bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of 12 cancer types through genome deep learning
Authors: Sun Yingshuai , Zhu Sitao , Ma Kailong , Liu Weiqing , Yue Yao , Hu Gang , Lu Huifang , Chen Wenbin 
Published: November 2019

AbstractCancer is a major cause of death worldwide, and an early diagnosis is required for a favorable prognosis. Histological examination is the gold standard for cancer identification; however, large amount of inter-observer variability exists in histological diagnosis. Numerous studies have shown cancer genesis is accompanied by an accumulation of harmful mutations, potentiating the identification of cancer based on genomic information. We have proposed a method, GDL (genome deep learning), to study the relationship between genomic variations and traits based on deep neural networks. We analyzed 6,083 samples’ WES (Whole Exon Sequencing) mutations files from 12 cancer types obtained from the TCGA (The Cancer Genome Atlas) and 1,991 healthy samples’ WES data from the 1000 Genomes project. We constructed 12 specific models to distinguish between certain type of cancer and healthy tissues, a total-specific model that can identify healthy and cancer tissues, and a mixture model to distinguish between all 12 types of cancer based on GDL. We demonstrate that the accuracy of specific, mixture and total specific model are 97.47%, 70.08% and 94.70% for cancer identification. We developed an efficient method for the identification of cancer based on genomic information that offers a new direction for disease diagnosis.
Degree of conversion of experimental resin composites containing bioactive glass 45S5: the effect of post-cure heating
Authors: Par Matej , Spanovic Nika , Tauböck Tobias T. , Attin Thomas , Tarle Zrinka 
Published: November 2019

AbstractResin composites containing reinforcing inert glass fillers combined with bioactive glass (BG) can aid in the prevention of secondary caries, which is a major cause of failure of contemporary composite restorations. A series of previous studies on experimental resin composites filled with BG 45S5 has demonstrated that methacrylate resin polymerization can be impaired by the addition of unsilanized BG, leading to lower degrees of conversion (DC). In order to distinguish whether the polymerization inhibition is caused by a direct (temperature-independent) effect of BG or an indirect (temperature-dependent) effect of restricted mobility of reactive species, this study used Raman spectroscopy to evaluate the DC values of experimental composites post-cured at 37 °C and 150 °C. The potential of BG to adversely affect DC was highly dependent on the resin system. The highest DC reduction was observed in the resin system based on ethoxylated bisphenol A dimethacrylate (Bis-EMA), followed by bisphenol A glycidyl methacrylate (Bis-GMA). In contrast, the DC for urethane dimethacrylate (UDMA) was not compromised by BG. Increasing the mobility of reactive species by heating at 150 °C showed limited potential for increasing the DC in the Bis-EMA and Bis-GMA resin systems, indicating a direct inhibitory effect of BG on polymerization.
Evaluation of human obstructive sleep apnea using computational fluid dynamics
Authors: Taherian Shahab , Rahai Hamid , Lopez Samuel , Shin Jamie , Jafari Behrouz 
Published: November 2019

AbstractObstructive sleep apnea (OSA) severity might be correlated to the flow characteristics of the upper airways. We aimed to investigate the severity of OSA based on 3D models constructed from CT scans coupled with computational fluid dynamics (CFD) simulations. The CT scans of seven adult patients diagnosed with OSA were used to reconstruct the 3D models of the upper airways and CFD modeling and analyses were performed. Results from the fluid simulations were compared with the apnea-hypopnea index. Here we show a correlation between a CFD-based parameter, the adjusted pressure coefficient (Cp*), and the respective apnea-hypopnea index (Pearson’s r = 0.91, p = 0.004), which suggests that the anatomical-based model coupled with CFD could provide functional and localized information for different regions of the upper airways.
GRB 190114C in the nuclear region of an interacting galaxy
Authors: de Ugarte Postigo A. , Thöne C. C. , Martín S. , Japelj J. , Levan A. J. , Michałowski M. J. , Selsing J. , Kann D. A. , Schulze S. , Palmerio J. T. , Vergani S. D. , Tanvir N. R. , Bensch K. , Covino S. , D’Elia V. , De Pasquale M. , Fruchter A. S. , Fynbo J. P. U. , Hartmann D. , Heintz K. E. , van der Horst A. J. , Izzo L. , Jakobsson P. , Ng K. C. Y. , Perley D. A. , Rossi A. , Sbarufatti B. , Salvaterra R. , Sánchez-Ramírez R. , Watson D. , Xu D. 
Published: November 2019

