901 resultados para network support


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A deregulated electricity market is characterized with uncertainties, with both long and short terms. As one of the major long term planning issues, the transmission expansion planning (TEP) is aiming at implementing reliable and secure network support to the market participants. The TEP covers two major issues: technical assessment and financial evaluations. Traditionally, the net present value (NPV) method is the most accepted for financial evaluations, it is simple to conduct and easy to understand. Nevertheless, TEP in a deregulated market needs a more dynamic approach to incorporate a project's management flexibility, or the managerial ability to adapt in response to unpredictable market developments. The real options approach (ROA) is introduced here, which has clear advantage on counting the future course of actions that investors may take, with understandable results in monetary terms. In the case study, a Nordic test system has been testified and several scenarios are given for network expansion planning. Both the technical assessment and financial evaluation have been conducted in the case study.

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MSC 2010: 05C50, 15A03, 15A06, 65K05, 90C08, 90C35

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A two-year longitudinal study was conducted to investigate late adolescents in transition. An initial investigation with senior high school students assessed students prior to leaving home for college and after college entrance. Of the original 131 participants recontacted two years after their graduation, 78 returned surveys. The study (a) explored changes in social network structure and function, (b) determined whether late adolescent-parent-peer relations change over time, and (c) identified prospectively the impact of social support, adolescent-parent-peer relations, and attachment security on well-being and feelings about the transition after high school. Students attending college locally reported an increase in total network support at Time 2. Regardless of location, more support from friends was received after the transition from high school, whereas family support did not vary across time. Parent relations were closer after the transition and were predictive of various well-being measures and feelings about the transition from high school. ^

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The National Policy on Mental Health is characterized as a territorial - political community , and it has the Psychoso cial Care Strategy (Eaps) as guideline for the proposal and the development of their actions. In its design, CAPS is idealized to be a strategic equipment within the Psychoso cial Care Network/RAPS. Matricial support and at tention to the crisis constitute strategic areas of action of CAPS in its replacement mission , and as it is g uided by the scope of deinstitutionalization, those are essential to the success of these services. We argue that sustain crises in existential territories of life is a condition for the effectiveness of psychosocial care and, ultimately, to the sustainability of its Reform. In this direction, the matricial support tool reveals a territorial supporter, intercessory and powerful in building a psychosocial care to the crisis. Recognized as one of the major challenges by the Brazilian Ministry of Health, forward these fronts materializes for workers in their mi cropolitical crafts. Our research arises as an investment toward empower them , and aimed to understand the operationalization of attention to the crisis and matricial support in a CAPS II, in the view of its workers . Besides, it aims to examine such practi ces forward the principles and purposes of Psychosocial Care Strategy. Inspired by the research - intervention and by the political and social ideas of Institutiona l Analysis, we offer a space for reflection and exchange, by implicational interviews , enablin g workers to launch them in analysis of practices in the EAPs view. We have done a documentary consulting CAPS Technical Project, and a return stage to the institution, by organizing workshop and conversation groups with CAPS workers. The results have show n that there are institutional logics in competition on that service. When operating the logic risk, some difficulties in sustaining most intense crisis situations were identified, the psychiatric hospital internment is used as a facility, particularly in view of some cases, in which the aggressiveness of the person in crises becomes aggressive, and when the brackets SAMU, the CAPS III and Comprehensive Care Beds do not respond satisfactorily to their users requests. Order weaknesses were indicated in this thesis as macropolitical and micropolitical interfering in network support. The matricial actions were identified as a powerful intercessor resource in crisis care appeared weakened, and indicates little porosity in the relationship between the Service and the territory where it takes place. Noticed by the logic of home care, without operate primarily as a knowledge exchange device, we saw capture points in the logic of assistance with ambulatoriza tion production of CAPS, welfare practices and "ext empore " . T he E APs , although it emerge s as a guiding, it is not seen to workers as effective practice. On the one hand, the results signaled that the attention to the crisis and the matricial actions are developed without tenacious connection with the purposes of EA Ps, on the other hand, successful cases were indicated with the main leads to conducting wire of intersectoral actions to the powerful bonds and to the participation of user in their care process es , indicating insurgent forces tha t intend by traditional lo gic .

