15 research outputs found
Numerical Evaluation of the Extended Endplate Moment Connection Subjected to Cyclic Loading
In this paper, the seismic behaviour of extended endplate moment connection is analysed using finite element method (FEM). First, an existing test setup is modelled and analysed using ANSYS computer program. The model is validated by comparing the results from the finite element with the experimental ones. Afterwards, by changing the dimensions of members of the connection, their effect on the overall seismic performance of connection is investigated. The results show that by enlarging the column depth and stiffening the connection, the seismic performance is improved and the thickness of endplate should be chosen in a way that its moment capacity is larger than the plastic moment of beam
Visualizing Hot and Emerging Topics in Biochemistry and Molecular Biology in Iran
The purpose of this descriptive research was to identify hot and emerging topics in Biochemistry and Molecular Biology in Iran and to map the intellectual structure of this field in a ten-year period. The intellectual structure of the field of Biochemistry and Molecular Biology in Iran was studied by analyzing co-occurrences of keywords and cited references. The research population of this study was all research and review papers of Iranian researchers published in journals indexed by the Web of Science database from 2008 to 2017. The collected data from Web of Science were analyzed by the CiteSpace Software in order to map the intellectual structure of this field. The results showed that the keywords such as gene expression, protein, in vitro, oxidative stress, binding, apoptosis and cell were among the hot research topics in Iran and terms such as chitosan, nanocomposite, antibacterial activity, dynamics molecules, stem cells, mesenchymal stem cells and immobilization have been indicative of the emerging topics in Iranian research in the studied time period. Increasing publications in the field of Biochemistry and Molecular Biology in Iran at the international level and its inclusion in the country's research priorities led us to conduct a scientometric study of this research area. Therefore, due to the hot and emerging topics identified in this research, such studies can be used as a road map for the country's large-scale scientific planning and policy
Current and Future Perspectives on the COVID-19 Vaccine: A Scientometric Review
This study attempted to draw the present and future perspective of the COVID-19 vaccine by identifying the most important scientists and their scientific contexts, trends of research topics, and relationships between different entities. Methods: To achieve this purpose, bibliometric and scientometric techniques were used to analyze 6288 scientific documents contributing to COVID-19 vaccines from the beginning of 2019 to 13 December 2021, indexed in the Web of Science. Results: The United States (US) had the greatest impact by publishing 2104 documents and receiving 32,958 citations. The US and the UK countries had the highest level of scientific collaborations with 192 collaborative studies. The University of Oxford and the Harvard Medical School were the most active institutions, and the University of Oxford and Emory University were the most influential institutions. Pollard AJ and Lambe T had the most publications and the highest citations and h-index. T Lambe, SC Gilbert, M Voysey, and AJ Pollard from the University of Oxford had the highest number of co-authorships. More than 19% of the research was conducted in the field of immunology. The Vaccines journal had the most publications, with 425 articles. The US Department of Health & Human Services granted the most research. In 2019, studies were focused on the topics of COVID-19 virus identification and ways to deal with it; in 2020, studies focused on the topics of COVID-19 and vaccines, whereas in 2021, they focused on the topics of COVID-19 vaccines and their effects, vaccines hesitancy, the role of healthcare workers in COVID-19, as well as discussions about these vaccines in the social media. Conclusions: Recognition of the most important actors (countries, institutes, researchers, and channels for the release of COVID-19 vaccine studies), research trends, and fields of study on the COVID-19 vaccine can be useful for researchers, countries, and policy makers in the field of science and health to make decisions and better understand these vaccines
Analyzing the legacy and scientific impact of Saeed-Ul Hassan: A Pakistani scientometrician, data scientist and winner of the Eugene Garfield Award 2017 and 2022
This study highlights the scientific legacy and impact of Dr Saeed-Ul Hassan’s research on the world of science. He was a remarkable researcher in the fields of scientometrics, altmetrics, artificial intelligence, and data science, as evidenced by the Eugene Garfield Awards he received for innovation in citation analysis in 2017 and 2022. Based on datasets retrieved from the Scopus database for the years 2009–2022, he collaborated with 157 researchers from 22 different nations and his research findings are published in reputable journals and conferences. In the last five years of his life, his scholarly publications and scientific impact significantly increased. His significant attention to Open Access publications and high levels of worldwide collaboration have greatly contributed to his impact in the world of science. The results of altmetric studies indicate that Dr SU Hassan’s scientific publications are widely accepted by researchers on Twitter and Mendeley. The majority of individuals that tweeted and read his publications were from European and American nations. His research had the greatest impact on experts in the fields of scientometrics, computer science and social sciences, according to the classification of the readers of his research articles
Analyzing the legacy and scientific impact of Saeed-Ul Hassan: a Pakistani scientometrician, data scientist and winner of the Eugene Garfield Award 2017 and 2022
This study highlights the scientific legacy and impact of Dr Saeed-Ul Hassan’s research on the world of science. He was a remarkable researcher in the fields of scientometrics, altmetrics, artificial intelligence, and data science, as evidenced by the Eugene Garfield Awards he received for innovation in citation analysis in 2017 and 2022. Based on datasets retrieved from the Scopus database for the years 2009–2022, he collaborated with 157 researchers from 22 different nations and his research findings are published in reputable journals and conferences. In the last five years of his life, his scholarly publications and scientific impact significantly increased. His significant attention to Open Access publications and high levels of worldwide collaboration have greatly contributed to his impact in the world of science. The results of altmetric studies indicate that Dr SU Hassan’s scientific publications are widely accepted by researchers on Twitter and Mendeley. The majority of individuals that tweeted and read his publications were from European and American nations. His research had the greatest impact on experts in the fields of scientometrics, computer science and social sciences, according to the classification of the readers of his research articles
From mega-events hosting to scientific leadership: A seven-decade scientometric analysis of pioneer countries
Mega-events have always been an attractive topic for sports management academics. We used scientometric software packages to look at the studies on this topic that have been added to the Web of Science database in the last 68 years. Not only did we give an overview of the background information of the researchers, the status of their collaborations, and the countries and institutions they represented, but we also pointed out active and influential publication sources on this topic. We focused on the Olympic Games and other sports mega-events like the FIFA World Cups, as well as the environmental, tourism, economic, social, political, and cultural aspects of these events. We also made a list of the countries, organizations, and scholars who have made important contributions to the field. Researchers in sports management and sporting event hosts can both use this study as a guide for their own work
New implicit method for analysis of problems in nonlinear structural dynamics
In this paper a new method is proposed for direct time integration of nonlinear structural dynamics problems.
In the proposed method the order of time integration scheme is higher than the conventional Newmark’s family
of methods. This method assumes second order variation of the acceleration at each time step. Two variable
parameters are used to increase the stability and accuracy of the method. The result obtained from this new
higher order method is compared with two implicit methods; namely the Wilson- and the Newmark’s average
acceleration methods
Numerical Evaluation of the Extended Endplate Moment Connection Subjected to Cyclic Loading
In this paper, the seismic behaviour of extended endplate moment connection is analysed using finite element method (FEM). First, an existing test setup is modelled and analysed using ANSYS computer program. The model is validated by comparing the results from the finite element with the experimental ones. Afterwards, by changing the dimensions of members of the connection, their effect on the overall seismic performance of connection is investigated. The results show that by enlarging the column depth and stiffening the connection, the seismic performance is improved and the thickness of endplate should be chosen in a way that its moment capacity is larger than the plastic moment of beam