Neste trabalho é estimado o valor do índice de mortes por quilômetro percorrido pela frota de veículos rodoviários no Brasil e em cada estado da federação nos anos de 2004 a 2008. Para determinar os valores da quilometragem anual média dos veículos - parâmetro necessário para estimativa do índice de mortes por veículo - quilômetro - desenvolveu-se um método apropriado tomando como referência a quantidade de combustível vendida pelas distribuidoras em cada estado. Os estados foram classificados em relação a todos os índices associados à mortalidade viária, assim como analisadas as relações entre o índice de mortes por quilômetro e o nível de desenvolvimento econômico dos estados. Constata-se que a situação da mortalidade no trânsito é um grave problema nacional, sobretudo nos estados mais pobres, onde os índices de mortes por veículo-quilômetro atingem números extremamente elevados. O fato positivo é que os números apontam para uma redução contínua do índice de mortes por quilômetro, que passou de 68,26 para 55,87 mortes por bilhão de quilômetros no país entre 2004 e 2008 (queda de 18,15%). Isso se deve ao aumento da quilometragem percorrida, função do aumento da frota, do crescimento econômico e de certa estabilização do número de mortes; este último em decorrência de ações em âmbito nacional implementadas pelo governo federal, bem como de ações específicas levadas a efeito em alguns estados. / This research estimated the value of the rate of deaths per kilometer traveled by the road vehicles fleet in Brazil and in each of the states of the federation, in the years 2004 to 2008. To determine the values of the average annual distance traveled by vehicles - parameter needed to estimate the rate of deaths per vehicle-kilometers - an appropriate methodology has been developed with reference on the amount of fuel sold by distributors in every state. The states were ranked according to all indexes associated with road fatalities, and the relationship between the rate of deaths per kilometer and the level of economic development of states, expressed by the motorization rate and the GDP per capita, is analyzed. It appears that the situation of traffic mortality is a serious national problem, especially in the poorest states, where the rate of deaths per vehicle-km reaches very high figures. The positive fact is that the numbers point to a continued reduction in the rate of deaths per kilometer, which decreased from 68.26 to 55.87 deaths per billion km in the country between 2004 and 2008 (a decrease of 18.15%). This is due to the increase on the distance traveled, a result of the increased fleet and economic growth, and also of some stabilization in the number of deaths; being the last a consequence of nationwide actions implemented by the federal government, and also of specific actions carried out in some states.

Multiples techniques d'optimisation ont été implémentées afin de surmonter le compromis entre la complexité des algorithmes du raisonnement et l'expressivité du langage de formulation des ontologies. Cependant les compagnes d'évaluation des raisonneurs continuent de confirmer l'aspect imprévisible et aléatoire des performances de ces logiciels à l'égard des ontologies issues du monde réel. Partant de ces observations, l'objectif principal de cette thèse est d'assurer une meilleure compréhension du comportement empirique des raisonneurs en fouillant davantage le contenu des ontologies. Nous avons déployé des techniques d'apprentissage supervisé afin d'anticiper des comportements futurs des raisonneurs. Nos propositions sont établies sous forme d'un système d'assistance aux utilisateurs d'ontologies, appelé "ADSOR". Quatre composantes principales ont été proposées. La première est un profileur d'ontologies. La deuxième est un module d'apprentissage capable d'établir des modèles prédictifs de la robustesse des raisonneurs et de la difficulté empirique des ontologies. La troisième composante est un module d'ordonnancement par apprentissage, pour la sélection du raisonneur le plus robuste étant donnée une ontologie. Nous avons proposé deux approches d'ordonnancement; la première fondée sur la prédiction mono-label et la seconde sur la prédiction multi-label. La dernière composante offre la possibilité d'extraire les parties potentiellement les plus complexes d'une ontologie. L'identification de ces parties est guidée par notre modèle de prédiction du niveau de difficulté d'une ontologie. Chacune de nos approches a été validée grâce à une large palette d'expérimentations. / Highly optimized reasoning algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL (DL). Nevertheless, reasoning remains a challenge in practice. In overall, a reasoner could be optimized for some, but not all ontologies. Given these observations, the main purpose of this thesis is to investigate means to cope with the reasoner performances variability phenomena. We opted for the supervised learning as the kernel theory to guide the design of our solution. Our main claim is that the output quality of a reasoner is closely depending on the quality of the ontology. Accordingly, we first introduced a novel collection of features which characterise the design quality of an OWL ontology. Afterwards, we modelled a generic learning framework to help predicting the overall empirical hardness of an ontology; and to anticipate a reasoner robustness under some online usage constraints. Later on, we discussed the issue of reasoner automatic selection for ontology based applications. We introduced a novel reasoner ranking framework. Correctness and efficiency are our main ranking criteria. We proposed two distinct methods: i) ranking based on single label prediction, and ii) a multi-label ranking method. Finally, we suggested to extract the ontology sub-parts that are the most computationally demanding ones. Our method relies on the atomic decomposition and the locality modules extraction techniques and employs our predictive model of the ontology hardness. Excessive experimentations were carried out to prove the worthiness of our approaches. All of our proposals were gathered in a user assistance system called "ADSOR".

