bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Brand Management of Fashion Brands
Authors: Lin Jin
Published: November 2023

Amidst the backdrop of swift economic progression and surging consumption rates, the global goods market is witnessing heightened brand competition. This evolving scenario has rendered domestic fashion brands particularly susceptible to various external adversities. Prominent among these challenges are misconceptions in brand management characterized by inadequate market positioning, diminished market share, nascent brand imagery, evolving marketing channels, and stagnation in social marketing innovation. To traverse this intricate environment, businesses must champion a forward-leaning stance, assimilate insights from seasoned brand management practices, and perpetually refine their branding techniques. This deliberate nurturing aims to bolster and expand their brand equity. In light of these observations, this paper articulates multiple strategies to amplify brand management, encompassing the amplification of consumer desires, recalibration of fashion marketing paradigms, in-depth consumer behavior insights, nuanced focus on marketing touchpoints, adoption of holistic multimedia marketing avenues, and harnessing the potential of fashion communication ecosystems. This synthesis is envisioned to serve as a compass for marketing aficionados, equipping enterprises to carve a distinctive niche in a saturated market, thereby charting a trajectory for resilient growth.
The Impact of COVID-19 on Firms Financial Distress: Evidence from China
Authors: Song Peizhe
Published: November 2023

COVID-19 has a significant influence on firms financial distress. How does COVID-19 influence firms short-term financial conditions and long-term development in China, and whether and to what extent will their financial leverage deviate from the original path? Can financing support from government as a bailout policy alleviate the financial distress caused by the epidemic? In order to exam my hypotheses, I did a series of exams. The sample includes all publicly listed Chinese firms from 2017 to 2022. Results show that the outbreak of Covid-19 makes firms more difficult to borrow money. H1 is supported. However, the interaction item has no corresponding data observation value. It is predicted to be positive, which means the politically connected firms are more likely to offset the bad influence of the external environment because they can access valuable financial resource easily than firms without political connections. It is not consistent with H2. The study not only extends the growing literature exploring the deep influence of the Covid-19 pandemic on business, but also has implications for policymakers.
Challenges and Countermeasures for the Protection of Online Consumer Rights in the Digital Economy
Authors: Wang Rongtai
Published: November 2023

Accompanied by the booming development of new technologies such as the Internet, artificial intelligence and cloud computing, the digital economy has burst into a powerful vitality and become an important feature of the new era. However, due to the virtual nature, complexity, and monopoly characteristics of the digital economy, the damage caused to consumers. Such as the digital economy in the context of the prevalence of big data to kill familiarization and other acts of infringement of consumers personal information, the right to free choice, the right to fair trade and other rights and interests, and consumer rights to defend the difficulty of proof of rights to defend the cost is too high. This paper analyses in depth the current situation of consumer rights and interests protection of the digital economy, reveals the problems and challenges brought by the digital economy to the protection of consumer rights and interests and puts forward corresponding countermeasures and recommendations in a targeted manner, with a view to promoting the high-quality development of the digital economy.
The Analysis of Sustainable Business Model in Traditional Chinese Tea Industry
Authors: Zheng Huilin
Published: November 2023

Since ancient times, China has been a great tea country, the worlds largest tea planting area, and the worlds top tea production. Over the entire Chinese tea industry, there are countless large and small tea factories but few famous tea brands, seriously affecting the industrys sustainable development. Thus, creating a famous tea brand is a huge challenge for Chinese tea. In addition, the world currently cultivates tea in many countries, such as Sri Lanka, India, Turkey, Kenya, etc. China is a large tea producer and is always an important economic crop. With the modern, fast-paced urban life, the new tea consumption style is more suitable for the domestic and international consumer market and meets the needs of the public. This paper explores to convert and upgrade the traditional Chinese tea industrys business model by recognizing and analyzing the globally well-known brand Lipton Tea. Firstly, it is no longer limited to the traditional tea culture, and combining the tea culture with commercial activities to create a fashionable tea culture; secondly, to apply the tea to a wider range of consumer markets rather than limiting it to the tea-drinking market only; and then through the assistance of new media such as e-commerce and We media to promote the product, this series of upgrading from the internal to the external business model can improve the popularity of Chinese tea brands, the rapid development of the tea industry will also give Chinas economic market to bring sustainable development of the new power.
The Research of Financial Fraud and Regulatory Countermeasures to the Listed Companies Based on Game Theory
Authors: Wang Bo , Lin Junhao
Published: November 2023

Accounting Fraud, as immoral behavior which violates the law, may cause severe damage to economic and market trust. The listed companies may acquire short term benefits through accounting fraud; therefore, the government regulatory authority should set up severer policy to prevent and avoid this behavior from happening. This review article aims to analyze the existing problem of accounting fraud, games between listed companies and regulatory authorities based on game theory, and the mechanism that caused accounting fraud to happen. The articles have found that the behavior of accounting fraud may confuse the investors by its invalid financial report, which often results in wrong investment decisions. If the accounting fraud has been revealed and known by the public, the listed companys share price will plummet, overall market confidence will suffer, and the entire economic system and financial stability will also be affected. By damaging the financial stability and decreasing the overall investments, accounting fraud handicaps economic growth by its possible consequence of decreasing the economic activity, capital expenditures, and the employment opportunities. However, the game theory research on the games between listed companies and regulatory authorities may offer supervisory measures to reduce and prevent the occurrence of financial fraud.
The Research on Marketing Strategies for Master Kongs New Products
Authors: Lu Keya
Published: November 2023

