bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital transformation of real estate industry: opportunities, challenges and strategic suggestions
Authors: Qian Zhen
Published: April 2023

After more than 20 years of rapid development, China's real estate industry has changed from an incremental market to a stock market with a gradual slowdown in growth. As the 14th Five-Year Plan for national information states that China will insist on the strategy of digital transformation, it is the right time for real estate industry to carry on a digital revolution. This paper illustrates the current challenges confronted by real estate enterprises, including the confusion of digital transformation, complex data sources, the lack of professional talents and duplicated organization systems. Also, to overcome these challenges, this paper provides practical suggestions on how the real estate industry can conduct digital transformation. This paper aims to provide significant insights into current situation of real estate industry and give guidance to help the industry process digital transformation.
Research on Problems and Optimization Strategies of Chinese Womens Super Football League
Authors: Yu Chenjie
Published: April 2023

The Chinese womens national team won the 2022 Womens Asian Cup, a great opportunity to develop the Chinese Womens Football League. However, the Chinese womens football team has not received widespread attention from society. With the spread of technology, online broadcasting has become an option for more fans and an important match broadcasting and promotion area. Therefore, this paper studies the promotion and broadcasting of the Chinese Womens Super League through the literature research method, survey method, and statistics method, analyses the current situation of the promotion and broadcasting of the Chinese Womens Super League, and proposes development strategies. The Inner Mongolia Football Channel is responsible for broadcasting the Chinese Womens Super League matches. However, with the decline in the frequency of television viewing in China and the popularity of wireless internet TV, Inner Mongolia Football Channel faces low awareness and, consequently, low viewer ship. As a result, there is a need to increase awareness of the channel by bundling it with high traffic content, for example. Broadcasters of matches in the Chinese Womens Super League need to make full use of the interactive nature of the website by setting up interactive sessions such as prize draws and encouraging commentators to answer pop up questions.
Research on the Influence of CBA Product Packaging on Home Court Culture to Attract Fans
Authors: Wu Chengkai
Published: April 2023

CBA is currently in a period of rapid development. A good home culture atmosphere improves the excitement of the game and attracts fans, and increases the audiences enthusiasm. This thesis focuses on how the CBA can attract more fans through product packaging in home court culture. CBA product packaging plays an important role in the whole tournament. A series of packaging of products can stimulate consumer interest, increase the desire to buy, and improve the attendance rate of spectators watching the tournament, thus attracting media attention to the tournament enthusiasm, attracting various sponsors to CBA investment efforts. The CBA competition is a virtuous cycle. This will attract the fans and bring benefits to the club simultaneously. This paper will analyze the current situation of CBA and other leagues through case study and comparative analysis and make suggestions for the improvement of CBA in terms of home court atmosphere. The main value of the CBA leagues home court culture will be reflected to promote the socialization of people and contribute to the orderly operation and development of the society, etc., to contribute to the development of CBA in the world in the near future.
The Enlightenment of German Short-term Work Schedule to China under the Background of COVID-19 Epidemic
Authors: Cai Yuchen , Shen Yanyan
Published: April 2023

Starting from the concept of German short-term work schedule, this paper fully studies its operation system from various aspects and discusses the changes it made during the COVID-19 epidemic. Based on the actual situation, the ARMA model is used to analyze the data of the five major commodity industries in Germany during the epidemic. By comparing the average relevant data of Germany with those of the European Union, the euro area and OECD during the COVID-19 epidemic, the advantages of Germany's short-term work schedule are high-lighted and the disadvantages are analyzed. Finally, in view of the advanced experience of the schedule, combined with the national conditions of our country, the paper puts forward reasonable suggestions for the unemployment insurance system in our country.
ESG Scoring System Construction: Portfolio Investment Based on Machine Learning
Authors: Dong Yulin
Published: April 2023

The majority of existing ESG rating systems in the Chinese market are based on categorical classification ratings, and as a result of the voluntary disclosure system, rating data provided by rating organizations is occasionally absent or delayed. This article employs natural language processing (NLP) to extract keywords such as green, clean, renewable, poverty alleviation, and moral from the financial reports of CSI 300 constituent companies, and then counts their corresponding frequencies in order to construct percentage ESG ratings that address the discontinuity, imprecision, and time lag inherent in the original ratings. This article employs a self-normalized neural network (SNN) to develop a multi factor model based on the suggested ESG ratings and then conducts sector neutral hierarchical back-testing to compare the proposed rating to the traditional ratings. The results indicate that the model generated using the ESG ratings developed in this research yields a higher rate of return than the model built using traditional ESG ratings, and the model constructed without an ESG factor. This may be because deriving ESG ratings directly from financial statements eliminates the risk of corporate falsification or whitewashing of accounts. This work adds to the body of knowledge by proposing a novel approach to constructing an ESG scoring system and incorporating it into portfolio investments to maximize returns.
Analysis of Nikes Performance Based on Its Financial Accounts and Ratios
Authors: Zhang Minglun
Published: April 2023

