bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Structural Equation Modelling for Oil Accumulation System Control in Oleaginous yeast
Authors: Aburatani S , Shida Y , Ogasawara W , Yamazaki H , Takaku H 
Published: December 2019

Abstract
Recently, we developed a new statistical method for revealing the regulatory systems in living cells. Our method is based on Structural Equation Modelling combined with factor analysis. In generally, Structural Equation Modelling is utilized to detect the model adaptability with the measured data, such as large-scale questionnaire data. In this study, we improved our developed iteration algorithm and gene selection procedure to infer the causalities between variables as a regulatory network from limited numerical data. Our improved gene selection method is based on cross correlation to summarize the time preceding information from gene expression profiles, which were systematically measured at 8 time points. Cross correlation is usually utilized as a measure of similarity between two waves by a time-lag application, and we defined the values of lags ranging from −2 to +4. By this improved method, we selected 14 genes as regulatory factors for the specific system in oleaginous yeast. In the inferred model, only 6 genes among the selected 14 genes were considered to affect the volume of oil accumulation in a closed and specific system. Our method will be useful to artificially control cell systems in the bioproduction and biotechnology fields.
Application of Graph Theory to Evaluate Chemical Reactions in Cells
Authors: Aburatani Sachiyo , Kokabu Yuichi , Teshima Ryota , Ogawa Teppei , Araki Michihiro , Shiarai Tomokazu 
Published: December 2019

Abstract
Chemical reactions occur in cells for survival and adaptation to various conditions. After these chemical reactions, the reactants and products are often sequentially modified through metabolic pathways. In this study, we defined new features to evaluate the possibility of such inferred metabolic pathways. We focused on the main chain structure of a compound as a non-directional graph, and developed a method to define the similarity between these main chain structure graphs. In this study, we defined four features: 1) the number of main chain graph nodes, 2) the graphical density of the main chain graph, 3) the chemical density of the main chain, and 4) the graph centrality of the reaction group in the main chain graph. We defined the main chain structures of about 16,000 chemical compounds, and calculated the values of the four features by the defined equations for each compound. Finally, we calculated the correlation coefficients between all chemical compound pairs from the four defined features. A comparison of the similarities of the main chain graphs between known chemical reactions revealed that our defined features are suitable for detecting the possible reactions.
Ultra-High-Speed Variable Reluctance Motor (Vrm) Applied on Gravimetric Calibration Device With Magnetic Suspension
Authors: Sanchez E , Frajuca C , da Silva Mariano D , Bortoli F S , Fabrício C A 
Published: December 2019

Abstract
Variable Reluctance Motors (VRM) have great advantages for applications in the most diverse areas of the industry and equipment, due to its versatility, robustness, stability and the possibility of precise control of rotation, power and torque. In view of these advantages, it was decided to develop and simulate this type of motor for the on-screen prototype, which is intended for the calibration of gravimeters, intended for the detection of gravitational waves through the effect of these waves on rotating objects in ultra-high rotations of the order of 500,000 rpm. The proposed device requires a 1: 10,000 rpm error control, which will be possible due to the stability characteristics of the MRV. Due to the extremely low permissible vibration, the system uses magnetic bearings of the Lenz type in the rotor, with neodymium magnets interacting with the aluminum shaft, ensuring low friction and vibration. All of these aspects can be simulated using Matlab/Simulink, allowing a MRV performance perspective on the prototype.
A Fuzzy Model for Combating Misinformation in Social Network Twitter
Authors: Gavric Dubravka , Bagdasaryan Armen 
Published: December 2019

AbstractConstant and rapid increase of social media users implies the increase of spread of misinformation in social media networks. One of the leading networks Twitter is becoming significant source of information and news for online users.This research proposes a new approach to the problem of combating misinformation in social media network Twitter. The approach is based on the SI (Epidemic) Fuzzy Model to combat the spread of misinformation on Twitter. The mathematical model is given by a system of differential equations including fuzzy parameters and factors that describe various characteristics of misinformation spread in complex network. We also reflect on current challenges in combating misinformation in social media with the goal to stimulate future research in that domain by pointing out important factors that need to be taken into account while developing a model for combating misinformation.
Decision making tool for determining the points of innovation and technological development of the region
Authors: Baglaeva E , Kortov S , Rodnin A , Shulgin D 
Published: December 2019

