14 research outputs found

    Westerlund 1 as a Template for Massive Star Evolution

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    With a dynamical mass M_dyn ~ 1.3x10e5 M_sun and a lower limit M_cl>5x10e4 M_sun from star counts, Westerlund 1 is the most massive young open cluster known in the Galaxy and thus the perfect laboratory to study massive star evolution. We have developed a comprehensive spectral classification scheme for supergiants based on features in the 6000-9000A range, which allows us to identify >30 very luminous supergiants in Westerlund 1 and ~100 other less evolved massive stars, which join the large population of Wolf-Rayet stars already known. Though detailed studies of these stars are still pending, preliminary rough estimates suggest that the stars we see are evolving to the red part of the HR diagram at approximately constant luminosity.Comment: To be published in Proceedings of IAU Symposium 250: Massive Stars as Cosmic Engines, held in Kaua'i (Hawaii, USA), Dec 2007, edited by F. Bresolin, P.A. Crowther & J. Puls (Cambridge University Press

    Expanding the scope of ethical research with and for children and young people – six viewpoints on crisis, cross-cultural working and reciprocity

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    This Viewpoints piece is a collection of six contributions to a wider Special Issue for Children’s Geographies on ‘Renewed questions of ethics in research with and for children and young people.’ The pieces extend the Issue in two key ways: i) by representing urgent questions of pandemic and crisis related ethics; and ii) extending the geographical and cultural scope of thinking ethically in research with children and young people

    Metabolic responses to high pCO2 conditions at a CO2 vent site in juveniles of a marine isopod species assemblage

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    We are starting to understand the relationship between metabolic rate responses and species' ability to respond to exposure to high pCO2. However, most of our knowledge has come from investigations of single species. The examination of metabolic responses of closely related species with differing distributions around natural elevated CO2 areas may be useful to inform our understanding of their adaptive significance. Furthermore, little is known about the physiological responses of marine invertebrate juveniles to high pCO2, despite the fact they are known to be sensitive to other stressors, often acting as bottlenecks for future species success. We conducted an in situ transplant experiment using juveniles of isopods found living inside and around a high pCO2 vent (Ischia, Italy): the CO2 'tolerant' Dynamene bifida and 'sensitive' Cymodoce truncata and Dynamene torelliae. This allowed us to test for any generality of the hypothesis that pCO2 sensitive marine invertebrates may be those that experience trade-offs between energy metabolism and cellular homoeostasis under high pCO2 conditions. Both sensitive species were able to maintain their energy metabolism under high pCO2 conditions, but in C. truncata this may occur at the expense of [carbonic anhydrase], confirming our hypothesis. By comparison, the tolerant D. bifida appeared metabolically well adapted to high pCO2, being able to upregulate ATP production without recourse to anaerobiosis. These isopods are important keystone species; however, given they differ in their metabolic responses to future pCO2, shifts in the structure of the marine ecosystems they inhabit may be expected under future ocean acidification conditions

    HARL-A: Hardware Agnostic Reinforcement Learning Through Adversarial Selection

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    The use of reinforcement learning (RL) has ledto huge advancements in the field of robotics. However datascarcity, brittle convergence and the gap between simulation& real world environments, mean that most common RLapproaches are subject to over fitting and fail to generaliseto unseen environments. Hardware agnostic policies wouldmitigate this by allowing a single network to operate in avariety of test domains, where dynamics vary due to changes inrobotic morphologies or internal parameters.We utilise the ideathat learning to adapt a known and successful control policy iseasier and more flexible than jointly learning numerous controlpolicies for different morphologies.This paper presents the idea of Hardware Agnostic ReinforcementLearning using Adversarial selection (HARL-A). Inthis approach training examples are sampled using a noveladversarial loss function. This is designed to self regulatemorphologies based on their learning potential. Simply applyingour learning potential based loss function to current stateof-the-art already provides ~ 30% improvement in performance.Meanwhile experiments using the full implementationof HARL-A report an average increase of 70% to a standardRL baseline and 55% compared with current state-of-the-art

