bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and solutions pertinent to machine learning-based audio recognition
Authors: Yang Sijie
Published: January 2024

The problem of transcribing data from an acoustic waveform has yielded multiple approaches over the last decades. The current preferred approach involves a three-stage model that breaks the problem into its constituent stages, each with an equivalent model. The first stage divides pure acoustics and language study using a Bayesian model. The second stage focuses on the acoustics model; this model makes the most sufficient and efficient division. The third stage focuses on the acoustics model; this model provides complete instruction on how to compute the probability required by the first stage, given the division specification declared within the second stage.
Strategic Study of Sam's Clubs in China under the New Consumption Trend
Authors: Lin Yuyun
Published: January 2024

Against the backdrop of a new round of scientific and technological revolution and industrial change, China has seen the rapid development of new types of consumption characterized by new forms and modes of business, such as online shopping, mobile payment, and the integration of online and offline, which have played an important role in meeting the needs of residents' lives and releasing consumption potential. Consumption is currently the most important engine for China's economy to expand domestic demand and promote economic growth, and the new consumption habits of residents generated by the epidemic in recent years indicate that China's residents are in an upgrading stage of their consumption concepts and methods. The membership-based business model of warehouse-type membership stores will further promote residents' consumption and upgrading, and the warehouse-type membership stores will also benefit from it.
Application of BIM in Highway Engineering
Authors: Zhang Chi
Published: January 2024

The layout of new infrastructure construction around digital transformation is an important proposal in the national "14th Five-Year Plan". Building Information Modeling (BIM) has multi-dimensional model information integration technology, responds to the national call, and meets the needs of innovative development and digital transformation and upgrading of highway construction. In recent years, BIM has developed rapidly in the engineering field. In this context, this paper studies and summarizes the technical standards and specifications of BIM technology in the highway field, design software, and the application of BIM technology in engineering puts forward the problems existing in the current promotion of BIM technology, and looks forward to the future of BIM technology application in highway engineering.
Comparative Analysis and Construction of Evaluation Indexes of Civil Aviation Service Quality
Authors: Zhang Lili , Kou Xi , Gao Junbo , Yang Junjie , Huang Yujun , Chen Jianping , Liang Lei , Zhang Liyang
Published: January 2024

Scientific and effective evaluation of civil aviation service quality is of great significance to improve customer satisfaction and the main competitiveness of civil aviation enterprises. In combination with the core ideas of the service quality model, this paper compares and analyzes the service quality evaluation process of airports and airlines from the two dimensions of service contents and evaluation indexes on the basis of literature arrangement and summary. Based on the SERVQUAL model and the "China Civil Airport Service Quality Evaluation Index System", the related contents of the system is appropriately revised combined with the characteristics of airport and airline services. To this end, the service quality evaluation indexes of airports and airlines are respectively built. The research shows that there are indeed some differences in five dimensions of evaluation indexes between airports focusing on ground services and airlines responsible for in-flight services. Only when scientific and reasonable evaluation index system for the quality of civil aviation transportation services is established for evaluation in line with the characteristics of civil aviation transportation services in the two scenarios, can the overall service level of passenger transportation in civil aviation industry be upgraded to achieve the high-quality development of civil aviation transportation industry in China.
Interactions Among Energy Consumption per GDP, Technological Innovation Input and Energy Consumption Structure in China During the 14th Five-Year Plan Period
Authors: Yi Yan
Published: January 2024

In the context of China's 14th Five-Year Plan, this paper examines the complex interactions between energy utilization efficiency, technological advancement, and energy-consuming structure. The Vector Autoregressive (VAR) model, impulse response functions, and variance decomposition are used to thoroughly analyze time series data extending from 1999 to 2022 to reveal the dynamic relationships and effect mechanisms among these variables. The results show that the multidimensional adjustment of energy use has been driven in large part by technological innovation. In the short term, the improvement in energy utilization efficiency is predominantly propelled by its inherent inertia, while technological innovation gradually becomes the primary driving force. The positive impact of technological innovation input enhances energy utilization efficiency, while improved energy utilization efficiency stimulates later-stage technological innovation investment. Furthermore, a shift towards reduced GDP energy intensity is essential, focusing on controlling fossil fuel usage while advancing non-fossil energy sources. It underscores the significance of optimizing traditional fossil fuel utilization and gradually transitioning to clean energy sources for sustained and efficient energy-consuming patterns.
The Taxi Problem at The Airport
Authors: Cheng Xin
Published: January 2024

