Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based ...Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.展开更多
Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motiv...Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motivation and cognitive styles in the language classroom. LANGUAGE teaching would be much easier if all students were alike. The number of instructional decisions would be greatly reduced; teaching methods would be rather simpler; lesson designs would not have to be modified; teachers would not have to consider alternative procedures; teacher-student展开更多
As promoters of tourism,university students play a crucial role in the industry.Addressing the significant variability in review data for tourist attractions around Wenzhou University Town,and the issues of imprecise ...As promoters of tourism,university students play a crucial role in the industry.Addressing the significant variability in review data for tourist attractions around Wenzhou University Town,and the issues of imprecise sentiment extraction and single influencing factors in traditional language sentiment analysis models,this study proposes a method that combines algorithms and considers multiple factors for sentiment analysis.First,data is collected using Python technology and analyzed based on seasonal time factors.The TF-IDF algorithm is then used to evaluate keywords in the reviews,followed by the TextRank algorithm to calculate the weight of each word,obtaining summary terms.Finally,the results of the TF-IDF and TextRank algorithms are combined,and sentiment analysis is conducted using the SnowNLP library in Python.Compared to traditional sentiment analysis,which uses only a single model or considers only time factors,this study combines the TF-IDF and TextRank algorithms and incorporates time factors,thereby expanding the range of sentiment influencing factors.This approach results in more accurate and rational sentiment analysis outcomes.展开更多
文摘Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.
文摘Students’ individual differences pose a challenge to language teachers and influence the way in which a foreign language is learned. We are therefore invited to consider the role of our students’ personalities,motivation and cognitive styles in the language classroom. LANGUAGE teaching would be much easier if all students were alike. The number of instructional decisions would be greatly reduced; teaching methods would be rather simpler; lesson designs would not have to be modified; teachers would not have to consider alternative procedures; teacher-student
基金support from the Innovation and Entrepreneurship Training Program for College Students at Wenzhou Business College for this research.The project title is"A Study on the Evaluation of Tourist Attractions Around Wenzhou University Town Based on Big Data Analysis,"and the project number is 202313637017.
文摘As promoters of tourism,university students play a crucial role in the industry.Addressing the significant variability in review data for tourist attractions around Wenzhou University Town,and the issues of imprecise sentiment extraction and single influencing factors in traditional language sentiment analysis models,this study proposes a method that combines algorithms and considers multiple factors for sentiment analysis.First,data is collected using Python technology and analyzed based on seasonal time factors.The TF-IDF algorithm is then used to evaluate keywords in the reviews,followed by the TextRank algorithm to calculate the weight of each word,obtaining summary terms.Finally,the results of the TF-IDF and TextRank algorithms are combined,and sentiment analysis is conducted using the SnowNLP library in Python.Compared to traditional sentiment analysis,which uses only a single model or considers only time factors,this study combines the TF-IDF and TextRank algorithms and incorporates time factors,thereby expanding the range of sentiment influencing factors.This approach results in more accurate and rational sentiment analysis outcomes.
