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  • Publication . Part of book or chapter of book . 2019
    Open Access English
    Authors: 
    Katarzyna Kiegiel; Agnieszka Miśkiewicz; Irena Herdzik-Koniecko; Dorota Gajda; Grażyna Zakrzewska-Kołtuniewicz;
    Publisher: IntechOpen
  • Open Access English
    Authors: 
    Cristina Ferreira; Evander Ruthieri Saturno da Silva;
    Publisher: Universidade do Estado de Santa Catarina

    Este artigo intenciona problematizar as imagens veiculadas nas revistas O Cruzeiro e Manchete no ano do Sesquicentenario da Independencia do Brasil. Neste evento comemorativo, a figura do monarca D. Pedro I, representante da “unificacao do pais”, fica evidenciada nos anais da historia patria, apos um acordo diplomatico luso-brasileiro e a chegada de parte do corpo do Imperador ao Brasil, com excecao do coracao, deixado por ele em testamento a cidade do Porto. A estrategia do regime militar brasileiro em conduzir D. Pedro I a virtude por meio da reelaboracao positiva de sua figura esta relacionada as suas facanhas militares realizadas no comando do exercito liberal em Portugal, a partir de 1828, quando luta contra o governo absolutista de seu irmao, D. Miguel. As representacoes imageticas do traslado ao Brasil de seus restos mortais, em abril de 1972, no governo do General Medici, demonstram a simbologia dos elementos de memoria evocados pela politica do Estado autoritario, sedenta por atos comemorativos e envolta em cerimoniais de cunho espetacular. A ampla divulgacao veiculada pelas revistas esta vinculada a uma clara intencao dos militares em apropriar-se de atos comemorativos para mitificar a figura de D. Pedro I no panteao dos herois nacionais, a partir da utilizacao de aspectos da historia patria e arsenais imageticos carregados de significados propulsores da memoria. Palavras-chave: Representacoes imageticas; D. Pedro I; Memoria; O Cruzeiro; Manchete.

  • Publication . Article . 2017
    Open Access English
    Authors: 
    Bento Cavadas;
    Country: Portugal

    Resumen basado en el de la publicación La investigación tiene como objetivo contribuir a la historia de la enseñanza del darwinismo en el Currículum portugués de 1859 a 1959. Para ello, se analiza la transposición didáctica del libro Sobre el origen de las especies y libros de texto de Ciencias Naturales de educación secundaria. Ello muestra que algunos estándares no abordaban el darwinismo (Estándares de 1856,1872, 1880, 1886, 1926 y 1929), mientras que otros solo prescribieron el estudio de algunos temas de Darwinismo (Normas de 1889 y 1905). Las normas de 1895 fueron las que abordaron más ideas darwinistas en el siglo XIX. En el siglo XX, el enfoque general del darwinismo estaba relacionado con el estudio de las ideas transformistas (Normas de 1919) o la evolución (Normas de 1936 y 1954). Sin embargo, incluso cuando las normas respectivas no hicieron esa prescripción, la principal parte de los libros de texto aborda los mecanismos de la evolución darwiniana: adaptación, variabilidad, crecimiento correlaciones, herencia, selección natural, competencia vital, aislamiento geográfico y selección sexual. ESP

  • Open Access English
    Authors: 
    Andrej Kotljarchuk;
    Publisher: Södertörns högskola, Samtidshistoriska institutet
    Country: Sweden

    AbstractThousands of Roma were killed in Ukraine by the Nazis and auxiliary police on the spot. There are more than 50,000 Roma in today’s Ukraine, represented by second and third generation decendants of the genocide survivors. The discussion on Roma identity cannot be isolated from the memory of the genocide, which makes the struggle over the past a reflexive landmark that mobilizes the Roma movement. About twenty Roma genocide memorials have been erected in Ukraine during last decade, and in 2016 the national memorial of the Roma genocide was opened in Babi Yar. However, scholars do not have a clear picture of memory narratives and memory practices of the Roma genocide in Ukraine. A comprehensive analysis of the contemporary situation is not possible without an examination of the history and memory of the Roma genocide before 1991.

  • Open Access English
    Authors: 
    Irena Spasic; Dominik Krzemiński; Padraig Corcoran; Alexander Balinsky;
    Publisher: JMIR Publications

    Background Clinical trials are an important step in introducing new interventions into clinical practice by generating data on their safety and efficacy. Clinical trials need to ensure that participants are similar so that the findings can be attributed to the interventions studied and not to some other factors. Therefore, each clinical trial defines eligibility criteria, which describe characteristics that must be shared by the participants. Unfortunately, the complexities of eligibility criteria may not allow them to be translated directly into readily executable database queries. Instead, they may require careful analysis of the narrative sections of medical records. Manual screening of medical records is time consuming, thus negatively affecting the timeliness of the recruitment process. Objective Track 1 of the 2018 National Natural Language Processing Clinical Challenge focused on the task of cohort selection for clinical trials, aiming to answer the following question: Can natural language processing be applied to narrative medical records to identify patients who meet eligibility criteria for clinical trials? The task required the participating systems to analyze longitudinal patient records to determine if the corresponding patients met the given eligibility criteria. We aimed to describe a system developed to address this task. Methods Our system consisted of 13 classifiers, one for each eligibility criterion. All classifiers used a bag-of-words document representation model. To prevent the loss of relevant contextual information associated with such representation, a pattern-matching approach was used to extract context-sensitive features. They were embedded back into the text as lexically distinguishable tokens, which were consequently featured in the bag-of-words representation. Supervised machine learning was chosen wherever a sufficient number of both positive and negative instances was available to learn from. A rule-based approach focusing on a small set of relevant features was chosen for the remaining criteria. Results The system was evaluated using microaveraged F measure. Overall, 4 machine algorithms, including support vector machine, logistic regression, naïve Bayesian classifier, and gradient tree boosting (GTB), were evaluated on the training data using 10–fold cross-validation. Overall, GTB demonstrated the most consistent performance. Its performance peaked when oversampling was used to balance the training data. The final evaluation was performed on previously unseen test data. On average, the F measure of 89.04% was comparable to 3 of the top ranked performances in the shared task (91.11%, 90.28%, and 90.21%). With an F measure of 88.14%, we significantly outperformed these systems (81.03%, 78.50%, and 70.81%) in identifying patients with advanced coronary artery disease. Conclusions The holdout evaluation provides evidence that our system was able to identify eligible patients for the given clinical trial with high accuracy. Our approach demonstrates how rule-based knowledge infusion can improve the performance of machine learning algorithms even when trained on a relatively small dataset.

  • English
    Authors: 
    Mottershead, G;
    Publisher: Archaeology Data Service

    Salford Archaeology was commissioned by Rowlinson Construction Ltd to undertake an archaeological evaluation on land at Pomona Wharf, Trafford, Greater Manchester (centred on SJ 821 970) as part of a redevelopment scheme. This report consists of the results from the five evaluation trenches excavated during the course of this work.

  • Publication . Article . Other literature type . 2008
    Open Access English
    Authors: 
    Gautam Kumar; L. Vaidyanathan; W. Bruce Fye;
    Publisher: Wiley Periodicals, Inc.
  • English
    Authors: 
    Régent-Susini, Anne;
    Publisher: HAL CCSD
    Country: France
  • English
    Authors: 
    Greenlane Archaeology Ltd;
    Publisher: Archaeology Data Service

    A4, full colour, printed both sides, comb-bound

  • English
    Authors: 
    Archaeology, Albion;
    Publisher: Archaeology Data Service