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TO SOLVE MATRIX EQUATION sum (A^iXBi=c) BY THE SMITH NORMAL FORM
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作者 Huang LipingInstitute of Mathematics and Software, Xiangtan Polytechnic University, Xiangtan 411201. 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2002年第1期109-118,共10页
By using the Smith normal form of polynomial matrix and algebraic methods, this paper discusses the solvability for the linear matrix equation A iXB i=C over a field, and obtains the explicit formulas of general sol... By using the Smith normal form of polynomial matrix and algebraic methods, this paper discusses the solvability for the linear matrix equation A iXB i=C over a field, and obtains the explicit formulas of general solution or unique solution. 展开更多
关键词 matrix equation Smith normal form universally solvable g-inverse.
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应用Normal矩阵谱平分法的多社团发现 被引量:6
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作者 张燕平 王杨 赵姝 《计算机工程与应用》 CSCD 北大核心 2010年第27期43-45,共3页
现实世界中许多实际网络都有一个共同的性质,即社团结构。揭示网络中的社团结构,对于了解网络结构与分析网络性质都是很重要的。分析了常见的社团发现算法的特点,以及谱二分法在实际应用中必须不断迭代才能完成多社团发现的不足,提出了... 现实世界中许多实际网络都有一个共同的性质,即社团结构。揭示网络中的社团结构,对于了解网络结构与分析网络性质都是很重要的。分析了常见的社团发现算法的特点,以及谱二分法在实际应用中必须不断迭代才能完成多社团发现的不足,提出了基于Normal矩阵和k-means聚类算法的多社团发现方法。该算法能选择合适的特征向量维数,为k-means划分社团提供有效数据,相比其他算法有着较高的准确率。 展开更多
关键词 社团结构 normal矩阵 谱平分法 K-MEANS聚类算法
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Generalized normal matrices
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作者 MA Hong-ping MIAO Zheng-ke LI Jiong-sheng 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2008年第2期240-244,共5页
A matrix A ∈ Mn(C) is called generalized normal provided that there is a positive definite Hermite matrix H such that HAH is normal. In this paper, these matrices are investigated and their canonical form, invarian... A matrix A ∈ Mn(C) is called generalized normal provided that there is a positive definite Hermite matrix H such that HAH is normal. In this paper, these matrices are investigated and their canonical form, invariants and relative properties in the sense of congruence are obtained. 展开更多
关键词 generalized normal matrix CONGRUENCE canonical form invariant.
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一种基于Normal矩阵的时间序列聚类方法 被引量:5
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作者 姜荣 赵凤霞 +1 位作者 谢福鼎 张永 《计算机应用研究》 CSCD 北大核心 2010年第8期2926-2928,共3页
提出了一种基于Normal矩阵的时间序列聚类方法。该算法首先对时间序列数据进行向量形式转换,计算出各个时间序列间的相似度并构建复杂网络,然后利用基于Normal矩阵的方法进行复杂网络社团划分,同一类的时间序列被划分到一个社团,即实现... 提出了一种基于Normal矩阵的时间序列聚类方法。该算法首先对时间序列数据进行向量形式转换,计算出各个时间序列间的相似度并构建复杂网络,然后利用基于Normal矩阵的方法进行复杂网络社团划分,同一类的时间序列被划分到一个社团,即实现对时间序列数据的聚类。为了验证该方法的可行性和有效性,将其应用于股票时间序列数据聚类分析中,并在两个实际的数据集上与其他方法相比较,取得了较好的实验结果。 展开更多
关键词 时间序列聚类 社团结构 复杂网络 normal矩阵 相似度
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图的Normalized Laplacian多项式系数
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作者 廖丽雯 陈海燕 《集美大学学报(自然科学版)》 CAS 2016年第1期77-80,共4页
首先利用图的一级半子图给出了Normalized Laplacian特征多项式系数的一个组合表达式,然后在此表达式的基础上,用组合方法证明了Normalized Laplacian谱和图的结构之间的一系列关系式.
