bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decomposing the host galaxy from high-z QSOs using principal component analysis
Authors: He Wei , Wang Yi-Ping 
Published: October 2019

Abstract
High resolution deep imaging from space and adaptive optics techniques with large ground-based facilities have enabled studies examining faint host galaxies of high redshift quasi-stellar objects (QSOs). However, the related image processing techniques, especially for a precise point-spread function (PSF) reconstruction and characterization of the host galaxy light profiles, have yet to be optimized. We present here the scientific performance of a principal component analysis (PCA) based PSF subtraction of the central bright point source of high redshift QSO images, as well as further characterization of the host galaxy profile by directly fitting a Sèrsic model to the residual image using the Markov Chain Monte Carlo (MCMC) algorithm. With a set of reference PSF star images which represent interleaving exposures between the QSO imaging, we can create an orthogonal basis of eigen-images and restore the PSF of QSO images by projecting the QSO images onto the basis. In this way, we can quantify the modes in which the PSF varies with time by a basis function that characterizes the temporal variations of the reference star as well as the QSO images. To verify the algorithm, we performed a simulation and applied this method to one of the high-z QSO targets from Mechtley et al. We demonstrate that the PCA-based PSF subtraction and further modeling of the galaxy’s light profile using MCMC fitting would sufficiently remove the effects from central dominating point sources, and improve characterization ability for the host galaxies of high-z QSOs to the background noise level which is much better than previous two-component fitting procedures.
Unusual infrared emission toward Sgr B2: possible planar C24
Authors: Chen Xiu-Hui , Xiang Fu-Yuan , Yang Xue-Juan , Li Aigen 
Published: October 2019

Abstract
Interstellar graphene could be present in the interstellar medium (ISM), resulting from the photochemical processing of polycyclic aromatic hydrocarbon (PAH) molecules and/or collisional fragmentation of graphitic particles. Indeed, by comparing the observed ultraviolet (UV) extinction and infrared (IR) emission of the diffuse ISM with that predicted for graphene, as much as ∼2% of total interstellar carbon could be locked up in graphene without violating the observational constraints. While the possible detection of planar C24, a small piece of a graphene sheet, has been reported towards several Galactic and extragalactic planetary nebulae, graphene has not yet been detected in interstellar environments. In this work, we search for the characteristic IR features of C24 at ∼6.6, 9.8 and 20 μm toward Sgr B2, a high-mass star formation region, and find a candidate target toward R.A. (J2000) = 267.05855° and Decl. (J2000) = −28.01479° in Sgr B2 whose Spitzer/IRS spectra exhibit three bands peaking at ∼6.637, 9.853 and 20.050 μm which appear to be coincident with those of C24. Possible features of C60 are also seen in this region. The candidate region is a warm dust environment heated by massive stars or star clusters, associated with a WISE spot (a tracer of star formation activity), close to the HII region candidate IRAS 17450–2759, and is surrounded by seven young stellar object candidates within ∼5′, suggesting that the creation and/or excitation of C24 could be related to star formation activities.
Photometric analysis and evolutionary stages of the contact binary V2790 Ori
Authors: Kriwattanawong Wichean , Kriwattanawong Kriangsak 
Published: October 2019

AbstractA photometric analysis and evolutionary stages of the contact binary V2790 Ori are presented. TheBVRCobservations were carried out at the Thai National Observatory. The photometric light curves were fitted to provide fundamental parameters, required to examine evolutionary stages of the binary. The results indicate that V2790 Ori is a W-type contact system with a mass ratio ofq= 2.932. The orbital period increase is found at a rate of dP/dt= 1.03 × 10−7d yr−1. This implies that a rate of mass transfer from the secondary component to the primary one is dm2/dt= 6.31 × 10−8M⊙yr−1. Furthermore, we find that from the detached phase to the contact phase, the amount of mass that the evolved secondary component has lost is 1.188±0.110M⊙, i.e., mass lost by the system is 0.789±0.073M⊙and mass transfer to the primary is 0.399±0.037M⊙. Since the time of the first overflow, the angular momentum loss is found to be 72.2% ofJFOF, causing the orbit and Roche surface to shrink until the present time.
On the weak Lyα emission line of BL Lacertae objects
Authors: Bu Jia , Ma Ren-Yi , Fang Tao-Tao , Yu Xiao-Di , Cao Xin-Wu 
Published: October 2019

