994 resultados para Web mapping


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The InterPro database (http://www.ebi.ac.uk/interpro/) is a freely available resource that can be used to classify sequences into protein families and to predict the presence of important domains and sites. Central to the InterPro database are predictive models, known as signatures, from a range of different protein family databases that have different biological focuses and use different methodological approaches to classify protein families and domains. InterPro integrates these signatures, capitalizing on the respective strengths of the individual databases, to produce a powerful protein classification resource. Here, we report on the status of InterPro as it enters its 15th year of operation, and give an overview of new developments with the database and its associated Web interfaces and software. In particular, the new domain architecture search tool is described and the process of mapping of Gene Ontology terms to InterPro is outlined. We also discuss the challenges faced by the resource given the explosive growth in sequence data in recent years. InterPro (version 48.0) contains 36 766 member database signatures integrated into 26 238 InterPro entries, an increase of over 3993 entries (5081 signatures), since 2012.

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OBJECTIVETo identify the association between the use of web simulation electrocardiography and the learning approaches, strategies and styles of nursing degree students.METHODA descriptive and correlational design with a one-group pretest-posttest measurement was used. The study sample included 246 students in a Basic and Advanced Cardiac Life Support nursing class of nursing degree.RESULTSNo significant differences between genders were found in any dimension of learning styles and approaches to learning. After the introduction of web simulation electrocardiography, significant differences were found in some item scores of learning styles: theorist (p < 0.040), pragmatic (p < 0.010) and approaches to learning.CONCLUSIONThe use of a web electrocardiogram (ECG) simulation is associated with the development of active and reflexive learning styles, improving motivation and a deep approach in nursing students.

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The large spatial inhomogeneity in transmit B(1) field (B(1)(+)) observable in human MR images at high static magnetic fields (B(0)) severely impairs image quality. To overcome this effect in brain T(1)-weighted images, the MPRAGE sequence was modified to generate two different images at different inversion times, MP2RAGE. By combining the two images in a novel fashion, it was possible to create T(1)-weighted images where the result image was free of proton density contrast, T(2) contrast, reception bias field, and, to first order, transmit field inhomogeneity. MP2RAGE sequence parameters were optimized using Bloch equations to maximize contrast-to-noise ratio per unit of time between brain tissues and minimize the effect of B(1)(+) variations through space. Images of high anatomical quality and excellent brain tissue differentiation suitable for applications such as segmentation and voxel-based morphometry were obtained at 3 and 7 T. From such T(1)-weighted images, acquired within 12 min, high-resolution 3D T(1) maps were routinely calculated at 7 T with sub-millimeter voxel resolution (0.65-0.85 mm isotropic). T(1) maps were validated in phantom experiments. In humans, the T(1) values obtained at 7 T were 1.15+/-0.06 s for white matter (WM) and 1.92+/-0.16 s for grey matter (GM), in good agreement with literature values obtained at lower spatial resolution. At 3 T, where whole-brain acquisitions with 1 mm isotropic voxels were acquired in 8 min, the T(1) values obtained (0.81+/-0.03 s for WM and 1.35+/-0.05 for GM) were once again found to be in very good agreement with values in the literature.

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El objetivo de este proyecto es implementar un sitio Web i un programa gestor de datos para el criadero/residencia canino De La Serranía (Madrid). Gracias al desarrollo de esta aplicación y del sitio Web se conseguirá que el cliente suprima el uso de todo el papel utilizado anteriormente para guardar la información relativa a clientes, animales y entradas a la residencia, podrá controlar la ocupación de la residencia y generar automáticamente las facturas, crear automáticamente árboles genealógicos de todos los ejemplares registrados, mejorar el rendimiento del criadero gracias a la opción que controla los datos de cría de cada animal: fecha de monta, fecha de parto, resultados de cada parto, etc. y controlar los gastos y ganancias de la empresa

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We have mapped the genes coding for two major structural polypeptides of the vaccinia virus core by hybrid selection and transcriptional mapping. First, RNA was selected by hybridization to restriction fragments of the vaccinia virus genome, translated in vitro and the products were immunoprecipitated with antibodies against the two polypeptides. This approach allowed us to map the genes to the left hand end of the largest Hind III restriction fragment of 50 kilobase pairs. Second, transcriptional mapping of this region of the genome revealed the presence of the two expected RNAs. Both RNAs are transcribed from the leftward reading strand and the 5'-ends of the genes are separated by about 7.5 kilobase pairs of DNA. Thus, two genes encoding structural polypeptides with a similar location in the vaccinia virus particle are clustered at approximately 105 kilobase pairs from the left hand end of the 180 kilobase pair vaccinia virus genome.

