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 Найдено в других БД:Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН (6)
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Общее количество найденных документов : 5
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1.


   
    Transfer of essential polyunsaturated fatty acids from an aquatic to terrestrial ecosystem through the fish-bird trophic pair / M. I. Gladyshev [et al.] // Doklady Biological Sciences. - 2010. - Vol. 431, Is. 1. - P121-123, DOI 10.1134/S0012496610020146 . - ISSN 0012-4966
Кл.слова (ненормированные):
fatty acid -- fresh water -- triacylglycerol -- unsaturated fatty acid -- animal -- article -- biological model -- biomass -- bird -- chemistry -- ecosystem -- fish -- food chain -- metabolism -- muscle -- pathology -- physiology -- species difference -- Animals -- Biomass -- Birds -- Ecosystem -- Fatty Acids -- Fatty Acids, Unsaturated -- Fishes -- Food Chain -- Fresh Water -- Models, Biological -- Muscles -- Species Specificity -- Triglycerides -- Aves

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk 660036, Russian Federation
Papanin Institute of Inland Water Biology, Russian Academy of Sciences, Borok, Yaroslavl' oblast, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Gladyshev, M.I.; Krylov, A.V.; Sushchik, N.N.; Malin, M.I.; Makhutova, O.N.; Chalova, I.V.; Kalacheva, G.S.

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2.


   
    Typification of natural seasonal dynamics of vegetation to reveal impact of land surface change on environment (by satellite data) / A. Shevyrnogov [et al.] // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P1169-1172, DOI 10.1016/S0273-1177(99)01142-4 . - ISSN 0273-1177
Кл.слова (ненормированные):
ecological modeling -- ecosystem health -- land surface -- satellite data -- vegetation dynamics
Аннотация: Deep insight into types of vegetation variability provided by AVHRR space scanner images of vegetation index spatial distribution helps reveal impact of land surface changes on environment. The Institute of Computational Modeling SB RAS has developed nonparametric algorithms of automatic to classify and recognize patterns of these images which helped to reveal: (1) major variability types (generally connected); (2) areas belonging to small classes, which can be used to reveal deviations from 'normal' (e.g., forest fires, etc.); (3) deviation from a certain type of dynamics indicative of changes in condition of plants, which can be used to diagnose pathology at early stages; (4) impact of economical activities on vegetation in Norilsk area. The authors provide biological interpretation of the satellite data. Computer-animated dynamics and color maps are presented. Nonparametric algorithms of an automatic classification and pattern recognition were provided by the Institute of Computational Modeling SB RAS. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

Scopus
Держатели документа:
Inst. of Biophys. of Russ. A., Siberian Branch, 660036, Krasnoyarsk, Russian Federation
Inst. of Compl. Modeling of Russ. A., Siberian Branch (SB RAS), 660036, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Sidko, A.; Dunaev, K.

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3.


   
    Modeling the growth and morphogenesis of malignant tumors / V. A. Slepkov, V. G. Sukhovol'skii, R. G. Khlebopros // Doklady Biochemistry and Biophysics. - 2006. - Vol. 411, Is. 1. - P342-345, DOI 10.1134/S1607672906060056 . - ISSN 1607-6729
Кл.слова (ненормированные):
animal -- article -- biological model -- cancer invasion -- cell proliferation -- computer simulation -- human -- morphogenesis -- neoplasm -- pathology -- pathophysiology -- Animals -- Cell Proliferation -- Computer Simulation -- Humans -- Models, Biological -- Morphogenesis -- Neoplasm Invasiveness -- Neoplasms

Scopus
Держатели документа:
Nikolaev Institute of Inorganic Chemistry, Siberian Division, Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation
International Research Center for Extreme Body States, Presidium of the Krasnoyarsk Research Center, Siberian Division, Akademogorogok, Krasnoyarsk, 660036, Russian Federation
Institute of Biophysics, Siberian Division, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Slepkov, V.A.; Sukhovol'skii, V.G.; Khlebopros, R.G.

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4.


