ABSTRACT
Purpose: Interventional radiology (IR) residency grew from 7 programs and 15 positions in 2016 to 87 programs and 164 positions in 2021. Analysis of prior years’ match data can reveal the most well-connected schools and programs, communities, influencers that bridge communities, and the network’s evolution over time. Applicants to IR and residency program stakeholders will gain valuable insights from analysis of the IR training network. Materials and Methods: 618 of 726 (85%) IR matches between 2016-2021 were compiled from publicly available sources: NRMP data, department websites, and medical school match lists. Network plots were generated using Gephi 0.9.2. Medical schools and residency programs (nodes) and matches (edges) were assessed for number of connections, communities, and Eigenvector centrality (relative influence based on how well-connected a node is and how well-connected are its connections). Results: Preliminary analysis of the manually sourced public data reveals that medical schools graduating the greatest number of students matched to IR are Rosalind Franklin (15), Georgetown (14), U South Florida (14), and Northwestern (13), while residency programs matching the greatest number of students into IR are Emory (20), Rush (20), Vanderbilt (18), and U Pennsylvania (18). Overall, the most well-connected nodes in the network of IR matches are Rush (29), U Pennsylvania (28), Georgetown (26), Vanderbilt (23), and Yale (23). The most influential node in the 5-year network is U Pennsylvania with an Eigenvector centrality of 1.0, followed by Duke (0.70), Stanford (0.49), Emory (0.45), and Mount Sinai (0.43). A force-directed network algorithm illustrates that even as the number of matched students invariably grows, the number of communities of schools and programs dynamically expands and contracts: 6 in 2016, 16 in 2017, 11 in 2018, 9 in 2019, 8 in 2020, and 8 in 2021. Further analyses are ongoing of year-over-year community stability and geographic trends, as well as impact of COVID and virtual interviews on the network. Interactive images are available. Conclusion: IR is among the most competitive specialties with challenges for applicants and programs alike—an issue exacerbated by the relative ease of virtual interviews and resultant increase in applications. Students may use network analysis to focus on programs within their own or other desirable communities, or to identify an influential program for an away rotation to bridge communities. Programs may use network analysis to guide outreach and inform perceptions of a program’s relative standing within and amongst communities or the broader IR training network.
ABSTRACT
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has spread worldwide. Therefore, this study aimed to create a phylogenetic tree construction of SARS-CoV-2 and other species of coronavims by using the Maximum Likelihood Estimate approach after Perform Multiple Sequence Alignment. This study utilized 34 isolates of SARS-CoV-2 as well as another (Alpha & Beta) coronavirus species retrieved from the GenBank database (National Center for Biotechnology Information) for this investigation. The current findings showed that A highly accurate and trustworthy phylogenetic tree was obtained by using the Maximum Likelihood Estimate approach to show the evolutionary relationships linking between SARS-CoV-2s and other coronavirus species and determined the SARS-CoV-2 variations.
ABSTRACT
Because the pandemic has kept the world busy in the last two years, a revival of Derrida's writings on biology is an urgent prerequisite today. The tsunamic invasion of the Coronavirus or Covid-19 pandemic took more than two million lives and thousands are still being tested positive as I write. The speed of the virus and the seeming human inability to stop its spread necessitates a study on the relationship between Covid-19 and Derrida's deconstructive philosophy. Hence the portmanteau Coviderrida - inspired by Helene Cixous' 'derridevilishly' (Cixous 2004, 16) - attempts to demonstrate how the pathogen operates as an event or (im)possibility to which Derrida's neologisms 'differance', 'supplement', 'trace', 'archi-writing', and 'text' testify. The main concern of this paper is to restore the deconstructive logic that Derrida advocates to restructure the relationship between life and death in his 1975-6 seminar La vie la mort, and reshape our notion of human survival in his 2001 interview with Giovanna Borradori, 'Autoimmunity'. These two texts redefine the political and religious questions, which are 'left hanging, uncertain, still in movement and therefore, yet "to come"'.
ABSTRACT
The research tagged with (the effect of tests of the higher levels of the cognitive domain in preventing mass electronic cheating in distance education) aims to highlight the impact of tests that are formulated according to the higher levels of the cognitive field in undermining mass electronic cheating by a large percentage in light of the COVID-19 pandemic, as the researcher adopted The experimental method in its experiment on three divisions of the second stage for students of the Arabic language department in the College of Basic Education / University of Diyala. He was alone in formulating the monthly tests for the two experimental groups that he is studying, and the final test for the semester after being presented to the teaching of the control group. 168) by (56) for each of the two experimental groups and the control group. It adopted the appropriate statistical means, and after analyzing the results statistically, the researcher concluded that the first experimental group outperformed the second experimental group in all the monthly tests and the final test, and the first and second experimental groups outperformed the control group who performed the tests in the usual format. © 2022, Pegem Akademi Yayincilik Egitim Danismanlik Hizmetleri Ticaret A.S.. All rights reserved.