Current Hotspots Research Articles

A Bibliometric Analysis: Current Perspectives and Potential Trends of Enzyme Thermostability from 1991-2022.

Thermostability is considered a crucial parameter to evaluate the viability of enzymes in industrial applications. Over the past 31years, many studies have been reported on the thermostability of enzymes. However, there is no systematic bibliometric analysis of publications on the thermostability of enzymes. In this study, 16,035 publications related to the thermostability of enzymes were searched and collected, showing an increasing annual trend. China contributed the most publications, while the United States had the highest citation count. International Journal of Biological Macromolecules is the most productive journal in the research field. Moreover, Chinese acad sci and Khosro Khajeh are the most active institutions and prolific authors in the field, respectively. Analysis of references with the strongest citation bursts and keyword co-occurrences, magnetic nanoparticles, metal-organic frameworks, molecular dynamics, and rational design are current hot spots and significant future research directions. This study is the first comprehensive bibliometric analysis summarizing trends and developments in enzyme thermostability research. Our findings could provide scholars with an understanding of the fundamental knowledge framework of the field and identify recent potential hotspots and research trends that could facilitate the discovery of collaboration opportunities.

Emerging Trends of Self-regulated Learning: A Comprehensive Bibliometric Analysis

Barry J Zimmerman considered that self-regulated learning is an active learning process including strategy use, metacognition, and motivation. Self-regulation failure is the core problem of academic procrastination, which seriously threatens academic success. The present research aims to provide a complete outline of SRL and catch the trends and current hotspots. VOSviewer and Bibliometric software was used to analyze the data from the Web of Science core collection database. The results showed that there are a considerable number of publications of articles on self-regulated learning every year; the USA is the most influential country, and Maastricht University is the most productive institution; it is clear that most authors do not like to cooperate with others, which leads to major groups of writers like Azevedo Roger and Gasevic Dragan. The Frontiers in Psychology is an influential journal that received much more articles and citations. The main hotspots of self-regulated learning were: (a) self-regulated learning; (b) self-regulation; (c) metacognition; (d) motivation; (e) learning analytics. In a word, this study is useful for practitioners and scholars to comprehensively understand the trend of self-regulated learning research.

Genome-wide analysis and identification of light-harvesting chlorophyll a/b binding (LHC) gene family and BSMV-VIGS silencing TaLHC86 reduced salt tolerance in wheat

The discovery and identification of gene families by using wide-genome and public databases is an effective way to gain initial insight into gene function, which also is one of the current hot spots of research. Chlorophyll ab-binding proteins (LHC) are important for photosynthesis and widely involved in plant adversity stress. However, the study in wheat has not been reported. In this study, we identified 127 TaLHC members from common wheat which were unevenly distributed on all chromosomes except 3B and 3D. All members divided into three subfamilies, LHC a, LHC b and the LHC t which was only discovered in wheat. All of them had maximum expression in leaves and contained multiple light-responsive cis-acting element, which were evidence of the extensive involvement of LHC families in photosynthesis. In addition, we also analyzed their collinear relationship, targeting relationship with miRNA and their responses under different stresses. Based on these analyses, it was found that TaLHC86 was an excellent candidate gene for stress resistance. The full-length ORF of TaLHC86 was 792 bp and was localized on the chloroplasts. The salt tolerance of wheat was reduced when BSMV-VIGS silenced TaLHC86, and the photosynthetic rate and electron transport were also seriously affected. This study made a comprehensive analysis of the TaLHC family and found that TaLHC86 was a good gene for salt tolerance.

Application strategy of finite element analysis in artificial knee arthroplasty.

