bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validating polarization effects in γ-rays elastic scattering by Monte Carlo simulation
Authors: Omer Mohamed , Hajima Ryoichi 
Published: October 2019

Abstract
The polarization properties of γ-rays elastically scattered by atoms have become more observable with the development of polarized photon beams. However, systematic studies are required to explore the elastic scattering in the MeV-energy range of the spectrum where Delbrück scattering becomes more significant, especially at large scattering angles. We implement a new Monte Carlo simulation to account for the polarization effects of elastic scattering. The simulation is based on explicit expressions driven in the formalism of Stokes parameters. The scattering amplitudes of Rayleigh, nuclear Thomson, and Delbrück scattering processes are superimposed onto a two orthogonal set of complex amplitudes. This set is then exploited to construct the core of the simulation in such a way that the simulation can handle arbitrary polarization states of the incoming beam and correspondingly generate polarization states of the outgoing beam. We demonstrate how the polarization of scattered photons is affected by the polarization of incoming photons. In addition, we explain the dependence of depolarization on the azimuthal angle.
Robust and broadband integrated terahertz coupler conducted with adiabatic following
Authors: Huang Wei , Yin Shan , Zhang Wentao , Wang Kaili , Zhang Yuting , Han Jiaguang 
Published: October 2019

Abstract
As the key concept in fabricating integrated device, surface plasmon-polaritons (SPPs) have been widely employed to artificially manipulate the electromagnetic waves in metallic surfaces. However, due to the highly structure-dependent resonance of SPPs, it is challengeable to develop a fixed device which can function at wide band. Here, we propose a novel broadband and robust SPPs directional coupler based on the tri-layered curved waveguides working at terahertz (THz) frequencies, where the coupling of SPPs between the adjacent waveguides can be modeled with coupled mode theory. By introducing the stimulated raman adiabatic passage quantum control technique, we achieve the complete transfer of SPPs from the input to the output waveguides in the range of 0.9–1.3 THz, and even considering the propagation loss, the transfer rate is still above 70%. Furthermore, the performance of our device is eminently robust because of its insensitivity to the geometry of structure and the wavelength of SPPs. As a result, our device can tolerate defect induced by fabrication processing and manipulate THz waves at broadband. This finding provides a new theoretical guideline in promoting THz on-demand applications, which is of significance in developing integrated THz devices.
Nonlinear mode coupling and internal resonance observed in a dusty plasma
Authors: Ding Zhiyue , Qiao Ke , Ernst Nicholas , Kong Jie , Chen Mudi , Matthews Lorin S , Hyde Truell W 
Published: October 2019

Abstract
In this paper, we report the first experimental observation of internal resonance in a dusty plasma, which shows the intrinsic nonlinearities of dust interactions in plasmas. When driving a system of vertically aligned dust particle pairs in the vertical direction, the horizontal motion is found to be excited during onset of internal resonance when the higher-frequency horizontal sloshing mode is nonlinearly coupled to the vertical breathing mode through the 1:2 commensurable relation. A theoretical model of the nonlinear interaction of dust particles in plasma is also provided and the results of the theoretical model are shown to match experimental observations.
Quantum-enhanced learning of rotations about an unknown direction
Authors: Mo Yin , Chiribella Giulio 
Published: October 2019

Abstract
We design machines that learn how to rotate a quantum bit about an initially unknown direction, encoded in the state of a spin-j particle. We show that a machine equipped with a quantum memory of

O
(
log
j
)

qubits can outperform all machines with purely classical memory, even if the size of their memory is arbitrarily large. The advantage is present for every finite j and persists as long as the quantum memory is accessed for no more than

O
(
j
)

times. We establish these results by deriving the ultimate performance achievable with purely classical memories, thus providing a benchmark that can be used to experimentally demonstrate the implementation of quantum-enhanced learning.
Interacting bosons in two-dimensional lattices with localized dissipation
Authors: Roy Arko , Saha Kush 
Published: October 2019

