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1

Johnson, P., JK Chan, IM Vavasour, S. Abel, LE Lee, H. Yong, C. Laule et al. „Quantitative MRI findings indicate diffuse white matter damage in Susac Syndrome“. Multiple Sclerosis Journal - Experimental, Translational and Clinical 8, Nr. 1 (Januar 2022): 205521732210788. http://dx.doi.org/10.1177/20552173221078834.

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Background Susac Syndrome (SuS) is an autoimmune endotheliopathy impacting the brain, retina and cochlea that can clinically mimic multiple sclerosis (MS). Objective To evaluate non-lesional white matter demyelination changes in SuS compared to MS and healthy controls (HC) using quantitative MRI. Methods 3T MRI including myelin water imaging and diffusion basis spectrum imaging were acquired for 7 SuS, 10 MS and 10 HC participants. Non-lesional white matter was analyzed in the corpus callosum (CC) and normal appearing white matter (NAWM). Groups were compared using ANCOVA with Tukey correction. Results SuS CC myelin water fraction (mean 0.092) was lower than MS(0.11, p = 0.01) and HC(0.11, p = 0.04). Another myelin marker, radial diffusivity, was increased in SuS CC(0.27μm2/ms) compared to HC(0.21μm2/ms, p = 0.008) and MS(0.23μm2/ms, p = 0.05). Fractional anisotropy was lower in SuS CC(0.82) than HC(0.86, p = 0.04). Fiber fraction (reflecting axons) did not differ from HC or MS. In NAWM, radial diffusivity and apparent diffusion coefficient were significantly increased in SuS compared to HC(p < 0.001 for both measures) and MS(p = 0.003, p < 0.001 respectively). Conclusions Our results provided evidence of myelin damage in SuS, particularly in the CC, and more extensive microstructural injury in NAWM, supporting the hypothesis that there are widespread microstructural changes in SuS syndrome including diffuse demyelination.
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2

Furler, S. M., A. B. Jenkins und E. W. Kraegen. „Effect of insulin on [3H]deoxy-D-glucose pharmacokinetics in the rat“. American Journal of Physiology-Endocrinology and Metabolism 255, Nr. 6 (01.12.1988): E806—E811. http://dx.doi.org/10.1152/ajpendo.1988.255.6.e806.

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Despite its increasing use in physiological animal investigations, there has been no systematic study of the whole body kinetics of 2-deoxy-D-glucose (2DG) or its modification by insulin. A previously proposed model that included processes representing transport across cell walls and intracellular phosphorylation of 2DG was investigated. The model predictions were compared with the plasma disappearance of 2DG observed in the rat following intravenous bolus injection. Experiments were performed during euglycemia at varying levels of hyperinsulinemia. The model was adequate to describe empirically the experimental data after a correction was made for urine loss. However, the variation in model parameters with plasma insulin concentration was not consistent with the expected action of insulin on cellular efflux. A possible explanation could be a shift in the rate-limiting step from glucose transport to another prephosphorylation process under conditions of high tissue uptake. This suggests that either intracellular or extracellular diffusion may constitute a significant barrier to 2DG (and glucose) uptake under some conditions.
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3

Minko, T., A. Stefanov und V. Pozharov. „Selected Contribution: Lung hypoxia: antioxidant and antiapoptotic effects of liposomal α-tocopherol“. Journal of Applied Physiology 93, Nr. 4 (01.10.2002): 1550–60. http://dx.doi.org/10.1152/japplphysiol.00007.2002.

