704 research outputs found

    Potential Function Describing the Folding of the 30 nm Fiber

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    Structure of psoralen-crosslinked ribosomal RNA from Drosophila melanogaster.

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    Supporting Newly Identified or Diagnosed Autistic Adults: An Initial Evaluation of an Autistic-Led Programme

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    Sixteen adults (diagnosed or self-identified as autistic) participated in one of two iterations of a ten-week autistic-led programme, aimed at helping autistic adults learn more about autism within a peer group context. Motivations for taking part in the programme included a desire for: (1) exploration of autism; (2) empowerment; and (3) the development of practical strategies and coping mechanisms. Interviews were conducted upon completion of the programme and again six months later. Using thematic analysis, three themes were identified: (1) appreciation of the autistic-led nature of the programme; (2) unity in diversity; and (3) developing a positive, practical outlook on autism. These promising initial results highlight the value of autistic-led peer support for those recently diagnosed/identified as autistic

    Application of support vector machines on the basis of the first Hungarian bankruptcy model

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    In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of classification accuracy and the area under the ROC curve. In using the SVM technique, in addition to conventional kernel functions, we also examine the possibilities of applying the ANOVA kernel function and take a detailed look at data preparation tasks recommended in using the SVM method (handling of outliers). The results of the models assembled suggest that a significant improvement of classification accuracy can be achieved on the database of the first Hungarian bankruptcy model when using the SVM method as opposed to neural networks

    Exploring Large Digital Library Collections Using a Map-Based Visualisation

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    In this paper we describe a novel approach for exploring large document collections using a map-based visualisation. We use hierarchically structured semantic concepts that are attached to the documents to create a visualisation of the semantic space that resembles a Google Map. The approach is novel in that we exploit the hierarchical structure to enable the approach to scale to large document collections and to create a map where the higher levels of spatial abstraction have semantic meaning. An informal evaluation is carried out to gather subjective feedback from users. Overall results are positive with users finding the visualisation enticing and easy to use

    Adaptação transcultural para o idioma português do método de triagem nutricional Determine your nutritional health (R) para idosos domiciliados / Cross-cultural adaptation to the Portuguese language of the Determine Your Nutritional Health (R) screening method for the elderly in assisted living accommodation

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    ABSTRACT IN PORTUGESE: O objetivo deste artigo é descrever o processo de adaptação transcultural do método de triagem nutricional, Determine Your Nutritional Health® (DNH), para utilização na população idosa brasileira. O DNH consiste de 10 questões com enunciados afirmativos, às quais são atribuídas pontuações específicas e cuja soma corresponde ao escore final, que classifica os indivíduos de acordo com a presença ou a ausência de risco nutricional. O processo de adaptação transcultural do método DNH envolveu as seguintes etapas: tradução; retrotradução; equivalência semântica; avaliação dos especialistas; pré-teste e versão final do método. Foram realizadas adaptações de palavras e expressões do método DNH, para a realidade brasileira. A versão final do método foi definida para o Brasil como “Verifique a condição nutricional do idoso”, apresentando as mesmas questões da versão original do DNH, contudo, em formato mais claro, por meio de perguntas, consideradas acessíveis e de fácil entendimento, segundo a avaliação de profissionais de saúde e de idosos. A versão brasileira do método de triagem nutricional, “Verifique a condição nutricional do idoso”, encontra-se traduzida e adaptada para uso em idosos brasileiros domiciliados. ABSTRACT IN ENGLISH: This article aims to describe the process of cross-cultural adaptation of the Determine Your Nutritional Health® (DNH) screening method for the elderly Brazilian population. The DNH consists of 10 questions with affirmative statements, to which specific scores are assigned and when added up correspond to the final score, which classifies individuals according to the presence or absence of nutritional risk. The process of cross-cultural adaptation of the DNH method involved the following stages: translation; back translation; semantic equivalence; evaluation by the experts; pre-test and final version of the method. Adjustments were made in words and expressions of the DNH method for the Brazilian reality. The final version of the method has been defined for Brazil as “Verify the nutritional conditions of the elderly,” presenting the same questions as in the original version of the DNH. It was in a clearer format, through questions, considered accessible and easy to understand, according to the assessment of health professionals and the elderly. The Brazilian version of the nutritional screening method, “Verify nutritional conditions of the elderly,” was translated and adapted, for use in Brazilian elderly in assisted living accommodation

    Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies

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    With the ongoing growth in number of digital articles in a wider set of languages and the expanding use of different languages, we need annotation methods that enable browsing multi-lingual corpora. Multilingual probabilistic topic models have recently emerged as a group of semi-supervised machine learning models that can be used to perform thematic explorations on collections of texts in multiple languages. However, these approaches require theme-aligned training data to create a language-independent space. This constraint limits the amount of scenarios that this technique can offer solutions to train and makes it difficult to scale up to situations where a huge collection of multi-lingual documents are required during the training phase. This paper presents an unsupervised document similarity algorithm that does not require parallel or comparable corpora, or any other type of translation resource. The algorithm annotates topics automatically created from documents in a single language with cross-lingual labels and describes documents by hierarchies of multi-lingual concepts from independently-trained models. Experiments performed on the English, Spanish and French editions of JCR-Acquis corpora reveal promising results on classifying and sorting documents by similar content.Comment: Accepted at the 10th International Conference on Knowledge Capture (K-CAP 2019

    A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries

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    Interactive query expansion can assist users during their query formulation process. We conducted a user study with over 4,000 unique visitors and four different design approaches for a search term suggestion service. As a basis for our evaluation we have implemented services which use three different vocabularies: (1) user search terms, (2) terms from a terminology service and (3) thesaurus terms. Additionally, we have created a new combined service which utilizes thesaurus term and terms from a domain-specific search term re-commender. Our results show that the thesaurus-based method clearly is used more often compared to the other single-method implementations. We interpret this as a strong indicator that term suggestion mechanisms should be domain-specific to be close to the user terminology. Our novel combined approach which interconnects a thesaurus service with additional statistical relations out-performed all other implementations. All our observations show that domain-specific vocabulary can support the user in finding alternative concepts and formulating queries.Comment: To be published in Proceedings of Theories and Practice in Digital Libraries (TPDL), 201
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