bluuebunny/crossref_metadata_2025 huggingface dataset:
Autism Children: Performance and Intervention
Authors: Ji Xinyu
Published: June 2024

People’s understanding of children with ASD is constantly expanding, causing more attention from the society and moving to a more promising direction. Now, more and more experimental research is actively involved in helping children with autism. Through collecting and analyzing the data of children with autism in eastern and western countries, this paper explores and discusses the situation and intervention of children with autism. The factors that influence autistic children are discussed in this paper, including social factors, family factors and school factors. Some intervention studies are discussed in this article, including Cognitive Behavior Therapy, sports activities such as dancing. The results signify that children with autism are still in a situation where more people need to understand and help. While there are effective strategies that can be applied to help children with ASD, research must uncover more potent therapies to support the development of independence in autistic children.
Progress of rare earth europium complexes in the field of temperature luminescence sensing
Authors: Zhang Yiyang
Published: June 2024

Rare earth luminescent complex materials, its unique 4f-4f electronic transition, which shows excellent luminous performance, especially the europium complex materials, with temperature dependent luminescent performance of europium complex can achieve high sensitivity, high efficiency of temperature sensing process, can be applied to environmental engineering, energy technology and other fields of temperature measurement and monitoring. This review introduces the research progress of europium complex in temperature luminescence sensing system, summarizes the complex material category and analyzes the influencing factors of temperature response sensitivity, further summarizes the vibration relaxation and energy transfer, and introduces the preparation of europium EVA composite complex and research results in crystal silicon solar cells, for the study of lanthanide metal complexes temperature sensing performance, in order to open the door to the practical application of such materials.
Secularity and Human Relations— Study on the Utopian Imagery in The Love Story of a Young Monk
Authors: Wang Hao
Published: June 2024

Having suffered from the spiritual trauma caused by the Cultural Revolution, Wang Zengqi reshaped the ideal society and national character through novels such as The Love Story of a Young Monk, which helped to solve the problem of spiritual distress for the folks. Continuing the romantic narrative tradition of Chinese classical literature, The Love Story of a Young Monk shows human emotions and materials in ordinary life. The common people who live in Anzhao Village hold simple moral values, shaping stable and harmonious human relations, which forms a negation and criticism survival that conforms to human nature and roots in secular life. This article attempts to study the romantic imagery in Wang Zengqi’s The Love Story of a Young Monk and finds that Wang Zengqi describes his utopian imagery from both secular and ethical perspectives, hoping to use this imagery to solve people’s current state of disappointment.
Natural Products from Marine Fungi: Progress in Extraction and Application
Authors: Jiang Ke
Published: June 2024

Marine fungi are an important class of biological resources, and their natural products are rich in chemical structure and diverse biological activities, and thus have a wide range of applications in the fields of drugs, food, agriculture and environment. Current research on marine fungal natural products focuses on the discovery and abundance of the source, the optimisation and innovation of extraction techniques and the bioactive applications of marine fungal natural products in drug production and other areas. There is still a research gap on how to better explore and understand the mechanism of bioactivity in depth, especially to better preserve the activity of marine fungal natural products under the change of environment from ocean to land and to more effectively use marine fungal resources to develop new drugs. This paper analyses the species and characteristics of marine fungi and their natural products, focuses on the current extraction and purification methods of the products and the existing problems, and elaborates on the current status and prospects of the application of marine fungal natural products. It provides a reference for the existing challenges and difficulties for future research. At present, in the field of marine fungi natural products, there are still problems such as difficult to restore marine conditions, time-consuming and labour-intensive customised extraction and purification methods for each natural product, etc. Future research can focus on finding the common points between marine fungi and terrestrial fungi, and focus on the development of biotechnology and so on.
Exploring Difference: Investigating Influential Factors Between Unpopular and Popular NBA Teams
Authors: Zhang Zihan
Published: June 2024

Throughout the history of the NBA, a team’s popularity has been a critical factor in success. Legendary teams tend to have large, loyal, diverse fan bases and considerable revenue. On the contrary, teams with low visibility often face the dilemma of low exposure to the public, low fan participation, and even continuous loss of fans, resulting in low income, bad in-court performance, and even a decline in the team. This research paper will explore the connection between unpopular and popular teams in the NBA and the reasons behind it. This paper aims to reveal the multifaceted factors that influence the popularity of NBA teams and help future teams become popular and avoid failure. Focus on why the Detroit Pistons are unpopular by analyzing team history, geographic location, marketing strategies, team identification, competition with other sports teams, and team strengths and weaknesses. Also, compare the Detroit Pistons with the New York Knicks. While revealing the differences, this paper will also propose strategic recommendations to help unpopular teams overcome adversity and lead to success.
Brain-Computer Interface Technology in Stroke Rehabilitation
Authors: Zhao Cheng
Published: June 2024

