bluuebunny/crossref_metadata_2025 huggingface dataset:
Fitossociologia de plantas daninhas em cultivo de feijão-comum BRS Ártico em diferentes densidades de semeadura
Authors: Silva Marina Borges de Oliveira , Carvalho Abner José de , Aspiazú Ignácio , Ferreira Evander Alves , Bernardino Dayana Lúcia Mota Pinheiro , Barbosa José Almir Esposo , Oliveira Simônica Maria de , Barbosa Edmilson da Silva
Published: June 2024

O objetivo deste trabalho foi caracterizar a fitossociologia de plantas daninhas em cultivo de feijão-comum da cultivar BRS Ártico, em função de densidades de semeadura, no semiárido mineiro. O experimento foi conduzido na Fazenda Experimental da Universidade Estadual de Montes Claros, UNIMONTES, em Janaúba, MG, nas safras de outono-inverno de 2016 e 2017. Os tratamentos consistiram em quatro densidades de semeadura (50, 100, 200 e 500 mil sementes ha-1). A coleta das plantas daninhas foi realizada por ocasião da colheita do feijão, coletando-se o sistema radicular e a parte aérea completa, pelo método do quadrado inventário (0,5 m x 0,5 m), lançado uma vez em cada parcela. As plantas daninhas coletadas foram identificadas por família, gênero e espécie, e logo após levadas à estufa de circulação forçada de ar a 65 °C até massa constante, para posterior pesagem da massa seca. Em cada parcela experimental foi determinado o número de indivíduos por espécie de planta daninha e o número total por coleta para posterior determinação das seguintes variáveis fitossociológicas: frequência relativa, densidade relativa, abundância relativa, dominância relativa, índice de valor de importância e índice de valor de cobertura. As médias dos dados obtidos foram estudadas por análise descritiva. Na maioria das condições estudadas as espécies dicotiledôneas predominaram, especialmente nas maiores densidades de semeadura. Houve predomínio das famílias Poaceae, Asteraceae e Fabaceae. De maneira geral, os maiores valores do índice de valor de importância e índice de valor de cobertura foram obtidos pelas espécies Sena obtusifolia, Eleusine indica, Dactyloctenium aegyptium.
Exome sequencing reveals a novel LEPR homozygous mutation in severe early-onset morbid obesity two sisters from a consanguineous family
Authors: Pinto Renata Machado , Silva Lorena de Oliveira , Fukushima Lorraine Vieira Cruz , Moreira Vanessa Santos , Souza Cristiane Simões Bento de , Pinto Irene Plaza , Rodovalho Ricardo Goulart
Published: June 2024

Obesity is a severe global public health problem with an increasing prevalence in the pediatric population in recent years. Genetic components are crucial for understanding this pathology. Therefore, in this report, two patients underwent exome sequencing to analyze genetic patterns of early-onset obesity without intellectual deficits, dysmorphisms, or malformations and to investigate the hypothesis of monogenic obesity. The study was approved by the Research Ethics Committee (CEP) of HCUFG/GO and Hospital das Clínicas UFG/EBSERH (CAAE 74995023200005083). MEGS and AVGS, second and third daughters of an offspring of 3, aged 5 and 7 years old, have severe obesity that began during the exclusive breastfeeding phase, reaching a BMI of 38.3 (z/score: 7.82) and 41.5 (z/score: 8.86). The sisters presented with hyperphagia, high abdominal circumference, acanthosis nigricans, arterial hypertension, dyslipidemia, high insulin levels, and HOMA-IR. The exome revealed a homozygous mutation in the leptin receptor (LEPR) gene. The variant NM_002303.5:c.1603+3A>G was identified in a homozygous state in the splicing region (strand+, exon 11) of the LEPR gene. This gene is considered loss-of-function intolerant (pLI: 0.99). The variant severity was expected to be harmful, affecting splicing; however, it has not yet been reported in the public GnomAD and ExAC databases. This new variant leads to leptin resistance, hyperphagia, and early onset of obesity. Thus, our findings confirm the monogenic obesity diagnosis and support a better understanding of early-onset obesity. The new mutation found can also guide the designing of new therapeutic approaches to treat obesity and improve patient prognosis.
Assessing the impact of concurrent high-fructose and high-saturated fat diets on pediatric metabolic syndrome: A review
Authors: Vargas-Vargas Manuel Alejandro , González-Montoya Marcela , Torres-Isidro Olin , García-Berumen Claudia Isabel , Ortiz-Avila Omar , Calderón-Cortés Elizabeth , Cortés-Rojo Christian
Published: June 2024