This thesis aims to propose an optimization and improvement plan for the cab problem in airports. In this paper, under the premise of driver's revenue as the core element, combining the number of passengers waiting in line, the number of vehicles in line in the storage pool, the distance back to the city and other influencing factors, two scenarios of waiting in line to pick up passengers and returning empty to haul passengers are hypothesized, with gaining revenue over paying cost as the final measure. This problem sets up two decision scenarios as a way to build a decision model for cab driver selection. To collect the relevant data of a domestic airport and its city cabs, in order to ensure the rationality and reliable reference value of the data, Nanjing Lukou Airport is selected as the research object after a lot of data collection, and the relevant data provided by the public information of the website and the very accurate APP are used to study the flight information on July 13, 2022. For Nanjing Lukou Airport, the change of airport traffic in different time periods is relatively large, so according to the relevant data obtained, the benefits of different schemes are considered comprehensively, and the model established in Problem 1 is solved to obtain the benefits of Scheme A and B at different moments of the day, so as to give six time periods of the driver's decision scheme.
Jiangxi Copper Group Remuneration Policy Study
Authors: Song Yujie
Published: January 2024

China's copper industry is an important industry in the national economy, with 91% of 124 industries related to copper. Jiangxi Copper Group has the highest self-sufficiency rate of copper concentrate in China, and is the largest and most modern copper production and processing base in China, and an important production base for gold, silver, selenium, tellurium, rhenium and other rare precious metals, and sulfur chemical industry. 1997, Jiangxi Copper Corporation was listed on the Hong Kong stock market, and in 2008, the management bodies of Jiangxi Copper Group Company and Jiangxi Copper Corporation were merged into a single one, and the company was listed as a whole. In 2008, Jiangxi Copper Group Corporation and Jiangxi Copper Corporation realized the merger of their management bodies into one, realized the overall listing, and established a modern management system and operation mechanism with the division system as the basic framework. This paper analyzes the remuneration policy of Jiangxi Copper Group by studying the remuneration status of its executives and employees, and compares it with other companies in the same industry to put forward development suggestions.
Analyzing SpaceX's International Collaborations: Conflicts and Coordination Mechanisms with Space Partners
Authors: Cao Yangming
Published: January 2024

Space exploration is a challenging and complex endeavor that requires collaboration between countries and organizations to advance. SpaceX, a leading private aerospace company, has engaged in various international collaborations with space agencies and partners to drive the development and application of space technology. However, international partnerships can also give rise to conflicts and issues that require suitable coordination mechanisms to resolve. SpaceX manages these challenges through cross-functional teams, effective project management, and shared knowledge. Strategies like diversity in partnerships enhance cooperation. SpaceX's experiences provide valuable insights for future space collaborations. SpaceX gets a lot achievements with its partners like NASA. And SpaceX do many efforts to deal with the troubles with them. SpaceX's approach to international collaborations in the field of space exploration revolves around cross-functional teams, effective project management, knowledge sharing, diversity in partnerships, a shared strategic vision, and a commitment to learning from experience.
The development of New Energy Vehicles and environmental governance
Authors: Zhong Caiyi
Published: January 2024

Today more and more people are willing to choose New Energy Vehicles (NEVs) as travel tools. The automotive industry has witnessed a significant transformation over the past few decades, driven by the urgent need to reduce greenhouse gas emissions, combat climate change, and enhance energy efficiency. This article explores the relationship between environmental governance and NEVs, which encompass a range of technologies, including electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). This paper review explores the state of research and development in the field of NEVs, highlighting key advancements, challenges, and future prospects.
Artificial Intelligence Gamers Based on Deep Reinforcement Learning
Authors: Wang Haolin
Published: January 2024

This study investigates the design and implementation of Artificial Intelligence (AI) game players based on deep reinforcement learning, offering a novel approach to autonomous decision-making and strategy acquisition in intelligent games. Initially, the fundamental principles and algorithms of deep reinforcement learning are introduced, along with the fusion of deep learning and reinforcement learning. Subsequently, existing research is reviewed, and the pros and cons of current methodologies are examined, highlighting the underlying issues and challenges. The utilization of AI players in mainstream games is then introduced, and the influence of AI players on contemporary games is analyzed. Through this analysis of AI players in mainstream games, the strengths and weaknesses of current AI players are identified, and recommendations for optimizing them are provided. This study holds significant implications for guiding the design and development of intelligent game players, while also enriching the application of deep reinforcement learning within the gaming domain.
Changes in the United States Dollar’s Hegemony and Macroeconomic Implications
Authors: Ni Yuexuan
Published: January 2024

