全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Tormod Næs , Ellen Mosleth Færgestad , John Cornell
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 1998, Vol.41 (2), pp.221-235Elsevier
摘要:Abstract(#br)The present paper is a study of the use of robust design methodology in a three-component mixture experiment containing two process variables. The mixture components are three wheat flours and the process variables are mixing time and proofing time of the dough. The ...
作者:Ellen Mosleth Færgestad , Maan Singh Sidhu
来源:[J].Meat Science(IF 2.754), 2008, Vol.81 (3), pp.487-492Elsevier
摘要:Abstract(#br)We have used proteomics as a tool to unravel the changes in protein composition between two pure pig breeds and three age groups. Forty two female pigs of Norwegian Landrace and Duroc breed slaughtered at 6, 9 and 12 months age were included in the study. Each of the...
作者:... Xiaohong Jia , Ellen Mosleth Færgestad , Kjell Ivar Hildrum
来源:[J].Meat Science(IF 2.754), 2007, Vol.77 (1), pp.97-104Elsevier
摘要:Abstract(#br)The proteome is expressed from the genome, influenced by environmental and processing conditions, and can be seen as the molecular link between the genome and the functional quality characteristics of the meat. In contrast to traditional biochemical methods where one...
作者:... Bjørn Egelandsdal , Bjørn-Helge Mevik , Ellen Mosleth Færgestad
来源:[J].LWT - Food Science and Technology(IF 2.546), 2003, Vol.37 (5), pp.527-538Elsevier
摘要:Abstract(#br)Mathematical programming is an optimization technique, which can be used to simultaneously ensure several qualities of a product (cost, chemical composition, product characteristics, etc.). This requires mathematical models for the qualities, and especially different...
作者:... Anette Aamodt , Ellen Mosleth Færgestad , Tormod Næs
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2003, Vol.67 (2), pp.79-93Elsevier
摘要:Abstract(#br)Often one type of raw material is used for different, but related products. Since raw material quality can be variable, some batches/entities of raw materials may be better suited for one type of product than others. A methodology for sorting raw materials into diffe...
作者:Kristian Hovde Liland , Ellen Mosleth Færgestad
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2009, Vol.96 (2), pp.172-181Elsevier
摘要:Abstract(#br)Analysing experimental design data is usually performed by analysis of variance (ANOVA). In situations where the higher orders of interactions hold the most relevant information, generalised multiplicative analysis of variance (GEMANOVA), which is based on parallel f...
作者:Tormod Næs , Frøydis Bjerke , Ellen Mosleth Færgestad
来源:[J].Food Quality and Preference(IF 2.43), 1999, Vol.10 (3), pp.209-217Elsevier
摘要:Abstract(#br)This paper compares design and analysis techniques for mixtures. The main focus is on comparing a statistical treatment taking the mixture aspect fully into account and another where only a subset of the mixture variables is considered both in the design phase a...
作者:Ellen Mosleth Færgestad , Marit Risberg Ellekjær
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2001, Vol.55 (1), pp.133-145Elsevier
摘要:Abstract(#br)Unwanted variation due to variable raw material quality is often a problem in production processes. Robust process optimization seeks to reduce the effects of such variation by identifying settings of the adjustable factors that makes the process less sensitive to th...

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