bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Factory Operation Management System and Innovation in the Era of Smart Manufacturing
Authors: Zhao Shan
Published: October 2024

This study is dedicated to the innovative research of smart factory operation management systems in the era of smart manufacturing. Against the backdrop of the rapid evolution of the information revolution, smart manufacturing, represented by a new generation of information technologies such as mobile Internet, big data, and artificial intelligence, is rapidly emerging. As an information-physical fusion system, smart factories interpenetrate physical and virtual resources by interweaving multi-scale production systems, forming an open, complex giant system with multiple levels and dimensions. It is found that smart factories face a complex and variable structure, and their production and operations involve a large number of cross-domain, cross-industry, and cross-region manufacturing resources, requiring the establishment of a new operation management system framework and breakthroughs in key theories and methods. This study provides comprehensive and in-depth theoretical and technical support for constructing a smart factory operation management system. It lays the foundation for the smart upgrading of the manufacturing industry.
The Impact of ESG Standards and Investment : Global Trends and Practices
Authors: Yan Yunqi
Published: October 2024

In recent years, ESG (Environmental, Social, and Governance) investment has significantly integrated into investment strategies worldwide. The concept of ESG investing is not merely a fleeting trend but rather an essential tool for investors looking towards sustainable and responsible investment practices. With the evolution and adoption of ESG investments in the global market, a thorough examination of ESG investment practices reveals valuable insights. Nowadays, in economic landscape, the emphasis on ESG factors in investment decisions continues to grow, underscoring the importance of responsible investing practices in fostering long-term value creation and societal impact. This study offers noteworthy recommendations regarding ESG investment standards, aiming to drive improved ESG performance within enterprises. By adhering to robust ESG criteria, organizations can access enhanced financial prospects, paving the way for them to garner increased social recognition. Besides, this paper also put forward countermeasures and suggestions for China's ESG to improve China's ESG information disclosure system and the awareness of ESG.
Development Strategies for Service-based Human Resources Business in Digital Age: The Case of Leadership Factory
Authors: Li Shuo
Published: October 2024

Abstract: This research mainly takes the leadership factory as an example and, through analysis, points out the future development path for service human resources business. During the COVID-19 period, the development of the human resources industry was hindered, as reflected in the development of products, markets, and human resources itself. Service human resources companies have seized the most important product demand during COVID-19 and completed product changes. However, with the end of the epidemic era, market saturation also means that products need to be updated and iterated accordingly. Market diversity, uncertainty, and the development of the times have brought difficulties and risks to enterprises. Therefore, companies need to gain a foothold in the new era market. This study found that companies can specify their future development plans through five aspects: digital technology, diversification, professional capabilities, market penetration, and sustainable development capabilities. This research conference provides ideas for the future development of most service-type human resources business.
The Impact of Communication Skills on Work Performance in Team Collaboration
Authors: Wang He
Published: October 2024

Abstract: Team collaboration is one of the increasingly important forms of work today. People also pay more attention to the factors that affect work performance in team collaboration. This article mainly studies the impact of communication skills on work performance in team collaboration. The factors that affect communication skills and the elements that communication skills can influence are also mentioned in this article. The main conclusion is that communication skills in team collaboration have a positive impact on work performance. Both personal factors and external factors can affect communication skills in team collaboration. There are various methods such as improving language expression ability, creating a comfortable communication atmosphere, and establishing more channels for work or emotional communication can help enhance peoples communication skills in team collaboration. Through these improvement measures, peoples work performance can also be improved.
Advancing Organizational Effectiveness Through Strategic Workforce Planning and Technology Integration
Authors: Wang Ao
Published: October 2024

Abstract: This comprehensive examination delves into the pivotal roles of strategic workforce planning and technological advancements in bolstering organizational effectiveness. Spanning various critical dimensions such as human resource demand forecasting, strategic recruitment and selection, employee training and development, diversity and inclusivity, and the integration of technology in HR practices, the paper articulates a multi-faceted approach to optimizing workforce capabilities. By leveraging predictive analytics, organizations can forecast future employment needs, while AI-enhanced recruitment processes streamline candidate selection, ensuring alignment with organizational goals. The deployment of advanced training methodologies, coupled with a focus on creating a diverse and inclusive work environment, not only enriches organizational culture but also drives innovation and improves overall performance. The paper further explores the strategic use of HR analytics, AI in recruitment, and digital platforms in employee development and engagement, highlighting their significance in adapting to the evolving work landscape. Through an in-depth analysis, it becomes evident that the integration of strategic HR planning and cutting-edge technologies is not merely an option but a necessity for organizations aiming to thrive in the competitive global market.
ESG Information Disclosure and Innovation in New Energy Enterprises: A Case Study of CATL
Authors: Chen Yuxiang , Su Xinyi , Huang Nanxi
Published: October 2024

