SAFO (Sistema Agregador de Ferramentas de Operação de Rede) é um ambiente aberto e integrado que visa auxiliar na tarefa de gerenciamento de redes. O sistema e o resultado de um estudo de vários utilitários já existentes e a seleção de um conjunto mínimo necessário para a realização de monitoramento e manipulação dos componentes da rede. Os utilitários selecionadas foram integradas num típico ambiente, onde o usuário interage com o sistema através de uma interface gráfica baseada em janelas, facilitando o uso dos utilitários disponíveis. O grande número de parâmetros inerentes a cada utilitário podem inibir ou reduzir seu uso, por isso foi implementado um sistema de help on-line para todos os utilitários com o objetivo de auxiliar na sua utilização. Muitas vezes, as mensagens decorrentes da execução dos utilitários são de difícil interpretação ou são desconhecidas, o que torna o seu resultado praticamente inútil. Para tentar minimizar este problema, o SAFO oferece uma Função Assistente, que auxilia nesta interpretação interagindo com um Banco de Recomendações, onde e apresentada a mensagem resultante da execução do utilitário, as prováveis causas que deram origem a mensagem e, sempre que possível, apresenta sugestões e/ou comentários de ações que podem ser tomadas para eliminar o determinado problema. Com estas funções, o SAFO pretende ser um utilitário útil na complexa tarefa de gerenciamento de rede servindo tanto a operadores experientes como aos inexperientes, auxiliando e agilizando na execução de suas tarefas diárias de manter a rede operacional e num nível de performance satisfatório. / SAFO (Integrated System of Tools for Network Operation) is an open and integrated system built up to aid in network management work. The system results from a study of many existing tools and from the selection of a minimum set of tools necessary for network monitoring and handling. The selected tools were integrated in an environment where the user interacts with the system through a graphic interface based on windows, to facilitate the use of available tools. The high number of parameters inferent to each tool can inhibit or reduce its use, so an on-line help system for all tools was developed. Usually the messages resulting from execution of the tools are difficult to understand or are unknown, making the results quite useless. Trying to minimize this problem, the SAFO offers a Function Assistant, that helps in this interpretation interacting with a Base of Recommendations, where the resulting message , the likely cause which originated the message and, if possible, suggestions and/or comments of actions that can be taken to eliminate the problem are shown. With these functions. the SAFO intends to become an useful tool in the complex task of managing networks providing support for both experienced and beginer users, helping and speeding up the network operator's daily task of maintaining the network operational and with good performance.

Introdução: As morbidades e mortalidade relacionadas ao uso de medicamentos (MRM) representam um desafio para a saúde pública e são consequências da utilização não efetiva e insegura dos medicamentos. Estudos internacionais mostram como as MRM afetam pacientes internados no hospital e como podem ser evitadas na maioria dos casos. Entretanto, pouco é conhecido sobre as MRM na prática ambulatorial. Estas pesquisas têm abordado as consequências clínicas negativas para os usuários de medicamentos e sugerem que vultosas somas de recursos financeiros são utilizadas para manejar e resolver estas morbidades ao redor do mundo. Já no Brasil, o conhecimento sobre as MRM é escasso em ambas perspectivas e o seu impacto econômico é desconhecido. Objetivo: O propósito desta Tese foi obter uma estimativa sobre os gastos com morbidade e mortalidade associadas ao uso de medicamentos no Brasil, utilizando modelos farmacoeconômicos (teórico e empírico). Métodos: Foram considerados como morbidades relacionadas a medicamentos os novos problemas de saúde advindos da utilização de uma farmacoterapia (por exemplo, reações adversas, dependência a medicamentos e intoxicação por overdose) e as falhas terapêuticas (por exemplo, efeito insuficiente dos medicamentos e problemas de saúde não tratados). Foram conduzidos dois estudos utilizando abordagens distintas (bottom up e top down) na coleta de dados sobre custos. O primeiro estimou, por meio da análise do tipo microcosting, os custos para resolução de Morbidades Relacionadas a Medicamentos em casos identificados