bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the seven-diagonals splitting for the cubic spline wavelets with six vanishing moments on an interval
Authors: Shumilov B M 
Published: December 2021

Abstract
This study uses a zeroing property of the first six moments for constructing a splitting algorithm for the cubic spline wavelets. First, we construct a system of cubic basic spline-wavelets, realizing orthogonal conditions to all polynomials up to any degree. Then, using the homogeneous Dirichlet boundary conditions, we adapt spaces to the orthogonality to all polynomials up to the fifth degree on the closed interval. The originality of the study consists of obtaining implicit finite relations connecting the coefficients of the spline decomposition at the initial scale with the spline coefficients and wavelet coefficients at the nested scale by a tape system of linear algebraic equations with a non-degenerate matrix. After excluding the even rows of the system, the resulting transformation matrix has seven diagonals, instead of five as in the previous case with four zero moments. A modification of the system is performed, which ensures a strict diagonal dominance, and, consequently, the stability of the calculations. The comparative results of numerical experiments on approximating and calculating the derivatives of a discrete function are presented.
Estimates for solutions of systems of linear equations with circulant matrices
Authors: Volkov Yu S , Novikov S I 
Published: December 2021

Abstract
In the present paper we consider the problem to estimate a solution of the system of equations with a circulant matrix in uniform norm. We give the estimate for circulant matrices with diagonal dominance. The estimate is sharp. Based on this result and an idea of decomposition of the matrix into a product of matrices associated with factorization of the characteristic polynomial, we propose an estimate for any circulant matrix.
Russian-English dataset and comparative analysis of algorithms for cross-language embedding-based entity alignment
Authors: Gnezdilova V A , Apanovich Z V 
Published: December 2021

Abstract
The problem of data fusion from data bases and knowledge graphs in different languages is becoming increasingly important. The main step of such a fusion is the identification of equivalent entities in different knowledge graphs and merging their descriptions. This problem is known as the identity resolution, or entity alignment problem. Recently, a large group of new entity alignment methods has emerged. They look for the so called “embeddings” of entities and establish the equivalence of entities by comparing their embeddings. This paper presents experiments with embedding-based entity alignment algorithms on a Russian-English dataset. The purpose of this work is to identify language-specific features of the entity alignment algorithms. Also, future directions of research are outlined.
The selective regularization of a linear regression model
Authors: Lutay V N , Khusainov N S 
Published: December 2021

Abstract
This paper discusses constructing a linear regression model with regularization of the system matrix of normal equations. In contrast to the conventional ridge regression, where positive parameters are added to all diagonal terms of a matrix, in the method proposed only those matrix diagonal entries that correspond to the data with a high correlation are increased. This leads to a decrease in the matrix conditioning and, therefore, to a decrease in the corresponding coefficients of the regression equation. The selection of the entries to be increased is based on the triangular decomposition of the correlation matrix of the original dataset. The effectiveness of the method is tested on a known dataset, and it is performed not only with a ridge regression, but also with the results of applying the widespread algorithms LARS and Lasso.
A lobster-inspired multi-robot control strategy for monitoring non-stationary concentration fields
Authors: Bychkov I V , Tolstikhin A A , Ulyanov S A 
Published: December 2021

Abstract
We propose a new lobster-inspired chemotaxis decentralized control strategy for monitoring a non-stationary concentration field using a team of nonholonomic mobile robots. The task of the team is to locate and trace the movement of the point (or points) with the highest field value (i.e. source), provided that the robots are not aware of the dynamics of the field and can only periodically sample the field at their locations. As an example of the concentration field we consider a population of biological species modeled by a self-organizing multi-agent system with agents acting as individuals of the population in accordance with some flocking rules. The proposed strategy combines the lobsters’ plume localization behavior and flocking mechanisms to efficiently solve the problem even with a small group of robots. Simulations and experimental works on physical unicycle robots are performed to validate the efectiveness of the approach for the cases of non-stationary fields.
A computational model of the cereal leaves hydraulics
Authors: Nikolaev S V , Zubairova U S 
Published: December 2021

Abstract
Environmental factors and plant architectonics significantly determine its water regime, namely, the water content and its movement through the tissues forced by the difference in water potentials, turgor pressure in cells, etc. In turn, the cumulative water regime affects the functioning and growth of cells, photosynthesis, and, as a result, the plant’s growth. The leaf contributes to the formation of the water regime and characterizes the contour of the plant’s adaptive system. Nevertheless, the data on the contribution of leaves to the total resistance to water transport in the plant and the structure of the hydraulic resistance of the leaf itself is still contradictory. This paper presents the formulation and justification of the monocots leaf hydraulics model based on Darcy’s law. The model was tested in computational experiments in the Comsol 4.3b package on idealized geometric models of leaf blades. Simulations showed the dependence of water potential distribution in xylem vessels and leaf mesophyll on the permeability of these tissues and on microclimatic parameters around the leaf. The adequacy of the model parameters selected as a result of testing is discussed.
The problem of identification an unknown substance by the radiographic method
Authors: Nazarov V G 
Published: December 2021