Abstract: In recent years, ESG (Environmental, Social, and Governance) information disclosure and related ratings have garnered increasing attention from the public and enterprises. ESG information disclosure has gradually become an important way for enterprises to fulfill social responsibility. It not only meets the information needs of various stakeholders but is also closely related to corporate innovation, bearing significant implications for long-term corporate development. This paper employs a combination of literature research and case study methods, selecting CATL (Contemporary Amperex Technology Co., Limited), a representative enterprise in the new energy sector, as a typical case study. By analyzing data and business activities from CATLs ESG reports over the past five years, the relationship between ESG information disclosure and corporate innovation is explored. Additionally, this study incorporates LONGi Green Energy, another industry benchmark, for horizontal comparative analysis to reinforce the research findings. Based on the existing conclusions, the paper further delves into the long-term impacts of the mechanism of ESG information disclosure and corporate innovation. The research results indicate that ESG information disclosure can promote corporate innovation, fostering a virtuous cycle between the two and laying a foundation for the future development of enterprises.
A Comparative Study on ESG Information Disclosure by Multinational Corporations and Analysis of Influencing Factors
Authors: Zhao Yiming , Luo Manyin , Zhang Wanting
Published: October 2024

Abstract: As globalization and the concept of sustainable development continue to deepen, environmental, social, and governance (ESG) issues are increasingly becoming the focus of global attention. Multinational corporations, as key players in the global economy, have significant roles in promoting sustainable development and enhancing corporate transparency through ESG information disclosure. By collecting and analyzing ESG reports from multiple multinational corporations, this study finds that there are significant differences in ESG information disclosure among these corporations, and many factors have substantial impacts on such disclosures. Consequently, domestic and international institutions and organizations need to further strengthen cooperation and exchange to establish information disclosure standards that align with practical development needs, thereby constructing an ESG information disclosure framework that meets social development requirements.
Study on the Influence of Star Activity on Economic Pull
Authors: Fei Xiaoke
Published: October 2024

Abstract: With the change in times, the business model of star activities presents the characteristics of rich diversity and innovation. The rapid development of the entertainment industry makes the star activities gradually become a significant commercial phenomenon, and the commercial value behind it is increasingly prominent. The goal of this paper is to find ways to drive the economy by studying the impact of star activities on the economy. This paper mainly uses Taylor Swift's "The Eras Tour" as the case to analyze the main business model of star activities, and the impact of star activities on the prosperous age economy. The research on its impact mainly focuses on where the impact on international tourism and the pattern of the economy are mainly reflected. Through research, it is found that the star activity is the economy, and the economic recovery needs a prosperous economy, and the star activity, as the representative of the prosperous economy, is the main force to promote the economy. Through the research, the cooperation between the government and the stars has a great role in promoting the economy. This study not only allows us to identify the main business model of star activities but also to find out the impact of the nature of star activities on people's lives and even on the global economy. To better grasp the economic trend and better economic development.
An Analysis of Tesla's Disruptive Innovation Strategy
Authors: Xiao Nan
Published: October 2024

With the rapid development of new energy vehicles, governments and automobile manufacturers are generally aware that environmental protection is an important direction for the development of the future automotive industry, and Tesla, as a representative of the global new energy electric vehicles, has great research significance. In the fierce environment of the automobile market, Tesla has won the leadership position with many innovations. Therefore, the company is considered a disruptive innovation by the public. This paper focuses on whether Teslas innovation is disruptive innovation, and studies Teslas disruptive innovation strategy through literature reading and qualitative analysis. This paper discusses the definition of disruptive innovation, Teslas current innovation status and explores the difference between it and incremental innovation. This paper draws the conclusion that Tesla is a disruptive innovation by considering whether it creates a value network as a breakthrough point. Finally, the paper puts forward some suggestions, including extending the product line, adjusting its price to maintain its competitive advantage and innovation, adjusting the channel level based on local markets, provide more extreme and detailed experiential marketing and after-sales service, so as to promote Tesla's sustainable innovation.
A New Entrepreneurial Opportunity - The Commercial Viability of Recycling and Processing Wasted Food
Authors: Zhu Huateng
Published: October 2024

Abstract: Food waste is a serious problem faced by today's society, leading not only to wasted resources but also to negative environmental and economic impacts. In order to solve this problem, a business model that uses wasted food resources to produce animal feed and agricultural fertilisers has attracted much attention. The aim of this paper is to overview the feasibility of this business model and discuss it in depth. Firstly, this paper analyses the global and Chinese food waste situation. It is estimated that about 13 billion tonnes of food are wasted globally every year, and the problem of food waste is also growing in China. Rapid urbanisation and changes in dietary structure are among the main reasons for the increase in food waste in China. The paper then analyses the impact of market demand and policy support on the business model. With the emphasis on environmental protection and sustainable development, the demand for environmentally friendly products is increasing, providing favourable conditions for the development of this business model. Meanwhile, government policy support is also an important factor in promoting the development of the business model. Finally, this paper assesses the feasibility and sustainability of the business model. Although there are some challenges associated with this model, such as technological innovation and marketing, it is expected to be successful and contribute to solving the food waste problem through the joint efforts of the government, enterprises and the community.
The Influence of ESG Factors on Portfolio Performance Based on the Perspective of Markowitz Portfolio Theory
Authors: Wang Fuyuan
Published: October 2024

