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Relevant bibliographies by topics / Modeling growth of livers

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Academic literature on the topic 'Modeling growth of livers'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Modeling growth of livers"

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Naqvi, Sadaf Batool, and Abad A. Shah. "Modeling Historically mHealth Care Environments." International Journal of Reliable and Quality E-Healthcare 7, no. 3 (2018): 57–75. http://dx.doi.org/10.4018/ijrqeh.2018070104.

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This article describes how mobile health (mHealth) has grown from infancy stage to toddler stage due to advances in the technology. It has the potential for further growth as it is low-cost health care. For its further growth, it is necessary to widen its scope. In this article, a proposal is presented to develop a new and advanced mHealth care system, and its first step that is modelling is reported. In modelling, historically, a model of a temporal object system (TOS) is used. The model empowers users of the proposed mHealth care system to define, retrieve and manipulate all objects historic

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Campbell, Adrienne, Thiru Sivakumaran, Melanie Davidson, Michael Lock, and Eugene Wong. "Mathematical modeling of liver metastases tumour growth and control with radiotherapy." Physics in Medicine and Biology 53, no. 24 (2008): 7225–39. http://dx.doi.org/10.1088/0031-9155/53/24/015.

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Panchenko, Andrey, Yevgeniy Plakhov, Yekaterina Gubareva, Lyudmila Guzevatykh, K. Khitrin, and V. Balabanyan. "MODELING OF SOLID LIVER CANCER IN A RABBIT." Problems in oncology 63, no. 5 (2017): 785–91. http://dx.doi.org/10.37469/0507-3758-2017-63-5-785-791.

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Possibilities of the liver tumor modeling were assessed in rabbits of Soviet Chinchilla strain by implantation into the left lobe of the liver slices of squamous cell VX2 tumor obtained from donor rabbits inoculated with the tumor in the thigh muscles. The basic parameters of the model were established - the dynamics of tumor growth, inoculation rate, incidence of concomitant abdominal tumors. There was offered a method for minimally invasive monitoring of the development of the tumor after implantation to the liver by means of the level of venous blood granulocytes. It was found that the most

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Wong, Gordon Gaa Lam, Blair Gage, Mahmoud El-Maklizi, et al. "Modeling Clonal Hematopoiesis Due to Chromosome 13q Deletion in Human Hematopoietic Stem Cells." Blood 144, Supplement 1 (2024): 946. https://doi.org/10.1182/blood-2024-206253.

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Before diagnosis, a pre-leukemic state precedes leukemia, where a single mutated hematopoietic stem cell (HSC) with a competitive growth advantage expands clonally (termed clonal hematopoiesis (CH)). Autosomal mosaic chromosome alterations (mCAs) are common CH drivers but are unexplored mechanistically. Chromosome 13q deletion (13q-) is one of the most common mCAs, increasing leukemia risk 29.5-fold and chronic lymphocytic leukemia (CLL) 185-fold. We informatically determined that a 260kb region containing two lincRNAs, DLEU1 and DLEU2 is the 13q minimum deleted region (MDR). With CRISPR, the

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Bolinas, Dominic Karl M., Allan John R. Barcena, Archana Mishra, Marvin R. Bernardino, Steven Y. Huang, and Marites P. Melancon. "Abstract 120: Developing a novel intra-portal stem cell hydrogel carrier system for enhancing liver remnant hypertrophy and improving surgical eligibility for hepatocellular carcinoma: preclinical assessment in a murine model of portal vein blockade." Cancer Research 85, no. 8_Supplement_1 (2025): 120. https://doi.org/10.1158/1538-7445.am2025-120.

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Abstract Purpose: Hepatocellular carcinoma (HCC) is definitively treated with surgical resection of the affected lobe. However, 32% of patients are ineligible due to insufficient future liver remnant, which increases the risk of post-hepatectomy liver failure. To address this, portal vein blockade with mesenchymal stem cell (MSC) augmentation is used to induce pre-operative liver hypertrophy. However, 20-30% of patients fail to achieve adequate growth due to the rapid washout of MSCs from the liver. Therefore, we pioneered the use of hydrogels as stem cell carrier systems to enhance the retent

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MollaAli Farkhani, Shirin. "The Relationship Between Resilience and Mindfulness with Post-Traumatic Growth: The Mediating Role of Coping Styles in Women with Cancer." Psychology of woman journal 4, no. 2 (2023): 132–39. http://dx.doi.org/10.61838/kman.pwj.4.2.16.

