bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Factors Influencing Housing Price based on Principle Component Analysis and Polynomial Regression
Authors: Shi Jingcheng
Published: October 2024

Housing price is influenced by natural, social, economic and other factors. Only by understanding and conducting specific research on these influencing factors can people grasp the laws of housing price movements. Focusing on this issue, this paper chooses the average unit housing prices and their influencing factors of 11 cities in Zhejiang Province in 2022 as the research objects, then establishes a model reflecting the quantitative relationship between housing price and influencing factors. Firstly, relevant data is collected from official websites, including housing prices and 10 main influencing factor indicators of above cities. Secondly, principal component analysis is used for data preprocessing, and five prominent indicators are selected by calculating the relative contribution rate of each factor. Then, by drawing functional images and solving correlation coefficients, a qualitative analysis is conducted on the basic algebraic structure of the regression model. The results indicate that all independent variables include independent terms and cross-terms. Subsequently, through polynomial regression, data matrices for both dependent variable and independent variables are set to solve the coefficients of constant term, linear terms, quadratic independent terms and quadratic cross-terms respectively. Therefore, a model of factors influencing housing price is established. Finally, residuals sum of squares, mean square error, regression sum of squares and determination coefficient are calculated in sequence for the regression model. It turns out that all the statistics are within the ideal range, indicating high precision of data fitting and verifying the accuracy and reliability of the model.
Exploring the Impact of Artificial Intelligence on Humanity
Authors: Wang Zhiyou
Published: October 2024

This study discusses whether artificial intelligence will pose a threat to human beings. This topic is chosen as AI affects everyone in the 21st century and the problem of it being a threat will come to if nothing is done. Signs of AI can be seen everywhere, from robots to phones, and even dishwashers, this piece of technology has grown to become an irreplaceable figure in the lives of humans. However, as the speed of development of technology increases, AI might get out of control and even become a threat to people. This research has stated some threats it will cause and their solutions. Much literature written by technology experts has been read and used as references in this research to provide reliable data. This research can be used to help solve or mitigate the problem in the future as it explains in detail what could be done. From this research, it concluded that without humans doing anything to interfere with this problem, AI will threaten humans someday. However, this day might not come so soon due to factors like countries refusing to sell microchips to China because of competition. Therefore, if the solutions listed in the research are used, the probability of AI becoming a threat to people will decrease dramatically.
Time-Based Cryptosystem
Authors: Gan Rui
Published: October 2024

In this paper we introduce a Time-Based Cryptosystem (TBC) scheme. This scheme requires a Time-Based Key Generation Center (TBKGC) to broadcast a set of public keys based on the Multi-prime RSA (MPRSA) at every new interval. The sender encrypts the plaintext with a specified period of time and the corresponding public key broadcast by the TBKGC. And the receiver acquires the corresponding key from the TBKGC to decrypt the ciphertext. We discuss the difference between TBC and Time-Specific Encryption (TSE). Finally we suggest extension and directions of improvement of TBC.
Corticosterone-Mediated BDNF Changes and Their Effects on Adult Neurogenesis in Depression
Authors: Zhao Yiguo
Published: October 2024

Adult neurogenesis, the process of generating functional neurons from neural precursor cells in the adult brain, is essential for cognitive function and emotional regulation. Major Depressive Disorder (MDD), characterized by persistent sadness and decreased psychosocial function, is associated with impaired adult hippocampal neurogenesis (AHN). Elevated levels of corticosterone (CORT), a glucocorticoid released in response to stress, have been shown to downregulate brain-derived neurotrophic factor (BDNF), a crucial regulator of neurogenesis, thereby inhibiting AHN. Despite significant advances in understanding the impact of CORT and BDNF on neurogenesis, the precise molecular and cellular pathways involved remain unclear. This review highlights key gaps in the research, particularly the need for a deeper understanding of how glucocorticoid and mineralocorticoid receptors regulate BDNF transcription, the role of autophagic pathways in BDNF degradation, and the influence of glutamatergic signaling on these processes. Future research should focus on elucidating these mechanisms to develop targeted therapeutic strategies, including pharmacological interventions that modulate BDNF and CORT levels and lifestyle modifications like exercise and adequate sleep to enhance neurogenesis. Understanding these complex interactions will be crucial for advancing treatments for depression and improving mental health outcomes.
The Role of AI Technology Plays in Chinese Students’ Spoken English Learning
Authors: Tao Zhouning
Published: October 2024

