Based on the frequency of themes covered at the 35th International Geographical Congress(IGC)and the 2024 American Association of Geographers Annual Meeting(AAG-AM),we present an integrated analysis of current researc...Based on the frequency of themes covered at the 35th International Geographical Congress(IGC)and the 2024 American Association of Geographers Annual Meeting(AAG-AM),we present an integrated analysis of current research hotspots in geography.The interdisciplinary approach of geography in tackling global challenges,including climate change,urbanization,and sustainable development is highlighted.Hotspot analysis of the 35th IGC reveals the prominence of“Tourism,Leisure,and Global Change,”and“Urban Geography”as key themes,whereas the 2024 AAG-AM placed more emphasis on“GeoAI and Deep Learning,”and“Geospatial Data Science for Sustainability.”Frontier analysis,based on emerging research beyond the two conferences,highlights major critical issues being confronted by geographers,notably Earth’s surface systems,spatial patterns of human activities,intelligent remote sensing,climate change adaptation,biodiversity conservation,hazards and disaster risk,planetary boundaries,coupled human and natural systems,and global and regional sustainability.The analysis demonstrates that geographical research is becoming more diverse and systematic,and artificial intelligence technology is increasingly being harnessed.This not only reflects specific regional interests and priorities but also shows the dynamic development of geographical research and its important role in dealing with the challenges of the 21st century.展开更多
Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field o...Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field of nursing.Methods:Using bibliometric methods and Citespace software,this study conducts a statistical and visual analysis of publications on TIR Theory from CNKI,focusing on annual publication volumes,author collaboration networks,high-frequency keywords,and emergent terms.Results:The study statistically analyzed the time distribution and research hotspots of 117 relevant papers.The annual publication volume shows a gradual upward trend,though the overall volume remains low.High-frequency keywords such as“family nursing,”“quality of life,”“acute myocardial infarction,”and“stroke”form the core research themes.Conclusion:Research on TIR Theory in China’s nursing field is still in the exploratory stage,and its attention and emphasis need to be enhanced.As it aligns with modern medical models,its application scope in nursing is expanding,promoting the high-quality,scientific,and diversified development of nursing services in China.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
China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing...China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.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
In renewing tissues,mutations conferring selective advantage may result in clonal expansions1-4.In contrast to somatic tissues,mutations driving clonal expansions in spermatogonia(CES)are also transmitted to the next ...In renewing tissues,mutations conferring selective advantage may result in clonal expansions1-4.In contrast to somatic tissues,mutations driving clonal expansions in spermatogonia(CES)are also transmitted to the next generation.This results in an effective increase of de novo mutation rate for CES drivers5-8.CES was originally discovered through extreme recurrence of de novo mutations causing Apert syndrome5.Here,we develop a systematic approach to discover CES drivers as hotspots of human de novo mutation.Our analysis of 54,715 trios ascertained for rare conditions9-13,6,065 control trios12,14-19 and population variation from 807,162 mostly healthy individuals20 identifies genes manifesting rates of de novo mutations inconsistent with plausible models of disease ascertainment.We propose 23 genes hypermutable at loss-of-function(LoF)sites as candidate CES drivers.An extra 17 genes feature hypermutable missense mutations at individual positions,suggesting CES acting through gain of function.CES increases the average mutation rate roughly 17-fold for LoF genes in both control trios and sperm and roughly 500-fold for pooled gain-of-function sites in sperm21.Positive selection in the male germline elevates the prevalence of genetic disorders and increases polymorphism levels,masking the effect of negative selection in human populations.展开更多
BACKGROUND The lack of specific symptoms of gastric cancer(GC)causes great challenges in its early diagnosis.Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the...BACKGROUND The lack of specific symptoms of gastric cancer(GC)causes great challenges in its early diagnosis.Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the survival rates.AIM To assist physicians in identifying changes in the output of publications and research hotspots related to risk factors for GC,constructing a list of key risk factors,and providing a reference for early identification of patients at high risk for GC.METHODS Research articles on risk factors for GC were searched in the Web of Science core collection,and relevant information was extracted after screening.The literature was analyzed using Microsoft Excel 2019,CiteSpace V,and VOSviewer 1.6.18.RESULTS A total of 2514 papers from 72 countries and 2507 research institutions were retrieved.China(n=1061),National Cancer Center(n=138),and Shoichiro Tsugane(n=36)were the most productive country,institution,or author,respectively.The research hotspots in the study of risk factors for GC are summarized in four areas,namely:Helicobacter pylori(H.pylori)infection,single nucleotide polymorphism,bio-diagnostic markers,and GC risk prediction models.CONCLUSION In this study,we found that H.pylori infection is the most significant risk factor for GC;single-nucleotide polymorphism(SNP)is the most dominant genetic factor for GC;bio-diagnostic markers are the most promising diagnostic modality for GC.GC risk prediction models are the latest current research hotspot.We conclude that the most important risk factors for the development of GC are H.pylori infection,SNP,smoking,diet,and alcohol.展开更多
