Sistemas de custeio na gestão hospitalar

The cost management in any organization provides a number of benefits such as security in the good management of resources, but it is little used in the public hospital sector which is shaped like a paradox, facing the complexity of hospital organization and the underfunding situation of Cheers. The purpose of this book was to develop and submit an application method of a costing system in public hospitals. This proposal was developed in partnership with the Secretariat of the State of Paraná Health, with financial support from PPSUS and Araucaria Foundation. The study was conducted as an action research in two public hospitals in Paraná, but it can be replicated in any hospital from the premises of the developed method. For this, We developed the concepts of administration and public governance, the right to health in Brazil, the costs in the public sector and the detailed presentation of the proposed costing system model. The results constitute an important management tool for hospitals and Ministry of Health, enabling greater security leaders in the face of difficulties and challenges in this segment. Thus, it is expected that the book will contribute to governments for better management of public funds allocated to health; with academia, as a still incipient theme in literature; and society, so that more hospitals were professionalize its cost management and thereby provide a more efficient and effective service.

Aplicação foliar de molibdênio em adubos verdes e o desempenho do feijoeiro em sucessão

The knowledge of molybdenum application in legumes on the availability of N, by BNF, increased enzymatic activity and the residual effect caused on crops growth and yield can contribute to the greater scientific understanding involved in green manure processes. The aim of this study was to evaluate the Mo application and the N from Crotalaria juncea and Canavalia ensiformis green manures on common bean performance. Were conducted field experiments for the crops succession system (green manures - common bean) and laboratory essays for the enzymatic activities. Green manure production was installed in a factorial arrangement 2 x 4, with two green manure legumes species, sunnhemp (Crotalaria juncea) and jack beans (Canavalia ensiformis), and four Mo doses (0, 40, 80, 120 g ha-1) in the form of sodium molybdate (Na2MoO4), foliar applied, in a randomized block design with four replicates. For succession crop (common bean) additional treatment was added, beans grown without any fertilization, following the same experimental design from the previous crop. The dry matter decomposition and the N mineralization of green manure were monitored through collection of residues over time, by using the litter bags method. In laboratory were carried out tests of nitrate reductase activity in green manures and common beans at 90 and 66 days after sowing, respectively. The sunnhemp responded linearly positively to the application of Mo as the dry matter and N accumulation. While the jack beans presented a negative quadratic response for dry matter and there was no adjustment of regression models to N. The jack beans showed a higher decomposition rate and N mineralization compared to sunnhemp. The half lives for decomposing 50% of dry matter on the soil was 123 and 104 days to sunnhemp and jack beans, respectively, and 50% of N present in the residues was mineralized at 93 and 85 days. In common bean, differed from the control for number of pods the dose of 40 g ha-1 of Mo in both species of green manures and the dose 80 g ha-1 of Mo in jack beans. For number of grains only in sunnhemp on the dose of 40 g ha-1 of Mo differ from the control. The nitrate reductase activity was influenced by developmental stage of green manure species. In common bean, the activity of nitrate reductase was up to three times higher than the dose 0 g ha-1 of Mo compared to treatment with application of Mo in both species. There was no effect of Mo doses or species of green manure on common bean yield.

Aplicação da metodologia numérica “fast bounds crack” para uma estimativa eficiente da evolução do tamanho de trinca

A significant part of the life of a mechanical component occurs, the crack propagation stage in fatigue. Currently, it is had several mathematical models to describe the crack growth behavior. These models are classified into two categories in terms of stress range amplitude: constant and variable. In general, these propagation models are formulated as an initial value problem, and from this, the evolution curve of the crack is obtained by applying a numerical method. This dissertation presented the application of the methodology "Fast Bounds Crack" for the establishment of upper and lower bounds functions for model evolution of crack size. The performance of this methodology was evaluated by the relative deviation and computational times, in relation to approximate numerical solutions obtained by the Runge-Kutta method of 4th explicit order (RK4). Has been reached a maximum relative deviation of 5.92% and the computational time was, for examples solved, 130,000 times more higher than achieved by the method RK4. Was performed yet an Engineering application in order to obtain an approximate numerical solution, from the arithmetic mean of the upper and lower bounds obtained in the methodology applied in this work, when you don’t know the law of evolution. The maximum relative error found in this application was 2.08% which proves the efficiency of the methodology "Fast Bounds Crack".

