bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSESSMENT OF THE ATTITUDES OF FARMERS TOWARDS FRUITS AND VEGETABLE CONSUMPTION AMONG RURAL HOUSEHOLDS IN ZONE D AGRO ECOLOGICAL ZONES OF KOGI STATE, NIGERIA
Authors:   Department of Agricultural Economics and Extension, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria, P.M.B. 1008, Anyigba, P.E Adejo, , S.I Ohiemi, ,   Department of Agricultural Economics and Extension, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria, P.M.B. 1008, Anyigba, E.G Adejo, ,   Department of Agricultural Economics and Extension, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria, P.M.B. 1008, Anyigba, F Ibrahim, ,   Department of Agricultural Economics and Extension, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria, P.M.B. 1008, Anyigba
Published: January 2024

Aim of the study: This study examined farmers' attitudes towards the consumption of fruits and vegetables among rural households. Design/Methodology: primary data were utilized. A total of 160 respondents were chosen at random for the study. Descriptive statistics, binary logit regression, and mean scores were used to analyse the data collected. Findings: According to the findings, the majority of respondents were married men and had secondary education. The most common fruits and vegetables that respondents could find and eat were bananas, onions, and oranges. Most of the respondents get fruits and vegetables from their own gardens. Practical Implications: This study shows that Fruits and vegetables consumption were negatively affected by seasonality, income, unavailability, poor market access, storage facilities, infrastructure facilities, quality, pest and disease and post-harvest losses. Originality/value: The thrust of this work is premised on the fact that there is a current need to evaluate attitudes of farmers toward consumption of fruits and vegetables that are readily available in the study area. It makes immense contribution to the existing literature on the consumption of fruits and vegetables. The research exposes the fact that fruits and vegetables can be transformed into forms that may be conserved, extending their shelf life and, as a result, making it possible to access them year-round and reducing post-harvest losses in the rural consumers. Keywords: Attitudes, Consumption, Fruits and Vegetables, Rural households Paper Type: Research paper
Madness and Feminism: An Analysis of Women's Struggles in Bronte’s Jane Eyre and Kaysen's Girl, Interrupted
Authors: Abdulla Poshya Salar , Ahmed Atta Abdalwahid
Published: January 2024

This paper explores the representation of mad women in literature through the lens of psychoanalytical feminism. It focuses on analyzing the decades-old patterns of female objectification through the male gaze, and their being ruled as ‘mad’ or ‘psychotic’ for demanding equal rights as men. Through the use of psychoanalytic feminism theory, the paper studies the literary works of the late 1800s and early 1900s. And in relation to the birth of the feminist movement; it demonstrates how within the literature of that period, more often than not women were depicted as mentally ill and condemned to mental hospitals and psychotic institutions in order to receive extremely harsh treatments for illnesses that they do not have. The analysis will be performed on two literary works, that have been selected and seen as fitting for the topic, and they are: Jane Eyre by Charlotte Bronte, and Girl, Interrupted by Susanna Kaysen. With the leading characters of these two novels being female, and extracted from society for being ill-fitting, they become the perfect examples for describing the main points of this paper.
An Exploration of the Key Differences between Written and Spoken Language through the Linguistic Evaluation
Authors: Mohammed Berivan Jalal
Published: January 2024

In the evolving landscape of language communication, this research embarks on a systematic exploration of the fundamental disparities between written and spoken language, employing a linguistically driven analysis to illuminate the complex dynamics shaping these two distinct modes of human expression. The present study aims to examine the differences between written and spoken English language through the exploration of various linguistic aspects. This study follows a descriptive approach using a quantitative method to collect data. The questionnaire, as a data collection tool, presents the analysis of the proficiency of university students in English spoken and written language. The participants were from the universities in the city of Sulaymaniyah. The findings related to speaking competence of the study show a significant portion of students (39.7%) express concerns related to teacher evaluation, highlighting a notable divergence in confidence levels. Over 60% of students feel confident expressing themselves, showcasing eagerness to seize opportunities to speak English. Transitioning to English writing competence, half of the students express no fear about their writing being selected for class discussion, and 63.3% regularly engage in composing English compositions. The implications of these findings for language teaching and learning are discussed, and further research in this area is recommended.
Study on the Path of Digital Economy for High-Quality Economic Development
Authors: Zhou Bingjun
Published: January 2024

