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Institution

University of East Anglia

EducationNorwich, Norfolk, United Kingdom
About: University of East Anglia is a education organization based out in Norwich, Norfolk, United Kingdom. It is known for research contribution in the topics: Population & Climate change. The organization has 13250 authors who have published 37504 publications receiving 1669060 citations. The organization is also known as: UEA.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors use new and existing data on cement materials during cement service life, demolition, and secondary use of concrete waste to estimate regional and global CO_2 uptake between 1930 and 2013 using an analytical model describing carbonation chemistry.
Abstract: Calcination of carbonate rocks during the manufacture of cement produced 5% of global CO_2 emissions from all industrial process and fossil-fuel combustion in 2013. Considerable attention has been paid to quantifying these industrial process emissions from cement production, but the natural reversal of the process—carbonation—has received little attention in carbon cycle studies. Here, we use new and existing data on cement materials during cement service life, demolition, and secondary use of concrete waste to estimate regional and global CO_2 uptake between 1930 and 2013 using an analytical model describing carbonation chemistry. We find that carbonation of cement materials over their life cycle represents a large and growing net sink of CO_2, increasing from 0.10 GtC yr^(−1) in 1998 to 0.25 GtC yr^(−1) in 2013. In total, we estimate that a cumulative amount of 4.5 GtC has been sequestered in carbonating cement materials from 1930 to 2013, offsetting 43% of the CO_2 emissions from production of cement over the same period, not including emissions associated with fossil use during cement production. We conclude that carbonation of cement products represents a substantial carbon sink that is not currently considered in emissions inventories.

313 citations

Journal ArticleDOI
TL;DR: This work seeks that projection which produces a type of intrinsic, independent of lighting reflectance-information only image by minimizing entropy, and from there go on to remove shadows as previously, and goes over to the quadratic entropy, rather than Shannon's definition.
Abstract: Recently, a method for removing shadows from colour images was developed (Finlayson et al. in IEEE Trans. Pattern Anal. Mach. Intell. 28:59---68, 2006) that relies upon finding a special direction in a 2D chromaticity feature space. This "invariant direction" is that for which particular colour features, when projected into 1D, produce a greyscale image which is approximately invariant to intensity and colour of scene illumination. Thus shadows, which are in essence a particular type of lighting, are greatly attenuated. The main approach to finding this special angle is a camera calibration: a colour target is imaged under many different lights, and the direction that best makes colour patch images equal across illuminants is the invariant direction. Here, we take a different approach. In this work, instead of a camera calibration we aim at finding the invariant direction from evidence in the colour image itself. Specifically, we recognize that producing a 1D projection in the correct invariant direction will result in a 1D distribution of pixel values that have smaller entropy than projecting in the wrong direction. The reason is that the correct projection results in a probability distribution spike, for pixels all the same except differing by the lighting that produced their observed RGB values and therefore lying along a line with orientation equal to the invariant direction. Hence we seek that projection which produces a type of intrinsic, independent of lighting reflectance-information only image by minimizing entropy, and from there go on to remove shadows as previously. To be able to develop an effective description of the entropy-minimization task, we go over to the quadratic entropy, rather than Shannon's definition. Replacing the observed pixels with a kernel density probability distribution, the quadratic entropy can be written as a very simple formulation, and can be evaluated using the efficient Fast Gauss Transform. The entropy, written in this embodiment, has the advantage that it is more insensitive to quantization than is the usual definition. The resulting algorithm is quite reliable, and the shadow removal step produces good shadow-free colour image results whenever strong shadow edges are present in the image. In most cases studied, entropy has a strong minimum for the invariant direction, revealing a new property of image formation.

