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Journal of Jilin University Science Edition
ISSN 1671-5489
CN 22-1340/O
主 任:韩啸
编 辑:赵立芹 王健 单凝 李琦
电 话:0431-88499428
E-mail:sejuj@jlu.edu.cn
地 址:长春市南湖大路5372号
    (130012)
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Table of Content
26 November 2019, Volume 57 Issue 06
Properties of Post Lie Superalgebra Structure
WANG Xu, WEI Zhu, ZHANG Qingcheng
Journal of Jilin University Science Edition. 2019, 57 (06):  1281-1286. 
Abstract ( 322 )   PDF (304KB) ( 89 )  
Through the definition of post Lie superalgebra, we discussed the basic properties of post Lie superalgebra structure, and gave some existence results of post Lie superalgebra. The  LR superalgebra and left symmetric superalgebra could be constructed by post Lie superalgebra, and the related results of commutative post Lie superalgebra structure were given.
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Properties of Soft Exact Sequences
WU Yue, MA Jing
Journal of Jilin University Science Edition. 2019, 57 (06):  1287-1291. 
Abstract ( 295 )   PDF (284KB) ( 108 )  
By using module theory and the basic properties of soft modules, we discussed the decomposition properties of soft homomorphism. Firstly, we defined a single  soft homomorphism of  soft modules and soft exact sequence. Secondly, 
we proved that every soft homomorphism could  be decomposed into  the composition of an epimorphism and a monomorphism. Finally, we discussed the basic properties of soft exact sequences, and gave equivalent conditions 
for several kinds of simple soft modulus sequence to be exact, and constructed a new  soft exact sequence by using two soft exact sequences.
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Strong Relaxation Limits of Higher Multidimensional Euler Equations
XU Zhilin, LIN Chunjin
Journal of Jilin University Science Edition. 2019, 57 (06):  1292-1298. 
Abstract ( 279 )   PDF (356KB) ( 77 )  
Using the method of energy integral, we discussed the global existence and strong relaxation limit of smooth solutions for higher dimensional Euler equations with damping when the initial values were sufficiently small, and  obtained the uniform a priori estimates of the solutions. We proved that the asymptotic behavior of the global solution was controlled by the porous media equation when the relaxation time tended to zero.
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Oscillation Criteria for a Class of Second Order NeutralGeneralized EmderFowler Equations with Damping Terms
LIN Wenxian
Journal of Jilin University Science Edition. 2019, 57 (06):  1299-1303. 
Abstract ( 196 )   PDF (292KB) ( 31 )  
The author considered oscillation of solutions for a class of  second order neutral generalized EmderFowler equations with damping terms. In order to achieve the purpose of linearization, the author first used  Riccati transformation   to deal with  the nonlinear terms and damping terms, and then used  Philo’s integral average method to establish the  oscillation  criteria for the solutions of these equations.
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Properties of Solutions of Variational Inequalities for Higher Order Strongly Pseudomonotone Mappings
HAN Wenyan, YU Guolin
Journal of Jilin University Science Edition. 2019, 57 (06):  1304-1308. 
Abstract ( 197 )   PDF (314KB) ( 58 )  
By introducing the notion of higher order strongly pseudomonotone maping and methods of analysis, we studied the existence and stability of solutions for a class of variational inequalities in Hilbert spaces, and obtained the stability results of approximate solutions of the variational inequalities and global error bound.
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Random Attractors for  Berger Equation with White Noise
WANG Xuan, SONG An
Journal of Jilin University Science Edition. 2019, 57 (06):  1309-1318. 
Abstract ( 207 )   PDF (397KB) ( 43 )  
We considered the random asymptotic behaviors of solutions for the Berger equation with white noise. By introducting the equivalent process of isomorphic mapping, and using asymptotic  a priori estimation technique and operator decomposition method, we proved the existence of random attractor in (H2(U)∩H10(U))×L2(U).
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Existence of Exponential Attractors forBoussinesq Equations with Memory
WANG Meixia, MA Qiaozhen
Journal of Jilin University Science Edition. 2019, 57 (06):  1319-1332. 
