935 resultados para Tenure of Guarantee


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Acquiring a disability in adulthood is associated with a reduction in mental health and access to secure and affordable housing is associated with better mental health. We hypothesised that the association between acquisition of disability and mental health is modified by housing tenure and affordability. We used twelve annual waves of data (2001-2012) (1913 participants, 13,037 observations) from the Household, Income and Labour Dynamics in Australia survey. Eligible participants reported at least two consecutive waves of disability preceded by two consecutive waves without disability. Effect measure modification, on the additive scale, was tested in three fixed-effects linear regression models (which remove time-invariant confounding) which included a cross-product term between disability and prior housing circumstances: housing tenure by disability; housing affordability by disability and, in a sub-sample (896 participants 5913 observations) with housing costs, tenure/affordability by disability. The outcome was the continuous mental component summary (MCS) of SF-36. Models adjusted for time-varying confounders. There was statistical evidence that prior housing modified the effect of disability acquisition on mental health. Our findings suggested that those in affordable housing had a -1.7 point deterioration in MCS (95% CI -2.1, -1.3) following disability acquisition and those in unaffordable housing had a -4.2 point reduction (95% CI -5.2, -1.4). Among people with housing costs, the largest declines in MCS were for people with unaffordable mortgages (-5.3, 95% CI -8.8, -1.9) and private renters in unaffordable housing (-4.0, 95% CI -6.3, -1.6), compared to a -1.4 reduction (95% CI -2.1, -0.7) for mortgagors in affordable housing. In sum, we used causally-robust fixed-effects regression and showed that deterioration in mental health following disability acquisition is modified by prior housing circumstance with the largest negative associations found for those in unaffordable housing. Future research should test whether providing secure, affordable housing when people acquire a disability prevents deterioration in mental health.

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Despite being typically represented and managed under the same policy umbrella, fishers face different challenges than do their farming counterparts. This paper unpacks the findings of research depicting poor levels of mental health and well-being among Australian commercial wild-catch fishers. The research is considered in the context of widespread acceptance that farmers tend to exhibit worse than average mental health outcomes due, at least in part, to the environmental uncertainties of climate change. In particular it is stressed that the insecurity of fishing concessions (quota and licenses), is a key driver of chronic livelihood insecurity, resulting in reports of stress, depression and suicide. A call is made for the separation of health research in the fishing and farming industries. Importantly, the role that tenure insecurity plays in the perpetuation of poor mental health among fishers should be acknowledged and addressed so that the fishing industry can maximize the strength of its human capital.

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This study examines the effect of directors’ human and social capital (i.e. board capital) on the level of corporate social responsibility (CSR) disclosures by drawing on insights from a resource-based view. It also investigates the effect of chief executive officer (CEO) power on this relationship. Data were obtained from annual reports of companies listed on the Dhaka Stock Exchange in Bangladesh from 2005 to 2013. We employ outside directors’ experiences and expertise as a proxy for board capital and measure CEO power using a ‘power index’ that comprises CEO duality, ownership, tenure and family CEO status. Results show that board capital is positively associated with CSR disclosure levels; however, CEO power is negatively associated with CSR disclosures and reduces the effect of board capital on CSR disclosures. Thus, we conclude that although board capital can improve CSR practices, CEO power can also inhibit these practices.

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BACKGROUND: This article provides a qualitative account of four models of support for adults with intellectual disability in individual supported living (ISL) arrangements. MATERIALS AND METHODS: Completion of the first 50 evaluations of 150 arrangements for the third phase of the ISL project provided the examples. RESULTS: Four approaches are described: living alone, co-residency, relationship and host family. Within each type, wide variations occur particularly based on security of tenure, formal and informal support and management variations. CONCLUSION: Fifty evaluations so far illustrated a wide range of approaches to ISL, providing evidence of the critical importance of the formal and informal support environment and reinforcing the contention that ISL is appropriate for people with high support needs.

