bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mutualinfluence of two dipole antennas
Authors: Sochilin A V , Eminov S I 
Published: October 2020

Abstract
Accounting for the mutual influence of emitters is one of the important problems in antenna theory. Due to the fact that the results of numerical calculations are poorly presented in the scientific literature, it is very important to develop a theory and perform calculations. In this paper, we obtain a one-dimensional integral equation with a dedicated main operator for two identical emitters. An efficient numerical method is constructed, a program is developed, and numerical calculations are performed over a wide range of input parameters.
Comparison of characteristics of variable magnetic field magnetoelectric sensors based on bidomain lithium niobate, with active magnetic mass and self-biased Ni / Metglas gradient structure
Authors: Sokolov O V , Leontiev V S , Bichurin M I 
Published: October 2020

Abstract
The article is devoted to a theoretical comparison of the characteristics of two magnetoelectric sensors of an alternating magnetic field, operating without an external magnetizing field. The first sensor uses a bending mode in a bimorph lithium niobate with an active magnetic mass at the free end. The second sensor consists of lithium bimorph niobate and a self-biased Ni-Metglas gradient structure. The performed estimates show that a sensor with an active magnetic mass is more than 4 times superior to a sensor with a self-biased gradient structure in sensitivity to an alternating magnetic field. However, it has the advantage that by changing the mass of the magnets, the resonant frequency of the sensor can be controlled. In turn, a sensor with a self-biased gradient structure wins in terms of mass and size characteristics. The results obtained can be used to build promising variable magnetic field sensors for use in biomedicine.
Torsional modes in the magnetoelectric effect for a two-layer ferrimagnet-piezoelectric YIG / GaAs structure
Authors: Sokolov O V , Bichurin M I 
Published: October 2020

Abstract
The article is devoted to the theoretical study of the magnetoelectric (ME) effect in the magnetostrictive-piezosemiconductor structure of yttrium iron garnet (YIG) - gallium arsenide (GaAs) in the torsional mode. Earlier, it was found that the ME effect significantly increases with the transition from the low-frequency range to the region of electromechanical resonance (EMR). There are known results on the study of the ME effect in the range of different EMR modes: planar, flexural, and shear. This article proposes to consider the ME effect in the torsional mode region in a layered YIG-GaAs composite. Interest in this phenomenon is associated both with the study of the newest effect, and with the possibility of studying the ME effect in the region of magnetoacoustic resonance, i.e. when the torsional mode coincides with the spin wave in the region of ferromagnetic resonance. The results obtained can find application in the design of new ME devices.
Schematic modeling of functional units of a magnetoelectric current sensor
Authors: Solovev A I , Kiselev V A , Petrov R V , Leontiev V S , Bichurin M I 
Published: October 2020

Abstract
The article is devoted to circuit simulation of functional units of a magnetoelectric current sensor. The magnetoelectric current sensor is designed to measure the current in electrical circuits of direct or alternating current in electrical engineering. The advantages of the developed magnetoelectric current sensors over existing analogs are higher sensitivity, lower power consumption, wide dynamic range of the output voltage, and better linearity of the output characteristics. In the course of the simulation, a model of the OA MCP6024-E/ST microcircuit from Microchip Technology Inc. was used, which is used as a signal amplifier for a magnetoelectric sensing element in a current sensor. Simulation of the signal generation unit, peak detector and linear amplifier was carried out. Circuitry solutions were proposed to improve the parameters of existing current sensors. Solutions have been found to ensure the temperature stability of the sensor. The developed magnetoelectric current sensors can be manufactured using integral technology and become a significant competitor to the traditional Hall effect sensors.
The use of supercritical solvents in crude oil fraction conversion
Authors: Stepacheva A , Gavrilenko A , Markova M , Semenova A , Monzharenko M , Sulman M 
Published: October 2020

