bluuebunny/crossref_metadata_2025 huggingface dataset:
Preface: 2nd International Conference on Economics, Mathematical Finance and Risk Management (EMFRM 2023)
Authors: Bennett Randolph , He Yong
Published: January 2024

The 2023 2nd International Conference on Economics, Mathematical Finance and Risk Management (EMFRM 2023) was successfully held during December 02-03, 2023 in Dubai, United Arab Emirates. This conference aims to bring together innovative scholars and experts in economic system, business statistics, mathematical finance, corporate governance, and risk management in a common forum. The main objective of EMFRM 2023 is to promote economic development research, another objective is to facilitate the exchange of scientific information among researchers, developers, engineers, students, and practitioners around the world.

We are confident that the participants benefited from the theoretical insights, practical knowledge, and personal contacts that will help them to build a long-term and sustainable communication among researchers and practitioners in related scientific areas. EMFRM 2023 invited scholars and experts from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields, aims to provide an international cooperation and exchange platform for experts, scholars, and business managers to share their research achievements. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the special committee.

EMFRM Organizing Committees

Dubai, United Arab Emirates
An Examination of Education's Economic Influence from a Family Perspective
Authors: Tao Xiaoke
Published: January 2024

This paper holds that education, especially family, is of great significance to economic development. This study explores the relationship between family and education through the consideration of family fertility, health index and the differences between Chinese and American education. The study finds that education and family are two indispensable elements in human society: education is an important way to shape talents, and family is the most primitive and closest social unit. The close connection between the two forms a mutually reinforcing relationship, and both serve the same goal - shaping and nurturing the outstanding young generation. Education has an indirect effect on the economy by changing parents' attitudes towards childcare. Also, the paper argues that higher levels of education not only directly lead to higher productivity, but also indirectly lead to economic improvements and higher health outcomes. Using a wide range of data sources and empirical methods, the study assesses how educational attainment within family structures affects socioeconomic mobility, earning potential, and overall financial well-being.
Research on E-Commerce Commodity Demand Forecasting and Inventory Optimization Based on Time Series Forecasting Model
Authors: Li Jing , Li Wen , Hao Ruixuan , Li Rui
Published: January 2024

In this study, 1996 sets of time series data are extracted from the three dimensions of merchant, warehouse and commodity, and the outliers are removed using the 3σ criterion. Through visual analysis, it was found that home improvement building materials and food and beverages were popular commodities. Then ARIMA and LSTM models were used to forecast the demand. Through 1-wmape index evaluation, LSTM model was found to perform better. Finally, the K-Means cluster analysis is carried out based on the categories of goods, merchants and warehouses, and the cluster number is selected as 70. The cosine similarity method is used to match the newly added dimensions to the category of the cluster in problem 1, and the ARIMA model is used for prediction. The results show that the cosine similarity method can accurately predict the commodity demand, the 1-wmape index is 0.801, and the residual plot presents randomness. The data of November 2022 is added to the original data, and the missing data is processed by linear interpolation. The LSTM model was used to forecast the increase of the total demand during Double 11. By setting a periodic time series with a step size of 30, the model achieves a good accuracy in predicting the demand in June, with a 1-wmape index of 0.829. To sum up, this study comprehensively considers three dimensions of merchants, warehouses and commodities, and uses different models to make accurate predictions. The ARIMA and LSTM models are adopted, while the promotion characteristics are considered and the appropriate LSTM parameters are selected. The research results provide practical forecasting tools and methods for supply chain management.
Draft Of Bacteriophage Therapy Review
Authors: Xu Anqi
Published: January 2024

Phage therapy, which uses bacterial viruses (bacteriophages) to treat bacterial infections. In recent years, the issue of antibiotic resistance in various bacteria has become prominent, and the effectiveness of antibiotic drugs has generally declined, which has re raised people's scrutiny of bacteriophage therapy. Traditionally, bacteriophage therapy relies on the use of natural bacteriophages to infect and dissolve bacteria at the site of infection. Current research on the use of bacteriophages and their lytic proteins to combat multidrug-resistant bacterial infections suggests that bacteriophage therapy may serve as a substitute or supplement to antibiotic therapy.
Internet Celebrity Economy and College Students' Consumption Behavior
Authors: Liu Keliang
Published: January 2024

