bluuebunny/crossref_metadata_2025_split huggingface dataset:
A mathematical optimization model for spatial adjustments of dose distributions in high dose-rate brachytherapy
Authors: Morén Björn , Larsson Torbjörn , Tedgren Åsa Carlsson 
Published: October 2019

Abstract
High dose-rate brachytherapy is a modality of radiation therapy used for cancer treatment, in which the radiation source is placed within the body. The treatment goal is to give a high enough dose to the tumour while sparing nearby healthy tissue and organs (organs-at-risk). The most common criteria for evaluating dose distributions are dosimetric indices. For the tumour, such an index is the portion of the volume that receives at least a specified dose level (e.g. the prescription dose), while for organs-at-risk it is instead the portion of the volume that receives at most a specified dose level. Dosimetric indices are aggregate criteria and do not consider spatial properties of the dose distribution. Further, there are neither any established evaluation criteria for characterizing spatial properties, nor have such properties been studied in the context of mathematical optimization of brachytherapy. Spatial properties are however of clinical relevance and therefore dose plans are sometimes adjusted manually to improve them. We propose an optimization model for reducing the prevalence of contiguous volumes with a too high dose (hot spots) or a too low dose (cold spots) in a tentative dose plan. This model is independent of the process of constructing the tentative plan. We conduct computational experiments with tentative plans obtained both from optimization models and from clinical practice. The objective function considers pairs of dose points and each pair is given a distance-based penalty if the dose is either too high or too low at both dose points. Constraints are included to retain dosimetric indices at acceptable levels. Our model is designed to automate the manual adjustment step in the planning process. In the automatic adjustment step large-scale optimization models are solved. We show reductions of the volumes of the largest hot and cold spots, and the computing times are feasible in clinical practice.
Continuous-variable ramp quantum secret sharing with Gaussian states and operations
Authors: Habibidavijani Masoud , Sanders Barry C 
Published: October 2019

Abstract
We aim to quantify and mitigate quantum-information leakage in continuous-variable quantum secret sharing (CV QSS). Here we introduce a technique for certifying CV ramp quantum secret-sharing (RQSS) schemes in the framework of quantum interactive-proof systems. We devise pseudocodes in order to represent the sequence of steps taken to solve the certification problem. Furthermore, we derive the expression for quantum mutual information between the quantum secret extracted by any multi-player structure and the share held by the referee corresponding to the Tyc–Rowe–Sanders CV QSS scheme. We solve by converting the Tyc–Rowe–Sanders position representation for the state into a Wigner function from which the covariance matrix can be found, then insert the covariance matrix into the standard formula for CR quantum mutual information to obtain quantum mutual information in terms of squeezing. Our quantum mutual information result quantifies the leakage of the RQSS schemes.
Pattern selection of three components Gray-Scott model
Authors: Rahim Huzaif , Iqbal Naveed , Cong Cong , Ding Zejun 
Published: October 2019

Abstract
The reaction-diffusion system demonstrates a variety of dynamical behaviours, and has become a standard model for explaining complex Turing patterns. In this work we have performed the analytical analysis of the three components Gray-Scott reaction-diffusion system. The analytical conditions for Turing instability about the homogeneous steady state has been derived. The linear stability is theoretically discussed. To determine the nature of pattern amplitude equation is derived by using weakly nonlinear analysis, which enumerates about the rich dynamical behaviour of this model, e.g. spot-, strip- and hexagon-patterns.
Extinction and persistence of a stochastic SIRS model with nonlinear incidence rate and transfer from infectious to susceptible
Authors: Zhang Qiuhua , Zhou Kai 
Published: October 2019

AbstractIn this paper, we propose a stochastic SIRS model with nonlinear incidence rate and transfer from infectious to susceptible. We first give the existence and uniqueness of the positive solution for this system. Moreover, the extinction of the disease and the persistence in the mean are established in the terms of a threshold value.
A new discriminant model for Parkinson’s disease based on logistic regression
Authors: Guo Pengcheng , Li Wei , Su Zhongyu 
Published: October 2019

