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Entropy approach to comparison of images [Text] / E. N. Kirsanova, M. G. Sadovsky // Open Syst. Inf. Dyn. - 2001. - Vol. 8, Is. 2. - P. 183-199, DOI 10.1023/A:1011962818766. - Cited References: 10 . - ISSN 1230-1612

РУБ Thermodynamics + Computer Science, Information Systems + Mathematics, Applied + Mechanics + Physics, Mathematical + Statistics & Probability

Аннотация: Basically new pattern recognition method is implemented to compare two (or several) digital images. The method has neither feature alphabet, nor pattern dictionary recovery stages. It compares input images due to a special object called palette built from fragments of images. The measures to estimate the distances between images are based on a determination of the specific entropy of the frequency dictionary of all image with respect to the palettes that latter presents the statistical ancestor of the group of the images under comparison. The palette is defined as the frequency dictionary with frequencies of the fragments equal to arithmetic mean of the frequencies of the same fragments from the images to be compared. Such definition yields a minimum of the sum of specific entropies of the compared images with respect to the palette. Some preliminary results in the application of the method in pattern recognition and synergistics problems are presented. The limitations and basic properties of the method are discussed.

WOS
Держатели документа:
Krasnoyarsk State Tech Univ, Krasnoyarsk 660074, Russia
Russian Acad Sci, Ctr Comp, Siberian Div, Krasnoyarsk 660036, Russia
Russian Acad Sci, Inst Biophys, Siberian Div, Krasnoyarsk 660036, Russia
ИБФ СО РАН
ИВМ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kirsanova, E.N.; Sadovsky, M.G.

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Entropy approach in the analysis of anisotropy of digital images [Text] / E. N. Kirsanova, M. G. Sadovsky // Open Syst. Inf. Dyn. - 2002. - Vol. 9, Is. 3. - P. 239-250, DOI 10.1023/A:1019704411382. - Cited References: 15 . - ISSN 1230-1612

РУБ Thermodynamics + Computer Science, Information Systems + Mathematics, Applied + Mechanics + Physics, Mathematical + Statistics & Probability

Аннотация: Anisotropy is assumed to be the difference of a plane object observed in different dimensions. For digital images, anisotropy is determined in two ways. The first one is based on the comparison of mosaics bearing rectangular smalts developed in different (perpendicular, to be exact) directions. The comparison is provided through an intermediate mosaic called palette, that is the mosaic with the frequency of smalts equal to arithmetic mean of the frequency of smalts of compared mosaics. The latter is based on the calculation of the information capacity of the mosaics developed in different directions. The information capacity is the specific entropy of real mosaic calculated against the reconstructed one bearing the most probable expansions of smaller smalts. The problem of test object is discussed.

WOS
Держатели документа:
Krasnoyarsk State Tech Univ, Krasnoyarsk 660074, Russia
Russian Acad Sci, Inst Biophys, Siberian Div, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kirsanova, E.N.; Sadovsky, M.G.

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Comparison of symbol sequences: No editing, no alignment [Text] / M. G. Sadovsky // Open Syst. Inf. Dyn. - 2002. - Vol. 9, Is. 1. - P. 19-36, DOI 10.1023/A:1014278811727. - Cited References: 12 . - ISSN 1230-1612

РУБ Thermodynamics + Computer Science, Information Systems + Mathematics, Applied + Mechanics + Physics, Mathematical + Statistics & Probability
Рубрики:
MULTIPLE
Аннотация: The new method to compare two (or several) symbol sequences is developed. The method is based on the comparison of the frequencies of the small fragments of the compared sequences; it requires no string editing or other transformations of the compared objects. The comparison is provided through a calculation of the specific entropy of a frequency dictionary against the special dictionary called the hybrid one; the latter is the statistical ancestor of the group of sequences to be compared. Some applications of the method developed to genetics, bioinformatics, and linguistics axe discussed.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Div, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sadovsky, M.G.

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Information capacity of symbol sequences [Text] / M. G. Sadovsky // Open Syst. Inf. Dyn. - 2002. - Vol. 9, Is. 1. - P. 37-49, DOI 10.1023/A:1014230928565. - Cited References: 23 . - ISSN 1230-1612

РУБ Thermodynamics + Computer Science, Information Systems + Mathematics, Applied + Mechanics + Physics, Mathematical + Statistics & Probability
Рубрики:
REDUNDANCY
INTRONS
Аннотация: The information capacity of sequences is considered through the calculation of specific entropy of their frequency dictionary. The specific entropy was calculated against the reconstructed dictionary which bears the most probable continuations of shorter strings. The measure developed allows to distinguish the sequences both from the random ones, and those with high level of (rather simple) order. Some applications of the developed methodology to genetics, bioinformatics, and linguistics axe discussed.

