1,796 research outputs found

    Professional Behaviors and Fieldwork: A Curriculum Based Model in Occupational Therapy

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    Professional behaviors have been identified as imperative for fieldwork success in occupational therapy, and are held to high expectations by fieldwork educators. This study consisted of three phases. Phase one was a retrospective analysis of past Fieldwork Performance Evaluations (FWPE; n=319). Phase two consisted of the development of a curricular model and Level I Fieldwork Seminar with a focus on low-scoring professional behaviors on the FWPEs, which included verbal/ non-verbal communication, written communication, professional responsibility, work behaviors, and time management. Finally, phase three was a review of the course by the Philadelphia Region Fieldwork Consortium and edits to the seminar based on their feedback. Two theories, situated cognition and self-directed learning, were used to guide the curriculum development

    Introduction to IPE: A School-Wide Orientation Initiative

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    Session Objectives: Present an innovative approach to orienting new students from various healthcare disciplines on Interprofessional Educa(on (IPE). Discuss strategies to shape incoming students’ attitudes toward working in teams. Discuss challenges and opportunities in coordinating a large-­‐scale IPE event. Synopsis Interprofessional experiences are a vital part of healthcare education, and early introduction can positively impact students’ attitudes and knowledge about their team members’ roles. While students at academic health centers (AHC’s) have opportunites to engage in IPE, such opportunites can be overwhelming given significant challenges to coordination and implementation. Addressing these challenges, an interprofessional team at Jefferson School of Health Professions in Philadelphia developed a large-­‐scale event where students could meet other healthcare students and be oriented to IPE as a community. This session discusses the pragmatic and conceptual challenges of the two month planning process of the orientation event, its implementation, and outcomes

    The Pic Protease of Enteroaggregative \u3cem\u3eEscherichia coli\u3c/em\u3e Promotes Intestinal Colonization and Growth in the Presence of Mucin

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    Enteroaggregative Escherichia coli (EAEC) is increasingly being recognized as a cause of diarrheal disease in diverse populations. No small animal model is currently available to study this pathogen. We report here that conventional mice orally inoculated with prototype EAEC strain 042 generally became colonized, though the abundance of organisms cultured from their stool varied substantially among individual animals. In contrast, mice whose water contained 5 g/liter streptomycin consistently became colonized at high levels (ca. 108 CFU/g of stool). Neither conventional nor streptomycin-treated mice developed clinical signs or histopathologic abnormalities. Using specific mutants in competition with the wild-type strain, we evaluated the contribution of several putative EAEC virulence factors to colonization of streptomycin-treated mice. Our data suggest that the dispersin surface protein and Pic, a serine protease autotransporter secreted by EAEC and Shigella flexneri, promote colonization of the mouse. In contrast, we found no role for the aggregative adherence fimbriae, the transcriptional activator AggR, or the surface factor termed Air (enteroaggregative immunoglobulin repeat protein). To study Pic further, we constructed a single nucleotide mutation in strain 042 which altered only the Pic catalytic serine (strain 042PicS258A). Fractionation of the tissue at 24 h and 3 days demonstrated an approximate 3-log10 difference between 042 and 042PicS258A in the lumen and mucus layer and adherent to tissue. Strains 042 and 042PicS258A adhered similarly to mouse tissue ex vivo. While no growth differences were observed in a continuous-flow anaerobic intestinal simulator system, the wild-type strain exhibited a growth advantage over 042PicS258A in a culture of cecal mucus and in cecal contents in vitro; this difference was manifest only after 6 h of growth. Moreover, enhanced growth of the wild type was observed in comparison with that of the mutant in minimal medium containing mucin but not in the absence of mucin. The data suggest a novel metabolic role for the Pic mucinase in EAEC colonization

    Pharmacokinetics and Safety of Micafungin in Infants Supported With Extracorporeal Membrane Oxygenation

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    Candida is a leading cause of infection in infants on extracorporeal membrane oxygenation (ECMO). Optimal micafungin dosing is unknown in this population because ECMO can alter drug pharmacokinetics (PK)

    Decoding Continuous Variables from Neuroimaging Data: Basic and Clinical Applications

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    The application of statistical machine learning techniques to neuroimaging data has allowed researchers to decode the cognitive and disease states of participants. The majority of studies using these techniques have focused on pattern classification to decode the type of object a participant is viewing, the type of cognitive task a participant is completing, or the disease state of a participant's brain. However, an emerging body of literature is extending these classification studies to the decoding of values of continuous variables (such as age, cognitive characteristics, or neuropsychological state) using high-dimensional regression methods. This review details the methods used in such analyses and describes recent results. We provide specific examples of studies which have used this approach to answer novel questions about age and cognitive and disease states. We conclude that while there is still much to learn about these methods, they provide useful information about the relationship between neural activity and age, cognitive state, and disease state, which could not have been obtained using traditional univariate analytical methods
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