bluuebunny/crossref_metadata_2025 huggingface dataset:
Damage Inference of Truss Structure Based on Bayesian Updating
Authors: Liu Hongwei
Published: July 2024

In the long-term use of civil engineering structures, affected by natural disasters and man-made disasters, its performance gradually deteriorated, so it is very important to find structural damage in time. This paper discusses the problem of damage inference for truss structures, and uses Bayesian updating theory as a solution. By combining Bayesian updating with structural damage inference method, Monte Carlo sampling method is used for repeated variable experiment and analysis. The experimental results show that in a specific truss structure, when the load point is applied at a specific position, the experimental effect is the best. Moreover, with the increase of load and measuring points, the accuracy of experimental results is gradually improved. This method obviously improves the existing problems of the traditional method, and proves its effectiveness and accuracy. The combination of structural damage inference and Bayesian updating will bring more intelligent, reliable and efficient structural health monitoring and maintenance methods to the field of engineering construction. Realizing real-time reliability update and damage assessment of structures has a positive impact on improving the safety, sustainability and longevity of structures.
Research Progress of Image Segmentation
Authors: Ran Jiyuan
Published: July 2024

Image segmentation is an essential and challenging task in CV. It can be used in a massive scope including automatic driving, medical analysis and geological detection. In the early stage of the research, some researchers based on the geometry of the image, color space and other ways of semantic segmentation results are poor. Fortunately, with the flourishing of deep learning, great improvement has been gained in various deep learning-based image segmentation fields. At the same time, in the open world, semantic segmentation research is not limited to fixed categories or known categories, and some open-world semantic segmentation methods and reference semantic segmentation methods based on text description have also made great breakthroughs. This paper summarizes commonly used datasets for segmentation and introduces main ideas of popular algorithms in traditional, open-vocabulary and referring segmentation respectively. In the end, the important contribution of the paper is summarized and some suggestions regarding the future improvement of existing algorithms are given.
The Characteristics of Ultra-High Performance Concrete and Its Application in Structures
Authors: Zhang Kai
Published: July 2024

This paper mainly introduces a new engineering material-Ultra-High performance concrete (UHPC). By adding different aggregates to the mix, UHPC has a smaller packing density and higher durability, as well as higher compressive and tensile strength and other mechanical properties. The content of silica fume and the shape of steel fiber also affect the performance of UHPC. UHPC with hooked steel fiber has higher bond strength, which improves compressive strength. Due to its enhanced durability and mechanical properties, UHPC is used in a variety of architectural and structural applications, including building structures, finishes and cladding. Based on the project background of a children's playground platform in Chongming, Shanghai and Dongguan Binhai Bridge, this paper focuses on the application of UHPC in practical projects. The results show that the combination of steel and UHPC can provide high overall stiffness and safety. In the future, the different properties of UHPC when combined with different materials should be explored, so that UHPC can be more widely used.
Ethical and Legal Challenges of AI in Human Resource Management
Authors: Du Jiaxing
Published: July 2024

Artificial Intelligence (AI) has become a transformative force in Human Resource Management (HRM), enhancing recruitment, training, performance evaluation, and employee engagement. This paper examines the ethical and legal challenges associated with the integration of AI in HRM. Key ethical concerns include bias and discrimination, privacy and data protection, transparency and explainability, and the impact on job security and automation. Legal challenges revolve around compliance with data protection laws, anti-discrimination regulations, and labor laws. This paper provides recommendations for addressing these challenges through a comprehensive analysis of real-world case studies and relevant data through policy development, best practices, and future research directions. The goal is to contribute to the responsible and ethical use of AI in HRM, ensuring that its benefits are maximized while mitigating potential risks.
The Impact of Green Finance on the Profitability of Commercial Banks
Authors: Zhang Fangqun , Zhang Shiming
Published: July 2024

As global environmental problems are becoming more and more prominent, green finance, as an important means for commercial banks to cope with climate change and environmental pollution, has received widespread attention from the society. As a financial enterprise, the impact of green finance on the profitability of commercial banks is an important issue that needs to be discussed. In this paper, the impact of green finance on the profitability of commercial banks is analyzed theoretically, and the data of 16 commercial banks are selected as samples for empirical analysis, and the results show that green credit business has a negative impact on the profitability level of commercial banks. The results show that green credit business has a negative impact on the profitability of commercial banks. Subsequently, the paper puts forward relevant recommendations for commercial banks to respond to the empirical results. Finally, this paper also points out some shortcomings, including the limited data sample. Future research can further expand the sample scope, explore in depth the profitability of commercial banks' green finance business, and formulate more specific policy measures to promote the sustainable development of green finance.
Uric Acid Plays a Key Role in Hypertension and its Long-term Risk
Authors: Wang Yue , Li Ziyou
Published: July 2024

