Analytical Model of Fractal Aggregate Stability and Restructuring in Shear Flows

2014 ◽  
Vol 53 (22) ◽  
pp. 9109-9119 ◽  
Author(s):  
Breanndan O. Conchuir ◽  
Yogesh M. Harshe ◽  
Marco Lattuada ◽  
Alessio Zaccone
Keyword(s):  
Analytical Model ◽  
Shear Flows ◽  
Aggregate Stability ◽  
Fractal Aggregate

An analytical model for conflict dynamics

1997 ◽  
Vol 48 (10) ◽  
pp. 978-987
Author(s):  
N Gass
Keyword(s):  
Analytical Model

Simple quasi-two-dimensional analytical model to characterise the electric field in an LDD MOSFET

1990 ◽  
Vol 137 (4) ◽  
pp. 291
Author(s):  
R.H. Patel ◽  
D.-L. Kwong ◽  
N. Herr
Keyword(s):  
Electric Field ◽  
Analytical Model ◽  
Two Dimensional

ANALYTICAL MODEL OF SUPEREXCHANGE

1988 ◽  
Vol 49 (C8) ◽  
pp. C8-911-C8-912
Author(s):  
Yu. V. Rakitin ◽  
V. T. Kalinnikov
Keyword(s):  
Analytical Model

Lack of Stability of Aggregates after Thrombin-Induced Reaggregation of Thrombin-Degranulated Platelets

1992 ◽  
Vol 67 (04) ◽  
pp. 453-457 ◽  
Author(s):  
Raelene L Kinlough-Rathbone ◽  
Marian A Packham ◽  
Dennis W Perry ◽  
J Fraser Mustard ◽  
Marco Cattaneo
Keyword(s):  
Von Willebrand Factor ◽  
Platelet Rich Plasma ◽  
Thrombus Formation ◽  
Aggregate Stability ◽  
Relative Importance ◽  
Platelet Aggregates ◽  
The Stability ◽  
Von Willebrand ◽  
Induced Aggregation ◽  
Willebrand Factor

SummaryThe stability of platelet aggregates is influenced by the extent of the release of granule contents; if release is extensive and aggregation is prolonged, deaggregation is difficult to achieve. The relative importance of the contributions of released substances to aggregate stability are not known, although stable thrombin-induced aggregates form in platelet-rich plasma from patients with barely detectable plasma or platelet fibrinogen, and ADP stabilizes thrombin-induced aggregates of platelets from patients with delta storage pool deficiency which otherwise deaggregate more readily than normal platelets. We degranulated platelets with thrombin (0.9 U/ml caused greater than 90% loss of delta and alpha granule contents) and recovered them as individual platelets in fresh medium. The degranulated platelets were reaggregated by thrombin (2 U/ml). To prevent continuing effects of thrombin, FPRCH2C1 was added when thrombin-induced aggregation of thrombin-degranulated platelets reached its maximum. EDTA (5 mM) or EGTA (5 mM) added at maximum aggregation did not deaggregate these platelets, indicating that the stability of these aggregates does not depend on Ca2+ in the medium. Whereas with control platelets a combination of PGE1 (10 μM) and chymotrypsin(10 U/ml) was required for deaggregation, with thrombin-degranulated platelets either PGE1 or chymo-trypsin alone caused extensive deaggregation. The rate and extent of deaggregation of thrombin-degranulated platelets by a combination of PGE1 and chymotrypsin was greater than with control platelets.Electron microscope gold immunocytochemistry using antihuman fibrinogen IgG, anti-von Willebrand factor and anti-fibronectin showed a) that fibrinogen in the vacuoles of degranulated platelets was visible at focal points of platelet contact in the aggregates, but that large areas of platelet contact had no fibrinogen detectable between them; and b) in comparison to fibrinogen, little fibronectin or von Willebrand factor (vWf) was detectable in the platelets.Since the linkages between thrombin-degranulated platelets reaggregated by thrombin can be disrupted either by raising cAMP (thus making glycoprotein IIb/IIIa unavailable) or by proteolysis, these linkages are less stable than those formed between normal platelets. It might therefore be expected that platelets that take part in thrombus formation and then recirculate are likely to form less stable thrombi than platelets that have not released their granule contents.

Coding Algorithm for Grayscale Images – Design of Piecewise Uniform Quantizer with Golomb–Rice Code and Novel Analytical Model for Performance Analysis

Informatica ◽  
2017 ◽  
Vol 28 (4) ◽  
pp. 703-724 ◽  
Author(s):  
Nikola Simić ◽  
Zoran H. Perić ◽  
Milan S. Savić
Keyword(s):  
Performance Analysis ◽  
Analytical Model ◽  
Grayscale Images

ANALYTICAL MODEL FOR ENVIRONMENTAL IMPACT OF SOLID WASTE DISPOSAL FROM ELECTRICITY GENERATION

2002 ◽  
Vol 4 (1-2) ◽  
pp. 26
Author(s):  
Paulo Fernando Lavalle Heilbron Filho ◽  
Jesus Salvador Perez Guerrero ◽  
Elizabeth May Pontedeiro ◽  
Nerbe J. Ruperti, Jr. ◽  
Renato M. Cotta
Keyword(s):  
Environmental Impact ◽  
Solid Waste ◽  
Analytical Model ◽  
Waste Disposal ◽  
Electricity Generation ◽  
Solid Waste Disposal
Sign in / Sign up

Export Citation Format

Share Document