30 research outputs found

    The Declension of Ethnonyms in English

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    Proceedings of the Twenty-First Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on Historical Issues in Sociolinguistics/Social Issues in Historical Linguistics (1995

    Au-delà du Stammbaum : Théories modernes du changement linguistique

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    RÉSUMÉAu-delĂ  du Stammbaum. ThĂ©ories modernes du changement linguistiqueDeux thĂšmes dans l'histoire de la linguistique historique sont discutĂ©s en dĂ©tail : (1) L'École nĂ©ogrammarienne et son rĂŽle dans la formulation (i) d'un modĂšle du changement linguistique, et (ii) d'une mĂ©thode scientifique pour la reconstruction de lexĂšmes et de traits linguistiques ancestraux. (2) La doctrine saussurienne de la langue comme systĂšme et son influence sur les Ă©coles linguistiques du 20e siĂšcle, Ă  savoir le structuralisme, la gĂ©olinguistique, le gĂ©nĂ©rativisme, la sociolinguistique variationniste. À la fin de l'article sont prĂ©sentĂ©es quelques observations sur les implications de l'Ă©tude du changement linguistique pour l'Ă©tude du changement socioculturel.Mots clĂ©s : Tuite, linguistique historique, Saussure, nĂ©ogrammariens, changement linguistique et culturelABSTRACTBeyond thĂ© Stammbaum : Current ThĂ©ories of Language ChangeThe history of historical linguistics is presented, with spĂ©cial focus given to : (1) The Neogrammarian school, and ils rĂŽle in thĂ© development of a model of language change, and a scientific methodology for thĂ© reconstruction of ancestral lexĂšmes and language features. (2) The view of language as system proposed by Saussure, and ils impact on 20th-century linguistics, including structuralism, linguistic geography, generativism and variationist sociolinguistics. The article concludes with some thoughts on thĂ© implications of research on language change for research on sociocultural change.Key words : Tuite, historical linguistics, Saussure, neogrammarians, linguistic and cultural chang

    Indirect Transitives in Georgian

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    Proceedings of the Thirteenth Annual Meeting of the Berkeley Linguistics Society (1987), pp. 296-30

    Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States.

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    BACKGROUND: Self-protective behaviors of social distancing and vaccination uptake vary by demographics and affect the transmission dynamics of influenza in the United States. By incorporating the socio-behavioral differences in social distancing and vaccination uptake into mathematical models of influenza transmission dynamics, we can improve our estimates of epidemic outcomes. In this study we analyze the impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. METHODS: We conducted a survey of a nationally representative sample of US adults to collect data on their self-protective behaviors, including social distancing and vaccination to protect themselves from influenza infection. We incorporated this data in an agent-based model to simulate the transmission dynamics of influenza in the urban region of Miami Dade county in Florida and the rural region of Montgomery county in Virginia. RESULTS: We compare epidemic scenarios wherein the social distancing and vaccination behaviors are uniform versus non-uniform across different demographic subpopulations. We infer that a uniform compliance of social distancing and vaccination uptake among different demographic subpopulations underestimates the severity of the epidemic in comparison to differentiated compliance among different demographic subpopulations. This result holds for both urban and rural regions. CONCLUSIONS: By taking into account the behavioral differences in social distancing and vaccination uptake among different demographic subpopulations in analysis of influenza epidemics, we provide improved estimates of epidemic outcomes that can assist in improved public health interventions for prevention and control of influenza

    ZikaPLAN: addressing the knowledge gaps and working towards a research preparedness network in the Americas.

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    Zika Preparedness Latin American Network (ZikaPLAN) is a research consortium funded by the European Commission to address the research gaps in combating Zika and to establish a sustainable network with research capacity building in the Americas. Here we present a report on ZikaPLAN`s mid-term achievements since its initiation in October 2016 to June 2019, illustrating the research objectives of the 15 work packages ranging from virology, diagnostics, entomology and vector control, modelling to clinical cohort studies in pregnant women and neonates, as well as studies on the neurological complications of Zika infections in adolescents and adults. For example, the Neuroviruses Emerging in the Americas Study (NEAS) has set up more than 10 clinical sites in Colombia. Through the Butantan Phase 3 dengue vaccine trial, we have access to samples of 17,000 subjects in 14 different geographic locations in Brazil. To address the lack of access to clinical samples for diagnostic evaluation, ZikaPLAN set up a network of quality sites with access to well-characterized clinical specimens and capacity for independent evaluations. The International Committee for Congenital Anomaly Surveillance Tools was formed with global representation from regional networks conducting birth defects surveillance. We have collated a comprehensive inventory of resources and tools for birth defects surveillance, and developed an App for low resource regions facilitating the coding and description of all major externally visible congenital anomalies including congenital Zika syndrome. Research Capacity Network (REDe) is a shared and open resource centre where researchers and health workers can access tools, resources and support, enabling better and more research in the region. Addressing the gap in research capacity in LMICs is pivotal in ensuring broad-based systems to be prepared for the next outbreak. Our shared and open research space through REDe will be used to maximize the transfer of research into practice by summarizing the research output and by hosting the tools, resources, guidance and recommendations generated by these studies. Leveraging on the research from this consortium, we are working towards a research preparedness network

    COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

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    Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≀ 18 years: 69, 48, 23; 85%), older adults (≄ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

    Design of a Wearable Balance Control Indicator

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    Each year, one in three elderly fall. Studies show that many factors contribute to an elderly person's risk of falling, but if the factors causing imbalance are improved, a person's risk of falling may be reduced. A device that detects and alerts the user of an off-balance situation before the fall occurs could identify a specific need for improved balance control. This MQP describes the design, testing, and verification of a prototype wearable device that is worn on the right hip during the sit-to-stand activity (STS) to detect and notify the user of an unbalanced STS. By signaling an off-balance situation during STS, our device notifies the user of poor balance control and identifies the need for balance control improvement
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