Institution
Massey University
Education•Palmerston North, New Zealand•
About: Massey University is a education organization based out in Palmerston North, New Zealand. It is known for research contribution in the topics: Population & Aotearoa. The organization has 11734 authors who have published 31554 publications receiving 889910 citations. The organization is also known as: Massey Agricultural College.
Papers published on a yearly basis
Papers
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TL;DR: As demonstrated here, microalgae appear to be the only source of renewable biodiesel that is capable of meeting the global demand for transport fuels.
9,030 citations
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Mohammad H. Forouzanfar1, Lily Alexander, H. Ross Anderson, Victoria F Bachman1 +733 more•Institutions (289)
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.
5,668 citations
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TL;DR: BEAST 2 now has a fully developed package management system that allows third party developers to write additional functionality that can be directly installed to the BEAST 2 analysis platform via a package manager without requiring a new software release of the platform.
Abstract: We present a new open source, extensible and flexible software platform for Bayesian evolutionary analysis called BEAST 2. This software platform is a re-design of the popular BEAST 1 platform to correct structural deficiencies that became evident as the BEAST 1 software evolved. Key among those deficiencies was the lack of post-deployment extensibility. BEAST 2 now has a fully developed package management system that allows third party developers to write additional functionality that can be directly installed to the BEAST 2 analysis platform via a package manager without requiring a new software release of the platform. This package architecture is showcased with a number of recently published new models encompassing birth-death-sampling tree priors, phylodynamics and model averaging for substitution models and site partitioning. A second major improvement is the ability to read/write the entire state of the MCMC chain to/from disk allowing it to be easily shared between multiple instances of the BEAST software. This facilitates checkpointing and better support for multi-processor and high-end computing extensions. Finally, the functionality in new packages can be easily added to the user interface (BEAUti 2) by a simple XML template-based mechanism because BEAST 2 has been re-designed to provide greater integration between the analysis engine and the user interface so that, for example BEAST and BEAUti use exactly the same XML file format.
5,183 citations
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TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as mentioned in this paper, the authors estimated the quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013.
4,510 citations
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Chalmers University of Technology1, Agrocampus Ouest2, Institut national de la recherche agronomique3, Aix-Marseille University4, University of Guelph5, Massey University6, Ege University7, Agro ParisTech8, Norwich Research Park9, Norwich University10, University of Massachusetts Amherst11, Spanish National Research Council12, Universidade Nova de Lisboa13, University of California, Davis14, Norwegian University of Life Sciences15, University of Greifswald16, Teagasc17
TL;DR: In this article, the authors proposed a general standardised and practical static digestion method based on physiologically relevant conditions that can be applied for various endpoints, which may be amended to accommodate further specific requirements.
Abstract: Simulated gastro-intestinal digestion is widely employed in many fields of food and nutritional sciences, as conducting human trials are often costly, resource intensive, and ethically disputable. As a consequence, in vitro alternatives that determine endpoints such as the bioaccessibility of nutrients and non-nutrients or the digestibility of macronutrients (e.g. lipids, proteins and carbohydrates) are used for screening and building new hypotheses. Various digestion models have been proposed, often impeding the possibility to compare results across research teams. For example, a large variety of enzymes from different sources such as of porcine, rabbit or human origin have been used, differing in their activity and characterization. Differences in pH, mineral type, ionic strength and digestion time, which alter enzyme activity and other phenomena, may also considerably alter results. Other parameters such as the presence of phospholipids, individual enzymes such as gastric lipase and digestive emulsifiers vs. their mixtures (e.g. pancreatin and bile salts), and the ratio of food bolus to digestive fluids, have also been discussed at length. In the present consensus paper, within the COST Infogest network, we propose a general standardised and practical static digestion method based on physiologically relevant conditions that can be applied for various endpoints, which may be amended to accommodate further specific requirements. A frameset of parameters including the oral, gastric and small intestinal digestion are outlined and their relevance discussed in relation to available in vivo data and enzymes. This consensus paper will give a detailed protocol and a line-by-line, guidance, recommendations and justifications but also limitation of the proposed model. This harmonised static, in vitro digestion method for food should aid the production of more comparable data in the future.
3,380 citations
Authors
Showing all 11920 results
Name | H-index | Papers | Citations |
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Grant W. Montgomery | 157 | 926 | 108118 |
Paolo Boffetta | 148 | 1455 | 93876 |
John D. Potter | 137 | 795 | 75310 |
Mark A. Tarnopolsky | 115 | 644 | 42501 |
Xiaoming Li | 113 | 1932 | 72445 |
Neil Pearce | 107 | 729 | 105762 |
Andrew N. Sharpley | 105 | 407 | 40599 |
James C. Hogg | 102 | 485 | 45147 |
David A. Wheeler | 102 | 276 | 102005 |
Chris Ryan | 95 | 971 | 34388 |
Peter D. Paré | 95 | 487 | 34648 |
Peter D. Gluckman | 92 | 525 | 33375 |
Anthony P. Farrell | 92 | 495 | 29992 |
Jennifer A. Lewis | 91 | 336 | 36347 |
Andrew Clarke | 89 | 280 | 23979 |