bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin of primordial black holes in the model with collapsing domain walls
Authors: Eroshenko Yu. N. 
Published: December 2021

Abstract
The angular momentum (spin) acquisition by a collapsing domain wall at the cosmological radiation-dominated stage is investigated. During the collapses, primordial black holes and their clusters can be born in various mass ranges. Spin accumulation occurs under the influence of tidal gravitational perturbations from the surrounding density inhomogeneities at the epoch when the domain wall crosses the cosmological horizon. It is shown that the dimensionless spin parameter can have the small values aS
< 1 only for primordial black holes with masses M > 10-3M☉, whereas less massive black holes receive extreme spins aS
≃ 1. It is possible that primordial black holes obtain an additional spin due to the vector mode of perturbations.
Solving Surface Deformation of Radio Telescope Antenna by Artificial Neural Network
Authors: Wang Bo-Yang , Ye Qian , Fu Li , Meng Guo-Xiang , Wang Jin-Qing , Liu Qing-Hui , Shen Zhi-Qiang 
Published: December 2021

Abstract
Recent investigations have derived the relation between the near-field plane amplitude and the surface deformation of reflector antenna, namely deformation-amplitude equation (DAE), which could be used as a mathematical foundation of antenna surface measurement if an effective numerical algorithm is employed. Traditional algorithms are hard to work directly due to the complex mathematical model. This paper presents a local approximation algorithm based on artificial neural network to solve DAE. The length factor method is used to construct a trial solution for the deformation, which ensures the final solution always satisfies the boundary conditions. To improve the algorithm efficiency, Adam optimizer is employed to train the network parameters. Combining the application of the data normalization method proposed in this paper and a step-based learning rate, a further optimized loss function could be converged quickly. The algorithm proposed in this paper could effectively solve partial differential equations without boundary conditions such as DAE, which at the same time contains the first-order and the second-order partial derivatives, and constant terms. Simulation results show that compared with the original algorithm by Fast Fourier transform, this algorithm is more stable and accurate, which is significant for the antenna measurement method based on DAE.
Automation of data processing of the results of the chemical experiment on modeling the production of synthetic rubber using Microsoft Excel
Authors: Mikhailova Tatiana , Mustafina Sofia , Mikhailov Vladimir 
Published: December 2021

Abstract
The article presents an approach to the processing of chemical experiment’s data using a Microsoft Excel software. Instead of storing the experiment data in text files, it is proposed to use a Microsoft Excel file of a certain structure. A macro has been developed to automate the process of transferring data from text files to a common file. The described approach can be applied when solving problems accompanied by storing a large amount of statistical data, which can be obtained as a result of natural or computational experiments. The macro has been tested on the data of a laboratory and numerical experiment on the synthesis of a styrene-butadiene copolymer. This copolymer is formed as a result of carrying out the process of copolymerization in continuous mode in a cascade of continuous stirred tank reactors. The results of the experiment are the characteristics of the formed product for each reactor of the cascade at the end of each hour of process modeling. Transferring data into a single file of a certain structure allows you to graphically present the results of the experiment and facilitates further analysis of the characteristics of the product being studied, depending on the formulation and process conditions.
Comparative Study of Acoustic Parameter Reconstruction by using Optimal Control Method and Inverse Scattering Approach
Authors: Shishlenin Maxim A. , Izzatulah Mohammad , Novikov Nikita S. 
Published: December 2021

Abstract
Reconstruction of acoustic parameter such as acoustic velocity considers as part of inverse problems for mathematical physics and reasonable reconstruction of this parameter will assist solving interrelated problem such as inversion and imaging which are popular in the field of seismic imaging. In this work, we studied and conducted a comparative study between two methods; the optimal control method and inverse scattering approach. In optimal control method we are using conjugate gradient method for reconstructing the desired acoustic parameter while for inverse scattering approach, we are introducing the application of Marchenko integral equation. Furthermore, the numerical results for both approaches are presented for one dimensional problem along with the analysis from this comparative study.
The Stabilization of the Solution of an inverse Problem for the Pseudoparabolic Equation
Authors: Lyubanova A. Sh. , Velisevich A. V. 
Published: December 2021