Abstract
Motivated by the recent experiments on engineering localized losses in quantum gases, we study the dynamics of interacting bosons in a two-dimensional optical lattice with local dissipation. Together with the Gutzwiller mean-field theory for density matrices and Lindblad master equation, we show how the onsite interaction between bosons affects the particle loss for various strengths of dissipation. For moderate dissipation, the trend in particle loss differs significantly near the superfluid-Mott boundary than the deep superfluid regime. While the loss is suppressed for stronger dissipation in the deep superfluid regime, revealing the typical quantum Zeno effect, the loss near the phase boundary shows non-monotonic dependence on the dissipation strength. We furthermore show that close to the phase boundary, the long-time dissipative dynamics is different from the deep superfluid regime. Thus the loss of particle due to dissipation may act as a probe to differentiate strongly-correlated superfluid regime from its weakly-correlated counterpart.
Consistency check on the fundamental and alternative flux operators in loop quantum gravity *
Authors: Yang Jinsong , Ma Yongge 
Published: October 2019

Abstract
There are different constructions of the flux of triad in loop quantum gravity, namely the fundamental and alternative flux operators. In parallel to the consistency check on the two versions of operator by the algebraic calculus in the literature, we check their consistency by the graphical calculus. Our calculation based on the original Brink graphical method is obviously simpler than the algebraic calculation. It turns out that our consistency check fixes the regulating factor

of the Ashtekar-Lewandowski volume operator as

, which corrects its previous value in the literature.
Lyapunov-type inequalities for a class of nonlinear higher order differential equations
Authors: Wang Haofan , Guo Xu , Zheng Jun 
Published: October 2019

Abstract
In this work, we establish several Lyapunov-type inequalities for a class of nonlinear higher order differential equations having a form

(

ψ
(

u

(
m
)

(
x
)
)

)

’

+

∑

i
=
0

n

r
i

(
x
)

f
i

(

u

(
i
)

(
x
)
)

=
0

, with anti-periodic boundary conditions, where m > n ≥ 0 are integers, ψ or fi
(i = 0,1,2,…,n) satisfies Lieberman-type structural condition. The obtained inequalities are extensions and complements of the existing results in the literature.
An expert weighting method based on affinity propagation clustering algorithm
Authors: Liu Bingqi , Hu Jianbo , Wang Yingyang , Liu Chang 
Published: October 2019

Abstract
Since the expert weighting method based on fuzzy kernel clustering algorithm is sensitive to initializing the clustering center, it is difficult to converge the iterative results to the global optimum. In this paper, an expert weighting method based on affinity propagation (AP) clustering algorithm is proposed to solve the problem of unreasonable clustering. This method uses AP clustering algorithm to cluster experts, since the number of clusters does not need to be set in advance, the clustering result is prevented from being limited by the selection of the initial cluster center, and improves the rationality of clustering. At the same time, the deviation entropy model is constructed to obtain the weights of experts, and effectively avoids the problem of the weighting method based on consistency ratio and information entropy that the consistency ratio and information entropy are equal but the expert opinions are different, and makes the expert weighting more scientific. The example indicates that the proposed method is feasible and effective.
Failure probability-based global and regional sensitivity analysis using copula
Authors: He Liangli , Lu Zhenzhou 
Published: October 2019

Abstract
In risk and reliability assessment, the failure probability-based global sensitivity analysis (GSA) and the failure probability-based regional sensitivity analysis (RSA) have attracted much interest. In this article, we deduce the relationship of the failure probability-based GSA importance measure and copula, and point out that the failure probability-based GSA importance measure can be interpreted as the dependence measure between the failure probability and the input variables from copula viewpoint. To calculate the importance measure, the least square fitting copula (LSFC) method is proposed subsequently. The method decouples the double-loop estimating of the conditional failure probability. Additionally, to analyze and identify the effects of the different regions of the input variables on failure probability, a RSA importance measure is proposed, its properties are investigated and proved. At last, an engineering example is employed to demonstrate and validate the effectiveness of the LSFC method and the proposed RSA importance measure.
The faster lattice sieving for SVP
Authors: Song Huibing , Gu Chunxiang , Zheng Yonghui 
Published: October 2019