Abstract ( 341 )   PDF (465KB) ( 146 )  
We considered the longtime dynamical behavior of solutions of Boussinesq equations with  memory. Firstly, the original equation was transformed into a dynamical system by introducing a new variable. Secondly, the compactness of corresponding solutions semigroups associated with problem was proved by using the technique of operator decomposition and the compactness theorem on historical spaces. Finally, the exponential attractor of the memorytype Boussinesq equation was obtained by combining the existence of the exponential attractor, and the finite fractal dimension of the global attractor of the problem was obtained.
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Invariant Algebraic Surfaces, Hamiltonian Structures andDynamic Behavior at Infinity for  ThreeWave Interaction Model
NIU Yanqiu, YANG Shuangling, XU Mingxing
Journal of Jilin University Science Edition. 2019, 57 (06):  1333-1338. 
Abstract ( 223 )   PDF (2227KB) ( 65 )  
Firstly, by  using the elimination theory in algebraic geometry, we  gave sufficient conditions for the existence of  invariant algebraic surfaces in a three\|wave interaction model. Secondly, we constructed an infinite number of HamiltonianPoisson 
structures of the system, the system was bi\|Hamiltonian. Finally, we used the Poincaré compactification technique in R3 to describe the dynamic behavior at infinity of the system.
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Analysis Solution of  Lattice Boltzmann Model for Complex GinzburgLandau Equation
ZHANG Jianying, YAN Guangwu, LI Ting
Journal of Jilin University Science Edition. 2019, 57 (06):  1339-1344. 
Abstract ( 256 )   PDF (336KB) ( 57 )  
By using the method of Chapman analysis in the lattice Boltzmann model, we gave the general forms of a series of partial differential equations and Chapman polynomials. By solving the equilibrium distribution functions for complex GinzburgLandau equation, we gave the expressions of distribution functions on different time scales, and then obtained analysis solutions of  the lattice Boltzmann for complex GinzburgLandau equation.
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Schur Factorization and Orthogonal Diagonal Factorizationof Quasirow (column) Symmetric Matrices#br#
YUAN Huiping
Journal of Jilin University Science Edition. 2019, 57 (06):  1345-1350. 
Abstract ( 291 )   PDF (343KB) ( 38 )  
The author considered the Schur factorization, orthogonal diagonal factorization, Hermite matrix factorization and generalized inverse of quasirow (column) symmetric matrices, gave the  formulas of the Schur factorization, orthogonal diagonal factorization, Hermite matrix factorization and generalized inverse of quasirow (column) symmetric matrices. The calculation results show that the method not only reduces the amount of calculation and storage, but also does not reduce the numerical accuracy.
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Maximum Eigenvalue Algorithm of Nonnegative Matrix under  Diagonal Similarity Transformation#br#
WANG Xincun, LV Hongbin, SHANG Yuying
Journal of Jilin University Science Edition. 2019, 57 (06):  1351-1356. 
Abstract ( 258 )   PDF (341KB) ( 168 )  
By introducing a parameter, we constructed a positive diagonal matrix related to the row sum of the iteration matrix. By using the positive diagonal similarity transformation of matrices, we gave a numerical algorithm for computing the maximum 
eigenvalue and corresponding eigenvectors of irreducible nonnegative matrices. The selection of parameters in each step of the algorithm is  flexibe and the convergence speed is improved.
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Non-monotone Cubic Regularization BB Algorithmfor Unconstrained Optimization
CHU Wangli, LIU Hongwei, LIU Zexian
Journal of Jilin University Science Edition. 2019, 57 (06):  1357-1366. 
Abstract ( 310 )   PDF (1149KB) ( 54 )  
Firstly, a BB(BarzilaiBorwein)type parameter was used to construct the approximate matrix of the Hessian matrix of the objective function, and the trial step was solved by minimizing the cubic regularized approximation gradient model at the current iteration point. Secondly, a nonmonotone cubic regularization BB algorithm was proposed based on nonmonotone line search strategies. Finally, the convergence of the proposed algorithm was proved. Numerical experiment results show that the numerical performance of the algorithm is good.
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Homotopy Interior Point Method for Solving a Class ofMultiobjective Programming Problems in Unbounded Regions
SU Menglong, LV Xianrui
Journal of Jilin University Science Edition. 2019, 57 (06):  1367-1371. 
Abstract ( 195 )   PDF (313KB) ( 59 )  
We proposed a homotopy interior point method for solving a class of the multiobjective programming problems in  unbounded constrained sets. Firstly, by using the Hessian matrix of the objective function, we constructed a set of unboundedness conditions, and gave a simple  example to illustrate these conditions. Secondly, we  proved the existence of the interior path connecting a given initial point and a solution point of the multiobjective programming problems. Finally, we gave the global convergence results of the homotopy interior point method.
