Osiris— The optical, spectroscopic and infrared remote imaging system for the Rosetta orbiter

The scientific objectives, design, and implementation of the Optical, Spectroscopic, and Infrared Remote Imaging System (OSIRIS) for the International Rosetta Mission are described. The instrument comprises two camera systems with a common electronics box. A narrow angle camera will provide high resolution images of the structure and morphology of the nucleus of a comet. A wide angle camera with high straylight rejection and dynamic range will be used to investigate the innermost coma and the emission process at the surface of the comet. An infrared imaging system, which dramatically enhances the scientific return has been included in the narrow angle camera at little extra cost.

Técnicas de machine learning para la detección de la negación en textos clínicos en español

En los últimos años han surgido nuevos campos de las tecnologías de la información que exploran el tratamiento de la gran cantidad de datos digitales existentes y cómo transformarlos en conocimiento explícito. Las técnicas de Procesamiento del Lenguaje Natural (NLP) son capaces de extraer información de los textos digitales presentados en forma narrativa. Además, las técnicas de machine learning clasifican instancias o ejemplos en función de sus atributos, en distintas categorías, aprendiendo de otros previamente clasificados. Los textos clínicos son una gran fuente de información no estructurada; en consecuencia, información no explotada en su totalidad. Algunos términos usados en textos clínicos se encuentran en una situación de afirmación, negación, hipótesis o histórica. La detección de esta situación es necesaria para la estructuración de información, pero a su vez tiene una gran complejidad. Extrayendo características lingüísticas de los elementos, o tokens, de los textos mediante NLP; transformando estos tokens en instancias y las características en atributos, podemos mediante técnicas de machine learning clasificarlos con el objetivo de detectar si se encuentran afirmados, negados, hipotéticos o históricos. La selección de los atributos que cada token debe tener para su clasificación, así como la selección del algoritmo de machine learning utilizado son elementos cruciales para la clasificación. Son, de hecho, los elementos que componen el modelo de clasificación. Consecuentemente, este trabajo aborda el proceso de extracción de características, selección de atributos y selección del algoritmo de machine learning para la detección de la negación en textos clínicos en español. Se expone un modelo para la clasificación que, mediante el algoritmo J48 y 35 atributos obtenidos de características lingüísticas (morfológicas y sintácticas) y disparadores de negación, detecta si un token está negado en 465 frases provenientes de textos clínicos con un F-Score del 73%, una exhaustividad del 66% y una precisión del 81% con una validación cruzada de 10 iteraciones. ---ABSTRACT--- New information technologies have emerged in the recent years which explore the processing of the huge amount of existing digital data and its transformation into knowledge. Natural Language Processing (NLP) techniques are able to extract certain features from digital texts. Additionally, through machine learning techniques it is feasible to classify instances according to different categories, learning from others previously classified. Clinical texts contain great amount of unstructured data, therefore information not fully exploited. Some terms (tokens) in clinical texts appear in different situations such as affirmed, negated, hypothetic or historic. Detecting this situation is necessary for the structuring of this data, however not simple. It is possible to detect whether if a token is negated, affirmed, hypothetic or historic by extracting its linguistic features by NLP; transforming these tokens into instances, the features into attributes, and classifying these instances through machine learning techniques. Selecting the attributes each instance must have, and choosing the machine learning algorithm are crucial issues for the classification. In fact, these elements set the classification model. Consequently, this work approaches the features retrieval as well as the attributes and algorithm selection process used by machine learning techniques for the detection of negation in clinical texts in Spanish. We present a classification model which, through J48 algorithm and 35 attributes from linguistic features (morphologic and syntactic) and negation triggers, detects whether if a token is negated in 465 sentences from historical records, with a result of 73% FScore, 66% recall and 81% precision using a 10-fold cross-validation.

Analysis by finite element calculations of light scattering in laser-textured AZO films for PV thin-film solar cells

In the thin-film photovoltaic industry, to achieve a high light scattering in one or more of the cell interfaces is one of the strategies that allow an enhancement of light absorption inside the cell and, therefore, a better device behavior and efficiency. Although chemical etching is the standard method to texture surfaces for that scattering improvement, laser light has shown as a new way for texturizing different materials, maintaining a good control of the final topography with a unique, clean, and quite precise process. In this work AZO films with different texture parameters are fabricated. The typical parameters used to characterize them, as the root mean square roughness or the haze factor, are discussed and, for deeper understanding of the scattering mechanisms, the light behavior in the films is simulated using a finite element method code. This method gives information about the light intensity in each point of the system, allowing the precise characterization of the scattering behavior near the film surface, and it can be used as well to calculate a simulated haze factor that can be compared with experimental measurements. A discussion of the validation of the numerical code, based in a comprehensive comparison with experimental data is included.

