Literatura académica sobre el tema "Quantification de la graisse"
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Artículos de revistas sobre el tema "Quantification de la graisse"
Sottier, D., J. M. Petit, S. Guiu, S. Hamza, H. Benhamiche, P. Hillon, J. P. Cercueil, D. Krausé y B. Guiu. "Quantification de la graisse viscérale et sous-cutanée au scanner : corrélation inter-observateur d’une technique monocoupe". Journal de Radiologie Diagnostique et Interventionnelle 94, n.º 9 (septiembre de 2013): 889–94. http://dx.doi.org/10.1016/j.jradio.2013.02.019.
Texto completoBuscarnera, Giuseppe, Changbum Sohn y Dawa Seo. "Quantification of grain breakage during creep based on X-ray microtomography". E3S Web of Conferences 205 (2020): 09004. http://dx.doi.org/10.1051/e3sconf/202020509004.
Texto completoUllah, Riaz, Shabir Ahmad, Aimen Atiq, Hidayat Hussain, Najeeb ur Rehman, Naser M. AbdElsalam y Muhammad Adnan. "QUANTIFICATION AND ANTIBACTERIAL ACTIVITY OF FLAVONOIDS IN COFFEE SAMPLES". African Journal of Traditional, Complementary and Alternative Medicines 12, n.º 4 (27 de junio de 2015): 84–86. http://dx.doi.org/10.21010/ajtcam.v12i4.13.
Texto completoMILLS, P. A., R. G. ROTTER y R. R. MARQUARDT. "MODIFICATION OF THE GLUCOSAMINE METHOD FOR THE QUANTIFICATION OF FUNGAL CONTAMINATION". Canadian Journal of Animal Science 69, n.º 4 (1 de diciembre de 1989): 1105–6. http://dx.doi.org/10.4141/cjas89-128.
Texto completoBirsan, Rares I., Peter Wilde, Keith W. Waldron y Dilip K. Rai. "Recovery of Polyphenols from Brewer’s Spent Grains". Antioxidants 8, n.º 9 (7 de septiembre de 2019): 380. http://dx.doi.org/10.3390/antiox8090380.
Texto completoNoma, Satoshi, Yosuke Kikuchi, Megumi Satou, Tomoki Tanaka, Toshiyuki Takiya, Hideki Okusu, Satoshi Futo, Reona Takabatake, Kazumi Kitta y Junichi Mano. "Simple, Precise, and Less Biased GMO Quantification by Multiplexed Genetic Element-Specific Digital PCR". Journal of AOAC INTERNATIONAL 105, n.º 1 (9 de octubre de 2021): 159–66. http://dx.doi.org/10.1093/jaoacint/qsab138.
Texto completoŽivković, Andrej, Dejan Gođevac, Blaž Cigić, Tomaž Polak y Tomaž Požrl. "Identification and Quantification of Selected Benzoxazinoids and Phenolics in Germinated Spelt (Triticum spelta)". Foods 12, n.º 9 (24 de abril de 2023): 1769. http://dx.doi.org/10.3390/foods12091769.
Texto completoKasai, Midori. "The Visualization and Quantification of Water Distribution in Rice Grains during Cooking". Nippon Shokuhin Kagaku Kogaku Kaishi 58, n.º 10 (2011): 506–10. http://dx.doi.org/10.3136/nskkk.58.506.
Texto completoWang, Yongsheng, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, Li Xin Wen y Aike Li. "Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy". International Journal of Animal Science and Technology 5, n.º 1 (2021): 7. http://dx.doi.org/10.11648/j.ijast.20210501.12.
Texto completoBoubrit, Hassiba y Bachir Melbouci. "Quantification of the crushing of grains by the calculation of the surfaces". European Journal of Environmental and Civil Engineering 24, n.º 13 (24 de octubre de 2018): 2284–305. http://dx.doi.org/10.1080/19648189.2018.1505661.
Texto completoTesis sobre el tema "Quantification de la graisse"
Josset, Anne. "Suivi par thermométrie par imagerie par résonance magnétique (IRM) des ablations thermiques dans les tissus mous". Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD040.
