bluuebunny/crossref_metadata_2025_split huggingface dataset:
Naringin alleviates methotrexate-induced liver injury in male albino rats and enhances its antitumor efficacy in HepG2 cells
Authors: Elsawy Hany , Algefare Abdulmohsen I. , Alfwuaires Manal , Khalil Mahmoud , Elmenshawy Omar M. , Sedky Azza , Abdel-Moneim Ashraf M. 
Published: May 2020

Abstract
Methotrexate (MTX) is an efficient chemotherapeutic and immunosuppressant drug, but the hepatotoxicity of MTX limits its clinical use. Naringin (Nar) is a flavonoid derived from Citrus paradise, and has been shown to possess several pharmacological activities, including free-radical scavenging and antioxidant properties. In the present study, we first tested the possible protective effects of multiple doses of Nar against MTX-induced acute hepatotoxicity in rats, and then we investigated the growth inhibition and apoptotic effects of MTX and/or Nar against the HepG2 hepatocarcinoma cell line. Our in vivo results showed that Nar significantly reduced MTX-induced increases in serum alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase and total bilirubin levels. Nar also reduced MTX-induced oxidative stress by significantly reducing liver malondialdehyde (MDA) and nitric oxide (NO) content and increasing superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione reductase (GR), and glutathione (GSH). In addition, Nar significantly counteracted MTX-induced increases in hepatic interleukin-6 and tumor necrosis factor-α (TNF-α). Further, Nar greatly protected hepatocyte ultrastructure against MTX-induced injury. In contrast, in vitro MTX and/or Nar treatment of HepG2 cells for 48 h exhibited a cytotoxic effect and induced apoptosis in a dose-dependent manner mediated by a significant increase in the Bax/Bcl-2 protein expression ratio. Noticeably, Nar potentiated the MTX effect on the Bax/Bcl-2 ratio. In conclusion, Nar decreased MTX-induced functional and ultrastructural liver damage in a tumor-free animal model. Also, our data introduce MTX and Nar as promising antiproliferative agents with a distinctive mode of action, inducing apoptosis in HepG2 tumor cells through activation of Bax and down-regulation of Bcl-2 protein expression.
MiR-30e-5p inhibits the migration and invasion of nasopharyngeal carcinoma via regulating the expression of MTA1
Authors: Hu Weiqun , Yao Wenfeng , Li Haolin , Chen Li 
Published: May 2020

Abstract
The study explored the effect of miR-30e-5p on nasopharyngeal carcinoma (NPC). MiR-30e-5p levels in NPC cancer and adjacent normal samples, in metastatic and non-metastatic cancer samples of NPC, and in NP69 cell and five NPC cell lines were determined by quantitative real-time polymerase chain reaction (qRT-PCR). The relationship between miR-30e-5p and MTA1 was confirmed by dual-luciferase reporter assay, Western blot and qRT-PCR. The viability, migration and invasion of 5-8F and 6-10B cells were determined by CCK-8, scratch test and transwell assays, respectively. The levels of migration-related proteins (vimentin and Snail) and invasion-related proteins (MMP2 and MMP3) in NPC cells were detected by Western blot. The results showed that low expression of miR-30e-5p was associated with HNSC cancer, NPC, metastasis of NPC and NPC cell lines. Overexpressed miR-30e-5p in HNSC cancer and NPC was predictive of a better prognosis of patients. In addition, the viability, migration and invasion were reduced by up-regulating miR-30e-5p in 5-8F cells, but promoted by down-regulated miR-30e-5p in 6-10B cells. MiR-30e-5p reversed the migration and invasion of NPC cells regulated by MTA1, and inhibited migration and invasion of NPC cells via regulating MTA1 expression.
Acetate promotes SNAI1 expression by ACSS2-mediated histone acetylation under glucose limitation in renal cell carcinoma cell
Authors: Yao Lv , Jiang Linying , Zhang Fuxing , Li Minghua , Yang Bo , Zhang Fangting , Guo Xiaoqiang 
Published: May 2020

