bluuebunny/crossref_metadata_2025 huggingface dataset:
Hand-Written Number Classification by Hardware Neural Network
Authors: Wang Jiaxiang
Published: December 2024

This study explores the application of hardware neural networks for handwritten digit recognition, focusing on the implementation of the perceptron model. Handwritten digit recognition is a key technology in fields such as automatic postal sorting and bank cheque processing. In this work, a hardware neural network based on Frank Rosenblatt’s perceptron model is employed to efficiently process and classify handwritten digits. The system utilizes Verilog and VLSI technology to handle inputs in a parallel and pipelined fashion, greatly reducing computation time compared to traditional serial methods. Specifically, the designed system can recognize all ten digits in just 392 clock cycles, demonstrating significant improvements in efficiency while maintaining accuracy. Parallel processing and pipelining techniques are used to optimize performance, and experimental results show accurate identification of the test images. This research highlights the potential of hardware-based neural networks in applications such as embedded systems and IoT, emphasizing the role of hardware acceleration in advancing artificial intelligence technologies.
The rebels of the disorder of time and space in the city —— Taking “Love of a Fallen City” as an example
Authors: Deng Yuyi
Published: December 2024

This study takes Zhang Ailing ‘s classic novel “ Love in a Fallen City “ as the object, and deeply discusses the embodiment of urban space-time background in literary works and its relationship with the fate of characters. Firstly, it analyzes how the disordered space-time is expressed in the novel. Furthermore, it explains the integration and dislocation of time and space in the novel, and its profound influence on the fate of the characters. In addition, the study also focuses on the representation of urban space-time disorder, as well as the shaping and interpretation of the image of rebels in this context. Finally, it reveals that the change of urban time and space is the key factor causing the plight of the characters.
Improving methodology for CO2 fixation in cyanobacteria
Authors: Tang Jiaqian
Published: December 2024

This paper explores recent advancements in the absorption of carbon dioxide by cyanobacteria, commonly known as blue-green algae. The escalating severity of climate change is primarily attributed to the rising carbon dioxide levels in the atmosphere. As organisms capable of photosynthesis, cyanobacteria can thrive in a wide range of habitats and engage in CO2 fixation. In this review, we examine the ability of cyanobacteria to photosynthesize and their ecological adaptability, as well as explore ways to enhance their effectiveness in managing climate change by refining their carbon dioxide fixation processes. The aim is to find innovative approaches to mitigate climate change. We delve into the mechanisms and strategies that can optimize the efficiency of cyanobacteria in carbon sequestration, including discovering novel species, genetic engineering, and manipulating environmental conditions. By enhancing cyanobacteria’s capacity for CO2 fixation, this research seeks to contribute to global efforts in climate change mitigation and offer new directions for climate governance strategies.
Influence of Cross Subsidization in Electricity Pricing in Tangshan on Environment
Authors: Wang Zengxi
Published: December 2024

The paper conducts an in-depth study on the cross-subsidy policy for residential electricity consumption in Tangshan City from 2015 to 2024, focusing on its broader implications. The research evaluates how this policy has affected energy conservation and emission reduction efforts. The findings suggest that while the policy, designed to subsidize low-cost residential electricity, has been successful in encouraging greater electricity consumption among households, it has also led to price distortions. These distortions result in an imbalance in electricity pricing, which could undermine long-term sustainability goals by disincentivizing energy efficiency and conservation measures. The study concludes with a prediction of the policy’s future impact on energy and environmental strategies.
Marketing Mode Innovation in Baking Industry in the Internet Era--Taking Holiland as an Example
Authors: Chen Xizhuo
Published: December 2024

Marketing model innovation is one of the key topics of today’s research, and with the advent of the Internet era, the change of the baking industry has begun. The research topic of this paper is the marketing model innovation of baking industry in the Internet era. This paper is more persuasive through the literature survey method, reading and drawing on relevant literature and opinions, as well as through the case study method, with Holiland Foodstuff Co., Ltd. as the object of analysis in this paper. It is found that the bakery industry should seize the opportunity of development in the Internet era, expand the consumer group, and innovate the marketing mode, which is beneficial for expanding the market share and improving the brand awareness. Suggestions are drawn that the bakery industry can innovate its marketing model by refining and categorizing consumer profiles, using new technologies to improve product homogenization, further expanding online business, and improving the membership system.
An Asylum Culture’s Heart: Two Sides of Otaku
Authors: Cai Yihang
Published: December 2024

