5 resultados para 18F Labelling
em Universidad de Alicante
Resumo:
The Elliptical Scanning Algorithm is an effective method to individually detect and label the projected rings. It consecutively defines an elliptical annulus of one pixel wide which grows pixel by pixel and sweeps the image, from centre to periphery, until it detects and labels each whole ring. In a way, it works like a snake-annealing algorithm. Active contour models (snakes) are energy-minimising curves that deform to fit image features. Elliptical Scanning Algorithm changes its geometry in order to label reflected rings.
Resumo:
OBJETIVO: Analizar la opinión que los usuarios tienen sobre alimentos genéticamente modificados y su información en el etiquetado. MÉTODOS: Realizada revisión sistemática de la literatura científica sobre los alimentos transgénicos y el etiquetado a partir de la consulta de las bases de datos bibliográficas: Medline (vía PubMed), EMBASE, ISIWeb of Knowledge, Cochrane Library Plus, FSTA, LILACS, CINAHL y AGRICOLA. Los descriptores seleccionados fueron: «organisms, genetically modified» y «food labeling». La búsqueda se realizó desde la primera fecha disponible hasta junio de 2012, seleccionando los artículos pertinentes escritos en inglés, portugués y castellano. RESULTADOS: Se seleccionaron 40 artículos. En todos ellos, se debía haber realizado una intervención poblacional enfocada al conocimiento de los consumidores sobre los alimentos genéticamente modificados y su necesidad, o no, de incluir información en el etiquetado. El consumidor expresa su preferencia por el producto no-genéticamente modificado, y apunta que está dispuesto a pagar algo más por él, pero, en definitiva compra el artículo que está a mejor precio en un mercado que acoge las nuevas tecnologías. En 18 artículos la población se mostraba favorable a su etiquetado obligatorio y seis al etiquetado voluntario; siete trabajos demostraban el poco conocimiento de la población sobre los transgénicos y, en tres, la población subestimó la cantidad que consumía. En todo caso, se observó la influencia del precio del producto genéticamente modificado. CONCLUSIONES: La etiqueta debe ser homogénea y aclarar el grado de tolerancia en humanos de alimentos genéticamente modificados en comparación con los no modificados. Asimismo, debe dejar claro su composición, o no, de alimento genéticamente modificado y la forma de producción de estos artículos de consumo. La etiqueta también debe ir acompañada de un sello de certificación de una agencia del estado y datos para contacto. El consumidor expresa su preferencia por el producto no-genéticamente modificado pero señaló que acaba comprando el artículo que está a mejor precio en un mercado que acoge las nuevas tecnologías.
Resumo:
Background: Retinal ganglion cell death underlies the pathophysiology of neurodegenerative disorders such as glaucoma or optic nerve trauma. To assess the potential influence of photoreceptor degeneration on retinal ganglion cell survival, and to evaluate functionality, we took advantage of the optic nerve section mouse model. Methods: Surviving retinal ganglion cells were double-stained by exposing both superior colliculi to fluorogold, and by applying dextran-tetramethylrhodamine to the injured optic nerve stump. To assess retinal function in wild-type animals, electroretinograms were recorded on the injured eyes and compared with the contralateral. Similar labelling experiments were carried out on retinal degeneration 1 mice. Surviving retinal ganglion cells were counted 21 days after axotomy and compared with wild-type mice. No functional experiments were performed on retinal degeneration 1 animals because they do not develop normal electroretinographical responses. Results: A significant decrease in retinal ganglion cell density was observed 6 days after axotomy in the wild type. Functional studies revealed that, in scotopic conditions, axotomy induced a significant amplitude decrease in the positive scotopic threshold response component of the electroretinogram. Such decrease paralleled cell loss, suggesting it may be an appropriate technique to evaluate functionality. When comparing retinal ganglion cell densities in wild-type and retinal degeneration 1 mice, a significant greater survival was observed on the latter. Conclusions: After optic nerve section, electroretinographical recordings exhibited a progressive decrease in the amplitude of the positive scotopic threshold response wave, reflecting ganglion cell loss. Interestingly, rod degeneration seemed, at least initially, to protect from axotomy-driven damage.
Resumo:
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the classification computational complexity, and to improving the classifier performance by avoiding redundant or irrelevant features. Although feature selection can be formally defined as an optimisation problem with only one objective, that is, the classification accuracy obtained by using the selected feature subset, in recent years, some multi-objective approaches to this problem have been proposed. These either select features that not only improve the classification accuracy, but also the generalisation capability in case of supervised classifiers, or counterbalance the bias toward lower or higher numbers of features that present some methods used to validate the clustering/classification in case of unsupervised classifiers. The main contribution of this paper is a multi-objective approach for feature selection and its application to an unsupervised clustering procedure based on Growing Hierarchical Self-Organising Maps (GHSOMs) that includes a new method for unit labelling and efficient determination of the winning unit. In the network anomaly detection problem here considered, this multi-objective approach makes it possible not only to differentiate between normal and anomalous traffic but also among different anomalies. The efficiency of our proposals has been evaluated by using the well-known DARPA/NSL-KDD datasets that contain extracted features and labelled attacks from around 2 million connections. The selected feature sets computed in our experiments provide detection rates up to 99.8% with normal traffic and up to 99.6% with anomalous traffic, as well as accuracy values up to 99.12%.
Resumo:
Pochonia chlamydosporia (Pc), a nematophagous fungus and root endophyte, uses appressoria and extracellular enzymes, principally proteases, to infect the eggs of plant parasitic nematodes (PPN). Unlike other fungi, Pc is resistant to chitosan, a deacetylated form of chitin, used in agriculture as a biopesticide to control plant pathogens. In the present work, we show that chitosan increases Meloidogyne javanica egg parasitism by P. chlamydosporia. Using antibodies specific to the Pc enzymes VCP1 (a subtilisin), and SCP1 (a serine carboxypeptidase), we demonstrate chitosan elicitation of the fungal proteases during the parasitic process. Chitosan increases VCP1 immuno-labelling in the cell wall of Pc conidia, hyphal tips of germinating spores, and in appressoria on infected M. javanica eggs. These results support the role of proteases in egg parasitism by the fungus and their activation by chitosan. Phylogenetic analysis of the Pc genome reveals a large diversity of subtilisins (S8) and serine carboxypeptidases (S10). The VCP1 group in the S8 tree shows evidence of gene duplication indicating recent adaptations to nutrient sources. Our results demonstrate that chitosan enhances Pc infectivity of nematode eggs through increased proteolytic activities and appressoria formation and might be used to improve the efficacy of M. javanica biocontrol.