Many Uninsured Children Qualify for Medi-Cal or Healthy Families

Examines the public health insurance eligibility of children in California who did not have health insurance coverage for some or all of the year in 2002, to highlight the geographic variations in children's uninsured eligibility rates

A Group-Based Yule Model for Bipartite Author-Paper Networks

This paper presents a novel model for author-paper networks, which is based on the assumption that authors are organized into groups and that, for each research topic, the number of papers published by a group is based on a success-breeds-success model. Collaboration between groups is modeled as random invitations from a group to an outside member. To analyze the model, a number of different metrics that can be obtained in author-paper networks were extracted. A simulation example shows that this model can effectively mimic the behavior of a real-world author-paper network, extracted from a collection of 900 journal papers in the field of complex networks.Comment: 13 pages (preprint format), 7 figure

Narrowing of the Upwelling Branch of the Brewer-Dobson Circulation and Hadley Cell in Chemistry-Climate Model Simulations of the 21st Century

Changes in the width of the upwelling branch of the Brewer-Dobson circulation and Hadley cell in the 21st Century are investigated using simulations from a coupled chemistry-climate model. In these model simulations the tropical upwelling region narrows in the troposphere and lower stratosphere. The narrowing of the Brewer-Dobson circulation is caused by an equatorward shift of Rossby wave critical latitudes and Eliassen-Palm flux convergence in the subtropical lower stratosphere. In the troposphere, the model projects an expansion of the Hadley cell's poleward boundary, but a narrowing of the Hadley rising branch. Model results suggest that the narrowing of the Hadley cell ascent is also eddy-driven

Network robustness and fragility: Percolation on random graphs

Recent work on the internet, social networks, and the power grid has addressed the resilience of these networks to either random or targeted deletion of network nodes. Such deletions include, for example, the failure of internet routers or power transmission lines. Percolation models on random graphs provide a simple representation of this process, but have typically been limited to graphs with Poisson degree distribution at their vertices. Such graphs are quite unlike real world networks, which often possess power-law or other highly skewed degree distributions. In this paper we study percolation on graphs with completely general degree distribution, giving exact solutions for a variety of cases, including site percolation, bond percolation, and models in which occupation probabilities depend on vertex degree. We discuss the application of our theory to the understanding of network resilience.Comment: 4 pages, 2 figure

Improving Fermi Orbit Determination and Prediction in an Uncertain Atmospheric Drag Environment

Orbit determination and prediction of the Fermi Gamma-ray Space Telescope trajectory is strongly impacted by the unpredictability and variability of atmospheric density and the spacecraft's ballistic coefficient. Operationally, Global Positioning System point solutions are processed with an extended Kalman filter for orbit determination, and predictions are generated for conjunction assessment with secondary objects. When these predictions are compared to Joint Space Operations Center radar-based solutions, the close approach distance between the two predictions can greatly differ ahead of the conjunction. This work explores strategies for improving prediction accuracy and helps to explain the prediction disparities. Namely, a tuning analysis is performed to determine atmospheric drag modeling and filter parameters that can improve orbit determination as well as prediction accuracy. A 45% improvement in three-day prediction accuracy is realized by tuning the ballistic coefficient and atmospheric density stochastic models, measurement frequency, and other modeling and filter parameters

CANDELS: The Contribution of the Observed Galaxy Population to Cosmic Reionization

