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Showing 13 to 16 of 16 entries
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A theoretical phase diagram for an active nematic on a spherical surface.

Soft matter

Brown AT.
PMID: 32391540
Soft Matter. 2020 May 21;16(19):4682-4691. doi: 10.1039/d0sm00166j.

Systems combining rod-shaped objects with self-generated motion such as suspensions of microtubules or growing bacterial colonies are commonly modeled as active nematics - nematic liquid crystals with an additional active stress term. Confining a 2D active nematic to the...

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Brown AT. A theoretical phase diagram for an active nematic on a spherical surface. Soft Matter. 2020;16(19):4682-4691doi: 10.1039/d0sm00166j.
Brown, A. T. (2020). A theoretical phase diagram for an active nematic on a spherical surface. Soft matter, 16(19), 4682-4691. https://doi.org/10.1039/d0sm00166j
Brown, Aidan T. "A theoretical phase diagram for an active nematic on a spherical surface." Soft matter vol. 16,19 (2020): 4682-4691. doi: https://doi.org/10.1039/d0sm00166j
Brown AT. A theoretical phase diagram for an active nematic on a spherical surface. Soft Matter. 2020 May 21;16(19):4682-4691. doi: 10.1039/d0sm00166j. PMID: 32391540.
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Hyperuniformity and density fluctuations at a rigidity transition in a model of biological tissues.

Soft matter

Zheng Y, Li YW, Ciamarra MP.
PMID: 32542303
Soft Matter. 2020 Jul 01;16(25):5942-5950. doi: 10.1039/d0sm00776e.

The suppression of density fluctuations at different length scales is the hallmark of hyperuniformity. Here, we explore the presence of this hidden order in a manybody interacting model of biological tissue, known to exhibit a transition, or sharp crossover,...

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Zheng Y, Li YW, Ciamarra MP. Hyperuniformity and density fluctuations at a rigidity transition in a model of biological tissues. Soft Matter. 2020;16(25):5942-5950doi: 10.1039/d0sm00776e.
Zheng, Y., Li, Y. W., & Ciamarra, M. P. (2020). Hyperuniformity and density fluctuations at a rigidity transition in a model of biological tissues. Soft matter, 16(25), 5942-5950. https://doi.org/10.1039/d0sm00776e
Zheng, Yuanjian, et al. "Hyperuniformity and density fluctuations at a rigidity transition in a model of biological tissues." Soft matter vol. 16,25 (2020): 5942-5950. doi: https://doi.org/10.1039/d0sm00776e
Zheng Y, Li YW, Ciamarra MP. Hyperuniformity and density fluctuations at a rigidity transition in a model of biological tissues. Soft Matter. 2020 Jul 01;16(25):5942-5950. doi: 10.1039/d0sm00776e. PMID: 32542303.
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Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography.

Sensors (Basel, Switzerland)

Ge W, Brooker G, Mogra R, Hyett J.
PMID: 35009856
Sensors (Basel). 2021 Dec 31;22(1). doi: 10.3390/s22010302.

The nonlinear mechanical behaviour of cervical tissue causes unpredictable changes in measured elastograms when pressure is applied. These uncontrolled variables prevent the reliable measurement of tissue elasticity in a clinical setting. Measuring the nonlinear properties of tissue is difficult...

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Ge W, Brooker G, Mogra R, et al. Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography. Sensors (Basel). 2021;22(1)doi: 10.3390/s22010302.
Ge, W., Brooker, G., Mogra, R., & Hyett, J. (2021). Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography. Sensors (Basel, Switzerland), 22(1), . https://doi.org/10.3390/s22010302
Ge, Weirong, et al. "Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography." Sensors (Basel, Switzerland) vol. 22,1 (2021). doi: https://doi.org/10.3390/s22010302
Ge W, Brooker G, Mogra R, Hyett J. Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography. Sensors (Basel). 2021 Dec 31;22(1). doi: 10.3390/s22010302. PMID: 35009856; PMCID: PMC8749884.
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Finite-element kalman filter with state constraint for dynamic soft tissue modelling.

Computers in biology and medicine

Xie H, Song J, Gao B, Zhong Y, Gu C, Choi KS.
PMID: 34182332
Comput Biol Med. 2021 Aug;135:104594. doi: 10.1016/j.compbiomed.2021.104594. Epub 2021 Jun 22.

This research work proposes a novel method for realistic and real-time modelling of deformable biological tissues by the combination of the traditional finite element method (FEM) with constrained Kalman filtering. This methodology transforms the problem of deformation modelling into...

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Xie H, Song J, Gao B, et al. Finite-element kalman filter with state constraint for dynamic soft tissue modelling. Comput Biol Med. 2021;135:104594doi: 10.1016/j.compbiomed.2021.104594.
Xie, H., Song, J., Gao, B., Zhong, Y., Gu, C., & Choi, K. S. (2021). Finite-element kalman filter with state constraint for dynamic soft tissue modelling. Computers in biology and medicine, 135104594. https://doi.org/10.1016/j.compbiomed.2021.104594
Xie, Hujin, et al. "Finite-element kalman filter with state constraint for dynamic soft tissue modelling." Computers in biology and medicine vol. 135 (2021): 104594. doi: https://doi.org/10.1016/j.compbiomed.2021.104594
Xie H, Song J, Gao B, Zhong Y, Gu C, Choi KS. Finite-element kalman filter with state constraint for dynamic soft tissue modelling. Comput Biol Med. 2021 Aug;135:104594. doi: 10.1016/j.compbiomed.2021.104594. Epub 2021 Jun 22. PMID: 34182332.
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Showing 13 to 16 of 16 entries