Larval predation by Chrysomya albiceps on Cochliomyia macellaria, Chrysomya megacephala and Chrysomya putoria

Chrysomya albiceps, the larvae of which are facultative predators of larvae of other dipteran species, has been introduced to the Americas over recent years along with other Old World species of blowflies, including Chrysomya megacephala, Chrysomya putoria and Chlysomya rufifacies. An apparent correlate of this biological invasion has been a sudden decline in the population numbers of Cochliomyia macellaria, a native species of the Americas. In this study, we investigated predation rates on third instar larvae of C. macellaria, C. putoria and C. megacephala by third instar larvae of C. albiceps in no-choice, two-choice and three-choice situations. Most attacks by C. albiceps larvae occurred within the first hour of observation and the highest predation rate occurred on C. macellaria larvae, suggesting that C. albiceps was more dangerous to C. macellaria than to C. megacephala and C. putoria under these experimental conditions. The rates of larvae killed as a result of the predation, as well as its implications to population dynamics of introduced and native species are discussed.

Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations

The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by preprocessing them to extract image features. Such features are then submitted to a support vector machine in order to find out the most appropriate route. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine, which so far presented around 93% accuracy in predicting the appropriate route. © 2012 IEEE.

Dificuldades na obtenção e caracterização de anticorpos monoclonais murinos anti-proteína F recombinante do vírus (RSV) para diagnóstico laboratorial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Cartografias das práticas de atenção aos transtornos decorrentes do uso de álcool e outras drogas em territórios sociais de risco

Pós-graduação em Psicologia - FCLAS

Desenvolvimento de um sistema de navegação baseado em máquina de vetores de suporte para dirigibilidade de um robô móvel por caminhos em plantações

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Comportamentos de risco para acidentes em playgrounds: identificação e opiniões de profissionais de educação infantil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Bebidas alcoólicas na adolescência: relação entre usos e domínios sociais

Pós-graduação em Educação - FFC

O papel do Estado na proteção aos direitos da criança e do adolescente no Brasil: as especificidades da Constituição Federal, do Estatuto da Criança e do Adolescente e da Lei de diretrizes e Bases da Educação

Pós-graduação em Educação - FFC

Comparing support vector machines and artificial neural networks in the recognition of steering angle for driving of mobile robots through paths in plantations

The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by pre-processing them to extract image features. Such features are then submitted to a support vector machine and an artificial neural network in order to find out the most appropriate route. A comparison of the two approaches was performed to ascertain the one presenting the best outcome. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine and of an artificial neural network, which so far presented respectively around 93% and 90% accuracy in predicting the appropriate route. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science

Juventude, drogas e biopolítica

In this article, we tackle the issue of youth and drugs as something linked to biopower and biopolitics, both concepts developed by Michael Foucault. Youth and drugs are taken and analyzed in situations involving the management of crime linked to the risks and deviations from the law, abuse and dependence. The youth; irreverent, courageous, healthy, idealistic, and that wanted to change the world for the better as we have seen in the past, is now strongly related to violence, dangerous activities, moral and social risks, drug addiction, criminality, and others negative images. To deal with these young people, tolerance and small punishments of yore are not enough anymore. The young people emerge as a segment of the population subject to various actions and programs. The drugs now are seen as matters of security and public health. There is a shifting and repositioning in the discourse about the young - from minor, drugged, and criminal to lawbreaker, user and drug addict. The change is subtle, but represents a modulation in the devices of social control. Beyond the consent of the young to get rid of drugs, there is a search for the creation of a wide area of monitoring of their behavior through the activation of community protection networks. The belief that the young are more impressionable and vulnerable, and that action on the cause of the problem or risk reduction are the most efficient ways of management, taking responsibility away from personal and family sphere and transferring it to the State, contributes to the increasing control of young people nowadays.

Indeterminate form of chagas disease and metabolic syndrome: a dangerous combination

Chagas’ disease (CD) has been a major concern in public health in Latin America countries and in Brazil there are about 3 million people suffering from this disease. With the social and economic changes which have been occurring in the last 6 decades in the country, there have been a lot of changes in the population life style with severe metabolic consequences, especially for those with Chagas' disease. The objective of this study was to evaluate the prevalence of metabolic syndrome in individuals with the indeterminate form of CD. A total of 74 individuals, mean age of 55.6 years, participated in the study. Anthropometric and biochemical evaluations were performed. Overweight/obesity was found in 86.5 % of individuals, increased waist circumference in 72.5%, and 67% had more than 30% of fat mass. Hyperglycemia and dyslipidemia were observed in 24.3% and 75.7% of patients, respectively. Metabolic syndrome was diagnosed in 48.2% of patients. The family history revealed high prevalence of cardiovascular diseases (80.3%), systemic arterial hypertension (57.1%) and diabetes mellitus (42.8%). A total of 90% of patients were overweight/obese, and it is well known that increased adipose tissue, specially visceral adipose tissue is highly associated with dyslipidemia and cardiovascular diseases, as well as imbalance in production of proinflammatory and antiinflammatory cytokines produced by that tissue. Adipocytes are also known as a reservoir for Trypanosoma cruzi, favoring an increase in parasite load and a possible reacutization of the disease. Therefore, the study individuals are at high risk of developing cardiovascular diseases as well as further symptomatic form of the Chagas' disease, mainlychagastic cardiopathy.

Caracterização do comportamento e da ocorrência de acidentes entre escolares do 5º ano

Pós-graduação em Educação - FFC