Добірка наукової літератури з теми "3D dynamical fibre networks"
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Статті в журналах з теми "3D dynamical fibre networks":
Callegari, Francesca, Martina Brofiga, and Paolo Massobrio. "Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays." PLOS Computational Biology 19, no. 2 (February 13, 2023): e1010825. http://dx.doi.org/10.1371/journal.pcbi.1010825.
Hewavidana, Yasasween, Mehmet N. Balci, Andrew Gleadall, Behnam Pourdeyhimi, Vadim V. Silberschmidt, and Emrah Demirci. "Assessing Crimp of Fibres in Random Networks with 3D Imaging." Polymers 15, no. 4 (February 20, 2023): 1050. http://dx.doi.org/10.3390/polym15041050.
Marulier, C., P. J. J. Dumont, L. Orgéas, D. Caillerie, and S. Rolland du Roscoat. "Towards 3D analysis of pulp fibre networks at the fibre and bond levels." Nordic Pulp & Paper Research Journal 27, no. 2 (May 1, 2012): 245–55. http://dx.doi.org/10.3183/npprj-2012-27-02-p245-255.
Eekhoff, Jeremy D., and Spencer P. Lake. "Three-dimensional computation of fibre orientation, diameter and branching in segmented image stacks of fibrous networks." Journal of The Royal Society Interface 17, no. 169 (August 2020): 20200371. http://dx.doi.org/10.1098/rsif.2020.0371.
Golubyatnikov, V. P. "ON NON-UNIQUENESS OF CYCLES IN 3D MODELS OF CIRCULAR GENE NETWORKS." Челябинский физико-математический журнал 9, no. 1 (March 27, 2024): 23–34. http://dx.doi.org/10.47475/2500-0101-2024-9-1-23-34.
Wan, Wubo, Yu Li, Shiwei Bai, Xiaoyan Yang, Mingming Chi, Yaqin Shi, Changhua Liu, and Peng Zhang. "Three-Dimensional Porous ZnO-Supported Carbon Fiber Aerogel with Synergistic Effects of Adsorption and Photocatalysis for Organics Removal." Sustainability 15, no. 17 (August 30, 2023): 13088. http://dx.doi.org/10.3390/su151713088.
Ning, Guoqing, Yanming Cao, Chuanlei Qi, Xinlong Ma, and Xiao Zhu. "Elasticity-related periodical Li storage behavior delivered by porous graphene." Journal of Materials Chemistry A 5, no. 19 (2017): 9299–306. http://dx.doi.org/10.1039/c7ta01061c.
ARENA, PAOLO, MAIDE BUCOLO, STEFANO FAZZINO, LUIGI FORTUNA, and MATTIA FRASCA. "THE CNN PARADIGM: SHAPES AND COMPLEXITY." International Journal of Bifurcation and Chaos 15, no. 07 (July 2005): 2063–90. http://dx.doi.org/10.1142/s0218127405013307.
Pollet, Andreas M. A. O., Erik F. G. A. Homburg, Ruth Cardinaels, and Jaap M. J. den Toonder. "3D Sugar Printing of Networks Mimicking the Vasculature." Micromachines 11, no. 1 (December 30, 2019): 43. http://dx.doi.org/10.3390/mi11010043.
Lich, Julian, Tom Glosemeyer, Jürgen Czarske, and Robert Kuschmierz. "Single-shot 3D endoscopic imaging exploiting a diffuser and neural networks." EPJ Web of Conferences 266 (2022): 04005. http://dx.doi.org/10.1051/epjconf/202226604005.
Дисертації з теми "3D dynamical fibre networks":
Chassonnery, Pauline. "Modélisation mathématique en 3D de l'émergence de l'architecture des tissus conjonctifs." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30354.