Abstract
Although Parkinson’s Disease has significantly affected patients’ normal family and life, it’s difficult to find the correlations of many kinds of indicators and an effective way of diagnosing timely. In this paper, an efficient Discriminant Analysis model based on Logistic Regression is provided to give the reduction of Parkinson’s patients’ indicators and diagnose whether or not you have the disease. Firstly, Principal Component Analysis and Clustering Analysis are implemented to reduce the data dimension of Parkinson’s indicators and give the reductive clusters to complete the feature extraction. The 22 physical indicators data of 195 patients is efficiently 3 main components and 4 clusters. Secondly, according to the extracted features and discriminant analysis based on Logistic Regression, the new discriminant function is established. At last, Python programming is designed to input the characteristic values and output whether or not have the disease to finish the efficient computer implementation of this model. Its result that the accuracy of 195 Parkinson cases of discrimination is 100% has verified the efficiency of this model.
Evolution of cooperation driven by individual disguise in the public goods game with pool punishment
Authors: Wang Qiang , Chen Xiaojie 
Published: October 2019

Abstract
The phenomenon of individual disguise is pervasive in the real world. But in theory it is unclear what roles it plays in the evolution of cooperation. In this work we introduce individual disguise into a public goods game with pool punishment, and we assume that defectors choose to probabilistically disguise to escape punishment in interaction groups. By using the replicator equations, we show that the introduction of individual disguise hinders public cooperation in the conditions of low fine and low disguise cost no matter whether second-order punishment is considered or not. Besides, we find that the positive role of punishment is completely undermined in the absence of second-order punishment, whereas the situation is improved in the presence of second-order punishment.
An implicit integration factor method for a kind of spatial fractional diffusion equations
Authors: Zhao Yongliang , Zhu Peiyong , Gu Xianming , Zhao Xile , Jian Huanyan 
Published: October 2019

Abstract
A kind of spatial fractional diffusion equations in this paper are studied. Firstly, an L1 formula is employed for the spatial discretization of the equations. Then, a second order scheme is derived based on the resulting semi-discrete ordinary differential system by using the implicit integration factor method, which is a class of efficient semi-implicit temporal scheme. Numerical results show that the proposed scheme is accurate even for the discontinuous coefficients.
Effect and correction of segregation error in coal size distribution estimation by image analysis on a conveyor belt
Authors: Zhang Zelin , Hu Qi , Zhang Zhiwei , Wang Li 
Published: October 2019

Abstract
Online monitoring of rock size is of great significance for mining and mineral processing, and machine vision is regarded as the most suitable approach. Segregation error of coal piles is inherent in image-based size distribution estimation, leading to the difference between surface size distribution and overall size distribution. In this research, we analysed the segregation error and proposed a correction method for image-based size distribution estimation of coal piles on a conveyor belt. The paint spraying of rock particles makes the compare of actual surface size distribution and overall size distribution possible. Rosin-Rammler particle characteristic equation was used to build the correction model to reduce the segregation error in size distribution estimation. Test results indicated that the corrected overall size distribution is close to the actual overall size distribution, and the maximal absolute error reduces from 19.98% to 2.04%. This investigation is useful and valuable for the optimization and improvement of image-based size distribution estimation of coal piles on a conveyor.
Stabilization of a heat-like equation in rectangle domain
Authors: Ding Xing , Zhou Zhongcheng 
Published: October 2019

Abstract
In this paper, we discuss the stabilization of the heat-like equation in rectangle domain with boundary control. We firstly transfer the heat-like equation in 2D into series of heat equations in 1D via eigenfunction expansion, then, by using the normal backstepping transformation, we obtain the existence and estimate for series of kernel functions in transformations. Finally, combined with the states and controls estimate of series of heat equations, we finally obtain the exponential and finite time stabilization of the heat-like equation in 2D.
Uniform convergence analysis of finite difference approximations on adaptive mesh for general singular perturbed problems
Authors: Wang Antao , Sun Linan 
Published: October 2019

