199 research outputs found
Topdog/Underdog
No full textWinner of the 2002 Pulitzer Prize for Drama A darkly comic fable of brotherly love and family identity is Suzan-Lori Parks latest riff on the way we are defined by history. The play tells the story of Lincoln and Booth, two brothers whose names were given to them as a joke, foretelling a lifetime of sibling rivalry and resentment. Haunted by the past, the brothers are forced to confront the shattering reality of their future. Suzan-Lori Parks is the author of numerous plays, including In the Blood and Venus. She is currently head of the A.S.K. Theater Projects Writing for Performance Program at the California Institute of the Arts in Valencia. Abstract from eBook Central
Carter, Reagan et l'Amérique centrale
No full textCarter, Reagan and Central America, by Suzan Kaufman Purcell
In this article the author attempts to show that, overall, the differences between policy during the last year of Jimmy Carter's Presidency and the present Reagan administration are minimal. Jimmy Carter reneged on his initial generous inclinations and gave increasing support to repression in El Salvador, whilst Reagan quickly stopped short of opting for all-out support of the military in El Salvador. In both cases, one must take account of divisions within the American electorate which influence Washington's policy decisions in Central America. They have created contradictions between the intention and the reality of the American polity.Carter, Reagan et l'Amérique centrale, par Suzan Kaufman Purcell
Dans son article, l'auteur montre que les différences sont, somme toute, assez minimes entre la politique de fait de la dernière année de la présidence de Jimmy Carter et celle de la présidence de Ronald Reagan. La première a contredit ses velléités généreuses par un appui de plus en plus marqué à une solution répressive au Salvador, tandis que la seconde a dû vite se défendre d'opter seulement pour le soutien aux militaires salvadoriens. C'est que, dans les deux cas, la nécessité de ne pas ignorer de front les clivages de l'électorat américain infléchit la politique de Washington en Amérique centrale, engendrant une contradiction entre des intentions déclarées et la réalité de l'intervention américaine.Kaufman Purcell Suzan. Carter, Reagan et l'Amérique centrale. In: Politique étrangère, n°2 - 1982 - 47ᵉannée. pp. 309-317
A Narrative Literature Review of the Psychological Hindrances Affecting Return to Sport After Injuries
No full textAfter different sport injuries, athletes may express different psychological emotions that lead to stress. These emotions include anger, fear, frustration, anxiety and depression which may lead to lack of confidence and/or fear of sustaining a new injury. This thesis, in the form of a narrative review, aims to focus on the psychological hindrances that can be present when the athlete is planning on returning to the sport after injury to an anterior cruciate ligament (ACL) or concussion. The review will summarize the shared common and the different psychological hindrances that may be found in athletes after an ACL injury or concussion. A generation of a list for such hindrances will educate others about the psychological barriers which may affect the injured athletes from returning to sport
Dramaturgia e poéticas de revisão: tradução comentada de topdog/underdog de Suzan-Lori Parks
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2016.Suzan-Lori Parks é uma das dramaturgas norte-americanas mais reconhecidas da atual geração. Nesse trabalho, além de analisarmos a trajetória da autora e sua poética e traçarmos relações entre seus textos, buscamos refletir sobre o fenômeno da tradução como uma forma de arte e o tradutor literário como uma espécie de artista. Com base na teoria de autores como Antoine Berman (2013) ? ?tradução e a letra? e Pavis (2008), ?o tradutor como dramaturgo?, apresentamos uma análise de nossa própria tradução da peça Topdog/Underdog ? a obra de maior repercussão de Parks, com a qual a autora recebeu o Prêmio Pulitzer na categoria Drama em 2002. Propomos ainda o diálogo com outras traduções da peça, suas encenações e elementos paratextuais ou intertextuais como cartazes, capas de publicações, jogos de azar ou artefatos culturais tanto da cultura-fonte quanto da cultura-alvo que serviram de mediadores para nosso processo de tradução.Abstract : Suzan-Lori Parks is one of the U.S. most recognized playwrights of the current generation. In this work, we analyze the trajectory of the author and her poetic, trace relationships