898 resultados para Maintenance, Rehabilitation, Budget Estimate, Roads, Asset Management
Resumo:
BACKGROUND AND OBJECTIVE: To a large extent, people who have suffered a stroke report unmet needs for rehabilitation. The purpose of this study was to explore aspects of rehabilitation provision that potentially contribute to self-reported met needs for rehabilitation 12 months after stroke with consideration also to severity of stroke. METHODS: The participants (n = 173) received care at the stroke units at the Karolinska University Hospital, Sweden. Using a questionnaire, the dependent variable, self-reported met needs for rehabilitation, was collected at 12 months after stroke. The independent variables were four aspects of rehabilitation provision based on data retrieved from registers and structured according to four aspects: amount of rehabilitation, service level (day care rehabilitation, primary care rehabilitation and home-based rehabilitation), operator level (physiotherapist, occupational therapist, speech therapist) and time after stroke onset. Multivariate logistic regression analyses regarding the aspects of rehabilitation were performed for the participants who were divided into three groups based on stroke severity at onset. RESULTS: Participants with moderate/severe stroke who had seen a physiotherapist at least once during each of the 1st, 2nd and 3rd-4th quarters of the first year (OR 8.36, CI 1.40-49.88 P = 0.020) were more likely to report met rehabilitation needs. CONCLUSION: For people with moderate/severe stroke, continuity in rehabilitation (preferably physiotherapy) during the first year after stroke seems to be associated with self-reported met needs for rehabilitation.
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Increasing energy use has caused many environmental problems including global warming. Energy use is growing rapidly in developing countries and surprisingly a remarkable portion of it is associated with consumed energy to keep the temperature comfortable inside the buildings. Therefore, identifying renewable technologies for cooling and heating is essential. This study introduced applications of steel sheets integrated into the buildings to save energy based on existing technologies. In addition, the proposed application was found to have a considerable chance of market success. Also, satisfying energy needs for space heating and cooling in a single room by using one of the selected applications in different Köppen climate classes was investigated to estimate which climates have a proper potential for benefiting from the application. This study included three independent parts and the results related to each part have been used in the next part. The first part recognizes six different technologies through literature review including Cool Roof, Solar Chimney, Steel Cladding of Building, Night Radiative Cooling, Elastomer Metal Absorber, and Solar Distillation. The second part evaluated the application of different technologies by gathering the experts’ ideas via performing a Delphi method. The results showed that the Solar Chimney has a proper chance for the market. The third part simulated both a solar chimney and a solar chimney with evaporation which were connected to a single well insulated room with a considerable thermal mass. The combination was simulated as a system to estimate the possibility of satisfying cooling needs and heating needs in different climate classes. A Trombe-wall was selected as a sample design for the Solar Chimney and was simulated in different climates. The results implied that the solar chimney had the capability of reducing the cooling needs more than 25% in all of the studied locations and 100% in some locations with dry or temperate climate such as Mashhad, Madrid, and Istanbul. It was also observed that the heating needs were satisfied more than 50% in all of the studied locations, even for the continental climate such as Stockholm and 100% in most locations with a dry climate. Therefore, the Solar Chimney reduces energy use, saves environment resources, and it is a cost effective application. Furthermore, it saves the equipment costs in many locations. All the results mentioned above make the solar chimney a very practical and attractive tool for a wide range of climates.