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The aim of this study is to examine the antioxidant and antiapoptotic activity of liposomal α-tocopherol (LAT) in anesthetized rats exposed to severe hypoxia. It was shown that intratracheal application of LAT normalized lung phospholipid composition and inhibited lipid peroxidation in lung tissues, which in turn decreased lung edema and damage and improved breathing pattern, oxygen diffusion, and lung gas exchange. LAT also limited the overexpression of genes encoding hypoxia inducible factor-1α and both studied forms of phospholipase A2, and it increased the power of cellular antioxidant and antiapoptotic defense by overexpressing genes encoding Mn- and Cu-Zn-cofactored superoxide dismutases, Bcl-2, and heat shock 70 proteins. The overexpression of studied caspases and their activity were downregulated, which significantly (1.6–2 times) limited apoptosis in lung cells. Finally, all these positive changes decreased mortality during hypoxia from ∼60% in untreated animals to ∼30% in the group of rats treated with LAT. The data obtained indicate that LAT may be useful for the correction of hypoxic lung injury.
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4

Bussolati, O., P. C. Laris, F. A. Nucci, V. Dall'Asta, N. Longo, G. G. Guidotti und G. C. Gazzola. „Dependence of L-arginine accumulation on membrane potential in cultured human fibroblasts“. American Journal of Physiology-Cell Physiology 253, Nr. 3 (01.09.1987): C391—C397. http://dx.doi.org/10.1152/ajpcell.1987.253.3.c391.

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The cell-to-medium distribution ratios at steady state of L-arginine (RArg) and of the lipid-soluble cation tetraphenylphosphonium (RTPP) were studied as a function of the membrane potential (Em) in adult human fibroblasts. The relationship between RArg and Em was qualitatively similar to that of RTPP and Em. Quantitatively, RArg and RTPP differed in that 1) RTPP was much greater than RArg when Em was near zero, indicating a significant binding component in the uptake of TPP+ but not of L-arginine, and 2) after a correction for binding when Em is near zero, RTPP was still greater than RArg so that RT/F . ln RTPP exceeded RT/F . ln RArg by 10-25 mV. The pattern of the redistribution of accumulated TPP+ and arginine after an alteration of Em was identical. In null-point experiments, the external [K+] for which there were no changes in cellular TPP+ or L-arginine in the presence of high valinomycin (the null points) were very similar for the two probes. Em calculated from the null-point measurements (-70(-)-80 mV) was also very similar to RT/F . ln RArg and thus smaller than RT/F.ln RTPP. It was concluded that 1) there was an additional TPP+ binding as cellular [TPP] rose in response to more negative membrane potentials, 2) the transport system for L-arginine in these cells (system y+) operates as a facilitated diffusion system driven by the membrane potential, and 3) in some circumstances, L-arginine could be employed as a probe of Em.
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5

An, Duo, Alan Chiu, James A. Flanders, Wei Song, Dahua Shou, Yen-Chun Lu, Lars G. Grunnet et al. „Designing a retrievable and scalable cell encapsulation device for potential treatment of type 1 diabetes“. Proceedings of the National Academy of Sciences 115, Nr. 2 (26.12.2017): E263—E272. http://dx.doi.org/10.1073/pnas.1708806115.

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Cell encapsulation has been shown to hold promise for effective, long-term treatment of type 1 diabetes (T1D). However, challenges remain for its clinical applications. For example, there is an unmet need for an encapsulation system that is capable of delivering sufficient cell mass while still allowing convenient retrieval or replacement. Here, we report a simple cell encapsulation design that is readily scalable and conveniently retrievable. The key to this design was to engineer a highly wettable, Ca2+-releasing nanoporous polymer thread that promoted uniform in situ cross-linking and strong adhesion of a thin layer of alginate hydrogel around the thread. The device provided immunoprotection of rat islets in immunocompetent C57BL/6 mice in a short-term (1-mo) study, similar to neat alginate fibers. However, the mechanical property of the device, critical for handling and retrieval, was much more robust than the neat alginate fibers due to the reinforcement of the central thread. It also had facile mass transfer due to the short diffusion distance. We demonstrated the therapeutic potential of the device through the correction of chemically induced diabetes in C57BL/6 mice using rat islets for 3 mo as well as in immunodeficient SCID-Beige mice using human islets for 4 mo. We further showed, as a proof of concept, the scalability and retrievability in dogs. After 1 mo of implantation in dogs, the device could be rapidly retrieved through a minimally invasive laparoscopic procedure. This encapsulation device may contribute to a cellular therapy for T1D because of its retrievability and scale-up potential.
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6

CHERTOCK, ALINA, ALEXANDER KURGANOV, ANTHONY POLIZZI und ILYA TIMOFEYEV. „PEDESTRIAN FLOW MODELS WITH SLOWDOWN INTERACTIONS“. Mathematical Models and Methods in Applied Sciences 24, Nr. 02 (12.12.2013): 249–75. http://dx.doi.org/10.1142/s0218202513400083.

