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Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН (2)

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Bios-3: Siberian experiments in bioregenerative life support / F. B. Salisbury, J. I. Gitelson, G. M. Lisovsky // BioScience. - 1997. - Vol. 47, Is. 9. - P575-585 . - ISSN 0006-3568
Кл.слова (ненормированные):
agriculture -- Chlorella -- construction work and architectural phenomena -- crop -- energy metabolism -- evaluation -- growth, development and aging -- human -- metabolism -- methodology -- microbiology -- microclimate -- NASA Discipline Life Support Systems -- Non-NASA Center -- photon -- review -- Russian Federation -- space flight -- NASA Discipline Life Support Systems -- Non-NASA Center -- Agriculture -- Chlorella -- Crops, Agricultural -- Ecological Systems, Closed -- Energy Metabolism -- Environment, Controlled -- Environmental Microbiology -- Evaluation Studies -- Facility Design and Construction -- Humans -- Life Support Systems -- Photons -- Siberia -- Space Flight -- Space Simulation

Scopus
Держатели документа:
Dept. Plants, Soils, Biometeorology, College of Agriculture, Utah State University, Logan, UT 84322-4820, United States
Institute of Biophysics, Academy of Sciences of Russia, Siberian Branch, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Salisbury, F.B.; Gitelson, J.I.; Lisovsky, G.M.

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Hidden staircase signal in recent climate dynamic / P. Belolipetsky [et al.] // Asia Pac. J. Atmos. Sci. - 2015. - Vol. 51, Is. 4. - P323-330, DOI 10.1007/s13143-015-0081-6 . - ISSN 1976-7633
Кл.слова (ненормированные):
Climate shifts -- ENSO variability -- pause in global warming
Аннотация: In this study we used HadCRUT4 monthly mean near surface temperature anomalies for 1950–2014 years in order to investigate properties of recent warming. Our aim was to separate changes produced by short-term natural variations and to look on temporal and spatial dynamics of residual temperature anomalies. For this we subtract linear influence of El Nino Southern Oscillation from each grid box of surface temperature measurements. We found that residual global temperature dynamics looks like staircase function: linear trends for three quasi-stable periods 1950–1987, 1988–1997 and 1998–2014 are near zero and near all warming occurred during two shifts of 1987/1988 and 1997/1998 years. Examples of similar staircase behavior of some climate parameters were found in NCEP/NCAR and NASA MERRA reanalysis data. Staircase signal suggests the existence of some regulation mechanism in climate system. This mechanism should maintain global temperature adjusted for El Nino Southern Oscillation near stable in 1950–1987, 1988–1997 and 1998–2014 periods nevertheless all the time growing forcing due to anthropogenic greenhouse gases. © 2015, Korean Meteorological Society and Springer Science+Business Media Dordrecht.