The Indo-Burma Biodiversity Hotspot is renowned for its rich biodiversity,including that of vascular plants.However,the fern diversity and its endemism in this hotspot have not been well understood and so far,the dive...The Indo-Burma Biodiversity Hotspot is renowned for its rich biodiversity,including that of vascular plants.However,the fern diversity and its endemism in this hotspot have not been well understood and so far,the diversity of very few groups of ferns in this region has been explored using combined molecular and morphological approaches.Here,we updated the plastid phylogeny of the Java fern genus Leptochilus with 226(115%increase of the latest sampling)samples across the distribution range,specifically those of three phylogenetically significant species,Leptochilus ovatus,L.pedunculatus,and L.pothifolius.We also reconstructed the first nuclear phylogeny of the genus based on pgiC gene data.Based on molecular and morphological evidence,we identified three new major clades and six new subclades,redefined three existing species,discovered a number of cryptic species of the genus,and elucidated the evolution of the three most variable characters.Our divergence time analyses and ancestral area reconstruction showed that Leptochilus originated in the Oligocene and diversified from early Miocene and 15 dispersal events from lower to higher latitudes are identified.The evolution of three most important morphological characters is analyzed in a context of the new phylogeny.Our analysis showed that 30(59%of total 51)species of Leptochilus occur in Indo-Burma hotspot,24(80%of the 30 species)of which are endemic to this hotspot.We argue that the Indo-Burma hotspot should be recognized as a diversity hotspot for ferns.展开更多
Crime hotspot detection is essential for law enforcement agencies to allocate resources effectively,predict potential criminal activities,and ensure public safety.Traditional methods of crime analysis often rely on ma...Crime hotspot detection is essential for law enforcement agencies to allocate resources effectively,predict potential criminal activities,and ensure public safety.Traditional methods of crime analysis often rely on manual,time-consuming processes that may overlook intricate patterns and correlations within the data.While some existing machine learning models have improved the efficiency and accuracy of crime prediction,they often face limitations such as overfitting,imbalanced datasets,and inadequate handling of spatiotemporal dynamics.This research proposes an advanced machine learning framework,CHART(Crime Hotspot Analysis and Real-time Tracking),designed to overcome these challenges.The proposed methodology begins with comprehensive data collection from the police database.The dataset includes detailed attributes such as crime type,location,time and demographic information.The key steps in the proposed framework include:Data Preprocessing,Feature Engineering that leveraging domain-specific knowledge to extract and transform relevant features.Heat Map Generation that employs Kernel Density Estimation(KDE)to create visual representations of crime density,highlighting hotspots through smooth data point distributions and Hotspot Detection based on Random Forest-based to predict crime likelihood in various areas.The Experimental evaluation demonstrated that CHART shows superior performance over benchmark methods,significantly improving crime detection accuracy by getting 95.24%for crime detection-I(CD-I),96.12%for crime detection-II(CD-II)and 94.68%for crime detection-III(CD-III),respectively.By designing the application with integrating sophisticated preprocessing techniques,balanced data representation,and advanced feature engineering,the proposed model provides a reliable and practical tool for real-world crime analysis.Visualization of crime hotspots enables law enforcement agencies to strategize effectively,focusing resources on high-risk areas and thereby enhancing overall crime prevention and response efforts.展开更多
