Flip to Learn & Learn to Flip in Occupational Therapy Education: A Scoping Review

Faculty seek methods that efficiently use their time, facilitate deep learning, and acquire competencies through the curriculum. The flipped classroom, a pedagogical approach, is proposed to be one solution to these issues. This study is a scoping review of how health care professional courses apply the flipped classroom model. The specific aims of this scoping review are: (a) determine the health care disciplines using and researching flipped classrooms, (b) identify and categorize instructional/course design and teaching and learning strategies used in flipped classroom literature, and (c) classify the levels of evidence-based education and trustworthiness in the studies as defined by Kirkpatrick\u27s hierarchy. Following the PRISMA guidelines for sectioning the study, twenty studies were included in this scoping review. This scoping review identified various health care professions that have implemented the flipped classroom model at multiple levels of courses and curriculum to enhance student learning experiences. The flipped classroom design model provides different ways of improving learning environments, which could benefit student learning outcomes in academic performance and satisfaction. Pre-class and in-class active learning is the most common teaching and learning strategies; although less common, there is value identified in the after-class learning activities. Research suggests that blended learning and flipped classrooms can be effective in health care professional education to learn, retain, apply, and think critically compared to traditional teaching. Occupational therapy educators can use various learning strategies discussed in this study as an alternative or supplement to enhance or replace the traditional lecture-based teaching style

Serotype-specific differences in inhibition of reovirus infectivity by human-milk glycans are determined by viral attachment protein σ1

AbstractHuman milk contains many bioactive components, including secretory IgA, oligosaccharides, and milk-associated proteins. We assessed the antiviral effects of several components of milk against mammalian reoviruses. We found that glucocerebroside (GCB) inhibited the infectivity of reovirus strain type 1 Lang (T1L), whereas gangliosides GD3 and GM3 and 3′-sialyllactose (3SL) inhibited the infectivity of reovirus strain type 3 Dearing (T3D). Agglutination of erythrocytes mediated by T1L and T3D was inhibited by GD3, GM3, and bovine lactoferrin. Additionally, α-sialic acid, 3SL, 6′-sialyllactose, sialic acid, human lactoferrin, osteopontin, and α-lactalbumin inhibited hemagglutination mediated by T3D. Using single-gene reassortant viruses, we found that serotype-specific differences segregate with the gene encoding the viral attachment protein. Furthermore, GD3, GM3, and 3SL inhibit T3D infectivity by blocking binding to host cells, whereas GCB inhibits T1L infectivity post-attachment. These results enhance an understanding of reovirus cell attachment and define a mechanism for the antimicrobial activity of human milk

Virology under the microscope—a call for rational discourse

Viruses have brought humanity many challenges: respiratory infection, cancer, neurological impairment and immunosuppression to name a few. Virology research over the last 60+ years has responded to reduce this disease burden with vaccines and antivirals. Despite this long history, the COVID-19 pandemic has brought unprecedented attention to the field of virology. Some of this attention is focused on concern about the safe conduct of research with human pathogens. A small but vocal group of individuals has seized upon these concerns – conflating legitimate questions about safely conducting virus-related research with uncertainties over the origins of SARS-CoV-2. The result has fueled public confusion and, in many instances, ill-informed condemnation of virology. With this article, we seek to promote a return to rational discourse. We explain the use of gain-of-function approaches in science, discuss the possible origins of SARS-CoV-2 and outline current regulatory structures that provide oversight for virological research in the United States. By offering our expertise, we – a broad group of working virologists – seek to aid policy makers in navigating these controversial issues. Balanced, evidence-based discourse is essential to addressing public concern while maintaining and expanding much-needed research in virology

Mobility Programs for the Hospitalized Older Adult: A Scoping Review

Objectives: This scoping review (a) describes programs to improve mobility in hospitalized adults and (b) determines the methods used to measure mobility. Method: The Joanna Briggs Institute Methodology for Scoping Reviews was used to conduct this review. Results: Our findings suggest that using a multidisciplinary approach may be the most effective way to promote mobility in hospitalized older adults. Most studies did not articulate how physical activity was measured, indicating that more research is needed. Discussion: The literature shows that implementation of protocols designed to improve the early and regular implementation of physical mobility activities improves the health outcomes of hospitalized older people. Costs associated with healthcare utilization are also reduced, including hospital length of stay. Mobility programs that quantified mobility through validated measurement tools or accelerometers are the most promising as they provide feedback that reinforces progress of the patient and the expected benefits of early mobility

Autonomous Reovirus Strain Classification Using Filament-Coupled Antibodies

Abstract—We previously described a filament-based antibody recognition assay (FARA) that generates ELISA-like sandwich structures immobilized on a filament. FARA allows the coupling of antibodies to precise locations along a filament, on-line fluorescence detection of captured pathogen, and feedback-directed filament motion. These properties suggest that this approach might be useful as an automated means to rapidly classify unknown pathogens. In this report, we describe validation of the novel decision tree aspect of this technology using mammalian reovirus. Based on available antibodies, we developed a decision tree algorithm to detect virus with increasing specificity at each level of the tree. Using three strains of reovirus and a bacteriophage control, our system correctly classified the reovirus strains at a concentration of 2 10 12 virions ml)