基于奇异值分解的脑电信号去噪方法

指出了对脑电观测数据进行去噪从而提取出诱发脑电信号是临床和实验中的前沿技术之一。目前常用的平均方法需要比较多的实验次数，为缩短实验次数需要采用一些新的技术和方法．对奇异值分解方法在脑电信号去噪中的应用进行了研究．提出了3种具体的去噪算法，并给出了应用这3种算法对具体的脑电测量数据进行噪声去除的实验结果．分析实验结果表明：奇异值分解方法对脑电信号进行去噪有助于减少提取诱发信号所需的实验次数．     

Production of transgenic mice carrying green fluorescence proteingene by a lentiviral vector-mediated approach

A pseudo-lentivirus, which carries green fluorescence protein (GFP) expressing cassette, was injected into the perivitelline space of murine fertilized oocytes before transplanting into the oviducts of the foster mothers. The GFP transgenic pups were then obtained. By PCR amplification, fluorescent microscopy and flow assisted cytometry sorting analysis, we found that the integration rate of the transgene was estimated at above 40%. Real-time PCR analysis indicated that the copy number of the integrated GFP cassette was around 40. Fluorescent in situ hybridization analysis demonstrated that the integration pattern was random but inheritable. The transgenic mice with multi-integration sites and various expression levels possessed a great value in practice as well as research. The approach reported herein provides an efficient way to generate and screen the transgenic mouse strains.     

RHIC能区粒子分布特征与中心度关系的研究

胶子饱和模型认为：随着高能重离子碰撞能量的升高,会出现胶子饱和现象,并给出了饱和胶子分布.进一步发展了胶子饱和模型,将胶子饱和与流体动力学时空演化结合起来,系统分析RHIC能区的粒子分布随中心度的变化关系.     

利用长周期MT数据研究沪浙地区深部断裂结构

利用新型GMS-06电磁观测系统对上海奉城-浙江湖州大地电磁探测剖面进行了实际数据采集,获得了较高质量长周期的观测数据,为沪浙地区深部电性和断裂结构研究提供了基础资料.开展了与断裂判断相关的视倾子特征响应的研究,通过模型试验和实测数据处理,从电性资料角度为断裂研究提供了新的信息和依据.通过对沪浙地区实测大地电磁剖面的偏移成像处理和反演,结合已有资料,推断了几条切割地壳的深大断裂的主体位置和性质,在深部电性和断裂结构上获得了新的认识.     

黄河灌区水热通量的观测与分析

为解决农田节水问题,进行了田间水热通量观测和水热耦合循环过程机制分析。观测系统主要包括:常规气象、辐射、涡度相关法观测系统以及土壤水分观测剖面。该系统能够连续和稳定地观测土壤-植物-大气连续体中的水热循环过程,涡度相关法观测数据具有与国际同类观测一致的精度。对2005年山东省位山引黄灌区冬小麦和夏玉米生长期内水热平衡的分析表明:当叶面积指数较大时潜热是农田能量消耗的主要方式;在冬小麦返青至收割期内作物耗水略小于供水,而在玉米生长期内供水远大于作物耗水,灌区供水充分。     

Test on Stochastic Block Model: Local Smoothing and Extreme Value Theory

In this paper, to obtain a consistent estimator of the number of communities, the authors present a new sequential testing procedure, based on the locally smoothed adjacency matrix and the extreme value theory. Under the null hypothesis, the test statistic converges to the type I extreme value distribution, and otherwise, it explodes fast and the divergence rate could even reach n in the strong signal case where n is the size of the network, guaranteeing high detection power. This method is simple to use and serves as an alternative approach to the novel one in Lei (2016) using random matrix theory. To detect the change of the community structure, the authors also propose a two-sample test for the stochastic block model with two observed adjacency matrices. Simulation studies justify the theory. The authors apply the proposed method to the political blog data set and find reasonable group structures.