OBJECTIVE： A meta-analysis of published randomized controlled trials investigating the long- term effect of dexamethasone on the nervous system of preterm infants. DATA SOURCES： Online literature retrieval was condu...OBJECTIVE： A meta-analysis of published randomized controlled trials investigating the long- term effect of dexamethasone on the nervous system of preterm infants. DATA SOURCES： Online literature retrieval was conducted using The Cochrane Library （from January 1993 to June 2013）, EMBASE （from January 1980 to June 2013）, MEDLINE （from Janu- ary 1963 to June 2013）, OVID （from January 1993 to June 2013）, Springer （from January 1994 to June 2013） and Chinese Academic Journal Full-text Database （from January 1994 to June 2013）. Key words were preterm infants and dexamethasone in English and Chinese. STUDY SELECTION： Selected studies were randomized controlled trials assessing the effect of intravenous dexamethasone in preterm infants. The quality of the included papers was evaluated and those without the development of the nervous system and animal experiments were exclud- ed. Quality assessment was performed through bias risk evaluation in accordance with Cochrane Handbook 5.1.0 software in the Cochrane Collaboration. The homogeneous studies were analyzed and compared using Revman 5.2.6 software, and then effect model was selected and analyzed. Those papers failed to be included in the meta-analysis were subjected to descriptive analysis. MAIN OUTCOME MEASURES： Nervous system injury in preterm infants. RESULTS： Ten randomized controlled trials were screened, involving 1,038 subjects. Among them 512 cases received dexamethasone treatment while 526 cases served as placebo control group and blank control group. Meta-analysis results showed that the incidence of cerebral palsy, visual im- pairment and hearing loss in preterm infants after dexamethasone treatment within 7 days after birth was similar to that in the control group （RR = 1.47, 95%CI： 0.97-2.21; RR = 1.46, 95%CI： 0.97-2.20; RR = 0.80, 95%CI： 0.54-1.18; P 〉 0.05）, but intelligence quotient was significantly de- creased compared with the control group （MD = -3.55, 95%CI： -6.59 to -0.51; P = 0.02）. Prete rm infants treated with dexamethasone 7 days after birth demonstrated an incidence of cerebral palsy and visual impairment, and changes in intelligence quotient similar to those in the control group （RR = 1.26, 95%CI： 0.89-1.79; RR = 1.37, 95%CI： 0.73-2.59; RR = 0.53, 95%CI： 0.32-0.89; RR = 1.66, 95%CI： -4.7 to 8.01; P 〉 0.05）. However, the incidence of hearing loss was significantly increased compared with that in the control group （RR = 0.53, 95%CI： 0.32-0.89; P = 0.02）. CONCLUSION： Dexamethasone may affect the intelligence of preterm infants in the early stages after birth, but may lead to hearing impairment at later stages after birth. More reliable conclusions should be made through large-size, multi-center, well-designed randomized controlled trials.展开更多
While chemistry is popular for children of primary school age, its popularity drops dramatically in secondary schools. A potential solution to address this is to recognise the need for greater relevance-relevance to t...While chemistry is popular for children of primary school age, its popularity drops dramatically in secondary schools. A potential solution to address this is to recognise the need for greater relevance-relevance to the curriculum, to the needs of society and, in the eyes of the students. The paper tries to puts forward a rethink of the philosophy for school chemistry education, based on the underlying belief that chemistry education is an integral part of education. The target is labelled scientific and technological literacy for all (STL). STL rejects the notion that chemistry is taught solely to acquire the abilities to be a scientist and supports the vision of a single curriculum goal, applicable to all students. Besides being a philosophy, STL is also a teaching approach. This approach is to initiate the teaching of chemistry topics, starting from a carefully chosen society perspective and to introduce the conceptual learning on a need-to-know basis. A limitation is the professional development of teachers. Suggestion for overcoming this involve workshop on materials development. A concern is expressed in cases where teachers make use of ready-made teaching materials (a common practice), without first gaining an understanding and an appreciation of the intended philosophy related to these materials.展开更多
Purpose:Social media users share their ideas,thoughts,and emotions with other users.However,it is not clear how online users would respond to new re search outcomes.This study aims to predict the nature of the emotion...Purpose:Social media users share their ideas,thoughts,and emotions with other users.However,it is not clear how online users would respond to new re search outcomes.This study aims to predict the nature of the emotions expressed by Twitter users toward scientific publications.Additionally,we investigate what features of the research articles help in such prediction.Identifying the sentiments of research articles on social media will help scientists gauge a new societal impact of their research articles.Design/methodology/appro ach:Several tools are used for sentiment analysis,so we applied five sentiment analysis tools to check which are suitable for capturing a tweet’s sentiment value and decided to use NLTK VADER and TextBlob.We segregated the sentiment value into negative,positive,and neutral.We measure the mean and median of tweets’sentiment value for research articles with more than one tweet.We next built machine learning models to predict the sentiments of tweets related to scientific publications and investigated the essential features that controlled the prediction