Hypertension is a chronic disease now prevalent in modern societies and is a separate heart failure threat. If leave unattended a lengthy amount duration, it may lead to long-term risks such as stroke or heart attack, kidney damage, osteoporosis, and even death. Human metabolism of purines results in uric acid, which may have a significant impact on the onset and subsequent risk of pressure. The connection that exists among uric acid and hypertension was found to be progressively observable in Mendelian randomization studies, but no further strong subsequent studies have been conducted as of 2021 to illustrate the relationship. Meta-analysis studies have shown a potential link between elevated uric acid levels and an increased risk of hypertension, However, there is still a need to investigate the potential benefits of uric acid-lowering medications in reducing the risk of hypertension. Previous studies involving large sample sizes have indicated a positive association between uric acid levels and the likelihood of developing hypertension, but there is some geographic variation in the studies and the conclusions are limited and difficult to generalize. Multiple studies have given possible mechanisms at the mechanistic level for uric acid triggering hypertension or long-term risk, but the evidence-based value is low, giving no strong proof in terms of its relevance and continuity. This paper summarizes the existing evidence in the above points, puts forward its own insights, and looks forward to the future direction of scientific research, with a view to providing some references for future researcht.
Construction of a Legal System for International Cooperation on Natural Gas Pollution Control under a Community with A Shared Future for Mankind
Authors: Zhao Laiyi , Zhao Laiyi
Published: July 2024

In order to prevent the deterioration of natural gas energy pollution, it is necessary to build a legal system of international cooperation, clarify the responsibility distribution system, and innovate the existing regulatory mode. We will introduce cooperative supervision and joint governance in traditional regulation and enhance global cooperation. The choice of this system is in line with the display demand of global energy and environmental pollution risk supervision, conforms with the trend of global cooperative governance, in line with the value concept of a community with a shared future for mankind, and has positive significance for the optimization and sound development of the system. However, at the present stage, the regional contradictions are prominent, the competition for energy is fierce, the lack of systematic international legal norms, the regulatory system has not been constructed and improved, and the rigid operation mechanism is not smooth. In the common vision of the global destiny of mankind, the collaborative innovation of international energy and environment law and domestic energy and environment law is legitimate, and the two goals are consistent. In view of this, the overall concept of legal construction of natural gas environmental pollution cooperation between international law and domestic law is emerging. Based on the holism thinking of the construction of gas environment pollution cooperation legal system, require countries to fulfill their duties and obligations under international law, and in the rule of law and the rule of law thinking reflect the international consensus, not only pay attention to establish and perfect the public regulations and private law relief synergy comprehensive legal mechanism, and based on energy and environmental protection of systematic, international to promote the construction of global gas environment pollution cooperation legal system.
Research on the Relationship Between Marketing Strategy of Contemporary TikTok E-commerce Platform and Young People's Consumption Motivation
Authors: Su Chen
Published: July 2024

This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. Please make the page settings of your word processor to A4 format (21 x 29,7 cm or 8 x 11 inches); with the margins: bottom 1.5 cm (0.59 in) and top 3 cm (1.18 in), right/left margins must be 2 cm (0.78 in). This paper will focus on the structural framework of "Case background introduction - SWOT model analysis - Optimizing marketing strategy and its impact on young people's consumption motivation". First, in order to clarify the relationship between the marketing strategy of the contemporary TikTok e-commerce platform and young people's consumption motivation, this study chooses the 2023 "Double Eleven" TikTok e-commerce shopping Festival as the main analysis case and makes an overview of it. Secondly, in the context of the contemporary Internet, SWOT model analysis and interpretation of the marketing strategy of TikTok's e-commerce platform are carried out. Finally, the paper evaluates the relationship between the improvement of the marketing strategy of the contemporary TikTok e-commerce platform and young people's consumption motivation, puts forward the impact of this relationship on the social economy, and puts forward prospects. By optimizing corresponding marketing strategies, the relationship between young consumers and merchants is effectively coordinated, which not only has a positive effect on the consumer psychology of consumers but also plays a role in promoting the future development of the TikTok e-commerce platform.
Overview of Beidou 3 Precision Single-point Positioning
Authors: Dai Jun
Published: July 2024