Stroke survivors and their families have had to cope with major obstacles, but Brain-Computer Interface (BCI) technology is being touted as an innovation that is a game changer. Traditional modes of rehabilitation offer only minimal help to the severely impaired; however, BCI technology provides a unique ray of hope by enabling direct communication between the brain and devices for therapy and interactive purposes. This means not only restoring movement skills or improving thinking and talking abilities but also transforming the way a person interacts with their surroundings after having a stroke. Despite this potentiality, there are several challenges that must be overcome before BCI technology can be effectively applied in clinics, like signal decoding complexity and universality & accessibility hunt. It seeks to delve into the possibilities of BCI in rehabilitation after stroke, focusing on motor recovery, cognitive and communication restoration as well as environmental interactions. These include demonstrations of innovative uses such as fNIRS-based BCIs for controlling prosthetic limbs, neurofeedback training for cognitive enhancements, and making better use of customizing BCIs to improve mobility and communication. However, it also addresses the obstacles faced in signal acquisition, interpretation, personalization, adaptation, and the training necessary for effective BCI utilization. In order to tackle these issues, forward-looking algorithms, machine learning hybrid BCI systems, and adaptive learning systems were discussed, which mark out how these obstacles will be overcome in this detailed review. The article underscores interdisciplinary collaboration in addition to user-centric designs, ethical considerations regarding access, and continued innovation, which all speak towards a future where BCI technology not only overcomes current limitations but makes rehabilitation different, giving new hope and skills among stroke survivors again.
The Beat Goes On: The Impact of Circadian Rhythms on insulin resistance
Authors: Xia Junxiu
Published: June 2024

Metabolic activities are interfered by circadian rhythm, orchestrated by the central clock suprachiasmatic nucleus (SCN) in hypothalamus and peripheral clocks in other tissue and organs. In this review, how both circadian and non-circadian genes within these organs and tissues can mutually influence circadian rhythms, potentially inducing or exacerbating insulin resistance at the cellular level is outlined. Furthermore, to delves into the impact of environmental factors beyond atypical light exposure and jet lag on the expression of genes related to peripheral clocks, emphasizing the demand for precise control experiments and the application of sophisticated statistical models for analyzing results. The expression anomalies of circadian-related genes across diverse organs may instigate varying degrees of metabolic disturbances, culminating in diverse intensities of insulin resistance. Besides, this review critically examines the effects of circadian rhythm disruptions on insulin resistance, incorporating both existing and potential pharmacological interventions that address these metabolic dysfunctions through multiple pathways. It proposes innovative experimental approaches and hypotheses aimed at enhancing our understanding of circadian influences on metabolic health.
Augmented Reality Text Translation: A Unity-Based Real-Time Approach
Authors: Yin Youding , Liu Guanzheng , Zhang Shiqi
Published: June 2024

Language barriers have remained as one of the biggest challenges when it comes to global communication. The need for text translation to happen in real time has been on the rise due to the idea of globalization in the past decades. However, there are very few well-developed applications on the market right now to serve the purpose of real-time text translation. This paper presents a Unity-based application that seamlessly translates text in real time in an augmented reality environment. It successfully combined Unity engine and C# scripts with services such as Google Cloud Vision and Google Translate to address the problem of cross-lingual understanding. The application utilizes a pre-trained machine learning model from Google Cloud Vision to recognize and translate texts and pins the translated text in relative positions on the camera as objects. The overall outcome of the application demonstrated the possibility of breaking down text language barriers. It also proved the potential usage of such technology in daily life. Users were able to view translated text objects through the perspective of augmented reality thus enabling a seamless translation experience in various environments.
An Example of Machine Learning-Based Multifactor Dynamic Quantitative Stock Picking Models
Authors: Sun Haocheng
Published: June 2024

This study utilizes the XGBoost algorithm in the field of machine learning to conduct quantitative stock picking research for CSI 300 stocks. The article firstly outlines the importance and practical application background of quantitative stock selection, and then discusses in depth the basic principle of XGBoost algorithm and its application method in quantitative stock selection. By collecting historical data of CSI 300 stocks and after data preprocessing, this study constructs a multi-factor stock prediction model based on XGBoost and conducts relevant backtesting. Comparative experiments show that the XGBoost algorithm exhibits good effectiveness and demonstrates the unique advantages and characteristics of its stock selection strategy. The conclusion of the study shows that the XGBoost-based stock selection strategy has potential application value in the stock market and can provide investors with accurate and efficient stock selection reference.
Empowering Second Language Writing Instruction with Automated Writing Evaluation
Authors: Gao Zichun , Zhao Danying
Published: June 2024

