bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the dynamic impacts of global climate change on ocean ecosystems
Authors: Wen Xiao
Published: December 2024

This essay will discover the application of two time series analysis methods, which will focus on the Auto-regressive Moving Average (ARMA) and Vector Auto-regression (VAR), and explore the impact of global climate change on marine ecosystems. The first ARMA model is combined with Auto-regressive (AR) and Moving Average (MA) components, which is able to capture the influence of historical data and previous forecast errors on current observation. Besides, VAR model can contribute to explore a series of variables, such as the temperature of see, and species amount. The results show that ARMA model effectively captures long-term impacts and short-term deviations. Meanwhile, this essay give recommendation for future research, and how to better capture the complicated climate change.
The Impact of Immunotherapy Drugs on the Human Nervous System
Authors: Shi Zihan , Xiang Jinwei
Published: December 2024

Immunotherapy is rapidly becoming one of the most promising directions in the modern approach to cancer treatment. CAR-T cell therapy, immune checkpoint inhibitors, monoclonal antibodies, and gene therapies have shown great potential in enhancing the quality of life of patients, through the activation of the body’s immune system against cancerous cells. In addition to cancer, immunotherapy is being tested in neurodegenerative and neuroinflammatory disorders such as multiple sclerosis and Alzheimer disease. However, these therapies entail certain risks especially with regard to the nervous system. There is increasing evidence that immunotherapies are associated with neurotoxic side effects such as neuroinflammation, encephalitis, cognitive decline and peripheral neuropathy which can greatly affect patient’s quality of life. This review focuses on the description of these immunotherapies’ mechanisms and clinical use as well as their impact on the CNS and PNS adverse effects. Measures that can help avoid these risks include precision medicine, better gene delivery vectors, and selective treatment approaches, which are very helpful in maximizing the safety and efficacy of immunotherapy. One of the critical issues of further development of these novel therapeutic interventions is the optimization of desired therapeutic outcomes and possible neurological adverse effects.
The multiple causes of El Nino and its broad impacts on the global climate, ecology and economy
Authors: Zeng Yiting
Published: December 2024

This paper focuses on the El Nino phenomenon and makes a comprehensive analysis of its sources and consequences. The dynamic processes of the ocean, such as the shift of the thermocline in the equatorial Pacific Ocean, abnormal movement of ocean currents, and abnormal changes in atmospheric circulation, are among the many causes of El Nino. El Nino can cause multiple anomalies at the same time, with wide-ranging impacts on climate, ecosystems and human society. Extreme weather events such as storms and heavy rains are becoming more frequent in the tropics, causing climate anomalies to become more pronounced. It causes habitat destruction for Marine species and changes in the composition of several biomes. In terms of the economy, the El Nino climate anomaly leads to fluctuations in food production, affecting stability, and the increase in energy use caused by abnormal temperatures puts further pressure on the economies of different countries. Therefore, the study and prediction of El Nino phenomena is essential to establish effective coping mechanisms and mitigate its adverse effects on the environment and human culture.
Flexible Electronic Skin Based on Graphene and Its Composites
Authors: Liu Haoyang
Published: December 2024

Flexible electronic skin, as an important part of bionic technology, has a wide range of applications in the fields of wearable devices, intelligent robots, and bionic prostheses. Graphene, as a two-dimensional material with excellent electrical conductivity, mechanical flexibility and chemical stability, shows great potential in flexible electronic skin. This paper reviews recent advances in flexible electronic skin based on graphene and its composites, presenting the unique physicochemical properties of graphene and its advantages in flexible sensor materials. This paper discusses in detail the application of graphene and its composites in flexible sensors, including pressure sensors, humidity sensors, and flexible supercapacitors. This paper summarizes the challenges faced in current research, such as the cost and process complexity of material preparation, increased sensor integration, and issues of long-term stability. In addition, this paper proposes future directions, including the large-scale preparation of low-cost and high-performance graphene materials, the improvement of sensor sensitivity and durability, the optimization of graphene composites, and the realization of multifunctional and integrated flexible e-skin systems. Valuable references are provided to further promote the practical applications of graphene-based flexible electronic skin in the fields of medical monitoring, bionic technology and smart wearable.
Research Advances in Multiport DC Converter of Distributed Generation Systems
Authors: Zhang Hanwen
Published: December 2024

DC microgrids combine ports in various forms, such as power supply, energy storage, and load, and can operate in isolated islands and grid-connected ways in a variety of situations. Multiple converters in parallel on the DC bus will lead to system redundancy, complex control, and low efficiency. By integrating many different forms of ports, a multi-port DC converter has emerged. This paper first introduces the topology of multiport converters, summarizes the existing derivative products of multiport converters, and then briefly introduces their structures, and analyzes their functions and advantages and disadvantages. Because they provide electrical isolation between all ports, effectively preventing the risk of shock and fault propagation, isolated converters perform best in terms of safety, resistance to electromagnetic interference, and system reliability. Non-isolated converters have advantages in terms of cost and efficiency. Partially isolated converters offer a compromise that provides isolation for specific ports, improving security while controlling cost and complexity.
NBA Player Data Statistics and Predictions Based on Spark
Authors: Ye Yuchen
Published: December 2024

