107 research outputs found

    Coordination Matters : Interpersonal Synchrony Influences Collaborative Problem-Solving

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    The authors thank Martha von Werthern and Caitlin Taylor for their assistance with data collection, Cathy Macpherson for her assistance with the preparation of the manuscript, and Mike Richardson, Alex Paxton, and Rick Dale for providing MATLAB code to assist with data analysis. The research was funded by the British Academy (SG131613).Peer reviewedPublisher PD

    Approaches to accompaniment on the baroque guitar c.1590-c.1730

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    The five-course guitar was used as an instrument of accompaniment from the mid-sixteenth to the late-eighteenth century, yet its importance in this role has largely been overlooked in scholarship to date. While there are some isolated studies of individual sources, this is the first comprehensive study of the substantial body of extant guidelines with a view to understanding the styles of accompaniment on the instrument and how their practices developed during this period. This thesis documents the chronological development of the performance practices in such a way that parallels may be drawn between these sources and treatises for other instruments of accompaniment. Guitar accompaniments were, however, also strongly influenced by the performance practices associated with alfabeto chord symbols. Thus, to enable an understanding of the more idiomatic characteristics of guitar accompaniment stemming from alfabeto practices, a detailed evaluation of the true sophistication of the language of alfabeto is provided for the first time. This study provides a complete re-evaluation of the five-course guitar as an instrument of accompaniment; it challenges the past relegation of the instrument to ‘light’ or ‘frivolous’ musical repertoires; and it highlights the various approaches that were adopted in diverse performance contexts

    Network design for mesoscale inversions of CO2 sources and sinks

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    International audienceRecent instrumental deployments of regional observation networks of atmospheric CO2 mixing ratios have been used to constrain carbon sources and sinks using inversion methodologies. In this study, we performed sensitivity experiments using observation sites from the Mid Continent Intensive experiment to evaluate the required spatial density and locations of CO2 concentration towers based on flux corrections and error reduction analysis. In addition, we investigated the impact of prior flux error structures with different correlation lengths and biome information. We show here that, while the regional carbon balance converged to similar annual estimates using only two concentration towers over the region, additional sites were necessary to retrieve the spatial flux distribution of our reference case (using the entire network of eight towers). Local flux corrections required the presence of observation sites in their vicinity, suggesting that each tower was only able to retrieve major corrections within a hundred of kilometres around, despite the introduction of spatial correlation lengths (~100 to 300 km) in the prior flux errors. We then quantified and evaluated the impact of the spatial correlations in the prior flux errors by estimating the improvement in the CO2 model-data mismatch of the towers not included in the inversion. The overall gain across the domain increased with the correlation length, up to 300 km, including both biome-related and non-biome-related structures. However, the spatial variability at smaller scales was not improved. We conclude that the placement of observation towers around major sources and sinks is critical for regional-scale inversions in order to obtain reliable flux distributions in space. Sparser networks seem sufficient to assess the overall regional carbon budget with the support of flux error correlations, indicating that regional signals can be recovered using hourly mixing ratios. However, the smaller spatial structures in the posterior fluxes are highly constrained by assumed prior flux error correlation lengths, with no significant improvement at only a few hundreds of kilometres away from the observation sites

    On the Impact of Granularity of Space-Based Urban CO2 Emissions in Urban Atmospheric Inversions: A Case Study for Indianapolis, IN

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    Quantifying greenhouse gas (GHG) emissions from cities is a key challenge towards effective emissions management. An inversion analysis from the INdianapolis FLUX experiment (INFLUX) project, as the first of its kind, has achieved a top-down emission estimate for a single city using CO2 data collected by the dense tower network deployed across the city. However, city-level emission data, used as a priori emissions, are also a key component in the atmospheric inversion framework. Currently, fine-grained emission inventories (EIs) able to resolve GHG city emissions at high spatial resolution, are only available for few major cities across the globe. Following the INFLUX inversion case with a global 1x1 km ODIAC fossil fuel CO2 emission dataset, we further improved the ODIAC emission field and examined its utility as a prior for the city scale inversion. We disaggregated the 1x1 km ODIAC non-point source emissions using geospatial datasets such as the global road network data and satellite-data driven surface imperviousness data to a 3030 m resolution. We assessed the impact of the improved emission field on the inversion result, relative to priors in previous studies (Hestia and ODIAC). The posterior total emission estimate (5.1 MtC/yr) remains statistically similar to the previous estimate with ODIAC (5.3 MtC/yr). However, the distribution of the flux corrections was very close to those of Hestia inversion and the model-observation mismatches were significantly reduced both in forward and inverse runs, even without hourly temporal changes in emissions. EIs reported by cities often do not have estimates of spatial extents. Thus, emission disaggregation is a required step when verifying those reported emissions using atmospheric models. Our approach offers gridded emission estimates for global cities that could serves as a prior for inversion, even without locally reported EIs in a systematic way to support city-level Measuring, Reporting and Verification (MRV) practice implementation

