Ph.D. thesis deals with testing precise use market approach to the valuation of software companies. Contains justification for the need of dealing with less traditional valuation methods, theoretical approaches for the use of market multipliers and existing knowledge to regression analysis is used to explain the multipliers. The analytical part is assembled its own regression equation to determine the multiplier in the years 2004-2010, the usability was tested in comparison with the use of a multiplier based on the median level of comparable sample of firms. There was also objective to determine the preferred type multiplier for software companies, which can be used e.g. when using scoring methods to adjust the multiplier. Complementing the thesis was to compare the quality of its own regression equations and equations published by Professor Damodaran. In most years through its own regression equations managed to establish a more precise multiplier than was achieved by using the mean value of a comparable sample of firms. We were also able, in most years to find suitable regression equation than the equation published by Professor Damodaran. Type multiplier P/E appeared to be significantly better to explain the regression equation in comparison with the other types of multiplier.

Fractal was first used in measuring the length of the coastline, with the fractal research and development, not only to break the traditional Archimedean geometry, but also to explain many scientific to ignore the complexity and nature of nonlinear phenomena structure .Fractal has been widely applied to such as physics, astronomy, geography and sociology and other fields, as a wave of interdisciplinary research in recent years. Coastal areas has always been cultural, economic and activities areas since ancient times. Coastal zone was land and sea for the interaction region by a variety of factors (ex: waves, tides, currents and wind, etc.) continue to function, derived from different coastal terrain. Therefore changes in the coast of the deep impact of humanity. Under the principle of the conservation and development, Coastal areas should be use of modern technology to prediction, analysis, assessment, planning, and management, so that a sustainable preservation of coastal resources. In this study, static and dynamic predict and simulation the coast shape base on fractal. The static part is observation of 29 beaches in South China coast. And collect and calculate the parameters and fractal dimensions of the coast. Through the shape of image processing and analysis of information, to find two generators of the coast. Through the data mining technology to identify the criteria for classification, and to simulation the coastline by generate iterations method. The dynamic part is based on hydraulic model¡¦s results, the use of traditional multiple linear regression and neural network to compare the dynamic prediction of the coastline. The results show that the use of neural networks to predict than the use of multiple linear regression, and effect of use difference angle (£c) to predict sub-coastlines than the effect of not use difference angle (£c) to predict, and add fractal dimension can effectively reduce the predict error and increase the degree of interpretation.

During a rod extrusion process, the oxidation layer and the segregation layer at the billet surface are possibly drawn inside the billet and become one part of the product, which portion with surface-permeation has to be cut off and results in a low productivity of the extrusion process. In this paper, the mechanism of permeation of the oxidation and segregation layers at the billet surface is explored using a finite element analysis. The effects of various extrusion conditions, such as extrusion ratio, inclination angle, billet length, the thickness of oxidation layer, etc., on the length of the portion with surface permeation are discussed systematically. Optimal inclination angles for a free surface-permeation product under different extrusion ratios are found out. An empirical equation for the optimal inclination angles is also proposed. Finally, experiments of extrusion of aluminum rods are conducted to validate the analytical model proposed.

This work consists of an observation of the relative data to lands of Santa Maria's city, initially starting from 23 variables that went along the process being left of side and indeed being only used 8. These varied went being related amongst themselves, seeking to find equations to explain the value used by the city hall as market value which is the determinant of the values of the several taxes the they be collected of the taxpayer. Through the use of the software PC GIVE, after a lot of attempts, it was gotten, to obtain equations for the value of the lots of the plant of values, for each one of the orientations of the section 11 that is located downtown. Two equations present as changeable of regression the area of the land and the value of the tax, another one, the area and the value for square meter used for collection of IPTU. The last of the equations resulted in three variables, being the area, the value for square meter and a variable maid starting from the observation of the distribution of the areas and sub zone and of her relationship with the value for square meter for effects of IPTU, call of SZ3. The obtaining of the equations represents the beginning of observations on the existent plant of values, of the need of his understanding and updating starting from the intrinsic knowledge of their variables, of the liberation need of more relative variables to the property and speed in the supply on the part of the entrusted section. It is a study that can be used in the study of a fairer determination of the value of the taxes, as well as for verification of values of the mass of data / Este trabalho consiste numa observação dos dados relativos a terrenos da cidade de Santa Maria, inicialmente a partir de 23 variáveis que ao longo do processo foram sendo deixadas de lado e efetivamente sendo utilizadas apenas 8. Estas variáveis foram sendo relacionadas entre si, visando encontrar equações para explicar o valor utilizado pela prefeitura como valor venal o qual é o determinante dos valores das diversas taxas a serem cobradas do contribuinte. Através da utilização do software PC GIVE, após muitas tentativas, conseguiu-se, obter equações para o valor dos lotes da planta de valores, para cada uma das orientações do setor 11 que se localiza no centro da cidade. Duas equações apresentam como variáveis de regressão a área do terreno e o valor do imposto, uma outra, a área e o valor por metro quadrado utilizado para cobrança de IPTU. A última das equações resultou em três variáveis, sendo a área, o valor por metro quadrado e uma variável criada a partir da observação da distribuição das zonas e subzonas e da sua relação com o valor por metro quadrado para efeitos de IPTU, chamada de SZ3. A obtenção das equações representa o início de observações sobre a planta de valores existente, da necessidade de sua compreensão e atualização a partir do conhecimento intrínseco de suas variáveis, da necessidade de liberação de mais variáveis relativas ao imóvel e rapidez no fornecimento por parte do setor encarregado. É um estudo que pode ser utilizado no estudo de uma determinação mais justa do valor dos impostos, como também para verificação de valores da massa de dados

