bluuebunny/crossref_metadata_2025 huggingface dataset:
Canada's Economic Situation and Policy Analysis in the Current Inflation
Authors: Feng Chuyu
Published: July 2023

Since 2022, the global energy prices have been increasing, leading to a rise in the price index. This has resulted in inflationary pressures in major economies such as Canada, leading national governments to implement interest rate hikes as a coping strategy. This paper focuses on the Canadian economy and analyzes its inflation performance, strategies for raising interest rates, the price level, and the labor market. Using economic data from Canada, the Commonwealth of Nations, and past literature, the study finds that Canada's inflation performance is not satisfactory. The paper argues that inflation cannot be fundamentally curbed by using a single monetary policy instrument, such as interest rate hikes, and that an effective economic response requires a combination of monetary and fiscal policies. Additionally, the paper suggests that Canada should develop and improve industrial policies consistent with its national endowments, labor and immigration policies that match industrial policies, and trade policies that are effective in fighting inflation.
Fintech and Digital Transformation: Accelerating Innovation in Financial Services
Authors: Guo Ruihan
Published: July 2023

This paper focuses on the progress made in the field of financial technology as a result of digital development. The study highlights several major areas of financial technology and analyzes its risk level and future prospects. The research indicates that the areas of online payment and P2P lending are advancing successfully, and their respective legal and regulatory systems are relatively well-established. However, the development of Robo-Advisor and Blockchain faces significant challenges due to uncertainty and a lack of clarity regarding regulatory frameworks. The emergence of ChatGPT has disrupted the traditional understanding of Robo-Advisor, presenting new opportunities for development. On the other hand, the development of products based on blockchain technology poses a great risk as it is challenging to accurately determine their intrinsic value. Overall, digital development has greatly impacted the financial technology industry, and the study emphasizes the importance of understanding the risks associated with new technologies. The research recommends that regulators should work towards creating clear and comprehensive regulatory frameworks to promote responsible innovation in the financial technology sector.
Investment Strategies in the North American Market in the Post-Epidemic Era
Authors: Kong Leyi
Published: July 2023

This paper delves into the intricacies of investing in the North American market, particularly in the aftermath of the Covid-19 pandemic. While the pandemic has caused significant disruption and uncertainty across the global economy, it has also created new opportunities for investors in North America. The paper highlights sectors such as healthcare biotechnology, digital services, and e-commerce as offering significant growth potential due to increased adoption of digital technologies and heightened awareness of ESG factors. However, it also acknowledges the risks posed by geopolitical tensions, trade disputes, and industry chain issues. To succeed in the North American market, investors must adopt successful investment strategies that take into account these risks and opportunities. This may involve staying informed about political influences and economic conditions, building partnerships with local businesses and industry associations, and incorporating an assessment of social responsibility into investment decisions. Ultimately, the key to achieving sustainable growth in the North American market is to have a thorough understanding of market trends and challenges and to implement effective investment strategies that mitigate risks and capitalize on opportunities. By doing so, investors can achieve their investment objectives and position themselves for long-term success in a rapidly evolving economic landscape.
The Impact of Key Factors on the Success of Venture Capital Investment
Authors: Zhou Zhuotao
Published: July 2023

This article analyzes the key factors that affect the investment of venture capitalists: the founding team, the startup's traction, the valuation, the deal structure, and the identity of current investors. Then we analyze the impact of various factors on investment decisions. The research results of this paper indicate that venture capitalists consider multiple factors when investing. Although all five factors in the paper are important, the founding team is the key factor determining the success of the investment. The startup's traction is also important when making the deal selection. The valuation factor will determine how much money the venture capitalist will invest. The deal structure can protect venture capitalists from extreme loss. The identity of current investors is less important but choosing a startup based on the identity of existing investors is also an effective strategy. Together, this paper shows how venture capitalists can choose startups from these five factors. Also, startups can use these results to better understand how they are valued by venture capitalists, how they attract venture capital, and what issues they should pay attention to when negotiating terms.
The Impact of Behavioral Bias on Investment Decision-Making
Authors: Xu Shurui
Published: July 2023