The COVID-19 epidemic has severely impacted all business activity in 2019-2021, especially the sportswear industry with governments lockdown and quarantine policies. Therefore, through this paper, the pandemics impact on Nikes financial performance is explored, and to what extent it has recovered. This paper mainly analyzes the sportswear conglomerate Nike, focusing on presenting its financial performance through ratio analysis between the years 2019, 2020, and 2021, as well as comparing it to major rival competitors in the industry to evaluate its overall performance. Data for this investigation are obtained through the companies respective official income statements and balance sheets, from which profitability, efficiency turnover, and liquidity ratios are derived to both vertically and horizontally compare Nikes financial performance for an accurate evaluation. Through this paper, it is uncovered that Nike has healthily recovered from the losses introduced by the pandemic, and maintains its highly competitive position compared to its rivals, Adidas, and Puma.
Analysis of the COVID-19 Pandemic on FAAMG Companies Performances Under the Fama-French Five-Factor Model
Authors: Yang Boyu
Published: April 2023

The COVID-19 pandemic has led the U.S. stock market to tumble during the last two years. To further discover the effect of the pandemic on specific companies, this paper utilizes the Fama-French five-factor model to analyze the performance changes for FAMMG companies before and after the COVID-19 outbreak. OLS method is applied to the FAAMG companies stock returns to examine the fitness of the model, and the fitness is strengthened after the outbreak. The pandemic causes significant changes in betas of the Fama-French five-factor model, specifically Robust minus Week (RMW) and Conservative minus Aggressive (CMA).
The current situation of fast fashion industry and how to reduce the waste
Authors: Gao Shuang , Guo Yun , Wang Peiru
Published: April 2023

Since entering the 21st century, the development of fast fashion has faced a number of environmental problems. The design of circular economy is the best way to deal with fast fashion pollution, while the existing recycling system, traditional waste disposal methods are inefficiencies and are no longer enough to deal with the pollution caused by today's fast fashion industry. So this paper discusses some cutting-edge technologies to meet the development of circular fashion and achieve the approaches for sustainable development of fashion industry. After a specific analysis of the pollution of the fast fashion industry to the climate, water and the waste caused, this paper introduces the infrared technology to accelerate the sorting of clothing raw materials in the waste, enzymatic technology to process and degrade the raw materials, and the use of new sustainable materials in three steps to obtain an advanced technology support, sustainable fashion circulation system. In the future, this improved fast fashion circulation system still needs more experiments to be tested, also the government and relevant departments need to formulate relevant policies to support the development of this system. On the other side, the fast fashion industry's pollution of the environment, especially water bodies, and its treatment methods need to be studied.
How Does the RussiaUkraine War Affect the Stock Market?--An Empirical Study
Authors: Yu Junyan , Chen Guoxuan
Published: April 2023

The RussiaUkraine war is one of the most topical affairs of the first quarter of 2022. This study investigates the responses of stock market indexes and commodities markets to the ongoing war between Russia and the Ukraine. Using daily adjusted index prices from 1 April, 2021 to 19 April, 2022, and drawing data regarding Russian exports from the United Nations Comtrade database, we observe a negative relationship between the level of reliance on Russian exports and the change in daily (compound) returns. Our results indicate that this relationship was stronger during the two-week period after 22 April, 2022, than when a long-er impact window (22 February 19 April, 2022) is used. These results are consistent with existing studies on other major geopolitical events.
Prediction for Financial Crisis Based on Data from 14 Developed Counties
Authors: Fan Yujie , Wu Youyou , Cheng Yingying , Zhu Shengnan
Published: April 2023

This article provides an analytical process for predicting a financial crisis. The article mainly adopt the regression method of limited probability model and logit model on the panel data from 14 developed countries from 1870 to 2008. Causality problems have also been condidered when translating the regression output. The core finding of our research is that our model has a relatively weak ability to predict financial crises due to their low frequency, so the focus should lie on how to make policies to minimize the consequence of financial crises rather than trying to prevent them in advance. A very important assumption within our analysis is that it ignore the spillover effect of the financial crisis between countries, which may simplify our model but is not appropriate in the real world.
Application Research of Portfolio Related Theory--Based on Hong Kong Stock Data
Authors: Li Jialong
Published: April 2023