Automated Written Evaluation (AWE) not only provides feedback on grammar and machine language in China today, but also aims to find inconsistencies and text errors and provide timely feedback and correction for independent and comprehensive writing tasks in these areas. It has provided services to more than 1400 universities and research institutions nationwide. Considering the effectiveness and significance of its problem-solving, the study has read a large number of professors’ research literature and reviewed it. AWE has gradually become an auxiliary teaching method. Many literatures have proven their help to second language writing, but there are also a few problems and shortcomings. Only by combining various kinds of feedback (teacher feedback and AWE feedback; AWE feedback and peer feedback) can the paper effectively reverse the feedback effect of AWE. In addition, not only the advantages of AWE itself affect the correctness of learners’ second language, but also the differences in the cognition and application of AWE between teachers and students will affect the effectiveness of AWE.
The Tragic Origins of Hong Kong and Taiwan Literature in the 1950s and 1960s
Authors: Sun Yingtong
Published: June 2024

By the 1950s and 1960s, literary works from the regions of Hong Kong and Taiwan began to broadly exhibit characteristics of sadness and melancholy. Moving beyond the constraints of previous research, which primarily focused on the biographical analysis of individual writers, this paper has expanded the investigation’s scope. This includes a comprehensive analysis of social environment, personal emotions, writing techniques, literary assertions, and gender consciousness. It concludes that the tragic essence of Hong Kong and Taiwan’s literary works is a complex and multifaceted, driven by multiple factors that cannot be singly examined. This discovery of the multifaceted core of tragedy in Hong Kong and Taiwanese literature introduces new methodologies for analyzing tragic literary works. It fills the gap in current research regarding the analysis of causes from multiple perspectives, providing a more diverse and compelling argument for the origins of tragedy in Hong Kong and Taiwanese literature. Offering different perspectives for studying the uniqueness of Hong Kong and Taiwanese literature, this work adds new views and a comprehensive research direction for the causes behind tragic works, thus broadening the scope for future research.
The Relationship Between Self-Efficacy and Writing Anxiety in Foreign Languages: A Case Study of Non-English Majors at a Chinese Institution
Authors: Huang Yingxu , Li Minghang , Liu Sitong , Wang Yajuan
Published: June 2024

Self-efficacy and writing anxiety are two important psychological characteristics of writing. This study investigates the relationship between self-efficacy and anxiety when writing in a foreign language. Writing anxiety is significantly negatively associated with self-efficacy, which is reflected in writing performance, according to empirical data analysis, and these two variables interact. The higher the anxiety in foreign language writing, the lower the self-efficacy. Therefore, this paper concludes that improving writers’ self-efficacy can help reduce writing anxiety, promote higher-quality writing performance, and improve writing ability. Based on the above, this article puts forward suggestions on how to alleviate writing anxiety by improving self-efficacy. This paper argues that college students can improve their self-efficacy by accumulating writing strategies, completing writing tasks in sections, and improving their writing skills. In addition, educators can help learners overcome anxiety through appropriate teaching methods, writing strategies, and interventions, as well as encouraging attitudes and positive feedback.
Imitation Effect and Spatial Ballet:Research on the Media Presentation and Communication Practice of “Micro Travel” in Internet Famous Cities
Authors: Xie Jiahui
Published: June 2024

The imitation effect and spatial ballet play an important role in the media presentation and dissemination practice of “micro travel” in famous cities on the internet. Through in-depth research and analysis of the laws and mechanisms behind these phenomena, this study can better understand and grasp the tourism industry’s development trends and innovative practices, providing strong support for promoting sustainable development. This article also believes that some problems exist with media presentation and communication practice. Media can enhance public awareness and understanding of the tourism industry by exploring the cultural connotations and social values behind “micro travel”.
Research on Diabetes Prediction Based on Machine Learning
Authors: Li Yixuan
Published: June 2024

Diabetes is a serious chronic disease and successful prediction can effectively improve early intervention and subsequent treatment. Nowadays, machine learning technology is gradually attracting people’s attention in diabetes prediction. However, previous research is relatively limited for now. This review systematically and comprehensively reviews the current status of diabetes prediction, the application of machine learning in this field, and the current challenges faced by machine learning. First, the epidemiological characteristics of diabetes and the background of the rise of machine learning in the medical field are introduced. Secondly, the latest progress and typical cases of machine learning technology in diabetes prediction are discussed. Subsequently, the methods and challenges of data collection and feature processing are discussed in detail, as well as commonly used machine learning models and their evaluation methods. We will further comprehensively analyze the main findings and results of existing research, evaluate the application effect of machine learning in diabetes prediction, and look forward to future research directions and development trends. This review will provide researchers with a comprehensive guide to the latest advances and methods of machine learning in diabetes prediction and promote further research and applications in related fields.
Integrating Multi-source Remote Sensing Technology to Improve Water Resource Management Methods at Poyang Lake
Authors: Chen Xinye , Feng Pengcheng , Feng Weijun , Shao Zhuozhuo
Published: June 2024

