Numerical Simulation in Biomechanics and Biomedical Engineering-II
This reprint presents a collection of significant contributions to advancement of the application of the mathematical modeling to biomechanics and the biomedical engineering. This publication contains a particularly diverse set of contributions. For instance, Latif and co-authors review the specific...
Format: | eBook |
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Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TCB |2 bicssc | |
720 | 1 | |a Malvè, Mauro |4 edt | |
720 | 1 | |a Malvè, Mauro |4 oth | |
245 | 0 | 0 | |a Numerical Simulation in Biomechanics and Biomedical Engineering-II |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 online resource (248 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
520 | |a This reprint presents a collection of significant contributions to advancement of the application of the mathematical modeling to biomechanics and the biomedical engineering. This publication contains a particularly diverse set of contributions. For instance, Latif and co-authors review the specifications to model the upper airways before mandibular advancement surgery. Calvo-Gallego et al. propose local stress and strain tensors-derived variables as candidates for bone mechanical stimuli. Sohail et al. present a methodology for total knee arthroplasty. Latorre et al. propose the use of estimated strains to develop a methodology for plaque segmentation in arterial vessels. Lertxundi et al. simulate the blood flow and the microsphere transport during radioembolization for liver cancer treatment. Mañosas et al. combine tissue clarification, advanced microscopy and image analysis to develop a one-dimensional computational model of murine microvasculature hemodynamics. Talygin et al. obtain new quantitative parameters that characterize the normal and pathological aorta. Nježić et al. analyze the motion of nanoparticles in a ferrofluid environment. Hernández-López and co-workers study the parameter influence on lesion growth using a mechanobiological model of atherosclerosis. Jerbi et al present an adaptive learning tracking controller of a wearable robotic knee system. Gahima et al. introduce a novel formulation for a linear elastic model of a heterogeneous arterial section. Urdeitx et al. develop a novel hybrid 3D agent-based model to study multiple myeloma cell growth. Finally, Bayod et al. evaluate the stress generated by medializing calcaneal osteotomyin in hindfoot and forefoot bones. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Biotechnology |2 bicssc | |
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a 3D model | ||
653 | |a absolute maximum principal stress | ||
653 | |a adaptive control | ||
653 | |a arterial biomechanics | ||
653 | |a atherosclerosis | ||
653 | |a blood-brain barrier microvasculature | ||
653 | |a bone density distribution | ||
653 | |a bone remodelling | ||
653 | |a Brownian motion | ||
653 | |a carotid artery | ||
653 | |a CFD | ||
653 | |a chaotic model | ||
653 | |a computational fluid dynamics | ||
653 | |a correlation | ||
653 | |a cortical capillary network | ||
653 | |a dense discrete particle model | ||
653 | |a dosimetry | ||
653 | |a drug delivery | ||
653 | |a elastic bed boundary condition | ||
653 | |a exogenous power propulsion strategy | ||
653 | |a femoral coordinate system | ||
653 | |a ferrofluid | ||
653 | |a fibrous cap thickness | ||
653 | |a finite element model | ||
653 | |a finite elements | ||
653 | |a flatfoot | ||
653 | |a fluctuation of stresses | ||
653 | |a Hamilton-Jacobi Inequality | ||
653 | |a hemodynamics | ||
653 | |a imageless navigator | ||
653 | |a imaging technique | ||
653 | |a immersed boundary method | ||
653 | |a in silico | ||
653 | |a intravascular ultrasound | ||
653 | |a knee alignment device | ||
653 | |a L2 gain | ||
653 | |a level set | ||
653 | |a liver cancer | ||
653 | |a mandibular advancement | ||
653 | |a mechanical stimulus | ||
653 | |a mechanobiological model | ||
653 | |a microvascular hemodynamics | ||
653 | |a modified Whiteside's line | ||
653 | |a multiple myeloma | ||
653 | |a navier-stokes equations | ||
653 | |a numerical model | ||
653 | |a OSA | ||
653 | |a osteotomy | ||
653 | |a parameter analysis | ||
653 | |a patient-specific | ||
653 | |a pes planus | ||
653 | |a potential swirling flow | ||
653 | |a radial basis function neural network | ||
653 | |a repeatable transepicondylar axis | ||
653 | |a robin boundary condition | ||
653 | |a robust control | ||
653 | |a segmentation method | ||
653 | |a sleep apnea | ||
653 | |a strain energy density | ||
653 | |a strain gradient | ||
653 | |a stress redistribution | ||
653 | |a targeted drug delivery | ||
653 | |a tissue clarification | ||
653 | |a tornado-like jets | ||
653 | |a total knee arthroplasty | ||
653 | |a tracking controller | ||
653 | |a treatment planning | ||
653 | |a tumor aggregate | ||
653 | |a tumor targeting | ||
653 | |a unfitted method | ||
653 | |a unsteady swirling flow | ||
653 | |a wearable robotic knee | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/112458 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/7571 |7 0 |z Open Access: DOAB, download the publication |