"Digital Earth"is a leap in the process of mankind learning about the Earth after the great geographical discovery of Copernicus,Galileoi’s heliocentric theory.Currently a series of problems like nature res..."Digital Earth"is a leap in the process of mankind learning about the Earth after the great geographical discovery of Copernicus,Galileoi’s heliocentric theory.Currently a series of problems like nature resources,environment,zoology and disaster have threatened the survival and development of mankind. In recent years,long term and solid展开更多
The utilization of big Earth data has provided insights into the planet we inhabit in unprecedented dimensions and scales.Unraveling the concealed causal connections within intricate data holds paramount importance fo...The utilization of big Earth data has provided insights into the planet we inhabit in unprecedented dimensions and scales.Unraveling the concealed causal connections within intricate data holds paramount importance for attaining a profound comprehension of the Earth system.Statistical methods founded on correlation have predominated in Earth system science(ESS)for a long time.Nevertheless,correlation does not imply causation,especially when confronted with spurious correlations resulting from big data.Consequently,traditional correlation and regression methods are inadequate for addressing causation related problems in the Earth system.In recent years,propelled by advancements in causal theory and inference methods,particularly the maturity of causal discovery and causal graphical models,causal inference has demonstrated vigorous vitality in various research directions in the Earth system,such as regularities revealing,processes understanding,hypothesis testing,and physical models improving.This paper commences by delving into the origins,connotations,and development of causality,subsequently outlining the principal frameworks of causal inference and the commonly used methods in ESS.Additionally,it reviews the applications of causal inference in the main branches of the Earth system and summarizes the challenges and development directions of causal inference in ESS.In the big Earth data era,as an important method of big data analysis,causal inference,along with physical model and machine learning,can assist the paradigm transformation of ESS from a model-driven paradigm to a paradigm of integration of both mechanism and data.Looking forward,the establishment of a meticulously structured and normalized causal theory can act as a foundational cornerstone for fostering causal cognition in ESS and propel the leap from fragmented research towards a comprehensive understanding of the Earth system.展开更多
Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes.Interdisciplinary research is challenging since it demands the integration of scientific s...Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes.Interdisciplinary research is challenging since it demands the integration of scientific schemes and practices from different research fields into a collaborative work environment.This paper introduces the framework F4ESS that supports this integration.F4ESS provides methods and technologies that facilitate the development of integrative work environments for Earth system science.F4ESS enables scientists a)to outline structured and summarized descriptions of scientific procedures to facilitate communication and synthesis,b)to combine a large variety of distributed data analysis software into seamless data analysis chains and workflows,c)to visually combine and interactively explore the manifold spatiotemporal data and results to support understanding and knowledge creation.The F4ESS methods and technologies are generic and can be applied in various scientific fields.We discuss F4EsS in the context of the interdisciplinary investigation of flood events.展开更多
Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its i...Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its installation and application. In particular, many countries suffering water deficits are economically underdeveloped and cannot afford the technology. As this technology, which changes seawater into freshwater, has little environmental impact, developed countries will need to assist less developed countries to introduce this technology as a humanitarian effort. This will help reduce the number of countries that have experienced difficulty with development.展开更多
Models and observations are two fundamental methodological approaches in Earth system science(ESS). They evolve collaboratively and enhance one another. However, neither of these two approaches is perfect, and they ha...Models and observations are two fundamental methodological approaches in Earth system science(ESS). They evolve collaboratively and enhance one another. However, neither of these two approaches is perfect, and they have incompatibilities due to their methodological differences. The emergence of data assimilation(DA) has enabled these two approaches to develop in conjunction and form a harmonic ESS methodology. As a result, DA has shown a fresh vitality and applicability in ESS. This paper reviews the application of DA in the main branches of ESS, traces the coordinated evolution of DA with the methodologies of rationalism and empiricism, analyzes the relationships of DA with estimation theory and cybernetics, summarizes the advances of DA in China, and presents an outlook on the challenges facing the development of a uniform DA for ESS. DA theories and methods will continue to evolve and provide an increasingly mature methodology for enhancing the understanding and prediction of Earth as a system.展开更多
The Nobel Prize in Physics 2021 was awarded jointly to Syukuro Manabe,Klaus Hasselmann,and Giorgio Parisi for their groundbreaking contributions to our understanding of complex systems.This is the first time that clim...The Nobel Prize in Physics 2021 was awarded jointly to Syukuro Manabe,Klaus Hasselmann,and Giorgio Parisi for their groundbreaking contributions to our understanding of complex systems.This is the first time that climate scientists were awarded the Nobel Physics Prize.Here,we present the evolution of climate science in the past~200 years and highlight the landmarks of the developments in advancing our understanding of climate change,placing the pioneering contributions of Manabe and Hasselmann into a historical perspective.The backbone of modern climate science is further discussed in the context of the development of the discipline from the discovery of the greenhouse effect to the formation of Earth system science.Perspectives on the future development of climate science are also`presented.展开更多
低温逆境已成为限制全球小麦稳产丰产与优质的主要农业气象灾害之一。为客观全面地了解全球小麦低温逆境领域的研究现状和发展趋势,基于Web of Science核心数据库中2000-2020年发表的以“小麦”和“低温”为研究主题的相关文献为数据源...低温逆境已成为限制全球小麦稳产丰产与优质的主要农业气象灾害之一。为客观全面地了解全球小麦低温逆境领域的研究现状和发展趋势,基于Web of Science核心数据库中2000-2020年发表的以“小麦”和“低温”为研究主题的相关文献为数据源,利用CiteSpace可视化分析软件对检索到与主题密切相关的475篇文献从发文数量、发文国家、发文作者、研究机构、研究热点等方面进行统计分析。结果表明:自2000年以来,小麦低温逆境领域年发文数量总体呈波动上升趋势;以中国、美国和加拿大等国家为代表的农业大国均致力于该领域的研究;美国学者Skin⁃ner是该领域发文量最多的作者,与其他学者合作密切的有李向楠和Fowler;该领域文献多发表于《Molecular Genetics and Genomics》和《Annual Review of Plant Biology》等优质期刊上;俄罗斯科学院是该领域发文量最多的科研机构;耐低温小麦新品种培育、耐寒分子生物学研究以及提高小麦产质量等方面成为该领域的研究热点。展开更多
为进一步了解水稻土土壤微生物领域的研究进展和未来发展趋势,基于Web of Science数据库,采用文献计量学的分析方法,分析了2014-2023年水稻土土壤微生物领域文章。结果表明,2014-2023年全球范围内关于水稻土土壤微生物发表文章数量共计...为进一步了解水稻土土壤微生物领域的研究进展和未来发展趋势,基于Web of Science数据库,采用文献计量学的分析方法,分析了2014-2023年水稻土土壤微生物领域文章。结果表明,2014-2023年全球范围内关于水稻土土壤微生物发表文章数量共计768篇,其中美国、印度、中国发文量排在前3位;研究机构中法国国家科学研究中心位居首位,发文量达36篇;中国科学院位列第二,发文量为33篇。该领域研究论文主要发表在Frontiers in Microbiology、Microorganisms和Frontiers in Plant Science;研究学科包括微生物学、农学、分子生物学等相关学科。展开更多
