976 research outputs found

    Fitted HBT radii versus space-time variances in flow-dominated models

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    The inability of otherwise successful dynamical models to reproduce the ``HBT radii'' extracted from two-particle correlations measured at the Relativistic Heavy Ion Collider (RHIC) is known as the ``RHIC HBT Puzzle.'' Most comparisons between models and experiment exploit the fact that for Gaussian sources the HBT radii agree with certain combinations of the space-time widths of the source which can be directly computed from the emission function, without having to evaluate, at significant expense, the two-particle correlation function. We here study the validity of this approach for realistic emission function models some of which exhibit significant deviations from simple Gaussian behaviour. By Fourier transforming the emission function we compute the 2-particle correlation function and fit it with a Gaussian to partially mimic the procedure used for measured correlation functions. We describe a novel algorithm to perform this Gaussian fit analytically. We find that for realistic hydrodynamic models the HBT radii extracted from this procedure agree better with the data than the values previously extracted from the space-time widths of the emission function. Although serious discrepancies between the calculated and measured HBT radii remain, we show that a more ``apples-to-apples'' comparison of models with data can play an important role in any eventually successful theoretical description of RHIC HBT data.Comment: 12 pages, 16 color figure

    Surface electrical properties experiment, part 1

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    The work is reported which was performed on the Surface Electrical Properties Experiment Data Acquisition System. Areas discussed include: data handling and processing, installation and external signal application, operation of the equipment, and digital output. Detailed circuit descriptions are included

    Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter

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    International audienceWe demonstrate the application of an efficient multivariate probabilistic parameter estimation method to a spectral primitive equation atmospheric GCM. The method, which is based on the Ensemble Kalman Filter, is effective at tuning the surface air temperature climatology of the model to both identical twin data and reanalysis data. When 5 parameters were simultaneously tuned to fit the model to reanalysis data, the model errors were reduced by around 35% compared to those given by the default parameter values. However, the precipitation field proved to be insensitive to these parameters and remains rather poor. The model is computationally cheap but chaotic and otherwise realistic, and the success of these experiments suggests that this method should be capable of tuning more sophisticated models, in particular for the purposes of climate hindcasting and prediction. Furthermore, the method is shown to be useful in determining structural deficiencies in the model which can not be improved by tuning, and so can be a useful tool to guide model development. The work presented here is for a limited set of parameters and data, but the scalability of the method is such that it could easily be extended to a more comprehensive parameter set given sufficient observational data to constrain them

    On the state dependency of fast feedback processes in (palaeo) climate sensitivity

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    Palaeo data have been frequently used to determine the equilibrium (Charney) climate sensitivity SaS^a, and - if slow feedback processes (e.g. land ice-albedo) are adequately taken into account - they indicate a similar range as estimates based on instrumental data and climate model results. Most studies implicitly assume the (fast) feedback processes to be independent of the background climate state, e.g., equally strong during warm and cold periods. Here we assess the dependency of the fast feedback processes on the background climate state using data of the last 800 kyr and a conceptual climate model for interpretation. Applying a new method to account for background state dependency, we find Sa=0.61±0.06S^a=0.61\pm0.06 K(Wm2^{-2})1^{-1} using the latest LGM temperature reconstruction and significantly lower climate sensitivity during glacial climates. Due to uncertainties in reconstructing the LGM temperature anomaly, SaS^a is estimated in the range Sa=0.550.95S^a=0.55-0.95 K(Wm2^{-2})1^{-1}.Comment: submitted to Geophysical Research Letter

    Linking Community Participatory Research to Global Policymaking: Lessons Learned

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    The past two decades saw a proliferation of opportunities for the perspectives of people experiencing poverty and marginalisation to input into global policymaking spaces. So far these efforts have been contested, with attempts to embed participatory methodologies facilitating only limited consultation and falling into many pitfalls. While Participate was built on learning from previous attempts to influence global policy, we aimed to further understand participatory processes, and advance practical mechanisms for participation at every level of decision-making, from local to national and global. Participate emphasises the interactions between these levels and the importance of impacting multiple levels in order to create lasting, transformative change. This chapter describes what has been learnt about bringing the voices on the ground into global policymaking. We examine how and by whom the knowledge and evidence created were used, and the barriers and challenges to embedding this knowledge into global policy processes, through the following questions: • What have been the challenges to embedding participatory processes into global policy spaces? • What have these pathways of influence looked like, and what are some of the key lessons learned from these

