TRUSTS-CHARITABLE TRUSTS-EFFECT OF NATIONALIZATION ACT ON GIFTS TO ENGLISH HOSPITALS

Complainant held property under a trust created by a Rhode Island will, the validity of which had previously been determined by the Rhode Island court. Respondent hospitals were remainder beneficiaries of the trust, the gifts to them being subject to certain limitations on their use. Respondent churches were named in the trust deed as alternative legatees in case any of my preceding gifts, specially my gifts to Public purposes, should fail .... The remainder interests vested, and partial distribution of the corpus was made in 1939. In 1946 the National Health Service Act was passed in Great Britain which nationalized all hospitals, including respondents, and vested all property in which they had any beneficial interests in the Minister of Health, or a governing board under his control. The property was to vest free of all trusts, but trust funds were to be used for stated purposes as far as practicable. In an action by the trustee for instructions, held, the gifts to the English hospitals failed by reason of the Health Act, and vested in the respondent churches as alternative legatees. The naming of alternative legatees precluded cy pres performance. Pennsylvania Co. for Banking and Trusts v. Board of Governors of London Hospital, CR.I. 1951) 83 A. (2d) 881

The 'knowledge politics' of democratic peace theory

How do academic ideas influence US foreign policy, under what conditions and with what consequences? This article traces the rise, ‘securitisation’ and political consequences of democratic peace theory (DPT) in the United States by exploring the work of Doyle, Diamond and Fukuyama. Ideas influence US foreign policy under different circumstances, but are most likely to do either during and after crises when the policy environment permits ‘new thinking’, or when these ideas have been developed through state-connected elite knowledge networks, or when they are (or appear paradigmatically congenial to) foreign policymakers’ mindsets, or, finally, when they become institutionally-embedded. The appropriation of DPT by foreign policymakers has categorised the world into antagonistic blocs – democratic/non-democratic zones of peace/turmoil – as the corollary to a renewed American mission to make the world ‘safer’ through ‘democracy’ promotion. The roles of networked organic intellectuals – in universities and think tanks, for instance – were particularly important in elevating DPT from the academy to national security managers

Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb−1 of √ s = 8 TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT > 120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between Emiss T > 150 GeV and Emiss T > 700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. The results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presente

A statistical framework for cross-tissue transcriptome-wide association analysis

Transcriptome-wide association analysis is a powerful approach to studying the genetic architecture of complex traits. A key component of this approach is to build a model to impute gene expression levels from genotypes by using samples with matched genotypes and gene expression data in a given tissue. However, it is challenging to develop robust and accurate imputation models with a limited sample size for any single tissue. Here, we first introduce a multi-task learning method to jointly impute gene expression in 44 human tissues. Compared with single-tissue methods, our approach achieved an average of 39% improvement in imputation accuracy and generated effective imputation models for an average of 120% more genes. We describe a summary-statistic-based testing framework that combines multiple single-tissue associations into a powerful metric to quantify the overall gene–trait association. We applied our method, called UTMOST (unified test for molecular signatures), to multiple genome-wide-association results and demonstrate its advantages over single-tissue strategies