Entering the 21st century, the sports field has begun to rely on advanced data to establish fine-grained athlete evaluation metrics, such as the impact of an athlete’s presence on the team and performance in critical moments. These metrics are included in statistics and analysis. This experiment analyzes player datasets from NBA games, processing and statistically analyzing data indicators such as player rankings, changes brought by player age and career length, and changes in the proportion of three-point shots. The rating score proposed in this study is used as a measurement indicator to predict Luka Doncic’s performance since entering the league. The model’s performance is evaluated by calculating the root mean square error between the predicted and actual data. Analyzing and predicting player game data is crucial for evaluating player performance, formulating tactics, and management strategies. It not only helps management and coaching teams make more informed draft and trade decisions but also reveals similarities and differences among players through techniques such as cluster analysis, guiding personalized training and tactics.
Error Analysis of Cohesive Devices in Non-English Major College Students’ English Writing
Authors: Zheng Yan
Published: December 2024

The theory of cohesion plays a vital role in writing to realize coherent discourse and natural logic. Whether the writings can be appropriately used the cohesion devices is the key to improve the writing ability, especially in learning foreign languages. Whether the writings can be appropriately used the cohesion devices is the key to improve the writing ability, especially in learning foreign language. Based on the framework of Halliday and Hasan’s cohesion theory, this thesis aims at analyzing the use of cohesion in writing. Based on the framework of Halliday and Hasan’s cohesion theory, this thesis aims at analyzing the use of cohesion in English compositions of non-English major college students. subjects, the author chosen those non-English majors who have passed College English Text Band 4 in their freshman and sophomore years at Shandong University of Finance and Economics. Based on the methodology of combining qualitative and quantitative methods and bias analysis, the analysis mainly includes the frequency of cohesion use. Based on the methodology of combining qualitative and quantitative methods and bias analysis, the analysis mainly includes the frequency of cohesion use and cohesion errors, the degree of influence of negative mother tongue transfer.
Research on the Influencing Factors of Depression based on Logistic Regression
Authors: Li Xiangyi
Published: December 2024

The purpose of this study was to analyze the influencing factors of depression through logistic regression model, and to provide doctors with recommendations for the prevention and treatment of depression based on the analysis results. Depression is a global mental health problem that affects the lives of more than 300 million people, and its incidence continues to rise. The causes of depression are complex and involve the interplay of biological, psychological, social, and environmental factors. Studies have shown that many factors such as genetics, neuroendocrine, immune system, and social environment can influence the onset and progression of depression. To better prevent and treat depression, researchers have proposed a variety of methodological pathways, such as linear mixed-effects (LME) models, and interventions by improving physical health and promoting physical activity. In addition, understanding the symptoms and effects of depression and how to provide help is critical for public education and early intervention. By delving into the multifactorial nature of depression, this paper can better understand its causes and provide new ideas and approaches for prevention and treatment.
Comparative Study of Reed-Solomon and Liberation Codes in RAID6 Systems:Implementation, Evaluation and Performance Analysis
Authors: Guo Yuze
Published: December 2024

This paper presents a comprehensive analysis and implementation of various error correction coding methods, focusing on Reed-Solomon (RS) codes and Liberation codes in RAID6 systems. RS codes are emphasized for their robust error correction capabilities, making them ideal for high-reliability environments such as enterprise data centers and mission-critical systems, where the ability to correct multiple errors or data losses is crucial. In contrast, Liberation codes are noted for their superior encoding efficiency and lower computational complexity, making them well-suited for high-performance systems with stringent speed requirements. Through experimental comparisons, this study also evaluates Cauchy Reed-Solomon (CRS) codes, EVENODD codes, and Blaum-Roth (BR) codes, identifying the strengths and weaknesses of each method in various scenarios. The findings underscore the importance of selecting the appropriate coding technique based on system-specific requirements, as different use cases benefit from different error correction schemes in terms of performance and data reliability. Additionally, this research highlights the potential of these coding methods in broader distributed storage applications and discusses the trade-offs between them. Future research directions are suggested, particularly in optimizing existing codes and expanding their application in more complex and distributed storage environments.
The detrimental impact of microplastics on the Marine Environment and potential remediation strategies
Authors: Qu Lanxin
Published: December 2024

