An integrating current transformer for fast extraction from the HIRFL-CSR main ring

For any experiment that uses the beam of an accelerator, monitoring the beam intensity is always art important concern. It is particularly useful if one can continuously measure the beam current without disturbing the beam. We report here on test experiments for an Integrating Current Transformer (ICT) used to measure fast extraction beams from the HIRFL-CSR main ring (CSRm). The laboratory tests and beam intensity measurement results are presented in this paper. The influence of the kicker noise is also analyzed.

辐射交联生产线及其计算机控制系统

本文基于四川电缆厂和大原辐射防护研究院两条辐射交联生产线及其计算机控制系统的研制工作。在简要介绍辐射交联工艺的基础上，着重描述了生产线的微机控制系统。以GJ-2型加速器为辐射源的四川线以PC/XT微机及HY系列I/O接口板构成微机测控系统硬件，以CCPM/86实时并发操作系统以及HYBASIC实时多任务语言作为软件编程环境，系统结构采用了PC内总线结构。在此基础上，对以ELV-8 ICT型加速器为辐射源的太原线，开发出以工控机SC386DX为核心的微机控制系统；并在DOS 3.3操作系统的基础上，研制出以 Turbo C 2.0 及 80386 汇编语言联合编程的控制软件，从而使辐射交联生产线微机控制系统的性能得到显著提高

基于信息重建技术的地震信号处理方法研究

The dissertation addressed the problems of signals reconstruction and data restoration in seismic data processing, which takes the representation methods of signal as the main clue, and take the seismic information reconstruction (signals separation and trace interpolation) as the core. On the natural bases signal representation, I present the ICA fundamentals, algorithms and its original applications to nature earth quake signals separation and survey seismic signals separation. On determinative bases signal representation, the paper proposed seismic dada reconstruction least square inversion regularization methods, sparseness constraints, pre-conditioned conjugate gradient methods, and their applications to seismic de-convolution, Radon transformation, et. al. The core contents are about de-alias uneven seismic data reconstruction algorithm and its application to seismic interpolation. Although the dissertation discussed two cases of signal representation, they can be integrated into one frame, because they both deal with the signals or information restoration, the former reconstructing original signals from mixed signals, the later reconstructing whole data from sparse or irregular data. The goal of them is same to provide pre-processing methods and post-processing method for seismic pre-stack depth migration. ICA can separate the original signals from mixed signals by them, or abstract the basic structure from analyzed data. I surveyed the fundamental, algorithms and applications of ICA. Compared with KL transformation, I proposed the independent components transformation concept (ICT). On basis of the ne-entropy measurement of independence, I implemented the FastICA and improved it by covariance matrix. By analyzing the characteristics of the seismic signals, I introduced ICA into seismic signal processing firstly in Geophysical community, and implemented the noise separation from seismic signal. Synthetic and real data examples show the usability of ICA to seismic signal processing and initial effects are achieved. The application of ICA to separation quake conversion wave from multiple in sedimentary area is made, which demonstrates good effects, so more reasonable interpretation of underground un-continuity is got. The results show the perspective of application of ICA to Geophysical signal processing. By virtue of the relationship between ICA and Blind Deconvolution , I surveyed the seismic blind deconvolution, and discussed the perspective of applying ICA to seismic blind deconvolution with two possible solutions. The relationship of PC A, ICA and wavelet transform is claimed. It is proved that reconstruction of wavelet prototype functions is Lie group representation. By the way, over-sampled wavelet transform is proposed to enhance the seismic data resolution, which is validated by numerical examples. The key of pre-stack depth migration is the regularization of pre-stack seismic data. As a main procedure, seismic interpolation and missing data reconstruction are necessary. Firstly, I review the seismic imaging methods in order to argue the critical effect of regularization. By review of the seismic interpolation algorithms, I acclaim that de-alias uneven data reconstruction is still a challenge. The fundamental of seismic reconstruction is discussed firstly. Then sparseness constraint on least square inversion and preconditioned conjugate gradient solver are studied and implemented. Choosing constraint item with Cauchy distribution, I programmed PCG algorithm and implement sparse seismic deconvolution, high resolution Radon Transformation by PCG, which is prepared for seismic data reconstruction. About seismic interpolation, dealias even data interpolation and uneven data reconstruction are very good respectively, however they can not be combined each other. In this paper, a novel Fourier transform based method and a algorithm have been proposed, which could reconstruct both uneven and alias seismic data. I formulated band-limited data reconstruction as minimum norm least squares inversion problem where an adaptive DFT-weighted norm regularization term is used. The inverse problem is solved by pre-conditional conjugate gradient method, which makes the solutions stable and convergent quickly. Based on the assumption that seismic data are consisted of finite linear events, from sampling theorem, alias events can be attenuated via LS weight predicted linearly from low frequency. Three application issues are discussed on even gap trace interpolation, uneven gap filling, high frequency trace reconstruction from low frequency data trace constrained by few high frequency traces. Both synthetic and real data numerical examples show the proposed method is valid, efficient and applicable. The research is valuable to seismic data regularization and cross well seismic. To meet 3D shot profile depth migration request for data, schemes must be taken to make the data even and fitting the velocity dataset. The methods of this paper are used to interpolate and extrapolate the shot gathers instead of simply embedding zero traces. So, the aperture of migration is enlarged and the migration effect is improved. The results show the effectiveness and the practicability.

