A Study on the Regional Spatial Relationship among Cities in Shandong Province Based on Space of Flows

城市间的关系是编制区域规划和制定区域政策的基础。本文以山东省为研究对象，通过对通信信息流、网络信息流、公路客流、铁路客流等多种流空间的综合分析，展开对山东省域城市间关系的研究。研究发现：就省域的整体格局而言，要素流沿通道聚集，呈轴线布局，济青铁路和京沪铁路形成的T型双轴线区域尤其明显，导致省域呈现出北部强于南部、东部高于西部，差异显著的次区域联系特征；就中心体系而言，山东省域的网络化程度较高、多层级中心集聚态势明显，地理邻近的城市间互动关系更强。The regional spatial relation is the basis of making the regional planning and the regional policies.Taking Shandong Province as the research object,this paper studies the regional spatial relationship in Shandong Province through the comprehensive analysis of communication flow,internet information flow,highway passenger flow and railway passenger flow.The result shows that in terms of the overall pattern of the province,the elemental flow is concentrated along the channel and is arranged in the axis line.The"T"type double axis region is more obvious in the Jinan-Qingdao and Beijing-Shanghai regions,leading to a variant and nonequilibrium characteristics of Shandong Province.As to the central system,there is a high degree of network with multi-level centers and strong interactions of adjacent cities.国家自然科学基金项目资助(项目批准号51508485和51478216)福建省自然科学基金资助项目(2016J01262

Chinese Higher Education at the Turn of the Century : Observations from Field Trips at South-East Provinces in 2004

Since the initiation of Socialist Market policies, Chinese higher education steadily expanded its enrollment. The growth was accelerated at the end of the 1990s under a shift of governmental policy geared for achievement of mass higher education in the early years of the 21st Century. The radical shift was corresponded with dramatic changes at the institutional level with ambitious investments in infrastructure and new course designs. What are the causes of the changes? How higher education institutions have changed around the turn of the century? What are the main problems behind the changes? This report examine these questions based on the data and interviews collected through field trips at Fujian, Zhejiang and Anhui Provinces of Southeast China in early summer of 2004

一种基于云边协同的配电台区分级线损分析系统

本发明提出的是一种基于云边协同的配电台区分级线损分析系统。包括云端线损分析平台、边端智能融合终端和电能数据采集终端。电能数据采集终端负责采集台区各个关键节点处的用电信息，并把采集的信息传送给边缘侧的智能融合终端，智能融合终端负责在边缘侧计算台区拓扑，并依据拓扑信息分级计算线损，云端的线损分析平台用于对边缘侧的拓扑信息进行校核以及依据边缘侧分级线损计算值，进行区域线损计算、异常线损点定位和窃电分析等线损精益化管理。本发明能够实现“变压器‑低压出线”、“低压出线与分支箱”、“分支箱与表箱”、“表箱与户表”的多级线损核算与分析方法，充分利用现有设备，成本低，易实现，从而实现配电台区的区域“自治”

一种基于云边协同的配电台区分级线损分析系统

本发明提出的是一种基于云边协同的配电台区分级线损分析系统。包括云端线损分析平台、边端智能融合终端和电能数据采集终端。电能数据采集终端负责采集台区各个关键节点处的用电信息，并把采集的信息传送给边缘侧的智能融合终端，智能融合终端负责在边缘侧计算台区拓扑，并依据拓扑信息分级计算线损，云端的线损分析平台用于对边缘侧的拓扑信息进行校核以及依据边缘侧分级线损计算值，进行区域线损计算、异常线损点定位和窃电分析等线损精益化管理。本发明能够实现“变压器‑低压出线”、“低压出线与分支箱”、“分支箱与表箱”、“表箱与户表”的多级线损核算与分析方法，充分利用现有设备，成本低，易实现，从而实现配电台区的区域“自治”

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies