bluuebunny/crossref_metadata_2025 huggingface dataset:
⁠Más Allá del Conocimiento
Authors: Quispe Avalos Angélica María , Navarro-Navarro Bertha , Angulo Paredes Sarita Angelica , Tasayco Barrios Sonia
Published: August 2024

"Más Allá del Conocimiento" es un libro que explora de manera exhaustiva la influencia de la inteligencia emocional en el rendimiento académico de estudiantes universitarios. El autor se centra en una investigación aplicada y cuasi experimental realizada en una universidad pública en Ica, durante el año 2023. A través de un diseño longitudinal y un enfoque cuantitativo, se analiza cómo un programa de inteligencia emocional puede impactar positivamente en el desempeño académico de los estudiantes. La metodología empleada incluye la división de los participantes en dos grupos: un grupo de control con 14 estudiantes y un grupo experimental con 22 estudiantes. El muestreo fue no probabilístico por conveniencia, y se utilizó una encuesta con un cuestionario como instrumento principal para la recolección de datos. El análisis estadístico se realizó utilizando la prueba W de Wilcoxon, que mostró resultados significativos con un p valor inferior a 0.05. Los valores obtenidos en el pretest fueron de 218,500 y en el postest de 112,000, indicando una mejora significativa en el grupo experimental tras la intervención del programa de inteligencia emocional. El libro concluye que el desarrollo de habilidades de inteligencia emocional, como el manejo y control de las emociones, tiene un efecto positivo notable en el rendimiento académico de los estudiantes. Esta obra no solo destaca la importancia de integrar programas de inteligencia emocional en el currículo de la educación superior, sino que también proporciona un marco teórico y práctico para la implementación de estas estrategias en contextos educativos. "Más Allá del Conocimiento" es una lectura esencial para educadores, investigadores y administradores académicos interesados en mejorar el rendimiento académico y el bienestar emocional de los estudiantes. A través de un análisis riguroso y datos empíricos, el libro demuestra que la inteligencia emocional es una competencia clave que puede potenciar el éxito académico y personal en el entorno universitario.
Effect of Client Appraisal on the Profitability of Manufacturing Firms in Kenya
Authors:   Technical University of Mombasa, Kenya, Ali Zeinab Sheikh
Published: August 2024

The objective of the study was to determine the effect of client appraisal on the profitability of manufacturing firms in Kenya. The study was anchored on the Credit Scoring Theory. The study adopted the descriptive research design. The Target population for the study was 1,008 registered manufacturing firms in Kenya, whereas the sample size was 286 unit of analysis which were selected via the stratified random sampling technique. The researcher used primary data which was collected using questionnaires. The statistical package for social sciences version 20 was used in analyzing the collected data. The study conducted the test for normality and the test for linearity so as to confirm the fitness and statistical significance of the simple linear regression model used in this study. The regression coefficients generated from the model were used in testing the hypothesis at .05 level of significance. The p-value of .001 for H01 informed the rejection of H01. The rejection of H01, confirmed that client appraisal has a significant effect on the profitability of manufacturing firms in Kenya. The study therefore, concluded that manufacturing firms in Kenya should focus on investing in client appraisal since they significantly affect their performances. The outcomes from the study would be helpful to managers in the manufacturing firms in making informed decisions with reference to client appraisals. The study also enriched the literature in the field of finance. The study recommends that policy formulating bodies and regulatory bodies should devise policies which support formulation and implementation of client appraisal techniques, this is because it has an overall positive effect on the profitability of manufacturing firms in Kenya.   Keyword: Client Appraisal, Profitability, manufacturing firms, Credit Scoring, Kenya
Recurrent Parvovirus B19-Associated Pure Red Cell Aplasia: A Challenging Disease in Kidney Transplantation
Authors: Paulo Núria , Ferreira Carolina , Cerqueira Ana , Sampaio Susana , Pestana Manuel
Published: August 2024

Parvovirus B19 (PVB19)-associated pure red cell aplasia (PRCA) is an important diagnosis to consider in kidney transplant (KT) recipients experiencing persistent anemia, in whom other etiologies have been excluded. Its management poses a challenge since reducing immunosuppression (IS) to address the viral infection needs to be carefully balanced with the increased risk of allograft rejection. The authors describe a case of a 43-year-old male with a history of chronic kidney disease of unknown etiology who underwent a KT from a deceased donor after circulatory death in January 2021. In the 1st year post-KT, the patient was repeatedly admitted due to the recurrence of PVB19-associated PRCA, requiring blood transfusions and intravenous immunoglobulin (IVIG). IS was initially adjusted with mycophenolate mofetil (MMF) suspension and later transitioned to a TRANSFORM scheme with prednisolone, tacrolimus, and everolimus. Due to deteriorating kidney function, a kidney biopsy was performed and revealed borderline acute T-cell mediated rejection with significant signs of chronicity (50% of interstitial fibrosis and tubular atrophy). To guarantee infection control, IS was not increased. Considering the recurrence of PVB19-associated PRCA, despite the use of a TRANSFORM IS scheme in a patient with chronic allograft dysfunction and high immunologic risk, maintenance therapy with IVIG (0.4 mg/kg) every 4 weeks was started. After 9 months of maintenance therapy, no relapse was identified. To promote an individualized IS prescription, an ImmunoBiogram® was recently performed and an IS reduction is planned, followed by an ImmunoBiogram® control, which will potentially allow the suspension of IVIG maintenance therapy. The diagnosis and management of PVB19-associated PRCA is challenging. Regarding recurrent disease, prolonged IVIG treatment appears to be a useful treatment strategy, but more studies are necessary to ascertain its role. It is also fundamental to tailor the IS as much as possible to the individualized immunologic profile of the patients to prevent overimmunosuppression.
A estrutura analítico-bibliométrica da produção internacional de compliance e programas de integridade
Authors: Oliveira Elisabete de Farias Sousa , Fontgalland Isabel Lausanne
Published: August 2024