We present measurements of the specific ultraviolet luminosity density from a sample of 483 galaxies at 6<z<8. These galaxies were selected from new deep near-infrared HST imaging from the CANDELS, HUDF09 and ERS programs. In contrast to the majority of previous analyses, which assume that the distribution of galaxy ultraviolet (UV) luminosities follows a Schechter distribution, and that the distribution continues to luminosities far below our observable limit, we investigate the contribution to reionization from galaxies which we can observe, free from these assumptions. We find that the observable population of galaxies can sustain a fully reionized IGM at z=6, if the average ionizing photon escape fraction (f_esc) is ~30%. A number of previous studies have measured UV luminosity densities at these redshifts that vary by 5X, with many concluding that galaxies could not complete reionization by z=6 unless a large population of galaxies fainter than the detection limit were invoked, or extremely high values of f_esc were present. The observed UV luminosity density from our observed galaxy samples at z=7-8 is not sufficient to maintain a fully reionized IGM unless f_esc>50%. Combining our observations with constraints on the emission rate of ionizing photons from Ly-alpha forest observations at z=6, we can constrain f_esc<34% (2-sigma) if the observed galaxies are the only contributors to reionization, or <13% (2-sigma) if the luminosity function extends to M_UV = -13. These escape fractions are sufficient to complete reionization by z=6. These constraints imply that the volume ionized fraction of the IGM becomes less than unity at z>7, consistent with a number of complementary reionization probes. If faint galaxies dominate reionization, future JWST observations will probe deep enough to see them, providing an indirect constraint on the ionizing photon escape fraction [abridged].Comment: 16 pages, 7 figures, Submitted to the Astrophysical Journa

Recovery of the Disrupted Quasi-Biennial Oscillation

There occurred a unique and significant disruption of the Quasi-Biennial Oscillation (QBO) during the Northern Hemisphere winter of 2015-16. Here we document the return of the QBO to its normal downward phase speed and period based on Singapore soundings, MERRA-2 re-analysis (Modern Era Retrospective Reanalysis for Research and Applications), and a simple QBO model. Daily averaged zonal winds from 100-10 hPa are used to characterized the behavior of the QBO's amplitude and phase as seen in the first two EOFs (Empirical Orthogonal Functions). These EOFs capture the QBO structure and evolution during the pre-disruption, disruption, and post-disruption times. Results show that the amplitude and phase returned to normal by June 2016, however the post-disruption QBO phase was delayed relative to the pre-disruption phase by four tenths of a QBO cycle (~11 months). A rapid, seasonal, phase shift of this magnitude is shown to be unique in the QBO observational record

Phytotechnologies - Preventing Exposures, Improving Public Health

Phytotechnologies Have Potential to Reduce the Amount or Toxicity of Deleterious Chemicals and Agents, and Thereby, Can Reduce Human Exposures to Hazardous Substances. as Such, Phytotechnologies Are Tools for Primary Prevention in Public Health. Recent Research Demonstrates Phytotechnologies Can Be Uniquely Tailored for Effective Exposure Prevention in a Variety of Applications. in Addition to Exposure Prevention, Plants Can Be Used as Sensors to Identify Environmental Contamination and Potential Exposures. in This Paper, We Have Presented Applications and Research Developments in a Framework to Illustrate How Phytotechnologies Can Meet Basic Public Health Needs for Access to Clean Water, Air, and Food. Because Communities Can Often Integrate Plant-Based Technologies at Minimal Cost and with Low Infrastructure Needs, the Use of These Technologies Can Be Applied Broadly to Minimize Potential Contaminant Exposure and Improve Environmental Quality. These Natural Treatment Systems Also Provide Valuable Ecosystem Services to Communities and Society. in the Future, Integrating and Coordinating Phytotechnology Activities with Public Health Research Will Allow Technology Development Focused on Prevention of Environmental Exposures to Toxic Compounds. Hence, Phytotechnologies May Provide Sustainable Solutions to Environmental Exposure Challenges, Improving Public Health and Potentially Reducing the Burden of Disease. © 2013 Copyright Taylor and Francis Group, LLC

Random Geometric Graphs

We analyse graphs in which each vertex is assigned random coordinates in a geometric space of arbitrary dimensionality and only edges between adjacent points are present. The critical connectivity is found numerically by examining the size of the largest cluster. We derive an analytical expression for the cluster coefficient which shows that the graphs are distinctly different from standard random graphs, even for infinite dimensionality. Insights relevant for graph bi-partitioning are included.Comment: 16 pages, 10 figures. Minor changes. Added reference