970 resultados para hierarchical classification structures
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This study presents a classification criteria for two-class Cannabis seedlings. As the cultivation of drug type cannabis is forbidden in Switzerland, law enforcement authorities regularly ask laboratories to determine cannabis plant's chemotype from seized material in order to ascertain that the plantation is legal or not. In this study, the classification analysis is based on data obtained from the relative proportion of three major leaf compounds measured by gas-chromatography interfaced with mass spectrometry (GC-MS). The aim is to discriminate between drug type (illegal) and fiber type (legal) cannabis at an early stage of the growth. A Bayesian procedure is proposed: a Bayes factor is computed and classification is performed on the basis of the decision maker specifications (i.e. prior probability distributions on cannabis type and consequences of classification measured by losses). Classification rates are computed with two statistical models and results are compared. Sensitivity analysis is then performed to analyze the robustness of classification criteria.
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CONTEXTE Les vasculites représentent un groupe de maladies inflammatoires touchant tous les vaisseaux, des grosses artères aux artères de plus petit calibre, en passant par les capillaires et les veines, de toutes tailles également. La taille des vaisseaux atteints est d'une importance cruciale pour le diagnostic puisque la classification actuelle en dépend. Sur le plan histopathologique, la vasculite est une réaction inflammatoire qui atteint la paroi de vaisseaux, et qui va entraîner alors une ischémie, puis une nécrose du vaisseau lui-‐ même voire des structures environnantes ; les caractéristiques microscopiques de ces lésions permettent souvent d'aider à préciser le groupe auquel appartient la vasculite. Cependant, il n'est pas toujours facile ni possible d'obtenir un échantillon de tissu, une biopsie, selon l'endroit concerné (cerveau, régions profondes et difficilement accessibles...). OBJECTIFS Dans les atteintes de type « vasculite », la peau est fréquemment un organe cible. Le grand avantage est son accès direct et aisé, notamment dans le but de pratiquer un examen histopathologique par le biais d'une biopsie, qui peut se pratiquer de manière superficielle ou profonde, révélant alors des vaisseaux de différents calibres. Face à un tableau clinique parfois complexe et menaçant, il est important de pouvoir orienter le diagnostic rapidement. L'objectif de ce travail est donc de déterminer quelles sont l'utilité et l'apport de la biopsie cutanée dans le diagnostic des vasculites, et autrement dit de déterminer s'il vaut la peine de pratiquer ce genre d'examen, ou s'il vaut mieux privilégier d'autres approches plus rentables sur ce plan-‐là. METHODES Grâce à l'aide des dermatologues et à la base de données du Service de dermatopathologie du CHUV, nous nous proposons de faire une étude rétrospective et systématique, sur les 5 années passées, de toutes les biopsies cutanées compatibles avec le diagnostic de vasculite. RESULTATS ESCOMPTES Ils sont de deux ordres : déterminer d'une part si le résultat de la biopsie était compatible avec le diagnostic clinique retenu chez les patients ayant subi ce type d'examen. Cela nous permettra alors d'établir des recommandations pour la réalisation éventuelle d'une biopsie cutanée dans ce type de situation. Il sera en effet capital de savoir si ce geste est utile et, le cas échéant, s'il faut demander une biopsie profonde ou si une biopsie superficielle est suffisante. Ce travail nous permettra d'autre part de revoir les caractéristiques cutanées -‐ sur le plan histopathologique -‐ des vasculites, et de déterminer aussi leur fréquence. Dans l'idéal, ce travail devrait permettre de faire la revue et la mise à jour des connaissances dans le domaine des vasculites cutanées, utiles aux praticiens notamment.