Artificial knee arthroplasty, as the most effective method for the treatment of end-stage joint diseases such as knee osteoarthritis and rheumatoid arthritis, is widely used in the field of joint surgery. At present, Finite element analysis (FEA) has been widely used in artificial knee replacement biomechanical research. This review presents the current hotspots for the application of FEA in the field of artificial knee replacement by reviewing the existing research literature and, by comparison, summarizes guidance and recommendations for artificial knee replacement surgery. We believe that lower contact stress can produce less wear and complications when components move against each other, in the process of total knee arthroplasty (TKA), mobile-bearing prostheses reduce the contact surface stress of the tibial-femoral joint compared with fixed-bearing prostheses, thus reducing the wear of the polyethylene insert. Compared with mechanical alignment, kinematic alignment reduces the maximum stress and maximum strain of the femoral component and polyethylene insert in TKA, and the lower stress reduces the wear of the joint contact surface and prolongs the life of the prosthesis. In the unicompartmental knee arthroplasty (UKA), the femoral and tibial components of mobile-bearing prostheses have better conformity, which can reduce the wear of the components, while local stress concentration caused by excessive overconformity of fixed-bearing prostheses should be avoided in UKA to prevent accelerated wear of the components, the mobile-bearing prosthesis maintained in the coronal position from 4° varus to 4° valgus and the fixed-bearing prosthesis implanted in the neutral position (0°) are recommended. In revision total knee arthroplasty (RTKA), the stem implant design should maintain the best balance between preserving bone and reducing stress around the prosthesis after implantation. Compared with cemented stems, cementless press-fit femoral stems show higher fretting, for tibial plateau bone defects, porous metal blocks are more effective in stress dispersion. Finally, compared with traditional mechanical research methods, FEA methods can yield relatively accurate simulations, which could compensate for the deficiencies of traditional mechanics in knee joint research. Thus, FEA has great potential for applications in the field of medicine.

A bibliometric analysis of artificial intelligence applications in macular edema: exploring research hotspots and Frontiers.

Background: Artificial intelligence (AI) is used in ophthalmological disease screening and diagnostics, medical image diagnostics, and predicting late-disease progression rates. We reviewed all AI publications associated with macular edema (ME) research Between 2011 and 2022 and performed modeling, quantitative, and qualitative investigations. Methods: On 1st February 2023, we screened the Web of Science Core Collection for AI applications related to ME, from which 297 studies were identified and analyzed (2011-2022). We collected information on: publications, institutions, country/region, keywords, journal name, references, and research hotspots. Literature clustering networks and Frontier knowledge bases were investigated using bibliometrix-BiblioShiny, VOSviewer, and CiteSpace bibliometric platforms. We used the R "bibliometrix" package to synopsize our observations, enumerate keywords, visualize collaboration networks between countries/regions, and generate a topic trends plot. VOSviewer was used to examine cooperation between institutions and identify citation relationships between journals. We used CiteSpace to identify clustering keywords over the timeline and identify keywords with the strongest citation bursts. Results: In total, 47 countries published AI studies related to ME; the United States had the highest H-index, thus the greatest influence. China and the United States cooperated most closely between all countries. Also, 613 institutions generated publications - the Medical University of Vienna had the highest number of studies. This publication record and H-index meant the university was the most influential in the ME field. Reference clusters were also categorized into 10 headings: retinal Optical Coherence Tomography (OCT) fluid detection, convolutional network models, deep learning (DL)-based single-shot predictions, retinal vascular disease, diabetic retinopathy (DR), convolutional neural networks (CNNs), automated macular pathology diagnosis, dry age-related macular degeneration (DARMD), class weight, and advanced DL architecture systems. Frontier keywords were represented by diabetic macular edema (DME) (2021-2022). Conclusion: Our review of the AI-related ME literature was comprehensive, systematic, and objective, and identified future trends and current hotspots. With increased DL outputs, the ME research focus has gradually shifted from manual ME examinations to automatic ME detection and associated symptoms. In this review, we present a comprehensive and dynamic overview of AI in ME and identify future research areas.

Current hotspot and study trend of innate immunity in COVID-19: a bibliometric analysis from 2020 to 2022.

