Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2017-05-30T11:58:58Z No. of bitstreams: 1 Luciano Lopes Vargas Amor_.pdf: 2139833 bytes, checksum: f496319c4cf4ede22ca6b861b4855664 (MD5) / Made available in DSpace on 2017-05-30T11:58:58Z (GMT). No. of bitstreams: 1 Luciano Lopes Vargas Amor_.pdf: 2139833 bytes, checksum: f496319c4cf4ede22ca6b861b4855664 (MD5) Previous issue date: 2017-01-12 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / CNPQ – Conselho Nacional de Desenvolvimento Científico e Tecnológico / O setor da construção civil é hoje um grande gerador de resíduos, o que impacta negativamente o meio ambiente. Tanto a fase de projeto quanto a de execução de obras podem ocasionar essa geração. Quantificar o resíduo gerado em uma obra é fundamental para ter um controle do problema. A madeira, principal material empregado no uso provisório nos canteiros de obras, pode gerar grande volume de resíduo, sendo que o mesmo é descartado tão logo a obra termina, havendo pouco reaproveitamento ou reciclagem da mesma. Quantificar esse resíduo pode facilitar a gestão e o controle do mesmo, possibilitando a sustentabilidade de um material nobre e importante para o desenvolvimento da construção civil. O objetivo deste estudo consiste em propor um modelo para estimar a geração de resíduos de madeira de uso provisório em obras de edifícios verticais, analisando suas características de projeto e de execução. A estratégia de pesquisa utilizada foi o estudo de casos múltiplos, com coleta de dados de obras localizadas na região metropolitana de Porto Alegre, feitos através de entrevistas, observações in loco e análise de projetos. Ao todo, a amostra estudada foi formada por 22 obras de 11 empresas. Como resultado, foram gerados modelos estatísticos, a partir de regressão múltipla, contendo a variável dependente - volume de resíduos de madeira – e as variáveis independentes relativas ao projeto – número de pavimentos, número de pavimentos em subsolo, volume de concreto executado – e à execução - comprimento linear de tapume em madeira, índice de uso da madeira na confecção dos equipamentos de proteção coletiva e instalações provisórias. O modelo proposto possui R² ajustado de 0,893, indicando que é capaz de explicar 89,3% do fenômeno. As variáveis que mais impactaram foram o número de pavimentos e o número de pavimentos em subsolo. O modelo permite que as empresas construtoras possuam maior controle sobre o volume de resíduo de madeira gerado pelas suas obras, e possibilita realizar ações efetivas em prol da gestão dos resíduos, havendo maior controle e a redução dos mesmos. Possibilita também aplicá-lo em outras obras de diferentes regiões, considerando as características de projeto e de execução locais. / The construction industry is today a great generator of waste, which has a negative impact on the environment. Both the design and execution phases of works can cause this generation. To quantify the waste generated in a work is fundamental to control the problem. Wood, the main material used temporarily in construction sites, can generate a large volume of waste, which is discarded as soon as the work is finished, with little reuse or recycling. Quantifying this waste can facilitate the management and control of the same, allowing the sustainability of a material which is important and noble for the development of civil construction. The aim of this study is to propose a model to estimate the generation of wood waste used temporarily in vertical construction, analyzing their design and execution characteristics. The research strategy used was the study of multiple cases, with data collection of works located in the metropolitan region of Porto Alegre, made through interviews, in situ observations and project analysis In all, the sample studied was formed by 22 works from 11 companies. As a result, statistical models were generated from multiple regression, containing the dependent variable - volume of wood waste - and the independent variables related to the project - number of floors, number of floors in subsoil, volume of concrete executed - and execution - linear length of siding in wood, the index use of wood in the production of collective protection equipment and temporary facilities. The proposed model has an adjusted R² of 0.893, indicating that it is able to explain 89.3% of the phenomenon. The variables that most impacted it were the number of floors and the number of floors in subsoil. The model allows construction companies to have greater control over the volume of wood waste generated by their works, and enables effective actions to be taken in favor of waste management, with greater control and reduction of waste. It can also be applied in other works from different regions, considering the local design and execution characteristics.

