关于新的社会阶层与统一战线工作的研究

随着改革的深化和社会主义市场经济的发展。我国经济社会结构发生了深刻变化。新的社会阶层和利益群体不断涌现。这就要求新时期统一战线工作结合新的历史条件，认清新社会阶层的基本情况。准确把握统一战线及统一战线工作的涵义．在不断巩固工农联盟的基础上，积极探究团结新的社会阶层的正确模式和方法。以便于为社会主义建设服务。创建社会主义和谐社会。     

频谱重叠信号分离的循环平稳算法

利用信号的循环平稳性研究了分离频谱重叠信号的算法,并以直接序列扩频系统为例进行了性能分析.该算法在接收端设置了频移滤波器,以便同时利用信号的时间相关性及频谱相关性来实现信号的分离.通过对循环平稳性和频谱相关性的分析,得出了频移滤波器的结构并采用自适应算法确定多个频移分量的最优权值.仿真结果表明,该算法可有效分离频谱重叠信号,在大干扰功率时,误码率与时域滤波器和简单直扩系统比较均低约2个数量级.     

Innate antimicrobial peptide protects the skin from invasive bacterial infection.

In mammals, several gene families encode peptides with antibacterial activity, such as the beta-defensins and cathelicidins. These peptides are expressed on epithelial surfaces and in neutrophils, and have been proposed to provide a first line of defence against infection by acting as 'natural antibiotics'. The protective effect of antimicrobial peptides is brought into question by observations that several of these peptides are easily inactivated and have diverse cellular effects that are distinct from antimicrobial activity demonstrated in vitro. To investigate the function of a specific antimicrobial peptide in a mouse model of cutaneous infection, we applied a combined mammalian and bacterial genetic approach to the cathelicidin antimicrobial gene family. The mature human (LL-37) and mouse (CRAMP) peptides are encoded by similar genes (CAMP and Cnlp, respectively), and have similar alpha-helical structures, spectra of antimicrobial activity and tissue distribution. Here we show that cathelicidins are an important native component of innate host defence in mice and provide protection against necrotic skin infection caused by Group A Streptococcus (GAS).     

多传感器阵列信号的分布式恒虚警检测

对于均匀Gauss背景中的Swerlling II型起伏目标的多传感器分布式恒虚警检测,为了充分利用阵列雷达接收信号间的相位关系,采用了相干检波信号处理方式.针对局部检测统计量信息量大,通信带宽小的特点,结合实际检测中信号强度未知等困难,提出了广义似然比恒虚警(GLR-CFAR)局部处理算法.仿真结果表明,该检测方式性能接近最优性能,传感器积累对信噪比改善明显,达到3～7 dB, 提高小信号目标的检测概率,且具有实现简单的优点.因此,此方法适合用于多雷达检测场合.     

用FOT概率模型提取循环平稳信号的周期成分

运用概率和度量空间等距同构的理论,对FOT概率模型进行了推导,然后将二阶FOT概率模型运用于循环平稳信号的周期成分提取中,并进行了改进.利用FOT概率的循环谱,实现周期成分提取,并将这种改进的周期成分提取操作运用于通信信号的载波频率和符号速率的提取中,实验结果表明,该方法能准确获取循环平稳信号的周期频率.     

基于加权递推最小二乘法的微硬盘伺服信号滤波

针对微硬盘伺服信号的滤波问题,采用了一种加权递推最小二乘法.该算法使用最小二乘加权时间平均准则取代通常的最小均方误差准则,并利用该准则导出权向量的自适应迭代公式,算法保证在每步迭代运算中权值都能调整到最佳,同时降低了权值调整量对噪声的敏感程度.实验结果表明:该算法滤波效果好、抗噪能力强、稳态收敛精度高和收敛速度快,适用于诸如微硬盘驱动器之类对收敛速度及消噪要求较高的场合.     

Release of invasive plants from fungal and viral pathogens

Invasive plant species both threaten native biodiversity and are economically costly, but only a few naturalized species become pests. Here we report broad, quantitative support for two long-standing hypotheses that explain why only some naturalized species have large impacts. The enemy release hypothesis argues that invaders' impacts result from reduced natural enemy attack. The biotic resistance hypothesis argues that interactions with native species, including natural enemies, limit invaders' impacts. We tested these hypotheses for viruses and for rust, smut and powdery mildew fungi that infect 473 plant species naturalized to the United States from Europe. On average, 84% fewer fungi and 24% fewer virus species infect each plant species in its naturalized range than in its native range. In addition, invasive plant species that are more completely released from pathogens are more widely reported as harmful invaders of both agricultural and natural ecosystems. Together, these results strongly support the enemy release hypothesis. Among noxious agricultural weeds, species accumulating more pathogens in their naturalized range are less widely noxious, supporting the biotic resistance hypothesis. Our results indicate that invasive plants' impacts may be a function of both release from and accumulation of natural enemies, including pathogens.     

热轧窄带钢辊缝预设及头尾厚差预报

在实测的基础上得到了适于窄带热轧生产线的辊缝预报模型。经生产性试验表明，本研究给出的辊缝预设值与现场实测非常接近，将其作为控制窄带精度的手段，可取代目前对人工经验“试调”的依赖，具有重要的实际应用价值；对轧件头尾厚度差的计算不但考虑了奥氏体再结晶软化程度对轧机负荷的影响，还考虑了轧辊弹性压扁与轧制压力的耦合对压力及辊缝的综合影响，从而显著提高了带钢头尾厚差的预报效果。这对控制带钢的通条尺寸、提高产品精度具有重要意义。     

热轧窄带钢辊缝预设及头尾厚差预报

在实测的基础上得到了适于窄带热轧生产线的辊缝预报模型.经生产性试验表明,本研究给出的辊缝预设值与现场实测非常接近,将其作为控制窄带精度的手段,可取代目前对人工经验"试调"的依赖,具有重要的实际应用价值;对轧件头尾厚度差的计算不但考虑了奥氏体再结晶软化程度对轧机负荷的影响,还考虑了轧辊弹性压扁与轧制压力的耦合对压力及辊缝的综合影响,从而显著提高了带钢头尾厚差的预报效果.这对控制带钢的通条尺寸、提高产品精度具有重要意义.     

基于匹配追踪的导波检测信号缺陷识别方法

提出动态微分进化算法（MDDE）并将其应用于匹配追踪.采用磁致伸缩导波检测仪器对含有不同尺寸缺陷的钢管进行检测,利用匹配追踪方法对检测信号进行处理,结果发现从处理后的信号中能够方便地识别缺陷信号.计算了匹配所得的导波信号剩余量的均方值,绘制了剩余信号的均方值下降趋势曲线,根据均方值曲线的不同来判别管道缺陷的大小,实现钢管缺陷大小定量化.