916 resultados para Searching and sorting


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We develop a neoclassical trade model with heterogeneous factors of production. We consider a world with two factors, labor and .managers., each with a distribution of ability levels. Production combines a manager of some type with a group of workers. The output of a unit depends on the types of the two factors, with complementarity between them, while exhibiting diminishing returns to the number of workers. We examine the sorting of factors to sectors and the matching of factors within sectors, and we use the model to study the determinants of the trade pattern and the effects of trade on the wage and salary distributions. Finally, we extend the model to include search frictions and consider the distribution of employment rates.

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MHC-peptide multimers containing biotinylated MHC-peptide complexes bound to phycoerythrin (PE) streptavidin (SA) are widely used for analyzing and sorting antigen-specific T cells. Here we describe alternative T cell-staining reagents that are superior to conventional reagents. They are built on reversible chelate complexes of Ni(2+)-nitrilotriacetic acid (NTA) with oligohistidines. We synthesized biotinylated linear mono-, di-, and tetra-NTA compounds using conventional solid phase peptide chemistry and studied their interaction with HLA-A*0201-peptide complexes containing a His(6), His(12), or 2×His(6) tag by surface plasmon resonance on SA-coated sensor chips and equilibrium dialysis. The binding avidity increased in the order His(6) < His(12) < 2×His(6) and NTA(1) < NTA(2) < NTA(4), respectively, depending on the configuration of the NTA moieties and increased to picomolar K(D) for the combination of a 2×His(6) tag and a 2×Ni(2+)-NTA(2). We demonstrate that HLA-A2-2×His(6)-peptide multimers containing either Ni(2+)-NTA(4)-biotin and PE-SA- or PE-NTA(4)-stained influenza and Melan A-specific CD8+ T cells equal or better than conventional multimers. Although these complexes were highly stable, they very rapidly dissociated in the presence of imidazole, which allowed sorting of bona fide antigen-specific CD8+ T cells without inducing T cell death as well as assessment of HLA-A2-peptide monomer dissociation kinetics on CD8+ T cells.

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Summary : Sorting nexin (SNX) family members play important roles in intracellular protein and membrane trafficking, The membrane-tubulating SNX9 protein has been shown to interact with multiple components of the endocytic machinery and to participate in clathrin-mediated endocytosis of cell surface receptors. It has not been investigated if SNX9 may also participate in other protein sorting pathways that involve vesicular transport, specifically the biogenesis of lysosome-related organelles (LROs). Closely related to SNX9 is SNXl8, whose function is largely unknown. In this work, we have characterized the expression of SNX9 and SNXl8 in LRO-containing cells and investigated their role in protein trafficking during the formation of LROs. Our results indicate that SNX9 and SNXl8 are not essential for the formation of LROs, nor for the sorting of melanosomal proteins. We investigated how the level of intracellular SNX9 protein is regulated and found that it is a substrate of the ubiquitin ligase Itch, a member of the NEDD4 family of E3 ubiquitin ligases. Itch ubiquitylates SNX9 and regulates SNX9 levels by enhancing its degradation. Using ? truncated proteins we found that the interaction with SNX9 is mediated by the proline-rich domain of Itch, a domain distinct from the conventional WW recognition domain, and the SH3 domain of SNX9. Interaction with the PRD of Itch is essential for SNX9 ubiquitylation and degradation. We further showed that Itch binding is not affected by tyrosine phosphorylation of SNX9. Using lentivector-mediated siRNA techniques, we found that Itch regulates the level of melanosomal proteins, while knock-down of SNX9 does not alter their level. Interestingly, we revealed that silencing of SNXIS affects the amount of the melanosomal protein Melan-A, but also of SNX9, and that SNXl8 can interact with SNX9. Taken together, our results highlight that the pool of substrates of NEDD4 family E3 ligases extends to proteins containing SH3 domains and provide insight into the potential functions of SNXI8. Résumé : Les membres de la famille des Sorting Nexins (SNX) jouent des rôles importants dans le trafic intracellulaire de protéines et membranes. Il a été démontré que la protéine SNX9, qui génère les tubules membranaires, interagit avec plusieurs composants de la machinerie d'endocytose et participe à l'endocytose des récepteurs de surface mediée par la clathrine. Aucune étude n'a investigué si SNX9 pourrait aussi participer à d'autres voies de trafic de protéines tel que le transport vésiculaire, et plus particulièrement la biogenèse des organites lysosomaux ("lysosome-related organelles", LR©s). SNXl8 est similaire à SNX9, mais sa fonction est largement inconnue. Dans ce travail, nous avons caractérisé l'expression de SNX9 et SNX18 dans des cellules contenants des LROs et investigué leur rôle dans le trafic de protéines pendant la formation des LROS. Nos résultats indiquent que SNX9 et SNXI8 ne sont essentiels ni pour la formation des LR©s, ni pour le trafic de protéines mélanosomales. Nous avons examiné la régulation du niveau intracellulaire de la protéine SNX9 et avons trouvé qu'elle est un substrat de l'ubiquitine ligase Itch, un membre de la famille NEDD4 des ubiquitine ligases E3. Itch ubiquitine SNX9 et régule les niveaux de SNX9 en augmentant sa dégradation. En utilisant des protéines mutées nous avons découvert que l'interaction avec SNX9 est médiée par le domaine riche en proline de Itch, qui est différent du domaine conventionnel de reconnaissance WW, et par le domaine SH3 de SNX9. L'interaction avec le domaine riche en proline de Itch est essentielle pour l'ubiquitination et la dégradation de SNX9. De plus, nous avons montré que cette liaison n'est pas affectée par la phosphorylation des résidus tyrosine de SNX9. En utilisant des vecteurs lentiviraux exprimant des siARN, nous avons trouvé que Itch régule les niveaux de protéines mélanosomales, alors que l'extinction de l'expression de SNX9 ne change pas leurs niveaux. En autre, nous avons révélé que la diminution de SNXl8 affecte le niveau de la protéine mélanosomale Melan-A et de SNX9, et aussi que SNXl8 peut interagir avec SNX9. En résumé, nos résultats démontrent que l'ensemble des substrats de la famille NEDD4 des ubiquitine ligases E3 s'élargit aux protéines contenant des domaines SH3 et ouvrent des perspectives sur les fonctions potentielles de SNXl8.