北京市中学生考试焦虑状况及其相关因素分析

In order to analyze the test anxiety of Beijing's high school students, relevant factors affecting test anxiety and how those factors have effect on the test anxiety of those high school students, a cross-sectional study had been conducted among 2,089 students randomly selected from 15 high schools in Beijing, using the Test Anxiety Scale（TAS）, Parenting Style Scale (PSS) and Academic Aggregate Graphic (AAG). Five months later, 194 students from one of those high schools were retested with TAS with students remaining anonymous. In the retest, the classes and birth dates of those students were strictly matched. This paper is composed of three parts to examine the issue. The first part examines the test anxiety among high school students in Beijing and establishes the model; the second part conducts a comparative study of issues related to test anxiety and academic performance; the third part examines the factors affecting test anxiety and establishes the model. Results showed that: 1. The reliability and validity of TAS are satisfied and can meet survey requirement. The 25-item version of TAS turned out to have equal or even better performance compared with the original 37-item version. 2. Incidence of test anxiety in high schools of Beijing: 57.9 percent of samples have an overall score at or higher 15. 55 percent of male student samples have a score at or higher than 15 while that for female student samples is 61 percent. A score of 20 refers to fairly serious test anxiety and 31.9 percent of samples have a score over 20. 28.1 percent of the male student samples have a score of over 20 while that for female student samples is 35.9 percent. 3. The effect of grade and sex and the interaction between the two factors are statistically significant. Female students have higher test anxiety than male students and the level of test anxiety varies from grade to grade. 4. Samples are divided into two groups, one with test anxiety and the other without. The academic performance gap between the two groups is very significant. There is a significant negative correlation between academic score and test anxiety. 5. There is a negative correlation between test anxiety and mastery goal orientation and a positive correlation between test anxiety and performance goal orientation. Students with higher academic self-efficiency have lower test anxiety. The more one thinks study is valuable, the lower his/her test anxiety is. Those whose parents communicate smoothly with them have lower test anxiety. Those whose parents have an inconsistent communication style have higher test anxiety. 6. Achievement goal is mediate variable for the effect of lack of values on test anxiety. 7. The indirect effect of introduction of achievement goal and parenting style, including communication, monitoring and communication consistence, on test anxiety is significant. Key words: Test anxiety，reliability, validity, self-efficiency，parenting style，achievement goal orientation, academic values, academic score

幼儿分类能力发展及促进的实验研究

Classification is a kind of basic cognitive process, and category is an important way for human beings to define the world. At the same time, categories are organized in a hierarchical way, which makes it possible for human beings to process information efficiency. For those reasons, the development of classification ability is always one of the foci in developmental psychology. By using the methods of spontaneous and trained classification of both familiar stimuli materials and artificial concepts, this research explored the 4-6 year old children's classification criteria. And by the artificial concept system formed in these classification criteria experiments, the mastery degree of class hierarchy in these young children was analyzed. The main results and conclusions are: 1) The classification ability increases quickly among kindergarteners from 4 to 6 year old: the 4 year old children seemed unable to classify objects by classificatory criteria, however, the 6 year ones had shown the ability in many experimental conditions. But the main basis of classificatory criteria in these young children, including 6 year old ones, was the functional relation of the objects but the conceptual relations, and their classification criteria was not consistent because they seem to be easily affected by experimental conditions. 2) The age of 5 is a more sensitive period of classification ability development: for the children of 5 year old, it was found that their classification ability was easily enhanced by training. The zone of proximal development in classification ability by category standard could probably lie in this period of age. 3) Knowledge is an important factor that affects young children's classification ability, meanwhile, their classification activity are affected by cognitive processing ability: young children exhibited different classification ability as they had different understanding of stimuli materials. Kindergarteners of different age were significantly different in their classification ability as the difference in cognitive processing ability, even if they had the same knowledge about the stimuli materials. 4) Different properties of class hierarchy are different in difficulty for young children: the 5-6 year old children showed that the could master the transitivity of the class hierarchy. No matter under what learning condition, they could answer most of the transitivity questions correctly and infer the property of the sub-class according to that of the super-class. The young children at 5-6 years old had mastered the branching property of class hierarchy at a relative high level, but their answers were easily affected by the hints in the questions. However, it seemed that the asymmetry of class hierarchy was difficult for young children to learn. Because young children could not understand the class inclusion relation, they always drew wrong conclusions about super-class from sub-class in their classification.

保险推销员自我效能感及其工作模型

The research studied self-efficacy and job mechanism of insurance salesmen in China by the methods of in-depth interview, focus-group, semi-open questionnaire, standard questionnaire. There were about 1300 samples surveyed. The way of data analysis such as factor analysis, correlation analysis, regreesion analysis and structure equation was used. Four following conclusions were drawn: First, self-efficacy of inssurance salesmen in China consists of eight factorswhich are interview skills, manner, persistence, control of emotion, plans and comments, master of knowledge, intuition and judgement, preparation. Second, the relationship between self-efficacy and other job variables such as achievement motivation, work incentive, coping strategy, view of ability, performance, goalsetting, colleague relationship, the way of feedback from leader, job satisfaction and exertion were tested and all the correlations were significant. Third, regression analysis was used to test the relationship between self-efficacy and the antecedent variables. The result was that four antecedent varialbes enter equation (p<.05). They are self-oriented achievement motivation, stability of emotion, performance and colleague relationship.. Finally, vertified by path-analysis, the research posits a comprehensive model about job for insurance salesmen, in which self-efficacy was the most important factor. On the one hand, self-efficacy has dominant effects on the consequent variables, such as mastery goal, performance- approach goal, job satisfaction, exertion, coping strategy, on the another hand, self-efficacy was found as mediator of the relationship between the antecedent variables and consequent variables.