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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Biomechanics. ; Biotechnology. ; Biomedical engineering. ; Regenerative medicine. ; Biomechanics. ; Biotechnology. ; Biomedical Engineering and Bioengineering. ; Regenerative Medicine and Tissue Engineering.
    Description / Table of Contents: 1 Modeling in Biomechanics 1 -- 1.1 The different perspectives 2 -- 1.1.1 The engineering approach 2 -- 1.1.2 The clinical approach 2 -- 1.1.3 The pre- clinical approaches 2 -- 1.2 Opportunities and challenges 2 -- 1.3 Statistical analysis 3 -- 1.3.1 Probability distributions 4 -- 1.3.2 Hypothesis testing 7 -- 1.3.3 Correlation amongst variables 9 -- 1.3.4 Regression modeling 10 -- 1.3.5 Mean difference test 13 -- 1.3.6 Study design 14 -- 1.4 Model definition 16 -- 1.5 Model development and testing 17 -- 1.5.1 Sensitivity analysis 17 -- 1.5.3 Validation 21 -- 1.6 Case study: Biomechanical Rupture Risk Assessment (BRRA) 21 -- 1.6.1 Short comings of the current AAA risk assessment 21 -- 1.6.2 Intended Model Application (IMA) 21 -- 1.6.3 Failure hypothesis 22 -- 1.6.4 Work flow and diagnostic information 22 -- 1.6.5 Key modeling assumptions 23 -- 1.6.6 Clinical validation 24 -- 1.7 Summary and conclusion 25 -- Appendix: Biomechanics Modeling 27 -- A.1 Definitions and terminology in statistics 27 -- 2 The circulatory system 29 -- 2.1 Physiology 29 -- 2.1.1 Vascular system 29 -- 2.1.2 Key concepts 31 -- 2.1.3 Cells in the vascular system 32 -- 2.1.4 Macrocirculation 33 -- 2.1.5 Lymphatic system 37 -- 2.1.6 Microcirculation 38 -- 2.1.7 Hemodynamic regulation 41 -- 2.2 Mechanical system properties 42 -- 2.2.1 Vascular pressure 43 -- 2.2.2 Vascular flow 44 -- 2.2.3 Vascular resistance 45 -- 2.2.4 Transcapillary transport 45 -- 2.3 Modeling the macrocirculation 45 -- 2.3.1 Windkessel (WK) models 46 -- 2.3.2 Vessel network modeling 57 -- 2.4 Modeling the Microcirculation 63 -- 2.4.1 Transcapillary concentration difference 63 -- 2.4.2 Filtration 65 -- 2.5 Summary and conclusion 70 -- Appendix: Mathematical preliminaries 72 -- A.1 Complex numbers 72 -- A.2 Fourier series approximation 72 -- Appendix: Basic circuit elements 73 -- B.1 Resistor element 73 -- B.2 Capacitor element 73 -- B.3 Inductor element 74 -- Appendix: Transport mechanisms 74 -- C.1 Diffusion 74 -- C.2 Advection 75 -- Appendix: Osmosis 75 -- D.1 Osmotic pressure 75 -- D.2 Transport across semipermeable membranes 76 -- 3 Continuum Mechanics 77 -- 3.1 Kinematics 78 -- 3.1.1 Deformation gradient 78 -- 3.1.2 Multiplicative decomposition 79 -- 3.1.3 Polar decomposition 79 -- 3.1.4 Deformation of the line element 79 -- 3.1.5 Deformation of the volume element 80 -- 3.1.6 Deformation of the area element 80 -- 3.1.7 Concept of strain 81 -- 3.2 Concept of stress 85 -- 3.2.1 Cauchy stress theorem 86 -- 3.2.2 Principal stresses 87 -- 3.2.3 Isochoric and volumetric stress 89 -- 3.2.4 Octahedral stress and von Mises stress 89 -- 3.2.5 Cauchy stress in rotated coordinates 91 -- 3.2.6 First Piola-Kirchhoff stress 91 -- 3.2.7 Second Piola-Kirchhoff stress 92 -- 3.2.8 Implication of material