Pub Date : 2024-06-11DOI: 10.54254/2753-8818/40/20240199
Tong Wu
Global warming is a severe environmental problem which caused by human activities such as damage to the environmental an overuse of resources. In order to control the global warming under 2C, net zero, especially net zero CO2 has been a goal that must be pursued. The net zero is a goal that all the countries can reduce the emission of greenhouse gases to zero. This article uses FaIR climate model to study the effect of different greenhouse gases on temperature anomaly so that to find the main contributor. The effect of net zero CO2 also be estimated. The model concluded that carbon dioxide from burning fossil fuels is the most important contributor to global warming, and zero emissions of CO2 would greatly help mitigate it. In addition, global warming is an inevitable trend, so while reducing CO2 emissions to mitigate the global warming, adaptation to the long-term global warming can also be combined with mitigation.
{"title":"Global warming in a net zero CO2 scenario after 2050 a study with FaIR","authors":"Tong Wu","doi":"10.54254/2753-8818/40/20240199","DOIUrl":"https://doi.org/10.54254/2753-8818/40/20240199","url":null,"abstract":"Global warming is a severe environmental problem which caused by human activities such as damage to the environmental an overuse of resources. In order to control the global warming under 2C, net zero, especially net zero CO2 has been a goal that must be pursued. The net zero is a goal that all the countries can reduce the emission of greenhouse gases to zero. This article uses FaIR climate model to study the effect of different greenhouse gases on temperature anomaly so that to find the main contributor. The effect of net zero CO2 also be estimated. The model concluded that carbon dioxide from burning fossil fuels is the most important contributor to global warming, and zero emissions of CO2 would greatly help mitigate it. In addition, global warming is an inevitable trend, so while reducing CO2 emissions to mitigate the global warming, adaptation to the long-term global warming can also be combined with mitigation.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/39/20240544
Jianing Sun
Depression is famous for its capacity to make devastating impact on peoples physical and mental well-being and sense of happiness. Many researches have tried to identify different factors that function on different groups of people. In this research, the method Binary Logistic Model is used to deal with the data from a study about the life condition of people in rural zones, and was first published online in 2019 and compiled in 2020, with 1429 individuals as its samples. It is concluded that although depression has no connection with sex, marriage, number of children, members in family, gained asset, durable asset, saved asset, living expenses, other expenses, income from salary, income from farm, income from business, income from non-business, income from agriculture, farm expenses, labor primary, lasting investment, non-lasting investment, it has a relatively strong connection with age and education level. This paper focuses on people in rural zones, and concerns 20 factors that cover many aspects of their lives simultaneously, which hopes to help further study of depression.
{"title":"The research on influence factors related to depression in rural zones","authors":"Jianing Sun","doi":"10.54254/2753-8818/39/20240544","DOIUrl":"https://doi.org/10.54254/2753-8818/39/20240544","url":null,"abstract":"Depression is famous for its capacity to make devastating impact on peoples physical and mental well-being and sense of happiness. Many researches have tried to identify different factors that function on different groups of people. In this research, the method Binary Logistic Model is used to deal with the data from a study about the life condition of people in rural zones, and was first published online in 2019 and compiled in 2020, with 1429 individuals as its samples. It is concluded that although depression has no connection with sex, marriage, number of children, members in family, gained asset, durable asset, saved asset, living expenses, other expenses, income from salary, income from farm, income from business, income from non-business, income from agriculture, farm expenses, labor primary, lasting investment, non-lasting investment, it has a relatively strong connection with age and education level. This paper focuses on people in rural zones, and concerns 20 factors that cover many aspects of their lives simultaneously, which hopes to help further study of depression.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"175 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240522
Jiheng Xu
This paper provides a corresponding coping strategy for developing the insurance industry under extreme weather by establishing an insurance company underwriting model. An insurance model (ICU model) for assessing catastrophe risk is proposed based on the results of some international databases and disaster resilience studies. The ICP coefficient is obtained by multiplying the regional vulnerability index with the regional risk index, where our innovatively proposed ARIMA-LSTM coupling algorithm predicts the risk index. The inverse proportionality function of the ICU coefficient is constructed based on the fact that the risk of insurance companies is positively correlated with the regional risk (ICP coefficient) and negatively correlated with the regional purchasing power (CBP coefficient). The CBP coefficients were computed by K-means clustering, and the derived ICP coefficients were used to derive the ICU coefficients for each region. Finally, the coefficients were categorized into three intervals to give the insurance companys coverage model.
