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Dissertations / Theses on the topic 'Modeling growth of livers'

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Published: 4 June 2025
Last updated: 1 August 2025

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1

Scott, Stuart Lindsey. "Modeling slug growth in pipelines /." Access abstract and link to full text, 1987. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/8800195.

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2

Shaffer, Lauren A. "Effect of dietary fatty acids on the activity of phospholipase C in tumors and livers of strain A/ST mice." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/834508.

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Phospholipase C mediated hydrolysis of the phosphoinositides yields second messenger products which have been linked to normal and abnormal cell growth processes. It has been suggested that fatty acids may regulate phospholipase C activity in vivo. This study sought to investigate relationships between phospholipase C activity, tumor size and dietary linoleic and stearic acids.Phospholipase C activity, of livers and serially transplanted mammary adenocarcinomas from female strain A/ST mice on one of three diets, was measured. Tumors ranged from .20 to 2.98 g at the time of removal. Phospholipa
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3

Konukoğlu, Ender. "Modeling glioma growth and personalizing growth models in medical images." Nice, 2009. http://www.theses.fr/2009NICE4000.

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Les modèles mathématiques et plus spécifiquement les modèles basés sur l’équation de réaction-diffusion ont été utilisés largement dans la littérature pour modéliser la croissance des gliomes cérébraux et des tumeurs en général. De plus la grande littérature de recherche qui concentre sur les expériences biologiques et microscopiques, récemment les modèles ont commencé intégrer l’imagerie médicale dans ses formulations. Incluant la géométrie du cerveau et celle de la tumeur, les structures des différentes tissues et la direction de diffusion, ils ont montré qu’il est possible de simuler la cro
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4

Verma, Dhirendra. "Stochastic modeling of fatigue crack growth." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054565393.

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5

Mascheroni, Pietro. "Mathematical modeling of avascular tumor growth." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3425310.

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Cancer is an extremely complex disease, both in terms of its causes and consequences to the body. Cancer cells acquire the ability to proliferate without control, invade the surrounding tissues and eventually form metastases. It is becoming increasingly clear that a description of tumors that is uniquely based on molecular biology is not enough to understand thoroughly this illness. Quantitative sciences, such as physics, mathematics and engineering, can provide a valuable contribution to this field, suggesting new ways to examine the growth of the tumor and to investigate its interaction with
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6

Wallin, Erik. "Alumina Thin Film Growth: Experiments and Modeling." Licentiate thesis, Linköping University, Linköping University, Plasma and Coating Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8461.

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<p>The work presented in this thesis deals with experimental and theoretical studies related to the growth of crystalline alumina thin films. Alumina, Al<sub>2</sub>O<sub>3</sub>, is a polymorphic material utilized in a variety of applications, e.g., in the form of thin films. Many of the possibilities of alumina, and the problems associated with thin film synthesis of the material, are due to the existence of a range of different crystalline phases. Controlling the formation of the desired phase and the transformations between the polymorphs is often difficult.</p><p>In the experimental part
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7

Kim, Yun-Jae. "Modeling fully plastic, plane strain crack growth." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12223.

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8

Nordquist, Andrew L. "Image-based tissue growth modeling and prediction." Thesis, The University of Texas at San Antonio, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1550349.

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<p> The goal of this research is to study tissue growth via developing mathematical formulations and computational modeling. Tissue growth modeling has many applications --- including tumor growth, wound healing, bone remodeling, epithelial tissue remodeling, and other problems in developmental biology. Key to this study is incorporating the results of the analysis of non-destructive medical images that augment the models. Quantitative image analysis for the purpose of providing input parameters for and validation of tumor growth models (TGMs) is discussed. Two types of computational TGMs are
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9

Burraston, Bert Owen. "The career criminal debate : comparing finite mixture modeling with growth mixture modeling /." view abstract or download file of text, 2003. http://wwwlib.umi.com/cr/uoregon/fullcit?p3095238.

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Thesis (Ph. D.)--University of Oregon, 2003.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 95-103). Also available for download via the World Wide Web; free to University of Oregon users.
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10

Chapman, Sara Bernice. "Student Growth Trajectories with Summer Achievement Loss Using Hierarchical and Growth Modeling." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5970.