With the popularization and development of the Internet, artificial intelligence as a common tool has been widely used in Chinese students’ spoken English learning. Language learning assisted by AI technology is developed from information technology-assisted language learning. Although it has many advantages, it has not been fully developed and applied, and there is a research gap in the field of technology and ethics. This paper is a systematic review that describes in detail how information technology-assisted language learning has developed step by step from computers to artificial intelligence Apps and even robots, and summarizes the advantages of AI technology in spoken language learning, such as vividness, accuracy, and convenience, as well as the limitations of difficult application, high cost, low error-tolerant rate and neglect of cultural differences. Through literature investigation and comparative analysis, this paper summarizes the relevant suggestions and improvement plans for AI technology-assisted spoken English learning.
The Application of Calculus in Physics
Authors: Ge Zihao
Published: October 2024

One of the foundational areas of mathematics is calculus. Functions, limits, differential and integral calculus, and their applications make up most of the subject. Differentiation and integration are the limits of certain processes and forms, functions are the essential subjects of calculus investigation, and limits are the fundamental notions of calculus. This article explores the applications of calculus to gravity, rotational inertia, and force in physics. This exploration of calculus highlights the enduring importance of this mathematical tool in theoretical and applied physics, and its key role in driving future scientific breakthroughs. Calculus is a mathematical tool for studying the rate of change, area under a curve, and limits. By precisely expressing the rate of change information of a function at a given location, such as slope, area, and curvature, it can aid in the understanding and solution of problems pertaining to changes in physics, engineering, biology, and other subjects. The growth of mathematics is substantially aided by the introduction of calculus. employing calculus to find solutions to a wide range of issues that usually required only elementary mathematics. It makes it possible to describe functions, velocities, accelerations, and curve slopes using a common set of symbols.
Functional Diversification Strategy: A Key Factor in the development of start-up Art Districts brand building
Authors: Tang Mingxuan , Jiang Yunan , Wang Jinghan
Published: October 2024

Our research focuses on the difference between functional diversification strategy and product functional diversification strategy, and give a detailed definition and introduction. As well as focused on exploring how a functional diversification strategy contributes to art district branding in the early stages. We employed the case study approach, examining the SteelStacks Cultural Arts Park in Bethlehem, USA. Our findings highlight the benefits of a diverse, integrated arts district as exemplified by SteelStacks, which underwent a successful transformation. The case underscores the importance of economic revitalization, cultural renaissance, community engagement, sustainable development, and collaboration in fostering vibrant and resilient arts districts that serve both the local community and society at large.
The effect of narratives in United Nations Virtual Reality
Authors: Jiang Tianxiao
Published: October 2024

Viewed as an empathy machine, Virtual Reality (VR) film has been utilized by many humanitarian organizations. to augment individuals’ comprehension of humanitarian issues and evoke empathetic responses. Despite extensive analysis on the impact of virtual reality in eliciting empathy and its narrative techniques, there exists a research gap regarding the specific attributes of UNVR films. This paper critically examines the positive effects, unresolved challenges, and ethical concerns of UNVR films, particularly through the lens of various narrative techniques, including their documentary realism, montage, external authorship, and extra-diegetic voice-over. This paper calls attention to how UNVR films, despite conveying the same content and expressing the same ideas, achieve better effects than one-dimensional or two-dimensional media, enhancing the audience’s comprehensions of suffering groups such as refugees and eliciting empathy, while also pointing out the challenges that UNVR still faces. The paper also analyzes the fundamental deficiencies of UNVR in terms of embodiment and eliciting empathy. It will conclude with suggestions for future research on how to utilize narrative techniques, based on unique features of VR, to enhance the role of UNVR in addressing humanitarian issues.
Peer pressure Influences Adolescents’ Internet Addiction
Authors: Xie Jingzhe
Published: October 2024

The focus of the study is on peer pressure, which is an important factor in adolescent development and how it interacts with Internet use and dependence. Adolescents’ growing reliance on the Internet has led to peer pressure not only through traditional social interactions but also over extensive digital networks, resulting in psychological health problems and patterns of excessive online participation. This study gives measures to prevent Internet addiction and reduce free influence by identifying different types of free stress and influence on Internet usage. Finally, the study describes the relationship between Internet dependency and peer pressure among teenagers, so that we can better provide parents, educators, and policymakers with the necessary knowledge and tools that can support adolescents in managing their online interactions and maintaining a healthy balance between their digital and real-life experiences.
Exploring and Researching “Guizhou Village Super League”
Authors: Wu Yanming
Published: October 2024