    The Effect of Self-Focused Attention and Mood on Appearance Dissatisfaction after Mirror-Gazing: An Experimental Study

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    Background and objectives: Self-focused attention is hypothesized to be a maintenance factor in body dysmorphic disorder (BDD). The aim of this study was to use an experimental paradigm to test this hypothesis by studying the effect of self-focused attention during mirror-gazing on appearance dissatisfaction. Methods: An experimental group design was used, in which 173 women were randomly allocated to one of three conditions before mirror-gazing for 2 min: (a) external focus of attention, (b) self-focus of attention, and (c) self-focus of attention with a negative mood induction. Results: After mirror-gazing, participants across all groups rated themselves as being more dissatisfied with their appearance. In both the self-focus conditions, there was an increase in sadness from pre to post mirror gazing, and there was a significant difference in focus of attention for participants in the self-focused, mood-induced group from pre to post manipulation, suggesting mood induction had more of an effect than focus of attention. Limitations: (1) there was no condition involving an external focus with a negative mood induction, and (2) due to the level of information provided to patients on the nature of the task, we cannot rule out demand characteristics as an influencing factor on our results. Conclusions: Self-focused attention during mirror-gazing may act indirectly to increase appearance dissatisfaction via the effect of negative mood. Further studies are required to establish the relative contribution of self-focused attention and negative mood to increases in appearance dissatisfaction as a function of mirror-gazing

    Airborne Measurements in Support of the NASA Atmospheric Carbon and Transport - America (ACT-America) Mission

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    NASA announced the research opportunity Earth Venture Suborbital -2 (EVS-2) mission in support of the NASA's science strategic goals and objectives in 2013. Penn State University, NASA Langley Research Center (LaRC), and other academic institutions, government agencies, and industrial companies together formulated and proposed the Atmospheric Carbon and Transport -America (ACT -America) suborbital mission, which was subsequently selected for implementation. The airborne measurements that are part of ACT-America will provide a unique set of remote and in-situ measurements of CO2 over North America at spatial and temporal scales not previously available to the science community and this will greatly enhance our understanding of the carbon cycle. ACT -America will consist of five airborne campaigns, covering all four seasons, to measure regional atmospheric carbon distributions and to evaluate the accuracy of atmospheric transport models used to assess carbon sinks and sources under fair and stormy weather conditions. This coordinated mission will measure atmospheric carbon in the three most important regions of the continental US carbon balance: Northeast, Midwest, and South. Data will be collected using 2 airborne platforms (NASA Wallops' C-130 and NASA Langley's B-200) with both in-situ and lidar instruments, along with instrumented ground towers and under flights of the Orbiting Carbon Observatory (OCO-2) satellite. This presentation provides an overview of the ACT-America instruments, with particular emphasis on the airborne CO2and backscatter lidars, and the, rationale, approach, and anticipated results from this mission

    The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements

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    The objective of the Indianapolis Flux Experiment (INFLUX) is to develop, evaluate and improve methods for measuring greenhouse gas (GHG) emissions from cities. INFLUX’s scientific objectives are to quantify CO2 and CH4 emission rates at 1 km2 resolution with a 10% or better accuracy and precision, to determine whole-city emissions with similar skill, and to achieve high (weekly or finer) temporal resolution at both spatial resolutions. The experiment employs atmospheric GHG measurements from both towers and aircraft, atmospheric transport observations and models, and activity-based inventory products to quantify urban GHG emissions. Multiple, independent methods for estimating urban emissions are a central facet of our experimental design. INFLUX was initiated in 2010 and measurements and analyses are ongoing. To date we have quantified urban atmospheric GHG enhancements using aircraft and towers with measurements collected over multiple years, and have estimated whole-city CO2 and CH4 emissions using aircraft and tower GHG measurements, and inventory methods. Significant differences exist across methods; these differences have not yet been resolved; research to reduce uncertainties and reconcile these differences is underway. Sectorally- and spatially-resolved flux estimates, and detection of changes of fluxes over time, are also active research topics. Major challenges include developing methods for distinguishing anthropogenic from biogenic CO2 fluxes, improving our ability to interpret atmospheric GHG measurements close to urban GHG sources and across a broader range of atmospheric stability conditions, and quantifying uncertainties in inventory data products. INFLUX data and tools are intended to serve as an open resource and test bed for future investigations. Well-documented, public archival of data and methods is under development in support of this objective

    Adapting a Program to Inform African American and Hispanic American Women About Cancer Clinical Trials

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    The dearth of evidence-based clinical trial education programs may contribute to the underrepresentation of African American and Hispanic American women in cancer research studies. This study used focus group-derived data from 80 women distributed among eight Spanish- and English-language focus groups. These data guided the researchers’ adaptation and refinement of the National Cancer Institute’s various clinical trials education programs into a program that was specifically focused on meeting the information needs of minority women and addressing the barriers to study participation that they perceived. A “sisterhood” theme was adopted and woven throughout the presentation
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