基于最弱t-norm算法模糊贝叶斯网络土石坝渗漏风险分析

针对土石坝工程渗漏影响要素多,风险评估体系不完善的问题,提出一种基于最弱t-norm算法模糊贝叶斯网络的土石坝渗漏风险分析模型。首先基于土石坝渗漏破坏成因构建土石坝渗漏风险分析网络,再基于层次分析法和最弱t-norm聚合算法求解不同专家判断的相似性结果,最后将相似性结果转化为概率后代入贝叶斯理论计算水库渗漏破坏风险。以2005年英德尔水库渗漏破坏事件为例,计算得到该库渗漏破坏概率为0.08,属于不可接受风险,并通过反向诊断验证了该模型的可靠性与灵敏性优于传统算法。研究结果可为土石坝渗流风险分析与处置决策提供参考。

TdBrnn:An Approach to Learning Users’Intention to Legal Consultation with Normalized Tensor Decomposition and Bi-LSTM

With the development of Internet technology and the enhancement of people’s concept of the rule of law,online legal consultation has become an important means for the general public to conduct legal consultation.However,different people have different language expressions and legal professional backgrounds.This phenomenon may lead to the phenomenon of different descriptions of the same legal consultation.How to accurately understand the true intentions behind different users’legal consulting statements is an important issue that needs to be solved urgently in the field of legal consulting services.Traditional intent understanding algorithms rely heavily on the lexical and semantic information between the original data,and are not scalable,and often require taxing manual annotation work.This article proposes a new approach TdBrnn which is based on the normalized tensor decomposition method and Bi-LSTM to learn users’intention to legal consulting.First,we present the users’legal consulting statements as a tensor.And then we use the normalized tensor decomposition layer proposed by this article to extract the tensor elements and structural information of the original tensor which can best represent users’intention of legal consultation,namely the core tensor.The core tensor relies less on the lexical and semantic information of the original users’legal consulting statements data,it reduces the dimension of the original tensor,and greatly reduces the computational complexity of the subsequent Bi-LSTM algorithm.Furthermore,we use a large number of core tensors obtained by the tensor decomposition layer with users’legal consulting statements tensors as inputs to continuously train Bi-LSTM,and finally derive the users’legal consultation intention classification model which can comprehensively understand the user’s legal consultation intention.Experiments show that our method has faster convergence speed and higher accuracy than traditional recurrent neural networks.

Inside and Outside Perspectives on the Relation of People’s Personal Values and Their Acceptance of Legal Norms

Based on a representative survey on crime prevention,this paper studies how personal values are related to persons’acceptance of legal norms(LNA).We here take a closer look at these relations than previous research.Offenses,in particular,are classified into different offense types,and the persons’ratings are studied both as observed and as individually centered data.It is found that conservation-oriented persons give higher and less differentiated badness ratings to all offenses than persons striving for hedonism and stimulation.The correlational structure of basic personal values and norm acceptance ratings for 14 different offenses,when represented via multidimensional scaling,exhibits that conservation orientation becomes a better predictor of LNA of all offense types if it is augmented by an additional value,peace of mind.When looking at centered ratings(i.e.,controlling for each person’s mean ratings),social values become the best predictors of offenses such as tax evasion,benefits fraud,or taking bribes.Statements on the impact of personal values on general norm acceptance should,therefore,be replaced with more differentiated relations on how particular values are related to people’s attitudes towards particular offenses.

The Normative Connotation and Legal Guarantee of Market Economy in China’s Constitution

At this stage,the market economy has become an important force to promote China’s economic development.Consolidating the core of market economic development,namely,economic equality and economic freedom,is an inevitable requirement for upholding and improving China’s basic economic system,and it is also an important aspect of the country’s strong guarantee for market economic development.Therefore,it is necessary to research the meaning of the market economy in the constitution,and at the same time clarify the constitutional norms’obligation to guarantee the implementation of state agencies to provide adequate constitutional guarantees for the development of the market economy.

