Detrital zircon geochronology of the Lutzow-Holm Complex,East Antarctica:Implications for Antarctica-Sri Lanka correlation

The Lützow-Holm Complex(LHC) of East Antarctica has been regarded as a collage of Neoarchean(ca.2.5 Ga), Paleoproterozoic(ca. 1.8 Ga), and Neoproterozoic(ca. 1.0 Ga) magmatic arcs which were amalgamated through the latest Neoproterozoic collisional events during the assembly of Gondwana supercontinent. Here, we report new geochronological data on detrital zircons in metasediments associated with the magmatic rocks from the LHC, and compare the age spectra with those in the adjacent terranes for evaluating the tectonic correlation of East Antarctica and Sri Lanka. Cores of detrital zircon grains with high Th/U ratio in eight metasediment samples can be subdivided into two dominant groups:(1) late Meso-to Neoproterozoic(1.1-0.63 Ga) zircons from the northeastern part of the LHC in Prince Olav Coast and northern Soya Coast areas, and(2) dominantly Neoarchean to Paleoproterozoic(2.8-2.4 Ga) zircons from the southwestern part of the LHC in southern Lutzow-Holm Bay area. The ca.1.0 Ga and ca. 2.5 Ga magmatic suites in the LHC could be proximal provenances of the detrital zircons in the northeastern and southwestern LHC, respectively. Subordinate middle to late Mesoproterozoic(1.3-1.2 Ga) detrital zircons obtained from Akarui Point and Langhovde could have been derived from adjacent Gondwana fragments(e.g., Rayner Complex, Eastern Ghats Belt). Meso-to Neoproterozoic domains such as Vijayan and Wanni Complexes of Sri Lanka, the southern Madurai Block of southern India, and the central-western Madagascar could be alternative distal sources of the late Meso-to Neoproterozoic zircons. Paleo-to Mesoarchean domains in India, Africa, and Antarctica might also be distal sources for the minor ~2.8 Ga detrital zircons from Skallevikshalsen. The detrital zircons from the Highland Complex of Sri Lanka show similar Neoarchean to Paleoproterozoic(ca. 2.5 Ga) and Neoproterozoic(ca. 1.0 Ga) ages, which are comparable with those of the LHC, suggesting that the two complexes might have formed under similar tectonic regimes. We consider that the Highland Complex and metasedimentary unit of the LHC formed a unified latest Neoproterozoic suture zone with a large block of northern LH-Vijayan Complex caught up as remnant of the ca. 1.0 Ga magmatic arc.

Detrended Fluctuation Analysis on Correlations of Complex Networks Under Attack and Repair Strategy

We analyze the correlation properties of the Erd6s-Rdnyi random graph （RG） and the Barabdsi-Albert scale-free network （SF） under the attack and repair strategy with detrended fluctuation analysis （DFA）. The maximum degree kmax, representing the local property of the system, shows similar scaling behaviors for random graphs and scale-free networks. The fluctuations are quite random at short time scales but display strong anticorrelation at longer time scales under the same system size N and different repair probability pre. The average degree 〈k〉, revealing the statistical property of the system, exhibits completely different scaling behaviors for random graphs and scale-free networks. Random graphs display long-range power-law correlations. Scale-free networks are uncorrelated at short time scales; while anticorrelated at longer time scales and the anticorrelation becoming stronger with the increase of pre.

Correlation between detrended fluctuation analysis and the Lempel-Ziv complexity in nonlinear time series analysis

We study the correlation between detrended fluctuation analysis（DFA） and the Lempel-Ziv complexity（LZC） in nonlinear time series analysis in this paper.Typical dynamic systems including a logistic map and a Duffing model are investigated.Moreover,the influence of Gaussian random noise on both the DFA and LZC are analyzed.The results show a high correlation between the DFA and LZC,which can quantify the non-stationarity and the nonlinearity of the time series,respectively.With the enhancement of the random component,the exponent α and the normalized complexity index C show increasing trends.In addition,C is found to be more sensitive to the fluctuation in the nonlinear time series than α.Finally,the correlation between the DFA and LZC is applied to the extraction of vibration signals for a reciprocating compressor gas valve,and an effective fault diagnosis result is obtained.

A complexity measure approach based on forbidden patterns and correlation degree

Based on forbidden patterns in symbolic dynamics, symbolic subsequences are classified and relations between forbidden patterns, correlation dimensions and complexity measures are studied. A complexity measure approach is proposed in order to separate deterministic （usually chaotic） series from random ones and measure the complexities of different dynamic systems. The complexity is related to the correlation dimensions, and the algorithm is simple and suitable for time series with noise. In the paper, the complexity measure method is used to study dynamic systems of the Logistic map and the Henon map with multi-parameters.