no serviço de emergência de um hospital universitário. Resultados: O custo médio para tratar cada um desses pacientes é de aproximadamente R$ 2.200. Reações adversas a medicamentos, falta de adesão à farmacoterapia e problemas resultantes da administração de doses incorretas foram as causas mais prevalentes das morbidades. No segundo estudo, um modelo do tipo cost-of-illness foi traduzido e adaptado para a realidade brasileira, e então um painel com especialistas (farmacêuticos e médicos) foi realizado para estimar a proporção de pacientes que experimentam uma MRM, a proporção de MRM evitáveis e as consequências clínicas resultantes desta morbidade. A partir disto, o custo das MRM para o sistema de saúde brasileiro foi modelado, baseado em estatísticas nacionais sobre o consumo de serviços de saúde. Os especialistas julgaram as morbidades relacionadas a medicamentos como um evento bastante frequente. De acordo com esta estimativa central, as MRM seriam responsáveis por um uso considerável de recursos, podendo chegar a 23% do orçamento público anual total destinado à saúde no Brasil. Para cada real gasto com medicamentos, pelo Ministério da Saúde no Brasil, cinco reais seriam gastos para resolver as MRM. Da mesma forma foi verificado que mais da metade dos casos seriam evitáveis. Conclusão: As MRM são, de fato, um problema de ordem econômica-orçamentária, clínica e humanística para os usuários de medicamentos e para o sistema de saúde brasileiro, e que é imperiosa a criação de políticas públicas e ações capazes de evitar os danos gerados pelo uso não racional de medicamentos, garantir a segurança dos pacientes, bem como uma melhor alocação de recursos em saúde. / Introduction: Drug related morbidities and mortality (DRM) is a challenge to public health due to the consequences of ineffective and unsafe medicines use. It is well known that the DRM are common among hospitalized patients, and are preventable to some extent, but little is known about DRM outside the hospital. In Brazil, the knowledge on the subject is scarce and its economic impact is unknown. However, international studies suggest that DRM result in considerable amounts of financial resources to manage and resolve these morbidities around the world and the negative clinical consequences for those who use medicines. Aim: In this thesis, the drug related morbidities include: new medical problems arising from the pharmacotherapy (adverse effects, addiction to drugs and intoxication by overdose) and therapeutic failure (e.g. insufficient drug effect and untreated health problems). Methods: Two studies were conducted using different methodologies. The first study was a cross-sectional study, based on a microcosting analysis, where patients admitted to a teaching hospital emergency were identified in order to determine the proportion of people seeking health services due to a DRM, and, consequently, to obtain the cost for manage these patients. Results: It was observed that 14.6% of patients visiting an emergency service, do so because of a DRM and the average cost to treat each of these patients is approximately R$ 2,000. Adverse drug reactions, lack of adherence to pharmacotherapy and problems resulting from the administration of incorrect doses were the most prevalent causes of morbidity. In the second study, a cost-of-illness model was translated to portuguese and adapted, and then a panel of experts (pharmacists and physicians) was conducted to estimate the proportion of patients experiencing DRM, the proportion of preventable DRM, and the negative outcomes resulting from this morbidity. From this, the DRM cost for the Brazilian Health System was modeled, based on national statistics on the consumption of health services. Experts have judged drug-related morbidities to be a fairly frequent event. According to central estimate, the DRM would be responsible for a considerable use of resources, being able to reach 23% of the total annual public health budget in Brazil. For each real (R$ 1,00) spending on medicines, by the Brazilian Ministry of Health, five reais (R$ 5,00) would be spent to manage the DRM. Likewise, in this study it was also verified that more than half of the cases would be avoidable. In the second, a panel of experts (pharmacists and physicians) was performed to estimate the proportion of patients experiencing an DRM, DRM preventable ratio and the clinical consequences of this morbidity. From this, the cost of DRM for the Brazilian health system was modeled, based on national statistics on the consumption of health services. Conclusion: Based on these and many other results presented in this thesis, it is concluded that the DRM are indeed, an economic, clinical and humanistic issue for those who use medicines and to the Brazilian health system, and that is overriding the establishment of public policies and actions to prevent the damage caused by the non-rational use of medicines to ensure patient safety and to the best allocation of health resources.