bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Strategy to Address Anxiety and Depression among Young People
Authors: Xu Taiyu
Published: October 2024

Anxiety is defined as anxiety, nervousness, or restlessness caused by the anticipation of internal and external dangers. Adolescent depression and anxiety are a global problem, with WHO data showing that 14% of young people aged 10-19 face mental health problems worldwide. Depression and anxiety in adolescents are complex diseases that arise from the interaction of multiple factors, including biological, psychological, socio-cultural, and social factors. Adolescent depression and anxiety can be solved through proper measures. We propose a multi-pronged approach to address this mental health crisis, along with actionable solutions from principally the physical and psychological aspects. We aim to mitigate the negative consequences and foster an environment where young people can thrive emotionally, academically, and socially.
Development and Evaluation of a Robust UART Communication System with Enhanced Interference Resistance
Authors: Li Rui
Published: October 2024

Interference is a significant issue in UART communication, often causing data jitter and distortion, particularly in industrial environments. This study addresses these challenges by developing an anti-interference UART system that includes the design and implementation of receiving, processing, and sending modules. The system utilizes techniques such as multi-level sampling, synchronization, and cumulative decision-making to enhance data transmission accuracy and reliability. In embedded systems, electromagnetic interference (EMI) poses a major problem, leading to potential data loss and communication failures. Reliable communication is crucial for maintaining the performance and safety of industrial operations. The anti-interference UART system developed in this study aims to improve operational stability by mitigating the effects of EMI. The system’s performance was validated through extensive simulations, demonstrating its ability to maintain stable and accurate data transmission even under various interference conditions. The results show significant improvements in data integrity and communication reliability. This paper presents a comprehensive approach to designing, implementing, and validating a robust UART system that can effectively operate in challenging environments, ensuring reliable data communication and enhancing overall system performance.
Liberalism and Confucianism: Differences and similarities between the two educational models
Authors: Chen Yixuan
Published: October 2024

In order to study the situation of education under different educational models, this article focuses on analysing the similarities and differences between the two different ideas in pedagogy (Confucianism and Liberalism), as well as the controversies encountered by the countries where they are practiced. In view of today’s research focusing on a single education model, and few studies systematically comparing the two education models, this article aims to analyze the development, characteristics, advantages and controversies of liberalism and Confucianism in education in the form of literature review. Moreover, it elaborates the differences between the two educational philosophies from the perspective of higher education for their pros and cons, and compare their similarities and differences from the perspective of educational goals. This article focuses on analyzing the literature review of the influence of different ideas in education in the past 10 years, as well as the views of the different parties involved. Ultimately, it was found that liberalism emphasises individual freedom, independent thinking and self-realisation, and that the aim of education is to cultivate independent individuals who are able to freely choose and pursue their own goals in life, with an emphasis on individual progress and personal achievement, a diversity of evaluation criteria, and a focus on creativity and independence (Thompson, 2017& Mautner, 2018); whereas Confucianism emphasises the cultivation of morality, social responsibility and harmony, and that the aim of education is to cultivate ethical and responsible social members and to promote harmony in the family, society and the State emphasises moral cultivation and social contribution, with evaluation criteria focusing on moral performance and contribution to society (Yao, 1999 & Tan, 2017).
The Investigation of Artificial Intelligence in Cultural Relics Protection
Authors: Shen Junjie
Published: October 2024

It is well-known that the importance of cultural heritage in history, culture, art and other aspects is self-evident. However, due to various force majeure damage, the situation of cultural heritage protection is becoming more and more severe. This article will review and look forward to the application of Artificial Intelligence (AI) in cultural relics protection. The method section of this paper demonstrates various AI technologies such as Generative Adversarial Networks (GAN), deep learning, and reinforcement learning, and applies them to cultural relic digitization, damage detection, virtual restoration, and cultural heritage management and display. The next section outlines the specific tasks for which these AI techniques are applicable, demonstrating the potential of these innovations to improve accuracy and efficiency in work. In the subsequent discussion section, the current limitations and challenges of AI in this field are analyzed, such as data dependency and “black box” characteristics. At the same time, the future direction of AI is discussed, such as interpretable AI (XAI) and adaptive learning. Finally, this paper concludes that although AI has challenges, it will play an increasingly important role in the field of cultural heritage protection in the future.
Healthcare with Wearable Devices and Machine Learning
Authors: Yan Jessica YiJia
Published: October 2024