Since the coronavirus disease 2019 (COVID-19) has spread throughout the world, many studies on innate immunity in COVID-19 have been published, and great progress has been achieved, while bibliometric analysis on hotspots and research trends in this field remains lacking. On 17 November 2022, articles and reviews on innate immunity in COVID-19 were recruited from the Web of Science Core Collection (WoSCC) database after papers irrelevant to COVID-19 were further excluded. The number of annual publications and the average citations per paper were analyzed by Microsoft Excel. Bibliometric analysis and visualization of the most prolific contributors and hotspots in the field were performed by VOSviewer and CiteSpace software. There were 1,280 publications that met the search strategy on innate immunity in COVID-19 and were published from 1 January 2020 to 31 October 2022. Nine hundred thirteen articles and reviews were included in the final analysis. The USA had the highest number of publications (Np) at 276 and number of citations without self-citations (Nc) at 7,085, as well as an H-index of 42, which contributed 30.23% of the total publications, followed by China (Np: 135, Nc: 4,798, and H-index: 23) with 14.79% contribution. Regarding Np for authors, Netea, Mihai G. (Np: 7) from the Netherlands was the most productive author, followed by Joosten, Leo A. B. (Np: 6) and Lu, Kuo-Cheng (Np: 6). The Udice French Research Universities had the most publications (Np: 31, Nc: 2,071, H-index: 13), with an average citation number (ACN) at 67. The journal Frontiers in Immunology possessed the most publications (Np: 89, Nc: 1,097, ACN: 12.52). "Evasion" (strength 1.76, 2021-2022), "neutralizing antibody" (strength 1.76, 2021-2022), "messenger RNA" (strength 1.76, 2021-2022), "mitochondrial DNA" (strength 1.51, 2021-2022), "respiratory infection" (strength 1.51, 2021-2022), and "toll-like receptors" (strength 1.51, 2021-2022) were the emerging keywords in this field. The study on innate immunity in COVID-19 is a hot topic. The USA was the most productive and influential country in this field, followed by China. The journal with the most publications was Frontiers in Immunology. "Messenger RNA," "mitochondrial DNA," and "toll-like receptors" are the current hotspots and potential targets in future research.

The research landscape of immunology research in spinal cord injury from 2012 to 2022.

Spinal cord injury (SCI) is defined as traumatic damage to the spinal cord, affecting over three million patients worldwide, and there is still no treatment for the injured spinal cord itself. In recent years, immunology research on SCI has been published in various journals. To systematically analyze the research hotspots and dynamic scientific developments of immunology research in SCI, we conducted a bibliometric and knowledge map analysis to help researchers gain a global perspective in this research field. The bibliometric study we completed included 1788 English-language papers published in 553 journals by 8861 authors from 1901 institutions in 66 countries/regions. Based on the references and keyword analysis, researchers in the past 10 years have mainly focused on the research directions of "monocyte chemoattractor protein 1," "nitric oxide," "pain," and "nitric oxide synthase" related to immunological research in SCI. However, with the development of other new directions such as "extracellular vesicles" (2019-2022), "Regenerative medicine" (2019-2022), "stromal cells" (2018-2022), "motor recovery" (2019-2022), and "glial activation" (2019-2022). Researchers prefer to study the application of regenerative strategies in SCI, the mechanism of extracellular vesicles in the development of SCI, the activation of spinal glial cells in SCI, and the pathways of motor recovery. This bibliometric analysis of immunology research in SCI summarizes the current status of this research field. The relationship between extracellular vesicles, regenerative medicine, stromal cells, motor recovery, and glial activation is currently a major research frontier. Further research and cooperation worldwide need to be enhanced. We believe that our research can help researchers quickly grasp the current hotspot of immunology research in SCI and determine a new direction for future research.

Scientometric analysis of post-stroke depression research based on CiteSpace.

Post-stroke depression (PSD) has served as a severe and common complication leading to a higher level of mortality. Though various studies have been focused on PSD, limited research endeavor has been dedicated to bibliometric analysis in the past. In view of this, the current analysis serves to elucidate the latest status of global research and pinpoint the emerging area of interest for PSD, in order to support further investigation of the field. Publications related to PSD were retrieved from the Web of Science Core Collection database on September 24, 2022, and included in the bibliometric analysis. VOSviewer and CiteSpace software were used to visually analyze publication outputs, scientific cooperation, highly-cited references, and keywords to identify the current status and future trends in PSD research. A total of 533 publications were retrieved. The annual number of publications showed an increasing trend from 1999 to 2022. In terms of country and academic institution, the USA and Duke University have topped the list of PSD research respectively. Meanwhile, Robinson RG and Alexopoulos GS have been the most representative investigators of the field. In the past, researchers focused on the risk factors of PSD, late-life depression, and Alzheimer disease. In recent years, further research effort has been placed on meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality. In conclusion, in the past 20 years, PSD research has been progressing and gaining more attention. The bibliometric analysis successfully unveiled the field's major contributing countries, institutions, and investigators. Furthermore, current hot spots and future trends in the field of PSD were identified, which included meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality.

The global research of microbiota in colorectal cancer screening: a bibliometric and visualization analysis.

