bluuebunny/crossref_metadata_2025 huggingface dataset:
Comentario del libro: Evaluación de los aprendizajes un enfoque basado en competencias Julio H. Pimienta Prieto
Authors: Calero Chevez Kendriths Magdieel
Published: January 2024

En primera instancia, cabe aclarar que con el texto según su autor no se pretende crear un libro de consulta, por el contrario, con este solo se pretende compartir experiencias con profesores, es decir; la finalidad de este solo consiste en compartir conocimientos entre iguales, y de ser adecuado y útil retomarlos y adecuarlos de acuerdo a la necesidad que se presente en el aprendizaje
Comparative analysis of proximal humerus fracture management in elderly patients: complications of open reduction and internal fixation by shoulder surgeons and non-shoulder surgeons—a retrospective study
Authors: Claro Rui , Barros Bianca , Ferreira Carlos , Ribau Ana , Barros Luis Henrique
Published: January 2024

Background: Open reduction and internal fixation (ORIF) with a locking plate is a popular surgical treatment for proximal humeral fractures (PHF). This study aimed to assess the occurrence of complications in elderly patients with PHF treated surgically using ORIF with a locking plate and to investigate the potential differences between patients treated by “shoulder surgeons” and “non-shoulder surgeons.”Methods: A retrospective study was conducted using a single-center database to identify patients aged ≥70 years who underwent ORIF for PHF between January 1, 2011, and December 31, 2021. Data on the Neer classification, follow-up, occurrence of avascular necrosis of the humeral head, implant failure, and revision surgery were also collected. Statistical analyses were performed to calculate the overall frequency of complications according to the Neer classification.Results: The rates of implant failure, avascular osteonecrosis, and revision surgery were 15.7%, 4.8%, and 15.7%, respectively. Complications were more common in patients with Neer three- and four-part fractures. Although the difference between surgeries performed by “shoulder surgeons” and “non-shoulder surgeons” did not reach statistical significance, the rate of complications and the need for revision surgery were nearly two-fold higher in the latter group.Conclusions: PHF are highly prevalent in the elderly population. However, the ORIF surgical approach, as demonstrated in this study, is associated with a considerable rate of complications. Surgeries performed by “non-shoulder surgeons” had a higher rate of complications and a more frequent need for revision surgery. Future studies comparing surgical treatments and their respective complication rates are crucial to determine the optimal therapeutic options.Level of evidence: III.
Blood flow velocity in the anterior humeral circumflex artery and tear size can predict synovitis severity in patients with rotator cuff tears
Authors: Machida Takahiro , Hirooka Takahiko , Watanabe Akihisa , Katayama Hinako , Matsukubo Yuki
Published: January 2024

Background: Rotator cuff tears are often associated with synovitis, but the ability of noninvasive ultrasonography to predict the severity of synovitis remains unclear. We investigated whether ultrasound parameters, namely peak systolic velocity in the anterior humeral circumflex artery and Doppler activity in the glenohumeral joint and subacromial space, reflect synovitis severity.Methods: A total of 54 patients undergoing arthroscopic rotator cuff repair were selected. Doppler ultrasound was used to measure peak systolic velocity in the anterior humeral circumflex artery and Doppler activity in the glenohumeral joint and subacromial space, and these values were compared with the intraoperative synovitis score in univariate and multivariate analyses.Results: Univariate analyses revealed that tear size, peak systolic velocity in the anterior humeral circumflex artery, and Doppler activity in the glenohumeral joint were associated with synovitis in the glenohumeral joint (P=0.02, P<0.001, P=0.02, respectively). In the subacromial space, tear size, peak systolic velocity in the anterior humeral circumflex artery, and Doppler activity in the subacromial space were associated with synovitis severity (P=0.02, P<0.001, P=0.02, respectively). Multivariate analyses indicated that tear size and peak systolic velocity in the anterior humeral circumflex artery were independently associated with synovitis scores in both the glenohumeral joint and the subacromial space (all P<0.05).Conclusions: These findings demonstrate that tear size and peak systolic velocity in the anterior humeral circumflex artery, which can both be measured noninvasively, are useful indicators of synovitis severity.
Humanização e segurança do paciente no centro cirúrgico: saúde pública e interdisciplinaridade
Authors: De Moura-Ferreira Maria Cristina , Paletot Yolanda Abrantes , Fernandes Marcelo Barros de Valmoré , Da Silva Diana Nunes , Santos Samara da Silva , Porto Virginia de Araújo , Falco Erika Silva Arvelos , De Oliveira Annelissa Andrade Virginio , Lucena Cybelle Cristina Cavalcante
Published: January 2024