目的:运用文献计量学方法分析男男性行为(MSM)相关艾滋病的研究现状、前沿热点和研究趋势,为艾滋病防治研究提供借鉴。方法:计算机检索并收集Web of Science核心合集数据库中与MSM相关艾滋病有关的文献,运用CiteSpace软件进行作者合作...目的:运用文献计量学方法分析男男性行为(MSM)相关艾滋病的研究现状、前沿热点和研究趋势,为艾滋病防治研究提供借鉴。方法:计算机检索并收集Web of Science核心合集数据库中与MSM相关艾滋病有关的文献,运用CiteSpace软件进行作者合作分析、机构分布分析,并绘制关键词共现和聚类知识图谱。结果:共纳入MSM相关艾滋病研究文献5221篇,发文量整体呈现上升趋势,发文量最多的国家是美国,发文量最多的机构是加利福尼亚大学旧金山分校,发文量最大的期刊是AIDS and Behavior,Mayer是核心作者,纳入研究的高频关键词为HIV/AIDS,gay men,infection,risk behavior,prevention。结论:MSM相关艾滋病的研究处于积极状态,研究主题丰富,热点集中,作者合作度高。未来还需继续探索积极有效的干预措施,早期和全面识别具有感染风险的MSM人群,快速启动抗逆转录病毒治疗,注重MSM人群心理健康,构建良好的社会支持和照护系统。展开更多
目的通过文献计量学分析术后谵妄的研究现状、趋势和热点,为国内外研究提供新思路。方法检索Web of Science核心数据库中2002-2022年发表的术后谵妄相关文献(检索日期为2023年7月10日),对年度发表量、引用频率、发文国家、机构、期刊、...目的通过文献计量学分析术后谵妄的研究现状、趋势和热点,为国内外研究提供新思路。方法检索Web of Science核心数据库中2002-2022年发表的术后谵妄相关文献(检索日期为2023年7月10日),对年度发表量、引用频率、发文国家、机构、期刊、作者、关键词、研究方向等方面进行分析,并运用CiteSpace软件对文献的总体特征性进行可视化分析。结果共纳入1208篇文献,2002-2022年术后谵妄相关文献年发表量呈上升趋势;美国是发文最多的国家,其次是中国;发文量前两位作者是Inouye Sharon和Marcantonio Edward R;发文最多的机构是哈佛大学;老年、长期住院、癌症、疼痛、髋关节骨折、心脏手术、腹部大手术和重症监护患者是术后谵妄研究的热点群体。术后谵妄预测模型的建立、预防性系统管理模型、患者远期结局等方面都具有较高的关注度。结论术后谵妄的研究正逐步增加,但是我国和发达国家仍存在一定差距。针对术后谵妄的系统规范性评估、预防、治疗是未来重点关注的研究方向。展开更多
目的基于Web of Science(WOS)数据库分析生酮饮食相关文献,明确该领域的研究热点与趋势。方法基于WOS核心数据库检索生酮饮食相关文献,时间范围为2013年1月1日—2022年12月31日。应用文献计量学方法和CiteSpace软件,对国家/地区、研究...目的基于Web of Science(WOS)数据库分析生酮饮食相关文献,明确该领域的研究热点与趋势。方法基于WOS核心数据库检索生酮饮食相关文献,时间范围为2013年1月1日—2022年12月31日。应用文献计量学方法和CiteSpace软件,对国家/地区、研究机构、发表期刊、关键词等文献特征进行统计学分析。结果本研究共获取有效文献4548篇,包括论著3317篇、综述1231篇。2013—2022年生酮饮食研究领域的发文量总体呈增长趋势,并于2021年达到峰值(756篇);年被引频次呈逐年增长趋势,于2022年达到峰值(25643次)。该领域发文量最多的国家和研究机构分别为美国(1695篇,占37.27%)和约翰·霍普金斯大学(88篇,占1.93%),且研究机构以高校为主。Nutrients载文量最多(241篇,占5.30%),Epilepsia的篇均被引频次最高(33.19次)。被引频次前10位的文献中,5篇文献阐述了酮体在疾病治疗中的代谢与作用机制,4篇文献的研究主题与癫痫相关。研究热点包括生酮饮食在癫痫与肥胖治疗中的应用和疗效评价,酮体的脂肪酸氧化、代谢、氧化应激、Warburg效应等常见调控机制,肠道菌群介导生酮饮食的作用研究;研究趋势为生酮饮食在心力衰竭中的应用前景。结论生酮饮食已被应用于多种疾病的治疗中,且其全球关注度持续增长,后续研究热点应聚焦于临床试验,以验证其临床疗效与耐受性。展开更多
Huaiyin Institute of Technology is taken as the research object.The content of horticulture curriculum system under the background of new agricultural science is constructed and elaborated,including theoretical curric...Huaiyin Institute of Technology is taken as the research object.The content of horticulture curriculum system under the background of new agricultural science is constructed and elaborated,including theoretical curriculum system of"three platforms and seven curriculum groups"and practice system of"two platforms,three levels and four modules".Moreover,the quality assurance strategy of the curriculum system is discussed from three angles of enhancing professional emotion,enhancing professional practice and strengthening innovation ability,to reach the training objective of outstanding applied horticultural talents under the background of new agricultural science.展开更多
The soil freezing and thawing process affects soil physical properties,such as heat conductivity,heat capacity,and hydraulic conductivity in frozen ground regions,and further affects the processes of soil energy,hydro...The soil freezing and thawing process affects soil physical properties,such as heat conductivity,heat capacity,and hydraulic conductivity in frozen ground regions,and further affects the processes of soil energy,hydrology,and carbon and nitrogen cycles.In this study,the calculation of freezing and thawing front parameterization was implemented into the earth system model of the Chinese Academy of Sciences(CAS-ESM)and its land component,the Common Land Model(CoLM),to investigate the dynamic change of freezing and thawing fronts and their