Quantitative determination of the critical points of Mott metal–insulator transition in strongly correlated systems

Mottness is at the heart of the essential physics in a strongly correlated system as many novel quantum phenomena occur in the metallic phase near the Mott metal–insulator transition. We investigate the Mott transition in a Hubbard model by using the dynamical mean-field theory and introduce the local quantum state fidelity to depict the Mott metal–insulator transition. The local quantum state fidelity provides a convenient approach to determining the critical point of the Mott transition. Additionally, it presents a consistent description of the two distinct forms of the Mott transition points.

New sigma point filtering algorithms for nonlinear stochastic systems with correlated noises

New sigma point filtering algorithms, including the unscented Kalman filter （UKF） and the divided difference filter （DDF）, are designed to solve the nonlinear filtering problem under the condition of correlated noises. Based on the minimum mean square error estimation theory, the nonlinear optimal predictive and correction recursive formulas under the hypothesis that the input noise is correlated with the measurement noise are derived and can be described in a unified framework. Then, UKF and DDF with correlated noises are proposed on the basis of approximation of the posterior mean and covariance in the unified framework by using unscented transformation and second order Stirling＇s interpolation. The proposed UKF and DDF with correlated noises break through the limitation that input noise and measurement noise must be assumed to be uneorrelated in standard UKF and DDF. Two simulation examples show the effectiveness and feasibility of new algorithms for dealing with nonlinear filtering issue with correlated noises.

Cross-Correlation Detection of Point Sources in the WMAP First Year Data

We apply a Cross-Correlation （CC） method developed previously for detecting gamma-ray point sources to the WMAP first year data by using the Point-Spread Function of WMAP and obtain a full sky CC coefficient map. We find that the CC method is a powerful tool to examine the WMAP foreground residuals which can be further cleaned accord- ingly. Evident foreground signals are found in the WMAP foreground cleaned maps and the Tegmark cleaned map. In this process 101 point sources are detected, and 26 of them are new sources additional to the originally listed WMAP 208 sources. We estimate the flux of these new sources and verify them by another method. As a result, a revised mask file based on the WMAP first year data is produced by including these new sources.

Search for the QCD critical point with fluctuations of conserved quantities in relativistic heavy-ion collisions at RHIC： an overview

Fluctuations of conserved quantities, such as baryon, electric charge, and strangeness number, are sensitive observables in relativistic heavy-ion collisions to probe the QCD phase transition and search for the QCD critical point. In this paper, we review the experimental measurements of the cumulants(up to fourth order) of event-byevent net-proton(proxy for net-baryon), net-charge and netkaon(proxy for net-strangeness) multiplicity distributions Au+Au collisions at sNN^(1/2) 7:7; 11:5; 14:5; 19:6; 27;39; 62:4; 200 Ge V from the first phase of beam energy scan program at the relativistic heavy-ion collider(RHIC). We also summarize the data analysis methods of suppressing the volume fluctuations, auto-correlations, and the unified description of efficiency correction and error estimation.Based on theoretical and model calculations, we will discuss the characteristic signatures of critical point as well as backgrounds for the fluctuation observables in heavy-ion collisions. The physics implications and the future secondphase of the beam energy scan(2019–2020) at RHIC will also be discussed.

A Fast Aerial Image Matching Method Using Airborne LiDAR Point Cloud and POS Data

A novel tie point matching algorithm of aerial images with the assistance of airborne LiDAR point clouds and POS data is proposed Firstly,the conjugate point searching strategy used in traditional correlation coefficient matching is improved and a fast algorithm is presented.Secondly,an automatic camera boresight misalignment calibration method based on virtual ground control points is proposed,and then the searching range of image matching is adaptively determined and applied to the image matching of the entire surveying area.Test results verified that the fast correlation coefficient matching algorithm proposed in this paper can reduce approximately 25% of the matching time without the loss of matching accuracy.The camera boresight misalignment calibration method can effectively increase the accuracy of exterior orientation elements of images calculated from POS data,and thus can significantly improve the predicted position of conjugate point for tie point matching.Our proposed image matching algorithm can achieve superior matching accuracy with multi-scale,multi-view,and cross-flight aerial images.

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.

