bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Family Parent-child Games and Attachment Relationships on Children's Social Adaptability
Authors: Chen Ruixin
Published: January 2025

This paper explores the impact of family parent-child games (PCG) and attachment on children's social adaptability in depth. PCG, which include a variety of types, positively affect children's cognitive development, emotional development, social skills (SS) training, and adaptive behavior. Attachment are divided into secure, avoidant, and resistant types, among others. A secure attachment (SA) helps children establish a positive self-concept, promotes exploratory behavior, enhances cognitive development, regulates emotions, and develops SS, which are also crucial to children's adaptive behavior. PCG and attachment influence each other and jointly affect children's adaptability. A positive family environment (FE) is conducive to the development of both. Strategies to promote children's social adaptability include enhancing the quality and frequency of PCG, establishing secure attachment, and leveraging the collaborative effects of family, school, and society. In summary, family PCG and attachment significantly impact the development of children's social adaptability. Parents should value and cooperate with schools and society to create a favorable growth environment for children.
Impact of Parenting Styles on Self-Esteem, Psychological Resilience, and Academic Performance
Authors: Liu Yuqi , Jia Yibin , Xue Gaoyang
Published: January 2025

Parenting styles (PSs) have been a widely discussed topic in psychological research. The studies have shown that PSs influence self-esteem (SE), psychological resilience, and academic performance (AP) in different ways. SE, psychological resilience, and AP are key factors in individual development, playing an important role in promoting mental health and enhancing the ability to face challenges. SE boosts an individuals sense of self-worth, psychological resilience aids in overcoming difficulties, and good AP lays the foundation for future personal and professional growth. However, the underlying mechanisms and the extent of these influences remain inconsistent. This study, therefore, aims to conduct a literature review to synthesize recent findings on these three topics and provide a useful basis for educational and family interventions. The research findings indicate that authoritative parenting is positively correlated with childrens psychological resilience, SE, and AP, while negative PSs, such as authoritarian and permissive styles, are negatively correlated with these aspects of child development. These results emphasize the importance of encouraging caregivers to adopt authoritative parenting practices to support healthy development in children.
Strategies for Cultivating High School Students' Mathematical Abstraction Ability under the New Curriculum Standards: A Case Study of Inequalities
Authors: Xu Zixin
Published: January 2025

Under the guidance of the new curriculum standards, mathematical abstraction ability is a critical aspect of developing students' core mathematical literacy. Taking inequalities as an example, this paper explores effective strategies for cultivating high school students' mathematical abstraction ability. The strategies are based on practical teaching examples of inequalities and include guiding students to understand abstract concepts, strengthening the expression of mathematical language, expanding the breadth and depth of students' mathematical thinking, and fostering students' ability for self-reflection. These strategies aim to help students understand and master the abstract concepts of inequalities, further understand abstract concepts in high school mathematics, improve students' mathematical literacy, and enhance their problem-solving abilities.
Breaking the Sick Workers Conundrum: An Analytical Study on the US Autoworkers Physical and Mental Health Risks
Authors: Ma Ziyou
Published: January 2025

Autoworkers suffer from a higher mortality rate of cancer and heart diseases compared to the public due to long-term exposure to workplace hazards and mental stress. A comparative literature review was conducted to show the influence of health-risk factors among autoworkers; a qualitative study of nine in-person interviews with autoworkers in Michigan was designed for better comprehension of their decisions regarding health risks at work. This study revealed that financial stress and mistrust towards corporations and the government play significant roles in workers acceptance of working in hazardous environments; together, these factors contribute to peoples reluctance towards using proper personal protective equipment and other means of safety practices. The author believes that a public financial aid program for autoworkers and training programs for corporate management on communication and empathy will reinvigorate the auto-manufacturing industry with a healthier and more productive labor force.
Divine Authority and Social Hierarchies: A Comparative Study of Economic Inequality in Samoa and Tonga
Authors: Cao Leyi
Published: January 2025

This comparative analysis delves into the role of religious and economic factors in shaping social stratification in Samoa and Tonga, two prominent societies within the Polynesian triangle. While both islands share cultural traditions that intertwine religious beliefs with the control of resources, which grant chiefs or kings substantial authority, their political structures have evolved along distinct trajectories. Tonga developed a centralized monarchy, heavily influenced by the divine right of kingship, consolidating power in the hands of the monarchy and reinforcing hierarchical structures. In contrast, Samoa established a decentralized matai system, prioritizing communal governance and shared leadership through extended family networks. The study further explores how geographical and economic conditions shaped these divergent systems, contributing to varying degrees of institutionalized inequality and societal organization. By examining the interplay of religion, governance, and resource control, this paper aims to provide a detailed understanding of how these factors historically influenced social hierarchies and power dynamics across Polynesia.
Research on the Influencing Factors and Problems of Teacher Professional Motivation from the Perspective of Teacher Professional Beliefs
Authors: Su Jingxuan
Published: January 2025