In this thesis, we investigate whether simple local mechanical interactions between a reduced set of components could govern the emergence of the 3D architecture of biological tissues. To explore this hypothesis, we develop two mathematical models. The first one, ECMmorpho-3D, aims at reproducing a non-specialised connective tissue and is reduced to the Extra-Cellular Matrix (ECM) component, that is a 3D dynamically connected fibre network. The second, ATmorpho-3D, is built by adding to this network spherical cells which spontaneously appear and grow in order to mimic the morphogenesis of Adipose Tissue (AT), a specialised connective tissue with major biomedical importance. We then construct a unified analysis framework to visualise, segment and quantitatively characterise the fibrous and cellular structures produced by our two models. It constitutes a generic tool for the 3D visualisation of systems composed of a mixture of spherical (cells) and rod-like (fibres) elements and for the automatic detection of in such systems of clusters of spherical objects separated by rod-like elements. This tool is also applicable to biological 3D microscopy images, enabling a comparison between in vivo and in silico structures. We study the structures produced by the model ECMmorpho-3D by performing numerical simula- tions. We show that this model is able to spontaneously generate different types of architectures, which we identify and characterise using our analysis framework. An in-depth parametric analysis lead us to identify an intermediate emerging variable, the number of crosslinks per fibre, which explains and partly predicts the fate of the modelled system. A temporal analysis reveals that the characteristic time-scale of the organisation process is a function of the network remodelling speed, and that all systems follow the same, unique evolutionary pathway. Finally, we use the model ATmorpho-3D to explore the influence of round cells over the organisation of a fibre network, taking as reference the model ECMmorpho-3D. We show that the number of cells can influence the local alignment of the fibres but not the global organisation of the network. On the other hand, the cells inside the network spontaneously organise into clusters with realistic morphological features very close to those of in vivo structures, surrounded by sheet-like fibre bundles. Moreover, the distribution of the different morphological types of clusters is similar in in silico and in vivo systems, suggesting that the model is able to produce realistic morphologies not only on the scale of one cluster but also on the scale of the whole system, reproducing the structural variability observed in biological samples. A parametric analysis reveals that the proportion in which each morphology is present in an in silico system is governed mainly by the remodelling characteristic of the fibres, pointing to the essential role of the ECM properties in AT architecture and function (in agreement with several biological results and previous 2D findings). The fact that these very simple mathematical models can produce realistic structures supports our hypothesis that biological tissues architecture could emerge spontaneously from local mechanical inter- actions between the tissue components, independently of the complex biological phenomena taking place around them. This opens many perspectives regarding our understanding of the fundamental principles governing how biological tissue architecture emerges during organogenesis, is maintained throughout life and can be affected by various pathological conditions. Potential applications range from tissue engineering to therapeutic treatment inducing regeneration in adult mammals
Тези доповідей конференцій з теми "3D dynamical fibre networks":
Hossain, Shakhawath, Per Bergström, Sohan Sarangi, and Tetsu Uesaka. "Computational Design of Fibre Network by Discrete Element Method." In Advances in Pulp and Paper Research, Oxford 2017, edited by W. Batchelor and D. Söderberg. Fundamental Research Committee (FRC), Manchester, 2017. http://dx.doi.org/10.15376/frc.2017.2.651.
ZARYAB SHAHID,, ZARYAB SHAHID,, MOLLY SAYLOR OHNSON, COLEMAN GUSTAV BOND, JAMES HUBBARD, JR., NEGAR KALANTAR, and ANASTASIA MULIANA. "DYNAMIC RESPONSES OF ARCHITECTURAL KERF STRUCTURES." In Thirty-sixth Technical Conference. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/asc36/35747.
Spain, David R., Ivan Gil, Herb Sebastian, Phil S. Smith, Jeff Wampler, Stephan Cadwallader, and Mitchell Graff. "Geo-Engineered Completion Optimization: An Integrated, Multi-Disciplinary Approach to Improve Stimulation Efficiency in Unconventional Shale Reservoirs." In SPE Middle East Unconventional Resources Conference and Exhibition. SPE, 2015. http://dx.doi.org/10.2118/spe-172921-ms.
Qamar, Isabel P. S., and Richard S. Trask. "Development of Multi-Dimensional 3D Printed Vascular Networks for Self-Healing Materials." In ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/smasis2017-3829.
Tiwari, Pankaj Kumar, Zoann Low, Parimal Arjun Patil, Debasis Priyadarshan Das, Prasanna Chidambaram, and Raj Deo Tewari. "3D DAS-VSP Illumination Modeling for CO2 Plume Migration Monitoring in Offshore Sarawak, Malaysia." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207842-ms.
Niskanen, K. J., Niko Nilsen, Erkki Hellen, and Mikko Alava. "KCL-PAKKA: Simulation of the 3D Structure of Paper." In The Fundamentals of Papermaking Materials, edited by C. F. Baker. Fundamental Research Committee (FRC), Manchester, 1997. http://dx.doi.org/10.15376/frc.1997.2.1273.
Kalaimani, Iniyan, Julian Dietzsch, and Michael Gross. "Momentum conserving dynamic variational approach for the modeling of fiber-bending stiffness in fiber-reinforced composites." In VI ECCOMAS Young Investigators Conference. València: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/yic2021.2021.12367.
Heyden, Susanne, and Per Johan Gustafsson. "Stress-strain Performance of Paper and Fluff by Network Modelling." In The Science of Papermaking, edited by C. F. Baker. Fundamental Research Committee (FRC), Manchester, 2001. http://dx.doi.org/10.15376/frc.2001.2.1385.
Peñarroya, Pelayo, Pablo Hermosín, Simone Centuori, and Lars Hinüber. "ASTROSIM: A MINOR CELESTIAL BODY ENVIRONMENTS SIMULATION SUITE." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-052.