Jacques Ellul's The Technological Society Re-Visited

Coleman reflects on Ellul's book 57 years after it was published

Observing IMBH-IMBH Binary Coalescences via Gravitational Radiation

Recent numerical simulations have suggested the possibility of forming double intermediate mass black holes (IMBHs) via the collisional runaway scenario in young dense star clusters. The two IMBHs formed would exchange into a common binary shortly after their birth, and quickly inspiral and merge. Since space-borne gravitational wave (GW) observatories such as LISA will be able to see the late phases of their inspiral out to several Gpc, and LIGO will be able to see the merger and ringdown out to similar distances, they represent potentially significant GW sources. In this Letter we estimate the rate at which LISA and LIGO will see their inspiral and merger in young star clusters, and discuss the information that can be extracted from the observations. We find that LISA will likely see tens of IMBH--IMBH inspirals per year, while advanced LIGO could see ~10 merger and ringdown events per year, with both rates strongly dependent on the distribution of cluster masses and densities.Comment: Accepted for publication in ApJL. Minor changes to reflect accepted version. 4 pages in emulateapj, 3 figure

WIC Improves Child Health and School Readiness

New research by Children's HealthWatch demonstrates that young children who participate in the Special Supplemental Nutrition program for Women, Infants, and Children (WIC) are more likely to be in excellent or good health and have a reduced risk of developmental delay. Investing in WIC supports the nutritional and health needs of young children during a critical window of brain and body growth.Progam improvements that decrease access barriers, provide the full amount of fruits and vegetables recommended by the Institute of Medicine, and accommodate working parents' schedules will help young children reach their full potential

Too Many Hurdles: Barriers to Receiving SNAP Put Childrens Health at Risk

Summary of Findings

Energy Insecurity is a Major Threat to Child Health

With the recession and this winter's harsh weather, many families are facing a choice between eating and heating. Research by Children's HealthWatch shows that young children whose families struggle to pay their utility bills ('energy insecure' families) are more likely to suffer a host of problems including food insecurity, poor health, hospitalizations and developmental delays.The Low Income Home Energy Assistance Program (LIHEAP), which provides low-income households with assistance in paying their utility bills, is effective at shielding young children from the harmful effects of energy insecurity.According to research by Children's HealthWatch, young children whose families received LIHEAP were less likely to be at risk for growth problems and had healthier weights for their age.By appropriating the maximum authorized funding for LIHEAP and ensuring that climate change legislation buffers vulnerable families and children from the harmful effects of higher energy prices, Congress will be taking important steps to protect children's health

Child Care Feeding Programs Support Young Children's Healthy Development

New research by Children's HealthWatch shows that toddlers from low-income families who receive meals from their child care provider - those likely to be receiving CACFP - are in better health, have decreased risk for hospitalization, and are at healthier heights and weights for their age than those whose have to bring meals from home. As the nation's only nutrition program for young children in child care, CACFP is a critical component of a comprehensive approach to child nutrition.Changes to CACFP that expand access, reduce barriers and ensure that child care providers have the resources they need to provide healthy meals are beneficial for young children's health, growth and development

LIHEAP Stabilizes Family Housing and Protects Children's Health

The heating and cooling season presents special challenges for our nation's low-income families. With limited resources, many are challenged to manage the seasonal spike in utility expenses, facing decisions about whether to pay the rent, keep the lights and heat on, or buy enough groceries to get through the end of the month. We know that each of these decisions will have significant implications for the health of their youngest children. Unfortunately, these tough choices are all too common this winter as the nation experiences increases in energy prices, unusually cold weather, and continued high unemployment

Boost to SNAP Benefits Protected Young Children's Health

The Great Recession has taken a significant toll on America's children. In 2010, 25 percent of children under age six were living in poverty, up from 21 percent in 2007

A spatial modeling approach for linguistic object data : analysing dialect sound variations across Great Britain

Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies (transcriptions) rather than acoustic recordings directly. We introduce novel statistical techniques to analyze geolocalized speech recordings and to explore the spatial variation of pronunciations continuously over the region of interest, as opposed to traditional isoglosses, which provide a discrete partition of the region. Data of this type require an explicit modeling of the variation in the mean and the covariance. Usual Euclidean metrics are not appropriate, and we therefore introduce the concept of d-covariance, which allows consistent estimation both in space and at individual locations. We then propose spatial smoothing for these objects which accounts for the possibly nonconvex geometry of the domain of interest. We apply the proposed method to data from the spoken part of the British National Corpus, deposited at the British Library, London, and we produce maps of the dialect variation over Great Britain. In addition, the methods allow for acoustic reconstruction across the domain of interest, allowing researchers to listen to the statistical analysis. Supplementary materials for this article are available online

Rejoinder for “A spatial modeling approach for linguistic object data : analysing dialect sound variations across Great Britain”

"Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”." Journal of the American Statistical Association, 114(527), pp. 1103–110