关键词 normalized LAPLACIAN矩阵 一级半子图 normalized LAPLACIAN谱
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The Bounds for Eigenvalues of Normalized Laplacian Matrices and Signless Laplacian Matrices 被引量:1
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作者 Serife Büyükkose Sehri Gülcicek Eski 《Advances in Linear Algebra & Matrix Theory》 2014年第4期201-204,共4页
In this paper, we found the bounds of the extreme eigenvalues of normalized Laplacian matrices and signless Laplacian matrices by using their traces. In addition, we found the bounds for k-th eigenvalues of normalized... In this paper, we found the bounds of the extreme eigenvalues of normalized Laplacian matrices and signless Laplacian matrices by using their traces. In addition, we found the bounds for k-th eigenvalues of normalized Laplacian matrix and signless Laplacian matrix. 展开更多
关键词 normalized Laplacian matrix Signless Laplacian matrix Bounds of Eigenvalue
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On the Normalized Laplacian Spectra of some Double Join Operations of Graphs
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作者 Weizhong WANG Bin WEI 《Journal of Mathematical Research with Applications》 CSCD 2023年第2期127-138,共12页
This paper is concerned with the normalized Laplacian spectra of four variants of double join operations based on subdivision graph,Q-graph,R-graph and total graph.The results here generalize some well known results a... This paper is concerned with the normalized Laplacian spectra of four variants of double join operations based on subdivision graph,Q-graph,R-graph and total graph.The results here generalize some well known results about some join operations of graphs. 展开更多
关键词 normalized Laplacian matrix normalized Laplacian spectrum double join operations regular graph
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一种用于深空网天线组阵的基于归一化权的Matrix-Free Power Method 被引量:3
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作者 赵晓明 冯恩信 姜家持 《遥测遥控》 2009年第4期15-20,共6页
对深空网天线组阵中的几种信号相关算法作简要介绍,重点研究无需形成矩阵的幂的方法——Matrix-Free Power Method。通过理论分析,提出一种改进算法,即基于归一化权的Matrix-Free Power Method。理论计算和软件仿真结果均表明,基于归一... 对深空网天线组阵中的几种信号相关算法作简要介绍,重点研究无需形成矩阵的幂的方法——Matrix-Free Power Method。通过理论分析,提出一种改进算法,即基于归一化权的Matrix-Free Power Method。理论计算和软件仿真结果均表明,基于归一化权的Matrix-Free Power Method信噪比合成性能略优于原Matrix-Free Power Method。 展开更多
关键词 深空探测 天线组阵 matrix-FREE POWER Method 权信噪比 归一化权
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A New Relationship Between Partial Orders of Normal Matrices and Their Squares
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作者 LIUXiao-ji ZHANGJing-wen 《苏州科技学院学报(自然科学版)》 CAS 2004年第2期63-64,共2页
A new relationship between partial orders of normal matrices and their squares is established.
关键词 矩阵论 矩阵部分排序 正规矩阵 线性代数
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Parametric Approach for the Normal Luenberger Function Observer Design in Second-order Descriptor Linear Systems 被引量:2
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作者 Bin Zhou Guang-Ren Duan Yun-Li Wu 《International Journal of Automation and computing》 EI 2008年第2期125-131,共7页
In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalize... In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalized Sylvester-observer matrix equation. Based on an explicit parametric solution to this equation, a parametric solution to the normal Luenberger function observer design problem is given. The design degrees of freedom presented by explicit parameters can be further utilized to achieve some additional design requirements. 展开更多
关键词 Second-order descriptor linear systems normal Luenberger functions observer Sylvester matrix equation parametricsolutions
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A Method for Normal Direction Judge Applied in Electrocardiographic Problem
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作者 Chengcheng Tang Jian Wu Riqing Chen 《Journal of Biosciences and Medicines》 2018年第1期1-8,共8页