Resumo:
Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in inadequate track drainage which in turn could lead to the collapse of the railway embankment. Assessing vegetation within the realm of railway maintenance is mainly carried out manually by making visual inspections along the track. This is done either on-site or by watching videos recorded by maintenance vehicles mainly operated by the national railway administrative body. A need for the automated detection and characterisation of vegetation on railways (a subset of vegetation control/management) has been identified in collaboration with local railway maintenance subcontractors and Trafikverket, the Swedish Transport Administration (STA). The latter is responsible for long-term planning of the transport system for all types of traffic, as well as for the building, operation and maintenance of public roads and railways. The purpose of this research project was to investigate how vegetation can be measured and quantified by human raters and how machine vision can automate the same process. Data were acquired at railway trackbeds and embankments during field measurement experiments. All field data (such as images) in this thesis work was acquired on operational, lightly trafficked railway tracks, mostly trafficked by goods trains. Data were also generated by letting (human) raters conduct visual estimates of plant cover and/or count the number of plants, either on-site or in-house by making visual estimates of the images acquired from the field experiments. Later, the degree of reliability of(human) raters’ visual estimates were investigated and compared against machine vision algorithms. The overall results of the investigations involving human raters showed inconsistency in their estimates, and are therefore unreliable. As a result of the exploration of machine vision, computational methods and algorithms enabling automatic detection and characterisation of vegetation along railways were developed. The results achieved in the current work have shown that the use of image data for detecting vegetation is indeed possible and that such results could form the base for decisions regarding vegetation control. The performance of the machine vision algorithm which quantifies the vegetation cover was able to process 98% of the im-age data. Investigations of classifying plants from images were conducted in in order to recognise the specie. The classification rate accuracy was 95%.Objective measurements such as the ones proposed in thesis offers easy access to the measurements to all the involved parties and makes the subcontracting process easier i.e., both the subcontractors and the national railway administration are given the same reference framework concerning vegetation before signing a contract, which can then be crosschecked post maintenance.A very important issue which comes with an increasing ability to recognise species is the maintenance of biological diversity. Biological diversity along the trackbeds and embankments can be mapped, and maintained, through better and robust monitoring procedures. Continuously monitoring the state of vegetation along railways is highly recommended in order to identify a need for maintenance actions, and in addition to keep track of biodiversity. The computational methods or algorithms developed form the foundation of an automatic inspection system capable of objectively supporting manual inspections, or replacing manual inspections.
Resumo:
The national railway administrations in Scandinavia, Germany, and Austria mainly resort to manual inspections to control vegetation growth along railway embankments. Manually inspecting railways is slow and time consuming. A more worrying aspect concerns the fact that human observers are often unable to estimate the true cover of vegetation on railway embankments. Further human observers often tend to disagree with each other when more than one observer is engaged for inspection. Lack of proper techniques to identify the true cover of vegetation even result in the excess usage of herbicides; seriously harming the environment and threating the ecology. Hence work in this study has investigated aspects relevant to human variationand agreement to be able to report better inspection routines. This was studied by mainly carrying out two separate yet relevant investigations.First, thirteen observers were separately asked to estimate the vegetation cover in nine imagesacquired (in nadir view) over the railway tracks. All such estimates were compared relatively and an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05). Bearing in difference between the observers, a second follow-up field-study on the railway tracks was initiated and properly investigated. Two railway segments (strata) representingdifferent levels of vegetationwere carefully selected. Five sample plots (each covering an area of one-by-one meter) were randomizedfrom each stratumalong the rails from the aforementioned segments and ten images were acquired in nadir view. Further three observers (with knowledge in the railway maintenance domain) were separately asked to estimate the plant cover by visually examining theplots. Again an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05) confirming the result from the first investigation.The differences in observations are compared against a computer vision algorithm which detects the "true" cover of vegetation in a given image. The true cover is defined as the amount of greenish pixels in each image as detected by the computer vision algorithm. Results achieved through comparison strongly indicate that inconsistency is prevalent among the estimates reported by the observers. Hence, an automated approach reporting the use of computer vision is suggested, thus transferring the manual inspections into objective monitored inspections
Resumo:
As a result of urbanization, stormwater runoff flow rates and volumes are significantly increased due to increasing impervious land cover and the decreased availability of depression storage. Storage tanks are the basic devices to efficiently control the flow rate in drainage systems during wet weather. Presented in the paper conception of vacuum-driven detention tanks allows to increase the storage capacity by usage of space above the free surface water elevation at the inlet channel. Partial vacuum storage makes possible to gain cost savings by reduction of both the horizontal area of the detention tank and necessary depth of foundations. Simulation model of vacuum-driven storage tank has been developed to estimate potential profits of its application in urban drainage system. Although SWMM5 has no direct options for vacuum tanks an existing functions (i.e. control rules) have been used to reflect its operation phases. Rainfall data used in simulations were recorded at raingage in Czestochowa during years 2010÷2012 with time interval of 10minutes. Simulation results gives overview to practical operation and maintenance cost (energy demand) of vacuum driven storage tanks depending of the ratio: vacuum-driven volume to total storage capacity. The following conclusion can be drawn from this investigations: vacuum-driven storage tanks are characterized by uncomplicated construction and control systems, thus can be applied in newly developed as well as in the existing urban drainage systems. the application of vacuum in underground detention facilities makes possible to increase of the storage capacity of existing reservoirs by usage the space above the maximum depth. Possible increase of storage capacity can achieve even a few dozen percent at relatively low investment costs. vacuum driven storage tanks can be included in existing simulation software (i.e. SWMM) using options intended for pumping stations (including control and action rules ).