GRADIENT OF REFERENCE DIFFERENCE BASED MATCHING ALGORITHM FOR IMAGE FEATURE POINT

During matching on feature point, gray correlation matching technology is utilized to extract multi-peaks as a coarse matching set. A pair of given corresponding reference points within the left and right images is used to calculate gradients of reference difference between the reference points and each feature point within the multi-peaks set. The unique correspondence is determined by criterion of minimal gradients of reference difference. The obtained correspondence is taken as a new pair of reference points to update the reference points continuously until all feature points in the left (or right) image being matched with the right (or left) image. The gradients of reference difference can be calculated easily by means of pre-setting a pair of obvious feature points in the left and right images as a pair of corresponding reference points. Besides, the efficiency of matching can be improved greatly by taking the obtained matching point as a new pair of reference points, and by updating the reference point continuously. It is proved that the proposed algorithm is valid and reliable by 3D reconstruction on two pairs of actual natural images with abundant and weak texture, respectively.

Optimal Bounds for the Largest Eigenvalue of a 3 ×3 Correlation Matrix

A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more stringent than the optimal bounds by Wolkowicz and Styan in specific cases.

The combined FSS-SPRT method for detection and tracking of low SNR point targets

For the detection and tracking of dim point targets with SNR 〈 2 dB, the combined SPRT and FSS method is given to accomplish detection in whicb likelihood testing are carried out twice to prune constantly. Firstly, the SPRT is developed aiming at the heuristic segments formed by correlation analysis. In order to avoid missing detection the threshold is chosen much lower. Secondly, by adding samples and choosing the one most similar to the heuristic segment to make state estimation FSS is implemented. This time we choose a higher threshold. Moreover in preprocessing the compound kernel estimation is designed to depress varying background clutter. Multiple experimental sequences validate that the method is more suitable for the dim targets detection and tracking compared with the scheme choosing the higher intensity pixel in tracking. It not only has perfect detection performance but also can greatly enhance tracking performance.

Two-Point Statistics of Coherent Structure in Turbulent Flow

This review summarizes the coherent structures (CS) based on two-point correlations and their applications, with a focus on the interpretation of statistic CS and their characteristics. We review studies on this topic, which have attracted attention in recent years, highlighting improvements, expansions, and promising future directions for two-point statistics of CS in turbulent flow. The CS is one of typical structures of turbulent flow, transporting energy from large-scale to small-scale structures. To investigate the CS in turbulent flow, a large amount of two-point correlation techniques for CS identification and visualization have been, and are currently being, intensively studied by researchers. Two-point correlations with examples and comparisons between different methods are briefly reviewed at first. Some of the uses of correlations in both Eulerian and Lagrangian frames of reference to obtain their properties at consecutive spatial locations and time events are surveyed. Two-point correlations, involving space-time correlations, two-point spatial correlations, and cross correlations, as essential to theories and models of turbulence and for the analyses of experimental and numerical turbulence data are then discussed. The velocity-vorticity correlation structure (VVCS) as one of the statistical CS based on two-point correlations is reiterated in detail. Finally, we summarize the current understanding of two-point correlations of turbulence and conclude with future issues for this field.

THEORETICAL ANALYSIS ON THE AUTOPLOIDY BETWEEN THE TWELVE YUAN (SOURCE) POINTS AND THEIR CORRESPONDING ZANGFU-ORGANS

In the present paper, the authors make a theoretical analysis on the autoploidy between the twelve Yuan （source） points and their corresponding Zangfu-organs from 1 ） historical development, 2） correlation, 3） clinical application, 4） experimental research results about the relationship between Yuan points and the Zangfu-organs, and between meridians and Zangfu-organs, and 5） literature description. The twelve Yuan points have an important role in clinical diagnosis and treatment of diseases, and a close association with the Zangfu-organs.