    The Economic Impacts of Wildfires on Agricultural Land Markets

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    Wildfires have become more prevalent and have negatively affected economic well-being and human health in wildfire-prone regions. Compared to other sectors, the effects of wildfires on agriculture have received less attention. In this paper, we estimate the effect of wildfires on agricultural land prices. To the extent that wildfires pose a threat to current and future farm-related returns, agricultural land prices should decrease in response to nearby wildfires. We employ a difference-in-differences research design to examine how wildfire risk, measured by proximity to wildfire, affects observed parcel-level agricultural land prices. The study uses pooled cross-sectional data covering agricultural land transactions in Oregon over the period 2000-2023. Preliminary results indicate that wildfire risk has lowered agricultural land values in Oregon by 19-54% for parcels in close proximity (within 2km) to wildfires. The findings highlight the importance of measuring the economic costs of recent catastrophic wildfires in Oregon and the western US, particularly in relation to wildfire-related damages to the agricultural sector

    Population genetics of trypanosoma brucei rhodesiense: clonality and diversity within and between foci

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    African trypanosomes are unusual among pathogenic protozoa in that they can undergo their complete morphological life cycle in the tsetse fly vector with mating as a non-obligatory part of this development. Trypanosoma brucei rhodesiense, which infects humans and livestock in East and Southern Africa, has classically been described as a host-range variant of the non-human infective Trypanosoma brucei that occurs as stable clonal lineages. We have examined T. b. rhodesiense populations from East (Uganda) and Southern (Malawi) Africa using a panel of microsatellite markers, incorporating both spatial and temporal analyses. Our data demonstrate that Ugandan T. b. rhodesiense existed as clonal populations, with a small number of highly related genotypes and substantial linkage disequilibrium between pairs of loci. However, these populations were not stable as the dominant genotypes changed and the genetic diversity also reduced over time. Thus these populations do not conform to one of the criteria for strict clonality, namely stability of predominant genotypes over time, and our results show that, in a period in the mid 1990s, the previously predominant genotypes were not detected but were replaced by a novel clonal population with limited genetic relationship to the original population present between 1970 and 1990. In contrast, the Malawi T. b. rhodesiense population demonstrated significantly greater diversity and evidence for frequent genetic exchange. Therefore, the population genetics of T. b. rhodesiense is more complex than previously described. This has important implications for the spread of the single copy T. b. rhodesiense gene that allows human infectivity, and therefore the epidemiology of the human disease, as well as suggesting that these parasites represent an important organism to study the influence of optional recombination upon population genetic dynamics

    Targeted online liquid chromatography electron capture dissociation mass spectrometry for the localization of sites of in vivo phosphorylation in human Sprouty2

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    We demonstrate a strategy employing collision-induced dissociation for phosphopeptide discovery, followed by targeted electron capture dissociation (ECD) for site localization. The high mass accuracy and low background noise of the ECD mass spectra allow facile sequencing of coeluting isobaric phosphopeptides, with up to two isobaric phosphopeptides sequenced from a single mass spectrum. In contrast to the previously described neutral loss of dependent ECD method, targeted ECD allows analysis of both phosphotyrosine peptides and lower abundance phosphopeptides. The approach was applied to phosphorylation analysis of human Sprouty2, a regulator of receptor tyrosine kinase signaling. Fifteen sites of phosphorylation were identified, 11 of which are novel

    Effectiveness of a structured educational intervention using psychological delivery methods in children and adolescents with poorly controlled type 1 diabetes: a cluster randomised controlled trial of the CASCADE intervention

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    Introduction: Type 1 diabetes in children and adolescents is increasing worldwide with a particular increase in children < 5 years. Fewer than one in six children and adolescents achieve recommended HbA1c values. Methods: A pragmatic, cluster randomised control trial assessed the efficacy of a clinic-based structured educational group incorporating psychological approaches to improve long-term glycaemic control, quality of life and psychosocial functioning in children and adolescents with T1D. 28 paediatric diabetes services were randomised to deliver the intervention or standard care. 362 children (8-16 years) HbA1c ≥ 8.5% were recruited. Outcomes were HbA1c at 12 and 24 months, hypoglycaemia, admissions, self-management skills, intervention compliance, emotional and behavioural adjustment and quality of life. A process evaluation collected data from key stakeholder groups in order to evaluate the feasibility of delivering the intervention. Results: 298/362 patients (82.3%) provided HbA1c at 12 months and 284/362 (78.5%) at 24 months. The intervention did not improve HbA1c at 12 months (intervention effect 0.11, 95% CI −0.28 to 0.50, P=0.584), or 24 months (intervention effect 0.03, 95% CI -0.36 to 0.41, P=0.891). There were no significant changes in remaining outcomes. 96/180 (53%) families in the intervention arm attended at least one module. The number of modules attended did not affect outcome. Reasons for low uptake included difficulties organising groups and work and school commitments. Those with highest HbA1cs were less likely to attend. Mean cost of the intervention was £683 per child. Conclusions: Significant challenges in the delivery of a structured education intervention using psychological techniques to enhance engagement and behaviour change delivered by diabetes nurses and dietitians in routine clinical practice were found. The intervention did not improve HbA1c in children and adolescents with poor control
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