Context. For the first time, very high energy emission up to the TeV range has been reported for a gamma-ray burst (GRB). It is still unclear whether the environmental properties of GRB 190114C might have contributed to the production of these very high energy photons, or if it is solely related to the released GRB emission.
Aims. The relatively low redshift of the GRB (z = 0.425) allows us to study the host galaxy of this event in detail, and to potentially identify idiosyncrasies that could point to progenitor characteristics or environmental properties that might be responsible for this unique event.
Methods. We used ultraviolet, optical, infrared, and submillimetre imaging and spectroscopy obtained with the HST, the VLT, and ALMA to obtain an extensive dataset on which the analysis of the host galaxy is based.
Results. The host system is composed of a close pair of interacting galaxies (Δv = 50 km s−1), both of which are well detected by ALMA in CO(3-2). The GRB occurred within the nuclear region (∼170 pc from the centre) of the less massive but more star-forming galaxy of the pair. The host is more massive (log(M/M⊙) = 9.3) than average GRB hosts at this redshift, and the location of the GRB is rather unique. The higher star formation rate was probably triggered by tidal interactions between the two galaxies. Our ALMA observations indicate that both host galaxy and companion have a high molecular gas fraction, as has been observed before in interacting galaxy pairs.
Conclusions. The location of the GRB within the core of an interacting galaxy with an extinguished line of sight is indicative of a denser environment than typically observed for GRBs and could have been crucial for the generation of the very high energy photons that were observed.
Oral acute and sub-acute toxic effects of hydroalcoholicTerminalia chebulaRetz andAchillea wilhelmsiiextracts in BALB/c mice
Authors: Jafari Mahnaz , Naeini Kourosh Manochehri , Lorigooini Zahra , Namjoo Rasool 
Published: November 2019

Background: This study examined the acute and sub-acute toxic effects ofTerminalia chebulaandAchillea wilhelmsiiextracts on the murine model.Methods: In both phases, mice were assigned to intervention and control groups. At the end of study, the liver, kidney, and heart tissues were collected for histopathological studies.Results: In the acute phase of the study, the safe dose was ≤5000 mg/kg for both extracts. In sub-acute phase, LD50 (95% CI) ofAchillea wilhelmsiiextract was determined ≥5000 mg/kg and that ofTerminalia chebulaextract 2754.436 (2438-3114) mg/kg. The highest dose ofT. chebulaextract induced few histopathological changes.Conclusion: It will be useful to gain information on the minimum lethal doses ofT. chebulaandA. wilhelmsiito adopt safe doses of the two plants.
Magnetocaloric Effect in Anisotropic Mixed Spin

12

–1 System: Pair Approximation Method
Authors: Boubekri Abderrazak , Hafidi Moulay Youssef El , Hafidi Mohamed El 
Published: November 2019

Abstract

We use the Pair Approximation method to analyze the magnetic and magnetocaloric behaviors of diluted mixed spin SA = 1 and spin SB = 1/2 with the anisotropic Heisenberg model, on a cubic lattice with coordination number z=6. Our system is described in presence of an external magnetic field; the phase diagram and thermodynamic properties related to the concentration of magnetic atom (A or B) and the single ion anisotropy are constructed and discussed. Special attention is paid to magnetocaloric properties provided by isothermal entropy change as well as the cooling capacity. These cooling power keys are plotted and discussed as a function of interaction anisotropy and magnetic component concentration of two sublattices ions A and B. Numerical results show a double peak structure in the entropy change curve and the inverse magnetocaloric effect related to the presence of the negative single-ion anisotropy.
Tuning non-Gilbert-type damping in FeGa films on MgO(001) via oblique deposition
Authors: Li Yang , Li Yan , Liu Qian , Yuan Zhe , Zhan Qing-Feng , He Wei , Liu Hao-Liang , Xia Ke , Yu Wei , Zhang Xiang-Qun , Cheng Zhao-Hua 
Published: November 2019