between their texts and reflect on the phenomenon of translation as a form of art and on literary translator as a kind of artist. Based on the theory of authors like Antoine Berman (2013) - "translation and the letter" e Pavis (2008), "the translator as playwright" this work also presents an analysis of our own translation of Parks?s play Topdog / Underdog - the author?s work of greater impact, with which she won the 2002 Pulitzer Prize in Drama. We also propose dialogue with other translations of the play, its performances and paratextual or intertextual elements such as posters, covers of publications, gambling or cultural artifacts from both source culture and target culture that serve as mediators for our translation process
Severity grading and early detection of alzheimer’s disease through transfer learning
No full textAlzheimer’s disease (AD) is a neurological disorder that predominantly affectsindividuals aged 65 and older. It is one of the primary causes of dementia, and it contributes significantly and progressively to impairing and destroying brain cells. Recently, efforts to mitigate the impact of AD have focused with particular emphasis on early detection through computer aided diagnosis (CAD) tools. This study aims to develop deep learning models for the early detection and classification of AD cases into four categories: non-demented, moderate-demented, mild-demented, and very mild demented. Using Transfer Learning technique (TL), several models were implemented including AlexNet, ResNet-50, GoogleNet (InceptionV3), and SqueezeNet, by leveraging magnetic resonance images (MRI) and applying image augmentation techniques. A total of 12,800 images across the four classifications that were preprocessed to ensure balance and meet the specific requirements of each model. The dataset was split into 80 for training and 20 for testing. AlexNet achieved an average accuracy of 98.05, GoogleNet (InceptionV3) reached 97.80, ResNet-50 attained 91.11, and SqueezeNet 86.37. The use of transfer learning method addresses data limitations, allowing effective model training without the need for building from scratch, thereby enhancing the potential for early and accurate diagnosis of Alzheimer’s disease [1]
L’image scientifique et ses recontextualisations : du Notionaire de Garsault (1761) à l’Encyclopédie des jeunes gens (1807) de Moustalon
No full textThe historical study of book illustration points up the role of textual ideologies in determining how images are used and presented in educational publications and in the educational process itself. Comparative analysis of the 1761 illustrated dictionary Le Notionaire and its 1807 reedition, L’Encyclopédie des jeunes gens, shows that, despite the reuse of selected copperplate engravings and imitation of page layout, the relationship between text and image is recast by the XIXth century educator-author Moustalon, whose rewriting and amplification of his source can be seen as representative of the renewed importance given to rhetoric and rhetorical training in the school curricula of post-revolutionary France.L’étude historique des pratiques de mise en livre de l’image permet de dégager l’influence des idéologies du texte et du document sur la pédagogie par l’image. Une analyse comparative du dictionnaire illustré Le Notionaire (1761) et de sa réédition, l’Encyclopédie des jeunes gens (1807) montre que malgré le réemploi d’un choix de planches scientifiques et l’imitation de certains éléments de mise en page, les rapports entre image et texte sont transformés dans une réecriture «oratoire » de l’ouvrage. Ces modifications témoignent de l’importance renouvelée de la rhétorique scolaire au XIXe siècle.Kovacs Suzan. L’image scientifique et ses recontextualisations : du Notionaire de Garsault (1761) à l’Encyclopédie des jeunes gens (1807) de Moustalon. In: Spirale. Revue de recherches en éducation, n°40, 2007. Images pour apprendre, sous la direction de Annette Béguin-Verbrugge. pp. 9-25
Catharina Felicia van Rees, Dutch author and composer, 1831-1915
No full textContains fulltext :
85978.pdf (Publisher’s version ) (Open Access
Applying machine learning (the k-means algorithm) to clustering and analyzing synovial fluid contents among different ages and genders in healthy and osteoarthritis patients
