Abnormal Action Recognition with Lightweight Pose Estimation Network in Electric Power Training Scene

Electric power training is essential for ensuring the safety and reliability of the system.In this study,we introduce a novel Abnormal Action Recognition(AAR)system that utilizes a Lightweight Pose Estimation Network(LPEN)to efficiently and effectively detect abnormal fall-down and trespass incidents in electric power training scenarios.The LPEN network,comprising three stages—MobileNet,Initial Stage,and Refinement Stage—is employed to swiftly extract image features,detect human key points,and refine them for accurate analysis.Subsequently,a Pose-aware Action Analysis Module(PAAM)captures the positional coordinates of human skeletal points in each frame.Finally,an Abnormal Action Inference Module(AAIM)evaluates whether abnormal fall-down or unauthorized trespass behavior is occurring.For fall-down recognition,three criteria—falling speed,main angles of skeletal points,and the person’s bounding box—are considered.To identify unauthorized trespass,emphasis is placed on the position of the ankles.Extensive experiments validate the effectiveness and efficiency of the proposed system in ensuring the safety and reliability of electric power training.

Abnormal Action Detection Based on Parameter-Efficient Transfer Learning in Laboratory Scenarios

Laboratory safety is a critical area of broad societal concern,particularly in the detection of abnormal actions.To enhance the efficiency and accuracy of detecting such actions,this paper introduces a novel method called TubeRAPT(Tubelet Transformer based onAdapter and Prefix TrainingModule).Thismethod primarily comprises three key components:the TubeR network,an adaptive clustering attention mechanism,and a prefix training module.These components work in synergy to address the challenge of knowledge preservation in models pretrained on large datasets while maintaining training efficiency.The TubeR network serves as the backbone for spatio-temporal feature extraction,while the adaptive clustering attention mechanism refines the focus on relevant information.The prefix training module facilitates efficient fine-tuning and knowledge transfer.Experimental results demonstrate the effectiveness of TubeRAPT,achieving a 68.44%mean Average Precision(mAP)on the CLA(Crazy LabActivity)small-scale dataset,marking a significant improvement of 1.53%over the previous TubeR method.This research not only showcases the potential applications of TubeRAPT in the field of abnormal action detection but also offers innovative ideas and technical support for the future development of laboratory safety monitoring technologies.The proposed method has implications for improving safety management systems in various laboratory environments,potentially reducing accidents and enhancing overall workplace safety.

General Optimal Trajectory Planning:Enabling Autonomous Vehicles with the Principle of Least Action

This study presents a general optimal trajectory planning(GOTP)framework for autonomous vehicles(AVs)that can effectively avoid obstacles and guide AVs to complete driving tasks safely and efficiently.Firstly,we employ the fifth-order Bezier curve to generate and smooth the reference path along the road centerline.Cartesian coordinates are then transformed to achieve the curvature continuity of the generated curve.Considering the road constraints and vehicle dynamics,limited polynomial candidate trajectories are generated and smoothed in a curvilinear coordinate system.Furthermore,in selecting the optimal trajectory,we develop a unified and auto-tune objective function based on the principle of least action by employing AVs to simulate drivers’behavior and summarizing their manipulation characteristics of“seeking benefits and avoiding losses.”Finally,by integrating the idea of receding-horizon optimization,the proposed framework is achieved by considering dynamic multi-performance objectives and selecting trajectories that satisfy feasibility,optimality,and adaptability.Extensive simulations and experiments are performed,and the results demonstrate the framework’s feasibility and effectiveness,which avoids both dynamic and static obstacles and applies to various scenarios with multi-source interactive traffic participants.Moreover,we prove that the proposed method can guarantee real-time planning and safety requirements compared to drivers’manipulation.

Actionable Genotypes and Their Association with Life Span in Iceland

Background:In 2021,the American College of Medical Genetics and Genomics(ACMG)recommended reporting actionable genotypes in 73 genes associated with diseases for which preventive or therapeutic measures are available.Evaluations of the association of actionable genotypes in these genes with life span are currently lacking.Methods:We assessed the prevalence of coding and splice variants in genes on the ACMG Secondary Findings,version 3.0(ACMG SF v3.0),list in the genomes of 57,933 Icelanders.We assigned pathogenicity to all reviewed variants using reported evidence in the ClinVar database,the frequency of variants,and their associations with disease to create a manually curated set of actionable genotypes(variants).We assessed the relationship between these genotypes and life span and further examined the specific causes of death among carriers.

