bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Influencing Obesity Levels in Mexico, Peru, and Colombia
Authors: Yang Chen
Published: December 2024

The prevalence of obesity has reached alarming proportions on a global scale, exhibiting a marked upward trajectory in developed countries and developing countries. The objective of this research paper is to analyze the principal factors influencing obesity in individuals between the ages of 14 and 61 in Mexico, Peru, and Colombia, utilizing an obesity risk dataset. A variety of socioeconomic, behavioral, and genetic factors were considered, including variables such as age, caloric intake, physical activity, and family history of overweight. Exploratory data analysis (EDA) was conducted using visualization techniques to elucidate the interrelationships between these variables and obesity levels. Subsequently, a logistic regression model was constructed to estimate the probability of different obesity levels based on the predictor variables. The model was evaluated using accuracy, a confusion matrix, and a receiver operating characteristic (ROC) curve analysis. The results demonstrated that the model exhibited a robust capacity to differentiate between obesity levels but encountered notable challenges in distinguishing between adjacent categories (e.g., "Overweight Level I" and "Overweight Level II"). This study offers invaluable insights into the complex multifactorial nature of obesity and provides guidance for public health interventions in Latin American countries to address the escalating obesity epidemic.
A literature review on obstacle avoidance algorithms and attitude control of unmanned aerial vehicles
Authors: Shi Peijie
Published: December 2024

The application of UAV technology in various fields continues to expand, obstacle avoidance algorithm and attitude control have become the key technologies of UAV autonomous flight. Obstacle avoidance algorithm is mainly used to improve the autonomous obstacle avoidance ability of UAV in complex environment, sense the environment through sensors and carry out real-time path planning; Attitude control ensures the stability and accuracy of the UAV during flight. This paper reviews the research progress of obstacle avoidance algorithm and attitude control of UAV of domestic and overseas, analyzes the main research achievements and challenges, discusses the collaborative method of obstacle avoidance and attitude control, and points out the future research direction. By optimizing and innovating the obstacle avoidance algorithm and attitude control technology, the flight safety and intelligence level of UAV in complex environment can be effectively improved.
Capital Asset Pricing Model and its Application on Investment Risk
Authors: Jiang Haihua
Published: December 2024

This study explores the utilization of the Capital Asset Pricing Model (CAPM), serving as a key instrument in the realm of asset management, with the objective of maximizing financial gains while minimizing potential hazards. The introduction highlights the significance of CAPM in guiding investment decisions and portfolio management by providing a theoretical framework to assess the potential earnings of an investment in relation to the inherent risks associated with it. The body of the paper outlines the fundamental concepts of CAPM, including its underlying assumptions and the mathematical formulation that underpins the model. It also critically examines the limitations inherent in CAPM, such as its assumptions about market efficiency and investor rationality, that is not invariably applicable in practical situations. In this empirical section, the paper investigates the applicability of CAPM to the Chinese stock market, specifically the Shenzhen and Shanghai stock exchanges, using the Breusch-Pagan and Fama-MacBeth regression methods. The analysis seeks to determine whether CAPM's predictions align with the observed market behaviors and to what extent it can be relied upon for asset optimization in the Chinese context. This research's outcomes enrich the existing conversation about the real-world application of the Capital Asset Pricing Model within asset management, providing valuable perspectives for those aiming to enhance their investment strategies, particularly in the context of the distinctive features of China's equity markets.
Differentiation Mechanisms of Hematopoietic Stem Cells (HSCs)
Authors: Du Yifan
Published: December 2024

Hematopoietic stem cells (HSCs) are a type of stem cell that are mostly present in the bone marrow and oversee producing all types of blood cells, and play a crucial role in maintaining the body’s hematopoietic system. This paper provides an in-depth review of recent advances in hematopoietic stem cell research, focusing on differentiation mechanisms and key regulatory factors, with a focus on recent advances in understanding molecular pathways and the application of cutting-edge technologies such as CRISPR-Cas9 gene editing. The study identifies the significance of CD34 and CD38 as early differentiation markers, analyzing their roles throughout the differentiation process. Furthermore, the paper explores the impact of Notch signaling and transcription factors on cell fate decisions, uncovering crucial insights into HSC differentiation. Additionally, it reviews the research progress in the clinical applications of gene therapy, and provides a detailed explanation of the cell fate determination process, which involves transcription factors, signaling pathways, and epigenetic regulation. These findings provide a comprehensive reference for researchers and offer potential directions for clinical applications and stem cell therapies. The paper aims to synthesize complex data to enhance the practical application of novel technologies in HSC research.
The Potentials and Limitations of AI Emotion Simulation: Taking Emogpt's Psychological Counseling as An Example
Authors: Yang Gongqian
Published: December 2024

