~(51)Cr标记K562测定NK活性和临床初步应用

自然杀伤细胞(Natural Killer Cell以下简称NK细胞)是近年新发现的重要杀伤细胞之一。它不需抗体和补体的参加,也不要抗原的刺激,就能起细胞毒作用,很快杀伤靶细胞。NK细胞与肿瘤、移植的排斥反应、抗感染和许多自身免疫疾病相关,因此更受临床医师的重视及注意。 NK活性的测定方法,目前常采用K562(慢性髓母细胞性白血病建株细胞)作为靶细胞。本文报告采用三种靶细胞(K562、Hela和7405肝癌细胞)用外周末稍血的淋巴细胞作为效应细胞测定NK活性,临床应用于肺癌、食道癌和白血病,测定结果如下:     

A system for aligning video-recorded visual data and high-quality multichannel recordings of simultaneously occurring signals

An electronic circuit is described which provides a unique number for each video frame, and which is superimposed on the frame as a 4-digit light-emitting diode display using a second camera and videomixer. The number is also encoded as a simple voltage waveform which is recorded separately together with electrical signals giving information about events related to, and coincident with, the visual data, for example nerve spike trains. Sophisticated computer analysis of signals can thus be related accurately to microscopical visual information processed by video analysis.     

阳极更换及铝液高度对电解槽内铝液流速场的影响

采用k-∈二方程法和SIMPLE算法对190 kA大型预焙阳极铝电解槽分别在槽况较为理想、更换阳极、炉底存在结壳、不同铝水平以及阳极长包情况下的铝液流速场进行了三维计算.结果表明:电解槽中金属铝液主要表现为水平流动,但在槽边部也表现出明显的垂直方向流动;在理想槽况下,铝液中最大水平流速为11.9 cm/s,平均流速为3.5 cm/s;换极、炉底结壳和阳极长包时,在相应位置的铝液中出现显著的环行流动,铝液流动形式发生变化;换极时铝液最大流速(为13.1 cm/s)较理想槽况有较大增加,但平均流速变化不大;炉底存在较小结壳时,铝液流速增加不大;阳极长包时,铝液流速则大大增加,最大水平流速达24 cm/s,而当铝水平适当降低,铝液流动形式和流速未发生明显变化.     

Comparison between several seismic inversion methods and their application in mountainous coal fields of western China

With the objective of establishing the necessary conditions for 3D seismic data from mountainous areas in western China, we compared the application results of wave impedance technology in the lithology and exploration of coal fields. First, we introduce principles and features of three kinds of inversion methods, i.e., Model-Based Inversion, Constrained Sparse Spike Inversion(CSSI)and Geology-Seismic Feature Inversion. Secondly, these inversion methods are contrasted in their application to 3D seismic data from some coalfields in western China. The main information provided by the research includes: improving the vertical resolution of coal deposit strata, inferring lateral variation of the lithology and predicting coal seams and their roof lithology. Finally, the comparison between the three methods shows that the model-based inversion has the higher resolution, while CSSI inversion has better waveform continuity. The geology-seismic feature inversion requires information from a large number of wells and many types of logging curves of good quality. All three methods can meet the requirements of seismic exploration for lithological exploration in coal fields.     

微电极阵列神经元锋电位信号的去噪方法

为了去除神经细胞外单细胞动作电位(即锋电位)记录信号中的各种噪声,提高幅值很小的单细胞锋电位信号检测的正确性,根据多通道微电极阵列记录信号中各个通道之间噪声空间相关性较强的特点,提出主成分分析(PCA)去噪与小波阈值去噪相结合的联合去噪方法.采用PCA方法提取并去除多通道记录信号中相关噪声的第一主成分,然后将信号进行小波多尺度分解,采用软阈值法去除各尺度下的噪声.仿真数据和测试结果表明,联合去噪方法可以同时去除有色噪声和白噪声,在各通道锋电位序列相互独立而噪声相关性较强的情况下,可以显著提高锋电位信号的信噪比.联合去噪方法的性能明显优于PCA去噪方法和小波阈值去噪方法单独使用时的性能,是一种有效的多通道锋电位信号去噪新方法.     

A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture

Rolling element bearings are widely used to support rotating components of a machine. Due to close space locations of components in the machine, a vibration signal caused by bearing localized defects is easily overwhelmed by other strong vibration signals. Extracting the bearing fault signal from a multi-component signal mixture is thus significant to detect early bearing fault features and prevent machine breakdown. In this paper, a bearing fault diagnosis method, named cyclic spike detection method, is proposed to extract the weak bearing fault features from a multi-component signal mixture. Firstly, the optimal center frequency and bandwidth of a complex Morlet wavelet filter are determined by a simplex-simulated annealing algorithm along with a maximum sparsity objective function. The filtered signal is then obtained by applying the optimal wavelet filter to the multi-component signal mixture. After that, a new adaptive local maximum selection method is proposed to make the filtered signal succinct. Only a few spikes are retained to reveal potential cyclic intervals caused by bearing localized defects. Two multi-component signal mixtures, including a simulated signal and a real vibration signal collected from an industrial machine, are used to validate the effectiveness of the proposed cyclic spike detection method. The results demonstrate that the proposed method can extract the weak bearing fault features from other strong masking vibration signals and noise.     

Android恶意软件的人工自然杀伤细胞检测模型

针对现有Android恶意软件检测方法中存在的特征分析单一和固定化、对未知和潜伏性强的恶意软件检测能力弱等问题,构建一种Android恶意软件的人工自然杀伤细胞（Natural Killer cell,NK）检测模型。对人工自然杀伤细胞模型和树突状细胞算法（Dendritic Cell Algorithm,DCA）进行了研究,结合软件静态权限申请特征和动态API调用特征,经数据预处理后形成模型的各类输入信号。人工NK细胞输出刺激因子与DCA危险信号融合,提高了DCA的危险信号显著性,优化了DCA的检测过程。实验包含从VirusTotal等数据集选取的多种分类恶意软件样本1 150个,良性软件样本1 093个。实验结果表明与DCA和[K]-means等检测方法相比人工NK细胞检测模型提高了准确率并且降低了误报率。     

多电极锋电位信号检测与分类方法研究

神经元锋电位活动的检测和分类是对大脑功能多方面研究的前提，由于大量的背景噪声和叠加锋电位信号的存在，使得精确检测和辨别这些神经元锋电位活动非常困难，因此需要深入的研究。本文归纳和总结了现有各种多电极锋电位信号检测与分类方法以及存在的问题，在分析其优缺点的基础上，探讨了锋电位信号分类方法中值得进一步研究的问题和发展方向。     

加标回收实验方案探讨

根据作者多年的实际工作经验,总结出加标回收实验应遵循的5项一般原则,以及加标回收实验方案确立的基本思路。用水产饲料检测加标回收的实例讨论验证了方案确立原则的实用性。