With the progress of science and technology, the material life of human society is becoming more and more perfect. Still, it also causes the human living environment to become more and more harsh. Water resources are polluted to different degrees, affecting the sustainable development of ecology. Water resource management based on emerging technologies is urgent. The purpose of this paper is to analyze and evaluate the pollutants and types of pollution in the water body of Poyang Lake based on multi-source remote sensing data through the pollution indicators of colored soluble organic matter pollution, water body eutrophication, and heavy metal salt pollution. This paper concludes that Poyang Lake faces problems such as high organic pollution during the abundant water period, medium eutrophication of the water body, and excessive cadmium and manganese heavy metal salts. This paper finds that establishing relatively different pollution indicator systems is more conducive to analyzing and evaluating water resource pollution in different geographical areas. With the progress of remote sensing science, more and more remote sensing technology is applied to the governance and management process of water resource pollution.
The Human Papillomavirus E2 Protein
Authors: Fang Yitong
Published: June 2024

The human papillomavirus (HPV) is the predominant viral infection of the reproductive system, leading to a range of diseases in both males and females, including precancerous lesions that have the potential to develop into cancer. Certain HPV infections can cause the development of genital warts, while others can lead to the formation of abnormal cells that have the potential to progress into cancer. Although preventative vaccines are accessible and have shown encouraging outcomes, the worldwide occurrence and death rates of HPV-related malignancies continue to be elevated, especially in low- and middle-income nations. Currently, there is no known remedy for HPV infection, and innovative therapeutic methods such as immunotherapy have emerged as successful tactics for treating and eradicating malignancies caused by the virus. The oncoproteins E6 and E7 have been widely employed in early immunotherapies, such as HPV therapeutic vaccines, with the goal of treating related illnesses and cancers by inducing a strong cellular immune response to eradicate infected cells.Moreover, the E2 protein shows great potential in the advancement of HPV therapeutic vaccines because of its crucial function in controlling viral gene expression and replication. This publication provides an overview of the HPV genome and emphasizes the crucial significance of the E2 protein in the life cycle of HPV. We provide an overview of the present state of E2-targeting techniques and examine their potential for use in cancer therapy.
Research on the mechanism of dynamic avalanche induced by IGBT short circuit and its influencing factors
Authors: Liu Yuting
Published: June 2024

The insulated gate bipolar transistor (IGBT) is currently the most important power electronic device. It has a simple drive circuit, high operating frequency, and stable temperature. Through structural optimization and the development of new materials, its voltage and power levels have gradually increased. First, a four-unit parallel device model was established, and the electric-thermal coupling numerical simulation method was used to simulate the current, electric field, hole concentration, temperature distribution, impact ionization rate and other parameters during the dynamic avalanche process of Type II IGBT, revealing the conditions under short-circuit conditions. dynamic avalanche mechanism. On this basis, different structural parameters were compared and analyzed.
An Optimized Hybrid ARIMA-GARCH Model Application on RR Interval Time Series Prediction for Heart Disease
Authors: Shu Sicheng
Published: June 2024

Heart disease is one of the highest mortality rate diseases worldwide, with arrhythmias frequently serving as a trigger (such as cardiomyopathy) or a complication (such as coronary heart disease) for cardiovascular diseases. Therefore, it is crucial to monitor abnormalities in heart function through the early identification of deviations in heart rate variability (HRV). In modern medical systems, wearable real-time monitoring devices and artificial intelligence are commonly employed to generate electrocardiograms (ECGs) and analyze HRV data. The key to this application lies in making reasonable judgments of HRV data using data mining tools, including multiple linear regression, support vector machine, random forest, or long-short-term memory neural networks. However, these models fail to yield satisfactory results for cardiac rhythm monitoring. Consequently, the paper introduces an optimized hybrid ARIMA-GARCH model to enable heart disease detection and pathological diagnosis, playing a guiding role in personalized treatment and the tracking of the cardiovascular health status of monitored individuals. The proposed model combines data preprocessing using the one-sided Hodrick Prescott filter and parameter tuning based on partitioning-interpolation techniques and Fast Discrete Fourier Transform to fit and predict the RR interval time series. Experimental results indicate that our proposed model exhibits significant advantages in quantitative assessments compared to other models, as it effectively preserves the trend and accounts for high volatility in short-term forward prediction.
Current status of TiO2 photocatalytic reduction of carbon dioxide
Authors: Cheng Zhikai
Published: June 2024