With the development of the stock market, people have carried out in-depth and comprehensive research on the portfolio theory. This paper aims to verify and analyze the practical application of the relevant theories. By collecting the stock price information of Hong Kong stocks as the target, this paper verifies and discusses basic theories such as tangent portfolio theory, portfolio diversification effect, Markowitz portfolio theory and Sharpe ratio. In the minimum variance portfolio and the tangent portfolio, this paper obtained the weight of each asset under the conditions of assets and without risk-free assets. Finally, the differences in the weights of investment targets in the portfolio are analyzed and discussed. The results show that, first, in the minimum variance portfolio, when considering risk-free assets, only investing in risk-free assets is considered, and when risk-free assets are not considered, assets with lower variance are given higher weights. Second, in a tangent portfolio, regardless of whether risk-free assets are considered, assets with higher Sharpe ratios in the portfolio are given higher weights. This can give some guidance and suggestions for future investment behavior.
Research on Digital Transformation Strategies of Small and Medium-sized Enterprises
Authors: Zhou Qifan
Published: April 2023

With the global pandemic of COVID-19, cross-border trade has become extremely difficult. A large number of private trading companies in China are facing the crisis of no customers and no orders. The emergence of electronic marketing can effectively relieve this crisis and bring new development areas to trading companies. This article takes the example of QW Company to study how to help troubled small and medium-sized enterprises through electronic marketing. Through research, this article proposed several ways to help trading companies out of problems through electronic trading. Electronic trade will be the development direction of trading companies in the future. The Internet effectively breaks the barriers between countries. Through the Internet, companies can greatly improve the exposure and popularity of brands. In the era of digital economy, the digital transformation of small and medium-sized enterprises is an inevitable trend in the development of the times, which requires enterprises to attach great importance.
Modern Portfolio Theory: analysis and implication
Authors: Liu Yixuan
Published: April 2023

The Modern Portfolio Theory (MPT) from quantitative theory explains the correct of the logic of investment which isnt put all your eggs in one basket. Although this theory is published in 1952, investors are still using this theory nowadays. Therefore, this paper is researching why this theory is enduring, whether it can provide some insights into the behavior of investors, and what shortcomings can be solved by using other derivative theories based on this theory. The most significant observation of this study can be divided into two parts. Firstly, many limitations of MPT can be improved by Goal-based investing and Post-modern portfolio theory. Secondly, this theory can help the investor to choose the optimal portfolio theory depending on their attitude and goal when they chose the portfolio. There is a strong need for a novel approach, especially for concluding extra costs when investors calculate the risk-adjusted returns. After that, this theory is using historical data to calculate the expected data. Those limitations will influence the choice of optimal portfolio theory.
The Impact of Information Overload on Investment Decisions under the Information Disclosure System of STAR Market
Authors: Guo Yameng , Liu Yiting , Pan Zhiyuan , Bu Guoqin
Published: April 2023

Due to the rise of the STAR Market, the information disclosure system has become a crucial component of registration, while a growing information overload issue has also emerged. This paper uses an experimental economics approach to investigate how information overload will affect investors in the STAR Market. And besides, this paper introduces investor experience as a moderating variable to analyse whether investor experience has an impact on the mechanism of action between information overload and investor decision making. The results show that in a stock market formed by real data, as the rate of effective information disclosure decreases, investors' returns decline and investors tend to make more rational decisions, with investor experience having less impacts on the moderating effect between the two. In response to this conclusion, this essay provides investors and policymakers with some options for fostering the growth of the STAR Market.
The Necessary Additions for Making Good Game Products
Authors: Gao Jingqi
Published: April 2023

Through the analysis of the two studios in the game industry, Bioware and Bungie, this paper discusses the ways in which game companies can steadily scale up in commercial marketing, increase and maintain the sustainable development of the studios. Based on analysis of the commercial failure of Anthem, a large-scale 3A multiplayer co-op game produced by Bioware, released by EA, elicit the failure of Bioware and Bungie in contrast. At the same time, this paper adopts the method of combining quantitative analysis and qualitative analysis to demonstrate the theme of the article. As a result, the studio as a team needs clear and directional leadership to guide the philosophy and direction of game production. In the game creation, there should not be too much interference from the publisher or outside the studio. Furthermore, when the game fails initially but is not dead yet, resources should be mobilized to remedy it, changing the route and strategy of the game, rather than giving up prematurely. Moreover, during the period from project initiation to completion of production, the working methods of the production staff should fully reflect the efficiency, which is also closely related to the supervision of the game project manager.
SWOT Analysis of Vacheron Constantin
Authors: Fan Puyu
Published: April 2023