With the reform of education, the role of teachers has gradually shifted from simply imparting knowledge to guiding students, putting higher expectations and pressure on teachers. In this context, this article analyzes the correlation between teachers' professional beliefs and professional motivations from the perspective of professional beliefs. This article argues that in the context of high-pressure environments and rapid technological development, the reasons for insufficient professional motivation among teachers include excessive work pressure, lack of social and school support, and inadequate salary and promotion mechanisms. Teacher professional beliefs have a positive effect on professional motivation. When enhancing professional beliefs, teacher professional beliefs have a significant improvement effect on professional motivation, which helps teachers maintain positivity and enthusiasm when facing challenges and difficulties. Based on this, this article proposes specific methods to enhance teachers' beliefs and motivation, such as providing psychological support to help teachers relieve stress, offering more professional development opportunities to boost teachers' professional confidence, establishing a fair reward and recognition mechanism, and improving the teaching and office environment through a series of incentive measures to help enhance teachers' professional beliefs, thereby achieving the goal of improving teaching motivation and quality.
Implications of the Great Depression of 1929 on the Current Economic Situation
Authors: Niu Yifan
Published: January 2025

At the beginning of the 2020s, the world economy has experienced a long period of turbulence and challenges. The overall economic downturn requires the world to think about how to face the economic blow to the societies, and how to improve and solve the economic problems. The economic woes and the hesitancy to deal with them are reminiscent of the Great Depression of the 1920s. The purpose of this paper is to analyze the background, causes and economic impacts of the Great Depression in 1929 and the economic downturn at present. Through the results of the analysis, the similarities and differences between the two recessions are compared. The similarities between the two lie in the globalization that already exists, but the differences lie in the monetary system, the backbone industries and the speed of communication. Finally, the paper puts forward measures that can be taken to alleviate the current economic downturn, namely persistance in globalization to ensure the integrity of global supply chains and adoption of consumer stimulus measures such as consumer subsidies to the public
DSB's General Rules in Dealing with Tariffs on Similar Imported Products and Their Implications for Domestic Practices: Taking the WTO Chilean Wine Duty Case as an Entry Point
Authors: Wang Jiani
Published: January 2025

The principle of national treatment ensures that foreign nationals receive(natural persons, legal persons, or things) economic treatment comparable to that given to a states nationals. In international trade, national treatment is reflected primarily in the taxation of imported goods of the same kind (including but not limited to substitutable and directly competitive goods). A lack of uniform standards exists in defining similar goods, and the WTO Dispute Settlement Body (DSB) mainly considers the identification of similar products in terms of their use, substitution elasticity, physical characteristics, consumer preferences, sales channels, prices, tariff categories, etc., and at the same time, it needs to take into account the potential competition. On the other hand, the identification of different taxes is mainly based on the different tax principle, and the determination of different taxation is mainly judged by whether it is more than a minor difference and whether it provides protection for domestic production. This lack of codified standards contributes to disputes regarding the application of the national treatment principle. Through the introduction and analysis of the Chilean Wine Duty case combined with the opinions of the Panel and the Appellate Body, this paper will try to draw the general rules of the DSB in dealing with similar cases, and use them to guide China's future practice, to playing the role of a large developing country on the road of international trade
Assessment of the Viability of CRISPR/Cas9 Application in Immunotherapy for Hepatocellular
Authors: Wei Yantong
Published: January 2025

Liver cancer affects a significant number of individuals annually, and it ranks as the third leading cause of cancer-related deaths. In the past decade, significant advances have been brought to provide more options for treating hepatocellular carcinoma (HCC). However, the development of treatment resistance in HCC patients raises challenges for clinicians in managing this malignant tumor. The use of the CRISPR/Cas9 system to identify genes that enhance clinical response in HCC patients lays a solid foundation for personalized treatment. This article summarizes the current understanding of using the CRISPR/Cas9 system in cancer therapy, particularly emphasizing its application to HCC. This review presents examples and relative mechanisms of using CRISPR/Cas9 with immune checkpoint inhibitors to control tumor cell growth and discusses how CRISPR/Cas9 can prevent viral hepatitis from progressing to HCC. This review aims to improve patient prognosis and fundamentally transform the treatment landscape of HCC by reviewing the prospects and current status of CRISPR technology in the treatment of HCC
The applications of CRISPR systems in cancer detection
Authors: Li Xinmeng
Published: January 2025