As health management continues to grow in importance globally, driven by the quest for improved health outcomes, longevity, and personalized care, machine learning (ML) has become a popular technique for detecting and analyzing health indicators, playing an essential role in multiple areas of health detection, such as continuous heart and blood pressure monitoring, blood sugar tracking for diabetics, sleep analysis to improve sleep quality, and even disease prediction. With wearable devices, a particular scale of health detection data has been accumulated at this stage. With this data, machine learning can be predictive analytics to assess real-time health conditions, enabling early intervention and personalized treatment plans. However, data quality remains the most critical issue for machine learning-based health detection systems, as inaccuracies in sensor readings can lead to misdiagnoses or incorrect treatment decisions. In addition, privacy concerns are significant, as the sensitive health information collected by these devices requires strong security measures to protect users’ data. Moreover, the interpretability of machine learning algorithms, especially those involving deep learning, can be limited, hindering clinicians’ understanding and trust. This paper addresses these challenges by providing a comprehensive overview of relevant data sets used in health monitoring and examining the latest machine learning algorithms tailored for wearables-based health detection. It further delves into the current limitations and challenges facing this emerging field, providing insights into potential solutions and future directions for research and development.
Unveiling the Formation and Evolution of Massive Planets
Authors: Wen Zichong
Published: October 2024

Research into the formation of massive planets is crucial for understanding the evolution of planetary systems and assessing the potential for habitable environments on exoplanets. Despite the growing body of research, there remains a gap in comprehending the complexities of how these massive bodies form, migrate, and interact with their host stars. This study aims to fill that gap by investigating the processes underlying the formation and evolution of massive planets. Focusing on the role of gravitational forces, internal structures, and atmospheric compositions, the research delves into the core accretion model and the disk instability model, both of which offer insights into planetary formation mechanisms. The study also examines the migration patterns of massive planets and their effects on surrounding celestial bodies, particularly within the context of protoplanetary disks and stellar radiation. The interactions between massive planets and their host stars are also analyzed, highlighting the impact of tidal forces and magnetic field interactions. The research findings confirm that massive planets play a critical role in shaping the dynamics of planetary systems, acting as “guardians” that influence the stability and evolution of other planets. The study concludes that understanding these massive planets’ formation and behavior is essential for developing more accurate models of planetary systems and advancing the search for extraterrestrial life.
Research on unmanned vehicle trajectory planning problem based on genetic algorithm
Authors: Xie Haokun
Published: October 2024

In this study, a method based on Genetic Algorithm and optimal control for path planning of an unmanned vehicle is proposed. This work discretizes the optimal control problem into a nonlinear programming problem and resolves it to enhance the initial answer. All physical quantities are incorporated as variables into the problem-solving process and limited by an objective function to derive the optimum trajectory.
Analysis of the Application of Game Theory from Multiple Aspects: Economics, Business, and Education
Authors: Xu Ruidi
Published: October 2024

In the late 20th century and early 21st century, there has been extensive literature published regarding proposals of the utilization of game theory from different academic aspects, which are tedious and unnecessary work for scholars who only wish to simply learn about some of the applications of game theory. This paper summarizes and organizes a few examples of the applications of game theory using prominent existing literature from three aspects: business, economics, and education, hoping to spark scholars’ interests and provide a broad understanding for readers as to when and how game theory may be used. When applying game theory to a real-world issue in business, economics, or education, the development and design of a “game” with certain selected constraints and variables is used to replicate the real-world model using mathematical languages. Depending on the real-world conflict these models are portraying, they might be novel concepts or variations of already-existing models. The summarization of some applications of game theory may spark interest for scholars interested in the various fields explored such as business management, economics, and optimization and quickly understand current progress in the area of game theory.
Preparation Methods and Quantum Hall Effect of Graphene
Authors: Zhang Xizhe
Published: October 2024

Graphene is a two-dimensional ultra-thin functional material. It has the characteristics of light weight, and it exhibits stable chemical properties. In recent years, it has become an excellent candidate material for the modification of various functional devices due to its excellent electrical performance. The performance of graphene is significantly influenced by the preparation method. Therefore, it is necessary to summarize the preparation methods of graphene. In addition, these functional devices typically operate in complex external environments, including magnetic fields, temperature fields, and electric fields. Therefore, studying the quantum Hall effect of graphene is of great significance for the use of graphene based devices. This article is written in order to provide a quicker understanding of this field. The preparation methods of graphene are briefly described. Among these methods, several industrialized methods of graphene production are also highlighted. Then, the progresses of quantum Hall effect in graphene are also presented. This work is of great significance for promoting the application of graphene based devices in complex external field environments.
Design and Implementation of a Community Waimai Delivery Assistant System Based on Path Optimization Algorithm
Authors: Zhang Shujia
Published: October 2024