As a global currency, the United States dollar not only relates to the flow of global capital markets and the pricing of funds, but also has an important and far-reaching impact on the global macroeconomy. There has been growing interest on the topic of how the position of the United States dollar would change and how it will be reflected in various circumstances and situations, in the last few years. This paper used data to analyze the changes in the hegemony of the USD and macroeconomic implications. With the growth of other currencies in the market nowadays, the hegemony of the USD is being questioned. A slight decline of the US dollar as a global currency has been shown in statistics. However, the United States dollar is still retaining its power and its key roles around the world, internationally as a dominant currency. The threats from other emerging currencies are not yet strong enough to change the position of the United States dollar globally from speculations.
Prediction and Classification Models of Wordle Data Set Based On ARMA, XGBoost
Authors: Meng Xiangcheng , Wang Chuanzhen , Zang Weichen
Published: January 2024

This study intends to use machine learning method to solve the problem of predicting the number of word guessing and the difficulty of word guessing in natural language. Firstly, this study smoothed the data according to the COF method. According to the images of the sample autocorrelation function and the sample partial autocorrelation function, the ARMA model is constructed and the coefficient of the AMRA model is calculated, and the number of word contest people on March 1, 2023 is predicted to drop to [18002,20622]. Second, based on the seven attributes of the word, the XGBoost classification model is used to predict the value of the first attempt, and then the XGBoost prediction model is used to predict the results of the other attempts. Eerie distribution of different attempts to {0,8.890, 17.650, 28.191, 32.451, 11.349, 1.483}. The average accuracy of the model on the test set is 79.4%.
Immune Checkpoint Inhibitors for Triple-Negative Breast Cancer
Authors: Zhu Yaqi
Published: January 2024

Triple negative breast cancer (TNBC) is still the most serious subtype of breast cancer because of the least favorable prognosis due to the greatest recurrence and mortality rates. In the past decade, with an deeper understanding of tumor biology, it became possible to identify subgroups of patients with molecular characteristics and apply numerous novel targeted therapies. In this aspect, immune checkpoint inhibitors (ICIs) have developed as a promising therapy method for TNBC patients to improve pathologic complete response rate and the outcomes of patients. Nowadays, PD-1/PD-L1 inhibitors are used in the clinic applying for TNBC alone or with other types of therapies. Despite the advances, there are many challenges including optimizing patient selection, reducing resistance and enhancing control of immune-related adverse events. This review includes an overview of current clinical treatment for TNBC and pathways of PD-L1. The ongoing clinical trials, current challenges, and future perspectives about ICI, particularly anti-PD-1/PD-L1 therapy, are briefly discussed to portray their promising prospects.
Digital Echoes: Social Media’s Resonance in Brand Marketing
Authors: Chen Xiyan
Published: January 2024

The paper will dive into the profound influence of social media platforms on brand marketing, casting light on crucial factors that shape contemporary consumer behavior. Recognizing the pervasiveness of social media platforms such as Weibo, Douyin, and Facebook, the research responds to the growing significance of these platforms in a variety of societal spheres. This topic was chosen due to the inextricable integration of social media into people’s lives, which influences academia, professions, and personal spheres. The research highlights the transformative potential of social media in brand marketing by conducting a comprehensive literature review. In the domain of brand perceptions, the research reveals a knowledge gap regarding the challenges posed by negative comments and crisis communication. Utilizing comparative analysis and case studies, the research shows that effective social media strategies increase consumer engagement, trust, and loyalty. Platforms such as TikTok and Instagram provide dynamic environments in which customized content and influencer collaborations can be strategically utilized. The study concludes by highlighting the significant marketing sector implications of this research. It emphasizes the significance of establishing genuine connections, customizing content, and overcoming obstacles to maximize the potential of social media platforms. In a competitive environment, brands can use these insights to plot a successful course.
Enterprise Financial Risks: Take Amyris Inc. as an Example
Authors: Zhao Peiyuan
Published: January 2024

In today's economic environment, companies will face all kinds of risks, including environmental, political, financial pressure and other risks. If the internal management of the company cannot accurately predict the risk and take appropriate measures to deal with the risks, the company will have financial risks and face the consequences of bankruptcy. In order to help companies with early warning, analysis and dealing with financial risks, it is essential to take a specific company as a case study to deeply understand financial risk. This paper collects indicators in the financial statements of Amyris Inc. from the year 2018 to 2022, uses the Z-score model to evaluate the bankruptcy probability of the company from the year 2018 to 2022, analyzes the internal operation situation of Amyris company, the causes of the internal financial risks of the company, and provides corresponding suggestions for the subsequent restructuring of the company on this basis.
Research on the Development of China's High-tech Industry under the Background of Sino-U.S. Trade War
Authors: Gu Jiahui , Hu Linghui , Hu Xintong
Published: January 2024