REFINEMENTS OF THE NORM OF TWO ORTHOGONAL PROJECTIONS

In this paper,some refinements of norm equalities and inequalities of combination of two orthogonal projections are established.We use certain norm inequalities for positive contraction operator to establish norm inequalities for combination of orthogonal projections on a Hilbert space.Furthermore,we give necessary and sufficient conditions under which the norm of the above combination of o`rthogonal projections attains its optimal value.

Analysis and improving countermeasures of medical disputes from the perspective of legal changes

Under the background of medical disputes growing in number,scale and intensity,tracing back legal changes in medical field as a breakthrough point,this paper took a legal perspective to illustrate changes in medical dispute settlements from legislative orientation to legal system improvement.In view of the fact that early legislation in medical field was biased towards identification and punishment of doctors’responsibility,and later intensive legislation in balancing increasing"medical trouble"phenomenon with limited effects and difficulties to abide by the law,this paper proposed to improve doctor-patient dispute settlements system in China referencing from foreign law experience,to reduce investigation of doctors at the judicial level,and to establish a settlement mechanism on doctors’apology at the legislative level,so as to promote a healthy development of doctor-patient relationship.

Research on the Legal Framework of Content Regulations for Network Platforms

In the era of the Internet,various network platforms have evolved into new hubs for information dissemination.Currently,China has established a platform-centered content regulation framework,wherein platforms proactively enforce content regulations in accordance with legal censorship obligations.Additionally,platform policies and user agreements augment their authority in content regulation.The platforms can achieve cost-effective and highly efficient content regulation by leveraging their strategic advantages enabled by their own technical capabilities and extensive coverage.The platform self-regulation model,however,still faces challenges.First,accurately evaluating content remains a formidable task;second,ensuring effective platform publicity through self-regulation poses difficulties;third,users may potentially face disadvantages due to the platform’s right of self-regulation;and fourth,digital copyright owners face challenges when defending digital copyright disputes under the safe harbor rule.Therefore,it is imperative to establish,review,and revise the legal framework for content regulation of network platforms in order to enhance the efficiency of their governance systems.The formulation of the legal framework for content regulation of network platforms may encompass the following aspects:rationalizing obligations pertaining to platform content regulations,enhancing supervision over platform self-regulation,and establishing a dual-track responsibility system for digital copyright content regulation.This will ensure a harmonious balance among public interests,users’personal rights and interests,and commercial benefits through regulating the content on network platforms.

Disputes are Normal,Arbitration is the Solution

At present,some of the greatest changes that the world has seen in the last century are accelerating.The international political and economic structure is profoundly adjusted,so the economic ties and legal interactions between countries are facing greater challenges.The theme of the second parallel forum of the Global Business and Law Conference 2024 is"Dispute Resolution and Global Economic Win-win",which not only offers a profound insight into the current international economic development needs,but also represents strategic thinking on the future global winwin situation.

Research on Current Situation and Legal Regulation of Cosmetics Live Streaming E-commerce in China

Analyze the compatibility between cosmetics and live streaming e-commerce from its own nature,marketing means and supply chain characteristics.According to the prominent problems,sort out the relationship between all parties in the cosmetics live e-commerce industry chain.Combined with the latest regulatory policies of live streaming e-commerce and cosmetics,the responsibilities of different subjects in cosmetics live streaming e-commerce are summarized,and relevant suggestions and countermeasures are put forward for the standardization and development of live streaming e-commerce.Cosmetics brand owners are the first responsible persons for product quality.Anchors,as a mixed identity between intermediary,advertising spokesperson and operator,should bear stricter joint and several liability when recommending products related to consumers’health.If anchors fail to clearly identify themselves in the recommendation process,thus causing consumers to mistake them for the operator of the cosmetics,they should assume the obligations of the operator.

Research on Enterprise Legal Service Strategy Based on Compliance Management Optimization

With the background of enterprise compliance management,this paper discusses how to improve the level of enterprise legal service and reduce enterprise legal risks by optimizing the compliance management system.It aims to analyze the current situation and existing problems of enterprise legal services through the analysis of the importance of compliance management.Furthermore,it delves into the case of enterprise legal service strategy based on compliance management optimization to verify the effectiveness and feasibility of enterprise legal service strategy.