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Application of Pure MeshFree Parallel Computation in  Numerical Simulation  of Heat Transfer Equation
XU Kang, REN Hengfei, REN Jinlian, JIANG Tao
Journal of Jilin University Science Edition. 2019, 57 (06):  1372-1378. 
Abstract ( 236 )   PDF (1341KB) ( 96 )  
We considered application of pure meshfree parallel computation in  numerical simulation  of heat transfer equation. Firstly, we reserved  the Taylor expansion to the third derivative, and extended the pure mesh-free finite pointset method (FPM) to solve the three-dimensional heat conduction equation in order to improve the numerical accuracy. Secondly, we introduced massage passing interface (MPI) parallel computing technology  to improve the computational efficiency by parallel use of multiple CPUs through cyclic statements, and obtained a reliable and efficient pure grid parallel FPM algorithm for three-dimensional heat conduction problem. In the numerical example, we first solved the heat transfer problems with different boundary conditions in different regions, compared it with the analytical solutions, and analyzed the calculation efficiency and error of the proposed algorithm. Then we used  the parallel algorithm  to simulate and predict the temperature 
evolution process with time in functionally graded materials, and  compared it with other numerical results to verify the reliability of the numerical prediction.
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INAR(1) Model on Integer Value Z with Mixed Signed Thinning Operator
MAO Huiyu, LI Qi
Journal of Jilin University Science Edition. 2019, 57 (06):  1379-1384. 
Abstract ( 273 )   PDF (835KB) ( 128 )  
Using mixed signed thinning operator,  we established INAR(1)  model on integer value  Z  proved the strict stationarity and  ergodicity of the model, discussed  the transition probabilities,  the conditional expectation and variance of the model,  and we used the  maximum likelihood method to estimate parameters.
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Bayesian Estimation and Prediction of NGINAR(1) Model
YANG Yanqiu, WANG Dehui
Journal of Jilin University Science Edition. 2019, 57 (06):  1385-1390. 
Abstract ( 217 )   PDF (493KB) ( 60 )  
Firstly, the  Bayesian method was used to study  the problem of parameter estimation in the NGINAR(1) model, and then the method of conditional distribution prediction was used to predict  the NGINAR(1) model. The  simulation result shows that Bayesian estimation is better than the conditional least squares and YuleWalker estimation, and the method of conditional distribution prediction is more suitable for integervalued series than the method of conditional expectation prediction.
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Multivariate Volatility Estimation of SVARGARCH Model
XIE Pengfei, YE Jimin, WANG Junyuan
Journal of Jilin University Science Edition. 2019, 57 (06):  1391-1399. 
Abstract ( 302 )   PDF (1217KB) ( 54 )  
We considered  the multivariate volatility of SVARGARCH model, and proposed a new method for estimating volatility. Firstly, the causal structure and error item of statistical independent were solved by independent component analysis (ICA) method, and  the relationship between the conditional covariance matrix of the residual term and the conditional covariance matrix of the error term was established. Then, the impulse response of the conditional volatility of multivariable GARCH model 
was estimated by using the estimation results of univariate GARCH model and the causal structure of recognition, and the  estimation of multivariate volatility was realized. This method could effectively reduce the estimated parameters. The experimental  results show that the volatility estimated by the new method is consistent  with the law of energy futures market.
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Estimation of Lower Bounds of  Blow-up Time for Variable Sign Solutions of Semilinear Parabolic Equations with Nonlocal Sources#br#
SUN Aihui, CHEN Peng, LI Yan, BAO Kaihua
Journal of Jilin University Science Edition. 2019, 57 (06):  1400-1402. 
Abstract ( 182 )   PDF (270KB) ( 37 )  
We considered  the blow\|up properties of solutions of Neuman boundary value problems for  a class of semilinear parabolic equations with nonlocal sources. By constructing auxiliary  functions and  using  the first order differential inequality, we gave the estimation of  lower bound of  blow\|up time for  solutions of the  equations.
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Rigidity of Complete Noncompact GradientExpanding Ricci Solitons
CHEN Jiarui, LIU Jiancheng
Journal of Jilin University Science Edition. 2019, 57 (06):  1403-1406. 