Abstract
A research purpose is to modify the model of a patent landscape on an algorithm for the complex construction of the technological landscape, taking into account the ecological and economic features of the region. Technological landscape as a management tool for determining the points of innovation and technological development involves three basic stages. The first stage is to analyze the ecological and resource conditions in the region. The second is to build the model of the well-known patent landscape. In the third stage, identification of the chosen direction, affect investment and development opportunities are presented to support the innovation and technological development of the region. Technological landscape opportunities in the direction of iron metallurgy are constructed for the Sverdlovsk region. The methodology of building technological landscapes over time may be useful in the construction and analysis of the technological trend of the studied direction.
Properties of the network of semantic relations in the Russian language based on the RuWordNet data
Authors: Bochkarev Vladimir V. , Solovyev Valery D. 
Published: December 2019

Abstract
It was previously shown that the WordNet thesaurus has a small-world structure. We obtained a similar result for RuWordNet, a recently created thesaurus of the Russian language, and determined the main characteristics of the network of semantic relations in the Russian language. They are the average length of the path between the vertices, the maximum path length between the vertices, the cluster coefficient and the assortativity coefficient. The distribution of the vertices degrees was also considered. We compared the values of the structural parameters of the networks for WordNet and RuWordNet. A significant difference between RuWordNet and WordNet is that RuWordNet has many semantic relations of the ‘POS-synonymy’ type (synonymy between words of different parts of speech) that are hardly found in WordNet. The values of structural constants were determined for RuWordNet both regarding this type of relations and without taking into account these relations, which allows one to estimate the influence of relations between parts of speech on the structure of the words network.
Data Encryption Based on Exponential Numbers
Authors: Chang Ho-Hsuan 
Published: December 2019

Abstract
A novel data encryption scheme using a set of exponential numbers is proposed in this paper which aims at achieving secure communications over public networks. The study begins with the definition of pattern of exponential number, where the decimal pattern of an exponential number ge
is the result of taking e − 1 times multiplication the base element g by itself. The multiplication operation of two large integers involves the complicated carry conditions in each step, which is digit-dependence and can only be analyzed case by case. This implies that the pattern of a large exponential number is unpredictable. Next, we prove that nature number can be spanned by a set of exponential numbers, and there exists numerous spanning sets for one nature number, demonstrating that the expression of nature number using a set of exponential numbers is not unique. The unpredictable nature of exponential patterns and the abundant available sets of exponential numbers can contribute the concealment of information when data streams are encrypted by the exponential numbers. In addition, we prove that the base elements of a set of exponential numbers applied for spanning a nature number can be arbitrarily assigned. With this property, we can distribute a secret key sequence in advance as the base elements for data encryption, or this secret key can be shared using the Diffie-Hellman Key-Exchange system over public network. Finally, the encrypted message consists of a sequence of exponents and the index data, which indicates the relationship between the base elements and the secret key for decryption. The ciphertext is transmitted via the public channel to the receiver end; however, it can only be decrypted by those who own the secret key. Some examples are shown for demonstration the feasibility of the proposed encryption scheme.
Inverse operator for a regular nonlinear dynamics
Authors: Roth Yehuda 
Published: December 2019

Abstract
It is known that a dissipative environment is well described by chaotic process while regular dynamics are associated with animate systems. In this paper, we explore the inverse map of some chaotic maps to find if they are always regular. By reversing a chaotic map, we have been able to obtain a regular process that is associated with the birth of animate systems.
Numerical investigation of flow-induced forces in the rods bundle
Authors: Upnere Sabine 
Published: December 2019

Abstract
The numerical modelling of cross-flow through the rods bundle with triangular arrangement has been done to analyse flow-induced forces on the rod located in the middle of the bundle. Significant problems of rods in the bundle during the operational time of the system can be caused by the cross-flow. At the same time, it is known that the behaviour of the system is strongly related to many parameters such as bundle geometry, flow, rods support and others. Therefore, there is needed to investigate characteristics of each type of typical bundles. In this paper is analysed flow-induced hydrodynamic forces in closely-packed rods bundle using Computational Fluid Dynamics. Unsteady Reynolds Averaged Navier-Stokes equations were solved using Finite Volume discretization. The impact of the size of the computational domain and the number of rows in it was investigated to find the optimal case for the numerical modelling. Obtained results were compared with references from literature and experimental data. Reynolds number effect on the test cylinder depending on the domain size and the bundle asymmetry impact on flow-induced force were investigated as well.
Intelligent nonmodel-based fault diagnosis of electric motors using current signature analysis
Authors: Zaher Ashraf A. , Hummes Detlef , Hussain G. Amjad 
Published: December 2019

