290 research outputs found

    History of development in Orange and Seminole counties: growth patterns of urban form in the Orlando metropolitan area.

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    A brief history of Orange and Seminole counties chronicling development from the colonial period to 1965, illustrated with period photographs and facsimile advertisements.https://stars.library.ucf.edu/floridaheritage/1109/thumbnail.jp

    Evaluating NGATS research priorities at JPDO

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    The Joint Planning and Development Office (JPDO) provides annual air transportation research and development funding guidance to its participating federal agencies, to help coordinate their investments and activities toward the development of the Next Generation Air Transportation System (NGATS). Here we introduce a quantitative framework for helping JPDO evaluate the performance of the research portfolio. The Ventana NGATS Portfolio Simulator estimates the likely aggregate result of NGATS investments on system performance, using heuristics to link investments to performance estimates from more detailed simulations. We observe that even if most investments succeed, total system improvement may still be limited by any remaining constraints. Accordingly, the riskreducing portfolio design explores a number of independent strategies for addressing each constraint. We will continue use the model to incorporate input from JPDO participating agencies and Integrated Product Teams, to help clarify program interdependencies, and to investigate how those dependencies influence the effectiveness of NGATS investments

    Ventilatory function as a predictor of mortality in lifelong non-smokers: evidence from large British cohort studies

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    Background Reduced ventilatory function is an established predictor of all-cause mortality in general population cohorts. We sought to verify this in lifelong non-smokers, among whom confounding by active smoking can be excluded, and investigate associations with circulatory and cancer deaths. Methods In UK Biobank, among 149 343 white never-smokers aged 40–69 years at entry, 2401 deaths occurred over a mean of 6.5-year follow-up. In the Health Surveys for England (HSE) 1995, 1996, 2001 and Scottish Health Surveys (SHS) 1998 and 2003 combined, there were 500 deaths among 6579 white never-smokers aged 40–69 years at entry, followed for a mean of 13.9 years. SD (z) scores for forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC) were derived using Global Lung Initiative 2012 reference equations. These z-scores were related to deaths from all causes, circulatory disease and cancers using proportional hazards models adjusted for age, sex, height, socioeconomic status, region and survey. Results In the HSE–SHS data set, decreasing z-scores for FEV1 (zFEV1) and FVC (zFVC) were each associated to a similar degree with increased all-cause mortality (hazard ratios per unit decrement 1.17, 95% CI 1.09 to 1.25 for zFEV1 and 1.19, 95% CI 1.10 to 1.28 for zFVC). This was replicated in Biobank (HRs 1.21, 95% CI 1.17 to 1.26 and 1.24, 1.19 to 1.29, respectively). zFEV1 and zFVC were less strongly associated with mortality from circulatory diseases in HSE–SHS (HR 1.22, 95% CI 1.06 to 1.40 for zFVC) than in Biobank (HR 1.47, 95% CI 1.35 to 1.60 for zFVC). For cancer mortality, HRs were more consistent between cohorts (for zFVC: HRs 1.12, 95% CI 1.01 to 1.24 in HSE–SHS and 1.10, 1.05 to 1.15 in Biobank). The strongest associations were with respiratory mortality (for zFVC: HRs 1.61, 95% CI 1.25 to 2.08 in HSE–SHS and 2.15, 1.77 to 2.61 in Biobank). Conclusions Spirometric indices predicted mortality more strongly than systolic blood pressure or body mass index, emphasising the importance of promoting lung health in the general population, even among lifelong non-smokers

    The resident assessment instrument-mental health (RAI-MH): Inter-rater reliability and convergent validity

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    An important challenge facing behavioral health services is the lack of good quality, clinically relevant data at the individual level. The article describes a multinational research effort to develop a comprehensive, multidisciplinary mental health assessment system for use with adults in facilities providing acute, long-stay, forensic, and geriatric services. The Resident Assessment Instrument-Mental Health (RAI-MH) comprehensively assesses psychiatric, social, environmental, and medical issues at intake, emphasizing patient functioning. Data from the RAI-MH are intended to support care planning, quality improvement, outcome measurement, and case mix-based payment systems. The article provides the first set of evidence on the reliability and validity of the RAI-MH.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45775/1/11414_2005_Article_BF02287348.pd

    Using random forests to diagnose aviation turbulence

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    mospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft damage, and delays due to required post-event inspections and repairs. Moreover, attempts to avoid turbulent airspace cause flight delays and en route deviations that increase air traffic controller workload, disrupt schedules of air crews and passengers and use extra fuel. For these reasons, the Federal Aviation Administration and the National Aeronautics and Space Administration have funded the development of automated turbulence detection, diagnosis and forecasting products. This paper describes a methodology for fusing data from diverse sources and producing a real-time diagnosis of turbulence associated with thunderstorms, a significant cause of weather delays and turbulence encounters that is not well-addressed by current turbulence forecasts. The data fusion algorithm is trained using a retrospective dataset that includes objective turbulence reports from commercial aircraft and collocated predictor data. It is evaluated on an independent test set using several performance metrics including receiver operating characteristic curves, which are used for FAA turbulence product evaluations prior to their deployment. A prototype implementation fuses data from Doppler radar, geostationary satellites, a lightning detection network and a numerical weather prediction model to produce deterministic and probabilistic turbulence assessments suitable for use by air traffic managers, dispatchers and pilots. The algorithm is scheduled to be operationally implemented at the National Weather Service's Aviation Weather Center in 2014. Document type: Articl

    The level of competence of graduating nursing students in 10 European countries—Comparison between countries

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    Funding information: This study was supported by the Academy of Finland and the Finnish Nursing Education Foundation sr. Publisher Copyright: © 2020 The Authors. Nursing Open published by John Wiley & Sons Ltd.Aim: To analyse graduating nursing students’ self-assessed competence level in Europe at graduation, at the beginning of nursing career. Design: An international cross-sectional evaluative design. Methods: Data were collected in February 2018–July 2019 from graduating nursing students in 10 European countries. Competence was assessed with a validated instrument, the Nurse Competence Scale (NCS). The sample comprised 3,490 students (response rate 45%), and data were analysed statistically. Results: In all countries, graduating nursing students assessed their competence as good (range 50.0–69.1; VAS 0–100), albeit with statistically significant differences between countries. The assessments were highest in Iceland and lowest in Lithuania. Older students, those with working experience in health care, satisfied with their current degree programme, with excellent or good study achievements, graduating to 1st study choice and having a nursing career plan for future assessed their competence higher.Peer reviewe
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