Abstract
Recent studies reveal that weak Lyα emission line may be a ubiquitous feature of nearby BL Laceratae objects (BL Lacs). We present a survey of the Lyα emission lines in BL Lacs, with a focus on data obtained by the Cosmic Origins Spectrograph onboard the Hubble Space Telescope. Among the 11 selected targets, seven show a clear detection of the intrinsic Lyα emission line, while one manifests a marginal detection. Two of these intrinsic Lyα lines are newly detected in this work (FBQS J1217+3007 and 3C 66A). Most selected BL Lacs are either high or intermediate-frequency peaked BL Lacs, with the only exception being one low-frequency peaked BL Lac. A strong anti-correlation between the line equivalent width and the continuum luminosity was found. The possible sources of ionizing photons that are responsible for production of the Lyα emission line are studied based on a widely accepted detailed accretion-jet model. It is found that the clouds of the broad line region are unlikely to be located in the jet cone region with an inclination angle of less than 10 degrees. Contributions from the jet and disk to the emission lines are found to be comparable. Additionally, a possible way to constrain the accretion rate from the emission line is proposed.
Shock Diffusion Analysis for a Directed Market Network Constructed with Use of the Risk Measure ΔCoVaR
Authors: Androsov Ivan , Faizliev Alexey , Korotkovskaya Elena , Lunkov Alexey , Mironov Sergei , Petrov Vladimir , Sidorov Sergei , Smolov Fedor 
Published: October 2019

Abstract
This paper studies a complex network formed as a directed graph in which nodes represent the companies traded on the NYSE or NASDAQ while directed edges represent a connectedness measure between the financial assets. The directed edge weight between any two nodes is calculated with use of the value of ΔCoVaR, one of the most popular systemic risk measures proposed by M. Brunnermeier and T. Adrian in 2011. The value of ΔCoVaR measures the relationship between any two assets and is based not only on the yields of the assets, but take into account the mutual effect of its performance. In contrast with correlation coefficient, ΔCoVaR is asymmetric. The analysis is focused on the static model of the ΔCoVaR estimation. Moreover, this paper uses statistical testing procedures to assess the significance of the findings and interpretations based on this co-risk measure. We examine the intrinsic properties and regularities of stock market analyzing the directed complex network with more than 3700 stocks as nodes which have been traded on the NYSE and NASDAQ in recent years. We connect any two stock with a directed edge if the value of the corresponding ΔCoVaR is statistically significant and its normalized value is greater than a given threshold. We discuss both out-degree and in-degree distributions and find essential vertices in the network, which represent the leading stocks. We demonstrate that the network follows the power-law distribution and behaves scale-free. Moreover, we address the problem of finding influential spreaders, i.e. companies which are more likely to spread negative shocks in a large part of the network. In this paper we use three different measures (closeness centrality, betweenness centrality, PageRank) to determine the most influential stocks in the directed market graph.
Food Chain Analysis Based on Graph Centrality Indicators
Authors: Kolesnikov Victor , Anikin Vasily , Mosolova Ekaterina , Faizliev Alexey , Mironov Sergei , Zemlyanskaya Maria , Pleshakov Michael , Sidorov Sergei 
Published: October 2019

Abstract
The knowledge of the structure and complexity of the food web is central for a better understanding of the ecosystem functioning. The food web analysis examines both species and energy flows among them, providing a natural basis for characterizing the ecological roles of the species and the mechanisms by which biodiversity influences the dynamics of the ecosystem. This paper, for the first time, presents the analysis of high-resolution food chain for the mixed forest ecosystem of Khvalynsky National Park.
Complex Variable Theorems for Finding Zeroes and Poles of Transcendental Functions
Authors: Giri Dr D V 
Published: October 2019

