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Institution

University of Stirling

EducationStirling, Stirling, United Kingdom
About: University of Stirling is a education organization based out in Stirling, Stirling, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 7722 authors who have published 20549 publications receiving 732940 citations. The organization is also known as: Stirling University.


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Journal ArticleDOI
TL;DR: This paper showed that differences in facial shape alone between candidates can predict who wins or loses in an election and that changing context from war time to peace time can affect which face receives the most votes.

342 citations

Journal ArticleDOI
TL;DR: Experimental and observational evidence is presented for a host–parasite interaction where the parasite has sufficient impact on host population dynamics for regulation to occur and shows that the parasite–mediated effect on fecundity was sufficient to regulate reindeer densities around observed host densities.
Abstract: Even though theoretical models show that parasites may regulate host population densities, few empirical studies have given support to this hypothesis. We present experimental and observational evidence for a host-parasite interaction where the parasite has sufficient impact on host population dynamics for regulation to occur. During a six year study of the Svalbard reindeer and its parasitic gastrointestinal nematode Ostertagia gruehneri we found that anthelminthic treatment in April-May increased the probability of a reindeer having a calf in the next year, compared with untreated controls. However, treatment did not influence the over-winter survival of the reindeer. The annual variation in the degree to which parasites depressed fecundity was positively related to the abundance of O. gruehneri infection the previous October, which in turn was related to host density two years earlier. In addition to the treatment effect, there was a strong negative effect of winter precipitation on the probability of female reindeer having a calf. A simple matrix model was parameterized using estimates from our experimental and observational data. This model shows that the parasite-mediated effect on fecundity was sufficient to regulate reindeer densities around observed host densities.

341 citations

Journal ArticleDOI
TL;DR: The zebrafish Δ5/Δ6 desaturase may represent a component of a prototypic vertebrate polyunsaturated fatty acids biosynthesis pathway.
Abstract: Δ5 and Δ6 fatty acid desaturases are critical enzymes in the pathways for the biosynthesis of the polyunsaturated fatty acids arachidonic, eicosapentaenoic, and docosahexaenoic acids. They are encoded by distinct genes in mammals and Caenorhabditis elegans. This paper describes a cDNA isolated from zebrafish (Danio rerio) with high similarity to mammalian Δ6 desaturase genes. The 1,590-bp sequence specifies a protein that, in common with other fatty acid desaturases, contains an N-terminal cytochrome b5 domain and three histidine boxes, believed to be involved in catalysis. When the zebrafish cDNA was expressed in Saccharomyces cerevisiae it conferred the ability to convert linoleic acid (18:2n-6) and α-linolenic acid (18:3n-3) to their corresponding Δ6 desaturated products, 18:3n-6 and 18:4n-3. However, in addition it conferred on the yeast the ability to convert di-homo-γ-linoleic acid (20:3n-6) and eicosatetraenoic acid (20:4n-3) to arachidonic acid (20:4n-6) and eicosapentaenoic acid (20:5n-3), respectively, indicating that the zebrafish gene encodes an enzyme having both Δ5 and Δ6 desaturase activity. The zebrafish Δ5/Δ6 desaturase may represent a component of a prototypic vertebrate polyunsaturated fatty acids biosynthesis pathway.

340 citations

Journal ArticleDOI
TL;DR: It is argued that in building robot models biological relevance is more effective than loose biological inspiration; multiple levels can be integrated; that generality cannot be assumed but might emerge from studying specific instances; abstraction is better done by simplification than idealisation; accuracy can be approached through iterations of complete systems; that the model should be able to match and predict target behaviour; and that a physical medium can have significant advantages.
Abstract: How should biological behaviour be modelled? A relatively new approach is to investigate problems in neuroethology by building physical robot models of biological sensorimotor systems. The explication and justification of this approach are here placed within a framework for describing and comparing models in the behavioural and biological sciences. First, simulation models – the representation of a hypothesis about a target system – are distinguished from several other relationships also termed “modelling” in discussions of scientific explanation. Seven dimensions on which simulation models can differ are defined and distinctions between them discussed:1. Relevance: whether the model tests and generates hypotheses applicable to biology.2. Level: the elemental units of the model in the hierarchy from atoms to societies.3. Generality: the range of biological systems the model can represent.4. Abstraction: the complexity, relative to the target, or amount of detail included in the model.5. Structural accuracy: how well the model represents the actual mechanisms underlying the behaviour.6. Performance match: to what extent the model behaviour matches the target behaviour.7. Medium: the physical basis by which the model is implemented.No specific position in the space of models thus defined is the only correct one, but a good modelling methodology should be explicit about its position and the justification for that position. It is argued that in building robot models biological relevance is more effective than loose biological inspiration; multiple levels can be integrated; that generality cannot be assumed but might emerge from studying specific instances; abstraction is better done by simplification than idealisation; accuracy can be approached through iterations of complete systems; that the model should be able to match and predict target behaviour; and that a physical medium can have significant advantages. These arguments reflect the view that biological behaviour needs to be studied and modelled in context, that is, in terms of the real problems faced by real animals in real environments.

339 citations

Journal ArticleDOI
TL;DR: The fatty acid composition of over 3,000 Scottish Atlantic salmon farmed between 2006 and 2015 is compared to find that terrestrial fatty acids have significantly increased alongside a decrease in EPA and DHA levels, and the nutritional value of the final product is compromised.
Abstract: As the global population and its demand for seafood increases more of our fish will come from aquaculture. Farmed Atlantic salmon are a global commodity and, as an oily fish, contain a rich source of the health promoting long-chain omega-3 fatty acids, eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Replacing the traditional finite marine ingredients, fishmeal and fish oil, in farmed salmon diets with sustainable alternatives of terrestrial origin, devoid of EPA and DHA, presents a significant challenge for the aquaculture industry. By comparing the fatty acid composition of over 3,000 Scottish Atlantic salmon farmed between 2006 and 2015, we find that terrestrial fatty acids have significantly increased alongside a decrease in EPA and DHA levels. Consequently, the nutritional value of the final product is compromised requiring double portion sizes, as compared to 2006, in order to satisfy recommended EPA + DHA intake levels endorsed by health advisory organisations. Nevertheless, farmed Scottish salmon still delivers more EPA + DHA than most other fish species and all terrestrial livestock. Our findings highlight the global shortfall of EPA and DHA and the implications this has for the human consumer and examines the potential of microalgae and genetically modified crops as future sources of these important fatty acids.

339 citations


Authors

Showing all 7824 results

NameH-indexPapersCitations
Paul M. Thompson1832271146736
Alan D. Baddeley13746789497
Wolf Singer12458072591
John J. McGrath120791124804
Richard J. Simpson11385059378
David I. Perrett11035045878
Simon P. Driver10945546299
David J. Williams107206062440
Linqing Wen10741270794
John A. Raven10655544382
David Coward10340067118
Stuart J. H. Biddle10248441251
Malcolm T. McCulloch10037136914
Andrew P. Dobson9832244211
Lister Staveley-Smith9559936924
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202357
2022175
20211,041
20201,054
2019916
2018903