62 research outputs found

    Antipsychotic drug use in pregnancy: A multinational study from ten countries

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    Aim: To compare the prevalence and trends of antipsychotic drug use during pregnancy between countries across four continents. Methods: Individually linked health data in Denmark (2000−2012), Finland (2005–2014), Iceland (2004–2017), Norway (2005–2015), Sweden (2006–2015), Germany (2006–2015), Australia (New South Wales, 2004–2012), Hong Kong (2001–2015), UK (2006–2016), and the US (Medicaid, 2000–2013, and IBM MarketScan, 2012–2015) were used. Using a uniformed approach, we estimated the prevalence of antipsychotic use as the proportion of pregnancies where a woman filled at least one antipsychotic prescription within three months before pregnancy until birth. For the Nordic countries, data were meta-analyzed to investigate maternal characteristics associated with the use of antipsychotics. Results: We included 8,394,343 pregnancies. Typical antipsychotic use was highest in the UK (4.4%) whereas atypical antipsychotic use was highest in the US Medicaid (1.5%). Atypical antipsychotic use increased over time in most populations, reaching 2% in Australia (2012) and US Medicaid (2013). In most countries, prochlorperazine was the most commonly used typical antipsychotic and quetiapine the most commonly used atypical antipsychotic. Use of antipsychotics decreased across the trimesters of pregnancy in all populations except Finland. Antipsychotic use was elevated among smokers and those with parity ≥4 in the Nordic countries. Conclusion: Antipsychotic use during pregnancy varied considerably between populations, partly explained by varying use of the typical antipsychotic prochlorperazine, which is often used for nausea and vomiting in early pregnancy. Increasing usage of atypical antipsychotics among pregnant women reflects the pattern that was previously reported for the general population

    Hybrid control using evolutionary tuned fuzzy controller techniques - a study

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    Many real world systems exist that have operating regions or regimes that exhibit varying degrees of non-lineararity. An example of this are the significant variations in the dynamic characteristics of a distributed collector field within a solar power plant. Her a gain schedule controller using pole placement with feedforward was chosen to control the more linear operating regimes of the plant. Then a study was carried out to find the best suited and most efficient evolutionary-tuned fuzzy logic based controller, for rexlusive and concentrated use on the plant's more non-linear regions

    A Jumping Genes Scheme for Multi-objective Coordinated Voltage Control

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    A new jumping genes evolutionary algorithm is proposed for searching the agreeable solution for retaining the voltage profile. On the basis of optimal coordinated voltage control structure, this scheme was testified using the New England 39-bus power system. The main feature of this optimization method is its ability to find the extreme non-dominated solutions that could fulfill the voltage control requirement even when the objective function are contradicted with each other

    A MCDM Knowledge Based Scheme for Coordinated Voltage Control

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    A new real time power voltage control strategy is proposed in the paper. A novel off-line evolutionary multi-objective optimization algorithm called jumping genes is used to generate the wide spread control solutions which are readily stored into a knowledge data base. A separate on-line multiple criteria decision making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by a representative 6-buses nonlinear power system model. The system output performance is speedy and accurate

    Absolute cross sections for electron loss to the continuum

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    SIGLEAvailable from British Library Lending Division - LD:D57211/85 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Evolution of a heave control system for an amphibious hovercraft

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    SIGLEAvailable from British Library Lending Division - LD:D54082/85 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
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