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Держатели документа:
Institute of Computational Modelling, SB RAS, Akademgorodok 50/44, Krasnoyarsk, Russian Federation
Institute of Biophysics, SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Belolipetsky, P.; Bartsev, S.; Ivanova, Y.; Saltykov, M.
Свободных экз. нет
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Computing-feasibility study of NASA nutrition requirements as applied to a bioregenerative life support system / V. S. Kovalev, N. S. Manukovsky, A. A. Tikhomirov // Acta Astronaut. - 2019. - Vol. 159. - P371-376, DOI 10.1016/j.actaastro.2019.04.001 . - ISSN 0094-5765
Кл.слова (ненормированные):
Constraint -- Food -- Modeling -- Nutrient -- Objective function -- Amino acids -- Animals -- Food products -- Models -- NASA -- Nutrients -- Nutrition -- Proteins -- Saturated fatty acids -- Uncertainty analysis -- Vitamins -- Bioregenerative life support systems -- Constraint -- Essential amino acids -- Independent variables -- Interpretation of models -- Long duration missions -- Lower and upper bounds -- Objective functions -- Life support systems (spacecraft)
Аннотация: In view of previous studies, a list of 46 foods designated for use in bioregenerative life support system was composed. With the help of a computer program, daily sets of foods of plant and animal origin were compiled from the list of foods. The objective function of modeling was intended to minimize the discrepancy between the calculated values of nutrients in daily food sets and NASA nutrition requirements for long-duration missions. The independent variables in the model were the masses of foods restricted by the lower and upper bounds. It was established that a food set is able to comprise 10-46 foods with violation of the NASA nutrition requirements for iron, vitamin B5 and vitamin D daily intakes. Inclusion of 9 foods in a set resulted in a further violation of the NASA standards concerning saturated fat. As the number of foods in a set has increased from 10 to 22, the objective function decreased from 1.0736 to 1.0332, followed by a gradual increase to 1.1233, when the maximum number of foods was selected from the list of foods. The source of uncertainty in the interpretation of modeling results are the standard NASA intakes of magnesium, potassium, zinc, manganese, vitamin C, thiamin, riboflavin, niacin, vitamin B6, folate, vitamin B12, vitamin E, vitamin K and n-6 fatty acids, given as exact values. Varying the nutrient content of food sets did not significantly affect the value of the objective function. However, some solutions were infeasible, due to the violation of the NASA standard concerning saturated fat. Also, there were food sets in which the scores of sulfur-containing amino acids and threonine were below 100. In order to reliably maintain the scores of essential amino acids above 100 in a food set, it is necessary to maintain a mass ratio of “animal protein/total protein” equal to 2/3 in accordance with the requirement of NASA. © 2019 IAA

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WOS
Держатели документа:
Institute of Biophysics of Siberian Branch of Russian Academy of Sciences, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Kovalev, V. S.; Manukovsky, N. S.; Tikhomirov, A. A.

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Bioregenerative life support space diet and nutrition requirements: still seeking accord / V. S. Kovalev, N. S. Manukovsky, A. A. Tikhomirov // Life Sci. Space Res. - 2020. - Vol. 27. - P99-104, DOI 10.1016/j.lssr.2020.07.004. - Cited References:24. - The work was carried out within the framework of the State Program on the topic No. 56.1.4, section VI of the Program of Fundamental Scientific Research of the Russian Academy of Sciences for 2013-2020. . - ISSN 2214-5524. - ISSN 2214-5532

РУБ Astronomy & Astrophysics + Biology + Multidisciplinary Sciences
Рубрики:
SYSTEMS
FOOD
Кл.слова (ненормированные):
Modeling -- Diet -- Dish -- Ingredient -- Nutrient -- Imbalance
Аннотация: The capability of "dish" and "ingredient in dish" modeling to reduce the number of nutrition imbalances in bioregenerative life support diet was compared. Masses of dishes were assumed to be the independent variables in the 'dish' model, while in the 'ingredient in dish' model the independent variables were the total masses of the ingredients in a one-day menu and masses of ingredients in the dishes. The objective function in both models was minimization of discrepancy between the calculated nutrition intakes and the daily nutrition requirements of NASA for long duration space missions. Comparing of two models was carried out for the case of a one-day diet containing 12 dishes and 32 ingredients. It was established that the diet simulation by 'dish' model brings 6 nutrition imbalances. The use of the 'ingredient in dish' modeling has helped to reduce the number of nutrition imbalances to 3, namely, an excess of iron, vitamin A and saturated fat. Obstacles to the fulfillment of all nutrition requirements were the nomenclature and masses of ingredients in the dish recipes.