WOS
Держатели документа:
Russian Acad Sci, Siberian Div, Inst Biophys, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sadovsky, M.G.

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The method to compare nucleotide sequences based on the minimum entropy principle [Text] / M. G. Sadovsky // Bull. Math. Biol. - 2003. - Vol. 65, Is. 2. - P. 309-322, DOI 10.1016/S0092-8240(02)00107-6. - Cited References: 20 . - ISSN 0092-8240

РУБ Biology + Mathematical & Computational Biology
Рубрики:
GENOME
Аннотация: A new method to compare two (or several) symbol sequences is developed. The method is based on the comparison of the frequencies of the small fragments of the compared sequences; it requires neither string editing, nor other transformations of the compared objects. The comparison is executed through a calculation of the specific entropy of a frequency dictionary against the special dictionary called the hybrid one; this latter is the statistical ancestor of the group of sequences under comparison. Some applications of the developed method in the fields of genetics and bioinformatics are discussed. (C) 2003 Society for Mathematical Biology. Published by Elsevier Science Ltd. All rights reserved.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Div, Akad Gorodok, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sadovsky, M.G.

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Data loss reparation due to indeterminate fine-grained parallel computation [Text] / E. O. Gorbunova, Y. V. Kondratenko, M. G. Sadovsky ; ed. PMA Sloot [et al.] // COMPUTATIONAL SCIENCE - ICCS 2003, PT II, PROCEEDINGS. Ser. LECTURE NOTES IN COMPUTER SCIENCE : SPRINGER-VERLAG BERLIN, 2003. - Vol. 2658: International Conference on Computational Science (ICCS 2003) (JUN 02-04, 2003, MELBOURNE, AUSTRALIA). - P. 794-801. - Cited References: 6 . - ISBN 0302-9743. - ISBN 3-540-40195-4

РУБ Computer Science, Interdisciplinary Applications + Computer Science, Software Engineering + Computer Science, Theory & Methods

Аннотация: The new method of a gap recovery in symbol sequences is presented. A covering is combined from the suitable reasonably short strings of the parts of a sequence available for an observation. Two criteria are introduced to choose the best covering. It must yield the maximum of entropy of a frequency dictionary developed over the sequence obtained due to the recovery, if an overlapping combined from the copies of strings from the available parts of the sequence exists. The second criterion identifies the best covering in case when one has to use any string to cover the gap; here the best covering must yield the minimum of specific entropy of the frequency dictionary developed over the available parts of the sequence against that one developed over the entire sequence obtained due to the recovery. Kirdin kinetic machine that is the ideal fine-grained structureless computer has been used to resolve the problem of the reconstruction of a gap in symbol sequence.

WOS
Держатели документа:
SB RAS, Inst Computat Modelling, Krasnoyarsk 660036, Russia
Krasnoyarsk State Univ, Krasnoyarsk 660042, Russia
SB RAS, Inst Biophys, Krasnoyarsk 660036, Russia
ИБФ СО РАН
ИВМ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Gorbunova, E.O.; Kondratenko, Y.V.; Sadovsky, M.G.; Sloot, PMA \ed.\; Abramson, D \ed.\; Bogdanov, AV \ed.\; Dongarra, JJ \ed.\; Zomaya, AY \ed.\; Zomaya, A \ed.\

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Comparison of real frequencies of strings vs. the expected ones reveals the information capacity of macromoleculae [Text] / M. G. Sadovsky // J. Biol. Phys. - 2003. - Vol. 29, Is. 1. - P. 23-38, DOI 10.1023/A:1022554613105. - Cited References: 45 . - ISSN 0092-0606

РУБ Biophysics
Рубрики:
DNA-SEQUENCE
ENTROPY
REDUNDANCY
Кл.слова (ненормированные):
dictionary -- entropy -- information capacity -- Markov model -- ordered sequence -- random sequence -- reconstructed dictionary -- specific entropy
Аннотация: The information capacity of nucleotide sequences is defined through the calculation of specific entropy of their frequency dictionary. The specific entropy of the frequency dictionary is calculated against the reconstructed dictionary; this latter bears the most probable continuations of the shorter strings. This developed measure allows to distinguish the sequences both from the randons ones, and from those with high level of (rather simple) order. Some implications of the developed methodology in the fields of genetics, bioinformatics, and molecular biology are discussed.

