Study of baryon number transport dynamics and strangeness conservation effects using Ω-hadron correlations

In nuclear collisions at RHIC energies, an excess of Ω hyperons over ■ is observed, indicating that Ω has a net baryon number despite s and s quarks being produced in pairs. The baryon number in Ω may have been transported from the incident nuclei and/or produced in the baryon-pair production of Ω with other types of anti-hyperons such as Ξ. To investigate these two scenarios, we propose to measure the correlations between Ω and K and between Ω and anti-hyperons. We use two versions, the default and string-melting, of a multiphase transport(AMPT) model to illustrate the method for measuring the correlation and to demonstrate the general shape of the correlation. We present the Ω-hadron correlations from simulated Au+Au collisions at ■ =7.7 and 14.6 Ge V and discuss the dependence on the collision energy and on the hadronization scheme in these two AMPT versions. These correlations can be used to explore the mechanism of baryon number transport and the effects of baryon number and strangeness conservation on nuclear collisions.

Correlation Between Endogenous Hormones of Stem Apices and Fruit Locule Numbers in Tomatoes During Floral Bud Differentiation Stages

The study was designed to elucidate the changes in the endogenous hormones of stem apices in tomatoes and the function of correlative endogenous hormones in tomatoes during floral bud differentiation stages. The tomato parents were crossed and reverse crossed by using two inbred lines of multi-locule （MLK1） and few-locule （FL1） with significant difference, and the relationship between endogenous hormones GA3, IAA, and ABA levels and ovary locule numbers of parents and progeny during floral bud differentiation initial stage, floral bud differentiation stage, sepal petal formation stage, carpel formation initial stage, and ovary locule complete formation stage was studied. GA3 levels in P1, P2, F1, and RF1 were consistent with locule numbers, and IAA and ABA levels were reverse to ovary locule numbers during the key stage. The correlation showed that, during sepal petal formation stage, the ovary locule numbers were positively correlated with GA3, GA3/IAA, and GA3/ABA, and were negatively correlated with IAA and ABA. It was speculated that increasing GA3 levels or decreasing IAA and ABA levels of stem apices in tomato might be able to enhance ovary locule numbers. The sepal petal formation stage was an important stage which regulated endogenous hormones in the ovary locule formation.

Effects of the Reynolds number on a scale-similarity model of Lagrangian velocity correlations in isotropic turbulent flows

A scale-similarity model of a two-point two-time Lagrangian velocity correlation(LVC) was originally developed for the relative dispersion of tracer particles in isotropic turbulent flows(HE, G. W., JIN, G. D., and ZHAO, X. Scale-similarity model for Lagrangian velocity correlations in isotropic and stationary turbulence. Physical Review E, 80, 066313(2009)). The model can be expressed as a two-point Eulerian space correlation and the dispersion velocity V. The dispersion velocity denotes the rate at which one moving particle departs from another fixed particle. This paper numerically validates the robustness of the scale-similarity model at high Taylor micro-scale Reynolds numbers up to 373, which are much higher than the original values(R_λ = 66, 102). The effect of the Reynolds number on the dispersion velocity in the scale-similarity model is carefully investigated. The results show that the scale-similarity model is more accurate at higher Reynolds numbers because the two-point Lagrangian velocity correlations with different initial spatial separations collapse into a universal form compared with a combination of the initial separation and the temporal separation via the dispersion velocity.Moreover, the dispersion velocity V normalized by the Kolmogorov velocity V_η ≡ η/τ_η in which η and τ_η are the Kolmogorov space and time scales, respectively, scales with the Reynolds number R_λ as V/V_η ∝ R_λ^(1.39) obtained from the numerical data.

On Weighted Possibilistic Mean,Variance and Correlation of Interval-valued Fuzzy Numbers

In this paper, the concept of weighted possibilistic mean of interval- valued fuzzy number is first introduced. Further, the notions of weighted possibilistic variance, covariance and correlation of interval-valued fuzzy numbers are presented. Meantime, some important properties of them and relationships between them are studied.

Influence of correlation scale errors on aquifer hydraulic conductivity inversion precision

In order to investigate the influence of correlation scale error on the inversion precision of the hydraulic conductivity of the aquifer,the successive linear estimator(SLE)was used to invert the hydraulic conductivity field of a heterogeneous aquifer based on synthetic experiments.By increasing the numbers of observation wells and pumping tests,we analyzed the difference between the estimated and true values of hydraulic conductivity with different correlation scale errors.The relationships between the observation well number and the error in inversion results,and between the pumping test number and the error in inversion results were investigated.The results show that,if the amount of observed head data is insufficient,there will be errors in inversion results with changing correlation scale.Due to the existence of correlation scale error,the improvement of inversion precision gradually slows down with the increase of the amount of observed head data,which indicates that too much observed head data causes data redundancy.Therefore,for the synthetic experiments described in this paper,the observation well number should be less than 41,the pumping test number should be less than 17,and a more suitable method should be selected according to the precision requirements of specific situations in practical engineering.

