双满壳层附近原子核的双粒子能谱

采用由M-3Y力等效G矩阵,用格林函数方法对Ca42、Sc42、N i58和Cu58的双粒子能谱做了理论计算和讨论.结果表明:二级图中3p1h不可约顶角考虑多重散射后,使能级更趋于实验能级.因此用格林函数方法计算双粒子能谱是十分有效的。     

Upregulation of erythropoietin receptor in UT-7/EPO cells inhibits simulated microgravity-induced cell apoptosis

Hematopoietic progenitor cell proliferation can be altered in either spaceflight or under simulated microgravity experiments on the ground, however, the underlying mechanism remains unknown. Our previous study showed that exposure of the human erythropoietin (EPO)-dependent leukemia cell line UT-7/EPO to conditions of simulated microgravity significantly inhibited the cellular proliferation rate and induced cell apoptosis. We postulated that the downregulation of the erythropoietin receptor (EPOR) expression in UT-7/EPO cells under simulated microgravity may be a possible reason for microgravity triggered apoptosis. In this paper, a human EPOR gene was transferred into UT-7/EPO cells and the resulting expression of EPOR on the surface of UT-7/EPO cells increased approximately 61% (p < 0.05) as selected by the antibiotic G418. It was also shown through cytometry assays and morphological observations that microgravity-induced apoptosis markedly decreased in these UT-7/EPO–EPOR cells. Thus, we concluded that upregulation of EPOR in UT-7/EPO cells could inhibit the simulated microgravity-induced cell apoptosis in this EPO dependent cell line.     

互相关函数在窄槽对中上的应用研究

不等距的窄槽载正加工是机械加工的难题之一。文中采用了电涡流传感器来采集窄槽的位置信号，利用信号边沿部分对称的特点，采用了“倒序列相关”的方法 用倒序信号与原信号进行互相关分析，充分利用了信号的全过程，滤除了信号中的随机成分，精确地求得窄槽的中心位置。试验的结果与理论研究基本相符，表明此方法具有实用价值。     

低频靶标法测量CCD相机调制传递函数的仿真

基于用高频靶标法测试调制传递函数（MTF）时不能准确地体现出CCD器件的平均采样的情况。该文探讨用低频靶标法测试MTF，介绍它的原理；通过数字仿真CCD的光学镜头的模糊和采样平均过程，分析不同频率靶标的MTF测试结果，并分析相位造成的影响。     

整顿市场秩序与转变政府职能

良好的市场秩序是发展社会主义市场经济的应有之义。我国目前市场秩序混乱的深层次原因是一些地方政府职能的“错位”与“缺失”并存 ,因此 ,只有调整与转换政府职能 ,才能为市场秩序的根本好转提供制度保障。     

移动代理(MA)综述

随着网络规模的日益扩大，如何保证网络管理系统的可扩展性和高效率性已成为网络管理人员迫切需要解决的问题。移动代理技术是新型的分布计算技术，具有很好的应用前景。移动代理系统是实现移动代理应用的基础框架。文章简述了移动代理(mobile agent)的定义和特点、代理的分类及移动代理的实现语言、以及移动的分类和移动机制；还提出了移动代理的特有技术优势，并对其发展前景进行了展望。文章在论述移动代理系统基本组成的同时，对IBM的移动代理平台aglet系统进行了介绍。     

启发式民用飞机机队规划

从一般形式的整形机队规划模型出发，指出其中整型飞机架数的实质含义，进而提出一种新的机队规划模型，它由“航班频率计划”和“机队－航班系统调整”两个子模型构成，反映我国国情并能处理大规模问题，得到整数型机队和相应的整型航班数计划，着重介绍了目标函数的构造，隐枚举模型求解和系统调整的启发式方法等。     

Walsh相关函数的研究

研究了既有波形畸变又有时间位移时的Ｗａｌｓｈ互相关函数，并在Ｈａｒｎｕｔｈ ＨＦ给出的Ｗａｌｓｈ互相关函数误差矩阵定性结果的基础上进一步给出了定量结果，依据这个结果，提出了选择Ｗａｌｓｈ副载波的原则。     

关于ОШКИН的一个定理

本文研究了全纯函数族的正规性,得到如下结果: 定理1 设为区域D上的一族全纯函数,n,k(k≥2)为两正整数,占为非零有穷复数,a_1(z),a_2(z),…,a_k(z)均在D内全纯。若对中每一个函数f(z)均有:(1)f(z)的零点重数≥k;(2)f~n(z){f~((k))(z)+a_1(z)f~((k-1))(z)+…a_k(z)f(z)}≠b,则在D正规。     

Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network

The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and conducting fault diagnosis. In the past, the airlines could not obtain deviations autonomously. At present, a data-driven method based on an aero-engine dataset with a large sample size can be utilized to obtain the deviations. However, it is still difficult to utilize aero-engine datasets with small sample sizes to establish regression models for deviations based on deep neural networks. To obtain monitoring autonomy of each aero-engine model, it is crucial to transfer and reuse the relevant knowledge of deviation modelling learned from different aero-engine models. This paper adopts the Residual-Back Propagation Neural Network (Res-BPNN) to deeply extract high-level features and stacks multi-layer Multi-Kernel Maximum Mean Discrepancy (MK-MMD) adaptation layers to map the extracted high-level features to the Reproduce Kernel Hilbert Space (RKHS) for discrepancy measurement. To further reduce the distribution discrepancy of each aero-engine model, the method of maximizing domain-confusion loss based on an adversarial mechanism is introduced to make the features learned from different domains as close as possible, and then the learned features can be confused. Through the above methods, domain-invariant features can be extracted, and the optimal adaptation effect can be achieved. Finally, the effectiveness of the proposed method is verified by using cruise data from different civil aero-engine models and compared with other transfer learning algorithms.