Abstract
Metastasis is the main cause of cancer-associated deaths, yet this complex process is still not well understood. Many studies have shown that acetate is involved in cancer metastasis, but the molecular mechanisms remain to be elucidated. In the present study, we first measured the effect of acetate on zinc finger transcriptional repressor SNAI1 and acetyl-CoA synthetase 2 (ACSS2) under glucose limitation in renal cell carcinoma cell lines, 786-O and ACHN. Then, RNA interference and overexpression of ACSS2 were used to detect the role of acetate on SNAI1 expression and cell migration. Finally, chromatin immunoprecipitation assay (ChIP) was used to investigate the regulatory mechanism of acetate on SNAI1 expression. The results showed that acetate increased the expressions of SNAI1 and ACSS2 under glucose limitation. ACSS2 knockdown significantly decreased acetate-induced SNAI1 expression and cell migration, whereas overexpression of ACSS2 increased SNAI1 level and histone H3K27 acetylation (H3K27ac). ChIP results revealed that acetate increased H3K27ac levels in regulatory region of SNAI1, but did not increase ACSS2-binding ability. Our study identified a novel inducer, acetate, which can promote SNAI1 expression by ACSS2-mediated histone acetylation in partly. This finding has important implication in treatment of metastatic cancers.
Integrative analysis of DNA methylation and gene expression profiles identified potential breast cancer-specific diagnostic markers
Authors: Liu Xinhua , Peng Yonglin , Wang Ju 
Published: May 2020

Abstract
Breast cancer is a common malignant tumor among women whose prognosis is largely determined by the period and accuracy of diagnosis. We here propose to identify a robust DNA methylation-based breast cancer-specific diagnostic signature. Genome-wide DNA methylation and gene expression profiles of breast cancer patients along with their adjacent normal tissues from the Cancer Genome Atlas (TCGA) were obtained as the training set. CpGs that with significantly elevated methylation level in breast cancer than not only their adjacent normal tissues and the other ten common cancers from TCGA but also the healthy breast tissues from the Gene Expression Omnibus (GEO) were finally remained for logistic regression analysis. Another independent breast cancer DNA methylation dataset from GEO was used as the testing set. Lots of CpGs were hyper-methylated in breast cancer samples compared with adjacent normal tissues, which tend to be negatively correlated with gene expressions. Eight CpGs located at RIIAD1, ENPP2, ESPN, and ETS1, were finally retained. The diagnostic model was reliable in separating BRCA from normal samples. Besides, chromatin accessibility status of RIIAD1, ENPP2, ESPN and ETS1 showed great differences between MCF-7 and MDA-MB-231 cell lines. In conclusion, the present study should be helpful for breast cancer early and accurate diagnosis.
Theoretical investigation of antiferromagnetic skyrmions in a triangular monolayer
Authors: Liu Zhaosen , Santos Dias Manuel dos , Lounis Samir 
Published: May 2020

Abstract
The chiral spin textures of a two-dimensional (2D) triangular system, where both antiferromagnetic (AF) Heisenberg exchange and chiral Dzyaloshinsky–Moriya interactions co-exist, are investigated numerically with an optimized quantum Monte Carlo method based on mean-field theory. We find that: helical, skyrmionic and vortical AF crystals can be formed when an external magnetic field is applied perpendicular to the 2D monolayer; the sizes of these skyrmions and vortices change abruptly at several critical points of the external magnetic field; each of these AF crystals can be decomposed into three periodical ferromagnetic sublattices. The quantum ingredient implemented into the theoretical framework helps to track the existence of AF skyrmion lattices down to low temperatures.
Boundedness for reaction–diffusion systems with Lyapunov functions and intermediate sum conditions
Authors: Morgan Jeff , Tang Bao Quoc 
Published: May 2020