Texto completoThermal ablation offers a promising alternative to traditional cancer treatment techniques, particularly due to its minimally invasive feature, which reduces morbidity and side effects. However, it requires the use of appropriate tools for real-time temperature monitoring to attest the effectiveness of the treatment and ensure the safety of the procedure. Magnetic Resonance Imaging (MRI) thermometry is recognized as the gold standard for this purpose, allowing for precise temperature mapping in aqueous tissues using the PRFS (Proton Resonance Frequency Shift) method. Nevertheless, the effectiveness of this method in fat-containing tissues requires careful evaluation. In this thesis, we developed a method to quantify the remaining fat peak signal after various fat suppression methods. This approach was assessed through both in vitro and in vivo experiments. We then evaluated the accuracy of PRFS MRI thermometry with several amounts of fat and different fat suppression methods. Our findings indicate that the residual fat signal impacts PRFS MRI temperature measurements. Consequently, a method was suggested to evaluate temperature variations without fat suppression techniques, using a water/fat separation algorithm. This approach is compatible with real-time sequences and enables accurate measurement of temperature variation in fat-containing tissues
Roullier, Vincent. "Classification floue et modélisation IRM : application à la quantification de la graisse pour une évaluation optimale des risques pathologiques associés à l'obésité". Phd thesis, Université d'Angers, 2008. http://tel.archives-ouvertes.fr/tel-00348028.
Texto completoDaudé, Pierre. "Quantification du tissu adipeux épicardique à haut champ par IRM-Dixon, pour le phénotypage de la cardiomyopathie diabétique". Electronic Thesis or Diss., Aix-Marseille, 2022. http://www.theses.fr/2022AIXM0333.
Texto completoImproving the management of cardiac complications in metabolic diseases, obesity and diabetes, is a major challenge for our society. The measurement of epicardial adipose tissue (EAT), a fat depot attached to the heart, is an emerging and promising diagnosis to identify patients at risk. We developed the automation of this measurement on routine MRI images by deep learning. Then, an innovative MRI technique was proposed to measure and characterize the EAT in 3D, combining: a free-breathing acquisition, an image reconstruction robust to cardio-respiratory motion and MRI imperfections, an optimized and validated fat characterization algorithm and the knowledge of the composition of ex-vivo EAT samples. Together, this allows for in vivo, non-invasive characterization of EAT, a novel diagnosis for cardiometabolic risk
Rahhal, Amer. "Identification and Quantification of Fibrosis and Adipose Tissue of the Atrial Myocardium using Cardiac Magnetic Resonance Imaging". Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS588.
Texto completoIntroduction: Atrial fibrillation is associated with an atrial cardiomyopathy composed mainly of fibrosis and adipose tissue accumulation. However, its detection is difficult in clinical practice. Notably, there is controversy on the ability of MRI to quantify these components as well as the clinical significance of this parameter. Methods: LA strain (PLAS) was evaluated with MRI feature tracking in 13 patients 24 hours before mitral valve surgery and 13 healthy controls. Histologic correlation biopsies was available in 10 patients. Atrial samples were collected from patients who underwent cardiac surgery. Samples were fixed in formaldehyde and analyzed using 3D MRI acquisitions including T1 mapping and DIXON imaging. Samples were histologically analyzed in the same orientation used for MRI study. Results: We first studied the correlation between PLAS and atrial remodeling. PLAS was lower in patients with mitral regurgitation than in healthy subjects (P˂0.001). A strong association was found between PLAS and the degree of fibrofatty replacement evaluated by histologic analysis (r=-0.75, P=0.017). In a second study, we studied the ability of MRI to discriminate the various atrial components. High correlation was observed between T1 Mapping and histology for total r=0.93, interstitial r=0.93, and fatty fibrosis r=0.96. High correlation between DIXON and histology were found in fat r=0.98. Conclusion: PLAS correlates with the degree of fibrofatty infiltration which could be used as an imaging biomarker for the atrial cardiomyopathy. High field ex vivo MRI is able to identify the various components of the atrial myocardium; however, in vivo application remains a challenge
Masson, François-Xavier. "Quantification 3D de la morphologie des grains d'or dans les sédiments meubles". Doctoral thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/67752.
Texto completoGuinet, Maé. "Quantification des flux d’azote induits par les cultures de légumineuses et étude de leurs déterminants : comparaison de 10 espèces de légumineuses à graines". Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK011/document.
Texto completoIn the context of agroecological transition, the reintroduction of legume crops should play a key role in cropping system sustainability by allowing a reduction of nitrogen (N) inputs. But few references are available concerning the agronomical and ecological services provided by a wide range of legume crops, particularly within crops succession scale. Thus, the main objective of our study is to quantify the N fluxes during and after the legume crops taking into account 10 legume crops (peas, lupin, faba bean, soybean...). Our experiment consists in i) quantifying symbiotic N fixation depending on the amount of soil inorganic N, the mineralisation of N present in legume crop residues after soil incorporation and N losses outside of the soil-plant system (leaching, emission of nitrous oxide), ii) identifying plant biological traits associated to N fluxes. Thus, different N fluxes were quantified during a two-year field experiment, i.e. the first year (2014) legume crops were implanted and followed by wheat the second year (14-15) after incorportation of legume residues. This experiment was repeated in 2016-2017.In parallel, plant root traits were characterised during greenhouse hydroponic experiments
Outal, Souhaïl. "Quantification par analyse d'images de la granulométrie des roches fragmentées : amélioration de l'extraction morphologique des surfaces, amélioration de la reconstruction stéréologique". Phd thesis, École Nationale Supérieure des Mines de Paris, 2006. http://pastel.archives-ouvertes.fr/pastel-00002394/en/.