BACKGROUND The transjugular intrahepatic portosystemic shunt(TIPS)is an important technique for treating complications related to portal hypertension in patients with cirrhosis,and the number of publications in the TI...BACKGROUND The transjugular intrahepatic portosystemic shunt(TIPS)is an important technique for treating complications related to portal hypertension in patients with cirrhosis,and the number of publications in the TIPS field continues to rise.AIM To facilitate an understanding of the research status and hotspots in the field of TIPS using CiteSpace bibliometric analysis.METHODS CiteSpace is a software that depicts the strength of relationships through graphics and connections with diverse functionalities and can be used to analyze the status and hotspots of areas of research.Articles on TIPS in the Web of Science Core Collection were retrieved,and CiteSpace software was used to visualize and analyze the number of publications,journals,countries,institutions,authors,keywords,and citations.RESULTS A total of 985 relevant documents were included in the analysis.From January 2013 to December 2022,the number of publications increased annually.The journal,institution,and author with the greatest number of publications in the field of TIPS are the Journal of Vascular and Interventional Radiology,the University of Bonn,and Jonel Trebicka,respectively.The main keywords used in this field are“transjugular intrahepatic portosystemic shunt”,“portal hypertension”,“cirrhosis”,“management”,“stent”,“hepatic encephalopathy”,“refractory ascite”,“survival”,“risk”,and“variceal bleeding”.The greatest obstacle to TIPS placement is currently the occurrence of hepatic encephalopathy.The research hotspots are the mechanism,risk factors,management,and control of hepatic encephalopathy.CONCLUSION This bibliometric analysis reported the research status and hotspots of TIPS.Research on postoperative hepatic encephalopathy is the research hotspot in this field.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
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
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
Pathophysiology is a science that deeply explores the occurrence and development of diseases,studies the mechanisms behind the final results,and integrates knowledge from multiple disciplines such as physiology,bioche...Pathophysiology is a science that deeply explores the occurrence and development of diseases,studies the mechanisms behind the final results,and integrates knowledge from multiple disciplines such as physiology,biochemistry,and immunology.The core lies in revealing the pathological and physiological changes during the disease process and analyzing the fundamental principles.In the medical education system,pathophysiology is an integral part of the foundational curriculum,serving as a bridge between basic medicine and clinical medicine.By studying pathophysiology,students can comprehensively understand the initial causes of diseases,pathological processes,and functional metabolic changes of the body under disease conditions.This discipline is also committed to cultivating students’systematic thinking,critical analysis skills,and problem-solving abilities,comprehensively enhancing their overall quality,making them more competitive and adaptable in the medical field.展开更多
基金supported by the National Natural Science Foundation of China(Grants No.42430505,42201299)the Young Elite Scientists Sponsorship Program by CAST(Grant No.2023QNRC001).
文摘Based on the frequency of themes covered at the 35th International Geographical Congress(IGC)and the 2024 American Association of Geographers Annual Meeting(AAG-AM),we present an integrated analysis of current research hotspots in geography.The interdisciplinary approach of geography in tackling global challenges,including climate change,urbanization,and sustainable development is highlighted.Hotspot analysis of the 35th IGC reveals the prominence of“Tourism,Leisure,and Global Change,”and“Urban Geography”as key themes,whereas the 2024 AAG-AM placed more emphasis on“GeoAI and Deep Learning,”and“Geospatial Data Science for Sustainability.”Frontier analysis,based on emerging research beyond the two conferences,highlights major critical issues being confronted by geographers,notably Earth’s surface systems,spatial patterns of human activities,intelligent remote sensing,climate change adaptation,biodiversity conservation,hazards and disaster risk,planetary boundaries,coupled human and natural systems,and global and regional sustainability.The analysis demonstrates that geographical research is becoming more diverse and systematic,and artificial intelligence technology is increasingly being harnessed.This not only reflects specific regional interests and priorities but also shows the dynamic development of geographical research and its important role in dealing with the challenges of the 21st century.
文摘Objective:Based on the CNKI database,this study analyzes the current research status and hotspots of the Timing it Right(TIR)Theory in China,providing insights and references for its further development in the field of nursing.Methods:Using bibliometric methods and Citespace software,this study conducts a statistical and visual analysis of publications on TIR Theory from CNKI,focusing on annual publication volumes,author collaboration networks,high-frequency keywords,and emergent terms.Results:The study statistically analyzed the time distribution and research hotspots of 117 relevant papers.The annual publication volume shows a gradual upward trend,though the overall volume remains low.High-frequency keywords such as“family nursing,”“quality of life,”“acute myocardial infarction,”and“stroke”form the core research themes.Conclusion:Research on TIR Theory in China’s nursing field is still in the exploratory stage,and its attention and emphasis need to be enhanced.As it aligns with modern medical models,its application scope in nursing is expanding,promoting the high-quality,scientific,and diversified development of nursing services in China.