With the increasing maturity of precision point positioning (PPP) technology, PPP-B2b becomes the research focus and hot spot of real time PPP (RT-PPP). This paper firstly introduces the service of PPP with B2b signals, sum-marises the research progress of B2b signals in terms of availability, correction effect and positioning accuracy under different conditions and environments; the influence of choosing different filtering methods on positioning accuracy during the positioning process; and discusses the future development trend and challenges faced by PPP-B2b.
Application of Biochips in Cancer Diagnosis
Authors: Ouyang Wen
Published: July 2024

Cancer biomarkers play an important role in understanding tumor location and physiological activity. With the development of interdisciplinary technology, biochips are promising as the main tools for detecting biomarkers. Biochip refers to a microarray hybrid chip with a high-density roof of bioinformation molecules on a solid phase supporting medium, and the principle of microfluidic chip is different from that of ordinary biochips, which is mainly based on the principle of microfluidic mechanics. Biochips have a wide range of applications, playing an important role in the detection of gene expression levels, gene diagnosis, drug screening, personalized medicine, sequencing, bioinformatics research, and other fields. This paper will focus on the mechanism of three main biochips, combined with the principles of different biochips to explain the application and development of biochips in the field of cancer stage and explore the advantages and disadvantages of various biochips.
Research on the measurement of general risk preference based on multivariate statistical analysis methods
Authors: Guang Jiachen , Shi Xuyi
Published: July 2024

It is of great significance to study general risk preference for different populations to take targeted interventions to reduce potentially risky behaviors. In this paper, the results of Balloon Analogue Risk Task (BART) experiment are analyzed by single factor analysis of variance. Through this analysis, it is found that there are significant differences in people's general risk preference in different situations. Then, This paper is based on BART experiment and risk propensity questions and Frequency of General Risk Propensity Scale (GRiPS), Socio-Economic Panel (SOEP) Results of three questionnaires on Risky Behaviours (FoRB) were used to measure general risk preference using exploratory factor analysis. Then, cluster analysis is used to explore the performance of different risk preferences under different characteristics. The empirical analysis shows that the group with high risk preference has larger data on the two factors of GRiPS and SOEP, while the group with moderate risk preference has more balanced values on the four factors of BART, GRiPS, SOEP and FoRB. The risk-averse group has lower scores on GRiPS, SOEP and FoRB. According to the above conclusions, for specific things, relevant targeted measures can be developed to minimize the impact of potential risks or injuries on people's personal safety and property safety.
Analyzing the Strategic Importance of Customer Relationship Management in the Digital Marketing Era
Authors: Wang Sheng
Published: July 2024

In the current digitally driven business environment, this paper delves deep into the strategic value and core position of Customer Relationship Management (CRM) in the field of digital marketing. It thoroughly explores the functional positioning and operational mechanisms of CRM in digital marketing, analyzes the role and impact of CRM in digital marketing, and reveals the importance of effective customer relationship management for companies to gain a competitive advantage in a digital environment. Furthermore, it discusses how to leverage artificial intelligence, big data, cloud computing, and other applications to support and optimize CRM implementation, and addresses potential challenges that companies may face in implementing CRM strategies. Additionally, it provides some strategic recommendations and future research directions.
Doing Gender in The Era of Digitalization: How Beauty Influencers Achieve Stable Income
Authors: Zhang Xinyue
Published: July 2024

Social media has changed the way people communicate with each other. It has overcome geographical distances and people can easily communicate and interact with others through social media platforms. At the same time, social media has become a channel for many people to shop online. On the other hand, through social media, people can also earn some income in different forms. This paper uses Xiaohongshu as a social media platform to discuss how beauty influencers can earn a stable income by doing gender. On the platform of Xiaohongshu, this study selects the videos posted by two famous female beauty bloggers: CHENG and XIE as the research targets and analyzes them to study how they make profits through the definition of contemporary women. The study concludes that beauty influencers utilize their gender identities and the way they present themselves to generate a steady income by partnering with beauty brands or setting up their own beauty brands to sell their products, as well as cashing in on their traffic by inserting advertisements into their videos to generate advertising revenue fees. The significance of this study is to help these influencers better understand their business models and revenue sources and to provide practical advice and strategies that can help them achieve better survival and development in the competitive online environment. At the same time, this can also provide useful references and lessons for the entire field of social media marketing and influencer economy.
Fe-S Co-doped Porous Carbon Catalyzed Oxidation and Degradation of Dye Wastewater
Authors: Wang Ziyu , Wang Yi , Xing Bo , Zhang Fuping , Jiang Liang , Gao Chao , Tang Kunbiao
Published: July 2024