Vacheron Constantin is one of the brands of luxury watches. The brand has developed rapidly in recent years. This study will use SWOT analysis to analyze Vacheron Constantin, and then find out what problems Vacheron Constantin has in international marketing and provide corresponding recommendations. SWOT analysis is one of the most popular methods of analyzing companies. Our main message is from filing trips to offline stores. After research, we found that Vacheron Constantin has solid products, but they lack interior decoration and strategies to attract customers.
Influence of International Investment Arbitration Under the International Law
Authors: Lin Xiaorong
Published: April 2023

Not only do MNEs bring construction and opportunities to the host states, but at the same time, unrestricted MNEs often bring shock and damage to the local economy and domestic market of the host states. In order to regulate international investment, there are many international treaties, conventions and laws in the world, which are collectively referred to as International Investment Law. The IIL incorporates international investment activities between the participating countries and their MNEs into a legal and regular framework. In the work of dealing with the relationship between them, a very important thing is to reasonably settle the investment disputes between the two parties. The methods to settle the disputes include litigation and arbitration, but the arbitration has actually become the most important and popular method. International investment arbitration is bringing lots of benefits to both the MNEs and the host states. The method of comparative research is used to illustrate the characteristics and differences between litigation and the arbitration in international investment disputes settlement. The advantages of arbitration are reflected and the reason why arbitration has become the most popular way to settle these disputes is explained. In the explanation in the article, the method of cases analysis is used, and especially in the fifth part, it focuses on the arbitration case of Cairn Energy PLC and Cairn UK Holdings Limited v. India. PCA Case. It supports the conclusion that arbitration has become the most popular method of international investment disputes settlement.
Tax Avoidance of Multinational Enterprises and Its Countermeasures
Authors: Jiang Chengwei
Published: April 2023

With the deepening of the process of globalization, the types and scales of international tax avoidance activities are increasing, and the connections between countries and countries involved are also increasing. The international tax avoidance behavior represented by multinational corporations has become increasingly diversified and common, which Therefore, in order to bring the economy into line with the world and join the ranks of international competition, it is necessary to severely crack down on some unreasonable and illegal tax avoidance behaviors of multinational corporations. The trend of economic globalization in today's world is irreversible. The main carrier of economic globalization is transnational corporations, and transnational corporations are also the most frequent part of economic activities. Therefore, the main tax avoidance activities and tax avoidance methods of transnational corporations naturally become our focus. object. This paper uses case studies, comparative studies and other methods to analyze the tax avoidance of multinational companies, sorts out and summarizes Apple's tax avoidance cases and its main tax avoidance methods , and deduces the common tax avoidance methods of all multinational companies, and concludes that multinational companies are unreasonable. The dangers of tax avoidance. And the impact it will have on the international community, and finally put forward relevant feasible suggestions for the anti-tax avoidance work of various countries.
Five-Force Analysis, SWOT Analysis, Value Chain Analysis of Apple in Technology Industry
Authors: Li Mengke
Published: April 2023

Apple is the most valuable company by Forbes, Apple strategies play a key role in Apples success. Based on Five-Force Analysis, SWOT Analysis, Value chain Analysis methods great brand awareness and strong bargaining power with suppliers and customers are two factors of its success. Great brand awareness leads high volume of customers and brand loyalty. Strong bargaining power guaranteed Apple has great margin when products have been sold.
Time Series Analyze for Chinese Total Output
Authors: Xu Yongyang
Published: April 2023

Adopting times series model to directly forecast the Chinese total output. The framework I present circumvents the simple linear models and allow me to forecast the next month trade surplus directly. Instead of doing simple linear regression, I use ARIMA model selection to construct the optimal predict function. The dataset we used is after differenced once, since the original data is not stationary enough. There are no simple regression models to compare since other scholars had shown the performance of linear regression is not well. After doing ACF, PACF, EACF and BIC to draw two alternative ARIMA model, I use maximum likelihood and least square methods to estimate the parameters. Then, I obtain the predicted value of Chinese total output surplus of April 2022, and make comparisons with the true value. The model I selected gives the wrong trend, but the true value is in the significant level. For further studies, times series analysis can add more samples into dataset and take machine learning into consideration to draw a more precious prediction.
The Impact of Outward FDI on the Employment Skills Structure of Chinese Firms
Authors: Kong Siji , Li Xiaoqing
Published: April 2023