Master Kong, which is the leading enterprise of instant food industries in China now is suffering from the loss of its potential profit. What caused these phenomena is the fierce competitions between the old and new brands in instant food industries. Although Master Kong can still dominate the main instant food market in China, it still needs to breakthrough its own bottleneck. In this research, new products are proposed which can also provide totally new ideas for the generation of instant food products. The online open questionnaire and in-depth research interview provide the information about the things need to be improved and the new consumer groups. The generation Z and new town youth purchasing characteristics are useful for many brands. In order to reach the generation Z and new town youth in China, specific marketing strategies are presented in this research after analyzing the real market. This research mainly dedicated into how to maintain Master Kongs leading position and lay the foundation for its future transformation.
The Social Factors of the Income Gap of Digital Labour under the Transformation of Platform Capitalism
Authors: Liu Kexin
Published: November 2023

With the rapid development of digital technology, people are creating digital products, which has led to a digital transformation of the form of labor. The resulting platform capitalism is an economic form that will dominate society in the future, and the amount of digital labor it involves is only increasing. Based on existing literature and data, this paper discusses three separate issues affecting the income gap of digital labor by targeting audiences, social media, and advertisers. It is found that the pay of the audience as digital labor is limited by the degree of exploitation by advertisers and the extent of their use of social media. First, platform capitalism sustains the commodification of user behavior, resulting in a cashable act of digital labor. Second, big data exposes audiences to dilemmas of justice, and the exploitation of platform capitalism impacts the fairness of digital labor. Third, mediatization also impacts the income gap in digital labor, with less visible mediums earning less than more visible ones
Analysis of Stock Value in the Science and Technology Innovation Board Market: A Principal Component Analysis Approach
Authors: Luo Jing
Published: November 2023

The factors influencing stock returns have been extensively studied in the current academic sphere. In this study, the factor analysis method is employed to assess the investment value of stocks in the Science and Technology Innovation Board market (STAR Market) using indicators such as asset-liability ratio, current ratio, quick ratio, gross profit amount, YoY growth rate of net assets, asset return rate A, return on equity ratio ROEA, operating net profit margin, earnings per share of net assets, sales operating profit margin, and YoY growth rate of total assets. Factor scores are derived using principal component analysis. The obtained factor scores are ranked in descending order, revealing that Juchen Corporation holds a factor score of 1.11, ranking first among all companies and demonstrating the highest investment value. Following closely are EastMicro Semiconductor and Baochu Electronics. Additionally, this paper summarizes the stock performance of 20 other companies, offering investors a reference for value-based investment decisions. The quantitative findings of this study facilitate informed decision-making for investors, serving as a valuable reference for their investment strategies.
A Comparative Examination of Stock Market Prediction: Evaluating Traditional Time Series Analysis Against Deep Learning Approaches
Authors: Liu Liujun
Published: November 2023

The contemporary financial landscape is characterized by dynamic market behavior. Accurate predictions of stock price movements are not only of paramount importance for financial decision-makers but also pose a significant challenge due to the inherent complexities of financial markets. This research study delves into the realm of stock market prediction by employing a comprehensive approach that combines time series analysis and machine learning techniques. The main goal is to assess different models in predicting price trends, potentially reshaping stock market forecasts and emphasizing the need for tailored predictive approaches for individual stocks. The study focuses on the example of Apple Inc. (AAPL) stock data and aims to uncover the effectiveness of various models in forecasting its price trends. Our results emphasize that the LSTM model surpasses the conventional ARIMA model in terms of forecasting accuracy, suggesting a promising path for improving stock market predictions. This comparative exploration provides insights into the potential of machine learning models in refining stock market predictions and highlights the importance of tailoring predictive methodologies to individual stock behaviors.
Unraveling the Relationship Between GDP and Unemployment in China with Okuns Law
Authors: Li Yaxin
Published: November 2023

As the worlds second-largest economic powerhouse, China stands at the nexus of global trade, investment, and economic policies. Yet, despite its meteoric rise and the subsequent spotlight on its financial milestones, the correlation between its GDP growth and the unemployment rate remains a fertile ground for exploration. Using time-series data as the backbone of this paper, the Granger Causality Test and Vector Autoregression (VAR) methodologies are employed during the research process. These sophisticated approaches are capable of ascertaining the linear interdependencies between these variables, providing a dynamic perspective that goes beyond traditional static analyses. This research aims to answer key questions: Can the historical fluctuations in GDP serve as a reliable predictor for future unemployment trajectories, and if so, to what extent does Okuns Law hold true? Conversely, does a shift in unemployment rates offer insights into potential GDP movements? The conclusions drawn from this comprehensive analysis aim to uncover the relationship between GDP and unemployment and provide possible explanations by integrating the notion of Okuns law.
Social Networks and the Bank Run of Silicon Valley Bank
Authors: Zhou Yucheng
Published: November 2023