Desenvolvimento e aplicação de modelo de calibração multivariada para determinação de açúcares e ácidos orgânicos em bebidas comerciais utilizando espectroscopia no infravermelho

The routine analysis for quantization of organic acids and sugars are generally slow methods that involve the use and preparation of several reagents, require trained professional, the availability of special equipment and is expensive. In this context, it has been increasing investment in research whose purpose is the development of substitutive methods to reference, which are faster, cheap and simple, and infrared spectroscopy have been highlighted in this regard. The present study developed multivariate calibration models for the simultaneous and quantitative determination of ascorbic acid, citric, malic and tartaric and sugars sucrose, glucose and fructose, and soluble solids in juices and fruit nectars and classification models for ACP. We used methods of spectroscopy in the near infrared (Near Infrared, NIR) in association with the method regression of partial least squares (PLS). Were used 42 samples between juices and fruit nectars commercially available in local shops. For the construction of the models were performed with reference analysis using high-performance liquid chromatography (HPLC) and refractometry for the analysis of soluble solids. Subsequently, the acquisition of the spectra was done in triplicate, in the spectral range 12500 to 4000 cm-1. The best models were applied to the quantification of analytes in study on natural juices and juice samples produced in the Paraná Southwest Region. The juices used in the application of the models also underwent physical and chemical analysis. Validation of chromatographic methodology has shown satisfactory results, since the external calibration curve obtained R-square value (R2) above 0.98 and coefficient of variation (%CV) for intermediate precision and repeatability below 8.83%. Through the Principal Component Analysis (PCA) was possible to separate samples of juices into two major groups, grape and apple and tangerine and orange, while for nectars groups separated guava and grape, and pineapple and apple. Different validation methods, and pre-processes that were used separately and in combination, were obtained with multivariate calibration models with average forecast square error (RMSEP) and cross validation (RMSECV) errors below 1.33 and 1.53 g.100 mL-1, respectively and R2 above 0.771, except for malic acid. The physicochemical analysis enabled the characterization of drinks, including the pH working range (variation of 2.83 to 5.79) and acidity within the parameters Regulation for each flavor. Regression models have demonstrated the possibility of determining both ascorbic acids, citric, malic and tartaric with successfully, besides sucrose, glucose and fructose by means of only a spectrum, suggesting that the models are economically viable for quality control and product standardization in the fruit juice and nectars processing industry.

Know-cap: um método para capitalização de conhecimento no desenvolvimento de software

The intensive character in knowledge of software production and its rising demand suggest the need to establish mechanisms to properly manage the knowledge involved in order to meet the requirements of deadline, costs and quality. The knowledge capitalization is a process that involves from identification to evaluation of the knowledge produced and used. Specifically, for software development, capitalization enables easier access, minimize the loss of knowledge, reducing the learning curve, avoid repeating errors and rework. Thus, this thesis presents the know-Cap, a method developed to organize and guide the capitalization of knowledge in software development. The Know-Cap facilitates the location, preservation, value addition and updating of knowledge, in order to use it in the execution of new tasks. The method was proposed from a set of methodological procedures: literature review, systematic review and analysis of related work. The feasibility and appropriateness of Know-Cap were analyzed from an application study, conducted in a real case, and an analytical study of software development companies. The results obtained indicate the Know- Cap supports the capitalization of knowledge in software development.

Uma nova abordagem do método Level Set baseada em conhecimento a e priori da forma

The analysis of fluid behavior in multiphase flow is very relevant to guarantee system safety. The use of equipment to describe such behavior is subjected to factors such as the high level of investments and of specialized labor. The application of image processing techniques to flow analysis can be a good alternative, however, very little research has been developed. In this subject, this study aims at developing a new approach to image segmentation based on Level Set method that connects the active contours and prior knowledge. In order to do that, a model shape of the targeted object is trained and defined through a model of point distribution and later this model is inserted as one of the extension velocity functions for the curve evolution at zero level of level set method. The proposed approach creates a framework that consists in three terms of energy and an extension velocity function λLg(θ)+vAg(θ)+muP(0)+θf. The first three terms of the equation are the same ones introduced in (LI CHENYANG XU; FOX, 2005) and the last part of the equation θf is based on the representation of object shape proposed in this work. Two method variations are used: one restricted (Restrict Level Set - RLS) and the other with no restriction (Free Level Set - FLS). The first one is used in image segmentation that contains targets with little variation in shape and pose. The second will be used to correctly identify the shape of the bubbles in the liquid gas two phase flows. The efficiency and robustness of the approach RLS and FLS are presented in the images of the liquid gas two phase flows and in the image dataset HTZ (FERRARI et al., 2009). The results confirm the good performance of the proposed algorithm (RLS and FLS) and indicate that the approach may be used as an efficient method to validate and/or calibrate the various existing equipment used as meters for two phase flow properties, as well as in other image segmentation problems.