Abstract
The principle of the argument or the winding number is useful in finding the number of zeros of an analytic function in a given contour. A simple extension of this theorem yields relationships involving the locations of these zeros! The resulting equations can be solved very accurately for the zero locations, thus avoiding initial, guess values, which are required by many other techniques. Examples such as a 20th order polynomial, natural frequencies of a thin wire will be discussed.
Ostrogradsky-Gauss theorem for problems of gas and fluid mechanics
Authors: Prozorova Evelina 
Published: October 2019

Annotation
Usually the derivation of conservation laws is analyzed using the Ostrogradsky-Gauss theorem for a fixed volume without moving. The theorem is a consequence of the application of the integration in parts at the spatial case. In reality, in mechanics and physics gas and liquid move and not only progressively, but also rotate. Discarding the term means ignoring the velocity circulation over the surface of the selected volume. When taking into account the motion of a gas, the extra-integral term is difficult to introduce into the differential equation. Therefore, to account for all components of the motion, it is proposed to use an integral formulation. Next question is the role of the discreteness of the description of the medium in the kinetic theory and the interaction of the discreteness and "continuity" of the media is investigated. The question of the relationship between the discreteness of a medium and its description with the help of continuum mechanics arises due to the fact that the distances between molecules in a rarefied gas are finite, the times between collisions are finite, but on definition under calculating derivatives on time and space we deal with infinitely small.
New delay-dependent robust exponential stability for uncertain linear systems with multiple non-differentiable time-varying delays and nonlinear perturbations
Authors: Wongphat A , Pinjai S 
Published: October 2019

Abstract
This paper studies delay-dependent robust stability analysis for uncertain linear systems with constant delay, time-varying delay and nonlinear perturbations. The restriction on the derivative of time-varying delay is removed, which means that the fast time-varying delays are allowed. Combined with Leibniz-Newton formula, integral inequalities, Wirtinger-based integral inequality, Peng-Park’s integral inequality, utilization of zero equation and new Lyapunov-Krasovskii functional have been adopted to study. New delay-dependent robust stability criteria for uncertain time-delay systems are established in terms of linear matrix inequalities (LMIs). Numerical examples and simulation suggest that the results given to illustrate the effectiveness and improvement over some existing methods.
Mathematical model of a reactor for solid chemisorption refrigeration systems
Authors: Noriega Sanchez C J , Ballesteros H A , Gomes de Oliveira R , Guerrero Gomez G 
Published: October 2019

Abstract
The formulation of a mathematical model that allows simulating the operation of chemisorption refrigeration systems that use medium and low temperature thermal sources such as waste heat and have the purpose of increasing the energy efficiency of industrial and/or residential applications, is a prerequisite to design and facilitate the use of these systems. Such model is described here and is intended to evaluate the heat transfer inside of chemisorption reactor for refrigeration system that can operate with a metallic salt (sorbent) mixed with expanded graphite and NH3 as refrigerant fluid (adsorbate). The effectiveness of the model is validated through experimental results obtained for a SrCl2/NH3 pair allowing to postulate, a kinetic and thermal model that can be adapted to sorbent/adsorbate pairs of the same type operating under various conditions and thus quantify how operational variables affect the performance parameters of these systems. To this end, the impact of the cycle time and reactor radius on the specific cooling power (SCP) and the coefficient of performance (COP) is measured, concluding that these operational variables exert effects of an opposite nature on the SCP and COP of the system.
Novel considerations on the scaling of rate kernels in the equations of cluster aggregation
Authors: Brener A , Golubev V , Kazenova A , Sadyrbaeva A , Kenzhalieva A 
Published: October 2019

