A-7 Statistical Report On FIP Applications And Cases Discontinued, March 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued

A-1 Monthly Public Assistance Statistical Report Family Investment Program, April 2005

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, May 2005

Monthly Public Assistance Statistical Report Family Investment Program

A-7 Statistical Report On FIP Applications And Cases Discontinued April 2005

Statistical Report On FIP Applications And Cases Discontinued

A-7 Statistical Report On FIP Applications And Cases Discontinued, May 2005

Statistical Report On FIP Applications And Cases Discontinued

Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations

Background: Recent advances on high-throughput technologies have produced a vast amount of protein sequences, while the number of high-resolution structures has seen a limited increase. This has impelled the production of many strategies to built protein structures from its sequence, generating a considerable amount of alternative models. The selection of the closest model to the native conformation has thus become crucial for structure prediction. Several methods have been developed to score protein models by energies, knowledge-based potentials and combination of both.Results: Here, we present and demonstrate a theory to split the knowledge-based potentials in scoring terms biologically meaningful and to combine them in new scores to predict near-native structures. Our strategy allows circumventing the problem of defining the reference state. In this approach we give the proof for a simple and linear application that can be further improved by optimizing the combination of Zscores. Using the simplest composite score () we obtained predictions similar to state-of-the-art methods. Besides, our approach has the advantage of identifying the most relevant terms involved in the stability of the protein structure. Finally, we also use the composite Zscores to assess the conformation of models and to detect local errors.Conclusion: We have introduced a method to split knowledge-based potentials and to solve the problem of defining a reference state. The new scores have detected near-native structures as accurately as state-of-art methods and have been successful to identify wrongly modeled regions of many near-native conformations.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, June 2005

A-1 Monthly Public Assistance Statistical Report Family Investment Program, June 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued, June 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued, June 2005

A-1 Monthly Public Assistance Statistical Report Family Investment Program, July 2005

A-1 Monthly Public Assistance Statistical Report Family Investment Program, July 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued, July 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued, July 2005

Construção e avaliação de software educacional sobre cateterismo urinário de demora

Tratando-se de uma era na qual a informação constitui abertura concernente aos benefícios que dela advêm, o campo da informática em enfermagem ganha seu momento. Este estudo teve como objetivo construir um software educativo para o ensino-aprendizado da técnica de cateterismo urinário de demora e comparar a apreensão do conhecimento sobre a técnica de cateterismo urinário de demora antes e após a aplicação de um software educativo. Pesquisa descritiva de abordagem quantitativa tendo como fundamentação pedagógica na construção do software as teorias de Piaget e Vygotsky. Posteriormente, avaliou-se o processo ensino-aprendizagem através de um questionário composto por 10 questões de múltipla escolha, anterior à utilização do software, e o mesmo teste após o manuseio do software, resolvidos por 60 alunos participantes. Os dados obtidos demonstraram significativa contribuição do software após a aplicação do mesmo, sendo bastante útil no processo ensino-aprendizagem.

Free-and open source software for a course on network management: authoring and enactment of scripts based on collaborative learning strategies

This paper describes a Computer-Supported Collaborative Learning (CSCL) case study in engineering education carried out within the context of a network management course. The case study shows that the use of two computing tools developed by the authors and based on Free- and Open-Source Software (FOSS) provide significant educational benefits over traditional engineering pedagogical approaches in terms of both concepts and engineering competencies acquisition. First, the Collage authoring tool guides and supports the course teacher in the process of authoring computer-interpretable representations (using the IMS Learning Design standard notation) of effective collaborative pedagogical designs. Besides, the Gridcole system supports the enactment of that design by guiding the students throughout the prescribed sequence of learning activities. The paper introduces the goals and context of the case study, elaborates onhow Collage and Gridcole were employed, describes the applied evaluation methodology, anddiscusses the most significant findings derived from the case study.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, August 2005

A-1 Monthly Public Assistance Statistical Report Family Investment Program, August 2005

Bit loading for MIMO with statistical channel information at the transmitter and ZF receivers

For single-user MIMO communication with uncoded and coded QAM signals, we propose bit and power loading schemes that rely only on channel distribution information at the transmitter. To that end, we develop the relationship between the average bit error probability at the output of a ZF linear receiver and the bit rates and powers allocated at the transmitter. This relationship, and the fact that a ZF receiver decouples the MIMO parallel channels, allow leveraging bit loading algorithms already existing in the literature. We solve dual bit rate maximization and power minimization problems and present performance resultsthat illustrate the gains of the proposed scheme with respect toa non-optimized transmission.

A new hybrid summarizer based on vector Space model, statistical physics and linguistics

In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results.