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-04-05T15:39:48Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) everson_verissimo_dissertacao.pdf: 2502424 bytes, checksum: 0f98e5de2dc7eab2b63e0c0ccd1a6703 (MD5) / Made available in DSpace on 2017-04-05T15:39:48Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) everson_verissimo_dissertacao.pdf: 2502424 bytes, checksum: 0f98e5de2dc7eab2b63e0c0ccd1a6703 (MD5) Previous issue date: 2013-08-14 / CAPES / Apesar dos avanços em técnicas da Aprendizagem de Máquina, muito esforço ainda é despendido na concepção de um classificador que consiga aprender bem uma dada tarefa. Váriasabordagenssurgiramparaatenuaresseesforçoatravésdacombinaçãodeclassificadores. A combinação de classificadores permite que o projetista do sistema não necessite escolher o classificador mais eficiente dentre vários, nem descartar classificadores que podem possuir informaçãoimportantesobreatarefa. Estratégiasdecombinaçãopermitemqueváriosalgoritmos trabalhem em conjunto a fim de melhorar a precisão de todo o sistema numa dada tarefa. O objetivodestetrabalhoéproporummétododecombinaçãodeclassificadoresqueagregueas vantagensdeduasabordagens: máquinasdecomitêemisturasdeespecialistas. Asmáquinasde comitêvisamcombinarclassificadoresqueresolvempadrõesdetodooespaçodecaracterísticas. Quandocombinados,lidammelhorcomsuperfíciesdedecisãocomplexasqueumclassificador individualmente e são capazes de incorporar novos classificadores mesmo após o uso. Nas MisturasdeEspecialistas,cadaumdosclassificadoreséumespecialistaemumadeterminada áreadoespaçodecaracterísticaseemboraresolvapadrõesdetodooespaçodecaracterísticas,se dedicaaresolverproblemasbemmaissimples,atingindoumdesempenhosuperioremrelaçãoa umclassificadorsópararesolveroproblematodo. OmétodopropostoéchamadodeComitê de Misturas de Especialistas e corresponde a uma máquina de comitês formada por misturas de especialistas. Assim, o método herda a escalabilidade e a tolerância a erros das máquinas decomitêeasimplicidadedetreinamentodasmisturasdeespecialistas. Experimentosforam realizadosparaverificarasuperioridadedocomitêdemisturasdeespecialistassobretrêsfatores de mudanças entre as misturas: técnicas de decomposição de tarefas, número de grupos e características. / Despite the advance of the techniques in Machine Learning, much effort is taken to conceiveaclassifierthatlearnswellaparticulartask. Severalapproacheshavebeenproposed to attenuate this effort through combination of classifiers. Combination of classifiers allows thatnotonlythemosteffectiveclassifiersbechosenamongseveral,nordiscardclassifiersthat mayhaveimportantinformationaboutthetask. Strategiesallowthatseveralalgorithmswork togetherinordertoimproveaccuracyofthewholesystemgivenatask. Thegoalofthiswork is to propose a method to combine classifiers that put together advantages of two approaches: committeemachinesandmixtureofexperts. CommitteeMachinesaimtocombineclassifiersthat solvepatternsfromalloverthespace. Whencombined,theydealbetterwithcomplexdecision boundaries than a single classifier and they are capable of incorporating new classifiers even aftertheuse. Inthemixtureofexperts,eachoneoftheclassifiersisanexpertinacertainregion ofthefeaturespaceand,althoughitsolvespatternsfromthewholefeaturespace,theclassifier is dedicated to solve well simpler problems, reaching a better performance in comparison to a unique classifier to solve the entire problem. Also, there is a hybrid approach, the mixture of experts, in which each classifier solves patterns from the entire space as a committe, but it is trained with patterns from a smaller region, similarly to modular neural networks. The proposedmethodisentitledCommitteeofMixtureofExpertsandcorrespondstoacommittee machineformedbymixtureofexperts. So,themethodinheritsscalabilityanderrortolerance from committee machines and training simplicity from the mixture of experts. Experiments weremadetoverifythesuperiorityofthecommitteeofmixturesofexpertsoverthreefactorsof changingamongthemixtures: taskdecompositionmethods,numberofgroupsandfeatures.