O propósito deste trabalho é estudar as forças de corte envolvidas no processo de fresamento de bordas de chapas utilizadas para a fabricação de tubos de aço com costura e como estas variam em função dos parâmetros de corte utilizados. O objetivo é correlacionar estas forças à qualidade do acabamento superficial das bordas usinadas, uma vez que esta é fundamental para a qualidade final da solda do tubo. Para isso, foi construído um dinamômetro de mesa para medição das forças, e os dados foram analisados através do Método da Regressão Linear Múltipla. Os resultados obtidos demonstraram que, tanto para a força de corte quanto para a rugosidade da superfície usinada, o parâmetro que mais influencia é o avanço por dente, seguido pela largura de corte, sendo que o que menos influencia é a velocidade de avanço. Estes resultados foram comprovados com êxito no processo industrial foco deste estudo através da medição da corrente elétrica dos motores dos eixos-árvore e da vibração dos mesmos. / This work aims to study the cutting forces involved in the edge milling process for welded pipes manufacturing and how these forces vary due to the cutting parameters. The objective is to create a relationship between these forces and the surface roughness of the machined edges, once it\'s fundamental to the pipe weld quality. To do this, it was designed and manufactured a dynamometer, and the data was analyzed statistically by the Linear Multiple Regression Method. The results show that for the cutting forces as well as the surface roughness, the most significant parameter is the feed per tooth, followed by the cutting width and the feed speed. These results were successfully proven on the industrial process that is the focus of this study, through the spindle motors electric current and its vibration.

Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2016-10-20T18:25:56Z No. of bitstreams: 1 2016 - Cristina Fernandes do Amarante.pdf: 776756 bytes, checksum: 758e9e88a96110176bd0dff013f8c6ac (MD5) / Made available in DSpace on 2016-10-20T18:25:56Z (GMT). No. of bitstreams: 1 2016 - Cristina Fernandes do Amarante.pdf: 776756 bytes, checksum: 758e9e88a96110176bd0dff013f8c6ac (MD5) Previous issue date: 2016-03-03 / CNPq / This study aimed to assess the factors involved in the determination of ecological events, including parasite aggregation, abundance, and dominance, via multivariate analysis using fish as a biological model. For this purpose, we used a database consisting of 3,746 fish specimens collected on the coast of Rio de Janeiro and from the Guandu river and evaluated their characteristics, habits, and associated parasites. Parasites were grouped into seven higher taxa: Nematoda, Monogenea, Cestoda, Trematoda, Acanthocephala, Hirudinea, and Crustacea. Aggregation was calculated using the dispersion index; abundance was determined by calculating the total number of parasites; and dominance was calculated using the Berger-Parker index. Data normality was tested using the Shapiro-Wilk test; group comparisons, when necessary, were performed using the Wilcoxon test or the Kruskal-Wallis test. Adjustments were made in the linear regression models for parasite aggregation in each parasite taxon evaluated and in the mixed-effect models to evaluate abundance and dominance using Poisson and Gaussian distributions, respectively. The factors inherent to the hosts, including sex, size, habitats, formation of schools, eating habits, and aquatic environments, were tested as potential explanatory variables of these ecological events. In addition, the parasite development stage and parasite taxa were included as explanatory variables in the analysis of the determinants of aggregation and dominance, respectively. In the mixed-effects model, the ecological events were considered an outcome variable, and fish species were considered a random variable. Regression coefficients were calculated in the study of aggregation, and parasite dominance and prevalence rate were estimated in the study of abundance. Significance was determined using confidence intervals (CI) and the Wald test. All calculations were performed using R software with a confidence interval of 95%. Statistically significant associations between levels of parasite aggregation and explanatory variables (factors inherent to the host and the percentage of larvae) varied according to the parasite taxon. The coefficient