With the increasing incidence and mortality rate of cancer, CRISPR technology needs to be applied more widely and accurately in this field. The current application of CRISPR in cancer detection is mostly aimed at cancers with clear genes as tumor markers. The detection of some cancers with unknown pathogenesis is still in the stage of development. Studying their pathogenesis through CRISPR technology may make progress and accelerate their detection and diagnosis. This article demonstrates the feasibility of CRISPR cas system and the incidence detection principles of the important disease cancer and introduces representative application cases to further demonstrate the importance and development prospects of CRISPR in this field. This article helps to gain a preliminary understanding of the application principles of CRISPR system in cancer detection, facilitating the screening of suitable related technologies and providing ideas for future study on new CRISPR technologies in cancer. In the future, CRISPR technology is highly likely to greatly accelerate the speed of cancer detection, reduce detection costs, and provide assistance for integrated cancer detection, perhaps making cancer detection as easy as nucleic acid kit testing.
HPV vaccination rates and public attitudes towards HPV vaccination in different countries: a review of cross-cultural studies
Authors: Zhang Jiwei
Published: January 2025

In order to better prevent HPV infection, HPV vaccine has been promoted worldwide. Most of the current research on HPV vaccine is related to a specific region or involves the comparison of two regions. It is still worth exploring whether the influencing factors of people's attitudes to HPV vaccine are the same in different regions. This review searched the public data of the World Health Organization and analyzed several studies on the attitude or vaccination behavior of HPV vaccine to complete the cross-cultural research. This article found that culture, publicity and education, economic level, religious belief, social psychological status and other factors can affect the public's attitude to HPV vaccine. Positive attitudes lead to positive vaccination behavior. This review provides a reference for future research in the cross-cultural field. However, this paper has not yet compared the importance of the influencing factors, so future research can make this comparison. It is also recommended that health professionals pay attention to the role of men in HPV transmission, disease prevention, and vaccination.
Therapeutic Potential of RAS Inhibitors in the Management of Diabetes
Authors: Luo Mingyang
Published: January 2025

The global prevalence of diabetes is on the rise, with its pathogenesis closely related to the renin-angiotensin system (RAS) that includes the classical antagonistic pathway and the ACE2-Ang-(1-7)-Mas axis. Despite its well-documented role in cardiovascular health, the potential mechanisms by which RAS is associated with diabetes require further study. RAS interacts with metabolic regulatory factors such as obesity and autophagy. Excessive activation of the Ang II-AT1 receptor pathway can contribute to insulin resistance and diabetic complications. This review elucidates the mechanisms by which RAS contributes to diabetes development and discusses both clinical applications and future directions for RAS inhibitory drugs in managing diabetes. And it concludes that RAS inhibitors hold significant promise for treating diabetes and its associated complications, warranting deeper exploration into their future roles within this field. The results indicate the intricate relationship between RAS and diabetes, alongside the therapeutic potential offered by RAS inhibitors.
Research on Short-Circuit Failure Characteristics of SiC MOSFETs
Authors: Guan Yifan
Published: January 2025

SiC MOSFETs face short-circuit issues in practical applications. When a short circuit occurs in a SiC MOSFET, the high current density causes rapid heat generation, leading to a short short-circuit withstand time. This, in turn, increases the risk of device damage or even the burnout of the entire electrical equipment. To ensure the safe and reliable operation of SiC MOSFETs in electrical systems, research on their fundamental characteristics, short-circuit behavior, and protective driving mechanisms is crucial. This paper investigates two short-circuit failure modes and the factors influencing them
Obesity and Different Effect Between Exercise and Diet for Weight Loss
Authors: Zhan Fengrui
Published: January 2025

The worldwide increase in obesity has become a significant public health issue, linked to a range of chronic illnesses, including diabetes, heart disease, and some types of cancer. This study investigates the effectiveness of combined dietary and exercise interventions in promoting weight loss, drawing on a systematic literature review and case analysis of recent peer-reviewed research. By examining various dietary approachesincluding low-carbohydrate, Mediterranean, and calorie-restricted dietsalongside different exercise modalities such as aerobic training and high-intensity interval training (HIIT), this research aims to identify the optimal strategies for weight management. Findings indicate that individuals participating in combined interventions experience significantly greater weight loss and improvements in metabolic health compared to those following diet or exercise regimens alone. Moreover, the study emphasizes the importance of personalized interventions that consider individual preferences and psychological factors, suggesting that integrating social support mechanisms and technological tools can enhance adherence and long-term success. The results emphasize the need for comprehensive weight management strategies that address the interplay of dietary and exercise components, psychological support, and social influences to effectively combat obesity and promote overall health.
Modeling the Impact of Greenland Ice Sheet Melting on Global Sea Level Elevation and Climate Change Feedback Mechanisms
Authors: Li Siqi
Published: January 2025