We conducted bibliometric and visualization analyses to evaluate the current research status, hotspots, and trends related to the human microbiota markers in colorectal cancer screening. The related studies were acquired from the Web of Science Core Collection (WoSCC) database on 5 January 2023. Analyses of the co-occurrence and cooperation relationships between the cited authors, institutions, countries/regions, cited journals, cited articles, and keywords in the studies were carried out using CiteSpace 5.8.R3 software and the Online Analysis platform of Literature Metrology. Additionally, relevant knowledge graphs were drawn to perform visualization analyses; a keywords cluster analysis and a burst analysis were also conducted. After analyzing 700 relevant articles, this bibliometric analysis found that the annual publications showed an increasing trend from 1992 to 2022. Yu Jun from the Chinese University of Hong Kong had the highest cumulative number of publications, whereas Shanghai Jiao Tong University was the most productive institution. China and the USA have contributed the largest number of studies. The keywords frequency analysis demonstrated that "colorectal cancer," "gut microbiota," "Fusobacterium nucleatum," "risk," and "microbiota" were the most frequent keywords, and the keywords cluster analysis found that the current hotspots were as follows: (a) the precancerous lesions of colorectal cancer (CRC) that need to be screened, such as inflammatory bowel disease (IBD) and advanced adenoma, (b) the gut-derived microbiome for CRC screening, and (c) the early detection of CRC. The burst analysis further showed that the combination of microbiomics with metabolomics might be the future research trend in the field of CRC screening. The findings of the current bibliometric analysis firstly provide an insight into the current research status, hotspots, and future trends in the field of CRC screening based on the microbiome; the research in this field is becoming more in-depth and diversified. Some human microbiota markers, especially "Fusobacterium nucleatum," are promising biomarkers in CRC screening, and a future hotspot might be the combined analysis of microbiomics and metabolomics for CRC risk screening.

Hotspots and prospects of esophageal cancer research in China

Esophageal cancer is a malignant tumor with a high incidence in China. At pesent, advanced esophageal cancer patients are still frequently encountered. The primary treatment for resectable advanced esophageal cancer is surgery-based multimodality therapy, including preoperative neoadjuvant therapy, such as chemotherapy, chemoradiotherapy or chemotherapy plus immunotherapy, followed by radical esophagectomy with thoraco-abdominal two-field or cervico-thoraco-abdominal three-field lymphadenectomy via minimally invasive approach or thoracotomy. In addition, adjuvant chemotherapy, radiotherapy, or chemoradiotherapy, or immunotherapy may also be administered if suggested by postoperative pathological results. Although the treatment outcome of esophageal cancer has improved significantly in China, many clinical issues remain controversial. In this article, we summarize the current hotspots and important issues of esophageal cancer in China, including prevention and early diagnosis, treatment selection for early esophageal cancer, surgical approach selection, lymphadenectomy method, preoperative neoadjuvant therapy, postoperative adjuvant therapy, and nutritional support treatment.

A bibliometric analysis of hotpots and trends for the relationship between skin inflammation and regeneration.

Skin regeneration is a challenging issue worldwide. Increasing research has highlighted the role of immune cells in healing and the underlying regulatory mechanism. The purpose of this study was to identify the hotspots and trends in skin regeneration and inflammation research through bibliometrics and to provide insights into the future development of fundamental research and disease treatment. Publications were collected from the Web of Science Core Collection on March 1, 2022. Articles and reviews published in English from January 1, 1999, to December 31, 2022, were selected, and statistical analyses of countries, institutions, authors, references, and keywords were performed using VOSviewer 1.6.18 and CiteSpace 5.8. A total of 3,894 articles and reviews were selected. The number of publications on skin inflammation and regeneration showed an increasing trend over time. Additionally, authors and institutions in the United States, United Kingdom, Canada, and China appeared to be at the forefront of research in the field of skin inflammation and regeneration. Werner Sabine published some of the most cited papers. Wound Repair and Regeneration was the most productive journal, while Journal of Investigative Dermatology was the most cited journal. Angiogenesis, diamonds, collagen, cytokine, and keratinocytes were the five most commonly used keywords. The number of publications on skin inflammation and regeneration show an increasing trend. Moreover, a series of advanced technologies and treatments for skin regeneration, such as exosomes, hydrogels, and wound dressings, are emerging, which will provide precise information for the treatment of skin wounds. This study can enhance our understanding of current hotspots and future trends in skin inflammation and regeneration research, as well as provide guidelines for fundamental research and clinical treatment.