The continuous development of artificial intelligence emotion simulation has triggered in-depth thinking on the similarities and differences between machine emotions and human emotions. The physiological foundation of human emotions is absent from machine emotions, which are only dependent on algorithms and data. This is where the basic differences between the two exist. However, through calculation and programming, artificial intelligence can have a "emotionless" emotion and function as a "emotional machine." In response, a community of robots that provide psychological counseling—represented by EmoGPT—arose with the goal of resolving people's emotional issues and offering individualized care. While EmoGPT can offer crisis detection, sympathetic listening, professional coaching, life advise, and round-the-clock services during psychiatric counseling, it still lacks some of the experience, autonomy, and moral accountability of human emotions. . This study analyzed the potential and ethical and technological challenges of AI psychological counseling in simulating emotional responses through the application case of EmoGPT during the Shanghai epidemic.
Nutrient Composition Analysis and Research Progress of Nuts
Authors: Han Luxuan
Published: December 2024

With the attention of consumers for food safety, health and functional foods, the analysis of the nutrients in nuts and their therapeutic effects on chronic diseases have received extensive attention. However, the method of extracting its nutrients and the way in which its active efficacy is determined are not well understood. Based on the nutritional composition of nuts, this article focuses on analyzing the advantages and disadvantages of different extraction processes and the optimal process conditions and discusses the latest research progress and potential applications of nuts in the fields of antioxidant, anti-inflammatory, antibacterial, anti-cancer and CVDs. Despite the strong market demand and the fact that the biological activity of nuts has been included in patents, there are still problems such as high extraction costs, insufficient integration with other foods, and insufficient clinical data. Further research can improve the extraction method, explore the relationship between nut nutrition and functional mechanism in depth, and expand in vitro cell model and animal model research.
Research on Sensor Non-alignment Error Correction
Authors: Lu Zhiyu , Kun Wu , Long Simin
Published: December 2024

Magnetic sensors play a crucial role in various applications, such as heading measurement, position tracking, and geomagnetic exploration. However, in practical applications, factors like improper installation, sensor misalignment, and manufacturing errors can introduce misalignment errors in the sensor’s measurement data. These errors lead to systematic deviations between the measured values and the actual magnetic field values, affecting the sensor’s measurement accuracy. To enhance the accuracy of magnetic sensors, error correction is necessary. The least squares method, a commonly used statistical technique, can effectively address this error correction. This paper employs the least squares method to correct the misalignment errors in magnetic sensors.
Research on the Integration of Examination-Oriented Education and Quality Education
Authors: Xu Xinran
Published: December 2024

Nowadays, there are two main educational modes in society, which are quality education and exam-oriented education. Both of these educational models have certain limitations, so the problem of how to choose and progress educational models has been widely discussed by various countries. China faces the same problem. This paper analyzes the current situation and problems in China's education and puts forward suggestions that are more conducive to the implementation and execution of China's education policy. First of all, this paper makes an understanding of the two most mainstream education models in present society, namely, exam-oriented education which emphasizes the supremacy of academic knowledge but is single, and quality-oriented education which emphasizes the all-round development but lacks the hard academic knowledge intake. Through the two examples of Britain and North Korea, this paper concludes that either exam-oriented education or quality-oriented education will have great limitations. Obviously, in the face of the ever-changing and ever-changing international trends and trends, China should adjust its policies or carry out reforms promptly, and combine examination-oriented education with quality education, so that new students can acquire sufficient academic knowledge and improve their comprehensive ability.
Battery cycling capability based on different nanomaterials
Authors: Ru Yi
Published: December 2024

In nowadays society, as the increase requirement of energy power supply, lifetime cycling of battery have become more and more necessary to the whole world. Based on the operation theory of battery, the expansion of electrode cannot be prevented. Different strategies have been developed and used to address this drawback. Introducing nanomaterials into batteries has become a simple and effective method. To this end, this research will analyze the performance of different types of nanomaterials in battery cycling. Nanotube structure has played a huge role in providing empty space and restricting too much expansion of electrode. In addition, differences and common thing are going to be concluded and find out their disadvantages and advantages in this research. Based on the current disadvantages of all these solutions, future plan expectation has been shown out in this research as well. Furthermore, there are various variables like working temperature which affects cycling lifetime of battery which can also add in future observation plan.
The Role of m6A Methylation in Stem Cell Regulation
Authors: Duan Leyi
Published: December 2024

