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Institution

University of Buckingham

EducationBuckingham, Buckinghamshire, United Kingdom
About: University of Buckingham is a education organization based out in Buckingham, Buckinghamshire, United Kingdom. It is known for research contribution in the topics: Population & Biometrics. The organization has 616 authors who have published 1292 publications receiving 22714 citations.


Papers
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Book
01 Jan 1996
TL;DR: The Simplex Method in Matrix Notation and Duality Theory, and Applications: Foundations of Convex Programming.
Abstract: Preface. Part 1: Basic Theory - The Simplex Method and Duality. 1. Introduction. 2. The Simplex Method. 3. Degeneracy. 4. Efficiency of the Simplex Method. 5. Duality Theory. 6. The Simplex Method in Matrix Notation. 7. Sensitivity and Parametric Analyses. 8. Implementation Issues. 9. Problems in General Form. 10. Convex Analysis. 11. Game Theory. 12. Regression. Part 2: Network-Type Problems. 13. Network Flow Problems. 14. Applications. 15. Structural Optimization. Part 3: Interior-Point Methods. 16. The Central Path. 17. A Path-Following Method. 18. The KKT System. 19. Implementation Issues. 20. The Affine-Scaling Method. 21. The Homogeneous Self-Dual Method. Part 4: Extensions. 22. Integer Programming. 23. Quadratic Programming. 24. Convex Programming. Appendix A: Source Listings. Answers to Selected Exercises. Bibliography. Index.

1,194 citations

Journal ArticleDOI
TL;DR: This work has shown that mucus-based defences, including filter feeding, adhesion and abhesion, can be modelled on the basis of the state of mucus on fish surfaces and experimental approaches.
Abstract: Introduction Basic biology of mucus Production and composition The state of mucus on fish surfaces Biophysical properties of fish mucus Experimental approaches Osmotic, ionic and acid-base regulation, gas exchange and excretion Unstirred layers Water Ions Respiratory gases, acid-base balance and ammonia excretion Defence Locomotion Filter feeding, adhesion and abhesion Conclusions References page 401 402

744 citations

Journal ArticleDOI
TL;DR: A consolidated view of the complexity and challenges of designing studies for measurement of energy metabolism in mouse models is presented, including a practical guide to the assessment of energy expenditure, energy intake and body composition and statistical analysis thereof.
Abstract: We present a consolidated view of the complexity and challenges of designing studies for measurement of energy metabolism in mouse models, including a practical guide to the assessment of energy expenditure, energy intake and body composition and statistical analysis thereof. We hope this guide will facilitate comparisons across studies and minimize spurious interpretations of data. We recommend that division of energy expenditure data by either body weight or lean body weight and that presentation of group effects as histograms should be replaced by plotting individual data and analyzing both group and body-composition effects using analysis of covariance (ANCOVA).

644 citations

Journal ArticleDOI
TL;DR: The findings indicate that hydroxynonenal is not merely toxic, but may be a biological signal to induce uncoupling through UCPs and ANT and thus decrease mitochondrial ROS production.
Abstract: Oxidative stress and mitochondrial dysfunction are associated with disease and aging. Oxidative stress results from overproduction of reactive oxygen species (ROS), often leading to peroxidation of membrane phospholipids and production of reactive aldehydes, particularly 4-hydroxy-2-nonenal. Mild uncoupling of oxidative phosphorylation protects by decreasing mitochondrial ROS production. We find that hydroxynonenal and structurally related compounds (such as trans-retinoic acid, trans-retinal and other 2-alkenals) specifically induce uncoupling of mitochondria through the uncoupling proteins UCP1, UCP2 and UCP3 and the adenine nucleotide translocase (ANT). Hydroxynonenal-induced uncoupling was inhibited by potent inhibitors of ANT (carboxyatractylate and bongkrekate) and UCP (GDP). The GDP-sensitive proton conductance induced by hydroxynonenal correlated with tissue expression of UCPs, appeared in yeast mitochondria expressing UCP1 and was absent in skeletal muscle mitochondria from UCP3 knockout mice. The carboxyatractylate-sensitive hydroxynonenal stimulation correlated with ANT content in mitochondria from Drosophila melanogaster expressing different amounts of ANT. Our findings indicate that hydroxynonenal is not merely toxic, but may be a biological signal to induce uncoupling through UCPs and ANT and thus decrease mitochondrial ROS production.

582 citations

Journal ArticleDOI
01 Feb 1997-Diabetes
TL;DR: Results provide evidence that a functional leptin receptor is present in pancreatic islets and suggest that leptin overproduction, particularly from abdominal adipose tissue, may modify directly both basal and glucose-stimulated insulin secretion.
Abstract: Leptin, encoded for by the mouse ob gene, regulates feeding behavior and energy metabolism. Its receptor (Ob-R) is encoded by the mouse diabetic (db) gene and is mutated in the db/db mouse so that it lacks the cytoplasmic domain. We show that the full-length leptin receptor (Ob-Rb), which is believed to transmit the leptin signal, is expressed in pancreatic islets of ob/ob and wild-type mice, as well as in hypothalamus, liver, kidney, spleen, and heart. Recombinant leptin inhibited basal insulin release in the perfused pancreas preparation from ob/ob mice but not in that from Zucker fa/fa rats. Leptin (1-100 nmol/l) also produced a dose-dependent inhibition of glucose-stimulated insulin secretion by isolated islets from ob/ob mice. In contrast, leptin at maximum effective concentration (100 nmol/l) did not inhibit glucose-stimulated insulin secretion by islets from db/db mice. These results provide evidence that a functional leptin receptor is present in pancreatic islets and suggest that leptin overproduction, particularly from abdominal adipose tissue, may modify directly both basal and glucose-stimulated insulin secretion.

535 citations


Authors

Showing all 624 results

NameH-indexPapersCitations
Fiona M. Watt11347644949
Jack T. Trevors7045720783
Sherali Zeadally6546817244
David Greenaway6425118268
Paul Trayhurn5818117815
Ram Mudambi5623613562
Valur Emilsson509720168
Jonathan R.S. Arch4911613925
Claudia Pagliari441498106
Michael A. Cawthorne441256312
Robert J. Vanderbei4422510584
Jeremy J. Ramsden432178070
Andrew Miles431786640
Geoffrey Wood434988134
Paul Trayhurn40954910
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202221
2021103
202091
201973
201870