In this paper, Fe-S co-doping method of "one-step blending + high temperature carbonization activation" was used to prepare highly efficient Fenton-like catalyst. Rhodamine B (Rh B) was used as the research object, and H2O2 was used as the oxidant to catalyze the oxidation and degradation of Rh B. The important process conditions (reaction pH, reaction temperature, H2O2 addition, catalyst addition) were optimized, and the reaction mechanism and stability of the catalyst were investigated. The experimental results show that the initial concentration of Rh B is 50 mg/L, n(Fe): n(S) = 1.8:1, C source 9 g; Under the conditions of reaction pH = 2, reaction temperature 50℃ and catalyst dosage 0.02 g, the degradation rate of Rh B can reach 91.17%. XRD, BET and FT-IR results show that the prepared catalyst has good pore structure and abundant functional groups on its surface. The kinetic results show that the oxidation and degradation of Rh B by Fe-S co-doped Fenton-like catalyst conforms to the quasi-first-order kinetic model. The experiment results of free radical quenching show that the reaction process is controlled by many kinds of free radicals. After repeated use for 3 times, the degradation rate of the catalyst decreased from 91.05% to 85.76%, and recovered to 88.32% after thermal regeneration, showing good repeatability and thermal stability.
Intelligent Question and Answer and Dialogue System
Authors: Ma Xin
Published: July 2024

This article discusses the development and application of question answering systems in the context of artificial intelligence and natural language processing. It highlights the importance of these systems in resolving user queries and providing accurate and relevant answers. This paper highlights the need to design question answering systems according to established rules and guidelines and use machine learning techniques to improve their performance. It also mentions the emergence of advanced question-answering systems such as IBM Watson, which leverage natural language processing and machine learning to provide more complex answers.
Chinese Population Change and Economic Development in a Hundred-Year: Past, Current, and Future
Authors: Li Jiayuan
Published: July 2024

Population is a key factor which influences economic development for a region or a country. The change of maternity policies must cause internal change to the social economic status. This comprehensive essay introduces how the Chinese population changed based on its different periods of maternity policies over a hundred years. At the same time, this essay has a deepen analysis of the correlations and implications between Chinese population change based on its birth rate and economic development in a hundred years. The main findings reveal a significant correlation between the evolution of China's maternity policies and its economic development trajectory. The essay's thesis argues that strategic adjustments in population policies have been pivotal in shaping China's economic landscape, impacting labor markets, urbanization, and social welfare systems. Based on the analysis of maternity policies in different periods and discussions on theories about population change and economic development, this essay provides multi-dimensional policy suggestions. These include enhancing support mechanisms for families, promoting gender equality in the workforce, investing in human capital, and adjusting immigration policies to ensure a balanced and sustainable demographic and economic future. These suggestions aim to offer a comprehensive strategy under the complex situation of population growth and economic development in the future, navigating China towards a sustainable economic model that harmonizes demographic changes with economic demands.
Analysis on the Contributing Factors to Individuals’ Tendency of Overconfidence
Authors: Wang Zizheng
Published: July 2024

Accordingly, more than 50% of the US citizens consider themselves more attractive than average, which reveals a tendency in modern society of people feeling overconfidence. In this essay, I will investigate the 4 factors contributing to the overconfidence prevailing the modern society in an psychological aspect.
Two laws of Spatially Coherent Superposition of Eigenmodes
Authors: Xu Geyang
Published: July 2024

Unlike conventional light sources, lasers possess unique characteristics such as coherence and focused nature. Consequently, numerous applications of laser beams can be enhanced according to their spatial distribution characteristics. This paper presents two patterns of change in the intensity distributions of Hermite Gaussian beams regarding the impact of variables, including relative phase, intensity coefficient, and order of indexes. By conducting simulations in Matlab, we generate various patterns of Hermite Gaussian beams by adjusting parameters such as order indexes, relative phase, and intensity coefficients. The superposition principle is then applied to calculate the spatial intensity distribution of the combined laser beams. Our results indicate that as the order of indexes increases, the complexity of spatial distributions also increases. We analyze the symmetry and rotational properties of the Hermite Gaussian modes, revealing reflection and central symmetries, as well as rotational changes concerning the relative phase. Our discussions focus on exploring the potential for generating complex optical fields and theoretically validating experimental feasibility. We provide a schematic representation of the generation process for complex structured optical fields.
The Impact of Fed Rate Hikes on Tech Company Stock Prices: Microsoft as an Example
Authors: Shao Zhenyu , Zheng Siyuan
Published: July 2024