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In this paper, we introduce and study one-dimensional models for the behavior of pedestrians in a narrow street or corridor. We begin at the microscopic level by formulating a stochastic cellular automata model with explicit rules for pedestrians moving in two opposite directions. Coarse-grained mesoscopic and macroscopic analogs are derived leading to the coupled system of PDEs for the density of the pedestrian traffic. The obtained first-order system of conservation laws is only conditionally hyperbolic. We also derive higher-order nonlinear diffusive corrections resulting in a parabolic macroscopic PDE model. Numerical experiments comparing and contrasting the behavior of the microscopic stochastic model and the resulting coarse-grained PDEs for various parameter settings and initial conditions are performed. These numerical experiments demonstrate that the nonlinear diffusion is essential for reproducing the behavior of the stochastic system in the nonhyperbolic regime.
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Amrani Joutei, K., und Yves Glories. „Etude en conditions modèles de l'extractibillté des composés phénoliques des pellicules et des pépins de raisins rouges“. OENO One 28, Nr. 4 (31.12.1994): 303. http://dx.doi.org/10.20870/oeno-one.1994.28.4.1134.

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<p style="text-align: justify;">La cinétique de diffusion des composés phénoliques de la baie de raisin varie selon l'origine de ces pigments. Ceux des pellicules diffusent plus rapidement que ceux des pépins. En plus, au sein même des pellicules, les tanins diffusent plus lentement que les anthocyanes. Il apparaÎt, contrairement aux tanins, que la diffusion des anthocyanes en milieu aqueux ne varie pas au cours de la maturation. Ceci est dû à la nature des pigments et à leur localisation. Ainsi, la maturation du raisin est accompagnée par la diminution des teneurs en pectines pariétales des pellicules et par la fragilisation des parois cellulaires déterminée par des traitements aux ultra-sons. Un indice de maturité cellulaire et des indices de diffusion des pigments sont alors déterminés. Ces indices montrent que la diffusion des tanins est influencée par la fragilité des parois cellulaires alors que celle des anthocyanes est indépendante de cette fragilité. Les phénomènes de diffusion des composés phénoliques lors de la vinification sont alors mis en évidence.</p>
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8

Pouliot, Chantal. „Quand la recherche en éducation aux sciences se propose d’examiner le point de vue d’étudiants sur les rôles et capacités des acteurs sociaux concernés par les controverses sociotechniques“. Articles 44, Nr. 3 (08.06.2010): 435–50. http://dx.doi.org/10.7202/039948ar.

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Résumé Dans cet article, nous problématisons l’appropriation de controverses sociotechniques par le biais de l’utilisation d’outils théoriques développés dans le domaine des science & technology studies. Nous présentons d’abord les notions de représentation délégative et de traduction ainsi que trois modèles d’interactions des citoyens avec les scientifiques. Puis nous interprétons le point de vue d’étudiants de niveau collégial sur les capacités et rôles des citoyens concernés par la controverse autour de la téléphonie cellulaire de même que sur l’objet de la controverse, la constitution des collectifs de recherche et la diffusion des savoirs.
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9

Leier, Andre, und Tatiana T. Marquez-Lago. „Correction factors for boundary diffusion in reaction-diffusion master equations“. Journal of Chemical Physics 135, Nr. 13 (07.10.2011): 134109. http://dx.doi.org/10.1063/1.3634003.

