BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as exp...BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.展开更多
The reader might rightly ask for a word on the origin of this special issue of Cultures of Science. The topic of ‘common sense’(CS) arose from an international workshop organized in September 2017 in Beijing by the ...The reader might rightly ask for a word on the origin of this special issue of Cultures of Science. The topic of ‘common sense’(CS) arose from an international workshop organized in September 2017 in Beijing by the then newly founded NAIS(National Academy of Innovation Strategy). As part of the developments, this very journal, Cultures of Science, was about to be launched, and the aim of the workshop was to explore future topics and issues that the journal seeks to address.展开更多
在开源软件和开源平台中,开发人员可以通过提交issue来记录所发现的软件错误或提出新功能需求.由于缺乏经验、专业水平有限等原因,用户可能无法对issue内容进行准确有效地总结,导致issue标题质量较低,进而降低issue的解决效率.此外,现有...在开源软件和开源平台中,开发人员可以通过提交issue来记录所发现的软件错误或提出新功能需求.由于缺乏经验、专业水平有限等原因,用户可能无法对issue内容进行准确有效地总结,导致issue标题质量较低,进而降低issue的解决效率.此外,现有的issue标题自动生成方法主要面向GitHub等英文开源平台,当应用在Gitee等国产开源平台时表现不佳.同时,现有方法主要使用issue主体描述作为输入,忽略了issue中的代码片段等重要信息.为此,本文提出一种面向Gitee平台的issue标题自动生成方法GITG(Gitee Issue Title Generation),针对包含中文和英文文本的issue,使用构建的Gitee issue数据集对支持中文的预训练模型Chinese BART(Bidirectional and Auto-Regressive Transformers)进行微调,利用issue主体描述和代码片段的双模态信息来自动生成issue标题.为验证GITG的有效性,构建了包含18242个Gitee issue样本的数据集.实验结果表明,GITG在ROUGE-1、ROUGE-2和ROUGE-L指标上相较于iTAPE和iTiger分别至少提升了13.09%、10.18%和12.84%,在BLEU和METEOR指标上同样取得了性能提升.人工评价结果表明,GITG生成标题的平均得分在整体分数、流畅性、信息性和简洁性4个评价指标上相较iTAPE和iTiger分别至少提升了26.7%、20.8%、24.2%和20.0%.展开更多
Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the...Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the acceptance process.The findings indicate that primary challenges include low seedling survival rates,incongruities between tree species selection and site conditions,structural deficiencies within the forest belts,insufficient post-planting maintenance and management,and irregularities in documentation.To address these problems,the study proposes targeted countermeasures,such as optimizing tree species selection,enhancing supervision of planting techniques,and establishing a long-term ecological compensation-based management model.These recommendations are framed within the contexts of scientific planning,precise implementation,strengthened oversight,and innovative management mechanisms.The research aims to improve the construction quality and long-term fire prevention efficacy of biological firebreak forest belts,thereby providing practical guidance for analogous firebreak forest belt construction and acceptance initiatives in forest areas of South China.展开更多
This study summarizes the examination data of registration labels for ordinary cosmetics in Beijing from May 2021 to April 2024.It analyzes and categorizes the issues identified during label evaluations,explores the u...This study summarizes the examination data of registration labels for ordinary cosmetics in Beijing from May 2021 to April 2024.It analyzes and categorizes the issues identified during label evaluations,explores the underlying causes,and proposes regulatory countermeasures and recommendations for registrants,regulatory authorities,and social organizations.The objective is to offer practical insights and regulatory guidance to support the enhancement of cosmetic registration and regulatory standards.展开更多
It is with profound respect and gratitude that we dedicate this special issue of the Journal of Environmental Sciences to the memory of Professor Chuanyong Jing,whose outstanding contributions to environmental science...It is with profound respect and gratitude that we dedicate this special issue of the Journal of Environmental Sciences to the memory of Professor Chuanyong Jing,whose outstanding contributions to environmental sciences have advanced the field and continue to resonate with both academia and the broader environmental community.展开更多
Editors Yang Wang,Xi'an Jiaotong University Dongbo Shi,Shanghai Jiaotong University Ye Sun,University College London Zhesi Shen,National Science Library,CASTopic of the Special Issue What are the top questions tow...Editors Yang Wang,Xi'an Jiaotong University Dongbo Shi,Shanghai Jiaotong University Ye Sun,University College London Zhesi Shen,National Science Library,CASTopic of the Special Issue What are the top questions towards better science and innovation and the required data to answer these questions?展开更多