6-Methyladenosine (m6A) methylation is one of the most prevalent post-transcriptional RNA modifications playing a critical role in regulating stem cells. And this process is dynamically controlled by a group of proteins --- methyltransferases (writers), demethylases (erasers), and m6A binding proteins (readers) --- to drive various cellular processes, including RNA stability, splicing, and translation and so on. This review article mainly summarizes the specific roles that m6A modification has in different stem cells, such as the key functions of self-renewal, differentiation, and tissue reparation. It is also emphasized that in embryonic stem cells (ESCs), m6A is essential for balancing pluripotency and differentiation, and its dysregulation leads to impaired development. Similarly, in hematopoietic stem cells (HSCs), m6A regulates differentiation towards myeloid or lymphoid lineages. Abnormal m6A signaling has also been linked to diseases such as acute myeloid leukemia (AML), which affects leukemogenesis. And by the extensive impact of m6A modification on the regulation of stem cells, m6A is instead proposed as a prospective target for therapeutic intervention in regenerative techniques and cancer. The aims of further work is to elucidate the molecular mechanisms behind the role of m6A in stem cells, searching for potential clinical applications such as enhancing stem cell therapy and improving the efficiency of techniques such as somatic cell nuclear transplantation.
From Concept to Reality: Transforming Architectural Visions with 3D Printed Concrete
Authors: Li Chongzheng
Published: December 2024

As global societies face profound environmental and economic challenges, the construction sector is focusing on the integration of smart technologies and the conceptualization of resilient infrastructures. Currently, low-carbon 3D printing concrete technology stands as a key innovation in the field of concrete, promising to reduce carbon emissions and enhance labor productivity. This study aims to explore the feasibility of using low-carbon 3D printing concrete technology as a channel for promoting intelligent and sustainable development in civil engineering. This paper will introduce 3D printing concrete from the aspects of printing methods, production materials, and mechanical properties. Additionally, it will discuss the current and future applications of 3D printing concrete and explore its potential use in building a smart and resilient future.
Exploring The Impact Path of Artificial Intelligence Development on Income Distribution Equity
Authors: Liu Yiran
Published: December 2024

The rapid development of artificial intelligence has opened up an unprecedented window of opportunity, but at the same time, it has also triggered a series of complex and serious challenges. This technology is penetrating and reshaping every level of economic and social structure with unprecedented depth and breadth, profoundly changing people's production mode and life mode. This study focuses on the specific mechanisms of AI's impact on global income distribution equity and finds that it works through three core pathways: substitution and creation effects, skill bias, and capital bias. Ai is not only reshaping the employment landscape by replacing low-skilled labor jobs and creating new occupations, it is also further widening the income gap between high-skilled labor and low-skilled labor, as well as owners of labor capital, because of its inherent skill preferences and capital preferences. The interwoven effect of these mechanisms, while driving rapid economic growth, has also exacerbated income inequality within society.
Research Progress on Stem Cell Regulation of Macrophage Polarization in Promoting Spinal Cord Injury Recovery in Stem Cell Transplantation
Authors: Hong Weizhe , Xiang Yun , Yuan Haonan
Published: December 2024

With the advancement of spinal cord injury (SCI) research, stem cell therapy has garnered increasing attention. However, the field encompasses numerous research topics and branches, necessitating further organization and focus. This review aims to provide a coherent summary of the mechanisms and roles of stem cells in SCI treatment, addressing three key aspects: the role of macrophage polarization in SCI, the regulatory mechanisms by which stem cells, specifically mesenchymal stem cells (MSCs) and neural stem cells (NSCs), influence macrophage polarization, and the signaling pathways involved in stem cell-regulated macrophage polarization. Correct macrophage polarization is crucial for effective SCI treatment, with MSCs and NSCs contributing through chemical mediators, modulation of macrophage polarization, and interactions with signaling pathways. Ultimately, the review will explore how these signaling pathways enhance SCI treatment through diverse forms of signal transduction and regulation. In conclusion, this review will summarize current insights into stem cell therapy for SCI, integrating the three interconnected aspects discussed.
Progress in the Application of Nanotechnology in Lithium-ion Batteries
Authors: Lin Jiajian
Published: December 2024

With the rapid development of electric vehicles in recent years, researchers are looking for more efficient electrode materials for lithium batteries. With the iteration of positive and negative electrode materials for lithium batteries, ordinary electrode materials have been unable to meet the market demand for battery performance. The emergence of nanometer electrode materials began to solve this problem gradually. Therefore, many nanomaterials have emerged in recent years. This paper describes the working principle of lithium-ion batteries (LIBs) and the application of nanotechnology and nanomaterials in lithium battery electrodes. This paper is divided into two aspects: the application of nanotechnology to positive electrode materials and the application to negative electrode materials. In the application of cathode materials, this paper focuses on introducing lithium manganese phosphate and lithium iron silicate and their nano-sized morphology. It includes the disadvantages of original materials and the advantages of nano-sized materials. At the same time, it also introduces ways of preparing nano-sized materials, such as the solid phase method and gel method. In the negative electrode application of nanomaterials, this paper presents the iteration of two traditional inorganic, nonmetallic materials used in electrodes in batteries and the preparation methods of nanization by comparing graphite with carbon nanotubes and silicon with nano-silicon wires, such as the arc discharge method.
The impact of psychological states generated by watching live broadcasts on people's consumption behavior
Authors: Man Yi , Wang Siting
Published: December 2024