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Este relatório descreve o estágio realizado pela autora, no âmbito da licenciatura em Tecnologias de Informação e Comunicação (TIC), da Universidade Pública de Cabo Verde (Uni-CV), realizado na empresa Tera C&D, que decorreu entre 2 Março a 31 Julho de 2009. O referido é o fruto de um projecto, que consistiu no desenvolvimento de um Website dinâmico, com o suporte de uma Base de Dados. Durante o período de estágio, a autora integrada numa equipa composta por quatro elementos, que actuam na área de Gestão de Sistemas Informáticos, Redes de Computadores, Desenvolvimento Web e Multimédia e Programação. Este trabalho foi desenvolvido sob o desígnio de trabalho colaborativo, em que a autora teve o apoio de várias pessoas. No decorrer deste período do estágio, em que foi desenvolvido o projecto, foram executadas um conjunto de actividades desde a análise dos documentos até a criação do site efectivamente. Paralelamente a essas actividades, decorreu uma formação, cujo grande objectivo foi orientar os formandos na execução das actividades e adquirir conhecimentos sobre Novas Tecnologias de Desenvolvimento Web. Considerando os objectivos referidos, o relatório ficará composto por uma parte introdutória, na qual se fará o enquadramento e também serão especificadas, as motivações associadas à escolha do tema. Seguidamente far-se-á a caracterização da empresa acolhedora, focando os aspectos tais como: a actividade principal da empresa, os objectivos os princípios e valores que conduzema mesma. Após fazer a caracterização da empresa acolhedora, far-se-á uma descrição sucinta das actividades realizadas no estágio. O desenvolvimento continuará com o relato de sobre a preparação do ambiente de desenvolvimento, para demonstrar detalhadamente a preparação deste ambiente, antes do inicio do projecto.Tecnologias e Ferramentas utilizadas será o ponto seguinte, no qual vão ser abordadas as diversas tecnologias e ferramentas utilizadas no desenvolvimento do referido projecto. O desenvolvimento segue-se com o tópico “Processo de Desenvolvimento Website”. Neste ponto será descrito pormenorizadamente as diferentes fases do processo de desenvolvimento de um Website, descrevendo com detalhes, o que significa cada fase e as actividades desenvolvidas em cada uma delas. Após descrever o Processo de Desenvolvimento, falar-se-á do projecto desenvolvido propriamente dito, expondo imagens que ilustram cada fase ou actividade realizada, caso for possível. Na parte conclusiva, falar-se-á da importância do desenvolvimento deste trabalho para a autora, do sentimento, das habilidades e competências adquiridas ou aperfeiçoadas.

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Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of large datasets from environmental monitoring networks. Several typical problems of the environmental sciences and their solutions provided by kernel-based methods are considered: classification of categorical data (soil type classification), mapping of environmental and pollution continuous information (pollution of soil by radionuclides), mapping with auxiliary information (climatic data from Aral Sea region). The promising developments, such as automatic emergency hot spot detection and monitoring network optimization are discussed as well.

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Information used/presented during the Improving Transition Outcomes Resource Mapping Workshops

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Resource Mapping tool from the Improving Transition Outcomes Resource Mapping Workshops

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Resource Mapping resources shared during the Improving Transition Outcomes Resource Mapping Workshops

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Business survey tool from the Improving Transition Outcomes Resource Mapping Workshops

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Content outline used during the Improving Transition Outcomes Resource Mapping Workshops

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Activities used during the Improving Transition Outcomes Resource Mapping Workshops