WOS
Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Biophys, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kovalev, V. S.; Manukovsky, N. S.; Tikhomirov, A. A.; Program of Fundamental Scientific Research of the Russian Academy of Sciences [56.1.4]

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Deeper waters are changing less consistently than surface waters in a global analysis of 102 lakes / R. M. Pilla, C. E. Williamson, B. V. Adamovich [et al.] // Sci Rep. - 2020. - Vol. 10, Is. 1. - Ст. 20514, DOI 10.1038/s41598-020-76873-x. - Cited References:87. - This work was conceived at the Global Lake Ecological Observatory Network (GLEON), and benefited from continued participation and travel support from GLEON. This manuscript is dedicated to the late Alon Rimmer and Karl Havens, who provided data and contributed to earlier versions of this manuscript. Funding in support of this work came from the following sources: Belarus Republican Foundation for Fundamental Research; IGB Long-Term Research; the European Commission within the MANTEL project; the DFG within the LimnoScenES project (AD 91/22-1); OLA-IS, AnaEE-France, INRAE of Thonon-les-Bains, CIPEL, SILA, CISALB; Universidad del Valle de Guatemala; Archbold Biological Station; the Oklahoma Department of Wildlife Conservation, the Oklahoma Water Resources Board, the Grand River Dam Authority, the US Army Corps of Engineers, and the City of Tulsa; the Ministry of Business, Innovation, and Employment (UOW X1503); the Natural Environment Research Council of the UK; the IGB's International Postdoctoral Fellowship; NSERC, Canada Foundation for Innovation, Canada Research Chairs, Province of Saskatchewan; University of Regina; Queen's University Belfast; Natural Environment Research Council; US-NSF, California Air Resources Board, NASA, and US National Park Service; the Ministry of Higher Education and Research (projects No FZZE-2020-0026; No FZZE-2020-0023) and RSCF 20-64-46003; US National Science Foundation Long Term Research in Environmental Biology program (DEB-1242626); the Environmental Agency of Verona; US National Science Foundation, the Gordon and Betty Moore Foundation, the Mellon Foundation, and the University of Washington; KMFRI, LVEMP, University of Innsbruck, OeAD, IFS, and LVFO-EU; Waikato Regional Council and Bay of Plenty Regional Council; Swedish Environmental Protection Agency and the Swedish Infrastructure for Ecosystem Sciences; US National Science Foundation grants DEB-1754276 and DEB-1950170. We thank J. Klug, P. McIntyre, H. Swain, K. Tominaga, A. Voutilainen, and L. Winslow for their feedback on early drafts that substantially improved this manuscript. Additional detailed acknowledgements can be found in the Supplementary Information online. . - ISSN 2045-2322

РУБ Multidisciplinary Sciences
Рубрики:
DISSOLVED ORGANIC-CARBON
   LONG-TERM CHANGES
   CLIMATE-CHANGE
   OXYGEN
Аннотация: Globally, lake surface water temperatures have warmed rapidly relative to air temperatures, but changes in deepwater temperatures and vertical thermal structure are still largely unknown. We have compiled the most comprehensive data set to date of long-term (1970-2009) summertime vertical temperature profiles in lakes across the world to examine trends and drivers of whole-lake vertical thermal structure. We found significant increases in surface water temperatures across lakes at an average rate of+0.37 degrees C decade(-1), comparable to changes reported previously for other lakes, and similarly consistent trends of increasing water column stability (+0.08 kg m(-3) decade(-1)). In contrast, however, deepwater temperature trends showed little change on average (+0.06 degrees C decade(-1)), but had high variability across lakes, with trends in individual lakes ranging from -0.68 degrees C decade(-1) to+0.65 degrees C decade(-1). The variability in deepwater temperature trends was not explained by trends in either surface water temperatures or thermal stability within lakes, and only 8.4% was explained by lake thermal region or local lake characteristics in a random forest analysis. These findings suggest that external drivers beyond our tested lake characteristics are important in explaining long-term trends in thermal structure, such as local to regional climate patterns or additional external anthropogenic influences.