High-saturated fat (HF) or high-fructose (HFr) consumption in children predispose them to metabolic syndrome (MetS). In rodent models of MetS, diets containing individually HF or HFr lead to a variable degree of MetS. Nevertheless, simultaneous intake of HF plus HFr have synergistic effects, worsening MetS outcomes. In children, the effects of HF or HFr intake usually have been addressed individually. Therefore, we have reviewed the outcomes of HF or HFr diets in children, and we compare them with the effects reported in rodents. In humans, HFr intake causes increased lipogenesis, hypertriglyceridemia, obesity and insulin resistance. On the other hand, HF diets promote low grade-inflammation, obesity, insulin resistance. Despite the deleterious effects of simultaneous HF plus HFr intake on MetS development in rodents, there is little information about the combined effects of HF plus HFr intake in children. The aim of this review is to warn about this issue, as individually addressing the effects produced by HF or HFr may underestimate the severity of the outcomes of Western diet intake in the pediatric population. We consider that this is an alarming issue that needs to be assessed, as the simultaneous intake of HF plus HFr is common on fast food menus.
Diagnostic significance of complete blood cell count and hemogram-derived markers for neonatal sepsis at Southwest Public Hospitals, Ethiopia
Authors: Regassa Dereje Abebe , Nagaash Rahel Shumi , Habtu Bisirat Fikadu , Haile Woyesa Beyene
Published: June 2024

BACKGROUND

Neonatal sepsis is defined as an infection-related condition characterized by signs and symptoms of bacteremia within the first month of life. It is the leading cause of mortality and morbidity among newborns. While several studies have been conducted in other parts of world to assess the usefulness of complete blood count parameters and hemogram-derived markers as early screening tools for neonatal sepsis, the associations between sepsis and its complications with these blood parameters are still being investigated in our setting and are not yet part of routine practice.

AIM

To evaluate the diagnostic significance of complete blood cell count hemogram-derived novel markers for neonatal sepsis among neonates attending public hospitals in the southwest region of Oromia, Ethiopia, through a case control study.

METHODS

A case control study was conducted from October 2021 to October 2023 Sociodemographic, clinical history, and laboratory test results data were collected using structured questionnaires. The collected data were entered into Epi-data 3.1 version and exported to SPSS-25 for analysis. Chi-square, independent sample t -test, and receiver operator characteristics curve of curve were used for analysis. A P -value of less than 0.05 was considered statistically significant.

RESULTS

In this study, significant increases were observed in the following values in the case group compared to the control group: In white blood cell (WBC) count, neutrophils, monocyte, mean platelet volume (MPV), neutrophils to lymphocyte ratio, monocyte to lymphocyte ratio (MLR), red blood cell width to platelet count ratio (RPR), red blood width coefficient variation, MPV to RPR, and platelet to lymphocyte ratio. Regarding MLR, a cut-off value of ≥ 0.26 was found, with a sensitivity of 68%, a specificity of 95%, a positive predictive value (PPV) of 93.2%, and a negative predictive value (NPV) of 74.8%. The area under the curve (AUC) was 0.828 (P < 0.001). For WBC, a cut-off value of ≥ 11.42 was identified, with a sensitivity of 55%, a specificity of 89%, a PPV of 83.3%, and a NPV of 66.4%. The AUC was 0.81 (P < 0.001). Neutrophils had a sensitivity of 67%, a specificity of 81%, a PPV of 77.9%, and a NPV of 71.1%. The AUC was 0.801, with a cut-off value of ≥ 6.76 (P = 0.001). These results indicate that they were excellent predictors of neonatal sepsis diagnosis.

CONCLUSION

The findings of our study suggest that certain hematological parameters and hemogram-derived markers may have a potential role in the diagnosis of neonatal sepsis.
Innovation in Startup for Sustainability : Study in Jakarta
Authors: Indrajaya Sonny , Kurniawan Deden , Setyaningrum Retno Purwani
Published: June 2024

Business actors start intense competition and make more effective market penetration breakthroughs in order to survive. It is important to optimize the marketing system of startup companies. Competition between the world of business and industry in the 19th pandemic era became interesting because of the rapid development of startup businesses in Jakarta. Innovation and social media that can increase business sustainability. The research was conducted for 6 months. The sample was 50 startup companies and taken via Google or online in Jakarta. The analysis tool uses Wrap PLS. This research aims to provide an overview of innovation and social media to support the sustainability of startup businesses. In this research, the influence of innovation and social media on business continuity and startup companies can be seen.
Determinants Of Satisfaction Of Micro And Small Entrepreneurs In Bandung
Authors: Iskamto Dedi , Murti Galuh Tresna , Indrajaya Danang
Published: June 2024

This research aims to determine the factors that influence the welfare of MSME (Micro, Small and Medium Enterprises) entrepreneurs in the city of Bandung. Entrepreneurs play a big role in improving the economy of developing countries, such as Indonesia. The research methodology used is a qualitative method where as with literature study, this paper is conceptual papers. Entrepreneurs is an important factor in the entrepreneurial process. Entrepreneurs who are prosperous tend to continue their business, whereas entrepreneurs who are not prosperous will abandon their business. This research will provide entrepreneurs and business owners with a better understanding of the factors that significantly influence performance and their impact on the welfare of entrepreneurs, as well as input to the government regarding the support needed by entrepreneurs in improving business performance and welfare of entrepreneurs.
FREQUENCY OF PORT SITE INFECTION IN PATIENTS UNDERGOING LAPAROSCOPIC CHOLECYSTECTOMY
Authors: FARIS S , SAFI MH
Published: June 2024