{"title":"Insurance company underwriting model against extreme weather","authors":"Jiheng Xu","doi":"10.54254/2753-8818/38/20240522","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240522","url":null,"abstract":"This paper provides a corresponding coping strategy for developing the insurance industry under extreme weather by establishing an insurance company underwriting model. An insurance model (ICU model) for assessing catastrophe risk is proposed based on the results of some international databases and disaster resilience studies. The ICP coefficient is obtained by multiplying the regional vulnerability index with the regional risk index, where our innovatively proposed ARIMA-LSTM coupling algorithm predicts the risk index. The inverse proportionality function of the ICU coefficient is constructed based on the fact that the risk of insurance companies is positively correlated with the regional risk (ICP coefficient) and negatively correlated with the regional purchasing power (CBP coefficient). The CBP coefficients were computed by K-means clustering, and the derived ICP coefficients were used to derive the ICU coefficients for each region. Finally, the coefficients were categorized into three intervals to give the insurance companys coverage model.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"125 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240527
Yulin Wang
Due to the low efficiency of traditional communications and many problems, the development of optical fiber communications is currently necessary. Among them, fiber laser is the core of fiber communication, and the higher the output band of a fiber laser, the more information it carries, and the information that can be transmitted increases accordingly. Therefore, the primary goal is to develop a fiber laser with high-band output. At present, research on high-band output fiber lasers is being carried out at home and abroad. Domestic research focuses on the selection of fiber media; foreign research focuses on random fiber lasers. This article adopts the domestic research route, based on the premise that vanadium ions can emit laser wavelengths that include the L+ band when performing energy level transitions. At the same time, vanadium-doped gallium lanthanum sulfide glass has good functions of absorbing pump light and emitting lasing light. Therefore, this article mainly discusses the design of vanadium-doped fiber lasers using vanadium-doped gallium sulfide as the gain medium under simulation conditions to achieve high-band output of fiber lasers.
{"title":"Principle and design of vanadium-doped fiber laser under simulation","authors":"Yulin Wang","doi":"10.54254/2753-8818/38/20240527","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240527","url":null,"abstract":"Due to the low efficiency of traditional communications and many problems, the development of optical fiber communications is currently necessary. Among them, fiber laser is the core of fiber communication, and the higher the output band of a fiber laser, the more information it carries, and the information that can be transmitted increases accordingly. Therefore, the primary goal is to develop a fiber laser with high-band output. At present, research on high-band output fiber lasers is being carried out at home and abroad. Domestic research focuses on the selection of fiber media; foreign research focuses on random fiber lasers. This article adopts the domestic research route, based on the premise that vanadium ions can emit laser wavelengths that include the L+ band when performing energy level transitions. At the same time, vanadium-doped gallium lanthanum sulfide glass has good functions of absorbing pump light and emitting lasing light. Therefore, this article mainly discusses the design of vanadium-doped fiber lasers using vanadium-doped gallium sulfide as the gain medium under simulation conditions to achieve high-band output of fiber lasers.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"22 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240546
Yuqing Wang
Traffic accident is getting increasingly serious. Although previous researchers use a variety of methods to predict the traffic accident, there are numerous demerits that need to be improved. This article demonstrates 12 variables that impact the traffic accident with 679 samples of accidents in UK from 2012 to 2014. This paper first analyses the relevance between dependent and independent variables, and also two independent variables to show the correlation between each factor. By using the multiple linear regression, it is concluded that although some independent variables do not have relationship with the dependent variable urban or rural area, Accident Severity, Number of Casualties, Road Type, Speed limit, Junction Control show significant relationship with the dependent variable. The paper also considers the 95% confidence interval in order to compare the effective density of data. Overall, the prediction of traffic accident is based on a number of factors and a sizable sample of accidents to summarize the impact that traffic accidents bring.
