A Survey on the Preparation of Becoming a Nongraded Elementary School in the State of Washington

It was the purpose of this study (1) to review the literature regarding the organization of the nongraded elementary school; (2) to ascertain through the use of a questionnaire how the nongraded elementary schools have been organized in the State of Washington; and (3) to compare what the literature stated in organizing the nongraded school as to what was actually done in nongraded school systems in Washington State

External validation of a simple clinical tool used to predict falls in people with Parkinson disease

Published in final edited form as: Parkinsonism Relat Disord. 2015 August ; 21(8): 960–963. doi:10.1016/j.parkreldis.2015.05.008.BACKGROUND: Assessment of fall risk in an individual with Parkinson disease (PD) is a critical yet often time consuming component of patient care. Recently a simple clinical prediction tool based only on fall history in the previous year, freezing of gait in the past month, and gait velocity <1.1 m/s was developed and accurately predicted future falls in a sample of individuals with PD. METHODS: We sought to externally validate the utility of the tool by administering it to a different cohort of 171 individuals with PD. Falls were monitored prospectively for 6 months following predictor assessment. RESULTS: The tool accurately discriminated future fallers from non-fallers (area under the curve [AUC] = 0.83; 95% CI 0.76–0.89), comparable to the developmental study. CONCLUSION: The results validated the utility of the tool for allowing clinicians to quickly and accurately identify an individual's risk of an impending fall.Davis Phinney Foundation, Parkinson Disease Foundation, NIH, APDA. (Davis Phinney Foundation; Parkinson Disease Foundation; NIH; APDA

All Together Now: A Framework for Research on Mob Programming

Mob programming (MP) is a relatively new phenomenon in software development. So far, the academic literature has not published in this domain. The goal of this paper is to develop a framework for researching the MP phenomenon. We first outline current practitioner descriptions of and justifications for MP. We then examine concepts from team theory and practices from agile development to identify the team processes and taskwork involved in MP. Based on these, we present a research framework for the academic study of MP. We conclude by considering how the framework can be used by IS researchers

T Cell Epitope Redundancy: Cross-conservation of the TCR face between Pathogens and Self and its Implications for Vaccines and Auto-immunity

T cells are extensively trained on ‘self’ in the thymus and then move to the periphery, where they seek out and destroy infections and regulate immune response to self-antigens. T cell receptors (TCR) on T cells’ surface recognize T cell epitopes, short linear strings of amino acids presented by antigen-presenting cells. Some of these epitopes activate T effectors, while others activate regulatory T cells. It was recently discovered that T cell epitopes that are highly conserved on their TCR face with human genome sequences are often associated with T cells that regulate immune response. These TCR-cross-conserved or ‘redundant epitopes’ are more common in proteins found in pathogens that have co-evolved with humans than in other non-commensal pathogens. Epitope redundancy might be the link between pathogens and autoimmune disease. This article reviews recently published data and addresses epitope redundancy, the “elephant in the room” for vaccine developers and T cell immunologists

Universal H1N1 influenza vaccine development

Immune responses to cross-conserved T cell epitopes in novel H1N1 influenza may explain reports of diminished influenza-like illnesses and confirmed infection among older adults, in the absence of cross-reactive humoral immunity, during the 2009 pandemic. These cross-conserved epitopes may prove useful for the development of a universal H1N1 influenza vaccine, therefore, we set out to identify and characterize cross-conserved H1N1 T cell epitopes. An immunoinformatic analysis was conducted using all available pandemic and pre-pandemic HA-H1 and NA-N1 sequences dating back to 1980. Using an approach that balances potential for immunogenicity with conservation, we derived 13 HA and four NA immunogenic consensus sequences (ICS) from a comprehensive analysis of 5 738 HA-H1 and 5 396 NA-N1 sequences. These epitopes were selected because their combined epitope content is representative of greater than 84% of pre-pandemic and pandemic H1N1 influenza strains, their predicted immunogenicity (EpiMatrix) scores were greater than or equal to the 95th percentile of all comparable epitopes, and they were also predicted to be presented by more than four HLA class II archetypal alleles. We confirmed the ability of these peptides to bind in HLA binding assays and to stimulate interferon-γ production in human peripheral blood mononuclear cell cultures. These studies support the selection of the ICS as components of potential group-common H1N1 vaccine candidates and the application of this universal influenza vaccine development approach to other influenza subtypes