Abstract
The security of lattice-based cryptography is based on the hardness of the difficult problems on lattice, especially the famous shortest vector problem. There are many famous heuristic lattice sieving algorithms to solve SVP, such as the Gauss Sieve, NV Sieve, which deal the full-rank n-dimensional lattice from start. Inspired by the idea of rank reduction, in this paper we present new technique on lattice sieving to make the algorithm solve the SVP faster. We split the basis of “bigger” lattice into several blocks according to some rule until the sublattice is small enough. Then we recursively sieved on these sub-lattices to get short vector lists. With the short vector lists, we can find the shortest vector when the algorithm recoverd the original lattice. This lead to obviously speedup with the recursive procedure without extra space overhead. Compared with the Gauss Sieve, the new method converge faster, and achieved at least 70% acceleration.
Stable and unstableperiodic solutions for quadratic contact Hamiltonians with a small parameter
Authors: Huang Yanan , Jia Leilei , Sun Xiuyu , Li Zhanyong 
Published: October 2019

Abstract
In this paper, we study the existence of periodic solutions for a class of quadratic contact Hamiltonian system with a small parameter by averaging theory.We have proved that the quadratic contact Hamiltonian system has a stable periodic solution and an unstable periodic solution when the corresponding parameter is small enough.
On Jensen’s inequality for the power function of norm of bounded linear operators
Authors: Li Zheng , Zhang Tie , Li Changjun 
Published: October 2019

Abstract
Some Jensen’s inequalities for the power function of norm of bounded linear operators are proposed. First, a Jensen’s inequality for a power function on ℝ is investigated. Based on it, Jensen’s inequality for the power function of norm of bounded linear operators is established. Finally, the discussion extends to the polynomial with non-negative coefficients of the power function of the norm, and corresponding Jensen’s inequality is obtained.
Sufficient optimality conditions for nondifferentiable multiobjective programming problem with generalized uniform invexity
Authors: An Gang , Gao Xiaoyan 
Published: October 2019

Abstract
In this paper, a new class of generalized invex functions named generalized uniform pseudoinvex (C, q) – type I, generalized uniform pseudoquasi-invex (C, q) – type I and generalized uniform quasipseudo-invex (C, q) – type I are defined by utilizing the Clarke subdifferential, where C is sublinear in the third argument. Then some sufficient optimality conditions are derived and proved for a class of nondifferentiable multiobjective programming problems involving the new generalized uniform invexity.
Research on the influence of different data distributions on the fitting results of subsonic compressible flow turbulence level and its uncertainty
Authors: Du Yufeng , Wang Xunnian , Lin Jun , Xiong Neng 
Published: October 2019

Abstract
On the basis of results of subsonic compressible flow turbulence level in high speed wind tunnels by hyperbolic fitting, the uncertainty of turbulence level is quantitatively studied by using Monte Carlo simulation method. In order to generate stochastic sample data for Monte Carlo simulation, two distribution types, uniform distribution and normal distribution, are used to generate the data points to be fitted. The effect of changing characteristic parameters of two distribution types on the turbulence fitting results and its uncertainty is studied. The results show that: (1) for uniform distribution, the larger the data distribution bandwidth is, the larger turbulence level and its uncertainty is; (2) for normal distribution, when the mean of the distribution is fixed and the standard deviation is changed, turbulence level results are basically the same, and the uncertainty and the standard deviation have the same trend; (3) comparing the two distribution types, turbulence level and its uncertainty can both be accurately solved, as long as the characteristic parameters are appropriate.
The existence of strong solution for a nonlinear elliptic equation
Authors: Li Junyan , Shen Jieqiong 
Published: October 2019

Abstract
In this paper, the existence of strong solution for a fully nonlinear elliptic equation is proved by using the acute angle principle for the compulsorily weakly continuous operator. Firstly, the space of function and the abstract operator are chosen according to the elliptic equation. Furthermore, it is proved that the operator satisfies the acute angle condition and is compulsorily weakly continuous. Thus the existence of strong solution for the nonlinear elliptic equation is obtained.
Balance of uplink and downlink energy consumption based on geometric weighting
Authors: Xu Peng , Yang Yanfei , Song Xin , Liu Guangli 
Published: October 2019