Texto completoBen, Saada Mariem. "Étude du comportement visco-plastique du dioxyde d'uranium : quantification par analyse EBSD et ECCI des effets liés aux conditions de sollicitation et à la microstructure initiale". Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0270/document.
Texto completoUranium dioxide (UO2) is used as a fuel, in pressurized water nuclear reactors, in the form of pellets produced by powder metallurgy. During power transients, the center part of pellets undergoes visco-plastic deformation by creep mechanisms. These mechanisms can be partially reproduced, out of irradiation, by uniaxial compression tests at high temperature (typically 1500°C). Testing conditions and initial microstructure of the UO2 pellets influence their macroscopic mechanical behavior. At the grain scale, sub-structuring mechanisms are involved, but, up to now, the sub-structure is not quantified and the role of pores on these mechanisms is unknown. In order to provide answers to these points, two batches of pellets (L1 and L2), characterized by a similar grain size, a same volume fraction of pores, but different pores distribution (2.5 times more intra-granular pores in L1 than in L2), were elaborated. They were submitted to mechanical tests under different conditions. The result shows that L1 has as a lower creep rate than L2. Electron Backscatter Diffraction (EBSD) and Electron Channeling Contrast Imaging (ECCI) techniques were used and optimized for porous materials to analyze the evolution of the microstructure after deformation. An original EBSD methodology was implemented to detect Sub-Grain Boundaries (S-GB) with very low disorientation angles (down to 0.1°), study statistically the grain fragmentation into sub-grains and evaluate the average density of the geometrically necessary dislocations. Thanks to ECCI, the arrangement of dislocations in some S-GB was evidenced and analyzed. EBSD and ECCI complementarity allowed relating the distribution of pores within the grains and the S-GB location. The results obtained on the two batches show that the number and the linear fraction of S-GB increases with the deformation level and rate. At high deformation rates, new grains appear by a mechanism of dynamic recovery/recrystallization by rotation of sub-grains. For identical loading conditions and strain rates, the samples of batch L1 have a number and a linear fraction of S-GB that are significantly higher than those of batch L2. Furthermore, in batch L1, S-GB are located essentially in the vicinity of the grain boundaries while they are distributed throughout the grain for batch L2. These microstructural differences seem to be related to a dislocation's mean free path reduction due to the presence of intra-granular pores
Brun, Thomas. "Développement de méthode dosimétrique et de quantification du volume cible par IRM multiparamétrique pour le traitement ultra-focal du cancer de la prostate en curiethérapie de grains liés d'iode-125 personnalisés". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES071.
Texto completoThe conventional treatment of localized prostate cancer, the most common cancer in men, is based on whole-gland treatment approaches and drives a significant risk of adverse effects in terms of continence and sexuality. Currently, various treatment strategies include surgery, external beam radiotherapy, or brachytherapy. However, surgical specimens have shown that in a significant proportion of patients, the risk of cancer progression is associated with a single focus of undifferentiated cancer. Therefore, treating the primary index lesion would achieve both cancer control and preservation of quality of life. Although recent developments in imaging and biopsy technologies can outline the extent of the cancer, the challenge of focusing the required precision with the treatment agent remains a daunting task, and focal treatments proposed between active surveillance of low-risk Prostate Cancer and definitive treatment of aggressive forms are still options under assessment Indeed, focal treatments raise questions that are still imperfectly resolved for an optimal clinical implementation: How to precisely define the target volume? How to focus the therapeutic agent on this target? And finally, how to monitor the rest of the gland after treatment? The aim of this thesis project is to develop and evaluate the dosimetric feasibility of an experimental ultra-focal treatment for prostate cancer using iodine-125 seeds brachytherapy and to develop a quantification method for the precise definition of the primary tumor focus using multiparametric MRI (mpMRI) imaging. To achieve this, the number and activity of I-125 seeds used for conventional prostate brachytherapy are defined based on the volume of the entire gland (approximately 2 seeds/cc). By definition, ultra-focal brachytherapy targets complex-shaped and smaller volumes, prompting us to develop a dosimetric method for implanting multiple seeds with low activity. Secondly, the precision objective in seed delivery led us to implement the sequential use of three distinct imaging systems: mpMRI to inform on the position and volume of the target, 3D transrectal ultrasound to deliver a fiducial marker into the target leveraging non-rigid fusion with mpMRI, and a 2D biplanar ultrasound probe required for treatment planning and seed placement. Finally, the evaluation of treatment quality - that is, the dose delivered to the single target as opposed to the entire gland in conventional brachytherapy - was made possible by developing a quantification method based on the precise definition of the position of the target tumor volume to be treated from mpMRI data and compared to dosimetric data obtained for each patient in the study
Beaujeux, Rémy. "Spécificité, fonction et imagerie de la graisse épidurale lombaire postérieure". Université Louis Pasteur (Strasbourg) (1971-2008), 1994. http://www.theses.fr/1994STR11419.
