bluuebunny/crossref_metadata_2025 huggingface dataset:
Mindfulness (Bilinçli Farkındalık) Metodu Kullanarak İleri Temsil Teknikleri Geliştirilmesine Yönelik Bir Çalışma
Authors: BİRGÖNÜL Zeynep , ÖKSÜZ Merve
Published: March 2023

“SELF.SAFE.SPACE” projesi, “İleri Temsil Teknikleri” seçmeli dersi kapsamında 15 öğrenci tarafından, bir akademik yarıyılda, 2 öğretim elemanı rehberliğinde geliştirilmiştir. Projenin amacı, bilinçli farkındalık yöntemlerinin pratiğiyle tasarım ve görselleştirmede yaratıcılık becerilerini artırmaktır. Dönem boyunca, öğrencinin hem geleneksel hem de dijital görselleştirme araçlarını birbiriyle harmanlayarak kullandığı ve kişisel temsil yöntemlerini keşfederek, yaratıcılığın üst sınırlarına ulaşmasına olanak tanıyan deneysel bir öğrenme prosedürü izlenmiştir. Stüdyo metodolojisi, öğrencilerin tasarım kabiliyetini, modelleme ve görselleştirme yazılımının kullanımını ve bu eksende bilişsel, beceriye dayalı ve duygusal sonuçlar geliştirmeye dayanmaktadır. Proje, öğrencilerin güvenli alan imgeleme egzersizi sonucunda oluşturdukları ütopik ve özel bir yerin yaratılmasını ve ileri anlatım teknikleriyle görselleştirilmesini hedeflemiştir. Bilinçli farkındalık egzersizleri katılımcılar tarafından ders içerisinde ve haftalık ders aralarında gönüllü olarak uygulanmıştır. Araştırmacıların gözlemlerine göre farkındalık ve dikkat düzeyleri ile yaratıcılık ölçümlerinin her hafta arttığı dönem sonunda yapılan bireysel değerlendirme envanterleri ile de doğrulanmıştır. Projenin sonunda öğrenciler, uygulamanın sonuçlarını ve kişisel gelişimlerini sınıf içinde gönüllü olarak paylaşmış ve yorumlamışlardır. Farkındalık tekniklerini düzenli olarak uygulayan öğrenciler, kendi imgeleme alanlarını oluşturup görselleştirmiş ve yaratıcılıklarını artırmaya yönelik kişisel yolculuklarına dair sıra dışı yansımalar üretmiştir.
Mekânsal Algının Görsel Temsil ve Yazılı Anlatı Üzerinden Ölçülmesi
Authors: SİPAHİOĞLU Nur , GÜRER Ethem
Published: March 2023

Mimari tasarımda görsel düşünme ve algı önemlidir. Tasarım sürecinin görsel temsiller üzerinden ilerlemesi ve bu temsillerin mekânın gerçekleştirilmesinde kullanılması görselliğe verilen önemi artırmaktadır. Ancak mimari tasarım sadece görsellik ile sınırlı kalmamalıdır. Çizimlerin yanı sıra yazılı ve sözlü anlatı da görev almaktadır. Mekânsal algı, görsel temsil ve anlatıyla şekillenir. Mekânın görsel temsilleri ben-merkezli veya dış-merkezli olabileceği gibi, görme biçimlerinin zenginliği sayesinde mekân daha farklı temsil edilebilir. Bu yönüyle görsel temsil, mekânı anlamak ve açıklamak için bir araç haline gelmektedir. Ancak mekânı tanımlarken ya da anlamaya çalışırken sadece görmek yeterli olmayabilir. Dil ile iletişim kurmaya alışkın olan insan doğal olarak sözel anlatıma başvurur. Görme, çevremizdeki dünyayla iletişim kurdukça gelişmişken dil, insanların birbirleriyle iletişim kurmak için geliştirdikleri sosyal bir sistemdir. Mekân algısı üzerine yapılan araştırmalar çoğunlukla görsel düşünme açısından ele alınmıştır. Ancak görme ve dil, mekâna ilişkin farklı bilgilere ulaşmayı sağlar. Görme ve dil yoluyla toplanan bilgilerdeki çeşitlilik, mimari mekânın zihinsel imgesini tamamlayabilir. Bu çalışmanın amacı, mekânsal algının oluşumunu görsel ve sözel temsiller aracılığıyla incelemektir. Çalışma, mekân algısının sadece görme duyusuna dayandırılmasının kısıtlayıcı olduğu ve algının hem görsel temsilden hem de sözel anlatımdan etkilendiği görüşüne dayanmaktadır. Çalışmada öne sürülen, görsel ve sözel temsillerin birbirini desteklediği ve böylece mekânsal algıyı güçlendirdiğidir. Bu çalışmada anlatının görsel temsili nasıl etkilediğini ve görsel temsil ile anlatı arasındaki bu etkileşimin uzamsal algıyı nasıl şekillendirdiğini ortaya çıkarmak için protokol analizleri yapılmıştır. Çalışmanın sonucu mekân algısının oluşumunda anlatı ve görsel temsil arasındaki ilişkiye olumlu işaret vermektedir, ancak bireysel farklılıkların etkisiyle ortaya çıkan durumları göz önüne alarak daha tanımlı deneylerle ortaklıklar desteklenebilir.
Mimarlıkta Temsilin Dönüşümünü Ayrık Paradigması Üzerinden Sorgulamak
Authors: SANCAK Zeynep Sena
Published: March 2023

