C. Couto - Academia.edu (original) (raw)

Papers by C. Couto

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Hospital (Rio de Janeiro, Brazil), 1950

Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics, 1995

Water quality brings to the ground the discussion on water utilization once the consumption, of d... more Water quality brings to the ground the discussion on water utilization once the consumption, of degraded water, is not possible or safe. On the other hand, the assessment of the water quality in a reservoir is constrained due to geographic considerations, the number of parameters to be studied, and the huge fi nancial resources needed to get the necessary data. To this picture it should be added the latency times between the sampling moment and the instant that portrait the results of the laboratory analyses. However, new approaches to problem solving, namely those borrowed from the Artifi cial Intelligence arena have proven their ability and applicability in terms of simulation and modeling of the physical phenomena. Indeed, Artifi cial Neural Networks (ANNs) capture the embedded spatial and unsteady behavior in the investigated problem, using its architecture and nonlinearity nature, when compared with the other classical modeling techniques. This work describes the training, validation, and application of ANNs models for computing the oxidability and total suspended solids (TSS) levels in the Monte Novo reservoir, in Portugal, over a period of 15 years. Different network structures have been elaborated and evaluated. The performance of the ANNs models was assessed through the coeffi cient of determination (R2), mean absolute deviation, mean squared error, and bias computed from the measured and model calculated values of the dependent variables. Goodness of the model fi t to the data was also evaluated through the relationship between the errors and model computed values of oxidability and TSS. The ANNs selected to predict the oxidability from pH, conductivity, dissolved oxygen (DO), water temperature, and volume of water stored in reservoir has a 4-11-5-1 topology, while the network selected to predict the TSS has a 5-6-5-1 topology. A good match between the observed and predicted values was observed with the R2 values varying in the range 0.995-0.998 for the training set, and 0.994-0.996 for the test set. © 2012 WIT Press.

Water, like any other biosphere natural resource, is scarce, and its judicious use includes its q... more Water, like any other biosphere natural resource, is scarce, and its judicious use includes its quality safeguarding. Indeed, there is a wide concern to the fact that an ineffi cient water management system may become one of the major drawbacks for a human-centered sustainable development process. The assessment of reservoir water quality is constrained due to geographic considerations, the number of parameters to be considered and the huge fi nancial resources needed to get such data. Under these circumstances, the modeling of water quality in reservoirs is essential in the resolution of environmental problems and has lately been asserting itself as a relevant tool for a sustainable and harmonious progress of the populations. The analysis and development of forecast models, based on Artifi cial Intelligence-based tools and the new methodologies for problem solving, has proven to be an alternative, having in mind a pro-active behavior that may contribute decisively to diagnose, preserve, and rehabilitate the reservoirs. In particular, this work describes the training, validation and application of Artifi cial Neural Networks (ANNs) and Decision Trees (DTs) to forecast the water quality of the Odivelas reservoir, in Portugal, over a period of 10 years. The input variables of the ANN model are chemical oxygen demand (COD), dissolved oxygen (DO), and oxidability and total suspended solids (TSS), while for the DT the inputs are, in addition to those used by ANN, the Water Conductivity and the Temperature. The performance of the models, evaluated in terms of the coincidence matrix, created by matching the predicted and actual values, are very similar for both models; the percentage of adjustments relative to the number of presented cases is 98.8% for the training set and 97.4% for the testing one. © 2012 WIT Press.

Transactions of the Institute of Measurement and Control, 2003

Thrombosis and haemostasis, 2004

Recent data from animal models indicate that the eNOS null mice present a phenotype that resemble... more Recent data from animal models indicate that the eNOS null mice present a phenotype that resemble the human metabolic syndrome (hypertension, insulin resistance and hypertriglyceridemia). In this work, we have studied whether NOS3 gene, previously related to endothelial dysfunction, might have a role in metabolic syndrome susceptibility in hypertensive patients. To carry out the study, we genotyped 105 hypertensive patients < or = 60 years old with two polymorphisms of NOS3 gene: 1132…

Veterinary Immunology and Immunopathology, 1984

The cell surface glycoconjugates of blood lymphocytes from 19 dogs with and without neoplastic di... more The cell surface glycoconjugates of blood lymphocytes from 19 dogs with and without neoplastic disease were quantitated using flow cytofluorometric analysis of the binding characteristics of 3 lectins, namely, wheat germ agglutinin, concanavalin-A, and Lens culinaris agglutinin. The specificity of lectin binding was determined using competitive monosaccharide inhibitors. The results show enhanced binding of concanavalin-A to blood lymphocytes from dogs with lymphosarcoma relative to healthy dogs, or those with a variety of neoplastic and nonneoplastic diseases.

Talanta, 2004

Accurate simultaneous analysis of different anionic species using ion-selective electrodes (ISEs)... more Accurate simultaneous analysis of different anionic species using ion-selective electrodes (ISEs) can be achieved even for non-specific sensors by resorting to an ordinary least squares multiple regression in the vicinity of the predicted concentrations. In this work the potentialities of this approach are evidenced by the determination of nitrate and chloride in synthetic and real water samples in which chloride concentration was significantly higher than nitrate. An AgCl/Ag 2 S electrode based on a homogeneous crystalline membrane together with a PVC electrode based on tert-octylammonium bromide dissolved in dibutylphthalate were used as potentiometric detectors for chloride and nitrate, respectively. For the implementation of the procedure, an automatic system based on sequential injection analysis was used. The results obtained by the standard addition method were biased for low concentrations of nitrate and were dependant on the relative proportion of NO 3 − /Cl − . The results obtained by the proposed methodology for chloride determination were slightly better when compared to those obtained by the standard addition method. In relation to nitrate determination, the proposed methodology yielded values with a relative root mean square error of prediction (RRMSEP) of 2.8%, while for standard addition calibration, mean error values were approximately 12.1%.

