bluuebunny/crossref_metadata_2025 huggingface dataset:
Obesity is a disease: A Consensus Report by the Alliance to Fight Obesity in Greece
Authors:   Alliance to Fight Obesity in Greece, Kapantais Efthymios , Athanasakis Konstantinos , Vlachopapadopoulou Elpis Athina , Vryonidou Andromachi , Charmandari Evangelia , Tentolouris Nikolaos
Published: November 2023

Obesity is defined as a chronic disease characterized by abnormal or excessive fat accumulation in the body. Obesity has taken on epidemic proportions, as the prevalence of overweight individuals globally is almost 30%. The causality of obesity is multifactorial; positive energy balance, genetic factors, endocrine diseases, medications, and food intake disorders are involved in the pathogenesis. Hippocrates wrote that “obesity is a disease itself and the harbinger of others”, recognizing that obesity is a disease that leads to many other diseases. Many scientific societies and the World Health Organization recognized obesity as a chronic disease. Obesity adversely affects many tissues and organs of the human body and is considered a multisystem disease. Obesity is closely related to increased mortality, development of type 2 diabetes mellitus, hypertension, atherosclerotic and thrombotic events, malignancies, respiratory, renal, neurological, musculoskeletal, and gastrointestinal disorders, and it affects immune system and fertility. Obesity is related to high health costs and affects quality of life. Primary prevention is of major importance and may lead to significant savings on resources. Upon establishment, it should be treated as a severe disease, the management of which reduce mortality and may prevent the development of severe and life-threatening complications. As a disease, it should stop being so underestimated and take the important part that it should be occupying in the public health and, once its importance has been recognised, it should be given the opportunity of being correctly treated in a scientifically way for the benefit of the people with obesity and the healthcare system.
Cartografias de um Arquivista.
Authors: Regina Ramos Maria , Almeida Teresa , Loureiro Domingos
Published: November 2023

O presente artigo discute o modo como, no contexto da Arte Atual, linguagens e processos consubstanciados em suportes de documentação – Arquivo – têm vindo a funcionar como uma importante modalidade criativa, ao nível das estratégias de construção autoral. À luz de propostas como “Herbário de Plantas Artificiais” (2002-) do artista colombiano Alberto Baraya, “New Pictures from Paradise” (1998-) do artista alemão Thomas Struth e “Trajeto de um corpo” (1976-1977) do artista português Alberto Carneiro, desenha-se uma visão em torno do “gesto arquivista” – das suas diversas formas, registos e estratégias de “apropriação” simbólica e conceptual – como um instrumento diacrónico de atuação e captação da identidade do lugar, analisando as experiências reais dos artistas “in situ” e as suas traduções e implicações estéticas e poéticas na construção e “re-significação” desses “extratos” de território – tanto discursivos, quanto mnemónicos e imagéticos.
“Destination Portugal”
Authors: Gentil-Homem Pedro
Published: November 2023

A companhia aérea de bandeira TAP consolidou no imaginário nacional durante bastante tempo uma certa ideia de país evoluído, e como tal mais próximo das democracias europeias saídas da Segunda Guerra Mundial. Imagem essa assente numa (factual) ideia de segurança e avanço tecnológico que funcionou como antídoto para o atavismo que reinava à beira mar plantado - um pequeno motivo de orgulho nacional. A empresa, actualmente com quase oitenta anos de existência, atravessou muitos contextos socioculturais, tendo essa imagem flutuado umas vezes ao sabor e outras contra a corrente do regime. O presente artigo apresenta dois casos de estudo em design de comunicação de duas das maiores agências de publicidade à época em Nova Iorque, contrapondo duas imagens de Portugal muito distintas. Imagens criadas por “gringos” e “para gringos verem”1. Estes acontecimentos têm lugar num período importante da história do século XX português: a “Primavera Marcelista”, uma utopia  propagandística que antecipava o “dobre a finados”2 do regime.
Supporting Literary Criticism with Data Visualization: Four Design Guidelines for Facilitating Interdisciplinary Collaborations
Authors: Elli Tommaso
Published: November 2023

The application of data visualization in the context of literary criticism opened promising research directions but may raise frictions due to different traditions and approaches into play. Visualizations are commonly designed to promote a “view from nowhere” and appear objective, transparent, and factual. Literary criticism, instead, valorizes individual viewpoints and interpretations. The article presents an inquiry based on Action Research, Participant Observation, and Structured Interviews to explore divergencies between core methodologies of literary criticism (i.e., close reading and interpretation) and data visualization. It proposes four guidelines to orient design work conducted in this interdisciplinary area: embed situatedness, negotiate elusive concepts, use overview as a companion, support thinking with visual manipulation.
Interpretive Content of a Musical Work: The Performing Aspect
Authors: Solomonova Olga , Ohanezova-Hryhorenko Olha , Demydova Viola , Kuchurivskyi Yurii , Bordonyuk Volodymyr
Published: November 2023