The rapid acceleration of global warming is leading to an increased rate of glacier melt at the Earth's poles, which exacerbates the threats posed by the climate crisis and contributes to rising ocean levels. The Greenland Ice Sheet, recognized as the second-largest ice sheet globally, has housed its extensive glaciers and ice caps for at least 18 million years [1]. The melting and potential collapse of this ice sheet could significantly affect Worldwide climate and sea height. This research aims to develop a coupled model to assess rising sea levels caused by the thawing of the Greenland Ice Sheet, incorporating factors such as global warming, glacier volume, hydrothermal expansion, isostatic rebound, ice dynamics, changes in the gravitational field, and the absorption and release of methane gas. Additionally, the paper investigates the hazards connected to melting glaciers exacerbating global warming. This research provides a crucial foundation for forecasting the long-term impacts of the Greenland Ice Sheet's melting on global climate change.
A Review: Mechanisms of Ocean Acidification in the Context of Global Warming
Authors: Li Yunzhi
Published: January 2025

Global warming stems mainly from the accumulation of greenhouse gases, which leads to higher atmospheric and ocean temperatures and has far-reaching impacts on marine systems. This paper focuses on the impact of global warming on the El Nio phenomenon and ocean acidification. There are significant changes in the frequency and intensity of El Nio events in the context of global warming, but the exact trends are uncertain. At the same time, the increase in carbon dioxide has led to ocean acidification, which poses a threat to the growth of marine organisms and the stability of ecosystems. An in-depth understanding of the role of El Nio and ocean acidification in climate change is therefore essential for the protection of marine ecosystems. For future marine ecological conservation, a comprehensive analysis of the climatic effects of El Nio and ocean acidification is essential. Only an in-depth study of these factors can lead to a more effective response to the ecological challenges posed by global warming.
Rehabilitation Options for the Knee Osteoarthritis (KOA)
Authors: Wang Sulaiman
Published: January 2025

This paper highlights the significant value of various rehabilitation therapies for treating knee osteoarthritis (KOA). Acupuncture, moxibustion, ultrasound, shortwave therapy, pulsed electromagnetic field (PEMF) therapy, low-intensity laser therapy, and electrotherapy are examples of widely recognized physical therapies with demonstrated efficacy. Based on a review of these techniques, moxibustion and electrotherapy rank as the most widely used therapies, with acupuncture coming in second. Electrotherapy is a simple, cost-effective method that can be administered at home, making it more convenient than acupuncture and other advanced techniques like ultrasound and PEMF. In contrast, acupuncture relies on the expertise of professionals. At the same time, more complex technologies such as shortwave, PEMF, and laser therapies are less accessible due to their technical nature and higher costs. However, while all of these therapies help treat KOA, their specific applications and ease of use vary, and the specifics of the choices need to be analysed on a case-by-case basis.
Research on Precise Servo Control of Hand Motion Real-time Detection Based on Surface Electromyography Signals Integration and Analysis of Muscle Response to Workout Exercises
Authors: Zhang Xiangyu
Published: January 2025

This study explores the integration of surface electromyography (sEMG) signals for precise servo control in real-time hand movement detection. It also further utilizes the feedback system designed to measure effects of workout exercises on forearm sEMG signals and delves into how different time and types of workouts affect forearm muscle response. Medical electrodes captured sEMG signals from forearm muscles and converted them into digital signals using an Arduino UNO R3 microcontroller board and an Olimex EMG shield to monitor hand pose variations. The digital signals were then processed to calculate the root mean square (RMS) voltage, which was then used to control the position of a servo motor. The implementation of a proportional-derivative (PD) controller further enhanced the accuracy and stability of the servo movements. Then the feedback system was used to measure how sEMG signals vary due to hand opening and closing before and after a range of workout exercises with varying time and workout types, and the results were compared to reach the conclusion that both workout time and type influences how forearm muscles respond to hand closing and opening. Future work may explore the effect of more time and types of workouts on muscle response, expand the range of test subjects, and improve the accuracy and stability of the test system
Electromagnetic Railguns and Coil Guns: Comprehensive Analysis of Physical Principles and Applications and Experimental Improvements
Authors: Ma Mingjun
Published: January 2025