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Держатели документа:
Miami Univ, Dept Biol, Oxford, OH 45056 USA.
Belarusian State Univ, Fac Biol, Minsk, BELARUS.
Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecosyst Res, Berlin, Germany.
Free Univ Berlin, Berlin, Germany.
INRAE, CARRTEL, Thonon Les Bains, France.
Univ Nevada, Global Water Ctr, Reno, NV 89557 USA.
Uppsala Univ, Dept Ecol & Genet Limnol, Uppsala, Sweden.
Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
Univ Valle Guatemala, Inst Investigacones, Guatemala City, Guatemala.
Univ Innsbruck, Res Dept Limnol Mondsee, Mondsee, Austria.
Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA.
Natl Pk Serv, Crater Lake Natl Pk, Crater Lake, OR USA.
Univ Oklahoma, Dept Biol, Plankton Ecol & Limnol Lab, Norman, OK 73019 USA.
Univ Oklahoma, Geog Ecol Grp, Norman, OK 73019 USA.
Griffith Univ, Australian Rivers Inst, Nathan, Qld, Australia.
Univ Florida, Florida Sea Grant & UF IFAS, Gainesville, FL USA.
Univ Oslo, Dept Biosci, Oslo, Norway.
IISD Expt Lake Area Inc, Winnipeg, MB, Canada.
Finnish Environm Inst SYKE, Freshwater Ctr, Helsinki, Finland.
Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Finland.
Eawag Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, Dubendorf, Switzerland.
CSIRO, Land & Water, Canberra, ACT, Australia.
Univ Stirling, Biol & Environm Sci, Stirling, Scotland.
Laurentian Univ, Cooperat Freshwater Ecol Unit, Ramsey Lake Rd, Sudbury, ON, Canada.
Univ Minnesota, Itasca Biol Stn & Labs, Lake Itasca, MN USA.
Univ Regina, Inst Environm Change & Soc, Regina, SK, Canada.
Queens Univ Belfast, Inst Global Food Secur, Belfast, Antrim, North Ireland.
Univ Appl Sci & Arts Southern Switzerland, Dept Environm Construct & Design, Canobbio, Switzerland.
Fed Agcy Water Management, Mondsee, Austria.
UK Ctr Ecol & Hydrol, Lake Ecosyst Grp, Lancaster, England.
Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
Ryerson Univ, Dept Chem & Biol, Toronto, ON, Canada.
Univ Hamburg, Dept Biol, Hamburg, Germany.
Irkutsk State Univ, Inst Biol, Irkutsk, Russia.
Univ Liege, Liege, Belgium.
SUNY Coll New Paltz, Dept Biol, New Paltz, NY 12561 USA.
Israel Oceanog & Limnol Res, Kinneret Limnol Lab, Migdal, Israel.
CNR Water Res Inst, Verbania, Italy.
Ontario Minist Environm Conservat & Parks, Dorset Environm Sci Ctr, Dorset, ON, Canada.
Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA.
Fdn Edmund Mach FEM, Dept Sustainable Agroecosyst & Bioreso, Res & Innovat Ctr, San Michele All Adige, Italy.
Univ Maine, Climate Change Inst, Orono, ME USA.
Univ Laval, Ctr Etud Nord, Quebec City, PQ, Canada.
Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
Eawag Swiss Fed Inst Aquat Sci & Technol, Surface Waters Res & Management, Kastanienbaum, Switzerland.
Tech Univ Kenya, Dept Geosci & Environm, Nairobi, Kenya.
Univ Innsbruck, Dept Ecol, Innsbruck, Austria.
Univ Konstanz, Limnol Inst, Constance, Germany.
Dickinson Coll, Dept Environm Sci, Carlisle, PA 17013 USA.
Vrije Univ Brussel, Dept Hydrol & Hydraul Engn, Brussels, Belgium.
Eidgenoss Tech Hsch Zurich, Inst Atmospher & Climate Sci, Zurich, Switzerland.
Natl Inst Water & Atmospher Res, Hamilton, New Zealand.
Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada.
Russian Acad Sci, Krasnoyarsk Sci Ctr, Inst Biophys, Siberian Branch, Krasnoyarsk, Russia.