Abstract
The ability to tailor the damping factor is essential for spintronic and spin-torque applications. Here, we report an approach to manipulate the damping factor of FeGa/MgO(001) films by oblique deposition. Owing to the defects at the surface or interface in thin films, two-magnon scattering (TMS) acts as a non-Gilbert damping mechanism in magnetization relaxation. In this work, the contribution of TMS was characterized by in-plane angular dependent ferromagnetic resonance. It is demonstrated that the intrinsic Gilbert damping is isotropic and invariant, while the extrinsic mechanism related to TMS is anisotropic and can be tuned by oblique deposition. Furthermore, the two and fourfold TMS related to the uniaxial magnetic anisotropy and magnetocrystalline anisotropy were discussed. Our results open an avenue to manipulate magnetization relaxation in spintronic devices.
Small Evolution Antenna Design Method Based on Dynamic Hill Climbing Algorithm and Orthogonal Experiment
Authors: Shi Hui , Li Junjie , Xie Zhiming 
Published: November 2019

Abstract
Small-scale evolution antennas have the advantages of high gain, wide bandwidth and small size, and have broad application prospects in the aerospace field. Aiming at the complex high-dimensional and dynamic problems of aerial antenna modeling, a dynamic hill-climbing algorithm based on orthogonal design is designed and implemented to simulate and optimize the single-span antenna in high-frequency operation mode. In the optimization problem, this paper defines a new individual comparison mechanism, which can reflect the number of violations of constraints and the degree of violation of each constraint, making the comparison of individuals more reasonable. The antenna simulation results demonstrate the effectiveness and feasibility of using dynamic evolutionary algorithms for antenna design.
Application of Business Intelligence Based on Big Data in E-commerce Data Analysis
Authors: Du Xiaoli , Liu Beixiong , Zhang Jiangli 
Published: November 2019

Abstract
This paper redesigns the framework platform of business intelligence by combining big data with traditonal business intelligence. This paper focuses on the way of data acquisition.Taking the e-commerce data of an enterprise as an example, this paper uses K-Means algorithm in clustering analysis to cluster consumers, so as to realize the purpose of personalized marketing for different consumers.
Research of Inspection Firewall Fine Grained Access Control on SDN State
Authors: Yang Hu , Ling Lu 
Published: November 2019

Abstract
A new SDN state inspection firewall system base on OpenFlow protocol is proposed.In this scheme, state tables and shifted flow tables are added into SDN controller and switch, and corresponding state transition rules are formulated on basis of packet type, so firewall is able to inspect SDN network state.SDN stat inspection firewall is implemented on opensource controller Floodlight and Open vSwitch. The performance evaluation result shows that the SDN state inspection firwall can recognize the type of packets, moreover, it achieves the fine-grained access control which present SDN firewall cannot offer. The innovation of this paper is to put forward of inspection firewall fine grained access control on SDN State. by comparing the packet delay and connection establishment speed of the two firewalls, it can be concluded that the firewall system based on state detection has shorter delay time, in general, the connection establishment time takes up less proportion in the whole data transmission. Therefore, in summary, the overall performance of state-based firewall system is better than that of packet filtering firewall system.
Optimal proportional control applied to direct current motor
Authors: Devia Narváez D , Devia Narváez D , Ospina R 
Published: November 2019

Abstract
This article shows the implementation of the proportional optimum control over a singular input, multiple output system, which corresponds to the speed control of a direct current motor. For this study, the controllability and observability of the model is verified to guarantee stabilization with the applied control, the system of state equations is defined and finally the optimal controller is designed with the specified requirements, in such a way as to minimize the time of response to an input signal.
Comparison of different classification techniques for the discrimination of patients with pathologies of Parkinson
Authors: Devia Narváez D , Devia Narváez D , Ospina R 
Published: November 2019