In today's society, the Internet is becoming more and more popular, and new media technology is also developing rapidly. Live streaming has become an important way of information dissemination and entertainment, which has an increasing impact on consumer behavior. This article provides an in-depth analysis of the various psychological activities that occur when people watch live streaming on the internet in their daily lives and explores how these psychological states affect consumers' decisions and consumption behavior. In the context of online live streaming, consumers not only obtain product information but also experience unique interactions and entertainment experiences. This experience stimulates consumers' various psychological states, including curiosity, crowd psychology, trust psychology, impulsive psychology, etc. These psychological states interact together to shape consumers' willingness to buy and behavior. In summary, the psychological state generated by watching live broadcasts has a significant impact on consumption behavior. Understanding these psychological states and their mechanism of action helps merchants better grasp consumer needs and formulate more effective marketing strategies. At the same time, consumers should also keep rational thinking and avoid blindly following the trend and impulsive consumption.
Research Overview of YOLO Series Object Detection Algorithms Based on Deep Learning
Authors: Chen Bo
Published: December 2024

In the rapid development of deep learning, YOLO, as the first popular single-stage object detection model, has sparked an innovative storm in the computer vision community with its remarkable architecture and innovative concepts, marking a significant leap forward in object detection technology. Today, it is not only regarded as a milestone in this field but also sets an unparalleled example in the pursuit of the perfect fusion of detection speed and accuracy. YOLO has been widely applied in various fields such as agriculture, industry, pedestrian detection, and more. This research project will first introduce traditional object detection methods, then analyze object detection based on deep learning, and subsequently elaborate on the fundamental concepts of YOLO. It will systematically sort through the YOLO family and its significant improvements. Finally, based on different improvement strategies or application scenarios, the YOLO algorithm will be systematically classified and summarized.
Application of scRNA-seq in Investigating Immune Cell Subtypes in PBMC
Authors: Li Leyao
Published: December 2024

Bulk RNA sequencing produces population-average data, but unable to group the cells into different cell types and thus loses the heterogeneity. Hence, we applied single-cell RNA sequencing to the Peripheral Blood Mononuclear Cells (PBMC) dataset to investigate the underlying distinct cell types in the PBMC sample. To extract important information and reduce the dimensionality we have to investigate when facing complicated datasets, we applied the principal component analysis (PCA). We included the first 10 PCs, applied UMAP non-linear dimensionality reduction and clustered 9 cell subtypes and corresponding marker genes. We searched for the biomarkers for each cell type and assigned cell identities to these 9 immune cell types according to prior knowledge. Our results demonstrated the power of scRNA-seq in distinguishing cell subtypes in a complicated mix of samples, providing insights into important biological questions.
Research Progress on the Application of Stem Cells in Hair Regeneration
Authors: Mu Xinyu
Published: December 2024

Hair follicle stem cells (HFSCs) exhibit significant potential in hair regeneration research due to their self-renewal and multi-directional differentiation abilities. Hair loss is a common dermatological issue, and current treatment methods have limited efficacy; however, the investigation of HFSCs offers new avenues for developing novel therapies. HFSCs are relatively easy to isolate and culture from hair follicles, making them ideal candidates for laboratory and clinical applications. In addition to their role in hair regeneration, HFSCs contribute to the regeneration of skin, bone, cardiovascular, and neural tissues. Nonetheless, challenges remain regarding the effective expansion of HFSCs, their survival rates, and functional recovery in vivo. Furthermore, further research is needed to elucidate the specific mechanisms by which HFSCs operate in various types of hair loss. Overall, stem cells hold significant promise in the field of hair regeneration, and with a deeper understanding of HFSC biology and advancements in related technologies, more effective hair loss treatment strategies are anticipated in the future.
Advances in HIV Research: Mechanisms, Transmission Routes, and Emerging Therapeutic Strategies
Authors: Zhao Yina
Published: December 2024

Recently significant progress has been made towards the goal of achieving a cure for AIDS, but there is still a long way to go. This essay comprehensively reviews the latest advancements in HIV/AIDS research, emphasizing the virus's mechanisms of action, transmission routes, and emerging therapeutic strategies. HIV, a retrovirus that targets CD4+ T cells, continues to pose a significant global health challenge. The essay provides an overview of the HIV life cycle, highlighting the roles of viral envelope proteins and single-cell sequencing technology in understanding its intricate mechanisms, and discusses the progression of HIV from initial infection to AIDS, highlighting the ability of the virus to integrate into the host genome and evade the immune system. In addition, the paper analyzes HIV transmission routes, mainly sexual contact, blood contact, and mother-to-child transmission, and explores emerging treatment strategies, including gene-editing technologies such as CRISPR-Cas9, immunotherapy and cell therapies such as broadly neutralizing antibodies (bNAbs), HSCT, and vaccine development. While a cure remains elusive, these advancements offer hope for the future eradication of HIV/AIDS as a global health threat.
Summary of Research on Electric Vehicle Charging Station Planning
Authors: Wang Teng
Published: December 2024