This research is mainly to provides a report and summary of the production and experimental principle of our last electromagnetic gun Electromagnetic guns use the basic principle in physics that moving charges or current-carrying conductors are subjected to the electromagnetic force (i.e., the Lorentz force) in a magnetic field to accelerate projectiles. According to the acceleration method, electromagnetic guns can be divided into rail guns and coil guns . An electromagnetic railgun accelerates projectiles using the fundamental principles of physics involving moving charges and current-carrying conductors interacting with a magnetic field, known as the Lorentz force. Electromagnetic Railguns accelerate projectiles to very high speeds using Lorentz force generated by strong electric pulses through parallel conductive rails . A coilgun is a device that uses electromagnetic fields to accelerate metallic projectiles. Its working principle is based on Faraday's law of electromagnetic induction. By passing current through a coil, a strong magnetic field is generated, which propels the projectile along the guide rail. Coilguns offer several advantages over traditional gunpowder-based propulsion methods, including higher initial velocities, extended ranges, reduced recoil, and lower launch noise. However, despite these potential benefits, our experimental setup revealed several limitations.This report summarizes the challenges encountered and Outlines suggested strategies for improving the design and addressing the identified deficiencies, analyzing the problem through a qualitative perspective. To provide readers with effective information
Influence of Bow Pretension Force on Violin Performance
Authors: Zhao Xinran
Published: January 2025

This study investigates the influence of bow pretension force on the performance and tone of the violin through theoretical modeling, finite element analysis, and experimental verification. Theoretical modeling was used to establish the initial shape and bending characteristics of the bow. Through a multi-objective genetic algorithm, the material properties of the bow, particularly the Young's modulus, were optimized to closely match actual measurements. Experimental tests were conducted to analyze the effects of different pretension forces on the violin's sound quality, showing that higher pretension increases harmonic amplitude and alters the timbre. However, both excessive and insufficient pretension forces negatively impact bow controllability and performance stability. The research concludes that a moderate pretension force balances timbre and playing stability, ensuring optimal performance. This study provides valuable insights into the acoustic characteristics of the bow and offers a scientific basis for players when selecting and adjusting their bows
The Application of Building Information Modeling in Large Scale Railway Integrated Transportation Hubs
Authors: Kan Juntong
Published: January 2025

In recent years, as the traditional construction industry has been upgraded, smart construction has emerged as a new direction for its development, and there has been a gradual increase in global attention to related technologies. BIM, as a bridge for the transformation and upgrading of the construction industry, and an indispensable tool in the construction process, its importance is self-evident. This article elaborates on the application of BIM in the constructing-scale railway comprehensive hubs from two aspects: basic application and combined application with related technologies (GIS, AI) through a literature review and case analysis. Regarding basic applications, BIM mainly participates in construction from four aspects: design, construction, maintenance, and management. In terms of combined applications, BIM primarily concentrates on integrating its advantages with other technologies, compensating for its shortcomings, and aiming to double its impact. In the future, BIM will increasingly focus on research that combines applications such as BIM+Internet of Things, BIM+green building, etc., providing technical support for future research in the smart construction industry related to BIM
Sentiment Analysis Techniques for Deep Learning Classification and Comparison
Authors: Chen Shuaiyu
Published: January 2025

Sentiment analysis, a critical tool in natural language processing (NLP), has seen significant advancements with the rise of machine learning and deep learning techniques. This paper explores the evolution of sentiment analysis from traditional models, such as CNN and RNN, to more sophisticated approaches like LSTM, LSTM-CNN, and BERT. Using the IMDb dataset for binary classification of sentiment, we utilize metrics like F-Score, Precision, Accuracy, and Recall to compare the way these models perform. Despite the progress made, sentiment analysis still faces challenges, particularly in handling multiple languages, incorporating multimedia content, and addressing privacy and ethical concerns. This paper also discusses future directions for sentiment analysis, including the development of models for low-resource languages, real-time sentiment analysis, and the ethical implications of data handling. Overall, the study highlights the potential of sentiment analysis and the opportunities for improvement through continued research and innovation.
The Microscopic World: Deign and Construction a Low-cost, Portable Reflective Digital Holographic Microscope
Authors: Wang Lezhe
Published: January 2025