Actionable Genotypes and Their Association with Life Span in Iceland

Background:In 2021,the American College of Medical Genetics and Genomics(ACMG)recommended reporting actionable genotypes in 73 genes associated with diseases for which preventive or therapeutic measures are available.Evaluations of the association of actionable genotypes in these genes with life span are currently lacking.

非保守广义Chaplygin系统的Herglotz型Noether定理

Herglotz原理是非保守系统的变分原理,它是经典Hamilton原理的一个推广.在非保守情形,现有推广形式的Hamilton原理尽管也可导出运动方程,但实际上不再是变分原理.Noether定理是分析力学的一个基本原理,它阐明了对称性和守恒律的相关性,利用Noether定理可找到比牛顿力学和分析力学更多的守恒律.Chaplygin系统是一类特殊而又应用广泛的非完整系统,其方程可独立于约束方程进行研究.非保守广义Chaplygin系统则是Chaplygin系统对非保守力学的推广,因此研究建立该系统的Herglotz型Noether定理具有重要意义.文章针对非完整约束系统,提出基于Herglotz原理建立非保守广义Chaplygin系统的动力学方程,利用变分关系以及虚位移的Chetaev条件,从关于Hamilton-Herglotz作用量的微分方程出发推导建立其全变分方程并求解,由此导出非保守广义Chaplygin系统的作用量的全变分.给出Herglotz型Noether对称变换及准对称变换的定义,在此基础上利用全变分公式导出其判据(Noether等式),建立并证明非保守广义Chaplygin系统Herglotz形式的Noether定理,得到新型守恒量.最后,针对两个具体的非保守非完整系统,建立了它们的Herglotz型广义Chaplygin方程、判据方程和Chetaev条件,解出生成元,由文中所得定理找到了系统的守恒量,验证了结果的有效性.

基于Kano模型的突发公共事件政务微博回应与公众信息需求适配性研究

【目的/意义】政府回应是政府应对突发事件时维稳民心、疏导舆论的重要举措。对公众信息需求进行精准定位并对其与政务微博回应作适配性分析,有助于总结政府回应的经验教训并明确改进策略,为提高回应效能提供参考。【方法/过程】基于公众在线评论数据,采用Kano模型对公众信息需求进行具体的属性定调,分析舆情演化不同阶段下公众信息需求与政府回应适配性的差异化表征,提出提升政府回应效能的对策建议。【结果/结论】突发事件发生后公众的信息需求呈现差异化表征,公众信息需求与政府回应的适配度会直接影响回应的精准度与公众的满意度。因此,在应对突发公共舆情事件时,政府应根据公众的情感与真实需求精准调整、优化和改进回应策略,树立良好的政府形象。

基于KANO模型的突发疫情事件社区弱势群体应急信息需求研究

[目的/意义]突发疫情事件中,社区是弱势群体获取应急信息的重要渠道,了解弱势群体信息需求,有助于社区精准提供信息服务,促进辖区内居民应急信息储备,增强其满意度。[方法/过程]文章以突发疫情为背景,结合疫情重要信息类别及相关文献,对社区内弱势群体应急信息需求展开调查,借助KANO问卷对各需求进行分类,以确定社区优化应急信息服务的优先级。[结果/结论]针对弱势群体的必备型需求、期望型需求、魅力型需求、无差异型需求调整应急信息服务重点,通过关注应急需求转化、拓宽信息传播渠道等措施,保障弱势群体应急信息需求得以满足。

snoRNAs在肝癌中潜在作用的研究进展

核仁小RNA(snoRNAs)为核仁内存在的一类非编码RNA分子,主要负责rRNA的2′-O-甲基化和假尿嘧啶化修饰。此外,snoRNAs还在tRNA修饰、剪接体snRNA修饰、端粒结构维护及mRNA的可变剪接等生物过程中发挥调控作用。多项研究表明snoRNAs的表达异常与癌症的进展密切相关,可能成为癌症治疗的新靶点。同时,因其在体液中较稳定、易被检测,可作为临床中诊断和预后的生物标志物。本文综述了snoRNAs的合成、分类、结构和功能,并介绍其在肝癌发生和发展中的潜在作用。

Oral fluoroquinolones and the risk of Achilles tendon rupture

Dear editor,Fluoroquinolones(FQs)are a class of antibiotics used to treat bacterial infections,such as lower respiratory,gastrointestinal,and urinary tract infections.Due to its broad-spectrum action and wide availability,it is a commonly prescribed group of antibiotics worldwide.^(1)

Research on Risk Identification and Industrial Governance of Digital Education Products Based on Data Annotation Technology

The social transformation brought aboutby digital technology is deeply impacting various industries.Digital education products, with core technologiessuch as 5G, AI, IoT (Internet of Things),etc., are continuously penetrating areas such as teaching,management, and evaluation. Apps, miniprograms,and emerging large-scale models are providingexcellent knowledge performance and flexiblecross-media output. However, they also exposerisks such as content discrimination and algorithmcommercialization. This paper conducts anevidence-based analysis of digital education productrisks from four dimensions: “digital resourcesinformationdissemination-algorithm design-cognitiveassessment”. It breaks through corresponding identificationtechnologies and, relying on the diverse characteristicsof governance systems, explores governancestrategies for digital education products from the threedomains of “regulators-developers-users”.

