Research on the completeness of earthquake data in the Chinese mainland（I）──North China

In terms of the temporal-spatial distribution features of earthquakes, we study the completeness of historical data in North China where there is the most plenty historical data and with the longest record history by some meth ods of analysis and comparison. The results are obtained for events with Ms≥4 are largely complete since 1484 in North China (except Huanghai sea region and remote districts, such as Nei Mongol Autonomous region), but quakes with Ms≥6 are largely complete since 1291 in the middle and lower reaches of the Yellow River.

A New Kind of k-Quantum Nonlinear Coherent States： Their Generation and PhysicalMeaning

A new kind of k-quantum nonlinear coherent states,i.e.,the k eigenstates of the k-th power~k (k≥3) of the generalized annihilation operator=1/f() of f-oscillators,are obtained and their properties are discussed.The completeness of the k states is investigated.An alternative method to construct them is proposed.It is shown that these states may form a complete Hilbert space,and all of them can be generated by a linear superposition of k Roy-type nonlinear coherent states.Physically,they can be generated by a linear superposition of the time-dependent Roy-type nonlinear coherent states at different instants.

Sharp power-type Heronian and Lehmer means inequalities for the complete elliptic integrals

In the article,we prove that the inequalities H_(p)(K(r);E(r))>π/2;L_(q)(K(r);E(r))>π/2 hold for all r 2(0;1)if and only if p≥3=4 and q≥3=4,where Hp(a;b)and Lq(a;b)are respectively the p-th power-type Heronian mean and q-th Lehmer mean of a and b,and K(r)and E(r)are respectively the complete elliptic integrals of the first and second kinds.

Study on Microsatellite Distribution in Complete Genomes of Tobacco Vein Clearing Virus

MATLAB software and optimal complete subgraph algorithm were used to extract and reveal the microsatellite distribution features in the complete genomes of the tobacco vein clearing virus （NC-003 378.1） from the NCBI database.The results showed that the repetitions number and their location of the N-base group has been extracted and displayed.The largest repetitions of N-base group in the complete genomes of the tobacco vein clearing virus was decreased as the exponential function with the increasing of N.The method used in this study could be applied to the extraction and revealing of the microsatellite distribution features in the complete genomes of other viruses,thereby provided a basis for the research of the structure and the law of function,inheritance and variation by the using of the microsatellite distribution features.

Comparison of Four Methods for Handing Missing Data in Longitudinal Data Analysis through a Simulation Study

Missing data can frequently occur in a longitudinal data analysis. In the literature, many methods have been proposed to handle such an issue. Complete case (CC), mean substitution (MS), last observation carried forward (LOCF), and multiple imputation (MI) are the four most frequently used methods in practice. In a real-world data analysis, the missing data can be MCAR, MAR, or MNAR depending on the reasons that lead to data missing. In this paper, simulations under various situations (including missing mechanisms, missing rates, and slope sizes) were conducted to evaluate the performance of the four methods considered using bias, RMSE, and 95% coverage probability as evaluation criteria. The results showed that LOCF has the largest bias and the poorest 95% coverage probability in most cases under both MAR and MCAR missing mechanisms. Hence, LOCF should not be used in a longitudinal data analysis. Under MCAR missing mechanism, CC and MI method are performed equally well. Under MAR missing mechanism, MI has the smallest bias, smallest RMSE, and best 95% coverage probability. Therefore, CC or MI method is the appropriate method to be used under MCAR while MI method is a more reliable and a better grounded statistical method to be used under MAR.

Elementary Introduction to the differences in Vocabulary between British English and American English

With the development of the two countries, the differences in some fields are clear and are also reflected in their languages. This paper discusses the differences in vocabulary between British English and American English through three aspects - - - the same words but different meaning, the same meanings but different words,characteistic words.