Based on the panel data of China's manufacturing public listed firms from 2011 to 2015, this paper examines the impact of Chinese manufacturing enterprises' foreign direct investment on the employment skills structure using the fixed-effect model. We found that firms with OFDI, compared to those domestic firms, tend to reduce their employment of producer and finance employees, increase the employment of sales, technical and unskilled labor; increase the share of technical workers and reduce the proportion of producer, finance, sales, and unskilled workers. Compare to intermittent OFDI, firms with continuous OFDI have more employment of sales and technical personnel. With respect to OFDI host countries, OFDI toward OECD countries has negative effect on non-skill jobs, while toward non-OECD countries has positive effect on skill jobs, such as finance, sale and techs job. Using the PSM method to conduct an endogenous test, we find that the key results of OFDI impacts remain robust.
The Effect of Internet Information Dependence and Land Transfer on Agricultural Production Technical Efficiency of Households
Authors: Peng Yuexiang
Published: April 2023

In this essay, the author studies the relationship between internet information dependence, land transfer, and agricultural production technical efficiency based on the CFPS database, including observations from households from 25 provinces in China. The stochastic frontier approach is adopted to predict the technical efficiency of each household, and then OLS, group regression, and regression under interaction terms are applied, respectively. As a result, leasing land from others and internet information dependence are proven to have a positive impact on technical efficiency, while only in the case that the house owner does not depend on the internet to acquire information, the effect of leasing land from others is significant. Though the interaction term between internet dependence and land transfer is not significantly negative, internet dependence does have a substitution effect on land transfer in terms of improving technical efficiency. The result sheds light on developing countries striving to increase agricultural production efficiency and thus presents possible suggestions for peasants to gain better economic status.
The Effect of Covid-19 on Retail Industry in the US
Authors: Wei Jianing
Published: April 2023

This paper introduces a major infectious disease, Covid-19, that broke out in 2022. It spread out in a very fast speed and cause a deep influence on the peoples society, especially the retail industry. The main purpose of the article is to define the specific influences or problems that retailers faced because of Covid-19, and solutions came from it. To deal with a fast infected disease like Covid-19, the government usually publish new policies. The article focused on the United State. However, a comparison between the actions of the U.S. government and the Chinese government is listed to prove a better reaction and policies. Compare to China, the U.S. government reacted less and most patient did not get a proper treatment. It caused some problems such as most stores closed, disruption of supply chain and food chain, and increasing of unemployment rate, which caused a lot of pressure on retailers who heavily relied on those factors. In order to help retailers, the U.S. government, especially the Federal Reserve, gave a lot of support on stock market, and the usage of delivery services and online shopping was also helped. Although the Covid-19 caused many problems on retail industry and lead to a severe economic recession, with the support of the government and other solutions, it was getting better.
Go Deep into Super-Resolution: A Systematic Review Based on Problem Decomposition and Classification
Authors: Zhou Yongqi
Published: April 2023

Super-resolution (SR) has been attracting research attention in recent decades because of the growing demand for higher resolution. A large variety of algorithms in the computer vision field was applied to improve this issue. In this paper, we provide a problem-based analysis for the SR problem by dissembling the original issue into several subproblems. We broadly bring these problems under three main levels, information augmentation, mapping, and orientation and control. Furthermore, we elaborate on various research perspectives under each level, summarizing typical and advanced algorithms improved on related processes. Besides, we discuss the similar ideas and evolutionary relationships revealed in different methods. We also arrange some popular datasets and competitions in the SR field. By doing this, we aim to inspire deeper investigation and enlighten possible research sites of SR problems in the future.
A Novel Recommendation Algorithm Based on Multi-objective Evolution
Authors: Zhang Jiaqi
Published: April 2023

During the past two decades, recommender systems have been playing an increasingly significant role in business decisions for providing personalized recommendations. However, the majority of the present algorithms attach excess importance to accuracy while overlooking users demand for diverse items. We have proposed a novel multi-objective evolutionary recommendation algorithm, which has the capability to look for compromise among accuracy and diversity. Moreover, due to the fact that Pareto optimal solutions of recommendation tend to be sparse, the proposed algorithm implements a new strategy of population initialization with the consideration of the sparse nature of the Pareto solutions. The proposed algorithm will take effect in the recommender systems.
Research on the Implementation of Purchasing Power Parity Strategy in Chinese Market
Authors: Wang Yan , Tao Yuyang , Gao Ran , Liao Chuhong , Zhang Jinhe , Tang Tianjun
Published: April 2023

Purchasing Power Parity, a calculation or a strategy that could be used in measuring and comparing the different exchange rates between two countries, and in order to go more in-depth on deciding whether to trade to make profits in each time period. Our research is based on the last twenty years changes in exchange rates, inflation rates, and interest rates, to compare G10 countries different purchasing power to the Chinese market to obtain the forecasting on this strategy whether it makes a positive return or not with further future details and recommendations within this strategy. First, we collect all the data needed for this research by going through different authoritative websites to download the data records that are sufficiently provided. Then, we apply the specific formulas that were used to measure the exact purchasing power parity values among countries to have an overview of cumulative Profits and Loss graphs; to interpret the ups and downs over twenty years in different samples from the past. The actual research is developed into two samples, in the sample and out of the sample, to ensure the correct direction we are focusing on. Overall, we conclude a few main points to be careful within PPP, a brief comparison between advantages and disadvantages, and other considerations throughout the whole trading process.
Comprehensive Analysis for Intelligent Recommendation on Mobile Applications
Authors: Su Hai
Published: April 2023

