Dual Locality-Based Flash Translation Layer for NAND Flash-Based Consumer Electronics

Luo, Yuhan; Lin, Mingwei; Zhang, Xu

doi:10.1109/tce.2022.3189761

Cited by 28 publications

(7 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Aiming to conclude the overall process and research upsurges in the knowledge domain of the bioresorbable scaffold, the distribution of annual literature comes as the first indicator. [29] 7063 published records in 2000 to 2022 were shown as a column chart (Fig. 2) showing an approximately linear increasing trend year by year.…”

Section: Resultsmentioning

confidence: 99%

Challenges and chances coexist: A visualized analysis and bibliometric study of research on bioresorbable vascular scaffolds from 2000 to 2022

et al. 2023

View full text Add to dashboard Cite

Background: Bioresorbable scaffolds (BVS) provide a transient supporting force for blocked vessels and allow them to return to previous physiological characteristics. After verification with twists and turns, it has been acknowledged as an emerging revolution in percutaneous coronary intervention that expresses the current concept of intervention without placement. Through this bibliometric study, we organized the knowledge structure of bioresorbable scaffolds and attempted to predict future research hotspots in this field.Methods: seven thousand sixty-three articles were retrieved from the web of science core collection database from 2000 to 2022. Then, we utilize CiteSpace 6.1.R2, Biblioshiny and VOS viewer 1.6.18 to analyze the data visually.Results: First, according to the spatial analysis, the number of annual publications has shown an approximately increasing trend over the past 2 decades. The USA, the People's Republic of China, and GERMANY published the most articles on bioresorbable scaffolds. Second, SERRUYS P ranked first for his most prolific work and highest cited frequency in this domain. Third, the hotspots in this field can be inferred from the keyword distribution; they were the fabrication technique based on tissue engineering; the factors to be optimized for bioresorbable scaffolds, such as mechanical property, degradation, and implantation; and the common adverse effects of bioresorbable scaffolds, such as thrombosis. Most importantly, in terms of burst detection, we could speculate that cutting-edge technology for manufacturing scaffolds represented by 3D printing constitutes the future hotspots in bioresorbable scaffold development. Conclusion:In the first visualized bibliometric analysis of BVS, we attempt to provide a panoramic view. By enrolling extensive literature, we review the growing trend of BVSs. Since its first introduction, it has been through periods of early prosperity, questioned safety subsequently and the resultantly advanced techniques in recent years. In future, the research should focus on utilizing novel techniques to consummate the manufacturing quality and assure the safety of BVSs.

show abstract

Section: Resultsmentioning

confidence: 99%

Challenges and chances coexist: A visualized analysis and bibliometric study of research on bioresorbable vascular scaffolds from 2000 to 2022

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Overall, the use of bibliometric data in science research can provide insight into the state of knowledge and emerging trends within a particular field or topic over time ( Guler et al, 2016 ). Furthermore, bibliometric mapping analysis was applied to a wide range of topics, such as economics, social science, medical science, environmental studies, computer science, and artificial intelligence ( Lin et al, 2021b ; Chen et al, 2022b ; He et al, 2022 ; Luo et al, 2022 ; Zhang L. et al, 2022a ; Zhong and Lin, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Research trends in the field of the gut-brain interaction: Functional dyspepsia in the spotlight – An integrated bibliometric and science mapping approach