Abstract ( 212 )   PDF (284KB) ( 44 )  
By using the existing rigidity theorem of gradient Ricci solitons, we discussed complete non-compact gradient expanding Riccisolitons. Under the conditions that the Ricci curvature was non-negative, the radial curvature vanished and the fourth order divergence of the Weyl tensor was non-negative, we obtained its rigidity result.
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Population Model with Age Structure Solvedby Finite Element Method 
HAO Yongle, ZUO Ping, ZHU Qing
Journal of Jilin University Science Edition. 2019, 57 (06):  1407-1410. 
Abstract ( 254 )   PDF (416KB) ( 57 )  
We considered  the numerical solution of  population model with age structure and random diffusion term.  Firstly, we integrated the model, obtained  the simplified form of partial differential equation, and gave its  variational trentment. Secondly, we  used finite element method with equal partition as finite interval to solve model numerically, and gave  the full discrete form and error analysis. Finally,  we gave a numerical solution and error analysis of poulation  model in numerical simulation.
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Bounded Solutions of Singular Differential Equation with Asymptotic Conditions
ZHAO Jin
Journal of Jilin University Science Edition. 2019, 57 (06):  1411-1415. 
Abstract ( 222 )   PDF (289KB) ( 49 )  
Applying Schauder fixed point theorem, the author considered a class of secondorder singular differential equation with asymptotic conditions, proved the existence of bounded solutions, and generalized the conclusion of bounded solutions of the arctic circulation model to general second\|order singular differential equations.
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A New ETLBO Algorithm Combined with Reward Mechanism
WU Yunpeng, CUI Jiaxu, ZHANG Yonggang
Journal of Jilin University Science Edition. 2019, 57 (06):  1416-1424. 
Abstract ( 339 )   PDF (493KB) ( 64 )  
By introducing a new reward mechanism into the original elitist teachinglearningbased optimization (ETLBO) algorithm, we proposed a new ETLBOreward algorithm combined with the new reward mechanism, and proposed a simple adaptive elite number RETLBOreward algorithm based on the ETLBO-reward algorithm. The proposed algorithm retained the advantages of traditional algorithm, such as few parameters, easy implementation and fast convergence and so on, and further improved convergence ability of traditional algorithms. The test results of six continuous nonlinear optimization problems show that the two algorithms have good performance, and compare with the original ETLBO algorithm, the efficiency of the solution is obviously improved.
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A Robust Image Segmentation Algorithm Based on Unsupervised Clustering
HU Yating, LI Changming, LIU Zhenxin, REN Hongbin, CHEN Yinghua
Journal of Jilin University Science Edition. 2019, 57 (06):  1425-1430. 
Abstract ( 337 )   PDF (8176KB) ( 46 )  
Aiming at the problem that sensitivity to noise was evitable for image segmentation algorithm based on fuzzy C-means clustering, we proposed an image segmentation algorithm based on unsupervised possibilistic clustering with automatic
 weighting. Firstly, the initialization center of the possibilistic C-means clustering algorithm was determined by means of mean shift iteration, and cluster partition was automatically determined by pattern search property of possibilistic clustering. Then, the image was weighted according to the relationship of the gray values of the pixels. By correlating the weighted coefficients with the possibility of pixel noise, the influence of noise on image segmentation was reduced. The experimental results show that compared with the image segmentation algorithm based on fuzzy C-means clustering, the proposed algorithm not only achieves better segmentation result, but also has higher computational efficiency of unsupervised segmentation and more robust to noise.
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An Optimized K-means++ Algorithm Guided by Local Probability
WANG Haiyan, CUI Wenchao, XU Peidi, LI Chuang
Journal of Jilin University Science Edition. 2019, 57 (06):  1431-1436. 
Abstract ( 286 )   PDF (736KB) ( 62 )  
Aiming at the problem that the number of experiment had an inaccurate effect on the square of errors when the K-
means++ algorithm was used to select the initial clustering center to calculate the sum squared error, we proposed a PK-means++ algorithm. The results show that the sum squared error after clustering is more stable than the original K-means++ algorithm under the same K-value when the algorithm clusters the scattered data, so the stability of random experiment value is better guaranteed.
