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1.


   
    Information technology of satellite data processing for global ocean surface gradient characteristics calculation / N. A. Ogorodov, A. V. Kartushinsky // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P434-439
Кл.слова (ненормированные):
Format conversion -- Frontal zones -- Global data -- Gradientfields -- Mean seasonal variability -- Regional features -- Spatial averaging -- Computer software -- Monitoring -- Oceanography -- Satellites -- Format conversion -- Frontal zones -- Global data -- Gradientfields -- Regional feature -- Seasonal variability -- Spatial averaging -- Data handling
Аннотация: The structural components of information technology and software tools for calculating gradient characteristics of the global ocean surface based on satellite data are considered. The examples of calculation of the global ocean surface gradient fieldsusing information technology and software tools based on satellite data are submitted. A spatial-temporal averaging of gradients in accordance with scales of hydrophysical processes is discussed. The problems of spatial-temporal scaling and averaging of computed regions of the global ocean are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ogorodov, N. A.; Kartushinsky, A. V.

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2.


   
    Net primary production in forest ecosystem of middle siberia: Assessment using a model of tree component phytomass distribution / Y. Ivanova, V. Soukhovolsky // Climate Change Impacts on High-Altitude Ecosystems . - 2015. - P627-635, DOI 10.1007/978-3-319-12859-7_25 . - ISBN 9783319128597 (ISBN); 9783319128580 (ISBN)
Кл.слова (ненормированные):
Forest stands of middle siberia -- Net primary production (NPP) -- Root phytomass
Аннотация: The authors propose several methods of net primary production (NPP) evaluation for tree stands of Middle Siberia. The authors’ approach is based on the model of the distribution of tree (tree stand) phytomass among different tree components (stem, roots, branches, foliage) using the Zipf-Pareto equation. This model can be used not only to calculate the phytomass and NPP of the tree aboveground parts but also to determine quite accurately the phytomass and NPP of the roots. Several approaches to calculation of tree stand NPP have been proposed, depending on the amount of available data. © Springer International Publishing Switzerland 2015.

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
V. N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Soukhovolsky, V.

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3.


   
    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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4.


   
    Modeling a lunar base mushroom farm / V. S. Kovalev, W. Grandl, N. S. Manukovsky [et al.] // Life Sci. Space Res. - 2022. - Vol. 33. - P1-6, DOI 10.1016/j.lssr.2021.12.005. - Cited References:31 . - ISSN 2214-5524. - ISSN 2214-5532
РУБ Astronomy & Astrophysics + Biology + Multidisciplinary Sciences
Рубрики:
SUPPORT
   CULTIVATION

Кл.слова (ненормированные):
Mushroom -- Module -- Structure -- Design -- Calculation
Аннотация: To calculate the equivalent system mass of mushrooms, a conceptual configuration of a mushroom farm as part of a bioregenerative life support system on an inhabited lunar base was designed. The mushroom farm consists of two connected modules. Each module is a double-shell rigid pipe-in-pipe aluminum structure. The first module is used to prepare and sterilize the substrate, while the mushrooms are sown and grown in the second module. Planned productivity of the mushroom farm is 28 kg of fresh mushrooms per one process cycle lasting 66 days for 14 consumers. Mushroom production can be increased using additional modules. The calculated equivalent system masses of the mushroom farm and the mushrooms produced therein is 88,432 kg and 31,550 kg per 1 kg of dry mushrooms in one process cycle, respectively. At that, the biggest contributor to the equivalent system mass of mushrooms is the total pressurized volume of the farm - 68%. The results obtained may be a prerequisite for performing trade-off studies between different configurations of mushroom farm and calculating a space diet using the equivalent system mass of mushrooms.

WOS
Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Biophys, Moscow, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.

Доп.точки доступа:
Kovalev, V. S.; Grandl, W.; Manukovsky, N. S.; Tikhomirov, A. A.; Bock, C.

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5.