Abstract
In this paper, we study a full-duplex MIMO single-cell system in which a full-duplex MIMO base station simultaneously exchanges information with multiple single-antenna users. Full-duplex introduces additional self-interference and multi-user interference compared to half-duplex, resulting in conflicting coupling between the uplink and downlink. Therefore, we use the geometric weighted multi-objective method to weigh the uplink and downlink transmit power minimization problem under the minimum rate constraint. By transforming the original non-convex problem into a convex problem, a new weight function is established by means of geometric weighting to balance energy consumption better between the uplink and downlink. Through numerical simulations, it shows that the proposed algorithm shows better energy saving gain than the original method.
Interior-point methods for second-order cone optimization based on the generalized trigonometric barrier function
Authors: Xie Pengyang , Su Jinwei , Peng Xinyin 
Published: October 2019

Abstract
In this article, primal-dual interior-point methods (IPMs) for second-order cone optimization (SOCO) based on the generalized trigonometric barrier function are studied. Furthermore, we derive the iteration bounds of large- and small-update IPMs for SOCO.
Unmanned aerial vehicle (UAV) image haze removal using dark channel prior
Authors: Yu Jimin , Wang Yaoheng , Zhou Shangbo , Zhai Rumeng , Huang Saiao 
Published: October 2019

Abstract
The unmanned aerial vehicle (UAV) image taken in foggy or haze weather usually has lower contrast and fidelity, the quality of the image is seriously degraded. In this paper, we propose a dehazing model based on dark channel prior to dehaze the UAV image. We use a quad-tree hierarchical searching method to estimate the atmospheric light value, it can effectively avoid the influence of white objects in the image on the estimation of atmospheric light values. In the process of refining the medium transmission map, we propose a new regularization optimization scheme. Experimental results show that the proposed approach effectively recover the clear UAV image.
Global stability of a stochastic Beddington-DeAngelis type predator-prey model with time delay and stage structure for prey incorporating refuge
Authors: Fu Yanfang , Zhou Kai 
Published: October 2019

Abstract
In this paper, we first propose a stochastic Beddington-DeAngelis type predator-prey model with time delay and stage structure for prey incorporating refuge. Then, we obtain the existence and uniqueness of the global positive solution for this model. By constructing proper Lyapunov function, we establish the sufficient criteria for the global stability of the positive equilibrium point. At the last, we performed some numerical simulations to verify the main results.
Boundary feedback stabilization of a Rao-Nakra sandwich beam
Authors: Wang Yang 
Published: October 2019

Abstract
In this paper, we study the boundary feedback stabilization of a three-layer Rao-Nakra sandwich beam. Since we found a proper state space so that the energy of the system is dissipative. We then convert the beam system to an abstract first-order evolution equation with operator A. Afterwards, we obtain A is the infinitesimal generator of a C
0 – semigroup of contractions by using semigroup theory. The boundary damping makes the system is stable of order 1/2, which is proved by using the frequency domain characterization of polynomial stability.
MRT-LBM modelling of the oscillatory gas slide film damping in the transition regime
Authors: Li Pu , Song Xucheng 
Published: October 2019

Abstract
In this paper, the slide film damping (SFD) of micro-scale oscillatory Couette flow has been researched by an effective multiple relaxation time lattice Boltzmann method (MRT-LBM). The validity and effectiveness of MRT-LBM for solving SFD have been verified through contrasting the velocity distribution between the upper plate and the substrate of MRT-LBM and the direct simulation Monte Carlo (DSMC) model. The impacts of the vibration frequency and gap of plates on the damping are discussed, and the result shows that the nonlinear character of velocity profiles is manifest and SFD increases substantially for a larger vibration frequency in the oscillatory gas flow; SFD reduces obviously with the gap increases. Consequently, the results further confirm the implementation of LBM in analysis of the non-equilibrium micro-scale gas flow.
Electronic properties for detection of DNA methylation
Authors: Tian Yigeng , Liu Zhongqi , Cheng Yingying , Liu Haiying 
Published: October 2019