The fame of “Guizhou Village Super League” in 2023 is a phenomenal event in Chinese history. “Guizhou Village Super League” is not only a competition, but also a cultural exchange opportunity that integrates Chinese rural culture and world football culture. This article takes “Guizhou Village Super League” as the research object and uses the method of literature review to objectively study the development and impact of Guizhou village supermarkets. Research has found that the main reason for the explosive popularity of “Guizhou Village Super League” is the widespread dissemination of short video platforms. The fresh element of countryside plus football has aroused the public’s curiosity and aroused widespread concern on the Internet. The support of the local government has also expanded the influence of “Guizhou Village Super League”. Finally, the persistent efforts of the local people and their love for sports are also essential. The fame of”Guizhou Village Super League” proves the feasibility of combining Chinese rural culture with modern popular culture. In the current era of Internet media, it seems to be a very effective way to improve the poverty situation in China’s rural areas and promote China’s local culture by taking the integration of Chinese traditional culture and world popular culture as the media for China’s rural areas to go global.
The Impact of the Israeli–Palestinian Conflict on Food and Economy in Gaza
Authors: Lu Zuda
Published: October 2024

The continuous Israeli-Palestinian conflict has had a destructive impact on Gaza, resulting in a serious food crisis and economic collapse. The military operations and the following blockade resulted in more than 30000 Gazans being killed and over 1.1 million Gazans faced catastrophic hunger, which had a huge impact on the economy. As the fundamental sector of Gaza’s economy, the agricultural department was attacked by Israel’s military operations and impacted by the destruction of agricultural infrastructures including greenhouses, and irrigation facilities. The current situation led to a striking decrease in local food production and supply and also resulted in a complete social and economic collapse. This paper discusses the consequences of the Israel-Palestinian conflict. The paper emphasizes that in order to solve the serious humanitarian crisis requires international aid and diplomatic efforts, ensuring the agricultural department can operate normally and reopening the supply routes at the same time to alleviate the humanitarian crisis in Gaza.
The Shift Toward Imperialist Mentality and America’s China Policy:A Study Centered on The Open Door Policy
Authors: Zhu Zhekai , Zuo Ang , Wang Zhaorui
Published: October 2024

In the late 19th and early 20th centuries, American foreign policy underwent a major shift toward expansionism and imperialism. This transformation was not only a natural result of the increase in American power, but also largely influenced by the mentality of national identity, American exceptionalism, cultural superiority, etc. The American images of China, influenced by this shift, had also undergone significant changes. China in the 19th century was seen as a byword for barbarism, but in the early 20th century, Americans began to talk about China’s awakening. A variety of changes in mentality and expansionist policies had turned the national imagination of Americans to imperialism, which was the driving force behind the change in China’s image. The change in China’s image had in turn affected U.S. policy toward China. However, on the other hand, the tradition of Orientalism had led American to regard China as a passive and static entity. China as a nation and Chinese laborers led the United States to view China as a “double other” rather than a free subject of thought or action. This ideology promoted the formation of the consensus of Open Door Policy and Chinese Exclusion.
Role of Economic Rights in the Vienna Declaration and Programme of Action: What is missing in the discussion
Authors: Wahdan Mohammad
Published: October 2024

This paper examines the Vienna Declaration and Programme of Action (VDPA), adopted in 1993, as a pivotal document in the post-Cold War era that aimed to consolidate and reaffirm universal human rights principles. While the VDPA successfully highlighted the rights of marginalized groups such as women, children, indigenous people, and those with disabilities, it notably falls short in addressing economic rights. The paper argues that the VDPA’s lack of clear guidance on economic rights is a significant omission, especially given the economic upheavals of the 1990s, including high unemployment and the transition to market economies. Through an analysis of primary and secondary sources, the paper reveals that the VDPA’s failure to include detailed provisions for economic rights leaves a critical gap in the protection of individuals’ right to economic participation and well-being. The conclusion calls for a reorganization of human rights frameworks to include economic rights as essential for the realization of human dignity and equality.
The Promotion and Obstacles of the Double Reduction Policy for Educational Equity
Authors: Yan Xin
Published: October 2024

China’s Double Reduction policy advances educational equity by reducing student workload and regulating extracurricular tutoring. The policy’s original intent is laudable, and some progress has been made in balancing educational resources and reducing the financial burden on families. Furthermore, this policy seeks to achieve a better study-life balance by reducing the academic burden so that students will have more time to develop their all-around qualities. However, its implementation has faced several challenges, including inconsistent policy implementation, regional disparities in education resources, chronic parental anxiety about education, and social pressure. These issues undermine the effectiveness of the policy. In this context, this essay comprehensively analyses the present state of the Double Reduction policy, identifies the primary challenges, and proposes corresponding recommendations for improvement. These recommendations include establishing a sound long-term evaluation mechanism, increasing investment in rural education, guiding parents to manage educational expectations, and strengthening the vocational training system. Continuously optimizing and improving the implementation of the policy, will ultimately promote balanced education in China and help students grow more holistically.
Application of Convolutional Neural Networks in Thyroid Cancer Diagnosis and Analysis
Authors: Peng Yucheng
Published: October 2024