this study summarizes the current research status and development trend of TiO2 photocatalytic reduction of carbon dioxide, including the reaction mechanism, metal-loaded TiO2, semiconductor composite TiO2, and organic photosensitizer-modified TiO2, and shows that the metal-loaded TiO2 enhances the catalytic activity, and in particular, copper-loaded catalysts on the surface of TiO2 have the potential. Semiconductor composite TiO2 enhanced the photogenerated carrier transport efficiency and improved the catalytic activity. Modification of TiO2 with organic photosensitizers can improve the photocatalytic efficiency, but challenges such as stability and light absorption efficiency need to be addressed.
Research on the Influencing Factors of Beijing’s GDP
Authors: Feng Juncheng
Published: June 2024

This paper aims to discuss the factors affecting Beijing’s GDP. The data of this paper comes from the Beijing Statistical Yearbook. By reviewing relevant literature, this paper selects five variables with the highest probability and uses the method of multiple linear regression to analyze these five variables in Beijing in 1999-2018. Considering that the variables will affect each other, this paper also adopts the stepwise regression method to solve the problem of multicollinearity. The final results show that import and export trade and the total retail sales of social commodities in Beijing have a significant impact on Beijing’s GDP. In contrast, the total investment in fixed assets, resident population, and total energy consumption do not pass the significance test. In conclusion, Beijing’s GDP is affected by import and export trade and total retail sales of social commodities in Beijing. Beijing should pay attention to the development of these two factors to further improve its economic strength and competitiveness.
The Impact of South Korean Love Variety Show on the Love Concept of Chinese College Students: A Case Study of “Single’s Inferno”
Authors: He Weijun
Published: June 2024

This paper discusses the influence of Korean love variety on the love concept of college students in the Chinese Mainland. This article argues that with the increasing popularity of emotional observation programs among college students and young people, as well as the intertwined background of the late marriage trend, many college students hold an attitude of avoidance and rejection towards love and marriage, resulting in a large portion of college students being in a state of “not knowing what it is”. The issues of “fear of marriage” and “refusal to socialize” have received widespread attention nowadays. This article mainly takes the Korean dating variety show “Single’s Inferno” as an example to analyze whether this type of variety show has a certain impact and change on Chinese college students’ concepts and social styles. This article argues that this type of variety show has a certain change in the love view of college students, which will indirectly change their recognition of emotional value. Based on this, the following suggestions are proposed in this article. College students should strengthen their ability to discern and judge information. The media and program producers need to strengthen content control and positive guidance.
Case Study of a class-action lawsuit against Tesla’s Monopolistic practices based on its price discrimination strategy
Authors: Xu Hanwei
Published: June 2024

This essay investigates the intersection of Tesla’s restrictive policies on third-party parts and services with its price discrimination strategy, analyzing the legal and economic implications. The class-action lawsuit filed by five Tesla owners in March 2023 alleged violations of the Sherman Antitrust Act and the Magnuson-Moss Warranty Act. Despite claims of misleading repair cost information and post-purchase restrictions leading to higher expenses for consumers, Judge Trina Thompson ultimately dismissed the case. The study illuminates Tesla’s economic rationale for implementing such policies, exploring how they contribute to its pricing strategies. It evaluates the potential impacts on consumers, including loss of warranty eligibility and compatibility issues with third-party parts. Perspectives from the plaintiffs, Tesla, and the court are examined, highlighting contrasting viewpoints on monopoly practices and consumer rights. Furthermore, the essay reveals broader implications for antitrust concerns arising from price discrimination strategies employed by modern firms.
Research review on wireless charging technology of new energy electric vehicles
Authors: Yu Zhenghao
Published: June 2024

With the advancement of science and technology, electric vehicles have become increasingly prevalent as a mode of transportation. The vehicle is equipped with both wired and wireless charging capabilities. However, the latter requires a larger area, which restricts the number of charging opportunities and is incompatible with the growing demand for charging. Consequently, wireless charging will become the dominant method of charging electric vehicles in the future. This study will provide a comprehensive comparison of five main radio power transmission methods, with a particular focus on the in-depth analysis of ICPT and MCRPT systems. It will also discuss strategies to improve the efficiency of the magnetic coupling mechanism and cope with power fluctuations in dynamic charging. Additionally, different power supply modes will be evaluated, with particular emphasis on the efficiency, stability, and cost-effectiveness of the compensated rail supply mode. Finally, this study sought to identify the key research areas for the advancement of wireless charging technology for new energy electric vehicles. It also highlighted the areas that require particular attention in future research.
An Analysis of the Interaction Between Internet Celebrity Economy and Social Networks
Authors: Chen Anxin
Published: June 2024