High-tech industry has always occupied an important position in many industries in China. Since the reform and opening up, China's high and new industries have been developing at a rapid pace. However, since the beginning of 2018, there has been a trade war between China and the United States. In the new international situation, China's high-tech industry is facing huge opportunities and challenges, so it is particularly important to study the competitiveness of China's high-tech industry. Through literature analysis, based on micro and macro perspectives, this paper compares the situation of China and the United States in Sino-U.S. trade, and analyzes the Sino-U.S. trade frictions in recent years and the contest between the two countries' national core competitiveness. The focus of this paper is to study how the survival and development of China's high-tech industries are affected under the background of Sino-U.S. trade war.
IPO Failure Case Study—The Case of Logicreation
Authors: Ha Shicheng
Published: January 2024

China's economy has shifted from a high-speed development stage to a high-quality development stage, and there is an urgent need for scientific and technological innovation to promote high-quality development. Since August 24, 2020, when the first batch of enterprises under the registration system of the GEM board were listed on the market, as of August 20, 2023, a total of 345 enterprises on the Shenzhen Stock Exchange have terminated their IPOs, and the reasons for the failure of their IPOs are more or less the same. In this paper, we take Beijing Logicreation Information & Technology Co., Ltd. (hereinafter referred to as Logicreation) as a case study to deeply investigate the reasons behind its IPO failure. By analyzing the information disclosed by the case company in the GEM audit, it is found that the reasons leading to Logicreation's failure to meet the requirements of the IPO audit can be broadly divided into two aspects. On the one hand, it is due to business compliance issues, while on the other hand, it also lies in its own unstable profitability. In view of the reasons for the failure of Logicreation's IPO, this paper suggests that the company should improve its internal control and clarify the relevant standards, improve its product structure and its profitability, so as to be ready for the next IPO filing. At the same time, it gives other enterprises to be listed a certain experience to learn from, and improves the chances of success of GEM IPO.
Identification and Functional Analysis of Hub Genes in Cell Cycle Pathway Linked to the Development of Lung Cancer with Non-Small Cells
Authors: Chen Meixi , Pan Jiajing , Wang Guanyang
Published: January 2024

Non-small cell lung cancer (NSCLC) is the most prevalent cause of cancer-related fatalities. We combined different gene expression datasets to screen out eight hub genes (CDC6, PLK1, BUB1B, CHEK1, TTK, CDC20, CCNB2, and PTTG1) associated with the Cell cycle pathway, which also showed significant poor prognosis and late upregulation of LUAD in NSCLC. KRAS and EGFR are the star molecules in lung cancer. KRAS causes overexpression of hub genes through up-regulation of the cell cycle pathway, and the up-regulation of hub genes in NSCLC can be confirmed at amounts of mRNA and proteins. Hub genes have a certain correlation with EGFR, and upregulation of the cell cycle pathway may cause resistance in NSCLC caused by EGFR mutations. The emergence of this resistance may be related to the change of Gene copy number alteration (CAN) and co-occurrence of BUB1B and CCNB2, PLK1 and TTK, CHEK1 and TTK. These cell cycle subtype genes provide a new perspective for treating patients with NSCLC, and the specific mechanism of hub genes can be further studied.
Causes and Impact of Sino-US Trade Confliction and US Inflation
Authors: He Yiran , Tang Renhe , Wu Hanbin
Published: January 2024

One of the primary areas of ongoing research concerns the trade tensions between the United States and China, and the trend towards trade decoupling between these two nations. Scholars are increasingly examining the evolution of this trade dispute, its impact on the Chinese market, and the policy responses that the Chinese government should adopt. However, there remains a research gap with regards to the impact of trade tensions between the US and China on domestic inflation in the US, as well as the ability of the US government to take appropriate countermeasures. To examine the influence of US-China trade tensions on US inflation, this paper examines macroeconomic and microeconomic data from the last five years. It summarizes the local irrationalities stemming from the current inflation issue, looking at the government’s, society’s, and people’s livelihoods’ perspectives, and investigates viable measures from government, enterprise, and personal financial perspectives. It is hoped that this study will aid the expansion of Sino-US trade and the successful alleviation of the inflation crisis in the United States, while also broadening the perspectives of future scholars.
Analysis and design of child-friendly play Spaces
Authors: Xu Shukun
Published: January 2024

