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Статті в журналах з теми "Toom model"
Ayyer, Arvind. "A finite variant of the Toom Model." Journal of Physics: Conference Series 638 (September 3, 2015): 012005. http://dx.doi.org/10.1088/1742-6596/638/1/012005.
Повний текст джерелаBarabási, Albert-László, Mariela Araujo, and H. Eugene Stanley. "Three-dimensional Toom model: Connection to the anisotropic Kardar-Parisi-Zhang equation." Physical Review Letters 68, no. 25 (June 22, 1992): 3729–32. http://dx.doi.org/10.1103/physrevlett.68.3729.
Повний текст джерелаShapira, Assaf, and Kay Jörg Wiese. "Anchored advected interfaces, Oslo model, and roughness at depinning." Journal of Statistical Mechanics: Theory and Experiment 2023, no. 6 (June 1, 2023): 063202. http://dx.doi.org/10.1088/1742-5468/acd2bb.
Повний текст джерелаHutchins, M., K. Urama, E. Penning, J. Icke, C. Dilks, T. Bakken, C. Perrin, T. Saloranta, L. Candela, and J. Kämäri. "The model evaluation tool: guidance for applying benchmark criteria for models to be used in river basin management." River Systems 17, no. 1-2 (July 28, 2006): 23–48. http://dx.doi.org/10.1127/lr/17/2006/23.
Повний текст джерелаIcke, J., K. J. van Heeringen, S. Groot, and M. Ouboter. "Model Evaluation Tool experiences for the Amstel River." River Systems 17, no. 1-2 (July 28, 2006): 97–113. http://dx.doi.org/10.1127/lr/17/2006/97.
Повний текст джерелаDenpaiboon, Chaweewan, and Pornchai Jantaworn. "Structural Equation Models for Building Awareness and Acceptance of Public Participation in Thailand’s Comprehensive Urban Planning Procedures." Journal of Architectural/Planning Research and Studies (JARS) 13, no. 2 (December 30, 2016): 57–68. http://dx.doi.org/10.56261/jars.v13i2.81274.
Повний текст джерелаBroszkiewicz-Suwaj, Ewa, and Leszek Kuchar. "RAINFALL DERIVATIVES AS A RISK MANAGEMENT TOOL FOR GRAIN PRODUCERS: DAILY MODEL VS. INDEX MODEL." Acta Scientiarum Polonorum Formatio Circumiectus 19, no. 1 (April 20, 2020): 13–20. http://dx.doi.org/10.15576/asp.fc/2020.19.1.13.
Повний текст джерелаJinnah, H. A., Vladimir Neychev, and Ellen J. Hess. "The Anatomical Basis for Dystonia: The Motor Network Model." Tremor and Other Hyperkinetic Movements 7 (October 23, 2017): 506. http://dx.doi.org/10.5334/tohm.383.
Повний текст джерелаLee, Jihyun, Inyong Kim, Jeyeon Lee, Emily Knight, Lei Cheng, Shin Il Kang, Dong Pyo Jang, and Su-Youne Chang. "Development of Harmaline-induced Tremor in a Swine Model." Tremor and Other Hyperkinetic Movements 8 (March 13, 2018): 532. http://dx.doi.org/10.5334/tohm.406.
Повний текст джерелаSciandra, M., and A. Plaia. "A graphical model selection tool for mixed models." Communications in Statistics - Simulation and Computation 47, no. 9 (August 23, 2017): 2624–38. http://dx.doi.org/10.1080/03610918.2017.1353617.
Повний текст джерелаДисертації з теми "Toom model"
Jones, Thomas Carroll Jr. "JigCell Model Connector: Building Large Molecular Network Models from Components." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78277.
Повний текст джерелаMaster of Science
Carmona, Bardella Ana. "Combining Discrete Element and Process-based sedimentary models: a new tool to model syntectonic sedimentation." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/401652.