The effects of degree correlations on network topologies and robustness

Complex networks have been applied to model numerous interactive nonlinear systems in the real world. Knowledge about network topology is crucial to an understanding of the function, performance and evolution of complex systems. In the last few years, many network metrics and models have been proposed to investigate the network topology, dynamics and evolution. Since these network metrics and models are derived from a wide range of studies, a systematic study is required to investigate the correlations among them. The present paper explores the effect of degree correlation on the other network metrics through studying an ensemble of graphs where the degree sequence （set of degrees） is fixed. We show that to some extent, the characteristic path length, clustering coefficient, modular extent and robustness of networks are directly influenced by the degree correlation.

MODIFIED CLT-DOMAIN MOTION ESTIMATION BASED ON PHASE CORRELATION

In this paper, a Modified Complex Lapped Transform domain Motion Estimation (MCLT-ME) method to estimate the motion of video sequence is proposed. The proposed method is based on phase correlation of current window region and corresponding window region, and provides a significant improvement in motion estimation.

Theoretical analyses of stock correlations affected by subprime crisis and total assets: Network properties and corresponding physical mechanisms

In the field of statistical mechanics and system science, it is acknowledged that the financial crisis has a profound influence on stock market. However, the influence of total asset of enterprise on stock quote was not considered in the previous studies. In this work, a modified cross-correlation matrix that focuses on the influence of total asset on stock quote is introduced into the analysis of the stocks collected from Asian and American stock markets, which is different from the previous studies. The key results are obtained as follows. Firstly, stock is more greatly correlated with big asset than with small asset. Secondly, the higher the correlation coefficient among stocks, the larger the eigenvector is. Thirdly, in different periods, like the pre-subprime crisis period and the peak of subprime crisis period, Asian stock quotes show that the component of the third eigenvector of the cross-correlation matrix decreases with the asset of the enterprise decreasing.Fourthly, by simulating the threshold network, the small network constructed by 10 stocks with large assets can show the large network state constructed by 30 stocks. In this research we intend to fully explain the physical mechanism for understanding the historical correlation between stocks and provide risk control strategies in the future.

Effect of degree correlation on edge controllability of real networks

We use the controllability limit theory to study impact of correlation between in- and out-degrees (degree correlation) on edge controllability of real networks. Simulation results and analytic calculations show that the degree correlation plays an important role in the edge controllability of real networks, especially dense real networks. The upper and lower controllability limits hold for all kinds of real networks. Any edge controllability in between the limits is achievable by properly adjusting the degree correlation. In addition, we find that the edge dynamics in some real networks with positive degree correlation may be difficult to control, and explain the rationality of this anomaly based on the controllability limit theory.

Analysis of Complex Correlated Interval-Censored HIV Data from Population Based Survey

In studies of HIV, interval-censored data occur naturally. HIV infection time is not usually known exactly, only that it occurred before the survey, within some time interval or has not occurred at the time of the survey. Infections are often clustered within geographical areas such as enumerator areas (EAs) and thus inducing unobserved frailty. In this paper we consider an approach for estimating parameters when infection time is unknown and assumed correlated within an EA where dependency is modeled as frailties assuming a normal distribution for frailties and a Weibull distribution for baseline hazards. The data was from a household based population survey that used a multi-stage stratified sample design to randomly select 23,275 interviewed individuals from 10,584 households of whom 15,851 interviewed individuals were further tested for HIV (crude prevalence = 9.1%). A further test conducted among those that tested HIV positive found 181 (12.5%) recently infected. Results show high degree of heterogeneity in HIV distribution between EAs translating to a modest correlation of 0.198. Intervention strategies should target geographical areas that contribute disproportionately to the epidemic of HIV. Further research needs to identify such hot spot areas and understand what factors make these areas prone to HIV.

Structural Insights on Internet Traffic:Community Overlapping and Correlations

There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important for efficient network management. In this paper, we construct flow graphs from detailed Internet traffic data collected from the public networks of Internet Service Providers. We analyse the community structures of the flow graph that is naturally formed by different applications. The community size, degree distribution of the community, and community overlap of 10 Internet applications are investigated. We further study the correlations between the communities from different applications. Our results provide deep insights into the behaviour Internet applications and traffic, which is helpful for both network management and user behaviour analysis.

