Twenty Years of the Implementation of the Human Rights Clause in the Constitution:Achievements,Implications,and Research Topics

On March 14,2004,the Second Session of the 10th National People’s Congress of China adopted the fourth amendment to the Chinese Constitution,the most noticeable highlight of which is the addition of the paragraph“the state respects and protects human rights”as the third clause in Article 33 of Chapter II“Basic Rights and Obligations of Citizens”in the Constitution.The inclusion of the clause of human rights in the Constitution is considered an important milestone in the history of human rights development in the People’s Republic of China.The implementation of the human rights clause not only showcases the values of the Party and the state in respecting and protecting human rights,but also promotes the development of human rights,shapes the culture of human rights,and endows the rule of law with a rich humanistic spirit.Over the past 20 years,the publicity,research and practice of the human rights clause have made the Chi-nese people realize that human rights are not only a“great term”,but also a common value shared by mankind.Amid the once-in-a-century changes of the world,although the development of human rights is facing various challenges,the humanistic spirit contained in the hu-man rights clause has become the internal driving force for building consensus in the whole of society.Reinterpreting the significance and value of the human rights clause can help us conscientiously draw on the experience in the implementation of the clause over the past 20 years and contribute Chinese wisdom and experience to global human rights governance with a more open mind and inclusive attitude.

The Connotations of the Constitutional Clause on Human Rights Protection From the Perspective of Foreign-related Rule of Law

The inclusion of the human rights clause in the Chi-nese Constitution is the core normative manifestation of the constitu-tionalization of human rights,and points to the relationship between international law and the Constitution in the sense of positive law.The inclusion of the human rights clauses in the Chinese Constitution itself is an inherent part of the development of China’s socialist constitution,and socialism has already contributed valuable concepts and practices of human rights protection to the modern world in its early stage.The constitutionalization of human rights protection does not necessarily lead to the superiority of international law over the constitutional order of a country,but rather to the convergence of international law and domestic law through the constitutional order.The relevant rules of international law will be effective only when they are transformed into domestic law through the Constitution and the human rights clause in the Constitution.Correspondingly,the domestic legal order is brought into line with the international legal order through the Con-stitution and its human rights clause.Behind the system of fundamen-tal rights in the constitutional order is the value foundation of the en-tire legal system.The advancement of foreign-related rule of law has brought new opportunities for China’s judicial practice to further pro-mote the protection of human rights.In the future,we should further integrate the human rights values embedded in socialism into China’s constitutional practice,enhance human rights protection around the country,and take a more active part in global human rights gover-nance.

Research on the Constitutional,Historical and Practical Logic of the Chinese Path of Human Rights Development——From the Perspective of the Inclusion of Human Rights Clause in the Constitution

The inclusion of the human rights clause in the Chi-nese Constitution is a concern and expression of the spirit of the Con-stitution,which has laid the institutional regulations of the fundamen-tal law for the development of human rights in China,provided the principles and value norms of the highest level of effectiveness for the legal protection of human rights,and built a profound constitutional basis for the formation and improvement of the Chinese path of human rights development.The human rights clause is not only a summariza-tion and affirmation of the historical practice of Chinese human rights development under the leadership of the Communist Party of China,but also a new starting point for the development of human rights in China under the leadership of the Communist Party of China.It marks that the development of human rights in China has entered a new era.The Party and the state have finally embarked on a path of human rights development with Chinese characteristics by formulating and implementing the Human Rights Action Plan of China,eliminating ab-solute poverty through the national poverty alleviation campaign,and promoting human rights protection through the rule of law.

