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    Developing Products with Place Name Protected by Bac Ninh Province's Intellectual Property Rights

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    The article analyzes the current status of product development bearing place names in Bac Ninh province, as well as factors influencing customers' choices about products bearing place names in Bac Ninh province. The research methods employed by this study were statistical methods combined with the interview method. When participating in worldwide economic integration, intellectual property rights protection is necessary trend for any country and locality; it fosters trade, investment, and creative activity. The findings also show that protected products play an important role in raising awareness among those who produce and sell products with geographical names (from 241 registered establishments granted copyright to 390 authorized establishments). Further, customers are interested in product traceability and product branding. Customers trust protected products while making purchasing decisions. This is a significant achievement for the province, which has recently focused on developing items with protected place names. From there, propose solutions for sustainable development of products named after places of Bac Ninh province in the futur

    Asian Echoes Volume One: Unveiling Higher Education in the Maldives, Indonesia, and Malaysia

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    Welcome to a heartfelt exploration of higher education in the enchanting landscapes of the Maldives, the vibrant tapestry of Indonesia, and the dynamic milieu of Malaysia. As you embark on this journey with us, we invite you to step into the corridors of academia and join us in unravelling the stories that shape the educational narratives of these three unique nations. Curiosity and Passion Ignite the Path This venture began as a personal odyssey fuelled by curiosity and passion. Having worn various hats in higher education - from eager student to dedicated lecturer and administrator - I found myself captivated by the intricate mechanisms that breathe life into academic institutions. This book is a testament to the profound impact that quality education and the global exchange of ideas can have on shaping the future. Local Realities, Global Perspectives, and the Art of Bridging In the tapestry of global education, it is essential not only to recognize the challenges and successes that define each country but also to celebrate the individuals navigating this terrain. Our authors, dedicated educators, bring you personal narratives infused with cultural richness, historical context, and the daily triumphs and tribulations that mold the educational landscape. Consider this book as more than a compilation of chapters; think of it as a bridge connecting different perspectives. It is a testament to the power of collaborative learning, an invitation to embrace the unique approaches to higher education, and a recognition of the universal challenges and aspirations that bind educators worldwide. Together, we aim to foster a global dialogue on the evolving nature of higher education. Embark on a Shared Learning Journey As you embark on this shared learning journey, we hope the narratives of educators navigating the complexities of higher education in these three countries will not only inform but also resonate with you. May this exploration ignite a curiosity that extends beyond these pages, prompting you to delve deeper into the transformative power of education in diverse cultural and institutional contexts. Gratitude to Our Authors: The Heartbeat of this Endeavor Lastly, a special note of gratitude extends to the authors whose dedication, expertise, and passion breathe life into these pages. Your insights into the higher education realms of the Maldives, Indonesia, and Malaysia have transformed this project into a rich and enriching experience. Thank you for joining us on this collaborative and personal exploration

    Analyzing Factors Influencing Inflation in Vietnam Using SVAR Model: A Case Study

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    Vietnam's economy has experienced complicated and unpredictable inflationary periods such as 1986. Therefore, the research to forecast inflation is significant in both macro and micro aspects. It not only contributes to improving the efficiency of policy administration, but it is also used towards the goal of macro stability, sustainability of economic growth, and improving the efficiency and competitiveness of enterprises and the economy. There are many quantitative studies on inflation forecasting in the world and Vietnam, notably using the SVAR multivariate models. This paper will use the SVAR model to analyze factors impacting inflation in Vietnam. Based on the data collected from 2016 to 2020, the results show that, in the short term, inflation is mainly affected by its fluctuations in the past, while the world oil price, exchange rate, and interest rate partly explain the volatility of inflation, but the contribution is tiny. On the other hand, in the long term, the influence of past inflation reduces over time, but it still explains the current fluctuation

    Social Media Website with Python using Django

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    It is a popular and powerful platform for users. Millions of people have their ideas and thoughts which they can share on several aspects of their daily lives. Social media can generate huge amounts of public responses in the form of likes, comments, replies, saved images, etc. We developed a web application with user interfaces using Python with Django framework which showcases the social trends. Django collects all the user data and stores it in Django administration. This research has proposed a platform where the user can share their images, videos, and thoughts. This is the platform where the user can follow other users whom they know and even they can view the other's creativity which they have posted on social media. Our model analyzes and stores real-time data. Social media websites have been implemented by several programming languages such as HTML, CSS, JavaScript, Python, and Django framework was used to design the web pages

    Authorized Redundant Check Support in a Hybrid Cloud Environment

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    A hybrid cloud is made up of public and private clouds connected by standardized or proprietary technologies to provide data and application mobility. The deduplication with uneven privileges issue in cloud computing is addressed efficiently. an architecture for a hybrid cloud that employs both public and private clouds, with the data owners only using the public cloud for storage and the private cloud for data administration. To make data management in cloud computing scalable, duplication has lately become a commonly employed method. Deduplication reduces the amount of bandwidth you need, speeds up data transfers, and keeps your need for cloud storage to a minimum. To enable authorized duplicate checks in hybrid cloud architecture, the proposed system comprises a variety of new deduplication structures. Data confidentiality was protected before outsourcing by employing the convergent encryption method. A system authorized to use deduplication supports differential authorization duplicate checks. In the authorized duplication check approach, testbed tests are carried out using a prototype as proof of concept

