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Artykuły w czasopismach na temat „Correction de la diffusion cellulaire”

Autor: Grafiati

Data publikacji: 27 lipca 2024

Data aktualizacji: 31 lipca 2025

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1

Johnson, P., JK Chan, IM Vavasour, et al. "Quantitative MRI findings indicate diffuse white matter damage in Susac Syndrome." Multiple Sclerosis Journal - Experimental, Translational and Clinical 8, no. 1 (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

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2

Furler, S. M., A. B. Jenkins, and E. W. Kraegen. "Effect of insulin on [3H]deoxy-D-glucose pharmacokinetics in the rat." American Journal of Physiology-Endocrinology and Metabolism 255, no. 6 (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 empirical

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3

Minko, T., A. Stefanov та V. Pozharov. "Selected Contribution: Lung hypoxia: antioxidant and antiapoptotic effects of liposomal α-tocopherol". Journal of Applied Physiology 93, № 4 (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

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4

Bussolati, O., P. C. Laris, F. A. Nucci, et al. "Dependence of L-arginine accumulation on membrane potential in cultured human fibroblasts." American Journal of Physiology-Cell Physiology 253, no. 3 (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

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5

An, Duo, Alan Chiu, James A. Flanders, 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, no. 2 (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 stron

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6

Amrani Joutei, K., and Yves Glories. "Etude en conditions modèles de l'extractibillté des composés phénoliques des pellicules et des pépins de raisins rouges." OENO One 28, no. 4 (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

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7

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, no. 3 (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

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8

Leier, Andre, and Tatiana T. Marquez-Lago. "Correction factors for boundary diffusion in reaction-diffusion master equations." Journal of Chemical Physics 135, no. 13 (2011): 134109. http://dx.doi.org/10.1063/1.3634003.

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9

Rakow-Penner, Rebecca A., Nathan S. White, Daniel J. A. Margolis, et al. "Prostate diffusion imaging with distortion correction." Magnetic Resonance Imaging 33, no. 9 (2015): 1178–81. http://dx.doi.org/10.1016/j.mri.2015.07.006.

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10

Miura, Toshiaki, and Kazuhiko Seki. "Correction to “Diffusion Influenced Adsorption Kinetics”." Journal of Physical Chemistry B 123, no. 1 (2018): 324. http://dx.doi.org/10.1021/acs.jpcb.8b11741.

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11

Zenk, John, Dominic Scalise, Kaiyuan Wang, et al. "Correction: Stable DNA-based reaction–diffusion patterns." RSC Advances 7, no. 51 (2017): 31969. http://dx.doi.org/10.1039/c7ra90071f.

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12

Caldana, Ruggero, Gerald H. L. Cheang, Carl Chiarella, and Gianluca Fusai. "Correction: Exchange Option under Jump-diffusion Dynamics." Applied Mathematical Finance 22, no. 1 (2014): 99–103. http://dx.doi.org/10.1080/1350486x.2014.937564.

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13

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

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14

Herbst, M., B. A. Poser, A. Singh, et al. "Motion correction for diffusion weighted SMS imaging." Magnetic Resonance Imaging 38 (May 2017): 33–38. http://dx.doi.org/10.1016/j.mri.2016.12.013.

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15

Heinrichs, Wilhelm. "Defect correction for the advection-diffusion equation." Computer Methods in Applied Mechanics and Engineering 119, no. 3-4 (1994): 191–97. http://dx.doi.org/10.1016/0045-7825(94)90088-4.

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16

Miller, Karla L., and John M. Pauly. "Nonlinear phase correction for navigated diffusion imaging." Magnetic Resonance in Medicine 50, no. 2 (2003): 343–53. http://dx.doi.org/10.1002/mrm.10531.

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17

Jeurissen, Ben, Alexander Leemans, and Jan Sijbers. "Automated correction of improperly rotated diffusion gradient orientations in diffusion weighted MRI." Medical Image Analysis 18, no. 7 (2014): 953–62. http://dx.doi.org/10.1016/j.media.2014.05.012.

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18

Bao, Qiqi, Zheng Hui, Rui Zhu, Peiran Ren, Xuansong Xie, and Wenming Yang. "Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (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 exist

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19

Fannjiang, Albert C., and Tomasz Komorowski. "Correction: An Invariance Principle for Diffusion in Turbulence." Annals of Probability 30, no. 1 (2002): 480–82. http://dx.doi.org/10.1214/aop/1020107777.

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20

Kessel, Markus, Roger A. De Souza, and Manfred Martin. "Correction: Oxygen diffusion in single crystal barium titanate." Physical Chemistry Chemical Physics 20, no. 46 (2018): 29568. http://dx.doi.org/10.1039/c8cp91913e.

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21

Somfai, Ellák, Robin C. Ball, Neill E. Bowler, and Leonard M. Sander. "Correction to scaling analysis of diffusion-limited aggregation." Physica A: Statistical Mechanics and its Applications 325, no. 1-2 (2003): 19–25. http://dx.doi.org/10.1016/s0378-4371(03)00178-x.