THE CONSTRUCTIONS OF ALMOST BINARY SEQUENCE PAIRS WITH THREE-LEVEL CORRELATION BASED ON CYCLOTOMY

In this paper,a new class of almost binary sequence pair with a single zero element is presented.The almost binary sequence pairs with three-level correlation are constructed based on cyclotomic numbers of order 2,4,and 6.Most of them have good correlation and balance property,whose maximum nontrivial correlation magnitudes are 2 and the difference between the numbers of occurrence of +1's and-1's are 0 or 1.In addition,the corresponding binary sequence pairs are investigated as well and we can also get some kinds of binary sequence pairs with optimum balance and good correlation.

Does Success Breed Success?A Study on the Correlation between Impact Factor and Quantity in Chinese Academic Journals

Purpose:This paper studies the relationship between the impact factor(IF)and the number of journal papers in Chinese publishing system.Design/methodology/approach:The method proposed by Huang(2016)is used whereas to analysis the data of Chinese journals in this study.Findings:Based on the analysis,we find the following.(1)The average impact factor(AIF)of journals in all disciplines maintained a growth trend from 2007 to 2017.Whether before or after removing outlier journals that may garner publication fees,the IF and its growth rate for most social sciences disciplines are larger than those of most natural sciences disciplines,and the number of journal papers on social sciences disciplines decreased while that of natural sciences disciplines increased from 2007 to 2017.(2)The removal of outlier journals has a greater impact on the relationship between the IF and the number of journal papers in some disciplines such as Geosciences because there may be journals that publish many papers to garner publication fees.(3)The success-breeds-success(SBS)principle is applicable in Chinese journals on natural sciences disciplines but not in Chinese journals on social sciences disciplines,and the relationship is the reverse of the SBS principle in Economics and Education&Educational Research.(4)Based on interviews and surveys,the difference in the relationship between the IF and the number of journal papers for Chinese natural sciences disciplines and Chinese social sciences disciplines may be due to the influence of the international publishing system.Chinese natural sciences journals are losing their academic power while Chinese social sciences journals that are less influenced by the international publishing system are in fierce competition.Research limitation:More implications could be found if long-term tracking and comparing the international publishing system with Chinese publishing system are taken.Practical implications:It is suggested that researchers from different countries study natural science and social sciences journals in their languages and observe the influence of the international publishing system.Originality/value:This paper presents an overview of the relationship between IF and the number of journal papers in Chinese publishing system from 2007 to 2017,provides insights into the relationship in different disciplines in Chinese publishing system,and points out the similarities and differences between Chinese publishing system and international publishing system.

Weighted Parameterized Correlation Coefficients of Indeterminacy Fuzzy Multisets and Their Multicriteria Group Decision Making Method with Different Decision Risks

Real-life data introduce noise,uncertainty,and imprecision to statistical projects;it is advantageous to consider strategies to overcome these information expressions and processing problems.Neutrosophic(indeterminate)numbers can flexibly and conveniently represent the hybrid information of the partial determinacy and partial indeterminacy in an indeterminate setting,while a fuzzy multiset is a vital mathematical tool in the expression and processing of multi-valued fuzzy information with different and/or same fuzzy values.If neutrosophic numbers are introduced into fuzzy sequences in a fuzzy multiset,the introduced neutrosophic number sequences can be constructed as the neutrosophic number multiset or indeterminate fuzzy multiset.Motivated based on the idea,this study first proposes an indeterminate fuzzy multiset,where each element in a universe set can be repeated more than once with the different and/or identical indeterminate membership values.Then,we propose the parameterized correlation coefficients of indeterminate fuzzy multisets based on the de-neutrosophication of transforming indeterminate fuzzy multisets into the parameterized fuzzy multisets by a parameter(the parameterized de-neutrosophication method).Since indeterminate decision-making issues need to be handled by an indeterminate decision-making method,a group decision-making method using the weighted parameterized correlation coefficients of indeterminate fuzzy multisets is developed along with decision makers’different decision risks(small,moderate,and large risks)so as to handle multicriteria group decision-making problems in indeterminate fuzzy multiset setting.Finally,the developed group decision-making approach is used in an example on a selection problem of slope design schemes for an open-pit mine to demonstrate its usability and flexibility in the indeterminate group decision-making problem with indeterminate fuzzy multisets.