基于英语学习活动观的语法教学探究——以Noun Clauses为例

文章以三维动态语法观为理论框架,以名词性从句为例,分析语法结构的三个维度,以活动观为指导进行设计与实施教学内容,将语法、语句、写作结合起来引导学生注意学习名词性从句的语境、语用、语篇意义,帮助学生创造性地在交际中得体地使用名词性从句。

LAMOST的“Unknown”光谱分类研究:ODS-YOLOv7模型

天体识别是天文新发现和深入研究天体的基础。在LAMOST DR8 v1.0发布的低分辨率光谱数据中有约53万条因没有类别标签而被命名为“Unknown”的光谱,其中有88.56%的光谱信噪比在0~10之间,对这批光谱的研究分析将增加LAMOST的有效数据产出。该研究为“Unknown”光谱的分类设计了一种ODS-YOLOv7模型。它是一种端到端的类别预测模型,通过添加一维卷积注意力模块以提高光谱识别能力。在经过一批信噪比在0~10之间的已知类别光谱训练后,ODS-YOLOv7可以学习到低信噪比光谱的有效特征,进而实现对“Unknown”光谱的类别预测。实验表明,该模型在已知类别标记的低信噪比恒星、星系、类星体的光谱识别中,F1-score分别为0.98、0.95、0.95;同时在与传统算法KNN、RF、DT、SVM和深度学习算法1D CNN、1DSSCNN、ResNet、DenseNet、VIT对比实验中取得相对最好的效果。实验结果还给出了ODS-YOLOv7模型对DR8 v1.0中信噪比在0~10的“Unknown”光谱预测置信度分布,在预测类别为恒星、星系、类星体任务中,有92%的分类置信度在60%以上。为保证模型输出质量,本文只选取分类置信度大于99%的光谱类别作为输出结果。以此为依据,在DR8 v1.0和DR9 v0发布的全部“Unknown”光谱中分别有37.19%和47.03%被ODS-YOLOv7模型预测出类别。此外,还增加人工认证以检验该模型预测的正确性。为提升模型的可解释性,参照了二维图像特征可视化的Grad-CAM方法,将其改进为适合于可视化一维光谱数据特征的算法。其结果表明该模型可自动关注到不同的分类特征,使得该模型非常适用于低信噪比“Unknown”光谱的类别预测。

The Conflict and Balance Between Intellectual Property Rights and Public Freedom of Information in the“Anti-circumvention Clause”

There is a long-standing conflict between intellectual property rights and public freedom of information.The continuous development of the“anti-circumvention clause”has caused the conflict to intensify.As a basic human right,freedom of information is being gradually eroded by the expansion of intellectual property rights.The existing research mainly carries on the right balance from the negative protection path,but the positive protection path is more advantageous to realizing the public freedom of information and alleviates the conflict between the two kinds of rights.In practice,there are some problems in the application of the anti-circumvention clause,such as the legality of the aim,the division of the protected part,and the determination of the circumvention.This is mainly due to the lack of restrictions on technical measures,the failure to distinguish between“copyright protection”and“contact control”,and the offside and absence of administrative bodies in practice.We should protect public freedom of information by distinguishing the two measures of copyright protection and contact control and the two torts of access and use,increasing the restrictive conditions for the use of technical protection measures,and changing the functions of administrative supervision agencies.

Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance

This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown covariance matrix is addressed by focusing on the output data set of the system.Considering that data generated from a Gaussian distribution exhibit ellipsoidal scattering,we first propose the weighted sum of norms(SON)clustering method that prioritizes nearby points,reduces distant point influence,and lowers computational cost.Then,by introducing the weighted maximum likelihood,we propose a semi-definite program(SDP)to detect outliers and reduce their impacts on each cluster.Detecting these weights paves the way to obtain an appropriate covariance of the output noise.Next,two filtering approaches are presented:a cluster-based robust linear filter using the maximum a posterior(MAP)estimation and a clusterbased robust nonlinear filter assuming that output noise distribution stems from some Gaussian noise resources according to the ellipsoidal clusters.At last,simulation results demonstrate the effectiveness of our proposed filtering approaches.

A Novel Intrusion Detection Model of Unknown Attacks Using Convolutional Neural Networks

With the increasing number of connected devices in the Internet of Things(IoT)era,the number of intrusions is also increasing.An intrusion detection system(IDS)is a secondary intelligent system for monitoring,detecting and alerting against malicious activity.IDS is important in developing advanced security models.This study reviews the importance of various techniques,tools,and methods used in IoT detection and/or prevention systems.Specifically,it focuses on machine learning(ML)and deep learning(DL)techniques for IDS.This paper proposes an accurate intrusion detection model to detect traditional and new attacks on the Internet of Vehicles.To speed up the detection of recent attacks,the proposed network architecture developed at the data processing layer is incorporated with a convolutional neural network(CNN),which performs better than a support vector machine(SVM).Processing data are enhanced using the synthetic minority oversampling technique to ensure learning accuracy.The nearest class mean classifier is applied during the testing phase to identify new attacks.Experimental results using the AWID dataset,which is one of the most common open intrusion detection datasets,revealed a higher detection accuracy(94%)compared to SVM and random forest methods.

