Assessing the influence of mechanical ventilation on blood gases and blood pressure in rattlesnakes

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

Sensoriamento remoto multifonte aplicado na detecção do fitoplâncton em águas interiores

Blooms of phytoplankton can be a risk to human health and aquatic biota, so the adoption of monitoring methods of phytoplankton and mechanisms for preventing its occurrence are needed. Thus, traditional monitoring methods could be more effective if complemented by approaches using the optical properties of phytoplankton pigments by means of Remote Sensing. In order to evaluate the potential of multi-scale remote sensing for detection of the phytoplankton activity, a study area was selected in Nova Avanhandava reservoir, located in the Tiete River, SP. For this analysis, hyperspectral field data and multispectral images of low and medium spatial resolution (Modis and RapidEye) were acquired and were related to indicator limnological variables of phytoplankton behavior; chlorophyll a and phycocyanin. The results show that a specific spectral band of RapidEye system (690-730 nm) allowed detect chlorophyll a and to evaluate the phytoplankton biomass, however hyperspectral data are needed to detect the phycocyanin pigment, indicative of cyanobacteria.

The application of neural networks to the analysis of dissolved gases in insulating oil used in transformers

The state of insulating oils used in transformers is determined through the accomplishment of physical-chemical tests, which determine the state of the oil, as well as the chromatography test, which determines possible faults in the equipment. This article concentrate on determining, from a new methodology, a relationship among the variation of the indices obtained from the physical-chemical tests with those indices supplied by the chromatography tests.The determination of the relationship among the tests is accomplished through the application of neural networks. From the data obtained by physical-chemical tests, the network is capable to determine the relationship among the concentration of the main gases present in a certain sample, which were detected by the chromatography tests.More specifically, the proposed approach uses neural networks of perceptron type constituted of multiple layers. After the process of network training, it is possible to determine the existent relationship between the physical-chemical tests and the amount of gases present in the insulating oil.

Does occupational exposure to anesthetic gases lead to increase of pro-inflammatory cytokines?

There is great concern about the possible harmful effects of exposure to volatile anesthetics. The current study aimed at evaluating, for the first time, the effects of occupational exposure to anesthetic gases on physicians who work in operating rooms, by determining several inflammatory cytokines. Plasma inflammatory cytokines (IL-1β, -6, -8, -10, -12, TNF-α) were investigated in 30 individuals who were allocated into two groups of 15: the exposed group, consisting of operating room medical personnel exposed to a mixture of anesthetic gases for 3 years, and a control group composed of medical personnel not exposed to anesthetic gases. The concentrations of volatile anesthetics were measured in the operating room by means of an infrared portable analyzer Our findings suggest an increase of the pro-inflammatory IL-8 (p < 0.05) in medical personnel exposed to high concentrations of anesthetic gases, even for a relatively short period.

Indices de vegetação na mensuração do estoque de carbono em áreas com cana-de-açúcar

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Fluxo de gases de efeito estufa na implantação de sistema silvipastoril em pastejo com ovinos

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

Eficiência de um filtro de mangas no tratamento de gases oriundos de caldeira de queima de biomassa sólida

Atualmente a implantação de qualquer planta industrial que possa gerar impacto ambiental, ou até mesmo adequação de equipamentos já instalados para a não geração de poluentes ou geração dentro de limites adequados, passa cada vez mais por fiscalização rigorosa dos órgãos ambientais. A ventilação industrial tem sido e continua sendo a principal medida de controle efetiva para ambientes de trabalho que contenham dispersão de efluentes gasosos e material particulado de natureza prejudiciais, e baseado neste fato de relevância inegável é que se fundamenta este estudo. Um sistema de tratamento de gases com enfoque em ventilação local exaustora engloba vários equipamentos, e dentre eles o filtro de mangas é considerado um dos principais, pois sua função é a de efetuar a filtração dos gases proporcionando emissões dentro das tolerâncias dos órgãos ambientais, refletindo desta forma o objeto principal deste estudo de caso, a eficiência do equipamento. Especificamente neste estudo apresentam-se dados de eficiência do filtro de mangas em questão, componente de um sistema de desempoeiramento de uma caldeira de queima de resíduos sólidos. Foram utilizados dados coletados em campo em dois pontos do circuito do sistema, entrada do filtro de mangas e descarga de gases limpos, além de análise do elemento filtrante. As coletas e análises foram realizadas de acordo com as normas para a correta aferição dos dados gerados. Os resultados permitiram observar patamares de eficiência de filtração para os resíduos gerados na queima, demonstrando os cuidados a serem tomados no dimensionamento do equipamento para esta aplicação.

Fertilizantes e sistemas de irrigação: emissões de gases de efeito estufa no cultivo do milho

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Produção e emissão de gases de efeito estufa de bovinos alimentados com teores de concentrado

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação da modelagem no estudo da teoria cinética dos gases

In this term paper is studied the use of models and analogies and it's influences in the study of chemistry, for learning and understanding of concepts related to the kinetic theory of gases. It was developed an activity with students of high school second year, enrolled in a State school, in the city of Bauru-SP. It was built and developed a model using the mechanical vertical model scheme, based on the proposal of Professor Luiz Ferraz Netto, for the teaching of the kinetic theory of gases. It was applied a questionary to evaluate the effect of the model in the classroom, and the analysis of data was done in descriptive qualitative way. It was verified that the methodology favored the development of conceptual understanding, demonstrating significant results on the theme of learning

Produtividade de biomassa de cana-de-açúcar em função dos índices de vegetação utilizando técnicas de sensoriamento remoto

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Classificação de imagens em áreas cultivadas com citrus por técnicas de sensoriamento remoto e geoestatística

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Filmes finos depositados pela técnica de implantação iônica por imersão em plasma e deposição (IIIPD), utilizando o monômero HMDSN e os gases argônio, hélio e nitrogênio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Emissão de gases de efeito estufa e estoque de carbono no solo em função do manejo e correção de acidez

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