O Sistema Único de Saúde apresenta a descentralização da gestão das ações de saúde como uma das principais estratégias para a reorganização do setor. O poder municipal se apresenta como o principal responsável pela prestação da assistência da atenção à saúde, garantindo os princípios da universalidade e da integralidade do atendimento em todos os níveis da atenção. As Normas Operacionais Básicas e as Normas de Assistência à Saúde estabeleceram os mecanismos que impulsionaram o processo de descentralização das ações de saúde. O Estado do Ceará iniciou o processo de descentralização das ações de saúde para os municípios ao aderir ao Programa de Sistemas Unificados e Descentralizados de Saúde (SUDS). O estudo descreve este processo de descentralização, com ênfase na microrregião de Baturité, a partir da descentralização político-administrativa, da organização da regionalização e hierarquização como a identificação de mudanças no processo de atenção à saúde, a partir das ações de atenção à saúde da mulher, à saúde da criança, de controle de tuberculose e de controle de hipertensão O referencial do estudo foi a base normativa da Norma Operacional de Assistência à Saúde - 2001 (NOAS/ 2001). As condições oferecidas aos municípios para efetivar a descentralização das ações de saúde contribuíram para uma melhor estruturação dos serviços de saúde, resultado numa maior cobertura em ações básicas a partir da estratégia da Saúde da Família, e melhor organização da atenção em termos de hierarquização e regionalização como maior percentual de aplicação de recursos financeiros próprio. / The Brazilian Unified Health System presents the decentralization of management of health actions as one of the main strategies for reorganization of the sector. City Hall proves to be the main agent accountable for provision of health care support, guaranteeing the principles of universality and completeness of services at all levels of care. The Basic Operational Norms and Health Care Norms established the mechanisms which drove the process of decentralization of health actions. The state of Ceará began the process of decentralization of health actions to municipal administrations upon adhering to the Unified Health System (SUDS). This study describes this process of decentralization, with emphasis on the Baturité District, in terms of its political-administrative decentralization, organization of regionalization and ranking as identification of changes in the process of health care, based on health care services for women, children, tuberculosis control and control of high blood pressure. The benchmark for the study was the normative framework of the Health Care Operational Norms - NOAS/2001. The conditions offered to municipal administrations to perform decentralization of healthcare contributed to improvement in the Family Health structure, resulting in greater coverage in basic care from the standpoint of Family Health and better organization of care in terms of hierarchy and regionalization such as best percentage of investment of own financial resources.

基於憲法的保障以及選民的負託，立法委員得以在會期內，就政府施政得失要求官員答詢解釋。而立委由於來自不同的社會、政治背景，自然各有其獨特的質詢方式。因此，國會實為「中斷言談」(Interruption)之研究提供一適切領域。 　　雖然「中斷言談」之分析業已引起廣泛興趣，但甚少有關於政治人物之研究。本論文之目的，即旨在基於社會語言學的架構中，由「中斷言談」的行為，以瞭解權力運作與政黨、種族，官階差異之間的關係。 / With a mandate by the Constitution and the electorate, lawmakers can inquire the government officials' explanations for policies within the parliamentary sessions,　tt is only natural that lawmakers coming from diverse social and political realms may show distinct styles of questioning. Thus, parliament does offer a fit province for interruption analysis. 　　Despite the increasing interest in studies of interruption, few have been dovoted to this territory in a political light.　It is then the purpose of this thesis to develop an analysis grounded within sociolinguistic framework, seeing how the exercise of power relates to some variables such as party identity, ethnic origin, and official ranking through the interruptive behaviors.