Food Chemistry, 2011

This study was conducted in order to assess the effect of the inoculation of Glycine max (soybean... more This study was conducted in order to assess the effect of the inoculation of Glycine max (soybean) with Bradyrhizobium japonicum on the metabolite profile and antioxidant potential of its aerial parts. Extracts containing phenolic compounds and organic acids were analysed by HPLC-DAD and HPLC-UV, respectively. Volatiles profile was determined by HS-SPME/GC-IT-MS. The antioxidant activity of acidic and methanolic extracts was assessed against DPPH. Nodulation caused by B. japonicum led to an increase in the contents of phenolic compounds and organic acids. The same was observed for volatile compounds, with compounds like linalyl acetate, menthyl acetate and a-farnesene being detected only in inoculated plants. The phenolic extracts showed stronger antioxidant capacity than the organic acid extracts. In addition, extracts from plants nodulated with B. japonicum exhibited significantly higher antioxidant activity than control samples. These findings suggest that the inoculation with nodulating B. japonicum strains may be employed to manipulate the content of interesting metabolites in G. max aerial parts.

The Clinical Journal of Pain, 2014

Background: There are different types and parameters of dry needling (DN) that can affect its eff... more Background: There are different types and parameters of dry needling (DN) that can affect its efficacy in the treatment of pain that have not been assessed properly.

... 6 * Arte de cozinha: alimentação e dietética em Portugal e no Brasil (séculos XVII-XIX) 87 Do... more ... 6 * Arte de cozinha: alimentação e dietética em Portugal e no Brasil (séculos XVII-XIX) 87 Do saber renascentista à história natural 89 Processo &amp;amp;amp;quot;civilizatório&amp;amp;amp;quot;: os alimentos importados 91 A resistência do europeu à alimentação nativa 99 Negras de tabuleiro e cafés franceses ...

Page 1. Avaliaç ao de Causalidade entre Métricas de Qualidade Interna e Defeitos César Couto1,2,... more Page 1. Avaliaç ao de Causalidade entre Métricas de Qualidade Interna e Defeitos César Couto1,2, Marco Túlio Valente2, Roberto da Silva Bigonha2 1Departamento de Computaçao, CEFET-MG 2Departamento de Ciência da Computaçao, UFMG ...

… : proceedings of the …, 1998

Texture properties are 'natural' in textiles. There can be considered mainly two types: those res... more Texture properties are 'natural' in textiles. There can be considered mainly two types: those resulting from the weaving process and those related to the printing to get patterns of one or more colors directly on the textile materials.

ieeexplore.ieee.org

CHARLES W. EINOLF, JR., President Consultant c.einolf@ieee.org SETA BOGOSYAN,VP, Membership Activ... more CHARLES W. EINOLF, JR., President Consultant c.einolf@ieee.org SETA BOGOSYAN,VP, Membership Activities University of Alaska Fairbanks s.bogosyan@uaf.edu GERHARD P. HANCKE, Secretary University of Pretoria g.hancke@ieee.org ... KOUHEI OHNISHI, President Elect Keio Univ. ohnishi@sd.keio.ac.jp KAREL JEZERNIK,VP Technical Activities Univ. of Maribor jezernik@uni-mb.si JOHN Y. HUNG, Treasurer Auburn Univ. jhung@eng.auburn.edu TERRY MARTIN, Asst. Treasurer Univ. of Arkansas tmartin@uark.edu ... LEOPOLDO GARCIA ...

Human activities can cause strong alterations in the environment. As physically sensitive areas, ... more Human activities can cause strong alterations in the environment. As physically sensitive areas, coastal lagoons are particularly vulnerable to water quality deterioration and eutrophication problems caused by population growth, urbanization and effluent disposal. Óbidos Lagoon is a small and shallow coastal lagoon subjected to different environmental pressures. One of these pressures is the effluent disposal of the Casalito Waste Water Treatment Plant. Presently, this urban discharge serves a population of 920 resident inhabitants but is expected to serve a population of 10000 in the near future.

International Journal of Electronics, 2003

A randomized pulse width modulation (RPWM) algorithm is applied in the control unit of the boost ... more A randomized pulse width modulation (RPWM) algorithm is applied in the control unit of the boost rectifier to achieve improved frequency characteristics in the wide band. First, the introduction of the RPWM switching is reflected in a smaller increase of the total harmonic distortion ( ...

Isie '97 - Proceedings of the Ieee International Symposium on Industrial Electronics, Vols 1-3, 1997

Computer-based fuzzy temperature controller for environmental chambers. Paulo Salgado, JBoaventur... more Computer-based fuzzy temperature controller for environmental chambers. Paulo Salgado, JBoaventura Cunha, Carlos Couto 1997. This paper describes a computer-based temperature control system for an environmental chamber. ...