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10

Rakow-Penner, Rebecca A., Nathan S. White, Daniel J. A. Margolis, John Kellogg Parsons, Natalie Schenker-Ahmed, Joshua M. Kuperman, Hauke Bartsch et al. „Prostate diffusion imaging with distortion correction“. Magnetic Resonance Imaging 33, Nr. 9 (November 2015): 1178–81. http://dx.doi.org/10.1016/j.mri.2015.07.006.

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11

Miura, Toshiaki, und Kazuhiko Seki. „Correction to “Diffusion Influenced Adsorption Kinetics”“. Journal of Physical Chemistry B 123, Nr. 1 (20.12.2018): 324. http://dx.doi.org/10.1021/acs.jpcb.8b11741.

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12

Zenk, John, Dominic Scalise, Kaiyuan Wang, Phillip Dorsey, Joshua Fern, Ariana Cruz und Rebecca Schulman. „Correction: Stable DNA-based reaction–diffusion patterns“. RSC Advances 7, Nr. 51 (2017): 31969. http://dx.doi.org/10.1039/c7ra90071f.

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13

Caldana, Ruggero, Gerald H. L. Cheang, Carl Chiarella und Gianluca Fusai. „Correction: Exchange Option under Jump-diffusion Dynamics“. Applied Mathematical Finance 22, Nr. 1 (02.09.2014): 99–103. http://dx.doi.org/10.1080/1350486x.2014.937564.

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14

Pizzolato, Marco, Guillaume Gilbert, Jean-Philippe Thiran, Maxime Descoteaux und Rachid Deriche. „Adaptive phase correction of diffusion-weighted images“. NeuroImage 206 (Februar 2020): 116274. http://dx.doi.org/10.1016/j.neuroimage.2019.116274.

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15

Herbst, M., B. A. Poser, A. Singh, W. Deng, B. Knowles, M. Zaitsev, V. A. Stenger und T. Ernst. „Motion correction for diffusion weighted SMS imaging“. Magnetic Resonance Imaging 38 (Mai 2017): 33–38. http://dx.doi.org/10.1016/j.mri.2016.12.013.

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16

Heinrichs, Wilhelm. „Defect correction for the advection-diffusion equation“. Computer Methods in Applied Mechanics and Engineering 119, Nr. 3-4 (Dezember 1994): 191–97. http://dx.doi.org/10.1016/0045-7825(94)90088-4.

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17

Miller, Karla L., und John M. Pauly. „Nonlinear phase correction for navigated diffusion imaging“. Magnetic Resonance in Medicine 50, Nr. 2 (17.07.2003): 343–53. http://dx.doi.org/10.1002/mrm.10531.

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18

Zeng, Yanni. „Convergence to a diffusive contact wave for solutions to a system of hyperbolic balance laws“. Journal of Hyperbolic Differential Equations 20, Nr. 01 (März 2023): 219–57. http://dx.doi.org/10.1142/s0219891623500078.

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We consider a [Formula: see text] system of hyperbolic balance laws that is the converted form under inverse Hopf–Cole transformation of a Keller–Segel type chemotaxis model. We study Cauchy problem when Cauchy data connect two different end-states as [Formula: see text]. The background wave is a diffusive contact wave of the reduced system. We establish global existence of solution and study the time asymptotic behavior. In the special case where the cellular population initially approaches its stable equilibrium value as [Formula: see text], we obtain nonlinear stability of the diffusive contact wave under smallness assumption. In the general case where the population initially does not approach to its stable equilibrium value at least at one of the far fields, we use a correction function in the time asymptotic ansatz, and show that the population approaches logistically to its stable equilibrium value. Our result shows two significant differences when comparing to Euler equations with damping. The first one is the existence of a secondary wave in the time asymptotic ansatz. This implies that our solutions converge to the diffusive contact wave slower than those of Euler equations with damping. The second one is that the correction function logistically grows rather than exponentially decays.
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Jeurissen, Ben, Alexander Leemans und Jan Sijbers. „Automated correction of improperly rotated diffusion gradient orientations in diffusion weighted MRI“. Medical Image Analysis 18, Nr. 7 (Oktober 2014): 953–62. http://dx.doi.org/10.1016/j.media.2014.05.012.