Abstract
We study the uniform boundedness of solutions to reaction–diffusion systems possessing a Lyapunov-like function and satisfying an intermediate sum condition. This significantly generalizes the mass dissipation condition in the literature and thus allows the nonlinearities to have arbitrary polynomial growth. We show that two dimensional reaction–diffusion systems, with quadratic intermediate sum conditions, have global solutions which are bounded uniformly in time. In higher dimensions, bounded solutions are obtained under the condition that the diffusion coefficients are quasi-uniform, i.e. they are close to each other. Applications include boundedness of solutions to chemical reaction networks with diffusion.
Bayesian inference of particle source and sink in a closed-divertor using Balmer line spectroscopy
Authors: Nishizawa T , Cavedon M , Reimold F , Dux R , Brida D , Wu H 
Published: May 2020

Abstract
A new analysis technique for Balmer line spectroscopy that enables recombination rate (particle sink) and ionization rate (particle source) inference in a closed divertor configuration is reported. Bayesian inference is employed to systematically utilize all available information from multiple Balmer lines and constrain parameter ranges by using prior knowledge about plasmas. While a closed-divertor facilitates detachment, neutral plugging typically leads to large spatial variations in plasma parameters. A forward model is developed to take into account non-uniformity in the plasma parameters and applied to test data generated by divertor plasma simulations. It is shown that the forward model robustly provides particle source and sink inference over a wide parameter range. In addition, the precision improves as more Balmer lines are resolved simultaneously. The new analysis technique is also applied to an L-mode ASDEX Upgrade plasma in the high-recycling regime. The inferred quantities and their profiles are consistent with the expectations of a high-recycling divertor plasma. The further insight into the detachment physics will be provided by using this new analysis technique.
The standard model, the Pati–Salam model, and ‘Jordan geometry’
Authors: Boyle Latham , Farnsworth Shane 
Published: May 2020

Abstract
We argue that the ordinary commutative and associative algebra of spacetime coordinates (familiar from general relativity) should perhaps be replaced, not by a noncommutative algebra (as in noncommutative geometry), but rather by a Jordan algebra (leading to a framework which we term ‘Jordan geometry’). We present the Jordan algebra (and representation) that most nearly describes the standard model of particle physics, and we explain that it actually describes a certain (phenomenologically viable) extension of the standard model: by three right-handed (sterile) neutrinos, a complex scalar field φ, and a U(1)
B−L
gauge boson which is Higgsed by φ. We then note a natural extension of this construction, which describes the SU(4) × SU(2)L × SU(2)R Pati–Salam model. Finally, we discuss a simple and natural Jordan generalization of the exterior algebra of differential forms.
The search algorithm for the optimal control of multilevel hierarchical system based on the use of fuzzy logic and the principle of optimality of Bellman
Authors: Chertov V A , Orlova D E 
Published: May 2020

Abstract
Developed search algorithm for the optimal control of multilevel hierarchical systems. The basis of the algorithm are the theory of fuzzy sets together with the Bellman optimality principle. The computational experiment confirms the convergence of the algorithm.
A nonlinear model of the non-isothermal slip flow between two parallel plates
Authors: Domnich A A , Baranovskii E S , Artemov M A 
Published: May 2020

Abstract
We study a mathematical model describing the steady-state non-isothermal flow of a viscous fluid between two parallel plates under the Navier slip boundary condition. The flow is driven by an applied pressure gradient. The dependence of the viscosity, thermal conductivity and slip coefficients on the temperature is taking into account. The model under consideration is a boundary value problem for a system of nonlinear coupled ordinary differential equations. We give the weak formulation of this problem and establish sufficient conditions for the existence and uniqueness of a weak solution. To construct weak solutions, we propose an algorithm based on the Galerkin procedure, methods of the topological degree theory, and compactness arguments. Moreover, explicit expressions for the velocity and the temperature on the plates are obtained.
On some pseudo-differential equations and transmutation operators
Authors: Vasilyev Vladimir 
Published: May 2020

Abstract
We describe some operators for solving model elliptic pseudo-differential equations in special canonical domains. It helps us to write a general solution of corresponding pseudo-differential equation in an explicit form. Moreover, knowing a general solution we can choose additional (possibly boundary) conditions to determine uniquely the solution. All considerations we give in Sobolev–Slobodetskii spaces.
Fuzzy request handler for Mongo QL derived from SQL
Authors: Astachova I F , Samoilov N K , Kiseleva E I 
Published: May 2020