With the development of mobile devices and mobile apps, corresponding app recommendation analysis has received increasing focus in recent years. Such recommendation analysis covers aims including app evaluation, API-based app development, customer investigation, app security, etc. Meanwhile, various types of recommendation techniques are exploited in the app recommendation analysis, which continually improves the development of this direction. However, there is still a lack of a systematical study providing an overall development picture for these app recommendation efforts. Thus, it faces an obstacle for related researchers following this direction of work, and correspondingly is not conducive to the future development. To overcome the problem, in this paper, we take the first step to systematically investigate this direction of efforts. To this end, we summary the main works and techniques used in more than 35 important works in this direction. To better understand the development routines, we have analyzed the characteristics of these works from two perspectives, i.e., technology and research scenario. We have obtained some interesting conclusions within this research direction, and put forward some work suggestions according to the overall research.
Improving Performance Parameters of Clusters Using Density-Based Algorithm
Authors: Keshvani Twinkle , Shukla Madhu , Jayswal Meghnesh , Makadiya Kishan
Published: April 2023

With the advancement in technology, data generated by non-stationary in day-to-day life is massive, continuous and rapid. Many applications such as IoT, transaction systems, network sensors, video surveillance systems, and network intrusion detection systems generate a massive amount of real-time data. The data used in traditional data mining is static in nature, and it can be revised for processing and Analysis. While data in data stream mining is dynamic in nature and it never stops. Besides, the data generated may have a change imbibed in its characteristics over a long/short period of time which is called concept drift. So, analysing such data has huge inbuilt challenges that deal with the dynamism of the characteristics of data itself. This dynamic nature is because of fast and continuous changing data and its enormity. To overcome this limitation, we can use modified clustering techniques that could help us in proper data analysis. Clustering is an effective method used in data mining; but clustering data streams may add some additional challenges such as storage capacity, limited time, one pass and rate of arrival. Furthermore, data streams are fickle in nature and because of this behaviour it needs to be processed as and when it arrives. In addition to that, knowledge about the number of clusters like in K-means clustering is unknown. In view of these characteristics of the data stream, the information or the data generated in the data stream are non-deterministic. Such non-deterministic information contains noise points or outliers, so developing an effective clustering algorithm in a data stream is a crucial task. These methods can work with labelled data in data stream clustering, which has the potential to identify clusters of any shape and noise. The motivation for this research work is using the said algorithm to address and overcome the constraints of the data stream and to dig out the best knowledge from it.
Towards a Secure Fog-Computing Cyber Space: A Bayesian Game-Theoretic Risk Management Framework
Authors: Akinwumi David , Gabriel Arome Junior , Akinyede Raphael Olufemi , Oluwadare Samuel Adebayo , Alese Boniface Kayode
Published: April 2023

Cyber security is one of the most difficult and fast-growing concerns today's enterprises are focusing on. The practice of reducing potentially damaging and unknown events that pose a danger to cyber security is known as cyber security risk management. The Game Theoretic Approach is a popular cyber security risk or threat management strategy (GTA). This study provides a paradigm for cybersecurity risk or threat handling based on a game-theoretic approach to Fog computing, which will encourage proactive cyber risk management and improve cyber-operational efficiency/effectiveness. The method is written in such a way that the PyQt4 framework acts as a shield for the Fog server, performing inline packet inspection and logging any malicious packets to the console and a database on the server using Snort. The study proposes a Bayesian game model for risk management in the cyber domain.
Research on SGD Algorithm Using Momentum Strategy
Authors: Xue Liqi
Published: April 2023

With the continuous development of stochastic gradient descent algorithms, many efficient momentum algorithms have appeared. Stochastic gradient descent(SGD) is one of the classic algorithms in optimization. Its accelerated version, the SGD algorithm with momentum strategy, has been a hot research topic in recent years. Therefore, this paper will analyze and summarize these series of algorithms, starting with the classical momentum algorithm, and introduce some improved versions of the momentum algorithm. Numerical experiments on real problems will also be done to evaluate the performance of these algorithms. It is proved that the addition of momentum and adaptive learning rate effectively improve the performance of these algorithms. In future research, some cutting-edge momentum algorithms and other basic network should be analyzed.
Identification of Kidney Related Disease Using Deep Learning
Authors: Selvaraj S. , R. Thangarajan , R. Ramya , N. Nandhini
Published: April 2023