Made available in DSpace on 2016-12-06T17:07:26Z (GMT). No. of bitstreams: 1 Dissertacao completa Juan.pdf: 6505760 bytes, checksum: 7d127797d401c25baf0f73c7c1254948 (MD5) Previous issue date: 2011-03-04 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The most accurate tool to assess cardiorespiratory fitness (CRF) is the cardiopulmonary exercise testing (CPET). However, for its use are required expensive equipment, trained technicians and time, restricting their use in population studies. Given this problem, this study aims to develop regression equations for predicting CRF of adults, using simple measurement variables. The study used data from 8293 subjects, 5291 men and 3235 women belonging to social classes A, B and C, aged between 18 and 65 years of Florianópolis, SC. In order to develop equations to predict the CRF, the data analyzed were: gender, age, height, body weight, resting heart rate, body mass index, hypertension, diabetes, dyslipidemia and smoking. After the statistical analyzes procedures seven equations were developed. The model GN3 (VO2peak = 71,147- 0,338 (age) +10,081 (genre) 0,766 (BMI) 0,103 (HRrest) + 1,452 (conditioning) 3,150 (smoking) 1,962 (dyslipidemia) 1,585 (hypertension) 2,134 (diabetes)) showed the highest statistical significance because this was the only model developed in which the cross-validation was performed and showed values of correlation (0.746), adjusted R2 (0.561) and SEE (6.88 ml / kg / min.) similar to the other two models that also showed good results in these three parameters. It is concluded that the models developed to predict CRF are feasible and practical for prediction of VO2peak in large populations and epidemiological studies or initial assessment of a single person when a CPET is not possible to be performed / A ferramenta mais precisa para avaliação da aptidão cardiorrespiratória (ACR) é o teste cardiopulmonar de esforço (TCPE). Entretanto, para sua utilização, são necessários equipamentos de custo elevado, técnicos bem treinados e tempo, restringindo sua utilização em estudos populacionais. Tendo em vista essa problemática, este estudo tem por objetivo o desenvolvimento de equações de regressão para predição da ACR de adultos, por meio de variáveis de simples mensuração. Foram utilizados os dados de 8.293 sujeitos, sendo 5.291 homens e 3.235 mulheres, pertencentes às classes sociais A, B e C, com idades entre 18 e 65 anos da cidade de Florianópolis, SC. Foram analisados os dados de: gênero, idade, estatura, massa corporal, frequência cardíaca pré-esforço, índice de massa corporal, hipertensão arterial, diabetes, dislipidemia e tabagismo. Após a realização dos procedimentos estatísticos, foram desenvolvidas sete equações, o modelo GN3 (VO2pico = 71,147 0,338 (idade) +10,081 (gênero) 0,766 (IMC) 0,103 (FCpré-esf) + 1,452 (condicionamento) 3,150 (tabagismo) 1,962 (dislipidemia) 1,585 (hipertensão) 2,134 (diabetes)) apresentou maior significância estatística por ser a única das equações desenvolvidas em que o procedimento de validação cruzada foi realizado e por apresentar valores de correlação (0,746), R2 ajustado (0,561) e EPE (6,88 ml/kg/min.) semelhantes aos outros dois modelos que também apresentaram bons resultados nesses três parâmetros. Conclui-se que os modelos desenvolvidos de predição da ACR são alternativa viável e prática para predição do VO2pico em grandes populações e estudos epidemiológicos ou avaliação inicial de uma única pessoa quando um TCPE não for possível