With the rapid development of the food delivery industry, how to efficiently complete delivery tasks in complex community environments has become an important challenge for food delivery platforms and delivery personnel. This project focuses on the problem of planning delivery routes for b0oth inside and outside residential areas, and designs and implements a delivery assistant system based on the Internet of Things and path optimization algorithms. The system utilizes the DFRobot IoT platform to achieve real-time communication between Python programs and mobile apps. Through various path optimization algorithms such as genetic algorithm and simulated annealing algorithm, the system automatically generates the optimal delivery path, significantly improving delivery efficiency and reducing delivery costs. The experimental results show that the system has good operability and reliability in practical applications, providing an effective solution for improving the intelligence level of food delivery
Does AI Help? A Review of How AIGC Affects Design Education
Authors: Dai Zhujun
Published: October 2024

With the rising advancement of Artificial Intelligence Generated Content (AIGC) tools such as Midjourney, ChatGPT, Meta and Luma, the design industry is undergoing a new shift. Thus, the great influence of the AIGC application has taken place in the design education area, followed by the question, “How does AIGC integration impact design education”? This study aims to uncover the latest progress and identify the research gap in the design pedagogy area, despite the lack of research on how AIGC integration affects design education in contrast to the explosive growth of ChatGPT research. This study explored impactful and most up-to-date articles for systematic analysis. It reveals that AIGC can enhance students’ design efficiency by empowering ideation, prototyping and personalization. However, further study is called for developing strategies for seamlessly integrating AIGC into design curricula and pedagogical practice and the educational ethics and parity issues during the AIGC integration in design education.
“Does Digital Education Bridge the Urban-Rural Divide in STEM Education in China? Analyzing Accessibility, Engagement, and Outcomes”
Authors: Shi Jiayi
Published: October 2024

This paper examines the role of digital education in bridging the urban-rural divide in STEM education across China, focusing on accessibility, engagement, and educational outcomes. Despite significant advances in digital infrastructure and educational platforms, rural areas continue to face challenges in access to high-quality STEM education, primarily due to disparities in teacher training, resource availability, and community support. The study highlights the importance of targeted interventions, including improved teacher training, increased parental and community engagement, and tailored educational programs to address these challenges. By analyzing both short-term outcomes and long-term aspirations, this paper provides a comprehensive overview of how digital education can contribute to reducing educational inequities between urban and rural regions in China.
Analysis the Functions for James Webb Telescope on THESAN Project
Authors: Cao Rongjia , Wang Jiawen , Xie Qiaorui
Published: October 2024

The THESAN simulation project is a method used to understand the universe. However, the usage of such simulations often requires a lot of computation, complex technology, and high-end equipment, among which James Webb Telescope (JWST) is one of the most important devices in the simulation. The purpose of this study is to analyze and introduce the function and impact of JWST in the THESAN simulation project. First of all, this article briefly introduces the THESAN simulation project and JWST. Then, the study presents the JWST observation mission of galaxy clusters, clusters of galaxies, nebulae and exoplanets in the specific data, as well as the strategy of ERO program in detail. Finally, the paper describes the impact and improvement of the observations made after the JWST launch on the THESAN simulation project and various related data. According to the analysis, these results help stakeholders understand the function of JWST in the THESAN simulation project more quickly.
Mediterranean Diet: its Nutritional Composition and Health Benefits in Chronic Disease Prevention
Authors: Li Daoxiang
Published: October 2024

The Mediterranean diet (MD), as a scientifically proven healthy eating pattern, originated in the Mediterranean region and is gradually respected globally. In recent years, a large number of studies have confirmed its remarkable effect in the prevention and management of chronic diseases. However, there is still a certain research gap in the specific nutritional composition of the MD and its comprehensive understanding of health. Additionally, the widespread adoption of the MD faces challenges, including cultural differences and the adaptation of dietary habits. This article reviews the analysis of the major food groups and nutrients in the MD, exploring its health benefits in cardiovascular disease (CVD) prevention, management of type 2 diabetes and obesity, as well as cancer prevention. Through comprehensive existing research, this article reveals the scientific evidence of the MD to benefit health. The results of the research provide a scientific basis for promoting the MD, and provide direction for further studying the mechanism of the MD prevention disease in the future.
Systematic Analysis on The Development and Potential Use of Novel Semiconductors
Authors: Zhao Zichun
Published: October 2024