Nowadays, kidney stone problems are frequent, as more people are suffering from acute discomfort caused by kidney stones. The main cause of this disease is a high level of unhealthy food consumption and a low level of water consumption. Most health problems can be avoided if we drink enough water, but in this fast-paced world, people often forget to do so. As a result, stone concerns have arisen and been discovered as stone sizes have grown greater. They employ coronal computed tomography (CT) scan results and other study data on the belly and thorax to determine the sizes of stones and detect them in hospitals. This could assist in locating the issues. They currently utilize a back propagation method to assist them spot problems with an accuracy of 85 percent. We suggested deep learning methods and approaches, which process training data and data sets with labels, to find a more accurate level than the previous one. To obtain an accurate result rate, a larger number of photos are compared and analyzed with the scanned images. The accuracy level has been raised to 97.6%. So that we can acquire reliable results and diagnose problems sooner. We can observe how deep learning works and how it handles urological difficulties in this paper.
Pemberdayakan Kompetensi Guru dalam Penguatan Model Pembelajaran Cooperative Learning Siswa di SDN Kenari 07 Pagi
Authors: Alberth Supriyanto Manurung  , Abdul Halim  , Ainur Rosyid
Published: April 2023

Cooperative Learning is a model of logic regarding the form, arrangement, magnitude and concepts related to each other. The concept is always related to everyday human life. Cooperative Learning in the form of Empowering Teacher Competencies in Strengthening Cooperative Learning Models Students not only increase curiosity but always develop according to the times, Cooperative Learning is a model that aims to instill and develop the learning process in teachers. Based on the results of observations at SDN Kenari 07 Pagi in the learning process, teachers still use conventional or teacher-centered teaching methods as information providers, with the literacy movement students are expected to improve the good quality of each problem-solving concept in the form of application questions. The purpose of this community service activity for PKM is Empowering Teacher Competence in Strengthening Cooperative Learning Learning Models is to increase knowledge which changes from time to time. The subjects of this community service are all students at SDN Kenari 07 Pagi.
Reuse Upcycling Sebagai Wujud Peduli Lingkungan Warga Sekolah di SD Islam Cendekia Kota Bukittinggi
Authors: Nefilinda Nefilinda , Salsa Agra Siwi
Published: April 2023

The purpose of implementing service activities is to provide knowledge, skills and experience about reuse upcycling as a form of environmental care for school residents to reduce waste in the school environment, this is also a contributor to waste. Also consider reducing waste, it is also necessary to pay attention to the aesthetic side and have good usability. The method used in this community service activity is the lecture method and practice/demonstration. The lecture method was carried out to deliver material on environmental impacts related to the amount of waste in the form of used cardboard, used flannel, leftover yarn, used plastic bags, and used tires. An explanation of how to make upcycling reuse to utilize used goods. The method of practice/demonstration is carried out to provide examples of the process of making reuse upcycling starting from making a toga garden and making a reading garden. The results of these training activities are (1) The implementation of training activities on making a toga garden using flower pots that can still be utilized by painting and using used tires as a garden medium in the school yard as a reuse upcycle, (2) School residents are trained in gardening read by reusing upcycling using used cardboard, used flannel, leftover yarn, used plastic bags, and old tires to extend the life with high creativity. Based on the evaluation of the process, 100% of participants' attendance during the training was met. Meanwhile, based on the results of the practice, 80% of the participants were able to make a toga garden and a reading garden well, have good usability and creativity.
Sosialisasi dan Strategi Personal Selling Penerimaan Mahasiswa Baru Fakultas Ekonomi dan Bisnis Iain Palangkaraya dalam Kondisi Pandemi Covid-19
Authors: Sofyan Hakim  , Arif Mubarok  , Hilmi Satria Himawan  , Hanief Monady
Published: April 2023

COVID-19 has hit the world and has had a major effect on all activities and sectors of the community's economy in the world. This impact also affects state universities' ability to recruit new students, so it requires a strategy to be able to compete with other universities. This research was conducted to determine the strategy carried out by the Faculty of Economics and Business at the Islamic State University of Palangka Raya to attract new students using descriptive-qualitative methods. Data to support this research is sourced from primary data obtained through interviews with the parties concerned and secondary data obtained from various data and documents. This research refers to the theory of personal selling strategies, which includes four strategy processes, namely: attention stage, interest stage, desire stage, and action stage, based on the results of interviews, observations, and other data collection. The results of this socialization show that the campus in accordance with its strategy of netting new students is applying an excellent process.
Penetapan Harga pada Pedagang Ayam Potong di Pasar Tradisional Kota Tembilahan
Authors: Supyani Supyani , Madjid Nazori , Habriyanto Habriyanto , Bahrul Ma’ani
Published: April 2023