AbstractThe asymptotic behavior of the strong solution to the inverse problem on recovering an unknown coefficientk(t) in a pseudoparabolic equation (u+ηMu)t+Mu+k(t)u=fis investigated. The differential operatorMof the second order with respect spacial variables is supposed to be elliptic and selfajoint. It is proved that the solution of the inverse problem stabilizes to the solution of the appropriate stationary inverse problem ast→ + ∞.
Artificial neural network for solving multi-parameter optimization problems
Authors: Olga Krivorotko , Shuang Liu 
Published: December 2021

Abstract
An artificial neural network (ANN) is a mathematical or computational model that simulates the structure and function of biological neural networks used to evaluate or approximate functions at given points. After developing the training algorithm, the resulting model will be used to solve image recognition problems, control problems, optimization, etc. In the process of ANN training, the algorithm of backpropagation is used in the case of convex optimization functions. The article is analyzed test functions for experiments and also study the effect of the number of ANN layers on the quality of approximation in cases one-, two- and three-dimensional. The backpropagation method is improved during the experiments with the help of adaptive gradient, as a result of which more accurate approximations of the functions are obtained. This article also presents the numerical results of test functions.
Approaches for investigation of oriented cracks of reservoirs using multicomponent VSP
Authors: Gorshkalev S B , Karsten W V , Vishnevsky D M , Yaskevich S V 
Published: December 2021

Abstract
The paper analyses the VSP data inversion in order to determine elastic constants of a transversely isotropic medium with a horizontal axis of symmetry of an infinite order (HTI), simulating an oriented fractured reservoir. Acquisition system of VSP is characterized by the absence of sub-horizontal directions of propagation of seismic waves. In this regard, it was necessary to determine the accuracy with which the elastic constants of the anisotropic layer are restored. The seismograms of the full wave field were selected as the initial data, calculated synthetically for the model of the medium containing azimuthally anisotropic layers. A complex of compressional and shear waves propagating from a source and recorded in the well. In such layers, the shear wave incident on the roof of the HTI layer splits into two waves that propagate at different velocities and have a mutually orthogonal displacement vectors. The processing task was to select waves S
1 and S
2 and build their arrival time curves. These arrival time curves were used in the inversion. The inversion was solved in the form of minimizing the functional of the mean square residual. Elastic constants, determined by inversion, almost exactly coincided with the model ones. The results obtained show the validity of the chosen approach for solving the inverse problem.
Modeling the integral risk assessment for air pollution in the areas of highways by probabilistic methods
Authors: Shagidullin A.R. , Tunakova Yu.A. , Novikova S.V. , Valiev V.S. 
Published: December 2021

Abstract
A methodology for calculating the integral risk of atmospheric pollution using Bayes’s theorem is proposed to take into account the action of mobile and stationary emission sources in the influence zones of highways, the response to the impact in the form of accumulation of emission components in depositing media and biological media of the population. At the first stage, the clustering of experimental data arrays was carried out, homogeneous road sections (clusters) were identified. The integral risk was calculated for the selected clusters. The risks of contamination of the investigated media have been calculated. A multiple regression model has been built to assess the level of integral risk with a high degree of reliability when compared with experimental data. The significance of the aerogenic factor in the formation of the level of integral risk is shown. A reduced model for assessing the integral risk by the level of risk of atmospheric air pollution is proposed. Grades of risk levels are given according to the degree of acceptability. It is possible to determine the contribution of the road transport component to the level of integral risk based on the obtained values of the final risk.
Using the automated Verasonics system for physical modeling of skeletal muscle biomechanics
Authors: Sinitsyn P M , Yu Demin I , Lisin A A , Spivak A E , Sinitsyna Yu V 
Published: December 2021