SAMR (SAC) and relevant departments jointly issued the Report on the Standardization Achievements of the 10th Anniversary of the Belt and Road Initiative (BRI) recently, to summarize the fruitful results in promoting ...SAMR (SAC) and relevant departments jointly issued the Report on the Standardization Achievements of the 10th Anniversary of the Belt and Road Initiative (BRI) recently, to summarize the fruitful results in promoting the connectivity of standardization among Belt and Road countries in the past 10 years.展开更多
System identification is a data-driven modeling technique that originates from the control field.It constructs models from data to mimic the behavior of dynamic systems.However,in the network era,scenarios such as sen...System identification is a data-driven modeling technique that originates from the control field.It constructs models from data to mimic the behavior of dynamic systems.However,in the network era,scenarios such as sensor malfunctions,packet loss,cyber-attacks,and big data affect the quality,integrity,and security of the data.These data issues pose significant challenges to traditional system identification methods.This paper presents a comprehensive survey of the emergent challenges and advances in system identification in the network era.It explores cutting-edge methodologies to address data issues such as data loss,outliers,noise and nonlinear system identification for complex systems.To tackle the data loss,the methods based on imputation and likelihood-based inference(e.g.,expectation maximization)have been employed.For outliers and noise,methods like robust regression(e.g.,least median of squares,least trimmed squares)and lowrank matrix decomposition show progress in maintaining data integrity.Nonlinear system identification has advanced through kernel-based methods and neural networks,which can model complex data patterns.Finally,this paper provides valuable insights into potential directions for future research.展开更多
Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly h...Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly have become structural issues related to labor market mismatch. Due to real and potential economic growth rates being consistent, cyclical unemployment is, at least for now, not striking. If traditional policy measures continue to be followed in disregard of frictional and structural attributes of the labor market to increase total employment, not only will China＇s employment issues persist but new labor market problems may arise as well China should focus on addressing structural unemployment contradictions.展开更多
A Recommender System(RS)is a crucial part of several firms,particularly those involved in e-commerce.In conventional RS,a user may only offer a single rating for an item-that is insufficient to perceive consumer prefe...A Recommender System(RS)is a crucial part of several firms,particularly those involved in e-commerce.In conventional RS,a user may only offer a single rating for an item-that is insufficient to perceive consumer preferences.Nowadays,businesses in industries like e-learning and tourism enable customers to rate a product using a variety of factors to comprehend customers’preferences.On the other hand,the collaborative filtering(CF)algorithm utilizing AutoEncoder(AE)is seen to be effective in identifying user-interested items.However,the cost of these computations increases nonlinearly as the number of items and users increases.To triumph over the issues,a novel expanded stacked autoencoder(ESAE)with Kernel Fuzzy C-Means Clustering(KFCM)technique is proposed with two phases.In the first phase of offline,the sparse multicriteria rating matrix is smoothened to a complete matrix by predicting the users’intact rating by the ESAE approach and users are clustered using the KFCM approach.In the next phase of online,the top-N recommendation prediction is made by the ESAE approach involving only the most similar user from multiple clusters.Hence the ESAE_KFCM model upgrades the prediction accuracy of 98.2%in Top-N recommendation with a minimized recommendation generation time.An experimental check on the Yahoo!Movies(YM)movie dataset and TripAdvisor(TA)travel dataset confirmed that the ESAE_KFCM model constantly outperforms conventional RS algorithms on a variety of assessment measures.展开更多
Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events ...Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events and topics from Weibo respectively,which were collected through keyword search and a crawler program.We used a semi-automatic approach to model and annotate the semantics in social media,and adapted the multi-layered ontology to refine the design based on previous researches,then we used named entity recognition(NER) to extract entities to instantiate the ontology.Relationships were extracted based on co-occurrence measures.Finally,we manually conducted post-filtering evaluation and edited the extracted entities and relationships.Findings:An initial assessment demonstrated that our multi-layered ontology supports various types of queries and analyses in the public issue knowledge base(PIKB),which can serve as an effective tool to query,understand and trace public issues.Research limitations:Manual involvement cannot meet the requirements for challenges of sustainable developments.Since the relationships extracted are fully based on the co-occurrence of entities,rich semantic relationships,such as how much the key players have been involved,could not be fully reflected.Besides,the user evaluation is necessary for further ontology assessment.Practical implications:The PIKB can be used by regular Web users and policy makers to query,understand,and make sense of public events and topics.The methodology and reusable ontology model are useful for institutions that are interested in making use of the social media data.Originality/value:In this study,a multi-layered ontology is applied to model the evolving semantics of public events and trending topics in social media,and the semi-automatic approach could make it possible to extract entities and relationships from large amount of unstructured short texts of user generated content(UGC) from social media.展开更多
This essay is a research report, which is based on results of grammatical error analysis and interviews with linguistic teachers. These researches are conducted in four language streams, namely, Chinese, Spanish, Kore...This essay is a research report, which is based on results of grammatical error analysis and interviews with linguistic teachers. These researches are conducted in four language streams, namely, Chinese, Spanish, Korean and Japanese. It will talk about problems identified in all these four language streams, with Chinese as the focus. Although according to various definitions, translation competence includes several parts, which are all required for a professional translator; this essay covers mainly the linguistic competence with tense and aspect issue as the main point. Meanwhile, some major causes of mistakes will be identified, such as interference of mother tongue, lack of second language proficiency. In the end, some possible ways for improvement are presented for reaching what are needed for a professional translator.展开更多
<div style="text-align:justify;"> <span style="font-family:Verdana;">The main objective of this research is to discuss the current legal and methodological issues in the field of softwa...<div style="text-align:justify;"> <span style="font-family:Verdana;">The main objective of this research is to discuss the current legal and methodological issues in the field of software Re-Usability. Though there are enormous online forums discussing such issues via Q&A but this paper is an attempt to raise the awareness about the legal issues, which a software engineer may trap into. The paper discussed the current issues with software reusability within the legal and methodological context. This paper applied an extensive literature review to critically appraise the past studies to come to a collective conclusion. Prior to discussing the issues, the benefits of reuse were mentioned, including the saving of time and cost for users. But legally the reuse of software assets creates complexities for the user in relation to meeting all the licensing requirements and dealing with the liability in case of a breach. Methodologically, there are major barriers to reused software when it comes to technical competence and managerial issues such as a lack of resources. Even when reusing software to save time, and leverage off the specialization of other authors, the end-user must also have the technical expertise to search, adapt and merge these reusable assets into the larger software infrastructure. The review ultimately shows the high barriers still remain to software reuse which could mean that smaller developers and businesses will still be reluctant to fully utilize open-source components to the best advantage.</span> </div>展开更多