Due to the difficult and expensive diagnosis of thyroid cancer, this paper would like to discuss the possibility of using Convolutional Neural Network (CNN) model to assist doctors to classify and recognize medical images. Consequently, this article focuses on the three types of CNNs: Xception, VGG, and Inception. For the traditional models like VGG and basic Inception, they are trained for the basic image classification and recognition. Although they are only basic model in CNNs, they can also achieve a great success rate. For example, VGG-19 could deal with the four main types of thyroid cancer and the accuracy of the classification both over 98%. For the advanced model like Xception and InceptionResNet-v2, they are combined with various kinds of basic model and improved the parameters and structures. They are extensions and innovations based on the traditional models which also attained a successful result. For example, Xception could classify two kinds of medical images, the accuracy of ultrasound images is 0.98 and the accuracy of CT images is 0.96. According to analysis of the result, it is obviously found that the accuracy of each model could achieve a high rate. It proves that CNNs plays a significant role in diagnosis of the thyroid cancer. However, there are also some challenges and difficulties that need to be improved, including the selection of datasets and more comprehensive system coverage.
Affective Filter Hypothesis and Second Language acquisition: A study on anxiety levels in the dictation part of TEM-4
Authors: Jiang Yuxuan , Wu Yueyue , Liang Yi
Published: October 2024

The Affective Filter Hypothesis is a cornerstone of second language acquisition (SLA) theory. This hypothesis explores the influence of emotional factors on language learning, particularly the role of emotional states such as anxiety, motivation, and self-confidence in the process of language input. This work investigates the applicability of the Affective Filter Hypothesis in the context of the Dictation section of the Test for English Majors, Band 4 (TEM-4). To explore the impact of emotional factors, especially anxiety levels, on performance in the Dictation section of the TEM-4, a mixed-methods approach was employed in this paper. Participants underwent an anxiety level test and a simulated dictation test to establish baseline data. The results indicated that the overall performance trend of the low-anxiety group was higher than that of the high-anxiety group. This outcome suggests that learners with low anxiety level performed better in TEM-4 dictation than learners with high anxiety level.
Searching for Dark Matter Based on Gravitational Lensing
Authors: Jiang Ruolan
Published: October 2024

Gravitational lensing is a powerful astronomical tool in which scholars can accurately predict the distribution of dark matter in massive objects by observing the bending effects of light in the gravitational fields of huge objects (e.g., galaxies or galaxy clusters). Since dark matter does not emit directly, or is strongly interacts with ordinary matter, gravitational lensing gives us a unique view of observing and measuring dark matter. This study introduces some principles of gravitational lensing effect to provide favorable evidence in the study of dark matter and other celestial bodies (including an engineering study in the focal region of solar gravitational lensing (SGL) and other experiments). This research will see how the properties of the clear and focused gravitational lens are applied to celestial observations, and how they are captured by the detector. Strong gravitational lensing can better show distant galaxies (including high redshift) around the dark matter distribution, and through the several basic quantities in gravitational lens analytical and numerical calculation and analysis, to simulate the center of the supermassive black hole, and gravitational lensing image and model of dark matter mass can be detected and dark matter has the key evidences of the interaction. It reveals the intrinsic and distribution of dark matter, thus driving the understanding of the universe’s evolution and its fundamental components. Therefore, gravitational lensing has an irreplaceable value and a far-reaching influence in exploring the unsolved mystery of dark matter.
Research progress on coral reef growth factors and their ecosystem restoration
Authors: Wu Pinghung
Published: October 2024

Healthy coral reef ecosystems have various functions such as reef-building, reef protection, reef stabilization, wave protection, shore protection, and the prevention of land erosion. Additionally, coral reef ecosystems are characterized by high biodiversity, often dubbed the “rainforest” of the ocean, as one of the most crucial ecosystems on Earth. In recent decades, global coral reefs have been significantly affected or damaged to varying degrees by climate change and human activities, posing threats to marine ecology and reef safety. This paper outlines the factors influencing coral reef growth, including global warming, ocean acidification, eutrophication, suspended solids, and tourism activities. It also discusses the status of coral reefs and viable restoration methods. Finally, this paper proposes an updated strategy for coral reef conservation, offering fresh insights into coral reef restoration efforts.
Why did Southern Christians maintain their pro-slavery stance before and during the Civil War
Authors: Liu Fengkai
Published: October 2024