of determination was lower than 60% in all of the adjusted models, indicating that factors other than those analyzed may be associated with the level of parasite aggregation. Parasite abundance was significantly associated with sex, formation of schools, habitats, and host length, which were considered risk factors. The numerical dominance of parasites was significantly associated with host length and the taxa Nematoda, Trematoda, Monogenea, Hirudinea, and Crustacea. In addition, our results indicate that the mixed-effects model was more parsimonious compared with the classical model, underscoring the importance of choosing a statistical model that takes into consideration the nature of the data to avoid spurious results, especially when autocorrelations data were not considered. In general, our results point to the need for developing studies with more comprehensive databases and larger samples of parasite species, in which data on the life cycles of fish species and parasite taxa can be analyzed more thoroughly. / Este trabalho teve como objetivo avaliar fatores envolvidos na determina??o dos eventos ecol?gicos: agrega??o, a abund?ncia e a domin?ncia parasit?ria por meio de an?lises multivariadas, utilizando peixes como modelo biol?gico. Para tanto, foi utilizado um banco de dados composto por 3.746 esp?cimes de peixes, suas caracter?sticas e h?bitos e seus parasitos, provenientes do litoral do Rio de Janeiro e do Rio Guandu. Os parasitos foram agrupados em sete t?xons superiores: Nematoda, Monogenea, Cestoda, Trematoda, Acanthocephala, Hirud?nea e Crust?cea. A agrega??o foi calculada atrav?s do ?ndice de dispers?o; a abund?ncia pela quantidade total de parasitas computados; e a domin?ncia atrav?s do ?ndice de Berger Parker. A normalidade dos dados foi testada pelo teste de Shapiro Wilk e a compara??o de grupos, quando necess?ria, foi realizada pelo teste de Wilcoxon ou Kruskal-Wallis. Foram ajustados modelos de regress?o linear para a agrega??o parasit?ria para cada t?xon parasit?rio estudado e modelos de efeitos mistos para an?lise dos determinantes da abund?ncia e da domin?ncia, com distribui??o de Poisson e gaussiana, respectivamente. Os fatores inerentes aos hospedeiros tais como: sexo, tamanho, habitat, forma??o de cardumes, h?bitos alimentares e ambiente aqu?tico foram testados como poss?veis vari?veis explicativas desses eventos ecol?gicos. Al?m desses, na an?lise dos determinantes da agrega??o e domin?ncia foram inclu?dos os fatores est?dio de desenvolvimento do parasita e os t?xons parasit?rios como vari?veis explicativas, respectivamente. Os eventos ecol?gicos foram considerados vari?veis desfecho e nos modelos mistos a esp?cie de peixe como vari?vel aleat?ria. Foram calculados os coeficientes de regress?o nos estudos de agrega??o e domin?ncia parasit?ria e estimada a raz?o de preval?ncia no estudo de abund?ncia. A signific?ncia foi verificada por meio o intervalo de confian?a (IC) e do teste de Wald. Todos os c?lculos foram realizados utilizando o software R, com um IC de 95%. As associa??es estatisticamente significativas entre o n?vel de agrega??o parasit?ria e as vari?veis explicativas (fatores inerentes ao hospedeiro e propor??o de larvas) variaram conforme o t?xon parasit?rio. O coeficiente de determina??o foi inferior a 60%, em todos os modelos ajustados, indicando que outros, fatores al?m dos analisados, devam estar relacionados ao grau de agrega??o parasit?ria. A abund?ncia parasit?ria mostrou-se associada significativamente ?s vari?veis: sexo, forma??o de cardumes, habitat e comprimento do hospedeiro, que se comportaram como poss?veis fatores de risco. A domin?ncia num?rica de parasitos esteve associada significativamente ao comprimento do hospedeiro e aos t?xons Nematoda, Trematoda, Monogenea, Hirud?nea e Crust?cea. Os resultados mostraram que os modelos mistos foram mais parcimoniosos em rela??o aos modelos cl?ssicos, refor?ando a import?ncia da escolha de um modelo estat?stico mais adequado ? natureza dos dados, evitando-se resultados esp?rios, principalmente quando n?o se leva em conta a autocorrela??o dos dados..De um modo geral, os resultados deste estudo sinalizam para a necessidade de pesquisas com bancos de dados mais abrangentes e com amostras maiores de esp?cies de parasitos, nos quais as caracter?sticas do ciclo biol?gico das esp?cies de peixes e dos t?xons parasit?rios possam ser mais detalhados nas an?lises.