   
    Bioluminescent analysis of intensity of pathological oxidative processes in cells of perfused rat liver after hyperthermia / N. N. Remmel [et al.] // Bulletin of Experimental Biology and Medicine. - 2003. - Vol. 135, Is. 1. - P. 43-45, DOI 10.1023/A:1023489727703 . - ISSN 0007-4888
Кл.слова (ненормированные):
Bioluminescent analysis -- Controlled perfusion of isolated liver -- Hyperthermia oxidative stress -- thiobarbituric acid reactive substance -- animal experiment -- animal model -- animal tissue -- article -- bioluminescence -- concentration (parameters) -- controlled study -- correlation analysis -- female -- hyperthermia -- in vivo study -- lipid peroxidation -- liver metabolism -- liver perfusion -- male -- nonhuman -- oxidative stress -- oxygen consumption -- pathology -- rat -- thermal exposure -- Animals -- Female -- Hepatocytes -- Hyperthermia, Induced -- Liver -- Luminescent Measurements -- Male -- Oxidative Stress -- Perfusion -- Rats -- Animalia
Аннотация: We studied the possibility of evaluation of the intensity of pathological oxidative processes in rat liver using an integral bioluminescent test with controlled perfusion of the isolated organ. The test revealed a significant correlation between the level of TBA-reactive products and bioluminescence intensity.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russian Federation
Krasnoyarsk State University, Krasnoyarsk, Russian Federation
Intl. Res. Ctr. of Extreme States, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Remmel, N.N.; Kratasyuk, V.A.; Maznyak, O.M.; Inzhevatkin, E.V.; Nefedov, V.P.

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5.


   
    Mercury, selenium and fish oils in marine food webs and implications for human health / M. O. Gribble [et al.] // J. Mar. Biol. Assoc. U.K. - 2016. - Vol. 96, Is. 1. - P43-59, DOI 10.1017/S0025315415001356 . - ISSN 0025-3154
Кл.слова (ненормированные):
Docosahexaenoic acid -- Ecotoxicology -- Eicosapentaenoic acid -- Fish oils -- Mercury -- N-3 fatty acids -- Oceans and human health -- OHH -- Public health -- Selenium
Аннотация: Humans who eat fish are exposed to mixtures of healthful nutrients and harmful contaminants that are influenced by environmental and ecological factors. Marine fisheries are composed of a multitude of species with varying life histories, and harvested in oceans, coastal waters and estuaries where environmental and ecological conditions determine fish exposure to both nutrients and contaminants. Many of these nutrients and contaminants are thought to influence similar health outcomes (i.e., neurological, cardiovascular, immunological systems). Therefore, our understanding of the risks and benefits of consuming seafood require balanced assessments of contaminants and nutrients found in fish and shellfish. In this paper, we review some of the reported benefits of fish consumption with a focus on the potential hazards of mercury exposure, and compare the environmental variability of fish oils, selenium and mercury in fish. A major scientific gap identified is that fish tissue concentrations are rarely measured for both contaminants and nutrients across a range of species and geographic regions. Interpreting the implications of seafood for human health will require a better understanding of these multiple exposures, particularly as environmental conditions in the oceans change. © Marine Biological Association of the United Kingdom, 2015.

Scopus,
WOS
Держатели документа:
Department of Preventive Medicine, University of Southern California, Keck School of Medicine, Los Angeles, CA, United States
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
Department of Environmental Health Sciences, University at Albany School of Public Health, State University of New York, Rensselaer, NY, United States
Department of Pathology, Microbiology and Immunology, University of South Carolina School of Medicine, Columbia, SC, United States
Department of Veterinary Medicine, College of Natural Science and Mathematics, University of Alaska Fairbanks, Fairbanks, AK, United States
Institute of Biophysics of Siberian Branch, Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Biological Sciences, Dartmouth College, Hanover, NH, United States

Доп.точки доступа:
Gribble, M. O.; Karimi, R.; Feingold, B. J.; Nyland, J. F.; O'Hara, T. M.; Gladyshev, M. I.; Chen, C. Y.

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