Context. Gene regulatory network (GRN) inference is an important and challenging problem in bioinformatics. A variety of machine learning algorithms have been applied to increase the GRN inference accuracy. Ensemble learning methods are shown to yield a higher inference accuracy than individual algorithms. Objectives. We propose an ensemble GRN inference method, which is based on the principle of Mixture-of-Experts ensemble learning. The proposed method can quantitatively measure the accuracy of individual GRN inference algorithms at the network motifs level. Based on the accuracy of the individual algorithms at predicting different types of network motifs, weights are assigned to the individual algorithms so as to take advantages of their strengths and weaknesses. In this way, we can improve the accuracy of the ensemble prediction. Methods. The research methodology is controlled experiment. The independent variable is method. It has eight groups: five individual algorithms, the generic average ranking method used in the DREAM5 challenge, the proposed ensemble method including four types of network motifs and five types of network motifs. The dependent variable is GRN inference accuracy, measured by the area under the precision-recall curve (AUPR). The experiment has training and testing phases. In the training phase, we analyze the accuracy of five individual algorithms at the network motifs level to decide their weights. In the testing phase, the weights are used to combine predictions from the five individual algorithms to generate ensemble predictions. We compare the accuracy of the eight method groups on Escherichia coli microarray dataset using AUPR. Results. In the training phase, we obtain the AUPR values of the five individual algorithms at predicting each type of the network motifs. In the testing phase, we collect the AUPR values of the eight methods on predicting the GRN of the Escherichia coli microarray dataset. Each method group has a sample size of ten (ten AUPR values). Conclusions. Statistical tests on the experiment results show that the proposed method yields a significantly higher accuracy than the generic average ranking method. In addition, a new type of network motif is found in GRN, the inclusion of which can increase the accuracy of the proposed method significantly. / Genes are DNA molecules that control the biological traits and biochemical processes that comprise life. They interact with each other to realize the precise regulation of life activities. Biologists aim to understand the regulatory network among the genes, with the help of high-throughput techonologies, such as microarrays, RNA-seq, etc. These technologies produce large amount of gene expression data which contain useful information. Therefore, effective data mining is necessary to discover the information to promote biological research. Gene regulatory network (GRN) inference is to infer the gene interactions from gene expression data, such as microarray datasets. The inference results can be used to guide the direction of further experiments to discover or validate gene interactions. A variety of machine learning (data mining) methods have been proposed to solve this problem. In recent years, experiments have shown that ensemble learning methods achieve higher accuracy than the individual learning methods. Because the ensemble learning methods can take advantages of the strength of different individual methods and it is robust to different network structures. In this thesis, we propose an ensemble GRN inference method, which is based on the principle of the Mixture-of-Experts ensemble learning. By quantitatively measure the accuracy of individual methods at the network motifs level, the proposed method is able to take advantage of the complementarity among the individual methods. The proposed method yields a significantly higher accuracy than the generic average ranking method, which is the most accurate method out of 35 GRN inference methods in the DREAM5 challenge. / 0769607980