On March 10, 2023, Silicon Valley Bank was closed after a 40 billion dollar deposit outflow and a predicted 100 billion dollar deposit outflow. This paper first describes the causes of this incidence chronologically from the aspects of Macroeconomics policies, flaws in portfolios, and a large proportion of uninsured depositors based on a Fed report. Next, based on previous literature and speeches about bank runs in the United States history, the 2008 crisis in particular, this paper connects the panic in social networks to bank runs. Then, based on past experiments, this paper sets up a model to illustrate how social networks influence depositors decisions. Following this model, this paper subsequently presents a recurred model based on the Diamond-Dybvig model. With the finding in the first two models, the paper shows how herd behavior could lead to bank runs through two models. Last, this paper connects the findings in four models back to the case of the bank run of Silicon Valley Bank.
A Case Study of Bright Dairys Acquisition of Israels Tnuva Foods
Authors: Zhong Rui
Published: November 2023

In recent years, with the development of Chinas economy and the policy encouragement of the Chinese government, more and more Chinese enterprises have participated in cross-border acquisitions and mergers and acquisitions. Studying the cases of cross-border mergers and acquisitions of large Chinese enterprises can help reveal the impact of similar mergers and acquisitions on the short-term stock price trend of enterprises and their financial indicators. This paper chooses Bright Dairy Foods acquisition of Tnuva as the main body of the case study. By constructing the FAMA-French Three-Factor Model, this paper studies the short-term effect the acquisition activity exerted on the stock price of Bright Diary Food. By studying the financial indicators, this paper studies the influence of M&A activities on the profitability and debt-paying ability of Bright Dairy Food. The research shows that Bright Dairys decision to acquire Tnuva aroused widespread concern from shareholders, and shareholders were optimistic about this decision, so the abnormal return of Bright Dairys stock has increased in the short term. In addition, the acquisition of Tnuva has improved the profitability of Bright Dairy but reduced its debt-paying ability.
The Key Functions of Relevance and Relationship Effect in Marketing: Based on the Analysis before and after Restructuring of Huiyuan Group
Authors: Li Zongyi
Published: November 2023

As the economy and society develop continuously, the speed of commodity renewal is accelerated, and the competition between brands is becoming more and fiercer. Fruit juice, as one of the most popular commodities, is deeply loved by all kinds of people and meanwhile, it is also a traditional and dynamic industry. Recently, Huiyuan Group, a celebrated Chinese fruit juice company, has adopted various measures to cope with the fierce competition effectively in the commodity market, such as broadening marketing channels, strengthening market research combined with promoting product innovation, and enhancing the platform interaction in order to maintain customer relations. This paper analyzes the problems existing before the marketing bankruptcy of Huiyuan Group, and the changes made after the reorganization, based on the key function theory of relevance and relationship effect in 4 Rs. The analyzing results find that Huiyuan Group focuses on the relevance and relationship effect in the marketing process, broadens the marketing channels such as TikTok, Xiaohongshu and Weibo, and pays attention to the user platform interaction and product innovation, all of which bring considerable benefits to the enterprise marketing, and are conducive to the marketing and maintenance of the enterprise brand.
Keep that wheel a-turning: why and how the hybrid of steam pumping engine and water wheel combinations was appropriate technology in changing times
Authors: Kanefsky John , Townley John
Published: November 2023

This paper outlines the history of, rationale for, and continued use of beam engines and Savory pumps for raising water to recirculate over water wheels in the eighteenth century and beyond. It concludes that combining steam engines and water wheels was for many locations and industries a logical technology and best business practice, not a weakness; those who stuck with hybrid technology were generally rational, not backward.
Preserving Crofton's future
Authors: Willis Jon
Published: November 2023

Crofton pumping station houses two of the oldest working beam engines in the world; the 1812 Boulton and Watt and the 1846 Harvey. While the engines have been well looked after by Crofton’s volunteers for more than 50 years, insufficient attention may have been paid to the buildings. This paper describes the wide range of building work on site and the improved facilities which have been supported by a Heritage Lottery Grant. It details the costly work to maintain a Lancashire boiler, and the significant issues facing Crofton and similar heritage steam attractions with the future supply of coal. It also describes the innovative Mechatronics programme to understand more about the potential damage to historic engines by continuing to operate them at full load.
PHÁT TRIỂN GIẢI PHÁP ỨNG DỤNG CÔNG NGHỆ PHẦn MỀM TRONG DẠY HỌC MÔN PHÁT TRIỂN ỨNG DỤNG WEB ĐỂ NÂNG CAO HỨNG THÚ HỌC TẬP CỦA SINH VIÊN
Authors: Triết Lê Minh , Hiến Lương Trần Hy
Published: November 2023