Abstract
This paper considers the problem of partial identification of the chemical composition of an unknown medium by the multiple X-ray of this medium. A sample of an unknown substance is assumed to be homogeneous in its chemical composition, and the photon flux, collimated both in direction and in energy. A mathematical model for the identification problem is formulated. The approach proposed to solving the problem is based on the method of singular value decomposition of a matrix. At the first stage of the solution the problem is reduced to finding singular numbers and singular vectors for the series systems of algebraic equations linear with respect to products of unknown quantities. Then, based on the data obtained, a special function is built, called an indicator to the distinguishability of substances, which enables the sufficient conditions for the distinguishability of various substances. Based on the tabular data, calculations were made for a number of specific groups of chemical elements.
Regularization of inclusions of differential equations solutions based on the kinematics of a vector field in stability problems
Authors: Rogalev A N 
Published: December 2021

Abstract
This paper presents the new results of computing the inclusions of sets of solutions of ordinary differential equations corresponding to perturbations acting on the solutions of the system. The regularization of algorithms for the inclusion of solutions is investigated. Inclusions of solutions are used to study the stability over a finite time interval under perturbations of the system parameters. The boundaries of solutions sets using methods that construct symbolic formulas that characterize the behavior of the system are computed. In this case, the Influence of permanent disturbances on the solutions is taken into account. It is proposed to use the parameters of the vector field of the problem in order to compensate for a strong growth of the computable solution boundaries, which is often encountered in many methods. This means the regularization of the problem of estimating inclusions of solution sets.
On the protective layer boundary determining error in the thermal conductivity inverse problem
Authors: Tanana V P , Korzhova M E , Markov B A 
Published: December 2021

Abstract
The article studies the problem of determining the error introduced by the inaccuracy of determining the thickness of a protective heat-resistant coating for composite materials. The mathematical problem is the heat conduction equation on an inhomogeneous half-line. The temperature on the outer side of the half-line (x = 0) is considered unknown on an infinite time interval. To find it, the temperature is measured at the media section at the point x = x0. An analytical study of the direct problem is carried out in the work. It made it possible to formulate the inverse problem mathematically rigorously and to define functional spaces in which it is convenient to solve the inverse problem. The main difficulty to be solved in the article is to obtain an estimate of the approximate solution error. The projection regularization method is used to estimate the modulus of conditional correctness, with the help of which order-exact estimates are obtained.
A circular layout algorithm for attributed hierarchical graphs with ports
Authors: Kasyanov V N , Merculov A M , Zolotuhin T A 
Published: December 2021

Abstract
Information visualization based on graph models is a key component of support tools for many applications in science and engineering. The Visual Graph system is intended for visualization of big amounts of complex information on the basis of attributed hierarchical graph models. In this paper, a circular layout algorithm for attributed hierarchical graphs with ports and its effective implementation in the Visual Graph system are presented.
Support tools for functional programming distance learning and teaching
Authors: Kasyanov V N , Kasyanova E V , Malishev A A 
Published: December 2021

Abstract
The cloud parallel programming system CPPS being under development at the A.P. Ershov Institute of Informatics Systems SB RAS is based on the Cloud Sisal language which carries on the traditions of previous versions of the Sisal language while remaining a functional data-flow language focused on writing large scientific programs and expanding their capabilities by supporting cloud computing. In this paper, the online environment of the CPPS system which allows a user on any device with Internet access to develop and execute functional programs in the Cloud Sisal language is considered.
The diameter vulnerability of two-dimensional optimal circulant networks
Authors: Monakhova E A , Monakhov O G 
Published: December 2021

Abstract
This paper studies the effect of changing the diameter of the network in circulant networks of dimension two with unreliable elements (nodes, links). The well-known (Δ,D,D′, s)-problem is to find (Δ, D)-graphs with maximum degree Δ and diameter D such that the subgraphs obtained from the original graph by deleting any set of up to s vertices (edges) have diameter at most D′. For a family of optimal circulants of degree four we found the ranges of the orders of the graphs that preserve the diameter of the graph for one (two) vertex or edge failures. It is proved that in the investigated circulant networks in case of failure of one or two edges (vertices), the diameter can increase by no more than one, and in case of failure of three elements by no more than two (edge failures) or three (vertex failures). It is shown that two-dimensional optimal circulants, in comparison with two-dimensional tori, have a better diameter in case of element failures.
Co-authorship network structure analysis
Authors: Scherbakova N G , Bredikhin S V 
Published: December 2021