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Vertical stream bed erosion has been studied routinely and its modeling is getting widespread acceptance. The same cannot be said with lateral stream bank erosion since its measurement or numerical modeling is very challenging. Bank erosion, however, can be important to channel morphology. It may contribute significantly to the overall sediment budget of a stream, is a leading cause of channel migration, and is the cause of major channel maintenance. However, combined vertical and lateral channel evolution is seldom addressed. In this study, a new geofluival numerical model is developed to simulate combined vertical and lateral channel evolution. Vertical erosion is predicted with a 2D depth-averaged model SRH-2D, while lateral erosion is simulated with a linear retreat bank erosion model developed in this study. SRH-2D and the bank erosion model are coupled together both spatially and temporally through a common mesh and the same time advancement. The new geofluvial model is first tested and verified using laboratory meander channels; good agreement are obtained between predicted bank retreat and measured data. The model is then applied to a 16-kilometer reach of Chosui River, Taiwan. Vertical and lateral channel evolution during a three-year period (2004 to 2007) is simulated and results are compared with the field data. It is shown that the geofluvial model correctly captures all major erosion and deposition patterns. The new model is shown to be useful for identifying potential erosion sites and providing information for river maintenance planning.
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This article presents the data-rich findings of an experiment with enlisting patron-driven/demand-driven acquisitions (DDA) of ebooks in two ways. The first experiment entailed comparison of DDA eBook usage against newly ordered hardcopy materials’ circulation, both overall and ebook vs. print usage within the same subject areas. Secondly, this study experimented with DDA ebooks as a backup plan for unfunded requests left over at the end of the fiscal year.
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This article presents the data-rich findings of an experiment with enlisting patron-driven/demand-driven acquisitions (DDA) of ebooks in two ways. The first experiment entailed comparison of DDA eBook usage against newly ordered hardcopy materials’ circulation, both overall and ebook vs. print usage within the same subject areas. Secondly, this study experimented with DDA ebooks as a backup plan for unfunded requests left over at the end of the fiscal year.
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Credit risk management has assumed increasing importance for the managers and directors of enterprises. Thus, different approaches aimed to measure the probability of default are under discussion nowadays. This paper evaluates models that have become more popular over the last 30 years in order forecast defaults or to provide information regarding to financial difficulties of enterprises. This paper will focus on the KMV model in order to estimate the probability of default, its methodology based on market value of the asset and its volatility and finally estimate the probability of default. Finally, to test the KMV model will be used a sample of global steel companies that have credit in Companhia Vale do Rio Doce (CVRD), which will allow us to make comparisons with the models presented in this work.
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We develop a theory of public versus private ownership based on value diversion by managers. Government is assumed to face stronger institutional constraints than has been assumed in previous literature. The model which emerges from these assumptions is fexible and has wide application. We provide amapping between the qualitative characteristics of an asset, its main use - including public goods characteristics, and spillovers toother assets values - and the optimal ownership and management regime. The model is applied to single and multiple related assets. We address questions such as; when is it optimal to have one of a pair ofr elated assets public and the other private; when is joint management desirable; and when should a public asset be managed by the owner of a related private asset? We show that while private ownership can be judged optimal in some cases solely on the basis of qualitative information, the optimality of any other ownership and management regimes relies on quantitative analysis. Our results reveal the situations in which policy makers will have difficulty in determining the opimal regime.
