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The trend away from full-time permanent employment raises questions about the relevance of traditional approaches to managing and compensating employees. Employment in the Australian building industry is characterised by short-term, project-based employment. Employers and unions in the industry have adopted alternative compensation models to accommodate the short-term nature of employment, most notably through portable benefit schemes. In 1997, the Victorian building industry extended the range of portable benefits to include sick leave. Empirical evidence suggests a relationship between employee absence behaviour and accrual entitlement models. Research reported here supports this link, and suggests that both employers and employees can benefit from an alternative, portable, approach to accrued entitlements. Employers can benefit because employees may be less likely to take an instrumental approach to their entitlements. Employees benefit because they are able to accrue entitlements for the period they remain in the building industry, irrespective of the extent to which they change jobs.

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Labour markets, like all market institutions, exhibit structural and dynamic characteristics. Both the structural and dynamic characteristics of labour markets inevitably change and evolve over time in response to a host of exogenous and endogenous factors. In the case of the Australian labour market, structural changes are reflected in significant shifts in the industry and occupational composition of employment, the decline of full-time work and the concomitant rise in part-time and atypical forms of employment, demographic changes in the labour force, as well as changes in social and individual preferences. Dynamic shifts can be found in cyclical pattern of employment and wages growth, the growth in labour mobility, and transitions between various labour market states.
The starting point for this paper is that these structural and dynamic changes have given rise to an increase in the likelihood that individuals will experience a transition between various labour market states, and a greater diversity in the range of transitions they may experience over their working life. This acceleration in the rate of transition generates ‘transition costs’ for both employers and employees, as well the likelihood of mismatch between employer and employee working time preferences. As a consequence, existing labour market policy regimes, based on the traditional model of labour market participation over the life course may not provide adequate protection for most workers today.
Gunther Schmid (1998) and others have proposed institutional reforms which promote ‘transitional labour markets’. Transitional labour market institutions are those that allow individuals (and firms) to successfully adjust to critical events. While transitional labour market institutions may consist of traditional ‘active labour market policy’ mechanisms, Schmid and others have proposed a range of innovative policy responses which allow individuals (and firms) to adjust the intensity of their abour market participation over the life cycle. In this paper we use the general approach of advocated by the transitional labour market concept to do three things. First, we investigate the processes by which the nature of labour market transitions has changed over time. Second, we review the range of policy options available to government to smooth labour market dysfunctions associated with labour market transitions, with the objective of ensuring labour markets operate more efficiently and more equitably. Third, we focus on one possible way in which an existing labour market institution, Long Service Leave (LSL), could be reformed to make way for a more comprehensive transitional labour market institution in the form of a ‘working time bank’.

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We consider the problem of time consistency of the Ramsey monetary and fiscal policies in an economy without capital. Following Lucas and Stokey (1983) we allow the government at date t to leave its successor at t + 1 a profile of real and nominal debt of all maturities, as a way to influence its decisions. We show that the Ramsey policies are time consistent if and only if the Friedman rule is the optimal Ramsey policy.

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Every day, a substantial proportion of the general population experiences the distressing and frightening signs of an upcoming psychiatric illness. The consequences can be enormous because severe psychiatric disorders typically cause the loss of the ability to work and often mean a long-term burden for both the patients and their families. Even though most developed countries have an exceptionally high density of general practitioners and psychiatrists in private practice, getting a mental health appointment and seeing a doctor is often very difficult for patients with acute psychiatric symptoms. This study aimed at quantifying the time delay involved in seeking medical attendance when psychiatric disorders begin to develop.

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Due to ever increasing transportation of people and goods, automatic traffic surveillance is becoming a key issue for both providing safety to road users and improving traffic control in an efficient way. In this paper, we propose a new system that, exploiting the capabilities that both computer vision and machine learning offer, is able to detect and track different types of real incidents on a highway. Specifically, it is able to accurately detect not only stopped vehicles, but also drivers and passengers leaving the stopped vehicle, and other pedestrians present in the roadway. Additionally, a theoretical approach for detecting vehicles which may leave the road in an unexpected way is also presented. The system works in real-time and it has been optimized for working outdoor, being thus appropriate for its deployment in a real-world environment like a highway. First experimental results on a dataset created with videos provided by two Spanish highway operators demonstrate the effectiveness of the proposed system and its robustness against noise and low-quality videos.