The paper explores the reasons behind Southern Christians’ staunch pro-slavery stance before and during the American Civil War, focusing on the religious perspective rather than the more commonly studied economic aspects. The paper examines how Southern Baptists, in particular, justified slavery as a part of their religious beliefs and identity, viewing it as a divinely sanctioned institution integral to their way of life. The paper highlights the role of the Southern Baptist Church (SBC) and its significant influence on the pro-slavery ideology, emphasizing the theological arguments made by Southern pastors and theologians. These religious leaders believed that slavery was morally and religiously justified and that the North’s attempts to abolish it were an infringement on their religious freedom. The study utilizes both primary and secondary sources, including speeches and letters from Southern Baptist leaders, to illustrate how deeply entrenched these beliefs were in Southern Christian thought, ultimately arguing that this religious justification was a central factor in the South’s resistance to abolition.
YouTube: A platform that will remain top in the next decade.
Authors: Xu Entong
Published: October 2024

This paper explores why the YouTube video platform can maintain its advantages over the next ten years. Through a multi-dimensional analysis of YouTube and based on publicly available data, it is found that: 1) YouTube has reliable security; 2) YouTube has stability; 3) YouTube has advanced Promotion Strategies; 4) YouTube has an optimistic market size and development prospects. The research results show that YouTube has the characteristics of stable development in many aspects and can maintain its existing advantages in the future.
Analysis the Principle and Realization for Cosmic Dust Simulation
Authors: Zou Jiaming
Published: October 2024

Astrophysics simulations are becoming crucial to the understanding of how the universe came to be the way it is today. Cosmic dusts are quite important in these astrophysics’ simulations, although they have only recently been introduced to the simulations. This study offers analysis on the different parts of current cosmic dust simulations. Astrophysics simulations and cosmic dusts’ role in this simulation was first discussed. Simulation requirements on cosmic dusts were then evaluated, both in the software and the hardware. The realization of cosmic dusts simulations was then discussed, focusing on the creation, growth, and destruction of cosmic dusts and briefly discussing the algorithmic process of incorporating calculations and presenting data. At last, limitations on current cosmic dusts simulations and some future prospects were proposed. These results provide an organization of the different prospects of current progresses in cosmic dust simulations, which could be beneficial as an overview of the topic and a base for which directions for future researches could be suggested.
Can Negative Emotions on Social Media Predict Corporate Financial Risks: Perspective from Baidu Tieba
Authors: Ma Jingyang
Published: October 2024

The intrinsic relationship between social media and corporate development has emerged as one of the key research topics today. Most current studies focus on the positive impacts and opportunities that social media can bring to enterprises. However, there remains a lack of a unified explanation for the influence of negative news on social media on businesses. Consequently, the research theme of this paper is to explore whether negative sentiments on social media can predict corporate financial risks. Firstly, this paper collects data related to bearish posts on social media and financial risks of enterprises. Subsequently, regression analysis is conducted on the data using SPSS. The results reveal that, under the condition of controlling the asset-liability ratio, negative posts on social media do have an impact on corporate financial risks, with a greater number of negative posts correlating to a higher level of financial risk for the enterprise. This paper fills a gap in understanding the negative implications of social media on certain aspects of businesses and provides data support for researching the influence of negative sentiments on social media on corporate financial risks.
The Application of Virtual Reality and Augmented Reality Technology in Digital Marketing
Authors: Peng Zishan
Published: October 2024

This study investigates the utilization of Virtual Reality (VR) and Augmented Reality (AR) technologies in digital marketing, particularly their impacts on user engagement, brand awareness, conversion rates, and customer experience. With the progression of digital marketing, VR and AR have emerged as significant tools that create immersive and interactive experiences, aiding brands in distinguishing themselves within a competitive market. By analyzing applications such as virtual product demonstrations, interactive advertising campaigns, virtual showrooms, and AR shopping applications, this research underscores the substantial advantages these technologies confer. The findings reveal that VR and AR not only improve user engagement, brand visibility, but also boost customer satisfaction and drive sales. Despite obstacles such as high development costs and technical challenges, the outlook for VR and AR in digital marketing remains promising. This study provides strategic insights for businesses on effectively incorporating these technologies into their marketing frameworks to ensure long-term success and competitive advantage.
Educational Objectives and Student Management Methods in International High Schools in China
Authors: Lyu Daiheng
Published: October 2024

Much attention has been given to the challenges and complexities of international education in China. However, there are a lot of areas that have not been fully explored, especially regarding achieving the right blend of globalization and traditional education. This paper examines the development of international high school education in China the changes in educational models, the unique features of international curricula, and the effects of recent policy changes. In the study, it is also found that seemingly beneficial attempts at global citizenship and critical thinking provided by international education introduce a high level of stress originating from conflicting academic requirements and inflexible educational frameworks. Considering the results obtained, the following recommendations have been formulated to improve the situation regarding the development of international education in China. These include balancing intrinsic and extrinsic motivation for the students, strengthening their mental health and academic support services, reducing workload for students, and ensuring more time for students. If these challenges are addressed, China can equip students to fit the world that is shifting towards globalization.
The Mean Value Theorem and It’s Application
Authors: You Yaxuan
Published: October 2024

