Academic literature on the topic 'Quantification de la graisse'
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Journal articles on the topic "Quantification de la graisse"
Sottier, D., J. M. Petit, S. Guiu, S. Hamza, H. Benhamiche, P. Hillon, J. P. Cercueil, D. Krausé, and 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, no. 9 (September 2013): 889–94. http://dx.doi.org/10.1016/j.jradio.2013.02.019.
Full textBuscarnera, Giuseppe, Changbum Sohn, and 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.
Full textUllah, Riaz, Shabir Ahmad, Aimen Atiq, Hidayat Hussain, Najeeb ur Rehman, Naser M. AbdElsalam, and Muhammad Adnan. "QUANTIFICATION AND ANTIBACTERIAL ACTIVITY OF FLAVONOIDS IN COFFEE SAMPLES." African Journal of Traditional, Complementary and Alternative Medicines 12, no. 4 (June 27, 2015): 84–86. http://dx.doi.org/10.21010/ajtcam.v12i4.13.
Full textMILLS, P. A., R. G. ROTTER, and R. R. MARQUARDT. "MODIFICATION OF THE GLUCOSAMINE METHOD FOR THE QUANTIFICATION OF FUNGAL CONTAMINATION." Canadian Journal of Animal Science 69, no. 4 (December 1, 1989): 1105–6. http://dx.doi.org/10.4141/cjas89-128.
Full textBirsan, Rares I., Peter Wilde, Keith W. Waldron, and Dilip K. Rai. "Recovery of Polyphenols from Brewer’s Spent Grains." Antioxidants 8, no. 9 (September 7, 2019): 380. http://dx.doi.org/10.3390/antiox8090380.
Full textNoma, Satoshi, Yosuke Kikuchi, Megumi Satou, Tomoki Tanaka, Toshiyuki Takiya, Hideki Okusu, Satoshi Futo, Reona Takabatake, Kazumi Kitta, and Junichi Mano. "Simple, Precise, and Less Biased GMO Quantification by Multiplexed Genetic Element-Specific Digital PCR." Journal of AOAC INTERNATIONAL 105, no. 1 (October 9, 2021): 159–66. http://dx.doi.org/10.1093/jaoacint/qsab138.
Full textŽivković, Andrej, Dejan Gođevac, Blaž Cigić, Tomaž Polak, and Tomaž Požrl. "Identification and Quantification of Selected Benzoxazinoids and Phenolics in Germinated Spelt (Triticum spelta)." Foods 12, no. 9 (April 24, 2023): 1769. http://dx.doi.org/10.3390/foods12091769.
Full textKasai, Midori. "The Visualization and Quantification of Water Distribution in Rice Grains during Cooking." Nippon Shokuhin Kagaku Kogaku Kaishi 58, no. 10 (2011): 506–10. http://dx.doi.org/10.3136/nskkk.58.506.
Full textWang, Yongsheng, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, Li Xin Wen, and Aike Li. "Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy." International Journal of Animal Science and Technology 5, no. 1 (2021): 7. http://dx.doi.org/10.11648/j.ijast.20210501.12.
Full textBoubrit, Hassiba, and Bachir Melbouci. "Quantification of the crushing of grains by the calculation of the surfaces." European Journal of Environmental and Civil Engineering 24, no. 13 (October 24, 2018): 2284–305. http://dx.doi.org/10.1080/19648189.2018.1505661.
Full textDissertations / Theses on the topic "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.
Full textThermal 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.
Full textDaudé, 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.
Full textImproving 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.
Full textIntroduction: 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.
Full textGuinet, 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.
Full textIn 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/.
Full textBen, 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.
Full textUranium 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.
Full textThe 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.
Full textBooks on the topic "Quantification de la graisse"
Condamin, Laurent. Risk Quantification. New York: John Wiley & Sons, Ltd., 2007.
Find full textFerré, François, ed. Gene Quantification. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4164-5.
Full textSoize, Christian. Uncertainty Quantification. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54339-0.
Full textCondamin, Laurent, Jean-Paul Louisot, and Patrick Naïm, eds. Risk Quantification. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119209331.
Full textFrançois, Ferré, ed. Gene quantification. Boston: Birkhäuser, 1997.
Find full textFrance, Société mathématique de, ed. Quantification relativiste. Montrouge: Société Mathématique de France, 1991.
Find full textLefebvre, Jean-Pierre. La mauvaise graisse: Essai de pathologie bureaucratique. Luneray: Bertout, 1999.
Find full textNishisato, Shizuhiko, Eric J. Beh, Rosaria Lombardo, and Jose G. Clavel. Modern Quantification Theory. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2470-4.
Full textHamm, Fritz, and Erhard Hinrichs, eds. Plurality and Quantification. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-2706-8.
Full textMelaragno, Michele. Quantification in Science. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6524-2.
Full textBook chapters on the topic "Quantification de la graisse"
Haschke, Michael. "Quantification." In 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.
Full textJones, Charles. "Quantification." In Studies in Linguistics and Philosophy, 172–200. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3478-1_5.
