基于表观特征的单目视觉算法实现的注视方向估计

视线跟踪作为一种重要的人机接口模式,能够提供丰富的人机交互信息.提出了基于单目视觉的视线跟踪方法( Monocular Vision Approach,MVA).从眼部图像提取的表观特征,再经过支持向量回归( Support Vector Regression,SVR)计算实现可头部动作的注视方向估计.本方法仅用一个摄像机采集一副人脸图像作为输入数据,输出的计算结果是人的头部姿态和注视方向,以摄像机坐标系为参照系.采用的表观特征是基于方向二值模式( Directional Binary Pattern,DBP)算法,解析瞳孔在眼窝中运动引起的图像纹理变化.视线跟踪方法首先将双眼分割出来,并编码成高维的方向二值模式特征,最终通过支持向量回归作为匹配函数计算注视视角.共有11个人共23 676回归样本,按照姿态分成5个聚类集合.实验结果显示,基于本方法进行注视方向估计可以获得3°的测试误差.     

泽泻的组织培养研究

以泽泻的块茎茎尖为外植体,对泽泻进行离体培养研究.结果表明,泽泻茎尖诱导分化最适宜的启动培养基为MS＋6-BA 2.0 mg/L＋NAA 1.0 mg/L,芽体诱导分化率为84.77%;继代增殖最适宜的培养基为MS＋6-BA 2.0 mg/L＋NAA 0.2 mg/L,增殖系数为5.1;以1/2 MS＋IBA 0.2 mg/L＋NAA 0.4 mg/L培养基组合生根效果较好,生根率为91%.     

Low-Mach-number turbulence in interstellar gas revealed by radio polarization gradients

The interstellar medium of the Milky Way is multiphase, magnetized and turbulent. Turbulence in the interstellar medium produces a global cascade of random gas motions, spanning scales ranging from 100 parsecs to 1,000 kilometres (ref. 4). Fundamental parameters of interstellar turbulence such as the sonic Mach number (the speed of sound) have been difficult to determine, because observations have lacked the sensitivity and resolution to image the small-scale structure associated with turbulent motion. Observations of linear polarization and Faraday rotation in radio emission from the Milky Way have identified unusual polarized structures that often have no counterparts in the total radiation intensity or at other wavelengths, and whose physical significance has been unclear. Here we report that the gradient of the Stokes vector (Q, U), where Q and U are parameters describing the polarization state of radiation, provides an image of magnetized turbulence in diffuse, ionized gas, manifested as a complex filamentary web of discontinuities in gas density and magnetic field. Through comparison with simulations, we demonstrate that turbulence in the warm, ionized medium has a relatively low sonic Mach number, M(s)???2. The development of statistical tools for the analysis of polarization gradients will allow accurate determinations of the Mach number, Reynolds number and magnetic field strength in interstellar turbulence over a wide range of conditions.     

密云水库水体富营养化评价与防治

以北京密云水库监测获得的数据为例,按照层次分析法（AHP）的步骤建立适用于密云水库的AHP模型,并结合密云水库的自然地理环境和水文环境,对密云水库的水体富营养化程度进行科学评价。根据评价结果有针对性地对密云水库水体富营养化防治提出建议,为能够有效的遏制水库水体富营养化趋势,制定出合理方案,从而有效的消除污染隐患。     

基于多径瑞利衰落信道的非规则LDPC码分析性能

分析了在静态多径瑞利衰落信道上应用于正交频分复用技术的非规则LDPC码在相同的调制方式,不同的映射模式下的误码性能,并与规则LDPC码的性能作了比较,结果显示,在静态多径瑞利衰落信道上,不同的映射模式下,非规则LDPC码的误码性能均优于规则LDPC码的误码性能,非规则LDPC码在相同的调制方式下,格雷映射的误码性能优于自然映射的误码性能。     

制动鼓瞬态温度场有限元分析

利用有限元分析软件ANSYS8．1建立了制动鼓的三维有限元模型,对紧急制动工况下制动鼓的瞬态温度场进行分析计算,揭示出紧急制动工况下制动鼓内部温度场分布规律,以及制动过程中制动鼓内部温度随时间变化规律,可为进一步研究制动效能恒定以及客车制动器设计提供参考。     

光肩星天牛对糖槭挥发物的EAG及嗅觉行为反应

[目的]分析影响光肩星天牛定位寄主的糖槭挥发物成分,解析挥发物在光肩星天牛搜寻和定位寄主过程中的作用,为光肩星天牛的综合防控提供依据.[方法]利用热脱附气质联用法(thermal desorption gas chromatog-raphy-mass spectrometry,TCT-GC-MS)分析鉴定糖槭挥发物组分...     

自然资源强力开发地区企业集聚与区域竞争力研究

对传统区域发展理论进行了评价,指出其中存在着一定的问题:过分强调自上而下的方式、重视物质基础设施而忽视社会资本、重视区域发展外力而忽视区域的内部力量、重宏观轻微观、重发达区而忽视欠发达区等.在此基础上,提出自然资源强力开发区的相关研究在一定程度上可弥补上述缺陷,是探索人地关系较为理想的研究地域.接着分析了自然资源强力开发地区中企业集聚的优势,并指出创新网络是提升区域竞争力的有效途径.最后,从企业集聚的视角设计了区域竞争力的研究思路.     

基于正态分布区间数的概率测度及多属性决策

针对决策中采用均匀分布区间数描述模糊评价值的局限性,提出了应用正态分布区间数进行多属性决策的方法。分析了模糊数的可能性测度,通过概率分布特征量生成正态分布区间数,给出了基于正态分布区间数与一般模糊区间数的互换关系。由正态分布特性确定了正态分布区间数两个模糊算子,采用简化方法对模糊综合评判向量进行模糊集结。采用模糊随机仿真方法生成综合评估值,对统计结果采用模糊均值和方差的排序方法进行决策。实例计算表明了两种方法的有效性。     

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.