Deciphering the Influence of Estradiol and Estrogen Receptors on Cognitive Function: A Bibliometric Analysis and Emerging Research Trends.

BACKGROUND The cognitive impact of estradiol (E2), a sex steroid hormone, particularly its unique characteristics mediated through different estrogen receptors (ERs), is garnering research interest to optimize estrogen replacement therapy (ERT) and mitigate adverse effects. However, a systematic bibliometric investigation elucidating the connection between E2/ERs and cognition is lacking. This study examines 3502 Web of Science Core Collection publications using CiteSpace to unveil trends in this research field. MATERIAL AND METHODS The primary goal was to analyze highly co-cited articles characterized by extensive citation, centrality, Sigma index, and burst strength. We identified six research themes and directions from ten distinct, highly credible clusters (Q=0.8266; S=0.978), established by frequently employed keywords. Secondly, we sought to highlight the most contributing countries, institutions, and authors in this domain. RESULTS The study unveiled that the 'critical age window period' hypothesis of ERT, hippocampus-derived E2, the mediating role of GPER, and crosstalk among ERs are the current hotspots in this field. Future research is likely to explore the links between E2/ERs and the hippocampus, various memory types, sex specificity, and receptor specificity. The United States and the University of Wisconsin have the most publications, while Scotland and Stanford University have the highest centrality. The most influential authors are Woolley CS, Frick KM, Tuscher JJ, and Espeland MA. CONCLUSIONS These findings inform prospective research directions and hint at potential E2 targets for cognitive enhancement.

Visual analysis of alpine meadow research trends and hotspots based on VOS viewer

In order to reveal the overall research progress in the field of alpine meadows. In this study, a visual clustering analysis of the literature was conducted using VOS viewer software. The English literature related to alpine meadow was searched in the Web of Science database with publication dates limited to 2020–2021, and 3,607 papers were retrieved from the Web of Science using Excel software. By analyzing the basic profiles of annual publication volume, publication country/region, publication journal, publication institution, publication author, and keywords, the hot spots and development trends of alpine meadow research were derived. The data show that China is the top global country for alpine meadow research in the world, the institution with the most publications in Chinese Acad Sci, and the most publications are by Huakun Zhou from China (81 articles); “enzymes”, “climate change” and “microorganisms” are the current hot spots for alpine meadow research. This study analyzes the publication situation, research hotspots and research trends in the field of alpine meadow research to provide a reference for the academic research on alpine meadows for those related to this field.

On improving the wave-to-wire efficiency of a two-body hinge-barge wave energy converter

The multi-body hinge-barge wave energy converter has the advantages of high capture width ratio and wide bandwidth of wave-excited response, which is the current hotspot of studies on wave energy converters. However, to correctly and throughfully analyse its overall efficiency, hydrodynamics, mechanical dynamics and electrical dynamics, a fully coupled wave-to-wire approach by numerical analysis and physical validation is required, which is not concerned by current studies. The work conducted in this study improves the overall wave-to-wire efficiency by optimising the mooring system, the structure and geometry of the primary capture system, and the external electric load. Results show that an optimised prototype achieves a wave-to-wire efficiency up to 25% in flume experiments, where a significant improvement of 53% is contributed by employing a damping plate to the right barge. Numerical results indicate that a wave-to-wire efficiency of up to 53% is obtained by further optimisation of the damping plate.

Knowledge mapping and visualization analysis of pelvic organ prolapse repair with mesh from 2001 to 2021.