Abstract
The paper describes the use of the Verasonics research system for physical modeling of skeletal muscle biomechanics. The scheme of the acoustic system is described. The path of receiving and processing the signal is presented. A brief overview of the operation of software algorithms for the implementation of methods of ultrasound diagnostics is made. A mathematical model of skeletal muscle as a flat-layered medium is considered. The implementation of this model in the form of a fibers agar phantom is proposed. Using the Verasonics acoustic system shear velocities of physical fibers agar phantom were measured. Shear modules for agar and fibers were calculated. The obtained values are consistent with similar characteristics of native muscles and connective tissue fibers.
Tonality analysis in Wolfram Mathematica 12 computer algebra system
Authors: Gurin Anatoly A 
Published: December 2021

Abstract
Sentiment analysis is a class of methods that are used to automatically determine the tonality of statements in the text. There are many solutions and technologies to define of text tonality at the moment and the choice depends on task. With the release of Wolfram Mathematica 12 versions, it became possible to use included nlp methods for determination of text tonality. This article is about definition of text tonality in the wolfram Mathematica 12 using nlp and compare nlp methods with standard definition function.
A case study comparing static analysis tools for evaluating SwiftUI projects
Authors: Imbugwa Gerald Birgen , Araújo Luiz Jonatã Pires de , Khazeev Mansur , Enombe Ewane , Saliu Harrif , Mazzara Manuel 
Published: December 2021

Abstract
Declarative programming languages such as SwiftUI have gained increasing relevance for user interface implementation in mobile applications. A tool for evaluating and improving the quality of such projects is static analysis (SA). This study compares the usefulness of two of the most popular SA tools (SonarQube and Codacy) for evaluating real-world SwiftUI projects. Moreover, it recommends setup and adjustments to promote SA tools for SwiftUI projects that can be extended to other languages.
Evaluation of cell load of the LTE network based on control information decoding
Authors: Galimullin Bulat , Chirkov Daniil , Gaysin Artur , Ashaev Ivan 
Published: December 2021

Abstract
Cell load evaluation is the one of the tools used for the development of methods to increase quality of service (QoS) in cellular networks. For instance, the analysis of mobile traffic usage can be used for network optimization and management in terms of radio resources. Existing assessing methods, such as drive tests or passive evaluations based on analysis of physical channel indicators are either unreliable, inaccurate, or inconvenient. A cell load evaluation method based on decoding and analysing the control channels is presented. The method can reliably monitor the resource allocations and the throughput in a public mobile cell. A real LTE signal recorded from the eNodeB using software defined radio was analysed. The main indicators of the cell were determined, including the efficiency of using resource blocks, the number of active users, and the cell’s throughput. The accuracy of the algorithm was also evaluated in this paper.
SCMA-MIMO system with adaptation to the channel state
Authors: Pokamestov Dmitriy , Kryukov Yakov , Rogozhnikov Eugeniy , Kanatbekuli Islam , Dmitriyev Edgar 
Published: December 2021

Abstract
Sparse code multiple access (SCMA) is one of the promising implementations of non-orthogonal multiple access (NOMA) methods. SCMA provides high spectral efficiency and a large number of network resources. We describe a communication system with SCMA, space-time block coding (STBC), multiple input multiple output (MIMO) technology, and orthogonal frequency division multiplexing (OFDM). The architecture of such systems, including algorithms of formation and processing of signals is considered. A method for adapting signals to the state of the spatial channel transmission based on information about the matrix of channel coefficients is proposed. The application of such adaptation allows to compensate the influence of the channel and to reduce the probability of bit errors. We consider the bit error rate (BER) performance of the communication system in different channel models and show the effectiveness of the proposed methods.
Probabilistic model for the analysis of elastic session duration in wireless networks
Authors: Sopin Eduard , Daraseliya Anastasia , Shorgin Sergey 
Published: December 2021