The purpose of this study was to analyze and describe why the pricing of broiler chicken traders in the traditional market of Tembilahan City has different prices. The research method uses a qualitative approach with the type of case study. Data was collected by observation, interviews, and documentation. Data analysis using John's model. W. Creswell, Miles and Huberman namely data reduction, data presentation, data verification, and drawing conclusions. Checking the validity of the data using data triangulation. The results of the study found that the different price fixing between the teak market, the Parit 11 market, the morning market, and the floating market in Tembilahan City were caused by; First, the profit per kilogram of broiler chicken differs from one market to another, so that the selling price is different even though the location is not far away and the producers of chicken are the same, the two consumer backgrounds in each market are not the same, namely the class society. low-income and high-class people, so that slaughtered chickens are still sold even at prices that are not the same from one market to another, the three strategic locations in one market and a less strategic location affect the price fixing by market traders.
Pelatihan Mengidentifikasi Kesulitan Belajar Siswa Anak Yang Berhadapan dengan Hukum Selama Pandemi Covid-19
Authors: Moses Glorino Rumambo Pandin  , Christinawati Christinawati
Published: April 2023

This paper will present a research process on learning models for children who faced the law during the pandemic at the Children's Penitentiary. The Covid-19 pandemic is haunting people's lives around the world, including learning activities, especially for children. Teachers, are required to remain present in classes with strict health protocols, so there is no difference before and during a pandemic. The difference demanded is the model and method of learning that must vary so that students can remain focused, not bored, and remember the lessons. Teachers must be able to understand the circumstances and needs of students well. The learning model the author offers is a therapeutic model. The learning model offered in community service activities is a therapeutic model. This activity applies descriptive analysis method. At the beginning, the teacher tried one participant who was selected because of his extreme behavior. Based on the pictures that student made, and what the student wrote, then analyzed the teachers who had been trained using the data on the difficulties experienced by the participants as the basis for forming a teaching model according to the circumstances of the students.
Pemberdayaan UMKM Melalui Digital Marketing dan Branding Produk pada UMKM Kerupuk Desa Bambayang Sukabumi.
Authors: Yani Sya'banniah Nispi , Shafiyyah Rahmatul Umma Shafa , Andriani Ingka , Fachmi Ramadhan Muhamad , Yuningsih Erni
Published: April 2023

This community service was carried out at Barokah Crackers UMKM, Bambayang Village, Cicurug District, Sukabumi Regency. This activity aims to empower MSMEs and provide knowledge and provide training to business actors in increasing competitiveness in this era of globalization. Because currently the economic condition has kept up with the times that all use digital in their business, but many MSMEs do not take advantage of it because they are unfamiliar with using electronics so that MSMEs are unable to compete with other products that are all online. The problem faced by Kerupuk Barokah SMEs is that there is no use of digital marketing in promoting their products and there is no implementation of branding . Digital marketing training, creating social media accounts and making packaging brand labels are expected to help MSMEs introduce their products to consumers to increase their competitiveness so that marketing can be carried out effectively and efficiently. In addition, training in recording financial reports is expected to help MSMEs become more informed about the calculation of the profit to be obtained and the estimated capital to be issued.
Pengembangan Relationship Capital Pelaku UKM Agro di Kabupaten Donggala
Authors: Djayani Nurdin  , Asngadi Asngadi , Husnah Husnah , Muh. Yunus Kasim  , Mohammad Ega Nugraha
Published: April 2023

One challenge in developing SMEs is still weak access to financial institutions and markets, making it difficult for SMEs to develop. The difficulty of access to financial resources will have an impact on limited business expansion which will result in a weak capacity to expand business volume. On the other hand, weak market access also has an impact on the small market controlled by SMEs which has an impact on small product demand growth. The weakness factor that sticks to SMEs is mainly access to business development. This service program aims to strengthen understanding of the importance of relationship capital for the development of agro-businesses in Tamarenja Village, Donggala Regency. In this community service activity, lecture, question and answer, and discussion methods are used. This training activity is focused on Agro business management training through strengthening business networks. There are three stages in the implementation method, namely the preparation stage, the implementation stage and the evaluation stage. The result of this activity is that agro-business actors in Tamarenja Village can be developed on a wider scale considering the current large market such as opening access for IKN (National Capital City), the growth of the Morowali industrial area, strengthening the Togean tourism industry and growing demand in the local market.