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Learning object repositories are a basic piece of virtual learning environments used for content management. Nevertheless, learning objects have special characteristics that make traditional solutions for content management ine ective. In particular, browsing and searching for learning objects cannot be based on the typical authoritative meta-data used for describing content, such as author, title or publicationdate, among others. We propose to build a social layer on top of a learning object repository, providing nal users with additional services fordescribing, rating and curating learning objects from a teaching perspective. All these interactions among users, services and resources can be captured and further analyzed, so both browsing and searching can be personalized according to user pro le and the educational context, helping users to nd the most valuable resources for their learning process. In this paper we propose to use reputation schemes and collaborative filtering techniques for improving the user interface of a DSpace based learning object repository.

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À l’intérieur de la cellule sillonnent d’innombrables molécules, certaines par diffusion et d’autres sur des routes moléculaires éphémères, empruntées selon les directives spécifiques de protéines responsables du trafic intracellulaire. Parmi celles-ci, on compte les sorting nexins, qui déterminent le sort de plusieurs types de protéine, comme les récepteurs, en les guidant soit vers des voies de dégradation ou de recyclage. À ce jour, il existe 33 membres des sorting nexins (Snx1-33), tous munies du domaine PX (PHOX-homology). Le domaine PX confère aux sorting nexins la capacité de détecter la présence de phosphatidylinositol phosphates (PIP), sur la surface des membranes lipidiques (ex : membrane cytoplasmique ou vésiculaire). Ces PIPs, produits de façon spécifique et transitoire, recrutent des protéines nécessaires à la progression de processus cellulaires. Par exemple, lorsqu’un récepteur est internalisé par endocytose, la région avoisinante de la membrane cytoplasmique devient occupée par PI(4,5)P2. Ceci engendre le recrutement de SNX9, qui permet la progression de l’endocytose en faisant un lien entre le cytoskelette et le complexe d’endocytose. Les recherches exposées dans cette thèse sont une description fonctionnelle de deux sorting nexins peux connues, Snx11 et Snx30. Le rôle de chacun de ces gènes a été étudié durant l’embryogenèse de la grenouille (Xenopus laevis). Suite aux résultats in vivo, une approche biomoléculaire et de culture cellulaire a été employée pour approfondir nos connaissances. Cet ouvrage démontre que Snx11 est impliqué dans le développement des somites et dans la polymérisation de l’actine. De plus, Snx11 semble influencer le recyclage de récepteurs membranaires indépendamment de l’actine. Ainsi, Snx11 pourrait jouer deux rôles intracellulaires : une régulation actine-dépendante du milieu extracellulaire et le triage de récepteurs actine-indépendant. De son côté, Snx30 est impliqué dans la différentiation cardiaque précoce par l’inhibition de la voie Wnt/β-catenin, une étape nécessaire à l’engagement d’une population de cellules du mésoderme à la ligné cardiaque. L’expression de Snx30 chez le Xénope coïncide avec cette période critique de spécification du mésoderme et le knockdown suscite des malformations cardiaques ainsi qu’à d’autres tissus dérivés du mésoderme et de l’endoderme. Cet ouvrage fournit une base pour des études futures sur Snx11 et Snx30. Ces protéines ont un impact subtil sur des voies de signalisation spécifiques. Ces caractéristiques pourraient être exploitées à des fins thérapeutiques puisque l’effet d’une interférence avec leurs fonctions pourrait être suffisant pour rétablir un déséquilibre cellulaire pathologique tout en minimisant les effets secondaires.