The current Marine environment is always polluted by microplastics, and this problem has been going on for a long time. Microplastics have seriously threatened marine life and marine ecosystems, interfering with their normal life and causing pollution in a great extent. In this paper, various hazards caused by microplastics to the ocean in the past are analyzed, and several typical treatment methods are listed and explained respectively. In this study, four methods are enumerated for treating the pollution, including coagulation method, photocatalysis method, biodegradation method and policy control. Different methods have different characteristics and advantages, but there are also some shortcomings that need to be improved and optimized in the future such as specific circumstances demand, limited governance, or high costs. Additionally, the study found that even though people have adopted many different ways to deal with microplastic pollution, the problem has not been completely solved. On top of the existing methods, more new, environmentally friendly, governance methods need to be developed. But the global pollution problem cannot be solved by a small number of people. This also means that in the future, the public needs to raise awareness of the problem and the monitoring of the Marine ecological environment.
A Study of the Impact of Cultural Policies on Arts Management
Authors: Yi Canqi
Published: December 2024

As globalization deepens, the role of cultural policy in arts management is becoming increasingly prominent. The aim of this paper is to explore how cultural policy affects arts management and what this means for arts development. Based on the current economic turn in cultural policy and the new demands on arts management practice, it focuses on the relationship between cultural policy and arts management, particularly how policy shapes arts management strategies and practices in a context where economic interests are the central focus. This study uses literature analysis and case studies to analyze how policy affects organizational structure, funding flows, and program implementation in arts management. The findings suggest that cultural policy not only provides financial support for arts programs, but also influences the freedom of artistic expression and the direction of the art market. The study concludes that cultural policy is an indispensable external factor in arts management and that it has a profound impact on all aspects of arts management by providing resources and setting the framework. Arts administrators need to have a deep understanding of cultural policy in order to better adapt to policy changes, effectively utilize policy resources, and promote the sustainable development of the arts.
Research and implementation of handwritten formula recognition system using feedback mechanism
Authors: Wu Yifan
Published: December 2024

Handwritten formula recognition systems have significant application value in education, scientific research, and smart note applications. However, due to the complexity and irregularity of handwritten formulas, improving the accuracy and efficiency of recognition has been a challenging research hotspot. This paper focuses on enhancing handwritten formula recognition methods and proposes a feedback system based on incremental learning, which improves recognition accuracy and enables user personalization. The article utilizes CNN convolutional neural networks for model training, and a regularization-based incremental learning system is used to enhance the model. The proposed algorithm is validated using the mathematical formula data provided by the Competition Organization for Recognition of Handwritten Mathematical Expressions (CROHME) and user experience feedback. Results show the feasibility of the proposed method.
Proof and Application of Law of Large Number and Central Limit Theorem
Authors: Zhang Yiqiang
Published: December 2024

The law of large number (LLN) and central limit theorem (CLT) have been important in probability, statistics, finance, and other fields for several centuries. They are also core theorems in probability. Through the work of Laplace, Chebyshev, Markov, Lyapunov, Bernoulli, and other famous mathematicians, the proof and forms of LLN and CLT have been greatly improved and expanded. They enable people to extract useful information from a large amount of data for statistical inference and prediction. Nevertheless, more scholars nowadays propose slightly improved proof for them, which may inspire people to use them better and understand their core ideas inside their elegant form. This study unravels certain proofs and applications of these two theorems to try to inspire scholars some further study of these theorems. This article uses a combination of proof of LLN and CLT and their application in different fields. Using different lemmas, such as Markov’s inequality and Chebyshev’s inequality, it discusses the process of different proofs of LLN and CLT. Based on many scholars’ research, it summarizes the application of LLN and CLT in many different fields. This article can provide learners a fundamental idea of LLN and CTL. These can help readers quickly catch the important points of LLN and CLT, which can help many different investigations in different fields, including Math, Physics, Economics, and various fields with data analysis.
Performance research and analysis of MOSFETs and TFETs
Authors: Li Lekun
Published: December 2024

As an important part of the chip, MOSFET plays a vital role in integrated circuits, but with the continuous reduction of chip size, the energy consumption problem that cannot be ignored has been paid attention to, and TFET came into being. Thanks to its special tunneling mechanism, it can operate at low voltages and has lower leakage currents. This paper illustrates the basic principles of MOSFET and TFET, and uses tables and elaboration methods to intuitively show that TFET has more advantages in terms of short channel effect, subthreshold swing and switching speed. However, in industrial manufacturing, MOSFETs have more mature and stable processes, which is often one of the main factors affecting yield. Therefore, it can be concluded that MOSFETs will continue to be one of the major periods in the recent industrialization process, and MOSFETs have a more mature process and more stable performance for device manufacturing. However, TFET has great potential in terms of energy consumption, so the research and process improvement of TFET will also be one of the main research tasks in the future.
Analysis of the Interconnectedness of Interest Rate Markets under the Background of Globalization: A Case Study of the Short-Term Treasury Bond Markets of China and the United States
Authors: Gao Ziming , Wang Yubo
Published: December 2024