O objetivo deste estudo é realizar um mapeamento bibliométrico da produção científica construída em torno de compliance e programas de integridade. Foi realizada uma abordagem exploratória-descritiva, por meio de uma análise bibliométrica, operacionalizada com o auxílio do software VOSviewer. O protocolo de pesquisa consistiu em análise das publicações indexadas na base de dados da Web of Science no período de 2013 a 2023. Foram executadas três etapas de filtragem, totalizando, ao final, 583 artigos. A avaliação relacionada à autores, produtividade, periódicos, países, referências com maior número de citação e a elaboração de redes bibliométricas. Os resultados indicam um crescimento representativo da produção acadêmica nos últimos 5 anos, há predominância de pesquisas qualitativas e teóricas, que abrangem quase a totalidade dos estudos, as instituições mais influentes estão concentradas em países como os Estados Unidos (14,05%). Os periódicos mais relevantes são: Taylor & Francis, Wiley, Sage, Oxford Univ Press e Cambridge Univ Press. O mapa de palavras-chave apresentou compliance como tema central, seguido por gestão, governança e implementação. As conclusões apresentam o panorama das áreas de pesquisa, periódicos, países, agrupa as publicações com base em suas relações de citação em rede de citações com os estudos mais relevantes, demonstram os cluster com as publicações mais citadas, revela que a implementação de programas de compliance e integridade na administração pública assegura a ética e a integridade, visando prevenir práticas ilícitas e promover uma boa governança, além disso, apresenta tendência, lacunas e oportunidades de pesquisa do campo investigado.
Doença carotídea extracraniana: epidemiologia, diagnóstico e tratamento cirúrgico e intervencionista
Authors: Oliveira Carlos Walmyr de Mattos , Corsso Cristiane del , Moreira Leonardo Gomes , Andrade Laura Oliveira Lorenzo de , Takeda Junior Nelson Massaru , Barros Víctor César Vieira de Oliveira , Silva Daise de Carvalho da , Andrade Gabriel Barboza de , Silva Rafael Carvalho de Oliveira , Ferreira Ítalo do Couto , Barbosa Priscilla Trece , Dias Ana Laura Matos Moreira , Moreira Vinícius de Almeida Gemellaro , Campos Antônio Lopes , Silva Karina Mitsuzumi Ono
Published: August 2024

A doença carotídea extracraniana é um fator crucial na etiologia dos acidentes vasculares encefálicos (AVEs), frequentemente associada à aterosclerose e a episódios de embolização. O objetivo deste estudo é revisar e analisar os avanços recentes nas abordagens diagnósticas e terapêuticas para essa condição, com foco nas técnicas cirúrgicas, estratégias de imunossupressão e manejo pós-operatório. Foi realizada uma busca sistemática em bases de dados biomédicas renomadas, como PubMed, Scopus, Web of Science e Embase, utilizando termos relacionados ao transplante cardíaco, técnicas cirúrgicas e imunossupressão. Não houve restrição quanto ao idioma ou data de publicação dos estudos incluídos. Foram aplicados critérios rigorosos para a seleção dos estudos, excluindo aqueles que não estavam disponíveis integralmente ou que não apresentavam informações relevantes sobre as técnicas cirúrgicas, estratégias de imunossupressão e manejo pós-operatório em transplante cardíaco. Foram incluídos artigos originais, revisões sistemáticas, meta-análises e diretrizes clínicas. Os dados extraídos foram analisados para identificar padrões emergentes, lacunas na literatura e áreas de consenso ou controvérsia.  A revisão revelou que a aterosclerose na bifurcação da artéria carótida é uma causa predominante de AVEs, com técnicas de imagem como ultrassonografia com Doppler, angiotomografia e angiorressonância magnética sendo essenciais para o diagnóstico preciso da estenose carotídea. A endarterectomia carotídea se mostrou eficaz na redução do risco de AVEs ipsilaterais, especialmente em pacientes com estenose severa. A colocação de stent, por outro lado, é uma alternativa valiosa, mas apresenta riscos associados à formação de êmbolos, sendo necessário o uso de dispositivos de proteção cerebral. Além disso, a revisão abordou a síndrome do roubo da subclávia, uma condição rara, mas relevante para o diagnóstico diferencial. Os resultados indicam que, embora os avanços nas técnicas de imagem e nas opções terapêuticas tenham melhorado o manejo da doença carotídea extracraniana, existem áreas que necessitam de mais investigação, especialmente no tratamento de pacientes assintomáticos e na gestão de estenoses moderadas. A conclusão do estudo destaca a importância de continuar a pesquisa e a atualização das diretrizes clínicas para aprimorar o tratamento e os desfechos clínicos associados à doença carotídea extracraniana.
Implementation of SHEPWM using the modified Newton-Raphson algorithm on a three phase inverter with DSPACE 1104
Authors: Djafer Lemya , Taleb Rachid , Mehedi Fayçal , Larbaoui Ahmed , Bokhtache Aicha Aissa , Saidi Hemza
Published: August 2024