As salas de cirurgia são ambientes complexos onde a possibilidade de erros se encontra aumentada devido a inúmeros fatores. Interações complexas acontecem ao mesmo tempo entre diferentes profissionais, múltiplos equipamentos, instrumentos e medicamentos são utilizados, colocando os profissionais que neles laboram mais propensos ao erro. A própria natureza crítica do procedimento pode adicionar 79% a mais de chances de ocorrência de um evento adverso em saúde. O fato de ser um ambiente estéril, torna ainda mais desafiador conseguir analisar o comportamento e estabelecer ferramentas de conscientização robustas entre os profissionais, para melhorar a segurança e a qualidade do cuidado prestado. Por isso, estudos que se voltem a abordar este tema, e trazer pontos que implicam no cuidado coletivo, por saber que segurança do paciente é algo universal e essencial para todos, tornam-se importantes de serem publicados.
Queimaduras: aspectos biopsicossociais, autoestima e imagem corporal pós-trauma
Authors: De Moura-Ferreira Maria Cristina , Silva Luana Pacheco , Tannús Sérgio Ferreira , Lopes Júnior Aldeir Alves , Santos Bruna Kelly Neto , Da Fonseca Nayne Assis Silva Reis , Dos Santos Isabella Cabral , Gondim Bruna Amâncio
Published: January 2024

A queimadura é uma lesão na pele, no qual é o maior órgão do corpo humano e protege o nosso corpo de agentes externos, auxiliando em ínumeros aspectos. Quando ocorre a queimadura, essa proteção é rompida e nosso corpo fica a mercê de agentes maléficos. A depender da gravidade e da extensão da queimadura, o paciente passa por diversas dificuldades, que por vezes são de autoestima, mas que também se relacionam aos aspectos sociais. As dificuldades ocorrem desde as condições para realizar o tratamento da queimadura, pois muitas famílias não possuem nem se quer fatores econômicos para sustentar o tratamento, e ainda precisam lidar com a parte estética da pele, o qual fica danificada após a queimadura. Um paciente que passa por esse processo precisa ser bem assistido, de forma interdisciplinar, desde a parte social até o cuidado em saúde, sendo apoiado por médicos, enfermeiros, advogados, psicológos, fisioterapeutas e outros profissionais. Existem direitos sociais envolvidos neste processo de recuperação, não se remete apenas ao cuidado direto com o ferimento. Desse modo, convidamos você a desfrutar do nosso texto e compreender melhor sobre a temática refletindo sobre a mesma.
Microbusiness Density Forecasting Based on XGBoost
Authors: Guo Xing
Published: January 2024

Modern American business culture heavily depends on microbusiness. Defined as a specific type of small business with an online presence and no more than ten employees, microbusiness faces certain challenges that distinguish it apart from its larger counterparts, including a lack of financial resources, sh279279ort of assistance and concerns from authorities. Recognizing the critical need to understand and support this vital segment of economy, the study will employ advanced machine learning methods to predict the next month’s microbusiness density based on historical time series data set. Specifically, the utilization of XGBoost algorithm is coupled with appropriate feature engineering to create a robust predictive model. Delving into the algorithm structure, anomalies are identified and corrected through data smoothing, utilizing rolling window sum features to capture recent trends, and the process of creating lag features. Manually filtering out anomalies by setting boundaries, this study fits the model using the constructed features to make adequate predictions. On microbusiness prediction, multiple forecasting models are compared and their performance is assessed using a test set that is well-known. The result presents that XGBoost algorithm outperforms traditional time series models when predictions are solely based on previous observations. The approach of the research emphasizes the significance of leveraging cutting-edge machine learning techniques to gain insight into the microbusiness landscape, thereby enabling more targeted support and opportunities for this crucial sector of the U.S. economy.
Photoresist Fabrication for High-NA EUV Lithography: Material and Mechanism
Authors: Xu Herong
Published: January 2024

Extreme ultraviolet (EUV) lithography is critical for the semiconductor industry nowadays. However, high-numerical aperture (NA) EUV systems face challenges in many areas, especially in photoresists. This paper reviews requirements and recent progress in EUV photoresists for high-NA EUV lithography. The key needs for photoresists include high resolution, low stochastic defects, minimal pattern collapse, and high sensitivity. Proposed solutions involve new photoresist materials and mechanisms, such as metal-containing photoresists, non-chemically amplified photoresists and tin-oxo cages photoresists. Basic fabrication and processing procedures are also discussed. Other than photoresists, the weak EUV light source also heavily restrains the development of photoresists. In the future, improvements in EUV light sources and patterning techniques will further help high-NA EUV photoresist development. In summary, the realization of high-NA EUV lithography system depends critically on the breakthrough of photoresists, while solutions are emerging to meet demanding requirements from various directions. Overall, these results shed light on guiding further exploration of next generation lithography.
Implementation of Bigdata Analysis in Banking: Debt Default, Anti-money Laundering, Investment Behavior Forecasting
Authors: Hu Qimo , Li Haoting , Liu Yangning
Published: January 2024