Abstract
The paper deals with the problem of scaling under calculating the rate kernels in the Smoluchowski equation of binary aggregation. Compact overview and critical analysis of the practiced today approaches have been submitted. It is shown that the known methods do not take sufficient account of the role of cluster internal restructuring under self-organization phenomena and dependence of their outward aggregation activity on the prehistory of cluster formation and their fine structure. The novel considerations on these two classes of problems which can be useful for creating a more careful methodology have been submitted.
The Power Normal distribution
Authors: Gonçalves Rui 
Published: October 2019

AbstractThe Inverse Box-Cox (BC) transformation (see [1]) produces the Power Normal (PN) distribution family that includes the log-normal and the normal distributions, see [2], [4] and [3]. The Box-Cox power transformation aims to transform data to approximate normality (truncated normal (TN)) therefore the knowledge of the its inverse scale is of major importance. In this paper we consider the univariate PN distribution, and, because in many applications there are more than one variable and correlation we also consider the bivariate PN distribution (BPN), see [6] and [5]. We give some important results concerning both distributions. In [6] it is given a formula to approximate the ordinary moments of the PN distribution, herein, we give an exact formula for the ordinary integer moments of the PN distribution. Regarding the BPN distribution, we calculate the marginal probability density functions (pdf) and we note that they are not univariate PN distributed however the conditional pdf is PN univariate. This is also true for the corresponding functions of the transformed scale, the TN distribution. The correlation curve or curve of the conditional momentsE(X2|X1=x1) that is useful to characterize the structure of the correlation is very well fitted by a power law modelf(x) =axb+c.
Progressive re-sampling for better rule set discovery
Authors: Sug Hyontai 
Published: October 2019

Abstract
Rough set theory-based knowledge discovery systems have the good property of discovering rule sets solely based on data so that objectivity in the discovered rule sets is very good. But, sometimes this property may hinder to find better knowledge models, depending on the composition of target data sets, especially when the data sets have key-like attributes, or data sets have some attributes having poor dependency to class attributes. Key-like attributes have minutely detailed values and the correspondence between conditional attributes and class attributes is precise. This paper shows how we can surmount the problem thru experiment. Two data sets are adapted for the experiment. A data set that has attributes of key-like and poor dependency was selected. And the other data set that does not have such properties is used to present a counter case. The experiment showed very good results and we found precautions when we apply rough set-based knowledge discovery systems. In addition, the experiment confirmed the fact that adding more data for target data set may increase the accuracy of knowledge models using rough set.
Hadamard Logarithmic Series and Inequalities on The parameters of a Strongly Regular Graph
Authors: Vieira Luís A. 
Published: October 2019

Abstract
Let G be a primitive strongly regular graph of order n and A its adjacency matrix. In this paper, we first associate an Euclidean Jordan algebra V to G considering the real Euclidean Jordan algebra spanned by the identity of order n and the natural powers of A. Next, by the analysis of the spectra of an Hadamard logarithmic series of V we establish new admissibility conditions on the parameters of the strongly regular graph G.
The Influencing Factors of Drug Addiction Based on Principal Component Analysis Model
Authors: Yu Gao 
Published: October 2019

Abstract
Nowadays, the United States is experiencing a global crisis about opioids. In order to solve this problem, based on the data of Ohio, Kentucky, Pennsylvania, Virginia and West Virginia, we used principal component analysis model and ARCMAP software to analyze the relationship between drug addiction and socio-economic factors. Taking the data of 2016 as an example, we use the principal component model to calculate the total score of each county on each index, and use ARCMAP software to draw the distribution map according to the color depth to reflect the score. By comparing the distribution map with the distribution map of opioid events in 2016, the relationship between drug addiction and socioeconomic is analyzed. It is concluded that drug addiction is related to education, the number of veterans and the number of disabled persons, but not to other indicators.
An approach to determine condition of boring tool using acoustic & vibration signals
Authors: Deole Pranjali S. , Chiddarwar Shital S. , Deshpande Vishwas S. 
Published: October 2019

