109 research outputs found
The immediate impact of the COVID-19 pandemic on motor neuron disease services and mortality in Scotland
Get PDFThe article The immediate impact of the COVID‑19 pandemic on motor neuron disease services and mortality in Scotland, written by Stella A. Glasmacher, Juan Larraz, Arpan R. Mehta, Patrick K. A. Kearns, Michael Wong, Judith Newton, Richard Davenport, George Gorrie, Ian Morrison, Javier Carod Artal, Siddharthan Chandran, Suvankar Pal and CARE-MND Consortium, was originally published online on 5 September 2020 with Open Access under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.</p
Not Available
No full textVersion: 1.0.0
Imports: utils, minimalRSD, stats
Published:2017-03-21
Author: Shwetank Lall [aut, cre], Arpan Bhowmik [ctb], Eldho Varghese [aut], Seema Jaggi [ctb], Cini Varghese [ctb]
Maintainer: Shwetank Lall
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: FMC citation info
In views: ExperimentalDesignAn R package to generate cost effective minimally changed run sequences for symmetrical as well as asymmetrical factorial designsNot Availabl
Art, Intuition, and Identity in Ramón y Cajal
Get PDFIn the history of neuroscience, Cajal stands tall. Many figures in the late 19th and early 20th centuries made major contributions to neuroscience-Sherrington, Ferrier, Jackson, Holmes, Adrian, and Békésy, to name a few. But in the public mind, Cajal is unique. His application of the Golgi method, with an array of histologic stains, unlocked a wealth of new knowledge on the structure and function of the brain. Here we argue that Cajal's success should not only be attributed to the importance of his scientific contributions but also to the artistic visual language that he created and to his pioneering self-branding, which exploited methods of the artist, including classical drawing and the new invention of photography. We argue that Cajal created his distinctive visual language and self-branding strategy by interweaving an ostensibly objective research product with an intimately subjective narrative about the brain and himself. His approach is evident in the use of photography, notably self-portraits, which furthered broad engagement initially inspired by his scientific drawings. Through his visual language, Cajal made an impact in art and culture far beyond the bounds of science, which has sustained his scientific legacy.</p
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Grey Matter Etymology and the neuron(e).
Get PDF‘Neuron’ or ‘neurone’? While it is often assumed that these different spellings reflect usage of American versus British English, there are also inconsistencies within these cultural boundaries. Mehta et al. review historical, etymological and linguistic evidence concerning the spelling of ‘neuron(e)’ and conclude that the only correct spelling is ‘neuron’
How does inflammation affect axonal excitability to mechanical stimulation of neurones in the rat pain pathway?
No full textDoes GI physiology support the rationale behind switching from oral rehydration solution to intravenous saline preparations in the management of children with acute severe diarrhea?
No full textThe hypoxia of high altitude causes restricted fetal growth in chick embryos with the extent of this effect depending on maternal altitudinal status
No full textInternational issues: on the localization of saintly neurology: a neurology elective in India.
No full textFrom Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems
Get PDFEstimating metrics such as the Mean Time To Failure (MTTF) or its inverse, the Failures-In-Time (FIT), is a central problem in reliability estimation of safety-critical systems. To this end, prior work in the real-time and embedded systems community has focused on bounding the probability of failures in a single iteration of the control loop, resulting in, for example, the worst-case probability of a message transmission error due to electromagnetic interference, or an upper bound on the probability of a skipped or an incorrect actuation. However, periodic systems, which can be found at the core of most safety-critical real-time systems, are routinely designed to be robust to a single fault or to occasional failures (case in point, control applications are usually robust to a few skipped or misbehaving control loop iterations). Thus, obtaining long-run reliability metrics like MTTF and FIT from single iteration estimates by calculating the time to first fault can be quite pessimistic. Instead, overall system failures for such systems are better characterized using multi-state models such as weakly-hard constraints. In this paper, we describe and empirically evaluate three orthogonal approaches, PMC, Mart, and SAp, for the sound estimation of system’s MTTF, starting from a periodic stochastic model characterizing the failure in a single iteration of a periodic system, and using weakly-hard constraints as a measure of system robustness. PMC and Mart are exact analyses based on Markov chain analysis and martingale theory, respectively, whereas SAp is a sound approximation based on numerical analysis. We evaluate these techniques empirically in terms of their accuracy and numerical precision, their expressiveness for different definitions of weakly-hard constraints, and their space and time complexities, which affect their scalability and applicability in different regions of the space of weakly-hard constraints
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