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Using measures of student growth has become more popular in recent years—especially in the context of high stakes testing and accountability. While these methods have advantages over historical status measures, there is still much evidence to be gathered on patterns of growth generally and in student subgroups. To date, most research studies dealing with student growth focus on the effectiveness of specific interventions or examine growth in a few urban areas. This project explored math, reading, and English language arts (ELA) growth in the students of two rural school districts in Utah. The
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11

Powers, Max L. (Max Lyle). "Modeling tin sulfide grain growth during post-processing." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89978.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2014.<br>Cataloged from PDF version of thesis. "June 2014."<br>Includes bibliographical references (pages 32-33).<br>Tin sulfide (SnS) is a semiconductor material with both an indirect and direct bandgap at 1.1 eV and 1.3 eV respectively. Due to the availability of tin and sulfur, SnS is seen as a feasible alternative to the thin film CIGS and CdTe solar cells. With a direct bandgap of 1.1 eV and the ability to be produced as a thin film, the SnS solar cell should achieve high levels of effici
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12

Avila, Olga B. "Modeling growth dynamics of juvenile loblolly pine plantations." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/39476.

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Modeling growth dynamics of juvenile loblolly pine plantations can help to address important management decisions that have to be made in young stands. The present study addressed diameter and height prediction as well as crown development analysis as functions of independent variables such as site index, relative spacing and age for trees younger than ten years old. It was found that height prediction for trees one and two years old was a function of the products of the variables site index and age (or square root of age) and relative spacing and age (or square root of age). For trees three y
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13

Cooper, Michele. "Mathematical Modeling of Vascular Tumor Growth and Development." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/42656.

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Mathematical modeling of cancer is of significant interest due to its potential to aid in our understanding of the disease, including investigation into which factors are most important in the progression of cancer. With this knowledge and model different paths of treatment can be examined; (e.g. simulation of different treatment techniques followed by the more costly venture of testing on animal models). Significant work has been done in the field of cancer modeling with models ranging from the more broad systems, avascular tumor models, to smaller systems, models of angiogenic pathways. A pr
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14

Vompe, Dmitry A. "Numerical modeling of crystal growth in bridgman device /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487947501136706.

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15

Mozaffari, Saeed. "Modeling the Nucleation and Growth of Colloidal Nanoparticles." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/104448.

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Controlling the size and size distribution of colloidal nanoparticles have gained extraordinary attention as their physical and chemical properties are strongly affected by size. Ligands are widely used to control the size and size distribution of nanoparticles; however, their exact roles in controlling the nanoparticle size distribution and the way they affect the nucleation and growth kinetics are poorly understood. Therefore, understanding the nucleation and growth mechanisms and developing theoretical/modeling framework will pave the way towards controlled synthesis of colloidal nanopartic
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16

Avila, Olga. "Modeling growth dynamics of juvenile loblolly pine plantations /." This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10022007-144523/.

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17

Bracho, Belkys Yasmin. "Application of statistical techniques to modeling crop growth." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010109.

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18

Ni, Xinyu. "What Influences School District Effectiveness Growth Trajectories? A Growth Mixture Modeling (GMM) Analysis." Thesis, Teachers College, Columbia University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13805575.

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<p> As a local education agency, school districts play an important role in providing instructional support for teachers and school leaders, making instructional goals, and allocating financial and human capital resources in a rational way to promote overall students&rsquo; learning outcomes. Studies on school districts that look to find reasons or characteristics related to school district success are known as <i>district effectiveness research </i> (DER). Previous quantitative research in DER using longitudinal dataset has assumed that all school district effectiveness (SDE) changes in a com
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19

Mayawala, Kapil. "Spatiotemporal modeling of epidermal growth factor receptor signaling pathway." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.14 Mb., 263 p, 2006. http://wwwlib.umi.com/dissertations/fullcit/3220795.

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20

Egeh, Mohamud H. "Modeling corn growth, development and yield under Québec conditions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0028/MQ50761.pdf.