Since quality education has become an important policy concept of contemporary education reform and development in China in the 21st century, as the country has proposed and planned the concept of child-friendly cities and communities, the combination of developing future child-friendly communities and quality education outside school has become an inevitable trend of the development of The Times. Modern urban society should provide space for children's entertainment and the educational significance of games. This study analyzes the advantages and disadvantages of relevant cases from the aspects of artistic techniques used and ideas conveyed, as well as the selection and consideration of amusement facilities, and thinks about how to improve and innovate. It provides ideas and schemes for how to design a child-friendly play space with both beautiful and entertaining functions. This paper mainly provides ideas for the design of hardware facilities and software facilities of child-friendly play space, through the analysis of children's physiological and psychological characteristics and needs, combined with traditional Chinese culture, to provide ideas for the design of child-friendly play space.
Optimal arrangement of heliostat field based on simulated annealing algorithm
Authors: Li Zhanghan , Gan Shuming
Published: January 2024

In this study, a simulated annealing algorithm is proposed as an optimisation method for the mirror arrangement of heliostat mirrors in a tower solar thermal power plant. Firstly, the optimal number and position of heliostats in the whole mirror field in radial staggered layout (EB unobstructed layout) were solved using simulated annealing method. Then further optimisation, i.e. changing the mirror width, mirror height and mounting height of the heliostats and solving for the optimal number and position of heliostats using simulated annealing again, resulted in an increase in the number of heliostats in the optimised mirror field by 77.92% but a decrease in the total area by 18.77%, and an increase in the average annual thermal power output per unit area of the mirrors by 4.76%. Therefore, this result shows that the heliostat field optimised using the simulated annealing algorithm has a higher efficiency and a smaller footprint.
Trend Prediction Analysis of Shanghai Composite Index Based on LSTM Neural Network
Authors: Gao Rongze
Published: January 2024

The prediction of stock indices, particularly the Shanghai Composite Index (SCI), is crucial for understanding the health and direction of China's financial market in the post-pandemic era. Given the challenges of traditional forecasting methods due to the unpredictable nature of stock prices, this study explores the application of the Long Short-Term Memory (LSTM) neural network, complemented by Monte Carlo simulations and regularization with the daily trading data from September 21 2020, to August 13, 2023, to forecast the SCI's price trends for Q4 2023. The findings suggest a trajectory characterized by an initial decline, succeeded by a steady upward trend throughout the entirety of the quarter.  Notably, the results have adeptly encapsulated both the lingering effects of the pandemic and the long-term rising trend of the Shanghai Composite Index (SCI). This research accentuates the potential of advanced neural network models in deciphering complex stock market behaviors, offering a groundbreaking perspective for market participants in navigating future investment decisions.
Land Transportation Infrastructure and Economic Growth: An Assessment of the SADC Regional Infrastructure Development Master Plan
Authors: Zheng Jieke
Published: January 2024

This Southern African Development Community (SADC), as a regional economic integration organization in Africa, has 16 member countries with rich natural resources and tourism resources, attracting the attention of global investors. Although the region's transport infrastructure is among the leading in Africa, it still lags far behind global standards. This study provides a comprehensive assessment of the current state of transport infrastructure in SADC, with a particular focus on road transport facilities within the region. Based on SADC's official "SADC Regional Infrastructure Development Master Plan Transport Sector Plan, 2012", this paper evaluates the current situation of its road transport infrastructure and conducts an in-depth analysis of the future road development plan in the plan. This research aims to reveal the challenges faced by SADC at the infrastructure level, and provide a comprehensive and in-depth perspective for policy makers, investors and other relevant stakeholders. At the same time, this study can provide some new ideas for future research and provide new solutions to the problems of transportation infrastructure in the SADC region.
Optimizing Corporate Interests: A Comprehensive Study on Tax Planning Strategies for Company a Under the Framework of Enterprise Income Tax Law
Authors: Qin Yiwen , Huang Jia
Published: January 2024

In terms of taxation, as one of the main sources, corporate income tax is 20% according to the newest financial reports. Therefore, conducting tax planning and developing a series of corporate income tax planning plans is crucial for maximizing corporate interests. This paper is based on the Enterprise Income Tax Law, with Company A as the research object. In response to the development of the company in the past three years, literature review and case analysis methods are used to plan for enterprise income tax payment of the company, in order to reduce taxes and increase profits. This article introduces the company's overview, financial situation, and existing problems, such as not fully utilizing tax preferential policies Failure to reasonably distinguish or plan expenses, resulting in exceeding tax amounts and failing to recognize revenue methods for various sales, has led to corresponding planning plans to reduce risks while reducing expenses, which not only reduces the taxable amount of corporate income tax but also increases profits.
Research on Isolation and Protection Technology for Returning Astronauts of Deep Space Exploration Missions
Authors: Zhang Beiming , Sun Wei , Ye Jianshe , Liu Ying , Ma Junfeng , Song Xingxue , Li Chenyang
Published: January 2024