Otaku were once the subject of contempt in the 1980s in Japan. However, societal turmoil in the 1990s drove deluded adults into the otaku culture, forming the core of avoidance, indulgence, and fear of reality that lasted until now, and otaku culture became the asylum placed between reality and virtuality. From the beginning, the purpose of the culture is to let otakus return to the reality, whose famous exemplification is Evangelion. Defined backward, anime culture refers to the consumptive side of otaku culture that originated from Evangelion, which offers a stimulation on otakus that drives them into field of creation. The “anime” referred here, therefore, can even include doujin works. Doujin culture, on the other hand, is where those. With the case study of Rayson, a musician, this essay demonstrates how doujin creators are able to walk out of their distress. However, just like any other cure, it may not be effective to every people and may have some side effects that is not yet fully understood, but one should not ignore that doujin is a prominent phenomenon where people are rescuing themselves (or being rescued) using creativity.
Methodology for Enhancing Recognition of Vehicle Quality Using a Recursive Least Squares Approach
Authors: Sun Zhiwei
Published: December 2024

Vehicle weight is a key factor affecting active control strategies and safety in modern days. The manuscript presents a refined approach for estimating automobile mass that integrates a model of the car’s longitudinal dynamics along with an iterative least squares technique that incorporates a diminishing factor. A weight estimation model is developed and tested under steady speed conditions. The study introduces a technique for real-time determination of vehicle weight by leveraging data from the control area network (CAN) bus and employing a recursive least squares approach that incorporates a forgetting factor. Real vehicle tests show that the method has a small error at low and medium speeds, but a large error at high speeds. The method utilizes CAN bus data to minimize the need for additional sensors, which helps reduce costs. It also provides good responsiveness and efficiency. This manuscript delves deeper into the method’s practical viability and its successful application in real-world scenarios.
How do new media technologies play a role in the innovation of horror genre screenplays
Authors: Yong Yuekun
Published: December 2024

Script killing, as an interactive entertainment game, has become very popular in recent years. With the continuous enrichment of its content types, its forms of expression are also constantly innovative. Among them, horror script killing is favored by players. It adds a lot of color to the tense and exciting atmosphere and the game’s design, giving the player a better game experience. This paper explores innovative applications of new media technologies in the horror genre, including Sound and Light Show interaction and augmented reality (AR). By analyzing how these technologies can improve player immersion, interactivity, and the gaming experience, this paper proposes a series of innovative strategies designed to drive the further development of the horror genre.
Analysis and Prediction of Air Quality in Changsha City
Authors: Luo Zheng
Published: December 2024

Air quality is a critical factor affecting public health and the ecological environment, and it is significant for the sustainable development of cities. This study analyzes air quality data in Changsha from 2013 to 2023, revealing trends and seasonal characteristics while exploring the correlations among pollutants. The results indicate a significant overall improvement in air quality in Changsha, with the annual average Air Quality Index (AQI) decreasing from 120 in 2013 to 80 in 2022. Concentrations of PM2.5 and PM10 have markedly declined, while O3 concentrations show an increasing trend. Seasonal analysis shows that winter has the poorest air quality and summer has the best. Correlation analysis reveals a high positive correlation between PM2.5 and AQI. The study suggests strengthening the comprehensive management of PM2.5, establishing a synergistic control mechanism for O3 pollution through VOCs and NOx, implementing seasonal differentiated management strategies, deepening regional joint prevention and control, enhancing traffic source pollution control, improving early warning capabilities, promoting public participation, and strengthening policy support and economic incentives. These measures will contribute to further improving air quality in Changsha and promoting the city’s sustainable development.
The Investigation Related to the Role of Machine Learning in Predicting Stock Price During the COVID-19 Pandemic
Authors: Ding Yiou
Published: December 2024

The COVID-19 pandemic has caused turbulence in the world’s financial markets on an unprecedented scale, testing the validity of conventional models that forecast the stock price. Having unrivaled capabilities for processing big volumes of data and complicated relationships, machine learning algorithms have emerged as one of the powerful tools available for forecasting stock prices in the COVID-19 period. The paper aims to provide a review and discuss various models developed using machine learning, specifically Linear Regression, Support Vector Machine (SVM), Decision Trees, Random Forests, Long Short-Term Memory (LSTM), and Reinforcement Learning, and their individual effectiveness regarding stock price prediction in the face of pandemic uncertainty. The performance of the models has ranged between good performance to successful handling of market fluctuations, yet issues with interpretable results and integration of external factors like news and policies have persisted. Expert systems, explainable tools like SHapley Additive exPlanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME), Automated Machine Learning (AutoML), and transfer learning can be considered for overcoming the challenges mentioned above and improving the models’ performance in a dynamically changing environment.
Sulfur Dioxide in the Atmosphere Dangers and Current Mitigation Strategies
Authors: He Cui
Published: December 2024