With the development of computer science and technology, people live become more and more convenience. The bank's account security and investment system have also become more and more perfect due to the technology. In our article, we will focus on analyzing debt default system, anti-money laundering system, and investment prediction system. In order to know about the structure and operation of the banking system deeply. After studying and research, we understood the law and trend of global economic development in recent years, including the economic turning down because of COVID-19 from 2021, and the recovery from 2023. Besides, we learned several program systems such as ARIMA, AML and KYC solutions and so on, which can be also used in other business fields. In summary, the meaning of writing this article is not only develop our interests, but also learn more about the technology that touches out lives, So, it will be easier for us to manage our finance and understand the operation rule of society in future.
Current Clinical Application of the CAR-T Cell Therapy
Authors: Cheng Shujun
Published: January 2024

In recent years, the U.S. Food and Drug Administration (FDA) has approved Chimeric Antigen Receptor (CAR)-T cell therapy as a novel approach to treating hematological diseases, including multiple myeloma, large B-cell lymphoma, and B-cell acute lymphoblastic leukemia. Using the patient's genetically altered T-cells, this novel strategy precisely targets antigens linked to cancer. Even with the encouraging outcomes of using bi-specific chimeric antigen receptors to stop tumor antigen evasion, difficulties still arise, especially when dealing with solid tumors. There are several challenges because of the intricate interactions among many elements in the tumor microenvironment, such as immunosuppression, hypoxia, decreased T-cell infiltration, elevated reactive oxygen species, and the erratic nature of tumor-associated antigens. This study examines current efforts to find reliable tumor-associated antigens in an attempt to address issues impeding the efficacy of CAR-T treatment. The fundamental objective is to create CAR-T cells that are economical while being adapted to the distinct characteristics of the tumor microenvironment. By means of a comprehensive analysis of the course of the therapy, the study explores its potential therapeutic uses for a range of tumor types, including solid and hematological malignancies. This work not only sheds light on the enormous obstacles to obtaining precision medicine in cancer treatment, but it also advances our knowledge of the promise that the specific therapy has. The presented results open the door for future developments in the field and provide a nuanced viewpoint on the revolutionary role that the treatment has played in the contemporary cancer scene.
Research on the Option Pricing of Tesla’s Stock Based on B-S Model and Binomial Tree Method
Authors: Wang Huizhe
Published: January 2024

With the announcement of price drop of Tesla’s multiple vehicles during 2022 and 2023, its stock also entered a very unstable age which cause many investors meet significant loss, so did its option prices. In this article, B-S model, Binomial Tree, and Monte Carlo Simulation are implemented to do research on Tesla’s stock price and its call options. The results shows that B-S model has a much lower value of option prices when Binomial Tree does not have multiple division of time period. On the other hand, Monte Carlo Simulation indicates that it would be hard to predict the actual price trend since actual price went to a very low percentile among all simulations. The meaning of this research is to prove Binomial Tree is complementary to B-S model with introduce the concept of time whereas B-S model only uses actual stock prices and calculate the average. Monte Carlo Simulation also warns the investors to continue to pay attention to the news and incidents happened around the companies they invested to.
Technological Advancements and Consumer-Centric Transformation: The Evolution of Online Shopping Platforms
Authors: LI LOK CHING
Published: January 2024

In today's rapidly evolving Internet era, online shopping platforms are increasingly adopting new technologies and innovative marketing strategies to optimize spending and increase profits. Integrating emerging advertising media has led to faster and more effective product promotion strategies, helping to spread products rapidly. However, using big data sometimes raises concerns about potential information leakage and privacy invasion, through which sellers can access customers' sensitive personal information. This study provides insight into how online shopping platforms utilize emerging technologies to improve the customer experience and increase sales and advertising effectiveness. By analyzing how new technologies such as virtual reality (VR) and augmented reality (AR) are transforming product presentation and shopping experience, this study reveals how online shopping platforms enable more immersive and interactive environments that allow customers to understand and experience products fully. Virtual fitting rooms and 3D simulation displays of products provide customers with a unique shopping experience that helps increase engagement and reduce uncertainty in virtual shopping. In addition, this study looks at the use of big data in online shopping and explores how it affects customer experience and advertising strategies. However, using big data raises questions about privacy and data security, with customers concerned that their sensitive information may be misused.
Research on the data-driven marketing: Case of Huawei
Authors: Yu Yue
Published: January 2024