The "Internet celebrity economy" is a flourishing business model within the digital economy that began to emerge around 2015. Stimulated by the ever-expanding Internet-driven economy, this influencer marketing-based strategy exhibits significant resilience across social media platforms. Engaging with numerous niche markets, the "Internet celebrity economy" persists, attracting various sizable investment opportunities and leaving a lasting impact on the present market for the next generation to inherit. Among the most notable emerging demographics who are sensitive to new things, university students have played a substantial role in propelling the "Internet celebrity economy" forward. Their consumption behavior, however, is influenced by a multitude of intangible factors and marketing strategies. This comprehensive paper provides an in-depth exploration of the concept of Internet celebrities, talk about the evolution of the Internet celebrity economy, analyze its unique business model, draw comparisons with traditional advertising strategies, delve into the intricate relationship between college students and Internet celebrities, discuss positive and negatives effects behind Internet celebrity economy, and finally, proposing potential solutions to address prevailing issues in the online business industry.
Comprehensive Analysis of Vienna Rectifiers for Renewable Resources
Authors: Xu Shaobo
Published: January 2024

The issue of energy has emerged as a significant subject of concern in contemporary discourse. The significance of the advancement of novel energy sources is progressively growing. Relevant strategies should aid in the advancement of power electronics. The rectifier is a commonly used electronic component that finds application in many circuits involving electronic equipment. Its primary function is to convert alternating current into direct current, which is then supplied to the load. The Vienna rectifier is a widely used rectifier that has garnered significant attention and scrutiny from professionals in the field of power electronics on a global scale. This article begins by illustrating the use of power electronics technology, specifically focusing on the charging pile circuit. It proceeds to discuss the classification and current research status of rectifiers. Subsequently, the article provides an overview of the circuit layout and operational principles of the Vienna rectifier circuit. This section provides an overview of the approaches and features used to optimize the operating performance of Vienna rectifiers in four key areas: current control, voltage control, neutral point voltage balance management, and harmonic stability control. This research will ultimately provide a forecast about the future development trend of Vienna rectifiers, together with a comprehensive overview of all improvement attempts.
Research on the Application of Smart City Super Brain in the Upgrading and Reconstruction of Expressway—Take Chengdu Old Chuan-Zang Road as an Example
Authors: Lyu Jinze , Wang Yixuan , Yang Li
Published: January 2024

This paper explores the smart city super brain traffic flow prediction method. Through monitoring and studying the traffic volume and average speed of related intersections in the morning and evening peak hour and one normal hour, a total of 7413 data are collected, of which 5930 are used as training sets and 1483 are used as test sets. Long short-term memory network (LSTM) method is used to predict the changes of traffic flow at important traffic nodes along old Chuan-Zang Road in Chengdu and the changes of vehicle speed at typical time of one day. The predicted results are highly coincident with the actual data, which proves the accuracy and effectiveness of the model. According to the predicted results, through the simulation analysis of the transformation scheme of important nodes, the traffic operation of the study section before and after the transformation is evaluated. The results show that the average delay of vehicles is reduced by 23.82% compared with that before the transformation, and the pollutant emission and fuel consumption are also significantly reduced. LSTM, with its unique advantages in processing sequence data and solving long-term nonlinear problems, provides algorithms and basis for urban road upgrading.
The Flash Crash: The Impact of High-Frequency Trading on the Stability of Financial Market
Authors: Gu Pengfei
Published: January 2024

The growing prevalence of High-Frequency Trading (HFT) in financial markets has sparked intense debate over its impact on market stability. This paper aims to research the adverse effects that come along with HFT's enhancement of liquidity and price discovery efficiency. It contrasts the hardware infrastructure and execution speeds of high-frequency automated trading against manual trading and analyzes how the liquidity bubbles provided by HFT contribute to market volatility. This paper then concludes with three main points. First, HFT can pose a threat to market stability. Second, specific HFT strategies may mislead other market participants and lead to price distortions. Lastly, HFT may exacerbate market participation inequality, posing a market fairness challenge. Based on these findings, this paper recommends that regulatory authorities and policymakers pay closer attention to the potential risks of HFT and implement measures to maintain market stability and fairness.
The Efficacy and Safety Difference Between Daridorexant and Suvorexant
Authors: Chen Haowei , Fei Haoran , Feng Yixuan
Published: January 2024

The prevalence of insomnia is rising in today's culture under the influence of many factors. However, experts have long been concerned about the negative consequences and effects of hypnotic medicines. Currently, more and more researchers are focusing on the effects of drugs that target orexin receptors on sleep. Both daridorexant and Suvorexant are two effective dual orexin receptor antagonists in treating insomnia. According to the data collected from Google Scholar, JSTOR, NCBI, and PMC, the comparison of the effectiveness and the abuse potential between daridorexant and suvorexant is concluded. Suvorexant already is a common medicine for patients. The best dose for suvorexant is 30/40mg. Suvorexant has some unserious side-effects like nasopharyngitis. Daridorexant is a relatively new drugs that just enter the market in 2022. It has more function than Suvorexant like improving day-time function and sleep structure. The best dose for daridorexant is 50 mg. Daridorexant has unserious side-effects like fatigue and somnolence.
Explore the Risk Factors and Market Performance of American Animation Companies Represented by Walt Disney
Authors: Lu Jiangshan
Published: January 2024