In recent years, the financial sectors have encountered significant challenges due to the international trade disputes, particularly between China and the United States. Furthermore, the outbreak of the new tube epidemic has further complicated matters for enterprises, impacting their profitability and foreign trade operations. In response, the financial industry has embraced the digital economy as a crucial aspect of its development, supported by advancements in science and technology and favorable national policies. The global economy is now predominately characterized by digitalization, marking the beginning of a new era for human society. The latest information and communication technologies have reached a mature stage of widespread implementation. Recognizing the pivotal role of the digital economy, leading nations worldwide have strategically chosen to seize new opportunities in the technological revolution and industrial transformation by prioritizing digital economic growth. The aim of this paper is to investigate the digital economy and its principal influencing factors. Drawing upon existing theoretical research, the analysis will focus on various dimensions, including the sustainable framework of the digital economy and its contribution to the high-quality development of the overall economy. The paper will examine the impact of the digital economy on economic growth and propose targeted countermeasures across different dimensions.
Prediction And Investigation for U.S. Used Car Prices and Factors Related to Price
Authors: Li Muyuan
Published: January 2024

In contemporary society, as transportation infrastructure continues to advance, a growing number of families opt for car ownership as a means of commuting. However, constrained by budget considerations, many households opt for pre-owned vehicles. This underscores the significance of comprehending the dynamics of the used car market and delving into the factors that influence the pricing of these previously owned automobiles. The author found a data set of used cars in United States on Kaggle and used it for analysis. This dataset contains data about 762,091 used cars scraped from cars.com. The data was collected in Apr, 2023. The research question is how to predict the used car prices and what factors are related to the used car prices. The author uses Linear Regression and Random Forest Regression to predict used car prices. The author found the factors related to the price of used cars as well. The study found that the Random Forest Regression method is more accurate in predicting used car prices. A total of 17 used car factors correlated with used car price. Such as mileage, car age, mpg and so on.
Forecast of Subway Inbound Passenger Flow based on LSTM Model and BP Neural Network
Authors: Jia Jiaming
Published: January 2024

Passenger flow prediction for rail transit is an extremely important research topic. This paper constructs a long-short-term memory model, and proposes a simple optimization method. At the same time this paper constructs a backpropagation neural network model and adjusts the size of the hidden layer through testing. Within 15 days, swipe card data from a randomly chosen tube station in a city is subjected to resampling, normalization, and other data preparation techniques. The processed data is then split into an 80% training set and a 20% test set. The root-mean-square error test analysis is carried out on the three types of models constructed to judge the fitting effect of the data. The conclusion is that the BP neural network model is relatively easy to build a shallow network structure, which is typically less than or equal to 3. Additionally, the data fitting effect outperforms both the LSTM model and the straightforward optimization approach. Especially for passenger flow fluctuations in a short period of time, the BP neural network can have good prediction ability.
The Risk Factor and Exercise Therapy for Knee Osteoarthritis
Authors: Luo Ziwei
Published: January 2024

Knee osteoarthritis (KOA) is one of the most common osteoarthritis. It is a chronic degenerative joint disease, within a year, incident KOA patients frequently move abruptly to advanced-stage radiographic disease. The main treatment program of KOA consist of physical therapy, pharmacotherapy and reconstruction surgery. Currently, there are more and more evident show that exercise therapy can be used a better treatment to help improve the symptom of KOA, release the pain. To evaluate the optimal exercise trial for patients with different degrees, this review mainly summarized the risk factors of KOA, as well as the characteristics of aerobic exercise and resistance training and therapeutic efficacy in different type of exercise for patients with different symptom and degree.
Small molecule drugs for the treatment of rheumatoid arthritis
Authors: Zhang Yichi
Published: January 2024

Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects the joints but can also involve other parts of the body. In 2019, an estimated 18 million people across the globe were living with rheumatoid arthritis (RA). Among these individuals, approximately 13 million experienced varying degrees of severity in their RA symptoms. Rheumatoid arthritis (RA) is a multifaceted systemic autoimmune disorder affected by both genetic predisposition and environmental factors, leading to inflammation in the synovial tissue and dysregulation of the immune system. This dysregulation is driven by abnormal cytokines and immune cells, which significantly contribute to the pathogenesis and advancement of the disease. Presently, treatments for RA mainly concentrate on relieving symptoms and achieving disease remission through the use of disease-modifying antirheumatic drugs (DMARDs). These DMARDs encompass conventional DMARDs (cDMARDs) like methotrexate and targeted DMARDs such as JAK inhibitors. Biologic DMARDs (bDMARDs) have also been used but have many limitations. This review explored the different signaling pathways crucial for RA development, as well as the small-molecule drugs that specifically target these pathways.
Principle of Free-electron Laser and Applications in Medical Research and Lithography
Authors: Zou Yixuan
Published: January 2024