The relevance of this study is determined by the urgent importance the issues of training the musicians in the context of qualitative nurturing their abilities for music interpretation in accordance with the author's main ideas. The purpose of this study lies in the analysis of the main features of the problem of interpretation of musical works by different composers, in terms of the development of the performing skills of musicians, as a major constituent of qualitative perception of a musical piece. The leading methodological approach to consideration within the scope of the research combines a systematic approach to the study of the features of performing different pieces of musical culture, depending on their individual characteristics and the level of performance skills, with the analytical study of the development of performance skills of the individual performers, in the context of their training in modern educational institutions of primary, secondary and higher music education. The results of this study indicate the high importance of qualitative interpretation of musical works by performers for the perception of listeners, as well as the low level of research on this range of issues, which necessitates further research in this area. The results and conclusions of this study are essential for teachers of educational institutions that train future musicians, as well as for the musicians themselves, who by the nature of their professional activities face the urgent need to reflect in the musical works they perform the author's intention expressed in the intonational palette of the musical work and to enhance their performance to expand their ability to reflect the meanings of a piece of music.
Design de Interfaces direcionado a utilizadores com baixos níveis de escolaridade e de literacia
Authors: Guimarães Leonor , Martins Nuno , Brandão Daniel
Published: November 2023

O presente estudo foi desenvolvido no âmbito do projeto de investigação “ECHO: ecoar o eu comunitário”, que visa documentar práticas auto-iniciadas em bairros sociais de Vila Nova de Gaia, Portugal, e disseminá-las em contextos sociais análogos, sobretudo através de uma plataforma online. Neste grupo da população dos bairros sociais, principal público-alvo da plataforma online, detetou-se uma percentagem considerável de indivíduos com baixos níveis de escolaridade e de literacia. Perante este problema, surgiu a necessidade de estudar uma solução de Design de interface que garantisse, a este tipo de indivíduos, uma utilização agradável e eficaz da plataforma online. Com base numa profunda revisão de literatura, foram estudadas, avaliadas e delineadas um conjunto de orientações de Design, e, posteriormente, testadas num protótipo criado para o efeito. Os testes de usabilidade realizados comprovaram a eficiência das orientações propostas, contribuindo, desta forma, para responder ao problema supramencionado deste projeto de investigação, como também para outros potenciais casos de Design de Interface dirigidos a este tipo de utilizadores de baixos níveis de escolaridade e de literacia.
The problem of influences on the monumental art of the Ukrainian-American artist S. Hordynskyi
Authors: Berehovska Khrystyna , Tarasenko Olga , Nahorniak Khrystyna , Pavlyshyn Anastasiia , Davydova Karina
Published: November 2023

In today’s conditions, namely, the establishment and development of the Ukrainian nation, its cultural and historical origins are of great significance. Ukraine is beginning to restore its position in the international arena, and therefore the issue of its cultural and artistic development in world art history, and the spread of famous artists and painters is relevant. One of them is Sviatoslav Hordynskyi, whose work was devoted to the research of the stages of development of the Ukrainian diaspora in Western Europe and the United States. Thus, the purpose of the work was to express the role of the work of the Ukrainian-American artist S. Hordynskyi in the process of developing monumental art. The research used the methods of analysis, synthesis, comparison, deduction, historical, and generalisation. As a result, it was established that the spread of Ukrainian art history in the modern world is influenced by several factors. They are conditioned upon drastic socio-economic and political changes in the international arena. Accordingly, the Ukrainian nation, its art and culture are beginning their revival and general recognition in world art history. The research has established that S. Hordynskyi mostly used approaches that combined both Byzantine and Renaissance traditions, which is a distinctive feature in his monumental works. As a result, it has been proved that S. Hordynskyi managed to develop his specific performance style, which distinguished his vision of the holy face. Considering this, the research has demonstrated that one of the main approaches used by the art critic in the course of writing his works was the conceptual ideas of “Boichukism”. The practical value of the results obtained in this work is that they can be used to disseminate the works and ideas of S. Hordynskyi among contemporary Ukrainian painters and foreign ones.
Indonesia’s Public Diplomacy: Interfaith Meetings in the Netherlands
Authors: Wijsen Frans
Published: November 2023

