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.

Exploration and Practice of Integrating Ideological and Political Education into the“Comprehensive Practical Training in Prefabricated Building Construction”Course

This paper focuses on the ideological and political construction of the course“Comprehensive Practical Training of Prefabricated Building Construction”and deeply discusses its exploration and practice process.By building an ideological and political teaching system in line with the characteristics of“Comprehensive Training of Prefabricated Building Construction,”ideological and political elements such as industry spirit,professional ethics,and social responsibility are organically integrated into all links of practical training and teaching.In terms of teaching methods,various innovative means such as case analysis,role-playing,and group discussion are adopted,and modern information technologies such as virtual reality and augmented reality are used to improve the teaching effect.At the same time,a diversified teaching evaluation system is formulated to ensure the sustainability and effectiveness of ideological and political education.This study not only enriches the theoretical research of ideological and political courses but also provides a practical reference for the ideological and political construction of similar courses,which is of great significance for promoting the overall improvement of the quality of talent training in higher education.

Integration of Ideological and Political Elements into Philology Courses in Higher Education:An Exploratory Analysis and Practical Implementation within the Context of the New Era

Philology is a fundamental course for Chinese majors in higher education,which contains rich ideological and political education resources.In the context of the new era,integrating ideological and political elements into the course of philology is not only an inherent requirement of the course itself but also a necessary requirement for the development of education.This article explores the practical paths of integrating ideological and political elements into the course of philology by mining its ideological and political resources,providing theoretical reference and practical inspiration for comprehensively promoting the ideological and political reform of language and literature courses in the new era.

Research on Practical Teaching of Ideological and Political Courses in Colleges and Universities and Collaborative Education in the Second Classroom

In today’s society,the need for talent training is of utmost importance due to rapid development.To achieve high-quality talent training,we need to focus on building a collaborative education mechanism.Practical teaching and the second classroom,which serve as important carriers of educational talents,must align their educational goals and complement each other.This article explores the collaborative education mechanism of the second classroom and practical teaching for the ideological and political courses in colleges and universities.It proposes reasonable construction measures to provide some guidelines for teaching work.

The Practical Enlightenment of Chinese Modernization to the Modernization of Ideological and Political Education in Universities

The report approved on The 20th National Congress of The Communist Party of China (CPC) explained deep meaning of Chinese modernization, which provided practical enlightenment and value guidance for the modernization of ideological and political education in universities. The five distinctive characteristics of Chinese modernization, including “huge population”,“common prosperity for all”, “harmony between material and spiritual civilization”, “harmony between humanity and nature”, “following the path of peaceful development”, guided universities to build a more targeted ideological and political education system. In this way, universities can cultivate more talents for modernization cause.

A 16-bit 18-MSPS flash-assisted SAR ADC with hybrid synchronous and asynchronous control logic

This paper presents a 16-bit,18-MSPS(million samples per second)flash-assisted successive-approximation-register(SAR)analog-to-digital converter(ADC)utilizing hybrid synchronous and asynchronous(HYSAS)timing control logic based on an on-chip delay-locked loop(DLL).The HYSAS scheme can provide a longer settling time for the capacitive digital-to-analog converter(CDAC)than the synchronous and asynchronous SAR ADC.Therefore,the issue of incomplete settling or ringing in the DAC voltage for cases of either on-chip or off-chip reference voltage can be solved to a large extent.In addition,the fore-ground calibration of the CDAC’s mismatch is performed with a finite-impulse-response bandpass filter(FIR-BPF)based least-mean-square(LMS)algorithm in an off-chip FPGA(field programmable gate array).Fabricated in 40-nm CMOS process,the proto-type ADC achieves 94.02-dB spurious-free dynamic range(SFDR),and 75.98-dB signal-to-noise-and-distortion ratio(SNDR)for a 2.88-MHz input under 18-MSPS sampling rate.

Practical Teaching Design of Ecotourism Course under the Construction of Park Cities:A Case Study of Qinglong Lake Ecological Wetland Park

The construction of park cities makes it possible for the popularization of ecotourism,and lays resource conditions and product foundation for the practical teaching of ecotourism course.In this paper,natural ecological resources and ecological leisure and recreation in Qinglong Lake Ecological Wetland Park were analyzed,and a series of practical teaching projects can be designed based on ecological cognition education,ecological responsibility,ecological experience,ecological environmental protection publicity and ecological tourism scenic spot management,as well as the teaching requirements of ecotourism course.