incompressibility on the stress state 93 -- 3.3 Material time derivatives 94 -- 3.3.1 Kinematic variables 94 -- 3.3.2 Stress rates 95 -- 3.3.3 Power-conjugate stress and strain rates 96 -- 3.4 Constitutive modeling 97 -- 3.4.1 Some mechanical properties of materials 97 -- 3.4.2 Linear elastic material 100 -- 3.4.3 Hyperelasticity 102 -- 3.4.4 Viscoelasticity 105 -- 3.5 Governing laws 113 -- 3.5.1 Mass balance 114 -- 3.5.2 Balance of linear momentum 116 -- 3.5.3 Maxwell transport and localization 118 -- 3.5.4 Thermodynamic principles 119 -- 3.6 General principles 125 -- 3.6.1 Free body diagram 125 -- 3.6.2 Initial Boundary Value Problem 126 -- 3.6.3 Principle of Virtual -- 3.7 Damage and failure 129 -- 3.7.1 Physical consequences 129 -- 3.7.2 Strain localization 130 -- 3.7.3 Linear Fracture Mechanics 132 -- 3.7.4 J -- Integral 133 -- 3.7.5 Cohesive zone modeling 133 -- 3.8 Multiphasic continuum theories 134 -- 3.8.1 Mixture theory 134 -- 3.8.2 Poroelasticity theory 134 -- 3.9 Summary and conclusion 135 -- Appendix: Mathematical preliminaries 136 -- A.1 Laplace and Fourier transforms 136 -- A.2 Matrix algebra 136 -- A.2.1 Trace of a matrix 137 -- A.2.2 Identity matrix 137 -- A.2.3 Determinant of a matrix 137 -- A.2.4 Inverse and orthogonal matrix 138 -- A.2.5 Linear vector transform 138 -- A.2.6 Eigenvalue problem 138 -- A.2.7 Relation between the trace and the eigenvalues 139 -- A.2.8 Cayley-Hamilton theorem 139 -- A.3 Vector algebra 140 -- A.3.1 Basic vector operations 140 -- A.3.2 Coordinate transformation 142 -- A.4 Tensor algebra 144 -- A.4.1 Spherical tensor 144 -- A.4.2 Tensor operations 145 -- A.4.3 Invariants of second-order tensors 145 -- A.5 Vector and tensor calculus 146 -- A.5.1 Local changes of field variables 146 -- A.5.2 Divergence theorem 147 -- Appendix: Some useful Laplace and Fourier transforms 148 -- B.1 Laplace transforms 148 -- B.2 Fourier transforms 150 -- Appendix: Some useful tensor relations 151 -- 4 Conduit vessels 153 -- 4.1 Histology and morphology of the vessel wall 154 -- 4.1.1 Layered vessel wall organization 154 -- 4.1.2 Differences between arteries and veins 155 -- 4.1.3 Extra Cellular Matrix (ECM) 156 -- 4.1.4 Cells 157 -- 4.2 Mechanical properties and experimental observations 158 -- 4.2.1 Aorta 160 -- 4.2.2 Carotid artery 161 -- 4.2.3 Coronary artery 162 -- 4.2.4 Iliac artery 163 -- 4.3 Vascular diseases 163 -- 4.3.1 Diagnostic examinations 164 -- 4.3.2 Atherosclerosis 165 -- 4.3.3 Biomechanical factors in atherosclerosis 167 -- 4.3.4 Carotid artery disease 169 -- 4.3.5 Coronary heart disease 171 -- 4.3.6 Aneurysm disease 172 -- 4.4 Vascular adaptation 174 -- 4.5 Constitutive descriptions 175 -- 4.5.1 Capacity of a vessel segment 176 -- 4.5.2 Hyperelasticity for incompressible solids 177 -- 4.5.3 Purely phenomenological descriptions 178 -- 4.5.4 Histo-mechanical descriptions 183 -- 4.5.5 General theory of fibrous connective tissue 185 -- 4.5.6 Residual stress and load -- free configuration 188 -- 4.5.7 Visco-elastic descriptions 189 -- 4.5.8 Damage and failure descriptions 191 -- 4.5.9 Non-passive vessel wall properties 194 -- 4.6 Identification of