Abstract
This paper proposes an efficient technique for detecting mechanical faults in three-phase induction motors, without using mechanical sensors. Only measurements of the currents of every phase are used to identify the fault. The proposed system can diagnose two types of faults corresponding to shaft misalignment or imbalance, along with normal operation. The power spectrum of the experimental data is generated, followed by applying a soft-computing mathematical algorithm that will extract the peaks of the fundamental frequencies and their harmonics, while filtering out noise. Carefully selected peaks at certain frequencies will be collected and examined to generate a robust algorithm that can be used to produce a decision regarding the operating condition of the motor, via applying an intelligent soft-computing technique. Mathematical details regarding the consistency checks for validating the experimental data, and the testing/validation phases will be investigated. Detailed analysis of the obtained results is provided to highlight the advantages and limitations of the proposed algorithm. In addition, a comparison is made with similar techniques that use mechanical sensors to contrast their differences and highlight the superiority of the proposed system. The obtained results prove the intelligence and robustness of the proposed system and allow for versatile extensions that promote its application in real-time scenarios for many industrial applications.
An Approach towards Quantization of Non-Relativistic Open String Theory
Authors: Chatterjee S , Mukherjee S 
Published: December 2019

Abstract
For decades, scientists have worked relentlessly to move forward to see what lies beyond the third dimension and to find out if there is any existence of a unified theory to explain all the workings of the universe from sub-atomic to gigantic inhabitants of cosmos. This insurmountable task has been taken on by many over the last century or so until the emergence of “superstring theory” or “string theory” happened showcasing the fact that an answer seemed possible. From the concepts of a “string”, our ideation on this theory started. In this paper we strived to put forward that the concept of a vibrating one-dimensional microscopic object named “string” can be taken as a fundamental ingredient (in place of point particle) for developing non-relativistic quantum mechanics. Unlike point particle, we take a vibrating string as the quantum object & build a perfectly reasonable quantum mechanical description of the microscopic world. Our main objective in this paper to show that complete development of quantum mechanics is possible based on one dimensional open string.
Gödel’s incompleteness theorem and Universal physical theories
Authors: Ben-Ya’acov Uri 
Published: December 2019

Abstract
An ultimate Universal theory – a complete theory that accounts, via few and simple first principles, for all the phenomena already observed and that will ever be observed – has been, and still is, the aspiration of most physicists and scientists. Yet, a basic principle that is embodied in the results of Gödel’s incompleteness theorems is that self-referencing leads to logical conflict or failure, as in the liar paradox or Russell’s paradox. In physical theories self-referencing necessarily occurs when it is realized that the observer is also a participant in the experienced phenomena – we, humans, are part of the Universe while observing it. Therefore self-referencing, and consequently logical conflicts, are unavoidable, and any theory pretending to be Universal is bound to be incomplete.
About one stochastic model of coexistence of various population groups into the urban environment
Authors: Kiselyov Dmitrii , Inovenkov Igor , Nefedov Vladimir 
Published: December 2019

Abstract
The problem of the interaction of various population groups in the framework of urban environment is of current interest this time. The population is divided into different strata according to their economic and social characteristics. For example, a population could be classified according to genetic and phenotypic characteristics, belonging to a ethnic group and, first of all, according to income level. In several countries, the co-existence of population groups belonging to different social strata gives rise to serious problems and therefore has been studied from different points of view, mainly from a sociological. Due to the qualitative analysis of various situations, it becomes possible to predict and prevent possible conflicts and problems. The significance of this problem is obvious, but reasonable proposals for its solution have not been put forward. In this regard, the construction of a qualitative, but general mathematical model of the dynamics of various groups of the population is of interest. Such a mathematical model should be built within the framework of the concept of spatial economics. This paper discusses the first version of the model for a situation where there are only two groups of people. The corresponding system of equations includes two nonlinear diffusion equations with terms describing the interaction of the population groups in model. Of course, the basic difficulty is the selection of coefficients, which will provide the picture as close as possible to reality, so it makes sense to add to the model and stochastic terms that will be responsible for random environmental factors. Thus, a two-dimensional stochastic model of the temporal dynamics of the distribution of two population groups in an urban environment was presented and numerically investigated. As a result of the mathematical modeling certain estimates were obtained regarding the feasibility of considering stochastic factors in the proposed mathematical model.
Quasilinear integrodifferential Bernoulli-type equations
Authors: Vaskevich V L , Shvab I V 
Published: December 2019

Abstract
The equations considered in this article have the form in which the time derivative of the unknown function is expressed as a double integral over the space variables of a weighted quadratic expression of the sought function. The domain of integration is unbounded and does not depend on time but depends on the space variable. We study the Cauchy problem in the function classes accompanying the equation with initial data on the positive half-line. In application to this problem, the convergence of the successive approximation method is justified. An estimate is given of the quality of the approximation depending on the number of the iterated solution. It is proved that, on some finite time interval, the posed Cauchy problem has at most one solution in the accompanying function class. An existence theorem is proved in the same class.
One way for calculating the interaction of flow with an elastic surface with nonlinear parameters
Authors: Shvab I V , Nimaev V V 
Published: December 2019