In today’s globalized world, the interconnectedness of Cross-Border financial markets has grown significantly, with shifts in short-term interest rates exerting a notably substantial effect on the economies of many countries. As leading global economies, the volatility in the short-term interest rate markets of China and the U.S. impacts not just their own economic landscapes but also significantly influences the steadiness of the worldwide economic framework. While these studies lay a theoretical groundwork, a comprehensive analysis of the interconnectedness between China and the U.S. in the short-term interest rate markets remains elusive. Particularly, there is a dearth of thorough research into how the short-term Treasury bond markets of both countries interact under the umbrella of globalization. This study aims to concentrate on the interconnectedness within the short-term Treasury bond markets of China and the U.S., investigating how these markets interact under diverse economic climates. By conducting comparative analyses, the goal is to uncover the mechanisms of mutual influence between the two markets within the context of globalization. The objective is to offer a fresh perspective on the interconnectedness of the short-term Treasury bond markets of China and the U.S., thereby furnishing theoretical backing for future academic inquiry and the development of policy.
The Different Application of Definite Integral
Authors: Hu Eric Rodrick , Ni Zhenhao
Published: December 2024

This article mainly introduces the application of definite integrals. There are four parts in this article, and each part corresponds to an example. The first part is calculation of definite integrals area of plane images. In the first part, two methods are used in one stop to provide different solutions to definite integrals in different questions. The second part is using define integration to calculate the volume of regular-shaped solid. This part explains the general formula used in childhood. The third part is definite integral to calculate the volume of a rotation solid, which explains how to use definite integrals to calculate the volume under the condition of only one coordinate system. The fourth part is using defined integration to solve kinematics problems., which describes the use of definite integrals in other subjects. Calculus not only provides precise mathematical descriptions and solving methods for physics, but also promotes the development and progress of various fields of physics.
The Migration Analysis of Adversarial Examples with Convolutional Neural Networks
Authors: Xing Jin
Published: December 2024

Recently, with the attention of researchers on the adversarial attack technology, the robustness of neural networks has become an urgent problem. An adversarial attack is a way to mislead the deep-learning neural networks and make several changes to the sample, which lets the model provide the wrong output with a high confidence level. Using these methods to attack some specific deep learning models achieves remarkable results, but the robustness of different neural network models has not yet been clarified. This paper studies the migration of adversarial examples, aiming to conclude whether the adversarial examples from specific models are also practical when applied to other models. Through this process, the fragility of neural networks when operating with adversarial attacks is universal and can be analyzed. The primary dataset is from the cifar-10 dataset, including ten classes of natural item images with RGB channels. The deep learning models are LeNet, ResNet18, and VGG16, which use the fast gradient sign method (FGSM). The attacked models generate incorrect samples, utilized in the other two models to demonstrate effective test performance. The result indicates that the attack on a specific neural network model cannot disturb other models.
Urban Writing in Eileen Chang’s Novels
Authors: Zhang Yuxin
Published: December 2024

Most of Eileen Chang’s works are set in the metropolis, describing the daily trifles of urban groups and showing the daily life, life fate and human tragedy of ordinary urban people. On the one hand, her works show the heavy traffic and blooming flowers of metropolises such as Shanghai and Hong Kong; on the other hand, she depicts the numbness, indifference and anxiety of urban people behind the prosperity, exposing the urban diseases brought by the fast-paced and high-pressure life. Eileen Chang incorporated the daily life of urban people into the field of literature, and left the memory of urban life of an era through the detailed depiction of daily life. She improves, enriches and strengthens the expressive force of the novel, and forms a unique aesthetic style based on daily narrative. By analyzing the urban culture in Eileen Chang’s works, this paper explores the urban people’s outlook on life, love and marriage and values shown in Eileen Chang’s works, as well as the era changes and social transformation between the old and new reflected in the works. The pain and confusion caused by this transformation still exist, which is of great reference significance.
Marketing Case Study of McDonald’s Strategy for the Chinese Fast-food Industry
Authors: Wang Weiya
Published: December 2024