Abstract: In this paper, the inclusion of Environmental, Social, and Governance (ESG) factors in portfolios is investigated to determine their impact on portfolio performance and its mechanism. Based on the data collected by Bloomberg for 10 stocks from 2003-2023 and Markowitz's portfolio model, it is found that: (1) the inclusion of ESG constraints negatively affects portfolio performance; (2) the inclusion of ESG constraints shifts the GMVP to the right and reduces the convexity of the efficient frontier, thus lowering the portfolio's performance. This study enriches the literature on the factors affecting portfolio performance as well as responsible investment and ESG investment, and is of value to investors or organizations in making investment strategy choices.
Digitizing Agriculture: Strategic Insights into Traditional Challenges and Modern Management Solutions
Authors: Wu Jiahang
Published: October 2024

Abstract: This study systematically analyzes key factors influencing the digitization of agriculture and offers practical management recommendations. Through an in-depth examination of traditional agricultural issues, it identifies significant challenges such as low production efficiency, improper resource utilization, insufficient environmental monitoring capabilities, and a lack of financial and technical support. The digitization of agriculture significantly enhances production efficiency by integrating advanced technologies like the Internet of Things (IoT), remote sensing, big data, and artificial intelligence. The expansion of these technologies can effectively increase crop yields, reduce resource waste, and strengthen farmers adaptive capabilities. Looking ahead, digital management in agriculture should further promote the integration of different data sources for more comprehensive decision-making. Additionally, the development of intelligent systems with self-learning capabilities is essential for improving the accuracy and efficiency of decision-making processes. Research on and promotion of eco-friendly agricultural technologies to steer agriculture toward sustainable and green development should also be a priority for future initiatives.
The Impact and Challenges of Digital Transformation on Supply Chain Resilience in Physical Enterprises
Authors: Li Ruihan
Published: October 2024

Abstract: In the digital era, supply chain resilience (SCR) has become a key pillar of the real economy. Enterprises face various challenges, including cybersecurity threats, market volatility, technological change and changing global conditions. A strong SCR not only ensures continued business operations but also maintains market stability and consumer well-being. Digital transformation helps businesses anticipate market changes, optimize inventory management, improve operational efficiency, and assist in management decisions when necessary by providing unprecedented data transparency and real-time insights. The purpose of this paper is to examine the extent of digital transformation in the supply chains of physical firms globally through a literature review, to identify the factors influencing the resilience of digital transformation in the supply chains of physical firms, and to discover the barriers to digital transformation in the supply chains of physical firms. The study finds that the digital transformation of physical firms' supply chains is still in its infancy, and there are barriers at both managerial and physical levels. Solutions to address these barriers include enhancing employee training, correctly introducing appropriate digital technologies, and improving information security.
Digital Transformation in Manufacturing Enterprises: Unveiling the Path to Innovation and Efficiency
Authors: Xiao Xuyang
Published: October 2024

Abstract: With the development and advancement of technology, the manufacturing industry has undergone a major transformation in recent years. The emergence of digital transformation has become a defining force in the global manufacturing landscape, reshaping traditional paradigms and driving companies toward greater efficiency and innovation. This study delves into the far-reaching impact of digitalization on manufacturing companies, combining a comprehensive analysis of several Chinese companies. By seamlessly integrating advanced digital technologies such as the Internet of Things, big data analytics and artificial intelligence into traditional manufacturing processes, companies are opening up new realms of productivity and competitiveness. However, the road to digital integration is challenging, and companies need to deal with technical challenges and organizational resistance. This study illuminates the path for manufacturing companies to thrive in digitalization through empirical insights and strategic recommendations. By fostering a culture of innovation, optimizing productivity and expanding market reach, digital transformation becomes a key underpinning for sustainable growth in manufacturing.
Optimizing Business Processes: Harnessing Robotic Process Automation in Chinese Enterprises
Authors: Tan Xiangzhou
Published: October 2024

Abstract: With the continuous development of science and technology, the study of digital technology in China has become increasingly in-depth. As an effective means for enterprises to achieve automated management and standardized operations, Robotic Process Automation (RPA) has attracted widespread attention. RPA process automation technology can improve the efficiency of financial management and ensure the quality of work while meeting enterprise development needs. This study explores the multifaceted applications and impact of RPA in the financial shared services sector. By utilizing RPA, companies can streamline processes, reduce costs and increase overall operational flexibility. The study delves into the theoretical underpinnings of RPA adoption, drawing on concepts such as economies of scale, process reengineering and information processing theory. In addition, the paper illuminates the transformative impact of RPA on business operations through field case studies, including the pioneering efforts of Sinochem International. By providing a comprehensive analysis of the pros and cons of RPA implementation, this paper provides valuable insights for Chinese companies seeking to optimize their business processes and embrace the era of intelligent automation.
Research on Overreaction of CHINA GEM -- Based on Investor Sentiment
Authors: Wu Hongliang
Published: October 2024

Abstract: As countries and regions become more interconnected through the Internet, the impact of infectious public health events is no longer confined to the local area, and it can also spread to other regions through the Internet. The COVID-19 broke out in early 2020 and soon formed a major public health event. Overreaction, one of the common anomalies in the financial market, often occurs after major events, so it is necessary to explore whether there is an overreaction during the epidemic. This paper studies the phenomenon of overreaction in the GEM market in the short, medium and long term. It compares the characteristics of overreaction in the GEM market before and after the epidemic. This paper finds an overreaction phenomenon in China's GEM market before and after the epidemic.
Microsoft's Strategic Advantage: An In-depth Analysis Based on Porter's Five Forces Model
Authors: Feng Yuchen
Published: October 2024

