819 resultados para Hospital Design and Construction
Resumo:
Throughout the industrial processes of sheet metal manufacturing and refining, shear cutting is widely used for its speed and cost advantages over competing cutting methods. Industrial shears may include some force measurement possibilities, but the force is most likely influenced by friction losses between shear tool and the point of measurement, and are in general not showing the actual force applied to the sheet. Well defined shears and accurate measurements of force and shear tool position are important for understanding the influence of shear parameters. Accurate experimental data are also necessary for calibration of numerical shear models. Here, a dedicated laboratory set-up with well defined geometry and movement in the shear, and high measurability in terms of force and geometry is designed, built and verified. Parameters important to the shear process are studied with perturbation analysis techniques and requirements on input parameter accuracy are formulated to meet experimental output demands. Input parameters in shearing are mostly geometric parameters, but also material properties and contact conditions. Based on the accuracy requirements, a symmetric experiment with internal balancing of forces is constructed to avoid guides and corresponding friction losses. Finally, the experimental procedure is validated through shearing of a medium grade steel. With the obtained experimental set-up performance, force changes as result of changes in studied input parameters are distinguishable down to a level of 1%.
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Abscisic acid (ABA) is an important phytohormone with regulatory roles in many physiological processes. ABA expression is induced by environmental stresses such as drought and it is known to be an inhibitor of seed germination. A wild oat (Avena fatua) called AFN1 has been hypothesized to initiate the early stages of germination as its mRNA accumulates in nondormant seed embryos during imbibition. The polypeptide sequence of AFN1 suggests that it is an ABA glucosyl transferase. Glucosylation by AFN1 and thereby inactivation of ABA could lead to seed germination. In order to understand the role of AFN1 in germination, an ample quantity of AFN1 polypeptide is needed to test for enzymatic ABA glucosylase activity. My work has been to overexpress recombinant AFN1containing a (His)6 tag using a pRSETC E.coli expression system followed by Purification of the AFN1 protein by means of a nickel-affinity column that bind to the (His)6 tag. Due to the insufficient yield of AFN1 fusion protein obtained with this procedure, another method using a pMAL-c2x vector is now being employed. The pMAL expression system provides a method for expressing and purifying protein by tagging proteins with maltose-binding protein (MBP). It is anticipated that MBP tag will be advantageous as it can make the fusion protein more soluble and thereby yield a larger quantity of protein. Currently, work is underway on the construction of pMAL/AFN1 plasmid.
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We model the trade-off between the balance and the strength of incentives implicit in the choice between hierarchical and matrix or- ganizational structures. We show that managerial biases determine which structure is optimal: hierarchical forms are preferred when biases are low, while matrix structures are preferred when biases are high. Moreover, the results show that there is always a level of bias for which matrix design can achieve the expected profit obtained by shareholders if they could directly control the firm. We also show that the main trade-off, i.e., hierarchical versus matrix structure is preserved under asymmetric levels of bias among managers and when low-level workers perceive activities with complementary efforts.
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We model the tradeoff between the balance and the strength of incentives implicit in the choice between hierarchical and matrix organizational structures. We show that managerial biases determine which structure is optimal: hierarchical forms are preferred when biases are low, while matrix structures are preferred when biases are high.
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This paper argues the euro zone requires a government banker that manages the bond market and helps finance country budget deficits. The euro solved Europe’s problem of exchange rate speculation by creating a unified currency managed by a single central bank, but in doing so it replaced the exchange rate speculation problem with bond market speculation. Remedying this requires a central bank that acts as government banker and maintains bond interest rates at sustainable levels. Because the euro is a monetary union, this must be done in a way that both avoids favoring individual countries and avoids creating incentives for irresponsible country fiscal policy that leads to “bail-outs”. The paper argues this can be accomplished via a European Public Finance Authority (EPFA) that issues public debt which the European Central Bank (ECB) is allowed to trade. The debate over the euro’s financial architecture has significant political implications. The current neoliberal inspired architecture, which imposes a complete separation between the central bank and public finances, puts governments under continuous financial pressures. That will make it difficult to maintain the European social democratic welfare state. This gives a political reason for reforming the euro and creating an EPFA that supplements the economic case for reform.
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This article presents a detailed study of the application of different additive manufacturing technologies (sintering process, three-dimensional printing, extrusion and stereolithographic process), in the design process of a complex geometry model and its moving parts. The fabrication sequence was evaluated in terms of pre-processing conditions (model generation and model STL SLI), generation strategy and physical model post-processing operations. Dimensional verification of the obtained models was undertook by projecting structured light (optical scan), a relatively new technology of main importance for metrology and reverse engineering. Studies were done in certain manufacturing time and production costs, which allowed the definition of an more comprehensive evaluation matrix of additive technologies.
