scispace - formally typeset
Search or ask a question
Institution

University of Warwick

EducationCoventry, Warwickshire, United Kingdom
About: University of Warwick is a education organization based out in Coventry, Warwickshire, United Kingdom. It is known for research contribution in the topics: Population & White dwarf. The organization has 26212 authors who have published 77127 publications receiving 2666552 citations. The organization is also known as: Warwick University & The University of Warwick.


Papers
More filters
Book
06 Sep 2002
TL;DR: In this article, the authors present a true teaching text complete with pedagogical features to support learning, which will provide a rigorous yet accessible approach to the new area of knowledge management.
Abstract: From the Publisher: Designed as a true teaching text complete with pedagogical features to support learning, this book will provide a rigorous yet accessible approach to the new area of knowledge management. Based on empirical research rather than anecdotal evidence, the text is written specifically for a student audience rather than an academic one.

538 citations

Journal ArticleDOI
TL;DR: This review categorises data-driven battery health estimation methods according to their underlying models/algorithms and discusses their advantages and limitations, then focuses on challenges of real-time battery health management and discuss potential next-generation techniques.
Abstract: Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for durable electric vehicles. Early detection of inadequate performance facilitates timely maintenance of battery systems. This reduces operational costs and prevents accidents and malfunctions. Recent advancements in “Big Data” analytics and related statistical/computational tools raised interest in data-driven battery health estimation. Here, we will review these in view of their feasibility and cost-effectiveness in dealing with battery health in real-world applications. We categorise these methods according to their underlying models/algorithms and discuss their advantages and limitations. In the final section we focus on challenges of real-time battery health management and discuss potential next-generation techniques. We are confident that this review will inform commercial technology choices and academic research agendas alike, thus boosting progress in data-driven battery health estimation and prediction on all technology readiness levels.

538 citations

Journal ArticleDOI
05 Nov 2015-Nature
TL;DR: It is shown that ion channels conduct long-range electrical signals within bacterial biofilm communities through spatially propagating waves of potassium, which result from a positive feedback loop, in which a metabolic trigger induces release of intracellular potassium which depolarizes neighbouring cells.
Abstract: The study of bacterial ion channels has provided fundamental insights into the structural basis of neuronal signalling; however, the native role of ion channels in bacteria has remained elusive. Here we show that ion channels conduct long-range electrical signals within bacterial biofilm communities through spatially propagating waves of potassium. These waves result from a positive feedback loop, in which a metabolic trigger induces release of intracellular potassium, which in turn depolarizes neighbouring cells. Propagating through the biofilm, this wave of depolarization coordinates metabolic states among cells in the interior and periphery of the biofilm. Deletion of the potassium channel abolishes this response. As predicted by a mathematical model, we further show that spatial propagation can be hindered by specific genetic perturbations to potassium channel gating. Together, these results demonstrate a function for ion channels in bacterial biofilms, and provide a prokaryotic paradigm for active, long-range electrical signalling in cellular communities.

538 citations

Journal ArticleDOI
TL;DR: In this paper, a weak turbulence formalism for incompressible magnetohy-drodynamics was derived, where three-wave interactions lead to a system of kinetic equations for the spectral densities of energy and helicity.
Abstract: We derive a weak turbulence formalism for incompressible magnetohy- drodynamics. Three-wave interactions lead to a system of kinetic equations for the spectral densities of energy and helicity. The kinetic equations conserve energy in all wavevector planes normal to the applied magnetic eld B0 ^k. Numerically and analytically, we nd energy spectra E k n ? , such that n+ +n = 4, where E are the spectra of the Elsvariables z = v b in the two-dimensional case (kk = 0). The constants of the spectra are computed exactly and found to depend on the amount of correlation between the velocity and the magnetic eld. Comparison with several numerical simulations and models is also made.

537 citations

Journal ArticleDOI
TL;DR: The latest advances in the understanding of the biochemistry, physiology and therapeutics of nitrate, nitrite and NO were discussed during a recent 2-day meeting at the Nobel Forum, Karolinska Institutet in Stockholm.
Abstract: Inorganic nitrate and nitrite from endogenous or dietary sources are metabolized in vivo to nitric oxide (NO) and other bioactive nitrogen oxides. The nitrate-nitrite-NO pathway is emerging as an important mediator of blood flow regulation, cell signaling, energetics and tissue responses to hypoxia. The latest advances in our understanding of the biochemistry, physiology and therapeutics of nitrate, nitrite and NO were discussed during a recent 2-day meeting at the Nobel Forum, Karolinska Institutet in Stockholm.

536 citations


Authors

Showing all 26659 results

NameH-indexPapersCitations
David Miller2032573204840
Daniel R. Weinberger177879128450
Kay-Tee Khaw1741389138782
Joseph E. Stiglitz1641142152469
Edmund T. Rolls15361277928
Thomas J. Smith1401775113919
Tim Jones135131491422
Ian Ford13467885769
Paul Harrison133140080539
Sinead Farrington133142291099
Peter Hall132164085019
Paul Brennan132122172748
G. T. Jones13186475491
Peter Simmonds13182362953
Tim Martin12987882390
Network Information
Related Institutions (5)
University of Manchester
168K papers, 6.4M citations

95% related

University of Oxford
258.1K papers, 12.9M citations

95% related

University of Bristol
113.1K papers, 4.9M citations

94% related

University of Cambridge
282.2K papers, 14.4M citations

94% related

University College London
210.6K papers, 9.8M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023195
2022734
20214,816
20204,927
20194,602
20184,132