Data Component:An Innovative Framework for Information Value Metrics in the Digital Economy

The increasing dependence on data highlights the need for a detailed understanding of its behavior,encompassing the challenges involved in processing and evaluating it.However,current research lacks a comprehensive structure for measuring the worth of data elements,hindering effective navigation of the changing digital environment.This paper aims to fill this research gap by introducing the innovative concept of“data components.”It proposes a graphtheoretic representation model that presents a clear mathematical definition and demonstrates the superiority of data components over traditional processing methods.Additionally,the paper introduces an information measurement model that provides a way to calculate the information entropy of data components and establish their increased informational value.The paper also assesses the value of information,suggesting a pricing mechanism based on its significance.In conclusion,this paper establishes a robust framework for understanding and quantifying the value of implicit information in data,laying the groundwork for future research and practical applications.

Primary and Secondary Microplastic and Nanoplastic Regulations: Perspectives on Water Industry Impacts

Plastic pollution, both primary and secondary, is an environmental challenge, prompting regulatory actions at global and regional levels. With increasing research about the impacts of micro- and nanoplastics on ecosystems and human health, governments worldwide have undertaken efforts to address this issue. The global community has advanced regulatory efforts that have led to the implementation of national laws or regulations in numerous countries. These measures ban or restrict the use of primary and secondary microplastics and nanoplastics. An overview of global and European regulatory frameworks is presented to provide context for the United States (US). In the endeavor to document plastics regulation development in the US, a description of regulatory agencies and their roles in advancing policy and rules as well as future direction and areas for improvement in regulating plastics are introduced. A discussion of what emerging regulations mean to utilities and industries is also provided along with a comparison of regulatory frameworks.

Green Economy Promotes Stability in Developing Countries

The green economy is an alternative vision for growth and development,which takes into account environmental sustainability,social equity,and economic viability.In this paper,we discuss the prospects and challenges of building a green economy in developing nations.The main goals of the study are to determine the advantages of reorienting to a green economy,considering prospects for developing countries,reveal barriers that they face,and develop recommendations for overcoming these barriers.Objectives:To assess potential economic,environmental,and social benefits when developing countries adopt green economies;To establish major obstacles impeding transition to green economies in these regions;To provide viable strategies and policy recommendations that can be used to facilitate the shift from brown or informal resource-led economies to green ones.Prior Work:Much literature has captured the concept of a green economy and its importance in ensuring sustainable development.The results indicate that embracing green technology and practices can be highly cost-effective,especially on matters related to environmental conservation.There are also output-based advantages and job opportunities to be created in such sectors as renewable energy,sustainable agriculture,or even ecotourism.Green economy measures act as a tool for reducing greenhouse gas emissions,which consecutively reduces biodiversity loss and ecosystem degradation while also improving on-farm productivity.This paper contributes toward existing knowledge by specifically analyzing where the applicability of a green economy in developing countries lies.It provides a holistic view of what benefits and precise challenges such countries have.In putting forward workable strategies and policy prescriptions,this study would be of immense benefits to policy makers,businesses,and other stakeholders in their drive towards facilitating sustainable economic development.Longitudinal studies are needed to monitor the progress of green economy projects in developing countries over the years.Case studies showing successful transitions to a green economy by implication are a dire need at this point to share practical experiences and lessons learned.More so,research on how international cooperation as well as financial mechanisms can facilitate green economic growth in developing areas should also be encouraged.