Laparoscopic cholecystectomy is a common surgical procedure for the treatment of gallstones. Although considered minimally invasive, port site infections (PSI) remain a concern, potentially impacting patient outcomes and recovery times. Understanding the frequency and risk factors associated with PSI is essential for improving surgical practices and patient safety. Objective: To assess the frequency of port site infection in patients undergoing laparoscopic cholecystectomy. Methods: A cross-sectional study was conducted in the surgery department from January 2, 2024, to April 2, 2024. The study enrolled 120 patients presenting for laparoscopic cholecystectomy. The mean age of the patients was 34.30 ± 9.57 years, and the mean BMI was 25.32 ± 2.21 kg/m². The frequency of PSI was determined, and its association with BMI was analysed using statistical methods, with a significance level set at P < 0.05. Results: The PSI frequency was 6.7% (8 out of 120 patients). There was a notable association between increasing BMI and the occurrence of PSI (P = 0.005). Conclusion: The frequency of PSI in patients undergoing laparoscopic cholecystectomy in this study was 6.7%, suggesting that the procedure is relatively safe for gallbladder removal. Higher BMI was significantly associated with an increased risk of PSI, indicating the need for targeted strategies to mitigate this risk in patients with elevated BMI.
BAIC BJEV Back-Door Listing Motivation and Performance Analysis
Authors: Wu Zhiyong , Zhang Bairui
Published: June 2024

This thesis will focus on the study of BAIC BJEV Back-Door Listing Motivation and Performance Analysis. Through reading the relevant literature, this paper understands the basic model. This thesis adopts the case study method, aiming to reveal the reasons and internal logic behind the back-door listing of BAIC New Energy. Including but not limited to market demand, consumer expectations, financial situation, etc., in order to understand the strategic choice of the enterprise more deeply. In addition, this thesis adopts the graphical method and indicator analysis to quantitatively evaluate BAIC New Energy Co., Ltd. after the back-door listing, and analyzes the effectiveness of the back-door listing method for BAIC New Energy Co. by comparing the past financial status, key business indicators and other factors, and then deduces the good and bad impacts of the back-door listing on the enterprise, which will provide lessons learned and feasibility analyses for the similar decision-making.
The Analysis of Tencent's Mainstream Social Products - Take WeChat and QQ as Examples
Authors: Sun Qisi
Published: June 2024

While WeChat is one of the top instant messaging software in China in terms of daily active user and active user, Tencents other messaging program, QQ was fading into obscurity. However, Tencent still retains the normal operation of QQ, even though it is not as welcomed as it was first launched. Therefore, this paper analyzes the operation of QQ through functions, user groups, positive competition and revenue generating. In addition, it provides explanations of Tencents product management (seven principles for product creation) and innovation strategies (imitative strategy, collaborative innovation, independent innovation, and diversification) by literature review and theoretical analysis. Tencents choice to retain QQ is related to the companys strategy, which can be reflected in two aspects: product management and innovation. In the process of development, companies need to retain the prior market and innovate by learning from the failures of the current base. In addition, the current users and products of the enterprise provide a wide range of market research basis, which is one of the enterprises resources and can provide enterprises with better product innovation and management of the platform.
Relationship Between NIO Inc. Indebtedness and Stock Price Volatility
Authors: Jiang Junyi
Published: June 2024

The burgeoning electric car market in China is revitalizing numerous enterprises, and the prospects for new energy vehicle companies are highly attractive. Debt is a substantial, non-negotiable expense that businesses utilize to fund their activities. Debt can facilitate the expansion of a corporation while simultaneously amplifying its dangers, which can occasionally escalate uncontrollably. Analyzing a company's debt is crucial in assessing its solvency and financial health. Using NIO as an example, this paper examines the company's stock price and liabilities, conducts a linear regression analysis, and evaluates the association. The analysis reveals a negative correlation between the stock price and liabilities. Effective risk management is essential for achieving corporate success, and debt represents a substantial expense in the course of conducting business. Gaining insight into the correlation between debt and share price can assist investors in assessing a company's financial soundness and investment risk. Elevated amounts of debt can lead to fluctuations in share prices, especially in bad circumstances. Consequently, organizations must diligently oversee obligations in order to maintain their financial well-being and promptly address any potential financial hazards.
Investigation into Enhancing the Motivation and Distribution System for Organ Donation in China
Authors: Yang Yufei
Published: June 2024