Behavioral finance is an emerging discipline that integrates theories from psychology with finance. Robert Shiller, a professor of economics at Yale University, is the originator of behavioral finance and was awarded the Nobel Prize in economics in 2013 for his successful prediction of the Internet bubble crisis and the subprime mortgage crisis. The major difference between behavioral finance and traditional finance is the difference in the underlying assumptions of the two. Behavioral finance attempts to explain how decision-makers make financial decisions in real life, and why their decisions may not be rational every time. This is in contrast to many traditional theories that assume that investors make rational decisions. Behavioral finance suggests that individuals may not make decisions based on rational analysis of all information. This may cause the stock prices of individual companies to deviate from a fair price and cause the stock prices of the entire market to collectively be at very high or very low levels over a period of time. Therefore, the different behaviors and differences that people generate when investing has an important impact on their investment decisions. This paper focuses on promoting a deeper understanding of behavioral finance and helping people to better analyze their investment decisions by reviewing the four more common types of behavioral finance: loss aversion, noise trading, momentum effect, and the endowment effect.
Research on the Path of Chinese Pharmaceutical Enterprises Going Public based on the Comprehensive Registration System
Authors: Chen Lixin
Published: July 2023

Due to the characteristics of high investment, high risk, and high return in pharmaceutical enterprises, pharmaceutical enterprises have different capital requirements from other industries. At the same time, China's pharmaceutical industry has a late start and rapid development therefore, there are few innovative projects but mainly imitation, leading to characteristics of repetitive production and insufficient stamina, as well as imperfect enterprise systems, and a relative lack of financing channels. With the recent domestic stock issuance registration system, the difficulty in issuing finance for pharmaceutical enterprises is expected to be resolved. This article reviews the financing history of pharmaceutical enterprises in China, compares the characteristics and listing conditions of A-share, Hong Kong share, and US share registration systems, and proposes relevant measures to promote the rapid development of pharmaceutical enterprises in China by using the capital market.
Study on the Construction of Hong Kong International Financial Center Based on SWOT Analysis
Authors: Jin Xuantong
Published: July 2023

Hong Kong International Financial Center, as a world-class financial center. It will have a significant impact on the economy of China and the world. The Hong Kong economy has solved many problems for the society and successfully withstood the Asian financial crisis and the impact of being an international financial center. This paper will analyze and discuss the advantages, disadvantages, opportunities and challenges of the construction of Hong Kong international financial center in the form of SWOT. And put forward suggestions and prospects. It summarizes the advantages brought by Hong Kong in terms of regulations and financial markets to Hong Kong as an international financial center and maintains its position as an international financial center by taking advantage of the characteristics of diversification, moderate regulation and active trading. It also analyzes the disadvantages of the international financial center of Hong Kong in other cases and its inability to realize its dominant position in the market. At the same time, I hope it can provide ideas and enlightenment for those who are interested in this article and finance.
Basis Risk Analysis and Countermeasures for Enterprises’ Commodity Price Risk Management by Using Futures Hedging Strategy -- A Case Study of “Metallgesellschaft” Hedging Failure
Authors: Xu Ke
Published: July 2023

As the international economic situation was risingly unsteady and turbulent, many enterprises have come up to make use of the futures market to minimize commodity price fluctuation risks, however, not a few suffering massively high hedging losses. These events has showed that numbers of enterprises had a lack of incisivel comprehension of the basis risk of hedging and made no fully preparation on how to control and erode losses in time as soon as the basis transfers deviated from expection. This article intends to make an in-depth discussion on basis risk through the analysis of the well-known huge losses case of the Metallgesellschaft and put forward effective and logical countermeasures, for enterprises grasping potently of basic risk resisting financial damage. In short, in order to lesson the high financial loss which exceeds the expectation caused by the unusual basis, the enterprises must establish a reasonable and supportive hedging risk assessment and optimal protective stop-loss scheme.
The Effects of the Application of Corporate Financial Derivatives on the Operational Efficiency of Enterprises -- the Case of Southwest Airlines
Authors: Li Xiner
Published: July 2023

In a situation where product prices fluctuate freely and international trade is exchanged smoothly, financial derivatives trading is essential for investors to lower risk. Due to the changing risk appetite of investors, financial derivatives trading has taken on different characteristics and the scale of trading has grown rapidly. This paper focuses on the impact of the trend of economic globalization, the majority of companies will use economic and financial derivatives to improve the operational efficiency of company. Using the case of the Southwest Airlines for analysis, an examination of the risks of financial derivatives from three perspectives, as well as recommendations on these three issues. The analysis of these issues provides a clearer understanding of the risks that companies can encounter when using financial derivatives and how to against with such risks. When faced with external risks which are difficult to budget for, there are risk-averse approaches that companies can use and remedial measures could be taken after the risks have occurred. After analyzing for these issues, it is concluded that the effects of the application of corporate financial derivatives on the operational efficiency of enterprises.
The Case Study Used to Analyze How to Use Financial Derivative to Hedge Foreign Exchange Risk
Authors: Zhong Manqi
Published: July 2023