After the world economy entered a relatively complex and changeable environment in the 21st century, it has brought significant impact to various industries, including the animation industry. The American animation market, as one of the world's largest animation markets, has the most influential animation companies, which well reflects the problems and future prospects of the animation industry. This article conducts a financial analysis of Walt Disney's financial status and market performance in 2022-2023, and summarizes its internal risk factors and external possible impacts, development strategies, and prospect planning. Also give Disney and other American animation companies an analyst to prospect and put forward relevant development strategy reference, for most small and medium-sized companies, reasonably absorbing Disney's successful experience and optimizing their own development strategy is the key to sustainable development. This article is more based on the analysis behind the data in the financial statements, collates and analyzes the possible risk factors, which is of reference value to investors and shareholders, and the evaluation of Disney also provides a good direction for the company's development.
Can Green Finance Policies Have Impact on Brown Sector Stocks?
Authors: Yang Linfeng
Published: January 2024

In recent years, in response to climate change, China has introduced a series of green finance policies to support the low-carbon transformation of the economy, which may have a negative impact on the brown industry while promoting the development of green industries. This article uses the event study methodology to study the impact of the introduction of three typical green finance policies on the returns of brown industry stocks. The results show that there is consistency in the effects of different types of policies on brown industry stock returns. Overall, Green finance policy has a strong negative impact on the stock returns of brown enterprises in the short term, but has a significant positive impact on those enterprises with good financial performance in the long term.
Comparison Of Two Encoding Methods in RAID6 Storage Architecture and Analysis of Improvement of EVENODD Encodings
Authors: Wu Pengyang
Published: January 2024

This paper provides a comparative analysis of two widely used error correction codes: RS (Reed-Solomon) and EVENODD. The analysis covers principles, algebraic forms, computational complexities, minimum Hamming distances, decoding processes, and specific application scenarios. RS encoding is known for its versatility, allowing for the flexible addition of parity symbols. However, it comes with a high computational cost due to polynomial evaluations. On the other hand, EVENODD encoding offers simplicity and computational efficiency through mere XOR operations but has limitations on the number of parity symbols it can generate. The paper explores the algebraic representations of both codes, discusses their minimum Hamming distances, and evaluates their decoding processes. Additionally, it analyzes the computational requirements of EVENODD under small write operations and provides a comprehensive comparison of the computational complexities of RS and EVENODD, aiding practitioners in choosing the most suitable error correction scheme for specific applications. A seeming limitation in our building process is because of the number of information disks must fall into a prime number. Nevertheless, if the preferred quantity of data sectors isn't a prime number, we can easily posit the existence of additional disks filled entirely with zeros, and this won't impact the encoding and decoding procedures.
Preface: 4th International Conference on World Economy and Project Management (WEPM 2023)
Authors: Masefield Darnell , Lin Quanli
Published: January 2024

The 2023 4th International Conference on World Economy and Project Management (WEPM 2023) was successfully held from 04 to 05, November, 2023 in Singapore. This conference is the premier forum for the presentation of new advances and research results in the fields of world economy, economic policy, financial investment, project management, innovation management, e-business management, and social science. The events brought together researchers, scientists, experts, and scholars from various areas to discuss problems and solutions in these fields, to identify new issues, and to shape future directions for research.

WEPM 2023 was composed of 3 sessions with 6 keynote speeches and 27 oral reports presented in this conference. Each keynote speech and oral report took 20-30 minutes and 5-10 minutes, respectively. All papers included in the conference proceedings were peer reviewed according to international standards.

We would like to deeply acknowledge all the parties involved in making WEPM 2023 successfully held. Besides, we wish to thank all authors and participants for providing their valuable contributions for this proceeding as well as the reviewers for their constructive recommendations and criticism aiding to improve the presented papers.