Aims: In recent decades, extensive attention has been paid to the application of mesh to repair pelvic floor defects. However, a large body of related literature has not been system summarized. The purpose of this study is to summarize and visualize the literature on pelvic organ prolapse (POP) repair with mesh using bibliometrics. Methods: Medical literature regarding POP repair with mesh were searched and obtained in the Web of Science™ Core (WoSCC) database from 2001 to 2021. Microsoft Excel 2020, CiteSpace and VOSviewer were used to conduct the bibliometric and knowledge-map analysis. Results: In the past 20 years, a total of 2,550 articles and reviews have been published in 35 journals, and the published and cited results show a growing trend. Cosson M and International Urogynecology Journal were the authors and journals with the highest output, respectively. The United States, France and the United Kingdom are among the top three countries/organizations in relevant publications in worldwide. 584 key words in the literature are divided into 8 clusters, which are mainly related to prolapse type, risk factors, surgical methods, imaging, quality of life and bioengineering. Using clinical research and tissue engineering technology to reduce mesh complications is the current hot spot in this field. Conclusion: Reasonable application of mesh and avoiding mesh complications are still the most concerned topics in POP research. Although clinical research, surgical improvement, biological mesh and bioengineering technology have shown promising results, it is still urgent to carry out clinical transformation application research.

Global research trends in immunotherapy for head and neck neoplasms: A scientometric study

In recent decades, the traditional treatment of head and neck neoplasms has reached a bottleneck with limited improvement in overall survival. Nevertheless, the emerging field of immunotherapy has shown promise. Literature on research into immunotherapy for head and neck neoplasms was retrieved from WoSCC. Citespace was used as a scientometric analysis tool for text mining and visualization of the scientific literature. This analysis included 1915 documents. Recently, the annual number of publications and citations has been growing rapidly. ‘Oncology’ was the most popular research area. The most dominant institution and country were the University of Pittsburgh and the USA. Ferris RL was not only the most prolific but also the most cited author, demonstrating a strong influence and reputation. Of the ten core journals identified in this field, Cancer Research ranked first. ‘Regulatory T cell’, ‘PD-1’ and ‘biomarker’ were regarded as current hotspots, while ‘recurrent’ and ‘nivolumab’ were considered as trending keywords. The most cited reference was Ferris RL (2016). Notably, the front trends and future directions in the field may lie in the clinical practice of combination therapy of immunotherapy plus other therapies, the mechanism of impaired immune surveillance, and the improvement in resistance to immunotherapeutic agents. It is firmly believed that the present scientometric analysis has provided both a macroscopic and microscopic overview of research into immunotherapy for head and neck neoplasms, which will assist researchers and oncologists to better understand this discipline and thus promote further development and policies in this field.

The Research Hotspots and Frontiers of Black Soldier Fly during 1994-2021: A Bibliometric Analysis

Black soldier fly (BSF) studies have attracted increasing scientific attention because of their role in determining sustainability. However, there exists rare quantitative analyses of the scientific literature on research of BSF, especially for visual analyzing from the systematical and bibliometric perspective has not been reported. Therefore, the investigation on the temporal development, scientific collaboration, research hotspots and frontiers in terms of BSF over the last 28 years (1994-2021) is executed for the first time. Combined with the Web of Science Core Collection database, this study collected 914 literatures from 1994 to 2021 that were conducted co-occurrence, co-citation and cluster analysis via CiteSpace software. The main findings are as follows: Firstly, research on BSF has advanced rapidly during the recent five years and Italy, USA and China were the three core force leaders countries with the high publications, centrality and cooperation degrees. In addition, Huazhong Agr Univ showed the core force ranked the third in the world of BSF research, which had high publications and strong cooperation with international institutions. Furthermore, in terms of keyword co-occurrence, time-zone and burst analysis delineated biological characteristics, application and management of BSF larvae were the main research themes. And early studies concentrated on BSF development and breeding, and current hotspots include exploiting BSF larvae as animal feed and recycling organic wastes. Additionally, based on co-cited references cluster analysis, it was concluded that the bioconversion and animal feed using the BSF larvae will still be the focus research fields in the near future, and the technical improvement on the efficiency of bioconversion, integrating the healthy, safety and eco-friendly that future studies should focus on, supporting policy making that indicate the prospective research field on BSF and it’s applications.