At the time of the development of social networks, a new type of professional influencer was born, and the trading market and online social structure that revolved around Internet celebrities were called the internet celebrity economy. In recent years, the Internet celebrity economy has become more mature. It has also brought a lot of profits to the whole society and provided jobs, opportunities to cross social network barriers, and other benefits. Still, people’s impulsive consumption, total social productivity decline due to the comparison psychology generated by the Internet celebrity economy and other negative factors are a serious problem about the Internet celebrity economy and need to be solved. This study examines the beneficial and negative phenomena encountered in the internet celebrity economy’s development and summarizes some suggestions on how to avoid them.
Exploring the Use of Machine Learning in Healthcare Prediction
Authors: Ren Zhiyuan
Published: June 2024

The development process of modern society is accelerated, and at the same time, people’s need for medical care deepens. The main purpose of this study is to summarize the general situation of the current application of machine learning in medical prediction. This paper mainly analyzes the current situation of the application of machine learning models as well as the existence of problems by dissecting the current situation of the application of machine learning models and carries out a comprehensive analysis of its features. It focuses on analyzing the issues in the application of machine learning in disease prediction in imaging diagnosis, cancer risk assessment, cancer recurrence prediction, and mental illness prediction and make an arrangement summary about the current status of machine learning models in various healthcare prediction domains and owning characteristics The ultimate goal of this paper is to conclude the extent to which machine learning models can play a role in the context of the current continuous development of medical technology.
The Effect of Corpus Translation Assistance on Translation Learning Outcomes
Authors: Shi Xinyu
Published: June 2024

With the continuous development of society and the trend of economic globalization, mastering English translation skills is not only to fill the gap in social talents but also to meet the needs of one’s development. At the same time, with the continuous development of translation technology, corpus plays an increasingly important role as a powerful auxiliary tool in translation learning. The purpose of this paper is to explore the impact of corpus translation assistance on the effect of translation learning, summarize the main contents of the previous research literature in the field of translation studies, and analyze and summarize the current research results, focusing on the research results of different experts and scholars. From the perspective of the impact of corpus on translation learning, previous studies have either focused on the impact of corpus on teaching methods in colleges and universities or students’ learning of foreign languages. From the perspective of the impact of corpus on translation practice, some previous studies have focused on the help of corpus in a specific discipline or research field. Some studies have analyzed the corpus’s establishment, development, and improvement in different professional fields. At the same time, this paper analyzes and looks forward to the specific research on the Collins corpus, which is relatively blank in the current research, and gives research suggestions at the end to provide some references for future research on the impact of corpus translation assistance on translation learning and translation practice effect.
CRISPR-Cas9 Gene Editing: A Promising Frontier in Revolutionizing Alzheimer’s Disease Management
Authors: Jin Yuxin
Published: June 2024

Alzheimer’s disease (AD) is a globally devastating neurodegenerative disorder with a significant burden on public health. Currently, the pathophysiology of AD remains uncertain. Meanwhile, conventional pharmacological treatments for AD accomplished with limited efficacy and undesirable side effects necessitate the exploration of novel therapeutic approaches. This paper highlights the potential of clustered regularly interspaced short palindromic repeats-associated proteins nine systems (CRISPR-Cas9) as a promising approach to cure AD by examining its applications in genome editing and mechanism of action on specific AD-related genes. In addition to targeted therapeutic options for either familial or sporadic AD, the review also emphasizes the importance of utilizing in vivo and in vitro AD experimental models to evaluate the efficacy and safety of CRISPR-Cas9 interventions. The significance of this research lies in its potential to revolutionize AD management and serve as a valuable reference for future studies. However, unresolved issues, such as the complexity of on-target effects and the need for improved delivery efficiency, underscore areas for future ongoing investigation and development in the field of AD therapeutics.
The Progress and Development Prospects of Targeted Therapy for Bone Malignancies
Authors: Zheng Jingqi
Published: June 2024

Bone malignancy is a relatively uncommon type of tumor whose cause is not well understood, mainly affecting children and adolescents, and its cure rate and prognosis vary depending on the type of tumor. At present, targeted therapy is the latest research progress in bone malignancy, and some effective targets for the treatment of bone cancer have been confirmed through research, and a series of targeted drugs for specific targets have been developed and have been approved for marketing and achieved relatively good clinical efficacy. But the problems such as inhibiting the incidence of bone metastasis in other tumors and the side effects of some targeted drugs have not been effectively solved. This article reviews the recent research on the therapeutic targets of bone malignancies such as Glut-1, iNOS and RANKL, as well as the development of new targets such as PD-1/PD-L1. Glut-1 and iNOS are relatively complete, but there are few studies on the development of RANKL and PD-1/PD-L1, and their therapeutic mechanisms and efficacy lack sufficient theoretical evidence to support them. In addition, this article compares and reviews the efficacy of two common targeted drugs for bone malignancies, ibandronate sodium and zoledronic acid, and describes the development and research progress of the new targeted drug denosumab. The purpose of this article is to provide strong theoretical and data support for targeted therapy for bone malignancies in the future, but the impact of tumor microenvironment on targeted therapy and the side effects of targeted therapy have not been properly solved.
The Effects of Dietary Fiber on Metabolic Health and Gut Microbiota
Authors: Lin Tianyi
Published: June 2024