effects.Our results showed that the developed models could reproduce the soil freezing and thawing process and the dynamic change of freezing and thawing fronts.The regionally averaged value of active layer thickness in the permafrost regions was 1.92 m,and the regionally averaged trend value was 0.35 cm yr–1.The regionally averaged value of maximum freezing depth in the seasonally frozen ground regions was 2.15 m,and the regionally averaged trend value was–0.48 cm yr–1.The active layer thickness increased while the maximum freezing depth decreased year by year.These results contribute to a better understanding of the freezing and thawing cycle process.展开更多
This paper is centered on the extent to which contemporary Chinese science fiction is related to ancient Chinese mythologies according to the previous scholarly discussion and how these ancient mythologies are utilize...This paper is centered on the extent to which contemporary Chinese science fiction is related to ancient Chinese mythologies according to the previous scholarly discussion and how these ancient mythologies are utilized specifically in the futuristic narratives of modern Chinese science fiction.By referring to academic dialogues,this paper argues that ancient mythologies can be recreated in modern science fiction and create modern mythologies in futuristic narratives to present or deal with modern human fears.Based on this argument,this paper then continues to explore what kinds of modern mythologies science fiction might deliver.The Chinese film The Wandering Earth(2019)will be discussed in terms of its mythological symbols and metaphors.This paper proposes a new approach through which to reconnect past stories with futuristic narratives and builds a frame in which to contextualize ancient mythologies in contemporary Chinese culture.展开更多
This paper provides a systematic evaluation of the ability of 12 Earth System Models(ESMs)participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)to simulate the spatial inhomogeneity of the atmospher...This paper provides a systematic evaluation of the ability of 12 Earth System Models(ESMs)participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)to simulate the spatial inhomogeneity of the atmospheric carbon dioxide(CO_(2))concentration.The multi-model ensemble mean(MME)can reasonably simulate the increasing trend of CO_(2) concentration from 1850 to 2014,compared with the observation data from the Scripps CO_(2) Program and CMIP6 prescribed data,and improves upon the CMIP5 MME CO_(2) concentration(which is overestimated after 1950).The growth rate of CO_(2) concentration in the northern hemisphere(NH)is higher than that in the southern hemisphere(SH),with the highest growth rate in the mid-latitudes of the NH.The MME can also reasonably simulate the seasonal amplitude of CO_(2) concentration,which is larger in the NH than in the SH and grows in amplitude after the 1950s(especially in the NH).Although the results of the MME are reasonable,there is a large spread among ESMs,and the difference between the ESMs increases with time.The MME results show that regions with relatively large CO_(2) concentrations(such as northern Russia,eastern China,Southeast Asia,the eastern United States,northern South America,and southern Africa)have greater seasonal variability and also exhibit a larger inter-model spread.Compared with CMIP5,the CMIP6 MME simulates an average spatial distribution of CO_(2) concentration that is much closer to the site observations,but the CMIP6-inter-model spread is larger.The inter-model differences of the annual means and seasonal cycles of atmospheric CO_(2) concentration are both attributed to the differences in natural sources and sinks of CO_(2) between the simulations.展开更多
Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of di...Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.展开更多
文摘"Digital Earth"is a leap in the process of mankind learning about the Earth after the great geographical discovery of Copernicus,Galileoi’s heliocentric theory.Currently a series of problems like nature resources,environment,zoology and disaster have threatened the survival and development of mankind. In recent years,long term and solid
基金supported by the Basic Science Center for Tibetan Plateau Earth System(BCTPES,NSFC project Grant Nos.41988101)the National Natural Science Foundation of China(Grant No.42101397)。
文摘The utilization of big Earth data has provided insights into the planet we inhabit in unprecedented dimensions and scales.Unraveling the concealed causal connections within intricate data holds paramount importance for attaining a profound comprehension of the Earth system.Statistical methods founded on correlation have predominated in Earth system science(ESS)for a long time.Nevertheless,correlation does not imply causation,especially when confronted with spurious correlations resulting from big data.Consequently,traditional correlation and regression methods are inadequate for addressing causation related problems in the Earth system.In recent years,propelled by advancements in causal theory and inference methods,particularly the maturity of causal discovery and causal graphical models,causal inference has demonstrated vigorous vitality in various research directions in the Earth system,such as regularities revealing,processes understanding,hypothesis testing,and physical models improving.This paper commences by delving into the origins,connotations,and development of causality,subsequently outlining the principal frameworks of causal inference and the commonly used methods in ESS.Additionally,it reviews the applications of causal inference in the main branches of the Earth system and summarizes the challenges and development directions of causal inference in ESS.In the big Earth data era,as an important method of big data analysis,causal inference,along with physical model and machine learning,can assist the paradigm transformation of ESS from a model-driven paradigm to a paradigm of integration of both mechanism and data.Looking forward,the establishment of a meticulously structured and normalized causal theory can act as a foundational cornerstone for fostering causal cognition in ESS and propel the leap from fragmented research towards a comprehensive understanding of the Earth system.
基金supported by The Initiative and Networking Fund of the Helmholtz Association:[Grant Number].
文摘Earth system science is an interdisciplinary effort to understand the fundamentals and interactions of environmental processes.Interdisciplinary research is challenging since it demands the integration of scientific schemes and practices from different research fields into a collaborative work environment.This paper introduces the framework F4ESS that supports this integration.F4ESS provides methods and technologies that facilitate the development of integrative work environments for Earth system science.F4ESS enables scientists a)to outline structured and summarized descriptions of scientific procedures to facilitate communication and synthesis,b)to combine a large variety of distributed data analysis software into seamless data analysis chains and workflows,c)to visually combine and interactively explore the manifold spatiotemporal data and results to support understanding and knowledge creation.The F4ESS methods and technologies are generic and can be applied in various scientific fields.We discuss F4EsS in the context of the interdisciplinary investigation of flood events.
