A novel method for simulating nuclear explosion with chemical explosion to form an approximate plane wave: Field test and numerical simulation

A nuclear explosion in the rock mass medium can produce strong shock waves,seismic shocks,and other destructive effects,which can cause extreme damage to the underground protection infrastructures.With the increase in nuclear explosion power,underground protection engineering enabled by explosion-proof impact theory and technology ushered in a new challenge.This paper proposes to simulate nuclear explosion tests with on-site chemical explosion tests in the form of multi-hole explosions.First,the mechanism of using multi-hole simultaneous blasting to simulate a nuclear explosion to generate approximate plane waves was analyzed.The plane pressure curve at the vault of the underground protective tunnel under the action of the multi-hole simultaneous blasting was then obtained using the impact test in the rock mass at the site.According to the peak pressure at the vault plane,it was divided into three regions:the stress superposition region,the superposition region after surface reflection,and the approximate plane stress wave zone.A numerical simulation approach was developed using PFC and FLAC to study the peak particle velocity in the surrounding rock of the underground protective cave under the action of multi-hole blasting.The time-history curves of pressure and peak pressure partition obtained by the on-site multi-hole simultaneous blasting test and numerical simulation were compared and analyzed,to verify the correctness and rationality of the formation of an approximate plane wave in the simulated nuclear explosion.This comparison and analysis also provided a theoretical foundation and some research ideas for the ensuing study on the impact of a nuclear explosion.

Approximately Bi-Similar Symbolic Model for Discretetime Interconnected Switched System

Dear Editor,This letter concerns the development of approximately bi-similar symbolic models for a discrete-time interconnected switched system(DT-ISS).The DT-ISS under consideration is formed by connecting multiple switched systems known as component switched systems(CSSs).Although the problem of constructing approximately bi-similar symbolic models for DT-ISS has been addressed in some literature,the previous works have relied on the assumption that all the subsystems of CSSs are incrementally input-state stable.

Embedding-based approximate query for knowledge graph

To solve the low efficiency of approximate queries caused by the large sizes of the knowledge graphs in the real world,an embedding-based approximate query method is proposed.First,the nodes in the query graph are classified according to the degrees of approximation required for different types of nodes.This classification transforms the query problem into three constraints,from which approximate information is extracted.Second,candidates are generated by calculating the similarity between embeddings.Finally,a deep neural network model is designed,incorporating a loss function based on the high-dimensional ellipsoidal diffusion distance.This model identifies the distance between nodes using their embeddings and constructs a score function.k nodes are returned as the query results.The results show that the proposed method can return both exact results and approximate matching results.On datasets DBLP(DataBase systems and Logic Programming)and FUA-S(Flight USA Airports-Sparse),this method exhibits superior performance in terms of precision and recall,returning results in 0.10 and 0.03 s,respectively.This indicates greater efficiency compared to PathSim and other comparative methods.

Gaussian Mixture-Learned Approximate Message Passing(GM-LAMP)Based Hybrid Precoders for mmWave Massive MIMO Systems

Hybrid precoder design is a key technique providing better antenna gain and reduced hardware complexity in millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems.In this paper,Gaussian Mixture learned approximate message passing(GM-LAMP)network is presented for the design of optimal hybrid precoders suitable for mmWave Massive MIMO systems.Optimal hybrid precoder designs using a compressive sensing scheme such as orthogonal matching pursuit(OMP)and its derivatives results in high computational complexity when the dimensionality of the sparse signal is high.This drawback can be addressed using classical iterative algorithms such as approximate message passing(AMP),which has comparatively low computational complexity.The drawbacks of AMP algorithm are fixed shrinkage parameter and non-consideration of prior distribution of the hybrid precoders.In this paper,the fixed shrinkage parameter problem of the AMP algorithm is addressed using learned AMP(LAMP)network,and is further enhanced as GMLAMP network using the concept of Gaussian Mixture distribution of the hybrid precoders.The simula-tion results show that the proposed GM-LAMP network achieves optimal hybrid precoder design with enhanced achievable rates,better accuracy and low computational complexity compared to the existing algorithms.