In recent years, the economic cooperation between China and the rest of the world has gradually expanded, and the volume of import and export has been rising year after year. Foreign trade has become an important source of benefits for many enterprises. And after the reform of Chinese exchange rate system in 2015, the RMB exchange rate changes more frequently and the range is relatively large. In this context, many Chinese enterprises with foreign trade are facing the pressure brought by exchange rate fluctuations. This means that if an enterprise fails to reasonably manage foreign exchange risks, it may suffer serious exchange losses and thus affect the normal operation of the company. This paper taking China Southern Airlines Group Co., Ltd. and Fuyao Glass Industry Group Co., Ltd. as examples to analyzes how these two enterprises use financial derivatives to hedge foreign exchange risks to help them reduce losses or increase profits and evaluate the hedging effect of these financial derivatives. At the end of the article, the author also puts forward some relevant suggestions.
Analysis of the Jet Fuel Price Risk Exposure and Optimal Hedging in the Airline Industry
Authors: Yin Ziying
Published: July 2023

As a classic industry with high competitiveness, the airline companies are constantly exposed to external risks like oil price fluctuations. The volatility of the oil market as well as the global evolving unpredictable situations are putting uncertain adverse pressure on their financial performance and operation. It is without doubt that jet fuel price is remained as always, a hot spot of the insiders’ communication. The nature of the industry, as well as the interactions between various market players and evolving international changes make the risk analysis and management an essential practice. This paper provides an analysis of the airline industry, with emphasis on related counterparties such as the oil market. Risk analysis on jet fuel fluctuations and the perspectives of hedging was discussed as a financial measure for reducing risk exposure and gaining more constant revenues. Examples of hedging adopted by the players in the industry were provided. The results of the study strengthen previous studies that report an impact of fuel hedging mitigates the risks, rather than reinforce the firm value.
Analysis of China's A-share Market Based on Implied Volatility
Authors: Liu Jiayuan
Published: July 2023

Market volatility is the focus of investors in the process of investment research. It is not only related to investors' judgment of market trends, but also has an important impact on the results of investment returns. The implied volatility of the market is a kind of volatility that is obtained with the Black-Scholes model, which has been widely recognized as well as applied in market analysis. Taking China's A-share market investment as an example, this paper analyzes and forecasts the market situation based on its implied volatility by Monte Carlo simulation, and compares the relevant results with the volatility calculated in the traditional way. This paper uses the Black-Scholes model and MATLAB soft solution to solve the implied volatility of China's A-share market represented as of the HS300 Index by numerical method. At the same time, the actual volatility of the HS300 index is calculated based on historical data. It is found that the results of the two are relatively close during the study period. After that, this paper takes the calculated implied volatility as the input parameter and combines the historical data to conduct Monte Carlo simulation of the trend of the HS300 Index in the next year (select different time points as the simulation starting point).
Multi-factor Analysis of Option Pricing (BSM) and Prediction of Pricing Direction Under the Convergence of Phenomenal Worlds
Authors: Wang Xiaoya
Published: July 2023

In the development involving options pricing, models with data-based predictions of future volatility at their core have dominated, with their inclusion of elements such as implied volatility and the implication of Brownian motion, normal distributions under a variety of programmatic analyses acting to generate range values, structuring models that are evidence of the gradual formation of pricing concepts as trading researchers uncover predictions of asset values, and surfacing impediments to moving their pricing ranges to specificity. The development of the BSM is widely regulated by the mutual proximity between the acceptance of the model concept by traders in this period and the degree of sophistication in dealing with limited rationality. Facilitating efficient control of options markets and outlining later pricing directions. The initial understanding of the various interpretations of finite and infinite rationality of information, influenced by the complexity of specific value manipulation. The extension of uncertainty in its role generates the form of the scientific matrix of opposing terms - related phenomenal world concepts, regulated by the role of complex financial markets (the scientific matrix brought by the economists at the beginning of the market development contains its pricing model development), embodied by the transfer of the phenomenal world. The alternative phenomenal world model formed by the extension will be justified by considering the integration of feedback with external financial markets.
Research on Labor Cost and Labor Compensation of Enterprises in Liaoning Province
Authors: Li Xinyi , Zhang Shucheng , Wei Xiaoting , Zhao Yiman
Published: July 2023

