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TORY PRIDE AND PREJUDICE is an authoritative but highly accessible account of the Conservative Party's social attitudes from the 1950s to the present day, with a particular focus on homosexual law reform and equal rights for LGBT citizens. Presented in the context of contemporary social and political developments, it draws upon extensive primary research and exclusive interviews to chart the party's progress from a stubborn unwillingness to decriminalise homosexuality in the 1950s and 1960s, via tacit acceptance in the 1970s and Section 28 in the 1980s and 1990s, to the current Conservative-Li

Increasing opiate use among women of reproductive age has led to a rise in adverse pregnancy outcomes, including neonatal abstinence syndrome (NAS). Recent studies have documented the increased incidence of NAS, but subsequent impact on the chain of organizations within the social service system remains unexplored. In this article, we begin to estimate the reach of this issue by assessing the labor costs of caring for NAS infants within the Massachusetts Department of Children and Families (MA DCF). Based on a process map of services, we modeled social service hours using encounter-level hospital data as inputs. In this manner, we estimate that MA DCF professionals now devote more than 10,000 hours per month to this single problem. As opiate addiction increases across America, substantial additional investment in social service providers, foster care, Early Intervention Programs, and other family services will be required.

Spatial data are playing an increasingly important role in watershed science and management. Large investments have been made by government agencies to provide nationally-available spatial databases; however, their relevance and suitability for local watershed applications is largely unscrutinized. We investigated how goodness of fit and predictive accuracy of total phosphorus (TP) concentration models developed from nationally-available spatial data could be improved by including local watershed-specific data in the East Fork of the Little Miami River, Ohio, a 1290 km2 watershed. We also determined whether a spatial stream network (SSN) modeling approach improved on multiple linear regression (nonspatial) models. Goodness of fit and predictive accuracy were highest for the SSN model that included local covariates, and lowest for the nonspatial model developed from national data. Septic systems and point source TP loads were significant covariates in the local models. These local data not only improved the models but enabled a more explicit interpretation of the processes affecting TP concentrations than more generic national covariates. The results suggest that SSN modeling greatly improves prediction and should be applied when using national covariates. Including local covariates further increases the accuracy of TP predictions throughout the studied watershed; such variables should be included in future national databases, particularly the locations of septic systems.