The Second World War exerted tremendous influence on British society.The way British people think also changed to different extents.The British society was enveloped in haze and fear,while works revealing the social r...The Second World War exerted tremendous influence on British society.The way British people think also changed to different extents.The British society was enveloped in haze and fear,while works revealing the social reality were produced.Adopt⁃ing critical thinking,this essay compared‘The Destructors’and‘The Blush’to explore how the backgrounds,characters,themes and unexpected factors in respective works are related to cultural and social issues of the post-war time.It also revealed the effects of the Second World War on the society.展开更多
文摘BACKGROUND Gastrointestinal endoscopy technology has significantly improved the diagnostic accuracy and the successful treatment of gastrointestinal diseases.However,a series of ethical issues have emerged,such as expanding treatment indications,which affect the fair distribution of medical resources.There is limited research on ethical issues in the field of digestive endoscopy.AIM To investigate the level of ethical awareness among gastrointestinal endoscopy practitioners and analyze the ethical issues involved in gastrointestinal endoscopy technology.METHODS A questionnaire survey was performed to collect relevant data(gender,age,degree of education,professional title,personnel category,the level of understanding medical ethical principles,ethics training and its learning pathways)from gastrointestinal endoscopy practitioners at the Second Hospital of Dalian Medical University and Dalian Friendship Hospital,including licensed physicians and nurses(including trainees and graduate students).RESULTS The majority of gastrointestinal endoscopy practitioners have received training on ethics,but there is still considerable room for improvement in their ethical awareness.Different learning pathways may affect the mastery of ethical principles, and understanding of ethical principles is more easily achieved through hospital ethics institutions.CONCLUSIONTo address the ethical issues in gastrointestinal endoscopy technology, it is necessary to enhance the humanisticeducation of gastrointestinal endoscopy practitioners, incorporate ethical standards into the technology assessmentprocess, and establish a patient-centered diagnostic and treatment model to improve the ethical awareness of practitionersand achieve a balance between technology and ethics.
文摘The reader might rightly ask for a word on the origin of this special issue of Cultures of Science. The topic of ‘common sense’(CS) arose from an international workshop organized in September 2017 in Beijing by the then newly founded NAIS(National Academy of Innovation Strategy). As part of the developments, this very journal, Cultures of Science, was about to be launched, and the aim of the workshop was to explore future topics and issues that the journal seeks to address.
文摘在开源软件和开源平台中,开发人员可以通过提交issue来记录所发现的软件错误或提出新功能需求.由于缺乏经验、专业水平有限等原因,用户可能无法对issue内容进行准确有效地总结,导致issue标题质量较低,进而降低issue的解决效率.此外,现有的issue标题自动生成方法主要面向GitHub等英文开源平台,当应用在Gitee等国产开源平台时表现不佳.同时,现有方法主要使用issue主体描述作为输入,忽略了issue中的代码片段等重要信息.为此,本文提出一种面向Gitee平台的issue标题自动生成方法GITG(Gitee Issue Title Generation),针对包含中文和英文文本的issue,使用构建的Gitee issue数据集对支持中文的预训练模型Chinese BART(Bidirectional and Auto-Regressive Transformers)进行微调,利用issue主体描述和代码片段的双模态信息来自动生成issue标题.为验证GITG的有效性,构建了包含18242个Gitee issue样本的数据集.实验结果表明,GITG在ROUGE-1、ROUGE-2和ROUGE-L指标上相较于iTAPE和iTiger分别至少提升了13.09%、10.18%和12.84%,在BLEU和METEOR指标上同样取得了性能提升.人工评价结果表明,GITG生成标题的平均得分在整体分数、流畅性、信息性和简洁性4个评价指标上相较iTAPE和iTiger分别至少提升了26.7%、20.8%、24.2%和20.0%.
文摘Based on a comprehensive inspection and acceptance evaluation of the biological firebreak forest belt construction project in Huiyang Forest Area,this study systematically analyzes common issues encountered during the acceptance process.The findings indicate that primary challenges include low seedling survival rates,incongruities between tree species selection and site conditions,structural deficiencies within the forest belts,insufficient post-planting maintenance and management,and irregularities in documentation.To address these problems,the study proposes targeted countermeasures,such as optimizing tree species selection,enhancing supervision of planting techniques,and establishing a long-term ecological compensation-based management model.These recommendations are framed within the contexts of scientific planning,precise implementation,strengthened oversight,and innovative management mechanisms.The research aims to improve the construction quality and long-term fire prevention efficacy of biological firebreak forest belts,thereby providing practical guidance for analogous firebreak forest belt construction and acceptance initiatives in forest areas of South China.
