4,681 research outputs found
Low-power transistorized circuit provides staircase waveform
A low input power transistorized circuit is used to generate a staircase waveform of high step uniformity. Other characteristics are low step droop, fast transition time, and no feedback
Cross-Border Issues in the Regulation of Charities: Experiences from the UK and Ireland
Drawing on the specific experiences of the three authors across the jurisdictions of England and Wales, Scotland, Northern Ireland, the Republic of Ireland, this article outlines the new legal-regulatory framework for charities in each jurisdiction, providing an overview of their respective treatments of external charities (i.e. non-domestic charities operating in a host jurisdcition) before assessing the operational challenges posted by these regimes for such cross-border charities. It shows that the treatment of external charities across the four jurisdictions in not the product of a fully coordinated and coherent joint approach by the four sets of legislators. The article concludeds by offering some preliminary recommendations intended to address the burdens caused by these overlapping regulatory systems
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Polygenic risk scores in imaging genetics: Usefulness and applications
Genetic factors account for up to 80% of the liability for schizophrenia and bipolar disorder. Genome-wide association studies (GWAS) have successfully identified several single nucleotide polymorphisms (SNPs) and genes associated with increased risk for both disorders. Single SNP analyses alone do not address the overall genomic or polygenic architecture of psychiatric disorders as the amount of phenotypic variation explained by each GWAS-supported SNP is small whereas the number of SNPs/regions underlying risk for illness is thought to be very large. The polygenic risk score models the aggregate effect of alleles associated with disease status present in each individual and allows us to utilise the power of large GWAS to be applied robustly in small samples. Here we make the case that risk prediction, intervention and personalised medicine can only benefit with the inclusion of polygenic risk scores in imaging genetics research
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