Search

Sarcopenia is age-related, pathophysiological muscle atrophy. Research regarding nutrition treatment of sarcopenia has developed rapidly, particularly as populations age. We evaluated the development of trends in this field using a bibliometric analysis. Articles up to July 2022 were searched in the Scopus database. Bibliographic information from the selected publications, such as countries, citations, world maps, institutions, authors, journals, and keywords, were converted and analyzed automatically using the “bibliometrix” package in R environment (version 4.2.0). We identified 368 Scopus articles from 1998–2021. According to citation analyses, 27 documents received more than 100 citations. Bibliometric analysis based on the literature included in this study revealed that South Korea (61 publications), United States (50), Japan (35), China (30), and Italy (20) contributed the most publications. Tehran University of Medical Science (19 records, 2.55% of articles) contributed the most publications. The most productive author was Landi, with eight articles (2.17% of articles). The publications were located in 196 journals, with Nutrients having the most publications (30, 8.15% of articles). The curves representing keywords “sarcopenia” and “aged” were the most apparent. Our analysis suggested that global nutrition and sarcopenia-related research increased rapidly from 2001 to 2021, demonstrating that this was a promising area of future research that could benefit from continued advances. Future research may focus on the effects of age and sex as well as intervention effectiveness, particularly exercise and nutrition supplementation.

With the development of cloud computing, more and more enterprises begin to develop their own cloud storage architecture by Hadoop. HDFS, at the bottom of Hadoop framework, stores files on all the nodes in cluster. This article first analyzed the HDFS architecture and put forward a problem single point of failure: There is only one NameNode in HDFS, which has limited the number of metadata storage and is prone to a failure of single node. Once the NameNode fault occurs, the system will break down. It affects the reliability of the cluster directly. Then it introduced Paxos algorithm and improved the structure of HDFS according to its principle. It solved the problem by increasing the number of NameNode and ensuring the synchronization of them by Paxos algorithm. At last, it verified the feasibility of the scheme by an experiment. A failure of metadata server will not interrupt the system so the reliability is improved.