With best regards,

WEPM Conference Organizing Committees

Singapore
Drug Discovery and Development of Lecanemab
Authors: Xiong Beiqi
Published: January 2024

Alzheimer's disease is one of the most prevalent types of senile dementia; the patient's thinking, memory, and independence will be compromised; the patient's quality of life will be impacted; and the patient may even pass away. As the disease becomes more prevalent in today's society, the financial burden on healthcare providers also rises; The beta-amyloid (Aβ) cascade hypothesis is A widely recognized mechanism of AD, and the imbalance between the overproduction and clearance of Aβ is the initial event leading to neuronal degeneration and dementia. The discovery and development of Lecanemab has brought new hope to mankind. By researching and sorting out relevant experiments and literatures, we have explored the discovery of drugs, preclinical research, clinical research, drug development and its impact on biomedicine, and obtained some directions for future research. Lecanemab can significantly slow down the rate of cognitive function decline, promote the basic research and drug therapy research and development related to AD, and also has important implications for the research and development of future drugs, promote the innovation and progress of the pharmaceutical industry, and is expected to become a new drug for the treatment of AD.
Research and Implementation of a Novel Elevator Speed Limiter Test Device
Authors: He Yang , Lv Xiao , Zaxi Nima , Chen Zhonggeng , Jia Haijun , Su Jun
Published: January 2024

According to the requirements of GB/T 7588.1—2020[1],the operating speed and tensile force of the elevator speed limiter need to be measured.Under the actual operating conditions,the operating speed and tensile force of the speed limiter are generated simultaneously,and the process is generally completed within 2 seconds.The traditional test method is to measure these two parameters separately,which is time-consuming and inefficient.In particular,it cannot fully reflect the force condition of the speed limiter rope under the actual operation condition.Aiming at above problems,in this paper,a new type of elevator speed limiter test device is designed.By constructing a torque dynamic compensation model,the action process of the speed limiter is amplified and the torque compensation is carried out,which accurately reproduces the real working conditions and greatly improves the test efficiency and reliability of the results.
Effects of Fibers on the Properties and Performance of Polymer Composite Concrete
Authors: Zhu Huanyu
Published: January 2024

Geopolymer is a new type of chemically-inspired cementitious material that meets the concept of green and sustainable development due to its low energy consumption and low carbon emissions. However, when subjected to bending and tensile stresses, geopolymers exhibit brittle characteristics and require fiber reinforcement to control crack expansion and enhance toughness. Fibers can significantly enhance the performance of geopolymers in various aspects. By summarizing domestic and international papers on fiber-reinforced geopolymer composites (FRGC), this paper summarizes several properties and parameters of fibers that have a greater impact on the performance of Geopolymer concrete (GPC) and analyzes the impact of fibers on the performance of GPC from the perspective of the fiber type, size, admixture, interface with the matrix, and the modulus of elasticity. The influence of fiber on concrete properties is analyzed from five perspectives: fiber type, size, admixture, interface with matrix and elastic modulus. The type of fiber directly affects the performance of the fiber, the size and the amount of mixing, there is an optimal range, beyond or insufficient could lead to a decline in the performance of the GPC, and the ground polymer matrix bonding interface determines the fiber to play the effect of their performance, the modulus of elasticity of the fiber to reflect their mechanical properties, the greater the strength of the GPC toughening enhancement is more pronounced.
Research on ecosystem detection based on wireless communication network
Authors: Tang Muzi , Liu Yitong , Shen Tingyu
Published: January 2024

Ecosystem monitoring is of great significance in environmental protection and sustainable development. Wireless communication networks provide a broad application prospect for ecosystem monitoring, but there is a lack of further research on the strengths and weaknesses of the existing research results and specific application scenarios, as well as on the reliability of data processing. This paper aims to explore the theoretical basis of the reliability of wireless communication networks in ecosystem monitoring. Firstly, the current status, characteristics and challenges of wireless communication networks in ecosystem monitoring are reviewed, the key elements in ecosystem monitoring and the requirements for data integrity and accuracy are analyzed in detail, and the reliability problems of signal interference, node failure and data loss in data transmission are discussed. Secondly, methods and strategies to improve the reliability of ecosystem monitoring based on wireless communication networks are explored. By reviewing and analyzing the existing research results, the advantages and disadvantages of different methods as well as the applicable scenarios are elaborated. Finally, the paper proposes directions and challenges for future research. The exploration of emerging technologies is emphasized. At the same time, issues that need to be addressed, network security, energy efficiency and cost feasibility are pointed out. The significance of this paper in academic and industry practice can further deepen the exploration of the theoretical basis of reliability and combine it with practical application scenarios for verification and optimization.
Predictive Analysis of AAPL Stock Trend by Random Forest and K-NN Classifier
Authors: Qin Wenxi
Published: January 2024

While perfection in stock market prediction is impossible to accomplish, minimizing the investment risk utilizing data mining classifier to forecast the Stock Market trend becomes one of the most popular fields to research. This paper analysis and forecast AAPL ’s daily stock trends by utilize two most frequently use data mining algorithm K-Nearest Neighbor and Random Forest Classifier. By comparing the accuracy of the two model to finds out which model would best estimate the AAPL’s stock price. Both Algorithm utilize simple rolling average as the predictors to increase the accuracy of the prediction. The result points out that random forest classifier has 61% of the total accuracy which is greater than K-Nearest Neighbor (KNN) with only 53% of accuracy in total for forecasting the AAPL stock trend. Random Forest Classifier have a better performance in predicting the AAPL’s stock market compared to KNN, however it may show a different result when it comes to other stock data.
Gut Dysbiosis Activates C/EBPβ/AEP Pathway in Alzheimer’s Disease Mouse Model
Authors: Li Kaihua
Published: January 2024