Interpreting and acting upon home blood pressure readings: A qualitative study

This article is made available through the Brunel Open Access Publishing Fund. Copyright @ 2013 Vasileiou et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Background: Recent guidelines recognize the importance of home blood pressure monitoring (HBPM) as an adjunct to clinical measurements. We explored how people who have purchased and use a home blood pressure (BP) monitor make sense of, and act upon, readings and how they communicate with their doctor about the practice of home monitoring. Methods: A qualitative study was designed and participants were purposively recruited from several areas in England, UK. Semi-structured in-depth interviews were conducted with 18 users of home BP monitors. The transcribed data were thematically analysed. Results: Interpretation of home BP readings is complex, and is often characterised by uncertainty. People seek to assess value normality using ‘rules of thumb’, and often aim to identify the potential causes of the readings. This is done by drawing on lay models of BP function and by contextualising the readings to personal circumstances. Based on the perceived causes of the problematic readings, actions are initiated, mostly relating to changes in daily routines. Contacting the doctor was more likely when the problematic readings persisted and could not be easily explained, or when participants did not succeed in regulating their BP through their other interventions. Most users had notified their doctor of the practice of home monitoring, but medical involvement varied, with some participants reporting disinterest or reservations by doctors. Conclusions: Involvement from doctors can help people overcome difficulties and resolve uncertainties around the interpretation of home readings, and ensure that the rules of thumb are appropriate. Home monitoring can be used to strengthen the patient-clinician relationship

iVax: An integrated toolkit for the selection and optimization of antigens and the design of epitope-driven vaccines

Computational vaccine design, also known as computational vaccinology, encompasses epitope mapping, antigen selection and immunogen design using computational tools. The iVAX toolkit is an integrated set of tools that has been in development since 1998 by De Groot and Martin. It comprises a suite of immunoinformatics algorithms for triaging candidate antigens, selecting immunogenic and conserved T cell epitopes, eliminating regulatory T cell epitopes, and optimizing antigens for immunogenicity and protection against disease. iVAX has been applied to vaccine development programs for emerging infectious diseases, cancer antigens and biodefense targets. Several iVAX vaccine design projects have had success in pre-clinical studies in animal models and are progressing toward clinical studies. The toolkit now incorporates a range of immunoinformatics tools for infectious disease and cancer immunotherapy vaccine design. This article will provide a guide to the iVAX approach to computational vaccinology

An Integrated Genomic and Immunoinformatic Approach to \u3cem\u3eH. pylori\u3c/em\u3e Vaccine Design

Background: One useful application of pattern matching algorithms is identification of major histocom-patability complex (MHC) ligands and T-cell epitopes. Peptides that bind to MHC molecules and interact with T cell receptors to stimulate the immune system are critical antigens for protection against infectious pathogens. We describe a genomes-to-vaccine approach to H. pylori vaccine design that takes advantage of immunoinformatics algorithms to rapidly identify T-cell epitope sequences from large genomic datasets. Results: To design a globally relevant vaccine, we used computational methods to identify a core genome comprised of 676 open reading frames (ORFs) from amongst seven genetically and phenotypically diverse H. pylori strains from around the world. Of the 1,241,153 9-mer sequences encoded by these ORFs, 106,791 were identical amongst all seven genomes and 23,654 scored in the top 5% of predicted HLA ligands for at least one of eight archetypal Class II HLA alleles when evaluated by EpiMatrix. To maximize the number of epitopes that can be assessed experimentally, we used a computational algorithm to in-crease epitope density in 20-25 amino acid stretches by assembling potentially immunogenic 9-mers to be identically positioned as they are in the native protein antigen. 1,805 immunogenic consensus sequences (ICS) were generated. 79% of selected ICS epitopes bound to a panel of 6 HLA Class II haplotypes, repre-senting \u3e90% of the global human population. Conclusions: The breadth of H. pylori genome datasets was computationally assessed to rapidly and care-fully determine a core set of genes. Application of immunoinformatics tools to this gene set accurately pre-dicted epitopes with promising properties for T cell-based vaccine development