The Mean Value Theorem (MVT) is the central theorem of differential Calculus. It’s the major tool to research on function, also bridging the gap between function and derivative. There are lot of researchers focus on it from ancient times until now. This article introduces details about two mean theorems include the Rolle’s Theorem and Lagrange Theorem. This paper uses the sample question and refutation to explain the conditions of the theorems, thus addressing the questions that many students will ask when learning definitions of these theorems. The article later examines the application of the MVT. The proof of the unique existence of roots and the inequality is included. The Mean Value Theorem reveals the link between the macroscopic, overall properties for a function on an interval and the microscopic, localized properties of the function at a point. The significance of the application for the mean value theorem is profound, not only promoting the development of mathematical analysis theory, but also playing an important role in multiple fields
Language and Gender: Insights from Japanese Feminists in the 1980s
Authors: Wang Zhimei
Published: October 2024

This essay examines how language contributed to the feminist movement’s decline in Japan in the 1980s, a period that witnessed major legal reforms and socioeconomic shifts. While earlier studies have linked the sluggish progress of feminism in Japan to legal deficiencies and the shortcomings of capitalist regime, this paper clarifies that few achievement in feminist campaign during this period can be mostly ascribed to the linguistic distinctions between men and women. By analyzing the works of prominent feminists Aoki Yayoi and Ide Sachiko, the essay illustrates how gendered linguistic conventions perpetuated the marginalization of women and brought the destruction of feminist progress in the 1980s. The research underscores the importance of recognizing language’s role as an obstacle in the development of feminism and proposes that changing linguistic conventions could support feminist movements in Japan and elsewhere.
Numerical simulations on aerodynamic drag reduction of a 25° Ahmed body by jet flow
Authors: Weng Dingkai
Published: October 2024

In this work, for the aerodynamic characteristics of a 25° Ahmed body, I reduce its aerodynamic drag by adding airflow nozzles at the rear of its model and carrying out computational fluid dynamics simulations and analyses under the flow velocity of the jet port of 10, 20, and 30 m/s respectively, and meanwhile set up the airflow outlets at different locations of the model slope for simulation analyses under the flow velocity of the jet port of 20 m/s. The best up to 16.4% drag reduction rate is achieved in the simulations. The results show that the best drag reduction effect is achieved when the velocity of the jet outlet is 10 m/s. In contrast, the increase in the velocity of the jet outlet will lead to the early separation of the boundary layer, which in turn enhances its aerodynamic drag. As for different airflow outlets, while injecting airflow into the low-pressure region on the slope surface due to the boundary layer separation, moderately moving the jet port downward to enhance the pressure on the front and back of the model can achieve a better drag reduction effect.
A kind of protein affect the expression of bnk
Authors: Xu Qing
Published: October 2024

The maternal gene products control the initial stages of embryo development in all animals. The role of controlling embryogenesis is taken up by the zygotic genome at some point after fertilization. This paper seeks to shed light on research on the effect of the zinc-finger protein Zelda on the expression of bnk in fruit flies. The zinc-finger protein Zelda (Zld) is a transcriptional activator of the early zygotic genome and plays an important role in early embryonic development. (Liang,2008) This paper mainly demonstrates the influence of Zld on the bnk, which encodes a kind of protein that controls the actinic organization and the time of cellular basal closure. In the absence of Zelda, the expression of bnk has subtle changes. This work highlights the importance of the zinc-finger protein Zelda in the expression of the bnk in fruit flies and also details the methodology followed in the research on the bnk expression in fruit flies, the results, and the conclusions drawn from the research work, showing the importance of Zld to bnk, especially in early embryonic development stages. The significance of this research is to open potential avenues for research on identifying genes whose expression has been influenced to some extent by Zelda. Also, understanding the effect of Zelda on bnk expression can aid in the manipulation of the two variables to establish a functional interaction.
Research on Measures to Improve Students’ Learning Effectiveness by Improving the Classroom Teaching Model
Authors: Chen Guleyan
Published: October 2024

The importance of an effective classroom teaching model in enhancing students’ learning does not need to be overemphasized. With the development of society and the evolution of educational needs, the demand for innovative teaching strategies to meet different learning needs is also constantly developing. This article discusses various classroom teaching models, including traditional, flipped classroom, and project-based learning, and studies their advantages and disadvantages. By summarizing past literature, the study identifies the gaps in the current teaching model and puts forward strategies to solve these shortcomings. The research results show that although there is no single model that is universally valid, a hybrid method combining different models may improve learning outcomes. The government needs to formulate policies to emphasize the importance of teaching, schools need to provide a platform for teachers’ communication and students’ practice, and teachers also need to use scientific and technological tools to attract students’ attention in the classroom.
Celeste Ng in Conversation with Maxine Hong Kingston: Intergenerational Trauma and the Asian American Experience in Everything I Never Told You.
Authors: Liu Junhe
Published: October 2024

