AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions fo...AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions for future studies.METHODS:A systematic search was conducted in the Web of Science Core Collection(WoSCC)database to retrieve relevant literature published from January 1,2000,to August 31,2025(data accessed on September 12,2025).Multiple data visualization tools were employed to conduct in-depth analyses of the included publications,covering aspects such as publication quantity and quality,evolutionary trends of research hotspots,keyword cooccurrence networks,and collaborative patterns among countries/regions,institutions,and authors.RESULTS:A total of 3381 articles related to glaucoma inflammation were extracted from WoSCC.The analysis showed that the USA had the highest research output in this field(29.04%,n=982),followed by China(18.40%,n=622)and UK(6.01%,n=203).Based on citation frequency and burst intensity,the USA also ranked as the most influential country.Baudouin C and Sun X were identified as the most productive authors,while Journal of Glaucoma and Investigative Ophthalmology&Visual Science were the journals with the highest number of published relevant articles.Additionally,keyword analysis revealed that“neuroinflammation”,“retinal ganglion cells(RGCs)”,“pathophysiology”,and“traditional Chinese medicine”are emerging research hotspots in the field of immuneinflammatory responses in glaucoma.CONCLUSION:This study presents a comprehensive bibliometric overview of research on glaucoma-related inflammation,indicating that this field has received extensive scientific attention with a steady upward trend in research activity.Furthermore,it establishes a theoretical basis for the development of neuroinflammation-targeted therapeutic strategies for glaucoma and emphasizes the necessity of strengthening interdisciplinary collaboration to promote the clinical translation of research findings.展开更多
BACKGROUND Diabetic encephalopathy(DE)is a common and serious complication of diabetes that can cause death in many patients and significantly affects the lives of individuals and society.Multiple studies investigatin...BACKGROUND Diabetic encephalopathy(DE)is a common and serious complication of diabetes that can cause death in many patients and significantly affects the lives of individuals and society.Multiple studies investigating the pathogenesis of DE have been reported.However,few studies have focused on scientometric analysis of DE.AIM To analyze literature on DE using scientometrics to provide a comprehensive picture of research directions and progress in this field.METHODS We reviewed studies on DE or cognitive impairment published between 2004 and 2023.The latter were used to identify the most frequent keywords in the keyword analysis and explore the hotspots and trends of DE.RESULTS Scientometric analysis revealed 1308 research papers on DE,a number that increased annually over the past 20 years,and that the primary topics explored were domain distribution,knowledge structure,evolution,and emergence of research topics related to DE.The inducing factors,comorbidities,pathogenesis,treatment,and animal models of DE help clarify its occurrence,development,and treatment.An increasing number of studies on DE may be a result of the recent increase in patients with diabetes,unhealthy lifestyles,and unhealthy eating habits,which have aggravated the incidence of this disease.CONCLUSION We identified the main inducing factors and comorbidities of DE,though other complex factors undoubtedly increase social and economic burdens.These findings provide vital references for future studies.展开更多
With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,...With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,the research on plant-derived cosmetics has a history of centuries and even over 1,000 years both domestically and internationally.In order to further analyze the domestic and international research hotspots and future trends in the research field of plant-derived cosmetics,the relevant literatures from China National Knowledge Infrastructure(CNKI)database,Wanfang database,Vip database and Web of Science Core Collection(WoSCC)database from January 1994 to June 2024 were chosen as research objects in this paper.The authors,countries,research institutions and key words of the selected 1,415 Chinese papers and 1,927 English papers were visually analysed using the bibliometric software CiteSpace and VOSviewer.The results show that the number of publications shows an increasing trend;the communication and cooperation between core authors and between research institutions of the publicationare are both weak;the research hotspots mainly focus on natural plants,Chinese herbs,active ingredients,and whitening;and future research trends may include green synthesis,efficacy application,health and safety,etc.This study aims to grasp the hot spots and trends in the field of plant-derived cosmetics,and to provide ideas and references for the relevant research in China in the future.展开更多
The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas.In this paper,based on 320 gr...The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas.In this paper,based on 320 groups of soil and groundwater samples collected at the same time,geostatistical analysis and multiple regression analysis were comprehensively used to conduct the evaluation of nitrogen contents in both groundwater and soil.From May to August,as the nitrification of groundwater is dominant,the average concentration of nitrate nitrogen is 34.80 mg/L;The variation of soil ammonia nitrogen and nitrate nitrogen is moderate from May to July,and the variation coefficient decreased sharply and then increased in August.There is a high correlation between the nitrate nitrogen in groundwater and soil in July,and there is a high correlation between the nitrate nitrogen in groundwater and ammonium nitrogen in soil in August and nitrate nitrogen in soil in July.From May to August,the area of low groundwater nitrate nitrogen in 0-5 mg/L and 5-10 mg/L decreased from 10.97%to 0,and the proportion of high-value area(greater than 70 mg/L)increased from 21.19%to 27.29%.Nitrate nitrogen is the main factor affecting the quality of groundwater.The correlation analysis of nitrate nitrogen in groundwater,nitrate nitrogen in soil and ammonium nitrogen shows that they have a certain period of delay.The areas with high concentration of nitrate in groundwater are mainly concentrated in the western part of the study area,which has a high consistency with the high value areas of soil nitrate distribution from July to August,and a high difference with the spatial position of soil ammonia nitrogen distribution in August.展开更多
The influence of anthropogenic activities,especially artificial dykes,on the coastal wetland landscape is now considered as a serious problem to the coastal ecosystem.It is important and necessary to analyze changes o...The influence of anthropogenic activities,especially artificial dykes,on the coastal wetland landscape is now considered as a serious problem to the coastal ecosystem.It is important and necessary to analyze changes of coastal landscape pattern under the influence of artificial dykes for the protection and management of coastal wetland.Our study aimed to reveal the quantitative characteristics of the coastal wetland landscape and its spatial-temporal dynamics under the influence of artificial dykes in the Yellow River delta(YRD).It was analyzed by the methods of the statistical analysis of landscape structure,five selected landscape indices and the changes of spatial centroids of three typical wetland types,including reed marshes,tidal fiats and aquaculture-salt fields.The results showed that:(1)Reduction of wetland area,especially the degradation of natural wetlands,had been the principal problem since the dykes were constructed in the YRD.The dykes created conditions for the development of artificial wetlands.However,the new born artificial wetlands were still less than the vanished natural wetlands.(2)Compared with the open area,the building of artificial dykes significantly speeded up the changes of landscape patterns and the aggravation of the landscape fragmentation in the closed area.(3)The changes of area-weighted centroids of three typical wetland landscapes were greatly affected by dykes,and the movement of the centroid of the aquaculture-salt field was very sensitive to the dykes constructed in the corresponding period.展开更多
Spatial-temporal analysis of emotions in society has become popular in many studies integrating geography with the humanities,and has shown its influence on social sensing and geo-computation for social sciences.Emoti...Spatial-temporal analysis of emotions in society has become popular in many studies integrating geography with the humanities,and has shown its influence on social sensing and geo-computation for social sciences.Emotions in society are often volatile,irrational,and vulnerable to the social environment.A critical challenge is to analyze changes in long-term and large-scale emotions in society.In this paper,we propose exploiting this challenge by using spatial-temporal analysis.After extracting emotional,temporal,and spatial information,a spatial standardization approach based on adataset of administrative district changes addresses the problem of Chinese toponym changes.Finally,over 1.7 million news data from the People’s Daily from 1956 to 2014 were collected to explore the changes,spatial distribution,and driving factors of emotions in society using spatial-temporal analysis.The experimental results found that the spatial-temporal analysis of emotions in society in the news is consistent with the results of related sociological research.展开更多