The significant impact of harmonics and switching frequency on switching power converters is Widely known and acknowledged. To mitigate this issue, over the years a diverse range of methods has been developed. A three-phase inverter using a modified Newton-Raphson algorithm for selective harmonic elimination is simulated and experimentally validated in this research. The modified Newton–Raphson method is utilized to solve transcendental equations in the Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) technique, aiming to determine the optimal switching angles, This modified technique is uncomplicated and guarantees swift convergence to the solution. This research provides a comprehensive analytical overview of the harmonic issue and details the step-by-step utilization of a modified Newton-Raphson (NR) procedure to remove specific target harmonics, to gauge the performance of the suggested strategy. The DSPACE environment, which is based on digital signal processors, is used to conduct simulations and validate the accuracy of the approach. The efficacy of the suggested strategy is unequivocally substantiate by the very positive experimental results.
O papel de canastrão da tecnologia da informação no modelo administrativo de gestão municipal: o caso da prefeitura de Juazeiro do Norte
Authors: Souza Kássia Roberta Rodrigues de , Dias Junior Francisco Demontiez , Dornelas Jairo Simião
Published: August 2024

De forma específica, muitas prefeituras municipais brasileiras aparentam não utilizar o apoio da tecnologia da informação em suas atividades gerenciais. Visando aquilatar as razões desta lacuna, buscou-se apurar o papel atribuído à tecnologia da informação na condução de um modelo de gestão municipal, no espaço de administração da Prefeitura Municipal de Juazeiro do Norte. A estratégia metodológica utilizada foi o estudo de caso único, o qual se fez à base de entrevistas com gestores municipais e colaboradores técnicos envolvidos com a área de tecnologia da informação. Dentre os resultados encontrados, notou-se que a infraestrutura de tecnologia da informação possui diversas falhas em todos os componentes estudados. Além disso, os sistemas de informação não são utilizados em atividades chaves de gestão, como por exemplo, no auxílio à elaboração dos planos e planejamentos municipais. Como fruto das análises realizadas, ficou claro que existe a percepção por parte de todos os entrevistados da necessidade de mudanças em todos os setores, considerando que a tecnologia da informação pode exercer um papel muito mais relevante na Prefeitura Municipal de Juazeiro do Norte.
Case Study on the Application of Airborne Remote Sensing in Algal Bloom Monitoring
Authors: Wu Juntao
Published: August 2024

Currently, algal blooms pose a significant threat to water ecosystems and human health worldwide. Timely and accurate monitoring and forecasting of algal blooms are essential for maintaining ecological balance in water bodies. Airborne remote sensing (ARS) has emerged as an efficient and rapid method for acquiring large-scale environmental information and has gained attention in the field of algal bloom monitoring. In this study, we analyze the applicability and effectiveness of airborne remote sensing in algal bloom monitoring through four representative cases: Lake Erie, Lake Pinto, Geum River, and Lake Taihu. The results demonstrate that airborne remote sensing offers high temporal and spatial resolution, allows for all-weather observation, and enables rapid response in algal bloom monitoring. However, airborne remote sensing also presents challenges such as high costs and susceptibility to weather conditions. Furthermore, this study proposes future directions for the development of airborne remote sensing. It aims to enhance our understanding of the potential applications of airborne remote sensing technology in algal bloom monitoring, providing valuable insights for further improvements in monitoring techniques and water environment protection.
A Comprehensive Research on China Rural Area Finance
Authors: Yang Heping
Published: August 2024

The financial situation in China's rural areas plays an essential role in the overall national economy because it contributes to the sustainable economic development of a region in the future. In recent years, China has paid great attention to the economic situation in rural areas and try to improve the current position. Therefore, many policies have been introduced to reduce poverty and balance regional development differences. However, how to completely solve the rural financial problem is a slow and complicated process because of a series of problems, such as small rural market size, high market risk, lack of financial literacy and poor supervision. After analyzing the specific problems in rural areas and combining them with the actual situation, the paper gives some relevant solutions and programs which will have a significant and far-reaching impact on supporting the national policy for rural areas, eliminating the wealth gap between people and realizing shared prosperity.
Strategy for Water Level Control Based on Prediction Control Feedback Model
Authors: Ma Ruiyang , Jiang Ling , Hong Chenye
Published: August 2024