Повний текст джерелаEl objectiu principal d'aquesta tesi és donar un pas endavant en el coneixement dels processos geològics que intervenen en la formació de les conques sedimentàries mitjançant la creació d'un model numèric per modelitzar la sedimentació sintectònica en un ambient subaquàtic. El model numèric desenvolupat en aquesta tesi és capaç de modelitzar la sedimentació clàstica subaquàtica i la deformació de la unitat pretectònica en una sola configuració. Per fer això, el model combina dos models ja existents: un model d'elements discrets per simular la deformació de la unitat pretectònica (DEM) i un model sedimentari basat en processos, per modelitzar la sedimentació clàstica subaquàtica Simsafadim (SFM). La unió d'aquest dos models, DEM i SFM, proporciona una nova eina per a la modelització geològica. En el nou model, l’evolució de deformació en la unitat pretectònica canviarà la topografia de la conca, que afectarà directament la batimetria, influenciant així els processos de transport i sedimentació que hi tenen lloc. Alhora, aquesta evolució de la deformació de la unitat pretectònica estarà influenciada per la presència dels nous materials sintectònics. Amb aquesta doble interacció tectònica-sedimentària del nou model, també es pot estudiar la deformació en els materials sintectònics. Aquesta nova eina de modelització permet simular i analitzar diferents arquitectures deposicionals sintectòniques i escenaris geològics més complexos. Tant per ampliar el coneixement de com els processos de sedimentació-deformació interactuen en alguns ambients tectònics, com per comprovar l'eficàcia del model, la nova eina s'aplica a dos casos diferents: 1) En primer lloc s'utilitza el model numèric en un ambient extensional per estudiar l'impacte que té la presència de falles normals i les corresponents zones de relleu en la distribució del sediment a la conca. Quan es compara la distribució de sediment obtinguda amb una configuració de dos falles amb una rapa de relleu, amb la distribució de sediment obtinguda amb una configuració d'una sola falla, els resultats mostren asimetries, tant longitudinals com perpendiculars a les estructures. 2) En el segon cas s'estudia l'efecte de la sedimentació sintectònica sobre la geometria final d'un plec. Els resultats, obtinguts a partir de la comparació de l'evolució de les estructures considerant o no considerant sedimentació sintectònica, estableixen que la sedimentació sintectònica pot afectar tant al mecanisme de formació del plec com a la seva geometria final.
Sarrazin, Pierre. "Reengineering a process model generalisation tool." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29777.pdf.
Повний текст джерелаSarrazin, Pierre 1971. "Reengineering a process model generalisation tool." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27402.
Повний текст джерелаSILVA, THAIS ROSA DA. "A SUPPLY CHAIN MATURITY MODEL TOOL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=36265@1.
Повний текст джерелаThe competitive marketplace systematically demands reduced costs and more flexibility from contemporary organizations which, in turn, can achieve better results by focusing on the development of their supply chains. Thus, supply chain maturity models present themselves as allies in the leverage process of organizations. Despite the increasing number of models in this field of knowledge, the literature points to a gap in the creation of hybrid, adaptive models that are predisposed to measure the supply chain in a broad way. From this gap, the objective of this dissertation was to develop a maturity model in supply chain management with an associated measurement tool. For this, a methodology was developed subdivided in three phases, covering: the introductory studies, the bibliographical research and the effective development of the model and tool. The result of this research was the creation of the technological product, with registration in the National Institute of Industrial Property (INPI), Supply Chain Management Maturity Model (SCM3). SCM3 is interdisciplinary, multidimensional and composed of 6 application dimensions: supplier management, operation and customer management, logistic activities management, human resources, technological systems and performance measurement system. The SCM3 uses the concept of turning points to change maturity level, which confers greater pragmatism to the model. The operationalization of this model also required the development of a method to support organizations for the implementation. The computational tool prototype associated to SCM3 generates compatible and comparable results, gathering 153 questions and 5 functionalities. The validation stage of the model was attended by specialists from both the market and academy, who evaluated aspects inherent to the interface, content, logical linkage, viability and acceptability of the model. The model was applied in an organizational environment in two large companies, leaders of the Brazilian telecommunications sector, counting with the participation of the managerial layer of the companies. The application has proved to be relevant for organizations and academics, being able to perform numerous analyzes for organizations to leverage their chains and support future benchmarking studies in supply chain maturity.
Buscaroli, Nicolò. "Il tool PRISM+." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Знайти повний текст джерелаCIRILO, ELDER JOSE REIOLI. "GENARCH: A MODEL-BASED PRODUCT DERIVATION TOOL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12424@1.