Abstract: This article uses Michael Porter's five forces model to analyze Microsoft's competitive situation in the global technology industry. It emphasizes that Microsoft has maintained its industry leadership by continuously innovating its technology and being keenly aware of market changes. The analysis covers Microsoft's strategies in facing market competition, the threat of new entrants, the challenge of substitute products, the bargaining power of suppliers and buyers, and its impact on the company's performance. The study pointed out that Microsoft has established high barriers to entry in its main business areas, thereby effectively preventing the entry of new competitors. The article also analyzes how Microsoft maintains its competitive advantage and market leadership through product differentiation, innovation, flexible pricing strategies, and the ability to adapt to market structure. Although Microsoft faces many challenges, it has successfully maintained its competitiveness in the global market through solid R&D capabilities, an extensive product portfolio, deep market penetration, and an active response to changes globally.
Capital Structure and Enterprise Market Value: An Empirical Analysis Based on S&P 500 Companies
Authors: Ding Lake
Published: October 2024

Abstract: This study explores the impact of capital structure on enterprise market value, specifically examining the influence of the debt ratio on the market valuation of S&P 500 companies. Capital structure decisions are crucial for corporate managers and investors, as they significantly affect firm performance, risk, and market perception. The research is motivated by the need to understand how financial leverage influences market valuation, particularly in large, publicly traded companies. Utilizing two-way fixed effect panel data models spanning from 2020 to 2023, we find significant evidence that higher leverage is associated with an increase in market valuation, offering a comprehensive view of the factors that influence corporate market values. Additionally, the study reveals that the impact of leverage varies across company sizes and examines sector-specific effects and the role of long-term debt. The findings provide key insights for investors and corporate managers regarding the impact of financial structure on company valuation, emphasizing the importance of optimizing capital structure to enhance firm value and strategic decision-making.
Resilience enhancement for interdependent power systems by AI-assisted disaster response
Authors: Yang Legend
Published: October 2024

The failure of urban Electrical Distribution Systems (EDSs) can lead to direct or indirect consequences for their interdependent critical infrastructures, for example, the hospitals, the fire department, etc., negatively affecting the well-being of citizens in the city. To improve the resilience of the coupled power network, the Operational Interdependence Simulator (OIS) is proposed to help prioritize the queue of failure recovery and Minimum Spanning Tree and Shortest Path Tree topology reconfiguration to minimize critical load downtime. Additionally, AI agents are introduced to assist decision-making processes. By utilizing machine learning and training in thousands of offline scenarios, the system can be used for real-time calculation of the optimal recovery paths when given the number and location of electrical faults. The IEEE 70-node distribution system case validated the high prediction accuracy and post-disaster topology reconfiguration while considering the interdependencies.
SignifAI: French sign language translation based on deep learning and large language models
Authors: Dong Jiarui
Published: October 2024

In this project, we propose SignifAI which is an AI-powered software that translates French Sign Language into spoken French. The goal of SignifAI is to remove the language barrier that separates the deaf and hearing communities. The translation process proves to be a major challenge for existing methods, as most of them rely on traditional Natural Language Processing (NLP) methods which solve the task in a similar way as spoken languages (e.g., paying more attention to the logics and reasoning). The drastic syntactical difference between sign and spoken languages, however, makes such approaches not as effective and efficient. In SignifAI, we propose to leverage a combination of deep learning models for sign gesture recognition and large language models (LLM) for sentence generation from recognized words. The former allows for precise detection of individual words, while the latter takes the recognized words as inputs and returns a fluently reformulated translated sentence. With extremely limited data available for French sign language, we created our own enhanced dataset through synthetically augmenting existing videos. Utilizing the SlowFast model for this task, we have achieved a maximum test accuracy of 98.9%, and a fluid translation process after implementing ChatGPTs API. The potential applications of SignifAI range from aiding communication between the deaf and the hearing, to helping the deaf place phone calls in numerical services. Ultimately, SignifAI strives to improve all aspects of a deaf persons life, and compensates for their speaking disabilities.
Time-series water prediction based on feature clustering fusion and XGboost
Authors: Liu Chenchen
Published: October 2024

Abstract. The time series prediction problem has a very wide range of applications in many fields. Most scholars use the LSTM class of algorithms for prediction. However, this method consumes a significant amount of computational power and presents several challenges. To address this issue, this paper proposes a time series forecasting method based on feature fusion and XGBoost. Specifically, we first utilize holiday information and the K-Means algorithm for feature extraction to expand the feature dimensions of the dataset, and then employ XGBoost as a model for training and prediction. Experiments demonstrate that the method proposed in this paper significantly reduces error compared to other traditional machine learning and deep learning methods, while the training time is much shorter than these methods. For example, compared with LSTM, the MSLE of this model decreases by 1.42%, while the training time is only 0.15% of that of LSTM. This greatly saves on training costs and computational power consumption. This confirms the effectiveness of using machine learning and clustering algorithms in time series prediction and provides new methods and practical application directions for future time series prediction models.
An overview of machine learning applications in elastic power systems
Authors: Zhao Yu
Published: October 2024