Abstract
Nowadays, the production of liquid fuel faces such problems as the matching of the final product with the world standards. To solve these problems, the development of novel technologies and highly effective catalysts for crude oil processing and hydrotreatment is of great interest. In the current work, we provide the combined methodology for the conversion of sulfur-containing oil fractions and heavy hydrocarbons based on the application of supercritical solvent and polymer stabilized oxide catalysts. The mixture of propanol-2 and n-hexane in the supercritical state was used as a solvent in this work. It was found that such combination allows the effective C-C and C-S bond breacking. In this paper we describe the studies on the influence of solvent composition and catalyst on the conversion of two widely used oil model compounds (anthracene and dibenzothiophene).
Amidation kinetics of succinic anhydride by amine-containing drugs
Authors: Tyurina T G , Kryuk T V , Kudryavtseva T A 
Published: October 2020

Abstract
The reaction kinetics of succinic anhydride with amine-containing drugs benzocaine, procaine and sulfanilamide was studied. It is shown that the reaction in the initial period is autocatalytic; subsequently the amidation process is dominant, which corresponds to second order reaction type. The dependence of the reaction kinetic parameters on the properties of the medium and the structure of the amine is analyzed. Equations are given that link the value of the amidation rate constant with the characteristics of organic solvents: polarity, basicity, donor and acceptor properties.
On mesofractal interpretation of the galaxy spatial arrangement
Authors: Uchaikin V V , Kozhemjakina H V 
Published: October 2020

Abstract
The term mesofractal is used here for a system of random points arrangement of which reveals the fractal character on small scales and looks as uniform on large scales. The way of simulation of such systems is based on the random jump process with Lévy-Feldheim stable distributions taken as transition densities, and the Poisson point process for the origin points of the independent trajectory ensemble. Such model successfully represents main statistical properties of the observed part of the universe and may be useful for testing estimation procedures. This article contains also a short discussion of evolution of cell-count data between fractal and uniform domains.
On the structural stratification of iron nanoparticles
Authors: Udovsky A L 
Published: October 2020

Abstract
It is shown that the presence of dispersion of particles with nano-sizes can lead to the appearance of a local phase transition on the surface layer of a sub-granule or a local bcc / fcc phase transition in pure Fe can occur at the intergranular boundary. In the presence of a large size factor, for example, as in Fe- (Mo, W) systems, the magnitude of the static displacements of Fe atoms located at 2–3 coordination spheres relative to the impurity atom, and simultaneously located in the surface / surface layer of the grain, when the critical value of the atomic displacement is exceeded Fe will lead to a violation of the local mechanical stability of the bcc lattice of Fe.
Updating the calculation of the concentration dependence of full energy and formation energy of sigma-phase of the Fe-V system for the basic state
Authors: Udovsky A L , Kupavtsev M V 
Published: October 2020

Abstract
The purpose of this work is to study the region of existence of the sigma phase of the Fe-V system. Since this phase is stable up to low temperatures, up to temperature of the ground state, at which quantum-mechanical calculations are carried out. This one allows testing quantum-mechanical calculations for sigma – phase Fe-V alloys. The original algorithm for calculating the minimum total energy was developed and tested depending on two independent variables [1, 2, 3]. The optimized values of the lattice parameters for the σ-phase alloys of the Fe-V system are calculated. Dependence of the mixing energy of the σ – phase as a function of the composition x (V) of the sigma - phase of the Fe-V system was obtained. The calculations were carried out using the license package of quantum-mechanical calculations WIEN2k.
The fabrication technology of VCSELs emitting in the 1.55 μm waveband
Authors: Voropaev K O , Seleznev B I , Prokhorov A Yu , Ionov A S , Blokhin S A 
Published: October 2020

Abstract
The paper presents the results on fabrication technique of a 1,55 μm wafer-fused vertical-cavity surface-emitting lasers (VCSELs) based on the InAlGaAsP/InP optical cavity and AlGaAs/GaAs distributed Bragg reflectors (DBRs) grown by solid-source molecular beam epitaxy. The optical cavity InAlGaAsP/InP containes an active region based on multiple InGaAs quantum wells, n++/p++-In (Al)GaAs buried tunnel junction (BTJ), InGaAsP intracavity contact layers and n-InP spreading layers. The top and bottom AlGaAs/GaAs DBRs were grown on GaAs substrate, while the optical cavity InAlGaAsP/InP was grown on InP substrate. The main fabrication proceseses of 1,55 μm VCSELs such as: BTJ fabrication, dry etching of first mesa on top DBR, wet etching of second VCSEL mesa, forming of the ohmic contacts and passivation of the VCSEL structure were described in details.
A probabilistic model of dynamic allocation of resources by investment region
Authors: Zaitseva I V , Malafeyev O A , Dolgopolova A F , Novikova E N , Lugovskoy S I 
Published: October 2020