Mimaride temsil, tasarımcının düşünce süreçlerini ifade etmek için kullandığı yöntemler bütünüdür. Bilgisayarın günlük kullanıma dahil olmasıyla beraber gelişen ve farklılaşan bu yöntemler, beraberinde çeşitli sorgulamaları ve yeni temsil biçimlerini geliştirmiştir. Çalışmanın odaklandığı nokta, yeni tartışılan bir kavram olan ayrık paradigması ile mimari temsil ilişkisidir. Ayrık paradigması hesaplamalı tasarım yöntemlerini kullanarak mimarlığın temel yapı taşları ve kuralları üzerinde denemeler yaparak yeni bir söylem geliştirmeyi amaçlar. Bu bağlamda çalışma iki soru etrafında şekillenmiştir: Mimaride ayrık paradigması nedir? Tasarım süreci nasıl gerçekleşir? Çalışmada, ayrık paradigması hakkındaki görüşlerin tartışılması, tasarım ve temsil ilişkisinin irdelenmesi amaçlanmıştır. Çalışma üç bölümden oluşmaktadır. Birinci bölümde, temsil kavramı tanımlanıp, 1960’lı yıllardan itibaren günümüze kadar bilgisayar ortamında temsil süreçlerinin nasıl dönüştüğü incelenmiştir. İkinci bölümde ayrık paradigması tanımlanıp, konu hakkındaki görüşlere, üretilen projelere yer verilmiştir. Aynı zamanda ayrık paradigmasının temelini oluşturan; ayrıklık, süreklilik, mereoloji kavramları tartışılmıştır. Üçüncü bölümde ise paradigmanın bilgisayar ortamındaki temsilini incelemek adına Rhino Grasshopper’da form denemeleri yapılmıştır. Çalışma, tasarım sürecinde üzerine çok düşünülmeyen parçadan bütüne olan ilişkisinin potansiyellerinin ve temsil yöntemlerinin incelemesi adına önemlidir.
Gestão de conhecimento em projetos de operações em uma indústria de cosméticos
Authors: Lage Natalia Pimenta Alves , Silva Vanderléia De Souza da , Poker Junior Johan Hendrik
Published: March 2023

Introdução: As empresas têm enfrentado grandes desafios na era moderna, para se adaptar e responder rapidamente às mudanças exigidas pelo mercado. Nesse contexto, a gestão do conhecimento (GC) é uma aliada na obtenção de vantagens competitivas. Entretanto, algumas empresas tem dificuldade em difundir a GC e potencializar sua utilização em projetos, deixando de atender necessidades dos clientes e operacionalizar agilidade nos projetos. Para elaborar um plano de ação de melhoria da GC em uma indústria de cosméticos, o presente estudo tem por objetivo identificar as práticas, os fatores influenciadores e as ferramentas utilizadas na gestão do conhecimento dos projetos de operações. Método: Para o levantamento das informações foi aplicação de um questionário online, com 17 perguntas objetivas para todos os participantes de projetos de operações nos últimos dois anos. Resultados: A pesquisa obteve 51 respostas, que demonstrou a utilização de diversas práticas de criação, compartilhamento, armazenamento e recuperação do conhecimento pelos colaboradores e que a empresa dispõe de ferramentas para armazenamento do conhecimento. Os fatores dificultadores indicados pelos colaboradores foram: priorização de outras atividades, rotatividade dos membros e baixa integração entre as áreas. Em contrapartida, os fatores facilitadores foram: as práticas de gestão de projetos; a definição de papéis e os sistemas e arquivos digitais. Conclusão: A frequência de utilização das práticas de GC pode ser melhorada com a aplicação do plano de ação proposto, que compreende a inclusão da GC nos objetivos anuais, a criação de comunidades para troca de práticas e a criação do programa de mentoria corporativa.
Os Ferreira dos Santos: uma família negra na Curitiba Pós-abolição
Authors: Oliveira Celso Fernando Claro de , Vanali Ana Crhistina
Published: March 2023

Este artigo tem por objetivo analisar a trajetória da família Ferreira dos Santos, em Curitiba, na primeira metade do século XX. Trata-se de uma família negra que viveu e conquistou significativa projeção em uma cidade caracterizada por um discurso oficial de enaltecimento de supostas raízes e tradições europeias que, comumente, marginalizou as contribuições da população afro-brasileira. Partindo-se da proposta de realizar um resgate da história dessa família, o texto volta-se para a trajetória de duas gerações — a dos progenitores Claro e Lucilia e a de seus nove filhos — que encontraram maneiras diversas de ocupar espaços na capital do Paraná, os quais, muitas vezes, estiveram restritos aos negros devido ao racismo estrutural. Para a realização dessa tarefa foram realizadas pesquisas em periódicos da época, documentos pessoais e também uma entrevista com Jacy Augusta Travasso de Morais, neta de Claro e Lucilia.
A notícia da Abolição da escravidão no Paraná: economia, trabalho escravo e livre nas décadas de 1870-1880
Authors: Bastos Matheus Sibioni Berti
Published: March 2023