Abstract
The work presented in the paper focuses on an approach for automatic system to determine boring tool condition, using acoustic signatures. This acoustic signal based tool wear prediction system removes the need for manual inspection of the tool cutting edges and minimizes the time used on wear measurement. The tool condition prediction system proposed in this paper for boring operation essentially utilizes acoustic sensor i.e. microphone. In order to understand effects of vibrations generated during boring operation on tool, vibration signals were also recorded and processed to compare it with acoustic signals. The signals were acquired by data acquisition system in LABVIEW environment. The data thus obtained were further processed using Fourier transform and wavelet transform. Using this transforms,12 number of time domain, frequency domain and time frequency domain features were collected then with soft computing techniques which are learning from data strategy i.e.RBF and MLP, prediction of tool condition was done. The experimental results were analyzed with respect to various depth of cuts, feed rates and cutting speed for EN8, EN-9 and EN-31 steel. This approach is well suited for determining condition of boring tool using acoustic and vibration signals.
Upgrading Strategy of Small and Medium Manufacturing Enterprises (SMMEs) to Smart Manufacturing
Authors: Zhang Baolei , Zhao Fuquan , Liu Zongwei 
Published: October 2019

Abstract
The contribution of Medium Manufacturing Enterprises (SMMEs) will not only weaken but also be strengthened under the background of smart manufacturing. It is the key point of achieving mass individualized production that lots of SMMEs with specialized and excellent manufacturing capability connect to smart manufacturing network. Nowadays, SMMEs of China are facing survival pressure and various severe challenge. Meanwhile, the developing experience and characteristics of SMMEs of China leads to the particularity of their upgrading process to smart manufacturing. The problems of process normalization, essential data, talents, and funds restrict SMMEs from upgrading to smart manufacturing seriously. It is very important for government, professional organizations, scientific research institutions, enterprises to do well on division of work and cooperation aiming at the key problems that enterprises are confronting now, in order to push forward the upgrading task to smart manufacturing together.
Automatic Hot Pressing System for Indium Packaging
Authors: Luo Yi , Li Yawei , Wang Xiaodong , Qiao Xiaoxu 
Published: October 2019

Abstract
Hot pressing is one kind of effective assembly technology to join two parts together. Automatic hot pressing need control both temperature and pressing force precisely and programmable. In this paper, an automatic hot pressing system for indium packaging is presented, the design motivation is to made the system reliable for application in industry and reach the accuracy requirement. A screw jack with servomotor is selected to actuate the hot pressing head to generate the pressing force, a linear encoder is used to detect the displacement of the screw jack to improve its motion accuracy. A force sensor is mounted underneath the 2-D platform to feedback the pressing force in real time. The hot pressing head is made up of four heating rods and a temperature sensor to control the pressing temperature. The exchangeable manipulator is designed to pick up parts with different size and shape. The machine vision is employed to calibrate the first set of parts to make the system flexible to product variety. The experimental results shown that the maximum force error is 9 N at working load of 2000 N and the temperature error is less than ± 0.3°C. The cycle time is 630 s.
Evaluation of The Leading Work Culture 5S in Industry
Authors: Rizkya I , Hidayati N , Sari R M , Tarigan U 
Published: October 2019

Abstract
At the moment the changes in the industrial world are getting faster, work demands increase based on the company wants. To support work it can be done easier and more comfortably, a effective and efficient work culture must be built. The effect of not succeeding in implementing an effective and efficient work culture is a work environment that is not clean and not neatly arranged. This paper will illustrate efforts to evaluate the application of the 5S (Five-S) work culture in the pine resin industry. 5S is applied to get a safe and comfortable working atmosphere. 5S stands for Seiri (sort), Seiton (Straighten), Seiso (Shine), Seiketsu (Standardize) and Shitsuke (sustain). The result of 5S evaluation is carried out in the pine gum industry produced a total score of 47, which 5S implementation was below the average, and a review was needed to increase the implementation of very weak of 5S component. The values of each 5S component are Seiri, Seiton, Seiso, Seiketsu and Shitsuke, respectively 17, 11, 7, 7, and 5. So the improvements are focused on Seiton, Seiso, Seiketsu and Shitsuke.