312 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed the concept of graduate identity as a way of deepening the understanding of graduate employability through presenting research in which over 100 employers in East Anglia were asked to record their perceptions of graduates in respect of their employability.
Abstract: This paper develops the concept of graduate identity as a way of deepening the understanding of graduate employability. It does this through presenting research in which over 100 employers in East Anglia were asked to record their perceptions of graduates in respect of their employability. The findings suggest a composite and complex graduate identity, depending on employer size and sector. There is no one fixed identity for graduates. Nevertheless, certain themes emerged that seriously put into question the traditional model of graduate employability comprising skills, competencies and attributes. What emerges is a four-stranded concept of identity that comprises value, intellect, social engagement and performance. Thus, when assessing the potential of graduates, performance is not the only criteria that employers take into account. Moreover, the four elements of identity are by no means independent of each other but are expected to interpenetrate producing a composite identity, with different employers ...

312 citations

Journal ArticleDOI
TL;DR: The characteristics of patients with a high risk of mortality after a hip fracture surgery beyond the peri-operative period who may benefit from comprehensive assessment and appropriate management are identified.
Abstract: Objective hip fracture is a common and serious condition associated with high mortality. This study aimed to identify pre-operative characteristics which are associated with an increased risk of mortality after hip fracture surgery. Design systematic search of published and unpublished literature databases, including EMBASE, MEDLINE, AMED, CINAHL, PubMed and the Cochrane Library, was undertaken to identify all clinical studies on pre-operative predictors of mortality after surgery in hip fracture with at least 3-month follow-up. Data pertaining to the study objectives was extracted by two reviewers independently. Where study homogeneity was evidence, a meta-analysis of pooled relative risk and 95% confidence intervals was performed for mortality against pre-admission characteristics. Results fifty-three studies including 544,733 participants were included. Thirteen characteristics were identified as possible pre-operative indicators for mortality. Following meta-analysis, the four key characteristics associated with the risk of mortality up to 12 months were abnormal ECG (RR: 2.00; 95% CI: 1.45, 2.76), cognitive impairment (RR: 1.91; 95% CI: 1.35, 2.70), age >85 years (RR: 0.42; 95% CI: 0.20, 0.90) and pre-fracture mobility (RR: 0.13; 95% CI: 0.05, 0.34). Other statistically significant pre-fracture predictors of increased mortality were male gender, being resident in a care institution, intra-capsular fracture type, high ASA grade and high Charlson comorbidity score on admission. Conclusions this review has identified the characteristics of patients with a high risk of mortality after a hip fracture surgery beyond the peri-operative period who may benefit from comprehensive assessment and appropriate management. Prospero registration number CRD42012002107.

312 citations

Journal ArticleDOI
TL;DR: In this article, the authors present distributional focused carbon footprints for Chinese households and use a carbon-footprint-Gini coefficient to quantify inequalities, finding that the urban very rich, comprising 5% of population, induced 19% of the total carbon footprint from household consumption in China.
Abstract: Households’ carbon footprints are unequally distributed among the rich and poor due to differences in the scale and patterns of consumption. We present distributional focused carbon footprints for Chinese households and use a carbon-footprint-Gini coefficient to quantify inequalities. We find that in 2012 the urban very rich, comprising 5% of population, induced 19% of the total carbon footprint from household consumption in China, with 6.4 tCO_2/cap. The average Chinese household footprint remains comparatively low (1.7 tCO_2/cap), while those of the rural population and urban poor, comprising 58% of population, are 0.5–1.6 tCO_2/cap. Between 2007 and 2012 the total footprint from households increased by 19%, with 75% of the increase due to growing consumption of the urban middle class and the rich. This suggests that a transformation of Chinese lifestyles away from the current trajectory of carbon-intensive consumption patterns requires policy interventions to improve living standards and encourage sustainable consumption.

312 citations


Authors

Showing all 13512 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Kay-Tee Khaw1741389138782
Phillip A. Sharp172614117126
Rory Collins162489193407
William J. Sutherland14896694423
Shah Ebrahim14673396807
Kenneth M. Yamada13944672136
Martin McKee1381732125972
David Price138168793535
Sheila Bingham13651967332
Philip Jones13564490838
Peter M. Rothwell13477967382
Ivan Reid131131885123
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023115
2022385
20212,204
20202,121
20191,957
20181,798