Abstract
In the paper we discuss a biomechanical model of microcirculation and transcapillary metabolism and present a mathematical model of metabolic processes occurring in microcirculation level. We conside the following interrelated processes: the flow of blood (a non-Newtonian fluid) in capillaries; filtration and reabsorption of fluid through the wall of the arterial capillary into the surrounding tissue and from this one back to the venous capillary; the movement of fluid in the interstices, the exchange of substances between the interstitial fluid and tissue cells, drainage into the lymphatic capillaries. Biological tissue is modeled as a porous, resilient, isotropic matrix or frame saturated with a fluid of the same type. It is believed that the liquid is contained in the pores of the matrix. The study of microcirculation allows you to better understand the complex interlinked processes of metabolism in the body, identify the causes of pathologies and suggest possible treatment interstitium.
Phase Transition in 2D Ising Model with Next-Neighbor Interaction
Authors: Kryzhanovsky Boris , Litinskii Leonid 
Published: December 2019

Abstract
We used a Monte Carlo method to analyze a planar Ising model taking into account a ferromagnetic interaction with next neighbors. We found that independent of the value of the additional interaction, the character of singularity of the heat capacity did not change. Namely, at the critical point the heat capacity has a logarithmic singularity. We obtained a semi-theoretical formula relating the value of the critical temperature with the value of the additional ferromagnetic interaction.
Fdm solution of mhd flow in a rectangular duct with slipping and partly insulated partly conducting side walls
Authors: Arslan Sinem , Tezer-Sezgin Münevver 
Published: December 2019

Abstract
The magnetohydrodynamic (MHD) flow of an electrically conducting fluid is considered in a long channel (pipe) of rectangular cross-section in which the fluid is driven by a pressure gradient and the flow is steady, laminar, fully-developed. The flow is influenced by an external uniform magnetic field applied perpendicular to the channel-axis. Thus, the velocity field

V
→

and the magnetic field

B
→

have only channel-axis components V and B on the cross-section of the channel which is a rectangular duct. The finite difference method (FDM) is used for solving the governing equations with the boundary conditions which include both the slipping and variably conducting side walls. The well-known characteristics of the MHD flow including the slipping velocity are observed. Thus, the FDM enables one to depict the effects of Hartmann number, conductivity and slip parameters on the behavior of both the velocity of the fluid and the induced magnetic field at a small expense.
Numerical 3-d model experiments on global climate sensitivity to solar constant variations
Authors: Parkhomenko V P 
Published: December 2019

Abstract
The aim of the study is to show an important role of the solar radiation flux in positive feedback “temperature - surface albedo” during the transition to glaciation regimes observed in the history of the Earth. The study is based on a three-dimensional hydrodynamic global climate coupled model, including ocean model with real depths and continents configuration, sea ice evolution model and energy - moisture balance atmosphere model. A series of numerical experiments were carried out to assess the impact of changes in solar radiation flux on the global climate. It is assumed that the solar constant gradually decreases discretely compared to the current value and in each case is determined the steady climatic mode. Simulation period is about 2000 years. Gradual increase in the sea ice area and a catastrophic increase at the end of stage 3, when the oceans are completely covered with ice (so called “snow ball Earth”) are get. These results are naturally explained by the presence of the “temperature decrease - glaciation” positive feedback. The stage 3 maximum surface air temperature is -30° C, the minimum -80°C. Strong temperature and ice cover changes lead to significant changes in the horizontal and vertical thermohaline ocean circulation. The vertical thermohaline circulation has the weakened horizontal velocities in the north direction in the ocean upper layers and increased in the direction of the equator in the deep layers (in contrast to the present situation). The author was supported by the Russian Foundation for Basic Research (project no. №17-01-00693).
Concept of instrumentation of digital twins of nuclear power plants units as observers for digital NPP I&C system
Authors: Volodin V.S. , Tolokonskii A.O. 
Published: December 2019

Abstract
The relevance of the idea under consideration lies in the development of the use of digital twins of power units in the nuclear industry. With their help, we can not only predict the state of technological equipment, etc., but also solve the problem of parameter tuning of automatic regulators in different operating modes of NPP unit. Authors consider approaches to this problem based on optimal control theory, fuzzy logic and machine learning. Advantages and disadvantages of each approach are considered.