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ComputerGenerated Image Recognition Algorithm Based onImproved Local Binary Pattern and Gradient Features
YUAN Zhe, SUN Yanjun, CHEN Liang
Journal of Jilin University Science Edition. 2019, 57 (06):  1437-1441. 
Abstract ( 234 )   PDF (4979KB) ( 39 )  
Aiming at the problems of high computational complexity and low detection rate of current computergenerated image recognition algorithm, we proposed a computergenerated image recognition algorithm based on improved local binary pattern (LBP) and gradient feature. The improved algorithm was mainly based on the local texture feature of the image. Firstly, the feature vectors of the computergenerated images and the natural images were extracted, and then these features were classified by SVM classifier. The experimental results show that the proposed algorithm can effectively discriminate computergenerated images and real images.
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Improved SpatioTemporal Context Algorithm Based on Dictionary Learning
ZHANG Yao, CAI Hua, CAO Lu, WANG Bingxue, CHEN Guangqiu
Journal of Jilin University Science Edition. 2019, 57 (06):  1442-1448. 
Abstract ( 216 )   PDF (2636KB) ( 51 )  
Aiming at the problem of failure of tracking target caused by strong occlusion, we proposed an improved spatiotemporal context algorithm based on dictionary learning. Firstly, foreground dictionary and context dictionary were constructed in the target area and the context area, and then we used the characteristics of the sparse solution to give higher weight to the feature of the extraction target, the feature with good effect was used to update the template and construct a new conditional probability. The experimental results show that the tracking success rate of spatiotemporal context algorithm is 195% in the data set with severe occlusion, and that of the improved algorithm is 945%. The improved algorithm can effectively resist the occlusion problem and track stably in the case of strong occlusion.
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Intrusion Awareness Prediction Algorithm for Mobile Networkwith Low Matching Degree Heterogeneous Information in Cloud Computing Environment#br#
CHEN Huijuan, ZHAO Xu, CHEN Liang
Journal of Jilin University Science Edition. 2019, 57 (06):  1449-1455. 
Abstract ( 235 )   PDF (666KB) ( 98 )  
When the traditional grey neural network combination prediction algorithm predicted the intrusion information in the network, it lacked the preprocessing process of low matching degree heterogeneous information, did not predict the intention of information intrusion attack, and had some problems, such as low prediction accuracy and poor intrusion prevention performance. We proposed a new intrusion awareness prediction algorithm for mobile network with low matching degree heterogeneous information in cloud computing environment, and preprocessed the low matching degree heterogeneous information of initial network by grey model. Firstly, the intrusion attack intention matrix was obtained by using the intrusion awareness prediction algorithm with low matching degree heterogeneous information based on metapath. Then, according to the matrix, the function relationship of intrusion attack intention was obtained, and intrusion attack intention prediction with the low matching degree heterogeneous information was realized. The experimental results show that the proposed 
algorithm can fully predict the intention and process of the information intrusion, the success rate of the defense for intrusion information node is about 85%, the false alarm rate and the missed alarm rate are low, and the prediction accuracy is high.
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Data and Energy Collaboration Routing Algorithm Based on VANET
CHEN Hanlin, HU Ming, HU Jiejun, YAN Hui
Journal of Jilin University Science Edition. 2019, 57 (06):  1456-1464. 
Abstract ( 234 )   PDF (806KB) ( 58 )  
Aiming at the problem of high carbon footprint and deployment cost for roadside units in vehicular adhoc networks, we proposed a data and energy collaboration routing algorithm in the vehicular adhoc network, which maximized the network life cycle through energy collaboration between roadside units and energy transmission between roadside units and downstream vehicles. The roadside unit nodes could collect energy from the nature and vehicles , and transmitted a portion of energies obtained by roadside unit nodes to the neighboring roadside unit nodes through energy collaboration. By analysing the data rate, transmission power and energy transmission, we solved the problem of maximum network life cycle in the conservation law of energy and data routing. We determinied the necessary conditions for the joint optimization strategy of energy and data routing, and updated the data flow, energy flow and power control based on distributed LagrangeNewton iterative algorithm, so that the algorithm could converge to the optimal operation point more quickly. The experimental results show that energy cooperation framework in vehicular adhoc networks can effectively improve the network life cycle.
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Load Balancing Problem Based onGenetic Coral Reef Optimization Algorithm
YUAN Helu, WEN Changji, WU Jianshuang, ZHU Yungang, YU Helong
Journal of Jilin University Science Edition. 2019, 57 (06):  1465-1471. 