In recent years, as a breakthrough light source technology, free-electron laser (FEL) has the unique advantage of producing coherent radiation with high brightness, high energy, good directivity and excellent monochromaticity. With this in mind, this study will systematical discuss the historical development of FEL technology, from Einstein's laser theory to Dr. Maiman's first commercial laser, as well as the birth and evolution of FEL. To be specific, the basic principles and construction of FEL technology will be discussed in detail, including key components such as electron sources, electron accelerators, and oscillators. The application of free electron laser (FEL) technology in medicine and lithography will also be demonstrated in this paper. According to the analysis, the current limitations of the state-of-art facilities as well as the future development trends and improvements for FEL system will be clarified based on the evaluations. Overall, these results shed light on guiding further exploration of FEL techniques.
An Empirical Study on the Relationship between Economic Growth and Public Welfare
Authors: Dang Xinyuan
Published: January 2024

This paper investigates the relationship between economic growth and public welfare, where the criticality of this study is to assist governments in issuing policies regarding economic growth to maximise the prosperity and welfare in particular countries. This study adopts a pooled ordinary least squares (OLS) analysis, a regression with year fixed effects as well as a regression with both year fixed effects and country fixed effects, proposing that economic growth has an effect on social well-being. The aspects of welfare researched on are comprised of income inequality, crime severity, national educational level, national healthcare level and carbon emission level, and standardisation method is applied to unify the five welfare variables. In the pooled OLS, a positive coefficient is found with a p-value less than 0.001, while the coefficients perceive an opposite sign with p-values both higher than 0.1 in the latter two regressions. Thus, the growth effect on welfare is significant for the first regression and not significant for the latter two regressions, manifesting that country-specific and year-specific characteristics strongly influence the results. In consideration of the results and analyses of this research, in an attempt to facilitate public well-being, governments should consider the factors specific to countries and years when deciding on economic policies rather than unconditionally prioritise the pursuit of growth in economies.
Revolution of Agriculture: Harnessing the Power of Drones
Authors: Liu Ziqi
Published: January 2024

The advent of drone technology has fundamentally altered the way agricultural operations are carried out. There is a significant opportunity for drones, which are unmanned aerial vehicles equipped with sophisticated imaging and sensing capabilities, to revolutionize many different facets of agriculture. These airborne devices are capable of capturing high-resolution pictures of crops, which provides farmers with the ability to monitor plant health and determine the presence of diseases, nutritional deficits, and insect infestations. Precision agriculture is made easier by drones because to the excellent mapping data they provide, which can be used for things like soil analysis, topography mapping, and yield estimate. In addition, drones may be used to spray crops in an effective and targeted manner, which can both reduce the amount of chemicals used and ensure that they are applied accurately. Drones have the ability to monitor and manage crops autonomously, performing activities like as weed identification and removal, pollination, and yield prediction as automation and artificial intelligence continue to advance.
Diagnosis and Treatment of Athletic Pubalgia
Authors: Ji Zhengyuan
Published: January 2024

Athletic palagia, frequently termed as sports hernia or core muscle injury, is a prevailing cause of groin discomfort in athletes. Originating from potentially multifaceted interactions in the anterior pelvic region, its diagnosis is convoluted, owing to overlapping symptoms with other conditions and the absence of definitive diagnostic tools. Treatment approaches oscillate between conservative and operative modalities. Conservative treatment typically constitutes rest, physical therapy, and medication, while operative treatment comprises techniques like open, laparoscopic, and endoscopic repairs. Efficacy of treatments can significantly be modulated by personalized rehabilitation protocols. Recent studies indicate that while both treatments can be effective, surgery might facilitate a marginally quicker return to sports. Continued research aims at refining the understanding of athletic palagia, its treatment, and rehabilitation, underscoring the need for standardized measures, randomized trials, exploration of etiological factors, and enhanced preventative strategies. This paper provides an exhaustive overview of current methods, challenges, and prospective avenues in athletic palagia management.
Development of China's Real Economy in the Context of the COVID-19 Epidemic
Authors: Zhang Xiangruyang , Zhang Yiyan
Published: January 2024

In 2020, China broke out a serious and aggressive COVID-19. Since then, China has entered a long and severe period of epidemic resistance. What is more desperate is that there is a difficult period of epidemic prevention after the period of epidemic resistance. Therefore, specific damage the COVID-19 outbreak did to China's real economy as well as probable developments in the future. This article analyzes pertinent data to describe the specific damage performance of China's real economy, synthesizes and fills in the gaps with previous research literature, and employs charts to more intuitively reflect the changes in real economy daily data during the COVID-19 pandemic. This article will also incorporate the valuable findings of previous generations and discuss and prospect the parts that have not been studied by previous generations, and present feasible solutions. This article has important practical significance in revealing the impact of the epidemic on enterprise operations, economic conditions, and future development, providing decision-making basis for the government and enterprises, and promoting sustainable economic and social development.
Unlocking The Potential of Balanced Ternary Chips: A Paradigm Shift in Computing
Authors: Luo Wenze
Published: January 2024