In daily life, scratches are often left on reflective surfaces, including rearview mirrors, makeup mirrors, and optical lenses, posting significant problems on image quality. Traditional 3D measurement methods usually use expensive and massive instruments, such as confocal microscopes or electron microscopes, which are not practical for high school research projects. Digital microscopy has the advantages of being non-contact, full-field, real-time, and high-precision, offering a solution. Therefore, this paper explores the use of digital holographic microscopy to measure the 3D surface of reflective surfaces. The study is based on a Michelson interferometer, reducing the systems size by using folded optical path and eliminating unnecessary converging lenses. Through simulation experiments, this research explores how various optical system parameters affect imaging quality and optimizes the clarity of the 3D reconstruction. Based on the conclusions from the simulations, hardware set-up of the system was selected, including a 635nm laser, collimation lenses, a beam splitter, mirrors, and a CMOS camera, keeping the total cost under 3000 yuan. In the experimental section, the system was built, and through adjustments in the reference beam angle and the distance between the object and the camera, clear interference fringes were successfully obtained. To further enhance the research, MATLAB was used to write an angular spectrum diffraction reconstruction algorithm. The experiments conducted on lenses and wafers produced their 3D profiles. This research demonstrates the potential of digital microscopy in both solving real-world problems and helping high school students explore the field of physics, promoting a deeper understanding of concepts like optical interference and diffraction
Analysis of the Seasonal Distribution Characteristics of Hand, Foot, and Mouth Disease in a Southern China
Authors: Yan Jinqi
Published: January 2025

Hand, foot, and mouth disease (HFMD) is a common infectious disease affecting children, particularly prevalent in Asian countries. In a city in southern China, the annual number of HFMD cases exceeds 40,000, yet this data has not been thoroughly analyzed to date. The Chinese Center for Disease Control and Prevention collected data on HFMD cases in this southern city from 2014 to 2019, with cases recorded on a monthly basis. We aimed to analyze the seasonal distribution characteristics of HFMD in the city using two methods: the Concentration Method and the Seasonal Index Method. The study aims to fill the existing data gap and provide insights for developing effective prevention and control strategies. Over the six-year period from 2014 to 2019, a total of 187,887 cases of HFMD were reported in the province. The average annual incidence rate was 48.94 per 100,000 population. The concentration ratio (M) was calculated to be 0.335, with annual M values ranging from 0.151 to 0.554, indicating a significant degree of seasonality in the incidence of HFMD. The seasonal index (C) exceeded 100% from April to July, peaking in June at 228.418%, which suggests that the epidemic season for HFMD in this city is from April to July. Given the distinct seasonal characteristics of HFMD in the southern city, it is imperative that prevention and control measures are implemented in advance of the peak season. Concurrently, robust surveillance and early warning systems should be maintained to mitigate the spread of HFMD and prevent outbreaks.
Research on Autonomous Car Sensor Fusion Methods
Authors: Qiu Jinchen
Published: January 2025

Autonomous vehicles ( AVs ) represent a significant technological advance poised to transform transportation by enhancing road safety, reducing traffic congestion, and reducing human error. Performance is largely a function of AVs ' ability to accurately interpret the environment, which is achieved by using a complicated method of cameras. Even though all of these cameras, like LiDAR, radar, cameras, and radar detectors, have advantages and disadvantages, no one system is capable of properly handling all driving conditions. To overcome these limitations, sensor fusion combines data from various cameras to create a detailed, reliable belief structure. This statement examines various sensor fusion techniques, identifies their limitations, and suggests a site for increased communication. This page combines probabilistic models and machine learning strategies, increasing the car's object detection, tracking, and choice-making abilities. Through style and genuine-world tests, the proposed model shows major improvements in sensor reliability, especially in adverse conditions like as bad weather or reduced visibility.
Advancing Genetic Engineering through AI: Sequencing and Editing Innovations
Authors: Sun Shili
Published: January 2025

As an important part of modern biotechnology, genetic engineering is widely used in fields such as disease treatment, agricultural improvement, and environmental protection. Gene sequencing technology, especially next-generation sequencing technology, provides a powerful tool for studying biological genetic information. However, with the rapid growth of genomic data, how to efficiently and accurately analyze and apply this huge data has become a major challenge facing genetic engineering. In recent years, artificial intelligence (AI) technology, especially deep learning, has been widely used in the automated processing of large-scale data and has shown great potential in genetic engineering. AI technology not only shows advantages in gene editing optimization, genetic variation detection and genome association analysis, but also significantly improves the efficiency and accuracy of genetic data analysis. Although AI has brought many conveniences in genetic engineering, challenges such as technology transparency, data quality issues, and ethics and privacy protection still need to be solved. This article explores the application of artificial intelligence in genetic engineering sequencing and data analysis, analyzes how AI can improve the efficiency and accuracy of genetic data analysis, and discusses the potential contribution of AI in gene editing and precision medicine. As AI continues to develop, it is expected to play an increasingly important role in fields such as genomics, gene editing, and precision medicine, and provide more effective strategies for future disease treatment
Advances in Plant Epigenetic Regulation of Abiotic Stress Response
Authors: Sun Ming
Published: January 2025

