Effects of dredging operations on sediment quality: contaminant mobilization in dredged sediments from the Port of Santos, SP, Brazil

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

Controlled transscleral drug delivery formulations to the eye: establishing new concepts and paradigms in ocular anti-inflammatory therapeutics and antibacterial prophylaxis

Importance of the field: The use of topical agents poses unique and challenging hurdles for drug delivery. Topical steroids effectively control ocular inflammation, but are associated with the well-recognized dilemma of patient compliance. Although administration of topical antimicrobials as prophylaxis is acceptable among ophthalmologists, this common practice has no sound evidence base Developing a new antimicrobial agent or delivery strategy with enhanced penetration by considering the anatomical and physiological constraints exerted by the barriers of the eye is not a commonly perceived strategy. Exploiting the permeability of the sclera, subconjunctival routes may offer a promising alternative for enhanced drug delivery and tissue targeting.Area covered in this review: Ocular drug delivery strategies were reviewed for ocular inflammation and infections clinically adopted for newer class of antimicrobials, which use a multipronged approach to limit risks of endophthalmitis.What the reader will gain: The analysis substantiates a new transscleral drug delivery therapeutic approach for cataract surgery.Take home message: A new anti-inflammatory and anti-infective paradigm that frees the patient from the nuisance of topical therapeutics is introduced, opening a large investigative avenue for future improved therapies.

Modeling and analysis of artificial neural networks applied in operations research

Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a massive number of these computational elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving problems related to operations research. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach. Copyright (C) 2000 IFAC.

The minimization of open stacks problem: A review of some properties and their use in pre-processing operations

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Artificial immune systems for classification of petroleum well drilling operations

This paper presents two approaches of Artificial Immune System for Pattern Recognition (CLONALG and Parallel AIRS2) to classify automatically the well drilling operation stages. The classification is carried out through the analysis of some mud-logging parameters. In order to validate the performance of AIS techniques, the results were compared with others classification methods: neural network, support vector machine and lazy learning.

Modelling an expert GIS system based on knowledge to evaluate oil spill environmental sensitivity

Oil spills cause great damage to coastal habitats, especially when rapid and suitable response measures are not taken. Establishing high priority areas is fundamental for the operation of response teams. Under this context and considering the need for keeping all geographical information up-to-date for emergencial use, the present study proposes employing a decision tree coupled with a knowledge-based approach using GIS to assign oil sensitivity indices to Brazilian coastal habitats. The modelled system works based on rules set by the official standards of Brazilian Federal Environment Organ. We tested it on one of the littoral regions of Brazil where transportation of petroleum is most intense: the coast of the municipalities of Sao Sebastiao and Caraguatatuba in the northern littoral of São Paulo state, Brazil. The system automatically ranked the littoral sensitivity index of the study area habitats according to geographical conditions during summer and winter; since index ranks of some habitats varied between these seasons because of sediment alterations. The obtained results illustrate the great potential of the proposed system in generating ESI maps and in aiding response teams during emergency operations. (C) 2009 Elsevier Ltd. All rights reserved.

Establishing the risk of neonatal mortality using a fuzzy predictive model

O objetivo do artigo foi avaliar o uso da lógica fuzzy para estimar possibilidade de óbito neonatal. Desenvolveu-se um modelo computacional com base na teoria dos conjuntos fuzzy, tendo como variáveis peso ao nascer, idade gestacional, escore de Apgar e relato de natimorto. Empregou-se o método de inferência de Mamdani, e a variável de saída foi o risco de morte neonatal. Criaram-se 24 regras de acordo com as variáveis de entrada, e a validação do modelo utilizou um banco de dados real de uma cidade brasileira. A acurácia foi estimada pela curva ROC; os riscos foram comparados pelo teste t de Student. O programa MATLAB 6.5 foi usado para construir o modelo. Os riscos médios foram menores para os que sobreviveram (p < 0,001). A acurácia do modelo foi 0,90. A maior acurácia foi com possibilidade de risco igual ou menor que 25% (sensibilidade = 0,70, especificidade = 0,98, valor preditivo negativo = 0,99 e valor preditivo positivo = 0,22). O modelo mostrou acurácia e valor preditivo negativo bons, podendo ser utilizado em hospitais gerais.

Uso da máscara laríngea descartável em adenotonsilectomias

JUSTIFICATIVA E OBJETIVOS: A intubação traqueal associada a operações das vias aéreas faz com que complicações como laringoespasmo, broncoespasmo e períodos de redução da saturação de oxigênio sejam frequentemente relatados em adenotonsilectomias, procedimento que, por sua natureza, eleva a incidência de tais complicações. O objetivo deste estudo foi analisar a ocorrência de problemas respiratórios comparando-se o uso da máscara laríngea (ML) descartável com a intubação orotraqueal em adenotonsilectomias. MÉTODOS: Foram avaliados 204 pacientes pediátricos submetidos a anestesia geral para adenotonsilectomias e alocados em dois grupos, aleatoriamente: grupo Cânula Traqueal (CT, n = 100) e grupo Máscara Laríngea (ML, n = 104). Foram observados os níveis de saturação de pulso de oxigênio (SpO2) após a indução anestésica (SpO2-1), após o estabelecimento de campo operatório (SpO2-2), ao término do procedimento cirúrgico (SpO2-3), três minutos após a retirada do dispositivo respiratório (SpO2-4) e na admissão da sala de recuperação anestésica (SpO2-5). As complicações respiratórias foram relatadas. RESULTADOS: Os valores médios e os desvios padrão de SpO2 nos grupos CT e ML foram, respectivamente: SpO2-1: 98,9 ± 1,0 e 98,7 ± 0,8 (p > 0,25); SpO2-2: 97,4 ± 1,0 e 94,9 ± 4,3 (p < 0,001); SpO2-3: 96,9 ± 1,1 e 97,2 ± 1,1 (p = 0,037); SpO2-4: 91,7 ± 9,0 e 95,2 ± 2,2 (p < 0,001); SpO2-5: 94,0 ± 2,1 e 95,8 ± 2,6 (p < 0,001). No grupo ML, em 12 pacientes, foi necessária alguma manobra para ajuste do dispositivo e correção de vazamento durante o ato operatório. A ML foi substituída pela CT em quatro pacientes. As complicações respiratórias foram similares entre os grupos. CONCLUSÕES: Adenotonsilectomias em pacientes pediátricos com o emprego da ML, em comparação com a CT, resulta em menores valores de SpO2 intraoperatórios e, eventualmente, necessidade de substituição da ML pela CT. Apesar de a ML viabilizar a cirurgia, pela segurança, o uso da CT é preferível.