值函数逼近算法在无人机轨迹跟踪的控制研究

为解决载荷状态下的无人机运输的轨迹控制问题,提出了一种基于逼近值函数算法的轨迹规划控制方法。首先建立了无人机运输系统的动力学模型,通过马尔可夫决策过程获得轨迹规划结果,值函数由参数向量和特征向量逼近,利用批处理的方法对参数向量进行更新,并采用贪心策略生成期望轨迹,在此基础上将期望轨迹传递给四旋翼控制器进行轨迹跟踪。仿真结果表明训练后的参数能较好地拟合出值函数,无人机悬挂载荷可以从起始位置平稳地输送到不同的期望位置,且具有较好的收敛性能,最后通过实验验证了该算法的合理性和有效性。

ASPH在肿瘤细胞和肿瘤组织中的分布及检测

目的:检测肿瘤细胞系和我国肿瘤患者癌组织中天冬氨酰-(天冬酰胺酰)β-羟化酶(ASPH)的分布及表达谱。方法:采用RT-PCR法检测肿瘤细胞系中ASPH基因的转录水平;细胞免疫荧光和Western blot方法检测肿瘤细胞系中ASPH蛋白的表达水平;免疫组织化学方法检测人癌组织和正常组织中ASPH的分布与表达。结果:在肿瘤细胞系中AS-PH在转录和翻译水平均有不同程度表达,ASPH蛋白分布于细胞膜和胞质区域;在肿瘤患者组织中有ASPH的高表达,而人正常组织中不表达或表达量极低。结论:ASPH是一种有潜力的广谱性肿瘤标记分子,有可能用于肿瘤的早期检测。

k-center问题的算法研究综述

k-center问题是设施选址的基础问题,同样是NP难问题,在分配、紧急服务等领域也有着实际的应用。随着问题规模的扩大,原有的算法已不再适用,需要进一步优化或者改进。为了找到求解该问题的高效算法,对现有算法进行研究。对各类求解k-center问题的算法进行梳理,将求解算法划分为精确算法、启发式算法、元启发式算法、近似算法等,从算法原理、改进思路、性能和精度等方面进行对比综述。精确算法在求解小规模k-center问题时可在多项式时间内得到最优解,但是算法效率低,不适用于大规模问题;启发式算法可以在多项式时间内给出相对最优解,但是没有理论保证,无法衡量与最优解的关系;元启发式算法可对目前存在的智能优化算法进行改进,给出相对最优解,但是解的质量无法保证;利用近似算法得到的解具有近似比保证,有较大的理论研究价值,但是实用价值较弱。目前求解k-center问题的元启发式算法已取得一定的研究成果,但是在求解时间、求解规模、算法效率等方面仍待突破,这将是未来k-center问题的研究重点。

带恶化效应的极小化总加权延误工件个数的单机双代理调度问题

针对钢铁企业的热轧实际生产流程,提出一类随工件加工位置呈一般线性恶化且工件正常加工时长为单位时间的单机双代理调度问题。在该问题中,热轧阶段进入冷轧厂进行冷轧的工件看作A代理商,直接销售给顾客的工件看作B代理商。A代理商的目标值为极小化最大完工时间,B代理商的目标值是极小化总加权延误工件个数,研究了在A代理商目标值不大于给定上界约束的条件下,寻找使B代理商的目标值最优的调度方案,设计了一个动态规划算法和两个时间复杂性不同的算法来求解代理商最优目标值的上下界,提出完全多项式时间近似方案,使所提的调度问题在多项式时间内可解。

A signal coordination algorithm for two adjacent intersections based on approximate dynamic programming

To reduce vehicle emissions in road networks, a new signal coordination algorithm based on approximate dynamic programming （ADP） is developed for two intersections. Taking the Jetta car as an experimental vehicle, field tests are conducted in Changchun Street of Changchun city and vehicle emission factors in complete stop and uniform speed states are collected. Queue lengths and signal light colors of approach lanes are selected as state variables, and green switch plans are selected as decision variables of the system. Then the calculation model of the optimization index during the planning horizon is developed based on the basis function method of the ADP. The temporal-difference algorithm is employed to update the weighting factor vector of the approximate function. Simulations are conducted in Matlab and the results show that the established algorithm outperforms the conventional coordination algorithm in reducing vehicle emissions by 8.2%. Sensitive analysis of the planning horizon length on the evaluation index is also conducted and the statistical results show that the optimal length of the planning horizon is directly proportional to the traffic load.

激光场中原子阈上电离的强场近似方法研究

强激光与原子相互作用的基本现象是原子的电离,其中阈上电离是一种非常重要的强场电离现象,许多方法被用于研究激光场中原子的阈上电离性质,其中强场近似方法是十分重要的理论方法之一.本文利用时间演化算符及鞍点近似论述了激光场中单原子阈上电离行为的二级强场近似理论,其中一阶近似项给出低能电子的直接电离振幅,二阶近似项描述电子与母离子的重散射过程,表示高能光电子的电离振幅.文章给出了强场近似理论下线性极化的激光场中光电子能谱和电离概率,为应用强场近似方法模拟研究激光场中单原子的动力学行为提供了一定的理论参考和依据.

