Evaluation of the World Health Organization 2009 classification of dengue severity in autopsied individuals, during the epidemics of 2011 and 2012 in Brazil

Abstract: INTRODUCTION: The dengue classification proposed by the World Health Organization (WHO) in 2009 is considered more sensitive than the classification proposed by the WHO in 1997. However, no study has assessed the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue. In the present study, we evaluated the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue in Northeast Brazil, where the disease is endemic. METHODS: This retrospective study included 121 autopsied individuals suspected of having dengue in Northeast Brazil during the epidemics of 2011 and 2012. All the autopsied individuals included in this study were confirmed to have dengue based on the findings of laboratory examinations. RESULTS: The median age of the autopsied individuals was 34 years (range, 1 month to 93 years), and 54.5% of the individuals were males. According to the WHO 1997 classification, 9.1% (11/121) of the cases were classified as dengue hemorrhagic fever (DHF) and 3.3% (4/121) as dengue shock syndrome. The remaining 87.6% (106/121) of the cases were classified as dengue with complications. According to the 2009 classification, 100% (121/121) of the cases were classified as severe dengue. The absence of plasma leakage (58.5%) and platelet counts <100,000/mm3 (47.2%) were the most frequent reasons for the inability to classify cases as DHF. CONCLUSIONS: The WHO 2009 classification is more sensitive than the WHO 1997 classification for identifying dengue deaths among autopsied individuals suspected of having dengue.

Analysis of classification algorithms for crop detection using LANDSAT 8 images

Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. For over forty years, the Landsat program has utilized satellites to collect spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length. The most recent one was launched on February 11, 2013, having a number of improvements regarding its predecessors. This project aims to compare classification methods in Portugal’s Ribatejo region, specifically regarding crop detection. The state of the art algorithms will be used in this region and their performance will be analyzed.

Assessment of schistosomiasis in the semi-arid Northeast region of Brazil: the São Francisco River large-scale water transposition project

Abstract: INTRODUCTION Risk of schistosomiasis expansion to semi-arid northeastern Brazil under the influence of the Integration Project of the São Francisco River (IPSFR) was assessed. METHODS: Stool examinations of schoolchildren, epidemiological investigation, and survey of the local host snail Biomphalaria straminea were performed in five IPSFR municipalities. RESULTS Six of 4,770 examined schoolchildren were egg-positive for Schistosoma mansoni. Biomphalaria straminea was widespread, but not naturally infected with S. mansoni. Snails experimentally exposed to two laboratory S. mansoni strains yielded infection indices of 1-4.5%. CONCLUSIONS: There is evidence of active schistosomiasis transmission in the area; thus, intensive surveillance actions are required.

Elaboração de uma semi-conserva de pescado de água doce "Picles de Peixe". I. Tempo de cura, acidificação, textura e nível de sal

Neste trabalho são estudadas as condições para a correta combinação entre o tempo de cura, acidificação e nível de sal para produzir uma semi-conserva de pescado de de água doce acondicionada em vidro, utilizando o efeito da combinalção sal/ácido. As espécies utilizadas foram jaraqui (Semaprochilodus spp.), Curimatá (Prochilodus nigricans), Dourado (Brachyplastistoma flavicans) e Pirarucu (Arapaima gigas). Na salmora de cura prelimiar o tempo indicado para se obter uma melhor textura foi de 4 semanas, a acidificação até 4,5 foi alcançada na solução contendo 5% de ácido/100 gramas de pescado e o nível adequado de sal foi de 15% (p/v). Na salmora flavorizante a proporção de ácido foi de 1% (v/v) o que torna o produto de sabor agradável, sal na concentração de 2% (p/v) e a adição de 1% de condimentos.

DESENVOLVIMENTO NINFAL DO GAFANHOTO NEOTROPICAL SEMI-AQUÁTICO Stenacris fissicauda fissicauda (BRUNER, 1908) (ORTHOPTERA:ACRIDIDAE) EM CONDIÇÕES CONTROLADAS

Estudou-se a influência da temperatura e do fotoperíodo no desenvolvimento ninfal do gafanhoto semi-aquático Stenacris fissicauda fissicaudaproveniente de uma região de várzea, perto de Manaus. Ninfas recém-eclodidas foram coletadas no campo na macrófita aquática Paspalum repens (Gramineae-Poaceae)e criadas sob condições controladas em câmaras de criação (8, 12 e 24 horas de luz, 27°C e 27/21°C de temperatura) e sob condições naturais. Esta espécie apresenta 5 estádios ninfais para os machos e 6 para as fêmeas sob condições de dia longo no laboratório e durante o período com menos precipitação (estação "seca") sob condições naturais. No entanto, observou-se um estádio extra para machos (6o) e fêmeas (7o) sob condições de dia curto no laboratório. Este estádio ocorreu durante o período com mais precipitação (estação chuvosa) sob condições naturais. Constatou-se que a temperatura e o fotoperíodo interagiram no desenvolvimento ninfal sob condições controladas: 1) O número de estádios (especialmente em fêmeas) foi principalmente influenciado pelo fotoperíodo; 2) O tempo de desenvolvimento ninfal (em ambos os sexos) sobretudo foi influenciado pela temperatura. Os resultados estão sendo discutidos sob o ponto de que a luz pode atuar como fator de controle (ecofator) no número de estádios ninfais de insetos em ecossistemas tropicais, mesmo sendo situados perto do equador, devido à mudanças sazonais de insolação e/ou intensidade de luz durante o ano.

