To determine the reason for the different mortality trends of ischemic heart disease (IHD) for China between Global Burden of Disease (GBD) 2010 and GBD2013, and to improve garbage code (GC) redistribution. All ...To determine the reason for the different mortality trends of ischemic heart disease (IHD) for China between Global Burden of Disease (GBD) 2010 and GBD2013, and to improve garbage code (GC) redistribution. All data were obtained from the disease surveillance points system, and two proportions for assigning chronic pulmonary heart disease (PHD) as GC to IHD were from GBD2010 and GBD2013,展开更多
Background:This study aimed to conduct a bibliometric analysis of positive mental health,focusing on citation performance,article title,abstract,author keywords,Keyword Plus,and their development trends.The novelty of...Background:This study aimed to conduct a bibliometric analysis of positive mental health,focusing on citation performance,article title,abstract,author keywords,Keyword Plus,and their development trends.The novelty of this study is a pioneer within the field of positive mental health.Therefore,it delivered new ideas for researchers and practitioners who had concerns about positive mental health in terms of trends research which covered recommended articles and the research focus in recent years.Methods:The data were retrieved on 30 April 2024 from the Social Sciences Citation Index(SSCI)of Clarivate Analytics’Web of Science Core Collection for studies published between 1992 and 2023.Results:The distribution of keywords in the article title and keywords chosen by the authors were used to assess research trends.1391 documents in SSCI were found during the search;1221 of these were document-type“articles.”524 journals published these publications.The most frequently used keywords by the writers,according to the articles’analysis,are“depression,”“resilience,”“COVID-19,”“anxiety,”and“social support.”Kristin D.Neff wrote the most frequently cited paper in 2003.Most articles came from Europe(five countries),America(two countries),Asia(two countries),and Oceania(one country),and were published in English.The majority of the research in the field of positive mental health is conducted in Europe and America,two regions where English is the primary language.The main research topics in positive mental health were related to adolescents,children,and college students.Conclusion:Trends research through bibliometric analysis by using data from Web of Science Core Collection should be followed by manual inspection to avoid errors.Therefore,scientists need more careful data examination in bibliometric analysis.展开更多
Peak oil theory is a theory concerning long-term oil reserves and the rate of oil production. Peak oil refers to the maximum rate of the production of oil or gas in any area under consideration. Its inevitability is a...Peak oil theory is a theory concerning long-term oil reserves and the rate of oil production. Peak oil refers to the maximum rate of the production of oil or gas in any area under consideration. Its inevitability is analyzed from three aspects. The factors that influence peak oil and their mechanisms are discussed. These include the amount of resources, the discovery maturity of resources, the depletion rate of reserves and the demand for oil. The advance in the study of peak oil in China is divided into three stages. The main characteristics, main researchers, forecast results and research methods are described in each stage. The progress of the study of peak oil in China is summarized and the present problems are analyzed. Finally three development trends of peak oil study in China are presented.展开更多
Purpose: We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications. Design/methodology/approach: First, topics are generat...Purpose: We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications. Design/methodology/approach: First, topics are generated from the obesity corpus by using the latent Dirichlet allocation (LDA) algorithm and time series of keyword search trends in Google Trends are obtained. We then establish the structural time series model using data from January 2004 to December 2012, and evaluate the model using data from January 2013. We employ a state-space model to separate different non-regression components in an observational time series (i.e. the tendency and the seasonality) and apply the "spike and slab prior" and stepwise regression to analyze the correlations between the regression component and the social media attention. The two parts are combined using Markov-chain Monte Carlo sampling techniques to obtain our results. Findings: The results of our study show that (1) the number of publications on child obesity increases at a lower rate than that of diabetes publications; (2) the number of publication on a given topic may exhibit a relationship with the season or time of year; and (3) there exists a correlation between the number of publications on a given topic and its social media attention, i.e. the search frequency related to that topic as identified by Google Trends. We found that our model is also able to predict the number of publications related to a given topic.展开更多
Background The Study for Monitoring Antimicrobial Resistance Trends program monitors the activity of antibiotics against aerobic and facultative Gram-negative bacilli (GNBs) from intra-abdominal infections (IAIs) ...Background The Study for Monitoring Antimicrobial Resistance Trends program monitors the activity of antibiotics against aerobic and facultative Gram-negative bacilli (GNBs) from intra-abdominal infections (IAIs) in patients worldwide.Methods In 2011,1 929 aerobic and facultative GNBs from 21 hospitals in 16 cities in China were collected.All isolates were tested using a panel of 12 antimicrobial agents,and susceptibility was determined following the Clinical Laboratory Standards Institute guidelines.Results Among the Gram-negative pathogens causing IAIs,Escherichia coli (47.3%) was the most commonly isolated,followed by Klebsiella pneumoniae (17.2%),Pseudomonas aeruginosa (10.1%),and Acinetobacter baumannii (8.3%).Enterobacteriaceae comprised 78.8% (1521/1929) of the total isolates.Among the antimicrobial agents tested,ertapenem and imipenem were the most active agents against Enterobacteriaceae,with susceptibility rates of 95.1% and 94.4%,followed by amikacin (93.9%) and piperacillin/tazobactam (87.7%).Susceptibility rates of ceftriaxone,cefotaxime,ceftazidime,and cefepime against Enterobacteriaceae were 38.3%,38.3%,61.1%,and 50.8%,respectively.The leastactive agent against Enterobacteriaceae was ampicillin/sulbactam (25.9%).The extended-spectrum β-lactamase (ESBL) rates among E.coli,K.pneumoniae,Klebsiella oxytoca,and Proteus mirabilis were 68.8%,38.1%,41.2%,and 57.7%,respectively.Conclusions Enterobacteriaceae were the major pathogens causing IAIs,and the most active agents against the study isolates (including those producing ESBLs) were ertapenem,imipenem,and amikacin.Including the carbapenems,most agents exhibited reduced susceptibility against ESBL-positive and multidrug-resistant isolates.展开更多
