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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 許文翰(Wen-Hann Sheu),Marc Thiriet(Marc Thiriet) | |
dc.contributor.author | Yannick Deleuze | en |
dc.contributor.author | 亞霓 | zh_TW |
dc.date.accessioned | 2021-05-14T17:48:32Z | - |
dc.date.available | 2015-12-01 | |
dc.date.available | 2021-05-14T17:48:32Z | - |
dc.date.copyright | 2015-12-01 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-09-23 | |
dc.identifier.citation | [1] F. Hecht. New development in FreeFem++. Journal of Numerical Mathematics, 20(3-4):251, 2013. 23, 49, 82, 136
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4842 | - |
dc.description.abstract | The objective of this thesis is to comprehend the complexity of the underlying basis of acupuncture. Acupuncture needling is investigated in order to establish a multiscale model that takes into account the complexity of biology but is mathematically simple enough to run simulations.
Acupuncture is one of the oldest practices in the history of medicine and is the core of Traditional Chinese Medicine. Once needles are inserted in the right locations, called acupoints, they are manipulated via manual needling to stimulate the acupoint. The physiological reactions of acupuncture needling lead to therapeutic effects which can be explained by a series of interactions between the skin and the nervous, the endocrine, and the immune systems. In the present work, the thrusting and lifting of an acupuncture needle inserted in subcutaneous connective tissue is modeled. A porous media model is used to run simulations and compute the pressure and shear stress affecting the organization of fibers and of isolated cells in their matrix. A mathematical model was conceived to take into account cell signaling. There is ample evidence that needle manipulation in acupuncture can cause degranulation of mastocytes directly through a physical stress to occur. Activated mastocytes rapidly release granules containing chemical mediators. These chemical mediators play a key role recruiting mastocytes in their environment and are known to affect the excitability of nerve endings as well as local microcirculation permeability and size for the appropriate transfer of long-term acting endocrine signals. The process is sustained by the recruitment of mastocytes through chemotaxis. | en |
dc.description.provenance | Made available in DSpace on 2021-05-14T17:48:32Z (GMT). No. of bitstreams: 1 ntu-104-D01525014-1.pdf: 36096336 bytes, checksum: 9d72501e44fcf274ef3ab47213952085 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | Introduction 24
0.1 Acupuncture................................. 24 0.1.1 Historyofacupuncture....................... 25 0.1.2 Traditionaltheorybehindacupuncture . . . . . . . . . . . . . . . 26 0.2 Underlyingacupuncturemechanisms.................... 29 0.3 Contributionofthisthesis.......................... 31 1 Literature survey of acupuncture study 34 1.1 Introduction................................. 35 1.1.1 Subcutaneousconnectivetissue .................. 35 1.1.2 Mastocytes ............................. 36 1.2 Underlyingacupuncturemechanisms.................... 37 1.2.1 Stimulationofacupoints ...................... 37 1.2.2 Biochemicalsignalingatacupoints ................ 42 1.3 Modelinginacupuncture .......................... 44 1.3.1 Electroosmoticmeridianmodel .................. 44 1.3.2 Interstitialflowinacupuncture................... 45 1.3.3 Mastocytedynamicsofdegranulation . . . . . . . . . . . . . . . 46 1.4 Concludingremarks............................. 47 2 FreeFem++ 49 2.1 Introduction................................. 50 2.2 FreeFem++anditsinterpretedlanguage .................. 50 2.2.1 Thesyntax ............................. 50 2.2.2 Meshingtoolsandmeshexemples................. 51 2.2.3 Finiteelementmethod ....................... 60 2.3 SolvingproblemsinFreeFem++ ...................... 64 2.3.1 Evolutionproblem ......................... 64 2.3.2 Incompressible Navier-Stokes equation . . . . . . . . . . . . . . 66 2.3.3 Moving domain problem in computational fluid dynamics . . . . 69 2.4 Concludingremarks............................. 76 3 Modeling and simulation of local physical stress field during needling 77 3.1 Introduction................................. 79 3.2 Biologicalmedium ............................. 79 3.3 Mathematicalmodeling........................... 80 3.4 Computationalmodel............................ 81 3.4.1 Scaling and setting for numerical simulations . . . . . . . . . . . 81 3.4.2 Numericalmethods......................... 82 3.5 Resultsanddiscussion ........................... 84 3.5.1 Effectofneedlemotionontheinterstitialflow. . . . . . . . . . . 84 3.5.2 Effects of fractional fluid volume and Darcy number on the inter- stitialflow.............................. 85 3.5.3 Shear stress and pressure distributions along the cell membrane . 89 3.6 Concludingremarks............................. 92 4 Mastocyte response to acupuncture 95 4.1 Introduction................................. 97 4.2 Mathematical model of mastocyte response to acupuncture treatment . . . 99 4.3 Blow-up and existence conditions in the Keller-Segel system . . . . . . . 101 4.4 Blow-up condition in a simplified system with mass conservation . . . . . 105 4.5 Blow-up condition in the case of a sole state for mastocytes . . . . . . . . 109 4.6 Existence condition in the case of a sole state for mastocytes . . . . . . . 113 4.7 Scalingandnumericalmethod .......................114 4.7.1 Scaling ...............................114 4.7.2 Finiteelementmethod .......................115 4.8 Computationalmodel............................122 4.8.1 Acupoints..............................122 4.8.2 StressfunctionΦ..........................123 4.9 Numericalresults..............................125 4.10 Concluding remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 5 Chemotaxis–diffusion–convection coupling system 128 5.1 Introduction.................................129 5.2 Mathematicalmodel ............................132 5.3 Computationalmodel............................134 5.3.1 Scaling and setting for numerical simulations . . . . . . . . . . . 134 5.3.2 Numericalmethods.........................135 5.3.3 Code validation for the coupled Navier-Stokes and Keller-Segel equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 5.4 Numericalresultsanddiscussion......................137 5.4.1 Descendingplumes.........................137 5.4.2 Stabilizingeffectofchemotaxis ..................142 5.4.3 Distribution and number of plumes and initial conditions . . . . . 145 5.4.4 Comparison with other buoyancy-driven convections . . . . . . . 152 5.5 Concludingremarks.............................156 Conclusion and future work 157 Bibliography 158 | |
dc.language.iso | en | |
dc.title | Modeling and simulation of transport during acupuncture | zh_TW |
dc.type | Thesis | |
dc.date.schoolyear | 104-1 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | Olivier Pironneau(Olivier Pironneau),Bertrand Maury(Bertrand Maury),林昭庚(Jaung-Geng Lin),蔡武廷(Wu-Ting Tsai),朱業修(Yeh-Shiu Chu) | |
dc.subject.keyword | acupuncture,mastocyte,chemotaxis,fluid-structure interaction,fluid- fibrous porous medium interaction,chemotaxis-fluid model,numerical simulation,finite element method,FreeFem++, | zh_TW |
dc.relation.page | 170 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2015-09-24 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
顯示於系所單位: | 工程科學及海洋工程學系 |
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