A Preliminary Study on Factors Affecting Software Testing Team Performance

Author(s):  
Tanjila Kanij ◽  
Robert Merkel ◽  
John Grundy
1974 ◽  
Vol 89 (4) ◽  
pp. 880-884 ◽  
Author(s):  
Stanley L. Handelman ◽  
R. Kwasman ◽  
Barbara A. MacIntyre ◽  
Gerald V. Barrett

2018 ◽  
Vol 13 (6) ◽  
pp. 57 ◽  
Author(s):  
Keltoum Chahour ◽  
Rajae Aboulaich ◽  
Abderrahmane Habbal ◽  
Cherif Abdelkhirane ◽  
Nejib Zemzemi

The fractional flow reserve (FFR) provides an efficient quantitative assessment of the severity of a coronary lesion. Our aim is to address the problem of computing non-invasive virtual fractional flow reserve (VFFR). In this paper, we present a preliminary study of the main features of flow over a stenosed coronary arterial portion, in order to enumerate the different factors affecting the VFFR. We adopt a non-Newtonian flow model and we assume that the two-dimensional (2D) domain is rigid in a first place. In a second place, we consider a simplified weakly coupled FSI model in order to take into account the infinitesimal displacements of the upper wall. A 2D finite element solver was implemented using Freefem++. We computed the VFFR profiles with respect to different lesion parameters and compared the results given by the rigid wall model to those obtained for the elastic wall one.


Author(s):  
A. J. Rook ◽  
J. D. Sutton ◽  
J. France

Milk producers in the UK are paid according to their production of milk fat, protein and lactose. The production quota system also includes an element restricting fat production. It is therefore important to be able to predict the changes in production of milk solids arising from changes in feed inputs. There are few published predictive models for this purpose (e.g. Sporndly 1989, Emery, 1978) and none under UK conditions. This is a preliminary study to identify and quantify some of the factors affecting yields of milk constituents as a first stage in the development of predictive models.


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