First, this article uses the fuzzy comprehensive evaluation algorithm to consider the interests and costs of all parties to construct a comprehensive satisfaction score as the objective function, with the safety needs of residents around the Great Lakes for water levels as constraints, and the optimal water level is obtained through nonlinear programming. Then, this article uses the Predictive-Control-Feedback (PCF) concept to construct a water level control management model. The predictive model is mainly built on the differential equation model of the flow rate change per second for each lake. The LSTM model predicts the per second precipitation, evaporation, and runoff. The input and output flow rates of the river are calculated based on the Manning formula. The PCF model dynamically minimizes the sum of squared errors between the predictive model and the target by using grid search to find the optimal control flow rate. In addition to the differential equations, the predictive model also includes a recursive predictive correction control term, which provides feedback to the current predictive model based on the deviation between the actual value and the predicted value from the previous period. Meanwhile, we have tested the sensitivity of this algorithm to dam outflow and environmental changes, and the result shows that the algorithm is stable for both types of sensitivity tests.
Ecosystem Assessment Model Based on Multi-Population Complex System Dynamics and Simulated Annealing Algorithm
Authors: Li Xiaomeng , Liang Jiahe , Li Yichen
Published: August 2024

This study explores the unique phenomenon of sex ratio variability in sea lampreys and its ecological significance. Through extensive research on the life cycles and habits of sea lampreys, we developed three distinct mathematical models to analyze the impact of this adaptability on population dynamics and ecosystem stability. The Lotka-Volterra Difference Model revealed that a variable sex ratio can enhance ecosystem resilience by reducing the amplitude of periodic fluctuations and delaying system collapse by 75%, although it accelerates collapse under extreme resource scarcity. The Food Web Model further confirmed the positive effects of sex ratio variability on ecosystem resilience and stability. Conversely, the Multi-population Complex System Dynamics Model, in conjunction with a sensitivity analysis, emphasized the delicate balance between early competition advantages and long-term competitiveness challenges. Overall, our findings elucidate the complex role of sex ratio variability in sea lampreys, offering insights into its ecological importance and potential management implications for maintaining biodiversity and ecosystem health.
Examining Factors Influencing the Consumption of Meal Replacements Using Ordered Logit Analysis: Insights from Shaanxi Province
Authors: Wang Xinghan
Published: August 2024

With the acceleration of the pace of life and the enhancement of health consciousness, meal replacement products, which are both nutritious and convenient, have received widespread attention in recent years and have great room for development. This study aims to comprehensively explore the main reasons for consumers to buy meal replacement products, the author through a large number of literature reading finally summarized twelve potential influencing factors, and selected Shaanxi Province residents as the object of the study to carry out a questionnaire survey, a total of 206 valid questionnaires were returned, through descriptive statistical analysis and ordered logistic regression and other methods to analyze the main motives for meal replacement consumption, the results show that the convenience of time saving, weight loss effects, and other factors have a positive impact on the consumption of meal replacement. The results of the study show that convenience, timesaving, weight loss effect and other factors have a significant positive impact on meal replacement consumption, and businessmen can further optimize meal replacement products according to consumers' needs and preferences to expand the meal replacement market.
The Impact of Population Aging on Employment
Authors: Liu Dehonghao , Zhao Ruiyang
Published: August 2024

Under the background of the increasingly severe trend of population aging, its impact on China's labor market cannot be ignored. Based on China's population data and employment data from 2013 to 2022, this paper examines the specific impact of population aging on China's labor supply market and demand market through quantitative analysis and horizontal comparison. The results show that: in the labor supply market, population aging will reduce labor supply and increase labor cost, reduce labor participation rate and aging labor structure, and reduce labor quality and innovation ability; In the labor demand market, the trend of industry demand for the elderly is becoming very obvious due to the aging of the population, healthcare, health, leisure and financial services with a focus on pension management are experiencing significant growth, followed by increasing levels of technology and automation, and finally the growth of the service industry. In particular, those related to personal care and home services types of jobs saw growth. Accordingly, the Government should give full play to its macro-control function to ease the pressure of the aging population on the job market and promote the sustainable development of the labor market by encouraging the delay of retirement, increasing the birth rate, strengthening the health infrastructure and services, and the construction of the education system.
Beethoven's "Passion" Sonata (No.23 Op.57) Musical characterization and performance analysis of the third movement
Authors: Chen Dan
Published: August 2024

