Bibliometric analysis of hotspots and trends of global myopia research

AIM:To gain insights into the global research hotspots and trends of myopia.METHODS:Articles were downloaded from January 1,2013 to December 31,2022 from the Science Core Database website and were mainly statistically analyzed by bibliometrics software.RESULTS:A total of 444 institutions in 87 countries published 4124 articles.Between 2013 and 2022,China had the highest number of publications(n=1865)and the highest H-index(61).Sun Yat-sen University had the highest number of publications(n=229)and the highest H-index(33).Ophthalmology is the main category in related journals.Citations from 2020 to 2022 highlight keywords of options and reference,child health(pediatrics),myopic traction mechanism,public health,and machine learning,which represent research frontiers.CONCLUSION:Myopia has become a hot research field.China and Chinese institutions have the strongest academic influence in the field from 2013 to 2022.The main driver of myopic research is still medical or ophthalmologists.This study highlights the importance of public health in addressing the global rise in myopia,especially its impact on children’s health.At present,a unified theoretical system is still needed.Accurate surgical and therapeutic solutions must be proposed for people with different characteristics to manage and intervene refractive errors.In addition,the benefits of artificial intelligence(AI)models are also reflected in disease monitoring and prediction.

Unveiling Global Human Trafficking Trends: A Comprehensive Analysis

This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.

Human brain organoid:trends,evolution,and remaining challenges

Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and diseases.Although various studies and reviews have described developments and advancements in brain organoids,few studies have comprehensively summarized and analyzed the global trends in this area of neuroscience.To identify and further facilitate the development of cerebral organoids,we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 years.First,annual publications,countries/regions,organizations,journals,authors,co-citations,and keywords relating to brain organoids were identified.The hotspots in this field were also systematically identified.Subsequently,current applications for brain organoids in neuroscience,including human neural development,neural disorders,infectious diseases,regenerative medicine,drug discovery,and toxicity assessment studies,are comprehensively discussed.Towards that end,several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.

Global hotspots and future directions for drugs to improve the skin flap survival: A bibliometric and visualized review

Skin flaps are frequently employed in plastic and reconstructive surgery to address tissue defects.However,their low survival rates remain a challenge,attributed to vascular crisis and necrosis.Despite numerous studies investigating drugs to alleviate flap necrosis,a comprehensive analysis of the research trend in this critical area is lacking.To gain a deeper understanding of the current status,research focal points,and future trends in drugs aimed at enhancing flap survival,a thorough retrospective analysis is imperative.This study aims to employ bibliometric methods to scrutinize the evolution,mechanisms,and forthcoming trends of drugs targeting flap survival improvement.Using VOSviewer software,we quantitatively and visually depict 1)annual temporal trends in the number of documents and citations;2)national/regional publications and their collaborations;3)institutional and authors’contribution;4)journal contribution and relevance;and 5)analysis of research hotspots and directions derived from keywords.Ultimately,we discussed the prospects and challenges of future advances and clinical translation of drugs designed to enhance skin flap survival.In conclusion,the field of pharmacology dedicated to improving skin flap survival is expanding,and this study aims to offer a fresh perspective to promote the advancement and clinical application of such drugs.

Systematic bibliometric analysis of research hotspots and trends on the application of premium IOLs in the past 2 decades

AIM:To analysis of research hotspots and trends on the application of premium intraocular lens(PIOLs)in the past 2 decades.METHODS:The literature search was performed on the Web of Science and included PIOLs studies published between January 2000 and December 2022.The retrieved literature was collated and analyzed by R-tool’s Bibliometrix package,CitNetExplorer,CiteSpace and other software.RESULTS:A total of 1801 articles about PIOLs were obtained,most of which were published in Spain and the United States.The organization that published the most articles was the University of Valencia in Spain.Alió JL,and Montés-Micó R,from Spain were the most influential authors in this field.The Journal of Cataract and Refractive Surgery and Journal of Refractive Surgery were the core journals for this field;the top 10 cited articles mainly focus on postoperative satisfaction with multifocal intraocular lens(IOLs)and postoperative results of toric IOLs.Through the keyword analysis,we found that trifocal IOLs,astigmatism and extended depth of focus(EDoF)IOLs are the most discussed topics at present,and the importance of astigmatism and the clinical application of the new generation of PIOLs are the emerging research trends.CONCLUSION:Bibliometric analysis can effectively help to identify multilevel concerns in PIOLs research and the prevailing research trends in the realm of PIOLs encompass the adoption of EDoF IOLs,trifocal IOLs,and their respective Toric models.

Global trends in water and sediment fluxes of the world’s large rivers

Water and sediment transport from rivers to oceans is of primary importance in global geochemical cycle.Against the background of global change,this study examines the changes in water and sediment fluxes and their drivers for 4307 large rivers worldwide(basin area!1000 km2)based on the longest available records.Here we find that 24%of the world’s large rivers experienced significant changes in water flux and 40%in sediment flux,most notably declining trends in water and sediment fluxes in Asia’s large rivers and an increasing trend in suspended sediment concentrations in the Amazon River.In particular,nine binary patterns of changes in water-sediment fluxes are interpreted in terms of climate change and human impacts.The change of precipitation is found significantly correlated to the change of water flux in 71%of the world’s large rivers,while dam operation and irrigation rather control the change of sediment flux in intensively managed catchments.Globally,the annual water flux from rivers to sea of the recent years remained stable compared with the long-time average annual value,while the sediment flux has decreased by 20.8%.