Abstract
Detection of DNA methylation is of great significance for early diagnosis and precise treatments of related cancers. We calculated electronic properties of base pairs including cytosine (C), 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC) with guanine (G). Calculation results show that modifications can regulate the energy gap of base pairs mainly by changing distributions of frontier orbitals and would not reduce the efficiency of charge transfer in DNA. 5fCG and 5caCG have better electrical transport properties due to the narrower gap and higher electron affinity compared with that of CG. Modified base pairs would remain stable when charge transport and not notably strengthen or weaken hydrogen bonding interactions of paired bases. Moreover, transverse electronic transport properties of benzamide with C and 5mC were studied by using the density functional theory (DFT) combined with the non-equilibrium green function (NEGF). The obtained current values of two systems have obvious difference under 0-0.2V biases, thus realizing the distinction of methylated cytosine.
Formulation of parameters of three-layer thermal protective clothing based on Fourier’s law
Authors: Luo Yu , Li Shuyi , Ye Shiqi 
Published: October 2019

Abstract
With the rapid development of metallurgy, construction, machinery manufacturing and petrochemical industry, safety accidents often occur under high-temperature working environment. Therefore, this paper analyses the heat conduction process of thermal protective clothing, according to the analysis of unstable heat conduction process with Conservation of Energy and Fourier’s law, so as to get the distribution of temperatures with the thickness variation of the material layer. Furthermore, we shall fit the relation between temperature and the thickness of the material layer when the heat transfer reaches steady state, and then determine the optimal range of the thickness of the thermal protective clothing material layer with the upper bound being the highest temperature which human can tolerate. And it can be promoted to the fields of fire protection, metallurgy, machinery manufacturing and other high temperature work.
Both on-ramp and off-ramp on the boundaries of totally asymmetric simple exclusion
Authors: Xiao Song , Chen Xiaoyu , Qi Lin , Liu Yanna 
Published: October 2019

Abstract
In this paper, both on-ramp and off-ramp on the boundaries of totally asymmetric simple exclusion process (TASEP) were considered. Here, particles can enter and leave the one dimensional lattice on the same site of boundaries by attachment and detachment. The changes of the phase diagrams and density profiles are given by theoretical calculations and the extensive Monte Carlo computer simulations. The result shows that the off-ramp and on-ramp can vary the diagram very obviously.
Impact of Prandtl numbers on turbulence modeling
Authors: Rahman Md Mizanur , LV Ming , Zhu Zefei 
Published: October 2019

Abstract
A low-Reynolds number (LRN)

k
-

ε
˜

turbulence model is devised that includes the near-wall turbulence modeling and turbulent Prandtl numbers σ(
k,ε,t
). A secondary source term added in the

ε
˜

-equation accounts substantially for the anisotropic production in near-wall regions. Hence, improved predictions of adverse pressure-gradient flows, involving separation and reattachment are obtained with a considerable reduction in the turbulent kinetic energy and length scale magnitudes. The eddy-viscosity formulation responds to both rotational and irrotational strains to better predict nonequilibrium flows. The current model employs no wall function/distance parameter to bridge the near-wall integration as required by conventional k-ε models. Model predictions are compared with direct numerical simulation (DNS) and experimental data; a good correlation is achieved.
Distributions of neutron flux from (p, n) reaction on the liquid lead target for accelerator driven subcritical reactor (ADSR)
Authors: Tien Tran Minh 
Published: October 2019

Abstract
This paper presents the results of calculating the distributions of neutron flux in an accelerator driven subcritical reactor (ADSR) with thorium fuel. The simulated ADSR consists of 90 fuel rods and 10 graphite reflector rods. All objects are placed in liquid lead. MCNP5 program is used to calculate energy distributions of the neutron flux, axial distributions and radial distributions inside the core of the ADSR. The results show that the neutron fluxes of 250, 450, 600 and 850 angles are similar; axial distributions of neutron flux decrease gradually; the neutron fluxes are the largest between 0.3 and 0.5 MeV. The radial distributions of neutron flux decrease gradually from center, and the largest value is between 30 and 40 cm. The results also show that the neutron fluxes are different with different radii. The results are important for the design and operation of the ADSR.