WOS
Держатели документа:
Russian Acad Sci, Siberian Div, Inst Biophys, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sadovsky, M.G.

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Entropy based approach to data loss reparation through the indeterminate fine-grained parallel computation [Text] / E. O. Nemenchinskaya, Y. V. Kondratenko, M. G. Sadovsky // Open Syst. Inf. Dyn. - 2004. - Vol. 11, Is. 2. - P. 161-175, DOI 10.1023/B:OPSY.0000034194.24443.22. - Cited References: 27 . - ISSN 1230-1612

РУБ Thermodynamics + Computer Science, Information Systems + Mathematics, Applied + Mechanics + Physics, Mathematical + Statistics & Probability
Рубрики:
IMAGE SEQUENCES
MISSING DATA
RECOVERY
Аннотация: The new method of a gap recovery in symbol sequences is presented. A covering is combined from the suitable reasonably short strings of the parts of a sequence available for observation. Two criteria are introduced to choose the best covering. It must yield the maximum of entropy of a frequency dictionary developed over the sequence obtained due to the recovery, if an overlapping combined from the copies of strings from the available parts of the sequence exists. The second criterion identifies the best covering in case when one has to use any string to cover the gap; here the best covering must yield the minimum of specific entropy of the frequency dictionary developed over the available parts of the sequence against the one developed over the entire sequence obtained due to the recovery. Kirdin kinetic machine which is the ideal fine-grained structureless computer has been used to resolve the problem of the reconstruction of a gap in symbol sequence.

WOS
Держатели документа:
RAS, Inst Computat Modelling, Moscow, Russia
Krasnoyarsk State Univ, Krasnoyarsk, Russia
RAS, Inst Biophys SD, Moscow, Russia
ИБФ СО РАН
ИВМ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Nemenchinskaya, E.O.; Kondratenko, Y.V.; Sadovsky, M.G.

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Thermal Inactivation of Butyrylcholinesterase in Starch and Gelatin Gels / V. I. Lonshakova-Mukina, E. N. Esimbekova, V. A. Kratasyuk // Catalysts. - 2021. - Vol. 11, Is. 4. - Ст. 492, DOI 10.3390/catal11040492. - Cited References:39. - The research was funded by the Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science, and the Russian Foundation for Basic Research [project No 20-44-242001]. . - ISSN 2073-4344

РУБ Chemistry, Physical

Кл.слова (ненормированные):
butyrylcholinesterase -- thermal inactivation -- enzyme stability -- kinetics -- starch -- gelatin
Аннотация: The present study demonstrates a simple approach to enhancing thermal stability of butyrylcholinesterase (BChE) by using natural polymers. Analysis of thermal inactivation of the tetrameric BChE in starch and gelatin gels at 50-64 degrees C showed that thermal inactivation followed second-order kinetics and involved two alternating processes of BChE inactivation, which occurred at different rates (fast and slow processes). The activation enthalpy Delta H-# and the activation entropy Delta S-# for BChE in starch and gelatin gels were evaluated. The values of Delta H-# for the fast and the slow thermal inactivation of BChE in starch gel were 61 +/- 3, and 22 +/- 2 kcal/mol, respectively, and the values of Delta S-# were 136 +/- 12 and -2.03 +/- 0.05 cal center dot K-1 center dot mol(-1), respectively. Likewise, the values of Delta H-# for BChE in gelatin gel were 58 +/- 6 and 109 +/- 11 kcal/mol, and the values of Delta S-# were 149 +/- 16 and 262 +/- 21 cal center dot K-1 center dot mol(-1), respectively. The values of the activation parameters obtained in this study suggest that starch gel produced a stronger stabilizing effect on BChE exposed to elevated temperatures over long periods compared with gelatin gel.

WOS
Держатели документа:
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, Biophys Dept, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Siberian Branch, Inst Biophys, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Lonshakova-Mukina, Victoria I.; Esimbekova, Elena N.; Kratasyuk, Valentina A.; Government of Krasnoyarsk Territory; Krasnoyarsk Regional Fund of Science; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [20-44-242001]

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