AbstractIn wireless networks, the bitrate received by a user session depends not only on the fraction of allocated resources of the base station but also on the number of factors affecting the signal-to-noise ratio. These factors include a distance between a mobile device and the base station, walls, buildings between them, etc. As a result, the bitrate of elastic sessions may differ tenfold. In this paper, we develop a probabilistic model that captures the main specifics of the data transmission through a wireless network by introducing the random serving rate coefficients concept. With the help of the model, we derived the cumulative distribution function of the elastic session duration.
Study of charge carrier transport properties and lifetimes in HR GaAs:Cr with Timepix3
Authors: Smolyanskiy P. , Bergmann B. , Billoud T. , Burian P. , Sitarz M. , Søndergaard C. , Pospíšil S. 
Published: December 2021

Abstract
The response of a Timepix3 (256 × 256 pixels, pixel pitch 55 μm) detector with a 500 μm thick HR GaAs:Cr sensor was studied in proton beams of 125 MeV at the Danish Centre for Particle Therapy in Aarhus, Denmark and in a 120 GeV/c pion beam at the Super-Proton Synchrotron (SPS) at CERN. The sensor was biased at different voltages and irradiated at different angles. The readout chip was configured to operate in electron and hole collection modes. Measurements at grazing angles allowed to see elongated tracks with well-defined impact and exit points, so that charge carrier production depths could be determined in each pixel. We extracted the charge collection efficiencies and the charge carrier drift times as a function of the distance to the pixel plane. It was found that measured proton tracks are shorter in hole collection than in the case of electron collection, which is explained by the shorter lifetime of holes. At an angle of 60 degrees with respect to the sensor normal, the average track length in hole collection was ∼700 μm and 950 μm in electron collection mode. To understand the experimental findings, models describing the properties of HR GaAs:Cr were implemented into the Allpix2 simulation framework. We added previously presented experimental results describing the dependence of the electron drift velocity on the electric field and validated the response by comparing measurement and simulation for various X- and gamma-ray sources in the energy range of 10–60 keV. By comparison of the experimental and the simulated results, the mobility μ
h and the lifetime of holes τ
h were estimated as μ
h = (320 ± 10) cm2/V/s and τ
h = (4.5 ± 0.5) ns.
Generalising the Horodecki criterion to nonprojective qubit observables
Authors: Hall Michael J W , Cheng Shuming 
Published: December 2021

Abstract
The Horodecki criterion provides a necessary and sufficient condition for a two-qubit state to be able to manifest Bell nonlocality via violation of the Clauser–Horne–Shimony–Holt (CHSH) inequality. It requires, however, the assumption that suitable projective measurements can be made on each qubit, and is not sufficient for scenarios in which noisy or weak measurements are either desirable or unavoidable. By characterising two-valued qubit observables in terms of strength, bias, and directional parameters, we address such scenarios by providing necessary and sufficient conditions for arbitrary qubit measurements having fixed strengths and relative angles for each observer. In particular, we find the achievable maximal values of the CHSH parameter for unbiased measurements on arbitrary states, and, alternatively, for arbitrary measurements on states with maximally-mixed marginals, and determine the optimal angles in some cases. We also show that for certain ranges of measurement strengths it is only possible to violate the CHSH inequality via biased measurements. Finally, we use the CHSH inequality to obtain a simple necessary condition for the compatibility of two qubit observables.
Precipitation Water Vapour Variation in the East Java Region from Data CORS Using GIPSY
Authors: Handoko Eko Yuli , Kurniawan Akbar , Maulida Putra , Cemara Norma Aji 
Published: December 2021