Fouille des opinion, une sous-discipline dans la recherche d'information (IR) et la linguistique computationnelle, fait référence aux techniques de calcul pour l'extraction, la classification, la compréhension et l'évaluation des opinions exprimées par diverses sources de nouvelles en ligne, social commentaires des médias, et tout autre contenu généré par l'utilisateur. Il est également connu par de nombreux autres termes comme trouver l'opinion, la détection d'opinion, l'analyse des sentiments, la classification sentiment, de détection de polarité, etc. Définition dans le contexte plus spécifique et plus simple, fouille des opinion est la tâche de récupération des opinions contre son besoin aussi exprimé par l'utilisateur sous la forme d'une requête. Il ya de nombreux problèmes et défis liés à l'activité fouille des opinion. Dans cette thèse, nous nous concentrons sur quelques problèmes d'analyse d'opinion. L'un des défis majeurs de fouille des opinion est de trouver des opinions concernant spécifiquement le sujet donné (requête). Un document peut contenir des informations sur de nombreux sujets à la fois et il est possible qu'elle contienne opiniâtre texte sur chacun des sujet ou sur seulement quelques-uns. Par conséquent, il devient très important de choisir les segments du document pertinentes à sujet avec leurs opinions correspondantes. Nous abordons ce problème sur deux niveaux de granularité, des phrases et des passages. Dans notre première approche de niveau de phrase, nous utilisons des relations sémantiques de WordNet pour trouver cette association entre sujet et opinion. Dans notre deuxième approche pour le niveau de passage, nous utilisons plus robuste modèle de RI i.e. la language modèle de se concentrer sur ce problème. L'idée de base derrière les deux contributions pour l'association d'opinion-sujet est que si un document contient plus segments textuels (phrases ou passages) opiniâtre et pertinentes à sujet, il est plus opiniâtre qu'un document avec moins segments textuels opiniâtre et pertinentes. La plupart des approches d'apprentissage-machine basée à fouille des opinion sont dépendants du domaine i.e. leurs performances varient d'un domaine à d'autre. D'autre part, une approche indépendant de domaine ou un sujet est plus généralisée et peut maintenir son efficacité dans différents domaines. Cependant, les approches indépendant de domaine souffrent de mauvaises performances en général. C'est un grand défi dans le domaine de fouille des opinion à développer une approche qui est plus efficace et généralisé. Nos contributions de cette thèse incluent le développement d'une approche qui utilise de simples fonctions heuristiques pour trouver des documents opiniâtre. Fouille des opinion basée entité devient très populaire parmi les chercheurs de la communauté IR. Il vise à identifier les entités pertinentes pour un sujet donné et d'en extraire les opinions qui leur sont associées à partir d'un ensemble de documents textuels. Toutefois, l'identification et la détermination de la pertinence des entités est déjà une tâche difficile. Nous proposons un système qui prend en compte à la fois l'information de l'article de nouvelles en cours ainsi que des articles antérieurs pertinents afin de détecter les entités les plus importantes dans les nouvelles actuelles. En plus de cela, nous présentons également notre cadre d'analyse d'opinion et tâches relieés. Ce cadre est basée sur les évidences contents et les évidences sociales de la blogosphère pour les tâches de trouver des opinions, de prévision et d'avis de classement multidimensionnel. Cette contribution d'prématurée pose les bases pour nos travaux futurs. L'évaluation de nos méthodes comprennent l'utilisation de TREC 2006 Blog collection et de TREC Novelty track 2004 collection. La plupart des évaluations ont été réalisées dans le cadre de TREC Blog track.

