1,096 research outputs found
Type 2 diabetes and Psychosocial determinants of achieving clinical targets
No full textThis dataset is from a project investigating the role diabetes self-management, knowledge and management self-efficacy have on clinical targets among Type 2 diabetes patients in Thailand. Data have been de-identified. The patient data is in the file MontiFinal.csv, and a description of the variables contained therein are provided in DataDictionary.xl
A comparison of two methods for generating artificial multi-assemblage ecological datasets
No full textSimulated ecological datasets have been widely used to assess the ability of ordination techniques to portray patterns in ecological assemblage data. Such datasets typically contain a single assemblage sampled over an environmental gradient or set of gradients. Little has been done on the generation of artificial datasets that contain a number of different species assemblages, to aid in the evaluation of multivariate techniques that test for differences between assemblages of species. This paper describes and compares two simulation methods that generate ecologically realistic artificial multi-assemblage datasets. Both methods provide multivariate data (e.g. species abundances) for replicate sites within discretely different assemblages. The first technique is a coenocline model based on species' responses to variation modeled by a five-parameter ߭function, where variation in species abundances both within and between assemblages is governed by differences in the positions of sites and assemblages along environmental gradients. The second technique, the resampling method, involves bootstrap resampling of real assemblage datasets, with the addition of selected types of controlled differences between assemblages. Here we use it to generate turnover in species composition. We calibrate both simulation methods based on a field assemblage of bird species. The two different simulation methods portray different levels and types of between-assemblage variation. The resampling method allows greater control over some aspects of assemblage difference (e.g. independently varying differences in species richness and compositional turnover) than the coenocline method. Both can generate usable replicated simulated datasets for assessing the ability of multivariate tests to detect ecological variation among assemblages.No Full Tex
A gazetteer and summary of French pottery imported into Scotland c. 1150 to c. 1650 a ceramic contribution to Scotland's economic history Ceramic Resource Disc 3
No full textThe proposal for a series of published inventories, by countries, of all the imported medieval and post medieval pottery recovered from excavations and field walking in Scotland, was advanced on the final day of the Medieval Pottery Research Group’s conference held in Edinburgh in May 2001. Taking on the roll of creating a gazetteer and catalogue of French pottery in Scotland, it was the authors aim to build on the pioneering work of John Hurst and other medieval ceramicists and in the process make a contribution to the ongoing research on identifiable medieval and post-medieval ceramics traded around the North and Irish Sea
Examination of socio-demographics and job satisfaction in Australian registered nurses
No full textAims and Objectives\ud
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To examine relationships between socio-demographic factors and job satisfaction and to identify if these factors predict job satisfaction levels in an Australian registered nurses.\ud
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Background\ud
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Reports indicate that in Australia there are 30,000 qualified nurses no longer working in the healthcare and that current nursing shortages vary as a result of certain socio-demographic variables including type of nurse, geographic, location, sector, service and organisation. Furthermore it has been revealed that there is not only a real shortage but also a pseudo-shortage (i.e. either there are not enough nurses are available, or not enough are willing to work under existing workplace conditions). International studies have found significant relationships exist between some socio-demographic factors and job satisfaction in registered nurses however there is limited information available on relationships between socio-demographic factors and job satisfaction in nurses in the Australian context.\ud
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Design\ud
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A cross sectional survey was undertaken of Australian registered nurses. \ud
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Methods\ud
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Two thousand Australian registered nurses who were members of an industrial and professional organisation were sent the questionnaire in 2008. They were stratified and randomised according to gender. Six hundred and thirty-nine registered nurses responded. Descriptive analyses, correlation analyses, one- way ANOVA tests, simple linear regression and multivariable analyses were conducted to examine further if any relationships existed between the variables.\ud
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Results\ud
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The majority of respondents showed positive job satisfaction scores. An ANOVA found significant positive relationships existed between job satisfaction, specialty area, health sector and Australian states. Multivariable analyses found relationships existed between specialty area, health sector, and job satisfaction. \ud
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Conclusions\ud
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The variables specialty area and health sector were found to be significantly associated with job satisfaction. The different specialty areas and health sectors in relation to job satisfaction should be investigated further.\ud
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Clinical Relevance\ud
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The study results have provided new knowledge for policy makers, organisational and nursing leaders of the socio-demographic variables that may affect job satisfaction in registered nurses in the Australian context
Intimate immensities
No full textCatalogue of an exhibition held at the SASA Gallery, Adelaide, 18 May-18 June 2010.
Artists and designers: Damien Chwalisz, Matt Davis, Sally Davis, Michael Geissler, Sean Humphries, Rachel Hurst, Jane Lawrence, Katica Pedisic, Sasha Radjenovich, Linda Marie Walker, Phil Walker and Hannah White.The exhibition takes its rationale from the congruence of these (two) themes: ONE: as an exploration /interrogation of simultaneous scales of perception, motivation and operation within architecture and interior architecture, TWO: as an exploration of the everyday as a source for spatial and aesthetic practices.Catalogue essay: Karen Burns
Exhibition notes by curators: Jane Lawrence and Rachel Hurst
Editor: Mary Knights.