Abstract
This paper presents a brief description of the application of the technique of support-vector machines in order to classify patients with pathologies of Parkinson’s disease from voice samples. The problem of linear classification and the case of non-linear classification are addressed, for which the Kernel functions will be used in order to transform the input space into a space of greater dimensionality where it can be classified by means of a hyperplane.
Optimal power flow studies in direct current grids: An application of the bio-inspired elephant swarm water search algorithm
Authors: Montoya O D , Gil-González W , Holguín M 
Published: November 2019

Abstract
Colombian power system is experienced important changes due to the large scale integration of renewable power generation based on solar and wind power; added to the fact that direct current networks have taken important attention, since they are efficient in terms of power loss and voltage profile at distribution or transmission levels For addressing this problem, this paper presents the application of an emerging bio-inspired metaheuristic optimization technique known as elephant swarm water search algorithm to the optimal power flow problem in direct current networks. A master-slave hybrid optimization strategy for optimal power flow analysis is addressed in this paper by decoupling this problem in two optimizing issues. The first problem corresponds to the selection of the power generated by all non-voltage controlled distributed generators; While the second problem lies in the solution of the classical power flow equations in direct current networks. The solution of the master problem (first problem) is made by applying the elephant swarm water search algorithm, while the second problem (slave problem) is solved by a conventional Gauss-Seidel numerical method. The proposed hybrid methodology allows solving the power flow problem by using any basic programming language with minimum computational effort and well-precision when is compared with optimizing packages such as general algebraic modeling system/CONOPT solver and conventional metaheuristic techniques such as genetic algorithms.
Alternative power flow method for direct current resistive grids with constant power loads: A truncated Taylor-based method
Authors: Montoya O D , Gil-González W , Marulanda J J 
Published: November 2019

Abstract
The power flow in electrical system permits analyzing and studying the steady-state behavior of any grid. Additionally, the power flow helps with the proper planning and management of the system. Therefore, it is increasingly necessary to propose power flows with fast convergence and high efficiency in their results. For this reason, this paper presents an alternative power flow approach for direct current networks with constant power loads based on a truncated Taylor-based approximation. This approach is based on a first-order linear approximation reformulated as a recursive, iterative method. It works with a slope variable concept based on derivatives, which allow few iterations and low processing times. Numerical simulations permit identifying the best power flow approaches reported in the specialized literature for radial and mesh dc grids, including the proposed approach. All the simulations were conducted in MATLAB 2015a.
Comparison of approach strategies with dynamic load models in electrical power systems
Authors: Arbeláez S , Orrego E , Villa G 
Published: November 2019

Abstract
This work contains the comparison of some strategies for the approximation of the load of an electrical system with the model of general dynamic load, and in this way obtain a sensitivity of the load connected to the system, this in order to be able to tend to future load aggregations to a given network. The document initially exposes dynamic and static loading models, focusing interest on the general model, dynamic model base for the analysis, then comments on the methods of load estimation and emphasis is placed on the meta-technical technique ant colony system, after explanations of the perturbations and the procedures to be followed in the analysis proposed with the DigSILENT software, finally the comparative results between the estimation and measurement technique are exposed.
Computational study of the three dimensional autoresonance acceleration of electrons cloud in magnetic fields varying on time
Authors: Hernández J A , Orozco E A , Dugar-Zhabon V D 
Published: November 2019