GLOBAL TRENDS AND RESEARCH HOTSPOTS OF AEROBIC GRANULAR SLUDGE FOR WASTEWATER TREATMENT USING SCOPUS DATABASE: A BIBLIOMETRIC ANALYSIS

The aerobic granular sludge (AGS) system is a promising technology that is suitable for the treatment of various types of wastewaters. This system has received great attention from many researchers due to its wide range of applications and potential as a cost effective system. However, only a few reports are available in analyzing the progress of AGS research in wastewater treatment over the last 20 years. Therefore, in the present work, a bibliometric analysis was carried out to trace the global research trends and current hotspots of AGS in wastewater treatment from 1997 to 2020, based on the Scopus database. The bibliometric data was visualized using the VOSviewer software. A total of 1,347 articles were published in 160 journals across 19 subject categories, involving 50 countries and 129 academic institutions. Results showed that Bioresource Technology (175, 12%), Water Research (94, 6.96%), and Huanjin Kexue Environmental Science (78, 5.77%) dominated in the top 3 journals. Environmental Science (1036, 38%), China (716, 53%), and Harbin Institute of Technology (98, 7.28%) were the most productive subject category, country, and academic institution, respectively. The AGS research hot topics and future research directions were discovered through the analysis of the most frequently used keywords obtained in bibliometric maps.

Research on brain functions related to visual information processing and body coordination function of pilots based on the low-frequency amplitude method.

Research on the differences in physiological and psychological mechanisms of practitioners in different occupations is a current hot spot, such as pilots. This study explores the frequency-dependent changes of pilots' low-frequency amplitudes in the classical frequency band and sub-frequency band between pilots and general occupations. The goal of the current work is to provide objective brain images for the selection and evaluation of outstanding pilots. Twenty-six pilots and 23 age-, sex-, and education-matched healthy controls were included in this study. Then the mean low-frequency amplitude (mALFF) of the classical frequency band and sub-frequency band was calculated. The two-sample t-test was performed on SPM12 to analyze the differences between the flight group and control group in the classic frequency band. To explore the main effects and the inter-band effects of the mean low-frequency amplitude (mALFF), the mixed design analysis of variance was applied in the sub-frequency bands. Compared with the control group, left cuneiform lobe and the right cerebellum six area of pilots show significant difference in the classic frequency band. And the main effect results in the sub-frequency bands show that the area with higher mALFF in the flight group is located on the left middle occipital gyrus, the left cuneiform lobe, the right superior occipital gyrus, the right superior gyrus, and the left lateral central lobule. However, the area where the value of mALFF decreased is mainly located on the left rectangular cleft with surrounding cortex and the right dorsolateral superior frontal gyrus. Besides, compared with the slow-4 frequency band, the mALFF of the left middle orbital middle frontal gyrus of the slow-5 frequency band was increased, while the mALFF value of the left putamen, left fusiform gyrus, and right thalamus was decreased. The sensitivity of the slow-5 frequency band and the slow-4 frequency band to the pilots' different brain areas was also different. Also, the different brain areas in the classic frequency band and the sub-frequency band were significantly correlated with pilots' flight hours. Our findings showed that the left cuneiform brain area and the right cerebellum of pilots changed significantly during resting state. And there was a positive correlation between the mALFF value of those brain area and flight hours. The comparative analysis of sub-frequency bands found that the slow-5 band could elucidate a wider range of different brain regions, providing new ideas for exploring the brain mechanisms of pilots.

International publication trends in the application of artificial intelligence in ophthalmology research: an updated bibliometric analysis.

The literature on artificial intelligence (AI)-related topics has been expanding rapidly over the last two decades, showing that AI is a crucial force in advancing ophthalmology. This analysis aims to provide a dynamic and longitudinal bibliometric analysis of AI-related ophthalmic papers. The Web of Science was searched to retrieve papers regarding the application of AI in ophthalmology published in the English language up to May 2022. The variables were analyzed using Microsoft Excel 2019 and GraphPad Prism 9. Data visualization was performed using VOSviewer and CiteSpace. In this study, a total of 1,686 publications were analyzed. Recently, AI-related ophthalmology research has increased exponentially. China was the most productive country in this research field, with 483 articles, but the United States of America (446 publications) contributed most to the sum of citations and the H-index. The League of European Research Universities, Ting DSW, and Daniel SW were the most prolific institution and researchers. This field is primarily concerned with diabetic retinopathy (DR), glaucoma, optical coherence tomography, and the classification and diagnosis of fundus pictures. Current hotspots in AI research include deep learning, diagnosing and predicting systemic disorders by fundus images, incidence and progression of ocular diseases, and outcome prediction. This analysis thoroughly reviews AI-related research in ophthalmology to help academics better comprehend the growth and possible practice consequences of AI. The association between eye and systemic biomarkers, telemedicine, real-world studies, and the development and application of new AI algorithms, such as visual converters, will continue to be research hotspots over the next few years.