A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications

In this paper,we offer a review of type-3 fuzzy logic systems and their applications in control.The main objective of this work is to observe and analyze in detail the applications in the control area using type-3 fuzzy logic systems.In this case,we review their most important applications in control and other related topics with type-3 fuzzy systems.Intelligent algorithms have been receiving increasing attention in control and for this reason a review in this area is important.This paper reviews the main applications that make use of Intelligent Computing methods.Specifically,type-3 fuzzy logic systems.The aim of this research is to be able to appreciate,in detail,the applications in control systems and to point out the scientific trends in the use of Intelligent Computing techniques.This is done with the construction and visualization of bibliometric networks,developed with VosViewer Software,which it is a free Java-based program,mainly intended to be used for analyzing and visualizing bibliometric networks.With this tool,we can create maps of publications,authors,or journals based on a co-citation network or construct maps of keywords,countries based on a co-occurrence networks,research groups,etc.

A Formal Model for Analyzing Fair Exchange Protocols Based on Event Logic

Fair exchange protocols play a critical role in enabling two distrustful entities to conduct electronic data exchanges in a fair and secure manner.These protocols are widely used in electronic payment systems and electronic contract signing,ensuring the reliability and security of network transactions.In order to address the limitations of current research methods and enhance the analytical capabilities for fair exchange protocols,this paper proposes a formal model for analyzing such protocols.The proposed model begins with a thorough analysis of fair exchange protocols,followed by the formal definition of fairness.This definition accurately captures the inherent requirements of fair exchange protocols.Building upon event logic,the model incorporates the time factor into predicates and introduces knowledge set axioms.This enhancement empowers the improved logic to effectively describe the state and knowledge of protocol participants at different time points,facilitating reasoning about their acquired knowledge.To maximize the intruder’s capabilities,channel errors are translated into the behaviors of the intruder.The participants are further categorized into honest participants and malicious participants,enabling a comprehensive evaluation of the intruder’s potential impact.By employing a typical fair exchange protocol as an illustrative example,this paper demonstrates the detailed steps of utilizing the proposed model for protocol analysis.The entire process of protocol execution under attack scenarios is presented,shedding light on the underlying reasons for the attacks and proposing corresponding countermeasures.The developedmodel enhances the ability to reason about and evaluate the security properties of fair exchange protocols,thereby contributing to the advancement of secure network transactions.

Logical stochastic resonance in a cross-bifurcation non-smooth system

This paper investigates logical stochastic resonance(LSR)in a cross-bifurcation non-smooth system driven by Gaussian colored noise.In this system,a bifurcation parameter triggers a transition between monostability,bistability and tristability.By using Novikov's theorem and the unified colored noise approximation method,the approximate Fokker-Planck equation is obtained.Then we derive the generalized potential function and the transition rates to analyze the LSR phenomenon using numerical simulations.We simulate the logic operation of the system in the bistable and tristable regions respectively.We assess the impact of Gaussian colored noise on the LSR and discover that the reliability of the logic response depends on the noise strength and the bifurcation parameter.Furthermore,it is found that the bistable region has a more extensive parameter range to produce reliable logic operation compared with the tristable region,since the tristable region is more sensitive to noise than the bistable one.

RESTlogic: Detecting Logic Vulnerabilities in Cloud REST APIs

logical testing model and resource lifecycle information,generate test cases and complete parameters,and alleviate inconsistency issues through parameter inference.Once again,we propose a method of analyzing test results using joint state codes and call stack information,which compensates for the shortcomings of traditional analysis methods.We will apply our method to testing REST services,including OpenStack,an open source cloud operating platform for experimental evaluation.We have found a series of inconsistencies,known vulnerabilities,and new unknown logical defects.

Practical Logic and Discourse Interpretation of China’s Efforts to Safeguard the Right to Subsistence

The Communist Party of China has led the Chinese people to write a brilliant chapter of national development over the past century,wherein the nation has sounded a clarion call for safeguarding the right to subsistence and made fruitful achievements in this regard.However,there is still room for improvement in its systematic discourse of the right to subsistence.To accurately understand the Chinese theory on the right to subsistence,we must base it on China’s historical background and social reality.Through mining the white papers on human rights progress in China over the years and analyzing Chinese practices recorded thereby,we can figure out the practical logic for the country’s efforts in the protection of the right to subsistence,and with this as a clue,we can further interpret its discourse on the right to subsistence.Issues related to the right to subsistence can be divided into two levels:“basically solved”and“truly solved”.The former involves the settlement of the most fundamental issues closely related to the right to subsistence in fields like food,education,medical care,housing,and drinking water,and the latter corresponds to“improvement”in the right to subsistence.While consolidating and upgrading the existing basic rights,China works to enable its people to truly gain a foothold in society and achieve their aspiration for a better life through combining assistance and support from the government and society and the efforts of individuals.Understanding the right to subsistence in a dynamic and developmental manner is instrumental in better understanding the alignment between the right to subsistence and other human rights.