Texto completoLibros sobre el tema "Quantification de la graisse"
Condamin, Laurent. Risk Quantification. New York: John Wiley & Sons, Ltd., 2007.
Buscar texto completoFerré, François, ed. Gene Quantification. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4164-5.
Texto completoSoize, Christian. Uncertainty Quantification. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54339-0.
Texto completoCondamin, Laurent, Jean-Paul Louisot y Patrick Naïm, eds. Risk Quantification. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119209331.
Texto completoFrançois, Ferré, ed. Gene quantification. Boston: Birkhäuser, 1997.
Buscar texto completoFrance, Société mathématique de, ed. Quantification relativiste. Montrouge: Société Mathématique de France, 1991.
Buscar texto completoLefebvre, Jean-Pierre. La mauvaise graisse: Essai de pathologie bureaucratique. Luneray: Bertout, 1999.
Buscar texto completoNishisato, Shizuhiko, Eric J. Beh, Rosaria Lombardo y Jose G. Clavel. Modern Quantification Theory. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2470-4.
Texto completoHamm, Fritz y Erhard Hinrichs, eds. Plurality and Quantification. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2706-8.
Texto completoMelaragno, Michele. Quantification in Science. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6524-2.
Texto completoCapítulos de libros sobre el tema "Quantification de la graisse"
Haschke, Michael. "Quantification". En Laboratory Micro-X-Ray Fluorescence Spectroscopy, 157–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04864-2_4.
Texto completoJones, Charles. "Quantification". En Studies in Linguistics and Philosophy, 172–200. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3478-1_5.
Texto completoGries, David y Fred B. Schneider. "Quantification". En A Logical Approach to Discrete Math, 139–56. New York, NY: Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4757-3837-7_9.
Texto completoGutiérrez-Rexach, Javier. "Quantification". En The Handbook of Hispanic Linguistics, 307–32. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118228098.ch16.
Texto completoPeregrin, Jaroslav. "Quantification". En Doing Worlds with Words, 76–105. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8468-5_5.
Texto completoWilde, Douglass J. "Quantification". En Jung’s Personality Theory Quantified, 17–21. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-100-4_3.
Texto completoDutilh Novaes, Catarina, Cecilia Martini Bonadeo y Cecilia Martini Bonadeo. "Quantification". En Encyclopedia of Medieval Philosophy, 1093–96. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-1-4020-9729-4_425.
Texto completoNovaes, Catarina Dutilh. "Quantification". En Encyclopedia of Medieval Philosophy, 1625–29. Dordrecht: Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-024-1665-7_425.
Texto completoÇalışkan, Ahmet Selami. "Quantification". En Homo Faber and Homo Economicus in the Scientific Revolution, 36–78. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003275756-4.
Texto completoIacona, Andrea. "Quantification". En LOGIC: Lecture Notes for Philosophy, Mathematics, and Computer Science, 99–108. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64811-4_11.
Texto completoActas de conferencias sobre el tema "Quantification de la graisse"
Picka, Jeffrey D. "Uncertainty quantification and granular thermodynamics". En POWDERS AND GRAINS 2013: Proceedings of the 7th International Conference on Micromechanics of Granular Media. AIP, 2013. http://dx.doi.org/10.1063/1.4811897.
Texto completoJ. Paliwal, N.S. Visen, D.S. Jayas y N.D.G. White. "Quantification of Variations in Machine-Vision-Computed Morphological Features of Cereal Grains". En 2002 Chicago, IL July 28-31, 2002. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2002. http://dx.doi.org/10.13031/2013.10462.