The essence of the most advantageous tender (MAT) is to allow the procuring authorities to carry out a comprehensive assessment on the technical merits, quality, function, terms and prices of tenders in accordance with the judging criteria listed on the tendering document. In this way, the award of contract can be determined that ensures the best quality within the budget and encourages good competition among tendering parties while eliminate vicious undercutting. Scandals arose from recent procurement projects such as the ETC procurement project, High Speed Rail vibration reduction project, the procurement of Kuan-hwa Fast Attack Boat Guide-Missile (F-ABG), and the construction of the southern courtyard of the National Palace museum have attracted great attention. On March 22, 2006, the Premier announced that ¡§Award to the lowest tender should be made the rule while the MAT should be the exception¡¨ in future government procurement projects. This announcement highlighted the flaws and problems yet to be improved within the existing system. After studying related literatures, conducting a thorough analysis of the current situation and different case studies of the tender selection process, this paper conducted a survey among the people involved in government procurement to find out how they think of the selection of the most advantageous tender legally and in practice, the function of the tender selection committee, the management and the efficiency of the selection process. Suggestions for improvement are put forward based on the findings and analysis. The survey found that the Ranking Method while considering the price factor and the Overall Evaluation Score Method are the most frequently used tendering methods in the past experience of our interviewees. Price may be a crucial factor in determining the most advantageous tender. The most important factor in the award selection process is technical merits. The process of selecting the most advantageous tender is most susceptible to flaws and scandals. The inappropriate appointment of the committee members is the main cause of these flaws. In practice, the selection of committee members itself is of great difficulty. The expertise, personal bias, as well as one¡¦s understanding of the procurement could all affect the fairness and credibility of the tendering process. Besides these committee members, top officials in the procuring institutions also play important roles in the decision-making process. Cognitive differences among interviewees in the understanding of the legal institutions of the MAT selection, the functions of the selection committee, the execution of the MAT selection, the management mechanisms of the MAT selection may be caused by elements such the institutions they work for, the nature of their works, the job title, the training hours they received, whether they are professionally accredited. Yet, different years of experience did not contribute to such differences. People with different job title, nature of work, years of experience, and training hours did cause significant difference in the understanding of the efficiency of the MAT selection. Working at different institutions and professional accreditation, however, did not result in such difference. Based on the above findings, a way forward has been provided: a set of comprehensive regulations for the most advantageous tender selection should be established. A standard of procedure and module should be designed. The decision authority of the procuring institution should be defined in order to actually fulfill the need of the procurement. A comprehensive list of suggested professionals should be compiled to assist different kinds of procurements. This list would ensure the fairness of the selection process. Specify the judging criteria for prices, weights of evaluating elements, and the scoring principle. Determine a set of reasonable scoring method for prices. Provide professional training for procurement professionals. Enhance the efficiency of the MAT selection. Committee members should receive professional training in order to improve the credibility of the selection process. A performance evaluation mechanism should be established in order to improve efficiency and put the government¡¦s budget to the best use.

This thesis deals with random-size subset selection and ranking procedures• • • )|(derived through likelihood ratios, mainly in terms of the P -approach.Let IT , . .. , IT, be k(> 2) populations such that IR.(i = l, . . . , k) hasJ_ K. — 12the normal distribution with unknwon mean 0. and variance a.a , where a.i i i2 . . is known and a may be unknown; and that a random sample of size n^ istaken from . To begin with, we give procedure (with tables) whichselects IT. if sup L(0;x) >c SUD L(0;X), where SÎ is the parameter space1for 0 = (0-^, 0^) ; where (with c: ß) is the set of all 0 with0. = max 0.; where L(*;x) is the likelihood function based on the total1sample; and where c is the largest constant that makes the rule satisfy theP*-condition. Then, we consider other likelihood ratios, with intuitivelyreasonable subspaces of ß, and derive several new rules. Comparisons amongsome of these rules and rule R of Gupta (1956, 1965) are made using differentcriteria; numerical for k=3, and a Monte-Carlo study for k=10.For the case when the populations have the uniform (0,0^) distributions,and we have unequal sample sizes, we consider selection for the populationwith min 0.. Comparisons with Barr and Rizvi (1966) are made. Generalizai<j<k Jtions are given.Rule R^ is generalized to densities satisfying some reasonable assumptions(mainly unimodality of the likelihood, and monotonicity of the likelihoodratio). An exponential class is considered, and the results are exemplifiedby the gamma density and the Laplace density. Extensions and generalizationsto cover the selection of the t best populations (using various requirements)are given. Finally, a discussion oil the complete ranking problem,and on the relation between subset selection based on likelihood ratios andstatistical inference under order restrictions, is given. / digitalisering@umu