Knowledge Practical Attitude of Health Professionals on Breast Cancer at the Hospital of the District of the Commune IV of Bamako

Introduction: The level of knowledge and attitude of health professionals about breast cancer are important determinants. General objective: To study the knowledge, attitude and practice of health professionals of the hospital of the district of the commune IV on breast cancer. Methodology: This was a cross-sectional, prospective, descriptive, qualitative and quantitative study. The study period was from 01 October 2022 to December 2022. Results: In one week of survey, 110 health workers (intern, obstetrician nurse, general practitioners and specialists) received the survey sheet, 80 health workers informed it, a participation rate of 73%. The male sex was most represented at 63.75% with a sex ratio of 1.76. The average age was 39.59 years with extremes of 22 and 61 years. The clinical signs evoked by the participants were: breast nodule (81.25%), followed by breast discharge (48.75%). In relation to risk factors: interns and obstetrician nurses had no good knowledge, 51.72% of general practitioners had good knowledge, 43.48% of specialist doctors had good knowledge, and 5.88% of the wise had good knowledge. Conclusion: Breast cancer is a common pathology around the world, health professionals are at the forefront of the fight against breast cancer, and this fight cannot be effective without trained personnel.

A Practical Study of Intelligent Image-Based Mobile Robot for Tracking Colored Objects

Object tracking is one of the major tasks for mobile robots in many real-world applications.Also,artificial intelligence and automatic control techniques play an important role in enhancing the performance of mobile robot navigation.In contrast to previous simulation studies,this paper presents a new intelligent mobile robot for accomplishing multi-tasks by tracking red-green-blue(RGB)colored objects in a real experimental field.Moreover,a practical smart controller is developed based on adaptive fuzzy logic and custom proportional-integral-derivative(PID)schemes to achieve accurate tracking results,considering robot command delay and tolerance errors.The design of developed controllers implies some motion rules to mimic the knowledge of experienced operators.Twelve scenarios of three colored object combinations have been successfully tested and evaluated by using the developed controlled image-based robot tracker.Classical PID control failed to handle some tracking scenarios in this study.The proposed adaptive fuzzy PID control achieved the best accurate results with the minimum average final error of 13.8 cm to reach the colored targets,while our designed custom PID control is efficient in saving both average time and traveling distance of 6.6 s and 14.3 cm,respectively.These promising results demonstrate the feasibility of applying our developed image-based robotic system in a colored object-tracking environment to reduce human workloads.

Multi-modal knowledge graph inference via media convergence and logic rule

Media convergence works by processing information from different modalities and applying them to different domains.It is difficult for the conventional knowledge graph to utilise multi-media features because the introduction of a large amount of information from other modalities reduces the effectiveness of representation learning and makes knowledge graph inference less effective.To address the issue,an inference method based on Media Convergence and Rule-guided Joint Inference model(MCRJI)has been pro-posed.The authors not only converge multi-media features of entities but also introduce logic rules to improve the accuracy and interpretability of link prediction.First,a multi-headed self-attention approach is used to obtain the attention of different media features of entities during semantic synthesis.Second,logic rules of different lengths are mined from knowledge graph to learn new entity representations.Finally,knowledge graph inference is performed based on representing entities that converge multi-media features.Numerous experimental results show that MCRJI outperforms other advanced baselines in using multi-media features and knowledge graph inference,demonstrating that MCRJI provides an excellent approach for knowledge graph inference with converged multi-media features.

Implementation of Fuzzy Logic Control into an Equivalent Minimization Strategy for Adaptive Energy Management of A Parallel Hybrid Electric Vehicle

As government agencies continue to tighten emissions regulations due to the continued increase in greenhouse gas production, automotive industries are seeking to produce increasingly efficient vehicle technology. Hybrid electric vehicles (HEVs) have been introduced to mitigate problems while improving fuel economy. HEVs have led to the demand of creating more advanced controls software to consider multiple components for propulsive power in a vehicle. A large section in the software development process is the implementation of an optimal energy management strategy meant to improve the overall fuel efficiency of the vehicle. Optimal strategies can be implemented when driving conditions are known a prior. The Equivalent Consumption Minimization Strategy (ECMS) is an optimal control strategy that uses an equivalence factor to equate electrical to mechanical power when performing torque split determination between the internal combustion engine and electric motor for propulsive and regenerative torque. This equivalence factor is determined from offline vehicle simulations using a sensitivity analysis to provide optimal fuel economy results while maintaining predetermined high voltage battery state of charge (SOC) constraints. When the control hierarchy is modified or different driving styles are applied, the analysis must be redone to update the equivalence factor. The goal of this work is to implement a fuzzy logic controller that dynamically updates the equivalence factor to improve fuel economy, maintain a strict charge sustaining window of operation for the high voltage battery, and reduce computational time required during algorithm development. The adaptive algorithm is validated against global optimum fuel economy and charge sustaining results from a sensitivity analysis performed for multiple drive cycles. Results show a maximum fuel economy improvement of 9.82% when using a mild driving style and a 95% success rate when maintaining an ending SOC within 5% of the desired SOC regardless of starting SOC.

