1,597 research outputs found

    Comparison of an electrically-small planar antenna array with a conventional monopole array

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    A reconfigurable electrically-small antenna operating in the 'DC' mode

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    Effect of antenna element properties and array orientation on performance of MIMO systems

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    The ethics of pharmaceutical industry relationships with medical students

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    The document attached has been archived with permission from the editor of the Medical Journal of Australia. An external link to the publisher’s copy is included.Little research has been done on the extent of the relationship between the pharmaceutical industry and medical students, and the effect on students of receiving gifts. Potential harms to patients are documented elsewhere; we focus on potential harms to students. Students who receive gifts may believe that they are receiving something for nothing, contributing to a sense of entitlement that is not in the best interests of their moral development as doctors. Alternatively, students may be subject to recognised or unrecognised reciprocal obligations that potentially influence their decision making. Medical educators have a duty of care to protect students from influence by pharmaceutical companies.Wendy A Rogers, Peter R Mansfield, Annette J Braunack-Mayer and Jon N Jureidin

    Lumped device modeling with FDTD including packaging effects

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    Disease prevention versus data privacy : using landcover maps to inform spatial epidemic models

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    The availability of epidemiological data in the early stages of an outbreak of an infectious disease is vital for modelers to make accurate predictions regarding the likely spread of disease and preferred intervention strategies. However, in some countries, the necessary demographic data are only available at an aggregate scale. We investigated the ability of models of livestock infectious diseases to predict epidemic spread and obtain optimal control policies in the event of imperfect, aggregated data. Taking a geographic information approach, we used land cover data to predict UK farm locations and investigated the influence of using these synthetic location data sets upon epidemiological predictions in the event of an outbreak of foot-and-mouth disease. When broadly classified land cover data were used to create synthetic farm locations, model predictions deviated significantly from those simulated on true data. However, when more resolved subclass land use data were used, moderate to highly accurate predictions of epidemic size, duration and optimal vaccination and ring culling strategies were obtained. This suggests that a geographic information approach may be useful where individual farm-level data are not available, to allow predictive analyses to be carried out regarding the likely spread of disease. This method can also be used for contingency planning in collaboration with policy makers to determine preferred control strategies in the event of a future outbreak of infectious disease in livestock

    Acquisition of aluminium tolerance by modification of a single gene in barley

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    Originating from the Fertile Crescent in the Middle East, barley has now been cultivated widely on different soil types including acid soils, where aluminium toxicity is a major limiting factor. Here we show that the adaptation of barley to acid soils is achieved by the modification of a single gene (HvAACT1) encoding a citrate transporter. We find that the primary function of this protein is to release citrate from the root pericycle cells to the xylem to facilitate the translocation of iron from roots to shoots. However, a 1-kb insertion in the upstream of the HvAACT1 coding region occurring only in the Al-tolerant accessions, enhances its expression and alters the location of expression to the root tips. The altered HvAACT1 has an important role in detoxifying aluminium by secreting citrate to the rhizosphere. Thus, the insertion of a 1-kb sequence in the HvAACT1 upstream enables barley to adapt to acidic soils
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