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22

Schilling, Kurt G., Justin Blaber, Yuankai Huo, et al. "Synthesized b0 for diffusion distortion correction (Synb0-DisCo)." Magnetic Resonance Imaging 64 (December 2019): 62–70. http://dx.doi.org/10.1016/j.mri.2019.05.008.

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23

Cáceres, Manuel O. "Correction to: Finite-Velocity Diffusion in Random Media." Journal of Statistical Physics 181, no. 3 (2020): 1087. http://dx.doi.org/10.1007/s10955-020-02616-x.

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24

Kang, Minchul, Emmanuele DiBenedetto, and Anne K. Kenworthy. "Proposed Correction to Feder's Anomalous Diffusion FRAP Equations." Biophysical Journal 100, no. 3 (2011): 791–92. http://dx.doi.org/10.1016/j.bpj.2010.11.091.

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25

Shoaee, Safa, and James R. Durrant. "Correction: Oxygen diffusion dynamics in organic semiconductor films." Journal of Materials Chemistry C 6, no. 31 (2018): 8553–54. http://dx.doi.org/10.1039/c8tc90156b.

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26

Chang, Huining, and Wenling Li. "Correction-Based Diffusion LMS Algorithms for Distributed Estimation." Circuits, Systems, and Signal Processing 39, no. 8 (2020): 4136–54. http://dx.doi.org/10.1007/s00034-020-01363-4.

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27

Tang, Cheng Yong, and Song Xi Chen. "Parameter estimation and bias correction for diffusion processes." Journal of Econometrics 149, no. 1 (2009): 65–81. http://dx.doi.org/10.1016/j.jeconom.2008.11.001.

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28

Herbst, Michael, Benjamin Zahneisen, Benjamin Knowles, Maxim Zaitsev, and Thomas Ernst. "Prospective motion correction of segmented diffusion weighted EPI." Magnetic Resonance in Medicine 74, no. 6 (2014): 1675–81. http://dx.doi.org/10.1002/mrm.25547.

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29

Benner, Thomas, André J. W. van der Kouwe, and A. Gregory Sorensen. "Diffusion imaging with prospective motion correction and reacquisition." Magnetic Resonance in Medicine 66, no. 1 (2011): 154–67. http://dx.doi.org/10.1002/mrm.22837.

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30

Haque, Md Mozzammel. "Correction to: Diffusion coefficient in biomembrane critical pores." Journal of Bioenergetics and Biomembranes 49, no. 6 (2017): 451. http://dx.doi.org/10.1007/s10863-017-9731-y.

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31

Pavlov, A. V., and N. M. Pavlova. "Diffusion correction and thermal diffusion factors of ions in the ionosphere and plasmasphere." Advances in Space Research 47, no. 11 (2011): 1965–78. http://dx.doi.org/10.1016/j.asr.2011.01.033.

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32

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

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33

Peng, Zhonglan, Hai Bi, Hao Li, and 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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34

Zhu, Pengli, Chaoqiang Liu, Yingji Fu, Nanguang Chen, and Anqi Qiu. "Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data." Medical Image Analysis 103 (July 2025): 103579. https://doi.org/10.1016/j.media.2025.103579.

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35

Corradi, Valentina. "Comovements Between Diffusion Processes." Econometric Theory 13, no. 5 (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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36

van den Brink, Johan S., and Jos J. Koonen. "Inherent Geometry Correction for Diffusion EPI Using the Reference Echoes as Navigators." Concepts in Magnetic Resonance Part B 2019 (May 26, 2019): 1–8. http://dx.doi.org/10.1155/2019/4139726.

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Diffusion-weighted EPI has become an indispensable tool in body MRI. Geometric distortions due to field inhomogeneities are more prominent at large field–of–view and require correction for comparison with T2W TSE. Several known correction methods require acquisition of additional lengthy scans, which are difficult to apply in body imaging. We implement and evaluate a geometry correction method based on the already available non phase-encoded EPI reference data used for Nyquist ghost removal. The method is shown to provide accurate and robust global geometry correction in the absence of strong,

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37

Lui, Dorothy, Amen Modhafar, Jeffrey Glaister, Alexander Wong, and Masoom A. Haider. "Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging." IEEE Transactions on Biomedical Engineering 61, no. 2 (2014): 368–80. http://dx.doi.org/10.1109/tbme.2013.2279635.

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38

Galanti, Marta, Duccio Fanelli, Sergey D. Traytak, and Francesco Piazza. "Correction: Theory of diffusion-influenced reactions in complex geometries." Physical Chemistry Chemical Physics 18, no. 26 (2016): 17757. http://dx.doi.org/10.1039/c6cp90149b.

