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Institution

Manchester Metropolitan University

EducationManchester, Manchester, United Kingdom
About: Manchester Metropolitan University is a education organization based out in Manchester, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5435 authors who have published 16202 publications receiving 442561 citations. The organization is also known as: Manchester Polytechnic & MMU.


Papers
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Journal ArticleDOI
TL;DR: To examine the polygenic endurance potential of a human population, a ‘total genotype score’ was calculated and there was considerable homogeneity in terms of genetic predisposition to high endurance potential, with 99% of people differing by no more than seven genotypes from the typical profile.
Abstract: Human physical capability is influenced by many environmental and genetic factors, and it is generally accepted that physical capability phenotypes are highly polygenic. However, the ways in which relevant polymorphisms combine to influence the physical capability of individuals and populations are unknown. Initially, the literature was searched to identify associations between 23 genetic polymorphisms and human endurance phenotypes. Next, typical genotype frequencies of those polymorphisms in the general population were obtained from suitable literature. Using probability calculations, we found only a 0.0005% chance of a single individual in the world having the 'preferable' form of all 23 polymorphisms. As the number of DNA variants shown to be associated with human endurance phenotypes continues to increase, the probability of any single individual possessing the 'preferable' form of each polymorphism will become even lower. However, with population turnover, the chance of such genetically gifted individuals existing increases. To examine the polygenic endurance potential of a human population, a 'total genotype score' (for the 23 polymorphisms) was calculated for each individual within a hypothetical population of 1000 000. There was considerable homogeneity in terms of genetic predisposition to high endurance potential, with 99% of people differing by no more than seven genotypes from the typical profile. Consequently, with population turnover world and Olympic records should improve even without further enhancement of environmental factors, as more 'advantageous' polygenic profiles occasionally, though rarely, emerge. More broadly, human potential appears limited by the similarity of polygenic profiles at both the 'elite sport' and 'chronic disorder' ends of the performance continuum.

214 citations

Journal ArticleDOI
TL;DR: In this paper, freshly squeezed watermelon juice was subjected to thermosonication treatments with processing variables of temperature (25-45°C), amplitude level (24.1-60μm) and processing time (2-10min) at a constant frequency of 20-kHz and pulse durations of 5-s on and 5 -s off.

214 citations

Journal ArticleDOI
TL;DR: The term " agent " is being increasingly used within information technology to describe a broad range of computational entities, which range from relatively simple systems, right up to very large, interoperable expert systems or databases which contain thousands of lines of code.
Abstract: The term \" agent \" , (and hence \" agent based computing \" , \" agent based system \" , ''multi-agent system''), is being increasingly used within information technology to describe a broad range of computational entities. These entities range from relatively simple systems, (such as Microsoft's TIP WIZARD, which provides advice to users working in EXCEL 5, or desktop agents which prioritise and filter electronic mail (Maes, 1994)), right up to very large, interoperable expert systems or databases which contain thousands of lines of code (e.g., ARCHON (Jennings et al., 1995) and Carnot (Huhns et al., 1992)). Broadly speaking, we can identify three different classes of agent. At the simplest level, there are \" gopher \" agents, which can execute straightforward tasks based on pre-specified rules and assumptions (e.g., remind me that I have a lecture every Monday this term at 2:00). The next level of sophistication involves \" service performing \" agents, which execute a well-defined high-level task at the request of a user (e.g., arrange a meeting or find an appropriate flight). Finally, there are \" predictive/proactive \" agents, which volunteer information or services to a user, without being

213 citations

Journal ArticleDOI
TL;DR: This paper clarifies aspects of the GTM method that are often misunderstood by novice users or casual observers and provides guidance to address common problems and contributes to improving the use of the method and to the quality and dissemination of grounded theory research outcomes.
Abstract: The use of grounded theory method (GTM) as a research method in information systems (IS) has gradually increased over the years as qualitative research in general has become more prevalent. The method offers a systematic way to generate theory from data, but is rarely used to its full potential in IS as a number of myths and misunderstandings about GTM prevent researchers from getting the full potential out of the method. To address this problem, we advance the general level of knowledge of GTM. We clarify aspects of the method that are often misunderstood by novice users or casual observers and provide guidance to address common problems. Exemplars from the IS literature are used to illustrate the concepts and to promote the informed use of the methodology. By doing so, this paper will contribute to improving the use of the method and to the quality and dissemination of grounded theory research outcomes.

213 citations

Journal ArticleDOI
TL;DR: A deep artificial neural network is deployed on a set of unique handcrafted features, extracted from the virtual learning environments clickstream data, to predict at-risk students providing measures for early intervention of such cases, to assist institutes in formulating a necessary framework for pedagogical support.

213 citations


Authors

Showing all 5608 results

NameH-indexPapersCitations
David T. Felson153861133514
João Carvalho126127877017
Andrew M. Jones10376437253
Michael C. Carroll10039934818
Mark Conner9837947672
Richard P. Bentall9443130580
Michael Wooldridge8754350675
Lina Badimon8668235774
Ian Parker8543228166
Kamaruzzaman Sopian8498925293
Keith Davids8460425038
Richard Baker8351422970
Joan Montaner8048922413
Stuart Robert Batten7832524097
Craig E. Banks7756927520
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202350
2022471
20211,600
20201,341
20191,110
20181,076