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1

Sunteev, Anton. Management of internal reserves to reduce the cost of engineering products. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141766.

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The monograph presents current trends in the management of internal reserves to reduce the cost of production of machine-building enterprises. The approaches of various scientists to the interpretation of the concept of "enterprise reserve" are analyzed. The classification of the types of reserves of the enterprise is given and supplemented by the classification of the resources that form the reserve. Methodological support for the management of internal reserves for reducing the cost of industrial products and methods for identifying them are presented. A technology for studying the cost of p
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2

Johansson, Ann-Katrin. On dental erosion and associated factors. Department of Cariology, Faculty of Odontology, Sahlgrenska Academy at Göteborg University, 2002.

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3

Limited, Coal India, ed. Information on Indian coal: Geology-reserves, classification, grading, characteristics, utilisation. Coal India Ltd., 1994.

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4

Bilyk, Lonnie P. Ecological land classification of Carson-Pegasus Provincial Park. Alberta Environment, 1999.

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5

Dennis, Donald F. Factors influencing recreational use of private woodland. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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6

Dennis, Donald F. Factors influencing recreational use of private woodland. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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7

Shappell, Scott A. The human factors analysis and classification system--HFACS: Final report. Office of Aviation Medicine, U.S. Dept. of Transportation, Federal Aviation Administration, 2000.

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8

P, Porcelli, and Sonino N, eds. Psychological factors affecting medical conditions: A new classification for DSM-V. Karger, 2007.

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9

Hansen, Paul L. The vegetation of the Grand River/Cedar River, Sioux, and Ashland Districts of the Custer National Forest: A habitat type classification. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1988.

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10

Hansen, Paul L. The vegetation of the Grand River/Cedar River, Sioux, and Ashland Districts of the Custer National Forest: A habitat type classification. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1988.

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11

Petr, Zima, ed. Areal and genetic factors in language classification and description: Africa south of the Sahara. Lincom Europa, 2000.

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12

Cornish, Beth J. Ecological land classification of Beauvais Lake Provincial Park study area. The Division, 2001.

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13

Ian, Sutherland. Ecological land classification of Big Hill Springs Provincial Park, Alberta. The Region, 1998.

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14

Wiegmann, Douglas A. A human error analysis of commercial aviation accidents using the human factors analysis and classification system (HFACS): Final report. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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15

Library of Congress. Subject Cataloging Division. Library of Congress expansion of "G" classification schedule: U.S. National Parks and forests cutter list including National historic parks and National wilderness areas. s.n.], 1989.

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16

Devine, Warren D. Climate change and forest trees in the Pacific Northwest: A vulnerability assessment and recommended actions for national forests. United States Department of Agriculture, Forest Service, Pacific Northwest Region, 2012.

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17

Region, United States Forest Service Pacific Northwest. Malheur National Forest: Land and resource management plan. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Region, 1990.

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18

I͡U︡, Denisov A., and Solomovich V. G, eds. Pereot͡s︡enka osnovnykh fondov: Rekomendat͡s︡ii i normativnoe regulirovanie : obshcherossiĭskiĭ klassifikator osnovnykh fondov. IKT͡S︡ "DIS", 1997.

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19

United Nations. Economic Commission for Europe. Task Force on Mapping. Mapping of the United Nations Framework Classification for Fossil Energy and Mineral Resources. United Nations, 2009.

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20

Cornish, Beth J. Ecological land classification of Police Outpost Provincial Park and Outpost Wetlands Natural Area. The Division, 2001.

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21

Nations, United, ed. United Nations Framework Classification for Fossil Energy and Mineral Reserves and Resources 2009: Incorporating specifications for its application. United Nations, 2013.

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22

L, Kovalchik Bernard. Classification and management of aquatic, riparian and wetland sites on the national forests of Eastern Washington : series descriptions. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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23

Mather, John Russell. The water budget and the distribution of climates, vegetation and soils. C. W. Thornthwaite Associates, Laboratory of Climatology, 1985.

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24

United States. National Park Service and Geological Survey (U.S.), eds. Hydrogeomorphic classification of wetlands on Mt. Desert Island, Maine, including hydrologic susceptibility factors for wetlands in Acadia National Park. U.S. Dept. of the Interior, U.S. Geological Survey, 2006.

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25

United States. Employment and Training Administration, ed. Interest profiler: Score report. 3rd ed. U.S. Dept. of Labor, Employment and Training Administration, 2000.

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26

Dudley, Nigel. Forests and protected areas: Guidance on the use of the IUCN protected area management categories. IUCN--the World Conservation Union, 2006.

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27

Anil, Mahabal, and Zoological Survey of India, eds. Fauna of Pench National Park, Maharashtra. Zoological Survey of India, 2004.

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28

A, Shappell Scott, and United States. Office of Aviation Medicine., eds. A human error analysis of commercial aviation accidents using the human factors analysis and classification system (HFACS). Office of Aviation Medicine, U.S. Dept. of Transportation, Federal Aviation Administration, 2001.