Electric vehicles (EV), as a low-carbon and environmentally friendly means of transportation, have rapid evolution in recent years. The insufficient and   uneven distribution of charging infrastructure has become a significant factor limiting the progress of electric vehicles. This paper reviews the current research results from two aspects of public and private transportation, focusing on the model construction of charging station location and the selection and optimization of solving algorithms. In the aspect of public transportation, the charging schedule of night station charging and BOT mode operation of fast charging facilities are introduced. Private transportation mainly introduces a variety of charging station location models, such as the model based on user random behavior, the model based on user dynamic demand, and analyzes their advantages and disadvantages; The algorithm  and optimization method of solving the model are discussed and analyzed. The findings indicate that in building the urban charging station model, taking into account the interests of society, charging station contractors, and users is essential, and take into account the price of urban land, the price of electricity at different times, and the flow of vehicles, so as to make the model that better aligns with the actual situation.  The research offers a valuable reference for the investigation of EV charging station planning.
The Effect of Employment, Education Level, and English Proficiency on the Association Between Race/Ethnicity and Major Depression Among U.S. Adults Aged 18 - 49 Years: A Cross-Sectional Analysis of 2021 NSDUH
Authors: Zhuo Lan
Published: December 2024

This study hypothesized that employment, education, and English proficiency serve as protective factors against depression, and the risk of depression for Asian Americans would be similar to that of White Americans after controlling for those potential mediators. The sample population included non-Hispanic Asians and non-Hispanic whites aged 18-49 years in the United States (N = 23,426). Using the 2021 National Survey on Drug Use and Health (NSDUH), the association between race/ethnicity and major depressive episode (MDE) was assessed. The results revealed that adjusting for each covariate increased the risk of Asians having MDE. However, the increase was not statistically significant which indicates that these covariates cannot explain the distinct lower prevalence of depression among Asians in the U.S. Other factors such as the influence of cultural differences should be considered in future researches.
Research Progress of Microrna in The Treatment of Tumor Drugs
Authors: Hu Yuxuan , Shao Ziling , Xu Yuxiang
Published: December 2024

MicroRNA (miRNA) has great potential for treating various diseases and has advantages that other treatment methods do not have when treating many diseases. MiRNA therapy has been applied to treat various diseases including obesity and cancer, and has shown significant efficacy. Many scientists are committed to developing new miRNA drugs in order to achieve better efficacy of miRNA therapy and more comprehensive coverage of diseases. This article describes the mechanism of action of miRNA and introduces and summarizes several necessary procedures for the development and production of miRNA drugs, including designing, producing miRNA, and designing ways to transport miRNA to target cells and tissues. Firstly, a synthesized pre-mRNAs or adenovirus-based mMIRs vector is designed in vitro, then, deliver them into host through viral or non-viral mediated system, finally, the miRNA could complement to specific gene by base-pairing, regulating the function of protein via interfering the expression of target genes. We hope that this article can contribute to the future development of miRNA drugs.
Research Review on the Performance of Double Steel Plate Composite Shear Walls
Authors: Liu Haoyang , Liu Yingli , Dong Shuai
Published: December 2024

Double steel plate composite shear walls are characterized by their lightweight, thin wall structure, high ductility, and construction convenience. These walls are widely used in the field of engineering. This paper focuses on double steel plate composite shear walls and summarizes the current state of research on their static load-bearing and seismic performance both domestically and internationally. The paper highlights the deficiencies in current research and points out the future direction for the study of double steel plate composite shear walls.
Risk Factors and Management of Type 1 Diabetes
Authors: Xu Jiawen
Published: December 2024

Type 1 diabetes (TID) is an organ-specific autoimmune disease in which the selective destruction of islet B cells mediated by the T lymphocytes leads to absolute insulin deficiency, especially result from the interaction between genetic and non-genetic factors which is prevalent among teenagers all over the world. However, there also a lot of challenge in clinical and the trigger of the T1D.This essay comprehensively review the currently study of etiology, epidemiology, and management of T1D. he essay mainly aim at understanding the theory of disease as the result of improve in the therapeutic schedule. Moreover, recent innovation in immunotherapy especially in specific islet immune pathways and innovations in non-invasive blood glucose monitoring technologies make the therapy for the patient more efficient and more. At the same time, it is hoped that there will be more relevant studies in the future to continuously improve the understanding of its heterogeneity and prognostic markers, and improve and develop treatment strategies and management methods, so as to benefit patients.
Research on application of electric vehicles in urban transportation systems for greenhouse gas reduction
Authors: Wang Zhuxintian
Published: December 2024