With the development of civilization, more and more people are busy with their work or kinds of stuff. Many of them choose to eat outside, especially for fast food. Under this condition, the fast food industry has become one of the most important parts of the catering industry. However, due to the change in social structure, competition in the fast food industry has increased, so many different fast food brands have to innovate new products or implement trendy market strategies to improve and survive. In this bunch of competition, although McDonald’s entered the Chinese fast food market lately, it become one of the biggest fast food brands in China within decades. Hence, this paper will take McDonald’s as the main object to investigate what kinds of market strategies McDonald’s used to help it prosper in China again. Meanwhile, through analyzing the market strategies used by McDonald’s and the situation faced by most of the Chinese fast food brands recently, this research aims to provide some profitable advice for those Chinese fast food brands. In the research conclusion, by utilizing a case study and document investigation, the paper discovers that although McDonald’s has some outstanding performance in the use of market strategy, due to the discrepancy between Chinese fast food and American-style fast food, Chinese fast food brands cannot just copy the strategy used by McDonald’s. Inversely, combined with their specific characteristics and problems, those Chinese fast food brands should increase their control on consistent product quality and delivery speed.
Offline Marketing Model of Intelligent Ecosystem: Research on Xiaomi
Authors: Liang Xinyi , Xiao Yubo
Published: December 2024

In the era of the Internet, establishing an intelligent ecosystem brings lots of convenience to people’s lives. Xiaomi is regarded as the top brand in the smart industry market, and the system model they designed had research implications for other brands in the same industry. At the same time, the emergence of the smart ecosystem has also allowed more brands of smart products to discover a larger new market. It also allows more families to experience the new lifestyles and habits brought about by technology. At the same time, this paper examines the marketing model of Xiaomi’s offline stores, analyzing its current brand marketing strategies, brand user loyalty, and the pros and cons of the offline store user experience. The paper also offers some suggestions for integrating Xiaomi’s offline stores with online marketing. The findings aim to provide insights for Xiaomi and similar brands on future development and attracting more potential customer groups.
The Role of Dark Matter in Galactic Dynamics: Insights from Rotation Curves
Authors: Yang Zifan
Published: December 2024

The paper starts by introducing the basic information and findings about dark matter, followed by underscoring of dark matter’s importance in galaxy formation, stability and evolution. The paper also reviews the relationship between galactic dynamics and dark matter and how this relationship, reflected on rotation curves, provide information about dark matter halos. Specifically, the author compares a galaxy’s observed rotation curves and the calculated rotation curve with only visible matter. It demonstrates how the observation of the flatness of the rotation curves at large radii challenges conventional Newtonian mechanics and reveals dark matter halos’ presence. At last, the paper evaluates the use of the findings for further understanding of the universe and the challenges that remained unsolved.
Song Huizong’s Dual Ruling Strategy of Confucianism and Taoism: An Interpretation of “Listening to the Guqin”
Authors: Ji Lufan
Published: December 2024

Since the establishment of the Northern Song Dynasty, the emperors consistently implemented a ruling policy that emphasized Taoism, with Taoist reverence reaching its zenith during the reign of Emperor Huizong. “Listening to the Guqin” is a typical representative painting from this period. Regardless of the actual author, this artwork reflects Huizong’s ideology and implicitly conveys his ruling intentions. This paper interprets the Taoist and Confucian imagery in the painting, supplemented by other contemporaneous works, placing the themes conveyed in “Listening to the Guqin” within the context of the Taoist movement and the political crisis during Huizong’s reign. It further considers how Huizong, in his capacity as ruler, leveraged Taoist reverence to consolidate his authority, while also using Confucian ideology – conveyed through paintings – as a medium for political indoctrination. By integrating artistic works with political strategy, this paper offers a new perspective on the political culture of Emperor Huizong’s era.
The Medicinal Value and Clinical Use of Isoliquiritin
Authors: Zhao Shicheng
Published: December 2024

Isoliquiritin has garnered increasing interest in recent years due to its promising therapeutic properties. It is kind a flavonoid compound derived from the roots and rhizomes of plants from a traditional Chinese medicine licorice. This plant belongs to Leguminosae Glycyrrhiza genus and were listed in the Pharmacopoeia of the People’s Republic of China. Traditionally, the dry root and the rhizomes of Glycyrrhiza uralensis Fisch., Glycyrrhiza inflata Bat., or Glycyrrhiza glabra L. has been used for the extraction of isoliquiritin. The active compound, isoliquiritin, is now emerging as a key player in modern clinical research, attributed to its diverse pharmacological activities and potential clinical applications. Recent studies have illuminated isoliquiritin’s multifaceted roles in modulating cellular processes and its potential benefits in treating a range of conditions. Its antioxidant and anti-inflammatory properties are particularly noteworthy, as they contribute to mitigating oxidative stress and inflammation—two underlying factors in many chronic diseases. Additionally, isoliquiritin’s effects on several signal pathways of cells have led to exploration in the context of relative disorders, including cancer and neurodegenerative diseases. The growing body of evidence supporting isoliquiritin’s efficacy prompts a reevaluation of its clinical potential and therapeutic viability. This paper aims to explore the current state of research on isoliquiritin, focusing on its pharmacokinetics, mechanisms of action, and clinical applications. By analyzing currently available data and assessing ongoing clinical trials, this review seeks to provide a comprehensive overview about the role of isoliquiritin in modern medicine and to identify the future directions about its research and application.
Variety Art IP Construction under the Perspective of Audience: Taking Singer 2024 as an Example
Authors: Dai Shenze , Liang Ruomei , Shang Yang
Published: December 2024