Spin logic devices based on negative differential resistance -enhanced anomalous Hall effect

Owing to rapid developments in spintronics,spin-based logic devices have emerged as promising tools for next-generation computing technologies.This paper provides a comprehensive review of recent advancements in spin logic devices,particularly focusing on fundamental device concepts rooted in nanomagnets,magnetoresistive random access memory,spin–orbit torques,electric-field modu-lation,and magnetic domain walls.The operation principles of these devices are comprehensively analyzed,and recent progress in spin logic devices based on negative differential resistance-enhanced anomalous Hall effect is summarized.These devices exhibit reconfigur-able logic capabilities and integrate nonvolatile data storage and computing functionalities.For current-driven spin logic devices,negative differential resistance elements are employed to nonlinearly enhance anomalous Hall effect signals from magnetic bits,enabling reconfig-urable Boolean logic operations.Besides,voltage-driven spin logic devices employ another type of negative differential resistance ele-ment to achieve logic functionalities with excellent cascading ability.By cascading several elementary logic gates,the logic circuit of a full adder can be obtained,and the potential of voltage-driven spin logic devices for implementing complex logic functions can be veri-fied.This review contributes to the understanding of the evolving landscape of spin logic devices and underscores the promising pro-spects they offer for the future of emerging computing schemes.

PDOL-Based Solid Electrolyte Toward Practical Application:Opportunities and Challenges

Polymer solid-state lithium batteries(SSLB)are regarded as a promising energy storage technology to meet growing demand due to their high energy density and safety.Ion conductivity,interface stability and battery assembly process are still the main challenges to hurdle the commercialization of SSLB.As the main component of SSLB,poly(1,3-dioxolane)(PDOL)-based solid polymer electrolytes polymerized in-situ are becoming a promising candidate solid elec-trolyte,for their high ion conductivity at room temperature,good battery elec-trochemical performances,and simple assembly process.This review analyzes opportunities and challenges of PDOL electrolytes toward practical application for polymer SSLB.The focuses include exploring the polymerization mechanism of DOL,the performance of PDOL composite electrolytes,and the application of PDOL.Furthermore,we provide a perspective on future research directions that need to be emphasized for commercialization of PDOL-based electrolytes in SSLB.The exploration of these schemes facilitates a comprehensive and profound understanding of PDOL-based polymer electrolyte and provides new research ideas to boost them toward practical application in solid-state batteries.

Hierarchical Controller Synthesis Under Linear Temporal Logic Specifications Using Dynamic Quantization

Linear temporal logic(LTL)is an intuitive and expressive language to specify complex control tasks,and how to design an efficient control strategy for LTL specification is still a challenge.In this paper,we implement the dynamic quantization technique to propose a novel hierarchical control strategy for nonlinear control systems under LTL specifications.Based on the regions of interest involved in the LTL formula,an accepting path is derived first to provide a high-level solution for the controller synthesis problem.Second,we develop a dynamic quantization based approach to verify the realization of the accepting path.The realization verification results in the necessity of the controller design and a sequence of quantization regions for the controller design.Third,the techniques of dynamic quantization and abstraction-based control are combined together to establish the local-to-global control strategy.Both abstraction construction and controller design are local and dynamic,thereby resulting in the potential reduction of the computational complexity.Since each quantization region can be considered locally and individually,the proposed hierarchical mechanism is more efficient and can solve much larger problems than many existing methods.Finally,the proposed control strategy is illustrated via two examples from the path planning and tracking problems of mobile robots.

A Neuro T-Norm Fuzzy Logic Based System

In this study, we are first examining well-known approach to improve fuzzy reasoning model (FRM) by use of the genetic-based learning mechanism [1]. Later we propose our alternative way to build FRM, which has significant precision advantages and does not require any adjustment/learning. We put together neuro-fuzzy system (NFS) to connect the set of exemplar input feature vectors (FV) with associated output label (target), both represented by their membership functions (MF). Next unknown FV would be classified by getting upper value of current output MF. After that the fuzzy truths for all MF upper values are maximized and the label of the winner is considered as the class of the input FV. We use the knowledge in the exemplar-label pairs directly with no training. It sets up automatically and then classifies all input FV from the same population as the exemplar FVs. We show that our approach statistically is almost twice as accurate, as well-known genetic-based learning mechanism FRM.