Unknown DDoS Attack Detection with Fuzzy C-Means Clustering and Spatial Location Constraint Prototype Loss

Since its inception,the Internet has been rapidly evolving.With the advancement of science and technology and the explosive growth of the population,the demand for the Internet has been on the rise.Many applications in education,healthcare,entertainment,science,and more are being increasingly deployed based on the internet.Concurrently,malicious threats on the internet are on the rise as well.Distributed Denial of Service(DDoS)attacks are among the most common and dangerous threats on the internet today.The scale and complexity of DDoS attacks are constantly growing.Intrusion Detection Systems(IDS)have been deployed and have demonstrated their effectiveness in defense against those threats.In addition,the research of Machine Learning(ML)and Deep Learning(DL)in IDS has gained effective results and significant attention.However,one of the challenges when applying ML and DL techniques in intrusion detection is the identification of unknown attacks.These attacks,which are not encountered during the system’s training,can lead to misclassification with significant errors.In this research,we focused on addressing the issue of Unknown Attack Detection,combining two methods:Spatial Location Constraint Prototype Loss(SLCPL)and Fuzzy C-Means(FCM).With the proposed method,we achieved promising results compared to traditional methods.The proposed method demonstrates a very high accuracy of up to 99.8%with a low false positive rate for known attacks on the Intrusion Detection Evaluation Dataset(CICIDS2017)dataset.Particularly,the accuracy is also very high,reaching 99.7%,and the precision goes up to 99.9%for unknown DDoS attacks on the DDoS Evaluation Dataset(CICDDoS2019)dataset.The success of the proposed method is due to the combination of SLCPL,an advanced Open-Set Recognition(OSR)technique,and FCM,a traditional yet highly applicable clustering technique.This has yielded a novel method in the field of unknown attack detection.This further expands the trend of applying DL and ML techniques in the development of intrusion detection systems and cybersecurity.Finally,implementing the proposed method in real-world systems can enhance the security capabilities against increasingly complex threats on computer networks.

Clause-based enhancing mode for tableau algorithm for ALCN

As the tableau algorithm would produce a lot of description overlaps when judging the satisfiabilities of concepts（thus wasting much space）,a clause-based enhancing mode designed for the language ALCN is proposed.This enhancing mode constructs a disjunctive normal form on concept expressions and keeps only one conjunctive clause,and then substitutes the obtained succinctest conjunctive clause for sub-concepts set in the labeling of nodes of a completion tree constructed by the tableau algorithm （such a process may be repeated as many times as needed）.Due to the avoidance of tremendous descriptions redundancies caused by applying ∩- and ∪-rules of the ordinary tableau algorithm,this mode greatly improves the spatial performance as a result.An example is given to demonstrate the application of this enhancing mode and its reduction in the cost of space. Results show that the improvement is very outstanding.

On the Translation Techniques of English Attributive Clause

Translation is the use of one language to another language;this is expressed by the contents of the re-express.For the English-Chinese translation,the attributive clause translation is the most important.However,the English attributive clause is divided into restrictive and non-restrictive attributive clauses.In the translation process,it should be based on its structure and meaning.To take appropriate translation,get rid of restrictions on sentence structure so that the translation is equal to the original as much as possible.In this paper,the translation skills and samples have been used to further express the attributive clause to the readers.

Method of creating ontologies for Prolog clauses

A method is proposed to build an ontology in the form of a conceptual graph for Prolog clauses, so that the Prolog reasoning engine can differentiate clauses semantically to some degree. The concept model of a clauses ontology is composed of predicate parameters and head sub-goals, and these sub-goals appear in the head of the rule body and precede any predicate calls. In the proposed method, a Prolog program can be transformed into a Prolog ＋ CG program that includes a clauses ontology. Some experiments show that, with a clauses ontology, some clauses which do not match current goals are not considered early enough, and, therefore, the size of the goal solution tree may be reduced. By the capability of conceptual graph, a clauses ontology makes the semantics of the Prolog program more clear and readable, and sometimes it speeds up the solution process obviously.

