A Shift Selection Strategy for Parallel Shift-invert Spectrum Slicing in Symmetric Self-consistent Eigenvalue Computation

© 2020 ACM. The central importance of large-scale eigenvalue problems in scientific computation necessitates the development of massively parallel algorithms for their solution. Recent advances in dense numerical linear algebra have enabled the routine treatment of eigenvalue problems with dimensions on the order of hundreds of thousands on the world's largest supercomputers. In cases where dense treatments are not feasible, Krylov subspace methods offer an attractive alternative due to the fact that they do not require storage of the problem matrices. However, demonstration of scalability of either of these classes of eigenvalue algorithms on computing architectures capable of expressing massive parallelism is non-trivial due to communication requirements and serial bottlenecks, respectively. In this work, we introduce the SISLICE method: a parallel shift-invert algorithm for the solution of the symmetric self-consistent field (SCF) eigenvalue problem. The SISLICE method drastically reduces the communication requirement of current parallel shift-invert eigenvalue algorithms through various shift selection and migration techniques based on density of states estimation and k-means clustering, respectively. This work demonstrates the robustness and parallel performance of the SISLICE method on a representative set of SCF eigenvalue problems and outlines research directions that will be explored in future work

Jules Feiffer’s Tantrum at the End of Narcissism’s Decade

This is the author accepted manuscript. The final version is available from Johns Hopkins University Press via the DOI in this record.The author gratefully acknowledges the financial support of the AHRC

The Strange Case of Byron Preiss Visual Publications

This is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this record.Between 1976 and 1979 Byron Preiss operated as a book packager specializing in graphic novels, bringing comics creators together on original stories and licensed properties and delivering the finished product to publishing houses. Far from being praised for his efforts, Preiss was attacked by fans and comics professionals for betraying the very medium he professed to uplift. This article explains the industrial shifts behind the rise of Byron Preiss Visual Publications and book-format comics, as well as accounting for the hostility directed against Preiss, a level of vitriol that increased after his collaborators on Empire (1978) expressed their dismay at the changes he made to the graphic novel before publication.The research underpinning this article was generously supported by the Arts and Humanities Research Council

Parameter uncertainty in forecast recalibration

This is the author accepted manuscript. The final version is available from Wiley via the DOI in this record.Ensemble forecasts of weather and climate are subject to systematic biases in the ensemble mean and variance, leading to inaccurate estimates of the forecast mean and variance. To address these biases, ensemble forecasts are post-processed using statistical recalibration frameworks. These frameworks often specify parametric probability distributions for the verifying observations. A common choice is the Normal distribution with mean and variance specified by linear functions of the ensemble mean and variance. The parameters of the recalibration framework are estimated from historical archives of forecasts and verifying observations. Often there are relatively few forecasts and observations available for parameter estimation, and so the fitted parameters are also subject to uncertainty. This artefact is usually ignored. This study reviews analytic results that account for parameter uncertainty in the widely used Model Output Statistics recalibration framework. The predictive bootstrap is used to approximate the parameter uncertainty by resampling in more general frameworks such as Non-homogeneous Gaussian Regression. Forecasts on daily, seasonal and annual time scales are used to demonstrate that accounting for parameter uncertainty in the recalibrated predictive distributions leads to probability forecasts that are more skilful and reliable than those in which parameter uncertainty is ignored. The improvements are attributed to more reliable tail probabilities of the recalibrated forecast distributions.Stefan Siegert was supported by the European Union Programme FP7/2007–2013 under grant agreement 3038378 (SPECS). Philip Sansom was supported by a grant from the National Oceanic and Atmospheric Administration (NOAA) NA12OAR4310086

Art Spiegelman’s ‘Little Signs of Passion’ and the Emergence of Hard-Core Pornographic Feature Film