Học tập theo tín chỉ hiện nay, sinh viên hay người học cần chủ động trong quá trình học tập của bản thân và có vai trò ngày càng quan trọng trong hoạt động dạy và học. Công nghệ phần mềm là một công cụ hữu ích giúp tăng húng thú và ý thức tự học của sinh viên, củng cố kỹ năng thực hành trong các tình huống thực tế. Trong phạm vi giới hạn của nghiên cứu này, nhóm tác giả đã tìm hiểu lý thuyết và khảo sát thực tế về thực trạng học tập môn phát triển ứng dụng web của sinh viên khoa Công nghệ thông tin, trường Đại học Sư phạm thành phố Hồ Chí Minh, trên cơ sở đó đề xuất giải pháp ứng dụng Công nghệ phần mềm trong dạy học nhằm tạo hứng thú cho sinh viên học tập môn Phát triển ứng dụng web.Keywords: ứng dụng công nghệ phần mềm trong giáo dục, hứng thú học tập, người học
"Ngồi tù Khám Lớn" của Phan Văn Hùm: thêm một số nhìn nhận về giá trị tác phẩm
Authors: Hiền Trần Thị Mỹ
Published: November 2023

Phan Văn Hùm là một trong những tên tuổi nổi bật của văn học Nam Bộ nửa đầu thế kỷ XX. Với tác phẩm Ngồi tù Khám Lớn, ông đã tạo được tiếng vang lớn trên văn đàn nói riêng và trong đời sống chính trị - xã hội đương thời nói chung. Trên bề mặt, Ngồi tù Khám Lớn trực tiếp phô bày sự khắc nghiệt, bất công trong chế độ lao tù của thực dân Pháp tại Việt Nam. Nhưng khi nhìn sâu vào bên trong, chúng ta còn nhận diện được thêm nhiều giá trị mà tác phẩm mang lại. Rõ ràng nhất chính là tác phẩm đã nêu lên sự khủng hoảng trong đời sống của người dân Việt Nam nửa đầu thế kỷ XX qua nhiều phương diện từ kinh tế, xã hội, luân lý, đạo đức. Bên cạnh đó, tác phẩm còn cho chúng ta thấy được kỳ vọng của Phan Văn Hùm về một xã hội tốt đẹp dựa trên quan niệm về triết lý nhân sinh. Bằng phương thức tiếp cận văn hóa – lịch sử, phương thức tiếp cận liên ngành cùng các phương pháp như phân tích, so sánh, hệ thống, bài viết của chúng tôi sẽ làm rõ thêm một số giá trị mà tác phẩm Ngồi tù Khám Lớn mang lại.
CHIẾN LƯỢC DẠY HỌC TRỰC TUYẾN DỰA TRÊN ĐÁNH GIÁ VÌ HỌC TẬP: NGHIÊN CỨU TRƯỜNG HỢP TỈ SỐ VÀ TỈ SỐ PHẦN TRĂM Ở LỚP SÁU
Authors: Trung Lê Thái Bảo Thiên
Published: November 2023

Trong nghiên cứu này, chúng tôi đánh giá hiệu quả của một chiến lược dạy học trực tuyến với các nền tảng miễn phí của Google và thử vận dụng trong dạy học tỉ số và tỉ số phần trăm ở lớp 6 theo Chương trình Giáo dục Phổ thông môn Toán, ban hành năm 2018 (CTGDPT môn Toán 2018). Nghiên cứu của chúng tôi  tiến hành trên một mẫu gồm 67 học sinh (trong hai lớp 6) với 2 tiết dạy trực tuyến (mỗi tiết 45 phút). Sử dụng kiểm định T cho mẫu phối hợp từng cặp trên kết quả điều tra bằng điểm số đầu vào và đầu ra cho thấy sự tiến bộ của học sinh nhờ chiến lược dạy học là có ý nghĩa thống kê. Sự tiến bộ của học sinh bước đầu cho thấy hiệu quả của chiến lược dạy học của chúng tôi và phù hợp với các quan điểm “đánh giá vì học tập” (Assessment Reform Group 2002, Eleanore Hargreaves 2005, Bộ Giáo dục và Đào tạo 2020b) và “sai lầm là kiến thức” (Brousseau 2002).
TỐC ĐỘ PHẢN ỨNG 12C(p, γ)13N VÀ 16O(p, γ)17F TẠI NĂNG LƯỢNG THIÊN VĂN HẠT NHÂN
Authors: Huy Mai Đoàn Quang , Đức Nguyễn Kiều Việt , Long Nguyễn Đình Quốc
Published: November 2023

Phản ứng bắt hạt phát bức xạ điện từ là một phản ứng quan trọng trong việc tạo ra năng lượng duy trì sự sống của các ngôi sao trong vũ trụ, là một trong những đối tượng được quan tâm trong lĩnh vực vật lý thiên văn hạt nhân. Các tính toán lý thuyết trong vật lý hạt nhân đóng góp các số liệu đầu vào tương đối cho vật lý thiên văn để mô phỏng các quá trình thiên văn tại vùng năng lượng thấp nơi mà thực nghiệm chưa thể tiếp cận. Hai phản ứng 12C(p, γ)13N và 16O(p, γ)17F được nghiên cứu trong khuôn khổ mô hình thế năng. Chúng tôi chỉ ra rằng vai trò của cộng hưởng đơn hạt và khoảng cách diễn ra quá trình bắt ảnh hưởng lên tốc độ của hai phản ứng này.
Remote Hands-on Experience for Students in Undergraduate Computer and Electrical Engineering
Authors: Hall Janne , Tanner April , Eldek Abdelnasser
Published: November 2023