Silicon-based transistors and integrated circuits, crucial for modern technology, are facing limitations due to scaling constraints. As transistors shrink, their performance is capped, affecting advanced technologies like AI, IoT, and 5G. Gallium nitride (GaN), with a melting point 200°C higher than silicon, presents a promising alternative due to its superior high-power and high-frequency performance. This essay reviews silicon’s semiconductor limitations and highlights the advancements in silicon carbide and Gan. The basic theories, such as electron mobility, energy level and covalent bond, are analyzed, and it is found that GaN is better than Sic and Si, but the three examples of semiconductors have different development fields in different fields. It compares the benefits of traditional silicon with these novel semiconductors, focusing on high-frequency and high-temperature performance. The essay also discusses current development, issues, and future predictions in semiconductor technology. Exploring new materials like GaN and silicon carbide addresses the technical challenges of silicon and enhances device performance, broadening technological possibilities.
Application of Optogenetics in the Regulation of Neural Circuits in Parkinson’s Disease
Authors: Chen Jiajie
Published: October 2024

This paper reviews the application of optogenetics in the study of Parkinson’s disease and discuss how optogenetics stimulates specific neural circuits to regulate the symptoms and behaviors of Parkinson’s disease. Optogenetics technology has a higher spatial resolution than traditional electrical stimulation, and optogenetics can accurately control specific neuron populations, providing a new perspective for studying PD and exploring potential treatments. The researchers found that selective optogenetic stimulation of the dorsal striatum was sufficient to induce levodopalike dyskinesia in 6-hydroxydopamine (6-OHDA)-induced PD rat models. In addition, the researchers found that transplanted dopamine neurons can correct some of the motor deficits through their neural activity, including dopamine release and synaptic transmission. Although the utility of optogenetic techniques in human patients is unclear, the precise control of neural circuits in animal models provides an important way to understand the mechanisms and side effects of DBS therapy. The study also suggests that optogenetic stimulation of glutamatergic neurons in the mesocerebellar nucleus may improve motor function in PD mouse models, providing a new potential target for PD treatment. Finally, the article discusses how optogenetic technology can be transformed from a research tool into a treatment for PD, and how to repair damaged neural circuits through optogenetic technology to provide a more durable and effective treatment.
Gamma Wave Stimulation Affects BACE1 Levels and Promotes the Transition of Microglia from M1 State to M2 State
Authors: Li Haozhen
Published: October 2024

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder and it presents with the hallmark neuropathological features of amyloid-beta (Aβ) plaques, tau tangles and active neuroinflammation. Beta-site amyloid precursor protein cleaving enzyme 1 (BACE-1), a key mediator of increased Aβ, has been identified as the primary enzymatic source for production of this pathologic peptide while reactive microglial cells contribute to ongoing neurodegeneration perhaps through activation into their aggressive M1 state. The present study endeavors for the first time to address how gamma wave stimulation modulates BACE1 and microglial polarization (from M1 to beneficial M2) in different AD models. We hypothesize that gamma wave stimulation will reduce BACE1, decrease Aβ plaque burden and shift microglials towards M2 phenotype leading to reduced neuroinflammation and maintain cognitive function. This study will target mouse models of AD which have undergone gamma wave stimulation and its effects on BACE1 expression, microglial polarisation markers, Aβ plaque load and cognitive performance. Hypotheses the treatment will reduce BACE1 activity, decrease M1/M2 microglial ratio, improve cognitive performance and delay Aβ plaque accumulation These data suggest promising therapeutic strategies for neuroinflammation and amyloidogenesis in AD.
A Study of Realistic Love View in Love in a Fallen City
Authors: Chen Yifei
Published: October 2024

Love in a Fallen City is an early work by Eileen Chang, written during the war in Hong Kong. The work describes the tug of war in the relationships between Bai Liusu and Fan Liuyuan. It is about love, marriage, and human nature. This paper talks about the realistic love view in Love in a Fallen City in three parts, the love view shown in the work, and the influence of the author’s life experience and the historical background. This paper adds research about why the author’s writing style is different from mainstream research about the character image analysis of the work and the comparison between works. The author believes that the love view expressed by Eileen Chang in her works has realistic and sad colors. Eileen Chang uses the detailed portrayal of the protagonist’s inner thoughts and behaviors to echo real life. The seemingly happy ending also implies the sadness of the couple’s Superficial harmony and spiritual separation. At the same time, the content of the work is closely related to the author’s own experience. Eileen Chang incorporated her own experiences and the background of the war when creating the protagonist’s experience, which makes the content and style of her work extremely realistic. Therefore, it has become one of Eileen Chang’s most popular works.
Exploring the Impact of Architectural Variations in ResNet on CIFAR-100 Performance: An Investigation on Fully Connected Layers, Residual Blocks, and Kernel Size
Authors: Deng Rensi
Published: October 2024