constitutive parameters 194 -- 4.6.1 Analytical vessel wall models 197 -- 4.6.2 Optimization problem 199 -- 4.7 Case study: Wall stress analysis of the normal and aneurysmatic -- infrarenal aorta 205 -- 4.7.1 the analysis type 205 -- 4.7.2 Setting the boundary conditions- Dirichlet boundary 205 -- 4.7.3 Setting the loading conditions - Neuman boundary 205 -- 4.7.4 Setting the vascular wall properties 206 -- 4.7.5 Setting the output options 206 -- 4.8 Summary and Conclusion 206 -- Appendix: Protocol experimental vessel wall testing 208 -- A.1 Tissue harvesting and sample preparation 208 -- A.2 Test protocol definition and data recording 208 -- A.3 Acquired -- x CONTENTS -- 5 Blood flow 211 -- 5.1 Blood composition 211 -- 5.1.1 Erythrocyte (or red blood cell) 212 -- 5.1.2 Leukocyte (or white blood cell) 212 -- 5.1.3 Thrombocyte (or platelet) 213 -- 5.1.4 Plasma 213 -- 5.2 Forces acting at blood particles 214 -- 5.2.1 Drag force 214 -- 5.2.2 Gravitational and inertia forces 214 -- 5.2.3 Forces related to fluid pressure 214 -- 5.2.4 Forces related to fluid velocity and shear stress 215 -- 5.2.5 Forces arising from collisions 216 -- 5.2.6 Chemical and electrical forces 216 -- 5.2.7 Segregation of blood particles 218 -- 5.3 Blood rheology modeling 218 -- 5.3.1 Alteration of blood microstructure with the shear rate 218 -- 5.3.2 Modeling generalized Newtonian fluids 219 -- 5.3.3 Single-phase viscosity models for blood 220 -- 5.3.4 Composition-based viscosity models for blood 221 -- 5.4 Blood damage 224 -- 5.5 Description of incompressible flows 224 -- 5.5.1 Energy conservation 224 -- 5.5.2 Linear momentum conservation 226 -- 5.6 Blood flow phenomena 232 -- 5.6.1 Laminar and turbulent flow 232 -- 5.6.2 Boundary layer flow 233 -- 5.6.3 Blood flow through circular tubes 233 -- 5.6.4 Multi-dimensional flow phenomena 234 -- 5.7 Case study: Wall Shear Stress (WSS) analysis of the normal and -- aneurysmatic infrarenal aorta 236 -- 5.7.1 Setting the analysis type 236 -- 5.7.2 Setting the boundary conditions -Dirichlet boundary 236 -- 5.7.3 Setting the loading conditions -Neuman boundary 237 -- 5.7.4 Setting the blood rheological properties 237 -- 5.7.5 Setting the output options 237 -- 5.8 Summary and conclusion 238 -- Appendix: Mathematical preliminaries 239 -- 6 The vascular wall, an active entity 241 -- 6.1 Vasoreactivity 242 -- 6.1.1 Structure of contractile SMC 242 -- 6.1.2 SMC contraction regulation 243 -- 6.2 Arteriogenesis 243 -- 6.3 Angiogenesis 244 -- 6.4 Damage, healing and failure 244 -- 6.5 Modeling frameworks 244 -- 6.5.1 Open system governing laws 245 -- 6.5.2 Kinematics-based growth description 246 -- 6.5.3 Tensorial distribution of volume growth 248 -- 6.5.4 Homeostatic growth 249 -- 6.5.5 Continues turnover-based growth description 252 -- 6.5.6 Other formulations 256 -- 6.5.7 Applications of growth descriptions 257 -- 6.6 Conclusion and Discussion 258 -- 6.7 Applications 259 -- 6.7.1 Tensile testing the passive and active vessel wall 259 -- 6.7.2 Biaxially loaded vessel wall patch 260 -- 6.7.3 Ring testing of vessel segments 262 -- References 265 -- Problem Solutions 287 -- Index 373.