Glucolipid metabolic disorders (GLMD) are fast-going health concerns worldwide. There is a growing interest in researching nutritional approaches that can enhance human health and it is commonly known that dietary fiber has prebiotic effects. This paper investigates the relationship between dietary fiber and GLMD, with a focus on obesity and type 2 diabetes. Dietary fiber mechanisms in modulating glucolipid metabolism. Specifically, it examines DF’s role in regulating glycemic levels and lipid metabolism. Also, five separated experiments conducted on healthy adults are listed to show the relationships between dietary fiber and short-chain fatty acids (SCFAs) production. The findings underscore dietary fiber’s potential as a therapeutic intervention for mitigating GLMD by multiple pathways, including improving insulin sensitivity, promoting satiety, and modulating gut microbiota. Overall, the insights provided in this review contribute to a deeper understanding of dietary fiber’s therapeutic potential and pave the way for future research and applications in the field of metabolic disorders.
Research On The Impact Of “Fan Circle Culture” On The Sports Industry From The Perspective Of Fan Economy
Authors: Wu Chengtai
Published: June 2024

With the vigorous development of the global sports industry, more and more people are paying attention to the sports industry, but it is inevitable that fandom culture will be brought into the sports industry. The paper is based on the analysis of the current situation of the Chinese table tennis team and the Premier League’s fandom, this article concludes the causes and impact of the fan circle culture. The research has found that fan circle culture has both positive and negative effects on the sports industry. If fandom culture is used rationally, it will promote the development of the sports industry, and relevant measures will also be taken to avoid the adverse consequences of excessive fandom. Otherwise, it will cause some serious consequences like damage to the reputation of athletes and clubs and affect the normal progress of the game. This article also analyzes the causes of rice circle culture, which can be used to reduce adverse effects.
Adversarial Models and Game Theoretic Logic Related to Online Security
Authors: Chen Yuexiao
Published: June 2024

As the percentage of online activities in people’s daily lives increases, the importance of protecting users’ information from online attackers is getting more concerned. This article is going to explore the possibility of the approach that game theory is used as a framework of adversarial models by analyzing and contrasting the mechanism of three different types of adversarial, designing game theory models to simulate those adversaries, and thinking about the challenges and limitation of the approach the article is talking about. With those steps being carried out, it is feasible to apply game theory to simulate the actions of adversaries and security keepers. However, game theory is still limited in some fields, including simulating a passive adversary’s usual behaviors that lack interaction and simulating counteraction, including a large number of participants. To summarize, by testing and analyzing the game theory model that simulates adversaries, it can improve or design protocols to ensure online security.
The Application of Translation Theory and Practice in Chinese Regular High School English Writing
Authors: Lu Yinjia
Published: June 2024

This paper studies and explores the possibility of integrating senior high school English writing with proper translation theory and practice. Due to the current situation of senior high school English writing, reforms in teaching methods are quite necessary. In the past, senior high school English teaching often separates translation and writing, neglecting the inner relationship between writing and translation. The paper aims to find a new way to integrate translation with writing, mainly focusing on a specific teaching method in translation——Process-oriented teaching and learning methodology, exploring its application in the English writing learning process. The method especially emphasizes the importance of process of learning English writing skills, which can help students acquire writing skills in a better and more sufficient way. In addition, other important advantages of learning translation, which help students learn writing skills, are also mentioned in the paper, including linguistic skills, non-linguistic skills, translation competence, and so on.
Three Threats to Putin’s Regime:Democratic Threat, Military Threat and the Threat of War
Authors: PAN Boxi
Published: June 2024

Putin’s regime is considered one of the most powerful populist regimes in the world. This essay will explore the most significant threats to a populist regime such as Putin’s. The essay will discuss three types of threats: democratic, military, and the threat of war. The democratic threat refers to the challenge of democratic forces to Putin’s regime, while the military threat involves internal armed opposition to his rule. The threat of war encompasses the potential for foreign conflict and its associated side effects. Of these three, it is argued that the democratic threat poses the greatest risk to Putin’s regime.
Targeted HIF-1a to Treat Tumors: Mechanisms, Application and Future
Authors: Ding Zian
Published: June 2024