Detecting, Localizing and Following Dynamic Objects with a Mini-UAV

This paper presents an approach for the detection, localization and following of dynamic terrestrial objects using a mini-UAV. The development is intended to be used for surveillance of large infrastructures. The detection algorithm is based on finding several pre-defined characteristics of the target, such as color, shape and size. The process used to localize the target, once it is detected, is based on an inversion of the Pinhole camera model. The task of following the Summit XL was designed to keep the target inside the field of view of the camera, and it was implemented in the form of a PID controller. The system has been tested both in simulation and with real robots, showing promising results.

Concepções e práticas de avaliação de professores de ciências físico-químicas do ensino básico

Este estudo teve como objetivo caracterizar as concepções e práticas de avaliação de professores portugueses de Ciências Físico-Químicas do ensino básico e conhecer como estes integram a avaliação nas suas aulas no contexto de uma reorganização curricular. Realizaram-se três estudos de caso, em que participaram professores com menos de três anos de serviço. A recolha de dados consistiu na observação naturalista de aulas, entrevistas semiestruturadas e documentos fornecidos pelos participantes. Os resultados evidenciam duas concepções de avaliação das aprendizagens: avaliação da aprendizagem e avaliação para a aprendizagem. Um dos participantes evidencia uma concepção de avaliação da aprendizagem, valorizando uma avaliação de natureza sumativa. Os professores com uma concepção sobre avaliação para a aprendizagem promovem uma avaliação orientada para a melhoria das aprendizagens, valorizando o carácter formativo da avaliação. Relativamente às práticas avaliativas dos três participantes, verificou-se que os critérios de avaliação não são explicitados aos alunos, o feedback é pouco frequente e os alunos têm um papel reduzido no processo de avaliação. Todos os professores demonstram dificuldades na avaliação das competências atitudinais e processuais, sendo que, apenas um dos participantes elabora registos de observação para avaliar estas competências. Os testes constituem o principal instrumento de avaliação nas aulas dos professores participantes neste estudo, o que é coerente com uma concepção de ensino e aprendizagem ainda, marcadamente tradicional.

COMPETÊNCIAS ORGANIZACIONAIS EM UM MERCADO REGULADO: A CONTRIBUIÇÃO DO SISTEMA DE INFORMAÇÕES DE BENEFICIÁRIOS DA ANS

A presente dissertação tem como objetivo estudar a contribuição do Sistema de Informação de Beneficiários da Agência Nacional de Saúde Suplementar SIB/ANS para a formação e o desenvolvimento de competências organizacionais junto às empresas operadoras de planos de saúde, necessárias para se adequarem á um mercado regulado. A pesquisa teve caráter descritivo e etapa qualitativa, com análise bibliográfica e documental, quantitativa, mediante levantamento de dados de beneficiários relacionados a 27 (vinte e sete) operadoras de planos de saúde sediadas no ABCD paulista. Realizou-se análise descritiva da importância para as empresas dos dados de beneficiários em relação às competências sobre o processo, técnica e sobre a organização. Observou-se que nas duas primeiras competências analisadas, de uma tendência de melhoria, sendo que na última competência analisada, fica a esperar por melhoria de resultado, uma vez que demonstra que falta integração entre os dados e informações sobre os usuários das empresas integrantes da amostra, além da existência de dados incompletos e do uso de procedimentos inadequados para suprir essa deficiência (grande freqüência de dados repetidos). Conclui-se que, como a finalidade do SIB é identificar o beneficiário e o plano de saúde por ele contratado, e somente 37% das OPS conseguiram atender a contento, sob os diferentes eixos de avaliação desta competência, os requisitos básicos dos objetivos do SIB não foram alcançados e/ou entendidos pelos 63% das demais operadoras, indicando que as operadoras de planos de saúde devem se atentar para os significados que pretendeu-se apresentar no presente trabalho, como forma de melhorarem seu desempenho e, conseqüentemente, sua competitividade em um mercado regulado.(AU)