    Abstract: This textbook serves as a modern introduction to vascular biomechanics and provides the comprehensive overview of the entire vascular system that is needed to run successful vascular biomechanics simulations. It aims to provide the reader with a holistic analysis of the vascular system towards its biomechanical description and includes numerous fully through-calculated examples. Various topics covered include vascular system descriptions, vascular exchange, blood vessel mechanics, vessel tissue characterization, blood flow mechanics, and vascular tissue growth and remodeling. This textbook is ideally suited for students and researchers studying and working in classical and computational vascular biomechanics. The book could also be of interest to developers of vascular devices and experts working with the regulatory approval of biomedical simulations. Follows the principle of “learning by doing” and provides numerous fully through-calculated examples for active learning, immediate recall, and self-examination; Provides a holistic understanding of vascular functioning and the integration of information from different disciplines to enable students to use sophisticated numerical methods to simulate the response of the vascular system; Includes several case studies that integrate the presented material. Case studies address problems, such as the biomechanical rupture risk assessment of Abdominal Aortic Aneurysms, Finite Element analysis of structural and blood flow problems, the computation of wall stress and wall shear stress in the aorta.
    Type of Medium: Online Resource
    Pages: XXIII, 608 p. 283 illus., 271 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030709662
    DDC: 571.43
    Language: English
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  • 2
    Publication Date: 2015-08-05
    Description: Article It is widely acknowledged that some form of carbon capture will be necessary to limit global warming to less than 2 °C, but to what extent remains unclear. Here, using climate-carbon models, the authors quantify the amount of negative emissions and carbon storage capacity required to meet this target. Nature Communications doi: 10.1038/ncomms8958 Authors: T. Gasser, C. Guivarch, K. Tachiiri, C. D. Jones, P. Ciais
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 3
    Publication Date: 2013-09-26
    Description: There is no single correct procedure for the attribution of responsibility for growth in atmospheric CO2 concentrations because results are closely dependant on how carbon sinks are accounted for and linked to emissions. Now research that uses two different approaches—one assuming geographically constrained sinks and the other unconstrained—unambiguously attributes the largest share of the historical increase in CO2 to developed countries. Nature Climate Change 3 926 doi: 10.1038/nclimate1942
    Print ISSN: 1758-678X
    Electronic ISSN: 1758-6798
    Topics: Geosciences
    Published by Springer Nature
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  • 4
    Publication Date: 2016-09-21
    Description: Natural carbon sinks currently absorb approximately half of the anthropogenic CO 2 emitted by fossil fuel burning, cement production and land-use change. However, this airborne fraction may change in the future depending on the emissions scenario. An important issue in developing carbon budgets to achieve climate stabilisation targets is the behaviour of natural carbon sinks, particularly under low emissions mitigation scenarios as required to meet the goals of the Paris Agreement. A key requirement for low carbon pathways is to quantify the effectiveness of negative emissions technologies which will be strongly affected by carbon cycle feedbacks. Here we find that Earth system models suggest significant weakening, even potential reversal, of the ocean and land sinks under future low emission scenarios. For the RCP2.6 concentration pathway, models project land and ocean sinks to weaken to 0.8 ± 0.9 and 1.1 ± 0.3 GtC yr −1 respectively for the second half of t...