Abstract
In this paper we consider a more general singular perturbation problem, that is, −εu″(x) − a(x)u’(x) + b(x)u (x) = f(x) (0<ε≪1) on an adaptive grid. The mesh is constructed adaptively by equidistributing a monitor function based on the arc-length of the approximated solutions. Our analysis provide insight into the convergence behaviour on such mesh, and the posterior error estimates of piecewise linear interpolation about the approximate solution is investigated and an ε-uniform error estimate for the first-order upwind discretization of general singular perturbed problem is derived at last. We extend the relevant results of the document to a more general case.
Seismic waveform inversion using a neural network-based forward
Authors: Fu Hongsun , Zhang Yan , Ma Mingyue 
Published: October 2019

Abstract
The purpose of seismic waveform inversion is to obtain a geological model that is optimally fitted to the predicted seismic record and the measured seismic record. Since the forward model is repeatedly called during the inversion process, in order to improve efficiency, an efficient forward calculation method must be employed. In this study, we take a 2D wave equation as an example and propose a deep learning method as a forward model to minimize the prediction error value of seismic records. And the velocity inversion test of the Marmousi model is carried out by conjugate gradient method. Numerical experiments show that compared with the traditional finite difference method, the method can greatly reduce the calculation amount and improve the calculation efficiency.
Study on the reflection characteristics of the composite structure coupled with periodic plasma and frequency selective surface
Authors: Li Chuanbao , Hou Zhongyu 
Published: October 2019

Abstract
This paper proposes and prepares a composite structure composed of periodic plasma structure and three-dimensional (three-layer) metal period structure. The printed circuit board (PCB)-based frequency selective surface (FSS) is a double-layer conjugate structure. The periodic plasma structure consists of six horizontally aligned T8 fluorescent tubes. The composite structure exhibits some characteristics of plasma photonic crystal. The effects of periodic plasma structure, metal grids above periodic plasma and polarization angle on the reflection of metal periodic structure are studied in this paper. Experimental results show that FSS of the composite structure causes the reflection of electromagnetic wave to drop by 6.3 dB at 2.0 GHz compared with the composite structure without FSS. When the polarization angle is 30 degrees, the metal grids above the periodic plasma can further reduce electromagnetic wave reflection, and the reflection of a composite structure with metal grids is about 14dB lower than that of structure without metal grids at 1.89GHz. In addition, when the polarization angle changes from 0 degree to 30 degrees, the reflection of electromagnetic wave drops by 9.3 dB at the absorption peak.
Development of a body force model for a marine reactor in heaving motion
Authors: Li Weitong , Yu Lei , Rao Yuxian , Wang Cong 
Published: October 2019

Abstract
In the marine environment, sea wave affects the reactor coolant periodically through the additional forces. In this paper, a modified mathematical model is proposed and applied in the RELAP5/3.2 code in order to simulate the marine heaving condition. Then the influence mechanism of heaving motion and natural circulation features for an integral natural circulation reactor are analysed and discussed. The results show that the original flow distribution of prototype reactor is broken, however, the natural circulation is not interrupted. What’s more, the calculation shows that large amplitude and long period of heaving motion bring out violent oscillation, which is referential to the safety analysis of the reactor core.
Theoretical study on enhancement of DNA conductivity by copper modification of mismatched base pairs
Authors: Liu Haiying , Yang Deqi , Tian Yigeng , Cheng Yingying 
Published: October 2019