Abstract. With the development of economy and the access of renewable energy, the power system is facing new challenges. Machine learning provides a new way for the intelligent management of power system through big data analysis, pattern recognition and predictive modeling. This paper reviews the application of machine learning technology in elastic power system, including load forecasting, transient stability assessment, intelligent scheduling and fault diagnosis. Machine learning will better improve the stability, reliability and economic benefit of the system. Future research will focus on algorithm optimization, model adaptability improvement and integration with traditional power system knowledge to promote the development of power system to a higher level of intelligence and automation.
Yksityisen turvallisuusalan toimijoiden käsityksiä toimintakentästään julkisen ja yksityisen vallan rajapinnoilla
Authors: Soitamo Leo , Saarikkomäki Elsa
Published: October 2024

Yksityisen turvallisuusalan kasvu ja laajentuminen perinteisesti poliisille kuuluvalle julkiselle toimintakentälle on merkittävä yhteiskunnallinen muutos. Alan tutkimus on kuitenkin ollut vähäistä eikä toimintakenttää tai suhdetta julkiseen valtaan tunneta tarkasti. Artikkelin tavoitteena on selvittää, minkälaisiksi yksityisen turvallisuusalan toimijat kokevat ammatti-identiteettinsä ja työtehtävänsä erityisesti suhteessa poliisiin. Aineistona käytetään alalla pitkään työskennelleiden vartijoiden ja järjestyksenvalvojien laadullisia teemahaastatteluja. Tulosten mukaan yksityisen turvallisuusalan toimijat eivät koe korvaavansa poliisia, vaan täydentävänsä poliisitoimintaa. Yhteistyö on tiivistä, mutta siinä löytyi myös säröjä. Työtehtävät kohdistuivat usein julkisessa tai puolijulkisessa tilassa oleileviin ryhmiin, lähinnä nuoriin ja päihteidenkäyttäjiin. ”Harmaan alueen” eli laissa sääntelemättömän alueen koettiin lisäävän liikkumavaraa silloin, kun toimivaltuuksia pidettiin toimimattomina. Tällä tarkoitettiin sitä, ettei kaikille toimenpiteille ollut välitöntä oikeusperustaa lainsäädännössä. Tätä voi pitää ongelmallisena alan valvonnan ja lainsäätäjän määrittelemän toimenkuvan kannalta. Lisäksi suostuttelua ja keskustelua, eli pehmeää vallankäyttöä käytettiin puuttumistilanteissa. Koska kotimaista tutkimusta ei aihepiiristä juuri ole, tuloksia verrataan kansainväliseen kriminologiseen tutkimukseen. Argumentoimme, että tarvitsemme laajempaa ymmärrystä yksityisestä turvallisuusalasta ja sen suhteesta julkiseen valtaan, sillä muutokset rikoskontrollissa ja julkisen tilan hallinnassa ovat merkittäviä. Tulosten avulla yksityisen ja julkisen rikoskontrollin suhteita voidaan ymmärtää moninaisemmin ja arvioida yksityisen turvallisuusalan vallankäytön keinoja, rajapintoja ja rajoja.
Derbent’s underwater cultural heritage as a tourist resource
Authors: Eldarov Eldar M. , Fazlullin Sergey M.
Published: October 2024

The article reflects the results of expeditionary works on revealing and studying historical artifacts on the bottom of the Caspian Sea near Derbent—the southernmost and most ancient city of Russia. The approaches to geographical study and mapping of the remains of ancient fortification architecture under water and other numerous finds of scuba divers in the area under consideration are described. The authors analyzed the specifics and results of underwater archaeological research from the point of view of the prospects for the development of diving tourism in the Derbent water area. The article also concludes that it is advisable to strengthen the integration of Dagestan historical and geographical science, which will allow researchers to reconstruct little-known pages of history with greater depth and accuracy. The constructive section of the article is devoted to the development of recreational diving and underwater museology in Dagestan, as well as to the general outlines of the underwater park project on the very southern coast of Russia.
The Application of Receptor Modeling to Air Quality Data
Authors: K. Hopke Philip
Published: October 2024

Receptor modeling is the application of data analysis methods to elicit information on the sources of air pollutants. Typically, it employs methods of solving the mixture resolution problem using chemical composition data for airborne particulate matter samples. In such cases, the outcome is the identification of the pollution source types and estimates of the contribution of each source type to the observed concentrations. It can also involve efforts to identify the direction of local sources using wind directions or the locations of distant sources through the use of ensembles of air parcel back trajectories. In recent years, there have been improvements in the factor analysis methods that are applied in receptor modeling as well as easier application of trajectory methods. These methods are now in widespread use. The theoretical basics of the methods will be presented and the recent literature will be reviewed.
De l’hygiénisme à la santé environnementale, regards sur la ville
Authors: Barles Sabine
Published: October 2024