APPROXIMATE QUERY AND CALCULATION OF RNN_k BASED ON VORONOI CELL

Reverse k nearest neighbor （RNNk） is a generalization of the reverse nearest neighbor problem and receives increasing attention recently in the spatial data index and query. RNNk query is to retrieve all the data points which use a query point as one of their k nearest neighbors. To answer the RNNk of queries efficiently, the properties of the Voronoi cell and the space-dividing regions are applied. The RNNk of the given point can be found without computing its nearest neighbors every time by using the rank Voronoi cell. With the elementary RNNk query result, the candidate data points of reverse nearest neighbors can he further limited by the approximation with sweepline and the partial extension of query region Q. The approximate minimum average distance （AMAD） can be calculated by the approximate RNNk without the restriction of k. Experimental results indicate the efficiency and the effectiveness of the algorithm and the approximate method in three varied data distribution spaces. The approximate query and the calculation method with the high precision and the accurate recall are obtained by filtrating data and pruning the search space.

配合物[AgAc(AsPh_3)_3]·MeOH的合成和晶体结构

本文研究了醋酸银(AgAc)与三苯砷(AsPh3)及2-氨基吡啶(2-Apy)的配位反应,使用溶液法合成了配合物[AgAc(As Ph3)3]·MeOH,并且通过IR和X射线单晶衍射进行结构表征.结构数据表明,配合物为三斜晶系:a=0.131 505(4)nm,b=0.139 366(4)nm,c=0.142 807(4)nm,α=84.330(2)°,β=87.972(2)°,γ=77.586(2)°.

光强—波长模型和RBFN相融合的光谱共焦信号峰值提取方法

提出一种光强-波长模型和径向基函数网络(radial basis function network,RBFN)相融合的光谱共焦信号峰值提取算法,简称RBFN-I-λ。首先通过高斯拟合法拟合离散光谱响应信号的差分信号粗略得到初始峰值波长,然后基于泰勒近似法得到理想峰值波长并计算初始峰值波长和理想峰值波长之间的波长差,最后利用RBFN-I-λ建立光谱共焦响应信号与波长描述误差之间的映射关系。实验结果表明,RBFN-I-λ算法的精度与传统抛物线法、质心法和高斯拟合法等方法相比,至少提升30%。

An Approximation Method for Singular Trudinger-Moser Inequality

In this paper,we construct a power type functional which is the approximation functional of the Singular Trudinger-Moser functional.Moreover,we obtain the concentration level of the functional and show it converges to the concentration level of singular Trudinger-Moser functional on the unit ball.

Statistical analysis on the validity of the cold plasma approximation for chorus waves based on Van Allen Probe observations and their effects on radiation belt electrons

Theoretical analysis has demonstrated that the dispersion relation of chorus waves plays an essential role in the resonant interaction and energy transformation between the waves and magnetospheric electrons.Previous quantitative analyses often simplified the chorus dispersion relation by using the cold plasma assumption.However,the applicability of the cold plasma assumption is doubtful,especially during geomagnetic disturbances.We here present a systematic statistical analysis on the validity of the cold plasma dispersion relation of chorus waves based on observations from the Van Allen Probes over the period from 2012 to 2018.The statistical results show that the observed magnetic field intensities deviate substantially from those calculated from the cold plasma dispersion relation and that they become more pronounced with an increase in geomagnetic activity or a decrease in background plasma density.The region with large deviations is mainly concentrated in the nightside and expands in both the radial and azimuthal directions as the geomagnetic activity increases or the background plasma density decreases.In addition,the bounce-averaged electron scattering rates are computed by using the observed and cold plasma dispersion relation of chorus waves.Compared with usage of the cold plasma dispersion relation,usage of the observed dispersion relation considerably lowers the minimum resonant energy of electrons and lowers the scattering rates of electrons above tens of kiloelectronvolts but enhances those below.Furthermore,these differences are more pronounced with the enhancement of geomagnetic activity or the decrease in background plasma density.

