Utilising Features of Sport Commentating to Provide a Framework for Co-Teaching the Online Lecture

Higher education teaching abruptly changed during the COVID-19 pandemic to remote, on-line learning and teaching. The use of on-line communication software to teach became the norm and remains at many institutions. This software contains features, such as the chat, that offer teaching and learning advantages; however, potential benefits can be challenging to realise for academics used to traditional modes of lecture delivery. In most cases a solo-taught lecture designed for a physical room does not transition well to the on-line space. Co-teaching, which involves two or more academics teaching the same class, is a pedagogy that can improve engagement and satisfaction for students and academics alike. However, how co-teaching can transition to the on-line space and take full benefit of the communication software features is not well known. We recognised that some aspects of sports announcing (commentating) align with desirable qualities of co-teaching on-line. In this paper we use these features to develop a practical framework for co-teaching in the on-line space and evaluate the model in a second-year university science subject. Using data from student surveys, we found that the co-teaching model helped integrate the chat functionality into the main lecture and led to improved engagement and enjoyment of on-line classes. The model also assisted students in identifying key learning outcomes. Using the framework as a practical guide for how to incorporate co-teaching into on-line classes helps realise the benefits of contemporary communication software

Fogler Library: STEAM in Horror Fiction

This video slideshow explores aspects of science, technology, engineering, and mathematics in works of horror and fiction. It was part of a display in Fogler Library October 17, 2022 through November 18, 2022. For more information on science resources and instruction at Fogler Library, the science reference librarians are here to help. No audio.https://digitalcommons.library.umaine.edu/umaine_video/1014/thumbnail.jp

Data Visualization for Network Simulations

As many other kinds of simulation experiments, simulations of computer networks tend to generate high volumes of output data. While the collection and the statistical processing of these data are challenges in and of themselves, creating meaningful visualizations from them is as much an art as it is a science. A sophisticated body of knowledge in information design and data visualization has been developed and continues to evolve. However, many of the visualizations created by the network simulation community tend to be less than optimal at creating compelling, informative narratives from experimental output data. The primary contribution of this paper is to explore some of the design dimensions in visualization and some advances in the field that are applicable to network simulation. We also discuss developments in the creation of the visualization subsystem in the Simulation Automation Framework for Experiments (SAFE) in the context of best practices for data visualization

SAFE: Simulation Automation Framework for Experiments

The workflow of a network simulation study requires adherence to best practices in methodology so that results are credible and reproducible by third parties. The opportunities for one to introduce errors start at model description and permeate the process through to the reporting of results. The literature indicates that even publications in respected venues include inadvertent mistakes and poor application of methodology. When experts are liable to fail, it is unreasonable to expect that students would fare any better. This paper presents a system designed to provide guidance for inexperienced users of the popular ns-3 network simulator. SAFE automates the workflow from the initialization of model parameters, to the parallelized execution of experiments, to the processing and persistent storage of output data, and to graphical visualization of results. We discuss the architecture and the implementation of the system in the context of similar contributions in the literature

The Role of Multiple Sclerosis as a Risk Factor for the Development of Osteoporosis

Background: Osteoporosis is the most common bone disease in the United States, and it is particularly common among women with multiple sclerosis (MS). However, despite this association, the temporal relationship between these two conditions has not been previously studied. Data from the Women’s Health Initiative provides a unique opportunity to examine the risk of developing osteoporosis over time in individuals diagnosed with MS. Objective: The purpose of this study is to refine the relationship between MS and osteoporosis, clarifying the impact of environmental and pharmacologic factors on each condition, as well as addressing treatment and preventative efforts for a patient population at a greater potential risk for osteoporosis. Methods: The study sample, derived from the Women’s Health Initiative, included 449 women who reported an MS diagnosis at baseline and 161,359 women without MS who comprised a control group. Baseline measures of self-reported osteoporosis, age, smoking status, steroid and anti-inflammatory use, and supplementary as well as dietary calcium and vitamin D were compared. MS patients reporting osteoporosis at baseline were removed, resulting in 355 women with MS to monitor for time to incident osteoporosis. Survival analyses were performed on follow-up data gathered annually between 1993 and 2005 to factor out significant associations of additional factors. Proportions of participants on osteoporosis-related medications as well as latency to use were compared between the multiple sclerosis and control cohorts. Results: At baseline, women with MS are nearly three times as likely to report osteoporosis (p Conclusions: A higher prevalence of osteoporosis at baseline suggests MS may significantly increase the risk of osteoporosis in premenopausal women. In contrast, environmental and pharmacologic variables appear to have a more significant role in the post-menopausal population. While osteoporosis was treated similarly between both groups, the point for intervention or prevention of osteoporosis in MS patients may be earlier in the disease course

Association between Electronic Medical Record Implementation of Default Opioid Prescription Quantities and Prescribing Behavior in Two Emergency Departments