   
    Seasonal formation of annual rings on the scales of Baikal grayling inhabiting the middle reaches of the Yenisei River under altered temperature regime / I. V. Zuev, P. Y. Andrushchenko, T. A. Zotina // Environ. Biol. Fishes. - 2021, DOI 10.1007/s10641-021-01155-y. - Cited References:40. - The research was supported by the grant of Russian Foundation for Basic Research, Government of the Krasnoyarsk Territory, and Krasnoyarsk Regional Scientific Foundation No. 20-44-240009. . - Article in press. - ISSN 0378-1909. - ISSN 1573-5133
РУБ Ecology + Marine & Freshwater Biology
Рубрики:
THYMALLUS-ARCTICUS
   FLOW REGULATION

   SOCKEYE-SALMON

   SOMATIC GROWTH

Кл.слова (ненормированные):
Thymallus baicalensis -- Thymallus arcticus -- Number of circuli -- No-growth -- time -- Seasonal migration
Аннотация: The seasonal formation of annual rings on the scales of Baikal grayling from the middle reaches of the Yenisei River has been studied to find out the reasons for the high growth rate of the grayling under altered temperature regime downstream of the dam of the Krasnoyarsk Hydroelectric Plant. The number of circuli outside the last identified annuli and in the second, third, and fourth completed annuli was estimated on 569 fish caught during the annual cycle. The von Bertalanffy growth function was used to describe the increment in the number of circuli over a year. The calculation showed that a new annual ring was produced in July. In November, there was no statistically significant difference between the circulus number in scale increment and the circulus number in the corresponding completed annuli of older fish. Thus, despite the increased duration of the period with optimal water temperatures downstream of the dam of the Krasnoyarsk Hydroelectric Plant, fish growth was observed in a limited period of the year, from July to November. The probable reason for the high growth rate of grayling in the study area is that the fish do not have to waste energy on seasonal migration to the tributaries. Taking into account that grayling biomass production in the middle Yenisei occurs from July to November, we can recommend shifting the dates of commercial fishing for grayling to the end of this period-November-December.

WOS
Держатели документа:
Siberian Fed Univ, Inst Fundamental Biol & Biotechnol, 79 Svobodny, Krasnoyarsk 660041, Russia.
Inst Biophys, Fed Res Ctr Krasnoyarsk Sci Ctr SB RAS, Akademgorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Zuev, Ivan V.; Andrushchenko, Pavel Yu.; Zotina, Tatiana A.; Russian Foundation for Basic Research, Government of the Krasnoyarsk Territory; Krasnoyarsk Regional Scientific Foundation [20-44-240009]

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6.


   
    Seasonal formation of annual rings on the scales of Baikal grayling inhabiting the middle reaches of the Yenisei River under altered temperature regime / I. V. Zuev, P. Y. Andrushchenko, T. A. Zotina // Environ. Biol. Fishes. - 2021, DOI 10.1007/s10641-021-01155-y . - Article in press. - ISSN 0378-1909
Кл.слова (ненормированные):
No-growth time -- Number of circuli -- Seasonal migration -- Thymallus arcticus -- Thymallus baicalensis
Аннотация: The seasonal formation of annual rings on the scales of Baikal grayling from the middle reaches of the Yenisei River has been studied to find out the reasons for the high growth rate of the grayling under altered temperature regime downstream of the dam of the Krasnoyarsk Hydroelectric Plant. The number of circuli outside the last identified annuli and in the second, third, and fourth completed annuli was estimated on 569 fish caught during the annual cycle. The von Bertalanffy growth function was used to describe the increment in the number of circuli over a year. The calculation showed that a new annual ring was produced in July. In November, there was no statistically significant difference between the circulus number in scale increment and the circulus number in the corresponding completed annuli of older fish. Thus, despite the increased duration of the period with optimal water temperatures downstream of the dam of the Krasnoyarsk Hydroelectric Plant, fish growth was observed in a limited period of the year, from July to November. The probable reason for the high growth rate of grayling in the study area is that the fish do not have to waste energy on seasonal migration to the tributaries. Taking into account that grayling biomass production in the middle Yenisei occurs from July to November, we can recommend shifting the dates of commercial fishing for grayling to the end of this period—November–December. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.