    Efficient Model for Waste Load and Route Optimization

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    Urbanization frequently gives rise to substantial environmental issues, namely in waste management and water quality maintenance. Gross Pollutant Traps (GPTs) are essential in urban stormwater management as they effectively capture substantial pollutants before they enterthe centralwater bodies. Nevertheless, the irregular buildup of trash caused by fluctuating rainfall intensity hinders the effective transfer of garbage from GPTs to their ultimate disposal locations. This research presents a holistic approach toenhancing the efficiency of waste transportation by improving route and load planning. The model utilizes machine learning techniques to forecast the quantity of waste collected by GPTs. We have created an optimization algorithm that usesthe forecast outcome from a prior research dataset. This algorithm is designed to efficiently plan the routes and loads for trucks responsible for transporting waste to its final disposal location. The optimization process consideredthe estimated amounts of garbage, the capacities of the vehicles, and the locations of the disposal sitesto reduce transportation expenses and save time. The system adaptively optimized routes using real-time data on the vehicle'sorigin and destination, ensuring effective allocation of resources and prompt garbage removal. Installingthis approach resulted in a substantial decrease in transportation expenses and enhanced compliance with waste pickup timetables. The integration of predictive modelingand route optimization is enhancing urban trash management. Accurate garbage quantity forecasts and optimized transportation logistics can enable municipalities to deploy resources more effectively, decrease operational costs, and improve environmental protection. We chose a subset of 7 days, equivalent to one week, from the projected dataset for our experiment.Subsequently, we conductednumerous trials involving various waste disposalfrequencies. The findings suggest that waste disposalevery four(4) days is the most advantageous approach. Still, itperforms similarlyto waste disposalevery three (3)days and has negligible environmental consequences. Hence, we select to execute the optimal solution for three(3) days, as it provides exceptional performancewhen consideringthe influence of natural pollutio

    Dual Access Control for Cloud Storage and Sharing

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    In the field of distributed computing, a significant innovation is now being developed. The process of storing information is extremely difficult for every single person on the planet. Data storage and retrieval can be accomplished in the most straightforward and expedient manner possible through the utilisation of distributed computing. When it comes to distributed computing, security is the most important consideration. An alternative approach to provide access control for distributed computing is what this research workintend to illustrate. Distributed computing can benefit from this design's protective admission control. Additionally, it makes use of a watch and a progressive design in order to facilitate access control, that is more exact. It is possible for us to send, download, and erase papers to and from the fog with ease usingthis method

    Q-switched Erbium-doped Fiber Laser Utilising a Saturable Absorber Based on Brass Nanoparticles

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    A passively Q-switched erbium-doped fiber laser was successfully demonstrated using brass nanoparticles embedded in Polyvinyl alcohol film as a saturable absorber. The brass nanoparticles were produced by ablating brass target in polyvinyl alcohol solution using Nd:YAG laser. The saturable absorberwas characterised in terms of its morphology, elemental contents and optical properties. It was incorporated into a ring cavity to function as a Q-switcher for generating pulses. As the pump power was varied from 21 mW to 67 mW, the repetition rate increased from 38.74 kHz to 73.75 kHz while the corresponding output pulse width and pulse energy varied from 5.11 μs to 2.473 μs and 69.6 nJ to 145.6 nJ respectively. The output power characterised bytheslope efficiency of 17.72 % and 10.74 mW of output power recorded at 67 mW pump power

    Leadership Style and Company Performance of China Service Industry

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    Chinese business and government officials increasingly recognize the need for a thorough grasp of company performance. Since the business world has undergone developments that make the prior examination of company performance more difficult, company performance has become a phenomenon of academic inquiry. This quantitative descriptive study investigates the role of leadership style and its relationship to China's service industry; services is the industry with the most significant growth relative to China's GDP in the previous 30 years. As a result, company performance is characterized as an independent variable. The numerous links between ethical, transformational, and transactional leadership are studied as independent variables utilizing relevant literature. In China's service business, essential variations and relationships are represented by an appropriate leadership style to increase company performance. This study employs quantitative analysis. It starts by discussing prior research and presenting the goals of the study, the research questions, and the research hypothesis. Examining past relevant material is used to build the conceptual framework for the research. The technique employed in this investigation will be described. Finally, the research objectives and hypotheses are met using a survey and statistical and descriptive methodologies. The link between company performance and leadership has been established

    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology

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    As new directions of development, Industry 5.0 and Education 5.0 emphasize human-machine collaboration, personalized services, and the application of intelligent technologies. This paper aims to explore how intelligent technology can transform vocational education to enhance the effectiveness of vocational training and meet the demands of the modern economy. By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. The research demonstrates that these innovative approaches effectively address the limitations of current personalized learning systems, providing theoretical and practical support for the intelligent transformation of vocational education

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