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Objective: Identify preventive self-care practices and analyze the configurations of the network support for women with and without breast cancer registered in a mammography-monitoring project from Porto Alegre/Brazil.Method: a mixed sequential delimitation was performed, which expanded the results of the quantitative step (cross and correlation section) in a qualitative step (narrative interviews). 37 women diagnosed with breast cancer (group 1) and 72 without this diagnosis (group 2 – monitoring) participated. The following instruments were used: Assessment Questionnaire Self-care Ability (ASA-A) and Assessment Questionnaire Perceived Social Support and Community. There were performed descriptive analysis and comparison of means (t test and ANOVA) between the two groups. To deepen the understanding of the data, we selected four women with breast cancer with extreme levels on the scale of Social Support to participate in the biographical narrative interviews.Results: the analysis indicate that women who had breast cancer have better self-care practices than the women from the monitoring project (t = 1.791, P = 0.027). As for the analysis of social support, there were no statistically significant differences between the two groups. All participants have an average level of perceived social and community support. It was highlighted by the qualitative data that it was after the diagnosis of breast cancer that women lived self-care aspects they had not previously experienced.Conclusions: the self-care was significantly bigger in the group of women with breast cancer, where the cancer diagnosis was a trigger to increase self-care.

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Enquadramento: Conhecer a perceção que os cuidadores informais possuem sobre o planeamento da alta dos idosos internados, permite que os enfermeiros conheçam as reais necessidades do cuidador e do idoso, contribuindo assim, para a diminuição da ansiedade, prevenção de complicações e consequentemente uma maior satisfação pelos cuidados recebidos. Objetivos: Conhecer a perceção dos cuidadores informais sobre o planeamento da alta hospitalar do idoso, e analisar associações entre as variáveis sociodemográficas, profissionais, familiares, clínicas e psicossociais e a referida perceção. Métodos/ Procedimentos: Realizou-se um estudo quantitativo, transversal, descritivo e correlacional, utilizando uma amostra não probabilística por conveniência, constituída por 41 cuidadores informais de idosos internados no serviço de Medicina 1 do Centro Hospitalar do Algarve – Unidade de Faro. Recorreu-se ao questionário de caracterização sociodemográfica, profissional, familiar e clínica, bem como a utilização do Índice de Barthel, questionário de Planeamento da Alta (PREPARED) e a escala de Ansiedade e Depressão Hospitalar (HADS). Resultados: Dos 41 cuidadores informais,73,17 % são do género feminino, 78% são casados/ união de fato, 39,0% mantêm-se ativos profissionalmente a tempo inteiro e em 51,2% são filhos do idoso, que apresentam uma média de idade de 78,78 anos. A maioria (82,9%) reside na mesma habitação que o idoso, sendo cuidadores informais há menos de 3 meses (58,5%). Os cuidadores apresentam um nível de ansiedade leve a moderada, sendo superior para o género feminino, embora não se verificasse diferenças estatisticamente significativas. Relativamente à perceção dos cuidadores relacionados com o planeamento da alta, a maioria privilegia as informações relacionadas como conseguir fazer as AVD, afirmando que se sentem preparados para regressar a casa, contudo a maioria não sente confiança para executar as tarefas diárias no domicílio. Constatou-se que a presença de apoio da rede formal influencia significativamente a perceção do planeamento da alta (p< 0,05), sendo que o género, agregado familiar e grau de dependência, embora de forma parcial (apenas para um indicador) também são preditivas da perceção. Conclusões: Apesar do número reduzido da amostra, os resultados obtidos evidenciam a relevância de organização dos cuidados face à satisfação das necessidades dos idosos e seus cuidadores em cuidados de saúde, no que dizem respeito ao planeamento da alta, como busca da qualidade. Palavras-chave: perceção do planeamento da alta, cuidadores informais, idosos.

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The selection criteria for contractor pre-qualification are characterized by the co-existence of both quantitative and qualitative data. The qualitative data is non-linear, uncertain and imprecise. An ideal decision support system for contractor pre-qualification should have the ability of handling both quantitative and qualitative data, and of mapping the complicated nonlinear relationship of the selection criteria, such that rational and consistent decisions can be made. In this research paper, an artificial neural network model was developed to assist public clients identifying suitable contractors for tendering. The pre-qualification criteria (variables) were identified for the model. One hundred and twelve real pre-qualification cases were collected from civil engineering projects in Hong Kong, and eighty-eight hypothetical pre-qualification cases were also generated according to the “If-then” rules used by professionals in the pre-qualification process. The results of the analysis totally comply with current practice (public developers in Hong Kong). Each pre-qualification case consisted of input ratings for candidate contractors’ attributes and their corresponding pre-qualification decisions. The training of the neural network model was accomplished by using the developed program, in which a conjugate gradient descent algorithm was incorporated for improving the learning performance of the network. Cross-validation was applied to estimate the generalization errors based on the “re-sampling” of training pairs. The case studies show that the artificial neural network model is suitable for mapping the complicated nonlinear relationship between contractors’ attributes and their corresponding pre-qualification (disqualification) decisions. The artificial neural network model can be concluded as an ideal alternative for performing the contractor pre-qualification task.