The current landscape of digital computing predominantly relies on the binary system, limited to representing information using only 0 and 1. Nevertheless, the relentless progression in chip design and manufacturing technology has pushed traditional binary chips to the confines of Moore's Law. To transcend these limitations, alternative computing paradigms are being explored. Among these, balanced ternary chips have emerged as a disruptive concept, offering a fresh perspective. This paper delves into the fundamental principles of ternary computing, elucidates the reasons underpinning its adoption, and discusses chip design considerations. Additionally, it provides insights into the real-world applications of ternary chips, highlighting both research and practical cases. Furthermore, the paper explores the challenges currently faced by balanced ternary computing and outlines potential directions for future development. In conclusion, this research not only broadens our understanding of ternary computing but also underscores its significance in reshaping the landscape of computing technology, potentially overcoming the limitations of binary systems, and ushering in a new era of computational efficiency.
The Effects of Technology and Social Media Overuse on Physical Health and Academic Performance
Authors: Zhang Zhixin
Published: January 2024

As the development of technology has grown rapidly in the last decade, technology devices help our daily lives to become more convenient. While technology has clearly transformed many aspects of our lives, an over-reliance on screens, social media, and digital devices has led to several side effects that require our attention. Over usage of technology devices could lead to Smart device addiction (SDA), SDA become a common phenomenon in society, especially for young people. This literary review included multiple studies from 2019 to 2023 about the side effects of social media addiction and unlimited screen time usage on brain health and academic performance. The finding shows that people with a higher screen time usage tend to get ADHD than those people with a lower screen time usage, furthermore, social media addiction and high screen time usage can also lead to poor sleep quality and decrement in academic performance. Younger people should value the side effects of social media and smart device addiction and prevent SDA (Smart device addiction).
Research on the Layout and Path of China's Education Development Under the Background of the Belt and Road Initiative
Authors: Yao Runze
Published: January 2024

According to research, China's effect on global academic education is already changing the way things are done around the world. 2020 BRI’s key tenet is higher education. China is working hard to develop higher education levels at home and abroad and is committed to improving the international reputation of domestic universities and attracting and cultivating more research-oriented and professional talents. In this article, we introduce the achievements and development plans of education development regarding the Belt and Road Initiative. There are two main aspects: one is cultural education, and the other is cultivating specific technical talents for partner countries and enterprises that cooperate in the BRI. Not only that, the article also summarizes the difficulties and challenges of China's educational development in the context of the Belt and Road Initiative, and the author also puts forward corresponding suggestions. The author underlines that because China's educational system is still in its infancy, generalizations are challenging. However, through the educational development efforts of China and partner countries, we can see that one fact that can define the development trend of global higher education is that China's significance lies in supporting a huge multi-polar system.
Study of the Application of CAR-T Cell Therapy in Acute Lymphocytic Leukemia
Authors: Zhao Yushi
Published: January 2024

Currently, the acute lymphocytic leukemia (ALL), which is a severe blood cancer that mostly found in children, can applied with the most updated CAR-T cell therapy for the cure. ALL incidence rate is around fifteen in one hundred thousand people, which is just lower than the incidence rate of Chronic Lymphocytic Leukemia. And the ALL occupied one-fifth of the leukemia cases. With the application of CAR-T cell therapy, ALL can be cured with higher long-term survival rate. But the CAR-T cell therapy brings some negative impact towards patient body like Cytokine Release Syndrome (CRS). The limitations and adverse actions of the therapy needs to be overcome or minimized to achieve the best prospect of treating patients. In this paper, the first part will briefly introduce present situations of ALL and the CAR-T cell therapy, and the following parts will explain mechanism of CAR-T cell therapy, limitations of the therapy on this disease, and future development of the therapy.
Development and Prospects of Terahertz Photodetector
Authors: Li Tianyu
Published: January 2024

Terahertz photodetectors show great potential in the fields of optical communication, security inspection, and nondestructive testing. This paper firstly outlines the properties of terahertz waves; further describes the detection mechanism and preparation materials; further discusses its applications in security inspection imaging through packaging materials, indoor local area wireless communication, high speed local area communication, space communication and confidential communication; finally summarizes and outlooks, the possible development directions of terahertz photodetectors are to study new materials with excellent optoelectronic properties at room temperature, to combine different sizes or different kinds of materials combined, the use of antennas to improve the coupling efficiency of terahertz radiation, and the design of new device structures. It can be foreseen that terahertz technology will have a profound impact on science and technology, economy and national security.
The Impact of the Russian-Ukrainian Conflict on the Hegemonic Position of the Dollar
Authors: Xu Zhifeng
Published: January 2024

