Institution
University of Bath
Education•Bath, Bath and North East Somerset, United Kingdom•
About: University of Bath is a education organization based out in Bath, Bath and North East Somerset, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 15830 authors who have published 39608 publications receiving 1358769 citations. The organization is also known as: Bath University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a simple analytical model is developed to calculate load factors associated with various collapse mechanisms of wall assemblies, and vulnerability functions are derived to quantify reduction in vulnerability associated with strengthening implementations for different typologies.
Abstract: In historic city centers the mitigation of seismic risk is dependent on the possibility of implementing strengthening programs. Given the cultural and economic value attached to the historic structures, however, interventions should be tailored to suit aesthetic and structural requirements of each building type, and provide sufficient reliability of performance in future earthquakes. A simple analytical model is developed to calculate load factors associated with various collapse mechanisms of wall assemblies, and vulnerability functions are derived. An application shows the capability of the procedure to quantify reduction in vulnerability associated with strengthening implementations for different typologies. [DOI: 10.1193/1.1599896]
344 citations
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TL;DR: This model indicates thatGene duplicates catalysing the same reaction are not more common for indispensable reactions, suggesting that the reason for their retention is not to provide compensation, and instead their presence is better explained by selection for high enzymatic flux.
Abstract: Under laboratory conditions 80% of yeast genes seem not to be essential for viability. This raises the question of what the mechanistic basis for dispensability is, and whether it is the result of selection for buffering or an incidental side product. Here we analyse these issues using an in silico flux model of the yeast metabolic network. The model correctly predicts the knockout fitness effects in 88% of the genes studied and in vivo fluxes. Dispensable genes might be important, but under conditions not yet examined in the laboratory. Our model indicates that this is the dominant explanation for apparent dispensability, accounting for 37-68% of dispensable genes, whereas 15-28% of them are compensated by a duplicate, and only 4-17% are buffered by metabolic network flux reorganization. For over one-half of those not important under nutrient-rich conditions, we can predict conditions when they will be important. As expected, such condition-specific genes have a more restricted phylogenetic distribution. Gene duplicates catalysing the same reaction are not more common for indispensable reactions, suggesting that the reason for their retention is not to provide compensation. Instead their presence is better explained by selection for high enzymatic flux.
344 citations
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TL;DR: The authors argue for the importance of including analyses of emotional and unconscious processes in the study of institutional work and develop a framework that integrates emotions and their connection to domination, and offer a typology of interactions between the emotional and cognitive antecedents of institutional maintenance, disruption, and creation.
Abstract: We argue for the importance of including analyses of emotional and unconscious processes in the study of institutional work. We develop a framework that integrates emotions and their connection to domination, and we offer a typology of interactions between the emotional and cognitive antecedents of institutional maintenance, disruption, and creation. We conclude by discussing the implications of paying closer attention to emotions for future institutional research, including questions regarding reproduction versus change, intentionality, and rationality.
343 citations
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TL;DR: Key molecular aspects of these eosinophil-derived granule proteins in terms of structure-function relationships are reviewed to advance understanding of their roles in eos inophil cell biology, molecular biology, and immunobiology in health and disease.
343 citations
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TL;DR: This work uses ultrafast 2D vibrational spectroscopy of methylammonium (MA) lead iodide to directly resolve the rotation of the organic cations within the MAPbI3 lattice and reveals two characteristic time constants of motion.
Abstract: The introduction of a mobile and polarized organic moiety as a cation in 3D lead-iodide perovskites brings fascinating optoelectronic properties to these materials. The extent and the time scales of the orientational mobility of the organic cation and the molecular mechanism behind its motion remain unclear, with different experimental and computational approaches providing very different qualitative and quantitative description of the molecular dynamics. Here we use ultrafast 2D vibrational spectroscopy of methylammonium (MA) lead iodide to directly resolve the rotation of the organic cations within the MAPbI3 lattice. Our results reveal two characteristic time constants of motion. Using ab initio molecular dynamics simulations, we identify these as a fast (∼300 fs) “wobbling-in-a-cone” motion around the crystal axis and a relatively slow (∼3 ps) jump-like reorientation of the molecular dipole with respect to the iodide lattice. The observed dynamics are essential for understanding the electronic propert...
342 citations
Authors
Showing all 16056 results
Name | H-index | Papers | Citations |
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Michael Grätzel | 248 | 1423 | 303599 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Amartya Sen | 149 | 689 | 141907 |
Gilbert Laporte | 128 | 730 | 62608 |
Andre K. Geim | 125 | 445 | 206833 |
Matthew Jones | 125 | 1161 | 96909 |
Benoît Roux | 120 | 493 | 62215 |
Stephen Mann | 120 | 669 | 55008 |
Bruno S. Frey | 119 | 900 | 65368 |
Raymond A. Dwek | 118 | 603 | 52259 |
David Cutts | 114 | 778 | 64215 |
John Campbell | 107 | 1150 | 56067 |
David Chandler | 107 | 424 | 52396 |
Peter H.R. Green | 106 | 843 | 60113 |
Huajian Gao | 105 | 667 | 46748 |