While still in their fancy, electric vehicles have become a global sensation over the past decade. With the backing and high ambitions of many nations and private businesses, the number of electric vehicles sold worldwide boosted from only 0.1million in 2012 to 14 million in 2023, and still keeps an upward trend. The term "green" is frequently applied to electric vehicles, as they are believed to dramatically reduce greenhouse gas emissions and lead the way to sustainable development. This article evaluates the potential of electric vehicles to reduce greenhouse gas emissions under different scenarios for battery electric vehicles and plug-in hybrid electric vehicles. In the most ideal scenario, battery electric vehicles would replace tiny electric vehicles and plug-in hybrid electric vehicles would replace all other light-duty vehicles, including cars and trucks, with an approximate 24.8% reduction in greenhouse gas emissions. The study also points out the lack of electric vehicles needed to be improved in the future, including costs, limited driving range, battery performance, accessibility of charging infrastructure and so on. Besides, the future tendency is proposed in relation to the technological advancement of electric vehicles.
Introducing nanomaterials to enhance the performance of lithium batteries
Authors: Zhai Wenzhe
Published: December 2024

Since human society entered the electrical era, electricity has become an indispensable part in people’s lives, and the battery as the carrier of electricity, whether in the car, or people’s daily lives have a vital role. Since the birth of the first lithium battery, lithium batteries have experienced decades of development, such as the birth of lithium-ion batteries, lithium metal batteries and other types of lithium batteries. However, due to the characteristics of lithium batteries, they still face problems such as low energy density, lithium dendrite growth, reduced Coulomb cycle efficiency, and reversible decrease in capacity. These problems seriously affect the stability and safety of lithium batteries. Therefore, the research has focused on nanotechnology, which brings a good solution to these problems due to the properties of nanoparticles on the microscopic scale. This research summarises the application of nanotechnology in the development of lithium batteries by data analysis, and outlines the current mainstream research directions in several aspects for different types of batteries.
Research on the establishment of Net-Zero Energy Buildings (NZEB) in China and the EU
Authors: Chen Changyu
Published: December 2024

This paper offers a thorough analysis of nearly zero energy buildings (nZEB) in many Chinese areas as well as in nations that are members of the European Union (EU). It delves into the various standards and energy-saving technologies employed in these two distinct regions, highlighting both their techniques' commonalities and contrasts in achieving energy efficiency. By comparing the regulatory frameworks and building practices, the research aims to identify best practices that can be adopted across different contexts. Furthermore, the study predicts and analyzes the potential for achieving NZEB goals in the future, considering factors such as policy developments, technological advancements, and market trends. It emphasizes the importance of local conditions in shaping energy-saving measures, suggesting that tailored strategies are essential for effectively meeting the requirements of net-zero energy consumption. The paper ultimately seeks to provide valuable references for policymakers, architects, and builders in both the EU and China, encouraging a collaborative approach to energy efficiency. By fostering a deeper understanding of the prospects and difficulties in implementing NZEB, the study aims to the global conversation about energy-efficient building techniques and the shift to a more sustainable future.
Artificial Intelligence in Healthcare
Authors: Zhang Ziyi
Published: December 2024

This paper discusses the development history of artificial intelligence (AI) technology and its application in the medical field, including its progress in medical image analysis, intelligent diagnosis, drug development and genomics. It analyses how AI technology breaks through the imbalance between the supply and demand of medical resources, reduces the misdiagnosis rate, and promotes scientific medical decision-making. The application of AI technology in medical data processing and analysis is demonstrated through a case study of Mediadu Cloud, and its advantages and challenges are discussed. Finally, countermeasures such as data standardisation and technological innovation are proposed to promote the healthy development of AI technology in the medical field.
Analysis Of Research Status of Antibody-Drug Conjugate in The Treatment of Colorectal Cancer
Authors: Luo Shaoting
Published: December 2024

As the most frequent malignant tumors in the digestive system, Colorectal Cancer (CRC) has a high incidence and mortality in recent years. Asymptomatic or asymptomatic symptoms are not obvious in CRC patients due to early clinical manifestations. The current treatment plan for CRC is a comprehensive treatment plan based on surgery, but about 30% of patients still have recurrence and metastasis and lead to death after receiving traditional treatment. The treatment of CRC is still being optimized, and more scientists are constantly investing in the discovery and development of novel medications. With the deepening of research and the improvement of clinical trial data, antibody-drug conjugate (ADC) targeting specific targets have gradually shown great potential therapeutic effects. In this paper, the basic principle of ADC, the research status of ADC for CRC and the application limitations of ADC drugs are reviewed. The development of ADC has brought new hope for the treatment of CRC patients, but the toxicity and drug resistance of ADC is still a great challenge to limit the efficacy of ADC. At present, how to combine ADC with personalized treatment of patients, effectively reduce toxicity, and find the next generation of high efficiency and low toxicity is the development direction of ADC.
Machine Learning-Based Calibration Study of MERSI-II Atmospheric Precipitable Water Vapor Product
Authors: Li Mengnan
Published: December 2024