Sulfur dioxide (SO₂), which is mainly produced by the combustion of fossil fuels, is one of the main causes of air quality deterioration on a global scale. Although its emissions have been significantly reduced in developed countries through the implementation of advanced desulfurization technologies and stringent environmental regulations, SO₂ emissions are still a major challenge in many developing countries. In this study, the CAS methodology was used to comprehensively analyze the major sources of SO₂, its hazards to human health and the environment, and the current management technologies and policies. It was found that the main sources of SO₂ include fossil fuel combustion, ore smelting, and other industrial processes. The environmental impacts of SO₂ include the generation of acid rain and the formation of fine particulate matter (PM2.5), while the direct impacts on human health include respiratory diseases and cardiovascular problems. Existing treatment technologies such as flue gas desulphurization (FGD) are effective in reducing emissions, but costs and technology applicability vary widely between countries. This paper also explores future directions for SO₂ management, including the need for technological innovation and policy adjustments. The findings are important for the development of more targeted and cost-effective global SO₂ reduction strategies.
Comparative Analysis of Small Deflection Behavior in Cantilever Beams Using Structural Steel and Aluminum Alloy
Authors: Zheng Yi
Published: December 2024

This research investigates the deflection change of cantilever beams made of structural steel (S355) and aluminium alloy (6061) under small deflection conditions. The main objective is to compare their performance in several aspects of load carrying capacity, deflection and safety systems through theoretical calculations and Finite Element Analysis (FEA). The research highlights that S355 exhibits higher stiffness and lower deflection compared to 6061 under the same load. However, 6061 demonstrates a higher safety factor, making it more suitable for applications where lightweight and safety margins are prioritized. The results provide insights into material selection for structural and mechanical applications, particularly where trade-offs between deflection and safety must be considered.
The Effect of Lead (Pb) on Mice’s Parathyroid Gland’s Regulation of Calcium Level
Authors: Zhang Ruotong
Published: December 2024

This study will use biochemical markers that include parathyroid hormone (PTH) levels, calcium-sensing receptor (CaSR) expression, Vitamin D levels, and glutathione (GSH) activity to study the effects of lead (Pb) exposure on mice. We can understand how Pb affects calcium regulation, oxidative stress response, and calcium homeostasis using these biomarkers. The experiment is conducted using ELISA, flow cytometry (FACS), and GSH assays with mice exposed to Pb. Our results suggest that lead exposure can lead to several outcomes: biomarkers are affected significantly, biomarkers are partially affected with some unchanged, and biomarkers are completely unaffected. These results are relevant to real world environmental health crises like the Flint water crisis because Pb contamination led to health problems. The goal of understanding the mechanisms of Pb toxicity is to help inform people to mitigate the negative effects of Pb exposure.
CMB Polarization as a Probe for Inflationary Cosmology
Authors: Yang Xinru
Published: December 2024

This paper discusses some information about the cosmic microwave background radiation (CMB)’s polarization and the study of the early state of the universe. The early state of the universe. The heat emitted after the Big Bang is called the CMB, and the CMB polarization carries important information about the shape and structure of the early universe and is an important means to study the state of the early universe. This paper first introduces the background knowledge of CMB, and then discusses the theoretical framework of inflation theory, including some important concepts and different models of inflation theory, specific CMB polarization modes, and some specific techniques for analyzing CMB polarization data. Next, the paper discusses the observational evidence for the CMB, including important experiments such as WMAP, Planck, and BICEP, and their support for inflation theory. The paper also introduces the data analysis method of CMB polarization.
Crisis Management and Opportunity Grasp of Network Public Opinion: Strategic Response of Enterprise Flexibility
Authors: Zhang Junqi
Published: December 2024

In today’s digital age, the network has become the central platform for information dissemination, making enterprises constantly visible to the public. The power of online public opinion can quickly propel companies into the spotlight, significantly affecting their profits and growth. Consumers increasingly rely on the Internet for information, often consulting online reviews before making purchasing decisions, which ties corporate image and reputation directly to consumer behavior. With the rise of social media, information dissemination has become multi-directional, enabling any minor event to trigger widespread online discussions. Once public opinion hotspots emerge, they are challenging for companies to control and may escalate in positive or negative directions. Cases like the East Buy Copywriting attribution dispute highlight the significant impact of online public opinion on corporate profits. The study explores how companies manage crises and leverage opportunities within online public opinion, analyzing both domestic and international cases such as Missa Ice City, East Buy, and Nike. It concludes that companies should use fact-based guidance, public opinion management, and other strategies to enhance brand influence and seize opportunities amidst crises.
Discussing Women’s Understanding and Attitudes Towards Gender Stereotypes on Social Media: A Case Study of the “Female Driver” Topic
Authors: Xu Xinyi , Zhao Xinyue
Published: December 2024