Abstract
DNA is a potential material for nanodevices. Metallization is a promising way to improve its conductivity. Two copper modified mismatched base pairs were designed by H-by-Cu replacement. The conductivities of these base pairs were studied by density functional theory (DFT) combined with nonequilibrium Green’s function (NEGF) method. Energy levels of copper modified mismatched base pairs were firstly compared with those of mismatched base pairs. The results show that HOMO-LUMO gaps are narrowed significantly by copper modification. This change indicates that the modification can enhance electronic properties of the studied systems. Then longitudinal charge transport properties of DNA fragments composed by repeating multilayers of base pairs were investigated with the measurable conductivity indices. The results prove that conductivities of the copper modified mismatched DNA can be significantly improved compared with those of the unmodified. More importantly, the mechanism of the enhancement of H-by-Cu replacement was revealed. This work may provide some theoretical supports for designs of DNA-based nanodevices.
Simple mean-error estimation of a recalibration scheme for constant-temperature anemometry measurements
Authors: Suzuki Hiroki , Shikata Yoshiaki , Mochizuki Shinsuke , Hasegawa Yutaka 
Published: October 2019

Abstract
The present study has addressed the error of a recalibration scheme for constant-temperature anemometry (CTA) measurement proposed in a recent study. This recalibration scheme could reduce the effects of the ambient temperature change, which should be negligible in a CTA measurement. The present study has investigated a temporal variation of the error due to the use of the recalibration scheme. In the present study, a calibration curve produced by the recalibration scheme is validated using a temporally varying calibration curve, which is based on the general form of a calibration curve used in CTA measurement. The range of velocity U considered in the present study is U = 1 − 40 m/s. As a result, the relative error of the calibration curve is significant in the range of small velocity. The relative error of the gradient of the calibration curve, which is equivalent to the error of the velocity fluctuation, is also significant in the range of both small velocity and free-stream velocity. A simple cubic function could accurately approximate the temporal variation of these relative errors. Moreover, a simple form for calculating the mean value of the relative error could be derived and validated using the present numerical results.
Separation simulation studies of large disturbance and high speed at low altitude
Authors: Fan Siyi , Fei Wanghua , Guo Pengfei , Zhang Xuan , Yin Geling , Zhang Weiqiang , Shi Rui , Ma Ye 
Published: October 2019

Abstract
Based on the secondary development function of ADAMS/VIEW, a parameterized simulation model of aircraft separation simulation is established by the external Fortran subroutine. A five-dimensional aerodynamic matrix is established in the program. The fourdimensional interpolation algorithm is used to calculate the aerodynamic values of the six components in real time, and the time-varying six-component aerodynamic data is provided for the aircraft and the lower stage. Based on the preliminary simulation analysis, based on the fully parameterized dynamic model, the variables such as angle of attack, side slip angle, pitch angular velocity, yaw angular velocity, roll angular velocity, aerodynamic force, aerodynamic moment, mass, and moment of inertia, which plays a role in predicting separation.
Monte-Carlo simulation study for uncertainty evaluation in turbulent statistics obtained by constant-temperature anemometry
Authors: Fujita Kenji , Suzuki Hiroki , Mochizuki Shinsuke 
Published: October 2019

Abstract
We evaluate the uncertainty of a recalibration scheme correcting for measurements of constant-temperature anemometry (CTA), where an observed velocity by CTA would be affected by variations in ambient temperature in an experiment. The present study elucidates the characteristics of the uncertainty quantitatively. A temporally evolving calibration curve is used to examine the uncertainty of the calibration curve. In the present study, we consider the temporally evolving curve to be a reference curve. The calibration curve predicted by the scheme is first examined. Here, the uncertainty of the gradient of the calibration curve is also considered. A Monte-Carlo simulation investigates the uncertainty in intensity and higherorder statistics of output-voltage fluctuation. Using the gradient of the calibration curve, this study derives a model for the statistics of the output voltage fluctuation, which is validated by the numerical simulation based on the Monte-Carlo simulation.
Detection method of wash angle caused by wingtip vortex for formation flight
Authors: Tao Yang , Lin Jun , Liu Zhiyong , Wang Xiaobing , Xiong Neng 
Published: October 2019

Abstract
The largest civil aviation aircraft in operation, Boeing 787 and A380, have very strong wingtip eddies. Wingtip eddy currents generally have many adverse effects on the aircraft in its range of influence. The influence of tip eddy current will cause different wash angles in different areas after the aircraft. The purpose of this method is to obtain the wash angle at different positions by using the calculated data. The wash angle obtained has important reference significance for the wash correction and risk assessment of aircraft flying in the tip swirl region.
Thermogravimetric analysis of combustion characteristics of coal gangue and petroleum coke mixture
Authors: Song Changzhong , Liu Kun , Gong Zhen , Liu Yan 
Published: October 2019