Liaoning is the birthplace of new China industry and the economic center of the old industrial base in Northeast China, which has played a vital role in the development of new China. Since the revitalization of the old industrial base in Northeast China was put forward, the small and medium-sized enterprises in Liaoning Province have played an increasingly obvious role in the overall economic development of Liaoning Province, and played a decisive role in promoting the economic development of Liaoning Province. The survival and development of small and medium-sized enterprises in Liaoning province play an important role in absorbing labor force to obtain full employment and comprehensively improving people's living standards. However, the development of small and medium-sized enterprises in Liaoning Province is not satisfactory, on the contrary, it is very worrying, which makes us have to focus on how to get rid of the difficult development situation of small and medium-sized enterprises in Liaoning Province and realize sustainable development. By exploring the relationship between enterprise cost and labor remuneration, taking 3649 enterprises surveyed as examples, this paper studies the proportion of optimal labor remuneration to labor cost and the proportion of labor cost to enterprise cost, so as to analyze the realistic situation faced by enterprises in Liaoning Province and the corresponding improvement countermeasures to promote the overall economic development of Liaoning Province.
Properties and Applications of Three Renewable/Sustainable Polymers: Cellulose, Lignin and Poly (Butylene Succinate)
Authors: Zheng Zhening
Published: July 2023

Since its invention in the last century, plastic has been widely used in various fields and has become the most used material at present. While it is convenient for people's life, the massive use of plastics has also brought about serious environmental pollution problems. Therefore, the research on degradable polymer materials and their related applications has become a research direction for more and more scholars. This paper introduces several environmentally friendly polymer materials, including two natural polymers, cellulose and lignin, and a synthetic polymer, poly (butylene succinate) (PBS), they all have excellent biodegradability. This paper also discusses their structures, properties, and applications in related fields. Cellulose has good resistance to hydrolysis and can be used in food packaging and tableware; lignin can be extracted from wide range of sources and is suitable for medical applications; PBS has good overall performance and can be used in many fields after copolymerization or blending modification with other substances. The study of renewable/sustainable polymers is of great significance to environmental protection and to solve the environmental pollution problem, but the study of degradation properties and applications of many polymers is still at the initial stage, more research results are expected in the future.
Technology, Geometry, Performance and Challenges in Wave Energy Converters
Authors: Cai Yingpeng , Li Enze
Published: July 2023

Recently, the worldwide energy scarcity raised the demand for integrated renewable energy in the modern grid. Considering the potential and ocean areas, wave energy-based power generation becomes an essential sustainable source for industry and academia. Notably, the wave energy converter (WEC) is the most common solution for extracting power from wave energy and convert into electricity. Wave electricity generation is the main method of using wave energy, and wave energy converters that are the core of wave energy technology have been widely and rapidly evolved. In this paper, the state-of-art WECs are reviewed with the classification based on different ways and different principle of operation of capturing energy of waves, including oscillating water column WEC (OWC-WEC), oscillating buoy WEC (OB-WEC) and overtopping WECs (O-WEC) are systematically reviewed in terms of operation principles, geometric structure and power take-off (PTO) strategies. Additionally, the energy conversion efficiency between different technologies is compared and summarized. The challenges and optimization aspects are delivered.
Application Progress of Ester Hydrogenation Catalysts
Authors: Li Yifei
Published: July 2023

Ester hydrogenation is a fresh approach to preparing alcohols or monoesters, which is used to obtain the required specific length of carbon atoms to replace the alcohol molecules to produce the corresponding esters or alcohols by the action of a catalyst, and has various applications in energy, chemical and food industries. The process involves the hydrogenation of the reactant esters to produce alcohols through catalysis. The process has the advantages of mild reaction conditions, few by-products and simple operation. Currently, there are two main approaches to ester-catalyzed hydrogenation: one is the application of noble metal hydrogenation catalysts, which is generally carried out in the air; the other is loaded metal catalysts that control the reaction activity by adjusting the reaction temperature, metal particle size and other factors. This paper reviews and summarizes the current status and problems in the application of these three methods: platinum-based non-homogeneous catalytic hydrogenation, transition metal-loaded catalysts and the application of rare earth metals.
Current Situation in The Development of Electric Vehicles
Authors: Hong Xin
Published: July 2023

The electric vehicle officially entered the history books in 1881 when the first electric car was invented and built by French inventor Gustave Trouvé. At the beginning of the twentieth century, the passion for electric vehicles had reached its peak. As the global economy boomed, electric vehicles became popular, selling far more than other powered vehicles. Later, due to the discovery of huge oil fields, lower petrol prices, improved gasoline vehicle's technology, and better road infrastructure, people were gradually abandoning electric vehicles. By the end of the twentieth century, due to the harsh environment and energy shortage, people are focusing on electric vehicles again, becoming the focus of the times. This paper will introduce environmental pollution, the energy crisis, and the need to develop electric vehicles. It will analyse the history and current status of the development of electric vehicles in several countries and regions. Technical aspects of electric vehicles such as range, battery recycling, and safety issues will also be discussed.
Attitude control of quadrotor UAV based on fuzzy PID control under small disturbance
Authors: Zhang Chuxiao , Li Jincheng , Gao Zifan
Published: July 2023