Beethoven's "Passion" Sonata, originally titled "Piano Sonata No. 23", Op.57”, composed between 1804 and 1806, is one of the most important representative works of Beethoven's mature period, and is generally regarded as one of the most outstanding works of his piano sonatas. The third movement of the "Passion" Sonata is rich and varied in emotional expression, ranging from angry and resolute emotions to contradictory and soft emotions, and the dramatic emotional changes demonstrate the composer's diverse expressive abilities. This paper takes the third movement of the "Passion" Sonata (No.23 Op.57) as the object of study, and analyses the characteristics of the musical style, playing techniques and emotional expression of the piece.
Research and Application of Underwriting Decision Model Based on Climate Risk Factor
Authors: Cen Chengen , Ouyang Xinyue , Chen Wei
Published: August 2024

In recent years, the frequency of extreme weather has led to an increase in claims costs for the insurance industry resulting in higher insurance premiums. This paper addresses how to strike a balance between the profitability problem of insurance companies and the affordability of customers. Firstly, we construct an underwriting decision model based on the climate risk coefficient, then we use the entropy weight topology to measure multiple types of climate risks, then we estimate the disaster loss and insurance claim probability by ARIMA and random forest; we use the data envelopment analysis model to assess the underwriting efficiency, and we use the gray prediction model to predict the gap trend, and secondly, we derive the decision function. Finally, we chose the Statue of Liberty as the object for risk assessment object, using the established model to calculate, and concluded that the Statue of Liberty faces a climate risk index of 0.624 and proposed protection measures.
Impact of Soft Power on Traditional Global Dynamics
Authors: Xu Zhihao
Published: August 2024

Throughout history, the dynamics of international relations have been significantly influenced by quantifiable indicators of military and economic capabilities, often known as 'real power.' This research examines the transformational inquiry into the impact of the advent of 'soft power' on traditional global dynamics. The case study methodology is used to analyze the significant consequences of this paradigm shift, with a specific focus on the United States as an exemplar of the utilization of soft power. Soft power, rooted in the allure of cultural exchange, shared values, and joint efforts, has emerged as a crucial tool in modern diplomacy. Since it focuses on cultural diplomacy, it plays a vital role in promoting global cooperation and minimizing the need for resource-intensive hard power methods. In a dynamic geopolitical environment, the concept of soft power emerges not only as a viable option but also as a crucial element in forming amicable international alliances, fostering mutual respect, and building bridges of understanding.
Research on the correlation between digital economy and carbon emission based on PSO-Kmeans algorithm
Authors: Wu Linjing , Liao Yilong , Chen Yi , Liu Yuanbo
Published: August 2024

Based on the PSO-Kmeans algorithm, this paper deeply explores the correlation between digital economy and carbon emissions in China's prefecture-level cities. Firstly, random forest algorithm is used to deal with missing values, logarithmic transformation is used to improve data skew distribution, and principal component analysis is used to reduce data dimension, which improves the quality of data analysis. Furthermore, K-means clustering algorithm combined with Hopkins statistics was used to verify the feasibility of clustering. Monte Carlo simulation and PSO-Kmeans algorithm were used to optimize the clustering results, and the type characteristics of carbon emission trends in each city were obtained.
A Call for Integration: Innovative Application of Traditional Styles in the Design of Contemporary Cultural and Creative Products
Authors: Sun Shuyi , Li Yijin , Cheng Yuhua , Luo Xinyi
Published: August 2024

Traditional decorative elements have a long history, unique cultural connotations and high artistic value, showing national customs and regional characteristics from different sides, which is not only the epitome of the times, but also highly decorative and practical, and is an important part of traditional culture. The application of traditional decorative elements in the design of cultural and creative products plays a very important role in the inheritance and promotion of traditional culture, so it is necessary to have a comprehensive understanding of traditional decorative elements.
Research on field transmission efficiency of heliostat based on optical trace tracking technology
Authors: Luo Lei
Published: August 2024

Nowadays, the Dingsun mirror field has been gradually put into the actual production, the Dingsun mirror field makes the highest utilization efficiency of light energy is a problem of great significance. By establishing the efficiency model of heliostat, the optical efficiency of heliostat field is calculated by using the light trace tracing method. First of all, the coordinate system is established and the sun altitude Angle and azimuth Angle at different times are calculated according to the longitude and latitude of the helioscope field. Then, considering that the optical efficiency is affected by the shadow blocking efficiency, cosine efficiency and collector truncation efficiency, the solution model of each efficiency is obtained by consulting literature. The shadow occlusion efficiency is studied by using the optical trace tracking method, and the adjustment model of heliostat is established. The average annual optical efficiency is 0.44, the average annual thermal output power is 27.16MW, and the average annual thermal output power per unit mirror area is 0.43kW/m2. The feasibility and accuracy of each efficiency model are verified by a concrete example, which lays a foundation for defining the design of mirror field.
Project Management in the Age of Artificial Intelligence
Authors: Diao Ziwen
Published: August 2024

