60 research outputs found

    Upscaling nitrogen removal capacity from local hotspots to low stream orders’ drainage basins

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    International audienceDenitrification is the main process removing nitrate in river drainage basins and buffer input from agricultural land and limits aquatic ecosystem pollution. However, the identification of denitrification hotspots (for example, riparian zones), their role in a landscape context and the evolution oftheir overall removal capacity at the drainage basin scale are still challenging. The main approaches used (that is, mass balance method, denitrification proxies, and potential wetted areas) suffer from methodological drawbacks. We review these approaches and the key frameworks that have been proposed to date to formalize the understanding of the mechanisms driving denitrification: (i) Diffusion versus advection pathways of nitrate transfer, (ii) the biogeochemical hotspot, and (iii) the Damköhler ratio. Based on these frameworks, we propose to use high-resolution mapping of catchment topography and landscape pattern to define both potential denitrification sites and the dynamic hydrologic modeling at a similar spatial scale (<10 km2). It would allow the quantification of cumulative denitrification activity at the small catchment scale, using spatially distributed Damköhler and Peclet numbers and biogeochemical proxies. Integration of existing frameworks with new tools and methods offers the potential for significant breakthroughs in the quantification and modeling of denitrification in small drainage basins. This can provide a basis for improved protection and restoration of surface water and groundwater quality

    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 &lt; 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

    Choosing Jobs in the Public, Non-Profit, and For-Profit Sectors: Personal Career Anchors Moderating the Impact of Sector Image and Reputation

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    We expand on Cable and Turban’s employer knowledge model to investigate how sector attractiveness, that is, image and reputation, predicts management graduates’ sector-specific pursuit intentions, moderated by career anchors. The non-profit sector has the warmest image, followed by the public sector, while the latter is perceived as the least competent and shows the weakest reputation. Each sector’s competence image (but not its warmth image) and reputation significantly predict sector-specific pursuit intentions. The security, service, and challenge anchors confirmed their unique positive moderating impact, respectively for the public, non-profit, and for-profit sectors, although the challenge anchor reduced the public sector’s attractiveness. This study accentuates the importance of matching sector features with personal characteristics for understanding sector attractiveness to job seekers. Consequently, we offer new insights concerning sector-related recruitment practices and sector branding.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Stereotypes of Volunteers and Nonprofit Organizations’ Professionalization: A Two-Study Article.

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    Competence and warmth are two fundamental stereotypical dimensions that frame people’s social judgements. Since we currently lack evidence about how the volunteering workforce is socially perceived, this paper aims to (1) understand which stereotypes are associated with volunteers, and (2) determine whether these perceptions vary as a result of contextual changes (i.e., professionalization) that have recently characterized nonprofit organizations (NPOs). Two empirical survey-based studies were conducted in Belgium, one comprising data collected from a general population sample (N = 233), and the other from volunteers (N = 128). Study 1 displayed volunteers being perceived by the general population as warmer rather than competent. Study 2 found that ingroup warmth perceptions in a volunteers’ sample decreased as NPOs became progressively more business-like. Combined, these two studies illustrate that warmth is at the heart of the volunteers’ role and show that the increasing professionalization of NPOs affects this perception
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