The focus of this research was to analyze current methods for online education for electrical and computer engineering undergraduate programs. From this research, an online model for virtual labs in undergraduate engineering is introduced. Experiential learning was exhibited by students through the hands-on experience with lab equipment combined with user feedback. Software used in this research to simulate traditional lab equipment affords institutions the opportunity to provide instructive methods to remote students who are unable to complete on-campus curricula. The devices used to remotely complete the virtual labs facilitated high-value lab practices and skills comparable to those presented in an on-campus lab. As examined during this research, the opportunity to operate virtual devices with the simulation software delivered an extensive laboratory experience with the capability to create a teaching method for engineering concepts. Data from the students' feedback on the simulated, interactive learning is presented in this paper.
A Sign Language Learning Application for Children with Hearing Difficulties
Authors: Shibata Kuniomi , Hattori Akira , Matsumoto Sayaka
Published: November 2023

The purpose of this paper is to develop a mobile application to support both sign language and literacy skills among children with hearing difficulties as part of rehabilitation engineering and to implement its basic functionality. This study will make it possible to support children with hearing difficulties in learning written language in combination with sign language, thereby emphasizing the importance of the latter, and in learning and communicating with their parents who use spoken language. This application has the following functions: (1) to register sign language clips acquired from a mobile device's camera by attaching tags to them, (2) to save multiple sign language clips using sets and tags, and (3) to reproduce and play back sequences of the saved sign language clips. Because of a preliminary evaluation experiment, the application was highly evaluated by the collaborators, and most of the negative comments were attributed to the small amount of registered data and its inability to support use in complex situations. Based on this, we consider that the basic concept of this application has been successfully realized.
Using Federated Learning for Collaborative Intrusion Detection Systems
Authors: Rizzato Matteo , Laarouchi Youssef , Geissler Christophe
Published: November 2023

Neural networks have become cutting edge machine learning models for detecting network attacks. Traditional implementations provide fast and accurate predictions, but require centralised storage of labelled historical data for training. This solution is not always suitable for real-world applications, where regulatory constraints and privacy concerns hamper the collection of sensitive data into a single server. Federated Learning has recently been proposed as a framework for training a centralised model without the need to share data between different providers. We use the CICIDS2017 dataset provided by the Canadian Institute of Cybersecurity to demonstrate the benefits of Neural Networks-based Federated Learning for the detection of the most relevant types of network attacks. We conclude that a federated-trained neural network outperforms locally-trained models (at isoarchitecture) in terms of F1-score and False Negative detection ratio. Further, such model has a minor loss of performance and convergence rapidity compared to a model trained over a hypothetical centralised dataset.
Higher Education students' perceptions towards Information Literacy
Authors: Sanches Tatiana , Chan Emily
Published: November 2023

Integrating information literacy into learning improves student performance and, for that reason, academic librarians can play a significant role by collaborating in the design and training programs in these areas. In Macao, there is no known study on the information literacy performance of higher education students, so we seek to diagnose this area. For that purpose, a survey was applied to higher education students to assess students' perception of information literacy and their self-characterization regarding the use of resources and the type of skills needed for academic work. A semi-structured interview was also carried out with teachers about the same reality. Students perceive themselves to have a low level of confidence in the performance of their academic tasks, which affects their fulfilment. Faculty are aligned with this diagnosis, revealing the students’ weaknesses in the information search and presentation. Overall, information needs are evident among students as also is the use of preferred information resources in pursuit of their studies. The training aimed at students in search, retrieval, analysis, and use of information seems to be essential, which is why the construction of a tailormade training program in Information Literacy is anticipated.
Relationship between Land Use Rights and Unjust Enrichment: Supreme Court Decision of Aug. 25, 2022(2017 DA 257067) in a Perspective of the En Banc Judgement of the Supreme Court Decision of Nov. 28, 2019(2017 DA 294608)
Authors:   Korean Association of Aggregate Building Law, Mo Seungkyu , Kim Jewan
Published: November 2023

According to the Supreme Court's unanimous decision on August 25, 2022(2017 DA 257067), the general legal principles regarding shared property in civil law cannot be directly applied to the “shared relationship” of collective building land. Therefore, co-owners of divided land, who hold a reasonable share corresponding to the ratio of exclusive parts in the collective building, have a legal authority to use and profit from the entire land according to its intended purpose. As a result, a land co-owner who is not a divided land owner cannot claim unjust enrichment against a divided land owner with a reasonable share based on the land co-owner's share rights. The conclusion of this unanimous decision by the Supreme Court emphasizes the obligation of unjust enrichment for divided landowners based on two factors: (1) the emphasis on the substantive use relationship of land use rights and (2) the economic viability of this conclusion. This perspective appears reasonable.
The Supreme Court’s viewpoint, as presented in the unanimous decision, assumes the “shared relationship,” which is the typical ownership structure of land use rights in collective buildings. However, it is necessary to examine whether there is a change in legal relationships in cases where non-co-owners divide and separately (or jointly) own rights such as ownership of part of the land, apart from the shared relationship.
The focus of this paper, the Supreme Court’s decision on November 28, 2019(2017 DA 294608), addresses issues related to unjust enrichment concerning land use rights when a single collective building is situated on multiple separate lots. While acknowledging the legal and economic validity of the unanimous decision, this paper critically analyzes the decision on the obligation of unjust enrichment. It suggests the need for legislative measures to clarify and advance future judgements or legal relationships regarding unjust enrichment in land-use relationships.
NOVEL STUDY ON NATURAL LANGUAGE PROCESSING
Authors:   SCSVMV Deemed to be University, India, Geetha Dr. V , Gomathy Dr C K ,   SCSVMV Deemed to be University, India, Ram Mr.P.V. Sri ,   SCSVMV Deemed to be University, India, L N Surya Prakash ,   SCSVMV Deemed to be University, India
Published: November 2023