This paper proposes a attitude control method based on fuzzy control. Firstly, the basic model of quadrotor UAV is constructed, then the fuzzy PID controller based on fuzzy control strategy is introduced, and finally the simulation comparison experiments under PID control and fuzzy PID control are conducted. The experimental results show that the parameters of each link in the PID control method are easy to set, but the overshoot amount is large and the adjustment time is long; The simulation model of fuzzy PID control is relatively complex, and it is difficult to reach the predetermined expectation and difficult to accurately control. However, the output of overshoot, short regulation time and the waveform peak are small. In terms of anti-interference, fuzzy PID is more adaptive than PID control.
Research progress of transition metal compounds and composites in the field of supercapacitors
Authors: Yang Cheng , Gong Weiheng , Zhang Bo
Published: July 2023

Supercapacitors are widely used in the field of energy storage because of their high power density and good cycle stability. The energy storage mechanism of different electrode materials is different, and the corresponding supercapacitors are also obviously different. In recent years, transition metallic compounds with high energy density and capacitance have attracted extensive attention. In this paper, the energy storage principles and research results of three main transition metal-based electrode materials (transition metal oxide (TMOs), Layered double hydroxides (LDHs) and transition metal sulfide (TMDs)) and the research progress of their composites are reviewed, and the future of transition metal-based electrode materials is prospected.
Analysis of the Optimal Use of Fabric Masks and Disposable Medical Masks During the COVID-19
Authors: Yang Xu
Published: July 2023

Medical waste is one of the biggest concerns today due to the need to prevent COVID-19. How to properly handle the large amount of discarded disposable medical masks generated during and after the epidemic, fully understand the need for recycling and disposal of discarded masks, and accelerate the development of new technologies for value-added use have become important issues arising from the new crown epidemic and other respiratory infectious diseases, as well as an urgent requirement to protect the ecological environment. This paper outlines the materials of disposable medical masks and cloth masks, and analyses their impact on society and the environment from the perspective of their own characteristics, so as to give advice on how to choose masks. This paper compares cloth masks and traditional disposable medical masks, discussing the similarities and differences between them in terms of epidemic prevention, the environment, the economics of the product, the psychological burden on the public and the production of the company. The recommendations are based on the effectiveness of the two types of masks and their different handling methods. Finally, the challenges associated with the current use of masks are outlined and a personal view on the replacement of disposable medical masks with cloth masks is given. In the future, the government should expand the use of cloth masks by raising public awareness of the use of sustainable masks, in order to save resources and protect the environment. The aim of this paper is to reduce the environmental and socio-economic impact of masks by discussing the effectiveness, social and economic impact of the two types of masks, so that more people will be guided to use cloth masks.
Recent Advances in Salivary Glucose Monitoring
Authors: Feng Jingtao , Chang Zibei , Meng Shi
Published: July 2023

Diabetes is a worldwide public healthcare issue that poses a significant threat to human health. Currently, diabetic patients rely primarily on invasive blood glucose monitoring, which causes tremendous suffering. In recent years, noninvasive glucose monitoring has been the focus of research, especially with saliva sensors. This review systematically illustrates the latest research progress of electrochemical glucose sensors, and the principles of saliva monitoring of blood glucose, and presents the relevant challenges faced and strategies to cope with them. In addition, material design and practical applications for salivary glucose monitoring such as mouth guards, pacifiers, etc. are presented. This review aims to promote the development and possible future commercialization of salivary glucose monitoring to improve the management of diabetes.
The Role of Ladinin-1 in Cancer
Authors: Liu Xueting , Wang Xinmin , Zheng Qianye
Published: July 2023

Ladinin-1 (LAD1) is a protein originally called mammalian epidermal basement membrane collagen anchored silk protein. The molecular weight of the protein is 59 kD. It is a cytoskeleton related protein, responsible for maintaining the the coherence of dermal-epidermal junction, and it helps to connect epithelial cells with underlying mesenchymal cells. Biology of cancer includes aberrant cell differentiation and proliferation, unchecked growth, invasion, and metastasis, among other biological traits. LAD1 affects the migration, metastasis, proliferation and other important physiological processes of cells by regulating its expression, thus affecting the genesis and occurrence of cancer. However, the expression of LAD1 in different cancers has tumor specificity. This article reviews the biological functions of LAD1 in different cancers from breast cancer, colorectal cancer, NSCLC, and cervical cancer. It briefly summarizes the structure of LAD1 and further exploration of cancer-related treatment mechanisms can be provided by understanding its potential molecular mechanism of function in cancer cells LAD1 has potential value in anti-cancer treatment because of its important biological functions.
Current Concepts in Clinical Treatment of Osteochondral Lesions of the Talus
Authors: Liu Shaofei
Published: July 2023