This paper analyzes, from a third-person perspective, the impact of the fiscal and monetary policies adopted by the United States since the outbreak of the COVID-19 epidemic in 2020 on the international financial market and the stock prices of large, listed companies, with a particular focus on the impact of the Fed's interest rate hike on the stock price of Microsoft Corporation. Through time series analysis methods, including ARIMA model, the study reveals the short-term effects of the interest rate hike policy on the U.S. dollar exchange rate and Microsoft's stock price. The results show that the interest rate hike significantly affects Microsoft's stock price, demonstrating the profound impact of macroeconomic policy changes on the micro market. This study not only fills the gap of specific case studies on the impact of the Fed's interest rate hike but also provides new perspectives for understanding the impact of macroeconomic policies on individual firms' stock prices. The study emphasizes the need for investors and policymakers to consider the potential impact of macroeconomic policy changes on the stock market. For investors, this means considering future trends in monetary policy when making investment decisions, and for policymakers, taking into account the impact of policy adjustments on the stability of international financial markets, particularly on the stock prices of major global firms, when adjusting policies to promote the healthy development of the global economy.
Leukemia Treatment Based on CRISPR Genome-Editing Technology
Authors: Liu Yiting
Published: July 2024

By reviewing the literature and summarizing and refining it, this research investigated the various ways in which CRISPR gene editing technology can treat the leukemia pathology, and this research will look forward to the future application of CRISPR-based gene editing technology. At present, there are two main ways to apply CRISPR technology to influence leukemia treatment. The first is to directly knock out a known disease-causing gene to inhibit the proliferation of harmful cells, thus delaying the disease and realizing the purpose of leukemia treatment. The other is to indirectly inhibit leukemia by inserting a certain gene through the CRISPR gene editing technology to achieve the inhibition of the expression of disease-causing genes. However, the current direction of research by using CRISPR technology to explore the pathogenesis of leukemia and disease-causing genes is relatively small. In the future, more research and experiments can be conducted to explore the pathogenesis and causative genes of leukemia by applying CRISPR technology.
Research On Vegetable Replenishment and Pricing Optimization Decision Based on Time Series Prediction and Monte Carlo Simulation
Authors: Fan Songling
Published: July 2024

For large fresh supermarket, how to reasonably specify the replenishment and pricing strategy of vegetable commodities is very important. In order to give a reasonable replenishment decision, this paper conducts correlation analysis at first, including cost plus pricing strategy and correlation test. And then analyzes the relationship between sales volume and selling price by using neural network regression and scatter plot matrix, and finds that there is no obvious functional correlation between them. The paper use time series forecasting methods, including simple seasonal analysis and Winter multiplication model, to forecast sales volume and wholesale cost. Finally, the linear programming model was used to determine the total amount of replenishment and markup rate of each category of vegetables in the next week, and the corresponding income situation was obtained. The results of comprehensive analysis show that the replenishment volume, markup rate and income of different categories have dynamic fluctuations, reflecting the changes of demand and market.
How Environmental Regulations Impact Carbon Emissions
Authors: Zhang Fengling
Published: July 2024

Achieving the "dual carbon" goals is crucial for China's sustainable development. From the perspective of industrial structure upgrading, using panel data from 279 prefecture-level and above cities nationwide from 2007 to 2021, this study empirically examines the effect of environmental regulations on carbon emissions and their underlying mechanisms. The research findings are as follows: (1) Environmental regulations significantly suppress carbon emissions, a conclusion robust across various sensitivity analyses; (2) From the viewpoint of industrial structure upgrading, utilizing panel data from 279 prefecture-level and above cities nationwide from 2007 to 2021, this study empirically examines the effect of environmental regulations on carbon emissions and their underlying mechanisms. The research findings are as follows: (1) Environmental regulations significantly suppress carbon emissions, a conclusion that remains robust after rigorous testing; (2) The mediating effect indicates that environmental regulations influence carbon emissions through promoting industrial structure upgrading; (3) Heterogeneity analysis reveals that the carbon emission reduction effects of environmental regulations are more pronounced in western region cities, resource-based cities, and non-resource-based cities. From the perspective of industrial structure upgrading, this study provides new empirical evidence and detailed transmission mechanisms regarding the causal relationship between environmental regulations and carbon emissions.
Gray Relation Analysis of Human-caused Accidents in the Oil Industry
Authors: Zhu Guanlong
Published: July 2024

Aiming at the characteristics of petroleum production accidents, such as high potential hazards, large economic losses and wide range of influence, in order to better formulate the accident risk management policy, it is necessary to have a deeper understanding of the reasons for the occurrence of accidents. By combing the accident investigation reports of the petroleum industry in recent years, we can effectively reduce the possibility of accidents by analyzing the direct and indirect causes of human-caused accidents based on the gray relation system from the human-caused aspect, identifying the main influencing factors and taking targeted preventive measures.
Study on the Impact of Sex Ratio Changes in Lamprey on the Ecosystem and Its Stability
Authors: Shen Bin , Li Ruiqi
Published: July 2024