Este artigo tem por objetivo analisar a correspondência oficial enviada pelo Presidente da Província do Parará, José Cesário de Miranda Ribeiro, às Câmaras Municipais sobre a abolição da escravidão no Brasil. Diferente da Lei Áurea, curta e concisa, a correspondência tratava de questões maiores, como cidadania e trabalho. Para isso analisaremos as legislações que tinham por objetivo a criação de um projeto desescravizador, que continha a Lei do Ventre Livre de 1871, Lei de Locação de Serviços de 1879 e a Lei dos Sexagenários de 1885. Ademais, analisaremos a economia paranaense na segunda metade do século XIX, principalmente relativo ao uso de mão de obra nas atividades econômicas do período, pois elas indicam como a correspondência era voltada não apenas aos recém libertos, mas aos trabalhadores da província em geral.
Entre encontros e desencontros, a presença
Authors: Costa Hilton
Published: March 2023

Homenagem póstuma à Pamela Fabris.
SRL-O and gamification–the connection between the two elements in online learning platforms supporting learning goals
Authors: Pausch Julia
Published: March 2023

Showing content in online platforms is a wide topic and the possibilities for representing content seem to be endless. This paper discusses the incorporation of learners’ goals into content in online learning platforms, with the focus on gamification as the content representation method. In fact, the aim of this study was to explore how learning goals in an online self-regulated learning environment match with gamification as an online representation possibility. Thus, the terms gamification, self-regulated learning and learning goals as presented in different studies are analyzed and introduced in this work. The method used in this paper was a qualitative and quantitative semi-systematic literature research method. The results show how gamification and self-regulated learning go together and which key elements are used in gamification. The findings confirm that gamification supports learners’ goals in self-regulated learning during the following phases: performance, forethought and self-reflection.
Nilo: uma aplicação para auxílio de compras em hortifruti
Authors: Sousa Jussara de Araújo , Diniz Fábio Abrantes
Published: March 2023

Com o crescente número de smartphones em circulação o acesso a informações e serviços se tornou mais democrático, pois a maioria das pessoas usam o celular para acessar a internet. No comércio online a maioria das transações ocorrem por meio de smartphone ou tablets. O setor alimentício é uma área de grande engajamento, pois, é um ramo de comércio que abastece as populações em geral estando em qualquer cardápio da sociedade, fazendo parte da ingestão da dieta recomendada. A parceria entre tecnologia e alimentos é necessário a fim de melhorar a satisfação do consumidor e economizar o tempo dos clientes nas compras. Desse modo a proposta deste trabalho se fundamenta no desenvolvimento de uma aplicação para o comércio de hortifruti, possibilitando, por meio dessa tecnologia, auxiliar na aquisição de produtos, incentivar o consumo e montar estratégias de marketing para satisfação do cliente.
Social Issues Shared Through Posters and Videos: A Way for Enhancing Productive Skills in ESL Students
Authors: Gutiérrez-Huancayo Vladimir Román
Published: March 2023

According to experts, students respond better to challenges where creativity and innovation are boosted than in the classical teaching-learning model, this also includes the English classroom. Based on this premise, this mixed and pre-experimental design research seeks to share the effect of a social poster project on tertiary education students’ productive skills performance in a public institution in Peru. The data was collected from 71 participants who were assessed before and after this through pre and post-test. In addition, a closed and open-ended questions survey was carried out to know the participants’ views on their posters’ creation experience and look for the most common rhetorical elements in their creation. The most noteworthy findings were the statistically significant score improvements in productive skills in the participants, upon project completion, and the favorable opinion about this, in conjunction with their preference for Logos design, at the time of persuading people.
Evaluation of inflammation in hypertensive, pre-hypertensive, and normotensive individuals using CRP and hs-CRP - A descriptive study
Authors: Hemalatha Hemalatha , Samuel Prince
Published: March 2023

Background: The incidence and prevalence of hypertension have been increasing steadily in the present era. Inflammation is a proven key factor in the pathogenesis of hypertension. C-reactive protein (CRP) is a known marker of vascular inflammation leading to hypertension. High-sensitivity CRP (hs-CRP) is a sensitive marker of assessment of inflammatory changes before the rise in CRP.

Aims and Objectives: The goal of this study was to decipher the stage at which inflammation starts related to changes in hypertension using CRP as well as hs-CRP.

Materials and Methods: This is a cross-sectional study which included 120 individuals, who were subdivided into three groups - Normotensive: 40, pre-hypertensive: 40, and hypertensive. JNC classification was used for the categorization of blood pressure. hs-CRP was analyzed as per the principle of ELISA.

Results: There was a significant difference in hs-CRP between normotensive and hypertensive. A strong association between hypertension, CRP, and hs-CRP was found.