    Print ISSN: 1748-9318
    Electronic ISSN: 1748-9326
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering
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  • 5
    Publication Date: 1997-07-18
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gasser, T -- Muller-Myhsok, B -- Wszolek, Z K -- Durr, A -- Vaughan, J R -- Bonifati, V -- Meco, G -- Bereznai, B -- Oehlmann, R -- Agid, Y -- Brice, A -- Wood, N -- New York, N.Y. -- Science. 1997 Jul 18;277(5324):388-9; author reply 389.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9518367" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Age of Onset ; Chromosomes, Human, Pair 4/*genetics ; *Genetic Linkage ; Humans ; Lod Score ; Microsatellite Repeats ; Middle Aged ; Mutation ; Parkinson Disease/*genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2018
    Print ISSN: 1752-0894
    Electronic ISSN: 1752-0908
    Topics: Geosciences
    Published by Springer Nature
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  • 7
    Publication Date: 2017-08-26
    Description: Materials, Vol. 10, Pages 994: Growth Description for Vessel Wall Adaptation: A Thick-Walled Mixture Model of Abdominal Aortic Aneurysm Evolution Materials doi: 10.3390/ma10090994 Authors: Andrii Grytsan Thomas Eriksson Paul Watton T. Gasser (1) Background: Vascular tissue seems to adapt towards stable homeostatic mechanical conditions, however, failure of reaching homeostasis may result in pathologies. Current vascular tissue adaptation models use many ad hoc assumptions, the implications of which are far from being fully understood; (2) Methods: The present study investigates the plausibility of different growth kinematics in modeling Abdominal Aortic Aneurysm (AAA) evolution in time. A structurally motivated constitutive description for the vessel wall is coupled to multi-constituent tissue growth descriptions; Constituent deposition preserved either the constituent’s density or its volume, and Isotropic Volume Growth (IVG), in-Plane Volume Growth (PVG), in-Thickness Volume Growth (TVG) and No Volume Growth (NVG) describe the kinematics of the growing vessel wall. The sensitivity of key modeling parameters is explored, and predictions are assessed for their plausibility; (3) Results: AAA development based on TVG and NVG kinematics provided not only quantitatively, but also qualitatively different results compared to IVG and PVG kinematics. Specifically, for IVG and PVG kinematics, increasing collagen mass production accelerated AAA expansion which seems counterintuitive. In addition, TVG and NVG kinematics showed less sensitivity to the initial constituent volume fractions, than predictions based on IVG and PVG; (4) Conclusions: The choice of tissue growth kinematics is of crucial importance when modeling AAA growth. Much more interdisciplinary experimental work is required to develop and validate vascular tissue adaption models, before such models can be of any practical use.
    Electronic ISSN: 1996-1944
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by MDPI Publishing
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  • 8
    Publication Date: 2016-03-18
    Description: Knowledge of the contribution that individual countries have made to global radiative forcing is important to the implementation of the agreement on "common but differentiated responsibilities" reached by the United Nations Framework Convention on Climate Change. Over the past three decades, China has experienced rapid economic development, accompanied by increased emission of greenhouse gases, ozone precursors and aerosols, but the magnitude of the associated radiative forcing has remained unclear. Here we use a global coupled biogeochemistry-climate model and a chemistry and transport model to quantify China's present-day contribution to global radiative forcing due to well-mixed greenhouse gases, short-lived atmospheric climate forcers and land-use-induced regional surface albedo changes. We find that China contributes 10% +/- 4% of the current global radiative forcing. China's relative contribution to the positive (warming) component of global radiative forcing, mainly induced by well-mixed greenhouse gases and black carbon aerosols, is 12% +/- 2%. Its relative contribution to the negative (cooling) component is 15% +/- 6%, dominated by the effect of sulfate and nitrate aerosols. China's strongest contributions are 0.16 +/- 0.02 watts per square metre for CO2 from fossil fuel burning, 0.13 +/- 0.05 watts per square metre for CH4, -0.11 +/- 0.05 watts per square metre for sulfate aerosols, and 0.09 +/- 0.06 watts per square metre for black carbon aerosols. China's eventual goal of improving air quality will result in changes in radiative forcing in the coming years: a reduction of sulfur dioxide emissions would drive a faster future warming, unless offset by larger reductions of radiative forcing from well-mixed greenhouse gases and black carbon.