With the acceleration of deep space exploration missions such as the moon, mars and asteroids, planetary protection has become an important issue that must be faced. In the near future, astronauts will perform extraterrestrial celestial operations in more distant and complex unknown environments, which may lead to a large increasing in probability and uncertainty of carrying unknown microorganisms after the spacecraft returning to the earth. From the perspective of protecting astronauts and the Earth's biosphere, it is necessary to conduct safe isolation and protection for astronauts returning from the outer space. In this paper, biological isolation and protection technologies at home and abroad are studied. For China’s future manned deep space exploration missions, we carry out a demand analysis, and propose a design scheme of isolation protection platform.
Strategies and Practices of Renovating Old Buildings and Urban Renewal
Authors: Li Tianjiao
Published: January 2024

This research aims to explore methods and strategies for the renovation of old buildings to meet the demands of urban renewal and cultural preservation. In the process of modern urbanization, the preservation and renovation of old buildings have become significant topics. However, constraints such as financial limitations, technological challenges, and societal obstacles to cultural awareness and understanding have hindered the renovation process. This study examines typical cases from both domestic and international contexts, delving into the technologies and methods employed in the renovation of old buildings. It investigates strategies related to policy regulations, social involvement, and environmentally friendly materials. Employing a methodology of literature review and case analysis, the study highlights key technologies including modern material application, green building concepts, and earthquake resistance. The research findings indicate that the renovation of old buildings while protecting cultural heritage, can enhance urban image and promote sustainable development. Through comprehensive analysis, this study concludes that policy support, social engagement, and technological innovation are pivotal factors in the renovation of old buildings. It emphasizes the need for collaborative efforts among governmental bodies, property owners, professional associations, and other stakeholders to achieve a virtuous cycle of urban renewal and cultural heritage preservation.
Prospect Of CAR-NK Cell In Tumor Immunotherapy
Authors: Jiang Yanyu
Published: January 2024

The innate immune system has gained significant interest expected to the impressive natural killer (NK) cells ability to surveil and combat pathogens, regardless of major histocompatibility complex. Following the resounding success of CAR-T cell therapy, there has been a burgeoning interest in harnessing the NK therapeutics potential in recent years. Owing to its clinical triumphs, which those achieved by CAR-T cell therapy, this subject has garnered a discernible level of fascination. A captivating realm of investigation within tumor immunotherapy lies in delving into chimeric antigen receptor (CAR) engineering applied to. In the wake of the astounding achievements witnessed with CAR-T cell therapy for CD19 hematologic disorders, CAR-NK cells are emerging as an auspicious adjunctive strategy to cellular therapy following CAR-T cells. It is intriguing that CAR-NK cells exhibit comparable efficacy against malignancies as demonstrated in CAR-T cell therapy, and preliminary clinical investigations have yielded promising outcomes. review aims to furnish a meticulous synopsis of the advancements in CAR-NK cell treatment, encompassing methodologies for generating and genetically manipulating CAR-NK cells. Additionally, it examines the obstacles and future possibilities associated with utilizing CAR-NK as an advanced form of immunotherapy against cancer. The primary aim of this prospective study is clarify reasons behind implementing CAR-NK as a novel approach to anticancer immunotherapy.
The Development and Implementation of the Digital CNY
Authors: Hu Baosheng
Published: January 2024

With the growing development of digital economic and network industry, digital RMB will become an important element of digital finance in China's digital economy. This paper analyses the design features, research and development motivation and other principles of digital RMB over the years, compiles the development process and operation mechanism, and discusses the future tendency of digital RMB to give some development suggestions. Firstly, the digital RMB needs to speed up the legislative process to avoid the frequent occurrence of crimes. Secondly, as a member of the leading development team, digital RMB can be considered to be promoted to the international market to facilitate cross-border transactions and international communications. Finally, the digital RMB is currently being piloted in a single scene and needs to be transformed into a wholesale digital currency in order to be more likely to avoid international risks and participate in international competition.
Yolov4 Algorithm for Target Detection in Existing Intelligent Waste Sorting Systems
Authors: Liu Pengshu , Zhang Xinyi , Xu Zhenyu
Published: January 2024

The problem of garbage sorting has caused a lot of trouble. Some target detection algorithms are being developed for the current situation of garbage sorting in China. In order to understand the current state of development, we investigate several algorithms suitable for object detection. This paper mainly analyzes three parts of yolov4 network model. In the backbone network, CSPDarkNet53 achieves dimensionality reduction through five convolution kernels, and MobileNetV3 replaces the activation function based on MobileNetV2 and uses MnasNet and Platform-Aware for optimization. Ghostbottleneck is obtained by superposition Ghost module, and then build GhostNet lightweight neural network.The principles of the three attention mechanisms are also explained，SENet using a single-channel convolution kernel，CBAM contains two plates Mc and Ms and CA has a length and width of the two channels. Finally, we explain a data enhancement where four random images are cropped and spliced together.
Development and Challenges of BIM in the Construction Industry in China and Australia
Authors: Shi Haotian
Published: January 2024