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supported by the National Natural Science Foundation of China(Grant No.42330205)the Open Fund of State Key Labora-tory of Remote Sensing Science and Beijing Engineering Research Center for Global Land Remote Sensing Products(Grant No.OF202206).
文摘China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.
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In renewing tissues,mutations conferring selective advantage may result in clonal expansions1-4.In contrast to somatic tissues,mutations driving clonal expansions in spermatogonia(CES)are also transmitted to the next generation.This results in an effective increase of de novo mutation rate for CES drivers5-8.CES was originally discovered through extreme recurrence of de novo mutations causing Apert syndrome5.Here,we develop a systematic approach to discover CES drivers as hotspots of human de novo mutation.Our analysis of 54,715 trios ascertained for rare conditions9-13,6,065 control trios12,14-19 and population variation from 807,162 mostly healthy individuals20 identifies genes manifesting rates of de novo mutations inconsistent with plausible models of disease ascertainment.We propose 23 genes hypermutable at loss-of-function(LoF)sites as candidate CES drivers.An extra 17 genes feature hypermutable missense mutations at individual positions,suggesting CES acting through gain of function.CES increases the average mutation rate roughly 17-fold for LoF genes in both control trios and sperm and roughly 500-fold for pooled gain-of-function sites in sperm21.Positive selection in the male germline elevates the prevalence of genetic disorders and increases polymorphism levels,masking the effect of negative selection in human populations.
基金Supported by Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences,No.CI2023C015YLNational Natural Science Foundation of China,No.82174352.
文摘BACKGROUND The lack of specific symptoms of gastric cancer(GC)causes great challenges in its early diagnosis.Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the survival rates.AIM To assist physicians in identifying changes in the output of publications and research hotspots related to risk factors for GC,constructing a list of key risk factors,and providing a reference for early identification of patients at high risk for GC.METHODS Research articles on risk factors for GC were searched in the Web of Science core collection,and relevant information was extracted after screening.The literature was analyzed using Microsoft Excel 2019,CiteSpace V,and VOSviewer 1.6.18.RESULTS A total of 2514 papers from 72 countries and 2507 research institutions were retrieved.China(n=1061),National Cancer Center(n=138),and Shoichiro Tsugane(n=36)were the most productive country,institution,or author,respectively.The research hotspots in the study of risk factors for GC are summarized in four areas,namely:Helicobacter pylori(H.pylori)infection,single nucleotide polymorphism,bio-diagnostic markers,and GC risk prediction models.CONCLUSION In this study,we found that H.pylori infection is the most significant risk factor for GC;single-nucleotide polymorphism(SNP)is the most dominant genetic factor for GC;bio-diagnostic markers are the most promising diagnostic modality for GC.GC risk prediction models are the latest current research hotspot.We conclude that the most important risk factors for the development of GC are H.pylori infection,SNP,smoking,diet,and alcohol.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research(STEP)program(2019QZKK0502)a grant from Yunnan Fundamental Research Projects(Grant#202201BC070001)a Yunnan Revitalization Talent Support Program“Young Talent”Project and a CAS Scholarship to Liang Zhang.
文摘The Indo-Burma Biodiversity Hotspot is renowned for its rich biodiversity,including that of vascular plants.However,the fern diversity and its endemism in this hotspot have not been well understood and so far,the diversity of very few groups of ferns in this region has been explored using combined molecular and morphological approaches.Here,we updated the plastid phylogeny of the Java fern genus Leptochilus with 226(115%increase of the latest sampling)samples across the distribution range,specifically those of three phylogenetically significant species,Leptochilus ovatus,L.pedunculatus,and L.pothifolius.We also reconstructed the first nuclear phylogeny of the genus based on pgiC gene data.Based on molecular and morphological evidence,we identified three new major clades and six new subclades,redefined three existing species,discovered a number of cryptic species of the genus,and elucidated the evolution of the three most variable characters.Our divergence time analyses and ancestral area reconstruction showed that Leptochilus originated in the Oligocene and diversified from early Miocene and 15 dispersal events from lower to higher latitudes are identified.The evolution of three most important morphological characters is analyzed in a context of the new phylogeny.Our analysis showed that 30(59%of total 51)species of Leptochilus occur in Indo-Burma hotspot,24(80%of the 30 species)of which are endemic to this hotspot.We argue that the Indo-Burma hotspot should be recognized as a diversity hotspot for ferns.