The reasons behind the progression in PISA scores: An education production function approach using semi-parametric techniques

Research Masters

Aspectos da Biologia e Etologia de Paulinia acuminata (De Geer), 1773 (Orthoptera: Pauliniidae), um gafanhoto semi-aquático, na Amazônia Central

Paulinia acuminata (Orthoptera: Pauliniidac) desenvolve todo seu ciclo vital em macrófitas aquáticas. Entre 17 macrófitas e 5 hortaliças testadas, a oviposição foi constatada somente em Salvinaceae (Salvinia auriculata, S. minima, S. sprucei, Azolla cf. microphylla e Araceae (Pistia stratiotes). O período médio de incubação, em laboratório, foi de 18,7 (+/- 1,8) dias, com uma média de 7,3 (+/- 2,8) ovos por postura. O desenvolvimento dos seis estádios ninfais durou 47,12 (+/-1,2) dias. O ciclo de vida completo, ovo-adulto, foi de 93,2 dias sob uma temperatura do ar em torno dc 29 °C. Observações etológicas de laboratório e de campo são apresentadas.

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.

Características bioquímicas e hematológicas do pirarucu Arapaima gigas Schinz, 1822 (Arapaimidae) de cultivo semi-intensivo na Amazônia

O presente estudo comparou os níveis plasmáticos de glicose, proteínas totais, uréia, triglicerídeos e colesterol, a contagem de eritrócitos, leucócitos e trombócitos entre alevinos e juvenis de Arapaima gigas (Osteoglociformes, Arapaimidae) de uma piscicultura semi-intensiva de Manaus, estado do Amazonas, Brasil. Os alevinos de A. gigas apresentaram níveis significativamente (p<0,05) menores de proteínas totais, triglicerídeos, uréia e Volume Corpuscular Médio (VCM) e maior concentração de glicose, colesterol e hemoglobina, contagem de eritrócitos, hematócrito e Concentração da Hemoglobina Corpuscular Média (CHCM) quando comparados aos juvenis. Porém, não houve diferença significativa (p>0,05) no número de trombócitos e leucócitos totais entre alevinos e juvenis. Os juvenis de A. gigas apresentaram menor quantidade de linfócitos e maior quantidade de monócitos, neutrófilos e eosinófilos, quando comparados aos alevinos. Em estudos futuros, espécimes de A. gigas com outras idades também deverão ser comparados para melhor entendimento dos efeitos da idade neste peixe amazônico, pois estas informações, além de possibilitarem uma melhor compreensão da fisiologia desta espécie, poderão auxiliar no estabelecimento de estratégias para seu manejo.

Ethnoveterinary knowledge of the inhabitants of Marajó Island, Eastern Amazonia, Brazil

There have been ethnoveterinary reports from around the world investigating plant usage in therapeutic protocols; however, there is no information regarding the ethnoveterinary practices in Brazilian Amazonia. The objective of this work was to register and document the ethnoveterinary knowledge of the inhabitants of the Island of Marajó, eastern Amazonia, Brazil. In the study, interviews were conducted with 50 individuals, with the application of semi-structured questionnaires that were quantitatively analyzed using descriptive statistic methods of frequency distribution. Use-value was calculated to determine the most important species. Samples of plants that were reported to have medicinal value were collected and identified by botanical classification. Fifty plants, distributed among 48 genera and 34 families, were indicated for 21 different medicinal uses. The family Asteraceae had the largest number of reported species; Carapa guianensis Aubl., Copaifera martii Hayne, Crescentia cujete L., Caesalpinia ferrea Mart., Chenopodium ambrosioides L., Jatropha curcas L. and Momordica charantia L. were species with highest use- value. The plant parts that were more commonly utilized for the preparation of ethnoveterinary medicines were the leaves (56%), bark (18%), roots (14%), seeds (14%) and fruit (8%). With regard to usage, tea was reported as a usage method by 56% of the informants; most preparations (90.9%) utilized only a single plant. In addition to medicinal plants, informants reported using products of animal and mineral origin. The present study contributed to the construction of an inventory of Marajó Island's ethnoveterinary plants, which might be the basis for future scientific validation studies.

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Monovarietal extra-virgin olive oil classification: a fusion of human sensory attributes and an electronic tongue

Olive oil quality grading is traditionally assessed by human sensory evaluation of positive and negative attributes (olfactory, gustatory, and final olfactorygustatory sensations). However, it is not guaranteed that trained panelist can correctly classify monovarietal extra-virgin olive oils according to olive cultivar. In this work, the potential application of human (sensory panelists) and artificial (electronic tongue) sensory evaluation of olive oils was studied aiming to discriminate eight single-cultivar extra-virgin olive oils. Linear discriminant, partial least square discriminant, and sparse partial least square discriminant analyses were evaluated. The best predictive classification was obtained using linear discriminant analysis with simulated annealing selection algorithm. A low-level data fusion approach (18 electronic tongue signals and nine sensory attributes) enabled 100 % leave-one-out cross-validation correct classification, improving the discrimination capability of the individual use of sensor profiles or sensory attributes (70 and 57 % leave-one-out correct classifications, respectively). So, human sensory evaluation and electronic tongue analysis may be used as complementary tools allowing successful monovarietal olive oil discrimination.

Segmentação do tecido tumoral cerebral em imagens de ressonância magnética

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Eletrónica Médica)

Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

Supercritical fluid and pharmaceutical applications. Part I: Process classification

The supercritical fluid technology has been target of many pharmaceuticals investigations in particles production for almost 35 years. This is due to the great advantages it offers over others technologies currently used for the same purpose. A brief history is presented, as well the classification of supercritical technology based on the role that the supercritical fluid (carbon dioxide) performs in the process.