Abstract
In order to improve the comprehensive combustion efficiency of the steam coal and reduce waste of resources, combustion experiments of petroleum coke and coal gangue were carried out by thermogravimetric analyser at different proportions and heating rates. Combustion characteristic curves (TG, DTG, DTA) and combustion characteristic parameters of the blended samples were analysed by thermogravimetric analysis and thermogravimetric analysis. The optimum combustion ratio and combustion characteristic parameters of the blended samples were explored. Experiments show that the combustion performance of petroleum coke and coal gangue is the best when the mixture ratio of petroleum coke and coal gangue is 4:1 in air atmosphere and the flow rate is 30ml/min, and the combustion characteristics of petroleum coke and coal gangue are better than that of single sample. The burning effect of the mixed fuel is the best. The exothermic area of 15°C/min and 25°C/min is greater than that of 20°C/min, which indicates that the heating rate of 20°C/min is not conducive to exothermic.
Prediction model of stroke recurrence based on support vector machine
Authors: Chang Wenbing , Liu Yinglai , Xu Xingxing , Zhou Shenghan 
Published: October 2019

Abstract
Stroke is a disease characterized by high morbidity, high disability and high mortality. In recent years, with the progress of society and the improvement of people’s living standards, the cure and survival rate of stroke is gradually increasing, but at the same time, cases of recurrent stroke have also increased. Among the patients who have experienced recurrent stroke, it often leads to higher mortality and disability than those first-ever stroke patients. Therefore, it is important to improve the risk awareness of patients and medical workers, and to make scientific and accurate predictions on whether patients relapse, which is of great significance for the prevention and treatment of stroke. The purpose of this paper is to analyze the recurrence of stroke patients by analyzing the medical data of stroke patients, and to establish and develop a stroke prediction model based on Support Vector Machine (SVM). This model provides a basis for recurrence warning of stroke patients and rational allocation of medical resources.
An empirical assessment on provincial governance quality in China
Authors: Liu Jiandang , Yuan Huaxi , Wang Dong , Tang Jie , Qi Yunyun 
Published: October 2019

Abstract
Based on the existing literatures, this paper analyzes the panel data of provincial regions in China by using the global factor analysis method and the weighted average method. The results show that both the absolute and the relative improvements in government capacity, market ability and rule of law were higher in the majority of provinces studied in the central and western China between 2001 and 2015, while they were lower in most of provinces researched in the northeastern China.
On testing homogeneity of two covariance matrices with nonnormal data
Authors: Shen Jieqiong , Li Junyan 
Published: October 2019

Abstract
In this paper, we consider testing homogeneity of two high-dimensional covariance matrices without the normality assumption. The test statistic is constructed by the standard U-statistics. Furthermore, the asymptotic distribution of the test statistic is derived under some mild assumptions. Simulations show that the proposed test performs well and better in several cases than some existing tests.
Determinants of non-cash payments in Asian countries
Authors: Chen Ruixin , Yamaka Woraphon , Osathanunkul Rossarin 
Published: October 2019

Abstract
Non-cash payments, such as payment cards and digital payment, are more efficient ways to complete transactions when compared to cash payment. This study investigates the factors that influence the use of non-cash payments in 10 Asian countries, namely China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Thailand, and Vietnam. A panel data is used in this study and the period 2016-2017 is considered. To address the ill-posed problem caused by limited observations, generalized maximum entropy (GME) estimator is employed. The purposes of the study are to identify the cross-country determinants of non-cash payments and prove that GME estimator is the most effective estimation method. The results of data show that online banking penetration and debit card penetration are important factors boosting non-cash payments. In addition, the sales of desktop-PCs and the number of individuals who overed 35 years are the determinants of non-cash payments.