Abstract
The analysis of networks of collaboration between scientists reveals features of academic communities that help in understanding the specifics of collaborative scientific work and identifying the notable researchers. In these networks, the set of nodes consists of authors and there exists a link between two authors if they have coauthored one or more papers. This article presents an analysis of the co-authorship network based on bibliometric data retrieved from the distributed economic database. Here we use the simple network model without taking into account the strength of collaborative ties. The data were analyzed using statistical techniques in order to get such parameters as the number of papers per author, the number of authors per paper, the average number of coauthors per author and collaboration indices. We show that the largest component occupies near 90 % of the network and the node degree distribution follows a power-law. The study of typical distances between nodes and the degree of clustering makes it possible to classify the network as a ‘small world’ network.
Recovery of the parameters of a focal zone by the data of earthquakes
Authors: Bogdanov V V , Yu Derevtsov E , Volkov Yu S 
Published: December 2021

Abstract
We present an approach for solving the inverse kinematic problem of seismic with internal sources, based on the method of multidimensional data approximation on irregular grids. The times of arrival of elastic waves to the seismic stations are considered as known. The hodographs from earthquake to the stations are approximated for further determining the velocities of longitudinal and transverse waves using the eikonal equation. The ratio of these velocities determines the Poisson’s ratio, and the other elastic parameters of the medium can be found in units of the density. The results of implementation of the approach, based on the real data, are presented.
Modeling of solar magnetic field using the kinematic-gravitational ion dynamo model
Authors: Kochnev V A 
Published: December 2021

Abstract
In present article the kinematic-gravitational ion dynamo model accounting for influence of tidal forces on electric currents in ionized substances is applied to modeling of the magnetic field of the Sun. Estimates of currents and field values obtained using a seven-layer model indicate that tidal forces influence is not insignificant. A correlation method for assessment of the Sun’s polarity was created and applied for a detailed analysis of the polarity of magnetic field of the Sun in the 21 and 22 cycles.
Estimation of the probability of two consecutive passages through resonance during the descent of an asymmetric rigid body in a rarefied atmosphere
Authors: Lyubimov V V 
Published: December 2021

Abstract
A two-frequency nonlinear system of ordinary differential equations is considered. This system describes the perturbed motion of a rigid body with considerable asymmetry in a rarefied atmosphere. It is known that when the frequencies of this system of equations coincide, the phenomena of capture or passage through the principal resonance, which have a random nature, are possible. In this case, the probability of a passage through the resonance is calculated from the initial conditions on the separatrix. The objective of this study is to obtain an expression for estimating the probability of two consecutive passages through the resonance regions during the descent in the rarefied atmosphere of Mars of a rigid body with significant geometric and aerodynamic asymmetry.
Monte Carlo simulation of halos in the crystal clouds
Authors: Mu Q , Kablukova E G , Kargin B A , Prigarin S M 
Published: December 2021

Abstract
In this paper, we try to answer the question: how the multiple scattering, the sun elevation, shape and orientation of ice crystals in the cirrus clouds affect a halo pattern. To study the radiation transfer in optically anisotropic clouds, we have developed the software based on Monte Carlo method and ray tracing. In addition to halos, this software enables one to simulate “anti-halos”, which above the cloud layer can be seen by observers. We present the visualization of halos and anti-halos generated by the cirrus clouds for different shapes and orientations of ice crystals.
Measurement of the angular distribution of wavelength-shifted light emitted by TPB
Authors: Schrott J. , Sakai M. , Naugle S. , Orebi Gann G.D. , Kravitz S. , McKinsey D. , Smith R.J. 
Published: December 2021

Abstract
We present measurements of the angular distribution of
re-emitted light from tetraphenyl butadiene thin films when exposed
to 128 nm light, which is the peak of the liquid Argon (LAr)
scintillation spectrum, in vacuum. Films ranging from 250 nm to
5.5 μm in thickness are measured. All films were fabricated
by evaporation deposition on ultraviolet transmitting (UVT) acrylic
substrates. Preliminary comparisons of the angular distribution to
that produced by a detailed Monte Carlo model are also
presented. The current shortcomings of the model are discussed and
future plans briefly outlined.
A storyline view of the projected role of remote drivers on summer air stagnation in Europe and the United States
Authors: Garrido-Perez Jose M , Ordóñez Carlos , Barriopedro David , García-Herrera Ricardo , Schnell Jordan L , Horton Daniel E 
Published: December 2021