The ubiquity of the internet and the pervasive interconnectedness of our digital lives have led to an unprecedented surge in user-generated data. This deluge of data, often referred to as the "new oil," presents businesses with a vast reservoir of opportunities to gain profound insights into their customer base. Huawei has recognized that within this vast data landscape lies the power to craft marketing strategies and product innovations that deeply resonate with their audience. In essence, Huawei's journey through the realms of data-driven marketing and target marketing serves as a guiding star for other businesses navigating the digital age. Their unwavering commitment to harnessing data for enhanced customer engagement, amplified market competitiveness, and the enduring sustainability of their brand underscores the transformative power of data. This article serves as an illuminating case study, offering a roadmap and a wellspring of inspiration for companies striving to thrive in the data-centric landscape of the digital era. In a world of boundless possibilities, Huawei's story stands as a testament to the notion that data is not merely a resource; it is the very foundation of innovation and growth in this transformative era.
Challenges And Solutions in Rare Disease Treatment: Value-Based Healthcare
Authors: Tao Zixu
Published: January 2024

This study is based on the realities of challenges within the field of rare disease treatment, as well as the concept of value-based healthcare. By analyzing treatment plans, rehabilitative care, cost-sharing, prospects for drug development markets and investment returns, as well as policy support, the paper delves into the complexities and diversities of rare disease treatment. Within the research, the focus is on the challenges of rare disease treatment, leveraging the principles of value-based healthcare. It discusses how personalized treatment plans, interdisciplinary collaboration, and reasonable cost-sharing can enhance patient treatment outcomes and quality of life. The article employs methods such as literature reviews and case analyses to deeply explore and analyze rare disease treatment from various angles. The research findings indicate that personalized treatment plans and interdisciplinary collaboration can significantly enhance treatment outcomes and quality of life for rare disease patients. Reasonable cost-sharing models and trends in drug development markets present opportunities for the sustainable growth of the rare disease field. Additionally, policy support and international cooperation mechanisms play vital roles in advancing rare disease treatment. Based on these research findings, the article proposes future research prospects, including strengthening data collection and analysis, deepening international collaboration, and optimizing drug development strategies.
Study on the Impact of the Aviation Industry in the Post-Epidemic Era and its Causes and Solutions
Authors: Luo Jingyi
Published: January 2024

Since 2020, the COVID-19 outbreak, the biggest 'black swan' event of recent years, has been spreading rapidly around the world, with serious consequences for the world economy, livelihoods, and various industries. One of the most severely affected sectors has been aviation, as travel restrictions, blockades, and quarantines have led to a sharp decline in air traffic. Firstly, this paper systematically analyses the impact of the epidemic on the aviation industry from four perspectives: society, industry, companies and employees, and analyses the specific causes of the impact. This paper then proposes measures for national, and regional governments, industries, and enterprises to cope with the post-epidemic era and help the aviation industry to overcome the crisis through multiple efforts. Finally, this paper provides an outlook on the aviation industry in the post-epidemic era. Despite the persistence of the epidemic, the aviation industry has started to recover gradually. In the future, technological developments and the implementation of new travel policies will change the face of the aviation industry. These changes also bring new challenges and opportunities that will require a joint response from the state, government, the aviation industry and aviation companies, which will be an important insight into the future development of the aviation industry.
The maximum drop height of high-altitude parachuting based on dynamic and thermodynamic analysis
Authors: Liao Yijie , Peng Jiangshan , Gao Yufei
Published: January 2024

This paper explores the maximum possible initial height for skydiving, taking into account the physical and biological constraints of the sport. It develops the dynamic and thermodynamic models of the skydiver before and after deploying the parachute, and uses numerical methods to obtain the optimal parameters for safe landing. It also examines the thermal properties of the protective suit and the maximum heat it can endure. The paper demonstrates that the initial height does not affect the landing speed, and that the heat generated by the fall is within the tolerable range of the skydiver. The paper shows that the key factor for determining the maximum skydiving height is the thermal resistance of the protective material, rather than the conventional dynamic considerations. The paper concludes that the highest height that can be skydived is 45400 meters, the opening height is 3000 meters, and the landing speed is 6.32 m/s. This paper provides a novel perspective on the physics and engineering of skydiving.
Analysis the Economic Recovery Strategies in China in the Post-Epidemic Era
Authors: Cheng Chuwei
Published: January 2024