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20

Fannjiang, Albert C., und Tomasz Komorowski. „Correction: An Invariance Principle for Diffusion in Turbulence“. Annals of Probability 30, Nr. 1 (Januar 2002): 480–82. http://dx.doi.org/10.1214/aop/1020107777.

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Kessel, Markus, Roger A. De Souza und Manfred Martin. „Correction: Oxygen diffusion in single crystal barium titanate“. Physical Chemistry Chemical Physics 20, Nr. 46 (2018): 29568. http://dx.doi.org/10.1039/c8cp91913e.

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22

Somfai, Ellák, Robin C. Ball, Neill E. Bowler und Leonard M. Sander. „Correction to scaling analysis of diffusion-limited aggregation“. Physica A: Statistical Mechanics and its Applications 325, Nr. 1-2 (Juli 2003): 19–25. http://dx.doi.org/10.1016/s0378-4371(03)00178-x.

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23

Schilling, Kurt G., Justin Blaber, Yuankai Huo, Allen Newton, Colin Hansen, Vishwesh Nath, Andrea T. Shafer et al. „Synthesized b0 for diffusion distortion correction (Synb0-DisCo)“. Magnetic Resonance Imaging 64 (Dezember 2019): 62–70. http://dx.doi.org/10.1016/j.mri.2019.05.008.

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24

Cáceres, Manuel O. „Correction to: Finite-Velocity Diffusion in Random Media“. Journal of Statistical Physics 181, Nr. 3 (30.08.2020): 1087. http://dx.doi.org/10.1007/s10955-020-02616-x.

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Kang, Minchul, Emmanuele DiBenedetto und Anne K. Kenworthy. „Proposed Correction to Feder's Anomalous Diffusion FRAP Equations“. Biophysical Journal 100, Nr. 3 (Februar 2011): 791–92. http://dx.doi.org/10.1016/j.bpj.2010.11.091.

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Shoaee, Safa, und James R. Durrant. „Correction: Oxygen diffusion dynamics in organic semiconductor films“. Journal of Materials Chemistry C 6, Nr. 31 (2018): 8553–54. http://dx.doi.org/10.1039/c8tc90156b.

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Chang, Huining, und Wenling Li. „Correction-Based Diffusion LMS Algorithms for Distributed Estimation“. Circuits, Systems, and Signal Processing 39, Nr. 8 (10.02.2020): 4136–54. http://dx.doi.org/10.1007/s00034-020-01363-4.

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Tang, Cheng Yong, und Song Xi Chen. „Parameter estimation and bias correction for diffusion processes“. Journal of Econometrics 149, Nr. 1 (April 2009): 65–81. http://dx.doi.org/10.1016/j.jeconom.2008.11.001.

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Herbst, Michael, Benjamin Zahneisen, Benjamin Knowles, Maxim Zaitsev und Thomas Ernst. „Prospective motion correction of segmented diffusion weighted EPI“. Magnetic Resonance in Medicine 74, Nr. 6 (01.12.2014): 1675–81. http://dx.doi.org/10.1002/mrm.25547.

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Benner, Thomas, André J. W. van der Kouwe und A. Gregory Sorensen. „Diffusion imaging with prospective motion correction and reacquisition“. Magnetic Resonance in Medicine 66, Nr. 1 (24.02.2011): 154–67. http://dx.doi.org/10.1002/mrm.22837.

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Haque, Md Mozzammel. „Correction to: Diffusion coefficient in biomembrane critical pores“. Journal of Bioenergetics and Biomembranes 49, Nr. 6 (08.11.2017): 451. http://dx.doi.org/10.1007/s10863-017-9731-y.

