合理判别数据的学科归属是高校图书馆学科评价服务中亟待解决的重要问题,它直接影响评价数据的准确性和评价结果的合理性。文章聚焦人文社科学科评价中跨库数据的学科归属问题,应用案例研究法,考察南开大学图书馆在开展人文社科学科评价...合理判别数据的学科归属是高校图书馆学科评价服务中亟待解决的重要问题,它直接影响评价数据的准确性和评价结果的合理性。文章聚焦人文社科学科评价中跨库数据的学科归属问题,应用案例研究法,考察南开大学图书馆在开展人文社科学科评价中,根据数据库特点及映射理论,在辨析学科分类体系的基础上,通过制定多维学科映射方案对来自CNKI、CSSCI和Web of Science等数据源的评价数据实现判别学科归属的实践过程。基于案例实践,剖析学科评价中跨库数据学科归属问题的本质、根本原因、解决途径及制约性因素,提出从理论探究到实践方法的应对策略。展开更多
This paper focuses on the simulation analysis of stripe formation and dynamic features of intersecting pedestrian flows.The intersecting flows consist of two streams of pedestrians and each pedestrian stream has a des...This paper focuses on the simulation analysis of stripe formation and dynamic features of intersecting pedestrian flows.The intersecting flows consist of two streams of pedestrians and each pedestrian stream has a desired walking direction.The model adopted in the simulations is the social force model, which can reproduce the self-organization phenomena successfully. Three scenarios of different cross angles are established. The simulations confirm the empirical observations that there is a stripe formation when two streams of pedestrians intersect and the direction of the stripes is perpendicular to the sum of the directional vectors of the two streams. It can be concluded from the numerical simulation results that smaller cross angle results in higher mean speed and lower level of speed fluctuation. Moreover, the detailed pictures of pedestrians＇ moving behavior at intersections are given as well.展开更多
文摘合理判别数据的学科归属是高校图书馆学科评价服务中亟待解决的重要问题,它直接影响评价数据的准确性和评价结果的合理性。文章聚焦人文社科学科评价中跨库数据的学科归属问题,应用案例研究法,考察南开大学图书馆在开展人文社科学科评价中,根据数据库特点及映射理论,在辨析学科分类体系的基础上,通过制定多维学科映射方案对来自CNKI、CSSCI和Web of Science等数据源的评价数据实现判别学科归属的实践过程。基于案例实践,剖析学科评价中跨库数据学科归属问题的本质、根本原因、解决途径及制约性因素,提出从理论探究到实践方法的应对策略。
基金Project supported by the National Natural Science Foundation of China(Grant No.61233001)the Fundamental Research Funds for the Central Universities,China(Grant No.2017JBM014)
文摘This paper focuses on the simulation analysis of stripe formation and dynamic features of intersecting pedestrian flows.The intersecting flows consist of two streams of pedestrians and each pedestrian stream has a desired walking direction.The model adopted in the simulations is the social force model, which can reproduce the self-organization phenomena successfully. Three scenarios of different cross angles are established. The simulations confirm the empirical observations that there is a stripe formation when two streams of pedestrians intersect and the direction of the stripes is perpendicular to the sum of the directional vectors of the two streams. It can be concluded from the numerical simulation results that smaller cross angle results in higher mean speed and lower level of speed fluctuation. Moreover, the detailed pictures of pedestrians＇ moving behavior at intersections are given as well.