Zhang

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

ObjectivesThis study aims to perform a bibliometric analysis of functional dyspepsia (FD), which includes visualizing bibliographic information, in order to identify prevailing study themes, topics of interest, contributing journals, countries, institutions, and authors as well as co-citation patterns.MethodsThe Web of Science™ Core Collection Database was used to retrieve all peer-reviewed scientific publications related to FD research. The validated search terms were entered into the “title” and “author keywords” fields, and the results were sorted by publication year from 2006 to 2022. There were no restrictions on language. On 12 February 2023, a manual export of the complete metadata for each original publication and review article was performed. CiteSpace was used to reveal co-authorship, publication, and co-citation patterns to find prominent authors, organizations, countries, and journals in FD research as well as to identify author keywords with strong citation bursts, which could indicate an emerging research area. VOSviewer was used to build the co-occurrence indicator (co-word) to identify the main author keywords on which previous studies focused and to induce clustered scientific landscape for two consecutive periods to identify intriguing areas for future research.ResultsA search of the database retrieved 2,957 documents. There was a wave-like pattern in the number of publications until 2017, after which there was a spike in publication volume. The USA, China, and Japan provided the majority of contributions. In terms of institution, Mayo Clin, Univ Newcastle, and Katholieke Univ Leuven were found to be the prolific institutions. Additionally, the results indicate that eastern Asian researchers contributed significantly to the global knowledge of literature that led other countries; however, Canada, the USA, Australia, England, and Germany were found to have the highest degree of betweenness centrality. Nicholas J. Talley, Jan Tack, Gerald Holtmann, Michael Camilleri, Ken Haruma, and Paul Moayyedi occupied the top positions based on productivity and centrality indicators. Six thematic clusters emerged (Helicobacter pylori infection; pathophysiological mechanisms of FD; extraintestinal co-morbidities and overlap syndromes associated with FD; herbal medicine in FD; diabetic gastroparesis; and dietary factors in FD). “Acupuncture,” “duodenal eosinophilia,” “gut microbiota,” and others were among the author keywords with rising prevalence.ConclusionIn FD research, eastern Asian countries have established themselves as major contributors with the highest publishing productivity; however, research has primarily been driven by North America, Europe, and Australia, where cooperation is generally more active and highly influential scientific results are produced. Our analysis suggests that increased investments, training of human resources, improved infrastructures, and expanded collaborations are essential to improving the quality of FD research in Asia. The emerging author keyword analysis suggests that eosinophil-mast cell axis, gut microbiota, mental disorders, and acupuncture are the key areas that attract researchers’ attention as future research boulevards. There is a highly skewed distribution of research output across Asia, with most focus on complementary and alternative medicine (CAM) coming from Chinese, Japanese, and South Korean centers. However, CAM remains an underexplored area of research in the context of FD, and it deserves greater research efforts in order to obtain quality scientific evidence. Furthermore, we propose that the research framework of CAM should not be limited to dysmotility; rather, it could be interpreted within a more holistic context that includes the brain-gut-microbiota axis, as well as novel concepts such as duodenitis, increased mucosal permeability, and infiltration and activation of eosinophils and mast cells, among others. Overall, we provided bibliometrics-based overviews of relevant literature to researchers from different backgrounds and healthcare professionals to provide an in-depth overview of major trends in FD research.

show abstract

“…These networks have complex structures and diverse node behaviors, so the whole network can be divided into different community structures (Ma and Dong, 2017;Zhang et al, 2023). Community detection is to help one understand the modules, functions and their evolution of the whole network by using the information in the The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/1756-378X.htm network topology to parse out its modular community structure from the complex network (Luo et al, 2022;Zhu et al, 2022). Unlike static community networks, the nodes and edges of dynamic community networks usually change over time, such as new nodes and relationships are added to the network, old node relationships disappear, communities combine and split, and new communities are created and old ones disappear (Zhang and Lin, 2022;Chen et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

An adaptive dynamic community detection algorithm based on multi-objective evolutionary clustering

Wang,

Li,

Wei

2023

IJICC

View full text Add to dashboard Cite

PurposeCommunity detection of dynamic networks provides more effective information than static network community detection in the real world. The mainstream method for community detection in dynamic networks is evolutionary clustering, which uses temporal smoothness of community structures to connect snapshots of networks in adjacent time intervals. However, the error accumulation issues limit the effectiveness of evolutionary clustering. While the multi-objective evolutionary approach can solve the issue of fixed settings of the two objective function weight parameters in the evolutionary clustering framework, the traditional multi-objective evolutionary approach lacks self-adaptability.Design/methodology/approachThis paper proposes a community detection algorithm that integrates evolutionary clustering and decomposition-based multi-objective optimization methods. In this approach, a benchmark correction procedure is added to the evolutionary clustering framework to prevent the division results from drifting.FindingsExperimental results demonstrate the superior accuracy of this method compared to similar algorithms in both real and synthetic dynamic datasets.Originality/valueTo enhance the clustering results, adaptive variances and crossover probabilities are designed based on the relative change amounts of the subproblems decomposed by MOEA/D (A Multiobjective Optimization Evolutionary Algorithm based on Decomposition) to dynamically adjust the focus of different evolutionary stages.

show abstract

Dual Locality-Based Flash Translation Layer for NAND Flash-Based Consumer Electronics

Cited by 28 publications

References 35 publications

Challenges and chances coexist: A visualized analysis and bibliometric study of research on bioresorbable vascular scaffolds from 2000 to 2022

Challenges and chances coexist: A visualized analysis and bibliometric study of research on bioresorbable vascular scaffolds from 2000 to 2022

Research trends in the field of the gut-brain interaction: Functional dyspepsia in the spotlight – An integrated bibliometric and science mapping approach

An adaptive dynamic community detection algorithm based on multi-objective evolutionary clustering

Contact Info

Product

Resources

About