Conclusion: hs-CRP is a sensitive marker for early assessment of inflammatory components in hypertension.
Data mining approach to predict academic performanceof students
Authors:   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Beleghata,Kolkata, Ghosh Partha , Roy Reet ,   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Beleghata,Kolkata, Mandal Souhardya ,   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Beleghata,Kolkata, Chowdhary Manthan ,   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Beleghata,Kolkata, Bokshi Subhajit ,   Department of Computer Science and Engineering, Government College of Engineering & Ceramic Technology, Beleghata,Kolkata
Published: March 2023

Powerful data mining techniques are available in a variety of educational fields. Educational research is advancingrapidly due to the vast amount of student data that can be used to create insightful patterns related to studentlearning. Educational data mining is a tool that helps universities assess and identify student performance. Well-known classification techniques have been widely used to determine student success in data mining. A decisiveand growing exploration area in educational data mining (EDM) is predicting student academic performance.This area uses data mining and automaton learning approaches to extract data from education repositories.According to relevant research, there are several academic performance prediction methods aimed at improvingadministrative and teaching staff in academic institutions.In the put-forwarded approach, the collected data set is preprocessed to ensure data quality and labeled studenteducation data is used to apply ANN classifiers, support vector classifiers, random forests, and DT Compute andtrain a classifier. The achievement of the four classifications is measured by accuracy value, receiver operatingcurve (ROC), F1 score, and confusion matrix scored by each model. Finally, we found that the top three algorithmicmodels had an accuracy of 86–95%, an F1 score of 85–95%, and an average area under ROC curve ofOVA of 98–99.6%.
Game subscription analysis--Take Xbox Game Pass as an example
Authors: Wang Jingwen
Published: March 2023

Game subscription is a huge innovation made by Microsoft and an important development trend of the game industry in the future. This paper focuses on analyzing game subscription and mainly focus on Xbox Game Pass (XGP). This paper analyze the XGP’s operational mode and benefit. And future prospect of XGP. Through the research, XGP is benefit for both Microsoft themselves, game producers and users. Through the calculation of software hardware ratio, it can be concluded that Microsoft can definitely make money under the XGP model. XGP also helps game companies to provide financial support and reduce the cost and risk of promotion. XGP also reduces the decision cost for users. So this model is benefit for both Microsoft itself, game producers and users. In order to attract users to buy the XGP, the most important way is to increase the games that the users can play by the XGP. So Microsoft started a big acquisition spree in 2018, buying a lot of game companies, including, Recently, acquired Activision Blizzard. Game subscription is also the future of the game industry, and many other game companies have adopted the same strategy, such as SONY's PlayStation Plus (PS Plus), EA launched a subscription service in 2018: Origin Access Premier (now EA PlayPro).And perhaps more companies will join the game subscription in the future.
Comparison of Stock price prediticon based on XGBoost and GARCH
Authors: Cui Shikun , Zhao Peiyang
Published: March 2023

For a long time, financial issues have been widely discussed by all sectors of society. There are many studies on the stock market, and the main purpose is mostly to predict stock prices and the overall trend of the stock market more efficiently. In this paper, the XGBoost Model and the GARCH Model are established in terms of the Shanghai Composite Index data. To be specific, the models are fitted and predicted by Python and Eviews, in order to find a better prediction mechanism. The XGBoost Model proposed in this paper is not satisfactory in terms of fitting and prediction effects, and has a certain degree of deviation. The GARCH Model shows a better performance in the short term. This research aims to find mathematical models that can effectively fit and predict the stock market through the combination of qualitative analysis and quantitative analysis. These results shed light on rationalizing the improvement of stock price prediction methods through simulation results.
The Impact of the Metaverse on the Future Development of Enterprises
Authors: Deng Boxuan
Published: March 2023

Since the outbreak of COVID-19, the leeway of people has been restricted, so that the desire of virtual world has been further deepened. With the advance of digital technologies such as blockchain and digital twin, the concept of Metaverse has been mentioned again. Metaverse refers to a 3D virtual space based on the future Internet and characterized by connection, perception and sharing. It presents a collective virtual open space, created by the convergence of virtually enhanced physical and digital reality. It is physically persistent and provides enhanced immersive experiences. This study concludes that the application of the Metaverse can bring a new path to brand promotion and marketing, create new needs of users and help enterprises to achieve cost reduction and benefit increase while there are risks of privacy, property rights and economy. At presents, the Metaverse is still an unripe concept. It needs the development of technology, legal constraints and government supervision to make it be widely used in life.
Social Responsibility in Environmental Protection of Clothing Brands in China: A Case Study of ANTA
Authors: Dai Yutong , Li Shiwei , Xie Hengxin
Published: March 2023

Corporate social responsibility was proposed by Bowen in 1953, but Chinese companies began to attach importance to it in the 21st century. China is a big exporter of clothing and textiles in the world, but there is little research on the social responsibility of Chinese clothing companies. Environmental problems have always been hot and arduous. The process of clothing production will cause a lot of negative impacts on the environment, so environmental protection is an important social responsibility of textile and clothing enterprises. Through the case study of Anta Group, this study discusses how Chinese clothing companies can enhance their sense of social responsibility and become environment-friendly companies. The significance and specific feasible methods of the clothing companies to carry out green activities are mentioned in this paper. This study provides some ideas for other companies on how to fulfill their social responsibilities through a successful case of a large company. We hope that through case analysis, more enterprises will pay attention to environmental responsibility and more research will focus on corporate social responsibility in China.
A Sales Prediction Method Based on XGBoost Algorithm Model
Authors: Li Kunluo
Published: March 2023