Correlation between Chaotic Dynamics and Level Spacings： the Lyapunov and Dixon Dip Approaches to Highly Excited Vibration of Deuterium Cyanide

Chaotic dynamics of highly excited vibration of deuterium cyanide is explored by two independent approaches： （1） the Lyapunov analysis, based on the classical phase space for the levels, and （2） the Dixon dip analysis based on the concepts of pendulum dynamics and quantized levels. The results show that there is evident correlation between these two algorithms. We also propose that the reciprocal of energy difference between two nearby Dixon dips can be taken as a qualitative measure for the degree of dynamical chaos.

A generalized set of correlations for plus fraction characterization

The importance of accurate determination of the critical properties of plus fractions in prediction of phase behaviour of hydrocarbon mixtures by equations of state is well known in the petroleum industry. It has been stated in various papers （Elsharkawy, 2001） that using the plus fraction as a single group in equation of state calculations reduces the accuracy of the results. However in this work it has been shown that using the proper values of critical temperature and pressure for the plus fraction group can estimate the properties of hydrocarbon mixtures, and they are accurate enough to be used in reservoir engineering and enhanced oil recovery calculations. In this paper, a new method is proposed for calculating the critical properties of plus fractions of petroleum fluids. One can use this method either in predicting critical pressure and temperature of single carbon numbers （SCNs） after the splitting process or in predicting critical pressure and temperature of the plus fraction as a single group. A comparison study is performed against Riazi-Daubert correlation （Riazi and Daubert, 1987） and Sancet correlations （Sancet, 2007） for 25 oil samples taken from 14 fields from southwest Iran. The results indicate the superiority of the proposed method to the Riazi-Daubert and Sancet correlations.

GPR信号去噪的变分模态分解

为了进一步提高探地雷达(ground penetrating radar,GPR)数据的信噪比,压制由随机扰动引起的随机绕射能量,将二维变分模态分解(two-dimensional variational mode decomposition,2D-VMD)引入二维GPR数据的噪声压制处理中。首先,对GPR数据进行2D-VMD处理,并分析各阶本征模态函数(intrinsic mode function,IMF)分量及其对应的频率-波数域谱来确定雷达剖面中的各回波类型。然后,计算IMF分量与原始数据的互相关系数来确定信号模态和噪声模态,并对信号模态进行重构得到降噪后的数据。理论数据和实测数据测试表明,相比于传统的1D-VMD法,2D-VMD滤波后的含噪正演记录峰值信噪比由6.44 dB增加到7.72 dB;经2D-VMD降噪处理后的雷达剖面在保留有效信号的基础上,可以有效压制随机扰动带来的噪声,并且得到的雷达剖面同相轴连续性更好。

融合卡尔曼预测的改进KCF目标跟踪方法

针对核相关滤波器(KCF)跟踪算法在遮挡环境中存在跟踪漂移及跟踪失败的问题,提出融合卡尔曼预测的改进KCF跟踪方法。采用灰度图像和方向梯度直方图(HOG)特征融合用于检测目标位置;利用平均峰值相关能量(APCE)进行目标遮挡判断并在KCF算法上改进:若发生遮挡情况,则用卡尔曼滤波算法预测下一时刻的目标位置,并代替原KCF算法中的目标,防止跟踪漂移;若无遮挡出现,则用KCF算法继续跟踪,从而实现遮挡环境下目标的有效跟踪。采用OTB100数据集对视频长时间和遮挡序列进行跟踪实验。结果表明:论文算法与KCF算法对比,在遮挡情况下目标跟踪精度和成功率分别提升11.9%和13.4%,说明论文提出算法的成功率和跟踪精度均显著提高。

估计混响室旋转搅拌器相关角度的快速方法

为保证混响室中样本的统计独立性,混响室内搅拌器的相关角度给出了测试过程中搅拌器步进角度的下界。依照IEC 61000-4-21:2011确定搅拌器相关角度时,由于每次转动角度较小,完整旋转一周所需时间较长。为缩短测试时间,提高测试效率,提出一种快速评估相关角度的方法,即使搅拌器不完成整周旋转,相关角度也可以准确估计,从而大幅度减少测试时间。测试结果对不同旋转角度进行了比较,与完整旋转一周的结果吻合良好,证实了文章方法的有效性。

基于动态三角模糊数与改进TOPSIS法的居住建筑设计方案评价决策

针对居住建筑设计方案的多属性决策问题,本文建立了包括建筑性能、适用因素、场地条件、环境协调和经济合理等5方面因素的居住建筑设计方案综合评价决策指标体系。为便于专家对评价指标属性进行评价和真实地表达专家评价信息,采用动态三角模糊数对指标属性等级进行赋值与量化。其次,考虑专家知识经验主观和熵值法客观的指标赋权不同影响,采用组合权重使指标赋权更加科学,构建区间值欧氏距离和区间值灰色关联度的改进TOPSIS(technique for order preference by similarity to an ideal solution)法的居住建筑设计方案综合评价决策模型,解决了指标间重要性差异与指标间相关性的问题。最后,将综合评价决策模型对4个居住建筑设计方案的优劣进行排序,与基于满意度的建筑方案实证评价结果一致。研究结果表明:该综合评价决策模型能够合理选择最优方案,为定量研究居住建筑设计方案综合评价决策提供了新的思路。