基金appreciation to King Saud University for funding this work through Researchers Supporting Project number(RSPD2025R685),King Saud University,Riyadh,Saudi Arabia.
文摘Crime hotspot detection is essential for law enforcement agencies to allocate resources effectively,predict potential criminal activities,and ensure public safety.Traditional methods of crime analysis often rely on manual,time-consuming processes that may overlook intricate patterns and correlations within the data.While some existing machine learning models have improved the efficiency and accuracy of crime prediction,they often face limitations such as overfitting,imbalanced datasets,and inadequate handling of spatiotemporal dynamics.This research proposes an advanced machine learning framework,CHART(Crime Hotspot Analysis and Real-time Tracking),designed to overcome these challenges.The proposed methodology begins with comprehensive data collection from the police database.The dataset includes detailed attributes such as crime type,location,time and demographic information.The key steps in the proposed framework include:Data Preprocessing,Feature Engineering that leveraging domain-specific knowledge to extract and transform relevant features.Heat Map Generation that employs Kernel Density Estimation(KDE)to create visual representations of crime density,highlighting hotspots through smooth data point distributions and Hotspot Detection based on Random Forest-based to predict crime likelihood in various areas.The Experimental evaluation demonstrated that CHART shows superior performance over benchmark methods,significantly improving crime detection accuracy by getting 95.24%for crime detection-I(CD-I),96.12%for crime detection-II(CD-II)and 94.68%for crime detection-III(CD-III),respectively.By designing the application with integrating sophisticated preprocessing techniques,balanced data representation,and advanced feature engineering,the proposed model provides a reliable and practical tool for real-world crime analysis.Visualization of crime hotspots enables law enforcement agencies to strategize effectively,focusing resources on high-risk areas and thereby enhancing overall crime prevention and response efforts.
基金National Natural Science Foundation of China,No.82273484Project of Chongqing Young and Middle-aged Medical Talents.
文摘BACKGROUND The transjugular intrahepatic portosystemic shunt(TIPS)is an important technique for treating complications related to portal hypertension in patients with cirrhosis,and the number of publications in the TIPS field continues to rise.AIM To facilitate an understanding of the research status and hotspots in the field of TIPS using CiteSpace bibliometric analysis.METHODS CiteSpace is a software that depicts the strength of relationships through graphics and connections with diverse functionalities and can be used to analyze the status and hotspots of areas of research.Articles on TIPS in the Web of Science Core Collection were retrieved,and CiteSpace software was used to visualize and analyze the number of publications,journals,countries,institutions,authors,keywords,and citations.RESULTS A total of 985 relevant documents were included in the analysis.From January 2013 to December 2022,the number of publications increased annually.The journal,institution,and author with the greatest number of publications in the field of TIPS are the Journal of Vascular and Interventional Radiology,the University of Bonn,and Jonel Trebicka,respectively.The main keywords used in this field are“transjugular intrahepatic portosystemic shunt”,“portal hypertension”,“cirrhosis”,“management”,“stent”,“hepatic encephalopathy”,“refractory ascite”,“survival”,“risk”,and“variceal bleeding”.The greatest obstacle to TIPS placement is currently the occurrence of hepatic encephalopathy.The research hotspots are the mechanism,risk factors,management,and control of hepatic encephalopathy.CONCLUSION This bibliometric analysis reported the research status and hotspots of TIPS.Research on postoperative hepatic encephalopathy is the research hotspot in this field.
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 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.
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.
文摘Pathophysiology is a science that deeply explores the occurrence and development of diseases,studies the mechanisms behind the final results,and integrates knowledge from multiple disciplines such as physiology,biochemistry,and immunology.The core lies in revealing the pathological and physiological changes during the disease process and analyzing the fundamental principles.In the medical education system,pathophysiology is an integral part of the foundational curriculum,serving as a bridge between basic medicine and clinical medicine.By studying pathophysiology,students can comprehensively understand the initial causes of diseases,pathological processes,and functional metabolic changes of the body under disease conditions.This discipline is also committed to cultivating students’systematic thinking,critical analysis skills,and problem-solving abilities,comprehensively enhancing their overall quality,making them more competitive and adaptable in the medical field.