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Objective: Cancer, as a major health challenge globally, affects millions of lives. The purpose of this study was to investigate the relationship between resilience and mindfulness with post-traumatic growth in women with cancer, considering the mediating role of coping styles. Methods and Materials: The research method was descriptive correlational modeling (structural equation modeling). Participants in this study were women with breast cancer visiting all treatment centers (hospitals, and private and public clinics) in Tehran, among whom 206 were selected conveniently. Data were collected u

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Youn, J. H., and R. N. Bergman. "Patterns of glycogen turnover in liver characterized by computer modeling." American Journal of Physiology-Endocrinology and Metabolism 253, no. 4 (1987): E360—E369. http://dx.doi.org/10.1152/ajpendo.1987.253.4.e360.

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We used a computer model of liver glycogen turnover to reexamine the data of Devos and Hers, who reported the time course of accumulation in and loss from glycogen of label originating in [1-14C]galactose injected at different times after the start of refeeding of 40-h fasted mice or rats. In the present study computer representation of individual glycogen molecules was utilized to account for growth and degradation of glycogen according to specific hypothetical patterns. Using this model we could predict the accumulation and localization within glycogen of labeled glucose residues and compare

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Skardal, Aleksander, Mahesh Devarasetty, Christopher Rodman, Anthony Atala, and Shay Soker. "Liver-Tumor Hybrid Organoids for Modeling Tumor Growth and Drug Response In Vitro." Annals of Biomedical Engineering 43, no. 10 (2015): 2361–73. http://dx.doi.org/10.1007/s10439-015-1298-3.

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Kitamura, Takayuki, Louis J. Ghosn, and Ryuichi Ohtani. "Stochastic Modeling of Crack Initiation and Short-Crack Growth Under Creep and Creep-Fatigue Conditions." Journal of Applied Mechanics 59, no. 2S (1992): S35—S42. http://dx.doi.org/10.1115/1.2899505.

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A simplified stochastic model is proposed for crack initiation and short-crack growth under creep and creep-fatigue conditions. Material inhomogeneity provides the random nature of crack initiation and early growth. In the model, the influence of microstructure is introduced by the variability of (1) damage accumulation along grain boundaries, (2) critical damage required for crack initiation or growth, and (3) the grain-boundary length. The probabilities of crack initiation and growth are derived by using convolution integrals. The model is calibrated and used to predict the crack density and

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Schönfeld, Sabrina, Alican Ozkan, Laura Scarabosio, Marissa Nichole Rylander, and Christina Kuttler. "Environmental stress level to model tumor cell growth and survival." Mathematical Biosciences and Engineering 19, no. 6 (2022): 5509–45. http://dx.doi.org/10.3934/mbe.2022258.

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<abstract><p>Survival of living tumor cells underlies many influences such as nutrient saturation, oxygen level, drug concentrations or mechanical forces. Data-supported mathematical modeling can be a powerful tool to get a better understanding of cell behavior in different settings. However, under consideration of numerous environmental factors mathematical modeling can get challenging. We present an approach to model the separate influences of each environmental quantity on the cells in a collective manner by introducing the "environmental stress level". It is an immeasurable aux

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

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Modeling growth of livers"

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Panik, Michael J. Growth Curve Modeling. John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118763971.

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Preacher, Kristopher, Aaron Wichman, Robert MacCallum, and Nancy Briggs. Latent Growth Curve Modeling. SAGE Publications, Inc., 2008. http://dx.doi.org/10.4135/9781412984737.

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J, Preacher Kristopher, ed. Latent growth curve modeling. Sage Publications, 2008.

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Weiskittel, Aaron R., David W. Hann, John A. Kershaw, and Jerome K. Vanclay. Forest Growth and Yield Modeling. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119998518.

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Voigt, Axel, ed. Multiscale Modeling in Epitaxial Growth. Birkhäuser-Verlag, 2005. http://dx.doi.org/10.1007/b137679.

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Arnold, Robert. Modeling long-run economic growth. Congressional Budget Office, 2003.

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Weiskittel, Aaron R. Forest growth and yield modeling. Wiley, 2011.

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Axel, Voigt, ed. Multiscale modeling in epitaxial growth. Birkhäuser, 2005.

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Dasgupta, Ratan, ed. Growth Curve and Structural Equation Modeling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17329-0.

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Karin, Wisiol, and Hesketh John D, eds. Plant growth modeling for resource management. CRC Press, 1987.

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Book chapters on the topic "Modeling growth of livers"

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Taber, Larry A. "Growth." In Continuum Modeling in Mechanobiology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43209-6_6.

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Lanchier, Nicolas. "Logistic growth process." In Stochastic Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50038-6_11.

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López-Márquez, Arístides, Ainhoa Martínez-Pizarro, Belén Pérez, Eva Richard, and Lourdes R. Desviat. "Modeling Splicing Variants Amenable to Antisense Therapy by Use of CRISPR-Cas9-Based Gene Editing in HepG2 Cells." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2010-6_10.