Variety shows, as a representative sub project of long video, have entered a bottleneck period because of the increasing improvement of short video platforms. How to survive and successfully transform in this situation is the problem they are facing. The recent explosion of Singer 2024 can give some sample cases. This paper makes a real and comprehensive questionnaire survey on the audience who has watched Singer 2024 and carries out data analysis and text analysis on various issues to obtain more standardized findings and results. The results show that the group watching the program can be determined to be under 35 years old, and due to the novelty of the new mode of live broadcasting and good interactive experience, the program has gained good attention compared with previous programs. In addition, the program team and people who love this program also spread on platforms such as Douyin, Kuaishou, “X” and Weibo, and reached a certain degree of heat. This successful case will play a representative role in future variety shows. The key to the success of the program is that the program planning team understands the lifestyle, psychological state, and the utilization rate of social media of modern young people. From this point of view, coupled with the high quality and influence of the IP of the program itself, it can become the focus of discussion in a short time.
Systematic Analysis of The Potential for Graphene Electronics
Authors: Deng Zimo , Wang Shuoxiang , Weng Shizhen
Published: December 2024

Graphene, a one-atom-thick carbon hexagonal layer has been earning increasing attention from scientist in almost every area by virtue of its extraordinary electronic and thermal properties under low energy circumstances. In this paper: the intrinsic electrical properties of high-purity graphene under experimental conditions are introduced and explained in details; Chemical vapor deposition method (CVD), one of the most advanced methods for the manufacturing of graphene of high quality, a method that uses carbon-containing gases as the precursors, which will decompose at high temperatures to release carbon elements, and metals that have appropriate catalytic activity such as copper, nickel, and platinum as substrates to enhance the adsorption and diffusion of carbon elements on the substrate surface is analysed in terms of both of its advantages and disadvantages the other challenges that the production of graphene is currently facing is given as well; The applications of graphene in superconductors and semiconductors, which are both one of the most characteristic use of graphene’s remarkable properties, are introduced in terms of their potential, recent breakthroughs, and estimated future. Estimations about the future development of graphene will be elaborated.
Green synthesis of two-dimensional copper nanomaterials using biomass for the reduction of carbon dioxide
Authors: Chen Siyan
Published: December 2024

The problem of greenhouse gas emissions has become increasingly severe, so energy conservation and emissions reduction have become a critical challenge for our society. In response to the challenge of lowering carbon dioxide (CO2) emissions and transforming them into valuable energy molecules, this work explores the eco-friendly preparation of two-dimensional (2D) nanocopper-based catalysts. In this study, biomass was utilized as both the reductant and the capping reagent to prepare these catalysts. The structure and morphology of the resulting products were analyzed using scanning electron microscopy (SEM) and high-resolution transmission electron microscopy (HRTEM). Their crystal structures were characterized by X-ray diffraction (XRD). The synthesis process of this type of nanomaterials was also studied. These copper-based catalysts were then evaluated for their efficiency in reducing CO2 into small energy molecules of HCOOH. A significant innovation of this study is using biomass as the reductant and capping agent, which guarantees the green synthesis process and exhibits great potential in converting CO2 into valuable energy molecules. This research is significant for creating new energy sources and protecting the environment.
Application of Linear Regression Models in Multidisciplinary Data Analysis: From Economics to Health
Authors: Xu Zihan
Published: December 2024

This paper introduces the application of regression analysis in multiple fields, with a focus on conducting linear regression analysis on five case studies. First, the study on the Consumer Price Index (CPI) and Retail Price Index (RPI) reveals a positive correlation between the two, indicating that fluctuations in retail prices significantly affect consumer prices. Second, an analysis was conducted on the impact of academic pressure on students’ mental health, finding that academic pressure significantly affects emotional and psychological states. Third, the paper compares the animation markets in Japan and China, showing differences in market development models and growth trends between the two countries. Next, the paper explores the relationship between socioeconomic status and family educational expectations, indicating that family income and parents’ education levels significantly influence educational expectations. Finally, the paper examines the relationship between age and sleep quality and duration, finding that both sleep quality and duration decrease as age increases. This paper uses linear regression models and related statistical methods, providing data support for further research in related fields.
Research Progress of Antimicrobial Nanomaterials and Polyurethane Coatings
Authors: Yu Xiaofan
Published: December 2024