Cancer has become one of the major health challenges in the world today. With the growth of population, the change of lifestyle and environmental pollution, the incidence of cancer is on the rise, which presents a major risk to the lives and health of people. At the same time, with the aging of the population and the change of lifestyle, the mortality rate of cancer continues to rise, which brings a heavy burden to society, families and individuals. At present, radiation therapy, chemotherapy, and surgical resection are the three primary cancer treatment methods.HIF-1a as a transcription factor is highly related to tumor proliferation, and related therapeutic strategies have great potential. This article provides an overview of the research on the relationship between HIF-1a and tumors, explains how HIF-1a can be used to stimulate tumor growth and stability, and lists some practical ways to use the HIF-1a transcription factor to treat tumors. It provides a new research direction reference and guidance for the frontier research of tumor therapy, and provides a new possible cure option for tumor patients.
UAV Obstacle Avoidance Technology
Authors: Wang Hongyi
Published: June 2024

This article investigates the obstacle avoidance technology of unmanned aerial vehicles (UAVs). Firstly, the background, purpose, and significance of UAV obstacle avoidance technology are introduced. Then, the domestic and foreign research status is analyzed. Next, an overall plan for UAV obstacle avoidance is proposed, including demand analysis and system design. Afterwards, the theory and specific steps of binocular stereo vision obstacle positioning are discussed in detail, including camera calibration, image rectification, and stereo matching. Furthermore, methods for estimating obstacle motion states are researched. In addition, path planning methods for obstacle avoidance are explored, with a focus on the principles, issues, and improvement methods of artificial potential field method. Finally, the main achievements of this study are summarized, and future research directions are outlined. The innovation of this article lies in the proposal of an improved artificial potential field method, and the precise obstacle positioning achieved through binocular stereo vision. Future research can further optimize the path planning methods for obstacle avoidance to enhance the effectiveness and reliability of UAV obstacle avoidance.
The Role of Plant-Based Diet in Adolescent Obesity Rates and Its Potential as A Solution
Authors: Chen Zixin
Published: June 2024

s. This study examined the impact of plant-based diets on obesity rates among adolescents, described their potential positive impact on adolescent obesity, including how they can help adolescents improve their weight management and overall health by providing low-calorie, high-fiber food options. An in-depth discussion of the dual effects of adolescent obesity on physical health and psychosocial well-being was provided, including the increased risk of chronic disease and the psychosocial disorders that can result. It also analyzed the health benefits of plant-based diets from a nutritional perspective, discussed their short- and long-term health effects, and identified challenges that may be faced when implementing plant-based diets, such as nutritional imbalances, acceptance and adaptation issues, and lack of education and information. To address these issues, this paper proposed a range of solutions including providing nutrition education and guidance at the school and community levels, enhancing diet acceptance through media and public policy, and government support and incentives. These strategies aim to promote the popularization of plant-based diets and improve eating habits among adolescents, thereby effectively managing and reducing obesity rates.
Visualization and Analysis of Consumer Data in Gaming
Authors: Du Yixuan
Published: June 2024

Games represent a structured form of play, typically engaged in for amusement, pleasure, or educational purposes. These activities span a diverse range, including board games, card games, video games, and outdoor physical games. Central to their design are defined rules, objectives, competitive elements, and interaction among participants. Universally cherished across all ages and cultures, games serve not only as entertainment but also as dynamic tools for interaction and learning. Each game consists of numerous components, and the alignment and execution of these elements can determine whether a game is perceived as successful or not. Crucially, consumers act as the primary indicator of a game’s reception. By analyzing game-related data, one can gain insights into consumer preferences and behaviors. This involves collecting extensive datasets, performing rigorous analysis, and employing visualization techniques to elucidate patterns and trends. Additionally, various models are applied to discern outcomes, enhancing understanding of what aspects resonate with users and drive engagement. This comprehensive approach not only aids in optimizing game design but also in tailoring experiences to meet evolving consumer demands.
The foundation, current situation and future prospects of pre-training large language models
Authors: Han Haoran , Wu Siyao , Yang Jinyao , Zhao Yizhuo
Published: June 2024

The field of artificial intelligence has developed rapidly recently, and large language model technology, as a representative technology of it, can provide general knowledge and make many downstream tasks easier and more convenient. However, although many people use large language models to do some work, they still lack a systematically summarized literature. Therefore, in this article, we made a systematic summary. We first wrote about the early large language models, then we presented the development of GPT and how to use the GPT model, then we introduced the advanced GPT models, and finally we mentioned the risks and challenges faced by the GPT model. Our work can help users better use large language models.