Reasonable and accurate sales forecasting is an important issue for large chain stores. Forecasting short- and long-term product sales helps companies develop marketing strategies and inventory turnover plans. In today's ever-changing business environment, the application of artificial intelligence technology allows for more efficient processing of large amounts of data while taking into account many external factors such as the climate, consumer patterns, and financial situation. An XGBoost linear regression model for the Kaggle competition was trained using the dataset of Ecuadorian Favorita chain stores that was made available. The suggested prediction model seeks to address the seasonality and data scarcity issues. In the context of machine learning, producing several samples for both training and testing aids in our ability to assess the model's efficacy. The most popular technique for detecting overfitting and underfitting issues is to create various samples of data for training and testing models. The experimental findings demonstrate that the XGBoost linear regression model can reasonably provide scientifically based predictions for chain store sales and has a high prediction accuracy.
Stock Market Analysis and Prediction Using LSTM
Authors: Chen Yuhui
Published: March 2023

Even for professionals and analysts, predicting the value of stocks has proved to be a challenging endeavor. Because they shed light on the expected future path of the stock market, accurate prediction systems for the stock market are beneficial to traders, investors, and analysts. This is because traders, investors, and analysts can better anticipate the market's behavior. The increase in available choices for financial investments has contributed to the complexity and unpredictability of the stock market. The goal of this project is to develop a model that could precisely depicting the market’s complexity as well as its high degree of volatility. The long short-term memory (LSTM) architecture of a neural network was implemented in this study to estimate Apple's next day closing price throughout the preceding decade. To forecast how the stock market will behave, its six fundamental indicators are integrated in a logical and well-balanced way. These indicators account for fundamental market data, macroeconomic data, and technical indications.
Research on approaches to improve Corporate Performance through CSR: From the perspective of Stakeholder Theory
Authors: Wei Kepei
Published: March 2023

Since the outbreak of COVID-19, pharmaceutical enterprises have become increasingly important and have played a crucial role in ensuring people's life, health, and safety. Meanwhile, people continuously pay attention to the social responsibility performed by pharmaceutical enterprises. On the one hand, corporate social responsibility can maintain the brand image and improve its popularity. On the other hand, it can form a supervision role for the enterprise itself. Based on the role of stakeholders, does corporate social responsibility have a positive impact on corporate performance? This issue becomes the focus of this paper. Using the case of Pfizer, this paper analyzes corporate social responsibility (CSR) at the level of shareholders, employees, consumers, government, and social groups. Also, this paper compares CSR with corporate performance from the second quarter of 2021 to the second quarter of 2022. This paper found that corporate performance indicators would move in a negative direction when Pfizer did not actively fulfill its social responsibilities, especially at the level of shareholders, consumers, and the government. Therefore, through the case study of Pfizer, it can be concluded that corporate social responsibility has an impact on corporate performance. If an enterprise actively performs its social responsibility, corporate performance would also be improved accordingly, and vice versa.
Research on the Promotional Online Marketing Strategy of Chinese Financial Businesses
Authors: Jiang Xinze
Published: March 2023

Promotional online marketing strategy is the strategy for businesses to use online resources for product promotion. In recent years, due to the prosperity of the Internet and the restrictions of the epidemic on offline promotion, more financial businesses have sought to transform traditional promotional marketing strategies into online promotional marketing strategies to expand their markets. Due to this trend, this paper studies the market value of marketing transformation and expansion of online promotional marketing strategies in the financial industry. This paper also provides financial businesses with an analysis of promotional online marketing strategies about risks and opportunities, strengths and weaknesses, thus helping businesses to evaluate the significance of implementing promotional online marketing strategies. The two adopted research methods are the case study, which takes H company as the example, and the literature research method, which summarizes the article “the marketing strategy of Internet financial products of Z bank” by Suo Nanji. After analyzing the current promotional online marketing strategies of H company and Z bank, this paper proposes to optimize the promotional online marketing strategies for the two businesses, respectively. The evaluation and proposal have a certain role to follow and define for other Chinese businesses which provide financial services and are considering the development of online promotional marketing and following strategies.
The analysis of the impact of COVID-19 on wellness tourism
Authors: Li Ziteng
Published: March 2023

Wellness tourism, a new tourism mode that focuses on helping people maintain and condition their bodies while meeting the needs of travel and sightseeing, has grown rapidly and gained popularity in recent years. The outbreak of COVID-19 has dealt a major blow to the wellness tourism industry. This paper rationally analyzes the impact of COVID-19 on the wellness tourism industry from three aspects: tourism economy, tourists' willingness, and market recovery. The study finds that COVID-19 is probably a crucial stage to promote the development of wellness tourism. And the paper proposes strategies to cope with COVID-19 for government and enterprises respectively, such as strengthening economic policy encouragement and improving enterprises' own strength, and retains great confidence in the development of wellness tourism. Through the joint efforts of the whole society, wellness tourism can gradually thrive and eventually reach an unprecedented level of prosperity. This paper makes a systematic analysis of the blow of COVID-19, which helps the country and enterprises to make future planning to assist the recovery of wellness tourism, and has some practical significance.
Financial Analysis and Investment of The Food Industry
Authors: Liu Rui , Sun Yandong , Wang Bingxuan
Published: March 2023

