Statistical analysis of thermal and nonthermal effects of sequential microwave/aeration process for the removal of ammonia from aqueous solution

2015 ◽  
Vol 57 (42) ◽  
pp. 20005-20015
Author(s):  
Sainan Dong ◽  
Majid Sartaj
2014 ◽  
Vol 55 (2) ◽  
pp. 555-563 ◽  
Author(s):  
Roshanak Rezaei Kalantary ◽  
Yousef Dadban Shahamat ◽  
Mahdi Farzadkia ◽  
Ali Esrafili ◽  
Hosseinali Asgharnia

2010 ◽  
Vol 24 (3-4) ◽  
pp. 445-448 ◽  
Author(s):  
S. J. Espinoza Herrera ◽  
J. Štepánek

Raman titration experiment with magnesium salt added gradually to aqueous solution of duplexes formed by RNA homopolynucleotides polyU and polyA was performed to reveal its effect on homopolynucleotide complexes. Statistical analysis of obtained spectral set has confirmed the effect already found by less structurally sensitive methods [Nucleic Acids Res.31(17) (2003), 5101–5107] that at sufficiently high concentrations magnesium causes transformation of polyU·polyA duplexes to polyU·polyA·polyU triplexes and single polyA strands. It was found that at relatively high polynucleotide concentrations used in Raman experiment, the threshold magnesium concentration for this effect is above the concentration of duplex basepairs in solution. Due to the strong spectral changes attributed to the varied percentages of duplexes, triplexes and single strands, it was not possible to register weaker direct Raman signs of the magnesium binding to polynucleotide strand.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


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