文摘Desalination is emerging as a promising alternative among various technologies to resolve water shortage. However, desalination requires a sufficient energy and cooling device and therefore poses limitations for its installation and application. In particular, many countries suffering water deficits are economically underdeveloped and cannot afford the technology. As this technology, which changes seawater into freshwater, has little environmental impact, developed countries will need to assist less developed countries to introduce this technology as a humanitarian effort. This will help reduce the number of countries that have experienced difficulty with development.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA19070104)the National Natural Science Foundation of China (Grant Nos. 41801270 and 41701046)the 13th Five-year Informatization Plan of the Chinese Academy of Sciences (Grant No. XXH13505-06)。
文摘Models and observations are two fundamental methodological approaches in Earth system science(ESS). They evolve collaboratively and enhance one another. However, neither of these two approaches is perfect, and they have incompatibilities due to their methodological differences. The emergence of data assimilation(DA) has enabled these two approaches to develop in conjunction and form a harmonic ESS methodology. As a result, DA has shown a fresh vitality and applicability in ESS. This paper reviews the application of DA in the main branches of ESS, traces the coordinated evolution of DA with the methodologies of rationalism and empiricism, analyzes the relationships of DA with estimation theory and cybernetics, summarizes the advances of DA in China, and presents an outlook on the challenges facing the development of a uniform DA for ESS. DA theories and methods will continue to evolve and provide an increasingly mature methodology for enhancing the understanding and prediction of Earth as a system.
基金supported by the National Natural Science Foundation of China(Grant No.41988101)K.C.Wong Education Foundation。
文摘The Nobel Prize in Physics 2021 was awarded jointly to Syukuro Manabe,Klaus Hasselmann,and Giorgio Parisi for their groundbreaking contributions to our understanding of complex systems.This is the first time that climate scientists were awarded the Nobel Physics Prize.Here,we present the evolution of climate science in the past~200 years and highlight the landmarks of the developments in advancing our understanding of climate change,placing the pioneering contributions of Manabe and Hasselmann into a historical perspective.The backbone of modern climate science is further discussed in the context of the development of the discipline from the discovery of the greenhouse effect to the formation of Earth system science.Perspectives on the future development of climate science are also`presented.