Through data calculation, analyze the changes in the operating status of KFC, McDonald's and Burger King in recent years. Combining global dynamics in recent years, such as the Covid 19, to derive externally changing factors and explain how these external factors have affected operating conditions. Comparing the operating data of the three fast food chains, it is analyzed that the investment risk of Burger King is greater than that of the other two fast food restaurants, and due to Restaurant Brands International Inc. (the group to which Burger King belongs), Burger King is most affected by external factors. At the same time, because the localized menu adopted by Burger King lags behind that of KFC and McDonald's, and the 100% franchise model used has low-risk resistance capability, Burger King's global reputation and several stores are not as good as those of the other two. Therefore, in terms of business status and income, Burger King is not a better investment target.
Prediction of stock price by Hidden Markov model
Authors: An Xin
Published: March 2023

Hidden Markov model is widely used in different fields, such as speech decoding, weather prediction, biometric, medical diagnosis and prediction. This paper explores the application of hidden Markov model in quantitative investment in the financial field, mainly in the field of securities trading. The main idea of this paper is to crack the different market states reflected in the price changes of securities. Price changes are affected by different market states at the same time, but this state is hidden and needs to be inferred. If people can calculate the relevant parameters of the state and its transition matrix, people can predict the stock price trend and establish the own trading strategy at the same time. The hidden Markov model is used as a theoretical basis in this paper, through the analysis of the fit between the stock market and the model, as well as various statistical knowledge as a tool. Through EM algorithm and machine learning as the programming basis, people finally selected Pingan and Moutai as the research objects, predicted the stock price changes through training. Therefore, when the training set is sufficiently large, hidden Markov model will have a bright performance in stock price prediction.
Predicting BMW Stock Price Based on Linear Regression, LSTM, and Random Forest Regression
Authors: Tao Sijian
Published: March 2023

The stock market is one of the most significant aspects of a county’s economy. Stock price prediction is not easy to implement due numerous features influencing it. This study will choose BMW as the target company, and predict its stock price with various state-of-art scenarios. The central claim of this article is to construct three reliable models that could predict the stock price of BMW by extracting and analyzing previous days’ stock prices. The major analysis is done by modeling and exploring data analysis, and is composed of several graphical methods. For the modeling part, three models (i.e., Multiple Linear Regression, LSTM, and Random Forest Regression) are constructed to predict BMW stock price. The database consists of five years of BMW stock prices on Kaggle to explore more analysis. Then, step by step checking and demonstrating are presented to prove the feasibility and precision of these three models. According to the analysis, the most precise model that has the highest accuracy and lowest error by analyzing regression and model results. These model final outcomes indicate that the Multiple Linear Regression model presents a higher accuracy and lower mean squared error than LSTM and Random Forest Regression. These results shed light on guiding further exploration of BMW stock price prediction.
Evaluation of Chinese Semiconductor Companies’ Stock Based on Factor Analysis and Cluster Analysis
Authors: Yang Guishu
Published: March 2023

The stock market has always played a very important role in the economy which could help to study the development and status of companies and even countries. With the continuous development of science and technology and the new prosperity of computing, telecommunication, banking, security, and manufacturing, the demand for semiconductor products is increasing, especially in China, which has become the world’s largest regional market. Due to some objective reasons like national policy support, large market space, the emergence of new industry types, the subdivision of the industrial chain, and the M&A wave, China's semiconductor industry prospects are very good. Therefore, this paper aims to provide some suggestions for different types of investors by dividing the stocks into different categories and summarizing their characteristics through the research on semiconductor stocks. This article selects 60 different stocks and 18 various indicators for research and adopts factor and cluster methods to analyse. Finally, it is found that these 60 stocks can be roughly divided into 4 groups and each category has its characteristics.
Economic Effects of the COVID-19 Pandemic on Europe’s Supply Chain: Perspectives from Spain, Germany and Italy
Authors: Chen Duoyuan
Published: March 2023

In this article, the economic impacts of the coronavirus on Europe's supply chain will be investigated, with a particular emphasis placed on three countries. This article contains an extensive analysis of the significance of supply chain management to the economy of a nation. As a result, it examines the effects in great detail in the introduction, which also contains background information, the research objectives, and a literature review of the entire body of work. This paper continues on to discuss the data and methodology on which during the getaway there was a significant discovery on ways that the supply chain can be improved so that there will be more flexibility in dealing with an event such as a disaster. During the getaway, there was a significant discovery on ways that the supply chain can be improved so that there will be more flexibility in dealing with an event such Risk avoidance, target analysis, digital supply chain operations, supply chain planning, and supply chain risk management are some of the approaches that could be investigated in order to establish a setting that is more favorable for carrying on with life.
Comparison of Different Machine Learning Scenarios for Stock Price Prediction of Netflix
Authors: Chen Haoxin
Published: March 2023