L’hygiénisme naît à la fin du xviiie siècle en Europe dans un contexte de néo-hippocratisme : les milieux jouent un rôle essentiel dans la pensée médicale – le sol parce qu’il est corrompu, l’air parce qu’il véhicule les miasmes délétères, le climat et les météores parce que la constitution atmosphérique affecte la constitution humaine. Un consensus émerge, non seulement chez les médecins mais aussi dans la communauté scientifique et intellectuelle, selon lequel la conservation de la santé passe par une rectification du milieu. Ce discours est particulièrement développé en ce qui concerne les villes, frappées de surmortalité. Il conduit les médecins à penser la ville saine : une ville ouverte, dotée de rues larges, droites et imperméables, de trottoirs, d’une eau propre qui lave, l’eau sale étant évacuée au plus vite, de cheminées bien disposées pour l’évacuation des fumées, de laquelle les activités insalubres ont été éloignées ou au moins isolées, où la végétation point trop abondante pour ne pas favoriser l’humidité contribue au renouvellement de l’air. Cette rectification du milieu est intense au xixe siècle et se poursuit pendant une bonne partie du suivant. Cependant, la médecine s’est éloignée de ses bases environnementales et de ses préoccupations mésologiques. L’hygiène extérieure est progressivement devenue affaire de techniciens, d’ingénieurs, d’hydrologues, d’aménageurs qui ont mis en œuvre le projet des médecins néo-hippocratiques. La disparition de la surmortalité urbaine au tournant des xixe et xxe siècles parachève le tableau : au xxe siècle, la médecine n’a plus besoin d’être environnementale dans les pays développés et tempérés. Ce n’est qu’à la fin du siècle dernier que l’identification d’une nouvelle surmortalité urbaine et l’identification de cas de morbidité par le milieu conduit le corps médical à repenser le milieu extérieur.
La biosurveillance végétale de la qualité de l'air se normalise
Authors: Louis-Rose Sébastien , Galsomiès Laurence
Published: October 2024

Bien qu’étudiée depuis plusieurs décennies, la bio surveillance dans le domaine de l’air en France voyait son utilisation limitée principalement à des fins de recherche. Les différentes réglementations en vigueur n’ont par ailleurs jamais vraiment reconnu la biosurveillance de l’air comme outil utile à leur mise en œuvre. La mise en place d’une démarche de normalisation est donc apparue nécessaire pour assurer la diffusion de ces méthodes issues des laboratoires de recherche vers les opérateurs de la surveillance de la qualité de l’air. La France s’est ainsi dotée en 2008 de quatre premières normes de biosurveillance de l’air, grâce aux efforts consensuels menés au sein de la commission de normalisation AFNOR/T95AIR qui regroupe toutes les parties intéressées par ce domaine. Toujours active, cette commission travaille depuis 2008 à l’élaboration de trois nouvelles normes françaises, alors que la normalisation de la biosurveillance de l’air atteint une nouvelle échelle en devenant européenne avec les travaux du Comité Européen de Normalisation, CEN : d’ici 2013, il est prévu que soient publiées quatre normes européennes de biosurveillance de la qualité de l’air.
Connaissances sur les enjeux environnementaux et climatiques des particules
Authors: Coll Isabelle
Published: October 2024

Les particules atmosphériques sont un élément central des problématiques environnementales, de par leur impact majeur sur la qualité de l’air et leur forte participation au changement climatique. Ces deux volets de l’évolution de notre environnement étant en outre intimement liés par des jeux d’actions et de rétroactions, les efforts faits pour améliorer la qualité de l’air ne sont pas sans incidence sur le climat, et inversement. En outre, l’impact des aérosols sur le changement climatique est associé à une des incertitudes les plus fortes des projections du climat futur. Il existe donc bien un véritable enjeu à connaître et modéliser finement les processus d’interaction des aérosols avec le système atmosphérique, ainsi que les impacts environnementaux intégrés du contrôle des émissions de particules, avant de mettre en place des politiques environnementales coûteuses, contraignantes et qui touchent à la santé publique.
Niveaux de particules dans les environnements intérieurs en France
Authors: Ramalho Olivier , Lucas Jean-Paul , Mandin Corinne , Derbez Mickael , Kirchner Séverine
Published: October 2024

L’état des connaissances actuelles sur les niveaux de particules dans les différents environnements intérieurs est présenté au niveau de la France. La contribution des sources intérieures et extérieures est variable selon l’environnement et la taille des particules considérés. Il est nécessaire de développer des études pour combler le manque de connaissances sur la pollution particulaire dans les écoles et les bureaux, sur la caractérisation de la phase organique des particules des environnements intérieurs et sur les moyens à mettre en œuvre pour se protéger des particules fines provenant de l’extérieur tout en assurant une ventilation suffisante des locaux.
CẤU TRÚC GIA ĐÌNH VÀ TƯ TƯỞNG ĐIỆN ẢNH TRONG PHIM CỦA ĐẠO DIỄN LÝ AN: GIỮA HAI THẾ GIỚI
Authors: Vân Phan Thu
Published: October 2024

Bài viết phân tích cấu trúc gia đình phổ biến trong phim của đạo diễn Lý An về đề tài gia đình (Thôi thủ (1991), Hỷ yến (1993), Ẩm thực nam nữ (1994)) và chia các cấu trúc này ra làm 3 loại: cấu trúc thiếu khuyết, cấu trúc hoán đổi và cấu trúc dung hợp. Bài viết cũng đi sâu tìm hiểu cách mà đạo diễn Lý An dùng phim của mình để bày tỏ những ý tưởng về nỗ lực dung hoà tư tưởng Đông – Tây cũng như tư tưởng truyền thống và hiện đại trong một số gia đình châu Á.
Năng Lực Tổ Chức và Quản Lý Dạy Học Qua Mạng của một số Cơ Sở Giáo Dục Đại Học
Authors: Khuong Nhu Nguyen  , Thuy Thanh Nguyen  , Tuan Van Nguyen
Published: October 2024