With the aging of the population and the improvement of organ transportation technology, the demand of organs such as kidney, cornea, liver, and heart are increasing dramatically. Until February 29, 2024, there are in total 51196 volunteers who have done their donation, 157204 organs have successfully transported to the patients in need. However, under the great increase in the demand of organ donation, the supply of organ is still way above the amount of demand. In China, only 0.05% of the population have registered of being a volunteer in organ donation. The great shortage becomes more significant after China banned the use of organs from executed prisoners as a source of organ donation since 2015. Under the circumstances of having shortage of organ donation, it becomes more important for a country to have clear incentive and allocation mechanisms in organ donation. In this essay, the result would be carried out through comparing the incentive mechanisms of organ donation in Spain, the USA and China, find out the advantages of mechanisms in Spain and the USA, the potential issues of organ donation system in China. As a result, find valid approaches for the improvements of Chinese organ donation system.
Comparative Analysis of Public Awareness of New Energy Vehicles- -Take the United States and China for Example
Authors: Zhao Fanhua
Published: June 2024

Electric vehicles are attracting increasing attention worldwide due to concerns about climate change and sustainability. However, global adoption of electric vehicles is still relatively low. This paper will investigate and analyze the public awareness of new energy vehicles in the United States and China, compare the differences in public awareness between the two countries, analyze the reasons for the differences, and suggest suggestions to improve public awareness of new energy vehicles. The study finds that, on the whole, the Chinese public's awareness of new energy vehicles is higher than that of the American public. The main reasons for the difference include the influence of cultural background and values, the role of media publicity and education, and the differences in policy and market environment. To improve public awareness of new energy vehicles, the United States needs to strengthen publicity and education, and improve policies and infrastructure, while China needs to increase media publicity, improve policy guidance, and improve product and service quality.
Globalization of Investment Banks Based on Comparative Case Studies: The Case of CITIC Securities and Goldman Sachs
Authors: Ma Mingjun
Published: June 2024

The need of efficient management systems for success is highlighted by the globalization of investment banking, which is being driven by market liberalization and technology improvements. Both Goldman Sachs and CITIC Securities make interesting case studies because they have different histories, approaches, and market positions that illustrate how the dynamics of the global financial system are changing. Investment banking globalization's dynamics, impacts, and strategies are explored through a comparative analysis of CITIC Securities and Goldman Sachs. This research employs qualitative methods, examining organizational structures, revenue sources, market presence, and management mechanisms by collecting market analysis, annual reports released by the two investment banks, and some pieces of literature on the topics researched. Findings reveal CITIC Securities' domestic focus and regulatory challenges contrasted with Goldman Sachs' global reach and operational flexibility. Strategic recommendations emphasize enhancing CITIC Securities' international presence and revenue diversification for sustained growth and competitiveness in the evolving financial landscape.
Cluster-Based Federated Learning for Automotive Customer Profile Analysis
Authors: Cui Qixuan
Published: June 2024

In the context of increasingly fierce competition in the automotive market, car dealerships are shifting from a "product-oriented" approach to a "customer-oriented" one. This paper establishes a customer profile tagging system based on car purchasing behaviors and customer attributes, and constructs a customer profile model through cluster analysis. However, traditional machine learning algorithms face limitations such as insufficient data, single sources, and incomplete tags. Additionally, data cannot be directly shared due to data security concerns. Therefore, this paper applies a FederatedKMeans algorithm, which combines federated learning and K-means clustering, to construct profiles. The superiority of this algorithm in terms of performance is demonstrated through empirical tests, and it is used for cluster analysis to categorize customers into different groups, providing corresponding marketing strategies.
Price Prediction of the Cryptocurrency from Niche Market Based on Random Forest, LSTM and XGBoost
Authors: Tian Shuchang
Published: June 2024

Cryptocurrency market has striking development and aims to build open, transparent and efficient financial market. More applications are tried to build on blockchain and using cryptocurrency in multiple scenarios, and DeFi ecosystem is set up. Many niche cryptocurrencies related to DeFi market may have wide utility and demand in the future. Therefore, more research is needed to focus these cryptocurrencies and try to establish sturdy price prediction. In this study, two cryptocurrencies, Binance Coin (BNB) and Huobi Tokens (HT), which are rooted in two crypto exchange platform are used for price prediction based on three machine learning models, i.e., Random Forest (RF), Long Short-Term Memory (LSTM) and Extreme Gradient Boosting (XGBoost). Four prediction windows are selected (1, 3, 7 and 30 days span). The results for different prediction window are compared and discussed. 1 day prediction window outperforms all prediction windows with the average MSE 0.0117. Additionally, RF and XGBoost outperform LSTM with lower MSE and more stable performance, while RF and XGBoost have average MSE 0.0157 and 0.0158 separately. The research tries to predict cryptocurrencies that based on relatively niche market and discuss the performance in comprehensive ways, aiming at providing novel insights into cryptocurrency price prediction.
Exploring Experience-Based Cultural Tourism under the Background of Rural Revitalization: A Case Study of Chengzi County Village in Jinan City, Shandong Province
Authors: Song Mengzhuo
Published: June 2024