This article examines the application and development of Building Information Modeling (BIM) in the construction industries of China and Australia. The visual, coordination, simulation, and optimization characteristics of BIM provide a foundation for project management. In China, BIM has been widely adopted in major engineering projects, but it still faces challenges such as inactive design institutes, inconsistent data standards, and a shortage of BIM talent. BIM usage in Australia is relatively low, partially due to the lack of government enforcement. It is recommended to promote wider BIM application in various fields through training, resource support, establishing industry standards, and providing incentives. In summary, BIM technology holds significant potential for the future development of the construction industry, but overcoming various challenges is necessary to achieve its maximum benefits.
Enhancing Vegetable Sales Forecasting with A CNN-LSTM-Transformer Hybrid Model
Authors: Tian Aoxiang
Published: January 2024

Due to the short shelf life of vegetable products, a significant portion of the inventory cannot be resold the following day. To facilitate more informed procurement decisions in superstores and minimize vegetable wastage, this study proposes a hybrid prediction model based on CNN-LSTM-Transformer for enhancing the accuracy of forecasting vegetable sales volumes. Firstly, an LSTM model is incorporated to account for the recurring and seasonal variations in vegetable sales. Secondly, a CNN model is introduced to address the limitations of LSTM in capturing spatial data components. The convolutional and pooling layers of CNN help establish spatial relationships among different feature values in the dataset. Finally, a Transformer model is integrated to tackle the issue of long-term dependencies, which LSTM alone struggles to resolve. The Transformer model employs a parallel attention mechanism, eliminating temporal dependencies and effectively addressing LSTM's long-term dependency challenge. This integration also accelerates model training. The evaluation metric employed in this paper is RMSE (Root Mean Square Error). The three-year sales volume of 11 vegetable types is predicted using seasonal ARIMA, XGBoost, LSTM, CNN-LSTM, and CNN-LSTM-Transformer models. The results indicate that the CNN-LSTM-Transformer model achieves the lowest RMSE at 0.0758, followed by ARIMA at 0.0792, CNN-LSTM at 0.0830, XGBoost at 0.0858, and LSTM at 0.0913. These findings demonstrate that the CNN-LSTM-Transformer model exhibits superior accuracy in forecasting vegetable sales volumes, yielding more precise predictions. This accurate forecasting not only aids superstores in reducing waste and enhancing profitability but also assists government authorities in rationalizing vegetable subsidy policies and optimizing the vegetable production and marketing system.
Research on the Business Operating and Development of Sustainable Fashion Industry
Authors: He Yifei
Published: January 2024

The fashion industry is undergoing transformation, relying on the development of new materials and the upgrading of manufacturing processes to explore new spaces in the sustainable field. This paper studied sustainable fashion and analyzed the current development status and potential of the sustainable fashion industry by taking some companies as case studies, which included the overall market, sales, price strategies, business model and manufacturers, aiming to explore the promoting role of price or business model on the circular economy of the garment industry. The research, summarizes five factors that influence most consumers to buy clothing, and also Revealing the strong connection between consumer purchasing power and demand. Besides, sustainable fashion is sometimes more concentrated in certain categories, and some clothing categories have higher sustainability requirements than other clothing products. Last but not least, the analysis of business models and designers as well as the manufacturers were included to better evidence the potential and current condition for sustainable fashion. Finally, the work signifies the future development trend of the sustainable fashion industry and some better commercialization paths from multiple perspectives.
Analysis and Outlook of China’s Macroeconomics Situation for the Second Half of 2023
Authors: Zhao Zhipeng
Published: January 2024

This paper aims to gain an in-depth understanding of China's economic condition and future development trends through the analysis and outlook of the macroeconomic situation for the second half of 2023. This paper has conducted a comprehensive discussion from various perspectives, including economic performance review, future outlook, structural issues, policy recommendations, and risk analysis. By delving into the macroeconomic situation of China in the latter half of 2023, this paper primarily analyzes the existing economic issues in China from the standpoint of reviewing the economic situation in the first half of 2023, addressing structural concerns within industries, and examining potential global risks. Lastly, suggestions for relevant fiscal policies are proposed to address the question of how to sustain China's economic growth trajectory.
The Role of Cytokine IL-2 In Cancer Immunotherapy
Authors: Li Jinwu
Published: January 2024