Osteochondral lesions of the talus (OLTs) are common reason for the deep ankle pain and seriously affect patient’s sports and the daily life. Managements of the OLTs including conservative treatment, cartilage repair surgery, cartilage replacement surgery and cartilage regeneration surgery. For asymptomatic, serendipitous, or acute OLTs with no displaced fragments, conservative treating is suitable to execute, including mainly including affected ankle immobilization with or without physical therapy, bone stimulation, or drugs used. For small OLTs, cartilage repair strategy like bone marrow stimulation technique (BMS) was recommended, and microfracture is the most commonly used surgical procedure. For larger OLTs, both cartilage replacement and cartilage regeneration could be considered including. Although there are many treatment options, each treatment option may have certain limitations and may not be applicable. With the continuous development of science and technology, the development of biological adjuvants and tissue engineering technology has been accelerated and promoted. The combined application of surgery and biological adjuvants and tissue engineering technology has gradually become a hot spot in clinical research. This work briefly introduced present strategies and advance in treatment of OLTs and discussed the potential application problems aiming to provide reference for the future treatment selection and research of OLTs.
Research progress on repair of osteochondral defects
Authors: Dong Yilin , Li Yunhe , Lu Yusong , Yu Hainuo
Published: July 2023

In recent years, the incidence of arthritis is getting higher and higher, so the possibility of cartilage injury or even osteochondral defect is also increasing. Osteochondral tissue has also been found to be a complex structure, and a gradient change can be found in its physical properties and microstructure, etc. At present, there are many surgical methods for osteochondral injury, like microfracture, and each surgical procedure has both indications and defects. With the in-dept research of tissue engineering and the appliance of new materials, the research of osteochondral scaffolds is becoming more and more complex. This article not only gives a comprehensive introduction to osteochondral tissue, but also describes the commonly used surgical treatment of osteochondral injury, besides, summarizes the latest research progress of bionic scaffold materials. This review is to summarize the stage of osteochondral tissue repair currently and to provide reference value for the future study of osteochondral tissue repair.
Current Situation and Prospect of Exercise Therapy in Prevention and Treatment of Knee Osteoarthritis
Authors: Feng Zhimu , Wu Hanyu
Published: July 2023

Knee osteoarthritis (KOA) is a kind of chronic degenerative osteoarthrosis that mainly occurs in middle-aged and elderly people. The common clinical symptoms include knee joint pain, swelling and limited movement, which seriously affects the quality of life of patients, and has a certain degree of disability. As a safe and effective treatment method, aquatic exercise therapy has been accepted by more and more patients, and is gradually supported by international evidence-based medical evidence. In the rehabilitation of musculoskeletal injury, resistance training also plays a vital role. As a new type of treatment, blood flow restriction training can not only design personalized and precise rehabilitation programs, but also achieve the effect of traditional muscle strength training and high-intensity training while reducing the load, but also accelerate the rehabilitation of patients. Whether it is underwater exercise therapy or muscle strength training, there are differences in the efficacy of individuals. How to develop personalized exercise prescriptions to meet the needs of different patients with knee osteoarthritis has become a clinical problem that researchers need to consider in the next step.
Alternation of Microbiota in Autoimmune Disease
Authors: Yi Minghui
Published: July 2023

Immune system distinguishes self-antigens from non-self-antigen to protect the host from foreign threats. If losing this ability, the immune system can attack the host and lead to autoimmune diseases, which has high mortality although low prevalence. Microbiota closely interact with the immune system and functions to regulate the immune responses, thus are very likely to play a role in the autoimmune diseases. This paper discusses six autoimmune diseases, all of which are detected alternation of microbiota for the patients when comparing to that of the healthy controls. An imbalance between relative abundance of Bacteroidetes and Firmicutes can be a common characteristic of the patients. Probiotic treatments such as fecal microbiota transplantation (FMT) and probiotic supplements turn out to have an effect relieving the symptoms of autoimmune diseases. This suggests a great potential of probiotic treatment for the future development of better therapy for autoimmune diseases.
Intervention Progress of Anterior Cruciate Ligament (ACL) Reconstruction in Knee Osteoarthritis Caused by ACL Injury
Authors: Zhang Xuanwei
Published: July 2023

