31,603 research outputs found

    An exploratory study investigating factors associated with adherence to chest physiotherapy and exercise in adults with cystic fibrosis

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    Copyright @ 2009 European Cystic Fibrosis Society. This article is available through Elsevier's Open Access Archives and covered by Elsevier's user license: http://www.elsevier.com/about/open-access/open-access-policies/oa-license-policy/elsevier-user-license.This study explored the relationship between psychological and demographic variables relating to chest physiotherapy (CP) and exercise in adults with cystic fibrosis. The main results were that adherence to both treatments was low and analysis of variance indicated that severity and gender were associated with exercise adherence, importance and burden. These results suggest potential areas for interventions to improve exercise adherence

    Micro-geographic risk factors for malarial infection.

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    BACKGROUND: Knowledge of geography is integral to the study of insect-borne infectious disease such as malaria. This study was designed to evaluate whether geographic parameters are associated with malarial infection in the East Sepik province of Papua New Guinea (PNG), a remote area where malaria is a major cause of morbidity and mortality. METHODS: A global positioning system (GPS) unit was used at each village to collect elevation, latitude and longitude data. Concurrently, a sketch map of each village was generated and the villages were sub-divided into regions of roughly equal populations. Blood samples were taken from subjects in each region using filter paper collection. The samples were later processed using nested PCR for qualitative determination of malarial infection. The area was mapped using the GPS-information and overlaid with prevalence data. Data tables were examined using traditional chi square statistical techniques. A logistic regression analysis was then used to determine the significance of geographic risk factors including, elevation, distance from administrative centre and village of residence. RESULTS: Three hundred and thirty-two samples were included (24% of the total estimated population). Ninety-six were positive, yielding a prevalence of 29%. Chi square testing within each village found a non-random distribution of cases across sub-regions (p < 0.05). Multivariate logistic regression techniques suggested malarial infection changed with elevation (OR = 0.64 per 10 m, p < 0.05) and distance from administrative centre (OR = 1.3 per 100 m, p < 0.05). CONCLUSION: These results suggest that malarial infection is significantly and independently associated with lower elevation and greater distance from administrative centre in a rural area in PNG. This type of analysis can provide information that may be used to target specific areas in developing countries for malaria prevention and treatment

    Tariff Wars and Trade Deals With Costly Government

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    We study a simple model of tariff wars and trade deals in which government revenue collection and disbursement uses resources. The introduction of a costly government leads to lower non-cooperative tariffs, the possibility that a less costly government may win a tariff war, and fully cooperative trade deals where countries lower tariffs but do not eliminate them, even with lump-sum taxes and transfers.

    Parallel scheduling of recursively defined arrays

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    A new method of automatic generation of concurrent programs which constructs arrays defined by sets of recursive equations is described. It is assumed that the time of computation of an array element is a linear combination of its indices, and integer programming is used to seek a succession of hyperplanes along which array elements can be computed concurrently. The method can be used to schedule equations involving variable length dependency vectors and mutually recursive arrays. Portions of the work reported here have been implemented in the PS automatic program generation system

    The ORSER System for the Analysis of Remotely Sensed Digital Data

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    The main effort of the University of Pennsylvania's Office for Remote Sensing of Earth Resources (ORSER) is the processing, analysis, and interpretation of multispectral data, most often supplied by NASA in the form of imagery and digital data. The facilities used for data reduction and image enhancement are described as well as the development of algorithms for producing a computer map showing various environmental and land use characteristics of data points in the analyzed scenes. The application of an (ORSER) capability for statewide monitoring of gypsy moth defoliation is discussed

    Tariff Wars and Trade Deals with Costly Government

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    We study a simple model of tariff wars and trade deals in which government revenue collection and disbursement uses resources. The introduction of costly governments leads to lower non–cooperative tariffs, the possibility that a less costly government may win a tariff war, and fully cooperative trade deals where countries lower tariffs but do not eliminate them, even with lump–sum taxes and transfers.

    An equation of state for oxygen and nitrogen

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    Recent measurements of thermodynamic properties of oxygen and nitrogen have provided data necessary for development of a single equation of state for both fluids. Data are available in summary report and two-part detailed study on thermodynamic properties of oxygen and nitrogen. Same data are used to develop vapor-pressure equation and heat-capacity equation

    Benchmarking and performance analysis of the CM-2

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    A suite of benchmarking routines testing communication, basic arithmetic operations, and selected kernel algorithms written in LISP and PARIS was developed for the CM-2. Experiment runs are automated via a software framework that sequences individual tests, allowing for unattended overnight operation. Multiple measurements are made and treated statistically to generate well-characterized results from the noisy values given by cm:time. The results obtained provide a comparison with similar, but less extensive, testing done on a CM-1. Tests were chosen to aid the algorithmist in constructing fast, efficient, and correct code on the CM-2, as well as gain insight into what performance criteria are needed when evaluating parallel processing machines
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