The mechanisms of developing Alzheimer’s disease (AD) under the influence of gut microbial composition are intensively studied currently. However, the specific mechanism remains unknown. One recent study conducted by Chen et al. provided a breakthrough for the underlying mechanism of gut dysbiosis in contributing to the disease and showed the efficacy of two potential treatments in mouse models. Based on their study, gut dysbiosis occurred in transgenic mice increased the C/EBPβ/AEP signaling of the brain and the gut as aging, which increased the amount of truncated β-amyloid precursor protein and Tau. And the level of brain-derived neurotropic factor or BDNF was reduced significantly in the gut and the brain of aged transgenic mice. It implied that both genetic and gut microbial composition play roles in developing Alzheimer’s disease. Besides, antibiotic treatments and prebiotic R13 were performed. Researcher mitigated the pathologies and phenotypical symptoms. But only R13 treatment upregulated BDNF in the brain. Some experimental methods of the study could be improved to provide more useful information including the effect in female mice. In general, the original paper provided a logical procedure or outline for the study and introduced promising treatments in AD. Some questions remain including the mechanism of gut microbiota alteration in mediating the gut and the brain BDNF production is unclear. Based on this, hypothetical experiments are designed in the review.
Research on Case-Based Reasoning for Energy-Efficient Rail Transit Emergency Timetables
Authors: Ha Jinbing , Luo Wanyue
Published: January 2024

The continuous expansion of rail transit lines has led to a significant increase in energy consumption. Choosing an appropriate timetable based on external conditions of train operation can reduce energy consumption by more than 5%. When emergencies occur in rail transit, external conditions change, rendering the original timetable unable to meet energy-saving requirements. This paper primarily explores how to quickly determine an energy-efficient timetable based on historical energy-saving timetable data and current external conditions using case-based reasoning methods. The paper represents emergency event timetable cases using a framework approach, and then employs a retrieval algorithm based on the grey correlation degree method to search for cases. The energy-efficient timetable for the target case is selected from the retrieved source cases, considering the one with the lowest energy consumption.
Recent Advancements and Application Of Z-Source Inverters
Authors: Yan Haowei
Published: January 2024

With the imminent energy crisis, mankind's demand for clean energy is increasing. Electricity, as the foundation of today's social development, its industry is developing at a high speed, and there is an urgent need for more efficient, stable and flexible power conversion solutions in the field of power electronics. However, traditional power electronics topologies encounter limitations, especially when confronted with wide-ranging input voltage fluctuations, posing challenges for meeting practical requirements. The Z-source inverter addresses issues inherent in conventional power electronic topologies. The Z-source inverter, a novel power electronic converter, has garnered significant attention in the power electronics domain due to its promising developmental prospects. The paper initially presents advancements in Z-source inverter topology, followed by a summary of pertinent technologies, including modulation techniques and closed-loop control strategies. Furthermore, it delves into a comprehensive examination of Z-source inverters, offering valuable references and insights to further enhance their performance and reliability. Finally, the challenges faced by Z-source inverters are discussed and possible directions of development are proposed.
Effects of Plateau Climate Environment on Concrete Performance
Authors: Zhang Ruishi
Published: January 2024

Transportation construction on the Qinghai-Tibet Plateau has always attracted much attention, and the completion of the Qinghai-Tibet Plateau Railway, one of the four major projects in the new century, is bound to accelerate the economic development of the plateau region and the completion of more infrastructure. Therefore, concrete materials are widely used in the construction of the plateau region, and the long-term performance of its materials and structures in this environment is worthy of attention. The plateau climate has three main characteristics: large temperature difference, low air pressure, and low humidity, which makes the concrete withstand different degrees of damage from preparation to use, thereby reducing the overall carrying capacity and safety of the building structure, reducing its service life, and increasing the risk of building erosion by the environment. This paper mainly summarizes and analyzes the factors affecting the performance of concrete in the plateau environment, that is, temperature, humidity and air pressure, and on this basis, explores their comprehensive influence. The comprehensive study shows that temperature could cause a freeze-thaw cycle of concrete, resulting in continuous accumulation of internal damage of concrete; Low temperature could cause water migration in concrete, easily causing concrete shrinkage and carbonization; Low air pressure could reduce the shrinkage and durability of concrete structures. Based on a series of theoretical studies, this paper further discusses the relevant solutions applicable to various practical engineering problems.
Analysis on Housing Price Using Macroeconomic Indicators in China
Authors: Zhao Zihan
Published: January 2024