This paper discusses the application and impact of artificial intelligence in the field of project management. Firstly, it introduces the definition and development history of AI and analyses its wide application in various industries. Then, it elaborates the impact of AI on project management, including project planning and scheduling, cost estimation and forecasting, risk management and decision support, communication and collaboration, quality management and monitoring, and resource allocation and optimisation. Artificial intelligence technology has shown significant advantages in improving decision-making accuracy, optimising resource utilisation, and enhancing risk management. At the same time, this paper also discusses the challenges of AI in project management, such as data quality, algorithm transparency, and personnel literacy, and points out the skill requirements and role changes of AI for project managers and teams. Finally, it looks forward to the future development of AI in project management and expects it to bring more innovations and breakthroughs to provide more efficient and smarter solutions for project management.
Case Analysis of Wal-Mart in the German Market
Authors: Zhou Yifei
Published: August 2024

With the development of globalization and e-commerce, the market competition of the retail industry is becoming increasingly fierce. As one of the most important retail markets in Europe, Germany has attracted the attention of many international retailers. But despite Wal-Mart's global reputation, its performance in the German market has been disappointing. Therefore, the analysis of Wal-Mart's failure in the German market can help it understand the reasons behind it and provide reference for other multinational retailers to expand in overseas markets. This paper understands the history and current situation of Wal-Mart in the German market. This paper discusses the reasons for the failure of Walmart to enter the German market, and deeply analyzes the challenges in culture, market competition and management decision-making. By summarizing the experience of Wal-Mart in Germany, this paper presents a series of lessons and inspirations designed to help other enterprises more successfully develop international expansion strategies, especially in the face of challenges such as cultural differences. This research has practical guiding significance for the development of global retail enterprises in the international market.
Research on a Road Defect Detection Method based on Improved YOLOv8
Authors: Wang Yanyan , Zhou Menghao , Chai Haojie , Xue Ran
Published: August 2024

Traditional road defect detection methods mainly rely on manual detection, which is inefficient and has many limitations. In order to detect road defects more accurately and quickly, this paper proposes a road defect detection method based on improved YOLOv8. In this paper, a large number of image datasets containing road defects are collected and annotated, and the YOLOv8 algorithm is used to train the model on the dataset, one group uses the original model, one group replaces the convolutional kernel (DCNv2), and one group adds the attention mechanism (CBAM), and then a comparative evaluation is performed based on the training results of the models in each group. The experimental results show that the improved model reflects higher accuracy in road defect detection compared to the untuned model. The model with the replaced convolutional kernel improved about 2% compared to the original model Mean Average Precision (mAP), and the model with the added attention mechanism improved about 3.5% compared to the original model mPA. This study can efficiently identify different types of road defects, which can help road maintenance work to be carried out more scientifically and efficiently, and provide important support for improving road safety and maintenance efficiency.
Evaluation of Urban Air Quality Based on Entropy Weight Method
Authors: Zhang Hui , Zheng Zhiyang , Wang Shuxin , Xing Bang
Published: August 2024

With the rapid development of China's economy and the continuous growth of population, environmental problems have become an important challenge to be solved urgently.In this study, entropy weight method is used to process the data in order to solve the common problem of multi-index evaluation of environmental problems. By calculating the information entropy between the indicators to determine the weights, avoid subjective errors, fully consider the relative importance of each indicator, and establish a mathematical model between the Air Quality index (AQI) and different pollutant concentrations.This paper describes in detail the selection of SO2, PM10, NO2, NO, O3, PM2.5 six indicators to evaluate the air quality status, and explains the source and characteristics of each indicator. Through data standardization and weight determination, the entropy weight method obtained the comprehensive score of the air quality of each city from 2013 to 2021, showing the air quality of different cities.Finally, the paper puts forward suggestions to improve air quality, including measures to reduce fossil fuel use, promote clean energy, and strengthen emission management and limits.
Research on the Construction of a Monitoring System for Business Management Awareness Internship in Economics and Management Majors
Authors: Xu Nuo , Zhou Jiali
Published: August 2024

The application of the implementation strategy of the management cognitive practice monitoring system in the economics and management majors requires the management team and teachers to have a high professional perspective and fine practical operation ability. Only through in-depth analysis of professional and enterprise management practices and the design of truly relevant and practical management tools and monitoring paths can any theoretical framework or model play its proper role in practice and achieve the objectives of talent training. This will require continuous testing and improvement to promote the integration of theory and practice and the gradual formation of systematic professional management skills and levels.
Research On the Dissemination and Preservation of Traditional Culture in The Era of New Media
Authors: Lyu Shuxuan
Published: August 2024

Traditional culture represents the spiritual essence and civilization symbols of a nation, facing numerous challenges in inheritance and development in the era of new media. Traditional cultural dissemination is hindered by outdated and monotonous forms, failing to engage modern audiences effectively. Public awareness and identification, especially among the younger generation, remain relatively low. Additionally, digital preservation efforts lag behind, exacerbating the shortage of skilled inheritors of traditional arts and crafts. These factors collectively constrain the dissemination and protection of traditional culture. Therefore, innovation in dissemination methods to enhance influence, intensified efforts in digital preservation to cultivate inheritors, and a focus on sustaining cultural vitality while avoiding excessive formalization are essential. Only through embracing the original, integrating external influences, and innovating continuously can traditional culture thrive and shine brightly in the new era. Maintaining its vitality in the current cultural landscape requires a balance of preservation and adaptation.
Money As the First Priority——On the Origin of The Chaos of Chinese Social Values
Authors: Wang Xu
Published: August 2024