Abstract ( 203 )   PDF (465KB) ( 31 )  
Based on the coral reef optimization algorithm, we proposed a genetic coral reef optimization algorithm by introducing crossover and mutation operators in genetic algorithm into each evolution process of population. The improved genetic coral reef optimization algorithm was applied to load balancing. The  algorithm effectively solves the problem of premature convergence and improves the optimization performance of the algorithm. Comparing swarm intelligence algorithms such as classical genetic algorithm and coral reef optimization algorithm, simulation results on CloudSim show that the genetic coral reef optimization algorithm achieves satisfactory results in optimizing load balancing strategy, thus improving the utilization rate of energy consumption and balancing the control strategy.
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Distance Image Classification Method for Remote Sensing Imaging Radar Based on PDE
YAN Ying
Journal of Jilin University Science Edition. 2019, 57 (06):  1472-1478. 
Abstract ( 313 )   PDF (6576KB) ( 63 )  
Aiming at the problem that the traditional method of classification of remote sensing imaging radar range images did not smooth the image, which made it vulnerable to environmental interference and poor classification performance, the author proposed a distance image classification method for remote sensing imaging radar based on partial differential equation. Firstly, the author smoothed the distance image of remote sensing imaging radar by improving the partial differential equation. Secondly, a multiregion segmentation model based on partial differential equation was used to treat the distance image classification process of remote sensing imaging radar as minimization process of generalization function, the multiregion classification of the distance image of remote sensing imaging radar was realized by minimizing the energy function through the segmentation. Experimental results show that the proposed method has fast imaging speed, good denoising and image segmentation effect, high classification accuracy and Kappa coefficient value.
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Parameter Optimization of Text Feature Vectorof Nave Bayesian Classifier
FANG Qiulian, WANG Peijin, SUI Yang, ZHENG Hanying, LV Chunyue, WANG Yantong
Journal of Jilin University Science Edition. 2019, 57 (06):  1479-1485. 
Abstract ( 276 )   PDF (453KB) ( 274 )  
Nave Bayesian algorithm was used to build an automatic Chinese text classifier, and the selection of relevant parameter was studied to realize the efficient classification of Chinese text. Firstly, in model training stage, N-gram model was used to extract feature vectors from training data sets. Secondly, Nave Bayesian algorithm was used to build a text classifier. Finally, in model testing stage, in order to improve the classification accuracy, term frequencyinverse document frequency algorithm was used to extract feature vectors of the test samples. The results show that when extracting feature vectors from training sets, 2-gram model and 4-gram model have the best effect of feature extraction; when selecting the length of feature vectors, the length of 25 000 can make the greatest increment of classification accuracy and ensure a higher accuracy; when determining the characteristic of feature items, the accuracy is the highest when both verbs and nouns are selected, and the lowest when only verbs are selected.
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Electronic Data Forensics Method Based on Docker Container
LI Pengchao, ZHOU Kai
Journal of Jilin University Science Edition. 2019, 57 (06):  1485-1490. 
Abstract ( 446 )   PDF (539KB) ( 213 )  
Aiming at the shortcomings of forensic technology based on Docker container, we proposed an investigation and forensics model based on Docker host, and gave a targeted data forensics method according to the different states of the Docker host in 
the forensic model. The experimental results show that the forensics  can obtain relevant electronic evidence more specifically by using the model.
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Fe3O4/rGO Composite Film Prepared byStepbyStep Thermal Reduction Method
WANG Yu, WANG Lili, WANG Xin, CHEN Rui, LI Hongguang, LIU Zhenghang, CHEN Guoli
Journal of Jilin University Science Edition. 2019, 57 (06):  1491-1496. 
Abstract ( 185 )   PDF (3251KB) ( 72 )  
Firstly, a mixture solution of Fe3O4 nanoparticles and graphene oxide was prepared by solutionblending method. Then, 
Fe3O4/rGO composite film was prepared by stepbystep thermal reduction method from room temperature up to 160 ℃. X-ray diffraction, Fourier transform infrared spectroscopy and scanning electron microscopy were used to characterize the structure and morphology of the films with different mass fractions of Fe3O4. We used vector network analyzer to test electromagnetic parameters of the composite film. The results show that when the mass fraction of Fe3O4 is 40%, the absorbing wave performance of the composite film is 17.30 dB at frequency of 1072 GHz with a matching thickness of 2.0 mm, and the effective absorption bandwidth less than -10 dB is 3.28 GHz.