In China, one of the most important stimulations in economic development has belonged to real estate market after the reform and opening, and it also contributes a lot to the financial market. However, there are many arguments nowadays, believing that Chinese real estate market is on the process of bubbles, almost about to burst. This study aims at discussing the influences of some macroeconomic indicators on price of commercial housing in China between 2013 and 2022. GDP, interest rate, inflation rate and money supply are chosen to be the independent variables. Using correlation and regression models, the results show that the indicators are correlated with each other. The analysis shows that there is a strong positive correlation between China’s GDP and commercial housing price which is the key for future economic development. Inflation positively correlates with the commercial housing price and a strong negative correlation is found between commercial housing price and interest rate and money supply. This research suggests that government should regulate and control macroeconomic indicators to protect the development in real estate market.
Comparative Analysis of Microsatellite Sequences in Six Gamma-coronaviruses
Authors: Zhang Duo , Wang Haoxiang
Published: January 2024

Microsatellite sequences are DNA or RNA repeat sequences with 1-6 bases as repeat units, also known as simple repeat sequences, that appear in the genome's non-coding, coding, and intergenic regions. Microsatellite sequences are extremely changeable and varied, and their presence encourages genomic variety and evolution. Gamma-coronavirus is a genus in the Coronaviridae subfamily. Microsatellites are extensively dispersed in gamma-coronavirus genomes' coding and non-coding regions. There are currently few papers on the microsatellite analysis of γ-coronaviruses. The distribution frequency, GC content, and nucleotide repeat sequences of γ-coronavirus SSR were studied in this work using MISA online program and SSRhunter, and three results were drawn: 1.Viruses have a short evolutionary period and a lower variety of microsatellites than prokaryotes and eukaryotes. 2.Type II microsatellites have a significant role in cross-species infection and gene expression differences. 3.Evolution might be skewed. This research will contribute to a better understanding of the structure, function, and evolutionary importance of microsatellites in tiny genomes.
Weather Pollution Prediction Based on XGBoost and ARIMA: Evidence from Shanghai
Authors: Yu Jingkun
Published: January 2024

As a matter of fact, the weather pollution prediction is a pretty important issue in environment analysis. With the rapid development of machine learning techniques and bigdata analysis, it is available to realize accurate prediction based on the state-of-art models. In recent years, the weather condition is pretty worse in Shanghai. With this in mind, the general situation of air quality in Shanghai was statistically analyzed using air pollution detection data such as API in Shanghai from 2014 to 2023, and the relationship between air quality influencing factors and the air quality index API was investigated based on the construction of the machine learning model and scenarios. With the analysis and the usage of XGBoost and ARIMA, one can get the future trends and prediction. According to the analysis, the impact factors are discussed as well as the current limitations are demonstrated. At the same time, the future prospects are discussed.
Research on Route Planning Model Based on Multi-beam Sounding Technology
Authors: Li Suhao , Tang Mingjun , Wang Haoyu
Published: January 2024

With the advancement of multi-beam sounding technology, designing an effective aerial survey route has become a crucial research area. This research aims to address the line layout problem for multi-beam sounding in various oceanic regions through the proposed route planning model. Firstly, analyze the functional relationship between the depth of seawater, the coverage width of the measurement line and the overlap rate between adjacent strips under the condition of different distance from the center point of the measurement line. Secondly, describe the coverage width of multi-beam sounding at different positions using trigonometric functions based on a stereoscopic model of the ship's cross-section at any course. Finally, under the condition of fixed gradient of seabed slope, the design and solution of aerial survey routes in the sea area is carried out by using the ox-ploughing reciprocal method, and the route planning model is established with the goal of achieving the maximum coverage area and the minimum distance of aerial survey and the aerial survey plan of the sea area is given.
Enhancement Of A 32-By-32-Bit Signed Digital Multiplier: A Multi-Dimensional Optimization Approach
Authors: Cui Chenjia , Li Yunpeng , Shang Taoyujie
Published: January 2024

