89 resultados para network modeling


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Castells argues that society is being reconstituted according to the global logic of networks. This paper discusses the ways in which a globalised network logic transforms the nature young people's transitions from school to work. Furthermore, the paper explores the ways in which this network logic restructured the manner in which youth transitions are managed via the emergence of a Vocational Education and Training (VET) agenda in Australian post compulsory secondary schooling. It also notes the implications of the emergence of the 'network society' for locality generally and for selected localities specific to the research upon which this paper is based. It suggests that schools represent nodes in a range of VET and other networks, and shows how schools and other agencies in particular localities mobilise their expertise to construct such networks. These networks are networked, funded and regulated at various levels - regionally, nationally and globally. But, they are also facilitated by personal networking opportunities and capacities. The paper also points to the ways in which the 'reflexivity chances' of young people are shaped by this network logic - a situation that generates new forms of responsibility, for schools and teachers, with regard to the management of youth transitions.

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While young women have been found to be at additional risk for psychological morbidity after a breast cancer diagnosis, their specific needs in relation to support are not well described. A community development approach was utilized to develop the Young Women's Network, a peer support programme for young women who have been diagnosed with breast cancer that addresses their specific psychological and social needs, Central to this approach was the key role of the target group in both the definition of the problem and the generation of the solutions. This article describes the steps involved in developing this programme and guidelines for health professionals and community members who may wish to replicate either the Young Women's Network or this particular approach to programme development. Copyright (C), 2001 John Wiley & Sons, Ltd.

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The diffusion model for percutaneous absorption is developed for the specific case of delivery to the skin being limited by the application of a finite amount of solute. Two cases are considered; in the first, there is an application of a finite donor (vehicle) volume, and in the second, there are solvent-deposited solids and a thin vehicle with a high partition coefficient. In both cases, the potential effect of an interfacial resistance at the stratum corneum surface is also considered. As in the previous paper, which was concerned with the application of a constant donor concentration, clearance limitations due to the viable eqidermis, the in vitro sampling rate, or perfusion rate in vivo are included. Numerical inversion of the Laplace domain solutions was used for simulations of solute flux and cumulative amount absorbed and to model specific examples of percutaneous absorption of solvent-deposited solids. It was concluded that numerical inversions of the Laplace domain solutions for a diffusion model of the percutaneous absorption, using standard scientific software (such as SCIENTIST, MicroMath Scientific software) on modern personal computers, is a practical alternative to computation of infinite series solutions. Limits of the Laplace domain solutions were used to define the moments of the flux-time profiles for finite donor volumes and the slope of the terminal log flux-time profile. The mean transit time could be related to the diffusion time through stratum corneum, viable epidermal, and donor diffusion layer resistances and clearance from the receptor phase. Approximate expressions for the time to reach maximum flux (peak time) and maximum flux were also derived. The model was then validated using reported amount-time and flux-time profiles for finite doses applied to the skin. It was concluded that for very small donor phase volume or for very large stratum corneum-vehicle partitioning coefficients (e.g., for solvent deposited solids), the flux and amount of solute absorbed are affected by receptor conditions to a lesser extent than is obvious for a constant donor constant donor concentrations. (C) 2001 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 90:504-520, 2001.

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The goal of the current study was to identify discrete longitudinal patterns of change in adolescent smoking using latent growth mixture modeling. Five distinct longitudinal patterns were identified. A group of early rapid escalators was characterized by early escalation (at age 13) that rapidly increased to heavy smoking. A pattern characterized by occasional puffing up until age 15, at which time smoking escalated to moderate levels was also identified (late moderate escalators). Another group included adolescents who, after age 15, began to escalate slowly in their smoking to light (0.5 cigarettes per month) levels (late slow escalators). Finally, a group of stable light smokers (those who smoked 1-2 cigarettes per month) and a group of stable puffers (those. who smoked only a few puffs per month) were also identified. The stable puffer group was the largest group and represented 25% of smokers.

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Land related information about the Earth's surface is commonIJ found in two forms: (1) map infornlation and (2) satellite image da ta. Satellite imagery provides a good visual picture of what is on the ground but complex image processing is required to interpret features in an image scene. Increasingly, methods are being sought to integrate the knowledge embodied in mop information into the interpretation task, or, alternatively, to bypass interpretation and perform biophysical modeling directly on derived data sources. A cartographic modeling language, as a generic map analysis package, is suggested as a means to integrate geographical knowledge and imagery in a process-oriented view of the Earth. Specialized cartographic models may be developed by users, which incorporate mapping information in performing land classification. In addition, a cartographic modeling language may be enhanced with operators suited to processing remotely sensed imagery. We demonstrate the usefulness of a cartographic modeling language for pre-processing satellite imagery, and define two nerv cartographic operators that evaluate image neighborhoods as post-processing operations to interpret thematic map values. The language and operators are demonstrated with an example image classification task.

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This paper proposed a novel model for short term load forecast in the competitive electricity market. The prior electricity demand data are treated as time series. The forecast model is based on wavelet multi-resolution decomposition by autocorrelation shell representation and neural networks (multilayer perceptrons, or MLPs) modeling of wavelet coefficients. To minimize the influence of noisy low level coefficients, we applied the practical Bayesian method Automatic Relevance Determination (ARD) model to choose the size of MLPs, which are then trained to provide forecasts. The individual wavelet domain forecasts are recombined to form the accurate overall forecast. The proposed method is tested using Queensland electricity demand data from the Australian National Electricity Market. (C) 2001 Elsevier Science B.V. All rights reserved.

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A pilot telemedicine network was established in 11 sites using funding provided by the Department of Trade and Industry in the UK. The main purpose of the project was to develop and evaluate clinical and educational links between central and peripheral sites in Scotland, The results were very encouraging, and clinical services were established in accident and emergency medicine, tele-ultrasound and clinical psychology. An undergraduate medical teaching service was also successfully established. All of these services are to be continued after the completion of the project. Many lessons were learned during the establishment of this network which will be useful in future projects. These included the importance of training for telemedicine users, the importance of identifying a telemedicine champion, the pitfall of health economics and the fact that services must be needs driven.