After the outbreak of the Russian-Ukrainian conflict, the Western countries led by Europe and the United States imposed unprecedentedly severe sanctions on Russia, and the rise in Russian energy and food prices led to imported inflation in the European region, while the European Central Bank adopted a negative monetary policy, coupled with the eurozone debt crisis. Countries around the world have gradually realized that there are some problems with the United States as the central country of the international monetary system, and have had to take measures to reduce their dependence on the US dollar in order to maintain their own economic security. In this context, this paper studies and collates the current situation of the world currency under the hegemony of the US dollar, as well as the impact of the status of the US dollar and its causes. Meanwhile, on this basis, it briefly analyses the new trends of the international monetary system in the future.
Tadao Ando’s Application of Fair-Faced Concrete Building Materials
Authors: Yu Jiatian
Published: January 2024

In the world of architecture, fair-faced concrete has evolved from a utilitarian building material to a symbol of design innovation and aesthetic excellence. Tadao Ando, a renowned architect, has played a pivotal role in showcasing the possibilities and beauty of fair-faced concrete in his architectural works. The use and appreciation of fair-faced concrete by Tadao Ando have permanently altered the architectural environment. As a result of his imaginative use of the material, a new generation of architects and designers are today exploring the boundless potential of fair-faced concrete to create environments that are not only functional but also visually beautiful and profoundly connected to their surroundings. Ando's imaginative work has revolutionized modern architecture and raised the status of fair-faced concrete as a medium for aesthetic expression.
Characteristics and Applications of Non-destructive Testing Technology in Bridge Engineering
Authors: Zhang Chenyu
Published: January 2024

The construction of bridge projects can promote economic exchanges between different regions and provide convenient transportation for people. The application of non-destructive testing technology has effectively improved the overall quality of bridge inspection work, providing a reliable guarantee for the development of the transportation industry. This paper elaborates on the specific principles, characteristics, and research status of ultrasonic testing technology, three-dimensional laser scanning technology, and radiographic testing technology in practical operations, and comprehensively compares the advantages and disadvantages of the three non-destructive testing technologies in bridge engineering. Ultrasonic testing technology has simple operation and low cost, but the detection results are not intuitive enough; three-dimensional laser scanning technology has high accuracy and good digital compatibility, but its cost is relatively high; Radiographic testing technology has a wide range of applications, and the detection results are relatively intuitive, but the detection efficiency is low. Finally, it is discussed that the current difficulties in using non-destructive testing technology in bridge engineering lie in high costs and inadequate integration. It is proposed to incorporate non-destructive testing technology into bridge design planning to form a more complete system.
The Scope of Application of Power Decoupling Technology and Its Evolution
Authors: Zhang Yankai
Published: January 2024

As energy consumption worldwide continues to escalate, the gap between energy supply and demand is becoming alarmingly evident. This disparity, combined with the mounting environmental threats impacting production and human existence, intensifies the energy challenges our nation confronts. At the heart of addressing these issues is the imperative to maximize energy efficiency. Within the realm of power electronics, the topic of power decoupling has emerged as a pivotal area of research. This paper delves into the application of power decoupling in power electronics, offering a comprehensive analysis of its characteristics and applicability. Tracing its evolutionary trajectory, the paper systematically explores the historical progression of power decoupling technology. It further segments the technology, elucidating its merits, limitations, and mechanisms for enhancement. By aggregating data, the study categorizes various inverters and contrasts their roles in the domain of power decoupling. Subsequently, the discourse distinguishes between active and reactive power decoupling, providing prevalent examples of the former. The paper concludes by affirming the trajectory of power decoupling towards increased cleanliness and efficiency. The emphasis on high-precision and high-efficiency apparatuses heralds the anticipated future direction of this field.
Research On Commodity Pricing and Replenishment Based on Optimization and Forecasting Algorithm
Authors: Pan Bin , Wang Teng
Published: January 2024

