体育科研成果在2008年奥运会应用领域及热点展望

对体育科研成果在2008年奥运会的应用领域和热点进行分析和总结，提出了一些建议。     

体育创新教育探析

本文通过对创新教育、体育创新教育等的探讨，在概括分析国外体育创新教育的基础上，从观念层面和行为层面两个视角提出我国体育创新教育的应答。     

课堂:研究性学习的主阵地

研究性学习是以培养学生自主探索精神为特征的一种教学方式,其主阵地在课堂。只有课堂的学习方式发生变革,才能有效地促进学生研究能力的发展。     

软式排球的教学效果研究

本文主要运用实验法，从技术、心理、身体素质三个方面对普通高校女生软式排球的教学效果进行了研究。研究结果表明，与普通排球相比软式排球运动具有技术容易掌握，教学效果较好，比赛回合较多，运动量大，趣味性更强，对增强身体素质有较好的作用等优点，并提出了首先在学校中普及软排运动，同时在机关、企业和杜区中推广软排运动以及加强国际交流，学习先进经验等建议，供有关部门参考。     

Research priorities for a multi-center child abuse pediatrics network − CAPNET

Although child maltreatment medical research has benefited from several multi-center studies, the new specialty of child abuse pediatrics has not had a sustainable network capable of pursuing multiple, prospective, clinically-oriented studies. The Child Abuse Pediatrics Network (CAPNET) is a new multi-center research network dedicated to child maltreatment medical research. In order to establish a relevant, practical research agenda, we conducted a modified Delphi process to determine the topic areas with highest priority for such a network. Research questions were solicited from members of the Ray E. Helfer Society and study authors and were sorted into topic areas. These topic areas were rated for priority using iterative rounds of ratings and in-person meetings. The topics rated with the highest priority were missed diagnosis and selected/indicated prevention. This agenda can be used to target future multi-center child maltreatment medical research.     

我国大科学装置发展战略研究和政策建议

本文是中国科学院综合计划局、基础科学局组织的大科学装置发展战 略研究小组经广泛深入的研究之后形成的政策建议报告简本，主要包括大科学装置在国家发 展中的地位和作用、现阶段我国大科学装置发展战略的构想等内容，重点论述了我国大科学 装置发展中若干问题的研究与政策建议。     

国家生态系统观测研究网络实物资源服务研究

实物资源是国家生态系统观测研究网络(Chinese National Ecosystem Research Network,CNERN)的宝贵财富,对于开展联网观测、实验、研究具有广泛的用途及重大的价值。研究CNERN实物资源服务的相关问题,探索运行服务阶段CNERN实物资源服务的模式,对实现实物资源服务从服务科研创新向全面服务科技、经济和社会发展转变具有重要的理论价值和现实意义。探讨CNERN实物资源服务的内涵、特点、服务内容,并提出基于线上线下融合的实物资源服务模式,为"国家生态系统研究网络科技资源服务系统"的实物资源服务子系统的设计、开发提供理论基础和应用模式,也期望为相关部门开展实物资源服务提供参考。     

University–industry interactions in applied research: The case of microelectronics

In the first part of the paper we discuss the pattern of research in microelectronics, illustrating the reasons why, in order to achieve distinguished scientific performance, universities need to collaborate with industry, and in particular academic researchers need to interact with industrial ones by face-to-face knowledge exchanges. In the second part, using patent data integrated with information collected through interviews, we measure the extent and intensity of the ties of academic with industrial researchers, and apply social network analysis to reconstruct the network of collaborations. The picture that emerges (from this Italian case) is fully consistent with the specific research pattern. Collaboration is based on teams of researchers from the two spheres, and strong connections are associated with high scientific performance. Moreover, border-crossing collaborations tend to be driven by cognitive proximity and personal relationships.     

吉林省"十五"期间省属自然研究机构自主创新能力分析

本文通过对机构创新的几个重要指标的阐述，对比并分析了“十五”以来省属研究机构的自主创新能力现状。     

Endogenous technical advance and the stochastic trend in output: A neoclassical approach

In the recent endogenous growth literature, the trend in output is stochastic, while investment in scientific knowledge is treated as analogous to a capital stock. This paper models both research and development (R&D) and disembodied technical advance using neo-classical equations, which specify the equilibrium stocks as a function of prices and output. The elasticity of R&D in the production function, estimated using factor shares, is time-varying and increasing. Returns to scale are increasing in all factors. The most important aspect of the model is that the equilibrium rate of technical advance is not cyclically invariant, but co-moves with output at business cycle frequencies. This allows the production function to behave as a stochastic trend. Growth accounting demonstrates that long-term variations in the rate of productivity growth have been associated mainly with low-frequency fluctuations in the rate of disembodied technical advance, with secondary effects from the stocks of R&D and physical capital. During the high productivity period 1948–1972, technical advance contributed 1.48 percentage points per year to output, with 0.98 accounted for by R&D. The productivity slowdown of the mid-1970s was accounted by a gradual decline in the effect of R&D, and a more abrupt collapse in disembodied technology. The subsequent productivity revival was associated with two accelerations in disembodied technical advance, the first beginning in the early 1980s, and the second in the mid-1990s. The production function is simulated in a small econometric model. Model simulations find that exogenous shocks to the inflation rate generate significant variations in growth by inducing fluctuations in disembodied technology.