This paper delves into the representation of intergenerational trauma within Asian American literature, focusing on Celeste Ng’s Everything I Never Told You, Maxine Hong Kingston’s The Woman Warrior, and the critiques by Viet Thanh Nguyen. Ng’s work is analyzed for its nuanced portrayal of trauma as an intrinsic part of the Asian American experience, distinguishing it from earlier works that, as Nguyen argues, tend to conform to the “model minority” stereotype. The paper examines Ng’s sensitive unpacking of trauma, particularly its non-punctual, systemic nature, and its intergenerational transmission, especially in parent-child relationships. Additionally, it contrasts Ng’s approach with Kingston’s, exploring how trauma in The Woman Warrior is masked by cultural reinterpretation and the desire to please dominant Western narratives. By employing the theories of Cathy Caruth, Naomi Mandel, and Greg Forter, the essay argues that Ng repositions trauma as a core theme in Asian American literature, filling a significant gap left by previous works and redefining the narrative of Asian American identity and heritage.
A review of the progress of metal-organic frameworks in perovskite solar cells
Authors: Yang Zihang
Published: October 2024

Organic-inorganic hybrid perovskite solar cells (PSCs) have emerged as substantial challenges for future generations of photovoltaic apparatus, largely attributed to their power conversion efficiency (PCE) drastically elevated from below 10% to a staggering 25.7% over the past decade. Owing to characteristics distinct to them like substantial specific surface areas, copious binding locations, adjustable nanostructures, and mutual reinforcement, metal-organic frameworks (MOFs) are commonly utilized as either supplementary components or operational layers for augmenting both the efficiency and durability of PSCs. This paper primarily underlines the recent advancements in implementing MOFs across various operational strata of a PSC. The focal points of this study encompass an examination of the photovoltaic yields, the repercussions, and the advantages of fusing MOF materials into constituents like perovskite absorbers, electron transport, and hole transport layers, in addition to interface layers. The study also extends to an exploration of how MOFs effectively inhibit leakages of Pb2+ within halide perovskites and their associated apparatus. This paper concludes by discerning and shedding light on potential research prospects for the deployment of MOFs in PSCs.
Modern Silk Road— Historical Factors Influencing Present Opinions on BRI
Authors: Chen Runyu
Published: October 2024

This essay provides a comprehensive analysis of the historical reason behind the cautious attitude of the former Silk Road regions toward the Belt and Road Initiative (BRI). It starts with a detailed summary of the existing modern literature on the current respective views of the BRI from developing regions along the ancient Silk Road— Central Asia, Southeast Asia, and India. It then proceeds to search ancient texts for historical factors influencing the present. Connections between investigations of historical factors and studies of the literature on current opinions are drawn during the analyses. This research eventually shows that historical factors played a role in shaping countries’ cautious attitude toward the BRI. The results offer valuable insights from a historical perspective into many countries within vastly different regions and their people encompassed by the Belt and Road (B&R), thus shedding light on future policy- making related to the BRI and fostering mutually beneficial bilateral and multilateral cooperations between developing countries.
Ethics and Personality Deformation in Time and Space: A Semiotic Analysis of Edgar Allan Poe’s The Black Cat
Authors: Cheng Weiye , Deng Zijian , Shen Gefan
Published: October 2024

Romantic literature rose in the 19th century, and the Gothic novel evolved into one of the special genres. Allan Poe carries out the idea of unity of effect. He uses internal and external perspective conversion in The Black Cat, reflecting the continuity of self-consciousness in different times and spaces. It realizes the interpretation of macroscopic ethics and morality connotation. The study focuses on the linguistic symbolic context. It discusses the changing process of the deformed personality of the black cat from the space-time construction implied in the narrative layer. This discussion has research significance in analyzing the signifier meaning of each language symbol and the relationship network of the ideographic system. The construction of time and space, which is full of philosophical thinking, is introduced into the interpretation of the text. At the same time, it further deepens the understanding of Ellen Poe’s moral aesthetic angle. The literature review method and text analysis method are used in this study. From the perspective of the new combination of philosophy and philology theory, it goes further into the inner world of the characters. With the outburst of the negative suggestion power of the protagonist, the deformity of the character also reaches the climax of the intensity. From an interdisciplinary perspective, literary criticism offers a new way to the Alienation of capitalist society through the involuntary flow of consciousness and the conversion of narrative layers.
A Study on the Causes and Effects of the Current State of Extracurricular Tutoring in the Context of the “Double Reduction” Policy--A Qualitative Research Based on Parents of Public Elementary School Students in Shanghai, China
Authors: Gu Yahan
Published: October 2024