基于数字图像相关的地聚物混凝土轨枕的力学性能分析

随着混凝土轨枕在我国的广泛应用,混凝土的生产带来大量的能源消耗和碳排放。地聚物作为一种新型低碳材料,能在节能减碳的同时消耗矿渣和粉煤灰等固废。目前,针对地聚物应用于铁路轨枕的相关研究,如混合使用水泥与粉煤灰、矿渣的地聚物混凝土轨枕及其裂缝扩展特性的研究还比较有限。本文设计2种配合比的地聚物混凝土并制造成轨枕,使用数字图像相关(Digital Image Correlation)技术,在轨下截面的三点弯曲实验下分析2种配合比下轨枕挠度、裂缝扩展特性及裂缝宽度发展规律。研究结果表明,2种配合比地聚物混凝土轨枕的抗弯承载力均高于普通混凝土轨枕。相比于普通混凝土轨枕,地聚物混凝土轨枕在较低的静荷载作用下挠度较大,但随着荷载的增加轨枕挠度的增长速度较慢,刚度损失较小,弹性阶段延续的荷载区间更长,这种特征在配合比为Geo50的地聚物混凝土轨枕上更为显著。2种配合比的轨枕微裂纹萌生的荷载相近,分别为130 kN和120 kN。在较低荷载下2种轨枕裂缝扩展相差不大,在较高荷载下配合比为Geo100的地聚物轨枕的裂缝发展加快,裂缝宽度值和增长速度都大于Geo50。配合比为Geo100的地聚物混凝土轨枕主要表现为受弯正截面破坏,配合比为Geo50的地聚物混凝土轨枕主要表现为受剪斜拉破坏。掺入部分水泥代替矿渣和粉煤灰的地聚物能使所制成轨枕在较高的荷载下保持更高刚度和更缓慢的裂缝扩展速度,该方案有助于推动地聚物应用于混凝土轨枕,促进铁路双碳战略贯彻与实施。

Spin Supercurrent in Phenomena of Quantum Non-Locality (Quantum Correlations, Magnetic Vector Potential) and in Near-Field Antenna Effect

It is shown that such phenomena as quantum correlations (interaction of space-separated quantum entities), the action of magnetic vector potential on quantum entities in the absence of magnetic field, and near-field antenna effect (the existence of superluminally propagating electromagnetic fields) may be explained by action of spin supercurrents. In case of quantum correlations between quantum entities, spin supercurrent emerges between virtual particles pairs (virtual photons) created by those quantum entities. The explanation of magnetic vector potential and near-field antenna effect is based on contemporary principle of quantum mechanics: the physical vacuum is not an empty space but the ground state of the field consisting of quantum harmonic oscillators (QHOs) characterized by zero-point energy. Using the properties of the oscillators and spin supercurrent, it is proved that magnetic vector potential is proportional to the moment causing the orientation of spin of QHO along the direction of magnetic field. The near-field antenna effect is supposed to take place as a result of action of spin supercurrent causing secondary electromagnetic oscillations. In this way, the electromagnetic field may spread at the speed of spin supercurrent. As spin supercurrent is an inertia free process, its speed may be greater than that of light, which does not contradict postulates of special relativity that sets limits to the speed of inertial systems only.

Growing correlation length of moderate-sized earthquakes prior to two great earthquakes near Sumatra Island

Seismic correlation length for moderate earthquakes prior to two great earthquakes in the northern sea area of Sumatra Island （Mw9.1 in 2004 and MsS. 6 in 2012） has been studied, using method of Single- Link-Cluster （ SLC ） analysis, and found to show a power-law growth about two years before their occurrences. No such growth was found for a magnitude 7 earthquake in the same area. This result suggests the occurrence of a physical process of critical-point characteristics in the source area before the great earthquakes.

薄壁型钢UHPC组合箱梁受弯性能试验研究

提出一种新型薄壁型钢UHPC组合箱梁,开展了6根薄壁型钢UHPC组合箱梁与1根薄壁型钢箱梁对比梁的四点弯曲静载试验,利用三维数字图像相关测量技术对箱梁的应力-应变与变形及裂缝性能进行测试分析。研究结果表明:外包UHPC能使薄壁型钢箱梁的破坏形态由局部压屈破坏转变为底部薄壁型钢下翼缘及纵筋先后达到屈服后顶部UHPC压碎的正截面受弯破坏;外包50 mm厚UHPC的未配纵筋与箍筋的组合箱梁试件XL2的正截面受弯承载力比薄壁型钢箱梁试件XL1的对应值提升77.5%;薄壁型钢表面焊接了纵筋与箍筋的组合箱梁试件XL3~XL7的整体协同工作性能得到了大幅度提升,其中,XL4试件的正截面受弯承载力比未配纵筋与箍筋的XL2试件的对应值提升了178.8%;增大薄壁型钢壁厚与外包UHPC层厚度也能在一定程度上提高薄壁型钢UHPC组合箱梁的正截面受弯承载力与抗裂能力。

通元针法的理论基础与临床应用概况

通元针法涵盖了调和阴阳、固本安神、形气辨证的独特诊疗思维,屡起沉疴。该文作者赖新生教授自创立通元针法以来,成体系地应用该法于治疗神经内分泌免疫网络相关疑难疾病,包括脑病、不孕不育、变态反应性疾病等,屡收奇效,经济和社会效益显著。作者基于系列基础研究成果,提出“经穴-脑相关”理论,实现了从基础研究到临床实践的转换。该文系统阐述了通元针法的理论基础和该法在上述三大系统疾病中的临床应用,可为针灸现代化提供一种新的范式。

