Log-Normal Derived Equations for the Characterization of On-Line Acquired Chromatographic Peaks

1991 ◽  
Vol 29 (2) ◽  
pp. 70-77 ◽  
Author(s):  
J. Olive ◽  
J. O. Grimalt
2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.


2001 ◽  
Vol 32 ◽  
pp. 385-386
Author(s):  
TH. KAUFFELDT ◽  
E. KAUFFELDT ◽  
T. ZARUTSKAYA ◽  
M. SHAPIRO ◽  
A. SCHMIDT-OTT

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Arnaud Millet

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.


2011 ◽  
Author(s):  
Cristian Svetina ◽  
Alessandro Abrami ◽  
Ivan Cudin ◽  
Claudio Fava ◽  
Simone Gerusina ◽  
...  

2008 ◽  
Vol 1183 (1-2) ◽  
pp. 65-75 ◽  
Author(s):  
C. Temporini ◽  
L. Dolcini ◽  
A. Abee ◽  
E. Calleri ◽  
M. Galliano ◽  
...  

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