文摘This study summarizes the examination data of registration labels for ordinary cosmetics in Beijing from May 2021 to April 2024.It analyzes and categorizes the issues identified during label evaluations,explores the underlying causes,and proposes regulatory countermeasures and recommendations for registrants,regulatory authorities,and social organizations.The objective is to offer practical insights and regulatory guidance to support the enhancement of cosmetic registration and regulatory standards.
文摘It is with profound respect and gratitude that we dedicate this special issue of the Journal of Environmental Sciences to the memory of Professor Chuanyong Jing,whose outstanding contributions to environmental sciences have advanced the field and continue to resonate with both academia and the broader environmental community.
文摘Editors Yang Wang,Xi'an Jiaotong University Dongbo Shi,Shanghai Jiaotong University Ye Sun,University College London Zhesi Shen,National Science Library,CASTopic of the Special Issue What are the top questions towards better science and innovation and the required data to answer these questions?
文摘SAMR (SAC) and relevant departments jointly issued the Report on the Standardization Achievements of the 10th Anniversary of the Belt and Road Initiative (BRI) recently, to summarize the fruitful results in promoting the connectivity of standardization among Belt and Road countries in the past 10 years.
基金supported in part by the National Natural Science Foundation of China(62373060)the BNU Talent seed fund,and the Guangdong Provincial Key Laboratory IRADS for Data Science(2022B1212010006)Recommended by Associate Editor Zhengcai Cao.(Corresponding author:Liang Zhang.)。
文摘System identification is a data-driven modeling technique that originates from the control field.It constructs models from data to mimic the behavior of dynamic systems.However,in the network era,scenarios such as sensor malfunctions,packet loss,cyber-attacks,and big data affect the quality,integrity,and security of the data.These data issues pose significant challenges to traditional system identification methods.This paper presents a comprehensive survey of the emergent challenges and advances in system identification in the network era.It explores cutting-edge methodologies to address data issues such as data loss,outliers,noise and nonlinear system identification for complex systems.To tackle the data loss,the methods based on imputation and likelihood-based inference(e.g.,expectation maximization)have been employed.For outliers and noise,methods like robust regression(e.g.,least median of squares,least trimmed squares)and lowrank matrix decomposition show progress in maintaining data integrity.Nonlinear system identification has advanced through kernel-based methods and neural networks,which can model complex data patterns.Finally,this paper provides valuable insights into potential directions for future research.
文摘Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly have become structural issues related to labor market mismatch. Due to real and potential economic growth rates being consistent, cyclical unemployment is, at least for now, not striking. If traditional policy measures continue to be followed in disregard of frictional and structural attributes of the labor market to increase total employment, not only will China＇s employment issues persist but new labor market problems may arise as well China should focus on addressing structural unemployment contradictions.
文摘A Recommender System(RS)is a crucial part of several firms,particularly those involved in e-commerce.In conventional RS,a user may only offer a single rating for an item-that is insufficient to perceive consumer preferences.Nowadays,businesses in industries like e-learning and tourism enable customers to rate a product using a variety of factors to comprehend customers’preferences.On the other hand,the collaborative filtering(CF)algorithm utilizing AutoEncoder(AE)is seen to be effective in identifying user-interested items.However,the cost of these computations increases nonlinearly as the number of items and users increases.To triumph over the issues,a novel expanded stacked autoencoder(ESAE)with Kernel Fuzzy C-Means Clustering(KFCM)technique is proposed with two phases.In the first phase of offline,the sparse multicriteria rating matrix is smoothened to a complete matrix by predicting the users’intact rating by the ESAE approach and users are clustered using the KFCM approach.In the next phase of online,the top-N recommendation prediction is made by the ESAE approach involving only the most similar user from multiple clusters.Hence the ESAE_KFCM model upgrades the prediction accuracy of 98.2%in Top-N recommendation with a minimized recommendation generation time.An experimental check on the Yahoo!Movies(YM)movie dataset and TripAdvisor(TA)travel dataset confirmed that the ESAE_KFCM model constantly outperforms conventional RS algorithms on a variety of assessment measures.