COMPETÊNCIAS ORGANIZACIONAIS EM UM MERCADO REGULADO: A CONTRIBUIÇÃO DO SISTEMA DE INFORMAÇÕES DE BENEFICIÁRIOS DA ANS

A presente dissertação tem como objetivo estudar a contribuição do Sistema de Informação de Beneficiários da Agência Nacional de Saúde Suplementar SIB/ANS para a formação e o desenvolvimento de competências organizacionais junto às empresas operadoras de planos de saúde, necessárias para se adequarem á um mercado regulado. A pesquisa teve caráter descritivo e etapa qualitativa, com análise bibliográfica e documental, quantitativa, mediante levantamento de dados de beneficiários relacionados a 27 (vinte e sete) operadoras de planos de saúde sediadas no ABCD paulista. Realizou-se análise descritiva da importância para as empresas dos dados de beneficiários em relação às competências sobre o processo, técnica e sobre a organização. Observou-se que nas duas primeiras competências analisadas, de uma tendência de melhoria, sendo que na última competência analisada, fica a esperar por melhoria de resultado, uma vez que demonstra que falta integração entre os dados e informações sobre os usuários das empresas integrantes da amostra, além da existência de dados incompletos e do uso de procedimentos inadequados para suprir essa deficiência (grande freqüência de dados repetidos). Conclui-se que, como a finalidade do SIB é identificar o beneficiário e o plano de saúde por ele contratado, e somente 37% das OPS conseguiram atender a contento, sob os diferentes eixos de avaliação desta competência, os requisitos básicos dos objetivos do SIB não foram alcançados e/ou entendidos pelos 63% das demais operadoras, indicando que as operadoras de planos de saúde devem se atentar para os significados que pretendeu-se apresentar no presente trabalho, como forma de melhorarem seu desempenho e, conseqüentemente, sua competitividade em um mercado regulado.(AU)

Phenotypic switching in the human pathogenic fungus Cryptococcus neoformans is associated with changes in virulence and pulmonary inflammatory response in rodents

High-frequency reversible changes in colony morphology were observed in three strains of Cryptococcus neoformans. For one strain (SB4, serotype A), this process produced three colony types: smooth (S), wrinkled (W), and serrated (C). The frequency of switching between colony types varied for the individual colony transitions and was as high as 10−3. Mice infected with colony type W died faster than those infected with other colony types. The rat inflammatory response to infection with colony types S, W, and C was C > S > W and ranged from intense granulomatous inflammation with caseous necrosis for infection with type C to minimal inflammation for infection with type W. Infection with the various colony types was associated with different antibody responses to cryptococcal proteins in rats. Analysis of cellular characteristics revealed differences between the three colony types. High-frequency changes in colony morphology were also observed in two additional strains of C. neoformans. For one strain (24067A, serotype D) the switching occurred between smooth and wrinkled colonies. For the other strain (J32A, serotype A), the switching occurred between mucoid and nonmucoid colonies. The findings indicate that C. neoformans undergoes phenotypic switching and that this process can affect virulence and host inflammatory and immune responses. Phenotypic switching may play a role in the ability of this fungus to escape host defenses and establish chronic infections.

A global two component signal transduction system that integrates the control of photosynthesis, carbon dioxide assimilation, and nitrogen fixation

Photosynthesis, biological nitrogen fixation, and carbon dioxide assimilation are three fundamental biological processes catalyzed by photosynthetic bacteria. In the present study, it is shown that mutant strains of the nonsulfur purple photosynthetic bacteria Rhodospirillum rubrum and Rhodobacter sphaeroides, containing a blockage in the primary CO2 assimilatory pathway, derepress the synthesis of components of the nitrogen fixation enzyme complex and abrogate normal control mechanisms. The absence of the Calvin–Benson–Bassham (CBB) reductive pentose phosphate CO2 fixation pathway removes an important route for the dissipation of excess reducing power. Thus, the mutant strains develop alternative means to remove these reducing equivalents, resulting in the synthesis of large amounts of nitrogenase even in the presence of ammonia. This response is under the control of a global two-component signal transduction system previously found to regulate photosystem biosynthesis and the transcription of genes required for CO2 fixation through the CBB pathway and alternative routes. In addition, this two-component system directly controls the ability of these bacteria to grow under nitrogen-fixing conditions. These results indicate that there is a molecular link between the CBB and nitrogen fixation process, allowing the cell to overcome powerful control mechanisms to remove excess reducing power generated by photosynthesis and carbon metabolism. Furthermore, these results suggest that the two-component system integrates the expression of genes required for the three processes of photosynthesis, nitrogen fixation, and carbon dioxide fixation.

