中国至今无缘诺贝尔奖原因探讨

分析了中国至今无人获得诺贝尔奖的原因,包括自然观、方法论、社会环境、创新意识、竞争意识、选题、科学管理机构和基金分配方式、教育目标、语言因素、文化氛围等.希望对此展开讨论,剖析真正的、关键的问题所在,以实现创新国家的目标.

波动方程叠前深度偏移辛算法及速度建模

On 70~(th) SEG Annual meeting, many author have announced their result on the wave equation prestack depth migration. The methods of the wave-field imaging base on wave equation becomes mature and the main direction of seismic imaging. The direction of imaging the complex media has been the main one of the projects that the national "85" and "95" reservoir geophysics key projects and "Knowledge innovation key project of Chinese Academy of Science" have been supported. Furthermore, we began the study for special oil field situation of our nation with the international research groups. Under the background, the author combined the thoughts of symplectic with wave equation pre-stack depth migration, and develops and efficient wave equation pre-stack depth migration method. The purpose of this work is to find out a way to imaging the complex geological goals of Chinese oilfields and form a procedure of seismic data processing. The paper gives the approximation of one way wave equation operator, and shows the numerical results. The comparisons have been made between split-step phase method, Kirchhoff and Ray+FD methods on the pulse response, simple model and Marmousi model. The results shows that the method in this paper has an higher accuracy. Four field data examples have also be given in this paper. The results of field data demonstrate that the method can be usable. The velocity estimation is an important part of the wave equation pre-stack depth migration. A parallel velocity estimation program has been written and tested on the Beowulf clusters. The program can establish a velocity profile automatically. An example on Marmousi model has shown in the third part of the paper to demonstrate the method. Another field data was also given in the paper. Beowulf cluster is the converge of the high performance computer architecture. Today, Beowulf Cluster is a good choice for institutes and small companies to finish their task. The paper gives some comparison results the computation of the wave equation pre-stack migration on Beowulf cluster, IBM-SP2 (24 nodes) in Daqing and Shuguang 3000, and the comparison of their prize. The results show that the Beowulf cluster is an efficient way to finish the large amount computation of the wave equation pre-stack depth migration, especially for 3D.

辛格式波动方程叠前深度偏移及速度建模

On 70~(th) SEG Annual meeting, many author have announced their result on the wave equation pre-stack depth migration. The methods of the wave-field imaging base on wave equation becomes mature and the main direction of seismic imaging. The direction of imaging the complex media has been the main one of the projects that the national "85" and "95" reservoir geophysics key projects and "Knowledge innovation key project of Chinese Academy of Science" have been supported. Furthermore, we began the study for special oil field situation of our nation with the international research groups. Under the background, the author combined the thoughts of symplectic with wave equation pre-stack depth migration, and develops and efficient wave equation pre-stack depth migration method. The purpose of this work is to find out a way to imaging the complex geological goals of Chinese oilfields and form a procedure of seismic data processing. The paper gives the approximation of one way wave equation operator, and shows the numerical results. The comparisons have been made between split-step phase method, Kirchhoff and Ray+FD methods on the pulse response, simple model and Marmousi model. The result shows that the method in this paper has an higher accuracy. Four field data examples have also be given in this paper. The results of field data demonstrate that the method can be usable. The velocity estimation is an important part of the wave equation pre-stack depth migration. A. parallel velocity estimation program has been written and tested on the Beowulf clusters. The program can establish a velocity profile automatically. An example on Marmousi model has shown in the third part of the paper to demonstrate the method. Another field data was also given in the paper. Beowulf cluster is the converge of the high performance computer architecture. Today, Beowulf Cluster is a good choice for institutes and small companies to finish their task. The paper gives some comparison results the computation of the wave equation pre-stack migration on Beowulf cluster, IBM-SP2 (24 nodes) in Daqing and Shuguang3000, and the comparison of their prize. The results show that the Beowulf cluster is an efficient way to finish the large amount computation of the wave equation pre-stack depth migration, especially for 3D.

我国彩票购买人群的心理行为特征及购彩成瘾倾向研究

The aims of this research were to explore Chinese lottery buyers’ and addictive buyers’ characteristics and influencing factors of lottery buying．Three studies were carried out: study 1 was to find out the psychological and behavioral characteristics of Chinese lottery buyers. Study 2 was to find out the psychological and behavioral characteristics of addictive lottery buyers. High addictive tendency group and control group were selected, and general information, personality traits and lottery buying behavior characteristics were compared between the two groups. Study 3 was to explore the influences of locus of control and coping style on Chinese lottery buyers’ addictive tendency. 7,160 subjects were rectuited from the Welfare Betting shops in 114 cities of the 31 provinces of China. It was found that: 1. The main characteristics of Chinese lottery buyers are: male, marride, non-religious, 26-45 years old, having at least high school level of education. 2. Chinese lottery buyer’s reasons of first buying were curiosity, to donate for charity, to have amusement, to chase big prize and others’ influence. At present the main reasons of lottery buying were charity, amusment and big prize. 3. 40 percent of Chinese lottery buyers spent more than 20% of their income on lottery. Higher income buyers spent more than the lower ones, but the lower income buyers’ ratio of lottery buying money per month was higher than that of the higher income ones. 4. Chinese high addictive lottery buyers’ characteristics were middle-aged, married, low educational and low-income males . 5. Lottery buyers’ buying behavior is reinforced with lottery winning ratio during the first lottery buying . The addictive tendency of lottery buying is unrelated with the length of lottery buying experience. 6. External control, negative coping style and education level, are associated with the high addictive lottery buying behavior.