Evaluation of contaminated sites based on human health and environmental hazards is an essential task for the proper management of the contaminated sites. A large number of contaminated sites have been waiting for remediation all over the World. However, contaminated site remediation is generally a difficult, time consuming and very expensive process. Ranking systems for contaminated sites are useful tools to determine the remedial priority and to manage the available remediation budget in the most efficient way before the costly remedial actions are taken. To be able to have a reliable ranking result, accurate and sufficient amount of data on the nature of contamination and site characteristics are needed, which are usually not available at the early identification phases of contaminated sites, and the available data is mostly limited and vague in nature. If the available data are inaccurate or vague, the corresponding remedial ranking results can be questionable, as well. Most of the current ranking methodologies overlook the vagueness in the parameter values. The main objective of this study is to develop a remedial priority ranking system for contaminated sites by taking vagueness in parameter values into account. Within this context, development of the new Remedial Priority Ranking System, RPRS, aims to define and evaluate the current and possible environmental risks by using sufficiently comprehensive readily available parameters describing the fate and transport of contaminants in the environment and considering vagueness in those parameter values. The consideration of vagueness in parameter values was included in remedial prioritization of contaminated sites by means of fuzzy set theory. A fuzzy expert system was built up for the evaluation of contaminated sites and it was developed in Microsoft Office Excel 2007 platform, with the intention of making the evaluation fast and user friendly. Hypothetical and real case study applications are presented to test ease of use and validity of the results of the developed methodology. Results of case study applications revealed that the developed RPRS can serve as an alternative method for remedial priority ranking of contaminated sites.

Environmental policymaking is a difficult issue for governments. It is desirable to have the decisions based on the results of quantitative and analytical studies. On the other hand, by their very nature, many such decisions have political aspects, whose subtleties are difficult to be captured by quantitative approaches alone. It is left to the political establishments to decide how best to allocate the efforts to improve environmental conditions. In this respect, evaluating the countries by generating environmental indices and the subsequent ranking of the countries with respect to those indices is a common practice. Perhaps the best known environmental sustainability index, the Environmental Performance Index-2008 (EPI-2008), is a composite index that comprises 6 core policy categories and 25 indicators. While recognizing the qualitative aspects of such decision making, in order to support and guide the policymaking process, we develop analytical tools to assist the process. We carefully delineate our models to be limited only to the provable quantitative properties of the available objective data. However, such data are processed into more meaningful statements concerning the available options. Specifically, using EPI-2008, meaningful mathematical models that shed further light onto the country sustainability measures are developed.

Producing since 1995, Bozova Field is a mature oil field to be re-evaluated. When evaluating an oil field, the common approach followed in a reservoir simulation study is: Generating a geological model that is expected to represent the reservoir / building simulation models by using the most representative dynamic data / and doing sensitivity analysis around a best case in order to get a history-matched simulation model. Each step deals with a great variety of uncertainty and changing one parameter at a time does not comprise the entire uncertainty space. Not only knowing the impact of uncertainty related to each individual parameter but also their combined effects can help better understanding of the reservoir and better reservoir management. In this study, uncertainties associated only to fluid properties, rock physics functions and water oil contact (WOC) depth are examined thoroughly. Since sensitivity analysis around a best case will cover only a part of uncertainty, a full factorial experimental design technique is used. Without pursuing the goal of a history matched case, simulation runs are conducted for all possible combinations of: 19 sets of capillary pressure/relative permeability (Pc/krel) curves taken from special core analysis (SCAL) data / 2 sets of pressure, volume, temperature (PVT) analysis data / and 3 sets of WOC depths. As a result, historical production and pressure profiles from 114 (2 x 3 x 19) cases are presented for screening the impact of uncertainty related to aforementioned parameters in the history matching of Bozova field. The reservoir simulation models that give the best match with the history data are determined by the calculation of an objective function / and they are ranked according to their goodness of fit. It is found that the uncertainty of Pc/krel curves has the highest impact on the history match values / uncertainty of WOC depth comes next and the least effect arises from the uncertainty of PVT data. This study constitutes a solid basis for further studies which is to be done on the selection of the best matched models for history matching purposes.