Réunion de chercheurs en éducation médicale à une conférence sur Twitter autour du sujet du professionnalisme et la construction de l’identité professionnelle

Implication Statement The Education Innovation Institute (EII) of Medical College of Georgia, Augusta University, hosted a conference on Twitter about Professional Identity Formation (PIF), #MCGConf2021PIF, on February 25, 2021. The conference featured five presentations by 15 authors from Canada and the U.S. A Twitter conference is a versatile, affordable, and accessible digital option for medical education groups interested in diversifying conference offerings and reaching a broader audience. It was low-cost, organized in six months, and garnered over 9,000 Twitter impressions. Small networks and interest groups can organize Twitter conferences for their constituencies and larger conference organizations can host online mini-conferences to supplement in-person events.Énoncé des implications de la recherche Le 25 février 2021, l’Educational Innovation Institute (EII) du Medical College of Georgia de l’Université Augusta a tenu une conférence sur la construction de l’identité professionnelle sur le réseau social Twitter (#MCGConf2021PIF). Cinq communications y ont été présentées par 15 chercheurs du Canada et des États-Unis. Elle a été organisée en six mois, à coût modeste, et elle a recueilli plus de 9 000 impressions sur Twitter. La conférence Twitter s’avère être une option numérique polyvalente, abordable et accessible pour les membres du milieu de l’éducation médicale désireux de diversifier leur offre de symposiums et de toucher un public plus large. Twitter offre aux petits réseaux et groupes d’intérêt la possibilité de convier leurs membres à des conférences restreintes et aux organisateurs de conférences plus importantes la possibilité de tenir des mini-conférences en ligne pour compléter leurs activités en personne

Motivated Innumeracy: Estimating the Size of the Gun Owner Population and Its Consequences for Opposition to Gun Restrictions

This is the peer reviewed version of the following article: Joslyn, M. R. and Haider‐Markel, D. P. (2018), Motivated Innumeracy: Estimating the Size of the Gun Owner Population and Its Consequences for Opposition to Gun Restrictions. Politics and Policy, 46: 827-850. doi:10.1111/polp.12276, which has been published in final form at http://doi.org/10.1111/polp.12276. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Past research suggests that people substantially overestimate the size of minority populations. Labeled “innumeracy,” inflated estimates of minority populations can have a negative impact on intergroup relations and influence policy attitudes toward minority groups. Our research examines people’s estimates of the gun owner population in the United States. We discover that people vastly overestimate gun ownership and similarly misjudge its future growth. Estimations of size are influenced by several determinants including gun ownership and affective orientations toward gun owners. Gun owners, compared to nongun owners, reported higher estimations of the gun owner population. In addition, positive feelings toward gun owners were associated with increased estimates of gun ownership. Affective orientations toward minority populations are in fact a key predictor neglected by prior innumeracy studies. Finally, estimations of the gun owner population, and judgments about its future growth, were both significant determinants of gun policy preferences

Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis

<p>Abstract</p> <p>Background</p> <p>Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information can be represented as a relationship network, and clustering the network can suggest possible functional modules. The value of such modules for gaining insight into the underlying biological processes depends on their functional coherence. The challenges that we wish to address are to define and quantify the functional coherence of modules in relationship networks, so that they can be used to infer function of as yet unannotated proteins, to discover previously unknown roles of proteins in diseases as well as for better understanding of the regulation and interrelationship between different elements of complex biological systems.</p> <p>Results</p> <p>We have defined the functional coherence of modules with respect to the Gene Ontology (GO) by considering two complementary aspects: (i) the fragmentation of the GO functional categories into the different modules and (ii) the most representative functions of the modules. We have proposed a set of metrics to evaluate these two aspects and demonstrated their utility in <it>Arabidopsis thaliana</it>. We selected 2355 proteins for which experimentally established protein-protein interaction (PPI) data were available. From these we have constructed five relationship networks, four based on single types of data: PPI, co-expression, co-occurrence of protein names in scientific literature abstracts and sequence similarity and a fifth one combining these four evidence types. The ability of these networks to suggest biologically meaningful grouping of proteins was explored by applying Markov clustering and then by measuring the functional coherence of the clusters.</p> <p>Conclusions</p> <p>Relationship networks integrating multiple evidence-types are biologically informative and allow more proteins to be assigned to a putative functional module. Using additional evidence types concentrates the functional annotations in a smaller number of modules without unduly compromising their consistency. These results indicate that integration of more data sources improves the ability to uncover functional association between proteins, both by allowing more proteins to be linked and producing a network where modular structure more closely reflects the hierarchy in the gene ontology.</p

Magnetic resonance imaging contrast enhancement of extra-ocular muscles in dogs with no clinical evidence of orbital disease

Enhancement of extra-ocular muscles has been reported in cases of orbital pathology in both veterinary and medical magnetic resonance imaging. We have also observed this finding in the absence of orbital disease. The purpose of this retrospective study was to describe extra-ocular muscle contrast enhancement characteristics in a group of dogs with no known orbital disease. Magnetic resonance images (MRI) from dogs with no clinical evidence of orbital disease and a reportedly normal MRI study were retrieved and reviewed. Contrast enhancement percentages of the medial, lateral, ventral, and dorsal rectus muscles were calculated based on signal-to-noise ratios that were in turn determined from hand-traced regions of interest in precontrast, immediate postcontrast and 10-min postcontrast scans. Comparison measurements were made in the pterygoid muscle. Contrast enhancement of the extra-ocular muscles was observed in all patients (median contrast enhancement percentage 45.0%) and was greater than that of pterygoid muscle (median contrast enhancement percentage 22.7%). Enhancement of the extra-ocular muscles persisted 10 min after contrast administration (median contrast enhancement percentage 43.4%). Findings indicated that MRI contrast enhancement of extra-ocular muscles is likely normal in dogs

Engaging medical education scholars with a Twitter conference on professionalism and professional identity formation

Implication StatementThe Education Innovation Institute (EII) of Medical College of Georgia, Augusta University, hosted a conference on Twitter about Professional Identity Formation (PIF), #MCGConf2021PIF, on February 25, 2021. The conference featured five presentations by 15 authors from Canada and the U.S. A Twitter conference is a versatile, affordable, and accessible digital option for medical education groups interested in diversifying conference offerings and reaching a broader audience. It was low-cost, organized in six months, and garnered over 9,000 Twitter impressions. Small networks and interest groups can organize Twitter conferences for their constituencies and larger conference organizations can host online mini-conferences to supplement in-person events.Énoncé des implications de la rechercheLe 25 février 2021, l’Educational Innovation Institute (EII) du Medical College of Georgia de l’Université Augusta a tenu une conférence sur la construction de l’identité professionnelle sur le réseau social Twitter (#MCGConf2021PIF). Cinq communications y ont été présentées par 15 chercheurs du Canada et des États-Unis. Elle a été organisée en six mois, à coût modeste, et elle a recueilli plus de 9 000 impressions sur Twitter. La conférence Twitter s’avère être une option numérique polyvalente, abordable et accessible pour les membres du milieu de l’éducation médicale désireux de diversifier leur offre de symposiums et de toucher un public plus large. Twitter offre aux petits réseaux et groupes d’intérêt la possibilité de convier leurs membres à des conférences restreintes et aux organisateurs de conférences plus importantes la possibilité de tenir des mini-conférences en ligne pour compléter leurs activités en personne