No full textMachine learning, a subset of AI, has made a significant impact on the medical field by improving the speed and accuracy of test results. Among the many discrete ML tools, k-means is a type of data clustering that uses unsupervised ML to divide unclassified data into different groups with similar variances. This dissertation applied the k-means clustering algorithm to analyze synovial fluid compositions of healthy people and osteoarthritis (OA) patients, focusing on four components: hyaluronic acid (HA), chondroitin sulfate (C6S, C4S), and the C6S ratio. The main objective was to identify distinct patterns and clusters within these datasets based on age and gender. Data was extracted from two previously published research studies. The first dataset comprised 187 healthy participants, with ages ranging from 10 to 90 years. The second dataset consisted of 133 OA participants with ages ranging from 55 to 90 years. Applying ML algorithms, specifically k-means clustering, the MATLAB program was used for data analysis. The findings showed the k-means clustering successfully highlighted age- and gender-related synovial fluid concentration patterns. In addition, for both healthy and OA groups, younger people had higher levels of synovial fluid components, which decreased with age. In healthy people, HA levels were high among younger people but decreased with age. In the OA group, HA levels increased in older patients. These findings confirmed the potential of synovial fluid concentration in diagnosing joint health. These findings also asserted the utility of ML techniques, such as k-means clustering, in medical data analysis
Novel Piezoelectric Biosensor Based on SARS-CoV-2 (COVID-19) Spike Antibody for Coronavirus (Covid-19) Detection
No full textAt the end of December 2019, the novel coronavirus SARS‐CoV‐2 appeared in Wuhan, China. The World Health Organization released a global health emergency declaration based on growing case notification rates in several locations worldwide. Therefore, sensitive, specific, rapid, and deliverable diagnostic monitoring is vital for making proper decisions on treating and isolating infected patients, which will help prevent the spread of infectious diseases. The surface Acoustic Wave (SAW) biosensor provides a unique, highly sensitive electrical approach to biomolecule detection and cell growth. For this study, a novel SAW sensor is developed, and the mass sensitivities are tested to detect the SARS‐CoV‐2 by attaching the SARS-CoV-2 spike antibody immobilized on the sensor surface. First, a two-dimensional (2D) and a three-dimensional (3D) finite element model were developed based on a realistic device to obtain a complete characterization of the senor. Then, the AlN/Al2O3 fabricated sensor was tested and ultrasonically rinsed in preparation for silanization. After depositions of (APTMS) on the sensor by the Chemical Vapor Deposition method, the antibodies were immobilized on surfaces with the aid of a crosslinker (EDC) and (Sulfo-NHS). Finally, the SARS-CoV-2 was introduced to the sensor, and the attachment of the immobilized antibody was tested and evaluated. The sensor was tested and characterized by Raman spectroscopy and the vector Network Analyzer. Finally, our device was able to detect the virus in real-time time (within two to three minutes), confirming its high sensitivity and selectivity with regard to the SARS-CoV-2 virus
Searching, Learning, and Subtopic Ordering: A Simulation-Based Analysis
No full textComplex search tasks—such as those from the Search as Learning (SAL) domain—often result in users developing an information need composed of several aspects. However, current models of searcher behaviour assume that individuals have an atomic need, regardless of the task. While these models generally work well for simpler informational needs, we argue that searcher models need to be developed further to allow for the decomposition of a complex search task into multiple aspects. As no searcher model yet exists that considers both aspects and the SAL domain, we propose, by augmenting the Complex Searcher Model (CSM), the Subtopic Aware Complex Searcher Model (SACSM)—modelling aspects as subtopics to the user’s need. We then instantiate several agents (i.e., simulated users), with different subtopic selection strategies, which can be considered as different prototypical learning strategies (e.g., should I deeply examine one subtopic at a time, or shallowly cover several subtopics?). Finally, we report on the first large-scale simulated analysis of user behaviours in the SAL domain. Results demonstrate that the SACSM, under certain conditions, simulates user behaviours accurately.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information System
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