This chapter addresses the question of what policy-makers in the Netherlands and Indonesia can learn from each other in safeguarding national unity. It analyses the Public Diplomacy program of the Indonesian government and bilateral Netherlands–Indonesia interfaith dialogues from the perspective of secularism and religion–state relationships. It uses public–private partnership between the Indonesian embassy in the Netherlands and two non-governmental organizations, namely the Netherlands–Indonesia Consortium for Muslim-Christian Relations and the Special Branch of Nadhlatul Ulama in the Netherlands, as cases. The chapter concludes that the governments and policy-makers in both countries advocate neutral engagement with religions, but that they not always practice what they preach. In the Netherlands the freedom to have a religion is under pressure. In Indonesia the rights of religious minorities and the right to be without religion is under pressure. The chapter concludes that what policy-makers in both countries can learn from each other is to balance extremes.
Earth Religion, “Forest People” and Environmental Disputes: A Case Study on a Pursuit for National Unity and Sustainability in Estonia.
Authors: Hiiemäe Reet
Published: November 2023

This chapter offers a comparative study from Estonia related to the following research topics of this volume: “What philosophy, secular or religious, succeeds or succeeded in promoting peace and stability”? Are there comparable philosophies of national unity from other countries? It gives an overview of the wide-spread self-identification of Estonians as nature-friendly “forest people”, an image that is selectively based on the environmental concepts found in the archival folklore manuscripts describing traditional folk religion, and the role of folklore about natural sacred sites in the rhetoric of active followers of earth religion (maausk). Based on media accounts, participant observation, interviews with earth believers and persons who attend events in natural sacred sites, the chapter brings examples how such environmental folklore and national identity building are combined with protest activities for protecting natural objects and habitats. Based on some case analyses related to natural sacred sites, the paper will explore the potential of earth believers and related grassroot initiatives in non-hegemonically supporting local and national identity and promoting environmental awareness and sustainability.
Ubuntu Worldview as a Condition of Possibility for National Unity
Authors: Kankindi Antoinette
Published: November 2023

The spirit of Bandung can be summarized in the aspiration that the fate of Asian and African countries was neither to be determined by the Cold War divide, nor decided by the great metropolises of the world. Asia and Africa, 68 years later, have followed different paths. The Asian-African solidarity did not survive. The reason for this could be the fact that there was a difference between the Ubuntu solidarity and the many ideologies as well as influences that prevailed at the conference. This backdrop explains why the conference has not had a significant resonance in Africa, mainly in terms of national unity, which remains an aspiration. An examination of what was at play at Bandung indicates a few factors that could have made that aspiration achievable, even though such factors were either sidelined or overlooked. Using V. Y. Mudimbe and Kwasi Wiredu’s perspectives on African solidarity, this paper explores the different influences that carried the day at the conference. The aim is to show how the principle of solidarity derived from “Ubuntu” worldview as a condition of possibility for national unity was overlooked, yet it is the one needed for true nation-building. The conclusion of the paper demonstrates why the Bandung Conference, by inscribing itself in the line of global policy and international conferences underlying such policy, embraced the limitations that come from all globalizing attempts. Those attempts are bound to fail because of ignoring local values. Finally, the conclusion sketches the typically African values that happen to be, in reality, universal and, as such, might be the pillars of a battle against new forms of colonization hidden in global policies.
Machine Learning in Medical Insurance Prediction
Authors: Lei Qiyun
Published: November 2023

Nowadays, the trend of an ageing society is more and more obvious. Accompanied with the huge population of the elderly, the medical insurance industry has more prospects and potential. As a result, more service and business operations of insurance companies are in need. With the analysis from past data, computer algorithms help a lot in predicting the new output values, aiding data-driven business decisions, ranking of influential factors and digital computerization. Through machine learning, the insurance companies are able to make a decision flatly in premiums without having unnecessary medical expenditure. The provided models include linear regression, polynomial regression, and random forest. Through the comparation of these three models, with the output data of MAE and other indicators, we can see that polynomial regression is the best model. Within the efficient operation of this method, it can soon be prevalent among the medical industry. Avoiding problems of high cost of labor and inevitable manmade mistakes, polynomial regression aids the technical advance and statistical progress to prosper.
Research on the Rule of Law Path of Personal Credit System in the Context of Digital Finance
Authors: Shu Chengle
Published: November 2023

With the continuous development of society, big data, cloud computing, and other financial technologies have been applied to financial credit. Some algorithmic black box" inherent in big data and other problems have been brought by those technologies to the governance of personal credit systems. At the same time, due to the imperfection of China's current legislation and evaluation standards in the personal credit field, it is difficult to protect the personal credit of citizens. Compare with China, some Western countries, such as the USA have achieved better results in the field of personal credit. Therefore, through drawing lessons from overseas successful experiences, and connecting with Chinese real conditions, this paper tries to propose a sound personal credit system by applying the principle of "minimum necessary", clarifying the boundary between personal privacy and credit information collection, and establishing and improving the remedial and supervisory system of the personal credit system.
The Impact of Social Media Crisis on Business: BMW Ice Cream Incident as an Example
Authors: Tang Yemin
Published: November 2023