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Eggs of two species belonging to the Arribalzagia Series of the Laticorn Section of Anopheles (Anopheles) collected in Brazil are described from scanning electron micrographs. The An. fluminensis egg is long with shallow floats displaced far dorsally. The narrow deck region is overlain by a frill modified into prominent ridges that are nearly continuous to both ends of the egg. Slightly opened decks at both poles contain an average of four lobed tubercles. Polygonal, plastron-type chorionic cells cover the lateral and dorsal surfaces. The egg of An. shannoni is unique in possessing 22-27 fingerlike filaments that project with regular spacing from each of its massive floats. These filaments and their bases are highly perforated and are believed to trap air and support flotation of the egg with the dorsal surface up, contrary to the usual orientation for anophelines. The eggs are compared with those of related species bearing similar structures, notably An. fluminensis with An. mediopunctatus s.s and An. shannoni with An. peryassui
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Triatoma brasiliensis is considered one of the most important Chagas disease vectors being a widespread species in semiarid areas of northeastern Brazil. The species displays distinct chromatic patterns of the cuticle in different localities. Four populations were analyzed in this study: 1-Caicó, Rio Grande do Norte, it will be called the brasiliensis population; 2-Espinosa, Minas Gerais, the melanica population; 3-Petrolina, Pernambuco, the macromelasoma population, and 4-Juazeiro, Bahia, the darker one in overall cuticle coloration, the Juazeiro population. In order to differentiate the four populations of T. brasiliensis, a comparative morphological analysis of external genital structures and of eggs were carried out. The analysis of the male genital structures evidenced minor individual structural variations that did not correlate with chromatic differences or the geographical origins, emphasizing the importance of examining sufficiently large and representative samples before using minor genital variations for taxonomic diagnosis. By scanning electron microscopy of the egg exochorion, each chromatic population presented a distinct ornamentation pattern. The melanica population differed mainly from the other populations studied since it had about 40.6%, 69.6% and 76.6% more perforations, on each cell exochorion, than the brasiliensis, the Juazeiro and the macromelasoma populations respectively. In the melanica population the perforation layout is also peculiar, with densely distributed perforations over all the egg surface. Morphometric measures of the eggs showed statistically significant differences: the macromelasoma population presented the longest length (2.43 mm) while the shortest was recorded in the brasiliensis population (2.29 mm).
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In the recent years, kernel methods have revealed very powerful tools in many application domains in general and in remote sensing image classification in particular. The special characteristics of remote sensing images (high dimension, few labeled samples and different noise sources) are efficiently dealt with kernel machines. In this paper, we propose the use of structured output learning to improve remote sensing image classification based on kernels. Structured output learning is concerned with the design of machine learning algorithms that not only implement input-output mapping, but also take into account the relations between output labels, thus generalizing unstructured kernel methods. We analyze the framework and introduce it to the remote sensing community. Output similarity is here encoded into SVM classifiers by modifying the model loss function and the kernel function either independently or jointly. Experiments on a very high resolution (VHR) image classification problem shows promising results and opens a wide field of research with structured output kernel methods.
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Little is known about the molecular mechanisms underlying the release of merozoites from malaria infected erythrocytes. In this study membranous structures present in the culture medium at the time of merozoite release have been characterized. Biochemical and ultrastructural evidence indicate that membranous structures consist of the infected erythrocyte membrane, the parasitophorous vacuolar membrane and a residual body containing electron dense material. These are subcellular compartments expected in a structure that arises as a consequence of merozoite release from the infected cell. Ultrastructural studies show that a novel structure extends from the former parasite compartment to the surface membrane. Since these membrane modifications are detected only after merozoites have been released from the infected erythrocyte, it is proposed that they might play a role in the release of merozoites from the host cell
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[Table des matières] Résumés. - 2. Introduction. - 3. Méthode pour l'enquête clientèle. - 4. Tendances pour l'ensemble des répondants: Caractéristiques sociodémographiques des usagers ; Consommation de substances et traitement de substitution ; Indicateurs de pratique de l'injection ; Activité sexuelle et comportement préventif; Indicateurs de l'état de santé ; Incarcération en lien avec la drogue et consommation en prison. - 5. Tendances pour les injecteurs de drogue au cours de la vie: Caractéristiques sociodémographiques des usagers injecteurs de drogue ; Consommation de substances et traitement de substitution ; Indicateurs de pratique de l'injection ; Partage de seringues et de matériel ; Activité sexuelle et comportement préventif ; Indicateurs de l'état de santé ; Incarcération en lien avec la drogue et consommation en prison. - 6. Tendances pour les consommateurs de drogue qui ne se sont jamais injecté de drogue au cours de la vie: Caractéristiques sociodémographiques des usagers non-injecteurs de drogue ; Consommation de substances et traitement de substitution ; Activité sexuelle et comportement préventif ; Indicateurs de l'état de santé ; Incarcération en lien avec la drogue et consommation en prison. - 7. Références