{"title":"Research on the prediction of traffic accident by linear regression","authors":"Yuqing Wang","doi":"10.54254/2753-8818/38/20240546","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240546","url":null,"abstract":"Traffic accident is getting increasingly serious. Although previous researchers use a variety of methods to predict the traffic accident, there are numerous demerits that need to be improved. This article demonstrates 12 variables that impact the traffic accident with 679 samples of accidents in UK from 2012 to 2014. This paper first analyses the relevance between dependent and independent variables, and also two independent variables to show the correlation between each factor. By using the multiple linear regression, it is concluded that although some independent variables do not have relationship with the dependent variable urban or rural area, Accident Severity, Number of Casualties, Road Type, Speed limit, Junction Control show significant relationship with the dependent variable. The paper also considers the 95% confidence interval in order to compare the effective density of data. Overall, the prediction of traffic accident is based on a number of factors and a sizable sample of accidents to summarize the impact that traffic accidents bring.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"8 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240551
Yue Zhao, Wenshuai Liu, Yan Yan, Feiyi Li
This paper explores the transformative integration of econometrics and data science, a synergy poised to redefine empirical research within economics. By merging traditional econometric methods with advanced data science techniques, such as machine learning algorithms and big data analytics, this interdisciplinary approach enables a deeper, more nuanced understanding of complex economic phenomena. We delve into the theoretical foundations underlying this integration, highlighting how machine learning algorithms like random forests and neural networks complement conventional regression analysis, thereby enhancing model complexity and predictive accuracy. The paper further discusses methodological advancements, including handling high-dimensional data, incorporating unstructured data through natural language processing, and the evolution of model selection processes empowered by machine learning. Practical applications are thoroughly examined across three pivotal areas: economic forecasting and policy analysis, financial markets and risk management, and social economic analysis and public policy, showcasing the significant contributions of this convergence to economic forecasting, policy formulation, and the assessment of public interventions. This comprehensive exploration underscores the potential of combining econometrics and data science to offer more precise and actionable insights for policymakers, researchers, and practitioners in the field of economics.
{"title":"Navigating the confluence of econometrics and data science: Implications for economic analysis and policy","authors":"Yue Zhao, Wenshuai Liu, Yan Yan, Feiyi Li","doi":"10.54254/2753-8818/38/20240551","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240551","url":null,"abstract":"This paper explores the transformative integration of econometrics and data science, a synergy poised to redefine empirical research within economics. By merging traditional econometric methods with advanced data science techniques, such as machine learning algorithms and big data analytics, this interdisciplinary approach enables a deeper, more nuanced understanding of complex economic phenomena. We delve into the theoretical foundations underlying this integration, highlighting how machine learning algorithms like random forests and neural networks complement conventional regression analysis, thereby enhancing model complexity and predictive accuracy. The paper further discusses methodological advancements, including handling high-dimensional data, incorporating unstructured data through natural language processing, and the evolution of model selection processes empowered by machine learning. Practical applications are thoroughly examined across three pivotal areas: economic forecasting and policy analysis, financial markets and risk management, and social economic analysis and public policy, showcasing the significant contributions of this convergence to economic forecasting, policy formulation, and the assessment of public interventions. This comprehensive exploration underscores the potential of combining econometrics and data science to offer more precise and actionable insights for policymakers, researchers, and practitioners in the field of economics.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"8 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240553
Wenshuai Liu
This paper explores the foundations and applications of quantitative analysis in financial risk management. It examines the pivotal role of probability theory, statistical inference, and advanced algorithms in identifying, quantifying, and mitigating financial risks. Key concepts such as the Normal, Poisson, and Binomial distributions are discussed in the context of risk analysis, alongside statistical inference methods like hypothesis testing and confidence intervals. Furthermore, the paper investigates the application of portfolio optimization models, credit risk evaluation techniques, and market risk assessment methodologies in practical risk management scenarios. Additionally, it addresses the challenges posed by model risk, data quality, and regulatory compliance, emphasizing the need for rigorous validation, robust data governance, and ethical considerations in risk management practices. By integrating sophisticated quantitative techniques with real-world applications, financial institutions can enhance their ability to navigate the complexities of modern financial markets and achieve more effective risk management strategies.