Exploring the spatial and temporal evolution characteristics of the border land use multifunctionality(LUMF)provides insights for taking advantage of border land use and optimizing border land use policies.Based on th...Exploring the spatial and temporal evolution characteristics of the border land use multifunctionality(LUMF)provides insights for taking advantage of border land use and optimizing border land use policies.Based on the improved Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)mode,this study identifies and evaluates the LUMFs in the China-Vietnam border area between 2000 and 2018 from the perspectives of agricultural production,social security,ecological service,landscape recreation,and national security.The results show that:1)The comprehensive land use functions in most counties and cities continued to be improved.2)The comprehensive land use function exhibits remarkable spatial divergence and aggregation characteristics.The high-value area of the agricultural production function and social security function evolves from the east to the west.In addition,the spatial evolution of ecological service function is complicated,without an obvious spatial divergence and aggregation pattern.The landscape recreation function shows different spatial differentiation characteristics in the early and middle stage,and forms a large cluster in the later stage.Finally,the spatial evolution pattern of the national security function is significant.3)Designing differentiated border land policies,improving border land use security,and establishing a long-term mechanism for ecological protection and ecological compensation can aid in optimizing the LUMF level in the border area.展开更多
Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and futur...Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and future research hotspots.Method: Clinical psychological nursing research literature sourced from Wanfang Data for the three periods of 2007-2009, 2010-2012, and 2013-2015 were selected as the research sample. A bibliographic co-occurrence analysis system(BICOMB software) was used to perform keyword word frequency analysis and generate a keyword co-occurrence matrix. In addition, Ucinet software's Netdraw tool was used to create visualized network diagrams.Results: A total of 27890 articles were retrieved, and word frequency analysis revealed that the highestfrequency keywords consisted of anxiety, depression, the elderly, expectant women, coronary heart disease, diabetes, breast cancer, perioperative period, quality of life, and psychological intervention.Research hotspot analysis revealed that consistent hotspots comprised anxiety, depression, health education, and perioperative period; expectant women became a hotspot during 2010-2012, and quality of life and efficacy became hotspots during 2013-2015.Conclusions: In addition to the care process, clinical psychological nursing research hotspots in China have increasingly included the effectiveness of psychological nursing and impact on patient quality of life. In addition, research hotspots have been influenced by the incidence of illnesses and people's health consciousness.展开更多
Objective: This study was conducted to understand the trends and research hotspots of clinical nursing in China and abroad, thereby to provide guidance for nursing practice and studies.Methods: We retrieved clinical n...Objective: This study was conducted to understand the trends and research hotspots of clinical nursing in China and abroad, thereby to provide guidance for nursing practice and studies.Methods: We retrieved clinical nursing literature(excluding literature related to psychological nursing and traditional Chinese medicine nursing) cited in Wanfang Data(www.wanfangdata.com.cn) and PubMed between 2007 and 2015 and subsequently performed bibliometric analyses on article volume,journal, clustering of high-frequency keywords, and co-occurrence of keywords.Results: A total of 10374 publications, excluding those related to psychological nursing, were retrieved via a PubMed search. The literature displayed a rising trend in terms of annual publication volume. The journal distribution of clinical nursing publications overall was consistent with Bradford's Law. The main contents of clinical nursing literature between 2007 and 2009 included:(1) studies on effects of the midwife and midwifery methods for natural childbirth;(2) studies on emergency nursing care;(3)studies on dementia care;(4) studies on bandage dressing in trauma nursing; and(5) studies on quality of life in cancer patients nursing. The main contents of clinical nursing literature between 2010 and 2012 included:(1) studies on obstetric nurse-patient relationships;(2) studies on patients' medical team in stroke nursing;(3) studies on cancer nursing methods;(4) studies on nursing patients with trauma related to urinary incontinence; and(5) studies on the quality of life of caregivers of dementia patients.The main contents of clinical nursing literature between 2013 and 2015 included(1) studies on skin care and bandaging in trauma nursing;(2) studies on evidence-based nursing in AIDS care;(3) studies on nurses' role in obstetric nurse-patient relationships; studies on cancer nursing methods;(4) studies on nursing for Alzheimer's disease and dementia; and(5) studies on caregivers and nursing of stroke patients. A Wanfang Data search retrieved a total of 85570 publications, whose volume also exhibited an annual rising trend, in particular with regard to those in core journals. However, percentage of total publication volume, mean cited frequency per article, and total ranking of clinical nursing publications overall displayed a decreasing trend. The main contents of clinical nursing literature between 2007 and 2009 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4)nursing in the event of complications;(5) nursing for hypertension;(6) studies on quality of life after nursing interventions;(7) chemotherapy nursing;(8) studies on compliance after nursing interventions;(9) constipation nursing; and(10) nursing for stroke patients. The main contents of clinical nursing literature between 2010 and 2012 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4) studies on quality of life after nursing interventions;(5) nursing in the event of complications;(6) nursing for hypertension;(7) prevention nursing;(8) perioperative nursing;(9)pain nursing; and(10) studies on compliance after nursing interventions. The main contents of clinical nursing literature between 2013 and 2015 included:(1) diabetes nursing;(2) nursing in the event of complications;(3) cancer nursing;(4) studies on quality of life after nursing interventions;(5) nursing for stroke patients;(6) nursing for the elderly;(7) studies on compliance after nursing interventions;(8)nursing for hypertension;(9) constipation nursing; and(10) prevention nursing.Conclusions: Clinical nursing research in China is in a rapid development stage as defined by Price's law whereby there is a rapid growth in publication volume. By comparison, clinical nursing research in developed countries is in the stable development stage or maturation phase, which is characterized by a flat curve of publication volume and stable development rate. There is a gap of 25-30 years between China and these countries in terms of the growth phases of clinical nursing literature.展开更多
[Objectives]Based on the related literature of benefit finding in China National Knowledge Infrastructure(CNKI),this paper analyzes the research status,hot spots and trends in this field.[Methods]To search for the rel...[Objectives]Based on the related literature of benefit finding in China National Knowledge Infrastructure(CNKI),this paper analyzes the research status,hot spots and trends in this field.[Methods]To search for the related literature on benefit finding in China National Knowledge Infrastructure(CNKI),and use Citespace software to visually analyze the number of papers,authors,institutions and keywords.[Results]A total of 204 related papers were obtained,and the annual number of published papers showed a gradual increasing trend.The authors of published papers were represented by Zhang Fenglan,Liu Zhunzhun and Zhang Ting,and the Nursing College of Anhui Medical University published the most papers.The research focus was on social support,coping method and other influencing factors,and qualitative research was the main research type.The key population was breast cancer,stroke patients and their caregivers,and the development trend focused on reliability and validity test and correlation analysis.[Conclusions]The field of benefit finding in China is in the initial exploration stage,and there is little cooperation and exchange between authors and institutions.In the future,academic exchanges and multidisciplinary assistance should be strengthened to promote the rapid development of this field.展开更多
