Mapping the UK Webspace: Fifteen Years of British Universities on the Web

This paper maps the national UK web presence on the basis of an analysis of the .uk domain from 1996 to 2010. It reviews previous attempts to use web archives to understand national web domains and describes the dataset. Next, it presents an analysis of the .uk domain, including the overall number of links in the archive and changes in the link density of different second-level domains over time. We then explore changes over time within a particular second-level domain, the academic subdomain .ac.uk, and compare linking practices with variables, including institutional affiliation, league table ranking, and geographic location. We do not detect institutional affiliation affecting linking practices and find only partial evidence of league table ranking affecting network centrality, but find a clear inverse relationship between the density of links and the geographical distance between universities. This echoes prior findings regarding offline academic activity, which allows us to argue that real-world factors like geography continue to shape academic relationships even in the Internet age. We conclude with directions for future uses of web archive resources in this emerging area of research.Comment: To appear in the proceeding of WebSci 201

Mycity, Mysounds

Review of Mycity, Mysounds, Reviewed February 2017 by Josh Meyer, Knowledge Manager KieranTimberlake [email protected]

Does Patient Age and Criticality Affect the Paramedic Student\u27s Opportunity to be a Team Leader?

Throughout various health-professions education, it is common for student learners to follow preceptor experts in the clinical environment. Depending on the profession, some students may encounter various age groups and various severities of patient presentations. This research in emergency medical services (EMS) education sought to investigate whether the age and acuity of the patient influences the paramedic student’s opportunity to act as a team leader during pre-hospital internship experiences. A retrospective review of student records in FISDAP, a national online EMS student tracking system, was completed. 537,343 patient encounters among 5,720 students from January 2010 to December 2018 were analyzed; statistical analysis included the use of odds ratios. Results found that paramedic students led less pediatric encounters than adult encounters. Paramedic students were significantly less likely to lead calls with all pediatric age groups across increasing levels of acuity with the exception of 3-12 year-old patients who were “critical” or had a “life-threatening illness/injury”; in this case, they were just as likely as their preceptors to lead the pre-hospital team. Additionally, paramedic students across the nation generally led a higher percentage of “critical” encounters than “non-critical” encounters (46.26% to 26.63%) during their field internships. When considering clinical experiences for health-profession learners, using this research from EMS education as proxy may help clinical educators develop more effective training for preceptors and clinical sites to preemptively address this phenomenon. Specifically, preceptors should be educated to allow increased opportunities (when available and appropriate) for students to act with more autonomy among pediatric populations in the clinical learning environment. Ideally this increased exposure and practice will help build future generations of more prepared and more experienced healthcare professionals

New insights into the classification and nomenclature of cortical GABAergic interneurons.

A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus