Uma Análise de métodos de distriubuição de atributos em comitês de classificadores

The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles

Avaliação de arquitetura de agentes emocionais : uma abordagem baseada em métrica de qualidade e na influência das emoções sobre usuários

There is a need for multi-agent system designers in determining the quality of systems in the earliest phases of the development process. The architectures of the agents are also part of the design of these systems, and therefore also need to have their quality evaluated. Motivated by the important role that emotions play in our daily lives, embodied agents researchers have aimed to create agents capable of producing affective and natural interaction with users that produces a beneficial or desirable result. For this, several studies proposing architectures of agents with emotions arose without the accompaniment of appropriate methods for the assessment of these architectures. The objective of this study is to propose a methodology for evaluating architectures emotional agents, which evaluates the quality attributes of the design of architectures, in addition to evaluation of human-computer interaction, the effects on the subjective experience of users of applications that implement it. The methodology is based on a model of well-defined metrics. In assessing the quality of architectural design, the attributes assessed are: extensibility, modularity and complexity. In assessing the effects on users' subjective experience, which involves the implementation of the architecture in an application and we suggest to be the domain of computer games, the metrics are: enjoyment, felt support, warm, caring, trust, cooperation, intelligence, interestingness, naturalness of emotional reactions, believabiliy, reducing of frustration and likeability, and the average time and average attempts. We experimented with this approach and evaluate five architectures emotional agents: BDIE, DETT, Camurra-Coglio, EBDI, Emotional-BDI. Two of the architectures, BDIE and EBDI, were implemented in a version of the game Minesweeper and evaluated for human-computer interaction. In the results, DETT stood out with the best architectural design. Users who have played the version of the game with emotional agents performed better than those who played without agents. In assessing the subjective experience of users, the differences between the architectures were insignificant

Abordagem de construção de arquitetura homogênea para comitês via meta-aprendizagem

In the world we are constantly performing everyday actions. Two of these actions are frequent and of great importance: classify (sort by classes) and take decision. When we encounter problems with a relatively high degree of complexity, we tend to seek other opinions, usually from people who have some knowledge or even to the extent possible, are experts in the problem domain in question in order to help us in the decision-making process. Both the classification process as the process of decision making, we are guided by consideration of the characteristics involved in the specific problem. The characterization of a set of objects is part of the decision making process in general. In Machine Learning this classification happens through a learning algorithm and the characterization is applied to databases. The classification algorithms can be employed individually or by machine committees. The choice of the best methods to be used in the construction of a committee is a very arduous task. In this work, it will be investigated meta-learning techniques in selecting the best configuration parameters of homogeneous committees for applications in various classification problems. These parameters are: the base classifier, the architecture and the size of this architecture. We investigated nine types of inductors candidates for based classifier, two methods of generation of architecture and nine medium-sized groups for architecture. Dimensionality reduction techniques have been applied to metabases looking for improvement. Five classifiers methods are investigated as meta-learners in the process of choosing the best parameters of a homogeneous committee.

Análise das medidas de boa e má diversidade na construção de comitês de classificadores através de metaheurísticas de otimização multiobjetivo

Committees of classifiers may be used to improve the accuracy of classification systems, in other words, different classifiers used to solve the same problem can be combined for creating a system of greater accuracy, called committees of classifiers. To that this to succeed is necessary that the classifiers make mistakes on different objects of the problem so that the errors of a classifier are ignored by the others correct classifiers when applying the method of combination of the committee. The characteristic of classifiers of err on different objects is called diversity. However, most measures of diversity could not describe this importance. Recently, were proposed two measures of the diversity (good and bad diversity) with the aim of helping to generate more accurate committees. This paper performs an experimental analysis of these measures applied directly on the building of the committees of classifiers. The method of construction adopted is modeled as a search problem by the set of characteristics of the databases of the problem and the best set of committee members in order to find the committee of classifiers to produce the most accurate classification. This problem is solved by metaheuristic optimization techniques, in their mono and multi-objective versions. Analyzes are performed to verify if use or add the measures of good diversity and bad diversity in the optimization objectives creates more accurate committees. Thus, the contribution of this study is to determine whether the measures of good diversity and bad diversity can be used in mono-objective and multi-objective optimization techniques as optimization objectives for building committees of classifiers more accurate than those built by the same process, but using only the accuracy classification as objective of optimization

Analisando o desempenho do ClassAge: um sistema multiagentes para classificação de padrões

The use of multi-agent systems for classification tasks has been proposed in order to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems. As a result, the NeurAge system was proposed. This system is composed by several neural agents which communicate and negotiate a common result for the testing patterns. In the NeurAge system, a negotiation method is very important to the overall performance of the system since the agents need to reach and agreement about a problem when there is a conflict among the agents. This thesis presents an extensive analysis of the NeurAge System where it is used all kind of classifiers. This systems is now named ClassAge System. It is aimed to analyze the reaction of this system to some modifications in its topology and configuration

Ambientes residenciais controlados por dispositivos móveis: estudo, concepção e desenvolvimento de um aplicativo considerando a diversidade

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Association of diabetes and cigarette smoke exposure on the glycemia and liver glycogen of pregnant Wistar rats

Purpose: To evaluate cigarette smoke exposure and/or diabetes association effects on the glycemia and liver glycogen levels of pregnant Wistar rats. Methods: 60 adult rats were randomly distributed into (n= 10/group): non-diabetic exposed to filtered air (G1); non-diabetic exposed to cigarette smoke only before pregnancy (G2); non-diabetic exposed to cigarette smoke before and during pregnancy (G3); diabetic exposed to filtered air (G4); diabetic exposed to cigarette smoke only before pregnancy (G5), and diabetic exposed to cigarette smoke before and during pregnancy (G6). Glycemia was determined at days 0 and 21 of pregnancy. Liver samples were collected for liver glycogen determinations. Results: At day 21 of pregnancy, glycemia was higher in G5 and G6 compared to G4 group. G2 (2.43 +/- 0.43), G3 (3.20 +/- 0.49), G4 (2.62 +/- 0.34), G5 (2.65 +/- 0.27) and G6 groups (1.94 +/- 0.35) presented decreased liver glycogen concentrations compared to G1 (4.20 +/- 0.18 mg/100mg liver tissue) (p<0.05). G5 and G6 groups presented decreased maternal weight gain and litter weight. Conclusions: Severe diabetes and cigarette smoke exposure, alone or associated, caused impairment in liver glycogen storage at term pregnancy. Due to the fact that liver glycogen storages were considered determinant for glucose tolerance, it is relevant to point out a rigid clinical glycemic control and to stop smoking so earlier in pregnancy programming.

Comitês de Classificadores para o Reconhecimento Multibiométrico em Dados Biométricos Revogáveis

This work discusses the application of techniques of ensembles in multimodal recognition systems development in revocable biometrics. Biometric systems are the future identification techniques and user access control and a proof of this is the constant increases of such systems in current society. However, there is still much advancement to be developed, mainly with regard to the accuracy, security and processing time of such systems. In the search for developing more efficient techniques, the multimodal systems and the use of revocable biometrics are promising, and can model many of the problems involved in traditional biometric recognition. A multimodal system is characterized by combining different techniques of biometric security and overcome many limitations, how: failures in the extraction or processing the dataset. Among the various possibilities to develop a multimodal system, the use of ensembles is a subject quite promising, motivated by performance and flexibility that they are demonstrating over the years, in its many applications. Givin emphasis in relation to safety, one of the biggest problems found is that the biometrics is permanently related with the user and the fact of cannot be changed if compromised. However, this problem has been solved by techniques known as revocable biometrics, which consists of applying a transformation on the biometric data in order to protect the unique characteristics, making its cancellation and replacement. In order to contribute to this important subject, this work compares the performance of individual classifiers methods, as well as the set of classifiers, in the context of the original data and the biometric space transformed by different functions. Another factor to be highlighted is the use of Genetic Algorithms (GA) in different parts of the systems, seeking to further maximize their eficiency. One of the motivations of this development is to evaluate the gain that maximized ensembles systems by different GA can bring to the data in the transformed space. Another relevant factor is to generate revocable systems even more eficient by combining two or more functions of transformations, demonstrating that is possible to extract information of a similar standard through applying different transformation functions. With all this, it is clear the importance of revocable biometrics, ensembles and GA in the development of more eficient biometric systems, something that is increasingly important in the present day

Evaluation of level of DNA damage in blood leukocytes of non-diabetic and diabetic rat exposed to cigarette smoke

The objective of the present study was to use the comet assay to evaluate the steady-state level of DNA damage in peripheral blood leukocytes from diabetic and non-diabetic female Wistar rats exposed to air or to cigarette smoke. A total of 20 rats were distributed into four experimental groups (n= 5 rats/group): non-diabetic (control) and diabetic exposed to filtered air; non-diabetic and diabetic exposed to cigarette smoke. A pancreatic beta (beta)-cytotoxic agent, streptozotocin (40 mg/kg b.w.) was used to induce experimental diabetes in rats. Rats placed into whole-body exposure chambers were exposed for 30 min to filtered air (control) or to tobacco smoke generated from 10 cigarettes, twice a day, for 2 months. At the end of the 2-month exposure period, each rat was anesthetized and humanely killed to obtain blood samples for genotoxicity analysis using the alkaline comet assay. Blood wleukocytes sampled from diabetic rats presented higher DNA damage values (tail moment =0.57 +/- 0.05; tail length =19.92 +/- 0.41, p < 0.05) compared to control rats (tail moment =0.34 +/- 0.02; tail length= 17.42 +/- 0.33). Non-diabetic (tail moment =0.43 +/- 0.04, p > 0.05) and diabetic rats (tail moment= 0.41 +/- 0.03, p > 0.05) exposed to cigarette smoke presented non-significant increases in DNA damage levels compared to control group. In conclusion, our data show that the exposure of diabetic rats to cigarette smoke produced no additional genotoxicity in peripheral blood cells of female Wistar rats. (c) 2007 Elsevier B.V. All rights reserved.

O território das novas economias e suas implicações socioambientais na comunidade pesqueira de Barra do Cunhaú

This dissertation aims to analyze the territory of the new economies and their social implications in the district of Barra do Cunhaú / Canguaretama. We used techniques of qualitative research (document analysis, interviews and observations in situ). It was found that the changes occurring in the territory are linked to the pressures caused by factors internal and external orders, such as the deployment and expansion of projects for development of tourism and shrimp in place, which led to the advancement of real estate speculation and intensification of the deforestation of areas of mangroves along the estuary of the river Curimataú / Cunhaú, contributing to the abandonment of fishing and agriculture for livelihood in this community, therefore, the loss of traditional knowledge applied in the conduct of this activity. It was also found that changes in the use of territory and resources threaten biodiversity and have contributed to the reduction of fish stocks of the Municipality of Canguaretama and thus bar the Cunhaú, especially the stock of crab, Uca (ucides cardatus ). The results indicated that the production in large scale in a market economy, as is the shrimp, ignores the search for balance in regional settings. Thus the environmental disturbances resulting from the shrimp and tourism have consequences for social and cultural aspects, directly affecting the livelihood of the residents of Barra do Cunhaú. Companies of shrimp and related to tourism have absorbed the fishermen who are leaving the fishing activity. However, the low level of education associated with age are factors that make them far outside the framework of employees of these companies. Therefore, it is necessary to create conditions that allow the development of the shrimp and tourism without putting at risk the sustainability of the region

Neonatally induced diabetes: liver glycogen storage in pregnant rats

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

O complexo geográfico em os sertões de Euclides da Cunha

The relation between geography and literature if has shown sufficiently promising.When considering that as much geography how much literature, constructs representations of the space from its speeches we find initially the point of interaction between both.In this direction, the workmanship "Os Sertões‖ of Euclides of the Wedge in allows them to argue where measured the existing specifications in a literary composition they can directly interest geography in the construction of its representations about the space.However to construct this approach, we take as north the conceptions of the complexity in which we weave the idea of that the workmanship if constitutes a geographic complex.We detach thus, the language of "Os Sertões‖ as one of the aspects that specify the complex in the Euclidean narrative and that it can interest geography in the production of its knowledge.As well as the language, the imagination is understood while an element that in makes possible them to analyze, to understand and to find the direction of the images made use in the space hinterland

Levels of DNA damage in blood leukocyte samples from non-diabetic and diabetic female rats and their fetuses exposed to air or cigarette smoke

dThe objective of the present study was to evaluate DNA damage level in blood leukocytes from diabetic and non-diabetic female Wistar rats exposed to air or to cigarette smoke, and to correlate the findings with levels of DNA damage detected in blood leukocyte samples from their fetuses. A total of 20 rats were distributed into four experimental groups: non-diabetic (control; G1) and diabetic exposed to filtered air (G2): non-diabetic (G3) and diabetic (G4) exposed to cigarette smoke. Rats placed into whole-body exposure chambers were exposed for 30 min to filtered air (control) or to tobacco smoke generated from 10 cigarettes, twice a day, for 2 months. Diabetes was induced by a pancreatic beta-cytotoxic agent, streptozotocin (40 mg/kg b.w.). At day 21 of pregnancy, each rat was anesthetized and humanely killed to obtain maternal and fetal blood samples for genotoxicity analysis using the alkaline comet assay. G2, G3 and G4 dams presented higher DNA damage values in tail moment and tail length as compared to G1 group. There was a significant positive correlation between DNA damage levels in blood leukocyte samples from G2 and G3 groups (tail moment); G3 and G4 groups (tail length) and G3 group (tail intensity) and their fetuses. Thus, this study showed the association of severe diabetes and tobacco cigarette smoke exposure did not exacerbate levels of maternal and fetal DNA damages related with only diabetes or cigarette smoke exposure. Based on the results obtained and taking into account other published data, maternal diabetes requires rigid clinical control and public health and education campaigns should be increased to encourage individuals, especially pregnant women, to stop smoking. (C) 2008 Elsevier B.V. All rights reserved.

Assessment of Quality of Life and Psychologic Aspects in Patients with Gestational Trophoblastic Disease

OBJECTIVE: To assess quality of life (QoL) and psychological aspects in patients with gestational trophoblastic disease (GTD).METHODS: This cross-sectional self-report study was conducted among 54 women. Validated questionnaires assessed QoL (WHO-QOL-bref), symptoms of depression (Beck Depression Inventory [BDI]) and anxiety (State-Trait Anxiety Inventory [STAI]).RESULTS: Most patients rated overall QoL as good (44.44%) anti were satisfied with their health status (42.59%). Mean QoL domain score was lowest for psychologic health (53.86 +/- 21.46) and highest for social relationships (65.74 +/- 22.41). BDI mean was 15.81 +/- 11.15, indicating dysphoria. STAI means were 46 +/- 6.46 for trait-anxiety and 43.72 +/- 4.23 for state-anxiety, both evidencing medium-high anxiety. Among employed patients, environment domain mean was the highest (p = 0.024). Presence of children resulted in lowest means for physical health (p = 0.041) and environment (p = 0.045). Patients desiring children showed significantly higher means for physical health (p = 0.004), psychological health (p = 0.021) and environment (p = 0.003). Chemotherapy had no significant influence on QoL (p > 0.05).CONCLUSION: This study evidenced psychological impact on GTD patients, suggesting specialized care centers should provide psychological interventions during treatment and follow-up of GTD patients, highlighting the importance of a multidisciplinary approach. (J Reprod Med 2009;54:239-244)

Análise da vulnerabilidade ambiental no estuário do Rio Curimataú/Cunhaú, Baía Formosa e Canguaretama - RN

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