ResNet is one of the leading neutral networks that has been widely applied in image classification. This study built a simple baseline network based on the concept of ResNet and then examines how variations in ResNet’s architecture affect its model performance to provide insights for optimizing network design. Firstly, this study investigates the number of fully connected layers, the results show that by reducing the number of fully connected layers significantly decreases the total number of trainable parameters, which in turn reduces the training time. However, this reduction does not lead to a noticeable improvement in the accuracy after convergence. In addition, increasing the number of fully connected layers not only greatly increases the training time but also leads to overfitting on the CIFAR-100 dataset, slightly reducing the training performance. Secondly, this study also analyzes the influence of reducing number of residual basic block. Analysis suggests that reducing the use of Residual Blocks has significantly negatively impacted both accuracy and training time. This may be because the use of Residual Blocks positively affects the network’s ability to learn features from the CIFAR-100 dataset. Finally, this study explores the effect of bigger kernel size of convolution layer in Residual Basic Block. The outcome demonstrates increasing the kernel size in the Residual Blocks significantly improves both training time and accuracy. Additionally, it was observed that in this variant experiment, a definitive convergence has not yet been clearly established, leaving the possibility that accuracy might continue to improve with more training epochs.
Applications of Two-dimensional Materials in Perovskite Solar Cells
Authors: Deng Yicheng
Published: October 2024

As a new type of solar cell, perovskite solar cells (PSCs) exhibit significant potential due to the high performance. In recent years, they have garnered substantial attention due to their impressive photovoltaic conversion efficiency, low production costs, malleability, and other advantageous characteristics. However, there remains considerable room for the improvement in the performance of perovskite solar cells. Key factors that critically influence their performance include the charge transport layer, electrode materials, and overall cell structure. Two-dimensional (2D) materials, as emerging substances, facilitate the modifications of PSCs and enhance the electronic conduction. In this paper, a concise overview of perovskite solar cells is provided, followed by a summary of the current progress in enhancing their performance. The applications of 2D materials in the solar cell sector are highlighted. Finally, the existing challenges and issues confronting perovskite solar cells are discussed. This work will help promote the application of 2D materials in PSCs.
Analysis of the Forming for Black Hole and Connections with Timespace
Authors: Deng Fei
Published: October 2024

Black holes remain the most popular topic in astronomy to this day because of the mystery that makes it so thoughtprovoking. It forms when a star collapses or a huge mass gather. The greater the mass of the black hole, the greater the gravitational field and the faster the galaxies contract, and eventually a massive galaxy will be swallowed up by this black hole and form a singularity. Their immense mass can bend and distort the space-time around them, and this distorting effect leads to a gravitational trap that makes it impossible for anything approaching the black hole to escape its gravitational pull, not even light or radiation. This study begins with an introduction to the basic formation principles and structure of black holes and introduces why it is related to space-time, followed by a description of how black holes are observed, their limitations, and future prospects. According to the analysis, one can acquire more knowledge about this mysterious object and lay the foundation for future research on black holes.
Applications of Taylor Series in Approximate Calculation and Limits
Authors: Liu Aruna
Published: October 2024

Taylor series plays a significant role in mathematics, especially in the fields of mathematical analysis, calculus and applied mathematics. It is not only a theoretical tool, but also an indispensable method in practical applications. For instance, it plays an important role in the fields of physics, engineering and economics. Taylor function uses function which is represented by a series of infinite additive terms, which are calculated by the derivative of the function at a certain point. This paper mainly uses literature research method and empirical research method to introduce the basic information and practical application of Taylor series. Some methods are given to solve related problems. This article demonstrates a brief introduction of Taylor series, then illustrates the steps of proof for Taylor series and provides the solutions of several practical examples. In the end, the paper focuses on the application of Taylor series on limits and analyzes some typical and interesting examples.
Design and Implementation of a 7-Person Voting Device based on Quartus
Authors: Cong Shikun
Published: October 2024