Includes bibliographical references
Validity and reliability of instruments designed to measure factors influencing the overuse of antibiotics
No full textBackground: Antibiotic overuse is a global public health issue that is influenced by several factors. The degree and prevalence of antibiotic overuse is difficult to measure directly. A more practical approach, such as the use of a psycho-social measurement instrument, might allow for the observation and assessment of patterns of antibiotic use. \ud
Study objective: The aim of this paper is to review the nature, validity, and reliability of measurement scales designed to measure factors associated with antibiotic misuse/overuse. \ud
Design: This study is descriptive and includes a systematic integration of the measurement scales used in the literature to measure factors associated with antibiotic misuse/overuse. The review included 70 international scientific publications from 1992 to 2010. \ud
Main results: Studies have presented scales to measure antibiotic misuse. However, the workup of these instruments is often not mentioned, or the scales are used with only early-phase validation, such as content or face validity. Other studies have discussed the reliability of these scales. However, the full validation process has not been discussed in any of the reviewed measurement scales. \ud
Conclusion: A reliable, fully validated measurement scale must be developed to assess the factors associated with the overuse of antibiotics. Identifying these factors will help to minimize the misuse of antibiotics
The University Stress Scale: Measuring Domains and Extent of Stress in University Students
No full textObjective\ud
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Excessive stress and poor coping skills can put university students at risk for mental health problems. The University Stress Scale (USS) provides a measure of both the categories of stress experienced by university students as well as the overall intensity of the stress experienced.\ud
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Methods\ud
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This study evaluated the psychometric properties of the USS and its clinical utility. Participants were a convenience cross-sectional sample of 2,596 Australian university students.\ud
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Results\ud
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Exploratory factor analysis provided support for a six-factor model comprising the categories of academic, relationships, equity, parenting, practical, and health. This structure was confirmed using confirmatory factor analysis. The measure had good discriminant and convergent validity and good internal consistency. A cut-off of 13 on the USS indicates students most likely to be experiencing depression and anxiety symptoms as a result of excessive stress. This study used a broad sample of Australian students; however, further replication is needed to confirm the utility of the measure for students in other countries.\ud
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Conclusions\ud
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The total stress score and the categorical breakdown of stressors makes the USS a useful, brief screening measure for clinicians working with university students
Correlation between sample entropy and Hurst exponent, and ROC curves.
No full text<p>(A) Linear regression curve estimation between the mean whole brain sample entropy and mean whole brain Hurst exponent for the whole population. (B) ROC curve for Sample entropy. (C) ROC curve for Hurst exponent.</p
Cryptocurrency market development: Hurst method
No full textThe aim of this work is to study the pricing in the cryptocurrency market and applying cryptocurrencies by the Bank of Russia for its monetary policy. The research objectives are to identify the cyclical nature of price dynamics, to study market maturity and potential risks that have a long-term positive relationship with the financial stability of the cryptocurrency market. The author uses the Hurst method with the Amihud illiquidity measure to study the resistance of four cryptocurrencies (Bitcoin, Litecoin, Ripple and Dash) and their evolution over the past five years. The study results in the author's conclusion that the cryptocurrency market has entered a new stage of development, which means a reduced possibility to have excess profits when investing in the most liquid cryptocurrencies in the future. However, buying new high-risk tools provides opportunities for speculative income. The author concludes that illiquid cryptocurrencies exhibit strong inverse anti-persistence in the form of a low Hurst exponent. A trend investing strategy may help obtain abnormal profits in the cryptocurrency market. The Bank of Russia could partially apply digital currency to implement monetary policy, which would soften the business cycle and control the inflation. If Russia accepts the law ''On Digital Financial Assets'' and legalizes cryptocurrencies after the economic crisis caused by the COVID-19 pandemic, the Bank of Russia might act as a lender of last resort and offer crypto loans. © Mikhailov A. Yu., 202
Cryptocurrency Market Development: Hurst Method
No full textThe aim of this work is to study the pricing in the cryptocurrency market and applying cryptocurrencies by the Bank of Russia for its monetary policy. The research objectives are to identify the cyclical nature of price dynamics, to study market maturity and potential risks that have a long-term positive relationship with the financial stability of the cryptocurrency market. The author uses the Hurst method with the Amihud illiquidity measure to study the resistance of four cryptocurrencies (Bitcoin, Litecoin, Ripple and Dash) and their evolution over the past five years. The study results in the author’s conclusion that the cryptocurrency market has entered a new stage of development, which means a reduced possibility to have excess profits when investing in the most liquid cryptocurrencies in the future. However, buying new high-risk tools provides opportunities for speculative income. The author concludes that illiquid cryptocurrencies exhibit strong inverse anti-persistence in the form of a low Hurst exponent. A trend investing strategy may help obtain abnormal profits in the cryptocurrency market. The Bank of Russia could partially apply digital currency to implement monetary policy, which would soften the business cycle and control the inflation. If Russia accepts the law ‘’On Digital Financial Assets’’ and legalizes cryptocurrencies after the economic crisis caused by the COVID-19 pandemic, the Bank of Russia might act as a lender of last resort and offer crypto loans
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