The outbreak of novel coronavirus pneumonia has seriously damaged the global economy. Blockades and quarantine measures have caused the country's production activities to almost halt, supply chain disruptions, business closures, and reduced employment. Globally, nations have implemented monetary easing and fiscal stimulus measures to boost their economies. However, these measures may lead to inflation and debt crises. The tense geopolitical situation has exacerbated the dilemma of global governance. This article takes the post pandemic era as a research perspective and focuses on discussing complex economic measures. Taking the application strategies of countries during the Great Depression as an example, this study explores the relevant policies for China's economic recovery in the post pandemic era. The research results indicate that addressing economic recession requires a thoughtful combination of historical lessons and innovative solutions unique to contemporary challenges. The research results of this article have important practical significance for future economic development.
Advancement In Neuroplasticity Trainings in Multiple Fields Since 2018
Authors: Yang Jonathan
Published: January 2024

Neuroplasticity training is a rapidly growing practice that has great potential in the treatment of neurological diseases and disorders. This review aims to discuss the advancements in neuroplastic training in the form of motor, auditory, and other training methods. Neuroplastic training has seen promising results in patients encompassing a wide range of ages and conditions. Improvements in parameters such as executive function, gray & white matter, neuronal connectivity, neuron excitation, mini mental state examination (MMSE) score, activities of daily living (ADL) score, and others were observed.  The training methods and results are summarized and organized into a table in the review.
Analysis and Prospect of capital management of Listed Companies in the United States -- Taking Walt Disney Company as an example
Authors: Zhou Ruohan
Published: January 2024

Under the impact of the COVID-19 pandemic in 2020, the global economy is facing significant downward pressure. Many industries have been hit to some extent, including the entertainment industry. At the same time, cash flow management, as a very important part of financial management, the quality of its management directly affects whether the enterprise can meet the market demand and develop smoothly. Walt Disney Company, as an enterprise established for 100 years, plays an important role in the entertainment industry. Its industry is comprehensive and representative, which can reflect the development and trend of the industry to a large extent. This study will analyze and predict the cash management and cash flow of Walt Disney Company. By focusing on the company's business adjustment and business development trend, as well as the financial data with ARIMA model and graphs of the past 17 years, the prediction of the company's future cash flow can be made, and the future development of Walt Disney Company can be determined. These questions will be of great significance for judging the development of the entertainment industry in the future.
Collaboration while driving: how sharing communication affects driving efficiency
Authors: Ma Jun , Huang Saiyi
Published: January 2024

Increasing of the current development of autonomous driving makes communication in the vehicle more frequent while allowing interaction between the driver and the co-driver to be not only limited to verbal communication but also reflected in the in-car HMI. However, in the current autonomous driving stage, drivers still need to focus in driving primarily, which leads to the driver is prone to driving distractions when interacting with passengers via HMI. This paper focuses on discovering the main factors that affect driving performance when drivers interact with co-driver sharing HMI information. In order to figure out how factors related to driving effects, we conducted two different tests with comparable designs from both objective and subjective ways. We recorded and calculated their driving behaviors and satisfaction levels, and provide some suggestions for creating an interaction principle in the HMI collaboration system.
Exploring Autism Spectrum Disorder in Genetic Perspective Review
Authors: Dun Xiangyu , Shi Diwen , Xu Jiarui
Published: January 2024

Autism in children is a common mental and behavioral disorder in pediatrics, and the incidence is increasing year by year, but the pathogenesis of autism has not been clear, and there is no specific drug. At present, the number of autistic groups in China is still growing, which brings great pressure to families and society. In recent years, public awareness of autism has significantly increased, thanks to the dissemination of knowledge in professional journals and the widespread use of social media. As a result, professionals in the fields of psychology and biology are increasingly using the term 'autism spectrum disorders' (ASDs) to describe this conditio. This paper aims to explore the ASD in genetic perspective which include several ways to diagnose ADS, introduction of different type of symptoms such as Rett syndrome or Asperger's syndrome, also giving variety causes both in genetic and nurture factors and some conservative therapy recommendations such as some drugs therapy.
Impact of quantitative easing on the U.S. economy
Authors: Wang Ziyang
Published: January 2024

The US economy is facing instability due to high inflation and high credit card debt. Central banks have adopted quantitative easing (QE) as a monetary policy tool to promote economic growth and reduce the risk of deflation. QE measures originated from the 2008 global financial crisis to counter the threat of recession and deflation. This paper examines the impact of quantitative easing on the U.S. economy in four stages through data, image analysis and collection of related literature. Quantitative easing is a high-risk monetary policy. However, while quantitative easing stimulates the economy by lowering interest rates, it can also lead to inflation and borrowing pressures. This paper applies a combination of qualitative analysis and quantitative analysis, has been about the theory of monetary policy on the basis of the process of successive QE is summarized, and the Federal Reserve's aggressive interest rate hikes in the past two years to review. Finally, this paper analyzes the impact of QE, an unconventional monetary policy on the economy, and analyzes the future forecast. The research in this paper can be a certain reference for the monetary policy to cope with the crisis and unconventional situations.
Comparison of Portfolio Optimizations under Markowitz Model in Technology Sector and Financial Services Sector
Authors: Ji Xinyue
Published: January 2024