Equilibrium distributions of microsatellite repeat length resulting from a balance between slippage events and point mutations

We describe and test a Markov chain model of microsatellite evolution that can explain the different distributions of microsatellite lengths across different organisms and repeat motifs. Two key features of this model are the dependence of mutation rates on microsatellite length and a mutation process that includes both strand slippage and point mutation events. We compute the stationary distribution of allele lengths under this model and use it to fit DNA data for di-, tri-, and tetranucleotide repeats in humans, mice, fruit flies, and yeast. The best fit results lead to slippage rate estimates that are highest in mice, followed by humans, then yeast, and then fruit flies. Within each organism, the estimates are highest in di-, then tri-, and then tetranucleotide repeats. Our estimates are consistent with experimentally determined mutation rates from other studies. The results suggest that the different length distributions among organisms and repeat motifs can be explained by a simple difference in slippage rates and that selective constraints on length need not be imposed.

Allosteric crosstalk between peptide-binding, transport, and ATP hydrolysis of the ABC transporter TAP

The transporter associated with antigen processing (TAP) is essential for intracellular transport of protein fragments into the endoplasmic reticulum for loading of major histocompatibility complex (MHC) class I molecules. On the cell surface, these peptide–MHC complexes are monitored by cytotoxic T lymphocytes. To study the ATP hydrolysis of TAP, we developed an enrichment and reconstitution procedure, by which we fully restored TAP function in proteoliposomes. A TAP-specific ATPase activity was identified that could be stimulated by peptides and blocked by the herpes simplex virus protein ICP47. Strikingly, the peptide-binding motif of TAP directly correlates with the stimulation of the ATPase activity, demonstrating that the initial peptide-binding step is responsible for TAP selectivity. ATP hydrolysis follows Michaelis–Menten kinetics with a maximal velocity Vmax of 2 μmol/min per mg TAP, corresponding to a turnover number of approximately 5 ATP per second. This turnover rate is sufficient to account for the role of TAP in peptide loading of MHC molecules and the overall process of antigen presentation. Interestingly, sterically restricted peptides that bind but are not transported by TAP do not stimulate ATPase activity. These results point to coordinated dialogue between the peptide-binding site, the nucleotide-binding domain, and the translocation site via conformational changes within the TAP complex.

Role of the Ascorbate-Glutathione Cycle of Mitochondria and Peroxisomes in the Senescence of Pea Leaves1

We investigated the relationship between H2O2 metabolism and the senescence process using soluble fractions, mitochondria, and peroxisomes from senescent pea (Pisum sativum L.) leaves. After 11 d of senescence the activities of Mn-superoxide dismutase, dehydroascorbate reductase (DHAR), and glutathione reductase (GR) present in the matrix, and ascorbate peroxidase (APX) and monodehydroascorbate reductase (MDHAR) activities localized in the mitochondrial membrane, were all substantially decreased in mitochondria. The mitochondrial ascorbate and dehydroascorbate pools were reduced, whereas the oxidized glutathione levels were maintained. In senescent leaves the H2O2 content in isolated mitochondria and the NADH- and succinate-dependent production of superoxide (O2·−) radicals by submitochondrial particles increased significantly. However, in peroxisomes from senescent leaves both membrane-bound APX and MDHAR activities were reduced. In the matrix the DHAR activity was enhanced and the GR activity remained unchanged. As a result of senescence, the reduced and the oxidized glutathione pools were considerably increased in peroxisomes. A large increase in the glutathione pool and DHAR activity were also found in soluble fractions of senescent pea leaves, together with a decrease in GR, APX, and MDHAR activities. The differential response to senescence of the mitochondrial and peroxisomal ascorbate-glutathione cycle suggests that mitochondria could be affected by oxidative damage earlier than peroxisomes, which may participate in the cellular oxidative mechanism of leaf senescence longer than mitochondria.

