法学家眼中的和谐社会

从现有权威性文献看,“和谐社会”是执政党要追求的一种社会状态,更是一种涉及面极其广泛的治国方略。在这个过程中,法律、法学和法学家的作用举足重轻。面对如此重大议题,法学家应当表达观点、提出诉求、发挥专业功能。基于这种考虑,本刊特邀部分中青年法学家进行了笔谈,希望他们的文章能引起讨论,促进法律界、法学界形成一些基本共识

An end-to-end geometric deficiencies elimination algorithm for 3D meshes

The 3D mesh is an important representation of geometric data. It is widely used in computer graphics and has attracted more attention in computer vision community recently. However, in the generation of mesh data, geometric deficiencies (e.g., duplicate elements, degenerate faces, isolated vertices, self-intersection, and inner faces) are unavoidable. Geometric deficiencies may violate the topology structure of an object and affect the use of 3D meshes. In this paper, we propose an end-to-end algorithm to eliminate geometric deficiencies effectively and efficiently for 3D meshes in a specific and reasonable order. Specifically, duplicate elements can be first eliminated by assessing appear times of vertices or faces. Then, degenerate faces can be removed according to the outer product of two edges. Next, since isolated vertices do not appear in any face vertices, they can be deleted directly. Afterward, self-intersecting faces are detected and remeshed by using an AABB tree. Finally, we detect and remove an inner face according to whether multiple random rays shooted from a face can reach infinity. Experiments on ModelNet40 dataset illustrate that our method can eliminate the deficiencies of 3D meshes thoroughly

博斯腾湖水环境现状研究

课题旨在通过对博斯腾湖湖水、沉积物以及水生生物的分析，出、入湖河流水系水质现状的监测，结合湖区工业废水、农业灌溉废水和城镇生活废水的分析，确定博斯腾湖湖水化学特征、水环境质量及流域的水污染现状和发展趋势，为博斯腾湖流域水资源的规划、开发利用和水功能区域的规划、管理提供基础数据和科学依据。课题取得的成果不仅对博斯腾湖整体生态环境的保护和促进博斯腾湖生态系统的良性循环有非常重要的科学价值，而且可对博斯腾湖的环境管理提供科学的依据，最终实现数字化管理的目标。根据巴音郭楞蒙古自治州政府和有关部门的要求，经协商，由巴州环保局、监测站、南京大学联合成立博斯腾湖水环境现状研究课题组。经过课题组的共同努力，于2003年12完成了实地调查和室内分析测试工作，2004年8月完成了课题报告

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