In recent years, as the number of people exercising has increased, so has the number of sports injuries, including traumatic osteoarthritis caused by Anterior Cruciate Ligament ACL injury. Traumatic osteoarthritis is a disease caused by trauma to or around the joints. It is primarily distinguished by articular cartilage degradation and ossification, which can lead to pathological changes of periarticular ligaments, synovial inflammation and joint instability, mainly causing joint pain, dysfunction, including premature joint degradation and other clinical symptoms. Any age and age group can occur, generally to young adults more common. The treatment of ACL injury is generally divided into emergency care, surgical treatment, drug treatment, and non-surgical treatment. If patients have ACL injury combined with medial knee ligament injury, or combined with posterior cruciate ligament injury and lateral ligament injury, surgical repair is generally selected for treatment, or ligament reconstruction is selected for treatment. For patients with obsolete injuries, more treatment means of ligament reconstruction should be considered. The therapeutic effect of ACL reconstruction on post-traumatic osteoarthritis is still controversial. This article aims to review the relationship between ACL injury and the pathogenesis of post traumatic knee osteoarthritis, in order to provide assistance for the treatment of Osteoarthritis of the knee caused by a severe injury.
The Research of Influencing Factors in Diet that Related to Heart Disease
Authors: Zhou Jiasheng
Published: July 2023

Although previous studies have demonstrated that the incidence of heart disease is associated with obesity, sex, race, nationality, and age, there are still many unidentified factors that deserve to be studied. In this research, multi linear method is used to deal with the data from the Kaggle “COVID-19 Healthy Diet Dataset” which was published and updated in 2021 for 170 countries. It is concluded that although heart disease has no connection with Alcoholic Beverages, Animal Products, Aquatic Products Other, Fish Seafood, Fruits Excluding Wine, Miscellaneous, Milk Excluding Butter, Offals, Oil crops, Pulses, Spices, Starchy Roots, Stimulants, Sugar Crops, Sugar & Sweeteners, Tree nuts, Vegetal Products, Vegetable Oils, Vegetables, it has a relatively strong connection with Meat and a particularly strong relationship with Animal fats, Cereals Excluding Beer, Eggs. Many of the factors have a possibly strong connection with cancer have never appeared in previous studies. This paper provides some new perspectives to study the factors of heart disease and point to the way for further research afterward.
Effect of Indicators of Exercise on Sleep Efficiency
Authors: He Yongxian
Published: July 2023

Although sleep is important for good health, the number of people suffering from insomnia has increased in recent years, making it important to find ways that can promote sleep. Research has shown that most exercises have a sleep-promoting effect and rarely have a negative impact. In this paper, sleep efficiency is used as a measure of sleep quality to compare and analyse the effects of different intensities of exercise on sleep efficiency, as well as the effects of various exercise indicators, and to conclude how exercise can most effectively improve sleep efficiency. Through ANOVA and linear regression, the study found that exercise in different state may have different preferred patterns which are beneficial to promote sleep efficiency. In general, exercise is better than keep sitting still as the increase in calorie consumption and some other indicators have positive effects on sleep efficiency. Besides, some interaction factors also have significant effects.
Hepatitis C Risk Prediction Based on Adaboost
Authors: Yang Jingbo
Published: July 2023

Hepatitis C is one of the major public health threats. The incidence of liver cirrhosis in 20 years after infection is about 20%, and the annual incidence of hepatocellular carcinoma is 2% - 4%, which is extremely harmful to the health and life of patients. However, people's understanding of hepatitis C is not comprehensive, and only 1 percent of hepatitis C patients worldwide have received effective treatment. At the same time, the early symptoms of hepatitis C are not obvious, and the differences between acute and chronic hepatitis C are large, leading many people to miss the best time for treatment. Therefore, reasonable prediction and classification of hepatitis C at an early stage can provide the most accurate medical guidance for patients and people with related symptoms. Machine learning is widely used in the prediction and classification of diseases in various medical fields, and its maturity has also been widely verified. In this paper, several types of machine learning models represented by decision trees are constructed in Python language to learn and predict the data provided by Ainshams University, and the accuracy rate is 72%. Finally, the data of the data set is analyzed, and relevant suggestions for preventing hepatitis C and in the treatment process are given.
CAR T-Cell Therapy in Solid Tumors: Current Review and Future Perspectives
Authors: Zheng Jiaxuan
Published: July 2023

Chimeric antigen receptor (CAR) T-cell therapy is a new type of targeted approach for tumors in clinical practice. At present, this technology is mainly used in hematological malignancies, while its application in solid tumors is limited, where histopathological characteristics might impede CAR-T cell infiltration and trafficking. To further expand the feasibility of CAR-T cell therapy, potential solutions have been put forward, such as enhancing CAR-T cell functioning with chemokine receptors, applying immune checkpoint inhibitors in combination, etc. In this review, we will focus on complexity of solid tumor microenvironment, adaptability of CAR-T cells, mechanisms of immune escape, and the ability of CAR-T cells to infiltrate tumor cells.
Study on the process conditions of C4 olefin preparation based on statistical method
Authors: Hu Zijian , Li Danyu , Qian Linhao
Published: July 2023