The integration of culture and tourism promotes the realization of rural revitalization. In recent years, many examples in China have achieved rural revitalization by developing a new model that integrates agriculture with tourism, deeply exploring local cultural characteristics. This paper focuses on Chengzi County Village in Yangli Town, Laiwu District, Jinan City, Shandong Province, known as the "Millennial Ying City." Utilizing the SWOT model and conducting field surveys, this study comprehensively analyzes the future development of experience-based cultural tourism in Chengzi County Village. Recommendations are proposed for future development, including creating a "1+N" cluster of experience-based cultural tourism projects, incubating distinctive cultural tourism brands, leading with talent, and improving tourism infrastructure. The study concludes that the opportunities and strengths of developing experience-based cultural tourism in Chengzi County Village generally outweigh the threats and weaknesses.
Exploring Improvement of Business Performance of Transaction Processing System in Retail Sector
Authors: Xie Na
Published: June 2024

This paper delves into the strategic integration of Transaction Processing Systems (TPS) within the digital transformation initiatives of the retail sector, focusing on enhancing business performance through advanced business modelling, information system modelling, and leveraging data visualization for business intelligence. We examine strategic frameworks such as the Value Discipline Model and the Agile methodology to align TPS integration with business goals, emphasizing the importance of agility and continuous improvement. The impact of TPS on retail operations is quantitatively assessed through key performance indicators, revealing significant enhancements in transaction processing times, inventory management, and financial reporting accuracy. Challenges including legacy system integration, data security, and skill gaps are addressed through practical solutions like APIs, encryption methods, and comprehensive training programs. Furthermore, we explore the architectural design principles of TPS, emphasizing scalability, resilience, and adaptability, alongside effective data integration and management strategies that ensure data consistency and accessibility. Performance evaluation methodologies are also discussed, employing mathematical models for predicting system behavior and optimizing throughput, latency, and reliability. Case studies highlight the transformative power of data visualization tools in retail, showcasing their impact on operational efficiency and decision-making. This comprehensive analysis underscores the pivotal role of TPS in driving digital transformation in the retail industry, offering a roadmap for organizations aiming to enhance their competitive edge in the digital era.
Research on the Principles and Strategies of Sustainable Development of Energy Economy in the New Period
Authors: Lei Chaolin
Published: June 2024

As one of the hot issues of concern to the whole world, the energy issue has a significant impact on the sustainable development of the economy and environmental protection in the future. Energy is widely used in our daily lives, so its quite important for us to put effort into protecting unsustainable energy. At present, people's awareness of the sustainable development of the energy economy in the new period is blurry, and their cognition is not high, which leads to many problems in the development of the traditional energy economy. For example, the energy utilization rate is not high, and the degree of industrial completeness is not high. Based on the above, this paper will use the survey and analysis method to analyze China and discuss the future energy economy in depth in the following aspects from the feasibility, scientificity, and reasonability, in combination with the actual situation: feasibility, science, and reasonableness. It also deeply discusses the future of the of the energy economy. Not only does our government need to improve policies relative to sustainable energy, but we also need citizens to protect our environment.
Exploring Luxury Jewelry Futures: Opportunities, Challenges, and Market Dynamics
Authors: Li Yaner
Published: June 2024

The issuance of luxury jewelry futures has garnered attention due to investors seeking diversified investment options and higher returns. This study aims to explore the significance and purpose of issuing luxury jewelry futures. The study focuses on the impact of luxury jewelry futures issuance on investors and the market, addressing key opportunities and challenges. The main objectives include analyzing the effects on market liquidity, risk management, and market transparency. This study employs a literature review and analysis approach, integrating theoretical frameworks with empirical data to comprehensively evaluate the current status and future trends of luxury jewelry futures. Analysis of the luxury jewelry futures market reveals both opportunities and challenges. While luxury jewelry futures provide investors with new avenues for investment, they also face limitations such as liquidity constraints, pricing complexities, high market risks, and information asymmetry. Consequently, investors need to carefully assess market conditions and devise appropriate investment strategies to mitigate risks and achieve favorable returns.
The Impact of Payment Methods on Consumption Behavior
Authors: Pan Yuedi
Published: June 2024