In the pursuit of enhanced performance in a 32-by-32-bit signed digital multiplier, optimizations were enacted on three critical fronts. Initial efforts focused on the integration of an advanced Booth encoding technique for the generation of three-bit control signals, meticulously crafted in the Verilog programming language. This approach, characterized by its restricted symbol expansion methodology, strategically curtails hardware resource expenditures, and diminishes power utilization during computational tasks. Subsequently, a sophisticated hybrid Wallace tree architecture was employed, offering a notable decrement in the delay of two XOR gates in contrast to the exclusive application of 3-2 and 4-2 compressors. This refinement not only augments the aggregation efficacy of partial products but also substantially accelerates operational velocity. Furthermore, the incorporation of a 64-bit carry-lookahead adder was instrumental in mitigating the latency induced by lower-order carry anticipation. To ascertain the multiplier's computational precision, a Verilog-constructed testbench file facilitated the assembly of 100,000 test vectors, with simulations executed in ModelSim yielding a verifiable accuracy rate of 100%.
Apple’s Brand Marketing Strategy: A Case Study on Brand Image and Customer Engagement
Authors: Zou Yutong
Published: January 2024

This study examines Apple’s marketing strategy from a customer perspective, focusing on brand image and engagement. Apple has earned a strong brand image in the global market with its innovation, superior design and high-quality products. Apple’s product differentiation and well-established ecosystem set it apart from the competition in the market. Apple’s retail stores enhance the customer experience with personalized service and digital displays. Apple uses digital marketing to engage customers and raise expectations when new products are released. Hunger marketing strategies, attention to detail, and customer care foster customer satisfaction and loyalty. Apple’s products have evolved from tools to lifestyle and fashion accessories, and its iOS system is shaping a unique attitude towards life. Through the psychology of social identity, the study reveals how customer emotions are reflected in Apple’s brand marketing. In addition, Apple’s commitment to environmental sustainability creates a positive image. The study emphasizes the importance of branding in attracting and retaining customers. Apple’s marketing strategy has transcended business and becomes part of consumers’ lifestyles, making the Apple brand synonymous with innovation, style and social acceptance.
Unveiling COVID-19 Vaccination: Strategies, Challenges and Future Preparedness
Authors: Qu Xuemei , Zhang Yawen
Published: January 2024

Throughout history, pandemics have had a profound and far-reaching impact on the society of any country and can be so severe that they reshape the course of nations and challenge human resilience. Against the somber backdrop of these crises, vaccines have emerged as beacons of hope and critical tools to curb the relentless spread of infectious diseases. In particular, the recent global response to the COVID-19 pandemic has demonstrated the critical role of vaccines in safeguarding the health of public people and stopping the spread of a new highly infectious virus. In this article, we will explore the crucial interplay between vaccination and pandemics, from the different types of vaccines to a focus on the far-reaching significance of vaccines in addressing the complexity of the COVID-19 crisis and recognizing that vaccines can not only curb the spread of the virus but also shape the trajectory of our shared global future.
Unemployment in Beijing During COVID-19 and Its Impact on Economic Development
Authors: Cai Jincheng
Published: January 2024

This paper focuses on the unemployment rate and economic issues brought about by COVID-19 as the main topic of the study. An in-depth comparison of the difference in unemployment rates before and after the New Crown epidemic, post COVID-19 mainly and pre COVID-19, with the public's perspective, how COVID-19 brought about the crisis. There are three main research methods used in this paper, survey research case study and content analysis. The main one is the case study, which reflects some substantial impacts through examples of what happened in reality. Through the research, it is shown that the coming of major diseases has a great impact on people's productive life, and people's unemployment rate rises as a result. The rise in unemployment has been accompanied by a greater economic crisis. At the same time, the quality of life of the people has fallen dramatically. This vicious circle is detrimental to people's interests. The main purpose of this paper is to identify the problems and find ways to solve them in order to maintain the basic interests of people's lives.
CAR-T Cell Therapy in Solid Tumor
Authors: Lyu Mingzheng
Published: January 2024

Chimeric antigen receptor (CAR) T cell immunotherapy has gained significant popularity in recent years as a promising approach for cancer treatment. This form of immunotherapy involves the genetic modification of T cells to enable them to recognize and attack cancer cells within the body. Despite the advancements in CAR-T cell therapy and related technologies, several challenges persist in the field of solid tumor research. These challenges include antigen escape, off-target effects, and the complex immune microenvironment. This study aims to evaluate the advantages and drawbacks of CAR-T cell therapy specifically in the context of solid tumors, shedding light on potential avenues for further development. Furthermore, the application of CAR-T cell treatment in solid tumors, such as breast cancer, is discussed. The study also addresses various limitations associated with CAR-T cell therapy, including the influence of the immune microenvironment and the potential for antigen evasion. In addition, the study explores future directions for CAR-T cell therapy, highlighting the potential role of synthetic biology. By examining these aspects, this research aims to contribute to the understanding of CAR-T cell treatment and provide valuable insights to combat solid tumors effectively.
Analysis and test verification of influencing factors of strain balance force measurement
Authors: Wang Ben , Yang Xiaoqiang , Li Xiaogang , Wang Biling
Published: January 2024

