A STAGE-STRUCTURED SI ECO-EPIDEMIOLOGICAL MODEL WITH TIME DELAY AND IMPULSIVE CONTROLLING*

This paper formulates a robust stage-structured SI eco-epidemiological model with periodic constant pulse releasing of infectious pests with pathogens. The authors show that the conditions for global attractivity of the ＇pest-eradication＇ periodic solution and permanence of the system depend on time delay, hence, the authors call it ＂profitless＂. Further, the authors present a pest management strategy in which the pest population is kept under the economic threshold level （ETL） when the pest population is uniformly persistent. By numerical analysis, the authors also show that constant maturation time delay for the susceptible pests and pulse releasing of the infectious pests can bring obvious effects on the dynamics of system.     

Interaction model of artificial fish in virtual environment

Conventional artificial fish has some shortages on the interaction with environment, other fish, and the animator. This article proposes a multi-tier interaction control model of artificial fish, realizes the interaction model through integration of virtual reality technology and Markov sequence, and provides a virtual marine world to describe the interaction between artificial fish and the virtual environment and the interaction between the artificial fish and the animator. Simulation results show that the interaction model owns not only the basic characteristics of virtual biology, but also has high trueness interaction function.     

The neuronal sortilin-related receptor SORL1 is genetically associated with Alzheimer disease

The recycling of the amyloid precursor protein (APP) from the cell surface via the endocytic pathways plays a key role in the generation of amyloid beta peptide (Abeta) in Alzheimer disease. We report here that inherited variants in the SORL1 neuronal sorting receptor are associated with late-onset Alzheimer disease. These variants, which occur in at least two different clusters of intronic sequences within the SORL1 gene (also known as LR11 or SORLA) may regulate tissue-specific expression of SORL1. We also show that SORL1 directs trafficking of APP into recycling pathways and that when SORL1 is underexpressed, APP is sorted into Abeta-generating compartments. These data suggest that inherited or acquired changes in SORL1 expression or function are mechanistically involved in causing Alzheimer disease.     

Nodal signals pattern vertebrate embryos

Vertebrate embryonic patterning requires several conserved inductive signals–including Nodal, Bmp, Wnt and Fgf signals. Nodal, which is a member of the transforming growth factor β (TGFβ) superfamily, activates a signal transduction pathway that is similar to that of other TGFβ members. Nodal genes, which have been identified in numerous vertebrate species, are expressed in specific cell types and tissues during embryonic development. Nodal signal transduction has been shown to play a pivotal role in inducing and patterning mesoderm and endoderm, and in regulating neurogenesis and left-right axis asymmetry. Antagonists, which act at different steps in the Nodal signal transduction pathway, have been shown to tightly modulate the inductive activity of Nodal. Received 20 October 2005; received after revision 15 November 2005; accepted 25 November 2005     

高频雷达中LFMCW信号的分析

高频雷达在现代战争和民用事业上发挥着越来越重要的作用 ,线性调频连续波 ( L FMCW)信号是高频雷达常采用的信号形式。就 L FMCW信号在高频雷达中的应用作了具体分析 ,并导出了其差频相位的具体表达式 ,它表现出了要检测的各量的物理意义 ,对检测的方法提供了理论依据。在此基础上 ,利用二维 FFT处理技术对目标回波信号的信息提取进行了仿真 ,并对仿真结果进行了分析     

框架柱两类二阶效应的综合单元刚度矩阵

本文首先对P-δ效应,P-△效应与二阶效应从定义上加以区分,并以悬臂柱为例说明,然后以框架柱为例,分别推出了反映二者影响的单元刚度矩阵．     

基于多尺度特征融合的超分辨率重建算法研究

超分辨率重建技术可以提高图像质量,使原图像具有更丰富的细节信息。针对现有的超分辨率重建算法存在提取特征单一、不利于对图像信息进一步提取的问题,提出了一种基于多尺度特征融合的超分辨率重建算法。采用多特征提取模块获取更多浅层信息,并在网络中添加密集连接结构,增强特征的传播,减少相关参数计算,减轻梯度消失问题。在Set5和Set14基准数据集上进行了测试,并在电力巡检数据集上进一步验证了算法的有效性。与主流的超分辨率重建方法进行了对比,实验结果表明,该方法生成的图像有更加丰富的细节信息,能够有效地改善图像质量,峰值信噪比与结构相似度值较其他主流算法均有一定的提高。     

基于YOLOv5l和ViT的交通标志检测识别方法

随着交通行业的发展,交通标志检测识别成为了辅助驾驶系统中最热门的研究方向之一。在实际行车道路中,交通标志具有目标小且类别繁多的特点,针对现有检测与识别算法难以同时兼顾准确度和速率的问题,提出一种YOLOv5l(you only look once version 5l)与视觉转换器(vision transformer, ViT)结合的检测与识别方法。首先采用YOLOv5l对目标进行检测,得出交通标志的位置信息,再将其输入ViT进行分类识别,其中特征连接部分引入DenseNet网络模块,来实现原始特征和卷积后特征映射的密集连接,加强特征的传递性,提高识别率。结果表明：在GTSDB和GTSRB数据集上实验效果更佳,交通标志检测速率达到20 ms,准确率达到98.78%,相比全连接层识别准确率提高了约4%。     

不同环境温度下的织物芯输送带压陷滚动阻力仿真研究

随着带式输送机绿色节能要求的提高,如何有效减小压陷滚动阻力成为重要课题。为研究环境温度对带式输送机压陷滚动阻力的影响规律,并克服实际工程数据检测难这一困难,提出了一种围绕环境温度的有限元仿真方法。以织物芯带式输送机为研究对象,通过SolidWorks建立三维模型,之后利用ANSYS Workbench有限元分析软件开展在不同环境温度下的压陷滚动阻力仿真研究,其中使用Mooney-Rivlin的两参数模型定义输送带覆盖层材料。结果表明,环境温度的升高使得压陷滚动阻力逐渐减小。研究结果为带式输送机绿色节能提供了依据。     

白鹤滩库区小坝组泥岩崩解特性及边坡破坏机制

降雨与库水位变动引起的干湿循环作用是导致库岸边坡破坏的关键因素之一。为了探究白鹤滩水电站库区蓄水后边坡的长期稳定性,以小坝组红层软岩为例,采用X射线衍射技术、扫描电镜技术及耐崩解仪,研究了干湿循环作用下红层软岩微结构演化机理及其崩解特性,并结合数值模拟方法与不同现场案例,分析了白鹤滩库区边坡的破坏机制。结果表明,干湿循环影响下的黏土矿物溶胀压力是导致岩体结构中孔-裂隙产生的关键因素;小坝组泥岩耐崩解性指数随着崩解循环次数增加具有指数变化规律,且泥岩比砂岩呈现了更强的崩解特性;砂岩与泥岩互层边坡在干湿循环作用下,因泥岩崩解产生了空腔以及贯通的裂隙,导致库区左岸的顺向坡易形成滑移—拉裂式破坏,库区右岸逆向坡易产生塑流—拉裂式破坏。本文从微-细-宏观等角度出发,多尺度地探究了小坝组岩质边坡的破坏机制,为白鹤滩重大水电工程建设的灾害防治工作提供理论指导。