Exploration of Interdisciplinary Integration in Teaching Reform of Legal Studies and Auditing

This paper attempts to explore interdisciplinary integration from four aspects:the necessity of interdisciplinary integration between legal studies and auditing,the difficulties and challenges encountered in this integration,the ideas for teaching reform in the context of interdisciplinary integration,and the expected outcomes.The aim is to achieve an organic integration of legal studies and auditing through systematic teaching reforms,thereby providing students with comprehensive and integrated knowledge and skills training,ensuring the quality of talent cultivation,and adapting to the needs of social development.

法律手语的规范路径与实践应用

在研究、整理各地手语的基础上,形成能在全国范围使用的通用手语,一直是我国语言文字工作的一项基本政策和重要组成部分。作为手语技能与法律文化的融合产物,法律手语不仅是聋人群体传递法律信息的语言工具,更承载着向聋人群体进行法学知识教育的重要功能。文章从法律手语的内在特征出发,探究法律手语的规范路径与应用模式,既是新时期学科手语研究工作的内在要求,也是聋人群体基本公共法律服务权益保障的客观需要。

“五位一体”涉外法治人才培养的实践育人路径探索

加强以实践为导向的育人机制建设,不仅是联系法学理论教学与实务的桥梁,也是涉外法治人才培养的重点和提升法律人才培养质量的关键。当前我国涉外法治人才实践教育存在课堂教学的理念与模式陈旧、实务课程缺乏系统性与针对性、实习实训资源开发不足以及国际实习机会稀缺等方面的问题,它们表现在实践教学的各个环节。要解决这些问题,高校在涉外法治人才培养中应当坚持“五位一体”的涉外法治人才培养实践育人路径,从引导课堂实练、设计实务课程、强化校内实训、组织校外实践、拓展国际实习网络五方面进行一体化针对性改革,整体提升涉外法治人才实践能力培育的实效。

碳排放权交易制度的权利逻辑与规范进路

当下我国碳排放权交易制度体系正在经历着由政策引领向法治构建的转变。目前碳排放权交易制度行政立法中简单将“权利”与“配额”等同的做法,既无法体现碳排放权所兼具的公法、私法双重特征,也难以有效回应碳排放权交易市场的发展需求以及完善碳排放权交易制度的规范构建。为此,需要构建以碳排放权交易市场为语境、以碳排放“权利”为逻辑主线的碳排放权交易制度,夯实其法治基础并明确其规范进路。从语境与语义出发,“碳排放权”的表述本身就意味着其私法的权利属性。在碳排放权交易制度的理论逻辑层面,双阶理论可以为碳排放权交易制度中“配额”到“权利”的过渡提供理论支撑;在其实践逻辑层面,碳排放权交易制度需要借助“权利”的确立为其交易市场的展开提供法治的基础。最后,考虑到碳排放权权利属性共识不足、碳排放权交易制度结构尚待稳定、权利基础呈现多元特征以及权利来源并非稳固不变等因素,策略上可以考虑暂时搁置碳排放权权属争议,以权益为抓手、以“权益表现—适用规范领域—法律保护方式”为主线,分步骤、分阶段推进碳排放权交易制度的规范构建。

论行政公益诉讼中的协同治理原则

行政公益诉讼中的协同治理发生于主要参与主体,即国家公权力行使机关之间,以公共利益保护和客观法秩序维护为协同目标,以治理效能充分发挥为协同旨要,意在形成均衡、共赢的协同行为模式,倍增行政公益诉讼制度效果。以法律原则理论代入,协同治理具备作为一项法律原则的充分理据。依某一法律制度基本原则之认定标准,协同治理原则具备担纲一项行政公益诉讼基本原则的当然资格。作为在行政公益诉讼中生成、实践、提炼而成的原创性准则,应当通过立法确认其基本原则地位,使之具有规范特质,有效指导行政公益诉讼规则体系搭建和制度运行实践。