文摘低温逆境已成为限制全球小麦稳产丰产与优质的主要农业气象灾害之一。为客观全面地了解全球小麦低温逆境领域的研究现状和发展趋势,基于Web of Science核心数据库中2000-2020年发表的以“小麦”和“低温”为研究主题的相关文献为数据源,利用CiteSpace可视化分析软件对检索到与主题密切相关的475篇文献从发文数量、发文国家、发文作者、研究机构、研究热点等方面进行统计分析。结果表明:自2000年以来,小麦低温逆境领域年发文数量总体呈波动上升趋势;以中国、美国和加拿大等国家为代表的农业大国均致力于该领域的研究;美国学者Skin⁃ner是该领域发文量最多的作者,与其他学者合作密切的有李向楠和Fowler;该领域文献多发表于《Molecular Genetics and Genomics》和《Annual Review of Plant Biology》等优质期刊上;俄罗斯科学院是该领域发文量最多的科研机构;耐低温小麦新品种培育、耐寒分子生物学研究以及提高小麦产质量等方面成为该领域的研究热点。
文摘为进一步了解水稻土土壤微生物领域的研究进展和未来发展趋势,基于Web of Science数据库,采用文献计量学的分析方法,分析了2014-2023年水稻土土壤微生物领域文章。结果表明,2014-2023年全球范围内关于水稻土土壤微生物发表文章数量共计768篇,其中美国、印度、中国发文量排在前3位;研究机构中法国国家科学研究中心位居首位,发文量达36篇;中国科学院位列第二,发文量为33篇。该领域研究论文主要发表在Frontiers in Microbiology、Microorganisms和Frontiers in Plant Science;研究学科包括微生物学、农学、分子生物学等相关学科。
文摘目的:运用文献计量学方法分析男男性行为(MSM)相关艾滋病的研究现状、前沿热点和研究趋势,为艾滋病防治研究提供借鉴。方法:计算机检索并收集Web of Science核心合集数据库中与MSM相关艾滋病有关的文献,运用CiteSpace软件进行作者合作分析、机构分布分析,并绘制关键词共现和聚类知识图谱。结果:共纳入MSM相关艾滋病研究文献5221篇,发文量整体呈现上升趋势,发文量最多的国家是美国,发文量最多的机构是加利福尼亚大学旧金山分校,发文量最大的期刊是AIDS and Behavior,Mayer是核心作者,纳入研究的高频关键词为HIV/AIDS,gay men,infection,risk behavior,prevention。结论:MSM相关艾滋病的研究处于积极状态,研究主题丰富,热点集中,作者合作度高。未来还需继续探索积极有效的干预措施,早期和全面识别具有感染风险的MSM人群,快速启动抗逆转录病毒治疗,注重MSM人群心理健康,构建良好的社会支持和照护系统。
文摘目的通过文献计量学分析术后谵妄的研究现状、趋势和热点,为国内外研究提供新思路。方法检索Web of Science核心数据库中2002-2022年发表的术后谵妄相关文献(检索日期为2023年7月10日),对年度发表量、引用频率、发文国家、机构、期刊、作者、关键词、研究方向等方面进行分析,并运用CiteSpace软件对文献的总体特征性进行可视化分析。结果共纳入1208篇文献,2002-2022年术后谵妄相关文献年发表量呈上升趋势;美国是发文最多的国家,其次是中国;发文量前两位作者是Inouye Sharon和Marcantonio Edward R;发文最多的机构是哈佛大学;老年、长期住院、癌症、疼痛、髋关节骨折、心脏手术、腹部大手术和重症监护患者是术后谵妄研究的热点群体。术后谵妄预测模型的建立、预防性系统管理模型、患者远期结局等方面都具有较高的关注度。结论术后谵妄的研究正逐步增加,但是我国和发达国家仍存在一定差距。针对术后谵妄的系统规范性评估、预防、治疗是未来重点关注的研究方向。
文摘目的基于Web of Science(WOS)数据库分析生酮饮食相关文献,明确该领域的研究热点与趋势。方法基于WOS核心数据库检索生酮饮食相关文献,时间范围为2013年1月1日—2022年12月31日。应用文献计量学方法和CiteSpace软件,对国家/地区、研究机构、发表期刊、关键词等文献特征进行统计学分析。结果本研究共获取有效文献4548篇,包括论著3317篇、综述1231篇。2013—2022年生酮饮食研究领域的发文量总体呈增长趋势,并于2021年达到峰值(756篇);年被引频次呈逐年增长趋势,于2022年达到峰值(25643次)。该领域发文量最多的国家和研究机构分别为美国(1695篇,占37.27%)和约翰·霍普金斯大学(88篇,占1.93%),且研究机构以高校为主。Nutrients载文量最多(241篇,占5.30%),Epilepsia的篇均被引频次最高(33.19次)。被引频次前10位的文献中,5篇文献阐述了酮体在疾病治疗中的代谢与作用机制,4篇文献的研究主题与癫痫相关。研究热点包括生酮饮食在癫痫与肥胖治疗中的应用和疗效评价,酮体的脂肪酸氧化、代谢、氧化应激、Warburg效应等常见调控机制,肠道菌群介导生酮饮食的作用研究;研究趋势为生酮饮食在心力衰竭中的应用前景。结论生酮饮食已被应用于多种疾病的治疗中,且其全球关注度持续增长,后续研究热点应聚焦于临床试验,以验证其临床疗效与耐受性。
基金Supported by Higher Education Research Project of Huaiyin Institute of Technology(2019GJ12).
文摘Huaiyin Institute of Technology is taken as the research object.The content of horticulture curriculum system under the background of new agricultural science is constructed and elaborated,including theoretical curriculum system of"three platforms and seven curriculum groups"and practice system of"two platforms,three levels and four modules".Moreover,the quality assurance strategy of the curriculum system is discussed from three angles of enhancing professional emotion,enhancing professional practice and strengthening innovation ability,to reach the training objective of outstanding applied horticultural talents under the background of new agricultural science.