Existing studies have found that there is a systematic underestimation of the terrestrial atmospheric precipitable water products of the FY3D satellite. In order to correct the bias and improve the accuracy of the products, this paper takes the data from the global AERONET ground observatory and the data from the FY3D atmospheric precipitable water products as the data source and conducts the modeling according to the ground observatory as the center of the circle, 0.05° as the spatial radius, the time of the satellite transit, and half an hour before and after the time scale. Spatio-temporal matching is used to obtain the modeling data, and the Random Forest Model (RF) is used to model the data and correct the FY3D atmospheric precipitable products. The results show that the application of the RF model can correct the product bias and improve the quality of the products.
Influences of DNA Methylation and Histone Acetylation on Gene Expressions
Authors: Wang Yu
Published: December 2024

Epigenetics is the concept of modifying the chromatin to achieve the different levels of transcription. This paper mainly focuses on two well-discovered mechanisms of epigenetics: DNA methylation and histone acetylation. While both affect chromatin assembly, the former acts on cytosine in the DNA strand, while the latter mostly acts on the amino acid lysine in the protein histones. Upon methylation and acetylation, the winding of chromatin is either strengthened or loosened. In addition to their actions, this paper illustrated the chemistry bases of DNA methyltransferases (DNMTs), histone acetylases (HATs), and histone deacetylases (HDACs), including the inhibitors that act against them. The discovery of these factors gives insights into clinical adaptations in analyzing pathologies of complex diseases. DNA methylation is largely being explored in neuropathic pain for diagnostic purposes and intensity detection. This paper also stresses the onerous evaluations taken to draw a conclusion in the perspective of epigenetics and the possible attention to be drawn when contradictive patterns are detected.
Celebrity Endorsements Driving Brand Growth and Consumer Behavior Insights: A Case Study of Miu Miu
Authors: Chen Shiyue , Wang Ruoxi , Wang Rui
Published: December 2024

Researchers have found that celebrity endorsements have a significant impact on brand fandom effects; however, there is still a lack of a unified explanation for the underlying consumer psychology and behavioral issues. With the increasing prevalence of celebrity endorsements, consumer reactions to such marketing strategies have become an important topic in the current research field. Scholars have observed that celebrity endorsements play an important role in enhancing brand fandom effects, yet the psychological motivations and behavioral patterns in this process lack a unified theoretical framework for complete explanation. Therefore, the core of this study is to explore how celebrity endorsements can promote significant progress for brands in the market. The study adopts a process tracing method in case study analysis, focusing on an in-depth exploration from the perspectives of consumer psychology and purchasing behavior. Through this method, the study aims to reveal how celebrity endorsements affect consumer perceptions, attitudes, and ultimate purchasing decisions, and how these factors collectively contribute to the enhancement of brand market performance. By leveraging spokespersons who are highly aligned with the brand image and have a positive image, and through extensive multi-channel dissemination, Miu Miu has successfully sparked heated discussions on social media, and its sales have also achieved significant growth, thus occupying a leading position in the luxury goods market. The brand's strategy focuses on in-depth market insight, flexible communication methods, and continuous strategy optimization, providing valuable references and insights for brands in various industries.
The Impacts and Applications of Micronutrients for Cardiovascular Diseases
Authors: Tanaka Marina
Published: December 2024

Cardiovascular diseases (CVDs), such as stroke, coronary heart disease (CHD), heart failure (HF), and hypertension, remain the primary cause of death globally. Growing evidence suggests that daily intake of micronutrients, including minerals, vitamins, and polyunsaturated fatty acids (PUFAs), plays a critical role in reducing the risk of CVDs. This article provides a comprehensive analysis of current research, highlighting how these micronutrients mitigate CVD risk by reducing inflammation, enhancing lipid metabolism, regulating blood pressure, and lowering the incidence of disease in at-risk populations. Regular consumption of appropriate levels of micronutrients can not only prevent the onset of CVDs but also improve health outcomes in patients already suffering from these conditions. Additionally, this paper underscores the importance of dietary habits in CVD prevention across various age groups. Despite the promising role of micronutrients, further research is required to establish their efficacy in treating existing cardiovascular conditions, presenting opportunities for future clinical studies.
The Applications of Runge-Kutta Numerical Methods to Numerical Solutions of Several Neutrosophic Problems
Authors:   Department of Mathematics, Faculty of Science, Jadara University, Irbid, Jordan, Belal Belal
Published: December 2024