Boundary Element Method (BEM) is widely used in electrocardiographic (ECG) problem. Formulations of these problems based on mathematical and numerical approximations of the known source in heart and the volume conduct... Boundary Element Method (BEM) is widely used in electrocardiographic (ECG) problem. Formulations of these problems based on mathematical and numerical approximations of the known source in heart and the volume conductor that can transfer voltages on the surface of the body. To analyze the electric potentials on body surface or epicardial surface, a set of discrete equations derived from a boundary integral equations need to be solved. Solving these equations means to get the potential distribution eventually. In the process of solving, transfer matrix of discrete equations has received considerable attention, how to get an appropriate transfer matrix is an important issue. This paper found that the direction of normal vector could affect the results when calculating the transfer matrix and presents a method analogous to Mesh Current Method to deal with this direction problem. Several simulations have been carried out to verify the accurate results with the correct direction of normal vector using new method within a torso model given simultaneous epicardial and body surface potential recordings. 展开更多
关键词 ECG PROBLEM BEM Transfer matrix normal VECTOR Direction
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A simple and effective model for Jones matrix to evaluate the transmission performance of Savart polariscope
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作者 吴海英 张淳民 李杰 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第11期381-388,共8页
Starting from the wave normal tracing treatment in the Savart polariscope that relates the Jones matrix to its transmission performance, this paper establishes a simple and effective model for the Jones matrix at an a... Starting from the wave normal tracing treatment in the Savart polariscope that relates the Jones matrix to its transmission performance, this paper establishes a simple and effective model for the Jones matrix at an arbitrary incidence in the spatial domain. Analytical expressions of all the matrix components are determined with the consideration of all the main impact factors. This model needs only a few parameters hence it is convenient to be employed to evaluate the propagation performance of any birefringent optical system. The simulated results obtained with it demonstrate that this model gives a precise representation of the characteristic of light propagation in the Savart polariscope. This would provide useful suggestions for the design, calibration, and performance improvement of any other birefringent polarisation element and optical system. 展开更多
关键词 wave normal tracing method Jones matrix transmission performance Savart polariscope
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Performance Prediction Based on Statistics of Sparse Matrix-Vector Multiplication on GPUs 被引量:1
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作者 Ruixing Wang Tongxiang Gu Ming Li 《Journal of Computer and Communications》 2017年第6期65-83,共19页
As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo a... As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo and Wang put forward a new idea to predict the performance of SpMV on GPUs. However, they didn’t consider the matrix structure completely, so the execution time predicted by their model tends to be inaccurate for general sparse matrix. To address this problem, we proposed two new similar models, which take into account the structure of the matrices and make the performance prediction model more accurate. In addition, we predict the execution time of SpMV for CSR-V, CSR-S, ELL and JAD sparse matrix storage formats by the new models on the CUDA platform. Our experimental results show that the accuracy of prediction by our models is 1.69 times better than Guo and Wang’s model on average for most general matrices. 展开更多