As the passage of time continues, the well-known proverb "Money makes the mare go" undergoes a subtle transformation. It now takes on a more playful expression, suggesting that "Money can make Mo push ghosts." The objective of this document is to delve into the phenomenon of money and power as the foremost priorities in Chinese society and analyze its underlying causes. [1]. By examining the development and evolution of the concept of money and power within the realms of literature and history, we can gain insights into the formation of societal values. Through the skillful construction of cultural worlds in literary works, we witness the unique perception of wealth and power held by society. Furthermore, the course of historical reforms has propelled societal transformations, consequently contributing to the prevalence of money and power in modern times. By comprehensively studying these two distinct fields, this paper seeks to uncover the fundamental reasons behind this social phenomenon, offering insightful perspectives on potential solutions and future research directions. In times of silence, it is human instinct to speak out, and in moments of darkness, we strive to find illumination
Player Momentum Analysis in Tennis Match Based on Wavelet Analysis
Authors: Xu HuaZhou , Du YiHang , Zhang LiMin
Published: August 2024

Tennis matches are exciting and have many twists and turns, in which the energy that the players obtain from the match events and ultimately affect the match is called the player's momentum. In order to study the momentum change and match trend of tennis players in depth, this study establishes a momentum model related to players' match data reflecting players' match performance, and on this basis, using wavelet analysis method, establishes a wavelet sequence analysis chart as well as wavelet coefficient spectrograms, which analyzes the intrinsic characteristics of the player's full-court performance change in-depth from the point of view of the change of the time series. In order to verify the validity of the momentum model, this study conducted a multidimensional correlation analysis of the momentum data and the score data, obtained the strong correlation between the momentum data and the score data, and verified the non-randomness of the momentum data through the stochasticity test, thus proving the strong validity of the momentum model, which can provide a powerful support for analyzing and predicting tennis matches and adjusting the match strategy based on it.
Research on Pricing and Replenishment Strategies for Supermarkets Based on Revenue Maximization
Authors: Lu Zheng , Wang Yuanshuo , Liu Kefei
Published: August 2024

Based on the perspectives of time series and the supply chain, this paper investigates pricing and replenishment strategies for fresh supermarkets with the aim of maximizing profits. Through visual analysis, the vegetable category is thoroughly examined, revealing seasonal sales patterns. Furthermore, the correlation between different categories is explored using ADF tests and the DPCCA model. To optimize the replenishment quantity for the upcoming week, sales data from the past month is employed for nonlinear fitting. Assuming a fixed purchase price, the ARIMA model is utilized to forecast pricing, and optimal pricing and daily replenishment strategies for the next seven days are formulated through nonlinear programming methods.
Research on How the Yangtze River Delta's Integration Policy Affects the Modernization of the Area's Industrial Structure
Authors: Shen Xilang
Published: August 2024

As Chinese society enters a new phase, the nation encourages coordinated social development by implementing the regional integration program. The regional integration of the Yangtze River Delta is demonstrating its significant influence as one of the key policies. The purpose of this research is to investigate how the regional integration policy has affected the Yangtze River Delta's upgrading of its industrial structure, and solve the corresponding policy optimization problems, and during the experiment, the issues of regional variations that are absent from the current body of study were investigate. This research examines the beneficial effects of ongoing enhancement and the growth of regional integration policies in the Yangtze River Delta on the level of industrial structure optimization which use pertinent panel data of pertinent cities from 2015 to 2022 and upgrade by using the difference-difference method. Because of the empirical test results, pertinent recommendations for policy are made.
Executive Digital Background and Artificial Intelligence Use: A Study Based on Empirical Model
Authors: Xu Shengnan , Yuan Shijie
Published: August 2024

In the era of digital change, Artificial Intelligence (AI) has become an indispensable tool for enterprises to enhance competitiveness and optimize operations. Executives, as the core of decision-making in enterprises, profoundly impact enterprises' digitalization. This study delves into the intriguing realm of corporate artificial intelligence by examining the impact of executives' digital backgrounds on A-share listed companies in China's Shanghai and Shenzhen stock markets from 2001 to 2021. The findings reveal a significant influence of executives' digital background on the integration of corporate AI, even after thorough endogeneity and robustness tests. Furthermore, the study's heterogeneity analysis highlights how this positive influence is particularly pronounced in eastern and western regions, non-polluting industries, and asset-intensive enterprises. Ultimately, this research provides guidance for advancing AI application in enterprises and driving digital transformation.
Addressing the Conversion of Athletes' Temporary Fans into Loyal Fans
Authors: Shen Yan
Published: August 2024