Повний текст джерелаCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Este trabalho apresenta uma ferramenta baseada em modelos para derivação de produtos de LPSs, denominada GenArch. O objetivo principal da ferramenta é permitir que a comunidade de desenvolvimento de software tradicional, utilize conceitos e fundamentos de abordagens de LPSs na produção de seus sistemas ou partes de seus sistemas sem a necessidade do entendimento de modelos e conceitos complexos. A abordagem implementada pela ferramenta foi elaborada com base em fundamentos do desenvolvimento dirigido por modelos. Centrada na definição de três modelos (características, implementação e configuração), a ferramenta permite a derivação automática de produtos ou frameworks existentes. O trabalho também define um conjunto específico de anotações Java que possibilitam a geração automática dos modelos de derivação a partir dos elementos de implementação da arquitetura de uma LPS. A plataforma Eclipse e as tecnologia EMF e openArchitectureWare foram utilizadas como base para a implementação da ferramenta. Uma extensão da ferramenta que atende especificamente aos modelos de componente Spring e OSGi, também é proposta nessa dissertação. Tal extensão permite a instanciação automática da LPS e aplicações através de diferentes tipos de customizações, variando da configuração fina de propriedades de componentes até a seleção automática de quais componentes irão compor o produto final. Como parte de validação da abordagem, a ferramenta foi utilizada na derivação automática de três diferentes estudos de caso: (i) o framework JUnit; (ii) uma LPS de jogos J2ME; e (iii) uma aplicação web baseada em serviços. Diversas lições aprendidas e resultados do uso da ferramenta nestes três diferentes cenários são também apresentadas.
This work presents a model-based tool for product derivation, called GenArch, which aims to enable the mainstream software developer community to use the concepts and foundations of the SPL approach, without the need to understand complex concepts or models. The tool approach is build on top of model-driven development techniques. It is centered on the definition of three models (feature, implementation and configuration models), which enable the automatic instantiation of software product lines (SPLs) or frameworks. A set of specific Java annotations are also defined to allow generating automatically many of the models, based on existing implementations elements of SPL architectures. The Eclipse platform, and EMF and openArchitectureWare technologies are used as the base for the implementation of the tool. The dissertation also presents a GenArch extension that addresses the new abstractions provided by the Spring and OSGi component models. Different kinds of customizations are provided by this extension varying from fine-grained configuration of component properties to the automatic selection of components that will compose the final product. As part of the approach validation, the tool was used in the derivation of three case studies: (i) JUnit framework; (ii) a J2ME games SPL; (iii) a service oriented Web application. Several lessons learned and discussions resulting from the use of the tool also are described.
Newby, Christopher. "Tool for Physics Beyond the Standard Model." Thesis, University of Oregon, 2016. http://hdl.handle.net/1794/20472.
Повний текст джерелаGu, Wenqing. "Tool Integration: Model-based Tool Adapter Construction and Discovery Conforming to OSLC." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-169430.
Повний текст джерелаNaswa, Sudhir. "Representation of Biochemical Pathway Models : Issues relating conversion of model representation from SBML to a commercial tool." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-28.
Повний текст джерелаBackground: Computational simulation of complex biological networks lies at the heart of systems biology since it can confirm the conclusions drawn by experimental studies of biological networks and guide researchers to produce fresh hypotheses for further experimental validation. Since this iterative process helps in development of more realistic system models a variety of computational tools have been developed. In the absence of a common format for representation of models these tools were developed in different formats. As a result these tools became unable to exchange models amongst them, leading to development of SBML, a standard exchange format for computational models of biochemical networks. Here the formats of SBML and one of the commercial tools of systems biology are being compared to study the issues which may arise during conversion between their respective formats. A tool StoP has been developed to convert the format of SBML to the format of the selected tool.
Results: The basic format of SBML representation which is in the form of listings of various elements of a biochemical reaction system differs from the representation of the selected tool which is location oriented. In spite of this difference the various components of biochemical pathways including multiple compartments, global parameters, reactants, products, modifiers, reactions, kinetic formulas and reaction parameters could be converted from the SBML representation to the representation of the selected tool. The MathML representation of the kinetic formula in an SBML model can be converted to the string format of the selected tool. Some features of the SBML are not present in the selected tool. Similarly, the ability of the selected tool to declare parameters for locations, which are global to those locations and their children, is not present in the SBML.