Dạy học qua mạng (DHQM) là một hình thức dạy học được được phát triển vào cuối những năm 1990 với công nghệ Internet và siêu văn bản. Các ứng dụng DHQM được đặt tập trung trên máy chủ web của nhà cung cấp dịch vụ giáo dục và người học có thể truy cập [1]. DHQM đã được ứng dụng rộng rải ở các cơ sở giáo dục, đặc biệt là giáo dục đại học ở các nước phát triển. Ở Việt nam được triển khai rộng trong thời gian gần đây. Đã có một số công trình nghiên cứu về quản lý DHQM của cơ sở giáo dục đại học như của Trần Thị Lan Thu [2], và nghiên cứu về tổ chức dạy học qua mạng của giáo viên nhưng chưa có đề tài nghiên cứu đánh giá về năng lực tổ chức và quản lý DHQM của các cơ sở giáo dục đại học. Bài viết này làm rõ cơ sở lý luận về năng lực tổ chức, quản lý DHQM của cơ sở giáo dục đại học từ đó đánh giá thực trạng về năng lực tổ chức, quản lý DHQM của một số cơ sở giáo dục đại học thông qua phương pháp điều tra bằng bảng hỏi và phỏng vấn giáo viên và cán bộ quản lý. Kết quả nghiên cứu đã chỉ ra một số hạn chế về năng lực tổ chức, quản lý DHQM của các cơ sở giáo dục đại học.
Thử Nghiệm Mô Hình Sản Xuất Video Từ Xa Qua Mạng 5G cho Chương Trình Thể Thao tại VTV
Authors: Phong Nguyen-Huu  , Ha Tuan Dung  , Ho Anh Vu  , Khuong Ho-Van  , Pham Thanh Hoa
Published: October 2024

Bài báo này trình bày kết quả thử nghiệm ứng dụng công nghệ 5G cho sản xuất video từ xa (SXTX) được thực hiện tại Đài Truyền hình Việt nam (VTV). Mô hình thử nghiệm sử dụng camera truyền video qua mạng 5G để sản xuất chương trình thể thao trực tiếp tại SEA Games 31 cho môn thi đấu Golf. Một số kết quả đo kiểm chất lượng video và thông số mạng 5G cho SXTX được trình bày. Kết quả thử nghiệm chương trình thể thao với 4 camera kết nối bộ 5G cho sản xuất video trực tiếp. Sử dụng 2 SIM/1 Modul 5G kèm theo camera để capture tín hiệu video. Ở phía thu (Phòng điều hành sân Golf Đầm Vạc, Vĩnh Phúc) dùng 1 bộ decoder giải mã tín hiệu ra luồng SDI đưa đến video switcher, CG, bộ làm chậm,…Kết hợp với hệ thống âm thanh để bình luận. Tín hiệu đồng bộ thực hiện qua bộ Decoder. Video thử nghiệm với codec H.265, tốc độ bit Uplink/1 camera là 15.6 Mbps, với độ trễ 700ms (encoder-decoder). Một số kết quả đạt được ban đầu minh chứng cho khả năng sử dụng 5G cho SXTX một số môn thể thao tại VTV. Ngoài ra, kết quả thử nghiệm cũng giúp các nhân viên kỹ thuật sản xuất chương trình kiểm tra và đánh giá các thông số thiết lập video/audio nhằm đảm bảo các yêu cầu tối thiểu về chất lượng cho sản xuất và phân phối chương trình HD sử dụng HEVC codec đường uplink qua mạng 5G.
Thiết Lập Hệ Thống Thử Nghiệm Mô-Đun Điều Khiển Động Cơ Bằng Phương Pháp Giả Lập Tín Hiệu Cảm Biến
Authors: Quang Vu Le
Published: October 2024

Bài báo này trình bày kết quả nghiên cứu thiết lập hệ thống giả lập tín hiệu động cơ kích hoạt quá trình hoạt động điều khiển của PCM (Powertrain Control Module). Các tín hiệu và giá trị giả lập được nhận diện, thiết lập dựa vào thông số kỹ thuật của dòng xe cụ thể. Từ đó hệ thống sẽ giả lập các thông số tương đồng với thực tế gửi tới các ngõ vào của PCM. Các tín hiệu điều khiển ngõ ra được hệ thống Ni-CompacRio kèm với Card chuyên dụng thu thập, đo lường và đưa ra thông số hiển thị trên giao diện máy tính lập trình bằng phần mềm LabVIEW nhằm hiển thị thông số quá trình điều khiển các bộ chấp hành tương ứng với chế độ cài đặt ngõ vào. Bên cạnh đó, hệ thống có cổng kết nối OBD2 (On-board Diagnostics) cho phép một máy chẩn đoán thông thường kết nối với PCM đọc các mã lỗi và dữ liệu hoạt động. Nghiên cứu bước đầu thử nghiệm thành công bộ PCM trên xe Kia Morning thế hệ thứ 2. Kết quả cho thấy hệ thống giả lập có thể kích hoạt và đo lường được một số chế độ điều khiển cụ thể để kiểm tra các thông số hoạt động đồng thời đánh giá chương trình và thuật toán điều khiển. Hơn thế nữa, các thông số hiển thị và dữ liệu từ máy chẩn đoán có thể phục vụ cho công tác đào tạo về hệ thống điều khiển động cơ.
Bồi Dưỡng Năng Lực Tổ Chức Hoạt Động Tạo Hình Định Hướng Tiếp Cận Giáo Dục STEAM cho Giáo Viên Mầm Non
Authors: Nao Thi Diem Tuy  , Bui Van Hong
Published: October 2024