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21

Egeh, Mohamud H. "Modeling corn growth, development and yield under Québec conditions." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21546.

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The use of crop growth simulation models such asthose incorporated into Decision Support Systems for Agrotechnology Transfer (DSSAT) are useful tools for assessing the impacts of various management practices on crop productivity. The maize growth model of DSSAT is CERES-maize. To evaluate its predictive capability under western Quebec conditions, data on corn (Zea mays L.) yield and above-ground biomass were collected from a field-scale water table management experiment conducted during the 1996 and 1997 growing seasons at St. Emmanuel, Soulanges County, Quebec. The model was calibrated using
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22

Oliveros, Patiño German Andrés. "Modeling and Stability of the Horizontal Ribbon Growth Process." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/412.

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This thesis contains a theoretical analysis of the Horizontal Ribbon Growth (HRG) process for growing silicon wafers. In the HRG process, a thin silicon ribbon is crystallized and extracted continuously from the melt, using the fact that silicon oats on its melt just like ice oats on top of water. In our work, we assess two technical issues reported in previous experimental studies: meniscus stability and interface stability. The first law of thermodynamics along with the tools of variational calculus are used to find the existence and stability conditions of the meniscus formed between the si
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23

Hennessey, Conor Daniel. "Modeling microstructurally small crack growth in Al 7075-T6." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53947.

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Fatigue of metals is a problem that affects almost all sectors of industry, from energy to transportation, and failures to account for fatigue or incorrect estimations of service life have cost many lives. To mitigate such fatigue failures, engineers must be able to reliably predict the fatigue life of components under service conditions. Great progress has been made in this regard in the past 40 years; however one aspect of fatigue that is still being actively researched is the behavior of microstructurally small cracks (MSCs), which can diverge significantly from that of long cracks. The por
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24

Fathi, Aghdam Faranak. "Nanowire Growth Process Modeling and Reliability Models for Nanodevices." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612823.

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Nowadays, nanotechnology is becoming an inescapable part of everyday life. The big barrier in front of its rapid growth is our incapability of producing nanoscale materials in a reliable and cost-effective way. In fact, the current yield of nano-devices is very low (around 10 %), which makes fabrications of nano-devices very expensive and uncertain. To overcome this challenge, the first and most important step is to investigate how to control nano-structure synthesis variations. The main directions of reliability research in nanotechnology can be classified either from a material perspective o
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25

Grames, Johanna, Alexia Prskawetz, Dieter Grass, Alberto Viglione, and Günter Blöschl. "Modeling the interaction between flooding events and economic growth." Elsevier, 2016. http://dx.doi.org/10.1016/j.ecolecon.2016.06.014.

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Recently socio-hydrology models have been proposed to analyze the interplay of community risk-coping culture, flooding damage and economic growth. These models descriptively explain the feedbacks between socio-economic development and natural disasters such as floods. Complementary to these descriptive models, we develop a dynamic optimization model, where the inter-temporal decision of an economic agent interacts with the hydrological system. We assume a standard macro-economic growth model where agents derive utility from consumption and output depends on physical capital that can be ac
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26

Resende, Anna Claudia Mello de. "Sensitivity analysis as a tool for tumor growth modeling." Laboratório Nacional de Computação Científica, 2016. https://tede.lncc.br/handle/tede/237.

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Submitted by Maria Cristina (library@lncc.br) on 2016-11-10T17:47:04Z No. of bitstreams: 1 thesis_anna.pdf: 24876563 bytes, checksum: 86903225a1b681abf9ea16d871b3381a (MD5)<br>Approved for entry into archive by Maria Cristina (library@lncc.br) on 2016-11-10T17:47:15Z (GMT) No. of bitstreams: 1 thesis_anna.pdf: 24876563 bytes, checksum: 86903225a1b681abf9ea16d871b3381a (MD5)<br>Made available in DSpace on 2016-11-10T17:47:25Z (GMT). No. of bitstreams: 1 thesis_anna.pdf: 24876563 bytes, checksum: 86903225a1b681abf9ea16d871b3381a (MD5) Previous issue date: 2016-04-13<br>Conselho Nacional d
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27

Shojaee, Ali B. S. "Bacteria Growth Modeling using Long-Short-Term-Memory Networks." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617105038908441.