Advisors use placement test scores as a means of predicting students' proficiency in mathematics; however, there is a debate about how accurately these scores predict students' success. This nonexperimental quantitative study focused on one test, the Texas Success Initiative (TSI). The purpose of the study was to determine whether the test is an accurate predictor of students' success in college algebra for students in science, technology, engineering, and mathematics (STEM) majors, and whether students who took the test continued pursuing a STEM major. The theoretical framework for this study was Tinto's theory of retention. Statistical Package for the Social Sciences software was used to generate 500 random cases from 2,339 students ranging from 18 to 50 years of age who enrolled in Math 1414 during the Spring 2015 to Spring 2017 semesters at the Texas community college setting. Hierarchical multiple and logistic regression were performed to test whether the TSI scores significantly predicted students' math grade and retention. The hierarchical multiple regression revealed that the TSI score explained only 13% of the variance in math grades (R2 = .13). The logistic regression showed that the TSI score explained a variance of only 7% (Nagelkerke R2 = .07) and yielded a higher number of false positives in predicting retention in a STEM mathematics track after controlling for high school GPA, gender, ethnicity, and age. Findings revealed no significant relationship between TSI scores and students' academic success and retention. The results from this study may contribute to positive social change by providing academic advisors with additional knowledge of the best practice for placing students to achieve success in college math courses.

Despite an improved understanding of the disease, the prevalence of asthma and asthma-related morbidity continue to rise, particularly among minority and inner-city populations. Despite the growing epidemic of asthma, the surveillance of disease at the state or even local levels is very limited. Such information is very important to identify high-risk population groups and to design more effective community-based preventive interventions or risk management programs that may modify these trends. The study provided important information about spatial differences by the geographical area of residence and changes in asthma hospital admissions over time in the selected area. Environmental exposure to ambient air pollution by ambient particles, sulfur dioxide and ozone was a significant factor to explain the increase in asthma hospitalizations in simple regression analysis, but was not significant after the adjustment to area socioeconomic status characteristics. Sulfur dioxide was the only significant independent variable in a multiple adjusted regression model of hospitalizations for childhood asthma, however, more detailed environmental exposure assessment by calendar quarter suggested that ambient air pollution by sulfur dioxide is not significant variable in the multiple regression model. Future asthma prevention interventions and risk management programs should address population groups described by such socioeconomic status characteristics as poverty, unskilled workers, single parent families with children, families having no vehicle available, people living in less crowded households or socially excluded conditions without adequate family members or relatives support, and also people residing in houses heated by fuel. Developed complex area socioeconomic deprivation index was shown to be a significant predictor of hospital admissions for childhood and adult asthma by zip code area of residence. Predictive loglinear regression model for asthma hospitalizations was further validated by using standard statistical model validation techniques to estimate the accuracy of prediction with new independent dataset outside of our study area. Increase in complex area socioeconomic deprivation index by 1 extra unit could explain the increase by 7.9% in childhood and 7.5% in adult asthma hospitalization in 1997, 8.3% in childhood and 7.2% in adult asthma hospitalizations in 1998, and 7.7% in childhood and 6.7% in adult asthma hospitalizations in 1999 respectively. Predictive log-linear regression model could be successfully applied to develop more effective asthma prevention interventions and risk management programs and to address more sensitive population groups within specific high risk geographical areas.