基于自适应时序表征和多级注意力的超短期风电功率预测

针对风电功率数据包含的多尺度时间信息难以描述、现有方法未充分考虑气象因素对于风电功率动态耦合的影响而导致的预测性能下降等问题,提出了一种基于自适应时序表征和多级注意力的超短期风电功率预测方法。采用时序嵌入层对风电功率序列进行表征以获取其周期、非周期模式,并引入自注意力捕捉高维风电功率序列的自相关性;利用交叉注意力重构风电功率与气象因素,形成包含两者耦合关系的多维特征序列;利用一维卷积神经网络沿时间、特征方向分别挖掘多维特征序列的时间相关性和空间相关性,进而利用长短期记忆网络提取相应的时序特征,并将所得时序特征经全局注意力去噪和门控机制融合后输入全连接层,分别进行点预测和区间预测。实验结果表明,所提方法能够获得准确的点预测值和可靠的预测区间。

点探测器敏感性关联抽样计算方法

为避免点探测器敏感性计算中随机统计涨落的影响,研究了在蒙特卡罗关联抽样算法框架下,点探测器敏感性的计算方法。在算法中考虑了输运过程偏倚以及存在次级粒子的情况,给出了输运扰动权乘子与计数扰动权乘子的更新方案。针对点探测器敏感性中次级粒子的模拟特点,引入了单因素扰动系统,并基于粒子扩展属性实现了对单因素扰动系统微扰的模拟,从而避免了对次级粒子历史进行回溯。利用脉冲球形实验装置,测试了散射截面扰动下点探测器的敏感性计算功能,并与微分算符方法的计算结果进行了比较,以验证其计算精度。利用NUREG/CR-6115屏蔽基准题测试了权重技巧下算法的适用性。测试表明,算法与微分算符方法计算精度相当,并适用于屏蔽问题点探测器敏感性模拟。

基于InVEST模型的河南省农田氮素面源污染时空模拟

【目的】进行农田氮素面源污染模拟,分析其时空分布特征及影响因素,实现高效治理面源污染和农业生态保护。【方法】综合农业分区、地形、种植模式、熟制、土地覆被等因素,划分河南省土地利用类型单元,基于InVEST模型对2000、2010和2020年河南省农田氮素面源污染状况进行时空模拟,并对输出负荷和影响因素进行分析。【结果】河南省大部分地市的氮素输出负荷总量及氮素排放强度与总体变化趋势相同,都呈现“先增后减”的趋势。各地市间差异明显,高氮素排放强度地区为南阳、信阳和驻马店市。氮素输出强度与地均施氮肥量、数字地理高程模型(digital elevation model,DEM)、降雨量、农田比例和坡度5个因素间均存在显著相关关系。偏相关分析表明,氮素输出强度与地均施氮肥量和降雨量密切相关。氮素排放强度分级结果表明,南阳、信阳和驻马店市存在一定范围的中高强度的排放区。【结论】揭示了河南省农田面源污染高排放强度区及其重要影响因素,从而促进相关氮素面源污染防控和精确治理。

酱香型白酒下沙到四轮次酒醅堆积终点特征研究

为探究酱香型白酒酒醅不同阶段堆积终点的特征,对贵州省某酒庄的53口窖池从下沙到四轮次酒醅进行理化及微生物指标的检测,并分析各轮次酒醅堆积终点时各指标对基酒产量与基酒品质的相关性。研究表明,随着轮次的增加,酒醅的温度、酸度、水分、发酵力呈明显的上升趋势;淀粉含量呈显著下降趋势(P<0.05);L-乳酸和葡萄糖含量整体呈上升趋势;乙醇含量、拜尔接合酵母(Zygosaccharomyces bailii)数量、酵母菌活菌率表现为前期快速上升,二轮次后趋于水平的状态。糖化力呈现先降低后水平波动的趋势;酿酒酵母和酵母总数总体变化不大。相关性分析结果表明,与基酒产量、基酒品质显著相关的指标有10个(P<0.05),分别是为水分、乙醇、拜尔接合酵母、乳酸、酿酒酵母、酸度、淀粉、葡萄糖、温度、发酵力。其中,水分、乙醇含量、葡萄糖含量对基酒的影响最大,且水分、乙醇含量对基酒的影响主要是正相关,葡萄糖含量对基酒的影响主要是负相关。