Due to the wide application of C4 olefins, it is of profound research significance and important value to explore the process conditions for the preparation of C4 olefins by catalytic coupling of ethanol. This paper calculates and analyzes the data generated in the C4 olefin preparation process by establishing a mathematical model and provides targeted suggestions based on statistical methods. First, one-dimensional linear regression was used to analyze the relationship between ethanol conversion, C4 olefin selectivity and temperature so as to obtain the regression coefficients of each group and test their significance; Secondly, SPSS is used for matrix scatter plot to observe the linear trend and spearman correlation coefficient is used for correlation analysis. Hypothesis test is conducted to draw relevant conclusions; Then the fuzzy synthesis is used to draw the conclusion that the catalyst has a greater impact on the reaction. Finally, the neural network is used to train the data and arrange them to obtain all the combination of catalyst and temperature. It is obtained that at 400°C, the combination of "200mg 2wt% Co/SiO2-200mg HAP ethanol concentration 2.1ml/min" can obtain 45.259% of the maximum C4 olefin yield without limiting the temperature; If the temperature is lower than 350°C, the catalyst is "50mg 5wt% Co/SiO2-50mg HAP ethanol concentration 0.3ml/min" and the temperature is 275°C. The maximum C4 olefin yield is 30.75%.
Modification on Pea Protein to Enhance Its Applications in Food Products
Authors: Zheng Yangyi
Published: July 2023

Pea is an important nutrient source, as it contains high volumes of protein, starch and fibre. Pea protein is expected as growing alternative protein in current food factory, owing to its global convenience, cost effective high nutrient and wholesome. As several food companies already use pea protein as alternative meat protein to make burger patties. Pea protein is a potential food ingredient because of its solubility, ability to hold both water and oil, ability to form emulsions, and viscosity. Therefore, in this review, pea protein fractions, functional characters and modifications to enhance its applications have been studied. In terms of modifications, pea protein can be modified through physical, chemical and biological approaches. These modifications can potentially improve its solubility, emulsifying ability, digestibility and reduce unpleasant beany flavor. Via these modification techniques, pea protein can be added to meat products and meat analogues to provide nutrients, making it competitive in various processed foods.
Study on preparation of Olefins by Coupling ethanol based on simulated annealing Model and Neural Network algorithm
Authors: Yang Xinlin
Published: July 2023

Ethanol molecules can be prepared by biomass fermentation, with a wide range of sources, green and clean, and the production of high value-added C4 alkenes with ethanol as a platform molecule has great application prospects and economic benefits has attracted wide attention at home and abroad. Meanwhile, optimizing the reaction conditions for the preparation of butene can also appropriately reduce the waste of resources and make a certain contribution to environmental protection. This paper collects relevant response data, uses fit type and Linear model for data fitting and comparative analysis, calculates the average value of each item of data selected from the five experimental groups, and then uses MATLAB two-dimensional broken line drawing for analyzing the changing law of the data more vividly and intuitively. Finally, the simulated annealing algorithm model and the genetic algorithm model are used to optimize the temperature and catalyst combination of the highest C4 olefin yield, the GRGNon-Linear method, the simple simplex method, and the Evolutionary evolution algorithm and Nesterovmethod artificial firefly algorithm are used to analyze and calculate. Thus, the optimal catalyst combination is 200mg1wt%Co/SiO2-200mgHAP ethanol concentration 0.9ml/min, and the temperature of 425℃ is the maximum yield of C4 olefins. Moreover, 350 degrees is the optimum temperature in the temperature range below 350 degrees. Finally, we use the experimental data of the BP (BackPropagation) neural network prediction algorithm to predict and analyze the feasible scheme and explain the detailed reasons for choosing the experimental conditions to determine five groups of better experimental schemes.
Research on Composition Analysis and Identification of Ancient Glass Products
Authors: Zhong Jiewen , Chen Jieli , Chen Zenghao
Published: July 2023

Glassware was the witness of the ancient Silk Road trade. The paper focuses on the component analysis and identification methods of ancient glass products. The decision tree model was established and analyzed to obtain the classification rules of high potassium glass and lead barium glass. Based on the cluster analysis method, appropriate chemical elements were selected for each type to conduct cluster analysis. The result showed that high potassium glass and unweathered lead barium glass can be classified by their content of silicon dioxide. However, weathered lead barium glass needed to be classified by their content of lead oxide. The random forest regression model was used to classify glass cultural relics by their chemical elements. The chemical element data of glass cultural relics with known types were used as samples, and the chemical element data of glass cultural relics with unknown types were inputted into the trained model. Finally, the types of glass cultural relics were predicted and sensitivity analysis was conducted.