Natural Language Processing (NLP) is the tech wiz working tirelessly to break down language barriers between us and our devices. It's the reason our smart phone, tablet or laptop understands our voice commands and translates our languages in a second. NLP is like giving machines the ability to comprehend and respond to language nuances, turning our interactions into seamless conversations. Think of it as the digital polyglot that not only reads but truly understands the messages we convey, from the simplest text to the most intricate emotions. From predictive text to chatbots, NLP is the digital linguist enhancing the way we communicate with our devices, making technology feel more like a conversation with a helpful virtual friend. Keywords: seamless conversations, digital polyglot, predictive text, chatbots, digital linguist, technology communication, virtual friend.
Nitya- A Community Development Centre for Trichy Weavers, Tiruchirappalli, Tamil Nadu
Authors:   BMS School of Architecture, Bengaluru, M Sanjana , M Y Supritha ,   BMS School of Architecture, Bengaluru
Published: November 2023

Handloom is a long-standing tradition in India with exquisite and incomparable craftsmanship. The growth in power looms and increased influence of westernization has led to the destruction of the handloom industry and weavers lost markets for their authentic goods. Most of the weaver communities are homeless because of natural disasters, while some of the third-category weavers are unemployed and because they cannot afford yarns, dyes, and handlooms of their own and rely on cooperative societies and master weavers. The project's major objective is to give vulnerable families a chance to benefit from their strength and individuality. Proposing a community development center for the weaver community not only provides temporary shelter but also encourages them to develop their skills and helps them generate their own revenue. The program emphasizes on empowering the weaving community while also showcasing Indian traditional handlooms globally by giving viewers a live walkthrough and experience. The younger generation must be encouraged to learn the skill of weaving and promoting swadeshi textiles. The community development center aims to house weaver families and trainees and provide them with all necessary amenities. It also encourages them to establish their own identities in the market by giving them places to sell their own goods and giving trainees the opportunity to learn new skills and work towards it in the future. Key Words: traditional handloom, westernization, weaver community decline, community development centre, live walkthrough
Meal Map Pro
Authors: Journal IJSREM
Published: November 2023

In this paper, we describe the recipe recommendation system in the culinary domain. Due to the widespread use of the internet, the whole world is connected, and different users from different countries share millions of recipes online, all over the world. As a result, users are unaware of all the recipes available on the internet. A recipe contains heterogeneous information’s such as ingredients, cooking process, categories, etc. Therefore, we believe that a recipe is an aggregation of these heterogeneous features. The majority of the recipe recommendation systems are based on content or collaborate filtering to predict the new recipe that a user is interested in. Combining with both content and collaborative filtering, we propose an effective and elegant framework for combining recipe recommendation systems. Most recipe recommendation systems use content information for ingredients or cooking process of recipes. To reduce RMSE, we proposed a hybrid approach combining conventional techniques with content and collaborative filtering. This approach adds more heterogeneous information such as cuisine, preparation directions, dietary, etc. Keywords: Recommendation system, collaborative filtering, hybrid approaches, recipes, content information.
Effects of forest structure on woody plant diversity in an evergreen broadleaved forest in Cao Bang province
Authors: Dung Quoc Minh , Ly Nguyen Thi Huong , Thanh Le Anh , Hop Nguyen Van , Quy Nguyen Van
Published: November 2023

The present study was conducted in Phia Oac-Phia Den National Park in Cao Bang province to evaluate the interplay between forest structure and the diversity of woody plant species in an evergreen broadleaved forest. In six 1-ha permanent plots, all trees with a diameter at breast height (DBH) greater than 6 cm were identified, and their DBH, crown diameter, total tree height, and spatial coordinates were recorded. Spatial structure indices, non-spatial structure indices, and species diversity indices were utilized to construct a structural equation model (SEM). The results showed that the SEM model developed exhibited a good fit with CFI=0.98 and SRMR=0.02, signifying its accurate data modelling capabilities. The results emphasized the significant influence of both spatial and non-spatial structure on various woody plant diversity indices, including species richness, Shannon-Weiner diversity, Simpson diversity, and Pielou evenness. Notably, the horizontal spatial structure exerted a more pronounced effect on species diversity than the vertical structure. Furthermore, this study indicated a positive relationship between forest structure and diversity indices, highlighting their benefits. Conversely, interspecies competition negatively affected plant species diversity within the forest stands. This study provides a robust scientific foundation that supports effective strategies for the conservation and sustainable development of forest resources in the study area. It offers valuable insights for forest managers aiming to implement conservation and sustainability initiatives in the tropical evergreen broadleaved forest region.
Math Anxiety, Achievement and Perceptions of Same-Ethnic Peers in Math Class
Authors: Harris Piper J. , Graham Sandra
Published: November 2023

