11,533 research outputs found

    Use of Best Practice Alerts to Improve Adherence to Evidence-Based Screening in Pediatric Diabetes Care

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    Background: Youth with type 1 diabetes (T1D) are at increased risk for comorbid autoimmune conditions and long-term complications. To help with early identification of these complications, the American Diabetes Association (ADA) has published evidence-based screening guidelines. The aim of our quality improvement intervention was to improve and sustain adherence to the ADA recommended screening guidelines to \u3e90% for youth with T1D in the Texas Children’s Hospital (TCH) Diabetes Center by utilizing best practice alerts (BPA) within the electronic medical record (EMR). Methods: In accordance with the ADA Standards of Care screening guidelines for youth with T1D, we analyzed the database of TCH patients to obtain the following baseline percentages: 1) urine microalbumin-to-creatinine ratio, 2) thyroid function screen, 3) lipid panel, and 4) retinopathy screen. In the TCH EMR, we developed BPAs to alert providers and provide decision support on ADA-based screening recommendations at each clinic encounter. Comparisons were made to screening rates for each category pre- and post-intervention. Results: In the four years following the BPA build, the screening percentage for each category improved from a baseline of 90%, which has been maintained for three consecutive fiscal years. Conclusions: The use of EMR-based BPAs to alert providers of the need for evidenced-based screening is effective in increasing adherence to standard of care guidelines. With this quality improvement intervention, we achieved our goal of \u3e90% for each category. Similar tools for decision support may be effectively utilized for evidence-based screening in other disease states

    Modal vector estimation for closely spaced frequency modes

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    Techniques for obtaining improved modal vector estimates for systems with closely spaced frequency modes are discussed. In describing the dynamical behavior of a complex structure modal parameters are often analyzed: undamped natural frequency, mode shape, modal mass, modal stiffness and modal damping. From both an analytical standpoint and an experimental standpoint, identification of modal parameters is more difficult if the system has repeated frequencies or even closely spaced frequencies. The more complex the structure, the more likely it is to have closely spaced frequencies. This makes it difficult to determine valid mode shapes using single shaker test methods. By employing band selectable analysis (zoom) techniques and by employing Kennedy-Pancu circle fitting or some multiple degree of freedom (MDOF) curve fit procedure, the usefulness of the single shaker approach can be extended

    Gender in Engineering Departments: Are There Gender Differences in Interruptions of Academic Job Talks?

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    We use a case study of job talks in five engineering departments to analyze the under-studied area of gendered barriers to finalists for faculty positions. We focus on one segment of the interview day of short-listed candidates invited to campus: the “job talk”, when candidates present their original research to the academic department. We analyze video recordings of 119 job talks across five engineering departments at two Research 1 universities. Specifically, we analyze whether there are differences by gender or by years of post-Ph.D. experience in the number of interruptions, follow-up questions, and total questions that job candidates receive. We find that, compared to men, women receive more follow-up questions and more total questions. Moreover, a higher proportion of women’s talk time is taken up by the audience asking questions. Further, the number of questions is correlated with the job candidate’s statements and actions that reveal he or she is rushing to present their slides and complete the talk. We argue that women candidates face more interruptions and often have less time to bring their talk to a compelling conclusion, which is connected to the phenomenon of “stricter standards” of competence demanded by evaluators of short-listed women applying for a masculine-typed job. We conclude with policy recommendations

    Neurodevelopmental Changes in Social Reinforcement Processing: A Functional Magnetic Resonance Imaging Study.

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    ObjectiveIn the current study we investigated neurodevelopmental changes in response to social and non-social reinforcement.MethodsFifty-three healthy participants including 16 early adolescents (age, 10-15 years), 16 late adolescents (age, 15-18 years), and 21 young adults (age, 21-25 years) completed a social/non-social reward learning task while undergoing functional magnetic resonance imaging. Participants responded to fractal image stimuli and received social or non-social reward/non-rewards according to their accuracy. ANOVAs were conducted on both the blood oxygen level dependent response data and the product of a context-dependent psychophysiological interaction (gPPI) analysis involving ventromedial prefrontal cortex (vmPFC) and bilateral insula cortices as seed regions.ResultsEarly adolescents showed significantly increased activation in the amygdala and anterior insula cortex in response to non-social monetary rewards relative to both social reward/non-reward and monetary non-rewards compared to late adolescents and young adults. In addition, early adolescents showed significantly more positive connectivity between the vmPFC/bilateral insula cortices seeds and other regions implicated in reinforcement processing (the amygdala, posterior cingulate cortex, insula cortex, and lentiform nucleus) in response to non-reward and especially social non-reward, compared to late adolescents and young adults.ConclusionIt appears that early adolescence may be marked by: (i) a selective increase in responsiveness to non-social, relative to social, rewards; and (ii) enhanced, integrated functioning of reinforcement circuitry for non-reward, and in particular, with respect to posterior cingulate and insula cortices, for social non-reward

    Aggregated Topic Models for Increasing Social Media Topic Coherence

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    Reconstruction of Fundamental SUSY Parameters

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    We summarize methods and expected accuracies in determining the basic low-energy SUSY parameters from experiments at future e+^+e−^- linear colliders in the TeV energy range, combined with results from LHC. In a second step we demonstrate how, based on this set of parameters, the fundamental supersymmetric theory can be reconstructed at high scales near the grand unification or Planck scale. These analyses have been carried out for minimal supergravity [confronted with GMSB for comparison], and for a string effective theory.Comment: 8 pages, latex, 7 figures, expanded version of contributions to the proceedings of ICHEP.2002 (Amstersdam) and LCWS.2002 (Jeju Island

    Cyclic and ruled Lagrangian surfaces in complex Euclidean space

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    We study those Lagrangian surfaces in complex Euclidean space which are foliated by circles or by straight lines. The former, which we call cyclic, come in three types, each one being described by means of, respectively, a planar curve, a Legendrian curve of the 3-sphere or a Legendrian curve of the anti de Sitter 3-space. We also describe ruled Lagrangian surfaces. Finally we characterize those cyclic and ruled Lagrangian surfaces which are solutions to the self-similar equation of the Mean Curvature Flow. Finally, we give a partial result in the case of Hamiltonian stationary cyclic surfaces
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