With the rapid development of China's commodity economy and people's growing demand for a better life, people's demand for high-quality vegetable products is gradually in-creasing, so Commodity hypermarket needs to ensure that the market's demand for richness and supply of various vegetables is met with a low loss rate. In this paper, the total replenishment amount and pricing strategy of Commodity hypermarket are analyzed and solved based on GWO-BiLSTM algorithm, aiming at providing more effective replenishment and pricing strategies for Commodity hypermarket industry to meet market demand and maximize economic benefits. The value of Pearson correlation coefficient is used to intuitively understand the correlation between sales volume and other factors, and cosine similarity is selected as the clustering method by cluster analysis, which performs well on high-dimensional data sets. The results obtained by the bidirectional long-term and short-term memory network method based on grey wolf optimization have the characteristics of high efficiency and stable output, which can effectively improve the yield. In addition, this paper also discusses the internal relationship and interaction mechanism between the total replenishment amount and pricing strategy of Commodity hypermarket, and further deepens the understanding of the importance of these two factors in the operation of Commodity hypermarket. The research conclusion has guiding significance for Commodity hypermarket to formulate a reasonable replenishment plan and pricing strategy, and is helpful to improve Commodity hypermarket's performance, meet customer needs and achieve sustainable development. At the same time, the research method of this paper can also provide reference for other retail industries.
Analyze the Importance of Animal Mental Health - Take Captive Animals as an Example
Authors: Liang Yue
Published: January 2024

Animals, like humans, can also experience mental health problems, a viewpoint that has been previously overlooked or denied. In the context of societal development, there is a growing trend of keeping animals in captivity for various reasons. However, regrettably, there have been minimal efforts made towards enhancing the mental well-being of these captive animals. This essay aims to comprehensively explore the significance of animal mental health and its profound impact on both animal welfare and different aspects of human society. Furthermore, it provides compelling scientific justifications for prioritizing the promotion of animal mental health, with a specific focus on the detrimental effects of captivity on their psychological well-being. The essay also emphasizes the crucial role of animal mental health in fostering harmonious coexistence between humans and animals, promoting environmental conservation, and driving social progress. By shedding light on these interconnected domains, this essay aims to contribute to a more holistic understanding of the importance of animal mental health and advocate for its prioritization in various societal, ethical, and scientific contexts.
Theory And Application of Gallium Nitride Based Dilute Magnetic Semiconductors
Authors: Chen Sheng
Published: January 2024

Semiconductors are key components for the development of Industry 4.0 innovative technologies such as consumer electronics, data centers, intelligent new energy vehicles, and aerospace technology. Academic research on semiconductors can not only promote the development of electronics and electromagnetics, but also meet the demand for high-performance semiconductors in technological development. This paper provides a review of the theoretical and experimental research results on gallium nitride based diluted magnetic semiconductors, and prospects the future application prospects of gallium nitride based diluted magnetic semiconductors. This paper found that the theoretical prediction of gallium nitride based diluted magnetic semiconductors is generally believed to have good temperature conditions and advantages in thermal conductivity, electron mobility, breakdown voltage, and other aspects. The current experimental results also confirm that gallium nitride based diluted magnetic semiconductors can improve the limitations of semiconductors under room temperature conditions. This article believes that this semiconductor material has broad development potential in fields such as intelligent vehicles, aerospace, and cloud computing.
Hedging Strategies with Derivatives after 2020
Authors: Pan Yuzhe
Published: January 2024

This paper examines the changes in the futures market and how Chinese companies have hedged in recent years. As is known to all, the world has experienced lots of events, such as the COVID-19 pandemic, the Ukraine Conflict, the economic recession, and the rising interest rate in the U.S. Under the risky circumstances, the foreign exchange market and commodity futures market have shown a larger volatility. During times of global economic turmoil, the investors in the financial markets are seeking opportunities to protect their investment portfolios and assets. Historically, the futures market can be seen as a safe haven for funds, mitigating losses caused by fluctuations in stock or commodity prices through proper hedging strategies. This paper analyses what the Chinese futures and spot markets are like and how Chinese companies use hedging tools to lock profits. Then, the paper gives suggestions and prospects for futures hedging and the development of markets.
Research on Optimization of 3D Printing Model Based on Deep Learning
Authors: Lin Yidong
Published: January 2024

3D printing is a process of creating three-dimensional physical objects through a series of layering techniques. It is a relatively new technology, but it has already brought a lot of innovation and change to manufacturing and other fields. This paper introduces the basic mechanism of 3D printer and summarizes several advanced 3D printing model optimization methods based on deep learning and their application scenarios. The proposed approach involves training a deep neural network on a large dataset of 3D models and their corresponding printing parameters. The trained model is then used to detect printing parameters of different 3D models, such as lattice defect detection, laser temperature detection, and fault detection. This method improves printing quality and reduces printing time and material consumption. The experimental results show that these methods are superior to traditional methods and achieve a good balance between print quality and efficiency. The proposed method has great application potential in various fields such as manufacturing, prototyping, and art design.
Analysis On How the Londoner Hotel in Macau Responds to Public Crisis Events and Shapes Marketing Resilience Through Case Studies
Authors: Wang Ziyue
Published: January 2024

