11,542 research outputs found

    Review of AIDS development

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    The operation and implementation of the aircraft integrated data system AIDS are described. The system is described as an engineering tool with strong emphasis on analysis of recorded information. The AIDS is primarily directed to the monitoring of parameters related to: the safety of the flight; the performance of the aircraft; the performance of the flight guidance system; and the performance and condition of the engines. The system provide short term trend analysis on a trend chart that is updated by the flight engineer on every flight that lasts more than 4 flight hours. Engine data prints are automatically presented during take-off and in the case of limit excedance, e.g., the print shows an automatically reported impending hotstarts on engine nr. 1. Other significant features are reported

    Good soil: a good start

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    Soil plays a central role in plant production and the environment. Organic growers depend on the soil’s natural richness and resistance to disease. In order to foster these essential qualities, farmers and researchers are looking at ways to stimulate soil life, optimise soil structure and close nutrient cycle

    Chain-wide learning for inclusive agrifood market development : a guide to multi-stakeholder processes for linking small-scale producers to modern markets

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    This guide provides a set of concepts and analytical tools for finding ways to better link small-scale producers to the modern markets associated with today’s largescale supermarket retail and wholesale operations. It is has been developed through iterative testing with partners in several organisations and countries. The guide is a product of the Regoverning Markets Programme, a multi-agency programme to generate strategic information and anticipatory policy advice on small-scale producers in these fast changing markets

    Introduction: memory on the move

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    Molecular footprint of drug-selective pressure in a human immunodeficiency virus transmission chain

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    Known human immunodeficiency virus (HIV) transmission histories are invaluable models for investigating the evolutionary and transmission dynamics of the virus and to assess the accuracy of phylogenetic reconstructions. Here we have characterized an HIV-1 transmission chain consisting of nine infected patients, almost all of whom were treated with antiviral drugs at later stages of infection. Partial pol and env gp41 regions of the HIV genome were directly sequenced from plasma viral RNA for at least one sample from each patient. Phylogenetic analyses in pol using likelihood methods inferred an evolutionary history not fully compatible with the known transmission history. This could be attributed to parallel evolution of drug resistance mutations resulting in the incorrect clustering of multidrug-resistant virus. On the other hand, a fully compatible phylogenetic tree was reconstructed from the env sequences. We were able to identify and quantify the molecular footprint of drug-selective pressure in pol using maximum likelihood inference under different codon substitution models. An increased fixation rate of mutations in the HIV population of the multidrug-resistant patient was demonstrated using molecular clock modeling. We show that molecular evolutionary analyses, guided by a known transmission history, can reveal the presence of confounding factors like natural selection and caution should be taken when accurate descriptions of HIV evolution are required.status: publishe

    Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats

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    Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types. First results from studies on heathland areas in Belgium and the Netherlands show that hyperspectral imagery can be an important source of information to assist the evaluation of the habitat conservation status. Hyperspectral imagery can provide continuous maps of habitat quality indicators (e.g., life forms or structure types, management activities, grass, shrub and tree encroachment) at the pixel level. At the same time, terrain managers, nature conservation agencies and national authorities responsible for the reporting to the EU are not directly interested in pixels, but rather in information at the level of vegetation patches, groups of patches or the protected site as a whole. Such local level information is needed for management purposes, e.g., exact location of patches of habitat types and the sizes and quality of these patches within a protected site. Site complexity determines not only the classification success of remote sensing imagery, but influences also the results of aggregation of information from the pixel to the site level. For all these reasons, it is important to identify and characterize the vegetation patches. This paper focuses on the use of segmentation techniques to identify relevant vegetation patches in combination with spectral mixture analysis of hyperspectral imagery from the Airborne Hyperspectral Scanner (AHS). Comparison with traditional vegetation maps shows that the habitat or vegetation patches can be identified by segmentation of hyperspectral imagery. This paper shows that spectral mixture analysis in combination with segmentation techniques on hyperspectral imagery can provide useful information on processes such as grass encroachment that determine the conservation status of Natura 2000 heathland areas to a large extent. A limitation is that both advanced remote sensing approaches and traditional field based vegetation surveys seem to cause over and underestimations of grass encroachment for specific categories, but the first provides a better basis for monitoring if specific species are not directly considered

    It is all about being popular: The effects of need for popularity on social network site use

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    Prior research on predictors of social network site (SNS) use has mainly focused on the Big Five, narcissism, and self-esteem. Results have been inconsistent, and variance explained was rather low. Need for popularity (NfP) might be a better predictor of SNS use, because SNSs are ideal venues for people with a high NfP. Study 1 tested NfP, self-esteem, need to belong, entitlement, and vanity as predictors for a range of SNS behaviors; Study 2 replaced entitlement and vanity with narcissism and added the Big Five as predictors. SNS behaviors assessed were grooming, strategic self-presentation, profile enhancement, disclosure of feelings, routine use of SNS, and number of friends. Results showed that NfP was the strongest and most consistent predictor of SNS behaviors. This pattern indicates that NfP plays an important role in SNSs. © 2012 Mary Ann Liebert, Inc

    Developing non-cognitive skills in part-time students at a South African university: Overcoming negativity and supporting behavioural change

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    This paper reports on the findings of an intervention aimed at assisting a group of thirty-one part-time students registered for a third year Management Accounting and Finance course to develop a range of non-cognitive skills that have been shown to positively impact academic behaviour. In addition to facilitating the teaching and learning of academic content, lecturers introduced students to academic mindsets, academic behaviours, learning strategies and social skills through role-plays and practical demonstrations. The intervention also strove to influence the context in which students learned in order to positively influence the attitudes of the students towards the course and to motivate them to acquire and practice behaviours that would support their learning. The intervention involved two action research cycles in which the researchers were able to reflect on the effectiveness of the various approaches used to encourage behaviour change and the acquisition of new skills. The findings of the study indicate that the intervention was successful in developing a range of non-cognitive attitudes, strategies and behaviours in students, with most of the cohort reporting positive changes in attitude towards their studies and the belief that academic success was indeed possible
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