically selects parameters such as soma size, dendrite length, and the number of synapses on each of the dendrites in order to induce a temporal response at the output depending on the input pattern encoded using a time window and temporal delays in the vector of single spikes arriving at a separate dendrite of a neuron. The developed algorithms are evaluated on the Iris dataset classification problem with four training examples from each class. As a result of the classification, separate disjoint clusters are formed, which demonstrates the applicability of the proposed spike neural network with a dynamically changing structure of elements in the problem of pattern recognition and classification.
The method for detecting network attacks based on the neuroimmune approach
Authors: Chastikova V A , Mitugov A I 
Published: November 2021

Abstract
The given paper proposes a procedure for detecting network attacks based on a hybrid model that combines deep learning methods and artificial immune systems and increases the efficiency of network traffic analysis. During the development process, the constituent components of a hybrid system for identifying network incidents have been specified with a preceding analysis of existing approaches to its construction. Conceptual architectures of the intrusion detection system have been proposed, functional simulation and data flow simulation for the system comprehensive description have been carried out. Theoretical analysis of the concepts selected for implementation of the development methods of network detection systems has been carried out and the procedures of their hybridization have been substantiated. A software package for comparative analysis of the neuroimmune approach with machine learning methods has been developed and tested.
Development of theoretical foundations for the creation of intelligent technology based on a unified artificial immune system for complex objects control of the oil and gas industry
Authors: Samigulina G A , Samigulina Z I 
Published: November 2021

Abstract
The article is devoted to the current and promising direction of the implementation of the Industry 4.0 program based on the introduction of artificial intelligence (AI) approaches in the industrial production of the oil and gas industry. A review of the application of modern bioinspired AI approaches for solving problems of control and diagnostics of industrial equipment is carried out. The application of the approach of artificial immune systems (AIS) and various modified AIS algorithms is substantiated in the creation of innovative and competitive applications for solving various specific engineering problems and creating a modern highly efficient technology for automating production processes at oil refineries. The theoretical foundations for the creation of an intelligent innovative technology based on a unified artificial immune system (UAIS) for distributed systems for complex objects control using modern computer technology have been developed. Definitions of UAIS and immunological homeostasis are given. Unification is carried out with the aim of reducing the variety of modified AIS algorithms and their optimal use for solving the assigned tasks for the technological processes control. The classification and assessment of the effectiveness of the application of modified AIS algorithms is carried out. The block diagram of an intelligent control system based on the developed UAIS is presented.
Technical realization of the device for integrated monitoring of the parameters of the microwave path
Authors: Gimpilevich Yu , Afonin I , Vertegel V , Tyschuk Yu 
Published: November 2021

Abstract
Two designs of a microwave sensor have been developed for a device for built-in monitoring of microwave path parameters, built on the basis of a broadband quadrature measurement method. The first sensor design is made on the basis of a symmetrical strip line, the second - on the basis of a segment of a coaxial line. Each of the microwave sensor designs consists of three parts: a directional coupler and two non-directional measuring probes. The microwave sensor is designed to operate in the 1 - 2 GHz frequency range. The paper also proposes a variant of the circuitry implementation of the built-in microwave control device, which implements the procedure for broadband automatic measurement of the complex reflection coefficient and the power level in the microwave path based on the method of quadrature measurements. The device solves the problem of long-term automatic monitoring of parameters and timely detection of the beginning degradation of the antenna-feeder path.
A formal pattern of information system design
Authors: Unger A Y 
Published: November 2021

Abstract
A new design pattern intended for distributed cloud-based information systems is proposed. Pattern is based on the traditional client-server architecture. The server side is divided into three principal components: data storage, application server and cache server. Each component can be used to deploy parts of several independent information systems, thus realizing shared-resource approach. A strategy of separation of competencies between the client and the server is proposed. The strategy assumes that the client side is responsible for application logic and the server side is responsible for data storage consistency and data access control. Data protection is ensured by means of two particular approaches: at the entity level and at the transaction level. The application programming interface to access data is presented at the level of identified transaction descriptors.