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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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Book ChapterDOI
TL;DR: In this article, theoretical foundations about elastic behavior of composite materials have been presented and an analysis of tensors and elastic behavior is discussed, and the overall elastic behaviour of a composite body is also explained in detail.
Abstract: Publisher Summary This chapter presents theoretical foundations about elastic behavior of composite materials. A composite material is a heterogeneous solid continuum that bonds together a number of discrete homogeneous continua, each of which has a well-defined sharp boundary. It is understood that the bonding at the interfaces (and the continuity of each region) remains intact in the present circumstances where the entire mixture is to be placed in an equilibrated state of infinitesimal elastic strain by external loads and constraints. Each separate homogeneous region has its characteristic tensor of elastic moduli (in the stress–strain relation), which when anisotropic reflects a particular alignment of the crystallographic axes relative to the fixed Cartesian ones. A single phase consists of all those regions that share the same tensor of elastic moduli and perhaps also the same alignment of a geometrical shape and of crystallographic axes. This chapter presents an analysis of tensors and elastic behavior. The elastic field of a composite body is discussed. The overall elastic behavior of a composite body is also explained in detail.

347 citations

Journal ArticleDOI
TL;DR: The results suggest that, rather than a determinant, trust is an expression or indicator of the acceptability of GM food, and accounts for a large portion of the variance between perceived risk, perceived benefit, trust in risk regulation, and acceptability.
Abstract: Although there is ample empirical evidence that trust in risk regulation is strongly related to the perception and acceptability of risk, it is less clear what the direction of this relationship is. This article explores the nature of the relationship, using three separate data sets on perceptions of genetically modified (GM) food among the British public. The article has two discrete but closely interrelated objectives. First, it compares two models of trust. More specifically, it investigates whether trust is the cause (causal chain account) or the consequence (associationist view) of the acceptability of GM food. Second, this study explores whether the affect heuristic can be applied to a wider number of risk-relevant concepts than just perceived risk and benefit. The results suggest that, rather than a determinant, trust is an expression or indicator of the acceptability of GM food. In addition, and as predicted, “affect” accounts for a large portion of the variance between perceived risk, perceived benefit, trust in risk regulation, and acceptability. Overall, the results support the associationist view that specific risk judgments are driven by more general evaluative judgments The implications of these results for risk communication and policy are discussed.

347 citations

Journal ArticleDOI
TL;DR: This article quantifies the potential consequences of climate change in Europe in four market impact categories (agriculture, river floods, coastal areas, and tourism) and one nonmarket impact (human health) and finds that there are large variations across European regions.
Abstract: Quantitative estimates of the economic damages of climate change usually are based on aggregate relationships linking average temperature change to loss in gross domestic product (GDP). However, there is a clear need for further detail in the regional and sectoral dimensions of impact assessments to design and prioritize adaptation strategies. New developments in regional climate modeling and physical-impact modeling in Europe allow a better exploration of those dimensions. This article quantifies the potential consequences of climate change in Europe in four market impact categories (agriculture, river floods, coastal areas, and tourism) and one nonmarket impact (human health). The methodology integrates a set of coherent, high-resolution climate change projections and physical models into an economic modeling framework. We find that if the climate of the 2080s were to occur today, the annual loss in household welfare in the European Union (EU) resulting from the four market impacts would range between 0.2–1%. If the welfare loss is assumed to be constant over time, climate change may halve the EU's annual welfare growth. Scenarios with warmer temperatures and a higher rise in sea level result in more severe economic damage. However, the results show that there are large variations across European regions. Southern Europe, the British Isles, and Central Europe North appear most sensitive to climate change. Northern Europe, on the other hand, is the only region with net economic benefits, driven mainly by the positive effects on agriculture. Coastal systems, agriculture, and river flooding are the most important of the four market impacts assessed.

347 citations

Journal ArticleDOI
TL;DR: Nanopore sequencing coupled with a metagenomics framework that effectively removes human DNA from samples enables rapid bacterial LRI diagnosis and might contribute to a reduction in broad-spectrum antibiotic use.
Abstract: The gold standard for clinical diagnosis of bacterial lower respiratory infections (LRIs) is culture, which has poor sensitivity and is too slow to guide early, targeted antimicrobial therapy. Metagenomic sequencing could identify LRI pathogens much faster than culture, but methods are needed to remove the large amount of human DNA present in these samples for this approach to be feasible. We developed a metagenomics method for bacterial LRI diagnosis that features efficient saponin-based host DNA depletion and nanopore sequencing. Our pilot method was tested on 40 samples, then optimized and tested on a further 41 samples. Our optimized method (6 h from sample to result) was 96.6% sensitive and 41.7% specific for pathogen detection compared with culture and we could accurately detect antibiotic resistance genes. After confirmatory quantitative PCR and pathobiont-specific gene analyses, specificity and sensitivity increased to 100%. Nanopore metagenomics can rapidly and accurately characterize bacterial LRIs and might contribute to a reduction in broad-spectrum antibiotic use.

346 citations

Journal ArticleDOI
TL;DR: In this review the main synthetic strategies used in the preparation of imprinted organic polymers are described in terms of the chemical principlesused in the templating step and are classified as covalent, semi-covalents, non-cavalent, metal-mediated and non-polar.

346 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