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32

Pavlov, A. V., und N. M. Pavlova. „Diffusion correction and thermal diffusion factors of ions in the ionosphere and plasmasphere“. Advances in Space Research 47, Nr. 11 (Juni 2011): 1965–78. http://dx.doi.org/10.1016/j.asr.2011.01.033.

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33

Gaggl, W., und RW Prost. „Eddy Current Correction in Diffusion Tensor Imaging Using Phase-Correction in k-Space“. NeuroImage 47 (Juli 2009): S73. http://dx.doi.org/10.1016/s1053-8119(09)70463-x.

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Bao, Qiqi, Zheng Hui, Rui Zhu, Peiran Ren, Xuansong Xie und Wenming Yang. „Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction“. Proceedings of the AAAI Conference on Artificial Intelligence 38, Nr. 2 (24.03.2024): 756–64. http://dx.doi.org/10.1609/aaai.v38i2.27833.

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Generative diffusion prior captured from the off-the-shelf denoising diffusion generative model has recently attained significant interest. However, several attempts have been made to adopt diffusion models to noisy inverse problems either fail to achieve satisfactory results or require a few thousand iterations to achieve high-quality reconstructions. In this work, we propose a diffusion-based image restoration with error contraction and error correction (DiffECC) method. Two strategies are introduced to contract the restoration error in the posterior sampling process. First, we combine existing CNN-based approaches with diffusion models to ensure data consistency from the beginning. Second, to amplify the error contraction effects of the noise, a restart sampling algorithm is designed. In the error correction strategy, the estimation-correction idea is proposed on both the data term and the prior term. Solving them iteratively within the diffusion sampling framework leads to superior image generation results. Experimental results for image restoration tasks such as super-resolution (SR), Gaussian deblurring, and motion deblurring demonstrate that our approach can reconstruct high-quality images compared with state-of-the-art sampling-based diffusion models.
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Lui, Dorothy, Amen Modhafar, Jeffrey Glaister, Alexander Wong und Masoom A. Haider. „Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging“. IEEE Transactions on Biomedical Engineering 61, Nr. 2 (Februar 2014): 368–80. http://dx.doi.org/10.1109/tbme.2013.2279635.

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36

Galanti, Marta, Duccio Fanelli, Sergey D. Traytak und Francesco Piazza. „Correction: Theory of diffusion-influenced reactions in complex geometries“. Physical Chemistry Chemical Physics 18, Nr. 26 (2016): 17757. http://dx.doi.org/10.1039/c6cp90149b.

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Stoeck, Christian T., Aleksandra Kalinowska, Constantin von Deuster, Jack Harmer, Rachel W. Chan, Markus Niemann, Robert Manka et al. „Dual-Phase Cardiac Diffusion Tensor Imaging with Strain Correction“. PLoS ONE 9, Nr. 9 (05.09.2014): e107159. http://dx.doi.org/10.1371/journal.pone.0107159.

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38

Dia, El Hadj Aly, und Damien Lamberton. „Continuity Correction for Barrier Options in Jump-Diffusion Models“. SIAM Journal on Financial Mathematics 2, Nr. 1 (Januar 2011): 866–900. http://dx.doi.org/10.1137/100817553.

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39

Axelsson, O., und W. Layton. „Defect correction methods for convection dominated convection-diffusion problems“. ESAIM: Mathematical Modelling and Numerical Analysis 24, Nr. 4 (1990): 423–55. http://dx.doi.org/10.1051/m2an/1990240404231.

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Albano, Ezequiel V., und Verónica C. Chappa. „Finite-size correction for the diffusion front roughness exponent“. Physica A: Statistical Mechanics and its Applications 327, Nr. 1-2 (September 2003): 18–22. http://dx.doi.org/10.1016/s0378-4371(03)00431-x.

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41

Linge, Jens P., Michael Habeck, Wolfgang Rieping und Michael Nilges. „Correction of spin diffusion during iterative automated NOE assignment“. Journal of Magnetic Resonance 167, Nr. 2 (April 2004): 334–42. http://dx.doi.org/10.1016/j.jmr.2004.01.010.