Abstract
There are many particle acceleration mechanisms using electromagnetic waves and external magnetic fields where the electron cyclotron resonance condition is preserved. Among these mechanisms, the gyroresonant acceleration proposed by K. Golovanivsky consists of the 2D acceleration of electrons by a circular polarized standing transversal electric wave and a homogeneous magnetic field, which changes on time to compensate the increase of relativistic factor as the electrons are accelerated. By using an analytical model, he obtained a set of differential equations describing both the evolution of the electron energy and the phase shift between the particle velocity and the the electric field component of the microwave field. The 3D simulation of the electrons bunch acceleration by the TE111 cylindrical mode of 2.45 GHz in frequency and the strength of 100 kV/m, said acceleration mechanism is numerically studied. In our numerical scheme, the inhomogeneous magnetic field is produced by a set of 4 current coils, wherein the currents in the central coils change linearly on time. In the transversal mid plane, the initial magnetic field is fitted to the classical resonance value. The concentration of the electron bunch is ne = 2.6 × 108 cm−3, so the simple particle approximation is used. The electron trajectories, its velocities, and energies are obtained from the numerical solution of the relativistic Newton-Lorentz equation. Finally, the number of accelerated electrons was determined, identifying the favorable regions for the acceleration regime. These results can be useful for the design of gyroresonant accelerator devices. It is worth mentioning that said accelerators can be used as X-ray sources when accelerated electrons hit a metallic target.
Research projects of the Mega-science class in Nuclear University
Authors: Vasiliev A N , Astapov I I , Barbashina N S , Lozovskij D L , Moshkova D M 
Published: November 2019

Abstract
Fundamental research in the field of high energy physics and nuclear physics is carried out at large international experiments with the joint participation of scientific organizations and research universities. This article discusses the features of the participation of a nuclear university in international research projects of the Mega-science class by the example of the National Research Nuclear University MEPhI. MEPhI is actively involved in the development, operation, and modernization of research projects of the Mega-science class, such as LHC, FAIR, NICA, RHIC, ITER, NEVOD. Participation in these megaprojects gives MEPhI an opportunity to gain unique new knowledge for the development of nuclear technologies and nuclear energy, to increase prestige and to gain access to modern high technologies. These issues were discussed at a conference “Personnel training and legal support for the implementation of scientific projects of the Mega-science class” organized by National Research Nuclear University MEPhI and Kutafin Moscow State Law University on June 20-21, 2019. The aim of the Conference is to discuss the policy management issues of implementation of the Mega-science class research projects.
NEVOD: A unique scientific facility of Megascience class
Authors: Petrukhin A A 
Published: November 2019

Abstract
The term “Megascience” appeared relatively not long time ago and has no distinct definition. Intuitively, this term is understood as something big and certainly expensive, i.e. a concept of “Megascience” is replaced by a concept of “Megamoney”. In this paper, the unique scientific facility “NEVOD Experimental complex” (USF NEVOD), which satisfies all requirements to Megascience facilities, is described. USF NEVOD provides conduction of basic and applied investigations of cosmic rays in the record energy interval 109 − 1019 eV. Obtained scientific results are considered, and their comparison with other, larger scale detectors is discussed. This comparison shows the advantage of original approach used in the NEVOD complex compared to traditional methods of investigations. Taking into account the location of USF NEVOD in the University, the Scientific and Educational Center was organized on its bases. This allows solve two important tasks: to provide permanent operation of USF NEVOD by envolving students and to ensure their training in frame of real scientific experimental investigations. Some other questions of development and functioning of unique scientific facilities are considered, too.
On personnel training for ITER in the Russian Federation
Authors: Kurnaev V , Kurnaev A 
Published: November 2019

Abstract
This paper describes the specifics of ITER, large-scale MegaScience-level international project, and analyzes the current personnel training challenges that Russia, as ITER participant, is facing. ITER needs a lot of specialists qualified in different fields of physics, engineering as well as in management and finance with practical experience in multi-cultural communication. The history of MEPhI involvement in training of undergraduate and PhD students in hot plasma physics and fusion technologies is briefly described. The features of training of students in English at lessons and international conferences and schools are also presented. The evaluation of the number of undergraduate and graduate students needed for training in Russia in fusion with magnetic confinement of plasma and personnel training for the ITER is given. Problems impeding the adequate personnel are enumerated as well as a set of measures that will help boost personnel training for this project.