On 20 April 2023, BMW was accused of suspected anti-Chinese discrimination at Shanghai international Automobile Industry Exhibition show, mainly because the staff at BMW booth appeared to have deliberately ignored requests from Chinese people to receive free ice-cream. The aim of this paper is to investigate the effect of social media crisis on the business, by taking this BMW ice cream incident as an example. The main research methodology in this article is to use ARIMA model to predict the trend of the BMW share price excluding the effect of this incident based on stock return analysis and then compare it to the real data. The findings from this research provide evidence that predicted stock price are close to the real one, which shows that the possible short-term negative impact of BMWs reputation may appear as a result of this incident, but due to BMWs quality and product status, the negative performance will still not exist for a long-term. The main conclusion drawn from this study is social media scandal may not have lasting impact on business. Different from previous literature, this study contributes on the ARIMA analysis on the certain companys data to derive the relationship between the stock price and the social media crisis. Recommendations include: Improving social media regulation for policy makers; Establishing dedicated teams for dealing with social media information; Changing investment strategy cautiously based on social media messages.
Blockchain Technology Mitigates the Role of Information Asymmetry -- Take P2P Online Lending Platforms as an Example
Authors: Guan Danni
Published: November 2023

With the rise of online finance, P2P online lending platforms based on new lending methods have ushered in an era of rapid development, attracting the attention and research of scholars. This paper uses platform data comes from the home of online loans, the National Bureau of Statistics of the People's Republic of China, and the Wind database, and takes P2P online loan platform as an example to study its impact on information asymmetry. Empirical analysis shows that P2P online lending can alleviate information asymmetry and improve information transparency, and the robustness test verifies the results of benchmark regression. Finally, this article also makes some specific recommendations for enhancing the P2P online loan platform based on the findings of the investigation such as the use of blockchain technology to establish a regulatory system and improve information transparency.
Research on the Future Development Trends of New Energy Vehicles in China
Authors: Wang Xinyi
Published: November 2023

With China's economy expanding quickly, the extreme increase in demand for automobiles, and the rapid rise of the automobile industry, one of the world's biggest marketplaces for automobiles is now China. However, because the energy used in traditional cars is petroleum-based traditional energy, environmental pollution problems such as the greenhouse effect and global warming have also emerged. In order to protect the "Lucid waters and lush mountains", a sustainable development strategy is proposed by the country. New energy vehicles can lessen China's reliance on conventional energy sources that are dependent on petroleum under this plan. This paper analyzes the future development trend of new energy vehicles in China and its reasons from the perspective of risk management. At the national level, the price risk, country risk, and risk cost of oil are analyzed, and it is concluded that the country will introduce more relevant policies to encourage the creation of new energy vehicles. At the enterprise level, the study of price risk and enterprise income risk clarifies the reasons for enterprises to invest in the manufacture and sales of new energy vehicles. At the individual level, the analysis of environmental risk, income risk, and loss control cost reveals the reasons individuals buy new energy vehicles. The analysis of the above three levels leads to the conclusion that China's energy vehicles are able to develop rapidly in the future.
Machine Learning and Event Study to Explore the Influence of ChatGPT on Microsoft Stock
Authors: Lai Rongshen
Published: November 2023

In light of the increasingly vital role of Artificial Intelligence (AI) has played in this era, it is imperative to conduct a comprehensive examination of the exact impact of specific event associated with AI on advanced corporations, economies and even countries. This study focuses on analyzing the recent event involving the connection of ChatGPT to Microsoft. To be more specific, this paper employed 3 machine learning models and one Stata model event study to respectively identify the best fitted model and its precise impact. In this work, 3 machine learning have been used, namely Support Vector Regression (SVR), K-Nearest Neighbor categorization algorithm (KNN) and Random Forest, to spot the model that fits the Microsoft stock the best. Initially, data was collected from Yahoo Finance, which is set and indexed in advance. Subsequently, data is individually put to train the 3 models. Ultimately, Mean Square Error (MSE), Root Mean Squared Error (RMSE) and R squared score are calculated with care and compared to obtain the results. Additionally, after collecting the data, a sensible window of event study has been set. Experimental results demonstrated that Random Forest performs the best among the 3 models and the specific event of ChatGPT connecting to Microsoft has a limited effect on the firms stock price.
The Influence of Capital Market Openness on the Sentiment of Chinese Investors
Authors: Yan Shu
Published: November 2023

In recent years, China has been gradually and progressively promoting the opening of its capital markets to the outside world. In this study, a questionnaire survey and SEM (Structural Equation Modeling) model analysis were used to investigate the mechanisms and outcomes of capital market openness on Chinese investor sentiment based on the Land-Hong Kong Link Policy.The study reveals that following the opening of the capital markets, individual investor sentiment tends to become more rational due to factors such as changes in investor structure and shifts in value investment concepts. In the future, it is recommended that China's capital markets promote basic investment education and enhance the development of financial regulations to progress towards a deeper level of openness.
Enhancing Customer Satisfaction in the Airline Industry: A Case Study of Delta Airlines
Authors: Ma Xinhe
Published: November 2023