Abstract
The article discusses the most general, probabilistic model of the dynamic distribution of investment labor resources, describes a method for the optimal distribution of labor resources by investment region and determining the optimal modes of their redistribution taking into account changing conditions. In several regions of investment, several types of labor resources are invested simultaneously.
Dynamic distribution of labor resources by region of investment
Authors: Zaitseva I V , Malafeyev O A , Zakharov V V , Zakharova N I , Orlova A Yu 
Published: October 2020

Abstract
This article discusses the problem of the optimal distribution of labor resources by investment region, taking into account changing conditions. A deterministic model is considered, that is, both the investment region and the invested resources go into new states with a probability equal to one. Several economic agents jointly organize the process of investing labor resources in several investment regions.
On the status of the Born-Oppenheimer expansion in molecular systems theory
Authors: Zakharov A Yu 
Published: October 2020

Abstract
It is shown that the adiabatic Born-Oppenheimer expansion does not satisfy the necessary condition for the applicability of perturbation theory. A simple example of an exact solution of a problem that can not be obtained from the Born-Oppenheimer expansion is given. A new version of perturbation theory for molecular systems is proposed.
Probability-free relativistic kinetic theory of classical systems of charged particles
Authors: Zakharov A Yu 
Published: October 2020

Abstract
In the complete system of equations of evolution of the classical system of charges and the electromagnetic field generated by them, the field variables are excluded. An exact closed relativistic non-Hamiltonian system of nonlocal kinetic equations, that describes the evolution of a system of charges in terms of their microscopic distribution functions, is obtained. The solutions of this system of equations are non-invariant with respect to time reversal, and also have the property of hereditarity.
Representing stand-alone automata by characteristic polynomials over a finite field
Authors: Zakharov V M , Shalagin S V , Eminov B F 
Published: October 2020

Abstract
This paper proposes a method of representing a deterministic stand-alone output automaton by a minimal characteristic polynomial over a finite field. It is shown that defining various automaton transition and output functions allows using the algorithm developed to build the sets of minimal polynomials, different in their powers. Estimates of the relevant sets are given here. We have identified the relation between a characteristic minimal polynomial and an ergodic stochastic matrix defining the sequence developed by a stand-alone automaton. It is shown that the minimal degree of a characteristic polynomial depends linearly on the power of the automaton state set and on the accuracy of representing the elements of a given limiting vector of a stochastic matrix.
Modeling of the reflected signal of a ground penetrating radar
Authors: Zasukhina N I , Mikhailov V N 
Published: October 2020

Abstract
The objective of this paper is the simplified model of the reflected signal during subsurface sounding. Physical processes which influence the propagation of the electromagnetic wave are examined in the article. The process of accounting for reflecting local objects situated in the path of the sounding signal propagation is explained in the article. The proposed model is implemented in MatLab software.
Feature of the behavior of structural order parameter in course of plastic deformation by twisting
Authors: Zavorotnev Yu D , Metlov L S , Glezer A M , Zakharov A Yu , Tomashevskaya E Yu 
Published: October 2020

Abstract
On the basis of phenomenological theory by Landau, anomalous behavior of the structural order parameter in the course of plastic deformation by twisting has been explained. The initial loss in the modulus of the order parameter is determined by an energy increase at the beginning of twisting loading and close energies of the primary phase and the secondary one. The minimum and the succeeding increment in the modulus are related to the emerged spiral structure that is a stable state. After that the stage of plasticity is achieved and the modulus value becomes stabilized after the maximum determined by he pre-history has been past. Start your abstract here.
Conditionality of the principal component method in the problem of calculating the composite index of a system from a series of observations
Authors: Zhgun T V 
Published: October 2020