Nghiên cứu này xây dựng và thực hiện chương trình bồi dưỡng nhằm nâng cao năng lực tổ chức các hoạt động nghệ thuật cho giáo viên mầm non dựa trên phương pháp giáo dục STEAM (Khoa học, Công nghệ, Kỹ thuật, Nghệ thuật và Toán học), được thực hiện qua các bước sau: (1) Khảo sát thực trạng năng lực tổ chức hoạt động nghệ thuật của giáo viên mầm non và hiểu biết của họ về giáo dục STEAM; (2) Việc thiết kế chương trình bồi dưỡng dựa trên dữ liệu khảo sát, để đảm bảo tính phù hợp và thiết thực với nhu cầu của giáo viên mầm non; (3) Tổ chức hoạt động đào tạo giáo viên và đánh giá kết quả. Nghiên cứu sử dụng cả phương pháp định tính để thu thập và phân tích dữ liệu. Kết quả nghiên cứu sẽ cung cấp bằng chứng về tính hiệu quả của chương trình bồi dưỡng, từ đó đưa ra các giải pháp nâng cao năng lực cho giáo viên mầm non trong việc tổ chức các hoạt động nghệ thuật phù hợp với phương pháp giáo dục STEAM, góp phần nâng cao chất lượng giáo dục mầm non và đáp ứng nhu cầu phát triển chuyên môn của giáo viên trong bối cảnh đổi mới giáo.
Histopathological Spectrum of Interface Dermatitis in a Tertiary Care Center
Authors: Poudel Jwalanta , Jha Abhimanyu , Manandhar Usha , Paudel Upama , Bhatta Uma
Published: October 2024

Background: Interface dermatitis (ID) is a histomorphological tissue reaction pattern that involves dermoepidermal junction of skin. Varieties of cutaneous lesions fall under primary ID which has to be differentiated from secondary ID. Aim: This study was undertaken to evaluate the histopathological spectrum of ID and compare them in relation to age, sex and anatomical site along with clinicopathological correlation. Material and method: This is a one year prospective cross sectional study done at Department of Pathology of Tribhuvan University Teaching Hospital, which included 69 cases of skin biopsies with histological features of ID. Results: Out of 650 skin biopsies, 69 cases were diagnosed as primary ID. Most common age of presentation was 21-40 years. Male to female ratio was 1:1.5. Lichen planus and variants were the commonest ID (63.8%) with widest anatomical distribution, followed by discoid lupus erythematosus (15.9%) and pityriasis lichenoides chronica (8.7%). The most consistent histopathological findings of IDs were basal layer vacuolation and interface inflammation. Clinicopathological concordance was seen in 79.7% of cases. Conclusion: Distinctive histopathological features of basal layer vacuolation and interface inflammation involving dermoepidermal junction were valuable in arriving at diagnosis of various lesions of interface dermatitis. However, histopathological categorization of ID should be done in a clinical context because of overlapping clinical and histological features and for guiding appropriate therapy.
Public Opinion Data and Policymaking During COVID-19 and Beyond: Insights from Interviews Across Policy and Politics
Authors:   Monash Sustainable Development Institute, Bragge Peter , Mendoza Alcantara Alejandra
Published: October 2024

The use of Public Opinion Data (POD) in decision making and policy development processes was highly significant during the COVID-19 pandemic. The Australia and New Zealand School of Government partnered with the Australian Public Service Commission to commission the Monash Sustainable Development Institute to assess the impact and challenges of POD in decision making through the initiative titled “Bridging Public Opinion and Policy: A Mixed-Methods Analysis”. This practice review is one of the four key research activities of the initiative. It explores the practical applications of POD in policymaking during the COVID-19 pandemic, and in business-as-usual scenarios, by capturing high-level insights through semi-structured interviews with eight senior decision makers from different jurisdictions and various parts of government. It identifies three primary uses for POD in policymaking: To improve understanding of community beliefs and attitudes. To identify ways to influence behavioural changes. To test social license by assessing public’s acceptance of policies. In addition, this review compares the purpose of POD from the perspective of public servants and politicians. It also discusses the critical role and purpose of POD during the COVID-19 pandemic. The essential value of POD in understanding the experience of the public in an uncertain environment was highlighted by participants. POD also helped the government improve strategic communication throughout the pandemic. Finally, this practice review highlights the importance of ensuring a rigorous and collaborative approach in designing, collecting, translating, and disseminating POD. This includes upholding the credibility of data and soundness of the methodology. The risk of politicisation was identified to be a major challenge in the use of POD in policymaking. It potentially leads to tensions between political application of POD and the public sector’s political neutrality. This has led to underutilisation of POD and lack of transparency in the decision-making process. These findings emphasize the importance of further work to integrate POD into effective and ethical policymaking.