Customer satisfaction plays an increasingly important role as it drives customer loyalty, fosters positive brand image, and provides a competitive advantage. Airlines that prioritize customer satisfaction are better positioned to thrive in a highly competitive market, attract and retain customers, and achieve long-term success. This paper focuses on enhancing customer satisfaction in the airline industry, with a specific case study of Delta Airlines. The study utilizes sentiment analysis techniques to analyze customer reviews from Skytrax and conducts a comprehensive SWOT analysis. Based on the analysis, targeted suggestions are provided to Delta, including leveraging technology to reduce the negative impact of delays, establishing uniform service standards, broadening global networks and partnerships, committing to sustainability and ESG initiatives, and ensuring quick responses to policy changes. However, the study acknowledges limitations such as reliance on a single data platform, the subjective nature of sentiment analysis, and the oversimplification inherent in SWOT analysis.In all, this study helps Delta to improve its customer satisfaction and contributes an research example to explore customer satisfaction in the airline industry.
An Empirical Research on the Impact of Gasoline Taxes on Consumer-Level Retail Prices
Authors: Sun Jiaming
Published: November 2023

This paper uses provincial-level gasoline retail price data in Canada to study the effect of tax reform on gasoline retail prices. It uses a dynamic difference-in-difference strategy to estimate the dynamic treatment effect of tax reform to see the dynamic changes of treatment effect in post-reform periods. We find that on average, the tax cut tends to be close to or around the full passthrough rate to the gasoline retail price. The treatment effect does not diminish over time and it is immediate after the tax reform. This means that the gasoline tax cut goes directly to consumers, it will work as a great macroeconomic tool in fighting the current inflation. The implications of effective gasoline taxation policy allow governments to adjust the gasoline taxation when needed to fight off inflation knowing that almost full taxation changes would pass down to the retail level. We conducted an additional robustness check to the robustness of our results.
Stock Analysis of Apple, Google, and Meta Using Time-Series
Authors: Cao Xinyi
Published: November 2023

This research examines the patterns and forecasts future stock prices of three prominent tech companiesApple, Google (Alphabet), and Metausing two widely used time series analysis methods: ARIMA (AutoRegressive Integrated Moving Average) and ETS (Exponential Smoothing). The study explores the potential impact of layoffs on the stock prices of these companies, addressing inquiries into cyclical or seasonal autocorrelation in stock price movements. By leveraging historical stock price data and applying ARIMA and ETS models, this research uncovers trends and develops robust forecasting models. The investigation holds significance for investors, market analysts, and company stakeholders, providing valuable insights into how workforce restructuring and organizational changes may influence stock market performance. The findings suggest that although the three technology companies experienced a decline in stock prices coinciding with an increase in layoffs, the forecasts generated by the ETS model indicate a potential stabilization or even an increase in stock prices in the future. These insights equip decision-makers with valuable information for assessing potential trends and making informed decisions regarding investments and workforce management strategies.
A Study on Collaborative Governance of Tourism Default ---- Analysis Based on Three-way Deductive Evolutionary Game Theory
Authors: Gao Jie
Published: November 2023

With the opening up of the domestic epidemic and the tourism heatwave, hotel default behaviors have emerged one after another. With the increasing exposure of default issues, the contradictions between tourists and businesses, tourists and the government, and government and businesses have become increasingly prominent, and have once become the focus of social attention. This article fully considers the regulation and supply-demand relationship of stakeholders in the tourism industry in environmental regulations and constructs a tripartite evolutionary game model between the government, businesses, and tourists. It analyzes the strategic evolution paths of each participant and the factors that affect their evolution. The research results indicate that the enthusiasm of government regulation is a key factor in solving the problem of default, and the fluctuations in its behavioral strategies simultaneously affect the behavior of tourists and businesses; Consumer rights protection is another key factor in promoting compliance behavior among businesses; The probability of merchants choosing compliant behavior reaches its maximum when the government and tourists work together; In the process of collaborative governance, the government can effectively suppress the motivation of merchants to adopt default pricing by adopting active regulatory measures such as increasing the amount of punishment and compensation. However, more importantly, it can improve consumers' willingness to protect their rights by reducing the cost of tourists' rights protection and establishing appropriate reward systems, making up for the lack of government regulation.
Analysis of the Effectiveness of Alpha Strategy for Optimized Multi-Factor Models
Authors: Lu Guanzhen
Published: November 2023