The depiction of gender is the focus of a growing number of content analyses in the fields of both mass media and social media. This study focuses on the gender stereotypes reflected by the “female driver” label on social media and explores how women view and respond to these stereotypes and their impact on their career development. By using content analysis, this study examined and analyzed posts and comments on Xiaohongshu, a social media platform, to reveal different attitudes of social media users towards the “woman driver” label. The study found that most women hold a negative attitude towards this label, believing that it is a denial of women’s ability. And this labeling phenomenon may cause women to encounter obstacles in career choice and development. Despite data showing that female drivers are less responsible for traffic accidents, negative stereotypes about “female drivers” remain prevalent in society. This study also applies social identity theory and Doing Gender theory to explore the psychological motivation and social impact behind these stereotypes, emphasizing the importance of eliminating stereotypes to promote gender equality.
Application of Virtual Reality Technology in Film Production
Authors: Zhang Ziqian
Published: December 2024

Virtual Reality (VR) technology has evolved greatly over the years and the advancements have helped filmmakers improve creativity and production. This study aims to discuss the use of VR in the pre-production, production, and post-production processes of the filmmaking industry. It encompasses how scene and character designing is improved through VR, how pre-vis is optimized, and how one can move around a virtual environment to create a better story. Using real-life examples this study illustrates how VR minimizes costs, enhances the quality of the final film, and shortens the time taken to complete a production. Furthermore, the study also points out that VR is likely to increase the ability to alter the audience’s experiences and provide a better and more engaging cinema. The results of this study emphasize the importance of VR as a progressive medium where future advancements promise to aspect unique cinematic experiences in the form of directional narrative and programming aimed at the audiences.
Multiple Regression Analysis of the Factors Influencing the Sales of New Energy Vehicles in China
Authors: Liu Chenlong
Published: December 2024

In recent years, the global climate crisis and energy crisis have become increasingly serious, prompting countries to strongly support the development of clean energy technology. New energy vehicles represent a significant avenue for transforming and upgrading the automobile industry worldwide, offering environmental protection and energy-saving advantages. This thesis addresses the vital factors influencing the volume of new energy vehicle sales in China. Within an empirical research framework, multiple regression analysis is used. This study begins with the background of the new energy vehicle market, recognizing factors such as policy incentives, technological progress, and charging infrastructure improvements, and then proposes research hypotheses. By collecting relevant data, the study uses multiple linear regression models to evaluate the influence of various factors on both the demand and supply sides of sales. The results show that the amount of subsidy in vehicle purchases and charging time significantly affects sales, while factors like price and technological progress do not hold as much weight. Based on these findings, the thesis suggests policy recommendations such as increasing and improving vehicle purchase subsidies and enhancing charging facilities for the healthy development of the new energy vehicle industry. Finally, the limitations of this study, such as the limited data scope, the problem of multicollinearity, and the failure to consider the effects of external macroeconomic factors, are summarized. The paper concludes with a discussion of potential avenues for future research.
Mounty Hall Problem as an Example of Bayes Formula
Authors: Yang Xinyu
Published: December 2024

Bayes formula is a tool used to calculate the condition probability of the event under different situations. This article is used to investigate the principle and the application of the Bayes formula, which belongs to the statistics and mathematics. The Mounty Hall problem is a classic example of application of the Bayes formula. The problem is whether the probability to choose the supercar would increase if the guest shifts his choice. To conquer this problem, this article aims to calculate the conditional probability by Bayes formula. In doing so, one can evaluate the probability of after shifting the door easily. In addition, the article also aims to prove the result via the Bayes formula. The author uses two methods to prove the result. One is the simulation. The author uses the statistical software——excel to do simulation, collect the data, and calculate the final result. Next, the author compares the result with the calculation result. Then, the author use t-test to prove the two results are the same. The second method is programing. The result and conclusion of the article is that the Baye’s formula do have the function to calculate the complex probability. The Bayes formula is practical. The significance of the article is to provide different ways to prove the result of the simulation.
Effect of electricity use in residential building on the climate change: analysis, mitigation and recommendation
Authors: Wu Pinrui
Published: December 2024