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Using free text and controlled vocabulary in Medline and CINAHL

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In this thesis, the author presents a query language for an RDF (Resource Description Framework) database and discusses its applications in the context of the HELM project (the Hypertextual Electronic Library of Mathematics). This language aims at meeting the main requirements coming from the RDF community. in particular it includes: a human readable textual syntax and a machine-processable XML (Extensible Markup Language) syntax both for queries and for query results, a rigorously exposed formal semantics, a graph-oriented RDF data access model capable of exploring an entire RDF graph (including both RDF Models and RDF Schemata), a full set of Boolean operators to compose the query constraints, fully customizable and highly structured query results having a 4-dimensional geometry, some constructions taken from ordinary programming languages that simplify the formulation of complex queries. The HELM project aims at integrating the modern tools for the automation of formal reasoning with the most recent electronic publishing technologies, in order create and maintain a hypertextual, distributed virtual library of formal mathematical knowledge. In the spirit of the Semantic Web, the documents of this library include RDF metadata describing their structure and content in a machine-understandable form. Using the author's query engine, HELM exploits this information to implement some functionalities allowing the interactive and automatic retrieval of documents on the basis of content-aware requests that take into account the mathematical nature of these documents.

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Applications that operate on meshes are very popular in High Performance Computing (HPC) environments. In the past, many techniques have been developed in order to optimize the memory accesses for these datasets. Different loop transformations and domain decompositions are com- monly used for structured meshes. However, unstructured grids are more challenging. The memory accesses, based on the mesh connectivity, do not map well to the usual lin- ear memory model. This work presents a method to improve the memory performance which is suitable for HPC codes that operate on meshes. We develop a method to adjust the sequence in which the data are used inside the algorithm, by means of traversing and sorting the mesh. This sorted mesh can be transferred sequentially to the lower memory levels and allows for minimum data transfer requirements. The method also reduces the lower memory requirements dra- matically: up to 63% of the L1 cache misses are removed in a traditional cache system. We have obtained speedups of up to 2.58 on memory operations as measured in a general- purpose CPU. An improvement is also observed with se- quential access memories, where we have observed reduc- tions of up to 99% in the required low-level memory size.

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The Tiebout Hypothesis asserts that, when it is efficient to have multiple jurisdictions providing local public goods, then competition between jurisdictions for residents will lead to a near-optimal outcome. Research from cooperative game theory both provides a foundation for the hypothesis and extends the hypothesis to diverse situations where small groups of participants are effective.

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A bibliography of vocational guidance materials in the network library collections provided by the National Library Service for the Blind and Physically Handicapped, Library of Congress.

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This paper presents a composite multi-layer classifier system for predicting the subcellular localization of proteins based on their amino acid sequence. The work is an extension of our previous predictor PProwler v1.1 which is itself built upon the series of predictors SignalP and TargetP. In this study we outline experiments conducted to improve the classifier design. The major improvement came from using Support Vector machines as a "smart gate" sorting the outputs of several different targeting peptide detection networks. Our final model (PProwler v1.2) gives MCC values of 0.873 for non-plant and 0.849 for plant proteins. The model improves upon the accuracy of our previous subcellular localization predictor (PProwler v1.1) by 2% for plant data (which represents 7.5% improvement upon TargetP).