With global climate change and increasing environmental pollution, plants are facing increasingly severe abiotic stresses, such as drought, salinization and heavy metal pollution. These stresses not only affect plant growth and development, but also pose a threat to agricultural production and ecosystem stability. In order to adapt to these unfavorable environments, plants have evolved a series of complex response mechanisms, among which epigenetic regulation, as an important means of regulation, has gradually attracted the attention of researchers. By modifying gene expression without modifying the DNA sequence, epigenetic control uses a variety of techniques, including DNA methylation, histone modification, and non-coding RNAs (ncRNA). These mechanisms are crucial for plant responses to abiotic stresses and can significantly enhance plant resistance and adaptive capabilities. DNA methylation can enhance plant resistance by controlling the expression of stress response-related genes; histone modification can regulate plant physiological responses by altering the structure of chromatin and affecting the accessibility of genes; and ncRNAs, especially microRNAs and siRNAs, can regulate plant physiological responses by targeting the expression of stress response-related genes. In-depth study of the role of plant epigenetic regulation in abiotic stress response is of great theoretical and practical significance for improving crop resistance and ensuring food security
Sustainable Business Practices in the UK: Benefits and Challenges
Authors: Li Xutong
Published: January 2025

In this paper, the advantages and the disadvantages of sustainable business in the UK are explored through its environmental, economic and social impacts. Examples from companies such as Marks & Spencer and Unilever are cited to show how sustainably will enhance the brand reputation, operational efficiency, social responsibility and the overall business performance. But the financial barriers, the regulatory barriers and the cultural barriers to the adoption of entrepreneurship will make adoption widespread, particularly among small and medium sized enterprises. Sustainability has many benefits to offer, but this study finds that the tradeoff between the benefits and the challenges could present impediments to the widespread implementation of sustainability. For sustainable progress to be driven across UK industries there needs to be collaboration between government, business and consumers.
Impact of Tunnel Fire and High Ground Temperature on the Durability and Thermal Damage Mechanism of Structural Materials
Authors: Lai Minghui
Published: January 2025

The goal of this paper is to investigate how tunnel fires and high temperatures interact to reduce the structural and thermal properties of tunnelling materials, namely concrete and steel. The work looks at microstructural modifications in concrete (pore expansion, micro-cracking, and the chemical degradation of calcium silicate hydrate (C-S-H) that reduce compressive strength and make concrete porous). Oxidation, surface scaling and yield strength degradation under high temperature are studied in steels to evaluate their negative impact on the capacity to carry loads. The paper also incorporates simulated data on how the insulation material performs over time as a result of repeated high-temperature exposure. Such results emphasise the double-edged structural hazard of fire and geothermal heat, which hastens material decomposition, weakens robustness and undermines long-term stability of critical infrastructure. The paper ends with suggestions for new, thermophilic materials to make tunnels safer in extreme conditions
Research on visual fatigue and discomfort of amblyopic people in VR environment
Authors: Fan Guohao
Published: January 2025

The advent of virtual reality (VR) technology has marked a significant leap in immersive experiences, offering unprecedented opportunities in various sectors such as gaming, education, healthcare, and professional training. However, the current VR systems face notable limitations, particularly in terms of visual resolution and field of view, which are inferior to human visual capabilities. This results in reduced visual acuity and clarity, creating a barrier for users with visual impairments or those who require corrective lenses. This overview delves into the visual limitations of VR devices, examining the impact of resolution and field of view on user experience. It discusses the relationship between resolution and image clarity, highlighting the need for advancements in display technology to match or surpass human visual acuity. While VR holds immense potential, it is imperative to address its current limitations and focus on research and development aimed at making VR technology more accessible and comfortable for a wider range of users. The future of VR lies in its ability to integrate multiple sensory modalities, thereby creating a truly inclusive and immersive digital interaction era
The present status of research and related applications of three-dimensional printing in the field of healthcare.
Authors: Xia Chenshu
Published: January 2025