After the outbreak of COVID-19, the global service industry has been greatly damaged. In particular, the hotel industry, as an important component of the service industry, has encountered an unprecedented dilemma. In recent years, China has attached great importance to the development of the tertiary industry, so the development of the hotel industry has shown a positive trend before the outbreak of the epidemic. Both the scale and number of hotels have been greatly improved. In addition, the hotel industry is more sensitive to public events, so in the current era of frequent public crises, how the hotel industry can improve marketing resilience and better respond to emergencies has become a problem that must be considered and paid attention to. By using a case study, the Londoner Hotel in Macau is the main case to analyze the changes in marketing strategies made in response to the COVID-19 epidemic. Its marketing strategy not only enables the hotel to complete the challenges brought by the COVID-19 epidemic, but also promotes the transformation and upgrading of its products, enhances its marketing resilience, improves its internal ability to respond to public crisis events, and promotes its sustainable development. This study integrates its strategies to provide feasible ideas and reference for other hotels to shape marketing resilience, and bring new inspiration to the sustainable development of the hotel industry.
Comparative Analysis of Chinese New Energy Vehicle Enterprises
Authors: Li Yuanzhong
Published: January 2024

As new energy vehicle or specifically electric vehicle has become the popular trend of the automobile market, the competition of more advanced technology that provides more and more advantages to different company. Based on the competitive market of new energy vehicle, the paper mostly focuses on the comparison of Tesla and BYD (Build Your Dream) on field of autopilot, battery life and safety issue within the Chinese automobile market. This paper compares and contrast the status quo and development of Tesla and BYD in Chinese market and predicts possible future development of these companies. This study has important practical significance for the future development of Tesla and BYD enterprises, and has reference value for the future development of China's new energy industry.
Comparative Analysis of Sic and Gan: Third-Generation Semiconductor Materials
Authors: Yu Qingyuan
Published: January 2024

This article delves into a comprehensive comparative analysis of two prominent third-generation semiconductor materials, silicon carbide (SiC) and gallium nitride (GaN). It explores their foundational theories, practical applications, future prospects, and the hurdles they face in the realm of materials science. SiC is characterized by its impressive thermal conductivity and a wide bandgap, while GaN showcases remarkable electron mobility and high electron saturation velocity. Both materials have demonstrated outstanding capabilities in high-temperature, high-frequency, and high-power electronic devices, finding utility in power conversion, automotive systems, and optoelectronics. Looking forward, SiC and GaN hold tremendous potential in emerging fields such as new energy sources, advanced optoelectronic devices, and semiconductor packaging. Nevertheless, they encounter challenges, including manufacturing costs and the control of crystal defects. In conclusion, these third-generation semiconductors offer extensive possibilities across various domains, although overcoming significant challenges is essential for their widespread integration.
Principle and Application of Biophotonic Chips
Authors: Du Pei , Lin Ruikang , Yang Dingyi , Yang Jinlin
Published: January 2024

Contemporarily, biophotonic chips have garnered significant attention from researchers due to their strong immunity to electromagnetic interference, high sensitivity, rapid response rate, and relatively simple structural design. They have found extensive applications in fields such as medical diagnosis, food quality and safety testing, environmental monitoring, and national security. This article provides an overview of the development history, fundamental principles, applications, and fabrication processes of biophotonic chips. The earliest development of biophotonic chips can be traced back to the end of the 20th century. The basic principle involves the interaction of light, utilizing technologies like photonic crystals, surface plasmon resonance, and fluorescence spectroscopy to achieve the detection and analysis of biological molecules. The article briefly describes the fabrication process of biophotonic chips, which involves intricate techniques such as photolithography and electron beam exposure. Furthermore, it analyzes and discusses their widespread applications in medical diagnosis, drug development, and environmental monitoring, among other fields. Lastly, the study evaluates the key challenges present in biophotonic chips and provides an analysis of their future development prospects.
Design of lower limb fitness exoskeleton based on ergonomics
Authors: Duan Lan , Bao Chengwei , Li Dongwen , Qian Xueming
Published: January 2024

The lower limb fitness exoskeleton can overcome the load and reach the exercise effect by human moving arms and legs. In this paper, the structural features of human lower limb joints, human gait, and degrees of freedom of lower limbs are analyzed from the perspective of bionics, and a lower limb fitness exoskeleton structure is designed by combining the operating principle and main structural components of the lower limb exoskeleton. The modeling and calibration of the human body and lower limb fitness exoskeleton are completed by Solidworks and ANSYS. Developing the count recorder could detect human movement information as well as remind people to prevent over-exercising.
Research on the Passenger Flow Distribution Mining of Urban Rail Transit Based on Clustering Algorithm: Taking Beijing as an Instance
Authors: Ma Jiageng , Li Bingxin , Liu Yingqi
Published: January 2024