Florida Gulf Coast University (FGCU) is located along the coast of the Gulf of Mexico in southern Florida, in an area vulnerable to hurricane strikes. At FGCU, The Office of Housing and Residence Life (OHRL) is responsible for three locations on- and off-campus where students reside in apartment or suite-style housing. Due to the large number of students with varying backgrounds, the OHRL staff members have become essential personnel during severe weather events that may cause safety concerns for the residents living in OHRL housing locations. This study's purpose is to assess the Residence Life staff on their level of preparedness in the event of a hurricane strike, including carrying out severe weather procedures and maintaining the safety of residents. After running multiple regression analyses, bivariate correlations, and t-tests, this study indicates that those with a higher hurricane knowledge and experience score were more likely to be females and that one's preparedness confidence was the single independent variable found to have a relationship with, and was considered a predicting variable for, the dependent variable (preparedness as an RA/RD). Further analysis was done to consider specific answers on RA's and RD's knowledge of FGCU procedures in comparison to recent campus emergency management studies to consider the overall effectiveness of their procedures. Findings indicate that improvements can be made in the areas concerning their knowledge of when to evacuate, their duties for evacuation, and how the university communicates information. This study and survey can be adapted further to expand on student vulnerabilities to include a more broad range of students, schools and teacher's vulnerabilities, and expanded to include more natural hazards.

台灣IC設計產業的產值佔全球IC產值約6%，意謂著台灣IC設計產業還有很大的成長空間，但也代表台灣業者必須面對全球性的激烈競爭。而台灣IC設計業者的主要競爭對手，就是美國與中國的IC供應商。 2011年第一季台灣IC設計公司的獲利大幅衰退，第二季又因淡季與匯率的雙重影響，淨利持續往下探底。但是美國與中國的相關業者，在同時期的狀況卻不是如此，究竟台灣IC設計產業出了什麼問題？ 本研究使用多元迴歸，分析台美中三地IC供應商的財務資訊，藉以找出影響獲利的關鍵因素。以下列出本文的三個關鍵議題：(1)比較各國業者獲利模式的差異；(2)探討各國業者的經營模式；(3)提供實務的建議給台灣業者。 關鍵詞：IC設計、多元迴歸、經營模式 / Basing on output value, Taiwan IC Design Industry has a nearly 6% global market share. It means that there is a large growing space for Taiwan’s, which must face the strong competition from international rivals. The major competitors come from USA and China for Taiwan IC design houses. In first quarter of 2011, many Taiwan IC design houses had an obvious decline in profit. The net incomes ran down continuously under the influences of low season and exchange rate next quarter. At the same time, USA and China made a difference with Taiwan. What happen to Taiwan IC design industry? In order to find the elements of profit by area, this research has analyzed the financial data of Taiwan, USA, and China IC suppliers by “Multiple Regression”. There are three key subjects in this thesis: The first is to find the differences of individual profit pattern. The second is to work out the business models in each country. The third is to give the practical suggestions to Taiwan’s. Keywords: IC design, Multiple Regression, business model

Given the increase in popularity of Lifetime Value (LTV), the argument is that the topic will assume an increasingly central role in research and marketing. As such, the decision to assess the state of the field in Lifetime Value Modelling, and outline challenges unique to choice researchers in customer relationship management (CRM). As the research has argued, there are an excess of issues and analytical challenges that remain unresolved. The researcher hopes that this thesis inspires new answers and new approaches to resolve LTV. The scope of this project covers the building of a LTV model through multiple regression. This thesis is exclusively focused on modelling tenure. In this regard, there are a variety of benchmark statistical techniques arising from survival analysis, which could be applied, to tenure modelling. Tenure prediction will be looked at using survival analysis and compared with "crossbreed" data mining techniques that use multiple regression in concurrence with statistical techniques. It will be demonstrated how data mining tools complement the statistical models, and show that their mutual usage overcomes many of the shortcomings of each singular tool set, resulting in LTV models that are both accurate and comprehensible. Bank XYZ is used as an example and is based on a real scenario of one of the Banks of South Africa. / Thesis (M.Sc. (Computer Science))--North-West University, Vaal Triangle Campus, 2009.