关键词 SPARSE matrix-Vector MULTIPLICATION Performance Prediction GPU normal DISTRIBUTION UNIFORM DISTRIBUTION
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The Alpha-Beta-Gamma Skew Normal Distribution and Its Application
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作者 Zhengyuan Wei Tiankui Peng Xiaoya Zhou 《Open Journal of Statistics》 2020年第6期1057-1071,共15页
In this paper, a new class of skew multimodal distributions with more flexible than alpha skew normal distribution and alpha-beta skew normal distribution is proposed, which makes some important distributions become i... In this paper, a new class of skew multimodal distributions with more flexible than alpha skew normal distribution and alpha-beta skew normal distribution is proposed, which makes some important distributions become its special cases. The statistical properties of the new distribution are studied in detail, its moment generating function, skewness coefficient, kurtosis coefficient, Fisher information matrix, maximum likelihood estimators are derived. Moreover, a random simulation study is carried out for test the performance of the estimators, the simulation results show that with the increase of sample size, the mean value of maximum likelihood estimators tends to the true value. The new distribution family provides a better fit compared with other known skew distributions through the analysis of a real data set. 展开更多
关键词 Skew Distribution Multimodal Distribution Alpha-Beta-Gamma Skew normal Distribution Fisher Information matrix
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激光剥蚀电感耦合等离子体质谱(LA-ICP-MS)元素定量分析方法开发及其地学应用
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作者 范晨子 赵令浩 +4 位作者 孙冬阳 胡明月 袁继海 樊兴涛 詹秀春 《地球学报》 北大核心 2025年第6期1039-1050,共12页
激光剥蚀电感耦合等离子质谱技术(LA-ICP-MS)是地质科学领域最前沿的分析技术之一。研究组基于LA-ICP-MS建立了基体归一定量校准技术,并成功优化应用于硫化物“矿物桥”、碳酸盐和稀土氟碳酸盐等不同基体的样品分析方法开发。针对单个... 激光剥蚀电感耦合等离子质谱技术(LA-ICP-MS)是地质科学领域最前沿的分析技术之一。研究组基于LA-ICP-MS建立了基体归一定量校准技术,并成功优化应用于硫化物“矿物桥”、碳酸盐和稀土氟碳酸盐等不同基体的样品分析方法开发。针对单个熔融包裹体可直接对成分复杂的矿物表面100μm以下以多相形式存在的熔体包裹体进行整体分析;通过配制多元素标准溶液填充至纯石英毛细管中,制成人工流体包裹体外部参考物质来实现对石盐等天然流体包裹体的定量分析。成功研制了CGSG硅酸盐、CGSP碳酸盐、CGSP-P磷酸盐系列等微区分析校准物质,被国际权威的地质和环境标准物质数据库GeoReM收录并在首页推荐,国内外多家高校及科研机构将其作为质量监控标准。应用自主开发微区方法促进地质新发现和新认识,助力“氟碳钙钕矿”新矿物的发现;完成了锰银型矿床锰矿物中“不可见银”的含量分布、物相组成、微细粒径、价态形式及其赋存状态特征与形成机理研究;建立多种副矿物U-Pb定年方法及关键微量元素定量分析技术体系,研究榍石在不同体系中微量元素特征,为认识和探讨相关地质过程奠定基础。 展开更多
关键词 LA-ICP-MS 基体归一定量技术 包裹体 微区分析校准物质 地学应用
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Robust Low-Power Algorithm for Random Sensing Matrix for Wireless ECG Systems Based on Low Sampling-Rate Approach
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作者 Mohammadreza Balouchestani Kaamran Raahemifar Sridhar krishnan 《Journal of Signal and Information Processing》 2013年第3期125-131,共7页
The main drawback of current ECG systems is the location-specific nature of the systems due to the use of fixed/wired applications. That is why there is a critical need to improve the current ECG systems to achieve ex... The main drawback of current ECG systems is the location-specific nature of the systems due to the use of fixed/wired applications. That is why there is a critical need to improve the current ECG systems to achieve extended patient’s mobility and to cover security handling. With this in mind, Compressed Sensing (CS) procedure and the collaboration of Sensing Matrix Selection (SMS) approach are used to provide a robust ultra-low-power approach for normal and abnormal ECG signals. Our simulation results based on two proposed algorithms illustrate 25% decrease in sampling-rate and a good level of quality for the degree of incoherence between the random measurement and sparsity matrices. The simulation results also confirm that the Binary Toeplitz Matrix (BTM) provides the best compression performance with the highest energy efficiency for random sensing matrix. 展开更多
