The Impact of Guided Pretend Play on Preschool Children\u27s Theory of Mind

Theory of mind is a cognitive skill that allows us to recognize that others hold representations of the world that are separate from our own. This capability is measured in children through the false belief task, which most cannot successfully complete until age four. This finding has been taken to mean that children younger than four have difficulty reasoning about the perspectives of other people, a surprising claim given that at age two they begin to partake in pretend play that appears to involve adopting the persona of invented characters. The current study investigated whether pretend play could act as a vehicle of theory of mind development leading to improved false belief performance in a short-term setting. Participants were 53 preschoolers (27 male, 26 female, MAGE = 4.13 years) who were randomly assigned to one of three play conditions. Children in the Pretend Play—False Belief condition participated in a pretend play session involving both perspective-taking and false belief scenarios, children in the Pretend Play—No False Belief condition participated in a pretend play session involving perspective-taking only, and children in the Control condition participated in guided non-pretend play. Participants in all conditions were administered a false belief post-test consisting of a change of location and appearance-reality task. Results did not produce a significant main effect of condition on false belief performance (X 2= 2.383, p = .304). Additional work is needed to determine whether pretend play can act as a vehicle of theory of mind development in other contexts

A Period Graph Throughput Estimator for Multiprocessor Systems

(Also cross-referenced as UMIACS-TR-2000-49

Impact of body mass index on posttransplant outcomes reexamined

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113771/1/lt24227.pd

Eye safe short range standoff aerosol cloud finder.

Because many solid objects, both stationary and mobile, will be present in an indoor environment, the design of an indoor aerosol cloud finding lidar (light detection and ranging) instrument presents a number of challenges. The cloud finder must be able to discriminate between these solid objects and aerosol clouds as small as 1-meter in depth in order to probe suspect clouds. While a near IR ({approx}1.5-{micro}m) laser is desirable for eye-safety, aerosol scattering cross sections are significantly lower in the near-IR than at visible or W wavelengths. The receiver must deal with a large dynamic range since the backscatter from solid object will be orders of magnitude larger than for aerosol clouds. Fast electronics with significant noise contributions will be required to obtain the necessary temporal resolution. We have developed a laboratory instrument to detect aerosol clouds in the presence of solid objects. In parallel, we have developed a lidar performance model for performing trade studies. Careful attention was paid to component details so that results obtained in this study could be applied towards the development of a practical instrument. The amplitude and temporal shape of the signal return are analyzed for discrimination of aerosol clouds in an indoor environment. We have assessed the feasibility and performance of candidate approaches for a fieldable instrument. With the near-IR PMT and a 1.5-{micro}m laser source providing 20-{micro}J pulses, we estimate a bio-aerosol detection limit of 3000 particles/l

Modeling Resolution of Resources Contention in Synchronous Data Flow Graphs

Synchronous Data Flow graphs are widely adopted in the designing of streaming applications, but were originally formulated to describe only how an application is partitioned and which data are exchanged among different tasks. Since Synchronous Data Flow graphs are often used to describe and evaluate complete design solutions, missing information (e.g., mapping, scheduling, etc.) has to be included in them by means of further actors and channels to obtain accurate evaluations. To address this issue preserving the simplicity of the representation, techniques that model data transfer delays by means of ad-hoc actors have been proposed, but they model independently each communication ignoring contentions. Moreover, they do not usually consider at all delays due to buffer contentions, potentially overestimating the throughput of a design solution. In this paper a technique to extend Synchronous Data Flow graphs by adding ad-hoc actors and channels to model resolution of resources contentions is proposed. The results show that the number of added actors and channels is limited but that they can significantly increase the Synchronous Data Flow graph accuracy

Exploring the Potential of Using Carbonyl Sulfide to Track the Urban Biosphere Signal

Unidad de excelencia María de Maeztu CEX2019-000940-MCities are implementing additional urban green as a means to capture CO and become more carbon neutral. However, cities are complex systems where anthropogenic and natural components of the CO budget interact with each other, and the ability to measure the efficacy of such measures is still not properly addressed. There is still a high degree of uncertainty in determining the contribution of the vegetation signal, which furthermore confounds the use of CO mole fraction measurements for inferring anthropogenic emissions of CO. Carbonyl sulfide (OCS) is a tracer of photosynthesis which can aid in constraining the biosphere signal. This study explores the potential of using OCS to track the urban biosphere signal. We used the Sulfur Transport and dEposition Model (STEM) to simulate the OCS concentrations and the Carnegie Ames Stanford Approach ecosystem model to simulate global CO fluxes over the Bay Area of San Francisco during March 2015. Two observation towers provided measurements of OCS and CO: The Sutro tower in San Francisco (upwind from the area of study providing background observations), and a tower located at Sandia National Laboratories in Livermore (downwind of the highly urbanized San Francisco region). Our results show that the STEM model works better under stable marine influence, and that the boundary layer height and entrainment are driving the diurnal changes in OCS and CO at the downwind Sandia site. However, the STEM model needs to better represent the transport and boundary layer variability, and improved estimates of gross primary productivity for characterizing the urban biosphere signal are needed

Assessing fossil fuel CO₂ emissions in California using atmospheric observations and models

Analysis systems incorporating atmospheric observations could provide a powerful tool for validating fossil fuel CO2 (ffCO2) emissions reported for individual regions, provided that fossil fuel sources can be separated from other CO2 sources or sinks and atmospheric transport can be accurately accounted for. We quantified ffCO2 by measuring radiocarbon (14C) in CO2, an accurate fossil-carbon tracer, at nine observation sites in California for three months in 2014–15. There is strong agreement between the measurements and ffCO2 simulated using a high-resolution atmospheric model and a spatiotemporally-resolved fossil fuel flux estimate. Inverse estimates of total in-state ffCO2 emissions are consistent with the California Air Resources Board's reported ffCO2 emissions, providing tentative validation of California's reported ffCO2 emissions in 2014–15. Continuing this prototype analysis system could provide critical independent evaluation of reported ffCO2 emissions and emissions reductions in California, and the system could be expanded to other, more data-poor regions

Assessing fossil fuel CO_2 emissions in California using atmospheric observations and models

Analysis systems incorporating atmospheric observations could provide a powerful tool for validating fossil fuel CO_2 (ffCO_2) emissions reported for individual regions, provided that fossil fuel sources can be separated from other CO_2 sources or sinks and atmospheric transport can be accurately accounted for. We quantified ffCO_2 by measuring radiocarbon (^(14)C) in CO_2, an accurate fossil-carbon tracer, at nine observation sites in California for three months in 2014–15. There is strong agreement between the measurements and ffCO_2 simulated using a high-resolution atmospheric model and a spatiotemporally-resolved fossil fuel flux estimate. Inverse estimates of total in-state ffCO_2 emissions are consistent with the California Air Resources Board's reported ffCO_2 emissions, providing tentative validation of California's reported ffCO_2 emissions in 2014–15. Continuing this prototype analysis system could provide critical independent evaluation of reported ffCO_2 emissions and emissions reductions in California, and the system could be expanded to other, more data-poor regions