Different species adopt different survival strategies. For lampreys, adaptive changes in sex ratio are crucial for their survival and reproduction. Then, we aim to find out how the change of lampreys’ sex ratio affect the ecosystem. Firstly, by expanding the Lotka-Volterra equations to three species and species competition models, we find that an increase in the male-female ratio of lampreys under different food resources leads to higher peaks of population, more pronounced fluctuations, and greater threats to their prey. Secondly, applying a method to calculate stability index with species’ biomass, we discussed the impact of lampreys’ sex ratio changes on ecosystem stability with species that are ranked by PageRank algorithm. When male-female ratio increases, the ecosystem tends to become unstable. In conclusion, adaptive changes in lampreys’ sex ratio has a great effect on their survival and reproduction. Therefore, studying the effects of lamprey sex ratio changes on ecosystems will contribute significantly to addressing the current issues.
Relationship Manipulations and Their Impact on Individuals’ Development
Authors: Shen Catherine
Published: July 2024

In the contemporary fabric of society, the tapestry of interpersonal connections weaves a profound impact on the emotional and psychological landscape of individuals. Among the intricate threads of relational dynamics, the looming shadow of manipulative behaviors casts a growing concern. Emotional manipulation, as elucidated by Dr. Harold Hong and Kara Nassour, delineates a complex interplay of influence, rooted in deep-seated behaviors or unresolved childhood wounds. This nuanced concept is initially introduced and subsequently unfurled within the introductory segment. Within the intricate dance of relationships, manipulative tactics unfurl like tendrils seeking to ensnare, control, or deceive partners, often sowing seeds of discord and disillusionment. The gravity of this issue reverberates through its capacity to inflict profound emotional turmoil, fracture the bedrock of trust, and corrode the very essence of relational vitality.
Grasp the Pen of Rural Revitalization and Paint a Picture of "Green, Rich, and Beautiful"
Authors: Tian E
Published: July 2024

The mountains are greener, and the water is greener. From relying on mountains for a living, to relying on mountains for nourishment, green mountains and clear waters are the cornerstone of our happiness. The beautiful ecological environment has improved the quality of life of villagers. Moving from impoverished areas to common prosperity is a common aspiration of farmers, and the key and difficulty in solving this problem also lies in rural areas. One step, thousands of miles, and one dust turns into a mountain. "China's rural revitalization" tells the world that "the future of rural areas" needs to take a win-win path of coordinating urban-rural construction, economic development, and ecological environment protection. It takes the transformation path of "green mountains and clear waters" and "golden mountains and silver mountains" to create a new path for China's modernization.
Classification and research status of tumor vaccines
Authors: Yang Jiaqi
Published: July 2024

As an emerging biological therapy, the classification and research status of tumor vaccines are of great significance for cancer prevention and treatment. This article aims to explore the classification of tumor vaccines and their current research progress. There are two main categories of tumor vaccines: preventive tumor vaccines and therapeutic tumor vaccines. Preventive tumor vaccines aim to prevent the occurrence of tumors by stimulating the body's immune system, while therapeutic tumor vaccines aim to use the immune system to eliminate existing tumor cells. In recent years, significant progress has been made in the research of tumor vaccines. Preventive vaccines such as HPV vaccines have shown significant effects in preventing cervical cancer. In terms of therapeutic vaccines, although still facing many challenges, multiple clinical trials have confirmed that they can enhance the immune system's ability to attack tumor cells, thereby prolonging survival and improving quality of life. Especially tumor vaccines based on mRNA technology are considered a highly promising therapeutic approach due to their unique advantages in activating specific immune responses. Overall, the field of tumor vaccines is still in a rapid development stage, and future research will focus more on their safety, effectiveness, and broad spectrum. With a deeper understanding of tumor immunology and immune escape mechanisms, tumor vaccines are expected to become an important component of cancer treatment.
The New Roles and Significance of Public Open Spaces in Cities in the Post-pandemic Era
Authors: Zhao Zhenghui
Published: July 2024