Objective Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine(TCM)treatment of immune thrombocytopenia(ITP),this study aims to sort out the overall research progress,hotspo...Objective Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine(TCM)treatment of immune thrombocytopenia(ITP),this study aims to sort out the overall research progress,hotspots,and trends in this field,and provide reference for further research in ITP.Methods The articles on ITP treated by TCM were retrieved from China National Knowledge Infrastructure(CNKI),Wanfang Database,China Science and Technology Journal Database(VIP),Web of Science Core Collection(WOSCC),and PubMed.The retrieval time was from the establishment of the databases to July 31,2022.VOSviewer,CiteSpace,Carrot2,and Note-Express were used for data analysis of the articles in terms of their quantities,types,and journals,and for visualization of research hotspots,authors,institutions,and keywords.Results 1493 Chinese articles and 40 English articles were included.The articles in Chinese mainly focus on clinical trial research and clinical experience summary,while the English articles mainly focus on clinical trial research and animal research.The Chinese articles were published in 317 Chinese journals,while English articles were published in 29 English journals.Research hotspots include the clinical syndrome differentiation of ITP,the therapeutic effect of TCM compounds on ITP,and the mechanism of ITP treatment.Keyword analysis shows that there are many research achievements in integrated traditional Chinese and western medicine treatment,clinical research,famous doctors’experience,TCM treatment,cellular immunity,and humoral immunity.The authors with the most articles in Chinese and English are Professor CHEN Xinyi and Professor MA Rou,respectively,and the research institutions with the most articles are Dongzhimen Hospital of Beijing University of Chinese Medicine and Xiyuan Hospital of China Academy of Chinese Medical Sciences.Chinese herbs often used to treat ITP clinically include Xianhecao(Agrimoniae Herba),Nvzhenzi(Ligustri Lucidi Fructus),Mohanlian(Ecliptae Herba),Zhongjiefeng(Sarcandrae Herba),etc.,and the prescription usually used to treat ITP include Guipi Decoction(归脾汤),Xijiao Dihuang Decoction(犀角地黄汤),Bazhen Decoction(八珍汤),Erzhi Pill(二至丸),and Xiaochaihu De-coction(小柴胡汤).The main development trends toward retrospective study,TCM treatment mechanism,and data mining.展开更多
[Objectives]This study was conducted to perform visual analysis of the research hotspots and development trends of Cyperi Rhizoma in the field of antidepressant based on CiteSpace,so as to explore the application and ...[Objectives]This study was conducted to perform visual analysis of the research hotspots and development trends of Cyperi Rhizoma in the field of antidepressant based on CiteSpace,so as to explore the application and development direction of Cyperi Rhizoma in the field of antidepressant.[Methods]Highly-relevant literatures were selected from the core database of China National Knowledge Infrastructure(CNKI),and CiteSpace and WPS office software were employed to visually analyze relevant contents such as publishing institutions,scholars,keywords,publishing time,and citation frequency.[Results]A total of 297 domestic relevant literatures were selected.Most of the publications,institutions and authors were concentrated in universities,affiliated institutions and scientific research institutes of traditional Chinese medicine in China,and no relatively novel applied research direction has emerged.At present,the hot spots and frontiers of application were mostly concentrated in its role in treating depression,anxiety,gynecological diseases and other disorders.[Conclusions]The research on Cyperi Rhizoma for its antidepressant effects in China originated in the late 20 th century.From 2004 to 2024,studies have primarily focused on its pharmacological principles,mechanisms of action,and classification,while the exploration of its application in specific depressive disorders was limited.Overall,research progress has been relatively slow.Currently,further efforts are needed to optimize the active antidepressant components of Cyperi Rhizoma and clarify its mechanisms of action,which will facilitate its broader application in treating various stages of depressive disorders.展开更多
This study examines paper-level metrics in the literature on topics related to environmental,social and governance(ESG)to provide a research agenda for hotspots and trends.Based on 755 papers on ESG in the Web of Scie...This study examines paper-level metrics in the literature on topics related to environmental,social and governance(ESG)to provide a research agenda for hotspots and trends.Based on 755 papers on ESG in the Web of Science Core Collection database from 2004 to 2021,we use VOSviewer and CiteSpace to present a bibliometric review of publications,citation structure,authors,universities,countries,journals,and keywords on the topic.Additionally,the philosophy of the ESG system,factors affecting ESG,the financial outcomes of ESG,the association between ESG and corporate social responsibility(CSR),and ESG investing are presented as research hotspots.Furthermore,three research trends are identified:research on the influencing factors and economic consequences of ESG in the context of emerging markets,mechanism analysis of ESG’s impact on the capital market,and further research on ESG information disclosure and ESG ratings.Our study enriches ESG theory and provides new paths for researchers and practitioners.展开更多
Objective This study aims to analyze the current state and emerging trends in research articles related to acupuncture treatment for low back pain(LBP).Methods The Web of Science core database was utilized to retrieve...Objective This study aims to analyze the current state and emerging trends in research articles related to acupuncture treatment for low back pain(LBP).Methods The Web of Science core database was utilized to retrieve relevant literature on acupuncture therapy for LBP from January 1,1997,to August 29,2023.Literature metrics analysis was conducted using Microsoft Excel,VOSviewer,SCImago Graphica,and Pajek.The analysis focused on annual publication volume,countries(regions),institutions,authors,journals,keywords,and references.Results A total of 1,434 papers on acupuncture treatment for LBP were identified,demonstrating a fluctuating growth trend over the past 25 years.Research in this field has been conducted in 57 countries,with the United States leading in terms of research output.Italy emerged as the country with the highest-quality publications,with an average citation frequency of 205.16 times.A total of 1,781 institutions contributed to research on acupuncture treatment for LBP,with Harvard University having the highest publication volume(cited 77 times).The number of authors contributing to this field reached 5,696,with In-Hyuk Ha having the highest publication count(31 papers)and Claudia-M.Witt is the most influential author(cited 2,699 times).Relevant research was published in 378 journals,with the Journal of Alternative and Complementary Medicine having the highest publication volume(77 papers),and Spine being the most influential journal(cited 3,420 times).A total of 3,854 keywords were identified,forming six main thematic clusters:care management,nerve stimulation,complementary medicine,pregnancy pain,rehabilitation research,and musculoskeletal pain.Twelve highly cited papers with citation frequencies≥85 times were recognized,predominantly consisting of randomized controlled trials.Conclusion Over the past 25 years,the number of articles published on acupuncture for LPB has shown a fluctuating trend of growth;the distribution of countries(regions)and institutions that publish articles is scattered,mainly based on inter-regional cooperation,and international cooperation is still insufficient;Journals in alternative and integrative medicine category provide references for scholars to submit manuscripts and learn about the frontiers;Acupuncture is effective and economical in the treatment of pain,and it has been widely used in the treatment of low back pain.However,the difference in efficacy between acupuncture and sham acupuncture or placebo acupuncture remains controversial.Therefore,in the future,it is necessary to consider the selection of appropriate efficacy evaluation methods in clinical trials that reflect the therapeutic advantages of acupuncture.展开更多
Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology ...Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology Medicine database,PubMed,and Web of Science core collection database were used as search sources from January 2004 to December 2024,and CiteSpace software was used for visual analysis and knowledge mapping.Results:A total of 2059 Chinese and 1678 foreign literatures were included.The number of publications showed a fluctuating upward trend,but the collaboration among authors was relatively loose.Negative psychology,such as depression and anxiety,as well as the quality of life of chronic kidney disease patients,were the main research hotspots.Conclusion:In the future,it is necessary to enhance cooperation and communication among researchers,continue to explore the mechanism of mental health,optimize research designs,innovate psychological nursing intervention measures,and focus on improving the psychological resilience and social support levels of patients.展开更多