Study on the correlation between bandage bandage and pressure therapy of lymphedema

To explore the effects of bandage technology and pressure therapy in breast cancer with lymphedema.Methods A total of 91 patients,with breast cancer-related lymphedema and hospitalized in a third-class hospital in Jiangsu Province from May to December,2018,were selected and sequenced in class“ABC”in the order of entry.The patients in class“A”were enrolled in“8”shaped bandaging group.The patients in class“B”were enrolled in“5”spiral bandaging group.The patients in class“C”were enrolled in combined bandage group.The primary outcome was the degree of limb swelling used by multiple-frequency bioelectrical impedance analysis.Secondary outcomes were the amount of bandage losses,counting 24-hour bandage loose occurrences and patients satisfaction.All outcomes were evaluated both before and after treatment.Results After treatment,there was a significant difference in the regression of limb swelling in all three groups(P<0.05).However,the largest amplitude of regression was observed in combined bandage group(limb circumference ratio:53%and tissue water ratio:68%).Although“8”bandaging group had large material,bandage cost and minimum comfort,the bandage has good stability and no case of 24-hour bandage loose occurrences was found in this group.The“5”partial binding group had an advantage in the amount of bandage losses and comfort level,but among which 3 patients had the phenomenon of loose bandage at the joint.The combined bandage group had the best therapeutic effect in limb swelling and patients satisfaction(P<0.05).Conclusion The combined bandage group significantly decreased the degree of limb swelling and 24-hour bandage loose occurrences.Importantly,this treatment improved the degree of patients’satisfaction.The treatment of“8”shaped bandaging combined with spiral bandaging is worthy of clinical promotion.

家庭养老能力评价指标体系构建与实证分析

家庭养老能力事关社会养老服务需求与发展,亟需构建科学有效的家庭养老能力评价指标体系。文章利用CHARLS2018年调查数据,构建出由自我养老能力、配偶养老能力和子女养老能力组成的3个准则指标,共有9个子准则指标和17个观测指标构成的家庭养老能力综合评价指标体系。采用熵权法和复相关系数法确定指标权重,并运用U检验、H检验和空间相关性分析家庭养老能力及其分维度的分布特征。结果显示:子女养老能力、自我养老能力和配偶养老能力权重系数分别为0.555、0.288和0.157。家庭养老能力的得分为0.433±0.091,子女养老能力、自我养老能力和配偶养老能力分维度得分分别为0.121±0.056、0.066±0.019和0.245±0.069,均呈现右偏分布,子女养老能力维度失分最多,自我养老能力维度差异性最大。女性、农村和西部地区老人的家庭养老能力显著弱于男性、城市和东部地区老人。低龄老人自我养老能力和配偶养老能力显著较高,但子女养老能力也显著低于高龄老人。中国家庭养老能力居前三位的是上海市、北京市和新疆维吾尔自治区,云南省、甘肃省和安徽省居后三位。研究发现中国家庭养老能力总体得分不高,自我养老能力与子女养老能力之间呈现“互补”态势。家庭养老能力分布呈现性别、城乡和区域差异性。养老服务体系需基于当前家庭养老能力及其分维度的地区差异性,因地制宜发展。

贵州某医高专在校学生自卑感现状及其与应对方式的相关性研究

目的:了解医学生自卑感现状及其与应对方式的相关性,为大学生心理健康教育和自卑心理干预提供参考依据。方法:采用应对方式问卷、自卑感量表和自制的一般资料调查表,对贵州某医高专在校学生的自卑感和应对方式进行问卷调查,使用SPSS22.0统计软件包对调查数据进行t检验、Pearson相关分析和多元逐步回归分析。结果:医学生自卑感总分为(114.86±30.68),其中一年级学生(117.49±28.69)高于二年级学生(112.93±31.95),女生(119.68±30.22)高于男生(109.12±30.25),农村学生(119.52±29.56)高于城镇学生(110.30±34.45),非独生子女(115.94±29.67)高于独生子女(107.90±35.84),差异具有统计学意义(P<0.01);自卑感的民族间差异不显著(P>0.05)。相关分析结果显示:自卑感与解决问题和求助应对方式呈负相关(P<0.05或P<0.01),与自责、幻想、退避和合理化应对方式呈正相关(P<0.01)。逐步回归分析结果显示:解决问题、自责、求助和退避应对方式与自卑感存在线性回归关系(P<0.01),解释自卑感变异的17.9%。结论:贵州某医高专在校学生的自卑感处于中等偏低水平,与解决问题、自责、求助、幻想、退避和合理化应对方式之间存在显著的相关关系。应及时开展心理健康教育和自卑心理干预,提高大学生心理健康水平。

基于多维度注意力机制和复数Conformer的单通道语音增强方法

为提高被噪声干扰的语音的可理解性和语音质量,针对用于语音增强的深度复数网络对语音复数谱中关键声学特征提取不充分、关联信息建模不合理的问题,提出了基于多维度注意力机制和复数Conformer的单通道语音增强方法(SE-MDACC)。在复数U-Net架构下引入复数Conformer,对语音幅度和相位的相关性进行建模;利用多维度注意力机制,构造更加丰富的特征来增强卷积层的表示能力;在残差连接中加入注意力门控机制强化重构语音的细节信息。实验结果显示,相比于深度复数卷积递归网络,SE-MDACC的客观评价指标语音质量感知评估和短时客观可懂度分别提升15.299%、1.462%,表明SE-MDACC可充分提取语音声学特征并对幅度和相位相关性进行合理建模,有效提升语音质量和可理解性。