The consumption of electricity has witnessed a remarkable surge in the past decade, driven by the growing demand for power across various sectors, including residential, commercial, and industrial. This escalating reliance on electricity has consequently led to an increased strain on the power generation sector, necessitating a significant expansion and modernization of existing infrastructure. Currently, a substantial portion of the world’s electricity is generated by fossil fuel-intensive power plants, which rely heavily on coal, oil, and natural gas. These conventional power generation methods not only deplete the earth’s finite resources but also contribute significantly to air pollution and greenhouse gas emissions, exacerbating the challenges of climate change. There is a growing global consensus on the urgent need for clean and sustainable energy solutions. One such solution is the process of decarbonization, which involves the systematic reduction of carbon emissions across the economy, particularly within the energy sector. The integration of smart grid technologies and energy storage solutions, such as batteries, is crucial for managing the intermittent nature of renewable energy sources and ensuring a stable and reliable electricity supply. In this paper, the status of electricity use in residential building is analyzed and some recommendation for mitigation to climate change is provided.
Research on the Development Trends and Strategies of China’s Tourism Industry under the Background of RMB Exchange Rate Fluctuations
Authors: Guo Zixuan , Li Jiashi
Published: December 2024

Nowadays, with the globalization continuously deepening, currency exchange rate fluctuations have a far-reaching impact not only on the country’s financial stability but also on its national economy and specific sectors like tourism. This paper delves into the analysis of exchange rate volatility’s impact on inbound and outbound tourism, drawing from past data and literature review. It proposes relevant strategies for businesses, government policies, and industry stakeholders. Findings reveal that exchange rate fluctuations would affect the tourist’s affordability, and have an influence on tourism enterprises’ operations and financing. Both governments and businesses must consider the multifaceted effects of exchange rate fluctuations and implement targeted responses. Future research can also be based on the content of this article to further explore the impact of exchange rate fluctuations on tourism travel among different age groups, and it should refine empirical analyses of various exchange rate indicators, such as nominal and real effective exchange rates, to provide more scientific theoretical support for China’s tourism development.
The Residue Theorem and Its Generalization
Authors: Liu Shao Jie Jason
Published: December 2024

In multivariate analysis, the residue theorem is an effective tool to calculate the results of analytic functions along closed curves. It can also be used to compute the integrals of real functions. The residue theorem reveals the relationship between integrals and singular residue on closed paths. If the Laurent expansion for a given point is computed, the corresponding residue for calculating the circumference integral can directly be obtained. It’s a generalization of Cauchy’s integral theorem and Cauchy’s integral formula. In this paper, the definition of the Residue will be mentioned. Then the proof of Residue Theorem will be shown. Three examples of how to use the Residue Theorem to the closed curve integral takes the derivative. Finally, the generalization of residue theorem is mentioned. In mathematical analysis and practical life problems, some primitive functions that cannot be represented by elementary functions as integrands can be calculated using the residue theorem. Converting integrals into residues for calculation can make integral problems simpler.
Curriculum Reform for the Integration of Digital Literacy Education and Middle School English
Authors: Wei Chenxi
Published: December 2024

As digital technology keeps developing, digital literacy education has become a hot topic. As research on digital literacy has progressed, researchers have identified a research gap in developing digital literacy in junior school students. This study analyzes how to integrate junior high school English course with digital literacy education from three levels of the activity-based view of English learning. This study used semi-structured interview to find out the application of digital literacy in junior high school English. Furthermore, English teachers’ perceptions of the course design proposed in this study were collected. The study found that digital literacy has not yet been taken seriously by junior high school English teachers. There are still difficulties in the integration of digital literacy into the English course. On the other hand, participants in the survey have expressed their approval of the course design proposed in this study. Corresponding conclusions are drawn based on the research findings.
Theory of Brownian Motion and its Applications in Selected Examples
Authors: Dai Yesheng
Published: December 2024

Random walk is the basic concept in mathematics. Brownian motion is one of the most popular application. The core of the Brownian motion is the continuous path for small particles. After being developed by Wiener, it is used in many other studies, including biology, chemistry, and economics. Brownian motion is contemporarily used for predicting possible path. For animals scientists can know the probable range of activities for animals in order to keep people from bothering them and keep them out of danger. For chemical reactions, it is easy to predict every tiny particle about their movement so that people can directly understand the core of the reaction and one can predict the speed and the phenomenon of the reaction. For economics, economists can use the Brownian motion to calculate the probability for stock to up or down. This paper aims to present the theory of Brownian motion and illustrate the applications. This allows people to better choose the time to buy and sell in order to get the highest profit, and makes the economic market more controllable.
Comparative Research of Mainstream High-Performance Dividers
Authors: Hua Yingjie , Luo Xianshu , Yang Haokun
Published: December 2024