The outbreak of the COVID-19 pandemic has caused many changes in society, and people's living habits and needs have also changed as a result. Traditional urban spaces are no longer able to meet people's demand for spatial openness today. However, public open spaces, as an important component of cities, have great potential in the post-pandemic era due to their combination of public and openness. Therefore, this article aims to study its new functions in cities in the post-pandemic era. By analysing previous research results and practical cases, this study explores the new roles and significance of public open spaces in neighbourhoods, public health, and commercial economy. Through research, it is found that in the post-pandemic era, public open spaces can serve as new social spaces in neighbourhoods, effectively alleviate the pressure in public health, and promote economic recovery and development in the commercial economy. These research findings not only indicate that public open spaces will play an important role in the post-pandemic era, but also enable people to learn how to utilize public open spaces more efficiently.
Preface: 3rd International Conference on Education, Psychology, Humanities and Historical Research (EPHHR 2024)
Authors: Sheridan Belinda , Zhang Qi
Published: July 2024

The 2024 3rd International Conference on Education, Psychology, Humanity and Historical Research (EPHHR 2024) was successfully held in Chicago, USA from May 18 to 19, 2024. The theme was approached from a variety of different perspectives, taking full advantage of the international diversity of the attendees with their myriad experiences. The main goal of the EPHHR 2024 is to provide an opportunity for academicians and professionals from various education, psychology, humanities and history related fields from all over the world to come together and learn from each other. An additional goal of the conference is to provide a place for academicians and professionals with cross-disciplinary interests to meet and interact with members inside and outside their own particular disciplines.
This scientific event brings together many international researchers. On top of the local participants coming from different national universities, international participants are also registered from different countries. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-8 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches. EPHHR will be held every year to make it an ideal platform for people to share views and experiences in related areas.
Organizing Committee of EPHHR 2024
Chicago, USA
Research On the Legal Problems of Minors' Internet Consumption in The Context of Chinese Law
Authors: Wang Weining
Published: July 2024

The rise of minors' online consumption disputes in China has been caused by the country's expanding internet user base, particularly within younger demographics. This paper focuses on the problems in minors' online consumption by examining two typical cases, Zheng v. Mellywood Company and Zhang v. A Digital Technology Company. It identifies three main legal canonical issues: recognition of the subject of minors, determination of the efficacy of online consuming behaviors of minors, and retroactive confirmation of the validity of minors' online consumption by the representative-in-law. This paper utilizes qualitative analysis to explore the inadequacies of current Chinese legal frameworks in protecting minors from online consumption. Through a jurisprudential review and comparative legal analysis, this paper suggests a critical gap in regulating minors' online consumption in China, emphasizing the need for legislative and regulatory reforms. Then this paper proposes a set of suggestions to appease disputes in the online consumption of minors. These include adopting the merits of international legal exception regulations, introducing effective oversight mechanisms, and providing more precise legal definitions concerning minors' online activities. It also suggests that a combination of refined legislation and improved regulatory oversight could significantly mitigate the risks associated with minors' online consumption.
The Mechanism of Action of IL-2 in the Tumor Microenvironment and its Application in Melanoma
Authors: Chen Jiayi
Published: July 2024

Cancer, the leading cause of death worldwide, causes a large number of deaths each year and this number is expected to increase with the aging of the population. In this context, it has become particularly important to study and understand in depth the role of cytokines in the tumor microenvironment (TME). Cytokines, particularly interleukin 2 (IL-2), are key regulators of the human immune system and play a pivotal role in the TME.IL-2 plays a crucial role in regulating immune cell proliferation, differentiation, and function, thereby influencing the body's immune response to tumors. However, signaling by IL-2 and its receptor (IL-2R) may be dysregulated in TME, and this dysregulation has profound effects on tumor growth and anti-tumor immune responses. Specifically, dysregulated IL-2 signaling may promote tumor growth and spread while suppressing the body's immune response to the tumor. Translated with DeepL.com (free version) This review summarizes the mechanism of IL-2 and its signal pathway in the TME according to the current popular clinical research object. Based on the side effects of IL-2 during clinical application (such as short half-life and toxicity of high doses of IL-2), this article introduces a new strategy for developing IL-2-cytokine immunotherapy in melanoma treatment. Together, this work aims to provide readers with a timely view of the field of engineered IL-2, highlighting a more promising avenue for future research and development.
Research on Design and Application of Steel Structure in Building Construction
Authors: Qu Zhiyang
Published: July 2024

Steel structure has been widely used in the design and construction of large venues because of its high strength, light weight and good seismic performance. However, because of the need to consider its seismic performance and instability, how to better design and construction of steel structures is particularly important. This paper starts from three aspects: steel structure stability design method, steel structure optimization design method and steel structure earthquake resistance method. The balance method, energy method and dynamic method of stability design are summarized. The case of folded string steel truss structure is summarized and analyzed, and the feasibility of the steel structure stability design method combining shape optimization and topology optimization is obtained. In addition, for the steel structure seismic, pushover analysis method and the incremental dynamic analysis (IDA) method are used. Finally, this paper summarizes the shortcomings of stability design, optimization design and seismic design in the field of steel structure design.
A study of the Relationship between Corporate Compliance and the Loyalty of Gig Practitioners --Takeaway Platform Enterprises as an Example
Authors: Xie Xin
Published: July 2024

