NMR quantum computing

Abstract:

Legislative amendment poses a conundrum: why do governments amend legislation that they only recently drafted? An effective method for quantifying amendments across a wide range of policy areas and legislatures would be valuable for answering such questions. Existing studies almost all rely on hand-counting and coding of amendments, methods which are laborious, necessarily subjective, and difficult to replicate. Using insights from bioinformatics (the study of genetic codes), we developed a streamlined method to quantify and visualise the amount of amendment. In an exploratory study of three parliamentary sessions since 2008, we found that UK legislation was considerably amended and lengthened during the parliamentary process. We discuss our results in the light of theories of information asymmetries between the government and the legislature.

Abstract:

We have developed a new type of superconducting synchronous rotating machine whose self-induction is cancelled out, with the intention of achieving a very high power-to-weight ratio including the weight of the cooling system. Magnetic cores are used to direct the magnetic field from permanent magnets on the rotors onto superconducting wires on the stator, and the reaction of the Lorenz force is used to drive the rotors. Cancellation of self-induction in the cores enables the elimination of core-losses and magnetic saturation, permitting the core mass to be reduced significantly, and also reducing ac losses in the superconducting wires. In this work a prototype prepared using 100 m of second generation high temperature superconductor (2G-HTS) wire is described, and its characteristics are measured and compared with a numerical simulation. We conclude that electrical rotating machines with power-to-weight ratios comparable to jet engines could be developed with 2G-HTS wire.

Abstract:

Reanalysis of the survey data sets of Lewandowsky, Oberauer, and Gignac (2013) and Lewandowsky, Gignac, and Oberauer (2013) indicates that the conclusions of those articles—that conspiracist ideation predicts skepticism regarding the reality of anthropogenic climate change—are not supported by the data. Nonlinear relationships were overlooked in both analyses, and this resulted in model misspecification. The authors used structural equation modeling (SEM) assuming linear relationships between the variables, and it is essential to test this assumption (Bentler and Chou, 1987, p. 86; Ullman, 2007, p. 683). In this Commentary, we show, using nonparametric local regression, that this assumption does not hold for the relationship between conspiracist ideation and views on climate science, the relationship that produced one of the central claims of both articles and the majority of the press interest (e.g., Corner, 2012; Pearlman, 2012).