Institution
University of Bedfordshire
Education•Luton, Bedford, United Kingdom•
About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Social work. The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.
Topics: Population, Social work, Poison control, Curriculum, Health care
Papers published on a yearly basis
Papers
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TL;DR: This paper outlines and expands upon the key themes that emerged from the international workshop on increased use of toxicokinetic data held in 2008 and considers technologies and strategies to reduce and refine animal use for this purpose.
51 citations
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TL;DR: In the 90-day study, Clarinol G80 produced hepatocellular hypertrophy in female rats at the highest dose level (15% w/w) and this effect was an adaptive effect in response to feeding high levels of Clarinols G80 in the diet and was reversible upon withdrawal of test material.
51 citations
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TL;DR: The risk assessment framework proposed by Codex Alimentarius allows the impact of raw materials and processes to be appreciated, and the output can be used for risk management and communication as discussed by the authors.
51 citations
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TL;DR: Chronic disease risk may be lower because visceral fat and liver fat are lower in men who are fat, fit and active.
Abstract: Background:
The risk of chronic disease is lower in obese men who are fit and active than obese men who are unfit and inactive.
Methods/Objectives:
Magnetic resonance imaging and spectroscopy were used to assess total and regional adipose tissue in 13 men who were slim, fit and active (the slim-fit), in 12 men who were slim, unfit and inactive (the slim-unfit), in 13 men who were fat, fit and active (the fat-fit) and in 12 men who were fat, unfit and inactive (the fat-unfit), in order to investigate the hypothesis that visceral fat and liver fat are lower in the fat-fit than the fat-unfit. Waist girth was used to distinguish slim men (less than or equal to90?cm) and fat men (greater than or equal to100?cm). Maximal oxygen consumption was used to identify fit men (above average for age) and unfit men (average or below for age). Fit men reported at least 60?min of vigorous aerobic activity per week and unfit men reported no regular moderate or vigorous activity in the last 2 years.
Results:
Total fat was not significantly different in the slim-fit and the slim unfit, but the proportion of internal fat was significantly lower (P<0.05) and the proportion of visceral fat was almost significantly lower (P=0.06) in the slim-fit than all other groups. Total fat was not significantly different in the fat-fit and the fat-unfit, but visceral fat and liver fat were significantly lower in the fat-fit than the fat-unfit (P<0.01). Waist girth and years of exercise explained 84% of the variance in total fat, waist girth and maximal oxygen consumption explained 70% of the variance in visceral fat, and waist girth alone explained 25% of the variance in liver fat.
Conclusion:
Chronic disease risk may be lower because visceral fat and liver fat are lower in men who are fat, fit and active.
51 citations
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TL;DR: The ability to interact with others has gained recognition as part of the L2 speaking construct in the assessment literature and in high and low-stakes speaking assessments as mentioned in this paper, and it has been recognized as one of the strengths of L2.
Abstract: The ability to interact with others has gained recognition as part of the L2 speaking construct in the assessment literature and in high- and low-stakes speaking assessments. This paper first prese...
51 citations
Authors
Showing all 3892 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Oscar H. Franco | 111 | 822 | 66649 |
Timothy J. Foster | 98 | 420 | 32338 |
Christopher P. Denton | 95 | 675 | 42040 |
Ian Kimber | 91 | 620 | 28629 |
Michael J. Gidley | 86 | 420 | 24313 |
David Carling | 86 | 186 | 45066 |
Anthony Turner | 79 | 489 | 24734 |
Rhys E. Green | 78 | 285 | 30428 |
Vijay Kumar Thakur | 74 | 375 | 17719 |
Dave J. Adams | 73 | 283 | 19526 |
Naresh Magan | 72 | 400 | 17511 |
Aedin Cassidy | 70 | 218 | 17788 |
David A. Basketter | 70 | 325 | 16639 |
Richard C. Strange | 67 | 249 | 17805 |