models.Findings:We found that the most important feature in all the models was the sentiment of the research article title followed by the author count.We observed that the tree-based models performed better than other classification models,with Random Forest achieving 89%accuracy for binary clas sification and 73%accuracy for three-label clas sification.Research limitations:In this research,we used state-of-the-art sentiment analysis libraries.However,these libraries might vary at times in their sentiment prediction behavior.Tweet sentiment may be influenced by a multitude of circumstances and is not always immediately tied to the paper’s details.In the future,we intend to broaden the scope of our research by employing word2 vec models.Practical implications:Many studies have focused on understanding the impact of science on scientists or how science communicators can improve their outcomes.Research in this area has relied on fewer and more limited measures,such as citations and user studies with small datasets.There is currently a critical need to find novel methods to quantify and evaluate the broader impact of research.This study will help scientists better comprehend the emotional impact of their work.Additionally,the value of understanding the public’s interest and reactions helps science communicators identify effective ways to engage with the public and build positive connections between scientific communities and the public.Originality/value:This study will extend work on public engagement with science,sociology of science,and computational social science.It will enable researchers to identify areas in which there is a gap between public and expert understanding and provide strategies by which this gap can be bridged.展开更多
Corpus-based translation studies belong to a new translation study paradigm which rose at the beginning of 1990 s.The rise of corpus brings the update of research tools and research methods, and lead to the emerging o...Corpus-based translation studies belong to a new translation study paradigm which rose at the beginning of 1990 s.The rise of corpus brings the update of research tools and research methods, and lead to the emerging of Corpus Translation Studies. It is necessary to introduce the theory basis of Translational English Corpus and its application in the translation, especially in the science and technology translation. Besides, it makes an analysis and discussion about the potential of Corpus Translation Studies.展开更多
作为当今世界科技的最前沿领域,量子科技的发展正在带来颠覆性和革命性的科学发现和科技发明,这无疑将推动人类社会实现跨越式发展。以美国、欧盟等为代表的世界发达国家和地区都在加大对量子科技的投入、加速研发进度,在这一进程中,产...作为当今世界科技的最前沿领域,量子科技的发展正在带来颠覆性和革命性的科学发现和科技发明,这无疑将推动人类社会实现跨越式发展。以美国、欧盟等为代表的世界发达国家和地区都在加大对量子科技的投入、加速研发进度,在这一进程中,产学研联盟成为很多国家和地区建设量子创新生态系统的战略性抓手。本文调研分析了美国量子经济发展联盟(Quantum Economic Development Consortium,QED-C)、欧盟量子旗舰社区两个在国际上具有代表性和重大影响力的产学研联盟和协同社区,从成员构成、组织结构、运行模式、使命、目标、愿景、关键举措等角度,系统研究和解析了其构建模式和协同特征。同时结合中国量子科技领域的联盟发展现状及问题,从整体性战略发展规划、开放式创新生态系统构建、主体泛化的联盟与社区培育、具备社群机制的科学教育与科学传播群体四个维度对量子科技的发展提出实效建议。展开更多
基金supported by the Science and Technology Plan Program of Hunan Province,No.2011SK3234
文摘OBJECTIVE： A meta-analysis of published randomized controlled trials investigating the long- term effect of dexamethasone on the nervous system of preterm infants. DATA SOURCES： Online literature retrieval was conducted using The Cochrane Library （from January 1993 to June 2013）, EMBASE （from January 1980 to June 2013）, MEDLINE （from Janu- ary 1963 to June 2013）, OVID （from January 1993 to June 2013）, Springer （from January 1994 to June 2013） and Chinese Academic Journal Full-text Database （from January 1994 to June 2013）. Key words were preterm infants and dexamethasone in English and Chinese. STUDY SELECTION： Selected studies were randomized controlled trials assessing the effect of intravenous dexamethasone in preterm infants. The quality of the included papers was evaluated and those without the development of the nervous system and animal experiments were exclud- ed. Quality assessment was performed through bias risk evaluation in accordance with Cochrane Handbook 5.1.0 software in the Cochrane Collaboration. The homogeneous studies were analyzed and compared using Revman 5.2.6 software, and then effect model was selected and analyzed. Those papers failed to be included in the meta-analysis were subjected to descriptive analysis. MAIN OUTCOME MEASURES： Nervous system injury in preterm infants. RESULTS： Ten randomized controlled trials were screened, involving 1,038 subjects. Among them 512 cases received dexamethasone treatment while 526 cases served as placebo control group and blank control group. Meta-analysis results showed that the incidence of cerebral palsy, visual im- pairment and hearing loss in preterm infants after dexamethasone treatment within 7 days after birth was similar to that in the control group （RR = 1.47, 95%CI： 0.97-2.21; RR = 1.46, 95%CI： 0.97-2.20; RR = 0.80, 95%CI： 0.54-1.18; P 〉 0.05）, but intelligence quotient was significantly de- creased compared with the control group （MD = -3.55, 95%CI： -6.59 to -0.51; P = 0.02）. Prete rm infants treated with dexamethasone 7 days after birth demonstrated an incidence of cerebral palsy and visual impairment, and changes in intelligence quotient similar to those in the control group （RR = 1.26, 95%CI： 0.89-1.79; RR = 1.37, 95%CI： 0.73-2.59; RR = 0.53, 95%CI： 0.32-0.89; RR = 1.66, 95%CI： -4.7 to 8.01; P 〉 0.05）. However, the incidence of hearing loss was significantly increased compared with that in the control group （RR = 0.53, 95%CI： 0.32-0.89; P = 0.02）. CONCLUSION： Dexamethasone may affect the intelligence of preterm infants in the early stages after birth, but may lead to hearing impairment at later stages after birth. More reliable conclusions should be made through large-size, multi-center, well-designed randomized controlled trials.