As a new manufacturing technology, 3D printing technology has shown great potential in healthcare. The current study attempts to provide a comprehensive review of the current research landscape regarding the utilization of 3D printing technology in the healthcare sector. Nowadays, three-dimensional printing is applied in tissue engineering to manufacture complex and functionalized tissue scaffolds, hence providing strong support for regenerative medicine and enabling more precise tissue replacement in vivo. In the context of the manufacturing of medical models, the technology can reproduce with great accuracy the diseased organs or structures in question by the patient; in this respect, even bones are included. That gives intuitive physical models for surgical planning, simulation training, thereby improving the success rate of surgery and reducing complications. In the context of bespoke medical devices, 3D printing facilitates personalization of medical devices, such as prosthetics and implants, to a greater degree of fit for individual patient requirements. In the pharmaceutical sector, 3D printing technology is being employed to develop personalised medicines, with the objective of optimising drug release profiles in innovative ways. However, the application of 3D printing in healthcare also encounters obstacles, including the necessity to enhance the biocompatibility of the materials, achieve greater precision in printing, and establish more comprehensive standards and regulations. Nevertheless, the rapid development and wide spread of the use of 3D printing in health cannot be ruled out; more so, it is likely to change the face of healthcare in times to come
Research and application of bionic robotic arms
Authors: Yu Aiwei
Published: January 2025

The research on bionic robotic arms originates from the aspiration to imitate and replicate the structure and functions of the human arm. With advancements in technology, particularly in the rapid development of robotics, sensor technology, and materials science, robust technical support has been provided for the study of bionic robotic arms. Additionally, as people's demands for a higher quality of life increase, so does the need for mechanical devices that can undertake arduous, hazardous, or high-precision tasks in place of humans. Especially in fields such as industrial production, healthcare, and military security, the research and application of bionic robotic arms have become a focal point in today's technological landscape. This article presents a comprehensive overview of the research background, development trajectory, and future prospects of three specific areas: flexible robotic arms for confined space operations, bionic robotic arms for rotorcraft, and bionic jellyfish robotic arms. The aim is to provide theoretical support and technical references for research and engineering applications in related fields
Research on the Aerodynamics of Electric Vehicles
Authors: Zhang Yihan
Published: January 2025

A major contributing factor to the growing severity of the global warming issue is greenhouse gas emissions, of which carbon dioxide from moving cars makes up a significant amount. Therefore, electric vehicles have become the focus of countries to replace conventional internal combustion engine vehicles due to their low emission characteristics. However, the weight of electric vehicles is increased by their reinforced structures and batteries, which reduces their range. In the short run, it is challenging to lower the weight of electric vehicles greatly because of the constraints of battery technology. Thus, lowering air resistance has emerged as a key strategy for extending the range of electric cars. This paper first analyses the reasons why electric vehicles need better aerodynamic design to increase range, including increased environmental demands, battery technology limitations and the high weight of electric vehicles. Next, the causes of air resistance are explored. Finally, the paper discusses ways to design active aerodynamic components to increase or decrease drag under different operating conditions. For example, a front air dam design can reduce the amount of airflow into the underbody, reducing lift and increasing grip. Variable air dams can optimize aerodynamics by automatically adjusting their position according to speed and driving conditions. In conclusion, the aim of this paper is to find and discover ways to optimize the aerodynamic performance of electric vehicles in order to solve the range problem. This paper provides an important theoretical and practical basis for aerodynamic optimization of electric vehicles
Overview of wind power forecasting methods
Authors: Wei Bowen
Published: January 2025

The integration of large-scale wind power into China's power system poses significant challenges to its operational stability. Therefore, accurate wind power output forecasting is crucial for the smooth operation of the grid. This paper begins by analyzing the key factors influencing wind power generation and classifies different forecasting methods. It then summarizes artificial intelligence-based approaches for wind power prediction. Finally, the paper highlights the current state of wind power forecasting in China and discusses potential future research trends in this field
Single Dimension Attention and Mixed Attention
Authors: Qiu Haoran
Published: January 2025

Due to its ability to effectively improve model performance, the attention mechanism has gained widespread adoption across a variety of fields in recent years as neural network models have been developed. Compared to traditional single attention mechanisms, mixed attention offers more diverse prediction dimensions, enabling a more comprehensive data processing approach. This, in turn, significantly improves both prediction accuracy and overall model performance. The main body of this article begins by introducing the single attention mechanism, followed by a detailed explanation of the mixed attention mechanism. It then addresses the current limitations of mixed attention and outlines potential future directions for research. The article seeks to advance the understanding of mixed attention by giving a broad overview of the state of research in this area. In conclusion, the exploration of mixed attention mechanisms holds considerable promise for advancing model performance across a wide range of applications. Future research will likely focus on addressing existing challenges, further unlocking its potential and broadening its scope of use.