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Bengang -- Gasser, Thomas -- Ciais, Philippe -- Piao, Shilong -- Tao, Shu -- Balkanski, Yves -- Hauglustaine, Didier -- Boisier, Juan-Pablo -- Chen, Zhuo -- Huang, Mengtian -- Li, Laurent Zhaoxin -- Li, Yue -- Liu, Hongyan -- Liu, Junfeng -- Peng, Shushi -- Shen, Zehao -- Sun, Zhenzhong -- Wang, Rong -- Wang, Tao -- Yin, Guodong -- Yin, Yi -- Zeng, Hui -- Zeng, Zhenzhong -- Zhou, Feng -- England -- Nature. 2016 Mar 17;531(7594):357-61. doi: 10.1038/nature17165.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sino-French Institute for Earth System Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. ; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China. ; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France. ; Centre International de Recherche en Environnement et Developpement, CNRS-PontsParisTech-EHESS-AgroParisTech-CIRAD, 94736 Nogent-sur-Marne, France. ; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing 100085, China. ; Laboratoire de Meteorologie Dynamique, CNRS, Universite Pierre et Marie Curie-Paris 6, 75252 Paris, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26983540" target="_blank"〉PubMed〈/a〉
    Keywords: Aerosols/analysis/chemistry ; Air Pollution/*analysis ; Atmosphere/*chemistry ; Carbon Dioxide/analysis ; China ; Fossil Fuels ; *Greenhouse Effect ; Methane/analysis ; Soot/analysis ; Sulfates/analysis ; Sulfur Dioxide/analysis ; Uncertainty
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1981-08-14
    Description: Evidence is presented that the liver effects an essentially complete degradation of plasma uridine in a single pass and replaces it largely from hepatic pools of acid-soluble uridine nucleotides. The concentration of uridine in the hepatic vein of the rat was essentially the same as that in the arterial circulation and portal vein. However, the isolated perfused rat liver degraded more than 90 percent of infused [5-3H]uridine in a single passage. Similar results were found in vivo when tracer amounts of [3H]uridine and [14C]uridine were infused into the portal vein of an intact rat. Furthermore, less than 2 percent of the infused uridine entered the acid-soluble nucleotide pools of the liver after 30 minutes of infusion. Intraperitoneal injection of [3H]orotate allowed selective labeling of liver (and kidney) pyrimidines. After 3 hours, the specific activity of uridine in the hepatic vein was more than three times that in the arterial circulation. This unusual exchange, which is not saturated even at uridine concentrations as high as 50 microM, contributes to the rapid turnover of plasma uridine and explains its inefficient utilization in peripheral tissues.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gasser, T -- Moyer, J D -- Handschumacher, R E -- New York, N.Y. -- Science. 1981 Aug 14;213(4509):777-8.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7256279" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Liver/*metabolism ; Metabolic Clearance Rate ; Rats ; Tissue Distribution ; Uridine/blood/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2018-03-30
    Description: Emission inventories are widely used by the climate community, but their uncertainties are rarely accounted for. In this study, we evaluate the uncertainty in projected climate change induced by uncertainties in fossil-fuel emissions, accounting for non-CO 2 species co-emitted with the combustion of fossil-fuels and their use in industrial processes. Using consistent historical reconstructions and three contrasted future projections of fossil-fuel extraction from Mohr et al we calculate CO 2 emissions and their uncertainties stemming from estimates of fuel carbon content, net calorific value and oxidation fraction. Our historical reconstructions of fossil-fuel CO 2 emissions are consistent with other inventories in terms of average and range. The uncertainties sum up to a ±15% relative uncertainty in cumulative CO 2 emissions by 2300. Uncertainties in the emissions of non-CO 2 species associated with the use of fossil fuel...
    Print ISSN: 1748-9318
    Electronic ISSN: 1748-9326
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering
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