With the outbreak of various influenza and viruses, there is a growing concern about the mode of transmission of bacteria and the means of sterilization. Since antimicrobial coatings can be applied to a variety of materials and equipment in the fields of medical devices, food packaging, waterproofing systems, etc., there are many existing research studies and designs on antimicrobial surfaces. However, there are still some unresolved issues in the practical application and production of the current research. The research of nanomaterials applied in the field of antimicrobials is a relatively new technology. This study is based on polyurethane coating composite nanomaterials as the topic, respectively. It summarizes the research on three aspects of nanometallic materials composite polyurethane coating, organic nanomaterials composite polyurethane antimicrobial coating, and quantum dots modified polyurethane nanocomposites, and proposes the relevant ideas for improvement.
Riesgos y consecuencias en las y los adolescentes ante el uso de algoritmos y el otorgamiento de datos en internet y la Inteligencia Artificial.
Authors: Pérez Viveros Marlen Yadari , Arango Morales Moncerrat
Published: December 2024

La presente investigación se enfoca en explorar la vulnerabilidad de las y los adolescentes en su privacidad de datos y en la toma de decisiones al usar la Inteligencia Artificial. Es un estudio cualitativo aplicado a jóvenes entre 16 y 17 años de edad, mediante tres sesiones de grupos de enfoque. Los resultados de la indagatoria indican las y los entrevistados tuvieron libre acceso a internet en la tableta, ordenador o teléfono durante la pubertad, sin la supervisión de los padres de familia, lo que originó que estuvieran expuestos a peligros como extorsiones, estafas o acoso sexual. Además, manifestaron uso problemático de juegos en línea y de redes sociales, pues suelen estar enganchados a su consumo. La alfabetización mediática está ausente en los padres de familia y en los jóvenes que participaron en la investigación, y existe desconocimiento de los riesgos que puede haber tanto en internet, como en la Inteligencia Artificial. El presente trabajo será entregado al área de pedagogía de educación básica en la Secretaría de Educación del Estado de Nuevo León, México, lo que permitirá llevar a cabo una segunda investigación para desarrollar talleres a padres e hijos sobre alfabetización mediática.
Ruoli di genere e sfide online
Authors: Azzarita Vittoria , Carbonari Maddalena , Grasso Marta , Miraglia Cosimo
Published: December 2024

This research investigates sports practices through the lens of gender on digital platforms. As they are involved in the construction of corporeality, sports tend to reproduce socially dominant values about what it means to be a woman or a man (Bifulco and Tuselli, 2017). Consequently, the notion that there are 'feminine sports' and 'masculine sports' is widespread (Channon, 2012, 2013; Channon and Jennings, 2014; Ferrero Camoletto and Topini, 2020; Matthews, 2011; Spencer, 2012). Specifically, this study focuses on sporting practices within the new phenomenon of social media challenges. These practices are strongly correlated with concepts such as competition and performance, where gender is also enacted. The aim is to explore to what extent these sports challenges reinforce predominant ideas about femininity and masculinity and in which cases they challenge them. Findings from a visual content analysis of 163 videos - shared on Facebook, Instagram, YouTube, and TikTok over the course of a year - show that these new challenges tend to perpetuate and promote traditional gender differences observed in sports practices, rather than contest them.
Bone Density Among Punjabi Population
Authors:   Madha Medical College and Research Institute, Chennai, Kovur Tamil Nadu, India, Srinivasan Padmasini
Published: December 2024

Bone density and the phenomens of bone loss with advanced age vary significantly across various populations. Collating data from various studies, including radiography of metacarpal bones, has revealed that Indians typically rank lower than other populations due to several factors, such as malnutrition, hormone related issues like hypothyroidism, genetic factors affecting bone growth and height, as well as malfunction in Vitamin D and calcium metabolism, along with diabetes. Thus, a study was conducted on the Punjabi population across all age groups, starting from the time of bone maturity. The findings clearly demonstrate poor acquisition of bone mass and pronounced bone loss in the elderly, with women exhibiting greater vulnerability compared to men in terms of poor bone strength and bone loss. This data holds significance for the development of public policies and healthcare initiatives aimed at addressing malnutrition, Vitamin D deficiency, and calcium issues from childhood to old age. Implementation of such measures could mitigate prevalent physical and mental health challenges in underdeveloped third-world countries like India. Despite facing similar challenges of poverty and malnutrition, the charts indicate that African populations exhibit higher bone density levels than Indian populations.
Unilateral Bicipital Plantaris Muscle: A Cadaveric Case Report
Authors:   Edward Via College of Osteopathic Medicine, Carolinas Campus, USA, Timms Maren , Bose Jeremy , Jaynes David
Published: December 2024