With the development of the digital economy, the structure of the labor force has been transformed, and the gig economy has become one of the new employment avenues in China. Influenced by the characteristics of the gig economy itself, gig practitioners present high turnover rates and difficulties in guaranteeing service quality. These problems reflect the lack of loyalty to the enterprise on the part of gig practitioners and the difficulty in managing the enterprise. This study uses psychological contract and social exchange theories to conduct research on the loyalty of gig practitioners by corporate organizational compliance of takeaway platform enterprises and introduces job security as a mediating variable. This paper analyzes three variables through the literature research method to explore the correlation between the dimensions of organizational compliance rights and benefits protection and value identity of takeaway platform enterprises and the loyalty of gig practitioners. Discusses the mediating role of job security of casual laborers in the influence of rights and benefits and value identity on their loyalty.
Emerging Materials for High-Efficiency Blue Organic Light-Emitting Diodes (OLEDs)
Authors: Yang Han
Published: July 2024

OLED plays a vital role in the realization of full-color display and lighting solutions. However, the development of blue OLED faces many challenges, such as energy gap issues, stability, and efficiency. This paper aims to explore the key role that advances in materials science and physics have played in the improvement of blue OLED technology. Firstly, the importance of the HOMO-LUMO energy gap in blue OLEDs for luminescence color is illustrated by explaining the electroluminescence process in organic compounds, with special attention to exciton formation and recombination mechanism. Subsequently, advances in light-emitting materials in blue OLED, including the development of phosphorescent materials and TADF materials, are discussed in depth, and examples from recent research papers are cited. In addition, strategies of molecular design in improving the stability of blue luminescent materials are discussed, and case studies of relevant research papers are provided. In terms of device structure and material selection, this paper analyzes the development of host materials and transport materials and introduces the influence on the performance optimization of blue OLED. Finally, the challenges faced by blue OLED materials and possible breakthrough directions for future materials science research are discussed.
Research on New Thermal Insulation Material -Silica Aerogel
Authors: Zheng Ziliang
Published: July 2024

Energy consumption generated by buildings accounts for a large proportion of global energy consumption. As a material that can reduce building energy consumption, thermal insulation materials have an increasing impact on buildings. In China, many buildings use traditional thermal insulation materials, which have great drawbacks, not only the thermal insulation performance is general, the cost is high, but also harmful to human health. The purpose of this paper is to find a new type of thermal insulation material - silica aerogel, and analyze its properties, thermal insulation effect, and application in the field of construction. Through various comparative analysis, the most sustainable silica aerogel material type was found. The final results show that the thermal insulation properties of silica aerogel are superior to traditional thermal insulation materials, and the most sustainable one can be found in various synthetic silicone aerogel comparisons. The results can provide reference for the selection of building insulation materials.
Research on Pricing Strategy of Vegetable Commodities Based on BP Neural Networks
Authors: Niu Shitan
Published: July 2024

This study aims to optimize the replenishment strategy of vegetable category in fresh supermarkets and explore the relationship between vegetable sales volume and pricing by analyzing the sales data using EXCEL, SPSS, and MATLAB. In data preprocessing, we dealt with missing values and abnormal data, and found that the flower and leafy vegetables had the largest and stable sales share. After the unsatisfactory linear fitting model through SPSS, we turned to BP neural network for pricing prediction, considering the correlation between time and sales volume. Our findings provide a reference for superstores to develop more accurate pricing strategies, which can help improve their competitiveness and sustainability to meet the challenges of market changes.
Research on Supermarket Layout Optimization based on SLP and AHP-FCE
Authors: Ren Shichang
Published: July 2024

The layout of a supermarket directly impacts customers' shopping experiences and operational efficiency. A well-designed layout facilitates smooth shopping experiences for customers while enhancing the operational efficiency and profitability of the supermarket. With the impact of e-commerce on traditional retail, redesigning supermarket layouts holds significant importance. This paper takes the layout planning of M Supermarket as a case study. It begins with on-site inspections and the creation of a floor plan. Subsequently, random surveys are conducted with customers who have completed their shopping. Instead of traditional SLP using the flow of goods, customer foot traffic is considered to refine non-logistical factors, resulting in relative position maps and feasible supermarket layout proposals. Finally, the effectiveness of both old and new layout schemes is evaluated using the AHP-fuzzy comprehensive evaluation method.