Cancer remains a leading global cause of mortality, distinguished by its propensity for rapid proliferation, metastatic potential, and the ability to affect various organs with ease. If left untreated, it may lead to nerve compression, rupture of blood vessels, multi-organ failure, and may ultimately lead to the patient's death. The ability of immunotherapy to block signaling pathways that inhibit immune cell activation, enhance and amplify anti-tumor responses, or increase the amount of anti-tumor response cells makes it an important weapon in the fight against cancer. Among the key domains of cancer immunotherapy research, harnessing cytokines to invigorate anti-tumor reactions in cancer patients ranks as one of the foremost areas, given cytokines' capacity to regulate the host's immune reaction against cancer cells. Interleukin-2 (IL-2) is a recognized T-cell growth factor that has been used to treat metastatic melanoma. While extensive research has substantiated IL-2's potential in cancer therapy by impacting the immune system, its practical utility has encountered several constraints. This review centers on the diverse applications of IL-2-based cancer therapy, their underlying mechanisms, the associated limitations, and prospects for the future of IL-2 in the realm of cancer immunotherapy.
Research on Sports Training Model Based on Training 3D Modeling Technology
Authors: Zhu Lingguang , Xu Jian
Published: January 2024

The Visual C++ development environment is used, combined with computer simulation software programming and programs to realize the virtual reality of sports training, and realize the comprehensive attack drill of sports training in various sports training environments. Finally, a simulation study is carried out on the 3D model of basketball movement. Research has shown that simulation techniques are able to achieve better training scenarios than reality. It can be used for full attack practice in sports. This system provides a rich set of teaching methods for athletes' comprehensive attack, which helps athletes to have a correct understanding of various tactical systems in the game. It can promote the scientific development of sports teaching.
The Research on Recent Cancer Therapies and Their Side Effects
Authors: Yu Jiarui
Published: January 2024

Now the top cause of mortality worldwide, cancer. One in six deaths, or around 10 million deaths, were attributed to it in 2020. Every year, 400000 or so children are given cancer diagnoses. One-third of cancer-related deaths are attributed to factors including smoking, having a high body mass index, drinking alcohol, and not getting enough vitamin C. This study discusses the benefits and drawbacks of the most recent cancer treatments.
The Economic Impact of Artificial Intelligence in China And US
Authors: Zhang Andrew Tianen
Published: January 2024

Given the recent rise and popularity of ChatGPT along with many working robots and technology in general many questions have been raised. There is an ongoing concern about the security and privacy of society, whether AI will have complete control of it. Many different flaws and problems with the AI industry may initially be the concern of many: however, this paper is here to say those issues are not addressable without the innovation and the help of experts in the “AI arms race” as it has been labelled. The sudden surge that China has approached the industry as well as the already dominant US expertise creates a tense and desperate attempt to obtain superiority. Although the industry may be looked down upon as a breach of privacy, many big companies have invested large sums of money to develop the newest cutting-edge technology and aims to help economic growth through the production of AI. Jobs are being threatened through the development of the AI industry and the US and China are trying to mitigate the impacts whilst also finding the new talent and innovation necessary to move forward.
A Simulation Analysis of The Failure Mode of Series Stabilized Voltage Circuit with Restricted Electric Current Protection
Authors: Liu Yang , He Jing , Yan Nan , He Qian , Ding Guang
Published: January 2024

This paper uses the failure simulation function of multisim circuit simulation software to analyzes the characteristics of the fault mode of the series stabilized voltage circuit in normal state and three common limit tube breakdown, stabilizer breakdown and adjusting tube breakdown. Combined with the theoretical calculation of the circuit parameters in each fault mode,the correctness of the simulation analysis is verified.
Control of High-altitude Power Grid Inspection UAV Using Hierarchical PID Based on Reinforcement Learning
Authors: Chen Zihui , Xiao Xiao
Published: January 2024

Unmanned aerial vehicles (UAVs) are now being utilized in a wide range of work scenarios to replace humans in performing dangerous tasks and jobs. In the context of high-altitude power grid inspections, UAV inspections have significant advantages. However, the complex environment often poses challenges for controlling UAVs. Building upon traditional PID control, this paper uses MATLAB software to construct the dynamic model and controller of a quadcopter UAV. A cascaded loop is established by selecting the control objects for the inner and outer loops. The stabilization of the UAV is achieved by setting the PID parameters for the inner and outer loops. Additionally, the deep reinforcement learning algorithm is employed to fine-tune the PID parameters based on the Zigler-Nicholes method. The adjustment is performed by considering the reward function values for the UAV under different disturbances. Finally, response curves and dynamic response parameter indicators are obtained. Compared to traditional cascaded PID control, the quadcopter UAV system tuned using this method exhibits significant improvements in both dynamic response parameters and steady-state responses.