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AbstractThe field of splice modulating RNA therapy has gained new momentum with FDA approved antisense-based drugs for several rare diseases. In vitro splicing assays with minigenes or patient-derived cells are commonly employed for initial preclinical testing of antisense oligonucleotides aiming to modulate splicing. However, minigenes do not include the full genomic context of the exons under study and patients’ samples are not always available, especially if the gene is expressed solely in certain tissues (e.g. liver or brain). This is the case for specific inherited metabolic diseases such

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Morozova, N., N. Bessonov, and V. Volpert. "Plant Growth Modeling." In Progress in Industrial Mathematics at ECMI 2006. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71992-2_89.

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Sinigaglia, Milena, Maria Rosaria Corbo, and Antonio Bevilacqua. "Modeling Microbial Growth." In Decontamination of Fresh and Minimally Processed Produce. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118229187.ch28.

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Scahill, Lawrence David, Koorosh Kooros, Ramon Barinaga, et al. "Growth Mixture Modeling." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100653.

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Brick, Leslie A. D., and Lisa L. Harlow. "Latent Growth Modeling." In The Essence of Multivariate Thinking, 3rd ed. Routledge, 2023. http://dx.doi.org/10.4324/9780429269103-19.

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Grimm, Uwe, and Dieter Joseph. "Modeling Quasicrystal Growth." In Quasicrystals. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-05028-6_9.

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Bhat, N. R., Arvind Bhatt, and M. K. Suleiman. "Growth Stages, Growth Analysis and Growth Modeling." In Physiology of Growth and Development in Horticultural Plants. CRC Press, 2024. http://dx.doi.org/10.1201/b23316-11.

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Burkhart, Harold E., and Margarida Tomé. "Growth Functions." In Modeling Forest Trees and Stands. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-3170-9_6.

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Conference papers on the topic "Modeling growth of livers"

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Jones, Harry W. "Reliability Growth Modeling and Testing." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935096.

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Kartika, Yulia A., Ariani Indrawati, Zaenal Akbar, Arya A. Waskita, Dadan R. Saleh, and Deden S. Hidayat. "Ontology-Based Approach for Modeling Plant Growth Experiments." In 2024 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2024. http://dx.doi.org/10.1109/ic3ina64086.2024.10732508.

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Lambert, S. B., A. Plumtree, and R. Sutherby. "Modeling of Environmental Crack Growth in Pipeline Steel." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00364.

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Abstract The growth of single cracks in stressed pipeline steel under simulated field conditions has been studied. This allowed simulations to be performed on these as well as stress corrosion crack colonies using a simple superposition model for fatigue and SCC, based on linear elastic fracture mechanics. A simple crack interaction model was implemented to account for the shielding effect of neighbouring cracks based on available solutions for pairs of surface cracks. Crack coalescence was considered using a simple proximity model. In general, the resulting model gave reasonable predictions o

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Glavind, Sebastian T., Henning Brüske, and Michael H. Faber. "On Normalized Fatigue Crack Growth Modeling." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18613.

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Abstract Modeling of fatigue crack growth plays a key role in risk informed inspection and maintenance planning for fatigue sensitive structural details. Probabilistic models must be available for observable fatigue performances such as crack length and depth, as a function of time. To this end, probabilistic fracture mechanical models are generally formulated and calibrated to provide the same probabilistic characteristics of the fatigue life as the relevant SN fatigue life model. Despite this calibration, it is recognized that the rather complex fracture mechanical models suffer from the fac

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Polasik, Steven J., and Carl E. Jaske. "Effective Modeling of Fatigue Crack Growth in Pipelines." In ASME 2012 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/pvp2012-78575.

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Pipeline operators must rely on fatigue crack growth models to evaluate the effects of operating pressure acting on flaws within the longitudinal seam to set re-assessment intervals. In most cases, many of the critical parameters in these models are unknown and must be assumed. As such, estimated remaining lives can be overly conservative, potentially leading to unrealistic and short reassessment intervals. This paper describes the fatigue crack growth methodology utilized by Det Norske Veritas (USA), Inc. (DNV), which is based on established fracture mechanics principles. DNV uses the fractur

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Nguyen, Anh Tuan, and Frederic Bard. "Abstract A39: Modeling organelle-specific O-glycosylation in driving liver tumor growth, invasion, and metastasis." In Abstracts: AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; September 24-27, 2017; Orlando, Florida. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.mousemodels17-a39.

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Gong, Haibo, Qingwei Zhang, Peter I. Lelkes, Jack G. Zhou, and Dichen Li. "Biomimetic Design, Modeling and Manufacturing of Chitosan/Gelatin Scaffolds for 3D Vascularized Liver Tissue Construct." In ASME 2010 International Manufacturing Science and Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/msec2010-34277.