The emergence of ChatGPT signifies the advent of a new artificial intelligence revolution. Generative AI technologies, represented by ChatGPT, will profoundly afferct the research paradigm in finance and the systemic ecosystem of the financial industry. This study primarily focuses on the stocks within the ChatGPT concept sector of China's A-share market and investigates the effectiveness of a multi-factor Alpha stock selection strategy in this sector. Firstly, the research optimizes the Fama-French three-factor model and establishes a four-factor model. Using this optimized four-factor model, stock selection is performed within the ChatGPT concept sector, resulting in the formation of an investment portfolio. Based on backtesting, the strategy is found to be highly effective, though it requires a certain level of risk tolerance from investors. These results represent a proactive attempt to apply the Alpha strategy to the ChatGPT concept sector of China's A-share market, providing a preliminary examination of its performance characteristics and offering valuable insights for further research by subsequent scholars.
Virtual Human Influencer and Its Impact on Consumer Purchase Intention
Authors: Shi Weilan
Published: November 2023

Due to the extensive usage of online influencers by marketers, "influencer marketing", a form of which a business recruits and financially compensates social media influencers to spread stories about its product among their thousands of followers, is rising in popularity [1]. Among all kinds of influencer, virtual influencers are digital creatures who naturally love digital products like NFTs and video game skins, making them better spokespeople for metaverse themes. In response to customer demand, the number of effective and active virtual influencers is growing. There are 58 percent of US customers surveyed in March 2022 were already following a virtual influencer. The question in this study is whether customers bought products after virtual influencer recommended. In another word, virtual influencer contact may affect consumers' buying intentions. This study tends to present that in offline and online purchasing contests, virtual influencers improve customer buying intention. According to the finding of this study, the presence of a virtual influencer increases the consumer's propensity to make a purchase once this consumer has been exposed to the presence of the influencer.
Motivation and Performance of Backdoor Listing: A Case Study of Shunfeng
Authors: Hu Jingtong
Published: November 2023

With the arrival of the new normal of economic development, the growth rate of business volume in the express delivery industry has been gradually slowing down since 2015, while the emergence and development of the e-commerce industry will have an impact on traditional express delivery enterprises. Through the survey method, comparative method and literature method, this paper selects the case of the backdoor listing of SF, and through the analysis of the internal and external motivations of the backdoor listing, the performance analysis using the consolidated financial performance method, as well as the analysis for its listing risks, it can provide reference and reference for the future listing of enterprises. The results of this paper indicate that most of the courier industry chooses to go public by backdoor listing in order to broaden their financing channels, and that backdoor listing can improve corporate performance to a certain extent. In addition, this paper can provide an evaluation method and reference experience for other enterprises to list in shells, and provide reference ideas for potential shell companies whether to give up shell resources. It also provides regulatory suggestions for the formulation of relevant policies in China.
Analysis of AESOPs Marketing Strategies
Authors: Li Zining
Published: November 2023

The cosmetics business is a multibillion-dollar behemoth that is frequently propelled by dynamic trends and well-executed marketing campaigns. While many shops have embraced this tactic to raise brand recognition, Aesop demonstrates that there are alternatives. This study was written to examine Aesop's marketing strategy and the methodology used was a literature search. The result of the study was that Aesop's use of good 4p marketing has contributed to the development and innovation of its merchandise, thus increasing the brand's competitiveness and presentation. Aesop's approach to skincare has been legendary, with the company built on timeless simplicity and breaking through the noise with its distinctive visual identity. Aesop mainly uses word-of-mouth marketing, and over-the-counter sales are their main strength. This study suggests Aesop use a pricing strategy that is more acceptable to customers. It is suggested that Aesop introduce new products which are more suitable to the market demand. It is recommended that ISO adopt a multi-channel marketing strategy and build a loyal customer base.
The Effects of Interest Rate Liberalization on Small and Medium Enterprises
Authors: Zhang Jinyuan
Published: November 2023

The financing difficulties faced by small and medium enterprises (SMEs) are major problems hindering the development of the Chinese economy. These challenges not only impede the growth potential of SMEs but also limit innovation and job creation, posing a significant hurdle to overall economic progress in China. This article first presents the financing difficulties of SMEs and examines the reasons causing these difficulties. Then, this article briefly introduces the interest rate liberalization reform in China. After that, this article discusses three effects of interest rate liberalization on SMEs. The first effect is the reduction of the financing cost; the second effect is the increase of accessibility of loans; and the last effect is the transfer of credit resources from large and state companies to SMEs. Then, suggestions on how to tackle the financing difficulties are provided from the perspective of SMEs, financial institutions, and authorities respectively. Lastly, this article concludes that interest rate liberalization reform is conducive in helping enterprises and economic recovery.
The Significant Consequence of Feds Monetary Policy: Saving, Investment and Exchange Rate
Authors: Wei Shuming
Published: November 2023