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Undergraduate engineering programs require final year students to complete capstone final year projects and demonstrate that they can integrate knowledge, skills and professional graduate attributes developed during the program at Australian Qualification Framework, level 8 (AQF8) outcomes. Literature shows that currently there is no guarantee of consistency for curriculum, supervision and assessment practices of FYEPs. Practices differ greatly between universities and littlework has been initiated that seeks to identify good practice, highlighting the need for the development of guidelines for curriculum, supervision and assessment of FYEPs. This workshop is designed to share and disseminate the good practice guidelines that have been developed on curriculum, supervision and assessment of Final Year Engineering Projects as a part of phase 2 of the project ‘Assessing Final Year Engineering Projects (FYEPs): Ensuring Learning and Teaching Standards and AQF8 Outcomes’ funded by the Australian Office for Learning and Teaching (OLT) with people working in the area of FYEPs. The guidelines typically apply to four year undergraduate engineering degrees with embedded Honours and support achievement of AQF8learning outcomes. The project team has 7 partner Universities – Central Queensland University (the lead), University of Technology Sydney, University of Adelaide, Curtin University, Deakin University, University of Tasmania and RMIT University.Participants will be invited to reflect on and evaluate guidelines and findings derived from FYEP coordinators, supervisors and the wider literature and to consider the ways in which these findings might lead to improvements in their practice.

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This paper presents an application of Wavelet Transfonn (WT) for determination of stress wave velocity for Non-destructive Testing of timber utility poles in service. For surface Non-destructive Testing (NDT), the hammer impact, which produces generally broadband frequency excitation, is used to generate stress wave. Moreover, due to practicality the impact location for field testing of a utility pole is on the side of the pole and 1.5 m above ground level. And the geometry of utility pole could not guarantee non-dispersive longitudinal wave. All of these issues have resulted in lack of accuracy and reliability of results from surface NDT in field testing. In recognition of such problem, this research explores methods to reliably calculate desired wave velocity by isolating wave mode and studying dispersive nature of utility pole. Fast Fourier Transfonn (FFT) is firstly conducted to determine the suitable frequency from a stress wave data. Then WT is applied on the wave data mentioned to perfonn time-frequency analysis. Velocity can be detennined by time history data of desired frequency from WT results which will be compared with the available analytical solution for longitudinal wave velocity. The results of the investigation showed that wavelet transfonn analysis can be a reliable signal processing tool for non-destructive testing in tenns of velocity detennination, which in tum also helps to detennine the embedded length of the timber pole.

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In this study, the accuracy and reliability of fully nonlinear method against equivalent linear method for dynamic analysis of soil-structure interaction is investigated comparing the predicted results of both numerical procedures with the results of experimental shaking table tests. An enhanced numerical soil-structure model has been developed which treats the behaviour of the soil and the structure with equal rigour. The soil-structural model comprises a 15 storey structural model resting on a soft soil inside a laminar soil container. The structural model was analysed under three different conditions: (i) fixed base model performing conventional time history dynamic analysis, (ii) flexible base model (considering full soil-structure interaction) conducting equivalent linear dynamic analysis, and (iii) flexible base model performing fully nonlinear dynamic analysis. The results of the above mentioned three cases in terms of lateral storey deflections and inter-storey drifts are determined and compared with the experimental results of shaking table tests. Comparing the experimental results with the numerical analysis predictions, it is noted that equivalent linear method of dynamic analysis underestimates the inelastic seismic response of mid-rise moment resisting building frames resting on soft soils in comparison to the fully nonlinear dynamic analysis method. Thus, inelastic design procedure, using equivalent linear method, cannot adequately guarantee the structural safety for mid-rise building frames resting on soft soils. However, results obtained from the fully nonlinear method of analysis fit the experimental results reasonably well. Therefore, this method is recommended to be used by practicing engineers.

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n decentralised rural electrification through solar home systems, private companies and promoting institutions are faced with the problem of deploying maintenance structures to operate and guarantee the service of the solar systems for long periods (ten years or more). The problems linked to decentralisation, such as the dispersion of dwellings, difficult access and maintenance needs, makes it an arduous task. This paper proposes an innovative design tool created ad hoc for photovoltaic rural electrification based on a real photovoltaic rural electrification program in Morocco as a special case study. The tool is developed from a mathematical model comprising a set of decision variables (location, transport, etc.) that must meet certain constraints and whose optimisation criterion is the minimum cost of the operation and maintenance activity assuming an established quality of service. The main output of the model is the overall cost of the maintenance structure. The best location for the local maintenance headquarters and warehouses in a given region is established, as are the number of maintenance technicians and vehicles required.