In This paper, we develop the Runge-Kutta numerical method to be applied on neutrosophic problems of high orders, where we present generalized neutrosophic versions of Runge-Kutta methods of rank five, six and seven to use them in finding numerical solutions for some neutrosophic differential problems. In addition, we apply our generalized methods to some solid problems with many illustrated examples and numerical tables for comparing the results and the absolute errors.
A New Algebraic Approach of Neutrosophic Lie Algebra by AH Isometry
Authors:   Faculty of Science, Department of Mathematics, Idlib University, Syria, Nader Nader ,   Faculty of Science, Department of Mathematics, Idlib University, Syria,   Gaziantep University, Department of Mathematics, Gaziantep, Turkey, Alsheikh Mohammad , Hatip Ahmed
Published: December 2024

This paper introduces a novel approach to the concept of neutrosophic Lie algebra by leveraging the AH isometry framework. We establish foundational properties of neutrosophic Lie algebra, demonstrating that each neutrosophic algebra inherently fulfills the criteria of a Lie algebra. Moreover, we introduce distinct neutrosophic Lie algebraic structures, providing illustrative examples to support these constructs. By integrating neutrosophic logic, our approach effectively addresses indeterminacy, ambiguity, and imprecision, enhancing the classical algebraic structures with new dimensions of flexibility. The potential applications of neutrosophic Lie algebra are vast, particularly in fields requiring nuanced treatments of uncertainty.
The Runge-Kutta Numerical Method of Rank Seven for the Solutions of Some Refined Neutrosophic Differential Problems
Authors:   Department of Mathematics, Faculty of Science, Jadara University, Irbid, Jordan, Belal Belal
Published: December 2024

In This paper, we present a numerical approach to the seventh rank refined neutrosophic Runge-Kutta numerical method, where we provide the theoretical basis of this formula to be applicable on refined neutrosophic differential equations. In addition, we provide numerical tables to compare the validity of this new method with other methods, as well as a clear computation of absolute errors in terms of refined neutrosophic numbers.
SoftWeak θ-Continuity and Preservations of Soft Hyperconnectedness and Soft Near Compactness
Authors:   Department of Mathematics, Women Section, King Saud University, Riyadh 12372, Saudi Arabia, Samer Samer ,   Department of Mathematics and Statistics, Jordan University of Science and Technology, Irbid 22110, Jordan, Al-Ghour Samer Al
Published: December 2024

In this paper, we introduce a new weak form of soft continuity called soft weak θ-continuity in soft topological spaces and investigate the relationships between soft weak θ-continuity and θ-continuity (resp. soft weak continuity and soft δ-continuity). We obtain several characterizations of soft weak θ-continuity. Also, we give sufficient conditions for the equivalence between soft weak θ-continuity and soft θ-continuity (resp. soft δ-continuity). Moreover, we investigate the link between soft weak θ-continuity and weak θ-continuity in classical topology. Furthermore, via soft weak θ-continuity, we obtain preservation theorems of soft hyperconnectedness and soft near compactness. Finally, we obtain soft restriction, soft product, and soft graph theorems of soft weak θ-continuity.
Ideals and filters on intuitionistic fuzzy lattices
Authors:   Department of Mathematics, University Center of Barika, Amdoukal Road, Barika, 05001, Algeria, Soheyb Soheyb ,   Department of Mathematics, University Center of Barika, Amdoukal Road, Barika, 05001, Algeria,   University of M’sila, University Pole, Road Bourdj Bou Arreiridj, M’sila 28000, Algeria; KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Belgium, Milles Soheyb , Zedam Lemnaouar
Published: December 2024

Based on the concept of Atanassov’s intuitionistic fuzzy set on a universe X, we introduce the concepts of intuitionistic fuzzy ideals and intuitionistic fuzzy filters on an intuitionistic fuzzy lattice. More specifically, we provide characterizations of these concepts in terms of the intuitionistic fuzzy lattice meet and join operations, in terms of some associated fuzzy sets, as well as, in terms of their crisp level sets. Furthermore, we introduce the concepts of prime intuitionistic fuzzy ideals (resp. filters) as interesting kinds, and investigate their various properties and characterizations.
Time Fuzzy Parameterized Fuzzy Soft Expert Sets
Authors:   Department of Mathematics, Faculty of Science, Jadara University, Irbid, Jordan, Anwar Anwar ,   Department of Mathematics, Faculty of Science, Jadara University, Irbid, Jordan, Hazaymeh Ayman.A
Published: December 2024

Finally In this study, we define parameterized time fuzzy soft expert set (PTFSES) as an extension of fuzzy soft set. Additionally, we will clarify and investigate the characteristics of its primary operation (complement, union intersection, ”AND” and ”OR”). , we’ll apply this approach to decision-making difficulties.