Transformation of Rat-1 fibroblasts with the v-src oncogene increases the tyrosine phosphorylation state and activity of the alpha subunit of Gq/G11.

Two major intermediaries in signal transduction pathways are pp60v-sre family tyrosine kinases and heterotrimeric guanine nucleotide-binding proteins. In Rat-1 fibroblasts transformed by the v-src oncogene, endothelin-1 (ET-1)-induced inositol 1,4,5-trisphosphate accumulation is increased 6-fold, without any increases in the numbers of ET-1 receptors or in the response to another agonist, thrombin. This ET-1 hyperresponse can be inhibited by an antibody directed against the carboxyl terminus of the Gq/G11 alpha subunit, suggesting that the Gq/G11 protein couples ET-1 receptors to phospholipase C (PLC). While v-src transformation did not increase the expression of the Gq/G11 alpha subunit, immunoblotting with anti-phosphotyrosine antibodies and phosphoamino acid analysis demonstrated that the Gq/G11 alpha subunit becomes phosphorylated on tyrosine residues in v-src-transformed cells. Moreover, when the Gq/G11 protein was extracted from control and transformed cell lines and reconstituted with exogenous PLC, AIF*4-stimulated Gq/G11 activity was markedly increased in extracts from v-src-transformed cells. Our results demonstrate that the process of v-src transformation can increase the tyrosine phosphorylation state of the Gq/G11 alpha-subunit in intact cells and that the process causes an increase in the Gq/G11 alpha-subunit's ability to stimulate PLC following activation with AIF-4.

Psychophysical evidence for fast region-based segmentation processes in motion and color.

Theories of image segmentation suggest that the human visual system may use two distinct processes to segregate figure from background: a local process that uses local feature contrasts to mark borders of coherent regions and a global process that groups similar features over a larger spatial scale. We performed psychophysical experiments to determine whether and to what extent the global similarity process contributes to image segmentation by motion and color. Our results show that for color, as well as for motion, segmentation occurs first by an integrative process on a coarse spatial scale, demonstrating that for both modalities the global process is faster than one based on local feature contrasts. Segmentation by motion builds up over time, whereas segmentation by color does not, indicating a fundamental difference between the modalities. Our data suggest that segmentation by motion proceeds first via a cooperative linking over space of local motion signals, generating almost immediate perceptual coherence even of physically incoherent signals. This global segmentation process occurs faster than the detection of absolute motion, providing further evidence for the existence of two motion processes with distinct dynamic properties.

Anti-nuclear antibody production and immune-complex glomerulonephritis in BALB/c mice treated with pristane.

The pathogenesis of systemic lupus erythematosus is thought to be primarily under genetic control, with environmental factors playing a secondary role. However, it has been shown recently that intraperitoneal injection of pristane (2,6,10,14-tetramethylpentadecane) induces autoantibodies typical of lupus in BALB/c mice, a strain not usually considered to be genetically susceptible to the disease. In this study, the induction of autoimmune disease by pristane was investigated. BALB/c mice receiving pristane were tested for autoantibody production and histopathological evidence of glomerulonephritis. Six of 11 mice developed IgM anti-single-stranded DNA antibodies shortly after receiving pristane and 4 developed IgM anti-histone antibodies, but anti-double-stranded DNA antibodies were absent. IgG anti-DNA and anti-histone antibodies were absent. In contrast, the lupus-associated anti-nuclear ribonucleoprotein/Sm and anti-Su autoantibodies produced by these mice were predominantly IgG. In addition to autoantibodies, most of the mice developed significant proteinuria. Light microscopy of the kidney showed segmental or diffuse proliferative glomerulonephritis. Electron microscopy showed subepithelial and mesangial immune-complex deposits and epithelial foot process effacement. Immunofluorescence revealed striking glomerular deposition of IgM, IgG, and C3 with a mesangial or mesangiocapillary distribution. Thus, pristane induces immune-complex glomerulonephritis in association with autoantibodies typical of lupus in BALB/c mice. These data support the idea that lupus is produced by an interplay of genetic and environmental factors and that unlike the MRL or (NZB x W)F1 mouse models, in which genetic susceptibility factors are of primary importance, environmental factors are of considerable importance in the autoimmune disease of pristane-treated BALB/c mice.