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OneDimensional Magnetic Controlled Photonic Crystal
WANG Guanghuai, ZHANG Xiaoru, PAN Qing, YAN Lu, LIU Xiaojing, YANG Fuquan, REN Mingli, DING Xuemei, MIAO Chang, GUO Yiqing
Journal of Jilin University Science Edition. 2019, 57 (06):  1497-1503. 
Abstract ( 191 )   PDF (720KB) ( 42 )  
By using transmission matrix, we studied transmission characteristics of onedimensional photonic crystals with (AB)nD(BA)n and (AB)nDF(BA)n structure, in which the layers D and F were rotating magnetic material. We analyzed the influence of it on transmission rate by changing its external magnetic field. The results show that with the change of external magnetic field intensity, the defect mode can be produced and eliminated, and the position, number and spectral width of the defect modes are all changed. Therefore, the tunability of transmission of photonic crystal can be realized by changing the external magnetic field intensity.
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Spectral Properties of Propylene Oxide Molecule under Asymmetric External Field
LIU Wenyan, BAO Jie
Journal of Jilin University Science Edition. 2019, 57 (06):  1504-1508. 
Abstract ( 174 )   PDF (1348KB) ( 32 )  
We calculated the excitation energy, wavelengths, oscillator strength of CH3—C2H3O molecule from ground state to the first ten different excited states by using the method of density functional theory B3P86 and timedependent density functional theory (TDDFT) at the basis sets 6311++G(2df), and investigated the excited states of CH3—C2H3O molecule under different external electric fields. The results show that the excitation energies of the first ten excited states of CH3—C2H3O decrease sharply with the increase of the external electric field. The molecules  are easy to be excited and dissociated under the external electric field.
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FirstPrinciple Calculation of Optical, Elastic and Thermodynamic Properties of Brookite-TiO2 Crystal
GAO Song, LUO Chuan, WANG Yue
Journal of Jilin University Science Edition. 2019, 57 (06):  1509-1512. 
Abstract ( 238 )   PDF (554KB) ( 38 )  
We studied the optical, elastic and thermodynamic properties of brookite-TiO2 crystal by using firstprinciple calculations based on the density functional theory. The results show that the corresponding energies of the plasma oscillating frequency of brookite-TiO2 crystal are 224,404 eV, respectively,  and the structure of brookite-TiO2 crystal is mechanically stable and thermodynamically stable.
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Effect of MBS on Properties of PLA/GMS/MBS Blown Films
ZHAO Jili, ZHANG Huiliang, GAO Ge
Journal of Jilin University Science Edition. 2019, 57 (06):  1513-1518. 
Abstract ( 191 )   PDF (1684KB) ( 159 )  
The ternary blends of polylactic acid, poly (methyl methacrylatebutadienestyrene), and glycerol monostearate were prepared by meltblended method and blown films were prepared. Poly (methyl methacrylatebutadienestyrene) was used as toughener and glycerol monostearate as plasticizer. The crystallization morphology, mechanical properties, optical properties of the PLA/MBS/GMS films were studied. The results show that the addition of MBS can improve the mechanical properties of polylactic acid/poly(methyl methacrylatebutadienestyrene)/glycerol monostearate films and promote the crystallization properties of polylactic acid.
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Mechanism of Chiral Enantiomer Transition of PhenylalanineMolecules and Catalysis of Water Molecules (Clusters)
PAN Yu, GAO Feng, WANG Ye, LI Bing, YANG Xiaocui, WANG Zuocheng
Journal of Jilin University Science Edition. 2019, 57 (06):  1519-1529. 