The implementation of modern electronic systems relies on mathematical operations to solve problems. Of the three most basic arithmetic operation algorithms, the implementation of division has received less attention and has a higher level of difficulty. Delays in the division algorithm will lead to a reduction in overall arithmetic efficiency. Therefore, it is imperative to study and summarise high-performance dividers. In this paper, based on the existing research, five high-performance divider algorithms, namely the Pencil-and-Paper Method, Restoring Division, Non-Restoring Division, Newton-Raphson Method and Pipelined Method, have been summarised. Researchers have comparatively analysed the principles of each division algorithm, discussed the range of application of each algorithm and given an analysis of their respective advantages and disadvantages. As result, the simulation of the Restoring Division, Non-Restoring Division and Pipelined Method have been implemented. Based on the simulation results, the researchers concluded that different division algorithms need to be used in different application scenarios and discussed their specific application scenarios and comparisons between the algorithms.
Analysis of the Principles and Applications of Foldable Structures in Aerospace, Medical and Construction Fields
Authors: Lin Xingchen
Published: December 2024

In contrast to conventional structures, deployable structures do not have a fixed geometry and can be transformed between fully expanded and contracted. When folded, they are smaller than traditional fixed structures and can be easily stored and transported. Due to its changeable dimension, the deployable structure has been widely studied in many fields. This research lists the representative applications of deployable structures in three major fields, including aerospace, medical and construction, and analyses the characteristics of each. It is argued that deployable structures are used in several fields currently, however, the various types are not closely related so far, and some of them have not been studied in depth. It leads to the fact that most of the current designs for deployable structures are limited to focusing on specific types. Based on the usage requirements of different industries, the deployable structures often need to be redesigned, thus limiting the promotion of deployable structures in the future. It is believed that categorizing deployable structures according to the scope of application of each type and designing several generalized structural templates for conventional structural shapes will greatly facilitate the utility of deployable structures in various fields.
Design and Practical Significance of Human Body Sensing Small Lamp
Authors: Shen Jiayu
Published: December 2024

Human body sensing light is a good lighting device that can automatically turn on or off lights according to human activities, so it can achieve energy conservation and improve the convenience of living or working spaces. The research topics usually focus on improving sensing sensitivity, reducing false triggering rates, optimizing energy management, and enhancing user interaction experience. Research methods include hardware design, system integration, experimental testing, and performance evaluation. Researchers will choose suitable microcontrollers as core processing units, design circuits to integrate sensors (such as pyroelectric sensors, infrared sensors, etc.), and select suitable LED lighting fixtures as lighting components. The human body sensing light can be triggered at a distance of about 50cm from the person. This distance can be increased by adjusting the sensor, but the range will be reduced. The conclusion is that induction lamps have certain practical value, but their false triggering and insensitivity still exist, and further optimization is needed.
Improve mobile intelligent sightseeing vehicles through A and mobile technology
Authors: Zhang Jinning
Published: December 2024

As a newly emerging tourist transportation tool in recent years, intelligent sightseeing vehicles adopt advanced automatic driving technology and energy-saving electric drive technology. However, there is still much room for improvement, so the research theme of this paper is the combination of mobile intelligent sightseeing vehicles and AR technology. Based on the traditional intelligent sightseeing vehicles, this research applies new technologies: planning and driving on different terrain by using the method of self-performance margin estimation of vehicles; Through computer algorithms and GPS positioning to capture object attractions and in the form of AR on the OLED screen, various cultural and historical information of the attractions are provided to customers through tracking bubbles, giving them a new sightseeing experience. In the future, with the development of The Times and the continuous progress of science and technology, this mobile AR sightseeing vehicle will provide tourists with a deeper immersive sightseeing experience and will also bring new development to the tourism industry.
Exploring Key Factors Influencing Mortality in Breast Cancer
Authors: Zeng Yang
Published: December 2024

The purpose of this study is to develop a statistical model capable of predicting mortality in breast cancer patients based on a comprehensive set of demographic and clinical attributes. Data were analyzed using logistic regression to assess variables such as age, menopausal status and type of treatment. This approach helps to observe the interactions between these variables and their impact on survival outcomes. While logistic regression is effective for understanding linear relationships between variables, it has notable limitations when dealing with the complex, nonlinear nature of breast cancer progression. As a result, this model might not completely capture all aspects of patient prognosis. More advanced statistical techniques are needed to improve the accuracy of predictions in future studies. This strategy could potentially enhance the efficiency of clinical decision making, by allowing for better and more accurate predictions regarding which patients will die and guiding personalized treatment strategies. This strategy would provide an important advancement in both risk stratification and individualized intervention for patients with breast cancer.
The New Sneaker Era: Changes and Improvements in Sneaker Marketing through Digital Platforms
Authors: Zeng Jian
Published: December 2024