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Despite the significant progress in engineering fairly thin tissues that contain or acquire vascular structures (e.g. skin, cartilage and bladder), it has been markedly difficult to construct metabolically demanding organs with thicker and more complex structures (e.g. heart, lung, kidney, and liver). This research explores a new generation of clinically significant (500cm3) liver tissue constructs made of a new natural polymer composite, imbedded with optimized network of flow channels, and manufactured using innovative structured porogen and lost-wax molding methods to receive a 3D vasculari

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Naim, Aziz Michel, and Kemper Lewis. "Modeling the Dynamics of Innovation in Engineered Systems." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68180.

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Innovation in engineering design remains a topic that lacks a formal and consistent framework. It is difficult developing a consistent definition of innovation since it is a phenomenon that is multidisciplinary in nature and present in every facet of our lives from engineering products to the performing and culinary arts. It is thus important to distinguish the general definition of innovation with its applicability in the engineering domain. Furthermore, the dynamic nature of innovation is oftentimes lost when designers try to model innovation in a complex system. The reality is that the perc

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Wong, Chee, Markus R. Dann, and Ron Wong. "Life Expectancy of Decommissioned Pipelines Under External Corrosion: Probabilistic Modeling." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9329.

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Abstract The typical service lives of operational energy pipelines are up to 50–70 years. The existing lines would subsequently be decommissioned and replaced with new lines. As one approach to dealing with a decommissioned line is by leaving the line untouched in the ground, there exists uncertainty in the structural integrity of decommissioned lines under external corrosion over time. This paper introduces reliability-based integrity assessment of decommissioned pipelines that remain in the ground. Two limit state functions are developed to quantify (i) formation of perforations under pittin

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Troiano, E., A. P. Parker, J. H. Underwood, C. Mossey, and G. N. Vigilante. "Mechanisms and Modeling Comparing HB7 and A723 High Strength Pressure Vessel Steels." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2300.

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HB7, an ultra-clean, high strength pressure vessel steel manufactured in France, is compared to A723 steel. This steel, suggested as an improved pressure vessel material is currently being proposed for critical applications, and will likely be used more frequently as design engineers discover its capabilities. This paper includes comparisons of strength, fracture toughness, fatigue properties and composition of the two steels, followed by an in-depth comparison and modeling of environmental cracking resistance, Bauschinger-modified residual stresses and fatigue lives. Results indicate that in

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Reports on the topic "Modeling growth of livers"

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Weinberger, Christopher. Modeling tin whisker growth. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1096472.

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Grimm, Kevin, and Nilam Ram. Growth Modeling with SEM. Instats Inc., 2024. http://dx.doi.org/10.61700/scobgclr2wfd61424.

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This comprehensive seminar on Growth Modeling with SEM, led by professors Kevin Grimm (ASU) and Nilam Ram (Stanford University), provides essential training for analyzing longitudinal data in various disciplines, including Psychology, Sociology, and Public Health. Participants will gain practical skills in applying linear and nonlinear growth models using Mplus and R, enhancing their ability to conduct sophisticated longitudinal research.

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Brust. L51576 Crack Growth Behavior and Modeling. Pipeline Research Council International, Inc. (PRCI), 1989. http://dx.doi.org/10.55274/r0010642.

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The objective of the Crack Growth/Modeling effort of the NG-18 Line Pipe Supervisory Committee's Stress-Corrosion Phase is to develop an understanding of the factors that control stress-corrosion crack growth. This information can be used to develop models for predicting crack growth and to mitigate crack growth through control of metallurgical parameters and operating conditions. This effort has been divided into the following four main tasks: (1) Characterization of crack shape,(2) Identification of a crack force driving parameter,(3) Determination of the effects of mechanical properties on

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Gharagozloo, Patricia. Algal Cultivation Growth Dynamic Modeling and Analysis. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1488478.

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Gharagozloo, Patricia, and John McGowen. Algal Cultivation Growth Dynamic Modeling and Analysis. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1528981.

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Alfaro, Ruben Alberto Mazariegos. Mechanical modeling of the growth of salt structures. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10165277.

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Alfaro, R. A. M. Mechanical modeling of the growth of salt structures. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/7368619.

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Caflisch, Russel E. Modeling and Numerical Methods for Material Growth and Convection. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada396412.

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de Almeida, Valmor F., Sophie Blondel, David E. Bernholdt, and Brian D. Wirth. Cluster Dynamics Modeling with Bubble Nucleation, Growth and Coalescence. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1376497.

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Reifsnider, K. L., W. W. Stinchcomb, C. E. Bakis, H. R. Yih, and Doron Shalev. Investigation and Modeling of Damage Growth in Composite Laminates. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada207623.

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