Доп.точки доступа:
Pilla, Rachel M.; Williamson, Craig E.; Adamovich, Boris V.; Adrian, Rita; Anneville, Orlane; Chandra, Sudeep; Colom-Montero, William; Devlin, Shawn P.; Dix, Margaret A.; Dokulil, Martin T.; Gaiser, Evelyn E.; Girdner, Scott F.; Hambright, K. David; Hamilton, David P.; Havens, Karl; Hessen, Dag O.; Higgins, Scott N.; Huttula, Timo H.; Huuskonen, Hannu; Isles, Peter D. F.; Joehnk, Klaus D.; Jones, Ian D.; Keller, Wendel Bill; Knoll, Lesley B.; Korhonen, Johanna; Kraemer, Benjamin M.; Leavitt, Peter R.; Lepori, Fabio; Luger, Martin S.; Maberly, Stephen C.; Melack, John M.; Melles, Stephanie J.; Muller-Navarra, D. C.; Pierson, Don C.; Pislegina, Helen V.; Plisnier, Pierre-Denis; Richardson, David C.; Rimmer, Alon; Rogora, Michela; Rusak, James A.; Sadro, Steven; Salmaso, Nico; Saros, Jasmine E.; Saulnier-Talbot, Emilie; Schindler, Daniel E.; Schmid, Martin; Shimaraeva, Svetlana V.; Silow, Eugene A.; Sitoki, Lewis M.; Sommaruga, Ruben; Straile, Dietmar; Strock, Kristin E.; Thiery, Wim; Timofeyev, Maxim A.; Verburg, Piet; Vinebrooke, Rolf D.; Weyhenmeyer, Gesa A.; Zadereev, Egor; Belarus Republican Foundation for Fundamental Research; IGB Long-Term Research; European CommissionEuropean CommissionEuropean Commission Joint Research Centre; DFGGerman Research Foundation (DFG) [AD 91/22-1]; OLA-IS; AnaEE-France; INRAE of Thonon-les-Bains; CIPEL; SILA; CISALB; Universidad del Valle de Guatemala; Archbold Biological Station; Oklahoma Department of Wildlife Conservation; Oklahoma Water Resources Board; Grand River Dam Authority; US Army Corps of EngineersUnited States Department of Defense; City of Tulsa; Ministry of Business, Innovation, and EmploymentNew Zealand Ministry of Business, Innovation and Employment (MBIE) [UOW X1503]; Natural Environment Research Council of the UKNERC Natural Environment Research Council; IGB's International Postdoctoral Fellowship; NSERCNatural Sciences and Engineering Research Council of Canada; Canada Foundation for InnovationCanada Foundation for InnovationCGIAR; Canada Research ChairsCanada Research ChairsCGIAR; Province of Saskatchewan; University of Regina; Queen's University Belfast; Natural Environment Research CouncilNERC Natural Environment Research Council; US-NSFNational Science Foundation (NSF); California Air Resources Board; NASANational Aeronautics & Space Administration (NASA); US National Park Service; Ministry of Higher Education and ResearchMinistry of Higher Education & Scientific Research (MHESR) [FZZE-2020-0026, FZZE-2020-0023]; RSCFRussian Science Foundation (RSF) [20-64-46003]; US National Science Foundation Long Term Research in Environmental Biology program [DEB-1242626]; Environmental Agency of Verona; US National Science FoundationNational Science Foundation (NSF); Gordon and Betty Moore FoundationGordon and Betty Moore Foundation; Mellon Foundation; University of WashingtonUniversity of Washington; KMFRI; LVEMP; University of Innsbruck; OeAD; IFSInternational Foundation for Science; LVFO-EU; Waikato Regional Council; Bay of Plenty Regional Council; Swedish Environmental Protection Agency; Swedish Infrastructure for Ecosystem Sciences; US National Science FoundationNational Science Foundation (NSF) [DEB-1754276, DEB-1950170]

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