Made available in DSpace on 2017-07-10T17:48:33Z (GMT). No. of bitstreams: 1 Ricardo_A_Castilho.pdf: 317352 bytes, checksum: 5d346a654afe0e813bd22d1dea32d956 (MD5) Previous issue date: 2012-09-14 / The aim of this study was to determine the chemical and energetic composition of seven different meat and bone meals (MBM) for swine, adjustment and evaluation of the models to predict of metabolizable energy values (ME). 32 crossbreed swine were used in order to determine the ME castrated males, averaging 26.75 ± 1.45 kg initial weight, allotted in a randomized block design with eight treatments, four replicas and one animal per experimental unit. The treatments consisted of a basal diet and seven meat and bone meals, which replaced 20% of basal diet. The experimental period was done in 12 days, seven days for the animals to adapt to metabolic cages and the diets, and five days period of total, but separated collection of feces and urine, using the ferric oxide (Fe2O3) as fecal marker to define the beginning and end of the collection period. The chemical composition of the different MBM was determined. The dry matter, crude protein, ether extract, crude fiber, ash, calcium and phosphorus ranged from 92.09 to 97.25, 40.73 to 50.28, 8.68 to 12.07, 1.82 to 3.22, 31.90 to 44.66, 10.41 to 15.84 and 5.17 to 7.62%, respectively. The values of the pepsin digestibility of crude protein, NaOH 0.1 N 100 g-1 acidity and average geometric diameter ranged from 48.12 to 80.78%, 0.16 to 2.05 meq 100 g-1 and 809.00 to 1262.00 μm, respectively. The ME values of MBM ranged from 1645 to 2645 kcal kg-1. The prediction equations EM1 = -4233.58 + 0.4134EB +72P +89.62MM -159.06Ca; EM2 = 2087.49 +0.3446EB +31.82MM -189.18Ca; EM3 = 2140.13 + 0.3845EB -112.33Ca; EM4 = -346.58 +0.656EB; EM5 = 3221.27 +178.96EE -76.55MM and EM6 = 5356.45 -84.75MM, generated in this study were effective in predicting the ME from typical Brazilian MBM, calculated from their chemical composition. However, there was no validation of predict models to the values of ME from international researches of MBM / O objetivo proposto neste trabalho foi determinar a composição química e energética de diferentes farinhas de carne e ossos (FCO) para suínos, assim como ajuste e avaliação de modelos para predizer seus valores de energia metabolizável (EM) utilizando conjunto de dados independentes obtidos na literatura brasileira e internacional. Foram utilizados 32 suínos, mestiços, machos castrados, com peso médio inicial de 26,75 ± 1,45 kg, distribuídos em delineamento experimental de blocos ao acaso, com oito tratamentos, quatro repetições e um animal por unidade experimental. Os tratamentos consistiram de uma ração-referência e sete diferentes FCO, que substituíram em 20% a ração-referência. O período experimental teve duração de 12 dias, sendo sete dias de adaptação dos animais às gaiolas de metabolismo e às rações, e cinco dias de coleta de fezes e urina sendo empregada a coleta total de fezes mediante utilização de óxido férrico (Fe2O3) como marcador fecal para definir o início e o final do período de coleta. Foi determinada a composição química das diferentes FCO, e a matéria seca, proteína bruta, extrato etéreo, fibra bruta, matéria mineral, cálcio e fósforo variaram de 92,09 a 97,25; 40,73 a 50,28; 8,68 a 12,07; 1,82 a 3,22; 31,90 a 44,66; 10,41 a 15,84 e 5,17 a 7,62%, respectivamente. Os valores de digestibilidade em pepsina da proteína, acidez em NaOH 0,1 N 100 g-1 e o diâmetro geométrico médio variaram de 48,12 a 80,78%, 0,16 a 2,05 meq 100 g-1 e 809,00 a 1262,00 μm, respectivamente. Os valores de EM das FCO variaram de 1645 a 2645 kcal kg-1. As equações de predição EM1 = -4233,58 + 0,4134EB + 72PB + 89,62MM 159,06Ca; EM2 = 2087,49 + 0,3446EB + 31,82MM 189,18Ca; EM3 = 2140,13 + 0,3845EB 112,33Ca; EM4 = -346,58 + 0,656EB; EM5 = 3221,27 + 178,96EE 76,55MM e EM6 = 5356,45 84,75MM, ajustadas no presente estudo, foram válidas para predizerem os valores de energia metabolizável das farinhas de carne e ossos obtidas em pesquisas da literatura brasileira. Contudo, não houve validação dos modelos para predizer os valores de EM das FCO de pesquisas da literatura internacional