Abstract
The Global Navigation Satellite System is being developed as an atmospheric remote sensing system through the calculation of Zenith Total Delay. The development of the Continous Operating Reference Station encourages research investigations into Zenith Tropospheric Delay with continuous data and good spatial resolution. This research studies the characteristics of spatial and temporal variations of the Zenith Wet Delay in East Jawa. The case study in East Jawa Province uses 16 Continous Operating Reference Stations. As a comparison, meteorological data from the Badan Meteorologi, Klimatologi, and Geofisika stations are used.The Zenith Total Delay and Zenith Wet Delay values from the Continous Operating Reference Station data are calculated using GIPSY 6.4 Software. The Zenith Wet Delay values are gridded using the kriging method with the size of the grids being 0,25 x 0,25. The ZWD value comparison from the Continous Operating Reference Station and meteorology data has a strong correlation with a coefficient value of 0,712. The mean of Zenith Wet Delay’s trend is increasing by about 0,712 mm/yr. The characteristics of the spatial and temporal variations of the ZWD value are influenced by the monsoon of Asia-Australian, which causes dry and rainy seasons, global phenomena such as El Nino and La Nina, rainfall, local meteorological conditions such as temperature and humidity, weather, and the topography of the stations.
Determination of the relevant multibeam echosounder frequency to estimate the suspended sediment concentrations for environmental damage monitoring of mass movement
Authors: Hariyanto I H , Pratomo D G , Maulana M A 
Published: December 2021

Abstract
The problem of environmental damages in the river area can transform the morphology and threaten the ecosystem in it with one of the causes being natural factors such as suspended sediment. Retracing the medium form is fluid, the common instrument to determine the condition of the area is a sound wave-based instrument such as a multibeam echosounder. Considering the improvement of multibeam echosounder which can acquire areas using many frequencies at one time, noted as multi-frequency multibeam echosounder, now its application can reach various fields including environmental monitoring. Factors that can be considered in its practice include time efficiency, cost, and notably the accuracy of the data result. By converting the results of the acquisition into an estimate of the concentration of suspended sediment and integrating the results from several frequencies, it will be established the applicable frequency usage. It was concluded that a multibeam echosounder with a frequency of 450 kHz was recommended in a case study to determine the concentration of suspended sediment. This is supported by a correlation value of 89.18% or a very high correlation.
The Suitability Analysis of Land Use and Building from BIM to Spatial Detail Plan
Authors: Sukojo Bangun Muljo , Rahmani Kania Hana 
Published: December 2021

Abstract
The development in urban areas will continue to occur, such as the construction of settlements, offices, shops, educational and health facilities, and other supporting facilities. With the development that will always continue to occur in a nation, it will also increase the productivity in its city. The rapid development of urban activities will also followed by high demand for land. This can lead to land conversion. Therefore, it is necessary to use the land to its optimal capacity and manage it wisely in order to produce a quality space that is maintained for its sustainability. Rules and regulations are compiled into a plan in the Guidelines for the Preparation of Detailed Spatial Planning (RDTR). This research conducted in North Gandaria Urban Village because the buildings are divided into three environments, namely densely populated settlements, middle to upper settlements, offices and shops which based on geometrical aspects have various building forms from small to large ratios. Each building has different diverse land and building usages. In this study, land use suitability was identified by manual and digital classification, namely by image interpretation and classifying using the Object Based Image Analysis (OBIA) method on SPOT-7 images which were then superimposed to produce land use maps. In addition, this study utilizes altitude data from LiDAR to complement building spatial data and is processed to BIM. BIM dimensions are made in 3D with Level of Development 100 or equivalent to Level of Details 1 which has a flat roof if converted. From this research resulted suitability of land use and buildings to carry out an analysis related to sustainability and can be used as consideration and input by the policy makers on spatial planning policies. Based on the results of the analysis, it was found that the suitability of land use was 95% classified suitable to spatial detail plan. To determine the suitability of the building in this study, it was seen from the activities of the building and the height of the building. Based on building activities, 9.30% of building activities that are not allowed and another 90.70% are classified as conditionally allowed buildings, allowed, limited alowed and limited and conditional. Meanwhile, based on the height of the building, there are 82.7% of buildings that comply with the spatial detail plan.