关键词 SENSING matrix Power CONSUMPTION normal and ABnormal ECG Signal Compressed SENSING Block Sparse BAYESIAN learning
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一种雷达训练成效评估模型构建方法
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作者 朱泽锋 卢其龙 +1 位作者 邹德智 蒋敏 《舰船电子工程》 2025年第6期67-71,共5页
文章以雷测装备跟踪无人机训练为主要手段,选取首捕时长、重捕时长、总跟踪有效时长、方位测角精度、俯仰测角精度作为评估指标。运用反正切函数法、相对比值法将指标进行归一化处理,然后建立训练成效评估模型,以此确定操作手的等级排... 文章以雷测装备跟踪无人机训练为主要手段,选取首捕时长、重捕时长、总跟踪有效时长、方位测角精度、俯仰测角精度作为评估指标。运用反正切函数法、相对比值法将指标进行归一化处理,然后建立训练成效评估模型,以此确定操作手的等级排序。运用该评估模型可解决测控装备训练中不易进行客观考核评价的现实问题,为捕获跟踪训练成效评估奠定了基础,具有一定的实践价值和应用价值。 展开更多
关键词 矩阵 归一化 训练成效 评估模型
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语义分割中的自适应通道特征蒸馏
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作者 马健 陈良 +1 位作者 凌志 章月圆 《江苏大学学报(自然科学版)》 北大核心 2025年第5期556-561,共6页
传统的知识蒸馏方法并未对语义分割任务进行优化,且其往往只考虑了模型空间层面的知识对齐,另外还存在师生架构的限制、冗余知识的传播等问题.针对以上不足,使用分割模型的主干部分、特征融合(加强)层和预测标签三者的通道层面特征,并... 传统的知识蒸馏方法并未对语义分割任务进行优化,且其往往只考虑了模型空间层面的知识对齐,另外还存在师生架构的限制、冗余知识的传播等问题.针对以上不足,使用分割模型的主干部分、特征融合(加强)层和预测标签三者的通道层面特征,并利用自注意力机制、softmax量纲一化、相关性矩阵等理论,最终基于主干层改进的自适应特征蒸馏、融合层通道相关性蒸馏及标签层通道显著性蒸馏设计出了自适应通道特征蒸馏框架.为验证框架的有效性,在PSPNet语义分割网络上进行了系统的试验.结果表明:所提出框架在保持PSPNet-ResNet18学生模型推理效率的同时,将分割精度提升5.79百分点,并且,框架支持师生模型采用异构主干网络. 展开更多
关键词 语义分割 知识蒸馏 模型轻量化 自注意力机制 量纲一化 相关性矩阵
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惩罚函数波束形成声源识别算法及应用研究 被引量:2
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作者 赵慎 李伟 +3 位作者 覃业梅 周开军 李世玲 石少锦 《振动与冲击》 北大核心 2025年第1期315-324,共10页
在基于传声器阵列的噪声源识别应用中,函数波束形成算法存在空间分辨率的性能瓶颈,为此提出惩罚函数波束形成声源识别算法。以归一化后的函数波束形成输出作为惩罚矩阵,计算其与加权矩阵的Hadamard积,调节加权矩阵中的导向向量;利用调... 在基于传声器阵列的噪声源识别应用中,函数波束形成算法存在空间分辨率的性能瓶颈,为此提出惩罚函数波束形成声源识别算法。以归一化后的函数波束形成输出作为惩罚矩阵,计算其与加权矩阵的Hadamard积,调节加权矩阵中的导向向量;利用调节后的导向向量与互谱指数函数,计算惩罚函数波束形成输出,以此更新惩罚矩阵并实施迭代运算。通过惩罚迭代,可使点扩散函数接近狄拉克函数,改善空间分辨率性能。仿真和试验结果表明,所提算法的波束主瓣窄、旁瓣低,可有效解决函数波束形成算法空间分辨率不理想的问题。在压缩气体泄漏声源识别应用中,算法有效抑制了噪声干扰、缩减主瓣,表明其具有较好的工程应用前景。 展开更多
关键词 声源识别 函数波束形成 惩罚矩阵 互谱矩阵 归一化
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Impact of Different Spherical Harmonic Coefficients Structure on the Earth’s Gravity Field Recovery
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作者 Yong Su Bing-xin Li Xin-yu Xu 《Applied Geophysics》 2025年第4期1078-1093,1494,共17页
The global gravitational model can be expressed as a series of spherical harmonic coefficients computed up to a certain degree and order.The main ordering characteristic can depend on the degree,order,or type of coeff... The global gravitational model can be expressed as a series of spherical harmonic coefficients computed up to a certain degree and order.The main ordering characteristic can depend on the degree,order,or type of coefficient.When determining the spherical harmonic coefficients using the least squares method,it is essential to analyze the ordering pattern of these coefficients and their positions(e.g.,indices)in the vector or matrix.A systematic analysis on the type of coefficient arrangement is presented in this paper.Moreover,the index algorithm for each coefficient ordering pattern is provided.Additionally,the structure of the normal equation matrix with different coefficient arrangement patterns is analyzed.Based on the analysis and the algorithm presented in this paper:(1)we can calculate the index of each coefficient in the vector or matrix of the normal equation;(2)we can change the structure of the normal equation matrix of the Earth’s gravity field from one type of coefficient arrangement to another.Furthermore,(3)we can directly combine different structures of the normal equation matrix,calculated from different types of gravity satellite missions,to form combined normal equations.This approach is beneficial for the determination of Earth’s gravitational model using multi-type observation data. 展开更多
关键词 Gravitational model Spherical harmonic coefficients normal equation matrix Least squares
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