基金supported by Beijing Thinker Workshop(Grant No.XK201211001)
文摘Purpose:This study aims to construct an ontology to model the semantics of social media streams,in particular,trending topics and public issues.Design/methodology/approach:Our knowledge base included 10 public events and topics from Weibo respectively,which were collected through keyword search and a crawler program.We used a semi-automatic approach to model and annotate the semantics in social media,and adapted the multi-layered ontology to refine the design based on previous researches,then we used named entity recognition(NER) to extract entities to instantiate the ontology.Relationships were extracted based on co-occurrence measures.Finally,we manually conducted post-filtering evaluation and edited the extracted entities and relationships.Findings:An initial assessment demonstrated that our multi-layered ontology supports various types of queries and analyses in the public issue knowledge base(PIKB),which can serve as an effective tool to query,understand and trace public issues.Research limitations:Manual involvement cannot meet the requirements for challenges of sustainable developments.Since the relationships extracted are fully based on the co-occurrence of entities,rich semantic relationships,such as how much the key players have been involved,could not be fully reflected.Besides,the user evaluation is necessary for further ontology assessment.Practical implications:The PIKB can be used by regular Web users and policy makers to query,understand,and make sense of public events and topics.The methodology and reusable ontology model are useful for institutions that are interested in making use of the social media data.Originality/value:In this study,a multi-layered ontology is applied to model the evolving semantics of public events and trending topics in social media,and the semi-automatic approach could make it possible to extract entities and relationships from large amount of unstructured short texts of user generated content(UGC) from social media.
文摘This essay is a research report, which is based on results of grammatical error analysis and interviews with linguistic teachers. These researches are conducted in four language streams, namely, Chinese, Spanish, Korean and Japanese. It will talk about problems identified in all these four language streams, with Chinese as the focus. Although according to various definitions, translation competence includes several parts, which are all required for a professional translator; this essay covers mainly the linguistic competence with tense and aspect issue as the main point. Meanwhile, some major causes of mistakes will be identified, such as interference of mother tongue, lack of second language proficiency. In the end, some possible ways for improvement are presented for reaching what are needed for a professional translator.
文摘<div style="text-align:justify;"> <span style="font-family:Verdana;">The main objective of this research is to discuss the current legal and methodological issues in the field of software Re-Usability. Though there are enormous online forums discussing such issues via Q&A but this paper is an attempt to raise the awareness about the legal issues, which a software engineer may trap into. The paper discussed the current issues with software reusability within the legal and methodological context. This paper applied an extensive literature review to critically appraise the past studies to come to a collective conclusion. Prior to discussing the issues, the benefits of reuse were mentioned, including the saving of time and cost for users. But legally the reuse of software assets creates complexities for the user in relation to meeting all the licensing requirements and dealing with the liability in case of a breach. Methodologically, there are major barriers to reused software when it comes to technical competence and managerial issues such as a lack of resources. Even when reusing software to save time, and leverage off the specialization of other authors, the end-user must also have the technical expertise to search, adapt and merge these reusable assets into the larger software infrastructure. The review ultimately shows the high barriers still remain to software reuse which could mean that smaller developers and businesses will still be reluctant to fully utilize open-source components to the best advantage.</span> </div>
文摘The Second World War exerted tremendous influence on British society.The way British people think also changed to different extents.The British society was enveloped in haze and fear,while works revealing the social reality were produced.Adopt⁃ing critical thinking,this essay compared‘The Destructors’and‘The Blush’to explore how the backgrounds,characters,themes and unexpected factors in respective works are related to cultural and social issues of the post-war time.It also revealed the effects of the Second World War on the society.