Buying stocks based on relatively accurate predictions to make a profit is what investors have been yearning for. However, due to the volatility and stochastic intrinsic of the stock, the price is also full of uncertainty, which is difficult to predict. With the improvement of computer performance and the popularization of machine learning methods nowadays, effective stock prediction methods emerge one after another. In this paper, random forest, XGBoost, and LSTM techniques are utilized for predicting the closing price of Netflix, which is one of the major stocks in Nasdaq and has been fluctuating this year. The closing price of the previous five days and the last day’s volume are used as inputs. The models are evaluated by MSE and R-square. According to the analysis, similar model evaluation results in random forest and LSTM indicate that the models are efficient. Furthermore, the prediction could be improved by considering the fluctuations of stocks simultaneously and introducing more variables in various dimensions. These results shed light on guiding further exploration of predicting stock price movements based on advanced machine learning methods.
Comparison of the Financing Approaches for New Energy Vehicle Industry
Authors: Huangfu Junwei , Tang Zekai , Wang Xiaoge
Published: March 2023

Contemporarily, driven by multiple factors, various new energy vehicle enterprises have developed rapidly but on the other hand. It also brings new opportunities, and various new industries rise rapidly. As new emerging enterprises, financing plays a vital role in corporation management. This paper will make a comparative analysis of various financing channels (bank loans, trust, equity financing, bond financing, venture capital, etc.). Meanwhile, in combination with the 'financing scheme selection' and 'major financing cases' of the four new energy automobile enterprises (Tesla, rivian. Lucid, NiO), the role of various financing schemes in the new energy automobile industry is studied and discussed by using the case analysis method, comparative case comparison method, literature analysis method and quantitative analysis method. The paper will give suggestions on financing channels for different new energy vehicle enterprises according to the research results. The purpose of the paper is to help the new automobile company with some advice and reference. These results shed light on guiding enterprises with different conditions to choose their own financing methods and provide financing suggestions for enterprises under different conditions.
The Impact of Normalized Covid-19 Pandemic on Tesla’s Yield and Volatility
Authors: Jia Mingyu
Published: March 2023

COVID-19 has been going on for almost three years now and has had a significant impact on people's daily lives, industry, agriculture, etc. Meanwhile, the financial markets have been very turbulent due to the epidemic, and many inventors were also nervous as a result. Electric vehicles which are the fastest growing industry in recent years have attracted a considerable range of attention. Therefore, this paper selects Tesla which is one of the largest electric vehicle companies as the research subject. Also, this essay intercepts a lot of data, including Tesla stock market closing price, new daily confirmed cases of China, and new daily confirmed cases overseas and uses impulse response and ARMA-GARCH model, to study how Tesla’s yield and volatility have been affected by the normalized Covid-19, and to make a prediction about the future development of Tesla. Moreover, some suggestions are given to the investors and policy makers to help them to make a better decision.
Research on the Impact of COVID-19 on All Walks of Life and Countermeasures
Authors: He Kaidi
Published: March 2023

Since the sudden outbreak in 2019, COVID-19 has had a great impact on the whole social economy. By analyzing the specific reasons for the blow or promotion of all industries, This paper discuss the specific countermeasures to promote the future development of the industry. Research shows that the impact of the COVID-19 on tourism and catering industry is rapid and destructive. But it has a significant role in promoting the Internet industry. Today, when the epidemic situation is gradually stabilized and normalized, enterprise managers can no longer imagine returning to the normal operation mode, and should actively reform to adapt to the stable development of the overall environment. For some industries that are currently enjoying the dividends brought by the epidemic, they should be soberly aware of the strength of their products, analyze the actual growth rate brought by the epidemic and make plans for long-term development.
Characteristics, Causes, and Countermeasures of Bribes Offered by Multinational Corporations in China
Authors: Chen Siyi
Published: March 2023

The bribery behavior of multinational corporations in China is characterized by the fact that the subjects of bribery are mostly world-renowned multinational corporations, and the objects of bribery gradually penetrate government officials. The means of bribery are more covert and more difficult to be detected and handled, and bribery involves the key fields of medicine, energy equipment, telecommunication, and finance. The reasons for the occurrence of bribery by Multinational corporations in China include the imperfect legal system, the punitive measures of giving bribes lightly and receiving bribes heavily, and the cultural system differences. In order to effectively strengthen the governance of the problem of active bribery of multinational corporations, it is necessary to strengthen theoretical legal research, analyze in depth the characteristics of the law of bribery crimes, amend and improve criminal laws in a timely manner, increase the efforts to combat the crime of active bribery. And strengthen international cooperation in combating the problem of active bribery of multinational corporations. Therefore, this paper identifies common multinational corporations’ behavioral tactics characteristics as well as feasible measures by examining the issue of multinational corporations’ bribery.
An Overall Analyses of Apple Company
Authors: Li Marco , Sun Yuxuan
Published: March 2023

