776 resultados para log measuring


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safefood has published a briefing document 'Measuring Food Poverty in Ireland - the indicator and its implications'. This briefing was based on researchcommissioned by the Department of Social Protection, as part of the Department’s research programme to monitor poverty trends with the ESRI. Their report ’Constructing a Food Poverty Indicator for Ireland using the Survey on Income and Living Conditions’ (Carney, C; Maitre, B; Department of Social Protection) uses data from the annual CSO Survey on Income and Living Conditions (SILC), providing a first step in measuring the experience of food poverty in Ireland by combining three food deprivation items to quantify the level of food poverty today.

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OBJECTIVE: In general population survey instruments that measure volume of drinking, additional questions and shorter reference periods yield higher volumes. Comparison studies have focused on volume but not on associations between volume and consequences. METHOD: From a cohort study on substance use risk factors (Cohort Study on Substance Use Risk Factors [C-SURF]), baseline data were analyzed for 5,074 young (approximately 20-year-old) men who were drinkers in the past 12 months. Volume of drinking was measured by a generic quantity-frequency (QF) instrument, an extended QF (separately for weekends and weekdays) instrument with 12-months recall, and a retrospective past-week diary. Associations of consequences with and without attribution of alcohol as a cause, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), criteria for dependence, and DSM-5 alcohol use disorder in the past 12 months were analyzed. RESULTS: The generic QF measure resulted in lower volume compared with either the extended QF measure (more questions) or the retrospective diary (the most questions and the shortest recall period). For outcomes, however, the extended QF assessment performed the best and the diary the worst. CONCLUSIONS: Higher volume yields are not always better regarding associations with outcomes. The extended QF instrument better captures the variability of drinking. The retrospective diary performs poorly for associations because of the mismatch with the recall period for past-12-months consequences and the potential for misclassification of past-week abstainers and heavy drinkers because of an uncommon past week. Diaries are not recommended for research investigating individual associations between exposure and outcomes in young populations if consequences are measured with a sufficiently long interval to capture rare consequences. (J. Stud. Alcohol Drugs, 75, 880-888, 2014).

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This report reviews various measures of deprivation in order to be able to monitor socio-economic inequalities in cancer incidence, survival and service provision in the future.

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Measuring impact is the third in a series of publications commissioned by the Health Development Agency from the mid-life programme of work, which seeks to improve the health and wellbeing of people in the mid-life age group and reduce inequalities. The publications Making the case (HDA, 2003) and Taking action (HDA, 2004), and now Measuring impact, aim to support practitioners and policy makers at a local level in implementing and using the evidence of what works to develop mainstream practice and influence policy formulation in this population group.

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Exploring and using summary measures of inequality often used in economics such as Gini Coefficients and Theil Index to summarise and compare intra-PCT health inequalities

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This briefing has been put together by Eastern Region PHO outlining how to measure and monitor health inequalities in a local area, such as a primary care trust (PCT) or a local authority. It has been designed to help support action to tackle health inequalities in new NHS organisations and for Local Area Agreements (LAAs). Click on the link to view the document.

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Aquest projecte permetrà aprofundir en el coneixement de l'estructura de funcionament del PL/SQL d'Oracle (crides a procediments i, especialment, tractament d'excepcions), en la utilització de JDBC com a mecanisme de comunicació entre JAVA i Oracle, i en l'ús de les classes de generació d'interfícies gràfiques d'usuari (swing) i, a més, permetrà posar en pràctica funcionalitats d'Oracle que no havia tingut oportunitat d'emprar, com ara tipus genèrics de dades, objectes persistents o transaccions autònomes.

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INTRODUCTION: Numerous instruments have been developed to assess spirituality and measure its association with health outcomes. This study's aims were to identify instruments used in clinical research that measure spirituality; to propose a classification of these instruments; and to identify those instruments that could provide information on the need for spiritual intervention. METHODS: A systematic literature search in MEDLINE, CINHAL, PsycINFO, ATLA, and EMBASE databases, using the terms "spirituality" and "adult$," and limited to journal articles was performed to identify clinical studies that used a spiritual assessment instrument. For each instrument identified, measured constructs, intended goals, and data on psychometric properties were retrieved. A conceptual and a functional classification of instruments were developed. RESULTS: Thirty-five instruments were retrieved and classified into measures of general spirituality (N = 22), spiritual well-being (N = 5), spiritual coping (N = 4), and spiritual needs (N = 4) according to the conceptual classification. Instruments most frequently used in clinical research were the FACIT-Sp and the Spiritual Well-Being Scale. Data on psychometric properties were mostly limited to content validity and inter-item reliability. According to the functional classification, 16 instruments were identified that included at least one item measuring a current spiritual state, but only three of those appeared suitable to address the need for spiritual intervention. CONCLUSIONS: Instruments identified in this systematic review assess multiple dimensions of spirituality, and the proposed classifications should help clinical researchers interested in investigating the complex relationship between spirituality and health. Findings underscore the scarcity of instruments specifically designed to measure a patient's current spiritual state. Moreover, the relatively limited data available on psychometric properties of these instruments highlight the need for additional research to determine whether they are suitable in identifying the need for spiritual interventions.