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29

Great Britain. Office of Population Censuses and Surveys., ed. A 1981 socio-economic classification of local and health authorities of Great Britain. H.M.S.O., 1985.

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30

Stubbendieck, James L. An identification of prairie in national park units in the Great Plains. U.S. Dept. of the Interior, National Park Service, 1986.

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31

United States. Forest Service. Pacific Northwest Region. Malheur National Forest: Land and resource management plan. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Region, 1990.

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32

United States. Forest Service. Pacific Northwest Region. Malheur National Forest: Land and resource management plan. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Region, 1990.

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33

Marquis, M. Susan. Economic factors in reserve attrition: Prior service individuals in the Army National Guard and Army Reserve. RAND Corp., 1989.

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34

John, Aluma, ed. Settlement in forest reserves, game reserves, and national parks in Uganda: A study of social, economic, and tenure factors affecting land use and deforestation in Mabira Forest Reserve, Kibale Forest Reserve, and Kibale Game Reserve/Corridor. University of Wisconsin-Madison, Land Tenure Center, 1989.

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35

W, Aluma John R., and University of Wisconsin--Madison. Land Tenure Center., eds. Settlement in forest reserves, game reserves and national parks in Uganda: A study of social, economic, and tenure factors affecting land use and deforestation in Mabira Forest Reserve, Kibale Forest Reserve and Kibale Game Reserve Corridor. University of Wisconsin-Madison, Land Tenure Center, 1989.

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36

Trusel, Luke D., Guy R. Cochrane, Lisa Lowe Etherington, and Larry A. Mayer. Marine benthic habitat mapping of Muir Inlet, Glacier Bay National Park and Preserve, Alaska with an evaluation of the coastal and marine ecological classification standard III. U.S. Geological Survey, 2010.

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37

Richardson, D. E. Automated spatial and thematic generalization using a context transformation model: Integrating steering parameters, classification and aggregation hierarchies, reduction factors, and topological structures for multiple abstractions. R&B Publications, 1993.

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38

Workshop on Disability in America, a New Look (2005 Washington, D.C.). Workshop on Disability in America, a New Look: Summary and papers : based on a workshop of the Committee on Disability in America: a New Look, Board on Health Sciences Policy. Edited by Field Marilyn J, Jette Alan M, Martin Linda G. 1947-, and Institute of Medicine (U.S.). Committee on Disability in America: a New Look. National Academies Press, 2006.

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39

Lonny, Lundsten, and United States. National Ocean Service. Office of National Marine Sanctuaries, eds. Davidson Seamount taxonomic guide. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Ocean and Coastal Resource Management, Office of National Marine Sanctuaries, 2008.

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40

Office, General Accounting. Forest Service: Factors affecting timber sales in five national forests : report to the Chairman, Subcommittee on Public Lands, National Parks, and Forests, Committee on Energy and Natural Resources, U.S. Senate. U.S. General Accounting Office, 1994.

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41

Roth, Martin, and Russell Noyes. Classification, Etiological Factors and Associated Disturbances. Elsevier Science Publishing Company, 1989.

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42

Pneumothorax: Classification, Treatment and Prognostic Factors. Nova Science Pub Inc, 2013.

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43

Aguilar, Elmira. Retinopathy of Prematurity: Classification, Risk Factors and Treatment. Nova Science Publishers, Incorporated, 2015.

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44

Estimation and classification of reserves of crude oil, natural gas and condensate. Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, 2001.

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45

Hoste, Eric A. J., John A. Kellum, and Norbert Lameire. Definitions, classification, epidemiology, and risk factors of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0220_update_001.

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The lack of a precise biochemical definition of acute kidney injury (AKI) resulted in at least 35 definitions in the medical literature, which gave rise to a wide variation in reported incidence and clinical significance of AKI, impeded a meaningful comparison of studies.The first part of this chapter describes and discusses different definitions and classification systems of AKI. Patient outcome and the need for renal replacement therapy are directly related to the severity of AKI, an observation that supports the use of a categorical staging system rather than a simple binary descriptor. The
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46

Thomas John I'anson 1875-1 Bromwich. Quadratic Forms and Their Classification by Means of Invariant-Factors. Creative Media Partners, LLC, 2022.

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47

Bromwich, T. J. I'a, J. G. Leathem, and E. T. Whittaker. Quadratic Forms: And Their Classification by Means of Invariant-Factors. Independently Published, 2019.

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48

Sesselmann, Jörg. Empowering Brands with Customer Integration: Classification, Benefits and Success Factors. Springer Gabler. in Springer Fachmedien Wiesbaden GmbH, 2015.

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49

Garcia, Christopher M. Lopez. Handbook on Metabolic Syndrome: Classification, Risk Factors and Health Impact. Nova Science Publishers, Inc., 2012.

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50

Sesselmann, Jörg. Empowering Brands with Customer Integration: Classification, Benefits and Success Factors. Springer Gabler, 2015.

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