Apple has many times been the world's most valuable brand, its products and services powerful enough to influence the tastes of a generation. As a result of pandemics recently, the global economics has been severely impacted, and the operational risks faced by Apple have also expanded. Based on the business strategy and profit model of Apple Company in recent years, we will use the two investment methods of NPV and IRR to analyze the current data and make a rough forecast for the future market. This study provides implications for investor to evaluate corporate value.
Research on the Characteristics of Youth Consumption Behavior and Marketing Strategies of the Chinese Mobile Game Industry
Authors: Zhang Yiyi
Published: March 2023

In recent years, smart mobile terminals have rapidly occupied the world market and promoted the development of the Internet industry. China has 1.19 billion mobile Internet users, ranking first in the world. As a product of the mobile Internet, mobile games have gradually become one of the main entertainment items for netizens because of their portability and mobility. As the main force among mobile Internet users, teenagers have contributed a lot of consumer behaviors in mobile games. If a mobile game wants to occupy a certain position in the highly competitive market, it is vital to formulate an appropriate market strategy for teenagers. Through literature analysis and qualitative analysis, this paper summarizes the concept, types, characteristics, market status, and existing problems of mobile games in the Chinese market. It analyzes the characteristics of young people’s consumption behaviors in mobile games, mainly including “self-identity” and herd effect. This paper also puts forward some improvement plans for game design, game marketing, and game community to promote young users’ consumption behaviors in mobile games. At the same time, due to the particularity of underage users, this paper also discusses the necessity of reasonably setting up an anti-addiction system. This paper has strategic marketing significance for mobile game companies whose main target customers are young people. At the same time, based on the huge customer group of the youth in the mobile media market, this article is also very important to promote the steady development of the mobile game market.
The Influence of Sino-US Trade Friction on U.S. Soybean Export
Authors: Li Dailong
Published: March 2023

With the increasingly close trade between China and the United States, a large number of soybeans grown in the United States were exported to the Chinese market, and the trade volume gradually increased. After decades of expansion, Sino-US agricultural trade has entered a competitive situation. And agricultural trade frictions between the two countries have intensified since 2018 when China imposed a 25 percent tariff on soybeans imported from the United States. Taking export volume of U.S. soybean as the research object, through horizontal and longitudinal comparison, supplemented by data analysis, this paper studies the plight of US soybean export caused by the trade war. The consequences of trade frictions include lower incomes for farmers, economic and political deterioration in farm states, loss of market advantage for United States processed soybeans for a short time. In order to alleviate the above difficulties, it is necessary to improve the emergency mechanism, expand the export destination of soybeans, and develop trade with other agricultural products in China, which can also provide reference for export risk control and agricultural product structure improvement.
Marketing of games--Take Genshin Impact for example
Authors: Ke Zhong
Published: March 2023

Genshin impact is an open-world game that was released in September 2020 and has attracted a lot of foreign fans in the months since its launch. It has been included in the list of national key cultural export projects and is a successful case of Chinese cultural export. This article focuses on the capabilities of Genshin Impact's operating company and why the game is so popular with gamers. A game and its company are not perfect, so this article will also mention the problems of game promotion, solutions and suggestions. Now Chinese culture is going to the world, more and more people like Chinese culture and want to know more about Chinese culture. Therefore, this paper also discusses the cultural exchange and cultural transmission in Genshin. Combined with the epidemic situation in the world and considering that many people are unable to travel, this game shows the characteristics of combining culture and travel on the whole.
Investor Sentiment Analysis Based on Comment Text for Stock Price Prediction
Authors: Wang Zihan
Published: March 2023

The sentiment of stock investors is affected by many factors, and the trend of stock price is reflected by the decision behavior of stock trades. Previous tendency can be seen in technical index, and people's sentiment towards the stock is closely related to the text of commentary on the stock. This paper adopts sentiment dictionary to classify the same stock comment text, and modify the corpus of SnowNLP to train a model that conforms to Chinese stock comment. Based on the stock technical index and the established sentiment index to achieve the stock price prediction, so as to achieve a better analysis and prediction of the stock price trend. According to the analysis, the established investor sentiment index has a good effect on stock prediction. To be specific, the predictive regression score of the investor sentiment index is significantly improved compared with those of purely technical indicators, and MAE, MSE and other error indicators are obviously decreased. These results shed light on guiding further exploration of stock forecast with investor sentiment.
Telecommunications Industry: Analysis on Customer Attrition Prediction and Segmentation
Authors: Zeng Wanrou
Published: March 2023

Churn prediction is essential for the survival of every business as it allows proactive action planning, whereas customer segmentation is an effective grouping approach commonly used for product marketing and customer relationship management. This paper analyzes the current development of customer attrition prediction and segmentation for the telecommunications (telco) industry, and explores the integration of both approaches that results in an actionable matrix framework for customer retention. This paper consists of four parts: review and analyses on the machine learning techniques used for customer attrition prediction, review and analyses on the machine learning techniques applied for customer segmentation, review on the integration framework, and finally provides discussions for future works. The background and business applications of these approaches are introduced in this paper so businesses can apply the techniques for their business needs. Most importantly, this paper lays out the directions of future works to be done for telco churn management based on the improvements needed form the current state of the art.