In this paper,the Taixin Integrated Economic Zone in Shanxi Province is taken as the research object,and the coupling coordination degree model and bivariate spatial autocorrelation model are used to judge the couplin...In this paper,the Taixin Integrated Economic Zone in Shanxi Province is taken as the research object,and the coupling coordination degree model and bivariate spatial autocorrelation model are used to judge the coupling coordination and spatial-temporal correlation between urbanization and ecosystem service,and the hotspot analysis is used to judge the spatial-temporal trend of urbanization and ecosystem service.The results show that:(1)The urbanization level from 2000 to 2020 continued to rise,the areas with relatively high urbanization were concentrated in the central part of the study area,and the relatively high terrain areas on both sides of the study area,the urbanization was relatively slow,and the hotspot areas with highly significant and significant urbanization level from 2000 to 2020 were distributed as bands in the central part of the study area and the area was rising,and there was no Cold spot area distribution;between 2000 and 2020,the ecosystem service value in the study area increased by 2.6800×10^(8) yuan.Over these two decades,it exhibited a development trend that first rose and then declined.The woodland and grassland agglomeration areas were located on the two sides of the study area,forming highly significant and significant hotspots.Conversely,the central and northeastern parts of the study area were characterized by concentrated man-made land surfaces and croplands,resulting in the formation of highly significant and significant cold spots.(2)In the central part of the study area where man-made land surface and cultivated land are concentrated,the coupling coordination between urbanization and ecosystem service is in the intermediate dislocation and mild dislocation interval;the woodland and grassland concentration areas on both sides of the study area are ecologically fragile,and the coupling coordination between the two is in the level of less than intermediate dislocation.(3)From 2000 to 2020,urbanization and the value of ecosystem services were both negatively correlated,although the correlation coefficient was low.In the central and northeastern parts,urbanization and ecosystem service exhibited patterns of high-low,high-high,and low-low clustering.Conversely,on both sides of the study area,most of the clusters showed a low-high pattern.展开更多
Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaboratio...Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.展开更多
BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcrani...BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.展开更多
Purpose:To explore the status of current global research,trends and hotspots in the field of lupus retinopathy(LR).Methods:Publications related to LR from 2003 to 2022 were extracted from the Web of Science Core Colle...Purpose:To explore the status of current global research,trends and hotspots in the field of lupus retinopathy(LR).Methods:Publications related to LR from 2003 to 2022 were extracted from the Web of Science Core Collection(WOSCC).Citespace 6.2.R4 software was used to analyze the raw data.Bibliometric parameters such as publication quality,countries,authors,international cooperation,and keywords were taken into account.Results:A total of 315 publications were retrieved.The annual research output has increased significantly since 2010,especially since 2017.Marmor MF,Lee BR,and Melles RB contributed the highest number of articles published on LR.The top three publishing countries were the USA,China,and UK.Stanford University,Hanyang University,and Harvard Medical School were the top three producing institutions in the world for LR research.The top ten commonly used keywords include the following:systemic lupus erythematosus,retinopathy,retinal toxicity,antimalarial,hydroxychloroquine,optical coherence tomography,antiphospholipid syndrome,microvascular,optic neuritis,optical coherence tomography angiography.The keywords"optical coherence tomography angiography"and"vessel density"have exploded in recent years.Conclusion:By analyzing the current body of LR literature,specific global trends and hotspots for LR research were identified,presenting valuable information to track cutting-edge progress and for future cooperation between various authors and institutions.展开更多
Road traffic crashes are becoming thorny issues being faced worldwide.Traffic crashes are spatiotemporal events and the research on the spatiotemporal patterns and variation trends of traffic crashes has been carried ...Road traffic crashes are becoming thorny issues being faced worldwide.Traffic crashes are spatiotemporal events and the research on the spatiotemporal patterns and variation trends of traffic crashes has been carried out.However,the impact of built environment on traffic crash spatiotemporal trends has not received much attention.Moreover,the spatial non-stationarity between the variation trends of traffic crashes and their influencing factors is usually neglected.To make up for the lack of analysis of built environment factors influencing spatiotemporal hotspot trends in traffic crashes,this paper proposed a method of“ST-GWLR”for analyzing the influence of built environment factors on spatiotemporal hotspot trends of traffic crashes by combining the spatiotemporal hotspot trend analysis and Geographically Weighted Logistic Regression(GWLR)modeling methods.Firstly,the traffic crash spatiotemporal hotspot trends were explored using the space-time cube model,hotspot analysis,and Mann-Kendall trend test.Then,the GWLR was introduced to capture the spatial non-stationarity neglected by the classic Global Logistic Regression(GLR)model,to improve the accuracy of the model estimation.GWLR model is used for the first time to analyze the significant local correlation between the traffic crash spatiotemporal hotspot trends and the built environment factors,to accurately and effectively identify the built environment factors that have significant influences on the hotspot trends of traffic crashes.The performance of the GWLR models and GLR models was examined and compared sufficiently.The results showed that the proposed ST-GWLR,which captured spatial non-stationarity,performed better than the classic GLR combined with spatiotemporal analysis,and improved the prediction accuracy of the models by 14.9%,13.9%,and 15.1%,respectively.There were significant local correlations between intensifying hotspots and persistent hotspots of traffic crashes and the built environment factors.The findings of this paper have positive implications for traffic safety management and urban built environment planning.展开更多
基金Supported by the National Natural Science Foundation of China(No.82074500)Beijing Natural Science Foundation(No.7252273)+2 种基金CACMS Innovation Fund(No.CI2021A02605)Administration of Traditional Chinese Medicine of Zhejiang Province(No.2024ZR029)Science and Technology Program of Wenzhou City(No.Y2023210).
文摘AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions for future studies.METHODS:A systematic search was conducted in the Web of Science Core Collection(WoSCC)database to retrieve relevant literature published from January 1,2000,to August 31,2025(data accessed on September 12,2025).Multiple data visualization tools were employed to conduct in-depth analyses of the included publications,covering aspects such as publication quantity and quality,evolutionary trends of research hotspots,keyword cooccurrence networks,and collaborative patterns among countries/regions,institutions,and authors.RESULTS:A total of 3381 articles related to glaucoma inflammation were extracted from WoSCC.The analysis showed that the USA had the highest research output in this field(29.04%,n=982),followed by China(18.40%,n=622)and UK(6.01%,n=203).Based on citation frequency and burst intensity,the USA also ranked as the most influential country.Baudouin C and Sun X were identified as the most productive authors,while Journal of Glaucoma and Investigative Ophthalmology&Visual Science were the journals with the highest number of published relevant articles.Additionally,keyword analysis revealed that“neuroinflammation”,“retinal ganglion cells(RGCs)”,“pathophysiology”,and“traditional Chinese medicine”are emerging research hotspots in the field of immuneinflammatory responses in glaucoma.CONCLUSION:This study presents a comprehensive bibliometric overview of research on glaucoma-related inflammation,indicating that this field has received extensive scientific attention with a steady upward trend in research activity.Furthermore,it establishes a theoretical basis for the development of neuroinflammation-targeted therapeutic strategies for glaucoma and emphasizes the necessity of strengthening interdisciplinary collaboration to promote the clinical translation of research findings.
