scholarly journals Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses

Author(s):  
Nathaly Rivera-Sotelo ◽  
Raul-Gabriel Vargas-Del-Angel ◽  
Sergey K. Ternovoy ◽  
Ernesto Roldan-Valadez
2021 ◽  
Vol 3 (1) ◽  
pp. 26-40
Author(s):  
Nelson Pacheco Rocha ◽  
Gonçalo Santinha ◽  
Mário Rodrigues ◽  
Carlos Rodrigues ◽  
Alexandra Queirós ◽  
...  

Objectives - This study aimed to identify: (i) the current research trends related to mobility assistants to support multi-modal routes in smart cities; (ii) the types of smart cities’ data being used; (iii) the methods applied to assess the proposed solutions; and iv) the major barriers for their dissemination. Methods - An electronic search was conducted in several databases, combining relevant keywords. Then titles and abstracts were screened against inclusion and exclusion criteria. Finally, the full texts of the eligible articles were retrieved and screened for inclusion. Results - A total of 19 articles were included. These articles either propose algorithms to optimize routes planning or presenting specific applications that make use of a broad range of smart cities’ data. Conclusion - The number of included articles is very reduced when compared with the total number of articles related to smart cities, which means that the mobility assistants to support multi-modal routes are still not significant within the smart cities’ research. Moreover, most of the included articles report applications in an early stage of development, which is a major barrier for the respective dissemination.


Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1894 ◽  
Author(s):  
Esther Salmeron-Manzano ◽  
Francisco Manzano-Agugliaro

The bicycle has gone from being an old-fashioned recreational product to a less polluting means of transport and a compact, ultra-light personal mobility tool. This is how electrical bicycles will be used as the pillar that could support individual public transport in large cities worldwide. The objective of this manuscript is to detect how worldwide research on the electric bicycle is being developed, and, especially, around which scientific domains is it clustered, to finally identify the main trends in the field. This study has been carried out based on the Scopus database, where all the publications related to the topic of the electric bicycle have been analyzed up to the year 2017. ¨Therefore, research on the global research trends of this topic was conducted. Its evolution over time shows that since 2008 the growth of publications is much higher than in the previous period. The main countries are China and the USA, and it can be inferred that there are two major trend countries with high environmental awareness, which also have a large population and that the electric bicycle is a suitable and sustainable form of transport. Among the main scientific fields, engineering leads in research. The keyword analysis shows that the central theme is electric, then battery and motor stand out. A community detection was applied to detect the six main clusters of this research, largely dedicated to the following topics: Transportation–Environment, Electrical Engineering, Safety, Batteries, Sporting Goods–Urban Planning, and Mechanical Engineering. This manuscript shows that global research trends about the electric bicycle are increasing, and that it should be considered a means of sustainable urban transport and will therefore contribute to energy saving and sustainable energy.


2018 ◽  
Vol 21 (7) ◽  
pp. 1372-1384 ◽  
Author(s):  
Dan Xing ◽  
Yu Zhao ◽  
Shengjie Dong ◽  
Jianhao Lin

2022 ◽  
pp. 531-546
Author(s):  
Israel R. Orimoloye ◽  
Olusola O. Ololade ◽  
Olapeju Y. Ekundayo ◽  
Emmanuel T. Busayo ◽  
Gbenga A. Afuye ◽  
...  

2015 ◽  
Vol 106 (2) ◽  
pp. 751-768 ◽  
Author(s):  
Fenglian Liu ◽  
Aiwen Lin ◽  
Huanhuan Wang ◽  
Yuling Peng ◽  
Song Hong

2019 ◽  
Vol 11 (15) ◽  
pp. 4120 ◽  
Author(s):  
Heo ◽  
Kang ◽  
Kim

Infectious diseases have been continuously and increasingly threatening human health and welfare due to a variety of factors such as globalisation, environmental, demographic changes, and emerging pathogens. In order to establish an interdisciplinary approach for coordinating R&D via funding, it is imperative to discover research trends in the field. In this paper, we apply machine learning methodologies and network analyses to understand how the European Union (EU) and the United States (US) have invested their funding in infectious diseases research utilising an interdisciplinary approach. The purpose of this paper is to use public R&D project data as data and to grasp the research trends of epidemic diseases in the US and EU through scientometric analysis.


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