The evolution of civilization has led to significant transformations in payment methods, which in turn have a subtle impact on consumer spending behaviour. The selection of payment methods by individuals can have a significant impact on their expenditure choices, financial management habits, and overall expenditure encounters. This paper uses literary methodologies to investigate the influence of various payment systems on consumer behaviour and the determinants that shape the selection of different payment methods. The problems discussed in this paper offer valuable insights for enterprises seeking to enhance the precision of their marketing tactics, as well as for people seeking to effectively manage their personal finances and make informed business decisions. By implementing promotions tailored to various payment methods, companies may effectively captivate consumers, boost sales, and foster customer loyalty. By examining this subject, the behavior patterns and consumption decision-making process of consumers can be better understood, and the psychological mechanisms and economic principles behind the choice of payment methods will be deeply explored. The nature and mechanism of this topic remain intricate and deserving of further investigation.
Critique on a Sugar Tax Policy
Authors: Dou Xiaowen
Published: June 2024

This article discusses the proposal and responses to sugar taxation, as well as techniques for reducing sugar-sweetened beverage (SSB) consumption. Leveraging the theory of changes, implementing a sugar tax is demonstrated to lower SSB consumption, particularly among low-income groups, so that improving public health. This interpretation is supported by evidence from Mexico, Chile, and the United Kingdom following the imposition of a sugar tax. This article also assesses unexpected outcomes in Berkeley and Mexico following the implementation of sugar taxes, providing insight into the efficacy of these policies. Future strategies to reducing the consumption of sugar have been proposed with a focus on the significance of public health measures other than taxation.
Analysis of Marketing Strategy of MIXUE Ice Cream & Tea Company Based on SWOT Model
Authors: Chen Shuqi
Published: June 2024

In recent years, the market for freshly made tea has boomed, attracting many emerging brands such as MIXUE Ice Cream & Tea (MIXUE). In the face of fierce competition and the challenge of homogeneous products, MIXUE needs to continuously optimize its marketing strategies to maintain its competitive advantages. This study takes MIXUE as the research object, adopts the SWOT model, aims to analyze the success of its marketing strategy, and puts forward optimization suggestions. Through the SWOT model analysis, the potential problems with the current marketing strategies of MIXUE are revealed. At present, the brand maintains a certain low-end market advantage in the freshly made tea market, but faces the disadvantages of fierce homogeneous competition and a relatively single market model. Its products are seriously homogeneous, food hygiene and safety problems are frequent, there is a lack of innovation in publicity methods, the low-price strategy affects the long-term profitability of the stores, and it lacks reasonable operation of its own online channels. These problems make MIXUE face development obstacles and risks. At the same time, this paper proposes improvement strategies in terms of enhancing innovation, strengthening food safety management, improving personnel management and after-sales service, optimizing cost performance, broadening price range, and increasing brand promotion channels, so as to enhance marketing power and competitiveness. It provides new ideas for improving its marketing power and competitiveness, and also has reference significance for the development of the entire tea industry.
The Comparison of Returns Between ETFs and Conventional Stocks
Authors: Tu Shenhao
Published: June 2024

In the contemporary financial environment, investors are faced with multiple investment options in a backdrop of global economic fluctuations and technological advancements. This paper compares the returns of Exchange-Traded Funds (ETFs) and traditional stocks to help people understand which investment can offer better returns for investors. ETFs are popular because of their unique features, including diversification, low cost, and low risk. However, whether to choose ETFs or traditional stocks depends on various factors, and this paper will analyze them from market performance and investor preferences. First, this paper defines ETFs and outlines their main features, then reviews their market performance and the factors that affect investor choices. Next, this paper uses common algorithms in the market to compare the returns of ETFs and traditional stocks, using data to prove our results. This essay finds that ETF returns are much lower than stock returns in the short term, but in most cases, long-term returns are greater than stock returns.
Research on the Relationship Between Equity Structure and Corporate Performance of Internet Industry Listed Companies
Authors: Guo Xuecong
Published: June 2024

With the high-quality development of the socio-economic landscape and under the support of national policies, the internet industry has rapidly emerged. In the era of the internet, the development potential and prospects of listed companies in the internet sector are closely related to the overall trend of societal development. The equity structure of a company is the cornerstone of corporate governance and thus affects the company's operational performance. Therefore, this paper conducts an empirical analysis to explore the relationship between the equity structure and corporate performance of listed companies in the internet sector from two dimensions: the nature of equity and the concentration of equity, in hopes of providing references for the sound development of listed companies in the internet industry.
A Comprehensive Study on the Industrial System, Production System, and Management System of Rural Revitalization: A Case Study of Beihai City
Authors: Liang Cheng
Published: June 2024

The report of the 19th National Congress of the Communist Party of China pointed out that the issues related to agriculture, rural areas, and farmers are fundamental issues concerning the national economy and peoples livelihood. It is imperative to always prioritize the resolution of issues related to agriculture, rural areas, and farmers, and to implement the rural revitalization strategy as a top priority for the work of the entire Party. Based on the rural revitalization strategy proposed by Comrade Xi Jinping in the report of the 19th National Congress of the Communist Party of China, this study takes the industrial system, production system, and management system as focal points, focusing on the path of rural revitalization in Beihai City. Drawing on domestic and foreign research literature and combining with the development status of rural revitalization and urban-rural integration in Beihai City, this study analyzes the new formats and economic models formed by the mutual infiltration, intersection, and restructuring of the industrial system, production system, and management system. Specific strategies and suggestions are proposed for reform and innovation, optimization of industrial layout, development of ecological construction, and improvement of social services.
Personalized Marketing and Recommendation Systems on TikTok
Authors: Lu Zelong
Published: June 2024