The plantaris muscle, a vestigial structure in humans, is a muscle of the posterior superficial compartment of the leg. This study addresses unilaterally bicipital (bifurcated) muscle bellies of the plantaris in a 58-year-old male cadaver. The plantaris functions proprioceptively to provide the central nervous system with information about the position of the gastrocnemius muscle and soleus muscle. However, the significance of this muscle in knee flexion and ankle plantar flexion is thought to be insignificant. The tendon of the plantaris muscle can be used for tendon grafts. Surgeons should be aware of this anatomical variant when considering feasible graft options, specifically for flexor tendons, and consider the potential for significant loss of proprioceptive input in the posterior compartment of the leg from its use as a graft. Clinically, it plays a role in the differential diagnosis of various pathologies of the posterior leg such as Achilles tendinopathy and tennis leg syndrome. A bicipital plantaris muscle belly can impact pathological manifestations and should be considered when palpating the popliteal fossa and Achilles tendon.
A Deepening Wound in Schools: Adolescents with Divorced Parents and Their Psychological Adjustment
Authors: Altın Merve , Kuyumcu Behire Elif
Published: December 2024

The purpose of this study is to examine the psychological adjustment of adolescents students aged 11-18 whose parents are divorced according to various variables. The study was conducted with 199 students whose parents are officially divorced and both parents are alive. Personality Assessment Scale (PAQ) Child Form and Personal Information Form were used as data collection tools in the study. In the analysis of the data: Independent t-test, one-way analysis of variance and correlation tests were used. The results showed that the psychological adjustment of middle school students decreases as the level of education of the mother and father and the number of siblings increase. According to the variables that occur after the divorce, it did not vary according to the frequency of seeing the parent who does not have custody and whether the mother and father married someone else after the divorce. The psychological adjustment of middle school students (except high school) increases as the time passed since the divorce. Among middle school students, the group with the healthiest adjustment is those living with their mothers; the highest psychological adjustment is in those living with their fathers. The positive thoughts of the mother and father about each other supports the psychological adjustment of middle school students (except high school). In middle school students (except high school), the more the father reflects his negative thoughts about his ex-wife to his child, the more unhealthy the adjustment develops. The results obtained were discussed within the framework of the literature.
Recaudación tributaria y desigualdad económica en Ecuador: un análisis a partir del Índice de Gini, período 2018-2023
Authors: Larrea-Cuadrado Pedro Lucas , Jiménez-Vargas Norma Patricia , Arias-González Iván Patricio
Published: December 2024

La relación entre la recaudación tributaria y la desigualdad económica posibilita la comprensión de cómo las políticas fiscales influyen en la equidad social en Ecuador. El objetivo central de este estudio fue analizar si existe una evaluación lineal significativa entre la recaudación de impuestos y el Índice de Gini en el período 2018-2023. Se aplicó un análisis de regresión lineal tras verificar la normalidad de los datos mediante la prueba de Shapiro-Wilk (p = 0,863 para recaudación y p = 0,297 para el Índice de Gini), lo cual permitió proceder con el análisis. Los resultados del modelo muestran un coeficiente de compensación. R=0,903 y un R2=0,815, indicando que el 81,5 % de la variabilidad en el Índice de Gini es explicado por la recaudación tributaria. Además, el coeficiente de regresión de la recaudación es de−9.15×10−9, con un valor t de -4,19 y p = 0,014, lo que sugiere una asociación inversa estadísticamente significativa entre ambas variables: el aumento en la recaudación tributaria está relacionado con una disminución en la desigualdad. En conclusión, los resultados apoyan la hipótesis de que mayores ingresos tributarios podrían contribuir a reducir la desigualdad económica en Ecuador, destacando la relevancia de una política fiscal eficiente como herramienta para promover la equidad.
Morosidad y riesgo crediticio en la banca privada ecuatoriana, caso Chimborazo
Authors: Puente Riofrío Mariana Isabel , Vásconez Samaniego Víctor Hugo , Paz Sánchez Jhoselyn Estefany , Cáceres Vargas Lisbeth Matilde
Published: December 2024

La morosidad y el riesgo crediticio representan desafíos críticos para la estabilidad del sistema bancario ecuatoriano, donde factores socioeconómicos afectan la capacidad de pago de los deudores. La presente investigación tuvo como objetivo analizar la evolución de morosidad y su efecto en el riesgo crediticio en la banca privada de la provincia de Chimborazo en el período 2019-2022; el enfoque investigativo cuantitativo permitió el análisis de datos de cartera vencida, índice de morosidad y calificación de riesgo crediticio. Al analizar el índice de morosidad se evidenció un promedio de 3.21 % en el período de estudio. Se aplicó el coeficiente de correlación de Pearson para evaluar la relación entre las variables de estudio, obteniéndose un valor de 0.767, lo que indica una correlación positiva fuerte y estadísticamente significativa entre el incremento de la morosidad y el aumento del riesgo crediticio. Estos hallazgos resaltan la importancia de implementar políticas efectivas de mitigación de riesgos, particularmente frente a eventos disruptivos como la pandemia de COVID-19.