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OBJECTIVE: The aim of this pilot study was to describe problems in functioning and associated rehabilitation needs in persons with spinal cord injury after the 2010 earthquake in Haiti by applying a newly developed tool based on the International Classification of Functioning, Disability and Health (ICF). DESIGN: Pilot study. SUBJECTS: Eighteen persons with spinal cord injury (11 women, 7 men) participated in the needs assessment. Eleven patients had complete lesions (American Spinal Injury Association Impairment Scale; AIS A), one patient had tetraplegia. METHODS: Data collection included information from the International Spinal Cord Injury Core Data Set and a newly developed needs assessment tool based on ICF Core Sets. This tool assesses the level of functioning, the corresponding rehabilitation need, and required health professional. Data were summarized using descriptive statistics. RESULTS: In body functions and body structures, patients showed typical problems following spinal cord injury. Nearly all patients showed limitations and restrictions in their activities and participation related to mobility, self-care and aspects of social integration. Several environmental factors presented barriers to these limitations and restrictions. However, the availability of products and social support were identified as facilitators. Rehabilitation needs were identified in nearly all aspects of functioning. To address these needs, a multidisciplinary approach would be needed. CONCLUSION: This ICF-based needs assessment provided useful information for rehabilitation planning in the context of natural disaster. Future studies are required to test and, if necessary, adapt the assessment.
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"Vegeu el resum a l'inici del document del fitxer adjunt"
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The authors present morphogenetic and biomechanical approaches on the concept of the Schistosoma mansoni granulomas, considering them as organoid structures that depend on cellular adhesion and sorting, forming rearrangement into hierarchical concentric layers, creating tension-dependent structures, aiming to acquire round form, since this is the minimal energy form, in which opposing forces pull in equally from all directions and are in balance. From the morphogenetic point of view, the granulomas function as little organs, presenting maturative and involutional stages in their development with final disappearance (pre-granulomatous stages, subdivided in: weakly and/or initial reactive and exudative; granulomatous stages: exudative-productive, productive and involutional). A model for the development of granulomas was suggested, according to the following stages: encapsulating, focal histolysis, fiber production, orientation and compacting and involution and desintegration. The authors concluded that schistosomal granuloma is not a tangled web of individual cells and fibers, but an organized structure composed by host and parasite components, which is not formed to attack the miracidia, but functions as an hybrid interface between two different phylogenetic beings.
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Land cover classification is a key research field in remote sensing and land change science as thematic maps derived from remotely sensed data have become the basis for analyzing many socio-ecological issues. However, land cover classification remains a difficult task and it is especially challenging in heterogeneous tropical landscapes where nonetheless such maps are of great importance. The present study aims to establish an efficient classification approach to accurately map all broad land cover classes in a large, heterogeneous tropical area of Bolivia, as a basis for further studies (e.g., land cover-land use change). Specifically, we compare the performance of parametric (maximum likelihood), non-parametric (k-nearest neighbour and four different support vector machines - SVM), and hybrid classifiers, using both hard and soft (fuzzy) accuracy assessments. In addition, we test whether the inclusion of a textural index (homogeneity) in the classifications improves their performance. We classified Landsat imagery for two dates corresponding to dry and wet seasons and found that non-parametric, and particularly SVM classifiers, outperformed both parametric and hybrid classifiers. We also found that the use of the homogeneity index along with reflectance bands significantly increased the overall accuracy of all the classifications, but particularly of SVM algorithms. We observed that improvements in producer’s and user’s accuracies through the inclusion of the homogeneity index were different depending on land cover classes. Earlygrowth/degraded forests, pastures, grasslands and savanna were the classes most improved, especially with the SVM radial basis function and SVM sigmoid classifiers, though with both classifiers all land cover classes were mapped with producer’s and user’s accuracies of around 90%. Our approach seems very well suited to accurately map land cover in tropical regions, thus having the potential to contribute to conservation initiatives, climate change mitigation schemes such as REDD+, and rural development policies.