{"title":"Leveraging probability and statistical algorithms for enhanced financial risk management","authors":"Wenshuai Liu","doi":"10.54254/2753-8818/38/20240553","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240553","url":null,"abstract":"This paper explores the foundations and applications of quantitative analysis in financial risk management. It examines the pivotal role of probability theory, statistical inference, and advanced algorithms in identifying, quantifying, and mitigating financial risks. Key concepts such as the Normal, Poisson, and Binomial distributions are discussed in the context of risk analysis, alongside statistical inference methods like hypothesis testing and confidence intervals. Furthermore, the paper investigates the application of portfolio optimization models, credit risk evaluation techniques, and market risk assessment methodologies in practical risk management scenarios. Additionally, it addresses the challenges posed by model risk, data quality, and regulatory compliance, emphasizing the need for rigorous validation, robust data governance, and ethical considerations in risk management practices. By integrating sophisticated quantitative techniques with real-world applications, financial institutions can enhance their ability to navigate the complexities of modern financial markets and achieve more effective risk management strategies.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"111 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240541
Kecheng Li
In 1964, Peter Higgs proposed the Higgs mechanism, a theory explaining the generation mechanism of the property mass for gauge bosons. After that, physicists proposed many theories and experiments to prove the existence of the Higgs boson. Then in 2013, the European Organization for Nuclear Research (CERN) discovered the Higgs boson, and in the next ten years, physicists did a large amount of research about the boson, the other possible kinds of Higgs boson, and the pairs of Higgs boson. However, it is hard to prove those theories through experiments mainly due to the large mass of the Higgs boson. In this paper, the author discusses the process of particles getting mass and the significance of the Higgs boson. The history of the Higgs boson and its impact on the world is summarized, and some probable predictions of the future research orientation are proposed by summarizing the past research papers and concluding from those articles. Overall, physicists can do more research on the interactions between the Higgs bosons, whose sensitivity can be used to discover those possible particles in the future.
{"title":"Analysis on the relationship between the Higgs boson and the standard model","authors":"Kecheng Li","doi":"10.54254/2753-8818/38/20240541","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240541","url":null,"abstract":"In 1964, Peter Higgs proposed the Higgs mechanism, a theory explaining the generation mechanism of the property mass for gauge bosons. After that, physicists proposed many theories and experiments to prove the existence of the Higgs boson. Then in 2013, the European Organization for Nuclear Research (CERN) discovered the Higgs boson, and in the next ten years, physicists did a large amount of research about the boson, the other possible kinds of Higgs boson, and the pairs of Higgs boson. However, it is hard to prove those theories through experiments mainly due to the large mass of the Higgs boson. In this paper, the author discusses the process of particles getting mass and the significance of the Higgs boson. The history of the Higgs boson and its impact on the world is summarized, and some probable predictions of the future research orientation are proposed by summarizing the past research papers and concluding from those articles. Overall, physicists can do more research on the interactions between the Higgs bosons, whose sensitivity can be used to discover those possible particles in the future.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"1 8‐9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.54254/2753-8818/38/20240566
Kexin Jiang
In current years, the mental issues of university students have become progressively thoughtful, attracting widespread attention from society. Therefore, studying the elements that influence the mental issues of university students has become an urgent issue, but few scholars have done this work. Therefore, based on the multiple linear regression model, this article quantitatively studies several factors that affect the mental health status of college students, attempting to make a contribution to explaining the causes of mental issues among university students. The empirical study finds that stress level is currently the main factor affecting the mental health status of college students, and a significant positive correlation between this variable and the incidence of mental health problems has been found in the model. Therefore, schools and society must heed the psychological pressure of students, provide reasonable help and psychological counseling when necessary, and college students should also learn how to eliminate their own psychological pressure to prevent the occurrence of mental health problems caused by excessive pressure.