Given the proliferation of data, personalized marketing and recommendation algorithms have become essential components of digital platform marketing. The paper examines the terrain of customized marketing and recommendation systems in the digital age, specifically concentrating on TikTok. The study utilizes a literature review method to clarify the core principles and mechanisms that form the basis of TikTok's recommendation algorithms. The importance of this research is in identifying the effects of tailored marketing methods on user engagement and satisfaction. The study explores how TikTok combines content-based and collaborative filtering methods, shedding light on the issues presented by content similarity and the platform's unique solutions. The methodological framework includes the analysis of data such as user engagement, click-through rates, and feedback channels to assess the efficacy of tailored content. This study offers valuable insights into improving recommendation algorithms, tackling ethical issues, and adjusting to changing user preferences.
Analysis of China's Banking Market: Based on ARIMA Model
Authors: Huang Yuran
Published: June 2024

China's A-share stock market has long been influenced by the banking sector, which holds a significant market capitalization. However, much of the current market research is macro-focused, which can result in a lack of correlation with individual stocks. Thus, this paper will begin with individual stocks and utilize the autoregressive integrated moving average (ARIMA) forecasting model to statistically predict their expected value. Additionally, it will analyze the errors of individual stocks and various statistical indices, and ultimately relate them to the fluctuations and patterns in the banking sector. Through these analysis in individual stock behavior, this paper will provide insight into seeking the volatility and movements of individual stocks and exploring the correlation between market sentiment and individual stocks, particularly in relation to the banking sector. By understanding these trends and correlations, it is possible to predict stock movements, analyze stock fluctuations, and analyze market behavior. This information can be valuable to individuals and companies working in the stock market.
The Impact of Early Childhood Education's Increasing Trend Towards Younger Ages on the Early Education Industry in China's Economically Developed Areas: A Perspective from the Heckman Curve
Authors: Du Zhenning
Published: June 2024

The trend towards younger ages in early childhood education has become one of the new trends in children's education in China. Based on Heckman's Curve theory, this paper analyzes the intrinsic relationship between the trend towards younger ages in early education and Heckman's Curve, as well as their impact on the early education industry in China's economically developed regions. From the perspective of the Heckman Curve, families in economically developed areas are increasingly valuing early education, and the trend towards younger ages is a real-world confirmation of Heckman's Curve. The study finds that the early education industry is facing the dual challenges of market structure adjustment and consumer upgrading. In such a market environment, early education brands need to continually adjust their educational models and pricing strategies to better meet market demands and enhance brand influence and competitiveness. With increasing market competition and diverse consumer demands, early education brands should strengthen the development of teaching content, improve teaching quality and service, focus on brand marketing and market promotion, continuously improve customer satisfaction and loyalty, and achieve sustainable development and long-term success. Only through constant innovation and optimization can they remain competitive in a fierce market, winning trust and support.
Analysis of Green Finance Innovation Development----Taking Industrial and Commercial Bank of China as an Example
Authors: Lin Xuanhe
Published: June 2024

In recent years, the growing global concern for environmental issues has spurred the exploration and implementation of sustainable development practices in various countries. As a significant player in the financial industry, commercial banks like the Industrial and Commercial Bank of China play a pivotal role in promoting green finance and credit. Given the escalating prominence of global climate change, resource scarcity, and environmental pollution, there is an increasing focus on the social responsibility of financial institutions. Consequently, green finance has emerged as a financial model for sustainable development that has garnered widespread attention. Therefore, by conducting an in-depth study of the experiences of the Industrial and Commercial Bank of China in the fields of green finance and green credit, researchers can enhance their understanding of the vital role that financial institutions play in sustainable development. Simultaneously, this research serves as a valuable reference and a source of experience for other banks and nations when formulating relevant policies.
Customer Loan Credit Risk Prediction Based on Improved Sparrow Search Algorithm Optimised Random Forest Algorithm
Authors: Li Yuqing
Published: June 2024

This paper aims to improve the accuracy of credit risk assessment by optimising the traditional random forest model through the sparrow search algorithm. The study used Pearson correlation analysis to explore the extent of association between customer indicators and loan delinquency. The results show that income, homeownership status, and years of employment in the organisation are positively associated with non-delinquency, while age, loan purpose, amount, interest rate, percentage of income, length of credit history, and approval status are negatively associated with loan delinquency. The model achieved 99.87% accuracy in the training set after 15 iterations. The confusion matrix showed 20,021 customers were successfully predicted with only 26 prediction errors. The test set accuracy was 82.55% with 7092 customers successfully predicted and 1499 prediction errors. In summary, the study achieved significant results in credit risk assessment and provided financial institutions with a more accurate basis for decision-making.
Will RMB Replace the Dollar as the Global Currency?
Authors: Liu Junlin
Published: June 2024