Setting a low quantity of opioid tablets as the default option in electronic medical record prescribing orders may “nudge” clinicians to prescribe fewer opioids. When two emergency departments implemented a 10-tablet default instead of a manual entry, the proportion of 10-tablet prescriptions written more than doubled, from 20.6% to 43.3%. Conversely, 20-tablet prescriptions decreased from 22.8% to 16.1%, and prescriptions for 11-19 tablets decreased from 33.5% to 20.1%

MYOD-SKP2 axis boosts tumorigenesis in fusion negative rhabdomyosarcoma by preventing differentiation through p57Kip2^{Kip2} targeting

Rhabdomyosarcomas (RMS) are pediatric mesenchymal-derived malignancies encompassing PAX3/7-FOXO1 Fusion Positive (FP)-RMS, and Fusion Negative (FN)-RMS with frequent RAS pathway mutations. RMS express the master myogenic transcription factor MYOD that, whilst essential for survival, cannot support differentiation. Here we discover SKP2, an oncogenic E3-ubiquitin ligase, as a critical pro-tumorigenic driver in FN-RMS. We show that SKP2 is overexpressed in RMS through the binding of MYOD to an intronic enhancer. SKP2 in FN-RMS promotes cell cycle progression and prevents differentiation by directly targeting p27$^{Kip1}$ and p57$^{Kip2}$, respectively. SKP2 depletion unlocks a partly MYOD-dependent myogenic transcriptional program and strongly affects stemness and tumorigenic features and prevents in vivo tumor growth. These effects are mirrored by the investigational NEDDylation inhibitor MLN4924. Results demonstrate a crucial crosstalk between transcriptional and post-translational mechanisms through the MYOD-SKP2 axis that contributes to tumorigenesis in FN-RMS. Finally, NEDDylation inhibition is identified as a potential therapeutic vulnerability in FN-RMS

Supply chain of innovation and new product development

This paper conceptualizes the supply chain of innovation of a company as its supply chain not related to physical goods exchanges but to R&D commodities exchanges. R&D commodities, being the outcomes of research activities, are for example patents, technologies, research services, studies, projects, etc. Spe- cifically, we focus on the relationship between the activities of purchasing/selling R&D commodities and the propensity of the firm to develop new products; we examine how the position of the firm within its innovation network moderates this relationship. The empirical setting of the research consists of a cross- sectional dataset of 544 biopharmaceutical companies that have signed 1772 R&D agreements in the years 2006–2010. We find firstly, evidence of the supply chain of innovation (as a natural evolution of the well-acknowledged dual-market model of the biopharmaceutical industry). Secondly, we find that the relational embeddedness, coming from innovation network, influences the effect of purchasing and selling R&D commodities on new product development. Supporting our theoretical predictions, this paper offers contributions to the scientific literature on supply chain relationships in new product development

Protection of Mice against Lethal Challenge with 2009 H1N1 Influenza A Virus by 1918-Like and Classical Swine H1N1 Based Vaccines

The recent 2009 pandemic H1N1 virus infection in humans has resulted in nearly 5,000 deaths worldwide. Early epidemiological findings indicated a low level of infection in the older population (>65 years) with the pandemic virus, and a greater susceptibility in people younger than 35 years of age, a phenomenon correlated with the presence of cross-reactive immunity in the older population. It is unclear what virus(es) might be responsible for this apparent cross-protection against the 2009 pandemic H1N1 virus. We describe a mouse lethal challenge model for the 2009 pandemic H1N1 strain, used together with a panel of inactivated H1N1 virus vaccines and hemagglutinin (HA) monoclonal antibodies to dissect the possible humoral antigenic determinants of pre-existing immunity against this virus in the human population. By hemagglutinination inhibition (HI) assays and vaccination/challenge studies, we demonstrate that the 2009 pandemic H1N1 virus is antigenically similar to human H1N1 viruses that circulated from 1918–1943 and to classical swine H1N1 viruses. Antibodies elicited against 1918-like or classical swine H1N1 vaccines completely protect C57B/6 mice from lethal challenge with the influenza A/Netherlands/602/2009 virus isolate. In contrast, contemporary H1N1 vaccines afforded only partial protection. Passive immunization with cross-reactive monoclonal antibodies (mAbs) raised against either 1918 or A/California/04/2009 HA proteins offered full protection from death. Analysis of mAb antibody escape mutants, generated by selection of 2009 H1N1 virus with these mAbs, indicate that antigenic site Sa is one of the conserved cross-protective epitopes. Our findings in mice agree with serological data showing high prevalence of 2009 H1N1 cross-reactive antibodies only in the older population, indicating that prior infection with 1918-like viruses or vaccination against the 1976 swine H1N1 virus in the USA are likely to provide protection against the 2009 pandemic H1N1 virus. This data provides a mechanistic basis for the protection seen in the older population, and emphasizes a rationale for including vaccination of the younger, naïve population. Our results also support the notion that pigs can act as an animal reservoir where influenza virus HAs become antigenically frozen for long periods of time, facilitating the generation of human pandemic viruses