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39

Stoeck, Christian T., Aleksandra Kalinowska, Constantin von Deuster, et al. "Dual-Phase Cardiac Diffusion Tensor Imaging with Strain Correction." PLoS ONE 9, no. 9 (2014): e107159. http://dx.doi.org/10.1371/journal.pone.0107159.

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40

Dia, El Hadj Aly, and Damien Lamberton. "Continuity Correction for Barrier Options in Jump-Diffusion Models." SIAM Journal on Financial Mathematics 2, no. 1 (2011): 866–900. http://dx.doi.org/10.1137/100817553.

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41

Xia, Juntao, Mingxuan Yan, Xinqi Yang, Xiaojun Zhang, and Zhi Tao. "CMC-diffusion:Curve matching correction diffusion model for LDCT denoising." Biomedical Signal Processing and Control 103 (May 2025): 107333. https://doi.org/10.1016/j.bspc.2024.107333.

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42

Axelsson, O., and W. Layton. "Defect correction methods for convection dominated convection-diffusion problems." ESAIM: Mathematical Modelling and Numerical Analysis 24, no. 4 (1990): 423–55. http://dx.doi.org/10.1051/m2an/1990240404231.

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43

Albano, Ezequiel V., and Verónica C. Chappa. "Finite-size correction for the diffusion front roughness exponent." Physica A: Statistical Mechanics and its Applications 327, no. 1-2 (2003): 18–22. http://dx.doi.org/10.1016/s0378-4371(03)00431-x.

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44

Linge, Jens P., Michael Habeck, Wolfgang Rieping, and Michael Nilges. "Correction of spin diffusion during iterative automated NOE assignment." Journal of Magnetic Resonance 167, no. 2 (2004): 334–42. http://dx.doi.org/10.1016/j.jmr.2004.01.010.

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45

Hutter, Jana, Daan J. Christiaens, Torben Schneider, et al. "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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46

Bosak, E. "Navigator motion correction of diffusion weighted 3D SSFP imaging." Magnetic Resonance Materials in Biology, Physics, and Medicine 12, no. 2-3 (2001): 167–76. http://dx.doi.org/10.1016/s1352-8661(01)00113-2.

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47

Gerencser, Akos A., Andy Neilson, Sung W. Choi, et al. "Quantitative Microplate-Based Respirometry with Correction for Oxygen Diffusion." Analytical Chemistry 81, no. 16 (2009): 6868–78. http://dx.doi.org/10.1021/ac900881z.

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48

Elman, Jeremy A., Olivia K. Puckett, Donald J. Hagler, et al. "Associations Between MRI-Assessed Locus Coeruleus Integrity and Cortical Gray Matter Microstructure." Cerebral Cortex, December 31, 2021. http://dx.doi.org/10.1093/cercor/bhab475.

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Abstract The locus coeruleus (LC) is one of the earliest sites of tau pathology, making it a key structure in early Alzheimer’s disease (AD) progression. As the primary source of norepinephrine for the brain, reduced LC integrity may have negative consequences for brain health, yet macrostructural brain measures (e.g. cortical thickness) may not be sensitive to early stages of neurodegeneration. We therefore examined whether LC integrity was associated with differences in cortical gray matter microstructure among 435 men (mean age = 67.5; range = 62–71.7). LC structural integrity was indexed b

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49

Guerrero-Gonzalez, Jose, Olivia Surgent, Nagesh Adluru, et al. "Improving Imaging of the Brainstem and Cerebellum in Autistic Children: Transformation-Based High-Resolution Diffusion MRI (TiDi-Fused) in the Human Brainstem." Frontiers in Integrative Neuroscience 16 (March 3, 2022). http://dx.doi.org/10.3389/fnint.2022.804743.

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Diffusion-weighted magnetic resonance imaging (dMRI) of the brainstem is technically challenging, especially in young autistic children as nearby tissue-air interfaces and motion (voluntary and physiological) can lead to artifacts. This limits the availability of high-resolution images, which are desirable for improving the ability to study brainstem structures. Furthermore, inherently low signal-to-noise ratios, geometric distortions, and sensitivity to motion not related to molecular diffusion have resulted in limited techniques for high-resolution data acquisition compared to other modaliti

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50

Seitz-Holland, Johanna, Monica Lyons, Leila Kushan, et al. "Opposing white matter microstructure abnormalities in 22q11.2 deletion and duplication carriers." Translational Psychiatry 11, no. 1 (2021). http://dx.doi.org/10.1038/s41398-021-01703-1.

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AbstractDeletions and duplications at the 22q11.2 locus are associated with significant neurodevelopmental and psychiatric morbidity. Previous diffusion-weighted magnetic resonance imaging (MRI) studies in 22q11.2 deletion carriers (22q-del) found nonspecific white matter (WM) abnormalities, characterized by higher fractional anisotropy. Here, utilizing novel imaging and processing methods that allow separation of signal contribution from different tissue properties, we investigate whether higher anisotropy is driven by (1) extracellular changes, (2) selective degeneration of secondary fibers,

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