This PhD thesis examines the status of ‘expert knowledge’ in the history of U.S. asymmetric, or ‘counterinsurgency’ (COIN), warfare during the last century. The historical rise of expert influence has so far been neglected in the study of wars within the field of International Relations and the thesis will give us an indication of the importance and utility of expert knowledge. With a specific focus on the campaigns in the Philippines (1899-1902), Vietnam (1954-75) and Iraq (2003-11), the central research question guiding the project is as follows: “What were the conditions for the evolution, the constitution and the use of ‘outside’ expert knowledge in U.S. counterinsurgency campaigns?” The thesis claims that military and academic ‘experts’ had a key role in framing and implementing the problem-sets and solutions to these conflicts. They have, in Iraq in particular, played an important part in developing the campaigns’ ex-post-facto justification of success. Within the framework of organisational knowledge production, this knowledge does not necessarily play an instrumental role for the military. Instead, it can also serve a merely symbolic function, demonstrating to the audience and stakeholders within the political environment that the organisation is willing to solve the problems the insurgents pose, but without any interest in long-term utilisation of the knowledge. This thesis argues that across time, from the beginning of the Philippine-American War in 1898 to the withdrawal of U.S. forces from Iraq in 2011, ‘counterinsurgency’ has developed from a tactical and operational tool, used instrumentally to fight insurgencies, to a strategy or even ‘ideology’ in its own right. Whilst the methods or techniques of counterinsurgency remain basically the same, expert knowledge is increasingly used in modern – that is post-World War II – campaigns to support a politico-strategic narrative.

Jusqu’à présent, les travaux sur la réception de la théorie darwinienne en France ont surtout porté sur le monde savant. Ils ont conclu à un échec de sa diffusion. En élargissant cette étude à la société dans son ensemble, on découvre qu’il s’agit, en réalité, d’un succès. Le rôle du débat public dans l’introduction du darwinisme en France fait l’objet d’une première partie. Les thèses darwiniennes suscitent d’autant plus la curiosité d’un large public, à Paris et en province, qu’elles paraissent suggérer des réponses à des questions qui sont dans l’air du temps. Une deuxième partie analyse les enjeux soulevés par le darwinisme dans la société, qui expliquent pour une bonne part son audience. Au-delà des réflexions sur l’évolution suscitées par Darwin dans la plupart des pays, le contexte politique et social entraîne des interprétations et des peurs spécifiquement françaises. Une troisième partie étudie les réticences du monde savant. Malgré l’engouement public pour le darwinisme, la science officielle reste à l’écart du débat. Finalement, il a fallu qu’un vaste débat public s’instaure et que le darwinisme devienne l’enjeu d’affrontements politiques pour que Darwin soit reconnu par les institutions académiques parisiennes. / Most works on the reception of Darwin’s theory in France have heretofore chiefly focused on the scientific community. They conclude that the theory failed to spread to the whole country. By widening the scope of this analysis to French society as a whole, we realise that, in fact, Darwin’s theory had successfully circulated in most social circles. In the first part of this study, we will analyse how the public debate contributed to introducing Darwinism in France. Darwinian theories were all the more appealing to the wider public, both in Paris and in the rest of the country, as they seemed to suggest answers to topical concerns. Then, we will study the issues raised by Darwinism in French society, and how these issues can account for Darwinism’s wide audience. In addition to the reflexions on evolution triggered by Darwin’s theory in most countries, the social and political context paved the way for specifically French interpretations and fears. The third part of this work deals with the scientific reluctance to adopt Darwin’s theory. We can therefore conclude that it is precisely the fact that Darwinism triggered a vast public debate, and became a central political issue, that allowed this theory to be acknowledged by Parisian academic institutions.

This work focuses on the use of expert systems in engineering and medicine with the use of eHealth. The aim is the creation of an expert system that utilizes available systems for measuring physiological parameters of a patient, and helps him with the primary examination before visiting the doctor. Part of this work is a description of the problems of expert systems, descriptions of the eHealth and system testing in a doctor’s office. Work created in collaboration with Honeywell.