As the complexity of digital system design continues to increase, efficient and precise decision support systems have become increasingly important. This paper presents the design and implementation of a 7-voter decision system based on Altera’s Quartus software. The voter is applied in the core decision-making process to ensure the accuracy and efficiency of decisions. The study begins by outlining the design principles of the 7-voter decision system, using a design philosophy that minimizes timing delays and optimizes hardware resource utilization. A complex majority voting logic circuit is implemented using high-level hardware description languages (VHDL/Verilog), ensuring the advanced nature and applicability of the voting circuit. In terms of the logical implementation of the voting circuit, the paper conducts an in-depth analysis of the optimization of combinational and sequential logic and standardizes the input and output to enhance the signal stability and the system’s resistance to interference. On the Quartus platform, the design process of the voting system is elaborated in detail, with careful consideration given to boundary conditions and hardware compatibility. The implementation of the voter has undergone rigorous simulation and testing. Strict parameter setting for simulations and waveform analysis confirm the correctness of the circuit, and fault simulation tests further confirm its reliability. Performance indicators such as response time and percentage of resource utilization have been quantitatively analyzed and meet the design objectives set beforehand. Overall, this research not only realizes a highperformance 7-voter decision system but also provides an effective case study for applications on the high-performance Quartus design platform. Future research can build on the current work to further optimize algorithms and hardware, explore the potential for the application of the voter in a broader range of fields, and adapt to the new features of the Quartus platform to achieve more powerful decision support functions.
Charismatic Leadership: How Good Bosses Build Positive Employee Relationships Through Non-Power Factors
Authors: Wang Yifan
Published: October 2024

This research thoroughly explores how charismatic leaders build and maintain positive and harmonious employee relationships through a series of non-power factors, thus playing an irreplaceable role in organizational development. The core of charismatic leadership lies in transcending the traditional framework of authority and utilizing non-powerful means such as personal charisma, vision sharing, emotional resonance and value leadership to stimulate the intrinsic motivation of employees, and to promote the cohesion and creativity of the team. This paper analyzes cases in practice in detail, and then summarizes that charismatic leadership can play a great role in different situations. The paper shows that charismatic leaders have a profound and positive impact on organizational performance through their unique leadership style and influence mechanism. Charismatic leaders provide a strong impetus for organizational prosperity by motivating employees, driving change, and enhancing performance. This study can provide leaders with more comprehensive and in-depth guidance to help them better perform their leadership roles in the complex and changing business environment.
Advances in Cancer Immunotherapy: Enhancing the Immune Response and Addressing Therapeutic Challenges
Authors: Song Kai
Published: October 2024

Cancer is the top cause of death around the world. In 2022, nearly 20 million people were diagnosed with cancer, and about 9.7 million died from it. In China, almost 5 million new cancer cases were reported, with over 2.5 million fatalities. Immunotherapy is a new way to treat cancer. It boosts the body’s immune system to fight cancer cells. This method is less harmful to patients and more precise than older treatments like chemotherapy and radiation. There are different kinds of immunotherapy, including vaccines, treatments with substances that boost the immune system, transferring cells, and blocking proteins that stop the immune system from working. Even though immunotherapy is helpful, it can have side effects and tumors can become resistant to it. Each person’s tumor is unique, which makes treatment tricky. Sometimes, tumors can change and resist the therapy. We also don’t have enough markers to tailor treatments to each person’s needs. This review discusses the response of immune system, and how immunotherapy can be used to treat cancer.
A Research on Single-Vehicle Trajectory Planning Algorithm in MultiObstacle Environments
Authors: Zhong Jiaxi
Published: October 2024

This work aims to investigate the optimal trajectory planning for single-vehicle scenarios in obstacle-filled environments. The first section of the paper provides background information and an overview of autonomous driving trajectory planning, emphasizing its crucial role in ensuring safety and efficiency. A review of previous literature shows a range of approaches and constraints for trajectory optimization, especially in complicated and dynamic situations. Then, the single-vehicle trajectory planning optimum control problem (OCP) is stated and, in order to solve it practically, it is transformed into a nonlinear programming (NLP) issue. A classification of numerical solution methods is presented, including direct and indirect approaches. Extensive trials conducted with different initial and terminal circumstances and with single and multiple obstacles have demonstrated that the model can reliably produce the desired outcomes. As a result, the study demonstrates the robustness and efficiency of the proposed algorithm.
Research on the Cultural Factors of Insufficient Expression of Emotion in the Application of AIGC Technology in Film Production
Authors: Li Jiayun
Published: October 2024

This study discusses the application of AIGC technology in film production and its shortcomings in emotional expression. AIGC technology provides efficient, low-cost solutions in multiple aspects of film production, such as script writing, special effects production and image generation. However, AIGC technology still presents challenges in emotional expression and accurate communication of cultural context. This paper analyzes the application status of AIGC technology in movies and points out its limitations in character expression, tone of character lines, and background construction. It is found that the emotional expression of characters generated by AIGC often lacks delicacy and cannot perfectly present complex emotional changes, especially for the emotional expression in a specific cultural background. To this end, the article suggests that the AIGC technology should play a greater role in film production by enriching the emotional and cultural data of the AIGC model and strengthening the deep understanding of text and images.
Optimization and Analysis of Flow Field Simulations Across Different Mach Regimes Using Discrete Numerical Methods
Authors: Li Zhuoxuan
Published: October 2024