Scopus
Держатели документа:
Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 79 Svobodny av, Krasnoyarsk, 660041, Russian Federation
Institute of Biophysics, Federal Research Center “Krasnoyarsk Science Center SB RAS”, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Zuev, I. V.; Andrushchenko, P. Y.; Zotina, T. A.

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7.


   
    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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8.


   
    Seasonal dynamics of number of alive and dead zooplankton in a small pond and some variants of mortality estimation [Текст] / O. P. Dubovskaya, M. I. Gladyshev, V. G. Gubanov // Zhurnal Obshchei Biol. - 1999. - Vol. 60, Is. 5. - С. 543-555. - Cited References: 22 . - ISSN 0044-4596
РУБ Biology

Аннотация: The authors investigate seasonal dynamics of number of alive and dead zooplankton individuals, their vertical distribution and the rates of sedimetation using special staining. Seasonal dynamics of natural mortality (ageing, parasites, diseases, toxic substances) was calculated. The mortality was maximal in the middle of a summer (the period of zooplankton depression) and minimal - at the beginning and at the end of summer. The method was compared with traditional method of mortality calculation that includes death from predators. It was shown that zooplankton depression in the middle df summer was caused not by press of predators but by other reasons.

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

Доп.точки доступа:
Dubovskaya, O.P.; Gladyshev, M.I.; Gubanov, V.G.

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9.


   
    Behaviour of the residue of glutamic acid on self-organization of protein molecules / P. I. Belobrov // Biophysics. - 1975. - Vol. 20, Is. 1. - P18-21 . - ISSN 0006-3509
Кл.слова (ненормированные):
glutamic acid -- protein -- computer analysis -- in vitro study -- theoretical study
Аннотация: The method of atom-atom potentials has been used to study the glutamyl dipeptide in ionized (glu-) and non-ionized (glu) states. A calculation has been made with a computer of the conformational maps and the statistical sums of glu and glu-. It was found that on transition of glu > glu- fall in the energy exceeds the free energy of initiation of the helix with an increased probability of the helical state of the molecule of glu-. From this it is concluded that glu- may in certain conditions be the embryo of the helix on self-organization of protein. В© 1975.

Scopus
Держатели документа:
Institute of Physics, the Siberian Division, U.S.S.R. Academy of Sciences, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Belobrov, P.I.

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10.


   
    Developing the control criterion for a continuous culture of microorganisms / V. V. Adamovich, D. Yu. Rogozin, A. G. Degermendzhi // Microbiology. - 2005. - Vol. 74, Is. 1. - P1-11, DOI 10.1007/s11021-005-0021-z . - ISSN 0026-2617
Кл.слова (ненормированные):
Chemostat -- Control criterion -- Control factor -- Microorganism population -- Sensitivity coefficients
Аннотация: A short survey and a critical analysis of previously proposed criteria for growth control of populations of microorganisms in the chemostat are presented. Based on the analysis of a mathematical model of the steady state of a microbial population in the chemostat, an adequate control criterion is suggested, along with a method to identify the corresponding control factors. The new control criterion is expressed as a product of the factor transformation coefficient and the sensitivity coefficient (SC) of the biomass with respect to the change in the factor at the chemostat inlet (hereinafter, the biomass SC). The control criterion determines the strength of the control exerted by a factor. The method of determining control factors consists in experimental determination of the real SCs for factors and the biomass and calculation on this basis of the corresponding ideal SCs, assuming constant factor transformation coefficients. The ideal SCs are shown to add up to integer values, a constraint that we call quantization relationships. Such relationships are used to test the completeness of the list of control factors. The proposed method was applied to both our own and literature data. В© 2005 Pleiades Publishing, Inc.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Division, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Adamovich, V.V.; Rogozin, D.Yu.; Degermendzhi, A.G.

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11.


   
    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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12.


   
    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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13.


   
    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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