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42

Hutter, Jana, Daan J. Christiaens, Torben Schneider, Lucilio Cordero-Grande, Paddy J. Slator, Maria Deprez, Anthony N. Price, J.-Donald Tournier, Mary Rutherford und Joseph V. Hajnal. „Slice-level diffusion encoding for motion and distortion correction“. Medical Image Analysis 48 (August 2018): 214–29. http://dx.doi.org/10.1016/j.media.2018.06.008.

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43

Bosak, E. „Navigator motion correction of diffusion weighted 3D SSFP imaging“. Magnetic Resonance Materials in Biology, Physics, and Medicine 12, Nr. 2-3 (Mai 2001): 167–76. http://dx.doi.org/10.1016/s1352-8661(01)00113-2.

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44

Gerencser, Akos A., Andy Neilson, Sung W. Choi, Ursula Edman, Nagendra Yadava, Richard J. Oh, David A. Ferrick, David G. Nicholls und Martin D. Brand. „Quantitative Microplate-Based Respirometry with Correction for Oxygen Diffusion“. Analytical Chemistry 81, Nr. 16 (15.08.2009): 6868–78. http://dx.doi.org/10.1021/ac900881z.

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45

Peng, Zhonglan, Hai Bi, Hao Li und Yidu Yang. „A Multilevel Correction Method for Convection-Diffusion Eigenvalue Problems“. Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/904347.

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We propose a multilevel correction method for the convection-diffusion eigenvalue problems which is suitable for not only simple but also multiple eigenvalues. And we prove that the accuracy of resulting eigenpair approximations can be improved after each correction step. The scheme is easy to realize with Matlab, and numerical results are satisfactory.
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46

Bosak, Elyakim, und Paul R. Harvey. „Navigator motion correction of diffusion weighted 3D SSFP imaging“. Magma: Magnetic Resonance Materials in Physics, Biology, and Medicine 12, Nr. 2-3 (Juni 2001): 167–76. http://dx.doi.org/10.1007/bf02668098.

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47

Atkinson, David, Serena Counsell, Joseph V. Hajnal, Philip G. Batchelor, Derek L. G. Hill und David J. Larkman. „Nonlinear phase correction of navigated multi-coil diffusion images“. Magnetic Resonance in Medicine 56, Nr. 5 (November 2006): 1135–39. http://dx.doi.org/10.1002/mrm.21046.

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48

Aksoy, Murat, Christoph Forman, Matus Straka, Stefan Skare, Samantha Holdsworth, Joachim Hornegger und Roland Bammer. „Real-time optical motion correction for diffusion tensor imaging“. Magnetic Resonance in Medicine 66, Nr. 2 (22.03.2011): 366–78. http://dx.doi.org/10.1002/mrm.22787.

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49

Tseng, Wen-Yih I., Timothy G. Reese, Robert M. Weisskoff und Van J. Wedeen. „Cardiac diffusion tensor MRI in vivo without strain correction“. Magnetic Resonance in Medicine 42, Nr. 2 (August 1999): 393–403. http://dx.doi.org/10.1002/(sici)1522-2594(199908)42:2<393::aid-mrm22>3.0.co;2-f.

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50

Corradi, Valentina. „Comovements Between Diffusion Processes“. Econometric Theory 13, Nr. 5 (Oktober 1997): 646–66. http://dx.doi.org/10.1017/s0266466600006113.

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The aim of this paper is to characterize and analyze long-run comovements among diffusion processes. Broadly speaking, if X = (X1,,X2,;t ≥ 0) is a nonergodic diffusion in R2, but there exists a linear combination, say, γ′X, that is instead ergodic in R, then we say there exists a linear stochastic comovement between the components of X. Linear diffusions exhibiting stochastic comovements admit an error correction representation. Estimation of γ and hypothesis testing, under different sampling schemes, are considered.
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