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Knowledge of cell electronics has led to their integration to medicine either by physically interfacing electronic devices with biological systems or by using electronics for both detection and characterization of biological materials. In this dissertation, an electrical impedance sensor (EIS) was used to measure the electrode surface impedance changes from cell samples of human and environmental toxicity of nanoscale materials in 2D and 3D cell culture models. The impedimetric response of human lung fibroblasts and rainbow trout gill epithelial cells when exposed to various nanomaterials was tested to determine their kinetic effects towards the cells and to demonstrate the biosensor's ability to monitor nanotoxicity in real-time. Further, the EIS allowed rapid, real-time and multi-sample analysis creating a versatile, noninvasive tool that is able to provide quantitative information with respect to alteration in cellular function. We then extended the application of the unique capabilities of the EIS to do real-time analysis of cancer cell response to externally applied alternating electric fields at different intermediate frequencies and low-intensity. Decreases in the growth profiles of the ovarian and breast cancer cells were observed with the application of 200 and 100 kHz, respectively, indicating specific inhibitory effects on dividing cells in culture in contrast to the non-cancerous HUVECs and mammary epithelial cells. We then sought to enhance the effects of the electric field by altering the cancer cell's electronegative membrane properties with HER2 antibody functionalized nanoparticles. An Annexin V/EthD-III assay and zeta potential were performed to determine the cell death mechanism indicating apoptosis and a decrease in zeta potential with the incorporation of the nanoparticles. With more negatively charged HER2-AuNPs attached to the cancer cell membrane, the decrease in membrane potential would thus leave the cells more vulnerable to the detrimental effects of the applied electric field due to the decrease in surface charge. Therefore, by altering the cell membrane potential, one could possibly control the fate of the cell. This whole cell-based biosensor will enhance our understanding of the responsiveness of cancer cells to electric field therapy and demonstrate potential therapeutic opportunities for electric field therapy in the treatment of cancer.

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Queueing theory is the mathematical study of ‘queue’ or ‘waiting lines’ where an item from inventory is provided to the customer on completion of service. A typical queueing system consists of a queue and a server. Customers arrive in the system from outside and join the queue in a certain way. The server picks up customers and serves them according to certain service discipline. Customers leave the system immediately after their service is completed. For queueing systems, queue length, waiting time and busy period are of primary interest to applications. The theory permits the derivation and calculation of several performance measures including the average waiting time in the queue or the system, mean queue length, traffic intensity, the expected number waiting or receiving service, mean busy period, distribution of queue length, and the probability of encountering the system in certain states, such as empty, full, having an available server or having to wait a certain time to be served.

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Knowledge of cell electronics has led to their integration to medicine either by physically interfacing electronic devices with biological systems or by using electronics for both detection and characterization of biological materials. In this dissertation, an electrical impedance sensor (EIS) was used to measure the electrode surface impedance changes from cell samples of human and environmental toxicity of nanoscale materials in 2D and 3D cell culture models. The impedimetric response of human lung fibroblasts and rainbow trout gill epithelial cells when exposed to various nanomaterials was tested to determine their kinetic effects towards the cells and to demonstrate the biosensor’s ability to monitor nanotoxicity in real-time. Further, the EIS allowed rapid, real-time and multi-sample analysis creating a versatile, noninvasive tool that is able to provide quantitative information with respect to alteration in cellular function. We then extended the application of the unique capabilities of the EIS to do real-time analysis of cancer cell response to externally applied alternating electric fields at different intermediate frequencies and low-intensity. Decreases in the growth profiles of the ovarian and breast cancer cells were observed with the application of 200 and 100 kHz, respectively, indicating specific inhibitory effects on dividing cells in culture in contrast to the non-cancerous HUVECs and mammary epithelial cells. We then sought to enhance the effects of the electric field by altering the cancer cell’s electronegative membrane properties with HER2 antibody functionalized nanoparticles. An Annexin V/EthD-III assay and zeta potential were performed to determine the cell death mechanism indicating apoptosis and a decrease in zeta potential with the incorporation of the nanoparticles. With more negatively charged HER2-AuNPs attached to the cancer cell membrane, the decrease in membrane potential would thus leave the cells more vulnerable to the detrimental effects of the applied electric field due to the decrease in surface charge. Therefore, by altering the cell membrane potential, one could possibly control the fate of the cell. This whole cell-based biosensor will enhance our understanding of the responsiveness of cancer cells to electric field therapy and demonstrate potential therapeutic opportunities for electric field therapy in the treatment of cancer.

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Diffusion equations that use time fractional derivatives are attractive because they describe a wealth of problems involving non-Markovian Random walks. The time fractional diffusion equation (TFDE) is obtained from the standard diffusion equation by replacing the first-order time derivative with a fractional derivative of order α ∈ (0, 1). Developing numerical methods for solving fractional partial differential equations is a new research field and the theoretical analysis of the numerical methods associated with them is not fully developed. In this paper an explicit conservative difference approximation (ECDA) for TFDE is proposed. We give a detailed analysis for this ECDA and generate discrete models of random walk suitable for simulating random variables whose spatial probability density evolves in time according to this fractional diffusion equation. The stability and convergence of the ECDA for TFDE in a bounded domain are discussed. Finally, some numerical examples are presented to show the application of the present technique.

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The time for conducting Preventive Maintenance (PM) on an asset is often determined using a predefined alarm limit based on trends of a hazard function. In this paper, the authors propose using both hazard and reliability functions to improve the accuracy of the prediction particularly when the failure characteristic of the asset whole life is modelled using different failure distributions for the different stages of the life of the asset. The proposed method is validated using simulations and case studies.