2,782 research outputs found

    Principles of structural safety studies

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    This chapter addresses principles of advanced structural safety studies in association with various types of extreme and accidental events. The structural consequences of extreme conditions and accidents are inevitably volatile, uncertain, complex, and ambiguous (VUCA). Methods to model random parameters affecting such extreme conditions and accidents are presented. The importance of limit states- and risk-based approaches is emphasized to manage VUCA environments. Future trends toward advanced structural safety studies are addressed

    Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture

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    The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable opportunities and insights for customers and businesses can be gained. We propose a neural network based system to address the task of Aspect-Based Sentiment Analysis to compete in Task 2 of the ESWC-2016 Challenge on Semantic Sentiment Analysis. Our proposed architecture divides the task in two subtasks: aspect term extraction and aspect-specific sentiment extraction. This approach is flexible in that it allows to address each subtask independently. As a first step, a recurrent neural network is used to extract aspects from a text by framing the problem as a sequence labeling task. In a second step, a recurrent network processes each extracted aspect with respect to its context and predicts a sentiment label. The system uses pretrained semantic word embedding features which we experimentally enhance with semantic knowledge extracted from WordNet. Further features extracted from SenticNet prove to be beneficial for the extraction of sentiment labels. As the best performing system in its category, our proposed system proves to be an effective approach for the Aspect-Based Sentiment Analysis

    Deprivation is associated with anxiety and stress. A population-based longitudinal household survey among Chinese adults in Hong Kong

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    BACKGROUND: Mental illness is a major disease burden in the world and disproportionately affects the socially disadvantaged, but studies on the longitudinal association of poverty with anxiety and stress are rare, especially in Asia. Using data from Hong Kong, we aimed to (1) assess the cross-sectional association of poverty with anxiety and stress at baseline, and (2) to examine whether baseline poverty and change in poverty status over time are associated with a subsequent change in anxiety and stress. METHODS: Data were obtained from two waves of a territory-wide longitudinal survey in Hong Kong, with sample sizes of n=1970 and n=1224 for baseline and follow-up, respectively. Poverty was measured with a Deprivation Index and income-poverty. Anxiety and stress symptoms were assessed using Chinese Depression, Anxiety and Stress Scale-21 Items. We conducted cross-sectional and longitudinal analyses on the association of poverty with anxiety and stress. OUTCOMES: Deprivation, but not income-poverty, was significantly associated with both outcomes at baseline. Increased deprivation over time was associated with greater score and increased risk of anxiety and stress. Persistent deprivation over time was associated with greater anxiety and stress, and increased risk of incident anxiety. INTERPRETATION: Deprivation could have significant independent effects on anxiety and stress, even after adjusting for the effects of income-poverty. Greater attention should be paid to deprivation in policymaking to tackle the inequalities of mental health problems, especially since stress and anxiety are precursors to more severe forms of mental illness and other comorbidities

    MyAirCoach: the use of home-monitoring and mHealth systems to predict deterioration in asthma control and the occurrence of asthma exacerbations; study protocol of an observational study.

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    INTRODUCTION: Asthma is a variable lung condition whereby patients experience periods of controlled and uncontrolled asthma symptoms. Patients who experience prolonged periods of uncontrolled asthma have a higher incidence of exacerbations and increased morbidity and mortality rates. The ability to determine and to predict levels of asthma control and the occurrence of exacerbations is crucial in asthma management. Therefore, we aimed to determine to what extent physiological, behavioural and environmental data, obtained by mobile healthcare (mHealth) and home-monitoring sensors, as well as patient characteristics, can be used to predict episodes of uncontrolled asthma and the onset of asthma exacerbations. METHODS AND ANALYSIS: In an 1-year observational study, patients will be provided with mHealth and home-monitoring systems to record daily measurements for the first-month (phase I) and weekly measurements during a follow-up period of 11 months (phase II). Our study population consists of 150 patients, aged ≥18 years, with a clinician's diagnosis of asthma, currently on controller medication, with uncontrolled asthma and/or minimally one exacerbation in the past 12 months. They will be enrolled over three participating centres, including Leiden, London and Manchester. Our main outcomes are the association between physiological, behavioural and environmental data and (1) the loss of asthma control and (2) the occurrence of asthma exacerbations. ETHICS: This study was approved by the Medical Ethics Committee of the Leiden University Medical Center in the Netherlands and by the NHS ethics service in the UK. TRIAL REGISTRATION NUMBER: NCT02774772

    Mathematically Gifted Adolescents Have Deficiencies in Social Valuation and Mentalization

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    Many mathematically gifted adolescents are characterized as being indolent, underachieving and unsuccessful despite their high cognitive ability. This is often due to difficulties with social and emotional development. However, research on social and emotional interactions in gifted adolescents has been limited. The purpose of this study was to observe differences in complex social strategic behaviors between gifted and average adolescents of the same age using the repeated Ultimatum Game. Twenty-two gifted adolescents and 24 average adolescents participated in the Ultimatum Game. Two adolescents participate in the game, one as a proposer and the other as a responder. Because of its simplicity, the Ultimatum Game is an apt tool for investigating complex human emotional and cognitive decision-making in an empirical setting. We observed strategic but socially impaired offers from gifted proposers and lower acceptance rates from gifted responders, resulting in lower total earnings in the Ultimatum Game. Thus, our results indicate that mathematically gifted adolescents have deficiencies in social valuation and mentalization

    CD44+ cancer stem-like cells in EBV-associated nasopharyngeal carcinoma.

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    Giant hepatocellular adenoma as cause of severe abdominal pain: a case report

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    The authors describe the case of a large hepatocellular adenoma diagnosed in a 30-year old woman who came to us complaining of acute pain in the upper abdominal quadrants. The patient had been taking an oral contraceptive pill for the last ten years. We present the clinical features, the diagnostic work-up and the treatment prescribed
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