186,657 research outputs found
A tribute to Abraham Lincoln.
No full textSigned: P. J. Cormican, S. J., Georgetown University, D.C. Feb. 12, 1923.Caption title.Monaghan,Mode of access: Internet
sj-docx-1-cre-10.1177_02692155221141036 - Supplemental material for Healthcare professionals’ perceived barriers and facilitators of implementing clinical practice guidelines for stroke rehabilitation: A systematic review
No full textSupplemental material, sj-docx-1-cre-10.1177_02692155221141036 for Healthcare professionals’ perceived barriers and facilitators of implementing clinical practice guidelines for stroke rehabilitation: A systematic review by Adrienne Cormican, Shashivadan P Hirani and Eamonn McKeown in Clinical Rehabilitation</p
Supplementary Materials for SE Carter PhD Thesis
No full text<p>Included:</p>
<p>- Additional Phase I: Value and Privacy Preference Survey graphs (see Version 1)</p>
<p>- VcPA Profile Design Graphs and Statistics for Phase II: Mock App Store Study (v2 includes correct cluster numbers)</p>
<p>- Code List for Phase III: Semi-Structured Interviews (see Version 1)</p>Prof. Dr. Mathieu d'Aquin, Dr. Heike Felzmann, Prof. Dr. Kathryn Cormican, Dr. Dave Lewis, Dr. Ilaria Tiddi, and Dr. Dayana Spagnuelo also contributed to this work
Investigation of transmission of human respiratory pathogens using whole genome sequencing
No full textThis doctoral thesis explores the role of whole genome sequencing in the investigation of transmission of human respiratory pathogens. It is a “PhD thesis by publication” which consists primarily of three published first-author journal articles that describe investigations of the transmission of Mumps virus, Adenovirus and Pseudomonas aeruginosa respectively. The work was undertaken in Toronto, Canada between 2016 and 2019, when the author was a Clinical and Research Fellow in Medical Microbiology at the University of Toronto, the Hospital for Sick Children and the Public Health Ontario Laboratory, as well as a PhD student with University of Galway supervised by Prof. Martin Cormican. The topics of the research were chosen for (1) their relevance to public health or hospital outbreak prevention and infection control and (2) as contexts in which best practices had yet to be established for genomic epidemiology investigations using whole genome sequencing. The majority of infections described occurred in the greater Toronto area. The introduction outlines the development of early generation pathogen typing techniques and the advent of low-cost and widely distributed whole genome sequencing technologies. The strengths and limitations of sequencing technologies that have seen widespread adoption in the field of clinical microbiology are described. An outline of the epidemiological context for each of the three articles is provided, along with rationales for using sequencing to explore transmission. The focus of the publications consists of (1) investigating the community spread of a Mumps virus outbreak in Ontario, (2) investigating a prolonged nosocomial outbreak of human Adenovirus-A31 affecting a paediatric bone marrow transplantation unit over 3 years and (3) the retrospective interrogation of a large collection of P. aeruginosa isolates from children with Cystic Fibrosis to identify cryptic nosocomial transmission. The discussion section that follows the main chapters describes how the findings from all investigations illustrate the need for clinicians to employ an approach to genomic epidemiology that can define thresholds for relatedness between pathogens where this has not already been clearly established, in order to “rule in” or “rule out” transmission as the core finding. The novelty and significance of specific findings from each study are identified and commonalities between them discussed. Finally, a post-script section explores how the lessons learned can be applied to the integration of whole genome sequencing into the routine work of clinical microbiology in hospitals laboratories in Ireland to support outbreak investigation. It briefly describes how initial steps towards this integration taken during the course of the Covid-19 pandemic through the setup of a national laboratory network for whole genome sequencing of SARS-CoV-2
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Characterization of metabolic and inflammatory profiles of transition dairy cows fed an energy-restricted diet
No full textPeriparturient diseases of dairy cows are caused by disproportionate energy metabolism, mineral imbalance, and perturbed immune function. The aim of the present study was to characterize metabolism, innate immune endometrial gene expression, and uterine microbial populations of transition animals receiving normal or restricted energy diets. Pregnant multiparous Holstein cows (n = 14) were randomly assigned to one of the two dietary treatments from 20 d prepartum until 35 d postpartum (DPP). One group was fed a diet providing 100% energy requirements (NE), whereas the other received an energy-restricted diet providing 80% energy requirements (RE). Feed intake, milk yield, body weight, body condition score, temperature, respiratory, and pulse rate were recorded. After calving, blood was collected weekly to analyze nonesterified fatty acids (NEFAs), β-hydroxybutyrate (BHB), and total cholesterol (TC). Endometrial cytobrushes were collected for gene expression analysis of inflammatory markers, microbial populations determination, and cytological evaluation. The restricted energy diet did not alter feed intake or milk yield but changed energy balance and metabolites levels (P < 0.05). In fact, RE animals had high NEFA and BHB levels, and low TC concentrations (P < 0.05). Moreover, RE animals had upregulated gene expression of serum amyloid A3 (SAA3) at 35 DPP (P < 0.05) and CXC chemokine receptor 2 (CXCR2) at 14 DPP (P < 0.01). Interleukin (IL) 1 and IL8 genes were downregulated 14 DPP but upregulated 35 DPP in RE animals, whereas IL6 and lipopolysaccharide-binding protein (LBP) genes were upregulated at 14 DPP (P ≤ 0.05). The most abundant phyla in RE animals (n = 3) were Bacteroidetes and Fusobacteria, whereas Proteobacteria was the least abundant at both 14 and 35 DPP. In conclusion, it can be speculated that energy balance is one of the main drivers for uterine inflammation by affecting metabolism, immune function, and uterine microbiota. However, these findings should be validated in a larger sample size
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