基金Supported by the Beijing Natural Sciences Foundation No.7242240Doctoral Startup Fund,No.2024BSZR052new teachers at the Beijing University of Chinese Medicine started the funding project,No.2022-JYB-XJSJJ-021.
文摘BACKGROUND Diabetic encephalopathy(DE)is a common and serious complication of diabetes that can cause death in many patients and significantly affects the lives of individuals and society.Multiple studies investigating the pathogenesis of DE have been reported.However,few studies have focused on scientometric analysis of DE.AIM To analyze literature on DE using scientometrics to provide a comprehensive picture of research directions and progress in this field.METHODS We reviewed studies on DE or cognitive impairment published between 2004 and 2023.The latter were used to identify the most frequent keywords in the keyword analysis and explore the hotspots and trends of DE.RESULTS Scientometric analysis revealed 1308 research papers on DE,a number that increased annually over the past 20 years,and that the primary topics explored were domain distribution,knowledge structure,evolution,and emergence of research topics related to DE.The inducing factors,comorbidities,pathogenesis,treatment,and animal models of DE help clarify its occurrence,development,and treatment.An increasing number of studies on DE may be a result of the recent increase in patients with diabetes,unhealthy lifestyles,and unhealthy eating habits,which have aggravated the incidence of this disease.CONCLUSION We identified the main inducing factors and comorbidities of DE,though other complex factors undoubtedly increase social and economic burdens.These findings provide vital references for future studies.
文摘With the improvement of people’s living standards and the demand for their own health,plant-derived cosmetics containing plant extracts or plant active ingredients are also more and more favored by consumers.In fact,the research on plant-derived cosmetics has a history of centuries and even over 1,000 years both domestically and internationally.In order to further analyze the domestic and international research hotspots and future trends in the research field of plant-derived cosmetics,the relevant literatures from China National Knowledge Infrastructure(CNKI)database,Wanfang database,Vip database and Web of Science Core Collection(WoSCC)database from January 1994 to June 2024 were chosen as research objects in this paper.The authors,countries,research institutions and key words of the selected 1,415 Chinese papers and 1,927 English papers were visually analysed using the bibliometric software CiteSpace and VOSviewer.The results show that the number of publications shows an increasing trend;the communication and cooperation between core authors and between research institutions of the publicationare are both weak;the research hotspots mainly focus on natural plants,Chinese herbs,active ingredients,and whitening;and future research trends may include green synthesis,efficacy application,health and safety,etc.This study aims to grasp the hot spots and trends in the field of plant-derived cosmetics,and to provide ideas and references for the relevant research in China in the future.
基金Youth Fund of National Natural Science Foundation of China (42101353)the Ministry of Housing and Urban-Rural Development Science Plan Project (2022-R-063)Liaoning Social Science Planning Fund Project (L21BGL046)。
文摘The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas.In this paper,based on 320 groups of soil and groundwater samples collected at the same time,geostatistical analysis and multiple regression analysis were comprehensively used to conduct the evaluation of nitrogen contents in both groundwater and soil.From May to August,as the nitrification of groundwater is dominant,the average concentration of nitrate nitrogen is 34.80 mg/L;The variation of soil ammonia nitrogen and nitrate nitrogen is moderate from May to July,and the variation coefficient decreased sharply and then increased in August.There is a high correlation between the nitrate nitrogen in groundwater and soil in July,and there is a high correlation between the nitrate nitrogen in groundwater and ammonium nitrogen in soil in August and nitrate nitrogen in soil in July.From May to August,the area of low groundwater nitrate nitrogen in 0-5 mg/L and 5-10 mg/L decreased from 10.97%to 0,and the proportion of high-value area(greater than 70 mg/L)increased from 21.19%to 27.29%.Nitrate nitrogen is the main factor affecting the quality of groundwater.The correlation analysis of nitrate nitrogen in groundwater,nitrate nitrogen in soil and ammonium nitrogen shows that they have a certain period of delay.The areas with high concentration of nitrate in groundwater are mainly concentrated in the western part of the study area,which has a high consistency with the high value areas of soil nitrate distribution from July to August,and a high difference with the spatial position of soil ammonia nitrogen distribution in August.
基金supported by the Open Fund for Field Stations of Institute of Geographic Sciences and Natural Resources Research,CAS and the Ocean Public Welfare Scientific Research Project(Grant No.201105020)
文摘The influence of anthropogenic activities,especially artificial dykes,on the coastal wetland landscape is now considered as a serious problem to the coastal ecosystem.It is important and necessary to analyze changes of coastal landscape pattern under the influence of artificial dykes for the protection and management of coastal wetland.Our study aimed to reveal the quantitative characteristics of the coastal wetland landscape and its spatial-temporal dynamics under the influence of artificial dykes in the Yellow River delta(YRD).It was analyzed by the methods of the statistical analysis of landscape structure,five selected landscape indices and the changes of spatial centroids of three typical wetland types,including reed marshes,tidal fiats and aquaculture-salt fields.The results showed that:(1)Reduction of wetland area,especially the degradation of natural wetlands,had been the principal problem since the dykes were constructed in the YRD.The dykes created conditions for the development of artificial wetlands.However,the new born artificial wetlands were still less than the vanished natural wetlands.(2)Compared with the open area,the building of artificial dykes significantly speeded up the changes of landscape patterns and the aggravation of the landscape fragmentation in the closed area.(3)The changes of area-weighted centroids of three typical wetland landscapes were greatly affected by dykes,and the movement of the centroid of the aquaculture-salt field was very sensitive to the dykes constructed in the corresponding period.
基金National Natural Science Foundation of China(No.41971337)。
文摘Spatial-temporal analysis of emotions in society has become popular in many studies integrating geography with the humanities,and has shown its influence on social sensing and geo-computation for social sciences.Emotions in society are often volatile,irrational,and vulnerable to the social environment.A critical challenge is to analyze changes in long-term and large-scale emotions in society.In this paper,we propose exploiting this challenge by using spatial-temporal analysis.After extracting emotional,temporal,and spatial information,a spatial standardization approach based on adataset of administrative district changes addresses the problem of Chinese toponym changes.Finally,over 1.7 million news data from the People’s Daily from 1956 to 2014 were collected to explore the changes,spatial distribution,and driving factors of emotions in society using spatial-temporal analysis.The experimental results found that the spatial-temporal analysis of emotions in society in the news is consistent with the results of related sociological research.
基金Under the auspices of National Natural Science Project(No.42161046)National Social Science Project(No.21CJY075)+2 种基金Guangxi Natural Science Project(No.2021JJB150070)Guangxi Philosophy and Social Science Project(No.20FJY027)Guangxi First-class Discipline Applied Economics Construction Project Fund(Guangxi Education and Scientific Research(No.[2022]No.1))。
文摘Exploring the spatial and temporal evolution characteristics of the border land use multifunctionality(LUMF)provides insights for taking advantage of border land use and optimizing border land use policies.Based on the improved Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)mode,this study identifies and evaluates the LUMFs in the China-Vietnam border area between 2000 and 2018 from the perspectives of agricultural production,social security,ecological service,landscape recreation,and national security.The results show that:1)The comprehensive land use functions in most counties and cities continued to be improved.2)The comprehensive land use function exhibits remarkable spatial divergence and aggregation characteristics.The high-value area of the agricultural production function and social security function evolves from the east to the west.In addition,the spatial evolution of ecological service function is complicated,without an obvious spatial divergence and aggregation pattern.The landscape recreation function shows different spatial differentiation characteristics in the early and middle stage,and forms a large cluster in the later stage.Finally,the spatial evolution pattern of the national security function is significant.3)Designing differentiated border land policies,improving border land use security,and establishing a long-term mechanism for ecological protection and ecological compensation can aid in optimizing the LUMF level in the border area.