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28

Ko, Kwangman. "Nonresident Fathers’ Care-Provision Trajectory: Growth Mixture Modeling Approach." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/secfr-conf/2020/schedule/6.

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The current study identified subgroups of individuals regarding nonresident fathers’ childcare provision by taking the growth mixture modeling approach (GMM) and Fragile Families and Child Wellbeing Study (FFCWS; wave 1 to wave 5). The three-profile model was the most fitted model, where Profile 1 (n = 548, 68.7%) showed the lowest childcare across waves, and Profile 3 (n = 106, 13.3%) was the most involved group, and the Profile 2 (n = 144, 18.0%) showed moderate levels of care provision (see Figure 1). Follow-up analysis revealed that the profiles significantly differed on child gender and t
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29

Shell, John. "Modeling and synthesizing growth hormone as a biological mechanism /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1559856431&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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30

Houser, Jerrod Erle. "Modeling the steady-state growth of porous anodic alumina." [Ames, Iowa : Iowa State University], 2008.

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31

Swanson, Kristin Rae. "Mathematical modeling of the growth and control of tumors /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6764.

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32

Rymph, Stuart J. "Modeling growth and composition of perennial tropical forage grasses." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006608.

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33

Witkiewitz, Katie. "Predicting alcohol relapse using nonlinear dynamics and growth mixture modeling /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/9047.

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34

Hogea, Cosmina S. "Modeling tumor growth a computational approach in a continuum framework /." Diss., Online access via UMI:, 2005. http://wwwlib.umi.com/dissertations/fullcit/3164736.

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35

Mohan, Anand. "Modeling the growth and dissolution of clots in flowing blood." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4445.

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Multiple interacting mechanisms control the formation and dissolution of clots to maintain blood in a state of delicate balance. In addition to a myriad of biochemical reactions, rheological factors also play a crucial role in modulating the response of blood to external stimuli. The broad stimuli for clot formation were laid out, more than a century ago, in, what is now referred to as, Virchow’s triad. To date, a comprehensive model for clot formation and dissolution, that takes into account the biochemical, medical and rheological factors, has not been put into place, the existing model
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36

Wang, Jingjing. "Multirate mass transfer and biofilm growth modeling in porous media." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672346.

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Reactive transport modeling is a methodological tool to study the coupled physical, chemical and biological processes in Earth system. It is complex not only because of the nature of the equations, but also because of the effects of the porous medium heterogeneity on reactive transport. This thesis aims to deepen the understanding of reactive transport processes in order to explain the biochemical degradation process in porous media, with special emphasis on the role of biofilm and its growth. First, we propose a general and efficient numerical solution of reactive transport in multicontinuum
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37

Hijazi, Hadi. "HVPE-Grown GaAs Nanowires : Growth Modeling, Passivation and Transport Properties." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC059.

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Alors que la croissance par HVPE de nanofils GaAs est bien maitrisée à l'Institut Pascal sur substrat de GaAs, quant à elle, la croissance sur substrats de silicium reste un sujet à développer. Dans ce travail, nous proposons dans le chapitre I un procédés expérimental permettant d'obtenir des nanofils de GaAs sur substrat de Si(111) par la voie VLS catalysée Au, accompagnés de structures larges appelées écailles. Ce procédé doit être optimiser si un rapport nanofils/écailles plus élevé est souhaité. Nous avons démontré par in-situ LEEM et LEED que les gouttelettes catalyseurs d'Au désoxydent
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38

Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko, and N. M. Manko. "Mathematical modeling economic growth within the framework of solow model." Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/17577.

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39

Rollo, Sara K. "Integrating Health Education and Leisure Time into Economic Growth Modeling." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1251060247.

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40

Barrales-Mora, Luis Antonio. "2-D and 3-D grain growth modeling and simulation /." Göttingen : Cuvillier, 2008. http://d-nb.info/990426629/04.

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41

Limmer, Steven J. "Sol electrophoretic growth of oxide nanostructures : synthesis, properties and modeling /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/10611.