Optimizing medication strategies for liver cancer:unraveling the mechanisms of key drug combinations in the comprehensive guide to effective tumor prescriptions

This study delved into the formulaic patterns of liver cancer treatment outlined in“The Complete Book of Good Tumor Prescriptions”and explored the action mechanisms of core traditional Chinese medicine(TCM)combinations.Initially,liver cancer treatment formulas were extracted from the aforementioned book,and Excel 2017 was employed for calculating the frequency,properties,and meridians associated with the TCMs.IBM SPSS Modeler 18.0 was utilized for the analysis of TCM association rules,and Cytoscape 3.7.2 was employed for the visualization of these rules.Subsequently,network pharmacology was utilized to analyze the action mechanisms of core TCM combinations,leveraging TCMSP,TCMID,Genecards,DAVID,and other databases.The results revealed the inclusion of 131 prescriptions encompassing 303 TCMs.The core TCMs predominantly comprised those invigorating blood circulation and removing blood stasis,clearing heat,and tonifying deficiencies.The flavor of the TCMs was chiefly bitter or pungent,with a prevailing cold property entering the liver and spleen meridians.Association analysis indicated that the support of Angelicae sinensis radix-Trionycis carapax was the highest.Network pharmacology predictions indicated that Angelicae sinensis radix-Trionycis carapax possessed 20 target genes associated with anti-liver cancer properties,including IL-6,MAPK3,and SRC.Gene survival analysis demonstrated high expression of MAPK3 and SRC in liver cancer patients,correlating with a poor prognosis.KEGG analysis identified major anti-liver cancer pathways for Angelicae sinensis radix-Trionycis carapax,encompassing the cancer pathway,TNF signaling pathway,and prolactin signaling pathway.In summary,this study elucidated that TCMs for liver cancer treatment primarily consisted of invigorating blood circulation and removing blood stasis,antipyretic,and tonifying medicines.The core TCM pair,Angelicae sinensis radix-Trionycis carapax,appeared pivotal in this context.The underlying mechanism might involve the modulation of key genes,such as MAPK3 and SRC,and the regulation of pathways,including the cancer pathway,TNF signaling pathway,and prolactin signaling pathway.

SHARP BOUNDS FOR TOADER-TYPE MEANS IN TERMS OF TWO-PARAMETER MEANS

In the article,we prove that the double inequalities Gp[λ1a+(1-λ1)b,λ1 b+(1-λ1)a]A1-p(a,b)<T[A(a,b),G(a,b)]<Gp[μ1 a+(1-μ1)b,μ1b+(1-μ1)a]A1-p(a,b),Cs[λ^(2) a+(1-λ2)b,λ2 b+(1-λ2)a]A1-s(a,b)<T[A(a,b),Q(a,b)]<Cs[μ2 a+(1-μ2)b,μ2 b+(1-μ2)a]A1-p(a,b)hold for all a,b>0 with a≠b if and only ifλ1≤1/2-(1-(2/π)2/p)1/2/2,μ1≥1/2-(2p)1/2/(4 p),λ2≤1/2+(2(3/(2 s)(E(21/2/2)/π)1/s)-1)1/2/2 andμ2≥1/2+s1/2/(4 s)ifλ1,μ1∈(0,1/2),λ2,μ2∈(1/2,1),p≥1 and s≥1/2,where G(a,b)=(ab)1/2,A(a,b)=(a+b)/2,T(a,b)=∫0π/2(a2 cos2 t+b2 sin2)1/2 tdt/π,Q(a,b)=((a2+b2)/2)1/2,C(a,b)=(a2+b2)/(a+b)and E(r)=∫0π/2(1-r^(2) sin^(2))1/2 tdt.

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics.Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing.Owing to the complexity of marine environment and the particularity of underwater acoustic channel,noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing.In order to solve the dilemma,we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),minimum mean square variance criterion(MMSVC) and least mean square adaptive filter(LMSAF).This noise reduction technique,named CEEMDAN-MMSVC-LMSAF,has three main advantages:(i) as an improved algorithm of empirical mode decomposition(EMD) and ensemble EMD(EEMD),CEEMDAN can better suppress mode mixing,and can avoid selecting the number of decomposition in variational mode decomposition(VMD);(ii) MMSVC can identify noisy intrinsic mode function(IMF),and can avoid selecting thresholds of different permutation entropies;(iii) for noise reduction of noisy IMFs,LMSAF overcomes the selection of deco mposition number and basis function for wavelet noise reduction.Firstly,CEEMDAN decomposes the original signal into IMFs,which can be divided into noisy IMFs and real IMFs.Then,MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs.Finally,both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained.Compared with other noise reduction techniques,the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals,which has the better noise reduction effect and has practical application value.CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection,feature extraction,classification and recognition of underwater acoustic signals.