As an important component of wind tunnel force test, strain balance is very important to ensure its measuring accuracy.The operation mode of continuous wind tunnel will lead to the existence of temperature gradient in strain balance, which will generate thermal stress inside and affect the accuracy of wind tunnel test data.Starting from the actual work, this paper selects a strain balance as the research object, defines four commonly used material properties, uses ANSYS workbench to do finite element simulation, uses orthogonal test method to analyze the influence of each material parameter on the thermal strain output of the balance, and finds out the best material.At the same time, the strain balance prepared by the best material was verified by wind tunnel test.The finite element analysis results show that the influence of each material parameter on the thermal strain output of the balance is hot wire expansion coefficient, elastic modulus, specific heat capacity, density and thermal conductivity.The strain balance prepared with material 1 can effectively reduce the heat output of the balance.The experimental verification shows that the output potential signals of each element of the strain balance prepared with material 1 are relatively stable in the face of drastic temperature rise changes of the balance body and large temperature gradient, and meet the advanced standard of the national military standard.
Explore the Design Principles and Prospects of Green Buildings
Authors: Xiao Qiaojing
Published: January 2024

The construction industry is an important symbol of the development of human civilization and an important part of human social and economic activities. However, with the influence of population growth, accelerated urbanization, and rising living standards, the construction industry is also facing great challenges. On the one hand, the demand and consumption of natural resources in the construction industry are huge, resulting in resource scarcity and waste. On the other hand, the development of the construction industry has caused serious pollution and damage to the environment, leading to problems such as the greenhouse effect, climate change, and biodiversity loss. According to statistics, the global construction industry occupies a lot of energy, water resources, raw materials, and wood, and produces a lot of solid waste, greenhouse gas emissions, and wastewater discharge. Therefore, it is important to investigate, observe, and study the existing literature on the current status of green buildings to derive the development of green buildings.
Analysis of Developing Commercial Bank Green Finance Programs
Authors: Yang Liuyiyi
Published: January 2024

Contemporarily, global climate change and the depletion of traditional resources have fueled the rise of environmental awareness, making environmental protection and sustainable development an international trend. The active participation of commercial banks in green finance not only enhances their reputation but also helps to gain social support. The study discusses the importance of commercial banks' active participation in green finance in the context of global environmental protection and sustainability trends. The study highlights the theoretical and practical significance of Chinese commercial banks in green financing, and introduces the policy measures and innovative products of ML City Agricultural and Commercial Bank in promoting green finance in the region. In addition, the article mentions an innovative rural insurance product called "Green Farmer Insurance", which aims to help farmers cope with weather- and environment-related risks and promote sustainable agricultural practices. Theoretically, the green financial business of Chinese commercial banks is relatively lagging, and more relevant theories are needed to enrich and improve it. In fact, under the national strategies of peak carbon and carbon neutrality, green development has become an important theme that requires a large amount of green investment, and financial institutions are the main driving force of green finance.
Elon Musk’s Purchase of Twitter and its Financial Implications
Authors: Li Xingrui
Published: January 2024

Elon Musk's acquisition of Twitter has made its loud debut, but ever since the acquisition, Musk appears to have only reported bad news about the company, and at one point he even hinted at bankruptcy. Through examining different sources such as current literature, news reports, and Musk's tweets, this study investigates the implications of Musk's changes to the company following his acquisition and how they may have contributed to Twitter's financial problems. It was discovered that Musk's acquisition was accompanied by a large debt as well as a number of bills that he has yet to pay, which is expected to cause backlash if left unchecked. The primary cause of the problem was identified as a mass exodus of advertisers, which led to a plunge in the company's main revenue source. This is a result of the loosening of content moderation and the new Twitter Blue, which made the platform more disorderly and unappealing to advertisers. This study aims to clear up some confusion around the reasons behind Twitter's post-acquisition financial struggles and provide further insights on how the company can recover its profitability.
Research and Application of Virtual Reality Technology Based on the Medical Field of Autism
Authors: Xu Tao
Published: January 2024

With the rapid advancement of technology, virtual reality has revolutionized various industries, including healthcare. In particular, the treatment of autism has greatly benefited from the integration of virtual reality technology. This study aims to provide an analysis and summary of the recent advancements and applications of virtual reality in the medical field for autism, based on a comprehensive literature review. It investigates how virtual reality technology is currently helping individuals with autism to alleviate the difficulties caused by complex symptoms, and explores effective treatment and rehabilitation approaches for different types of autism spectrum disorder. The study also examines specific autism disorders, such as social interaction difficulties and emotional regulation challenges. Furthermore, it outlines the numerous challenges that virtual reality technology faces in its development for medical applications in the field of autism. Finally, the paper concludes and offers future prospects in this domain.