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O compromisso com a estabilidade macroeconômica e com a manutenção do equilíbrio fiscal do Estado, condicionado pela Lei de Responsabilidade Fiscal, vem exigindo esforço permanente dos agentes públicos, especialistas e estudiosos das finanças públicas, no sentido do aprimoramento das práticas de planejamento e orçamento públicos, diante das limitações da capacidade do Estado de financiar indefinidamente o crescimento do gasto. Tais limitações tornam complexa a tarefa, a cargo dos formuladores de políticas públicas, de estabelecer prioridades na aplicação dos recursos orçamentários para atender às múltiplas demandas da sociedade. O equilíbrio das contas ajudou no processo de incremento de investimentos em projetos prioritários para a transformação da realidade social contemporânea. Garantir a plena consecução desses projetos, torna-se crucial para os governantes, na medida em que as gestões são cada vez mais cobradas pela sociedade. Os técnicos da Secretaria de Planejamento e Desenvolvimento Regional de São Paulo, que respondem pelas ações de planejamento e orçamento do Estado, buscam o aperfeiçoamento dos instrumentos de planejamento, a fim de elaborar orçamentos que reflitam melhor às necessidades dos órgãos da administração estadual. Demonstram especial interesse na concepção de uma metodologia que, baseada em boas práticas, lhes permita medir e analisar a relação entre o aumento dos investimentos e seu impacto nas despesas de custeio, como forma de aprimorar a eficácia e a efetividade do orçamento do Estado. As tendências descritas e o método de análise desenvolvido pelo grupo vão ao encontro das expectativas estabelecidas pelo Termo de Referência proposto. A consolidação de uma metodologia acurada, dependerá da qualidade dos dados consolidados pelo governo e será plenamente satisfatória somente quando houver ferramentas para a medição do custeio dos programas e equipamentos públicos.
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Ao se reportar resultados voláteis e, sem a devida evidenciação contábil (disclosure), pode-se transmitir uma imagem negativa aos investidores e levantar dúvidas em relação aos resultados futuros, a transparência e a capacidade de gerenciamento do risco por parte dos gestores das instituições financeiras. Nas últimas décadas, a utilização da contabilidade de hedge para a gestão do risco e resultado tem estado em evidência nos grandes bancos do Brasil e do exterior. Isto ocorre pois é onde se dá a convergência das demonstrações financeiras tanto em 2005 na Europa quanto em 2010 no Brasil para o novo padrão contábil internacional (IFRS) aplicado pelo IASB. Este padrão tem exigido dos bancos grandes esforços para estar em conformidade com as novas regras estabelecidas. Nesta mesma lógica, enquanto a contabilidade de hedge nos bancos assume um papel de destaque na gestão dos riscos e resultados; a divulgação precisa e concisa das demonstrações financeiras fornece aos acionistas, investidores e demais usuários importantes informações sobre o desempenho e a condução do negócio. Isto proporciona ao mercado uma melhor condição de avaliar os riscos envolvidos e de estimar os resultados futuros para a tomada de decisão de investimento. Dentro deste contexto, foi avaliado a qualidade e o grau de evidenciação das demonstrações contábeis dos principais bancos brasileiros e europeus aos requisitos do IFRS 7, IFRS 9 e outros mais de elaboração do próprio autor. Todos esses requisitos referem-se à divulgação de informações qualitativas e quantitativas pertinentes a contabilidade de hedge. Portanto, estão associados a estratégias de gestão de risco e resultado. A avaliação do grau de evidenciação das demonstrações financeiras ao IFRS 7 e IFRS 9 foi feita através de um estudo exploratório onde se analisou as notas explicativas em IFRS dos dez maiores bancos no Brasil e na Europa pelo critério “tamanho dos ativos”. Os resultados obtidos neste estudo indicam que 59,6% das instituições analisadas cumprem as exigências do IFRS7. Outra descoberta é que o índice de cumprimento dos bancos brasileiros é maior que os bancos europeus; 68,3% vs. 50,8%. Em relação ao IFRS 9 o percentual é de apenas 23% o que é explicado pelo fato da norma ainda não estar em vigor em ambas as regiões onde poucas instituições tem se antecipado de forma voluntária para atendê-la. A avaliação da qualidade das notas explicativas referente ao hedge contábil foi feita de maneira discricionária através da observação das informações prestadas para atender aos requisitos do IFRS 7 e 9 e dos demais requisitos adicionados pelo autor. Os resultados obtidos indicam que as notas carecem de maior detalhamento dos instrumentos de hedge utilizados, bem como os objetivos de cada hedge, para dar maior transparência ao usuário da informação sobre os riscos protegidos nos respectivos balanços. O crescimento do volume de informações prestadas nas notas explicativas dos grandes bancos brasileiros e europeus após a adoção do IFRS não configurou um aumento proporcional do conteúdo informacional, prevalecendo, ainda, a forma sobre a essência. Este movimento abre espaço para discussões futuras com os agentes de mercado sobre o tamanho e o conteúdo informacional adequado nas notas explicativas, com o intuito de buscar um equilíbrio entre o custo e o benefício da divulgação da informação sob a ótica da relevância e da materialidade.