Effects of Participation in the WIC Food Assistance Program on Children’s Health and Development: Evidence from NLSY Children

This study investigates the effects of maternal participation in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) on birth weight, motor and social skills, and temperament for a national sample of children born between 1990 and 1996 to women participating in the National Longitudinal Survey of Youth. Sibling fixed effect models are used to account for persistent differences in difficult to measure characteristics of mothers that affect participation in the program. Results indicate that prenatal WIC participation has positive effects on infant birth weight. Fixed effect, but not OLS, estimates suggest that prenatal WIC participation is associated with more positive child temperament.

School Effectiveness Framework pilots: an evaluation (research document)

"This report looks at the pilot to introduce the School Effectiveness Framework in schools in Wales. The School Effectiveness Framework (SEF) is an ambitious Welsh Assembly Government (WAG) programme that aims to raise attainment, to close the gap in attainment and improve children and young people’s well-being (WAG, 2008a). It has been developed through three phases and this external evaluation focuses upon the second phase, in which school pilot programmes were established in each of the four regional consortia (Central South Wales, North Wales, South East Wales and swamwac)..." - introduction

Comparing Antonovsky's sense of coherence scale across three UK post-industrial cities

Objectives: High levels of ‘excess’ mortality (ie, that seemingly not explained by deprivation) have been shown for Scotland compared to England and Wales and, especially, for its largest city, Glasgow, compared to the similarly deprived English cities of Liverpool and Manchester. It has been suggested that this excess may be related to differences in ‘Sense of Coherence’ (SoC) between the populations. The aim of this study was to ascertain whether levels of SoC differed between these cities and whether, therefore, this could be a plausible explanation for the ‘excess’. Setting: Three post-industrial UK cities: Glasgow, Liverpool and Manchester. Participants: A representative sample of more than 3700 adults (over 1200 in each city). Primary and secondary outcome measures: SoC was measured using Antonovsky's 13-item scale (SOC-13). Multivariate linear regression was used to compare SoC between the cities while controlling for characteristics (age, gender, SES etc) of the samples. Additional modelling explored whether differences in SoC moderated city differences in levels of self-assessed health (SAH). Results: SoC was higher, not lower, among the Glasgow sample. Fully adjusted mean SoC scores for residents of Liverpool and Manchester were, respectively, 5.1 (−5.1 (95% CI −6.0 to −4.1)) and 8.1 (−8.1 (−9.1 to −7.2)) lower than those in Glasgow. The additional modelling confirmed the relationship between SoC and SAH: a 1 unit increase in SoC predicted approximately 3% lower likelihood of reporting bad/very bad health (OR=0.97 (95% CI 0.96 to 0.98)): given the slightly worse SAH in Glasgow, this resulted in slightly lower odds of reporting bad/very bad health for the Liverpool and Manchester samples compared to Glasgow. Conclusions: The reasons for the high levels of ‘excess’ mortality seen in Scotland and particularly Glasgow remain unclear. However, on the basis of these analyses, it appears unlikely that a low SoC provides any explanation

Gravitational-Wave Detection using Multivariate Analysis

Searches for gravitational-wave bursts (transient signals, typically of unknown waveform) require identification of weak signals in background detector noise. The sensitivity of such searches is often critically limited by non-Gaussian noise fluctuations which are difficult to distinguish from real signals, posing a key problem for transient gravitational-wave astronomy. Current noise rejection tests are based on the analysis of a relatively small number of measured properties of the candidate signal, typically correlations between detectors. Multivariate analysis (MVA) techniques probe the full space of measured properties of events in an attempt to maximise the power to accurately classify events as signal or background. This is done by taking samples of known background events and (simulated) signal events to train the MVA classifier, which can then be applied to classify events of unknown type. We apply the boosted decision tree (BDT) MVA technique to the problem of detecting gravitational-wave bursts associated with gamma-ray bursts. We find that BDTs are able to increase the sensitive distance reach of the search by as much as 50%, corresponding to a factor of ~3 increase in sensitive volume. This improvement is robust against trigger sky position, large sky localisation error, poor data quality, and the simulated signal waveforms that are used. Critically, we find that the BDT analysis is able to detect signals that have different morphologies to those used in the classifier training and that this improvement extends to false alarm probabilities beyond the 3{\sigma} significance level. These findings indicate that MVA techniques may be used for the robust detection of gravitational-wave bursts with a priori unknown waveform.Comment: 14 pages, 12 figure