Establishing Standards for the Integrated Recommendation and Diagnosis System (DRIS) for Irrigated Bean Crops

This article addresses the establishment of integrated diagnostics and recommendation system (DRIS) standards for irrigated bean crops (Phaseolus vulgaris) and compares leaf concentrations and productivity in low- and high-productivity populations. The work was carried out in Santa Fe de Goias, Goias State, Brazil, in the agricultural years 1999/2000 and 2000/2001. For the nutritional diagnosis, leaf samples were collected, and leaf concentrations of nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulfur (S), boron (B), copper (Cu), iron (Fe), manganese (Mn), and zinc (Zn) were established in 100 commercial bean crops. A database was set up listing the leaf nutrient content and the respective productivities, subdivided into two subpopulations, high and low productivity, using a bean yield value of 3000 kg ha-1 to separate these subpopulations. Sufficiency values found in the high-productivity population matched only for the micronutrients B and Zn. The nutritional balance among the populations studied was coherent and was lower in the high-productivity population. The DRIS standards proposed for irrigated bean farming were efficient in evaluating the nutritional status of the crop areas studied. Calcium, Cu, and S were found to be the least available nutrients, indicating high response potential for the fertilizing using these nutrients.

Productivity of beet and roquette cultivation as a function of time of establishing intercropping

With the aim of evaluating the effect of intercropping on the productivity of beet and roquette crops, a study was conducted in the Section of Vegetable and Aromatic-Medicinal Plants, FCAV-UNESP, Jaboticabal/SP. The treatments consisted of co-cultivations of roquette (Cultivada) and beets (Early Wonder) established at 0, 7, 14 and 21 days after the transplanting of beets, and as monocultures of beets and roquette. The experiments were delineated in a randomized block design. The productivity of beets in monoculture was not superior to that obtained with intercropping with roquette. The production of dry mass of roquette with intercropping was less than that with monoculture and the reduction was more marked with more delayed establishment of co-cultivation. Intercropping established at 0 and 7 days after the transplanting of beets was the most efficient, with indices of efficient use of land of 1.26 and 1.27, respectively.

Dentistry and HIV: University professors' role in establishing a basis for judgment

The aim of this study was to determine whether there are differences in the attitudes of Dentistry School Professors from two universities, one private and one public concerning HIV-positive patients or HIV-positive health care professionals. A questionnaire Was handled to all profession at the Araçatuba Dental School of São Paulo State University - FOA-UNESP (public) and Lins Dental School of the Piracicaba Methodist University - FOL-UNIMEP (private). When asked if they would be willing to be treated by an HIV-infected health care professional, 38.9% of the 77 professors at FOA-UNESP replied that they would accept only non-invasive treatments and 13% would not accept any kind of treatment; the same applied to 42.4% and 15.2% of the 33 FOL-UNIMEP professors. Among the 54 professors at FOA-UNESP and 27 at FOL-UNIMEP providing clinical service, only 31.5% and 18.5% stated that they treat HIV-infected persons like any other patient. The results were very similar in both schools. Although they reported that they taught their students not to act in a discriminatory manner towards HIV-positive patient the professors themselves showed prejudice towards infected patients and professionals. Consequently, this topic trust be further debated in the academic milieu.

Classification of petroleum well drilling operations using Support Vector Machine (SVM)

During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, monitor different operation parameters such as weight on the hook and drillstring rotation. These measurements are known as mud-logging records and allow the online following of all the drilling process with well monitoring purposes. However, in most of the cases, these data are stored without taking advantage of all their potential. On the other hand, to make use of the mud-logging data, an analysis and interpretationt is required. That is not an easy task because of the large volume of information involved. This paper presents a Support Vector Machine (SVM) used to automatically classify the drilling operation stages through the analysis of some mud-logging parameters. In order to validate the results of SVM technique, it was compared to a classification elaborated by a Petroleum Engineering expert. © 2006 IEEE.

A genetic neuro-model reference adaptive controller for petroleum wells drilling operations

Motivated by rising drilling operation costs, the oil industry has shown a trend towards real-time measurements and control. In this scenario, drilling control becomes a challenging problem for the industry, especially due to the difficulty associated to parameters modeling. One of the drill-bit performance evaluators, the Rate of Penetration (ROP), has been used in the literature as a drilling control parameter. However, the relationships between the operational variables affecting the ROP are complex and not easily modeled. This work presents a neuro-genetic adaptive controller to treat this problem. It is based on the Auto-Regressive with Extra Input Signals model, or ARX model, to accomplish the system identification and on a Genetic Algorithm (GA) to provide a robust control for the ROP. Results of simulations run over a real offshore oil field data, consisted of seven wells drilled with equal diameter bits, are provided. © 2006 IEEE.