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Non-communicable diseases (NCDs) dominate disease burdens globally and poor nutrition increasingly contributes to this global burden. Comprehensive monitoring of food environments, and evaluation of the impact of public and private sector policies on food environments is needed to strengthen accountability systems to reduce NCDs. The International Network for Food and Obesity/NCDs Research, Monitoring and Action Support (INFORMAS) is a global network of public-interest organizations and researchers that aims to monitor, benchmark and support public and private sector actions to create healthy food environments and reduce obesity, NCDs and their related inequalities. The INFORMAS framework includes two ‘process’ modules, that monitor the policies and actions of the public and private sectors, seven ‘impact’ modules that monitor the key characteristics of food environments and three ‘outcome’ modules that monitor dietary quality, risk factors and NCD morbidity and mortality. Monitoring frameworks and indicators have been developed for 10 modules to provide consistency, but allowing for stepwise approaches (‘minimal’, ‘expanded’, ‘optimal’) to data collection and analysis. INFORMAS data will enable benchmarking of food environments between countries, and monitoring of progress over time within countries. Through monitoring and benchmarking, INFORMAS will strengthen the accountability systems needed to help reduce the burden of obesity, NCDs and their related inequalities.

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Voltage rise and drop are the main power quality challenges in Low Voltage (LV) network with Renewable Energy (RE) generators. This paper proposes a new voltage support strategy based on coordination of multiple Distribution Static Synchronous Compensators (DSTATCOMs) using consensus algorithm. The study focuses on LV network with PV as the RE source for customers. The proposed approach applied to a typical residential LV network and its advantages are shown comparing with other voltage control strategies.

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This paper presents a case study for the application of a Linear Engineering Asset Renewal decision support software tool (LinEAR) at a water distribution network in Australia. This case study examines how the LinEAR can assist water utilities to minimise their total pipeline management cost, to make a long-term budget based on mathematically predicted expenditure, and to present calculated evidence for supporting their expenditure requirements. The outcomes from the study on pipeline renewal decision support demonstrate that LinEAR can help water utilities to improve the decision process and save renewal costs over a long-term by providing an optimum renewal schedules. This software can help organisation to accumulate technical knowledge and prediction future impact of the decision using what-if analysis.

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Being able to accurately predict the risk of falling is crucial in patients with Parkinson’s dis- ease (PD). This is due to the unfavorable effect of falls, which can lower the quality of life as well as directly impact on survival. Three methods considered for predicting falls are decision trees (DT), Bayesian networks (BN), and support vector machines (SVM). Data on a 1-year prospective study conducted at IHBI, Australia, for 51 people with PD are used. Data processing are conducted using rpart and e1071 packages in R for DT and SVM, con- secutively; and Bayes Server 5.5 for the BN. The results show that BN and SVM produce consistently higher accuracy over the 12 months evaluation time points (average sensitivity and specificity > 92%) than DT (average sensitivity 88%, average specificity 72%). DT is prone to imbalanced data so needs to adjust for the misclassification cost. However, DT provides a straightforward, interpretable result and thus is appealing for helping to identify important items related to falls and to generate fallers’ profiles.

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This paper describes the types of support that teachers are accessing through the Social Network Site (SNS) 'Facebook'. It describes six ways in which teachers support one another within online groups. It presents evidence from a study of a large, open group of teachers online over a twelve week period, repeated with multiple groups a year later over a one week period. The findings suggest that large open groups in SNSs can be a useful source of pragmatic advice for teachers but that these groups are rarely a place for reflection on or feedback about teaching practice.

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In this paper. we propose a novel method using wavelets as input to neural network self-organizing maps and support vector machine for classification of magnetic resonance (MR) images of the human brain. The proposed method classifies MR brain images as either normal or abnormal. We have tested the proposed approach using a dataset of 52 MR brain images. Good classification percentage of more than 94% was achieved using the neural network self-organizing maps (SOM) and 98% front support vector machine. We observed that the classification rate is high for a Support vector machine classifier compared to self-organizing map-based approach.