航空应急救援站脆弱性分析

为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量计算指标、使用模糊综合评价法进行评价获得的定性评价指标以及借助Pajek工具进行计算得到的网络特性指标;其次,使用集成决策实验室法(decision making trial and evaluation laboratory, DEMATEL)对各评价指标的权重进行估计;最后,使用灰度关联分析法综合评价各节点的脆弱性指数。对某地区现有运输机场布局案例进行分析,结果表明:所提方法在充分考虑待选机场的自身应急救援建设条件的基础上,兼顾救援网络中各机场间的互补性和协同作用,为未来的航空应急救援站选址研究提供了一种高效可靠的评价分析方法。

基于皮尔森相关系数的自适应SLIC超像素分割算法

针对简单线性迭代聚类(Simple Linear Iterative Clustering,SLIC)算法对不同图像自适应性差的问题,提出了一种基于皮尔森相关系数的自适应SLIC超像素图像分割算法。首先,通过量化非间隔进行图像预处理,并计算颜色熵作为图像复杂度,从而确定所需分割的超像素个数。其次,利用皮尔森相关系数作为相似性度量函数。最后,通过纹理特征对类内异常点进行滤除,确保种子点更新的准确性。实验结果表明,在超像素个数相同的情况下,基于皮尔森相关系数的自适应SLIC超像素图像分割算法相比主流超像素分割算法,可以获得更高的边缘命中率以及更低的欠分割率,性能优于LSC(Linear Spectral Clustering)、SLIC和SLIC0(Simple Linear Iterative Clustering Zero)算法。

加权有向关联网络构建与表征的水中目标远距离检测

水中目标的远距离检测是海洋防御体系的关键技术之一,对国防及民用领域均具有十分重要的作用。然而,目前尚缺乏行之有效的水中目标远距离检测方法,特别是目标先验信息未知的情况下变的愈加困难。为解决这一问题,提出一种新的方法—加权有向关联网络。通过矢量声信号到加权有向关联网络的映射,将信号检测问题转化为网络拓扑的表征,并通过对网络拓扑的特性分析及特征提取,实现无目标先验信息下的水中目标远距离检测。并通过仿真与实测数据对所提出的方法进行验证。研究结果表明:与现有的窄带互谱检测、冒泡熵等方法相比,所提方法能够检测到更低信噪比的水中目标,实现了无需目标先验信息的水中目标远距离检测;该方法的应用具有一定的实际意义和应用前景,可以为海洋防御和民用领域的水下目标检测提供有效的技术支撑。

基于Apriori算法与因子分析探讨帕金森病的中医药用药规律

目的:运用复杂网络分析中医药治疗帕金森病用药的相互关系。方法:收集中医药方剂治疗帕金森病的相关文献,建立中药数据库,采用SPSS软件进行复杂网络分析探讨各药物相互关系。结果:中医药治疗帕金森病高频用药排名居前6位为白芍、熟地黄、当归、甘草、钩藤、天麻,并对其进行聚类分析及因子分析,得出7类组方和11类公因子。运用关联规则分析得出中药用药以白芍-熟地黄核心药对进行加减。结论:中医药治疗帕金森病常以滋阴养血为主要原则,平肝息风、化痰散结、开窍醒神等为常用治疗方法,其核心药对为白芍-熟地黄。

基于地形复杂度的山区水土流失风险评价

水土流失研究中通常以大范围区域数据为主导,探究小范围山地地区精细化表达,这对评价小范围山地地区水土流失情况具有重大现实意义。利用无人机数据生成高精度的数字高程模型(DEM)与三维模型,基于DEM数据计算多个地形因子,结合相关性分析、聚类分析实现地形因子的分类,再使用变异系数法和主成分分析法实现地形因子的筛选与确权并建立地形复杂度模型;随后,在地形复杂度模型中引入常数偏移量,并进行归一化处理,得到水土流失风险评价因子模型;最后,将其与三维模型和实地踏勘数据进行验证分析。结果表明:1)水土流失风险评价因子模型中坡度、地表切割深度、剖面曲率、平面曲率的系数分别为1.933、0.338、0.206和2.633;2)对于整个试验区,中风险区面积比例为28.50%,分布较为分散。极高风险区比例为4.42%,集中分布在南侧以及西北侧。总体而言,该区域以中低风险为主;3)F1和F2区域水土流失风险较高,因为其存在陡峭地形、低植被覆盖率和土壤沙化等问题。F3区域由于平坦地形和种植大量农作物,表现出相对轻微的水土流失情况。该模型能够准确提取水土流失区域,为小范围山地地区的水土流失和土壤侵蚀等地学研究提供有益的参考。