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It is well known that dichotomizing continuous data has the effect to decrease statistical power when the goal is to test for a statistical association between two variables. Modern researchers however are focusing not only on statistical significance but also on an estimation of the "effect size" (i.e., the strength of association between the variables) to judge whether a significant association is also clinically relevant. In this article, we are interested in the consequences of dichotomizing continuous data on the value of an effect size in some classical settings. It turns out that the conclusions will not be the same whether using a correlation or an odds ratio to summarize the strength of association between the variables: Whereas the value of a correlation is typically decreased by a factor pi/2 after each dichotomization, the value of an odds ratio is at the same time raised to the power 2. From a descriptive statistical point of view, it is thus not clear whether dichotomizing continuous data leads to a decrease or to an increase in the effect size, as illustrated using a data set to investigate the relationship between motor and intellectual functions in children and adolescents

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Abstract: Traditionally, pollution risk assessment is based on the measurement of a pollutant's total concentration in a sample. The toxicity of a given pollutant in the environment, however, is tightly linked to its bioavailability, which may differ significantly from the total amount. Physico-chemical and biological parameters strongly influence pollutant fate in terms of leaching, sequestration and biodegradation. Bacterial sensorreporters, which consist of living micro-organisms genetically engineered to produce specific output in response to target chemicals, offer an interesting alternative to monitoring approaches. Bacterial sensor-reporters detect bioavailable and/or bioaccessible compound fractions in samples. Currently, a variety of environmental pollutants can be targeted by specific biosensor-reporters. Although most of such strains are still confined to the lab, several recent reports have demonstrated utility of bacterial sensing-reporting in the field, with method detection limits in the nanomolar range. This review illustrates the general design principles for bacterial sensor-reporters, presents an overview of the existing biosensor-reporter strains with emphasis on organic compound detection. A specific focus throughout is on the concepts of bioavailability and bioaccessibility, and how bacteria-based sensing-reporting systems can help to improve our basic understanding of the different processes at work.

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We compare correspondance análisis to the logratio approach based on compositional data. We also compare correspondance análisis and an alternative approach using Hellinger distance, for representing categorical data in a contingency table. We propose a coefficient which globally measures the similarity between these approaches. This coefficient can be decomposed into several components, one component for each principal dimension, indicating the contribution of the dimensions to the difference between the two representations. These three methods of representation can produce quite similar results. One illustrative example is given

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Sediment composition is mainly controlled by the nature of the source rock(s), and chemical (weathering) and physical processes (mechanical crushing, abrasion, hydrodynamic sorting) during alteration and transport. Although the factors controlling these processes are conceptually well understood, detailed quantification of compositional changes induced by a single process are rare, as are examples where the effects of several processes can be distinguished. The present study was designed to characterize the role of mechanical crushing and sorting in the absence of chemical weathering. Twenty sediment samples were taken from Alpine glaciers that erode almost pure granitoid lithologies. For each sample, 11 grain-size fractions from granules to clay (ø grades &-1 to &9) were separated, and each fraction was analysed for its chemical composition.The presence of clear steps in the box-plots of all parts (in adequate ilr and clr scales) against ø is assumed to be explained by typical crystal size ranges for the relevant mineral phases. These scatter plots and the biplot suggest a splitting of the full grain size range into three groups: coarser than ø=4 (comparatively rich in SiO2, Na2O, K2O, Al2O3, and dominated by “felsic” minerals like quartz and feldspar), finer than ø=8 (comparatively rich in TiO2, MnO, MgO, Fe2O3, mostly related to “mafic” sheet silicates like biotite and chlorite), and intermediate grains sizes (4≤ø &8; comparatively rich in P2O5 and CaO, related to apatite, some feldspar).To further test the absence of chemical weathering, the observed compositions were regressed against three explanatory variables: a trend on grain size in ø scale, a step function for ø≥4, and another for ø≥8. The original hypothesis was that the trend could be identified with weathering effects, whereas each step function would highlight those minerals with biggest characteristic size at its lower end. Results suggest that this assumption is reasonable for the step function, but that besides weathering some other factors (different mechanical behavior of minerals) have also an important contribution to the trend.Key words: sediment, geochemistry, grain size, regression, step function

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MYK and EF-M are members of the Medical Advisory Board, Pulsion Medical Systems. Approximately 25% of the total expenses to two of the studies upon which this letter is based has been reimbursed by Pulsion Medical Systems, Munich, Germany.

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Extracción de conocimiento de los log generados por un servidor web aplicando técnicas de minería de datos.