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Sparse linear array is prone to element failure affected by environmental and other factors in practical application, resulting in the decline of degrees of freedom and the attenuation or even failure of direction of arrival (DOA) estimation performance. To address this problem, a ternary redundant sparse array composed of three uniform linear arrays with different spacings at specific distances is designed, and the analytical expression of its degrees of freedom is derived. The configuration rules of the array are concise, and the difference coarrays of the array are hole-free. Mathematically proves that all virtual array elements can be covered with a weight of not less than 3 except the 4 farthest. The array has lower sensors importance and less generalized k-fragility. The array design takes into account the maximum degrees of freedom, redundancy and sparsity. In case of sensors failure, compared with the other sparse linear arrays, the array has more stable difference coarrays and higher uniform degrees

啮齿动物（Rodentia）是农牧交错区的主要有害动物类群之一，能传播多种疾病，严重威胁当地农牧业发展和人民群众健康。为探究环境因子与啮齿动物群落结构组成的关系，分别于2020年和2021年7—8月，在东北农牧交错带利用铗夜法调查草地、草地—农田交错区和农田3种生境类型中啮齿动物的种类和数量，室内测定调查点土壤和啮齿动物肾脏内的重金属含量。结果表明：捕获的717只啮齿动物包含10个种，优势种为黑线姬鼠（Apodemus agrarius），占捕获总个体数的44.35%；草地生境中啮齿动物的捕获率（14.88%）和群落多样性指数最高。冗余分析（RDA）结果表明，海拔、植被指数影响啮齿动物群落的优势度指数与丰富度指数；黑线仓鼠（Cricetulus barabensis）和黑线姬鼠的铗捕率以及啮齿动物的物种数和均匀度均受土壤重金属污染的影响。黑线仓鼠肾脏器官内重金属富集水平与土壤中重金属浓度呈显著正相关，随着土壤重金属污染的增加，黑线仓鼠的种群密度降低。

TP13; 针对冗余机械手运动学中存在的非线性、强耦合以及时变性的特点,采用了一种基于径向基函数(Radial Basic Function,RBF)网络的非线性拟合和系统辨识的方法,利用RBF神经网络的逼近能力较优、收敛速度快、非线性处理能力强等特点,可以有效地对冗余机械手的运动学逆问题进行求解；同时,运用遗传算法选取RBF网络的中心,提高网络的性能及效率；用Matlab实现对6自由度机械手运动学的建模、仿真.网络求解的结果表明了该方法的有效性.

介绍了CRC循环冗余校验基本原理及生成多项式表示，分别研究了嵌入式系统CRC-8-Dalias／Maxim与CRC-16-IBM生成多项式及其硬件描述．以DS18820器件的ROMID／Scratchpad数据校验及Modbus总线网络数据帧校验为例，通过对生成多项式及硬件描述的分析研究得出了基本比特型校验算法设计，在数学推导的基础上得出了其改进的比特型校验算法及单字节、半字节查表校验算法．为获得更高的校验速度，提出了一种基于块及多表的校验算法，比较了几种校验算法的ROM空间占用与校验处理速度．所设计的CRC校验程序为嵌入式系统数据的可靠传输提供了重要保证．

GM-CSF-producing helper T cells have previously been identified to serve a nonredundant function in the initiation of autoimmune inflammation. An article by Sheng et al. recently published by Cell Research now suggests that the differentiation program of GM-CSF-producing cells from naive CD4＋ T cells is distinct from that of Th1 and Th17 cells, and is regulated by the IL-7-STAT5 axis.

Distributed coordinated control of networked robotic systems formulated by Lagrange dynamics has recently been a subject of considerable interest within science and technology communities due to its broad engineering applications involving complex and integrated production processes, where high flexibility, manipulability, and maneuverability are desirable characteristics. In this paper, we investigate the distributed coordinated adaptive tracking problem of networked redundant robotic systems with a dynamic leader. We provide an analysis procedure for the controlled synchronization of such systems with uncertain dynamics. We also find that the proposed control strategy does not require computing positional inverse kinematics and does not impose any restriction on the self-motion of the manipulators; therefore, the extra degrees of freedom are applicable for other sophisticated subtasks. Compared with some existing work, a distinctive feature of the designed distributed control algorithm is that only a subset of followers needs to access the position information of the dynamic leader in the task space, where the underlying directed graph has a spanning tree. Subsequently, we present a simulation example to verify the effectiveness of the proposed algorithms.

Association rule mining methods, as a set of important data mining tools, could be used for mining spatial association rules of spatial data. However, applications of these methods are limited for mining results containing large number of redundant rules. In this paper, a new method named Geo-Filtered Association Rules Mining（GFARM） is proposed to effectively eliminate the redundant rules. An application of GFARM is performed as a case study in which association rules are discovered between building land distribution and potential driving factors in Wuhan, China from 1995 to 2015. Ten sets of regular sampling grids with different sizes are used for detecting the influence of multi-scales on GFARM. Results show that the proposed method can filter 50%–70% of redundant rules. GFARM is also successful in discovering spatial association pattern between building land distribution and driving factors.

This paper deals with the dynamics and control of a novel 3-degrees-of-freedom (DOF) parallel manipulator with actuation redundancy. According to the kinematics of the redundant manipulator, the inverse dynamic equation is formulated in the task space by using the Lagrangian formalism, and the driving force is optimized by utilizing the minimal 2-norm method. Based on the dynamic model, a synchronized sliding mode control scheme based on contour error is proposed to implement accurate motion tracking control. Additionally, an adaptive method is introduced to approximate the lumped uncertainty of the system and provide a chattering-free control. The simulation results indicate the effectiveness of the proposed approaches and demonstrate the satisfactory tracking performance compared to the conventional controller in the presence of the parameter uncertainties and un-modelled dynamics for the motion control of manipulators.

It is well known that hierarchies of mathematical programming formulatlons with different numbers of variables and constraints have a considerable impact regarding the quality of solutions obtained once these formulations are fed to a commercial solver. In addition, even if dimensions are kept the same, changes in formulations may largely influence solvability and quality of results. This becomes evident especially if redundant constraints are used. We propose a related framework for information collection based on these constraints. We exemplify by means of a well-known combinatorial optimization problem from the knapsack problem family, i.e., the multidimensional multiple-choice knapsack problem （MMKP）. This incorporates a relationship of the MMKP to some generalized set partitioning problems. Moreover, we investigate an application in maritime shipping and logistics by means of the dynamic berth allocation problem （DBAP）, where optimal solutions are reached from the root node within the solver.

In this paper, the H∞ control problem is investigated for a class of discrete-time switched linear systems with modal persistent dwell-time (MPDT) switching. The redundant channels are considered to use in the data transmission to benefit the capability of overcoming the fragility of networks commonly configured by a single channel in the communication networks subject to random packet losses. In light of a new class of Lyapunov functions, the desired observer-based quasi-time-dependent controllers, which have less conservatism than the time-independent ones, are designed such that the resulting closed-loop system is exponentially mean-square stable with a guaranteed H∞ disturbance attenuation performance. The MPDT can be minimized while ensuring the existence of such a class of observer-based controllers for a given period of persistence. An example of DC-DC boost converter is provided to verify the effectiveness of theoretical findings.