Abstract
Relational DBMS are often used to store fuzzy values, but problems arise with putting such data in a tabular form. Moreover, there appears a problem of storing both the crisp and fuzzy data related to one subject domain in one column of a relational table. This article considers the mechanism of storing crisp and fuzzy values and linguistic variables in the document-oriented Mongo DBMS. The data are stored in the collection as GeoJSON geometry; different geometries are used for different data options. The possibility of storing crisp scalar values, crisp value sets, crisp value intervals and fuzzy values in the collection documents is described. For data processing by means of SQL queries, the context-free grammar of the SQL subset is described, according to which lexer and parser are generated. In order to form the structure of an abstract syntactic tree, a corresponding object model has been implemented. A translator application has been developed, which allows converting SQL queries related to the crisp and fuzzy data into Mongo QL queries. The algorithm of fuzzy queries translation process is suggested; the geometrical interpretation of data comparison operations is described. The examples show the options of fuzzy comparison operations for different value options.
On development of models and algorithms for automated metallographic measurement of visible metal slice grain sizes
Authors: Kovun V A , Kashirina I L 
Published: May 2020

Abstract
The article proposes an approach to metallographic research based on solving the problem of semantic segmentation using a trained neural network classifier. To solve the problem of isolating grains in micrographs of longitudinal and transverse slices of metal, the neural network model U-Net was adapted. In order to obtain closed image contours, a post-processing algorithm was developed using the OpenCV open source computer vision library. The article describes the training of a neural network and the conversion of its results, as well as the comparative analysis of the histograms between the reference grain area distribution and the distribution obtained using the proposed algorithm.
Signal approximations by shifted Gaussians: a direct approach by finite linear systems
Authors: Sitnik Sergei M , Timashov Alexandr S , Ushakov Sergei N 
Published: May 2020

Abstract
In this paper we consider interpolation problem connected with series by integer shifts of Gaussians. Known approaches for these problems met numerical difficulties. Due to it another method is considered based on finite–rank approximations by linear systems. The main result for this approach is to establish correctness of the finite–rank linear system under consideration. And the main result of the paper is to prove correctness of the finite–rank linear system approximation. For that an explicit formula for the main determinant of the linear system is derived to demonstrate that it is non–zero.
Optimizing the selection of combination of alternative functions of ergatic system multifunctional elements
Authors: Zverev G I , Menshikh V V 
Published: May 2020

Abstract
Ergatic systems have found their application in those areas where operator’s participation is an integral part of the effective functioning of these systems, that is, it has the ability to quickly solve problems and contingencies that arise during work process. Critical application systems are one of the varieties of ergatic systems. For their successful functioning, it is necessary to choose the optimal set of alternative functions of multifunctional elements. The relevance of this problem lies in the wide distribution of this type systems, as well as in their special importance. So this article provides a description of the structural and parametric models and functional capabilities of ergatic systems. As a model, it is proposed to use weighted hypergraphs. The statement of the problem of optimizing the choice of a combination of alternative functions of multifunctional elements of such systems is given. The description of the developed numerical method based on the use of the scheme of branches and boundaries is also given. The final part of the article presents a numerical example, divided into initial, intermediate and final stages of optimization, for demonstration of the described numerical method operation.
Development of information and analytical tools based on adaptive classifier Cascade ARTMAP
Authors: Kashirina I L , Fedutinov K A , Bondarenko Yu V 
Published: May 2020

AbstractThe article deals with methods of teaching incremental classifiers capable to adapt to incoming online streaming data, using the example of environmental monitoring systems. It is proposed to use Cascade ARTMAP neural network architecture, compatible with symbolic representation based on IF- THEN rules. The knowledge gained during Cascade ARTMAP network training can be transformed into a compact set of decisive rules for classification of source data that can be easily interpreted by experts in the field of environmental assessment.
Computer modeling system of chemical processes in tubular reactors
Authors: Polosin A N 
Published: May 2020

