So we can see the regulation ineffectiveness has some institutional causes . thirdly the paper expatiates the relations between government and government bond market , corporation bond market and stock market , and points out their relations are regulation and competition 再则,指出了政府与国债市场、企业债券市场、股票市场之间既是监管与被监管的关系,又是通过国债参与企业债券、股票资金需求的竞争关系,并进一步分析了政府与国债市场、企业债券市场之间的关系。
Therefore , this paper suggests that , in order to avoid the repetitious appearance of the polarization phenomenon and eliminate the governmental ineffectiveness during the course of china ' s regional development , governments should take measures to make institutional innovations and reconstruct a new decentralized public governance mechanism 为了避免区域发展中循环往复的马太效应现象，根治区域开发中的政府失灵问题，市场制度下必须对国家简单化的公共管理体制进行制度创新，构建一种新型的分散治理机制。
Based on the brief illtroduction of the historical evolvement and the current situation of national resewes , the thesis analyzes the illtemal relation between national reserve , markct and govennnenial administration . it poinis out that the existence of " ineffectiveness of marketing " urges national reserve intervention , which acts as one of the main measures of the go venunental " intervent ons , to correct it 在概括介绍国家储备的历史沿革和世界各国发展现状的基础上，分析了国家储备与市场和政府之间的内在联系，指出正是由于大量“市场失灵”现象的存在，客观需要作为政府重要干预手段之一的国家储备干预对其进行矫正。
The immaturity of the subjects when confronted with the internet , and the imbalance of educational forces , the ineffectiveness of social practices will lead to misguided perceptions and misbehaviors such as digital anxiety when confronting seas of information , intellectual desolation of knowledge , value amazement in pluralism , personality foreinization in role - plays , and institutional barriers in human - computer interaction . the loss of subjectivity in cyber culture is by nature the conversion of students as subjects and the internet as a tool . from this point , we advocate that students " internet activities should return to their " nature " of improving personal subjectivities development 其中，在学生的自觉能动性、独立自主性、目的自控性等主体性不成熟的情况下，面对网络环境的诱惑，而各方教育力量的失洽、现实社会规则的失效时，就出现了诸如信息汪洋中的数码焦虑、知识河流中的智能荒芜、观念多元中的价值迷失、角色扮演中的人格异化和人机交往中的社会化障碍等主体性迷失所带来的认识迷茫、行为失范现象。
( we call it “ monopoly model ” ) . this “ monopoly model ” neglects the ecological and public nature as well as the rareness of the resources ; as a result , it leads to the inefficiency , ineffectiveness and waste of the natural resources , interrupting the implementation of the sustainable development strategy 这种制度模式忽视了自然资源的生态、稀缺与公共属性,忽视了市场机制与公众参与对自然资源开发、利用与生态环境保护的重要意义,导致了自然资源利用低效率、无效率,浪费严重,严重威胁着我国可持续发展战略的实施。
Due to the significant surgical trauma and prolonged hospital stay , however , many parents and paediatricians alike are often hesitant over surgical management , and have instead chosen to manage these children with vur conservatively with long - term prophylactic antibiotics , despite of the ineffectiveness of the latter in abolishing breakthrough urinary infections and new kidney damage 然而许多家长和患者，由于严重的手术创伤和较长的住院时间，对手术治疗会犹豫不决，甚至采用长时间的抗生素保守治疗来替代，尽管后者不能有效地阻止尿路感染，甚至会导致新的肾脏损坏。
In chinese security market , the not - well - positioned market mechanism and institution restrained the effectiveness and scale of arbitrage practice that leads to a return to non - arbitrage equilibrium . manipulation and market making of big capital pool are reversing factors that lead to greater ineffectiveness and non - equilibrium of market . the existence of large number of irrational and unqualified investors is the basis of market manipulation of big capital pool , and has thus strengthened the tendency of market manipulation and the ineffectiveness and none - equilibrium of the market 在中国证券市场上，尚不健全的市场规范与制度限制了向无套利均衡回归的套利行为的效力与规模；大资本的操纵与做市则是一种向无套利均衡回归的反向力量，造成更大的失效与失衡；而大量投资者的非理性和低素质则是做庄炒作赖以存在的主要基础之一，并加剧了做市的倾向，加剧了市场的失效与失衡。
Because of ineffectiveness of naive bayes model for text classification , this thesis proposed integrating boosting theory of machine learning in classification process , boost naive bayes categorization model through many times training . improved by experiments , mutual information and naive bayes integrated with boosting bring very good precision , recall , and f1 score 鉴于朴素贝叶斯的分类效果不佳，本论文又提出将机器学习中的boosting思想结合到朴素贝叶斯的分类模型中，对朴素贝叶斯模型进行提升，实验证明，改进的互信息和给合了boosting思想的朴素贝叶斯分类模型均产生良好的分类效果?分准率、分全率及f1值。