In the period of Covid-19, different sectors received different levels of shocks, which gave investors a degree of caution when investing in various sectors. Therefore, portfolio optimization - using specific model to assign weights of stocks to achieve a higher return while reducing risk – becomes a popular strategy. This paper chooses the Markowitz model to find optimal sector-based portfolios, specifically in technology sector and financial services sector, as well as portfolios that contains stocks in both sectors. The study uses Python to do Monte Carlo simulation, finding two optimal portfolios with maximum Sharpe ratio and minimum volatility for each sector(s), and finally comparing performances to test if the sector-based portfolio works better than the inter-sector portfolio. According to results, the minimum volatility portfolio in combined sectors reaches the same return of 0.11 as the minimum volatility portfolio in technology sector, but with lower volatility. It means the inter-sectors portfolio is better off when seeking minimum volatility. On the other hand, the maximum Sharpe ratio portfolios in technology sector, financial services sector, and combined sectors have values of returns and volatility ordering from highest to lowest. As a result, with current information, without investors’ investment preference, the optimal maximum Sharpe ratio portfolio cannot be determined and needed further exploration.
The Multi-Purpose Robot Controlled via VR
Authors: Bi Wenhao
Published: January 2024

There are still many high-risk industries in society, so it is very important for robots to replace humans to complete these tasks. However, existing robotics are often unable to perform simple operations, limiting their widespread use in society. This study proposes a robot control method based on VR (Virtual Reality) technology, which provides new ideas for solving the difficulties of robot operation through remote control. The production process of this method is mainly divided into two parts: programming and mechanical structure design. In terms of mechanical structure, the project is divided into the body of the robot and the part of the operator. Through this design, the operator can operate the robot remotely. In the end, the project has been verified and achieved good results. By using VR technology to realize remote control of robots, the difficulty of operation is greatly reduced and the application of robots in high-risk industries has been improved. This research provides new ideas and solutions for the application of robotics in high-risk industries.
Theoretical Research on Real Estate Tax and Land Property Rights in Capturing Land Value
Authors: Qiu Manxiu
Published: January 2024

This theoretical research paper explores the relationship between real estate tax policies and land property rights in the context of capturing land value. It discusses international perspectives on property taxation, case studies of land value capture policies, and their implications for property owners and governments. The paper also delves into how property rights influence land value, the role of property rights in land use planning, and the impact of land use regulations on land value capture. The empirical analysis section includes a study sample, data sources, regression analysis of real estate tax effects, and case study analysis of property rights and land value. The discussion section interprets the empirical results, offers policy recommendations, and highlights limitations and future research directions. The conclusion summarizes the findings, their contributions to land economics, and final remarks.
Automatic Pricing and Replenishment Strategy Model of Vegetable Commodities
Authors: Wu Yang , Jia Tianci
Published: January 2024

In the fresh supermarket, the general vegetable goods as a short shelf life and rapid deterioration of products, its inventory loss is very serious. In the process of sales, its quality tends to deteriorate with the increase of sales time. In view of the short shelf life of fresh products, this paper establishes an automatic pricing and replenishment decision model of vegetable commodities based on prediction and optimization algorithm. Through the historical sales and demand replenishment of each commodity, the distribution law and mutual relationship of vegetable categories and individual products are analyzed, and the future pricing and replenishment plan of supermarket is formulated. At the same time, it looks forward to the future, and puts forward some opinions on the decision-making process of profit maximization.
Study on Deployable Antenna Technology in Space
Authors: Li Ziyan
Published: January 2024

Antennas play a pivotal role in modern communication, navigation, and remote sensing systems. With the development of space antenna, various kinds of deployable antennas have emerged. The deployable antenna can be folded into a small volume, significantly reducing the space and payload requirements for rocket launches. The commonly used techniques are inflatable deployable antennas, umbrella deployable antennas, memory alloy deployable antennas, and so on. Antenna deployment in the space environment, however, presents a unique set of technical challenges due to the harsh conditions of space, including microgravity, extreme temperatures, and radiation. A comprehensive overview of the current three distinct types of deployable antenna technology has been presented in this paper. Their characteristics, advantages, and applications are analyzed. Moreover, this paper also illuminates the numerous difficulties that scientists and engineers encounter while designing and deploying antennas, providing insights into potential directions for future advancement in this area. This paper may offer a reference for the development of deployable antennas.
Research on Vehicle Hydrodynamic Turbine Atomization System Based on Single Chip Microcomputer Technology
Authors: Zhu Guoqing
Published: January 2024

