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OALib Journal期刊

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Programa de interven??o nas interac??es pais-filhos “Desenvolver a Sorrir” - Estudo exploratório
Zuzarte,M.; Calheiros,M.;
Análise Psicológica , 2010,
Abstract: this article describes a program for intervention in parent-child interactions, in playful learning contexts, aimed at “at-risk” families, with children up to age 3. an exploratory study is also presented, wherein the efficiency of the program is evaluated. the program, whose activities aim to develop parental competencies, through modeling and experimentation of positive interactions in seven sessions, was applied to 19 parent (age m=28.5; s.d.=9.48) child (age m=21 months; s.d.=0.99) dyads, in the home environment. the pre-post test design evaluated the interactions of 19 parent-child dyads, using the ncats teaching scale and home. significant differences were found in all the areas of the child’s environment (daily stimulation, play material, physical and temporal environment, emotional and verbal responsiveness of the parents) and in the quality of the dyad’s interaction (sensitivity to signs, response to distress, promoting development, clarity of child’s signs and responsiveness to adult). even though this is an exploratory study, the parent adherence and satisfaction, as well as the positive effects of the program on the dyads interactions suggest the importance of continuing studies to validate the program, in order to generalize it’s application.
Processing Analytical Workloads Incrementally
Priyank Gupta,Nick Koudas,Europa Shang,Ryan Johnson,Calisto Zuzarte
Computer Science , 2015,
Abstract: Analysis of large data collections using popular machine learning and statistical algorithms has been a topic of increasing research interest. A typical analysis workload consists of applying an algorithm to build a model on a data collection and subsequently refining it based on the results. In this paper we introduce model materialization and incremental model reuse as first class citizens in the execution of analysis workloads. We materialize built models instead of discarding them in a way that can be reused in subsequent computations. At the same time we consider manipulating an existing model (adding or deleting data from it) in order to build a new one. We discuss our approach in the context of popular machine learning models. We specify the details of how to incrementally maintain models as well as outline the suitable optimizations required to optimally use models and their incremental adjustments to build new ones. We detail our techniques for linear regression, naive bayes and logistic regression and present the suitable algorithms and optimizations to handle these models in our framework. We present the results of a detailed performance evaluation, using real and synthetic data sets. Our experiments analyze the various trade offs inherent in our approach and demonstrate vast performance benefits.
OptImatch: Semantic Web System with Knowledge Base for Query Performance Problem Determination
Guilherme Damasio,Piotr Mierzejewski,Jaroslaw Szlichta,Calisto Zuzarte
Computer Science , 2015,
Abstract: Database query performance problem determination is often performed by analyzing query execution plans (QEPs) in addition to other performance data. As the query workloads that organizations run, have become larger and more complex, analyzing QEPs manually even by experts has become a very time consuming. Most performance diagnostic tools help with identifying problematic queries and most query tuning tools address a limited number of known problems and recommendations. We present the OptImatch system that offers a way to (a) look for varied user defined problem patterns in QEPs and (b) automatically get recommendations from an expert provided and user customizable knowledge base. Existing approaches do not provide the ability to perform workload analysis with flexible user defined patterns, as they lack the ability to impose a proper structure on QEPs. We introduce a novel semantic web system that allows a relatively naive user to search for arbitrary patterns and to get recommendations stored in a knowledge base either by experts or added by the user tailored to the environment in which they operate. Our methodology includes transforming a QEP into an RDF graph and transforming a GUI based user-defined pattern into a SPARQL query through handlers. The SPARQL query is matched against the abstracted RDF graph, and any matched portion of the abstracted RDF graph is relayed back to the user. With the knowledge base, the OptImatch system automatically scans and matches interesting stored patterns in a statistical way as appropriate and returns the corresponding recommendations. Although the knowledge base patterns and solution recommendations are not in the context of the user supplied QEPs, the context is adapted automatically through the handler tagging interface.
Rubella immunization strategies in the state of S o Paulo, Brazil
Rymkiewicz Erika,Zuzarte Fausto Colla Cortes?o,Campos Sandra de Oliveira,Pinto Maria Isabel de Moraes
Bulletin of the World Health Organization , 2002,
Abstract:
A Two-Dimensional Pooling Strategy for Rare Variant Detection on Next-Generation Sequencing Platforms
Philip C. Zuzarte, Robert E. Denroche, Gordon Fehringer, Hagit Katzov-Eckert, Rayjean J. Hung, John D. McPherson
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0093455
Abstract: We describe a method for pooling and sequencing DNA from a large number of individual samples while preserving information regarding sample identity. DNA from 576 individuals was arranged into four 12 row by 12 column matrices and then pooled by row and by column resulting in 96 total pools with 12 individuals in each pool. Pooling of DNA was carried out in a two-dimensional fashion, such that DNA from each individual is present in exactly one row pool and exactly one column pool. By considering the variants observed in the rows and columns of a matrix we are able to trace rare variants back to the specific individuals that carry them. The pooled DNA samples were enriched over a 250 kb region previously identified by GWAS to significantly predispose individuals to lung cancer. All 96 pools (12 row and 12 column pools from 4 matrices) were barcoded and sequenced on an Illumina HiSeq 2000 instrument with an average depth of coverage greater than 4,000×. Verification based on Ion PGM sequencing confirmed the presence of 91.4% of confidently classified SNVs assayed. In this way, each individual sample is sequenced in multiple pools providing more accurate variant calling than a single pool or a multiplexed approach. This provides a powerful method for rare variant detection in regions of interest at a reduced cost to the researcher.
A New and Reliable Guide for Studies of Neuronal Loss Based on Focal Lesions and Combinations of In Vivo and In Vitro Approaches
Vera Paschon, Guilherme Shigueto Vilar Higa, Lais Takata Walter, érica de Sousa, Fausto Colla Cortes?o Zuzarte, Vivian Roca Schwendler Weber, Rodrigo Ribeiro Resende, Alexandre Hiroaki Kihara
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0060486
Abstract: In this study, we describe a simple and reliable method to study neuroprotective effects in living and organized neural tissue. This method, which was based on retinal explants for in vivo focal lesions, was conceived as a collection of modular procedures, which can be customized for particular demands. With this model, it is possible to combine immunohistochemistry with image data analysis to track the two- or three-dimensional redistribution of proteins as a time/space function of primary cell loss. At the same time, it is possible to finely control the exposure of the tissue to specific drugs and molecules. In order to illustrate the use of the proposed method, we tested the effects of two different nanotube compounds on retinal explant viability. Transcriptome analyses can be separately performed in the lesion focus and penumbra with laser capture microdissection followed by polymerase chain reaction analyses. In addition, other common experimental drawbacks, such as high individual variance, are eliminated. With intraocular injections, treatments can be verified in vivo, with one eye serving as the experimental tissue and the other serving as the control tissue. In summary, we describe a flexible and easy method, which can be useful in combination with a broad variety of recently developed neuroprotective strategies, to study neurodegeneration.
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