Full textGries, David, and Fred B. Schneider. "Quantification." In 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.
Full textGutiérrez-Rexach, Javier. "Quantification." In The Handbook of Hispanic Linguistics, 307–32. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118228098.ch16.
Full textPeregrin, Jaroslav. "Quantification." In Doing Worlds with Words, 76–105. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8468-5_5.
Full textWilde, Douglass J. "Quantification." In Jung’s Personality Theory Quantified, 17–21. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-100-4_3.
Full textDutilh Novaes, Catarina, Cecilia Martini Bonadeo, and Cecilia Martini Bonadeo. "Quantification." In Encyclopedia of Medieval Philosophy, 1093–96. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-1-4020-9729-4_425.
Full textNovaes, Catarina Dutilh. "Quantification." In Encyclopedia of Medieval Philosophy, 1625–29. Dordrecht: Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-024-1665-7_425.
Full textÇalışkan, Ahmet Selami. "Quantification." In Homo Faber and Homo Economicus in the Scientific Revolution, 36–78. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003275756-4.
Full textIacona, Andrea. "Quantification." In 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.
Full textConference papers on the topic "Quantification de la graisse"
Picka, Jeffrey D. "Uncertainty quantification and granular thermodynamics." In 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.
Full textJ. Paliwal, N.S. Visen, D.S. Jayas, and N.D.G. White. "Quantification of Variations in Machine-Vision-Computed Morphological Features of Cereal Grains." In 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.
Full textBuono, Antonio, Shawn Fullmer, Kelly Luck, Keith Peterson, Hubert king, PJ More, and Stephanie LeBlanc. "Quantitative Digital Petrography: Full Thin Section Quantification of Pore Space and Grains." In SPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/194899-ms.
Full textPortugal, D., J. P. Souza, M. Kuroda, A. Vidal, A. De Mello, M. Resende, and Y. M. Silva. "Quantification of Mineral Grains and Pores in Thin Sections Using Mathematical Morphology." In 85th EAGE Annual Conference & Exhibition - Workshop Programme. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.2024101299.
Full textYusa, M., and E. T. Bowman. "Quantification of time-dependent microstructural change of a silty sand under load." In 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.
Full textKemper, Björn, Alexander Höink, Daniel Carl, and Gert von Bally. "Algorithm for fringe independent quantification of noise in wrapped phase distributions obtained by digital holography and speckle interferometry." In Speckle06: Speckles, From Grains to Flowers, edited by Pierre Slangen and Christine Cerruti. SPIE, 2006. http://dx.doi.org/10.1117/12.695489.
Full textGavrilenko, Maxim, Valentina Batanova, Xavier Llovet, Alina Koshlyakova, Alexander Sobolev, Daria Gavrilenko, and Stepan Krasheninnikov. "Secondary fluorescence effect quantification of EPMA analyses of olivine grains embedded in basaltic glass." In Goldschmidt2022. France: European Association of Geochemistry, 2022. http://dx.doi.org/10.46427/gold2022.10155.
Full textSiefert, John A., Jonathan D. Parker, Ryan MacLachlan, Sabrina Yan, and Rachel Thomson. "Assessment and Quantification of Damage in the Grade 91 Steel Partially Transformed Zone." In AM-EPRI 2019, edited by J. Shingledecker and M. Takeyama. ASM International, 2019. http://dx.doi.org/10.31399/asm.cp.am-epri-2019p0022.
Full textWu, Zhidi, Eric Edelman, Phil Smith, Sean Smith, Trevor Irons, and Brian McPherson. "Uncertainty Quantification of Young's Modulus on Core Scale: A Bayesian Analysis on a Comprehensive Geomechanical Model." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0367.
Full textAndaru, Arkanu, and Sarah Sausan. "Intelligent Detection of SEM Mineralogy Using Dynamic Segmentation Algorithm in Geothermal Sedimentary Reservoir: Case Study with Quantification of Quartz Overgrowth." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215327-ms.
Full textReports on the topic "Quantification de la graisse"
Konolige, Kurt. Quantification in Autoepistemic Logic. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada461025.
Full textde Caritat, Patrice, Brent McInnes, and 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.
Full textBelliveau, A., R. Tunuguntla, and A. Noy. Carbon nanotube sizing and quantification. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1132015.
Full textUrban, Nathan Mark. Climate Uncertainty Quantification at LANL. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1250690.
Full textGaines, William L., Richy J. Harrod, and 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.
Full textMarina, Oana. Microwave digestion and quantification procedure. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1669075.
Full textThiagarajan, J. Uncertainty Quantification in Scientific ML. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1670557.
Full textStracuzzi, David, Maximillian Chen, Michael Darling, Matthew Peterson, and Charlie Vollmer. Uncertainty Quantification for Machine Learning. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1733262.
Full textKarpius, Peter. Nuclide Identification, Quantification, and Uncertainty. Office of Scientific and Technical Information (OSTI), May 2021. http://dx.doi.org/10.2172/1782632.
Full textSeifried, Jeffrey E. Adjoint-Based Uncertainty Quantification with MCNP. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1110395.
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