A new type of mass flow detection technology for vehicle twin turbines with swirl correction characteristics is introduced. The basic structure, the principle of the moment of momentum and the realization process of the technology are introduced. The improved scheme of the second turbine under unsteady flow condition is presented. According to the principles of fluid dynamics and turbomachinery, the vehicle turbine atomizer is optimized by using Concepts NREC software. Using this scheme can not only save the development cost, shorten the development period, but also improve the stability and reliability of the equipment.
Application Of Blockchain Technology in Product Supply Chain
Authors: Zhou Yikai
Published: January 2024

Nowadays, people's consumption level continues to increase, and the industrial supply chain needs to be continuously upgraded and improved to cater to market demand. This process has also gradually exposed some shortcomings of the traditional industrial chain, such as opaque information, non-traceable product sources, and difficulty in inventory management by enterprises. , the market is flooded with a large number of substandard products, making it difficult for consumers to protect their legitimate rights and interests, etc. However, when the emerging blockchain technology is applied to traditional industrial chains, people find that it solves many pain points in traditional industrial chains. Blockchain is a distributed ledger technology with multiple nodes distributed in the network. Each node records the same data and jointly maintains and records transaction records. Through blockchain technology, consumers can trace the source of products, companies can trade goods more safely, factories can manage inventory more conveniently, and prosecutors can also supervise the industrial chain more conveniently.
Netflix Stock Price Prediction: A Comparison of Linear Regression, k-Nearest Neighbor, and Decision Tree Methods
Authors: Pang Jiawei
Published: January 2024

The implementation of stock prediction has become a major popular topic. However, the effectiveness of different machine learning methods for stock prediction tends to vary. Linear regression, k-Nearest neighbors, and decision trees are three basic machine learning algorithms and are frequently used in the practice of stock prediction. This paper proposes these three methods and compares the effectiveness of applying them to predict the stock price of Netflix by evaluating the mean absolute error (MAE), mean squared error (MSE), and coefficient of determination (R-squared). The results of these three methods all display promising predictions, but the linear regression model tends to outperform in this Netflix prediction attempt. This prediction practice finds patterns and trends in past data so as to help investors make more informed decisions in the volatile financial market.
Antidepressant Effects and Potential Targets of Deep Brain Stimulation
Authors: Wu Yushi
Published: January 2024

A serious health issue that affects people all over the world, severe depressive illness is linked to intricate neuronal circuits and neuromodulatory systems. Millions of people are affected by its increasing frequency, which places a heavy economic strain on society. Innovative methods are required because of the drawbacks of standard therapies, such as antidepressants and invasive operations. Deep brain stimulation has shown promise in the treatment of Major Depressive Disorder (MDD) since it is minimally invasive and has the opportunity for personalised care. Finding the best sites for deep brain stimulation is still difficult, though. Recent innovations, such brain biomarker-based Deep Brain Stimulation (DBS) device customization, offer fresh approaches to enhancing therapeutic effects. The present status of DBS for MDD is discussed in this study, with a focus on prospective target regions such the subcingulate colliculus (SCG), medial forebrain bundle (MFB), and bed nucleus of striatal terminal area (BNST). Modern methods like functional connectivity analysis and probabilistic stimulus mapping show probable brain regions linked to therapeutic improvement.
Preserve the Past, Embrace the Future: Exploring the Integration of Virtual Reality Technology and Traditional Chinese Art
Authors: Sun Jiadong
Published: January 2024

Integrate smart VR technology with traditional culture to realize the modern dissemination of traditional culture through immersive VR technology, allowing for greater audience immersion in the cultural allure of traditional Chinese culture. The combination of VR technology and traditional culture can give the audience more in-depth contact and understanding of traditional culture, producing more intense interest. This article takes traditional art as the starting point and studies the combination and application of VR technology in Chinese traditional art from the perspective of the combination of VR technology and traditional art to the development of modern virtual display. With a focus on the analysis of VR in the application of the immersive and multi-sensory as well as strong interactivity, this paper discusses the use of virtual reality technology in the dissemination of traditional Chinese culture in the new media era from the perspectives of painting and architecture. It also examines the value of the application of VR in the dissemination of cultural interaction.
Recent Advances in Bridge-Less Power Factor Correction Converter
Authors: Wang Binkai , Wang Shitong , Yu Xinyan
Published: January 2024