Global Piecewise Analysis of HIV Model with Bi-Infectious Categories under Ordinary Derivative and Non-Singular Operator with Neural Network Approach

This study directs the discussion of HIV disease with a novel kind of complex dynamical generalized and piecewise operator in the sense of classical and Atangana Baleanu(AB)derivatives having arbitrary order.The HIV infection model has a susceptible class,a recovered class,along with a case of infection divided into three sub-different levels or categories and the recovered class.The total time interval is converted into two,which are further investigated for ordinary and fractional order operators of the AB derivative,respectively.The proposed model is tested separately for unique solutions and existence on bi intervals.The numerical solution of the proposed model is treated by the piece-wise numerical iterative scheme of Newtons Polynomial.The proposed method is established for piece-wise derivatives under natural order and non-singular Mittag-Leffler Law.The cross-over or bending characteristics in the dynamical system of HIV are easily examined by the aspect of this research having a memory effect for controlling the said disease.This study uses the neural network(NN)technique to obtain a better set of weights with low residual errors,and the epochs number is considered 1000.The obtained figures represent the approximate solution and absolute error which are tested with NN to train the data accurately.

基于硬约束热启动的量子投资组合优化算法

针对金融领域的投资组合优化问题中普遍存在的整数约束难题,提出了一种基于量子近似优化算法的新解法。该算法通过将经典算法得到的连续解编码为量子电路的初始态,从而将连续优化问题转化为离散的马科维茨模型。同时,引入硬约束来严格满足投资组合中的整数约束,确保解的质量。通过热启动技术,进一步提升了算法的成功率。数值模拟实验表明,该算法在求解大规模整数约束投资组合问题时,相较于传统方法具有显著的计算效率优势,且所得解的质量更优。

Comparison of two kinds of approximate proximal point algorithms for monotone variational inequalities

This paper proposes two kinds of approximate proximal point algorithms （APPA） for monotone variational inequalities, both of which can be viewed as two extended versions of Solodov and Svaiter＇s APPA in the paper ＂Error bounds for proximal point subproblems and associated inexact proximal point algorithms＂ published in 2000. They are both prediction- correction methods which use the same inexactness restriction; the only difference is that they use different search directions in the correction steps. This paper also chooses an optimal step size in the two versions of the APPA to improve the profit at each iteration. Analysis also shows that the two APPAs are globally convergent under appropriate assumptions, and we can expect algorithm 2 to get more progress in every iteration than algorithm 1. Numerical experiments indicate that algorithm 2 is more efficient than algorithm 1 with the same correction step size,

一个肺癌相关新基因ASPH6功能的初步研究

为了探讨ASPH6在肺癌发生和发展中的生物学作用,构建了ASPH6真核表达载体,分别转染了2株肺腺癌细胞系LTEP-a-2和NCI-H1299,经G418筛选后获得了稳定的克隆细胞株.体外实验结果显示,表达ASPH6的肺癌细胞与对照空载细胞相比,细胞的迁移和浸润能力明显下降,但细胞的生长无明显改变.动物体内实验性转移结果显示,高表达ASPH6可明显抑制肺癌细胞的转移能力.进一步通过蛋白质组学方法,筛选并鉴定出14个ASPH表达调控蛋白.因此推测,ASPH6很可能是一个在肺癌发生和发展中起负调控作用的基因.

基于生物信息学分析ASPH在预测肺腺癌预后中的价值及机制研究

目的:探讨天冬氨酸β-羟化酶(ASPH)在肺腺癌中的表达情况、预后价值和在癌症中的作用机制。方法:使用Oncomine、GEPIA和TIMER数据库分析ASPH在肿瘤组织和正常组织中的表达差异,并用HPA数据库在蛋白水平验证,推测其临床意义。应用Kaplan-Meier plotter及GEPIA探讨ASPH表达水平与肺腺癌患者总生存时间的关系,提取Oncomine数据库中患者的生存信息加以整理分析,绘制生存曲线,研究ASPH表达水平与预后的关系。绘制ASPH蛋白互作网络,并进行功能富集分析,研究其作用机制。结果:来自Oncomine、GEPIA和TIMER数据库的数据均表示ASPH在肺腺癌组织中显著高表达(P<0.05),GEPIA数据库还证明了ASPH与肺腺癌患者病理分期显著相关。分析Oncomine数据表明,ASPH表达升高肺腺癌患者的生存时间更短(HR=0.39,95%CI:0.17~0.88,P=0.0240),GEPIA及Kaplan-Meier plotter分析结果均支持ASPH高表达预示着肺腺癌患者预后更差(P=2.4E-08)。ASPH及相关基因功能涉及钙离子调控及缺氧反应,并参与Notch、mTOR信号通路,影响肿瘤的发生与发展。ASPH还与免疫细胞浸润及相关标志物呈现弱相关性。结论:ASPH在肺腺癌组织中表达明显升高,预示着患者预后不良,且参与多条与癌症相关的信号通路,与免疫细胞浸润呈现弱相关性,ASPH可能是肺腺癌新的预后和潜在治疗标志物。