This article provides a comprehensive overview of interest rate hikes, focusing on the reasons behind such decisions, the magnitude and frequency of rate adjustments, and the policy objectives driving central banks' actions. Interest rate hikes are implemented to control inflation, manage economic overheating, and stabilize currency and capital flows. The magnitude and frequency of rate adjustments are determined by the central bank's assessment of economic conditions, with larger adjustments made for significant impacts and smaller adjustments for fine-tuning purposes. Policy objectives include price stability and sustainable economic growth. This analysis sheds light on the background and rationale behind interest rate hikes, highlighting their importance in shaping monetary policy and influencing economic conditions. This paper discovers that higher interest rates incentivize individuals to save more, leading to increased returns on savings. However, it also highlights the shift towards fixed-income securities and its potential impact on the stock market, as investors seek stable returns.
Development and Prospects of China's Renewable Energy Export Trade under the Belt and Road Policy
Authors: Kou Bing , Ma Yuhan , Wu Shuo
Published: November 2023

Under the trend of economic globalization, the cost of renewable energy development has been decreasing globally, and renewable energy development has become the focus. But since 2018 the trade war between China and the United States has been escalating, and China's renewable energy development has been hindered by the United States because China's core technology is still not fully mastered. How to deal with related issues is crucial for China's development. The article uses literature analysis to analyze the impact of the US-China trade war and China's own overcapacity problem on China's renewable energy development, and to provide countermeasures to address the corresponding problems. This paper argues that the sustainable development of China's renewable energy industry faces three basic problems, which are restricted by the trade barriers of the US-China trade war, the lack of some core technologies, and the potential overcapacity problem in the future. In order to achieve sustainable development of renewable energy in China, it is suggested seizing the opportunity of the Belt and Road policy development with energy cooperation as the key area of development. By analyzing the various factors affecting the development of China's renewable energy industry, and by giving suggestions and countermeasures, this paper hopes to give a comprehensive understanding of the development history and prospects of the renewable energy industry in China and provide reliable suggestions for the development of related industries in China.
Case Study Based on Pang Donglai Trading Group
Authors: Hu Zhuoxi
Published: November 2023

Pang donglai Business Group is a regional retail enterprise. The main purpose of this article is to analyze the situation of the Pang donglai Business Group in the local market, find the main reasons why the group cannot expand, analyze the group's disadvantages and provide solutions. Propose specific strategic management strategies for the development of the group to help the group achieve better development, and also provide solutions and reference examples for local enterprises that encounter similar situations or have corresponding problems. By researching and comparing the strategies of other retail companies, and analyzing Pang donglai's corporate values, the authors point out that regional retail enterprises need to have clear goals and positioning to target corresponding customer groups in the current market environment to compete with foreign and large domestic chain retail groups. Combined with the local business environment, strengthen trade relations with farmers, abandon customer groups in first-tier cities, and develop markets in rural areas.
Development of the Petroleum Trading System and Countermeasures under the Trade Friction Between China and the US
Authors: Tang Yimin , Yu Yue
Published: November 2023

Since 2018, the trade relationship between China and the United States has gradually become tense. Under these circumstances, China has been impacted from many aspects. As one of the world's largest importers of crude oil, the impact of Sino-US trade friction on Chinas oil trade cannot be ignored. This thesis discusses the impact of Sino-US trade friction on China's oil trade system and analyzes the impact on oil trade after the outbreak of the Sino-US trade war, as well as the dilemma and countermeasure analysis brought by the trade war. This thesis begins with the background and causes of the trade friction between China and the United States. Through overviewing the development of China's petroleum trade system, this paper explores the impact of the U.S.-China trade friction on China's oil trading system, the dilemmas posed by the trade war, and proposes countermeasures. These experiences and suggestions have certain guiding significance for promoting the reform and development of China's oil trade system.
Portfolio Optimization Based on Deep Learning and Factor Constraints
Authors: Piao Jinze
Published: November 2023

Portfolio construction can help investors achieve a balance between risks and returns, and rationally allocate funds to maximize returns. This paper combines four deep learning models LSTM, GRU, CRNN, TCN with investment portfolio strategies Mean-Variance, Mean-CVaR, selects stock data from different industries in the US stock market to construct portfolios, and these strategies are tested in both bull and bear market environment. Comparative analysis of cumulative returns reveals that in the bull market, the cumulative return of TCN+MV and GRU+MV is the highest. In the bear market, the cumulative returns of portfolios using the four deep learning algorithms combined with MV are similar and overall outperform those combined with MC. Furthermore, based on the deep learning algorithm and MV model, this paper selects multiple factors for scoring, and uses factor scores as constraints to the process of portfolio optimization, and the cumulative return has been significantly improved. The method in this paper can provide a theoretical reference for investors to construct investment portfolios and weigh risks and benefits according to individual needs.
Time Series Analysis of Climate Change & Its Relationship with Stock Price
Authors: Xiao Jiayi
Published: November 2023