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Assessment processes are essential to guarantee quality and continuous improvement of software in healthcare, as they measure software attributes in their lifecycle, verify the degree of alignment between the software and its objectives and identify unpredicted events. This article analyses the use of an assessment model based on software metrics for three healthcare information systems from a public hospital that provides secondary and tertiary care in the region of Ribeirão Preto. Compliance with the metrics was investigated using questionnaires in guided interviews of the system analysts responsible for the applications. The outcomes indicate that most of the procedures specified in the model can be adopted to assess the systems that serves the organization, particularly in the attributes of compatibility, reliability, safety, portability and usability.

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In this study 15 hazelnut varieties existing in a collection of Viseu Agricultural Station were evaluated. The nuts were studied in respect of their morphological characteristics, such as fruit and kernel weight, index of compression and of shape and shell thickness. The study was complemented with analysis of physical properties such as colour and texture, and the determination of moisture content and water activity, given the importance that these parameters take in the conservation capacity of the fruits. All experiments followed standard methods, being also used the following equipment: texturometer, colorimeter and hygrometer. The results obtained allowed to know the expectable ranges for each color parameters in the shell, film and kernels: L*, a*, b* chroma and hue, having been found statistically significant differences among the cultivars studied. As regards the textural parameters evaluated by crust crushing and crumb cutting tests (hardness, friability and resilience) there were also significant differences. Evaluation of moisture was of great importance because confirmed that the solar drying, used to extract the excess of moisture from the fruits, was sufficient to reach low values, between 1.66% and 4.52%, being so a guarantee of preservation.

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The expression of a gene from transcription of the DNA into pre-messenger RNA (pre-mRNA) over translation of messenger RNA (mRNA) into protein is constantly monitored for errors. This quality control is necessary to guarantee successful gene expression. One quality control mechanism important to this thesis is called nonsense-mediated mRNA decay (NMD). NMD is a cellular process that eliminates mRNA transcripts harboring premature translation termination codons (PTCs). Furthermore, NMD is known to regulate certain transcripts with long 3′ UTRs. However, some mRNA transcripts are known to evade NMD. The mechanism of NMD activation has been subjected to many studies whereas NMD evasion or suppression still remains rather elusive. It has previously been shown that the cytoplasmic poly(A)-binding protein (PABPC1) is able to suppress NMD of certain transcripts. In this study I show that PABPC1 is able to suppress NMD of a long 3′ UTR-carrying reporter when tethered immediately downstream of the termination codon. I further am able to show the importance of the interaction between PABPC1 and eIF4G for NMD suppression, whereas the interaction between PABPC1 and eRF3a seems dispensable. These results indicate an involvement of efficient translation termination and potentially ribosome recycling in NMD suppression. I am able to show that if PABPC1 is too far removed from the terminating ribosome NMD is activated. After showing the importance of PABPC1 recruitment directly downstream of a terminating ribosome in NMD suppression, I am further able to demonstrate several different methods by which PABPC1 can be recruited. Fold-back of the poly(A)-tail mediated by two interacting proteins on opposite ends of a 3′ UTR manages to bring PABPC1 bound to the poly(A)-tail into close proximity of the terminating ribosome and therefore suppress NMD. Furthermore, small PAM2 peptides that are known to interact with the MLLE domain of PABPC1 are able to strongly suppress NMD initiated by either a long 3′ UTR or an EJC. I am also able to show the NMD antagonizing power of recruited PABPC1 for the known endogenous NMD target β-globin PTC39, which is responsible for the disease β-thalassemia. This shows the potential medical implications and application of suppressing NMD by recruiting PABPC1 into close proximity of a terminating ribosome.