Following the 2023 Asian Games in Hangzhou, China, two athletes, Wang Chuqin and Sun Yingsha, performed admirably and won multiple gold medals for China, resulting in the formation of a large number of new temporary followers. The major objective of this article is to investigate how to change fan loyalty. A case analysis will be conducted using two fans, Wang Chuqin and Sun Yingsha, in which the mixed market theory is integrated to explore and analyze the situation. The first generation of the problem is that fans can get an alternate sense of accomplishment from the athletes during the competition, and the corresponding suggestion is to strengthen the timely response to the fans' behaviors, to bring the athletes and the fans closer together, and to deepen the fans' loyalty. The second reason for the problem is that the fans' patriotic feelings only emerge during matches between China and other countries, and the corresponding suggestion is that the athletes interact more with the fans after the matches, bringing the athletes and the fans closer together. The third reason for the dilemma is that table tennis is China's national sport, and the country and its people value it highly. The corresponding advice is to improve relevance and participate in more charitable activities in order to set an example for today's youth and inspire them to do good things that will contribute to the peaceful growth of society.
Analysis of Wimbledon men's final based on entropy weight method and gray correlation degree
Authors: Yan Wenyu , Wu Haotian , Wei Yi , Wang Zhongshuai , Lv Junhua
Published: August 2024

In the men's final of the 2023 Wimbledon Open, the match took a dramatic turn as Novak Djokovic had the upper hand for a while, but then Alcaraz took control. Such striking fluctuations are usually attributed to "momentum". This paper uses an evaluation model based on the entropy weighting method to analyze an athlete's performance over a specific time period of a match. The paper used the evaluation model to derive a composite score, which was found to correlate with the athlete's wins and losses in the match. The resulting changes in the composite score are consistent with the actual wins and losses, which indicates that the results of the model are more accurate. In addition, this paper also establishes a correlation analysis model based on gray correlation, and finds that the correlation between the athlete's "motivation" and the actual win/loss situation is as high as 0.789, which indicates that the athlete's motivation level is highly correlated with the win/loss situation in the current time period.
The Implementation of the New Environmental Protection Law and Its Impact on Corporate Development
Authors: Liu Bowen
Published: August 2024

"Environmental Protection Law of the People's Republic of China"was first carried out in 1989, marking the preliminary establishment of China's legal system. Since January 1, 2015, China has officially implemented the revised "Environmental Protection Law of the People's Republic of China" (hereinafter referred to as the "New Environmental Protection Law"), which has been further improved on the basis of the 1989 version with a focus on the coordinated development of economic growth and ecological protection and clearly defines the legal responsibilities of different entities such as enterprises, governments, and citizens, providing a better institutional guarantee for the advancement of environmental governance. This paper combines nearly five years of literatures on the impact of the implementation of the New Environmental Protection Law on corporate development, classifying and analyzing them, and summarizes its impact on corporate ESG levels, labor employment scale, transformation and upgrading, financing constraints, and information disclosure. The paper also predicts future development trends, and puts forward feasible policy recommendations.
A Statistical and Machine Learning Based Study of Ecological Impacts in Lamprey
Authors: Li Qianran , Zhao Sirong , Jie Siyu
Published: August 2024

The aim of this study is to investigate the effects of changing sex ratios on ecosystems, with Lamprey as the subject of the study. It focuses on the impacts of changing sex ratios of Lamprey populations on their population size and ecological roles, and analyses their position in the food chain. Factors such as population size, sex ratio and growth rate of Lamprey were modelled and predicted through the development of the Lamprey Dynamic Model (LDM), incorporating relevant data analysis methods and mathematical models. Statistical and machine learning methods such as correlation analysis, Hermite interpolation algorithm, and Fourier fitting were used. The results showed that the sex ratio of Lamprey was closely related to environmental factors such as water temperature, oxygen content and water hardness. Through LDM modelling, the patterns of sex ratio effects on Lamprey population size and growth rate, as well as changes in its position in the food chain, were revealed. Positive and negative impacts of Lamprey populations on ecosystems were derived, including advantages such as adaptive sex ratio changes and reproductive migration strategies, as well as negative impacts of over-regulation of sex ratio and invasiveness on ecological balance. These findings provide new insights into understanding population dynamics and species interactions in freshwater ecosystems.
Customer customization: literature review and future prospects
Authors: Xu Ying
Published: August 2024

As an important customer value strategy for enterprise development, customer customization is of great significance to the growth of customer satisfaction and enterprise revenue. Since the 80s of the 20th century, many scholars have carried out extensive research on the definition of customer customization and the research mechanism. In recent years, with the vigorous development of digital technologies such as artificial intelligence, big data, and cloud technology, customer customization is facing new opportunities and challenges. Therefore, it is necessary to conduct a systematic review of the customer's customized Chinese and English literature. This paper systematically sorts out and comprehensively analyzes the customer customization strategy from three aspects: the connotation, mode and influence results of customer customization, and looks forward to the future research direction.