BIO-NORM与NORM耕地质量评价方法对比研究

耕地质量评价对指导农业生产具有极为重要的意义,耕地质量评价方法的优劣直接影响到耕地质量评价结果的可靠性。本研究以江西省余江县为研究区域,通过实际调查和样品采集与分析,获取了249个水田表层土壤属性数据和95个田块的水稻产量数据。利用Norm值法和新建立的Bio-Norm法,分别确定耕地质量评价指标、指标权重和隶属度函数,并对研究区水田耕地质量进行评价。两种评价方法的对比分析表明,Bio-Norm法选取的指标比Norm值法更具有代表性,得出的指标权重更能准确反映指标的重要性,确定的隶属度函数临界值更能反映水稻生长的实际要求。评价结果显示,利用Bio-Norm法得出的耕地质量综合指数(IFI值)与水稻产量回归方程的决定系数(R2)远高于Norm值法,且IFI值与水稻产量各等级的区域分布特征更为吻合。Bio-Norm法评价耕地质量更为科学合理。

BIO-NORM与EO耕地质量评价方法对比研究

以江西省余江县为研究区域,利用专家经验法(expert opinion,EO)和新建的Bio-Norm法,分别确定耕地质量评价指标、指标权重和隶属度函数,对研究区水田耕地质量进行评价。两种评价方法的对比分析表明,采用EO法时不同专家组选取的参评指标不尽相同,评价结果具有不稳定性。Bio-Norm法得出的指标权重及确定的隶属度函数临界值,比起EO法更能反映水稻生长的实际要求;耕地质量综合指数(IFI值)与水稻产量回归方程的决定系数(R2)高于EO法,且IFI值与水稻产量各等级区域分布特征更吻合。采用Bio-Norm法评价耕地质量更为科学合理。

关于NORM开发利用设施退役源项调查方法的探讨

通过对以往实践经验进行总结,依照我国现行法规及技术标准,参考国际技术标准和国外良好实践,建立了一套适用于NORM开发利用设施退役源项调查的参考方法,并结合案例分析对调查方法的要点进行了探讨。这种方法的优点是,在保证调查结果可靠的前提下,将大量的实验室分析工作代之以现场监测,从而减轻了实验室的工作负担。希望对今后同类工作的开展提供参考。

磷矿采选及磷酸盐相关产品生产的NORM问题

2007年的统计结果表明:产生废物量最大的主要行业是钢铁和煤炭行业,分别占总废物总量的43.6%和28.8%,其次是铜和磷酸盐行业,分别占6.3%和4.62%,其余各行业产生的废物量都小于3%;其中钢铁、煤炭、铜和磷酸盐行业原矿外照射剂量率平均值分别是162 nGy/h、153 nGy/h、170 nGy/h和273 nGy/h,磷酸盐行业外照射水平较高。我国以往的相关工作基本查明磷矿分布区域,磷矿采选和磷酸盐相关产品生产企业,天然放射性水平较高矿石、废渣和部分产品238U、226Ra和40K核素活度浓度,但是,对开采含天然放射性核素较高的磷矿石,或使用这些磷矿石进行生产的企业开展辐射影响评价,以及这些企业在生产过程中对周围环境影响的评价非常有限,监测技术方法也需要进一步完善。在第一次全国污染源普查基础上,选择有代表性的磷酸盐生产企业进行辐射监测与环境影响评价研究具有重要的意义。

L1 norm optimal solution match processing in the wavelet domain

Greater attention has been paid to vintage-merge processing of seismic data and extracting more valuable information by the geophysicist. A match filter is used within many important areas such as splicing seismic data, matching seismic data with different ages and sources, 4-D seismic monitoring, and so on. The traditional match filtering method is subject to many restrictions and is usually difficult to overcome the impact of noise. Based on the traditional match filter, we propose the wavelet domain L1 norm optimal matching filter. In this paper, two different types of seismic data are decomposed to the wavelet domain, different detailed effective information is extracted for Ll-norm optimal matching, and ideal results are achieved. Based on the model test, we find that the L1 norm optimal matching filter attenuates the noise and the waveform, amplitude, and phase coherence of result signals are better than the conventional method. The field data test shows that, with our method, the seismic events in the filter results have better continuity which achieves the high precision seismic match requirements.