Abstract ( 235 )   PDF (6319KB) ( 37 )  
We studied mechanism of chiral enantiomer transition of phenylalanine (Phe) molecules and catalysis of water molecules (clusters) at the MP2/6-311++G(3-df,2pd-)/WB97X-D/6-311++-G(-d,p-) level, and the bonding characteristics of the stationary points were analyzed by the atomic theory in molecules (AIM). The results show that the chiral enantiomer transition of Phe molecule is realized through a series of transition states of carboxyl hydroxyl rotation, proton transfer, carboncarbon bond rotation and amino turnover. The protons are transferred with amino nitrogen as the bridge in channela, and in channel b with carbonyl oxygen and amino nitrogen as the bridge. When two water molecules clusters are used as proton transfer medium, the reaction path of photon tranfer only with carbonyl oxygen as the bridge is added in channel b. The channel a has the advantage, where the intrinsic energy barrier of the ratedetermining step is 25971 kJ/mol and the apparent energy barrier is 27026 kJ/mol. The intrinsic energy barrier of the ratedetermining step is reduced to 126.47 kJ/mol by the catalysis of two water clusters, and the apparent energy barrier is reduced to 80.80 kJ/mol. When zeropoint vibration energy is considered, the enery barrier of proton transfer from amino nitrogen to carbonyl oxygen disappears. The chiral enantiomeric transition of Phe molecules can be realized by the catalysis of water molecules (clusters).
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Chiral Separation of Enantiomer of 2-Oxabicyclo[3,3,0]oct-6-en-3-oneand Determination of Optical Purity#br#
CAO Hong, WANG Shuhong, ZHAO Chunying, HU Chuanmin, CAI Jianhui, XIU Zhiming
Journal of Jilin University Science Edition. 2019, 57 (06):  1530-1534. 
Abstract ( 223 )   PDF (415KB) ( 48 )  
The chiral silicon surface coated with cellulosethree (3,5dimethylphenyl carbamate) was used as stationary phase, the solvent of  V(nhexane)∶V(isopropyl alcohol)=95∶5 was used as mobilephase to  separate  2-oxabicyclo[3,3,0]oct-6-en-3-one. The flow rate  was 08 mL/min, the column temperature was 25 ℃, and detection wavelength was 205 nm. The results show that the resolution is 3.0, the enantiomer can be effectively separated, and the optical purity can be determined by area normalization method.
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Synthesis, Crystal Structure and Characterization of Rare EarthCoordination Compounds Based on Keggin\|Type Isopolytungstate#br#
ZHANG Zheyu
Journal of Jilin University Science Edition. 2019, 57 (06):  1535-1537. 
Abstract ( 192 )   PDF (991KB) ( 38 )  
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Preparation and Identification of Recombinant-Humanized AntiVEGF Monoclonal Antibody
DONG Xue, XU Yuxin, GUO Jing, GONG Zhongkuo, XIA Linya, YIN Yuhe gmei
Journal of Jilin University Science Edition. 2019, 57 (06):  1538-1543. 
Abstract ( 279 )   PDF (1689KB) ( 61 )  
DNA sequences of humanized antiVEGF antibody light and heavy chains were optimized to construct pcDNAVEGFH and pcDNAVEGFV expression vectors with signal peptidetide. HEK293 cells were transfected with pcDNAVEGFH and pcDNAVEGFV, then cocultured with C6 cells, and protein was isolated and purified. The experimental results show that the proliferation of C6 cells are significantly inhibited (P<0.01). HEK293F cells are transfected with pcDNAVEGFH and pcDNAVEGFV, expression of protein is detected in cell culture supernate after 24~144 h. The purified protein is identical with the standard product. The purified antibody protein can significantly inhibit the proliferation of C6 cells (P<0.05—0.01). The results are similar to those of standard products.
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Migration Characteristics of Heavy Metals in Interaction System of Soil-Groundwater
LV Da, WEI Yong, LIU Guijian
Journal of Jilin University Science Edition. 2019, 57 (06):  1544-1549. 
Abstract ( 362 )   PDF (1207KB) ( 140 )  
By using the sandbox experiment, we simulated migration characteristics of heavy metals in the interactive system of soil groundwater under the condition of horizontal flow of groundwater. The experimental results show that average mass ratio of four heavy metals in different depths is Cr>Ni>Co>Cu, and the vertical migration capacity is Cr>Ni≈Co>Cu. The average mass concentration of four heavy metals in the different depths of groundwater is Cu>Cr>Ni>Co, and that in the same depth of groundwater is Cu>Ni>Cr>Co. The migration capacity of four heavy metals in the interaction system of soilgroundwater is Cr≈Cu>Ni>Co along the flow direction and vertical direction. The maximum release amount of the pollution source is leached for 6 h, and then the mass concentration of heavy metal in groundwater reaches a maximum.
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