基金supported by a scientific research project of Shanxi Provincial Health Department,China(No.201201031)
文摘Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and future research hotspots.Method: Clinical psychological nursing research literature sourced from Wanfang Data for the three periods of 2007-2009, 2010-2012, and 2013-2015 were selected as the research sample. A bibliographic co-occurrence analysis system(BICOMB software) was used to perform keyword word frequency analysis and generate a keyword co-occurrence matrix. In addition, Ucinet software's Netdraw tool was used to create visualized network diagrams.Results: A total of 27890 articles were retrieved, and word frequency analysis revealed that the highestfrequency keywords consisted of anxiety, depression, the elderly, expectant women, coronary heart disease, diabetes, breast cancer, perioperative period, quality of life, and psychological intervention.Research hotspot analysis revealed that consistent hotspots comprised anxiety, depression, health education, and perioperative period; expectant women became a hotspot during 2010-2012, and quality of life and efficacy became hotspots during 2013-2015.Conclusions: In addition to the care process, clinical psychological nursing research hotspots in China have increasingly included the effectiveness of psychological nursing and impact on patient quality of life. In addition, research hotspots have been influenced by the incidence of illnesses and people's health consciousness.
基金supported by Scientific Research Project of Shanxi Provincial Health Department,China(No.201201031)
文摘Objective: This study was conducted to understand the trends and research hotspots of clinical nursing in China and abroad, thereby to provide guidance for nursing practice and studies.Methods: We retrieved clinical nursing literature(excluding literature related to psychological nursing and traditional Chinese medicine nursing) cited in Wanfang Data(www.wanfangdata.com.cn) and PubMed between 2007 and 2015 and subsequently performed bibliometric analyses on article volume,journal, clustering of high-frequency keywords, and co-occurrence of keywords.Results: A total of 10374 publications, excluding those related to psychological nursing, were retrieved via a PubMed search. The literature displayed a rising trend in terms of annual publication volume. The journal distribution of clinical nursing publications overall was consistent with Bradford's Law. The main contents of clinical nursing literature between 2007 and 2009 included:(1) studies on effects of the midwife and midwifery methods for natural childbirth;(2) studies on emergency nursing care;(3)studies on dementia care;(4) studies on bandage dressing in trauma nursing; and(5) studies on quality of life in cancer patients nursing. The main contents of clinical nursing literature between 2010 and 2012 included:(1) studies on obstetric nurse-patient relationships;(2) studies on patients' medical team in stroke nursing;(3) studies on cancer nursing methods;(4) studies on nursing patients with trauma related to urinary incontinence; and(5) studies on the quality of life of caregivers of dementia patients.The main contents of clinical nursing literature between 2013 and 2015 included(1) studies on skin care and bandaging in trauma nursing;(2) studies on evidence-based nursing in AIDS care;(3) studies on nurses' role in obstetric nurse-patient relationships; studies on cancer nursing methods;(4) studies on nursing for Alzheimer's disease and dementia; and(5) studies on caregivers and nursing of stroke patients. A Wanfang Data search retrieved a total of 85570 publications, whose volume also exhibited an annual rising trend, in particular with regard to those in core journals. However, percentage of total publication volume, mean cited frequency per article, and total ranking of clinical nursing publications overall displayed a decreasing trend. The main contents of clinical nursing literature between 2007 and 2009 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4)nursing in the event of complications;(5) nursing for hypertension;(6) studies on quality of life after nursing interventions;(7) chemotherapy nursing;(8) studies on compliance after nursing interventions;(9) constipation nursing; and(10) nursing for stroke patients. The main contents of clinical nursing literature between 2010 and 2012 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4) studies on quality of life after nursing interventions;(5) nursing in the event of complications;(6) nursing for hypertension;(7) prevention nursing;(8) perioperative nursing;(9)pain nursing; and(10) studies on compliance after nursing interventions. The main contents of clinical nursing literature between 2013 and 2015 included:(1) diabetes nursing;(2) nursing in the event of complications;(3) cancer nursing;(4) studies on quality of life after nursing interventions;(5) nursing for stroke patients;(6) nursing for the elderly;(7) studies on compliance after nursing interventions;(8)nursing for hypertension;(9) constipation nursing; and(10) prevention nursing.Conclusions: Clinical nursing research in China is in a rapid development stage as defined by Price's law whereby there is a rapid growth in publication volume. By comparison, clinical nursing research in developed countries is in the stable development stage or maturation phase, which is characterized by a flat curve of publication volume and stable development rate. There is a gap of 25-30 years between China and these countries in terms of the growth phases of clinical nursing literature.
基金Supported by National Natural Science Foundation of China(71774049)。
文摘[Objectives]Based on the related literature of benefit finding in China National Knowledge Infrastructure(CNKI),this paper analyzes the research status,hot spots and trends in this field.[Methods]To search for the related literature on benefit finding in China National Knowledge Infrastructure(CNKI),and use Citespace software to visually analyze the number of papers,authors,institutions and keywords.[Results]A total of 204 related papers were obtained,and the annual number of published papers showed a gradual increasing trend.The authors of published papers were represented by Zhang Fenglan,Liu Zhunzhun and Zhang Ting,and the Nursing College of Anhui Medical University published the most papers.The research focus was on social support,coping method and other influencing factors,and qualitative research was the main research type.The key population was breast cancer,stroke patients and their caregivers,and the development trend focused on reliability and validity test and correlation analysis.[Conclusions]The field of benefit finding in China is in the initial exploration stage,and there is little cooperation and exchange between authors and institutions.In the future,academic exchanges and multidisciplinary assistance should be strengthened to promote the rapid development of this field.
基金Jiangxi Traditional Chinese Medicine Administration Clinical Research Base Construction Project(Jiangxi TCM Science and Education Letter[2021]No.3)Jiangxi Traditional Chinese Medicine Young and Middle-aged Backbone Talents(First Batch)Training Program Project(Jiangxi TCM Science and Education Letter[2020]No.2)Jiangxi Traditional Chinese Medicine Administration Science and Technology Program Project(2021B050).