    ORCHID: Optimisation of Robotic Control and Hardware In Design using Reinforcement Learning

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    The successful performance of any system isdependant on the hardware of the agent, which is typicallyimmutable during RL training. In this work, we presentORCHID (Optimisation of Robotic Control and Hardware InDesign) which allows for truly simultaneous optimisation ofhardware and control parameters in an RL pipeline. We showthat by forming a complex differential path through a trajectoryrollout we can leverage a vast amount of information from thesystem that was previously lost in the ‘black-box’ environment.Combining this with a novel hardware-conditioned critic network minimises variance during training and ensures stableupdates are made. This allows for refinements to be made toboth the morphology and control parameters simultaneously.The result is an efficient and versatile approach to holistic robotdesign, that brings the final system nearer to true optimality.We show improvements in performance across 4 different testenvironments with two different control algorithms - in all experiments the maximum performance achieved with ORCHIDis shown to be unattainable using only policy updates with thedefault design. We also show how re-designing a robot usingORCHID in simulation, transfers to a vast improvement in theperformance of a real-world robot

    Family fortunes: an intergenerational perspective on recession

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    This paper draws on longitudinal qualitative data from a study of family dynamics arising from the arrival of a new generation. It begins by outlining a conceptual framework for exploring historical and economic events through the accounts of families. It then outlines some of the very different ways that individuals responded to questions about the recession, reflecting both their distinct generational positions as well as their relative exposure to risk. How the credit crunch is experienced varies considerably according to the situations of individuals and families, with meaning created retroactively. The way in which individuals narrate their situations depends in part on the kinds of stories that members of the family tell about themselves and their relationships, as well as the less conscious family dialogue that lies behind these. Through an in-depth longitudinal case study, it is shown how family narratives change over time in response to events, suggesting how events in the present resonate with the unresolved legacy of events in the past

    Epidemiological characteristics, practice of ventilation, and clinical outcome in patients at risk of acute respiratory distress syndrome in intensive care units from 16 countries (PRoVENT): an international, multicentre, prospective study

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    Background Scant information exists about the epidemiological characteristics and outcome of patients in the intensive care unit (ICU) at risk of acute respiratory distress syndrome (ARDS) and how ventilation is managed in these individuals. We aimed to establish the epidemiological characteristics of patients at risk of ARDS, describe ventilation management in this population, and assess outcomes compared with people at no risk of ARDS. Methods PRoVENT (PRactice of VENTilation in critically ill patients without ARDS at onset of ventilation) is an international, multicentre, prospective study undertaken at 119 ICUs in 16 countries worldwide. All patients aged 18 years or older who were receiving mechanical ventilation in participating ICUs during a 1-week period between January, 2014, and January, 2015, were enrolled into the study. The Lung Injury Prediction Score (LIPS) was used to stratify risk of ARDS, with a score of 4 or higher defining those at risk of ARDS. The primary outcome was the proportion of patients at risk of ARDS. Secondary outcomes included ventilatory management (including tidal volume [VT] expressed as mL/kg predicted bodyweight [PBW], and positive end-expiratory pressure [PEEP] expressed as cm H2O), development of pulmonary complications, and clinical outcomes. The PRoVENT study is registered at ClinicalTrials.gov, NCT01868321. The study has been completed. Findings Of 3023 patients screened for the study, 935 individuals fulfilled the inclusion criteria. Of these critically ill patients, 282 were at risk of ARDS (30%, 95% CI 27\u201333), representing 0\ub714 cases per ICU bed over a 1-week period. VT was similar for patients at risk and not at risk of ARDS (median 7\ub76 mL/kg PBW [IQR 6\ub77\u20139\ub71] vs 7\ub79 mL/kg PBW [6\ub78\u20139\ub71]; p=0\ub7346). PEEP was higher in patients at risk of ARDS compared with those not at risk (median 6\ub70 cm H2O [IQR 5\ub70\u20138\ub70] vs 5\ub70 cm H2O [5\ub70\u20137\ub70]; p<0\ub70001). The prevalence of ARDS in patients at risk of ARDS was higher than in individuals not at risk of ARDS (19/260 [7%] vs 17/556 [3%]; p=0\ub7004). Compared with individuals not at risk of ARDS, patients at risk of ARDS had higher in-hospital mortality (86/543 [16%] vs 74/232 [32%]; p<0\ub70001), ICU mortality (62/533 [12%] vs 66/227 [29%]; p<0\ub70001), and 90-day mortality (109/653 [17%] vs 88/282 [31%]; p<0\ub70001). VT did not differ between patients who did and did not develop ARDS (p=0\ub7471 for those at risk of ARDS; p=0\ub7323 for those not at risk). Interpretation Around a third of patients receiving mechanical ventilation in the ICU were at risk of ARDS. Pulmonary complications occur frequently in patients at risk of ARDS and their clinical outcome is worse compared with those not at risk of ARDS. There is potential for improvement in the management of patients without ARDS. Further refinements are needed for prediction of ARDS

