According to J.A.N. Lee in 1996, computer scientists “are reaching the stage of development where each new generation of participants is unaware both of their overall technological ancestry and the history of the development of their speciality, and have no past to build upon” [1, p.54]. A technically and historically accurate account, as attempted here, can help us, computer scientists, grasp ...

Common conceptions of the notions of role, relationship, and collaboration in object-oriented programming and related disciplines are briefly recalled and related to each other, working towards a view that allows it to fit them all together, eventually setting the cornerstones for the definition of a truly useful and widely accepted novel programming language construct.

We explore the holographic proposal involving spacetimes with linear dilaton asymptotics in three dimensions from a gravity perspective. The dual shares some properties symmetric product conformal field theory deformed by single-trace analogue of $T \overline{T}$ deformation. present solutions ten-dimensional supergravity which interpolate BTZ black holes interior to either spacetime near infin...

A bstract We analyse the $$ T\overline{T} T ¯ deformation of 2d CFTs in a special double-scaling limit, large central charge and small parameter. In particular, we derive closed formulae for product left right moving CFT characters on torus. It is shown that 1 /c cont...

Based on a meta-analysis, Redick and Lindsey (2013) found that complex span and n-back tasks show an average correlation of r = 0.20, and concluded that "complex span and n-back tasks cannot be used interchangeably as working memory measures in research applications" (p. 1102). Here, we comment on this conclusion from a psychometric perspective. In addition to construct variance, performance on...

Variance estimation is a fundamental problem in statistical modelling. In ultrahigh dimensional linear regression where the dimensionality is much larger than the sample size, traditional variance estimation techniques are not applicable. Recent advances in variable selection in ultrahigh dimensional linear regression make this problem accessible. One of the major problems in ultrahigh dimensio...