This article explores the development of flow field models in steady-state environments utilizing Euler equations and potential flow equations, with verification processes conducted using Python. The models demonstrate stability and high accuracy in low-velocity scenarios, capturing essential dynamics effectively. However, as the conditions transition to supersonic speeds, the models begin to exhibit increased errors. This discrepancy highlights the challenges faced in simulating high-speed aerodynamics accurately. The research underscores the importance of improving model fidelity in diverse Mach regimes, particularly in supersonic conditions where traditional methods struggle. Future research directions identified include the development of unsteady flow field models, which are crucial for dynamic analyses, optimization of grid structures for three-dimensional complex fields to improve computational efficiency, and the creation of extensive model libraries. These advancements aim to enhance the accuracy, reliability, and practicality of flow field simulations, extending their applicability in both academic studies and industry applications, particularly in aerospace engineering where precise flow modeling is critical.
An Advanced Hardware Implementation of the Trial Division Algorithm for Dividers Utilizing RISC-V ISA
Authors: Wang Runpu
Published: October 2024

In this paper, we try to design a divider based on RISC-V instruction set architecture (ISA). Since the hardware design of the divider in the ALU is very important for the CPU to implement the arithmetic function. In view of the advantages of the trial division method in the division algorithm and the popularity of the RISC-V ISA, this paper attempts to design a trial division divider utilizing the RISC-V ISA. In this design, the principle of trial division, flow chart, state diagram, RISC-V instructions of division, whole divider module and logic will be designed in detail. To test the function and feasibility, the hardware description is carried out in the Verilog hardware description language (HDL). In this description, four division RISC-V instructions are integrated. Modelsim is used to verify and test the functionality of the divider. The test waveform is used as a result to verify the feasibility of the divider.
Optimization Analysis of Low-Noise Amplifier
Authors: Zhang Xu
Published: October 2024

This paper mainly analyzes the important component of a wireless receiver – low-noise amplifiers (LNA). Low-noise amplifiers can reduce the effect of noise on the received signal and amplify signals. For the better development of wireless communication technology, remote control, and other related fields, it is necessary to optimize the design of low-noise amplifiers, so that low-noise operational amplifiers can finally obtain high gain, low noise figure, and other advantages. This paper analyzes the optimization design of LNA in the field of Global Navigation Satellite Systems (GNSS). This paper analyzes a low-noise amplifier design with the operation of concurrent dual-band for GNSS receivers with a single channel. The optimized design of a low-noise amplifier in this field uses a low-cost 0.18µm CMOS tube and adds load capacitances and a feedforward path to reduce the noise figure (NF) of the system. Noise figures in 1.2 GHz and 1.57 GHz bands are reduced by about 0.9 dB. In addition, the high gain, high linearity, and other excellent properties are shown in 1.2 GHz and 1.57GHz. In the application of 5G/6G network technology, the optimized design of Gallium Arsenide (GaAs) PHEMT technology with a gate length of 0.3µmm and inductively degraded common source topology phase structure is adopted. From this optimization, the noise figure is optimized to 1.3-1.4, and the gain of the system is 20-22 dB. At the same time, good linearity is also shown. Then, the prospects of semiconductor materials such as Gallium Nitride (GaN) and Indium Phosphide (InP), which have the advantages of high electron mobility and low-cost design, in optimizing low noise operational amplifiers. To a certain extent, the in-depth study of the optimal design of LNA can improve the technical level of wireless communication, aerospace, and other fields.
The Impact of Urban Industrial Structure on Citizen Income: Evidence from China
Authors: Wang Luoyi
Published: October 2024

Technology advancements and the rise of new sectors have caused a steady shift in the urban industrial structure of cities. It is crucial to adopt effective policies to ensure that the industrial structure is conducive to economic development. This study aims to investigate the specific impact of urban industrial structure on residents’ income and how it promotes economic development from the individual level to the city level. Based on data from 5900 prefecture-level cities from 2003 to 2022, the empirical results show the following: (1) Urban industrial structure can significantly benefit both urban and rural residents’ income positively, albeit with a larger marginal effect for urban residents. (2) Enhancing urban industrial structures, rationalizing industrial structures, and upgrading industrial structures can considerably close the economic disparity between urban and rural areas in the corresponding locations. In light of these findings, policymakers should prioritize optimizing urban industrial structures for broader income growth. Balancing industrial reforms between urban and rural areas is crucial for sustainable economic development.
Research on the Market Development of Cultural Peripheral Products: A Case Study of Animation Derivative Products
Authors: Luo Xinnian
Published: October 2024