Texto completoBuono, Antonio, Shawn Fullmer, Kelly Luck, Keith Peterson, Hubert king, PJ More y Stephanie LeBlanc. "Quantitative Digital Petrography: Full Thin Section Quantification of Pore Space and Grains". En SPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/194899-ms.
Texto completoPortugal, D., J. P. Souza, M. Kuroda, A. Vidal, A. De Mello, M. Resende y Y. M. Silva. "Quantification of Mineral Grains and Pores in Thin Sections Using Mathematical Morphology". En 85th EAGE Annual Conference & Exhibition - Workshop Programme. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.2024101299.
Texto completoYusa, M. y E. T. Bowman. "Quantification of time-dependent microstructural change of a silty sand under load". En POWDERS AND GRAINS 2013: Proceedings of the 7th International Conference on Micromechanics of Granular Media. AIP, 2013. http://dx.doi.org/10.1063/1.4811925.
Texto completoKemper, Björn, Alexander Höink, Daniel Carl y Gert von Bally. "Algorithm for fringe independent quantification of noise in wrapped phase distributions obtained by digital holography and speckle interferometry". En Speckle06: Speckles, From Grains to Flowers, editado por Pierre Slangen y Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695489.
Texto completoGavrilenko, Maxim, Valentina Batanova, Xavier Llovet, Alina Koshlyakova, Alexander Sobolev, Daria Gavrilenko y Stepan Krasheninnikov. "Secondary fluorescence effect quantification of EPMA analyses of olivine grains embedded in basaltic glass". En Goldschmidt2022. France: European Association of Geochemistry, 2022. http://dx.doi.org/10.46427/gold2022.10155.
Texto completoSiefert, John A., Jonathan D. Parker, Ryan MacLachlan, Sabrina Yan y Rachel Thomson. "Assessment and Quantification of Damage in the Grade 91 Steel Partially Transformed Zone". En AM-EPRI 2019, editado por J. Shingledecker y M. Takeyama. ASM International, 2019. http://dx.doi.org/10.31399/asm.cp.am-epri-2019p0022.
Texto completoWu, Zhidi, Eric Edelman, Phil Smith, Sean Smith, Trevor Irons y Brian McPherson. "Uncertainty Quantification of Young's Modulus on Core Scale: A Bayesian Analysis on a Comprehensive Geomechanical Model". En 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0367.
Texto completoAndaru, Arkanu y Sarah Sausan. "Intelligent Detection of SEM Mineralogy Using Dynamic Segmentation Algorithm in Geothermal Sedimentary Reservoir: Case Study with Quantification of Quartz Overgrowth". En SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215327-ms.
Texto completoInformes sobre el tema "Quantification de la graisse"
Konolige, Kurt. Quantification in Autoepistemic Logic. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1991. http://dx.doi.org/10.21236/ada461025.
Texto completode Caritat, Patrice, Brent McInnes y Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.
Texto completoBelliveau, A., R. Tunuguntla y A. Noy. Carbon nanotube sizing and quantification. Office of Scientific and Technical Information (OSTI), mayo de 2014. http://dx.doi.org/10.2172/1132015.
Texto completoUrban, Nathan Mark. Climate Uncertainty Quantification at LANL. Office of Scientific and Technical Information (OSTI), abril de 2016. http://dx.doi.org/10.2172/1250690.
Texto completoGaines, William L., Richy J. Harrod y John F. Lehmkuhl. Monitoring biodiversity: quantification and interpretation. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1999. http://dx.doi.org/10.2737/pnw-gtr-443.
Texto completoMarina, Oana. Microwave digestion and quantification procedure. Office of Scientific and Technical Information (OSTI), septiembre de 2020. http://dx.doi.org/10.2172/1669075.
Texto completoThiagarajan, J. Uncertainty Quantification in Scientific ML. Office of Scientific and Technical Information (OSTI), septiembre de 2020. http://dx.doi.org/10.2172/1670557.
Texto completoStracuzzi, David, Maximillian Chen, Michael Darling, Matthew Peterson y Charlie Vollmer. Uncertainty Quantification for Machine Learning. Office of Scientific and Technical Information (OSTI), junio de 2017. http://dx.doi.org/10.2172/1733262.
Texto completoKarpius, Peter. Nuclide Identification, Quantification, and Uncertainty. Office of Scientific and Technical Information (OSTI), mayo de 2021. http://dx.doi.org/10.2172/1782632.
Texto completoSeifried, Jeffrey E. Adjoint-Based Uncertainty Quantification with MCNP. Office of Scientific and Technical Information (OSTI), septiembre de 2011. http://dx.doi.org/10.2172/1110395.
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