This article explores the evolution of sneaker marketing strategies, highlighting the shift from traditional sneaker marketing methods to digital platforms. Historically, sneaker brands have relied on celebrity endorsements and mass media advertising to build brand relationships with customers and drive sales. However, the rise of the internet and social media has changed these approaches. Today, brands use targeted social media strategies and partnerships with influential influencers to connect with global customers in a more personalized and interactive way. This shift has also spawned a thriving online secondary sneaker market, reshaping brands’ product development and positioning. In addition, this article explores the impact of soft and hard advertising in the digital age, emphasizing the need for brands to strike a balance between innovative digital interactions and authentic community interactions. Ultimately, this analysis shows how sneaker brands must continue to innovate and change their marketing strategies in order to thrive in a rapidly evolving digital environment.
Recent Status of Probiotics in the Prevention and Treatment of Hyperuricemia (HUA)
Authors: Chen Tongyu , Qiu Sibo
Published: December 2024

A metabolic condition called hyperuricemia (HUA) is intimately linked to the beginning and development of numerous chronic illnesses. Increased blood levels of uric acid (UA), or hyperuricemia, are indicative of a higher risk of developing gout and other metabolic problems. Probiotics have been shown to have positive impacts on human health regulation in recent years. These effects include a significant contribution to the control of conditions including type 2 diabetes, obesity, hypertension, and human immunity. Furthermore, pertinent research conducted in the last several years has discovered that probiotics can somewhat alleviate HUA. The use of probiotics for the prevention and treatment of hyperuricemia is discussed in this paper along with the current status of research in this area. Probiotics work by modulating urate metabolism, attenuating inflammatory responses, and improving related metabolic parameters. Additionally, clinical trials assessing the efficacy of specific probiotic strains or blends in reducing serum UA concentrations are included in the analysis, indicating that probiotics could be a future focus for the prevention of hyperuricemia. However, the optimal dose and duration of probiotic supplementation remains to be determined and clinical trials on human subjects should be further expanded. To ascertain the long-term safety and effectiveness of probiotics as an adjuvant treatment for HUA and associated comorbidities, more research is required.
Analyzing the Emotional Purpose and Linguistic Characteristics of Modern Pastoral Poetry the Twentieth Century - Taking Frost and Heaney as an Example
Authors: Li Xiaomiao
Published: December 2024

Pastoral poetry, since its inception, has shown a distinct creative characteristic that sets it apart from other forms of poetry, uniquely merging the natural landscape with the poet’s emotions through unpolished language and philosophical mood. The poets’ observations of the various dimensions and depths of pastoral themes construct an imaginative depiction of the individual, the village, and even society. In the twentieth century, modern pastoral poetry’s emotional purpose and linguistic features have presented new characteristics. Frost and Heaney stand as the representative poets of this era. By examining their specific poems, the analysis focuses on the expression of emotion and linguistic style to identify the similarities and differences in the creative content and methods of the two poets. The comparative analysis reveals that the main emotional object of their works is the distinction between the individual and the hometown, which also shapes the poets’ different attitudes on similar objects, while in the two poems, they seem to be in the same pursuit of ‘the pursuit of the village’ and ‘the pursuit of the society’. In their shared quest for the ‘sound of meaning,’ Heaney absorbed and innovated upon Frost’s concept of creative language, leading to the emergence of a new linguistic identity for Northern Ireland’s pastoral poetry.
Alternative Methods of Animal Testing for Development of Cosmetics
Authors: Soong Ava Jiahui
Published: December 2024

The cosmetic industry relies on animal testing to ensure the safe use of a cosmetic product. The unethical practices and unsanitary conditions of the testing process have led humanity to resort to alternative methods to be considered the new norm. The treatment of animals involved in the testing procedure is seriously mistreated. These traditional and outdated practices involve exposing the animals to harmful chemicals and environments, which leads to the suffering and death of these animals. If the animals survive the suffering, their lives will end regardless. Since the testing process was known to the public, society has tried its best to discontinue the corrupt method by experimenting with other procedures that do not involve animals. Many countries have enforced laws for animal rights, providing them protection to not be subject to these conditions. The alternatives include in vitro testing, computer modelling and simulation using artificial intelligence, and testing with human volunteers. These innovative methods are more accurate, reliable, and cost-efficient and should be replacing animal testing permanently worldwide.
Performance Investigation of Feature Selection Based on Random Forest in Heart Disease Prediction Using KNN Model
Authors: Kong Shun
Published: December 2024

