986 resultados para projections


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Purpose – The paper attempts to project the future trend of the gender wage gap in Great Britain up to 2031.
Design/methodology/approach – The empirical analysis utilises the British Household Panel Study Wave F together with Office for National Statistics (ONS) demographic projections. The methodology combines the ONS projections with assumptions relating to the evolution of educational attainment in order to project the future distribution of human capital skills and consequently the future size of the gender wage gap.
Findings – The analysis suggests that gender wage convergence will be slow, with little female progress by 2031 unless there is a large rise in returns to female experience.
Originality/value – The paper has projected the pattern of male and female skill acquisition together with the associated trend in wages up to 2031.

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An analysis of DEST statistical data on nursing education had suggested that there were issues with the classification of undergraduate data and new initiatives, such as combined degrees, which were poorly captured. This project had two distinct aims. First, to explore and map exhaustively the range of undergraduate programs offered by tertiary education providers across Australia leading to an initial qualification and entry into nursing practice. Second, to explore and map in detail specialist nursing education courses offered by tertiary and other education providers across Australia. This research was funded under the Evaluations and Investigations Programme (EIP).

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The present study was commissioned for the National Review of Nursing Education. This is the second of two national studies commissioned to map in detail nursing education programs and to profile and make future projections regarding graduates from undergraduate and postgraduate nursing education courses in Australia.

The first study was undertaken in 2001 by Deakin University School of Nursing under the auspices of the 2001 Evaluation Investigations Project titled "Nursing Education and Graduates: Profiles for 1999, and 2000 with projections for 2001". This project sought data on nursing education within Australia in order to improve the accuracy of nursing education databases and to strengthen the ability of DETYA to provide advice on workforce planning. Issues that arose from that project included differences in data sets for undergraduate nursing courses in Australia and the complex process of attempting to tease out and accurately quantify postgraduate specialty courses when a trend towards postgraduate generic courses was evident. Approximately 26% of postgraduate domestic student enrolment data were reported utilising a generic nursing course category.

The purpose of this study was, therefore, twofold. Firstly, this study validated and extended the existing database developed in the previous study mapping in detail the full range of undergraduate programs offered by tertiary education providers across Australia that lead to an initial qualification and entry into nursing practice.

New data about the following was sought:

* Undergraduate nursing degrees (both three-year and four-year courses);
* Double/combined nursing degrees;
* Courses offered by private universities;
* Four-year bachelor degrees that concurrently provide both initial nurse registration and preparation for specialty nursing practice;
* Courses that facilitate ‘fast-tracking’ of students for initial nurse registration with previous tertiary or nursing studies,
* Hours and configuration of clinical experience in undergraduate nursing courses.

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This project is the second of two projects commissioned by the Nurse Policy Branch, Victorian Department of Human Services (VDHS). The project investigated nursing education at the undergraduate and postgraduate levels in the university sector and in the VET sector. The data gathered from the project provided VDHS with a better understanding of nurse labour force issues.

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Stress compromises reproductive function and the major physiological system activated during stress is the hypothalamo-pituitary-adrenal axis. Corticotrophin-releasing hormone and arginine vasopressin (AVP), which are produced in neurones of the paraventricular nucleus (PVN), drive the hypothalamo-pituitary-adrenal axis and are also implicated in the suppression of the reproductive axis. We used retrograde tracing and Fos labelling to map the projections from the PVN to the preoptic area (POA) where most gonadotrophin releasing hormone (GnRH) neurones are found. Fluorogold (FG) injections were made into the POA of gonadectomised male and female sheep (n = 5/sex), the animals were stressed and the brains recovered for histochemistry. All animals responded to stress with an increase in the number of Fos-labelled nuclei in the PVN. Few retrogradely labelled cells of the PVN were activated by stress. Dual labelling showed that very few FG-labelled cells also stained for corticotrophin-releasing hormone, none for AVP or enkephalin. Dual labelling for FG and Fos in the bed nucleus of the stria terminalis (BNST) and the arcuate nucleus showed that no FG-labelled cells in the BNST and only few in the ARC were activated by stress. No sex differences were observed in the activation of FG-labelled cells in any of the nuclei examined. We conclude that, although cells of the PVN, BNST and/or arcuate nucleus may affect reproduction via the GnRH cells of the POA, this is unlikely to involve direct input to the POA. If cells of these regions are involved in GnRH suppression during stress, this may occur via interneuronal pathways.

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Climate change has resulted in substantial variations in annual extreme rainfall quantiles in different durations and return periods. Predicting the future changes in extreme rainfall quantiles is essential for various water resources design, assessment, and decision making purposes. Current Predictions of future rainfall extremes, however, exhibit large uncertainties. According to extreme value theory, rainfall extremes are rather random variables, with changing distributions around different return periods; therefore there are uncertainties even under current climate conditions. Regarding future condition, our large-scale knowledge is obtained using global climate models, forced with certain emission scenarios. There are widely known deficiencies with climate models, particularly with respect to precipitation projections. There is also recognition of the limitations of emission scenarios in representing the future global change. Apart from these large-scale uncertainties, the downscaling methods also add uncertainty into estimates of future extreme rainfall when they convert the larger-scale projections into local scale. The aim of this research is to address these uncertainties in future projections of extreme rainfall of different durations and return periods. We plugged 3 emission scenarios with 2 global climate models and used LARS-WG, a well-known weather generator, to stochastically downscale daily climate models’ projections for the city of Saskatoon, Canada, by 2100. The downscaled projections were further disaggregated into hourly resolution using our new stochastic and non-parametric rainfall disaggregator. The extreme rainfall quantiles can be consequently identified for different durations (1-hour, 2-hour, 4-hour, 6-hour, 12-hour, 18-hour and 24-hour) and return periods (2-year, 10-year, 25-year, 50-year, 100-year) using Generalized Extreme Value (GEV) distribution. By providing multiple realizations of future rainfall, we attempt to measure the extent of total predictive uncertainty, which is contributed by climate models, emission scenarios, and downscaling/disaggregation procedures. The results show different proportions of these contributors in different durations and return periods.

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Image restoration attempts to enhance images corrupted by noise and blurring effects. Iterative approaches can better control the restoration algorithm in order to find a compromise of restoring high details in smoothed regions without increasing the noise. Techniques based on Projections Onto Convex Sets (POCS) have been extensively used in the context of image restoration by projecting the solution onto hyperspaces until some convergence criteria be reached. It is expected that an enhanced image can be obtained at the final of an unknown number of projections. The number of convex sets and its combinations allow designing several image restoration algorithms based on POCS. Here, we address two convex sets: Row-Action Projections (RAP) and Limited Amplitude (LA). Although RAP and LA have already been used in image restoration domain, the former has a relaxation parameter (A) that strongly depends on the characteristics of the image that will be restored, i.e., wrong values of A can lead to poorly restoration results. In this paper, we proposed a hybrid Particle Swarm Optimization (PS0)-POCS image restoration algorithm, in which the A value is obtained by PSO to be further used to restore images by POCS approach. Results showed that the proposed PSO-based restoration algorithm outperformed the widely used Wiener and Richardson-Lucy image restoration algorithms. (C) 2010 Elsevier B.V. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The trabecular projections of the human superior sagittal sinus were classified into types and subtypes according to spatial arrangement and shape. The horizontal and vertical projections direct laminar blood flow, while the conic type, which is avalvular, protects the openings of the superior cerebral veins in the superior sagittal sinus. Copyright (C) 2003 S. Karger AG, Basel.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)