On the Mean Value of the Complete Trigonometric Sums with Dirichlet Characters

The main purpose of this paper is, using the analytic method, to study the mean value properties of the complete trigonometric sums with Dirichlet characters, and give an exact calculating formula for its fourth power mean.

ON COMPLETE SUBMANIFOLDS WITH PARALLEL MEAN CURVATURE IN NEGATIVE PINCHED MANIFOLDS

A rigidity theorem for oriented complete submanifolds with parallel mean curvature in a complete and simply connected Riemannian （n ＋ p）-dimensional manifold N^n＋p with negative sectional curvature is proved. For given positive integers n（≥ 2）, p and for a constant H satisfying H 〉 1 there exists a negative number τ（n,p, H） ∈ （-1, 0） with the property that if the sectional curvature of N is pinched in [-1, τ-（n,p, H）], and if the squared length of the second fundamental form is in a certain interval, then N^n＋p is isometric to the hyperbolic space H^n＋P（-1）. As a consequence, this submanifold M is congruent to S^n（1√H^2 - 1） or the Veronese surface in S^4（1/√H^2-1）.

Complete hypersurfaces in a 4-dimensional hyperbolic space

This paper gives a classification of complete hypersurfaces with nonzero constant mean curvature and constant quasi-Gauss-Kronecker curvature in the hyperbolic space H4（-1）,whose scalar curvature is bounded from below.

On complete convergence in Marcinkiewicz-Zygmund type SLLN for random variables

We consider a generalization of Baum-Katz theorem for random variables satisfying some cover conditions.Consequently,we get the results for many dependent structures,such as END,ϱ^(*)mixing,ϱ^(-)mixing andφ-mixing,etc.

Hematological indices as predictors of mortality in dengue shock syndrome: A retrospective study

Objective:To explore predictive hematological parameters on admission which are associated with mortality in NS1 positive dengue shock syndrome patients.Methods:Demographic characteristics,hematological parameters,and the outcome of NS1 positive dengue shock syndrome patients without any comorbidity and coexisting infections were collected from the Intensive Care Unit and the results were compared between the survivor and non-survivor groups.Results:The mean age was(30.77±11.48)years and 56(56.6%)patients were males.Out of the total 99 patients,72(72.27%)patients were successfully discharged and 27(27.27%)patients eventually succumbed to death.The most common hematological finding was thrombocytopenia(95.95%),followed by anemia(52.52%)and decreased mean platelet volume(37.37%).After controlling other variables,logistic regression analysis showed that absolute neutrophil count and mean platelet volume were associated with mortality.Conclusions:Total leucocyte count,absolute neutrophil count,and total platelet count are significantly higher,and mean platelet volume is significantly lower in the non-survivor group as compared to the survivor group.Absolute neutrophil count and mean platelet volume are predictors associated with mortality.

用文献-传播学方法开拓通俗小说研究新局面——《〈水浒传〉成书时间研究:以〈水浒传〉早期传播史料为中心》读后

在《〈水浒传〉成书时间研究:以〈水浒传〉早期传播史料为中心》一书中,作者采用文献-传播学的方法,对李开先《一笑散》、杨慎《词品》、张丑《真迹日录》、钱希言《戏瑕》、陆容《菽园杂记》、潘之恒《叶子谱》、熊过《故相国石斋杨公墓表》等《水浒传》早期传播史料加以考辨。此举兼具文献及其传播的时效性价值与历史性价值,有助于学界转变思路,客观讨论《水浒传》的成书时间。

基于特征提取的快速图书损坏鉴评方法研究

文章针对图书损坏现象,提出一种基于特征提取的快速图书损坏鉴评方法。对出借和归还时图书的正反侧三面图像进行差异度检测,评判图书损坏是否超过损坏阈值;找到差异度位置区域,并利用一种新的有监督的分析方法对该区域进行特征提取,继而分类匹配,判定损坏类型和损坏程度,提示图书馆工作人员及时进行图书修复,督促读者爱护书籍,养成良好的阅读习惯。同时,文章采集某高校图书馆内的1000本纸质藏书,将所提方法与传统的特征提取方法进行对比实验,结果表明文章所提方法的识别精度更高。