China's economy has been growing quickly in recent years, and there have been numerous academic discussions on the internationalization of the RMB. Currently, academics mainly believe that the RMB will not replace the US dollar as the global currency in the near future.On the basis of summarizing the previous literature, this paper analyzes the feasibility of the RMB replacing the US dollar as a global currency through theoretical research and qualitative analysis. Conclusions are drawn after discussing the potential and obstacles for the RMB to become an international currency: RMB has the great potential to become a global currency, but it still requires a lot of effort from the Chinese government.In addition, the Second World War for the British pound - so even if the remaining barricades to the yuan becoming a global currency are removed it is likely to be years if not decades before it could assume this role.
The Future Development of the Electronic Technology Industry under the Trend of the Digital Economy
Authors: Fang Yining
Published: June 2024

The digital economy has emerged as a prominent trend in contemporary society, reshaping various industries and sectors. This trend is primarily driven by the rapid advancement of technological innovations, particularly in the realm of electronics. At the heart of this digital revolution lies the development of the electronic technology industry. This industry, encompassing a vast array of technologies and applications, has been a key contributor to the development and expansion of the digital economy. To gain a deeper understanding of the development trends within the electronic technology industry, a methodical approach is adopted. This involves searching for relevant data, analyzing patterns and trends, and interpreting the information to draw meaningful insights. The electronic technology industry holds immense promise for future growth and development. However, it is also evident that there is still a considerable way to go before people can fully harness and utilize the potential of electronic technology. This underscores the need for continued research and innovation in this field to ensure that the benefits of electronic technology are fully realized.
Credit Risk Classification and Prediction Based on Deep Neural Network Algorithm
Authors: Liu Xiqing
Published: June 2024

This study predicts whether a user has defaulted based on correlation analysis and deep neural network algorithms. The results of the study show that the occurrence of default by a user is positively correlated with age, family, years of employment, and credit length, and negatively correlated with income, amount, rate, status, and percentage of income. After model training and testing, the prediction accuracy was 81.68% on the training set and 81.68% on the test set. Specifically, there were 2858 correct predictions and 641 incorrect predictions in the training set, of which 469 incorrectly predicted that no default had occurred as having occurred and 172 incorrectly predicted that a default had occurred as not having occurred, and there were also 2858 correct predictions and 641 incorrect predictions in the test set. The results of this study show that the established model has high reliability and accuracy in accurately predicting whether a user has defaulted or not, which provides an important reference for risk assessment and decision-making.
The Impact of Social Marketing Strategies on Brand Loyalty
Authors: Li Weixi
Published: June 2024

In this era of rapid Internet development, competition among brands is becoming increasingly fierce, offering consumers a wide variety of choices and making their decision-making process complex and hesitant. Against this backdrop, brand loyalty plays an important role in a company's marketing and development. As an emerging marketing model, social marketing strategies, with their unique interactivity and speed of dissemination, enable brands to establish and maintain relationships with consumers based on target audiences and product characteristics. This paper will explore the impact of social marketing strategies on brand loyalty and reveal the regular factors involved through research methods such as literature review, observation, and qualitative analysis. The conclusion of the study is that proper use of the right social marketing methods can improve customer loyalty to the brand, and the emphasis on product quality is as important as marketing methods.
The Research of Marketing Strategies of Yunnan Baiyao Company
Authors: Jin Chen
Published: June 2024

With the continuous boost of some relevant policies of the modern pharmaceutical industry, pharmaceutical retail industry, drug production and marketing are gradually becoming the hot spots of the pharmaceutical industry. Although the development of traditional Chinese medicine industry has achieved significant results, there are still some radical problems, such as: insufficient development momentum, weak industry foundation and etc; and the main form is that traditional Chinese medicine production law restrictions, weak foundation of modern industries, weak foundation in the scientific industry, the increasing price of traditional Chinese medicine preparations is squeezed by the market. At present, most pharmaceutical companies already have their own company rules and regulations, but because of chaotic promotion methods, unreasonable marketing strategies and other factors, those still limit the development of companies to a certain degree, so that they cant achieve established marketing goals and revenue. This paper takes Yunnan Baiyao Company as the research object, based on 4P theory, analyzes its existing marketing strategies in terms of four aspects: product, price, place and promotion; and also studies its existing problems in product marketing and retail. It finds that Yunnan Baiyao Company has flaws in terms of e-commerce marketing, and some of its products are facing high priced situations. Therefore, this paper aims to solve the existing problems in the market competition for Yunnan Baiyao Company, in order to increase its product share in the market and find the proper marketing strategies suited to the companys development.