Using multiple linear regression analysis, this research explores racially and ethnically diverse students’ feelings of math anxiety, how these beliefs shape their achievement in the subject, and whether students’ math anxiety and performance in mathematics vary based on students’ gender, race/ethnicity, and math level. Moreover, this study investigated the potential protective functions of perceiving a high proportion of same-ethnic peers in math class for buffering against the detrimental effects of high math anxiety on achievement. Results showed that when African American students reported a high level of math anxiety, their math grades were lower when they also perceived there to be a high proportion of same-ethnic peers in their math course compared to White students with similar levels of math anxiety and perceptions of same-ethnic peers. These results suggest that the effects of classroom same-ethnic representation for students’ academic outcomes are more nuanced than labeling it as a “protective” factor. Other contextual factors may influence the relationship between math anxiety, perceived same-ethnic representation in math class, and achievement and should be explored in future research.
Public services at the service of citizens – Case-study: cleaning services
Authors: Cliza Marta Claudia
Published: November 2023

Public services are unquestionably a pillar of society. The society develops and blooms on their importance, on the way they are organized, on their efficiency. This is why we could devote a case study to each public service that a nation, through its government representatives, organizes and operates, in order to analyze its efficiency and impact on the quality of life of its citizens. However, this article is focused on public cleaning service, as currently regulated in the legislation. The importance of public cleaning service cannot be denied, by being a comfort factor and the criterion indicating the level of civilization.
Hubungan Faktor Risiko Tuli Kongenital Pada Anak Dengan Hasil Pemeriksaan Fungsi Pendengaran di RSUDZA
Authors: Haroen Elvia , Alia Dina , Osman Gilbran Ayyubi , Khalilullah Khalilullah
Published: November 2023

Berdasarkan data Riset Kesehatan Dasar (Riskesdas) 2018, prevalensi penyakit jantung koroner sebagai etiologi utama sindrom koroner akut (SKA) di Indonesia sebesar 1,5%. Sekitar 5,4% pasien dengan penyakit arteri koroner (PAD) dan 0,9% pasien dengan SKA didiagnosis dengan trombositopenia. Menurut American Heart Association (AHA)/American College of Cardiology Foundation (ACCF) dan European Society of Cardiology (ESC), pemberian dual antiplatelet therapy (DAPT) yang terdiri dari aspirin dan antagonis reseptor P2Y12 adalah komponen mendasar dari manajemen SKA. Selain itu, terapi definitif berupa intervensi koroner perkutan (IKP), harus disertai dengan kombinasi obat antiplatelet dan antikoagulan untuk mencegah pembentukan trombus di lokasi intervensi koroner. Studi melaporkan bahwa trombositopenia yang diinduksi agen antiplatelet berkorelasi dengan mortalitas dan komorbiditas jangka pendek dan jangka panjang yang lebih tinggi pada pasien dengan SKA. Pada pasien dengan SKA dan trombositopenia, manajemen terapi pemberian antiplatelet masih sulit untuk dipertimbangkan dan saat ini tidak ada pedoman rekomendasi atau laporan konsensus untuk memandu dokter tentang manajemen pada kelompok ini. Oleh karena itu, kami berusaha untuk menjelaskan dari berbagai macam studi literatur tentang penggunaan DAPT pada pasien SKA dengan trombositopenia.
Barriers to Accessing Vocational Training for Rural Youth in Phu Giao District, Binh Duong Province, Vietnam
Authors:   Master’s student, Vietnam National Academy of Public Administration, Minh Hang Nguyen Thi
Published: November 2023

This article explores the multifaceted barriers that hinder rural youth in Phu Giao District, Binh Duong Province, Vietnam, from accessing vocational training opportunities. Vocational training plays a pivotal role in equipping young individuals with the necessary skills and knowledge to secure employment, contribute to economic development, and improve their quality of life. However, in rural areas like Phu Giao District, several challenges impede the effective access to and utilization of vocational training programs. Understanding these barriers is crucial for policymakers, educators, and stakeholders in the vocational training sector to develop targeted interventions and strategies that can address the unique challenges faced by rural youth.
Instructional Coaching Through Technology Integration: Accompanying Teacher Services in the Digital Era of Education 5.0
Authors:   Faculty of Management and Economics Sultan Idris Education University 35900 Tanjong Malim, Perak, Malaysia, Saman Anita Md , Musa Khalip ,   Faculty of Management and Economics Sultan Idris Education University 35900 Tanjong Malim, Perak, Malaysia
Published: November 2023