基于改进相关系数和IGOWLA算子的三角模糊数组合预测模型

随着经济系统复杂程度日益提高,用三角模糊数能更好地反映不确定信息.为保证预测结果的内部整体性,提出将三角模糊数序列的3个界点值转化为等价信息的面积中心、中界值、重心并构建新的序列.随后以预测精度为诱导因子,构建诱导广义有序加权对数平均(IGOWLA)算子,在此基础上选取改进后的Pearson相关系数作为最优准则,构建多目标组合预测模型,并引入偏好系数将模型进一步转化为单目标规划模型,通过实例分析证明了组合预测模型的有效性.结果表明:该组合预测模型可以在保证内部整体性的基础上有效地提高预测精度.

模糊信息协同相关IOWGA算子区间组合预测模型

三角模糊数是复杂和不确定性预测系统的重要信息表达形式。引入刻画三角模糊数特征的3个指标,包括面积型中心、面积型散度和中界点。这些指标分别反映三角模糊数的精度、模糊程度和中点特征。在此基础上,提出了一种新的协同相关系数的概念,结合诱导有序加权几何平均算子(IOWGA),以三角模糊数左右区间的协同相关系数作为最优准则,建立了基于三角模糊数和协同相关系数的IOWGA算子区间组合预测模型。通过实例分析,证明了该模型的有效性和稳定性。

基于波束指向修正的提升相控阵导引头目标截获概率方法

相控阵雷达导引头在搜索阶段不论采用哪种扫描方法,均存在波束偏置测角的情况,而基于雷达测角的基本原理:波束偏置时测角误差较大,导致截获波束指向偏差较大,有一定概率导致目标截获失败。针对此问题本文提出一种可以有效提高相控阵导引头截获概率的波束指向修正方法。通过数字仿真分析得出利用修正后的波束指向完成目标截获可以有效提升导引头的角度截获概率。

关于两个两点Witten-Kontsevich关联子公式等价的一个注记

We prove the equivalence between two explicit expressions for two-point Witten-Kontsevich correlators obtained by Bertola-Dubrovin-Yang and by Zograf, respectively.

Analysis of the Employment Situation of Non Private Enterprises in Various Regions of China

In the past 30 years, Chinese enterprises have been a hot topic of discussion and concern among the general public in terms of economic and social status, ownership structure, business mechanism, and management level. Solving the problem of employment for the people is an important prerequisite for their peaceful living and work, as well as a prerequisite and foundation for building a harmonious society. The employment situation of private enterprises has always been of great concern to the outside world, and these two major jobs have always occupied an important position in the employment field of China that cannot be ignored. With the establishment of the market economy system, individual and private enterprises have become important components of the socialist economy, making significant contributions to economic development and social progress. The rapid development of China’s economy, on the one hand, is the embodiment of the superiority of China’s socialist market economic system, and on the other hand, it is the role of the tertiary industry and private enterprises in promoting the national economy. Since the 1990s, China’s private enterprises have become a new economic growth point for local and even national countries, and are one of the important ways to arrange employment and achieve social stability. This paper studies the employment of private enterprises and individuals from the perspective of statistics, extracts relevant data from China statistical Yearbook, uses the relevant knowledge of statistics to process the data, obtains the conclusion and puts forward relevant constructive suggestions.

基于演化四元减法集对势模糊数随机模拟的旱灾风险评估

为有效评估旱灾风险,将五元联系数中的不确定性差异度项分解到偏同差异度项和偏反差异度项上,得到演化四元减法集对势,并对其中的差异度系数进行三角模糊数随机模拟,建立基于演化四元减法集对势模糊数随机模拟的旱灾风险评估模型,并应用于淮南市旱灾风险评估。结果表明:淮南市2008—2017年旱灾风险等级整体处于2~3级,属于弱中险状态,但在2014年后等级呈小幅上升趋势;在旱灾风险评估子系统中,危险性子系统、暴露性子系统和灾损敏感性子系统风险等级均逐渐降低,有向好的发展趋势,而抗旱能力子系统等级逐渐增高;单位面积水资源量、灌溉指数、复种指数、水田面积比和森林覆盖率被识别为主要障碍因子。基于演化四元减法集对势模糊数随机模拟的旱灾风险评估方法包含了五元减法集对势的计算结果,且其计算结果是一个等级置信区间,可综合反映旱灾风险变化的多因素影响、不确定性等特点。