New Global Economic Trends

Assessing the new situation and new issues of the global economy at the turn ofthe century.we feel excitement and anxiety---excitement over the currentworldwide economic dynamism pregnant with a promising future of a"golden age"and anxiety about the raging East Asian financial crisis and some latent economicuncertainties of the world at large.This paper attempts to analyze the new salientfeatures of the global economy and their impact on China involved now in the pro-cess of converging with the global market system.

The Trends of Globalization and Digitalization are Changing the Market Contexts

We know that SME’s that trade online grow faster and create more jobs than those that only operate in their domestic markets.The Internet is breaking down many traditional barriers to global trade,but there is still much governments can do to speed and enable SME digitization and ecommerce.The opportunity is huge at

Global Trend of Low-carbon Economy and China's Responses

Based on the analysis on the global economic crisis,climate change crisis and their mutual underlying reasons,the authors believe that low-carbon economy has become an inevitable choice to break through the dual crises,coordinate the economic development,and protect the global climate.The global trend of low-carbon economy finds expression in Green Recovery currently,while,in a long run,it will give rise to a new pattern of world competition in politics,economy,technology,trade and finance.The impact of the global trend of low-carbon economy on China can not be overlooked,and it is both a challenge and an opportunity for China＇s future development.Based on comparative studies on the low-carbon economy of China,the U.S.,EU and Japan,the authors conclude that China should blaze a new path of lowcarbon economy development with Chinese characteristics,and the authors have put forward relevant countermeasures for China to address the global trend of low-carbon economy from angles of countries,enterprises and the public

Analysis of the trend of global power sources based on comment emotion mining

In recent years,renewable energy technologies have been developed vigorously,and related supporting policies have been issued.The developmental trend of different energy sources directly affects the future developmental pattern of the energy and power industry.Energy trend research can be quantified through data statistics and model calculations;however,parameter settings and optimization are difficult,and the analysis results sometimes do not reflect objective reality.This paper proposes an energy and power information analysis method based on emotion mining.This method collects energy commentary news and literature reports from many authoritative media around the world and builds a convolutional neural network model and a text analysis model for topic classification and positive/negative emotion evaluation,which helps obtain text evaluation matrixes for all collected texts.Finally,a long-short-term memory model algorithm is employed to predict the future development prospects and market trends for various types of energy based on the analyzed emotions in different time spans.Experimental results indicate that energy trend analysis based on this method is consistent with the real scenario,has good applicability,and can provide a useful reference for the development of energy and power resources and of other industry areas as well.

Restoration of Time-Spatial Scales in Global Temperature Data

The objective of this paper is to utilize images of spatial and temporal fluctuations of temperature over the Earth to study the global climate variation. We illustrated that monthly temperature observations from weather stations could be decomposed as components with different time scales based on their spectral distribution. Kolmogorov-Zurbenko (KZ) filters were applied to smooth and interpolate gridded temperature data to construct global maps for long-term (≥ 6 years) trends and El Nino-like (2 to 5 years) movements over the time period of 1893 to 2008. Annual temperature seasonality, latitude and altitude effects have been carefully accounted for to capture meaningful spatiotemporal patterns of climate variability. The result revealed striking facts about global temperature anomalies for specific regions. Correlation analysis and the movie of thermal maps for El Nino-like component clearly supported the existence of such climate fluctuations in time and space.

A Systematic Analysis of Systems Approach and Flood Risk Management Research:Trends,Gaps,and Opportunities

Flooding is a global threat,necessitating a comprehensive management approach.Due to the complexity of managing flood hazards and risks,researchers have advocated for holistic,comprehensive,and integrated approaches.This study,employing a systems thinking perspective,assessed global flood risk management research trends,gaps,and opportunities using132 published documents in BibTeX format.A systematic review of downloaded documents from the Scopus and Web of Science databases revealed slow progress of approximately 11.61% annual growth in applying systems thinking and its concomitant approaches to understanding global flood risk management over the past two decades compared to other fields like water resource management and business management systems.A significant gap exists in the application of systems thinking methodologies to flood risk management research between developed and developing countries,particularly in Africa,highlighting the urgency of reoriented research and policy efforts.The application gaps of the study methodology are linked to challenges outlined in existing literature,such as issues related to technical expertise and resource constraints.This study advocates a shift from linear to holistic approaches in flood risk management,aligned with the Sendai Framework for Disaster Risk Reduction 2015-2023 and the Sustainable Development Goals.Collaboration among researchers,institutions,and countries is essential to address this global challenge effectively.

Adaptive and local analysis of climate data

This paper focuses on how to extract physically meaningful information from climate data,with emphases placed on adaptive and local analysis. It is argued that many traditional statistical analysis methods with rigorous mathematical footing may not be efficient in extracting essential physical information from climate data;rather,adaptive and local analysis methods that agree well with fundamental physical principles are more capable of capturing key information of climate data. To illustrate the improved power of adaptive and local analysis of climate data,we also introduce briefly the empirical mode decomposition and its later developments.

Characteristics of gravity signal and loading effect in China

The complex geographical environment in China makes its gravity signals miscellaneous.This work gives a comprehensive representation and explanation in secular trend of gravity change in different regions,the key features of which include positive trend in inner Tibet Plateau and South China and negative trend in North China plain and high mountain Asia（HMA）.We also present the patterns of amplitudes and phases of annual and semiannual change.The mechanism underlying the semiannual period is explicitly discussed.The displacement in three directions expressed in terms of geo-potential spherical coefficients and load Love numbers are given.A case study applied with these equations is presented.The results show that Global Positioning System（GPS） observations can be used to compare with Gravity Recovery and Climate Experiment（GRACE） derived displacement and the vertical direction has a signal-noise-ratio of about one order of magnitude larger than the horizontal directions.