In the era of Society 5.0, skills in the field of digitalization must be mastered by educators. This is because teaching and learning (TnL) in schools is no longer limited to pedagogy but also heutagogy, peeragogy, and cybergogy. In this regard, as an instructional coach, SISC+ not only emphasizes guiding teachers in their professional development (PD) in lecture rooms but also instills changes in pedagogical skills for better TnL. As an instructional coach, SISC+ must emphasize the practice of guidance based on digital technology in accordance with today’s education following the landscape of the Society 5.0 education era. This review study was performed by searching articles on “instructional coaching” and “digital technology” from databases such as ERIC, ProQuest, Emerald, and Google Scholar. The analysis conducted has identified four instructional coaching models used in the freelance studies: a) Instructional Coaching Cycle Model, b) Models of Literacy Coaching, c) Technology Integration PD Coaching Models, and d) Instructional Coaching Model based on digital education. The findings lead investigators to further analyze the four models to increase the effectiveness of instructional coaching in integrating digital technology in TnL.
PEMANFAATAN DAUN PINUS SEBAGAI BAHAN PEMBUATAN PULP MENGGUAKAN NATRIUM HIDROKSIDA
Authors: Hendratama Handik , Lintang Alivia Anggerta  , Aulia Firda Alfiana
Published: November 2023

Kebutuhan akan kertas meningkat dari tahun ke tahun dengan nilai kebutuhan 13,4 juta ton pada tahun 2014. Berdasarkan hal tersebut penelitian bahan baku pembuatan pulp yang murah terus dikembangkan. Penelitian ini menganalisa potensi daun pinus sebagai bahan pembuatan pulp melalui 3 tahapan proses yaitu, tahap  persiapan bahan, proses pulping dan dilanjutkan dengan tahapan analisa kadar selulosa. Penelitian ini menghasilkan rendemen pulp tertinggi sebesar 57,14 % dengan kandungan selulosa dalam pulp sebesar 59,14 %. Hasil ini menunjukkan bahwa secara linier konsentrsi NaOH mempengaruhi kadar selulosa pada pulp dengan tingkat kepercayaan 18,79. Berdasarkan hal tersebut dapat diketahui bahwa daun pinus berpotensi untuk dijadikan bahan baku dalam pembuatan pulp
ANALISIS PERBAIKAN PROSES BISNIS PADA PENGIRIMAN SAMPEL KEDATANGAN MATERIAL KERTAS DENGAN METODE BUSINESS PROCESS REENGINEERING DI PT. XYZ
Authors: Enik Enik Sulistyowati
Published: November 2023

Industri saat ini mengalami banyak perubahan dengan persaingan yang semakin ketat sehingga muncul industri – industri baru yang datang dengan strategi yang berbeda dan mengedepankan keterbaruan. Persaingan inilah yang membuat perusahaan kelas dunia telah mendayagunakan proses bisnis dengan metode yang sangat baik sehingga menjadi perusahaan yang selalu memenangkan persaingan berkelanjutan, seperti halnya PT. XYZ perusahaan percetakan dengan sistem Business Unit dituntut Continous Improvement disemua divisi termasuk QA DIM yang berperan penting karena bahan baku langsung harus diperhatikan ketersediaannya untuk kelancaran produksi. PT XYZ setelah penerapan IMI Centralization selalu terjadi keterlambatan pengiriman sampel kedatangan ke laboratorium pusat sebanyak 45% sehingga memerlukan metode BPR (Business Process Reengineering) yang terstruktur dan sistematis mulai dari langkah satu sampai langkah delapan dengan hasil penurunan keterlambatan sebesar 13% setelah dilakukan peningkatan proses bisnis, selain itu didapatkan pula proses yang lebih efisien sebesar 80,20 menit dari proses sebelumnya.
PEMANFAATAN APLIKASI PRIMASI DI YPPSB DALAM PENYELENGGARAAN LAYANAN PENDIDIKAN BERBASIS DIGITAL
Authors: Mulyono Mulyono , Bashori Sugeng
Published: November 2023

The developments in the globalization era have made technological developments rapidly develop in all lines of human life. The technological developments are not only limited to the development of fission tools or hardware therapy but also in the form of software. The development of application technology in the world of education for orderly administration and the digitalization of educational administration is growing rapidly. One of them is YPPSB, which is developing an application for administrative services for teachers and employees called the PRIMA application. In 2022, YPPSB, through the business manager and support, published an application called PRIMA. With this application, YPPSB provides easy administrative services, especially for teachers and employees who are under the auspices of YPPSB. Based on this, researchers are interested in knowing how to use the administrative services of teachers and employees at YPPSB through the PRIMA application at YPPSB. The research was conducted using qualitative methods by collecting data from results, interviews, observation, and documentation. Furthermore, the data was analyzed using interactive analysis, namely by condensing data, presenting data, and ending with conclusions. The results of the study can convey that the use of the PRIMASI application service at YPPSB has been going well with the convenience of teachers and employees in reporting administration at school. Based on the results of this analysis, it can be concluded that administrative services through the PRIMA application are registration and data collection of teachers and employees, validating teacher data, payroll and payment of overtime allowances for teachers and employees, submission of proposals, and data collection and repair of assets. Everything automatically uses the PRIMA application held by the operator at YPPSB, although I still found various obstacles.