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42

ROBINSON, DAVID GERALD. "MODELING RELIABILITY IMPROVEMENT DURING DESIGN (RELIABILITY GROWTH, BAYES, NON PARAMETRIC)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183971.

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Past research into the phenomenon of reliability growth has emphasised modeling a major reliability characteristic in terms of a specific parametric function. In addition, the time-to-failure distribution of the system was generally assumed to be exponential. The result was that in most cases the improvement was modeled as a nonhomogeneous Poisson process with intensity λ(t). Major differences among models centered on the particular functional form of the intensity function. The popular Duane model, for example, assumes that λ(t) = β(1 – α)t ⁻ᵅ. The inability of any one family of distributions
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43

Molina, Realpe Norányeli Paola. "RPK growth modeling for passenger airlines using network-related variables." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122578.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 100-107).<br>On average, an airline starts to place orders or aircraft within 3 - 10 years before the expected delivery date. During this time, there could be changes given the nat
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44

TEDONE, FABIO. "The mathematical modeling of plant growth and applications to robotics." Doctoral thesis, Gran Sasso Science Institute, 2020. http://hdl.handle.net/20.500.12571/14997.

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In the thesis, a novel modelling approach to study plant growth is proposed. Motivated by the ability of plants to survive and develop in stressful environments, the analysis here proposed focuses on the efficiency of the plant's growing strategies. Many mathematical models have been proposed in the literature to study plants. Here, most of them are critically reviewed. Among them, it still misses a quantitative definition of what the plant is optimising during the growth. In the thesis, the plant is thought as an active agent able to adapt its growing strategy to optimise something. Both th
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45

RECROSI, FILIPPO. "Modeling of biological tissue: diffusion, growth & remodeling, active behaviour." Doctoral thesis, Gran Sasso Science Institute, 2019. http://hdl.handle.net/11573/1556082.

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RECROSI, FILIPPO. "Modeling of biological tissue: diffusion, growth & remodelling, active behaviour." Doctoral thesis, Gran Sasso Science Institute, 2019. http://hdl.handle.net/20.500.12571/22501.

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47

Chung, Seung-Wook. "Modeling and analysis of the transforming growth factor beta signaling pathway." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 115 p, 2008. http://proquest.umi.com/pqdweb?did=1597632591&sid=15&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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48

Harley, Eric. "Modeling Cancer Cell Response to Immunotherapy." Scholarship @ Claremont, 2004. https://scholarship.claremont.edu/hmc_theses/164.

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Significant work has been done modeling cancerous tumor growth and response to therapy under certain simplifying assumptions, specifically, the assumption of spatial homogeneity. We have chosen a spatially heterogenous model for cancer cell growth using a hybrid Lattice-Gas Cellular Automata method. Cell mitosis, apoptosis, and necrosis are explicitly modeled along with the diffusion of nutrients and a necrotic signal. The model implementation is verified qualitatively and is modified to execute on a parallel computer.
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49

Barker, Vincent Mark. "Thermo-mechanical fatigue crack growth modeling of a nickel-based superalloy." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44714.

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A model was created to predict the thermo-mechanical fatigue crack growth rates under typical engine spectrum loading conditions. This model serves as both a crack growth analysis tool to determine residual lifetime of ageing turbine components and as a design tool to assess the effects of temperature and loading variables on crack propagation. The material used in the development of this model was a polycrystalline superalloy, Inconel 100 (IN-100). The first step in creating a reliable model was to define the first order effects that influence TMF crack growth in a typical engine spectrum.
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Nikolaou, Andreas. "Multi-scale modeling of light-limited growth in microalgae production systems." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39967.

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Microalgae are often seen as important candidates for biofuel production. Claimed advantages over conventional oil crops include their fast growth rate and high lipid content as well as an independence from arable land and fresh water. Commercial viability of microalgae-derived biofuel is currently hindered by the high nutrient requirement, the trade-off between growth and lipid accumulation, sub-optimal growth conditions in large-scale culturing systems and difficulties related to the lipid extraction process. This thesis is concerned with the effect that the light conditions have on microalg
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