Industrial Organization in the Digital Economy Era:Evolution and Effects

Advances in digital technology and vast data applications have resulted in the emergence of the digital economy paradigm,which is a new techno-economic paradigm for the digital economy age.Under this paradigm,the industrial organization has shifted toward networked,platform-based,boundaryless,and integrated development with new characteristics.Specifically,there has been a fierce“positional arms race”fueled by financial capital,accelerating the growth of platform companies.The“hierarchical monopolistic competition”market structure has taken shape,resulting in a“coexistence without disruption”monopolistic competition.As platform businesses expand into new business sectors,competition among industrial ecosystems intensifies.Data and algorithms have become secret weapons for corporate success,allowing platform companies to expand their monopolistic forces.Industrial organization in the digital era has revolutionized the operating rules and logic of industrial economy,giving rise to new industries,business models,and paradigms,as well as being conducive to international cooperation and intelligent regulation.Meanwhile,it has introduced new challenges to socioeconomic development,making platform companies’anti-competitive and monopolistic behaviors more implicit,privacy and security concerns more conspicuous,and antitrust identification and investigation more difficult.The government should embrace the evolving trends of industrial organization in the digital economy era,accelerate regulatory transition,and strengthen governance and regulation under the digital economy paradigm.

Evolution and Governance of the Structure of Marine Economic Networks in China’s Coastal Areas: Based on Sea-related A-share Listed Companies

Data on discrete,isolated attributes of the marine economy are often used in traditional marine economic research.However,as the focus of urban research shifts from internal static attributes to external dynamic linkages,the importance of marine economic net-work research is beginning to emerge.The construction of the marine economic network in China’s coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic development.Employing data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China,we use social network analysis(SNA)to discuss the characteristics of its evolution as of 2010,2015,and 2020 and its governance.The following results were obtained.1)In terms of topological characteristics,the scale of the marine economic network in China’s coastal areas has accelerated and expan-ded,and the connections have become increasingly close;thus,this development has complex network characteristics.2)In terms of spatial structure,the intensity of the connection fluctuates and does not form stable development support;the group structure gradually becomes clear,but the overall pattern is fragmented;there are spatial differences in marine economic agglomeration radiation;the radi-ation effect of the eastern marine economic circle is obvious;and the polarization effect of northern and southern marine economic circles is significant.On this basis,we construct a framework for the governance of a marine economic network with the market,the government,and industry as the three governing bodies.By clarifying the driving factors and building objectives of marine economic network construction,this study aims to foster the high-quality development of China’s marine economy.

Rights Risks of Using Affective Computing Technology in Public Governance and Their Regulation

As the frontier of intelligent computing technology,affective computing has been used in border inspection,case investigation,crime assessment,public opinion management,traffic management and other scenarios of public governance.However,there are still public risks associated with its failure to meet the basic requirements of modern public governance,and these risks are rooted in its technical characteristics.The technical characteristics of turning emotions into signals can give rise to such problems as degrading the right to informed consent,de-governance,and undermining human dignity when applied in public governance,and consequently can lead to social rights anxiety.Additionally,the affective modeling characteristics of affective computing tend to incur the rights risks of insufficient algorithm accuracy,algorithmic discrimination,and algorithmic black boxes.To avoid these risks,it is necessary to adopt the dynamic consent model as the premise for applying affective computing in public governance,and to regulate the auxiliary application of affective computing in public governance in a hierarchical manner,to achieve a balance between the application of affective computing technology and the protection of citizens'rights and the maintenance of public ethics.

Application of Data Governance Models in the Context of the Digital Economy

In the context of the digital economy,the volume of data is growing exponentially,the types of data are becoming more diverse,and its value is increasing,often providing critical support for decision-making by enterprises and government institutions.Effective data governance is a crucial tool for maximizing data value and mitigating data risks.This article examines the application of data governance models in the digital economy,aiming to offer technical insights and guidance for data-driven enterprises and governments in China.By elevating their data governance standards in the new era,this approach will comprehensively enhance their ability to harness digital value and ensure security in the digital economy,ultimately driving the continued growth of both the digital economy and society.

Macroeconomic Asymmetries in the Eurozone Countries in the Time of Financial Crisis

This paper seeks to highlight the macroeconomic asymmetries and social impacts among eurozone countries which occurred during the time of the financial crisis,emphasising the urgent need to revise the framework of economic governance.The analysis focuses on the growing macroeconomic and social imbalances on a representative sample of selected eurozone member-states(Euro(€)North and Euro(€)South)which had posed a threat to economic sustainability and social coherence.

Cyclic adenosine monophosphate-elevating agents inhibit amyloid-beta internalization and neurotoxicity:their action in Alzheimer's disease prevention

Recently,we have found that various intracellular cyclic adenosine monophosphate(cAMP)-e leva ting agents,both pharmacological(dibutyryl-cAMP,forskolin,and rolipram)and physiological(pituitary adenylate cyclase-activating polypeptide),decrease cell-surface levels of 67-kDa laminin receptor(67LR)and cellular prion protein(PrP~C).