Climate change has recently become a critical global concern, and its potential impact on financial markets has attracted significant attention. The study investigates the relationship between rising temperatures and the S&P 500 index, aiming to understand the implications of temperature changes on stock market performance. This research applies the Autoregressive Integrated Moving Average (ARIMA) model to analyze the relationship, using the linear and dynamic regression models to forecast the S&P 500 according to the ARIMA-fitted values of temperature change in the future. The findings from the dynamic regression model indicate that the rising temperature positively impacts the S&P 500, while the linear regression models show no correlation between these two. The study's findings support investors and policymakers in gaining a more comprehensive insight into the relationship and applying it to business practices. Furthermore, the study offers guidance to develop risk mitigation strategies within the financial sector.
Forecasting USA Unemployment Rate Base on ARIMA Model
Authors: Zhang Dihan
Published: November 2023

This paper presents a detailed analysis of unemployment rate forecasting, a critical subject for various stakeholders including policymakers, businesses, and individuals. Amid significant economic events such as the global financial crisis and COVID-19 pandemic, the need for precise unemployment forecasts has become crucial. The research utilizes an Autoregressive Integrated Moving Average (ARIMA) model to analyze US unemployment rate data from 2000 to 2023, sourced from the Federal Reserve Economic Data (FRED). The paper identifies seasonality patterns, executes appropriate data transformations, and incorporates the Box-Jenkins methodology for ARIMA model identification. The findings reveal the model's resilience, demonstrating accurate forecasts despite significant disruptions. These insights offer valuable contributions in understanding labor market dynamics, facilitating informed decision-making and strategic planning. The paper highlights the robustness of ARIMA models, and their potential to adapt to rapid changes in the economic landscape, thereby proving invaluable in forecasting unemployment rates.
Exploring the Economic Significance of Arctic Routes in the Supply Chain Field by Contrasting with Traditional Route
Authors: Yiyun Zhang
Published: November 2023

With global climate warming, the reduction of Arctic ice and the opening of shipping routes during the summer season, the Arctic route has gradually become an important choice in the field of supply chains as it connects Asia, Europe, and North America. It offers the advantages of reducing shipping time, lowering transportation costs, expanding trade opportunities, and diversifying supply chain routes. This article collected data from websites such as the Clarksons and the Shanghai Shipping Exchange to investigate the current number of voyages along the Arctic route and various factors that impact the cost of navigation. By comparing the navigation costs between the Arctic route and the traditional Suez Canal route, it was found that the Arctic region has higher voyage transportation costs compared to the Suez route, indicating that the Suez route still holds an economic advantage. However, choosing the Arctic route can shorten the delivery lead time and reduce certain supply chain costs.
From Rise to Fall: A Study of Nokia's Strategic Partnerships and Market Positioning
Authors: Miao Xinyi , Wu Yubin , Yang Zhiqi
Published: November 2023

In this article, through the rise and fall of Nokia in the mobile phone industry, the strategies and decisions that companies need to pay attention to in different details are analyzed, covering the mid-to-late stage of the mobile phone industry, including major trends, major players and the overall operation of Nokia background. This case study discusses about Nokia's strategic partners, pointing out that Microsoft and Intel failed to cooperate and missed the best time to use Android system. Furthermore, it investigates Nokia's market positioning, initially as a reliable, innovative brand, but later proved that is ineffective in the face of changing consumer expectations and technology evolution. The final part of this article is some suggestions from this experience. Suggestions for Nokia's resurgence include streamlining product portfolio, revisiting market positioning, enhancing supply chain flexibility, optimizing cost structure, embracing technological advancements, and enhancing marketing and branding efforts. This comprehensive review provides valuable insights into the mobile phone industry and the strategic decisions influencing a company's trajectory.
Application of Momentum Strategy to S&P 500: A Five-Year Retrospective Analysis
Authors: Jiang Yuxiang
Published: November 2023

Momentum strategy, a popular approach since the 1990s, has seen various successful iterations over the years. However, with the market environment evolving considerably in recent times, this study seeks to explore the efficacy of a specific momentum strategy on the S&P 500 in the past five years. The hypothesis centers on the correlation between returns and the moving average, serving as a momentum indicator. A simple linear model relating the two is trained using historical data, and the subsequent strategy is formed based on the model's parameters. Different lookback periods are considered, leading to an evaluation of diverse strategies. Despite the strategy's simplicity, findings suggest that it might struggle to thrive in real market conditions. There are some strategies that beat the benchmark under ideal conditions, but all of them loss when the transection fees are taken into account. The analysis uncovers situations where momentum strategies can indeed be effective. This underlines the potential for further research and the development of a more sophisticated, precise strategy that mirrors real market dynamics with greater accuracy.