文摘Objective Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine(TCM)treatment of immune thrombocytopenia(ITP),this study aims to sort out the overall research progress,hotspots,and trends in this field,and provide reference for further research in ITP.Methods The articles on ITP treated by TCM were retrieved from China National Knowledge Infrastructure(CNKI),Wanfang Database,China Science and Technology Journal Database(VIP),Web of Science Core Collection(WOSCC),and PubMed.The retrieval time was from the establishment of the databases to July 31,2022.VOSviewer,CiteSpace,Carrot2,and Note-Express were used for data analysis of the articles in terms of their quantities,types,and journals,and for visualization of research hotspots,authors,institutions,and keywords.Results 1493 Chinese articles and 40 English articles were included.The articles in Chinese mainly focus on clinical trial research and clinical experience summary,while the English articles mainly focus on clinical trial research and animal research.The Chinese articles were published in 317 Chinese journals,while English articles were published in 29 English journals.Research hotspots include the clinical syndrome differentiation of ITP,the therapeutic effect of TCM compounds on ITP,and the mechanism of ITP treatment.Keyword analysis shows that there are many research achievements in integrated traditional Chinese and western medicine treatment,clinical research,famous doctors’experience,TCM treatment,cellular immunity,and humoral immunity.The authors with the most articles in Chinese and English are Professor CHEN Xinyi and Professor MA Rou,respectively,and the research institutions with the most articles are Dongzhimen Hospital of Beijing University of Chinese Medicine and Xiyuan Hospital of China Academy of Chinese Medical Sciences.Chinese herbs often used to treat ITP clinically include Xianhecao(Agrimoniae Herba),Nvzhenzi(Ligustri Lucidi Fructus),Mohanlian(Ecliptae Herba),Zhongjiefeng(Sarcandrae Herba),etc.,and the prescription usually used to treat ITP include Guipi Decoction(归脾汤),Xijiao Dihuang Decoction(犀角地黄汤),Bazhen Decoction(八珍汤),Erzhi Pill(二至丸),and Xiaochaihu De-coction(小柴胡汤).The main development trends toward retrospective study,TCM treatment mechanism,and data mining.
基金Supported by Undergraduate Innovation and Enterpreneurship Training Program of Guangxi(S202310600067)Guangxi First-class Discipline Construction Project(GJKY[2022]1).
文摘[Objectives]This study was conducted to perform visual analysis of the research hotspots and development trends of Cyperi Rhizoma in the field of antidepressant based on CiteSpace,so as to explore the application and development direction of Cyperi Rhizoma in the field of antidepressant.[Methods]Highly-relevant literatures were selected from the core database of China National Knowledge Infrastructure(CNKI),and CiteSpace and WPS office software were employed to visually analyze relevant contents such as publishing institutions,scholars,keywords,publishing time,and citation frequency.[Results]A total of 297 domestic relevant literatures were selected.Most of the publications,institutions and authors were concentrated in universities,affiliated institutions and scientific research institutes of traditional Chinese medicine in China,and no relatively novel applied research direction has emerged.At present,the hot spots and frontiers of application were mostly concentrated in its role in treating depression,anxiety,gynecological diseases and other disorders.[Conclusions]The research on Cyperi Rhizoma for its antidepressant effects in China originated in the late 20 th century.From 2004 to 2024,studies have primarily focused on its pharmacological principles,mechanisms of action,and classification,while the exploration of its application in specific depressive disorders was limited.Overall,research progress has been relatively slow.Currently,further efforts are needed to optimize the active antidepressant components of Cyperi Rhizoma and clarify its mechanisms of action,which will facilitate its broader application in treating various stages of depressive disorders.
文摘This study examines paper-level metrics in the literature on topics related to environmental,social and governance(ESG)to provide a research agenda for hotspots and trends.Based on 755 papers on ESG in the Web of Science Core Collection database from 2004 to 2021,we use VOSviewer and CiteSpace to present a bibliometric review of publications,citation structure,authors,universities,countries,journals,and keywords on the topic.Additionally,the philosophy of the ESG system,factors affecting ESG,the financial outcomes of ESG,the association between ESG and corporate social responsibility(CSR),and ESG investing are presented as research hotspots.Furthermore,three research trends are identified:research on the influencing factors and economic consequences of ESG in the context of emerging markets,mechanism analysis of ESG’s impact on the capital market,and further research on ESG information disclosure and ESG ratings.Our study enriches ESG theory and provides new paths for researchers and practitioners.
基金Supported by the Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences:CI2021B002.
文摘Objective This study aims to analyze the current state and emerging trends in research articles related to acupuncture treatment for low back pain(LBP).Methods The Web of Science core database was utilized to retrieve relevant literature on acupuncture therapy for LBP from January 1,1997,to August 29,2023.Literature metrics analysis was conducted using Microsoft Excel,VOSviewer,SCImago Graphica,and Pajek.The analysis focused on annual publication volume,countries(regions),institutions,authors,journals,keywords,and references.Results A total of 1,434 papers on acupuncture treatment for LBP were identified,demonstrating a fluctuating growth trend over the past 25 years.Research in this field has been conducted in 57 countries,with the United States leading in terms of research output.Italy emerged as the country with the highest-quality publications,with an average citation frequency of 205.16 times.A total of 1,781 institutions contributed to research on acupuncture treatment for LBP,with Harvard University having the highest publication volume(cited 77 times).The number of authors contributing to this field reached 5,696,with In-Hyuk Ha having the highest publication count(31 papers)and Claudia-M.Witt is the most influential author(cited 2,699 times).Relevant research was published in 378 journals,with the Journal of Alternative and Complementary Medicine having the highest publication volume(77 papers),and Spine being the most influential journal(cited 3,420 times).A total of 3,854 keywords were identified,forming six main thematic clusters:care management,nerve stimulation,complementary medicine,pregnancy pain,rehabilitation research,and musculoskeletal pain.Twelve highly cited papers with citation frequencies≥85 times were recognized,predominantly consisting of randomized controlled trials.Conclusion Over the past 25 years,the number of articles published on acupuncture for LPB has shown a fluctuating trend of growth;the distribution of countries(regions)and institutions that publish articles is scattered,mainly based on inter-regional cooperation,and international cooperation is still insufficient;Journals in alternative and integrative medicine category provide references for scholars to submit manuscripts and learn about the frontiers;Acupuncture is effective and economical in the treatment of pain,and it has been widely used in the treatment of low back pain.However,the difference in efficacy between acupuncture and sham acupuncture or placebo acupuncture remains controversial.Therefore,in the future,it is necessary to consider the selection of appropriate efficacy evaluation methods in clinical trials that reflect the therapeutic advantages of acupuncture.
基金Tianjin Medical Key Discipline Construction Project(Project No.:TJYXZDXK-071C)。
文摘Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology Medicine database,PubMed,and Web of Science core collection database were used as search sources from January 2004 to December 2024,and CiteSpace software was used for visual analysis and knowledge mapping.Results:A total of 2059 Chinese and 1678 foreign literatures were included.The number of publications showed a fluctuating upward trend,but the collaboration among authors was relatively loose.Negative psychology,such as depression and anxiety,as well as the quality of life of chronic kidney disease patients,were the main research hotspots.Conclusion:In the future,it is necessary to enhance cooperation and communication among researchers,continue to explore the mechanism of mental health,optimize research designs,innovate psychological nursing intervention measures,and focus on improving the psychological resilience and social support levels of patients.
基金supported by the Natural Science Foundation of Shanxi Province(Grant No.20210302124437)the Graduate Student Research and Innovation Project of Shanxi Province(Grant No.2023KY551).