    Epidemiological characteristics, practice of ventilation, and clinical outcome in patients at risk of acute respiratory distress syndrome in intensive care units from 16 countries (PRoVENT): an international, multicentre, prospective study

    No full text
    Background Scant information exists about the epidemiological characteristics and outcome of patients in the intensive care unit (ICU) at risk of acute respiratory distress syndrome (ARDS) and how ventilation is managed in these individuals. We aimed to establish the epidemiological characteristics of patients at risk of ARDS, describe ventilation management in this population, and assess outcomes compared with people at no risk of ARDS. Methods PRoVENT (PRactice of VENTilation in critically ill patients without ARDS at onset of ventilation) is an international, multicentre, prospective study undertaken at 119 ICUs in 16 countries worldwide. All patients aged 18 years or older who were receiving mechanical ventilation in participating ICUs during a 1-week period between January, 2014, and January, 2015, were enrolled into the study. The Lung Injury Prediction Score (LIPS) was used to stratify risk of ARDS, with a score of 4 or higher defining those at risk of ARDS. The primary outcome was the proportion of patients at risk of ARDS. Secondary outcomes included ventilatory management (including tidal volume [VT] expressed as mL/kg predicted bodyweight [PBW], and positive end-expiratory pressure [PEEP] expressed as cm H2O), development of pulmonary complications, and clinical outcomes. The PRoVENT study is registered at ClinicalTrials.gov, NCT01868321. The study has been completed. Findings Of 3023 patients screened for the study, 935 individuals fulfilled the inclusion criteria. Of these critically ill patients, 282 were at risk of ARDS (30%, 95% CI 27–33), representing 0·14 cases per ICU bed over a 1-week period. VT was similar for patients at risk and not at risk of ARDS (median 7·6 mL/kg PBW [IQR 6·7–9·1] vs 7·9 mL/kg PBW [6·8–9·1]; p=0·346). PEEP was higher in patients at risk of ARDS compared with those not at risk (median 6·0 cm H2O [IQR 5·0–8·0] vs 5·0 cm H2O [5·0–7·0]; p<0·0001). The prevalence of ARDS in patients at risk of ARDS was higher than in individuals not at risk of ARDS (19/260 [7%] vs 17/556 [3%]; p=0·004). Compared with individuals not at risk of ARDS, patients at risk of ARDS had higher in-hospital mortality (86/543 [16%] vs 74/232 [32%]; p<0·0001), ICU mortality (62/533 [12%] vs 66/227 [29%]; p<0·0001), and 90-day mortality (109/653 [17%] vs 88/282 [31%]; p<0·0001). VT did not differ between patients who did and did not develop ARDS (p=0·471 for those at risk of ARDS; p=0·323 for those not at risk). Interpretation Around a third of patients receiving mechanical ventilation in the ICU were at risk of ARDS. Pulmonary complications occur frequently in patients at risk of ARDS and their clinical outcome is worse compared with those not at risk of ARDS. There is potential for improvement in the management of patients without ARDS. Further refinements are needed for prediction of ARDS
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