Abstract
Storylines of atmospheric circulation change, or physically self-consistent narratives of plausible future events, have recently been proposed as a non-probabilistic means to represent uncertainties in climate change projections. Here, we apply the storyline approach to 21st century projections of summer air stagnation over Europe and the United States. We use a Climate Model Intercomparison Project Phase 6 (CMIP6) ensemble to generate stagnation storylines based on the forced response of three remote drivers of the Northern Hemisphere mid-latitude atmospheric circulation: North Atlantic warming, North Pacific warming, and tropical versus Arctic warming. Under a high radiative forcing scenario (SSP5-8.5), models consistently project increases in stagnation over Europe and the U.S., but the magnitude and spatial distribution of changes vary substantially across CMIP6 ensemble members, suggesting that future projections are not well-constrained when using the ensemble mean alone. We find that the diversity of projected stagnation changes depends on the forced response of remote drivers in individual models. This is especially true in Europe, where differences of ∼2 summer stagnant days per degree of global warming are found amongst the different storyline combinations. For example, the greatest projected increase in stagnation for most European regions leads to the smallest increase in stagnation for southwestern Europe; i.e. limited North Atlantic warming combined with near-equitable tropical and Arctic warming. In the U.S., only the atmosphere over the northern Rocky Mountain states demonstrates comparable stagnation projection uncertainty, due to opposite influences of remote drivers on the meteorological conditions that lead to stagnation.
Utilization of Water Hyacinth (Eichhornia crassipes) and Corncob (Zea mays) in Epoxy-based Biocomposite Board for Cool Box Thermal Insulation Material
Authors: Sruti N M K S , Jenaneswari P R , Rahayu M R , Syamani FA 
Published: December 2021

Abstract
Generally, the cool box is produced using styrofoam as the main thermal insulation material. However, the use of styrofoam potentially cause pollution to the environment at the end of its useful life because it cannot decompose naturally. The effort to overcome this problem is by producing thermal insulation materials from natural sources such as water hyacinth and corncob. The purpose of this study was to determine the characteristics of biocomposite board made from combination of water hyacinth powder and corncob ash based on physical, mechanical, and thermal conductivity analysis. Biocomposite boards were produced by introducing combination of water hyacinth powder and corncorb ash (5, 10, 15%wt) into epoxy resin. The ratio of water hyacinth powder and corncob ash were 100:0 (P0), 95:5 (P1), 90:10 (P2), 85:15 (P3). The biocomposite boards were also made from water hyacinth powder and corncob powder, which ratio of 15:85 (P4) and 0:100 (P5). The results of this research revealed that type P5 board had the lowest density value (0.927 g / cm3) and the lowest water absorption value (1.53%). The P2 type board shows the highest bending strength (8.6 N/mm2) which met the requirements of JIS A 5908 for particleboards type 8. The highest value of compressive strength was observed at P5 type board which was 2.94 ± 0.53 N / mm2. The lowest thermal conductivity values were observed at P2 type boards (0.305 W / mK). It can be concluded that, P2 type board had the best thermal insulator properties among other boards in this study. The thermal insulation effectiveness assessment of biocomposite board for cool box application was conducted using P2 and P5 type boards. The assessment results demonstrated that the styrofoam cool box and commercial cool box performance for maintaining temperature were superior compared to biocomposite cool box. Therefore, it is necessary to re-examine the biocomposite cool box, especially in terms of panel assembling and the shape of the lid, to produce biocomposite cool box with thermal insulator properties comparable to the commercial cool box.
Enhancement of maltodextrin-based adhesive properties using ammonium dihydrogen phosphate (ADP)
Authors: Dewi G K , Widyorini R , Lukmandaru G 
Published: December 2021

AbstractMaltodextrin is a new saccharide-based adhesive that can be potentially developed as an alternative for particleboard due to its abundant resources. The addition of ammonium dihydrogen phosphate (ADP) was expected to be able to improve the properties of the maltodextrin, especially the water resistance of the cured adhesive. This study aimed to investigate the properties of maltodextrin/ADP adhesive in the ratios of 100/0, 90/10 and 80/20 wt%. The results showed that the increasing ratio of ADP in maltodextrin-based adhesive can increase not only the insoluble matter rate during boiling condition, but also the other adhesive properties of maltodextrin by lowering the viscosity and increasing the wettability tested in salacca frond particles. The pH adhesive decreased along with the increased ADP ratio. Oneway analysis of variance and Tukey test showed that the maltodextrin/ADP ratios significantly affected the adhesive properties. The thermogravimetric analysis (TGA) of dried mixture adhesive showed the significant changes in the onset and the highest weight reduction temperature of maltodextrin after the ADP addition. The FTIR analysis detected some new peaks that were expected to be related to furan ring and carbonyl groups after the maltodextrin/ADP 90/10 and 80/20 wt% were heated at 200°C for 10 minutes and/or 15 minutes. Maltodextrin/ADP 80/20 wt% had the best adhesive properties for particleboard application.