基于CEEMDAN-VMD-PSO-LSTM模型的桥梁挠度预测

针对桥梁运行阶段的健康状态监测,构建了CEEMDAN-VMD-PSO-LSTM模型对桥梁挠度进行预测。该模型主要分为二次模态分解平稳化、粒子群优化(PSO)算法和长短期记忆(LSTM)网络预测三大模块,共有5个步骤:①利用自适应噪声完备集合经验模态分解(CEEMDAN)算法对桥梁原始挠度序列进行初次模态分解,分解为若干本征模态分解函数(IMF);②使用样本熵(SampEn/SE)计算各IMF分量的复杂度,并通过K-means聚类为高频、中频和低频3个IMF分量;③通过变分模态分解(VMD)算法对高频IMF分量进行二次模态分解;④分别对各个IMF分量通过PSO算法得出LSTM最优超参数组合;⑤将各最优超参数分别代入LSTM模型进行训练,并将各预测结果融合为最终的预测结果。结果表明:该预测方法具有最高的预测精度,为智慧桥梁的安全监测监控提供了新的技术方法。

基于CERLMDAN-PE-NLMS的MEMS陀螺信号去噪方法

随着武器技术的不断发展,常规弹药的制导化改造已成为一种必然趋势。通过应用精确制导技术,可以显著提高弹药的打击精度和效率。而在实现弹药制导化改造的过程中,精准测量角速度是一项关键核心技术。微机电系统(Micro-Electro Mechanical System,MEMS)陀螺仪存在输出信号噪声大、精度低的问题,针对上述问题,提出了一种自适应噪声完备集合鲁棒局部均值分解(CERLMDAN)和归一化LMS算法(Normalized Least Mean Square,NLMS)结合的滤波模型。该模型通过在鲁棒局部均值分解(Robust Local Mean Decomposition,RLMD)过程中添加白噪声将原始数据分解为多个乘积函数(Product Functions,PF),并根据排列熵(Permutation Entropy,PE)将PF分为混合PF和有用PF;其次对混合PF使用NLMS去噪;最后,把处理后的PF和有用PF进行重构,得到去噪后的信号。试验表明,本文提出的去噪模型对信号均值与方差有显著提升,信号均值由0.5891提升至0.5396,信号方差由44.473提升至5.2692。

基于二次分解和JSO-TCN模型的短期光伏功率预测

针对光伏功率数据稳定性低、波动性大以及通过单一模型难以全面捕捉信号非线性特征的问题,提出了一种基于二次分解和JSO-TCN模型的光伏预测模型。该模型首先通过自适应噪声完备集合经验模态分解(CEEMDAN)对实际光伏功率数据进行分解;然后分别计算各分量的样本熵,并通过K-means++聚类为高频、中频和低频3个分量,再利用变分模态分解(VMD)对熵值最高的模态分量进行二次分解;最终将处理后的数据输入到时序卷积网络(TCN)中并采用水母优化算法(JSO)对TCN进行参数优选。以西南地区某光伏电站为例,相比于其他模型,本模型在3类指标上均具有优势,决定系数(R 2)为98.29%、平均绝对误差(MAE)为0.481 MW、均方根误差(RMSE)为0.674 MW。由此可知,基于二次分解和JSO-TCN模型预测精度高、误差小,能够为该地区电网调度提供参考。

“古书”视阈下《神农本草经》成书时间研究路径初析

学界关于“《神农本草经》成书时间”的探讨主要有7种结论,但大多数结论未能基于“古书”视角而论。古书的成书与流传是一个复杂过程,其具有“材料来源多元、作者群体多种、创作思维多样”等文本生成特点与“多线性、嵌合式、长时期”等文本传播特点。因此,《神农本草经》或已收录于《汉书·艺文志》中,其初本亦可能于民间“医技秘传”过程中即已形成,而陶弘景所辑入四卷本是其修缮本。故而,现有结论仍值得商榷,此问亦可继续探研,但关键是要把握《神农本草经》是“古书”这一本质属性,且需辅之以地下出土之材料为证,真相方可水落石出。