Power Factor Corrector (PFC) is a device used in electrical systems to improve power efficiency by reducing reactive power and harmonics, resulting in a higher power factor and reduced energy consumption. It enhances the utilization of electrical networks and minimizes wastage of power resources.This paper reviews the current research on the new bridge-less PFC converter, firstly comparing and analyzing seven configurations and control strategies of traditional Boost, bridge-less Boost, bi-directional switched bridge-less Boost, Pseudo totem bridge-less Boost, dual diode bridge-less Boost, and five-level flying across capacitor bridge-less, and then discussing the characteristics of the bridge-less PFC based on the practical application of the GaN power device. Through the study of bridge-less PFC converter, this paper discusses its advantages and applications in depth, and provides technical support for the realization of high-efficiency, stable and sustainable energy conversion, so as to better promote the development of the energy field.
Preface: 3rd International Conference on Green Environmental Materials and Food Engineering (GEMFE 2023)
Authors: Anderson Hermosa , Li Cunxu
Published: January 2024

We gratefully acknowledge the presence of all participants on the 2023 3rd International Conference on Green Environmental Materials and Food Engineering (GEMFE 2023), which was successfully held during November 25-26, 2023 in Rome, Italy. GEMFE 2023 aimed to provide a platform for experts, scholars, engineers, technicians, and R&D personnel to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research, and promote cooperation in the industrialization of academic results.

GEMFE 2023 will bring together innovative academics and industrial experts in the fields of environmental engineering, energy technology, green materials, chemical science, agricultural technology, and food engineering to a common forum. About 80 participants from academic, high-education institutes, and other organizations took part in the conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.

I would like to express special gratitude to members of the conference committee and organizers of the conference. I would also like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings.

GEMFE 2023 Conference Organizing Chair

Rome, Italy
The Determinants of Venture Capital Investment Decisions
Authors: Wang Guoan
Published: January 2024

Venture capital is pivotal in contemporary economic landscapes, as a critical intermediary in funding nascent or expanding young enterprises. This study delves into the intricate interplay between economic growth, research and development (R&D) expenditures, population density, and the aggregate volume of venture capital investments. The primary objective is to enrich the existing knowledge regarding the factors influencing venture capital allocation. Employing a rigorous fixed-effect model, this research unveils a noteworthy and substantiated positive association between population density and the magnitude of venture capital injections into the entrepreneurial ecosystem. In a rapidly evolving global economy, where innovation is a cornerstone of progress, understanding how population density influences venture capital investments assumes paramount importance. Beyond the well-documented relationship between economic growth and venture capital, this study sheds light on the nuanced impact of population density, accentuating its role as a vital determinant in attracting venture capital funding. This research thus extends the frontiers of knowledge in the field of venture capital. It provides valuable insights for policymakers, entrepreneurs, and investors, offering a more comprehensive understanding of the multifaceted dynamics shaping the venture capital landscape. As the global economic landscape continues to evolve, recognizing the influence of population density on venture capital investments serves as a crucial step toward fostering innovation and sustainable economic growth.
Competitive Strategies of New Energy Vehicle Enterprises: Taking BYD as an Example
Authors: Huang Lang , Liu Hanrao , Qu Tianjian
Published: January 2024

The new energy automobile industry is experiencing rapid growth, with BYD emerging as a prominent player due to its market competitiveness and innovation capabilities. This study focuses on BYD’s development of new energy vehicles and analyses its competitive strategy. BYD is featured by its vertical integration model, focusing on technological innovation and independent research and development. It has a high potential for development under the domestic conditions of large market size and rapid technological development. Through SWOT analysis and the construction of Porter’s Five Forces model, this thesis points out the importance of cost control, development and innovation, and expansion of user scale of this company. In addition, this paper analyses the company’s aspects that need to be improved and puts forward corresponding suggestions for improvement. This thesis aims to provide suggestions and references for the development of BYD’s new energy vehicles and hopes to promote the further development of China’s new energy vehicles.
Preface: 2nd International Conference on Business Management, Marketing and Foreign Trade (BMMFT 2023)
Authors: Timothy Anastasia , Zhao Gang
Published: January 2024

The 2023 2nd International Conference on Business Management, Marketing and Foreign Trade (BMMFT 2023) has been held during September 02-03, 2023 in Frankfurt, Germany. BMMFT 2023 aims to provide an excellent interdisciplinary platform for researchers, practitioners, and educators to show and discuss the latest trends and concerns in the fields of economics, business, marketing management, and foreign trade, as well as the practical challenges encountered and solutions adopted.

The key intention of BMMFT 2023 is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts of the world. In addition, this gathering will help the delegates to establish research and/or business relations and linkage for future collaborations in their career path. We look forward to seeing you again next year.

The Committees of BMMFT

Frankfurt, Germany