Based on the Ecological System Theory, this study uses semi-structured interviews to present the current situation of extracurricular tutoring that still exists in the context of the “Double Reduction” Policy and analyzes the reasons for it at the micro, meso and macro levels. The results of the interviews show that there are three types of tutoring for children under the “Double Reduction” Policy: maintaining pre-existing extracurricular tutoring arrangements, starting tutoring after the policy, and abstaining from tutoring throughout. In addition, most of the parents had a negative view of the “Double Reduction” Policy, while a few had a positive or neutral attitude. Based on the interviews, the study found that: Parents’ education philosophy, the school’s teaching mode, the “peer effect” of extracurricular tutoring, the educational streaming and examination systems, the anxieties surrounding social mobility among the middle class, and deeply entrenched Chinese traditional beliefs played a major role in the persistence of extracurricular tutoring. Subsequently, this study examines the impact of extracurricular tutoring from a social stratification lens, pointing out its potential to exacerbate the educational gap between different classes and families. Consequently, the study concludes with recommendations for policy enhancements aimed at fostering a more equitable educational ecosystem.
Analysis of the Application of Artificial Intelligence in Mahjong
Authors: Liu Weikai
Published: October 2024

Over the past few years, AI-based models for Mahjong have received a substantial amount of contribution due to the advancements in machine learning and game theory. In this review, these state-of-the-art AI models are considered, including Tjong, Kanachan, Suphx, and Zhejiang University’s developed model. The deployed approaches are disparately represented by reinforcement learning, Monte Carlo tree search (MCTS), and deep neural networks, all of which aim at solving the issues that come with the game’s structure, such as incomplete and overburdening information. The Tjong model complements the power of the transformer architecture with hierarchical decision-making and in turn, brings strategic depth to the gameplay. Kanachan employs Q-learning and MCTS to optimize decision-making, while Suphx combines these methods with the novel ideas of Double Q-learning and Thompson Sampling to achieve higher performance than seen before. The integration of reinforcement learning and a new evaluation model imbues the model with the unique properties of both learning machines and human expertise, namely depth and intelligence. As a result of all these exploits, obstacles still exist, the most notable among them are the management of completely unknown information, handling long-distance games, and the strategic balance between offense and defense. In the future, determinants of probabilistic reasoning, the improvement of deep learning systems, and the prowess of reward shaping will result in AI improvement in Mahjong.
A critique of the ecological art research in China
Authors: Cheng Xiaoyu
Published: October 2024

Ecological art represents a novel artistic genre that melds the realms of creative expression with environmental conservation, reflecting the contemporary art world’s focus and allure towards the natural environment. Nowadays, scholarly inquiry into ecological art within China is predominantly categorized into four domains: educational practices in ecological art, aesthetics in ecological art, the innovation and utilization of ecological art forms, and interdisciplinary studies within ecological art. Within these areas, research in ecological art education accentuates the pedagogical approaches to artistic innovation and education.
The Breakthrough Path of Chemical Industry Practitioners under the Vision of “Carbon Neutrality”
Authors: Huang Ningning
Published: October 2024

Carbon neutrality is an unstoppable trend. In the context of increasingly stringent policy constraints, pushing regulatory rigidity to its limits, “chemists” face severe challenges in both survival and transformation. How to respond to these changes and achieve a breakthrough is the mission and responsibility of “chemists.” This article delves into the internal mechanisms of carbon neutrality, exploring the contributions and feasible paths for chemists within this vision. By enhancing management through park circularity and technological innovation through process intensification, chemists can achieve a victorious breakthrough under the carbon neutrality vision.
Ethical Reflections on the Application of Medical Robots in Healthcare
Authors: Chen Xingtong
Published: October 2024

With the development and utilization of medical robots, more and more members of the public have begun to pay attention to the risks of practicing medical robots and have expressed concerns about their application. In order to deeply study the ethical risks of medical robots applied in health care, this study chooses the literature research method to reflect on the moral and ethical issues involved in medical robots. The study found that current medical robots have many application scenarios, such as: surgery, rehabilitation care, assisted work and telemedicine. These application scenarios of medical robots may bring ethical risks such as attribution of medical responsibility, doctor-patient relationship, and data algorithms. Intensively, the study points out that inadequate laws, immature values, and technological deficiencies are the most significant factors leading to the aforementioned risks. Thus, adequate attention should be paid to the medical career, the intelligent technology of robots should be improved, and the relevant laws and regulations should be actively improved. This study realistically reflects the current situation and risks of medical robot application, and through in-depth reflection, provides inspiration for robots to better serve the medical cause.