文摘In this paper,the Taixin Integrated Economic Zone in Shanxi Province is taken as the research object,and the coupling coordination degree model and bivariate spatial autocorrelation model are used to judge the coupling coordination and spatial-temporal correlation between urbanization and ecosystem service,and the hotspot analysis is used to judge the spatial-temporal trend of urbanization and ecosystem service.The results show that:(1)The urbanization level from 2000 to 2020 continued to rise,the areas with relatively high urbanization were concentrated in the central part of the study area,and the relatively high terrain areas on both sides of the study area,the urbanization was relatively slow,and the hotspot areas with highly significant and significant urbanization level from 2000 to 2020 were distributed as bands in the central part of the study area and the area was rising,and there was no Cold spot area distribution;between 2000 and 2020,the ecosystem service value in the study area increased by 2.6800×10^(8) yuan.Over these two decades,it exhibited a development trend that first rose and then declined.The woodland and grassland agglomeration areas were located on the two sides of the study area,forming highly significant and significant hotspots.Conversely,the central and northeastern parts of the study area were characterized by concentrated man-made land surfaces and croplands,resulting in the formation of highly significant and significant cold spots.(2)In the central part of the study area where man-made land surface and cultivated land are concentrated,the coupling coordination between urbanization and ecosystem service is in the intermediate dislocation and mild dislocation interval;the woodland and grassland concentration areas on both sides of the study area are ecologically fragile,and the coupling coordination between the two is in the level of less than intermediate dislocation.(3)From 2000 to 2020,urbanization and the value of ecosystem services were both negatively correlated,although the correlation coefficient was low.In the central and northeastern parts,urbanization and ecosystem service exhibited patterns of high-low,high-high,and low-low clustering.Conversely,on both sides of the study area,most of the clusters showed a low-high pattern.
基金supported by the Beijing Natural Science Foundation(Certificate Number:L234025).
文摘Spatial-temporal traffic prediction technology is crucial for network planning,resource allocation optimizing,and user experience improving.With the development of virtual network operators,multi-operator collaborations,and edge computing,spatial-temporal traffic data has taken on a distributed nature.Consequently,noncentralized spatial-temporal traffic prediction solutions have emerged as a recent research focus.Currently,the majority of research typically adopts federated learning methods to train traffic prediction models distributed on each base station.This method reduces additional burden on communication systems.However,this method has a drawback:it cannot handle irregular traffic data.Due to unstable wireless network environments,device failures,insufficient storage resources,etc.,data missing inevitably occurs during the process of collecting traffic data.This results in the irregular nature of distributed traffic data.Yet,commonly used traffic prediction models such as Recurrent Neural Networks(RNN)and Long Short-Term Memory(LSTM)typically assume that the data is complete and regular.To address the challenge of handling irregular traffic data,this paper transforms irregular traffic prediction into problems of estimating latent variables and generating future traffic.To solve the aforementioned problems,this paper introduces split learning to design a structured distributed learning framework.The framework comprises a Global-level Spatial structure mining Model(GSM)and several Nodelevel Generative Models(NGMs).NGM and GSM represent Seq2Seq models deployed on the base station and graph neural network models deployed on the cloud or central controller.Firstly,the time embedding layer in NGM establishes the mapping relationship between irregular traffic data and regular latent temporal feature variables.Secondly,GSM collects statistical feature parameters of latent temporal feature variables from various nodes and executes graph embedding for spatial-temporal traffic data.Finally,NGM generates future traffic based on latent temporal and spatial feature variables.The introduction of the time attention mechanism enhances the framework’s capability to handle irregular traffic data.Graph attention network introduces spatially correlated base station traffic feature information into local traffic prediction,which compensates for missing information in local irregular traffic data.The proposed framework effectively addresses the distributed prediction issues of irregular traffic data.By testing on real world datasets,the proposed framework improves traffic prediction accuracy by 35%compared to other commonly used distributed traffic prediction methods.
基金Supported by the Science and Technology Project of Jiangsu Provincial Health Commission,No.ZDB2020003Nantong Science and Technology Program Project,No.MS22022035+1 种基金the Clinical Research Project of the Affiliated Hospital of Nantong University,No.LCYJB06Grant Fund for Research Hospitals in Jiangsu Province,No.YJXYY202204-YSB74.
文摘BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.
基金supported by Natural Science Foundation Project of Guangdong Province(2020A1515010276)Guangzhou Science and Technology Project(2024A03J0207)Science and Technology Project of Quanzhou City(2022N030S).
文摘Purpose:To explore the status of current global research,trends and hotspots in the field of lupus retinopathy(LR).Methods:Publications related to LR from 2003 to 2022 were extracted from the Web of Science Core Collection(WOSCC).Citespace 6.2.R4 software was used to analyze the raw data.Bibliometric parameters such as publication quality,countries,authors,international cooperation,and keywords were taken into account.Results:A total of 315 publications were retrieved.The annual research output has increased significantly since 2010,especially since 2017.Marmor MF,Lee BR,and Melles RB contributed the highest number of articles published on LR.The top three publishing countries were the USA,China,and UK.Stanford University,Hanyang University,and Harvard Medical School were the top three producing institutions in the world for LR research.The top ten commonly used keywords include the following:systemic lupus erythematosus,retinopathy,retinal toxicity,antimalarial,hydroxychloroquine,optical coherence tomography,antiphospholipid syndrome,microvascular,optic neuritis,optical coherence tomography angiography.The keywords"optical coherence tomography angiography"and"vessel density"have exploded in recent years.Conclusion:By analyzing the current body of LR literature,specific global trends and hotspots for LR research were identified,presenting valuable information to track cutting-edge progress and for future cooperation between various authors and institutions.
基金supported by the National Natural Science Foundation of China[grant numbers 42101449,42090012 and 61825103]the Natural Science Foundation of Hubei Province,China[grant numbers 2022CFB773 and 2020CFA001]+2 种基金the Key Research and Development Program of Hubei Province,China[grant number 2022BAA048]the Chutian Scholar Program of Hubei Provincethe Yellow Crane Talent Scheme.
文摘Road traffic crashes are becoming thorny issues being faced worldwide.Traffic crashes are spatiotemporal events and the research on the spatiotemporal patterns and variation trends of traffic crashes has been carried out.However,the impact of built environment on traffic crash spatiotemporal trends has not received much attention.Moreover,the spatial non-stationarity between the variation trends of traffic crashes and their influencing factors is usually neglected.To make up for the lack of analysis of built environment factors influencing spatiotemporal hotspot trends in traffic crashes,this paper proposed a method of“ST-GWLR”for analyzing the influence of built environment factors on spatiotemporal hotspot trends of traffic crashes by combining the spatiotemporal hotspot trend analysis and Geographically Weighted Logistic Regression(GWLR)modeling methods.Firstly,the traffic crash spatiotemporal hotspot trends were explored using the space-time cube model,hotspot analysis,and Mann-Kendall trend test.Then,the GWLR was introduced to capture the spatial non-stationarity neglected by the classic Global Logistic Regression(GLR)model,to improve the accuracy of the model estimation.GWLR model is used for the first time to analyze the significant local correlation between the traffic crash spatiotemporal hotspot trends and the built environment factors,to accurately and effectively identify the built environment factors that have significant influences on the hotspot trends of traffic crashes.The performance of the GWLR models and GLR models was examined and compared sufficiently.The results showed that the proposed ST-GWLR,which captured spatial non-stationarity,performed better than the classic GLR combined with spatiotemporal analysis,and improved the prediction accuracy of the models by 14.9%,13.9%,and 15.1%,respectively.There were significant local correlations between intensifying hotspots and persistent hotspots of traffic crashes and the built environment factors.The findings of this paper have positive implications for traffic safety management and urban built environment planning.