文摘While chemistry is popular for children of primary school age, its popularity drops dramatically in secondary schools. A potential solution to address this is to recognise the need for greater relevance-relevance to the curriculum, to the needs of society and, in the eyes of the students. The paper tries to puts forward a rethink of the philosophy for school chemistry education, based on the underlying belief that chemistry education is an integral part of education. The target is labelled scientific and technological literacy for all (STL). STL rejects the notion that chemistry is taught solely to acquire the abilities to be a scientist and supports the vision of a single curriculum goal, applicable to all students. Besides being a philosophy, STL is also a teaching approach. This approach is to initiate the teaching of chemistry topics, starting from a carefully chosen society perspective and to introduce the conceptual learning on a need-to-know basis. A limitation is the professional development of teachers. Suggestion for overcoming this involve workshop on materials development. A concern is expressed in cases where teachers make use of ready-made teaching materials (a common practice), without first gaining an understanding and an appreciation of the intended philosophy related to these materials.
文摘Purpose:Social media users share their ideas,thoughts,and emotions with other users.However,it is not clear how online users would respond to new re search outcomes.This study aims to predict the nature of the emotions expressed by Twitter users toward scientific publications.Additionally,we investigate what features of the research articles help in such prediction.Identifying the sentiments of research articles on social media will help scientists gauge a new societal impact of their research articles.Design/methodology/appro ach:Several tools are used for sentiment analysis,so we applied five sentiment analysis tools to check which are suitable for capturing a tweet’s sentiment value and decided to use NLTK VADER and TextBlob.We segregated the sentiment value into negative,positive,and neutral.We measure the mean and median of tweets’sentiment value for research articles with more than one tweet.We next built machine learning models to predict the sentiments of tweets related to scientific publications and investigated the essential features that controlled the prediction models.Findings:We found that the most important feature in all the models was the sentiment of the research article title followed by the author count.We observed that the tree-based models performed better than other classification models,with Random Forest achieving 89%accuracy for binary clas sification and 73%accuracy for three-label clas sification.Research limitations:In this research,we used state-of-the-art sentiment analysis libraries.However,these libraries might vary at times in their sentiment prediction behavior.Tweet sentiment may be influenced by a multitude of circumstances and is not always immediately tied to the paper’s details.In the future,we intend to broaden the scope of our research by employing word2 vec models.Practical implications:Many studies have focused on understanding the impact of science on scientists or how science communicators can improve their outcomes.Research in this area has relied on fewer and more limited measures,such as citations and user studies with small datasets.There is currently a critical need to find novel methods to quantify and evaluate the broader impact of research.This study will help scientists better comprehend the emotional impact of their work.Additionally,the value of understanding the public’s interest and reactions helps science communicators identify effective ways to engage with the public and build positive connections between scientific communities and the public.Originality/value:This study will extend work on public engagement with science,sociology of science,and computational social science.It will enable researchers to identify areas in which there is a gap between public and expert understanding and provide strategies by which this gap can be bridged.
文摘Corpus-based translation studies belong to a new translation study paradigm which rose at the beginning of 1990 s.The rise of corpus brings the update of research tools and research methods, and lead to the emerging of Corpus Translation Studies. It is necessary to introduce the theory basis of Translational English Corpus and its application in the translation, especially in the science and technology translation. Besides, it makes an analysis and discussion about the potential of Corpus Translation Studies.
文摘作为当今世界科技的最前沿领域,量子科技的发展正在带来颠覆性和革命性的科学发现和科技发明,这无疑将推动人类社会实现跨越式发展。以美国、欧盟等为代表的世界发达国家和地区都在加大对量子科技的投入、加速研发进度,在这一进程中,产学研联盟成为很多国家和地区建设量子创新生态系统的战略性抓手。本文调研分析了美国量子经济发展联盟(Quantum Economic Development Consortium,QED-C)、欧盟量子旗舰社区两个在国际上具有代表性和重大影响力的产学研联盟和协同社区,从成员构成、组织结构、运行模式、使命、目标、愿景、关键举措等角度,系统研究和解析了其构建模式和协同特征。同时结合中国量子科技领域的联盟发展现状及问题,从整体性战略发展规划、开放式创新生态系统构建、主体泛化的联盟与社区培育、具备社群机制的科学教育与科学传播群体四个维度对量子科技的发展提出实效建议。
