Effect of solubility on the determination of the protonable surface site density of oxyhydroxides

2004 ◽  
Vol 269 (2) ◽  
pp. 274-282 ◽  
Author(s):  
G Lefèvre ◽  
M Duc ◽  
M Fédoroff
Keyword(s):  
Surface Site ◽  
Site Density

scholarly journals CNN-based visual analysis to study local boiling characteristics

2021 ◽  
Vol 2119 (1) ◽  
pp. 012068
Author(s):  
A N Chernyavskiy ◽  
I P Malakhov
Keyword(s):  
Network Architecture ◽  
High Speed ◽  
Visual Analysis ◽  
Nucleation Site ◽  
High Speed Video ◽  
Site Density ◽  
Segmentation Approach ◽  
Nucleation Site Density ◽  
Instance Segmentation

Abstract Visual analysis allows an estimate of different local boiling characteristics including bubble growth rate, departure diameters and frequencies of nucleation, nucleation site density and evolution of bubbles and dry spots in time. At the same time, visual determination of the presented characteristics in case of big amounts of data requires the development of the appropriate software which will allow not only determination of bubble location, but also an estimate of their sizes based on high-speed video. The presented problem can be solved by using the instance segmentation approach based on a convolutional neural network. In the presented work Mask R-CNN network architecture was used for estimation of the local boiling characteristics.

scholarly journals Determination of the range in binding-site densities of rat skin heparin chains with high binding affinities for antithrombin

1988 ◽  
Vol 251 (1) ◽  
pp. 141-145 ◽  
Author(s):  
A A Horner ◽  
M Kusche ◽  
U Lindahl ◽  
C B Peterson
Keyword(s):  
Chemical Analysis ◽  
Binding Site ◽  
Binding Affinity ◽  
Intrinsic Fluorescence ◽  
Binding Affinities ◽  
Rat Skin ◽  
High Binding ◽  
Site Density ◽  
High Binding Affinity

Rat skin heparin proteoglycans vary markedly in the proportions of their constituent polysaccharide chains that have high binding affinity for antithrombin. As the proportion of such chains in a proteoglycan rises, their degree of affinity for antithrombin also increases [Horner (1987) Biochem. J. 244, 693-698]. The antithrombin-binding-site densities of such chains have now been determined, by measuring heparin-induced enhancement of the intrinsic fluorescence of antithrombin and by chemical analysis for the disaccharide sequence glucuronosyl-N-sulphoglucosaminyl (3,6-di-O-sulphate), which is unique to this site in heparin [Lindahl, Bäckström, Thunberg & Leder (1980) Proc. Natl. Acad. Sci. U.S.A. 77, 6551-6555]. Antithrombin-binding-site density ranged from one to five sites per chain.

Questions on inverse application of method of logit-analysis for predioction of weight of factors causing landslides

2017 ◽  
Vol 927 (9) ◽  
pp. 60-63
Author(s):  
J.T. Mehdiyev
Keyword(s):  
Quantitative Methods ◽  
Accurate Determination ◽  
Logit Analysis ◽  
Logistic Regression Models ◽  
Probability Of Occurrence ◽  
Qualitative And Quantitative Methods ◽  
Site Density ◽  
Stability Of Slopes ◽  
Landslide Hazards

It is noted that non-stability of slopes is determined by different interrelated spatial, geological and hydrological processes. To study the landslide areas both the qualitative and quantitative methods are used. The qualitative methods include the maps of land plots prone to landslides and the quantitative ones include maps of landslide hazards where the probability of happening of such processes are noted. The considered cases where the probability of occurrence of landslide is known with some degree of accuracy on the basis of previous experience or statistical data and the accurate determination of impact of any factor on probability of occurrence of the process is required. One of methods of quantitative estimates of probability of landslide is the logistic regression models. In the article the possibility for utilization of inverse task of logit analysis for research of weight of factors leading to landslides are analyzed. Such factors include aspect, steepness, density of vegetation, elevation of site, density of lineaments etc. It is shown that the method of logit analysis, frequently used for determination of probability of occurrence of different natural calamities including landslides also can be used for solution of inverse tasks, especially for determination of weight factors upon presence of data on other used parameters.

Evaluating the biogas conversion potential of sewage sludge by surface site density of sludge particulate

2017 ◽  
Vol 327 ◽  
pp. 1184-1191 ◽  
Author(s):  
Ying Xu ◽  
Yiqing Lu ◽  
Xiaohu Dai ◽  
Bin Dong
Keyword(s):  
Sewage Sludge ◽  
Surface Site ◽  
Site Density

scholarly journals Surface site density, silicic acid retention and transport properties of compacted magnetite powder

2008 ◽  
Vol 33 (14-16) ◽  
pp. 991-999 ◽  
Author(s):  
C. Mayant ◽  
B. Grambow ◽  
A. Abdelouas ◽  
S. Ribet ◽  
S. Leclercq
Keyword(s):  
Transport Properties ◽  
Silicic Acid ◽  
Surface Site ◽  
Site Density

scholarly journals Studies of heterogeneous freezing by three different desert dust samples

2009 ◽  
Vol 9 (8) ◽  
pp. 2805-2824 ◽  
Author(s):  
P. J. Connolly ◽  
O. Möhler ◽  
P. R. Field ◽  
H. Saathoff ◽  
R. Burgess ◽  
...  
Keyword(s):  
Sharp Increase ◽  
Active Surface ◽  
Ice Nucleation ◽  
Surface Site ◽  
Smooth Curves ◽  
Site Density ◽  
Cloud Models ◽  
Active Surface Site ◽  
Three Samples ◽  
Good Agreement

Abstract. We present results of experiments at the aerosol interactions and dynamics in the atmosphere (AIDA) chamber facility looking at the freezing of water by three different types of mineral particles at temperatures between −12°C and −33°C. The three different dusts are Asia Dust-1 (AD1), Sahara Dust-2 (SD2) and Arizona test Dust (ATD). The dust samples used had particle concentrations of sizes that were log-normally distributed with mode diameters between 0.3 and 0.5 μm and standard deviations, σg, of 1.6–1.9. The results from the freezing experiments are consistent with the singular hypothesis of ice nucleation. The dusts showed different nucleation abilities, with ATD showing a rather sharp increase in ice-active surface site density at temperatures less than −24°C. AD1 was the next most efficient freezing nuclei and showed a more gradual increase in activity than the ATD sample. SD2 was the least active freezing nuclei. We used data taken with particle counting probes to derive the ice-active surface site density forming on the dust as a function of temperature for each of the three samples and polynomial curves are fitted to this data. The curve fits are then used independently within a bin microphysical model to simulate the ice formation rates from the experiments in order to test the validity of parameterising the data with smooth curves. Good agreement is found between the measurements and the model for AD1 and SD2; however, the curve for ATD does not yield results that agree well with the observations. The reason for this is that more experiments between −20 and −24°C are needed to quantify the rather sharp increase in ice-active surface site density on ATD in this temperature regime. The curves presented can be used as parameterisations in atmospheric cloud models where cooling rates of approximately 1°C min−1 or more are present to predict the concentration of ice crystals forming by the condensation-freezing mode of ice nucleation. Finally a polynomial is fitted to all three samples together in order to have a parameterisation describing the average ice-active surface site density vs. temperature for an equal mixture of the three dust samples.

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