Estimating Functional Relationships Between Fiber Properties and the Strength of Open-End Spun Yarns'

1982 ◽  
Vol 52 (1) ◽  
pp. 35-45 ◽  
Author(s):  
M.D. Ethridge ◽  
J.D. Towery ◽  
J.F. Hembree
2012 ◽  
Vol 2 (3) ◽  
pp. 32-43 ◽  
Author(s):  
J. Ochola ◽  
J. Kisato ◽  
L. Kinuthia ◽  
J. Mwasiagi ◽  
A. Waithaka
Keyword(s):  

1997 ◽  
Vol 67 (9) ◽  
pp. 694-698 ◽  
Author(s):  
Reiyao Zhu ◽  
M. Dean Ethridge

Models for predicting ring or rotor yarn hairiness are built using a back-propagation neural network algorithm. These models are based on fiber property input measured by three different systems, hvi, afis, and fmt. We compare the prediction results from the different models, which reveal that yarn hairiness measurements from hvi data are superior to other models. The optimum model is based on the availability of all three measurement systems. We also study the impact of each fiber property on yarn hairiness. The dominant effect is fiber length. Each of the remaining properties has a different degree of impact on ring or rotor yarn hairiness.


Author(s):  
Julian P. Heath ◽  
Buford L. Nichols ◽  
László G. Kömüves

The newborn pig intestine is adapted for the rapid and efficient absorption of nutrients from colostrum. In enterocytes, colostral proteins are taken up into an apical endocytotic complex of channels that transports them to target organelles or to the basal surface for release into the circulation. The apical endocytotic complex of tubules and vesicles clearly is a major intersection in the routes taken by vesicles trafficking to and from the Golgi, lysosomes, and the apical and basolateral cell surfaces.Jejunal tissues were taken from piglets suckled for up to 6 hours and prepared for electron microscopy and immunocytochemistry as previously described.


1965 ◽  
Vol 57 (2) ◽  
pp. 227-227 ◽  
Author(s):  
Jay C. Murray ◽  
Robert M. Reed ◽  
Ed S. Oswalt
Keyword(s):  

Crop Science ◽  
2008 ◽  
Vol 48 (4) ◽  
pp. 1321-1327 ◽  
Author(s):  
Brian M. Schwartz ◽  
C. Wayne Smith

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