Heart disease is one of the leading causes of death worldwide, claiming millions of lives each year. To address this serious public health challenge, early prediction of heart disease using machine learning techniques has become a hot topic of research. This study explores the impact of different numbers of features on the performance of the K-Nearest Neighbors (KNN) model in predicting heart disease. Initially, a random forest algorithm was employed to rank the importance of a large set of features and identify the key factors most influential in predicting heart disease. Subsequently, starting with the most important features, the study incrementally increased the number of features applied to the KNN model, comparing the model’s accuracy and recall across different feature combinations. The results show that as the number of features increases, the model’s predictive performance does not consistently improve. When the number of features is initially increased, accuracy experiences a sharp decline; although it slightly recovers later, the overall performance does not return to the high level observed with fewer features. Meanwhile, recall significantly improves when the number of features first increases but then starts to fluctuate and noticeably decreases when a certain number of features is reached. This study demonstrates that simply increasing the number of features does not guarantee improved model performance; instead, it may introduce redundant information or noise, weakening the model’s effectiveness.
Potential Impact of Probiotics on Human Health and Prospects in Clinical Application
Authors: Zhu Jinhao
Published: December 2024

This article discusses the detailed effects of probiotics and the potential uses in curing diseases. Research shows that certain living organisms can bring about the following benefits for man; they help maintain the ratio of the good bacteria in the intestines, improve the immune system, reduce allergic reactions, aid intestinal movement and digestion. On the other hand, probiotics may also help to modulate emotions, cognition, and stress by influencing the communication between the gut-brain axis and neurotransmitter. Furthermore, the identified probiotic metabolites, the short-chain fatty acids, are involved in metabolic processes within the intestine and other organs. Probiotics also have some anti-cancer, anti-disease and anti-inflammatory effects, and can suppress pathogens and inflammation by affecting immune cells. This article also discusses the link between probiotics in the intestinal and nervous system diseases and chronic diseases and their roles in future medical science and clinical practice. Most of the current research work is done on probiotics is done in vitro and animal studies and future clinical study has to be undertaken to ascertain their mechanisms and effectiveness in human beings.
Examining the Role of Social Currency in Word-of-mouth Marketing
Authors: Zhang Siya
Published: December 2024

This research review explores why social currency can be a driving force in word-of-mouth marketing, as proposed by Jonah Berger in his book Contagious: Why Things Catch On. He argues that despite the importance of traditional marketing factors like price and quality word-of-mouth is essential for driving the popularity of things [1]. Six principles, social currency, triggers, emotion, public visibility, practical value and stories are reasons why people share certain content [1]. Social currency is significant to achieve word-of-mouth marketing as it allows individuals to find their social identity and promote their social status by sharing content that reflects positively on them. Social Identity Theory explains how group affiliations serve as human nature to drive their behaviors and encourage consumers to favor brand that align with their identity. Companies can build brand loyalty, trust and advocacy through leveraging social currency. This research will highlight how SIT, a key component of social currency, demonstrates influence on consumer behavior and shape brand’s success to achieve effective word-of-mouth marketing.
Research on Offline Marketing Strategies in the Outdoor Apparel Market: A Case Study of the Chinese Mainland Market
Authors: Ma Xinhao
Published: December 2024

Since the rise of outdoor wind in 2021, along with improving living standards and enhancing health awareness among residents in mainland China, outdoor sports have gradually become part of people’s daily lives, promoting the rapid growth of the outdoor apparel market. However, with the rise of e-commerce, offline marketing faces unprecedented challenges and opportunities. This study takes the outdoor apparel market in mainland China as an example, focusing on the offline marketing strategies of brands in this market, including how brands attract consumers through physical stores, experiential activities, community building, and other methods. the research used methods such as literature review, market research, and case analysis to analyze the market performance of local and international brands and the strengths and weaknesses of their marketing strategies. The research results show that there is significant brand homogeneity and that consumers are increasingly demanding products that are functional, environmentally friendly and that they can identify with. Meanwhile, digital marketing is becoming increasingly important in the market, and brands have successfully expanded their brand influence through social media, KOL marketing, live streaming, and other methods. The research concluded that brands need to continuously upgrade in technological innovation, consumer experience, environmental sustainability, etc., and enhance their competitiveness through online and offline omnichannel marketing strategies to cope with the increasingly fierce market competition.