Abstract
The construction of the integral characteristic of the system based on a number of observations containing errors can be considered as the problem of extracting useful signal against a background of noise. Principal component analysis (PCA) is widely used to find the most characteristic features in the data and to reveal their structure. However, in practice, PCA is rarely used to determine the weights of composite indices. This is partly because the weights determined using PCA often contradict intuitive ideas about the properties of the analyzed system. One of the possible reasons for the occurrence of such situations may be the poor conditioning of the PCA - the influence of irremovable data errors on the determination of the eigenvalues and eigenvectors in PCA. The covariance matrices for different observations can be interpreted as a perturbation of the true unknown covariance matrix that determines the structure of the system. The error in calculating the eigenvalues of an unknown covariance matrix can be estimated a posteriori from the available values of the observed covariance matrices. The obtained estimates should be used when choosing computationally significant principal components that satisfy the criterion of information content, which works correctly in the case of noisy data.
Investigation of data quality in the problem of calculating the composite index of a system from a series of observations
Authors: Zhgun T V 
Published: October 2020

Abstract
The article discusses the use of the finite difference method for assessing the quality of data in the problem of calculating a composite indicator of system quality based on a number of observations. For this technique to be applicable, the data must be approximated with polynomials of lower degrees than the number of observations minus one. The assumption is tested empirically on a specific data set. 37 variables characterizing the quality of life of the population of Russia for 2010-2017 are considered. The dependences of the quality of data approximation on the degree of polynomial regression are analyzed. The results of the numerical experiment make it possible to draw a conclusion about the legitimacy of evaluating data errors using the finite difference method. The use of the finite difference apparatus for analyzing of the fetch shows the presence of fatal errors from 0.59% to 28.92%. Therefore, obtaining the composite characteristics of objects on the basis of such data must necessarily take into account the presence of a fatal error. In particular, the number of parameters characterizing the system should be large enough to compensate for random errors with averaging.
On the evolution of classic charged particles
Authors: Zubkov V V , Zubkova A V 
Published: October 2020

Abstract
In this work, we obtain a closed system of equations for the non-probabilistic microscopic distribution functions of charged point particles moving in the electromagnetic field generated by them. The laws of change of both the total energy of a system of charged point particles and its momentum are also derived. All calculations have been performed in the covariant form. The resulting equations describe an irreversible evolution.
Analysis of β-d-glucan biosynthetic genes in oat reveals glucan synthesis regulation by light
Authors: Zhang Jing , Yan Lin , Liu Minxuan , Guo Ganggang , Wu Bing 
Published: October 2020

Abstract

Background and Aims
Oat (Avena sativa) has human health benefits when consumed as a whole-grain food, attributed to the high content of (1,3;1,4)-β-d-glucan (mixed-linkage glucan [MLG]), but little is known about the synthase genes and synthesis mechanism of MLG polysaccharides in this species.

Methods
The concentration of oat MLGs under different light intensities was measured by a standard enzymatic approach and further verified by immunoelectron microscopy. The effect of light intensity on MLG synthase genes was examined by RT–qPCR and western blot analyses. The pattern of expression directed by the promoter of the oat MLG synthase gene was also investigated by histochemical β-glucuronidase (GUS) analysis.

Key Results
The oat orthologues of genes implicated in the synthesis of MLG in other cereals, including cellulose synthase-like (Csl) F, H and J gene families, were defined. Transcript profiling of these genes across oat tissues indicated that AsCslF6 transcripts dominated. Under high light intensities, the expression of AsCslF6, a major isoform of the MLG synthase genes, increased to &gt;30 % of the dark growth control. The amount of MLG in oat rose from 0.07 to 1.06 % with increased light intensity. Histochemical tests showed that the AsCslF6 gene promoter preferentially directs GUS expression under high light intensity conditions.