Based on the principal component analysis and k-means cluster analysis, the paper classified and analyzed the 310 stations of the Beijing subway. According to data such as the number of people entering and leaving each station of the Beijing Metro, the line to which the station belongs, and whether it is a transfer station by period. We selected a total of 52-time variables to participate in the PCA analysis and finally got two principal components and named them principal component 1 and principal component 2. Subsequently, we clustered the Principal Component 1 and Principal Component 2 scores of 310 sites and the latitude and longitude of the sites in k-means clustering. According to the elbow method and the contour coefficient, the final clustering results into five clusters are classified. The five clusters of stations have strong regional characteristics, and the stations of each type are more concentrated. The results of principal component analysis and cluster analysis have passed the test and have good convincing power. Finally, we conduct an in-depth analysis of the two categories with the most stations. Cluster 4 contains the largest number of stations, located in the core area of Beijing's urban area, and the passenger flow is significantly higher than other areas. Cluster 1 contains the second largest number of stations, mainly including Fengtai District. The region's economy is underdeveloped, the passenger flow is small, and there are peak and trough periods. This paper performs cluster analysis on high-dimensional data. The principal component analysis is used to reduce the dimension of high-dimensional data and retain the time and space dimensions required for clustering. The final result was in line with expectations. It is improved the shortcomings of k-means clustering for high-dimensional data. This article analyzes the daily passenger flow in Beijing, and the analysis results may be random. In the subsequent analysis, more data can be added to make the analysis more accurate.
Optimizing Vegetable Commodity Pricing and Replenishment: An Integration of ARIMA and Nonlinear Programming Approaches
Authors: Liu Haoyu , Hu Rui , Qiu Guocan
Published: January 2024

Automated pricing and replenishment decision-making for vegetable items in supermarkets has attracted the attention of many operators and become a trend, and has become an indispensable part of supermarkets for many operators. In order to develop reliable automatic pricing and replenishment decisions for vegetable products, this paper firstly uses logistic regression analysis to obtain the regression equations of total sales and cost-plus pricing for each vegetable category, and then uses the ARIMA time-series forecasting model to forecast the average wholesale prices of vegetable categories for the next 7 days. After selecting the average wholesale price and pricing-sales volume model for each vegetable category, a nonlinear programming model is constructed to solve the total daily replenishment and pricing strategy for each vegetable category in the coming week. Considering the constraints of limited merchandising categories, this paper introduces three constraints: the number of saleable items, the minimum display volume and the selling space, and estimates the future wholesale price by using the historical average to make a prediction. The optimal replenishment quantity and price are derived by combining the nonlinear programming model and guided by the constraint function.
Financial and Risk Analysis of Kontour Medical
Authors: Zhu Yuchen
Published: January 2024

Orthopedic medical devices are one of the largest sub industries in the medical device industry, and orthopedic implants are the most important category of orthopedic devices, usually devices and materials that are partially or completely implanted in the human body after surgery or surgery to replace, support, locate, or repair tissues such as bones, joints, and cartilage. This article introduces situation of medical device industry and Kontour Medical Co., LTD (Kontour Medical). By analyzing the key financial data of Kontour Medical and comparing the data with other similar medical device companies, including the income statement, balance sheet. In addition, the profitability, liquidity, solvency and operating performance of the Kontour Medical were analyzed. This paper evaluated the performance and the value of Kontour Medical. According to the dynamic change of the medical device industry, it also has given some comments and suggestions to the investors, especially about the government centralized procurements.
Population Segmentation and Recommendations Based on Disease Risk and Preventive Awareness
Authors: Zheng Xinzhe , Cai Jinzhu , Zhou Chaomin , Lv Yuehan , Wang Chenxu
Published: January 2024

Chronic non-communicable diseases represent a major challenge in the global healthcare landscape. To effectively prevent and manage these diseases, understanding the disease risk and awareness of preventive measures among community residents is of paramount importance. This study collected questionnaire data and conducted comprehensive analysis. This paper’s objective was to categorize residents based on multidimensional factors and provide personalized health recommendations. This paper achieved this by establishing a three-dimensional mapping model and employing the K-Medoids clustering algorithm to classify samples into four categories. Based on these categories, the paper offered diverse health advice encompassing dietary adjustments, exercise habits, regular check-ups, smoking cessation, and alcohol restriction. These recommendations aim to reduce disease risk and effectively manage chronic non-communicable diseases.