基金This work was jointly funded by the National Natural Science Foundation of China(Grant Nos.42205168,41830967,and 42175163)the Youth Innovation Promotion Association CAS(2021073)the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab).
文摘The soil freezing and thawing process affects soil physical properties,such as heat conductivity,heat capacity,and hydraulic conductivity in frozen ground regions,and further affects the processes of soil energy,hydrology,and carbon and nitrogen cycles.In this study,the calculation of freezing and thawing front parameterization was implemented into the earth system model of the Chinese Academy of Sciences(CAS-ESM)and its land component,the Common Land Model(CoLM),to investigate the dynamic change of freezing and thawing fronts and their effects.Our results showed that the developed models could reproduce the soil freezing and thawing process and the dynamic change of freezing and thawing fronts.The regionally averaged value of active layer thickness in the permafrost regions was 1.92 m,and the regionally averaged trend value was 0.35 cm yr–1.The regionally averaged value of maximum freezing depth in the seasonally frozen ground regions was 2.15 m,and the regionally averaged trend value was–0.48 cm yr–1.The active layer thickness increased while the maximum freezing depth decreased year by year.These results contribute to a better understanding of the freezing and thawing cycle process.
文摘This paper is centered on the extent to which contemporary Chinese science fiction is related to ancient Chinese mythologies according to the previous scholarly discussion and how these ancient mythologies are utilized specifically in the futuristic narratives of modern Chinese science fiction.By referring to academic dialogues,this paper argues that ancient mythologies can be recreated in modern science fiction and create modern mythologies in futuristic narratives to present or deal with modern human fears.Based on this argument,this paper then continues to explore what kinds of modern mythologies science fiction might deliver.The Chinese film The Wandering Earth(2019)will be discussed in terms of its mythological symbols and metaphors.This paper proposes a new approach through which to reconnect past stories with futuristic narratives and builds a frame in which to contextualize ancient mythologies in contemporary Chinese culture.
基金supported by the National Natural Science Foundation of China(Grant No.42230608)the UK-China Research&Innovation Partnership Fund through the Met Office Climate Science for Service Partnership(CSSP)China as part of the Newton Fund.
文摘This paper provides a systematic evaluation of the ability of 12 Earth System Models(ESMs)participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)to simulate the spatial inhomogeneity of the atmospheric carbon dioxide(CO_(2))concentration.The multi-model ensemble mean(MME)can reasonably simulate the increasing trend of CO_(2) concentration from 1850 to 2014,compared with the observation data from the Scripps CO_(2) Program and CMIP6 prescribed data,and improves upon the CMIP5 MME CO_(2) concentration(which is overestimated after 1950).The growth rate of CO_(2) concentration in the northern hemisphere(NH)is higher than that in the southern hemisphere(SH),with the highest growth rate in the mid-latitudes of the NH.The MME can also reasonably simulate the seasonal amplitude of CO_(2) concentration,which is larger in the NH than in the SH and grows in amplitude after the 1950s(especially in the NH).Although the results of the MME are reasonable,there is a large spread among ESMs,and the difference between the ESMs increases with time.The MME results show that regions with relatively large CO_(2) concentrations(such as northern Russia,eastern China,Southeast Asia,the eastern United States,northern South America,and southern Africa)have greater seasonal variability and also exhibit a larger inter-model spread.Compared with CMIP5,the CMIP6 MME simulates an average spatial distribution of CO_(2) concentration that is much closer to the site observations,but the CMIP6-inter-model spread is larger.The inter-model differences of the annual means and seasonal cycles of atmospheric CO_(2) concentration are both attributed to the differences in natural sources and sinks of CO_(2) between the simulations.
基金funded by the National Natural Science Foundation of China(NSFC)Grant Nos.71921002 and 72174154.
文摘Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.