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This thesis is concerned with change point analysis for time series, i.e. with detection of structural breaks in time-ordered, random data. This long-standing research field regained popularity over the last few years and is still undergoing, as statistical analysis in general, a transformation to high-dimensional problems. We focus on the fundamental »change in the mean« problem and provide extensions of the classical non-parametric Darling-Erdős-type cumulative sum (CUSUM) testing and estimation theory within highdimensional Hilbert space settings. In the first part we contribute to (long run) principal component based testing methods for Hilbert space valued time series under a rather broad (abrupt, epidemic, gradual, multiple) change setting and under dependence. For the dependence structure we consider either traditional m-dependence assumptions or more recently developed m-approximability conditions which cover, e.g., MA, AR and ARCH models. We derive Gumbel and Brownian bridge type approximations of the distribution of the test statistic under the null hypothesis of no change and consistency conditions under the alternative. A new formulation of the test statistic using projections on subspaces allows us to simplify the standard proof techniques and to weaken common assumptions on the covariance structure. Furthermore, we propose to adjust the principal components by an implicit estimation of a (possible) change direction. This approach adds flexibility to projection based methods, weakens typical technical conditions and provides better consistency properties under the alternative. In the second part we contribute to estimation methods for common changes in the means of panels of Hilbert space valued time series. We analyze weighted CUSUM estimates within a recently proposed »high-dimensional low sample size (HDLSS)« framework, where the sample size is fixed but the number of panels increases. We derive sharp conditions on »pointwise asymptotic accuracy« or »uniform asymptotic accuracy« of those estimates in terms of the weighting function. Particularly, we prove that a covariance-based correction of Darling-Erdős-type CUSUM estimates is required to guarantee uniform asymptotic accuracy under moderate dependence conditions within panels and that these conditions are fulfilled, e.g., by any MA(1) time series. As a counterexample we show that for AR(1) time series, close to the non-stationary case, the dependence is too strong and uniform asymptotic accuracy cannot be ensured. Finally, we conduct simulations to demonstrate that our results are practically applicable and that our methodological suggestions are advantageous.

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This study considers a novel application of electric vehicles (EVs) to quickly help reheated thermal turbine units to provide the stability fluctuated by load demands. A mathematical model of a power system with EVs is first derived. This model contains the dynamic interactions of EVs and multiple network-induced time delays. Then, a dynamic output feedback H∞ controller for load frequency control of power systems with multiple time delays in the control input is proposed. To address the multiple time delays issue, a refined Jensen-based inequality, which encompasses the Jensen inequality, is used to derive less conservative synthesis conditions in terms of tractable linear matrix inequalities. A procedure is given to parameterise an output feedback controller to guarantee stability and H∞ performance of the closed-loop system. Extensive simulations are conducted to validate the proposed control method.

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The proliferation of cloud computing allows users to flexibly store, re-compute or transfer large generated datasets with multiple cloud service providers. However, due to the pay-As-you-go model, the total cost of using cloud services depends on the consumption of storage, computation and bandwidth resources which are three key factors for the cost of IaaS-based cloud resources. In order to reduce the total cost for data, given cloud service providers with different pricing models on their resources, users can flexibly choose a cloud service to store a generated dataset, or delete it and choose a cloud service to regenerate it whenever reused. However, finding the minimum cost is a complicated yet unsolved problem. In this paper, we propose a novel algorithm that can calculate the minimum cost for storing and regenerating datasets in clouds, i.e. whether datasets should be stored or deleted, and furthermore where to store or to regenerate whenever they are reused. This minimum cost also achieves the best trade-off among computation, storage and bandwidth costs in multiple clouds. Comprehensive analysis and rigid theorems guarantee the theoretical soundness of the paper, and general (random) simulations conducted with popular cloud service providers' pricing models demonstrate the excellent performance of our approach.

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The crucial role of networking in Cloud computing calls for federated management of both computing and networkin resources for end-To-end service provisioning. Application of the Service-Oriented Architecture (SOA) in both Cloud computing an networking enables a convergence of network and Cloud service provisioning. One of the key challenges to high performanc converged network-Cloud service provisioning lies in composition of network and Cloud services with end-To-end performanc guarantee. In this paper, we propose a QoS-Aware service composition approach to tackling this challenging issue. We first present system model for network-Cloud service composition and formulate the service composition problem as a variant of Multi-Constraine Optimal Path (MCOP) problem. We then propose an approximation algorithm to solve the problem and give theoretical analysis o properties of the algorithm to show its effectiveness and efficiency for QoS-Aware network-Cloud service composition. Performanc of the proposed algorithm is evaluated through extensive experiments and the obtained results indicate that the proposed metho achieves better performance in service composition than the best current MCOP approaches Service (QoS).