{"title":"Research on the factors influencing the mental issue of university students","authors":"Kexin Jiang","doi":"10.54254/2753-8818/38/20240566","DOIUrl":"https://doi.org/10.54254/2753-8818/38/20240566","url":null,"abstract":"In current years, the mental issues of university students have become progressively thoughtful, attracting widespread attention from society. Therefore, studying the elements that influence the mental issues of university students has become an urgent issue, but few scholars have done this work. Therefore, based on the multiple linear regression model, this article quantitatively studies several factors that affect the mental health status of college students, attempting to make a contribution to explaining the causes of mental issues among university students. The empirical study finds that stress level is currently the main factor affecting the mental health status of college students, and a significant positive correlation between this variable and the incidence of mental health problems has been found in the model. Therefore, schools and society must heed the psychological pressure of students, provide reasonable help and psychological counseling when necessary, and college students should also learn how to eliminate their own psychological pressure to prevent the occurrence of mental health problems caused by excessive pressure.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"17 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-08DOI: 10.54254/2753-8818/33/20240931
Yang Hu
Traditional Chinese medicine (TCM) is the collective term for the medical practices of all ethnic groups in China (both Han Chinese and ethnic minorities), reflecting the Chinese understanding of life, health, and illness over thousands of years. In addition, traditional herbal medicine has demonstrated its effectiveness in treating complex diseases that have challenged modern Western medicine, such as the use of Artemisia annua extracts to treat malaria, preparations based on traditional Chinese pharmacology to combat large-scale influenza outbreaks, and herbal preparations as an adjunctive therapy to cancer treatment. Currently, the development of traditional Chinese medicine is facing problems such as the loss of prescription knowledge and the degradation of the quality of cultivated species of herbs. This paper uses a literature review to analyze the application of CRISPR/Cas9 gene editing technology in medicinal plants. It also proposes directions that can solve the challenges facing traditional Chinese medicine based on the arrangement of existing literature, and foresees the future application of CRISPR/Cas9 gene editing technology in medicinal plant editing.
{"title":"Research on the application of CRISPR/Cas9 gene editing technology in traditional Chinese medicine","authors":"Yang Hu","doi":"10.54254/2753-8818/33/20240931","DOIUrl":"https://doi.org/10.54254/2753-8818/33/20240931","url":null,"abstract":"Traditional Chinese medicine (TCM) is the collective term for the medical practices of all ethnic groups in China (both Han Chinese and ethnic minorities), reflecting the Chinese understanding of life, health, and illness over thousands of years. In addition, traditional herbal medicine has demonstrated its effectiveness in treating complex diseases that have challenged modern Western medicine, such as the use of Artemisia annua extracts to treat malaria, preparations based on traditional Chinese pharmacology to combat large-scale influenza outbreaks, and herbal preparations as an adjunctive therapy to cancer treatment. Currently, the development of traditional Chinese medicine is facing problems such as the loss of prescription knowledge and the degradation of the quality of cultivated species of herbs. This paper uses a literature review to analyze the application of CRISPR/Cas9 gene editing technology in medicinal plants. It also proposes directions that can solve the challenges facing traditional Chinese medicine based on the arrangement of existing literature, and foresees the future application of CRISPR/Cas9 gene editing technology in medicinal plant editing.","PeriodicalId":506830,"journal":{"name":"Theoretical and Natural Science","volume":"130 S209","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140256877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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