This thesis deals with the controversial species of the animal, the European beaver, which is perceived very differently in the human society. In the history, this especially protected animal was extincted on the territory of the Czech Republic and actually his activites frequently come into conflicts of human interests so the comeback of beavers is not always welcome. The thesis describes the process of changing situation of the population of beavers in the Czech Republic and important aspect of their existence. The practical part of the thesis is pursued on the research, which is focused on the perception of the problematic issues of the european beaver by the experts in the Czech Republic. This research is based on seven expert interviews and also on the survey. The goal of my research was to gain comprehensive informations about the perception of experts and about their recommendations how to moderate the situation and harmonize the human - beaver relationship. The main contribution of this thesis is the cooperation all key goups of experts and primary the most important is that results from the research can be used as a material for the future expert debates. Key words: European beaver, species protection, experts, nature preservation, Czech Republic

The diploma thesis focuses on so-called "experts on education". In simple terms, "experts on education" are speakers who comment on educational issues in the media. However, they are typically not experts on education in the true sense of the word but quasi-experts who have a strong media interest, who are often connected to politics, whose speech is often burdened by simplification or generalisation, and who often emphasise certain beliefs in their communications, which are individually challenged in detail by the diploma thesis. The thesis attempts to answer whether only the aforementioned quasi-experts comment on educational issues in the Czech media environment or whether true experts, meaning scientifically qualified professionals, can also be heard. The aim of the diploma thesis is therefore to identify who comments on educational issues in the Czech media space and to analyse how these speakers talk about education. The thesis is divided into a theoretical part and an analytical part. The theoretical part aims to define the basic concepts that are worked with in the thesis - specifically, the concepts of "expert on education" and "pedagogical discourse". The analytical part is based on the analysis of the outputs of the mass media, first presenting the methodology used and then the results...

Der 4. Sachstandsbericht des IPCC im Jahre 2007 enthielt die deutliche Warnung an die globale Weltgemeinschaft, dass der Klimawandel bereits im Gange ist und umfassende Maßnahmen notwendig sein werden, um seine Folgen für Mensch und Umwelt im erträglichen Maß zu halten. Nicht zuletzt ist dies auch ein deutliches Signal an die Weltwirtschaft, sich intensiv mit dem Thema Klimawandel auseinander zu setzen und daraus geeignete Maßnahmen insbesondere zur Anpassung an den Klimawandel abzuleiten. Der Sachstandbericht des IPCC richtet seinen Appell aber auch an die Regionen, sich mit der Thematik auseinanderzusetzen, um Anpassungsstrategien an die besonderen klimatischen lokalen Besonderheiten zu entwickeln. Im Rahmen des Projektes REGKLAM, dem Regionalen Klimaanpassungsprogramm, werden in der Modellregion Sachsen eben diese Forderungen umgesetzt. Als ein für diese Region bedeutsamer Wirtschaftszweig ist unter anderem die Baubranche identifiziert worden. Zur Verschaffung eines ersten Überblicks über die Auswirkungen des Klimawandels und mögliche Anpassungsstrategien der Baubranche in der Modellregion Dresden sind Experteninterviews mit Vertretern von Bauunternehmen durchgeführt worden. Deren Aussagen werden mit Hilfe der Inhaltsanalyse untersucht, um neben den Erkenntnissen für die Region einen Abgleich mit der gegenwärtig existierenden Literatur zu diesem Thema vorzunehmen. In der wissenschaftlichen Literatur wird die Baubranche als Gewinner des Klimawandels angesehen. Die Ursache liegt in dem enormen Schadenspotential, das durch den Klimawandel verursacht wird und daher sich daher positiv auf den Absatz der Baubranche niederschlagen soll. Dass diese Aussage kritisch zu betrachten ist, zeigt die vorliegende wissenschaftliche Abhandlung, die die einzelnen Wertschöpfungsstufen, Stakeholder und unternehmerischen Rahmenbedingungen näher betrachtet, um daraus die von der Baubranche selber wahrgenommen Chancen und Risiken zu identifizieren.