基金supported by the China Medical Board(grant No.12-107,15-208)China Medical Board Faculty Development Award(grant No.G16917561)China Scholarship Council(grant No.201408110083)
文摘To determine the reason for the different mortality trends of ischemic heart disease (IHD) for China between Global Burden of Disease (GBD) 2010 and GBD2013, and to improve garbage code (GC) redistribution. All data were obtained from the disease surveillance points system, and two proportions for assigning chronic pulmonary heart disease (PHD) as GC to IHD were from GBD2010 and GBD2013,
文摘Background:This study aimed to conduct a bibliometric analysis of positive mental health,focusing on citation performance,article title,abstract,author keywords,Keyword Plus,and their development trends.The novelty of this study is a pioneer within the field of positive mental health.Therefore,it delivered new ideas for researchers and practitioners who had concerns about positive mental health in terms of trends research which covered recommended articles and the research focus in recent years.Methods:The data were retrieved on 30 April 2024 from the Social Sciences Citation Index(SSCI)of Clarivate Analytics’Web of Science Core Collection for studies published between 1992 and 2023.Results:The distribution of keywords in the article title and keywords chosen by the authors were used to assess research trends.1391 documents in SSCI were found during the search;1221 of these were document-type“articles.”524 journals published these publications.The most frequently used keywords by the writers,according to the articles’analysis,are“depression,”“resilience,”“COVID-19,”“anxiety,”and“social support.”Kristin D.Neff wrote the most frequently cited paper in 2003.Most articles came from Europe(five countries),America(two countries),Asia(two countries),and Oceania(one country),and were published in English.The majority of the research in the field of positive mental health is conducted in Europe and America,two regions where English is the primary language.The main research topics in positive mental health were related to adolescents,children,and college students.Conclusion:Trends research through bibliometric analysis by using data from Web of Science Core Collection should be followed by manual inspection to avoid errors.Therefore,scientists need more careful data examination in bibliometric analysis.
文摘Peak oil theory is a theory concerning long-term oil reserves and the rate of oil production. Peak oil refers to the maximum rate of the production of oil or gas in any area under consideration. Its inevitability is analyzed from three aspects. The factors that influence peak oil and their mechanisms are discussed. These include the amount of resources, the discovery maturity of resources, the depletion rate of reserves and the demand for oil. The advance in the study of peak oil in China is divided into three stages. The main characteristics, main researchers, forecast results and research methods are described in each stage. The progress of the study of peak oil in China is summarized and the present problems are analyzed. Finally three development trends of peak oil study in China are presented.
基金supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2012-2012S1A3A2033291)the Yonsei University Future-leading Research Initiative of 2014
文摘Purpose: We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications. Design/methodology/approach: First, topics are generated from the obesity corpus by using the latent Dirichlet allocation (LDA) algorithm and time series of keyword search trends in Google Trends are obtained. We then establish the structural time series model using data from January 2004 to December 2012, and evaluate the model using data from January 2013. We employ a state-space model to separate different non-regression components in an observational time series (i.e. the tendency and the seasonality) and apply the "spike and slab prior" and stepwise regression to analyze the correlations between the regression component and the social media attention. The two parts are combined using Markov-chain Monte Carlo sampling techniques to obtain our results. Findings: The results of our study show that (1) the number of publications on child obesity increases at a lower rate than that of diabetes publications; (2) the number of publication on a given topic may exhibit a relationship with the season or time of year; and (3) there exists a correlation between the number of publications on a given topic and its social media attention, i.e. the search frequency related to that topic as identified by Google Trends. We found that our model is also able to predict the number of publications related to a given topic.
文摘Background The Study for Monitoring Antimicrobial Resistance Trends program monitors the activity of antibiotics against aerobic and facultative Gram-negative bacilli (GNBs) from intra-abdominal infections (IAIs) in patients worldwide.Methods In 2011,1 929 aerobic and facultative GNBs from 21 hospitals in 16 cities in China were collected.All isolates were tested using a panel of 12 antimicrobial agents,and susceptibility was determined following the Clinical Laboratory Standards Institute guidelines.Results Among the Gram-negative pathogens causing IAIs,Escherichia coli (47.3%) was the most commonly isolated,followed by Klebsiella pneumoniae (17.2%),Pseudomonas aeruginosa (10.1%),and Acinetobacter baumannii (8.3%).Enterobacteriaceae comprised 78.8% (1521/1929) of the total isolates.Among the antimicrobial agents tested,ertapenem and imipenem were the most active agents against Enterobacteriaceae,with susceptibility rates of 95.1% and 94.4%,followed by amikacin (93.9%) and piperacillin/tazobactam (87.7%).Susceptibility rates of ceftriaxone,cefotaxime,ceftazidime,and cefepime against Enterobacteriaceae were 38.3%,38.3%,61.1%,and 50.8%,respectively.The leastactive agent against Enterobacteriaceae was ampicillin/sulbactam (25.9%).The extended-spectrum β-lactamase (ESBL) rates among E.coli,K.pneumoniae,Klebsiella oxytoca,and Proteus mirabilis were 68.8%,38.1%,41.2%,and 57.7%,respectively.Conclusions Enterobacteriaceae were the major pathogens causing IAIs,and the most active agents against the study isolates (including those producing ESBLs) were ertapenem,imipenem,and amikacin.Including the carbapenems,most agents exhibited reduced susceptibility against ESBL-positive and multidrug-resistant isolates.