Abstract
A computer modeling system of chemical processes in tubular reactors has been developed. The system helps researchers (technologists, designers) to determine rational modes of operation of tubular reactors, which ensure compliance with the requirements for efficiency indices of chemical processes carried out by various mechanisms. The system includes a module for setting the mechanism of the chemical process, modules for structural synthesis and parameters adjustment of the dynamic mathematical model of the chemical process, a library of finite-difference methods for solving the equation of convective transfer of substance, a module for calculating distributions of concentrations of raw substances and reaction products along the length of the reactor and during time, a module for calculating efficiency indices, a module for generating and storing a modeling report. The information ware of the system includes databases of geometric parameters of tubular reactors and procedural ranges of technological parameters of chemical processes. Databases allow the system to be adjusted according to the tubular reactor brand. The results of the modeling are presented in tables, 2D and 3D graphs of the concentration distributions of raw substances and reaction products. The system has been tested according to the data of thermal decomposition of ethylene, benzene oxidation, pyrolysis of mixture of ethane, butane and propane, production of vinyl acetate. The testing results have confirmed the adequacy of the proposed mathematical description of chemical processes in tubular reactors and the operability of the created software solution.
Performance of super-resolution algorithms under applicative noise
Authors: Savvin S V , Sirota A A 
Published: May 2020

Abstract
The paper considers the problem of multi-frame super-resolution under applicative noise which generates distributed regions of outlying observations in low resolution images. The analysis of existing solutions is performed. They include algorithms based on spin-glass models and Markov random fields used to remove applicative noise. The authors suggest their own approach, which involves using a recurrent algorithm of quasi-linear optimal filtering of a sequence of low resolution images together with superpixel segmentation performed in order to determine the regions damaged by applicative noise. The considered algorithms are compared as applied to a set of test images. The results of the experiment demonstrate that the suggested approach allows for more accurate recovery of HR images than the existing analogues.
About the problem of flow past around thin profiles
Authors: Malyutin K G , Kabanko M V 
Published: May 2020

Abstract
In this paper some approaches to solving the problems of flow past around thin profiles are presented. We consider the problem of flow past around a contour defined by a set of segments, each of which is close to the segment ( a; a). A formula that gives an approximate velocities distribution in a flow flowing around a system of thin profiles is obtained. A mixed boundary-value problem for an analytic function in the upper half-plane is studied. A system of singular integral equations having a unique solution up to two arbitrary constants in the class of functions that are boundary values of analytic functions in the upper half-plane is obtained. Considered the generalized problem of flow past around thin profiles for infinite numbers of thin profiles.
Optimal management of website under adverse impacts conditions
Authors: Churakov D , Tsarkova E , Vorotnikova T , Belyaev A 
Published: May 2020

Abstract
The paper considers a mathematical model for managing a website of a company operating in a competitive environment. Management is carried out in order to maximize profits. Optimal control actions is determined using Pontryagin’s maximum principle. Numerical solution is obtained using iteration algorithm based on gradient descent method. The obtained results form the basis of a software application that can be used as a management decision support system.
Comparison of analytical and numerical modeling of distributions of nonequilibrium minority charge carriers generated by a wide beam of medium-energy electrons in a two-layer semiconductor structure
Authors: Kalmanovich V V , Seregina E V , Stepovich M A 
Published: May 2020

Abstract
An analytical matrix method that makes it possible to calculate the distributions of nonequilibrium minority charge carriers generated in multilayer planar semiconductor structures by external influence is described. For the case of generation of nonequilibrium minority charge carriers by a wide electron beam in a two-layer structure, the results of model calculations using the analytical matrix method with the results of calculations using a numerical conservative difference scheme are compared. It is shown that the method allows to carry out calculations of the distributions of nonequilibrium minority charge carriers in a relatively short time with an accuracy sufficient for practical use in electron probe technologies.