Conclusions
Oat MLG synthesis is regulated by light. High light intensity upregulates the expression of the MLG synthase AsCslF6 gene, leading to an increase in the amount of MLG in oat leaves.
Congenital myasthenic syndrome due to a TOR1AIP1 mutation: a new disease pathway for impaired synaptic transmission
Authors: Cossins Judith , Webster Richard , Maxwell Susan , Rodríguez Cruz Pedro M , Knight Ravi , Llewelyn John Gareth , Shin Ji-Yeon , Palace Jacqueline , Beeson David 
Published: October 2020

AbstractCongenital myasthenic syndromes are inherited disorders characterized by fatiguable muscle weakness resulting from impaired signal transmission at the neuromuscular junction. Causative mutations have been identified in genes that can affect the synaptic function or structure. We identified a homozygous frameshift deletion c.127delC, p. Pro43fs in TOR1AIP1 in two siblings with limb-girdle weakness and impaired transmission at the neuromuscular synapse. TOR1AIP1 encodes the inner nuclear membrane protein lamin-associated protein 1. On muscle biopsy from the index case, lamin-associated protein 1 was absent from myonuclei. A mouse model with lamin-associated protein 1 conditionally knocked out in striated muscle was used to analyse the role of lamin-associated protein 1 in synaptic dysfunction. Model mice develop fatiguable muscle weakness as demonstrated by using an inverted screen hang test. Electromyography on the mice revealed a decrement on repetitive nerve stimulation. Ex vivo analysis of hemi-diaphragm preparations showed both miniature and evoked end-plate potential half-widths were prolonged which was associated with upregulation of the foetal acetylcholine receptor γ subunit. Neuromuscular junctions on extensor digitorum longus muscles were enlarged and fragmented, and the number of subsynaptic nuclei was significantly increased. Following these findings, electromyography was performed on cases of other nuclear envelopathies caused by mutations in LaminA/C or emerin, but decrement on repetitive nerve stimulation or other indications of defective neuromuscular transmission were not seen. Thus, this report highlights the first nuclear membrane protein in which defective function can lead to impaired synaptic transmission.
Brazilian National Household Health Survey and PCAT: the case of Mato Grosso do Sul, Brazil
Authors: Pinto L F , Soranz D , Santos L J , Paranhos M S , Malta L S , Bonfante J , Vilela A W S 
Published: October 2020

Abstract
Brazil is divided into five administrative regions, 27 federation units and 5,570 municipalities. Mato Grosso do Sul is one of the states located in the Midwest region and has 1.6 million km2 and a resident population of 2.8 million inhabitants, that is, it has an even lower demographic density than its region - only 7.8 inhabitants/km2. Mato Grosso do Sul has part of the Pantanal, a biome considered the largest continuous floodplain in the world, rich in biodiversity. For this reason, displacements for data collection in household surveys combine roads and rivers. In 2019, the Brazilian National Institute of Geography and Statistics (Istituto Nazionale di Statistica del Brasile) in partnership with the Ministry of Health launched the world's largest household sample survey, the National Health Survey (PNS-2019), in which part of its questions included the use of Primary Care Assessment Tool (PCAT, adult version), created by professors Barbara Starfield and Leiyu Shi in the 2000s. IBGE interviewers visited more than 100,000 households across the country. In Mato Grosso do Sul, more than 3,000 households were surveyed. In this work, we present the data collection instrument used by IBGE and its multiple analysis possibilities in the scope of primary health care, crossing the variables from other questionnaire modules in order to compare the results from Brazil with the state of Mato Grosso do Sul and its capital, Campo Grande. Developing a baseline and measuring the attributes of primary health care in each of the Brazilian states is another step towards giving health policy accountability, towards strong primary care. IBGE's experience in household surveys and innovation in data collection in primary care is an example for the world that yes, it is possible to develop statistically representative national sample surveys and make them perennial in their regular household surveys, by the time World Health Organization (WHO) discusses universal health coverage.

Key messages
Evaluation of primary care using an internationally validated instrument is possible on national bases with random household sample surveys. A questionnaire elaborated academically can be used as an instrument of public policy to evaluate nationwide health services.