Today, animation and comic derivative products are one of the most popular branches of cultural and creative peripheral products. With the rapid development of the foreign animation industry, animation derivative products have made much profit for people. At the same period, it also becomes one of the vital research topics. Researchers found rich progress in derivative products. However, the issue of improving the development of Chinese animation and comics is still a lack of unified explanation and cognition. Therefore, this thesis aims to research the item of animation and comic derivative products market development through literature analysis and case study. The research found that the changes in consumers’ purchase intention, imperfect industrial chains, narrow audience groups, and difficult animation propagation are the main factors leading to the dilemma of animation derivative products. Therefore, Chinese animation should perfect the animation and comic industry chain by promoting content, derivative products’ marketing approaches, and breaking down single industrial barriers and limitations.
Research on the Scrambling and De-scrambling Technique of Pseudorandom Sequences Based on Linear Feedback Shift Register
Authors: Li Jiale
Published: October 2024

With the rapid development of communication technology, the security and reliability of signal transmission and antiinterference ability have become a key challenge. Aiming at the problems, this paper deeply studies the scrambling and de-scrambling technique of pseudo-random sequences, and designed the corresponding circuit to better understand the working mode of each step. In this study, the design and implementation of the scrambling and de-scrambling technique of pseudo-random sequences circuit is carried out through Verilog language, and the advantages and disadvantages of the designed circuit are analyzed in detail and the improvement scheme is obtained. In addition, this study also compares and analyzes the advantages and disadvantages of the scrambling and de-scrambling technique of pseudorandom sequences and the scrambling and de-scrambling technique of self-synchronizing, which provides a reliable basis for selecting appropriate technical solutions in practical application scenarios. This study provides theoretical support and reference for the design of communication systems, and looks forward to the future development direction of the scrambling technology, including the development of more efficient algorithms, the exploration of adaptive techniques, and the development of low-power solutions.
Analysis of Flight Mechanism and Fluid Dynamics Based on Dandelion Model
Authors: Zheng Zelei
Published: October 2024

The elevation angle of dandelion crown hairs is investigated by controlling the angle of the fan to investigate the stability factors of dandelion flight, and the theoretical knowledge is deduced and analyzed to get the conclusion. Taking the structure of badminton ball as the basic reference, three motion states of dandelion are set, and the exit wind speed of the wind tunnel is measured respectively. Through Fluent flow field analysis, a low-pressure vortex detached from the body exists above the center of the dandelion model during flight, and a high-pressure airflow field exists below, the size of which decreases with the increase of elevation angle. The velocity field is unfolded by the semicircular arcs on both sides of the vortex and decreases gradually, and the velocity maxima appear at the left and right vertices of the elliptical vortex, and the range of the semicircular arcs of the velocity field increases gradually with the increase of elevation angle. In the elliptical vortex, there are two vortices with different velocity directions, the left velocity direction is clockwise and the right is counterclockwise.
Exploring evolutionary psychology perspectives on Sex differences in aggression
Authors: Jiang Wei , Wang Yajuan , Wei Siqi
Published: October 2024

This research aims to extend the understanding of sex differences in aggression by applying the lens of Life History Theory to evaluate the effects of age, muscle, occupation, and other variables on aggression tactics. The study involves a resource competition game with 200 participants of both sexes, who can use direct or indirect aggression strategies. A post-game survey will assess the relationship between these variables and the differences in aggression levels. The authors predict that even when taking into account other factors affecting aggression, men will prefer direct aggression, and women will prefer indirect aggression. In conclusion, this work is intended to expand current knowledge of sex differences in aggression and contribute to the field of evolutionary psychology.
Euler’s Formula and Its Applications in Modern Mathematics
Authors: Zhao Shun
Published: October 2024

This article examines the various uses of Euler‘s formula in complex analysis, topology, number theory, and other mathematical fields. Renowned for its mathematical elegance, exponential and trigonometric functions are closely related according to Euler‘s formula. acting as a fundamental basis for various key developments in these fields. By conducting a thorough analysis, the study reveals the extensive significance and lasting impact of Euler’s formula in both theoretical and applied mathematics. The research employs a comprehensive literature review, enhanced by rigorous mathematical derivations and practical examples, to demonstrate the widespread applicability and versatility of Euler’s formula in a wide range of contexts. The findings underscore that Euler’s formula not only holds a central position in theoretical mathematics but also plays a crucial role in engineering, quantum mechanics, signal processing, and physics. This study contributes to a deeper understanding of the intrinsic relationships within mathematical formulas, emphasizing their far-reaching practical relevance and potential for future research and technological innovation.