An Investigation of Avoidance of Relative Clauses in the English Writings of High Vocational College Students

This study investigates the avoidance of relative clauses by high vocational college students and also explores the differences in the avoidance of the RCs by high-level students and low-level students in their English writings. The data used in this study have been collected from English writing tasks and analyzed by Statistical Package for Social Sciences(SPSS17.0). The major findings of this study are stated as follows: 1) There are significant differences in the production of the relative clauses in their English writings by Chinese higher vocational college students and English native speakers. Avoidance of relative clauses exists in the English writings of higher vocational college students. 2) High-level Chinese higher vocational college students display less of the avoidance phenomenon in their English writings than low-level students.

论when clause的几种译法

英汉词汇往往只是部分对应关系,when clause也不例外,故翻译时应根据不同的语境灵活处理。作者分析了When Clause的几种不同含义,并详细论述了其具体翻译方法。

On the pragmatic functions of non-restrictive relational clauses in English news report discourse

Traditional syntactic or semantic theories failed to provide a satistactory explanation for the unique features of non-restrictive relational clauses in people＇s daily use of English language. This paper would adopt the theoretical framework of pragmatics and use relevance theory as well as face theory to discuss the unique pragmatic functions of non-restrictive relational clauses in English news report discourse. The three major pragmatic functions are： （1） optimizing the relevance of information; （2） seeking for the consistence with readers; and （3） avoiding imposing the author＇s opinion on readers.

When-clause的涵义、特殊用法及翻译

试图全面梳理、分析连词when-clause的用法:when-clause,除了表示"当……时候",意为:during the time that之外,在具体语境中还有许多其他隐含义:时间先后、因果、转折、条件等逻辑关系,有时具有"突然性、巧合性及矛盾性"含义。

浅议欧盟/欧共体对外条约中的“断开条款(disconnection clause)”

欧盟法意义上的"断开条款"是指欧盟/欧共体在对外订立条约时就规定的、在共同体成员国之间适用欧盟/欧共体条款而非公约的一类特殊条款。该条款目前被作为一种格式化条款在欧盟对外条约中得到经常性的运用,它保障了欧盟内部法制的统一和欧盟法律的最高性,但却对欧盟的对外关系、人权公约和国际法本身带来了一些负面影响,因此需要在实践中对该条款的适用进行平衡和个案分析。

A Teaching Case of Subject Clause Based on Implicit Learning

The New English curriculum criteria suggest teaching English grammar based on the students’cognitive characteristics and emotional needs,helping them discover the rules and encouraging them to master the grammar by using it.But due to the limited time in a lesson,many English teachers adopt a simple approach to teach grammar,in which students are required to memorize the rules first and then practice a lot.This approach is effec-

α-Input and α-Unit Resolution Methods for Generalized Horn Clause Set in L_(V(n×2))F(X)

a-Input resolution and a-unit resolution for generalized Horn clause set are discussed in linguistic truth-valued lattice-valued first-order logic （ Lv（ n × 2） F（X） ）, which can represent and handle uncertain linguistic values-based information. Firstly the concepts of a-input resolution and a.unit resolution are presented, and the equivalence of them is shown. Then α-input （a-unit） resolution is equivalently transformed from Lv（ n × 2） F（X） into that of LnP（X）, and their soundness and completeness are also established. Finally an algorithm for a-unit resolution is contrived in LnP（ X）.

Relative pronoun in the acquisition of English relative clauses by Chinese EFL learners

The paper focuses on the properties of relative pronouns in the acquisition of relative clause by Chinese EFL learners. Based on the NPAH （noun phrase accessibility hierarchy）, comparison and contrast of some aspects of English and Chinese relative pronoun, the paper conducts two experiments, and has proved the hypotheses that students＇ performance generally follows the hierarchy of NPAH and students do have problems with relative pronoun involving prepositions. Besides, some pedagogical implications for foreign language teaching are discussed.