This is the author accepted manuscript. The final version is available from Taylor & Francis (Routledge) via the DOI in this record.Art Spiegelman’s underground comic ‘Little Signs of Passion’ (1974) juxtaposes romance comics against hard-core pornographic feature films. In the early 1970s pornography was defended as an expression of moral and artistic freedom but this comic shows that hardcore’s narrative conventions were as standardised and commercially driven as anything in the romance comics. Spiegelman’s text reveals that, despite the diversification of porn film audiences in the early 1970s, the viewing pleasures these films offered remained heavily gendered. And, unlike other underground parodies of the romance comics, Spiegelman does not deride that genre’s conventions but admires their enduring power.This work was supported by the Arts and Humanities Research Council under Grant AH/L00965X/1 and the Eccles Centre at the British Library

Diffusion flame attachment and flame front propagation along mixing layers

No tiene resume

Reconstruction of 3D Surface Maps from Anterior Segment Optical Coherence Tomography Images Using Graph Theory and Genetic Algorithms

Automatic segmentation of anterior segment optical coherence tomography images provides an important tool to aid management of ocular diseases. Previous studies have mainly focused on 2D segmentation of these images. A novel technique capable of producing 3D maps of the anterior segment is presented here. This method uses graph theory and dynamic programming with shape constraint to segment the anterior and posterior surfaces in individual 2D images. Genetic algorithms are then used to align 2D images to produce a full 3D representation of the anterior segment. In order to validate the results of the 2D segmentation comparison is made to manual segmentation over a set of 39 images. For the 3D reconstruction a data set of 17 eyes is used. These have each been imaged twice so a repeatability measurement can be made. Good agreement was found with manual segmentation for the 2D segmentation method achieving a Dice similarity coefficient of 0.96, which is comparable to the inter-observer agreement. Good repeatability of results was demonstrated with the 3D registration method. A mean difference of 1.77 pixels was found between the anterior surfaces found from repeated scans of the same eye

Primary Motor Cortex Excitability Is Modulated during the Mental Simulation of Hand Movement

Special issue: Motor cognitio

Two weeks of watermelon juice supplementation improves nitric oxide bioavailability but not endurance exercise performance in humans

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.This study tested the hypothesis that watermelon juice supplementation would improve nitric oxide bioavailability and exercise performance. Eight healthy recreationally-active adult males reported to the laboratory on two occasions for initial testing without dietary supplementation (control condition). Thereafter, participants were randomly assigned, in a cross-over experimental design, to receive 16 days of supplementation with 300 mL·day(-1) of a watermelon juice concentrate, which provided ∼3.4 g l-citrulline·day(-1) and an apple juice concentrate as a placebo. Participants reported to the laboratory on days 14 and 16 of supplementation to assess the effects of the interventions on blood pressure, plasma [l-citrulline], plasma [l-arginine], plasma [nitrite], muscle oxygenation and time-to-exhaustion during severe-intensity exercise. Compared to control and placebo, plasma [l-citrulline] (29 ± 4, 22 ± 6 and 101 ± 23 μM), [l-arginine] (74 ± 9, 67 ± 13 and 116 ± 9 μM) and [nitrite] (102 ± 29, 106 ± 21 and 201 ± 106 nM) were higher after watermelon juice supplementation (P < 0.01). However, systolic blood pressure was higher in the watermelon juice (130 ± 11) and placebo (131 ± 9) conditions compared to the control condition (124 ± 8 mmHg; P < 0.05). The skeletal muscle oxygenation index during moderate-intensity exercise was greater in the watermelon juice condition than the placebo and control conditions (P < 0.05), but time-to-exhaustion during the severe-intensity exercise test (control: 478 ± 80, placebo: 539 ± 108, watermelon juice: 550 ± 143 s) was not significantly different between conditions (P < 0.05). In conclusion, while watermelon juice supplementation increased baseline plasma [nitrite] and improved muscle oxygenation during moderate-intensity exercise, it increased resting blood pressure and did not improve time-to-exhaustion during severe-intensity exercise. These findings do not support the use of watermelon juice supplementation as a nutritional intervention to lower blood pressure or improve endurance exercise performance in healthy adults