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Foram coletadas 143 amostras de mãos de humanos e camas hospitalares, através de swabs no caldo BHI, em um hospital escola da cidade de Ribeirão Preto/SP. As amostras coletadas foram incubadas a 37ºC por 24 horas e após este período as culturas foram semeadas em placas de Petri contendo agar Staphylococcus Médium 110. As colônias típicas do gênero Staphylococcus foram colhidas e estocados a 4ºC até o momento de elaboração das provas de catalase, manitol, hemólise, DNAse e coagulase. As cepas isoladas foram analisadas através da técnica de RAPD-PCR para verificar o grau de similaridade. A sensibilidade das cepas isoladas foi testada frente a 10 diferentes antibióticos. Das 92 cepas de Staphylococcus sp isoladas, 67 (72,8%) foram identificados como Staphylococcus coagulase-negativas e 25 (27,2%) como Staphylococcus coagulase-positivas. A análise de similaridade mostrou uma grande heterogeneidade entre as cepas, entretanto foram isoladas algumas cepas com 100% de similaridade. Resistência a oxacilina foi encontrada em 39 (42%) cepas. Duas cepas de estafilococos coagulase-negativos mostraram-se resistentes a vancomicina. Onze cepas (12%) de estafilococos foram consideradas multirresistentes. Medidas de desinfecção das mãos de pessoal e dos leitos hospitalares e a racionalização do uso indiscriminado de antibióticos podem contribuir para a queda da transmissão de patógenos e diminuição da pressão de seleção, e conseqüentemente diminuindo a freqüência e letalidade das infecções nosocomiais.
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This work shows the design, simulation, and analysis of two optical interconnection networks for a Dataflow parallel computer architecture. To verify the optical interconnection network performance on the Dataflow architecture, we have analyzed the load balancing among the processors during the parallel programs executions. The load balancing is a very important parameter because it is directly associated to the dataflow parallelism degree. This article proves that optical interconnection networks designed with simple optical devices can provide efficiently the dataflow requirements of a high performance communication system.
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
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This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The main advantage of the developed network is that it handles optimization and constraint terms in different stages with no interference from each other. Moreover, the proposed approach does not require specification for penalty and weighting parameters for its initialization. A study of the modified Hopfield model is also developed to analyse its stability and convergence. Simulation results are provided to demonstrate the performance of the proposed neural network.
Resumo:
Sometimes it is inconvenient or expensive to open the loop of a system to insert lag controllers-for instance, when this system is an open-loop system. A new controller structure where the loop is not opened, and that allows the design of lag controllers as in the case where one can open the loop, is presented. This result can be used by educators in undergraduate courses that deal with classic control system theory, because it allows a better comprehension of the concept of lag compensation and provides a new method for its design and implementation. An example illustrates the application of the proposed method.
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This paper presents a theoretical analysis of a density measurement cell using an unidimensional model composed by acoustic and electroacoustic transmission lines in order to simulate non-ideal effects. The model is implemented using matrix operations, and is used to design the cell considering its geometry, materials used in sensor assembly, range of liquid sample properties and signal analysis techniques. The sensor performance in non-ideal conditions is studied, considering the thicknesses of adhesive and metallization layers, and the effect of residue of liquid sample which can impregnate on the sample chamber surfaces. These layers are taken into account in the model, and their effects are compensated to reduce the error on density measurement. The results show the contribution of residue layer thickness to density error and its behavior when two signal analysis methods are used. (c) 2006 Elsevier B.V. All rights reserved.
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Hospital admissions (n = 15,450) to a state psychiatric hospital in Botucatu, São Paulo State, Brazil, over a 10-year period (1982-1991) were reviewed. 157 (1%) patients received a probable diagnosis of affective disorder according to DSM-III-R criteria. Among them, 46% had been diagnosed by the staff psychiatrists, and their diagnoses were sustained by the researchers, whereas 54% were diagnosed only by one of the researchers (F.K.C.). These last patients had previously received a diagnosis of paranoid schizophrenia or unspecified psychosis (ICD-9). Most of the patients with affective disorders were bipolar: 72 and 8%, respectively, presented manic and depressive episodes. Thus, only 20% received a diagnosis of major depression. A seasonal pattern in hospital admission was observed only for mania in women, their episodes occurring more often (p < 0.02) in spring and summer. No significant seasonal pattern in hospital admission for depression was found.
Resumo:
Background: This study aims to evaluate the prevalence of depressive symptoms and associated factors among elderly hospital inpatients.Methods: A cross-sectional study evaluated 189 participants using the Geriatric Depression Scale, the Mini-mental State Examination and the Katz and Lawton Index, to assess dependence regarding activities of daily living (ADL).Results: Most of the participants were women, aged between 60 and 92 years, with low levels of educational attainment and personal income, and non-qualified occupations. The prevalence of depressive symptoms was 56%, but only 3% had a psychiatric diagnosis registered in their medical records. Univariate analysis showed significant associations between depressive symptoms and low educational level and income, marital status, number of hospitalizations in the previous year, cognitive decline, dependence regarding basic and instrumental ADL, and death. After logistic regression, the only variables that remained significantly associated with depression were low educational level, dependence regarding basic ADL, and death.Conclusions: Depressive symptoms were independently associated with low educational level and dependence regarding basic ADL. Hospitalized elderly people with depressive symptoms were more likely to die. It is essential to diagnose and treat depression properly in this population to minimize its negative impacts.