Syfte: Corporate Social Responsibility (CSR) är idag ett  globalt allmänt känt begrepp och Svenska företag anses ligga i framkant med sitt ansvarastagande. Huvudsyftet med uppsatsen är att analysera huruvida ett stort engagemang inom CSR-frågor ger Svenska företag en förändring i företagsvärde och om det påverkar deras lönsamhet. Ett approximativt Tobins Q används som mått på företagsvärde och Return On Assets (ROA) används som mått på lönsamhet.   Metod: En kvantitativ deduktiv metod där undersökning av sekundärdata ska mynna ut i en prövning om huruvida det går att påvisa ett samband mellan CSR och företagsvärde och/eller lönsamhet. Sekundärdata inhämtas ifrån Folksams Index för ansvarsfullt företagande 2009 samt företagens årsredovisningar från 2011. Historiska aktiepriser har hämtats ifrån Nasdaq OMX Nordics hemsida. Sedan inhämtade data har undersökts väljs en passande analysmetod, vilket i detta fall blev multipel tvärsnittsregression.   Resultat och slutsats: Studien visar att det finns en statistiskt signifikant korrelation mellan ett högt CSR och approximativt Tobins Q där ett ökat CSR-arbete ger minskat företagsvärde. Vidare visar studien även en statistiskt signifikant positiv korrelation mellan CSR och ROA, där modellen dock uppvisar brister. En generell förklaring till detta är att det inte finns någon global begreppsbenämning av CSR, vilket försvårar mättningar.  Utöver detta upptäcktes svårigheter i att bestämma ett svenskt bolags marknadsvärde eftersom företag generellt inte har alla sina aktier på börsen och A-aktier är svårvärderade då de sällan omsätts.   Förslag till fortsatt forskning: Ett förslag är en tvärsnittsregression, liknande denna studie där olika sätt att definiera ROA och storlek jämförs. Det vore även intressant att genom en tidsserieanalys undersöka när i tiden CSR-arbetet ger utslag på Tobins Q samt ROA.   Uppsatsens bidrag: Identifiera påverkande faktorer för att bidra till en framtida benchmark av ekonometriska modeller vid mätningar av CSR. / Aim: Corporate Social Responsibility (CSR) is a widely known global concept and Swedish enterprises are considered to be cutting edge when it comes to taking responsibility. The main objective is to analyze if a large involvement in CSR gives Swedish companies a change in company value, and if it affects their profitability. An approximate Tobin’s Q is used to measure firm value and Return On Assets (ROA) is used to measure profitability.   Method: A quantitative deductive method where investigation of secondary data will lead to an examination whether it is possible to demonstrate a relationship between CSR and firm value and/or profitability. Our secondary data is retrieved from Folksam Index for corporate responsibility 2009 and the corporate annual reports from 2011. Historical stock prices were collected from Nasdaq OMX Nordic webpage. After examination of the data a suitable analysis method will be chosen, which in this case resulted in multiple regression analysis.   Result and Conclusions: The study shows that there is a statistically significant correlation between a high CSR and the approximate Tobin’s Q where increased CSR returns a reduced value of the firm. The study also shows a statistically significant positive correlation between CSR and ROA, where the model, however, have shortcomings. A general explanation for this is that there is no global concept for CSR and thus it is difficult to measure. In addition, difficulties were discovered regarding determining market value of Swedish firms as companies generally do not have all of their shares on the stock market and that there are different classes of shares.   Suggestions for future research: One suggestion is a cross-sectional regression, similar to this study that compares different ways to define ROA and size. It would also be interesting to through a time series analysis be able to examine when, time wise, CSR activities makes an impact on Tobin’s Q and ROA.   Contribution of the thesis: Identify influencing factors to contribute for a future benchmark of econometric models when measuring CSR.

Syftet med denna studie är att ta reda på huruvida det föreligger en skillnad i företagsprestation mellan familjeföretag och icke-familjeföretag. För att göra detta har en kvantitativ metod tillämpats. Undersökningsåren är 2003-2011 och företagen som har undersökts har varit små och medelstora företag på den svenska marknaden. Slutsatsen är att det inte föreligger någon prestationsskillnad mellan familjeföretag och icke-familjeföretag. / The purpose with this study is to find out whether there is a difference in firm performance between family firms and non-family firms. In order to fulfill the purpose we have used a quantitative method. The examined period was 2003-2011 and the investigated firms have been small and medium sized firms on the Swedish market. The conclusion drawn is that there is no significant difference in the firm performance between family firms and non-family firms.