Conclusions: Differences in representations of pathway models may include differences in terminologies, basic architecture, differences in capabilities of software’s, and adoption of different standards for similar things. But the overall similarity of domain of pathway models enables us to interconvert these representations. The selected tool should develop support for unit definitions, events and rules. Development of facility for parameter declaration at compartment level by SBML and facility for function declaration by the selected tool is recommended.
Книги з теми "Toom model"
Architekturmuseum, Deutsches, ed. Das Architektur Modell: Werkzeug, Fetisch, kleine Utopie = The architectural model : tool, fetish, small utopia. Frankfurt am Main: DAM, Deutsches Architekturmuseum, 2012.
Знайти повний текст джерелаMerilinna, Janne. A tool for quality-driven architecture model transformation. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2005.
Знайти повний текст джерелаClark, John J. Sustainable corporate growth: A model and management planning tool. New York: Quorum Books, 1989.
Знайти повний текст джерелаWiscombe, Tom. Objects models worlds: Tom Wiscombe Architecture. Beijing: AADCU Publishers, 2021.
Знайти повний текст джерелаCampbell, Kit. Facilities planning model: A planning tool for developing sports facilities. London: English Sports Council, 1998.
Знайти повний текст джерелаMetrowich, Thomas P. A model for training teachers in the TOAM-CAI innovation. [Johannesburg]: University of the Witwatersrand, 1985.
Знайти повний текст джерелаWhite, Carole. Have I said too much?: My life in and out of the model agency. London: Century, 2013.
Знайти повний текст джерелаDede, Christopher. Designing a training tool for imaging mental models. [Houston, Tex.?]: Research Institute for Computing and Information Systems, University of Houston, Clear Lake, 1990.
Знайти повний текст джерелаIntroduction to quantitative finance: A math tool kit. Cambridge, MA: MIT Press, 2010.
Знайти повний текст джерела1931-, Young Robert A., and United States. Agricultural Research Service., eds. AGNPS, Agricultural Non-Point-Source Pollution Model: A watershed analysis tool. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, 1987.
Знайти повний текст джерелаЧастини книг з теми "Toom model"
Lund, Mass Soldal, Bjørnar Solhaug, and Ketil Stølen. "The CORAS Tool." In Model-Driven Risk Analysis, 339–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-12323-8_18.
Повний текст джерелаKaradag, Zekeriya, and Douglas McDougall. "Geogebra as a Cognitive Tool." In Model-Centered Learning, 169–81. Rotterdam: SensePublishers, 2011. http://dx.doi.org/10.1007/978-94-6091-618-2_12.
Повний текст джерелаGiannakopoulou, Dimitra, and Corina S. Păsăreanu. "Learning-Based Assume-Guarantee Verification (Tool Paper)." In Model Checking Software, 282–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11537328_24.
Повний текст джерелаPelánek, Radek, and Václav Rosecký. "EMMA: Explicit Model Checking Manager (Tool Presentation)." In Model Checking Software, 169–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02652-2_15.
Повний текст джерелаBen-Ari, Mordechai. "Tool Presentation: Teaching Concurrency and Model Checking." In Model Checking Software, 6–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02652-2_5.
Повний текст джерелаAljazzar, Husain, Florian Leitner-Fischer, Stefan Leue, and Dimitar Simeonov. "DiPro - A Tool for Probabilistic Counterexample Generation." In Model Checking Software, 183–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22306-8_13.
Повний текст джерелаDal, Giso H., Alfons Laarman, and Peter J. F. Lucas. "ParaGnosis: A Tool for Parallel Knowledge Compilation." In Model Checking Software, 22–37. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32157-3_2.
Повний текст джерелаGerth, Christian. "Tool Support." In Business Process Models. Change Management, 177–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38604-6_11.
Повний текст джерелаDonaldson, Alastair F., and Simon J. Gay. "Etch: An Enhanced Type Checking Tool for Promela." In Model Checking Software, 266–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11537328_21.
Повний текст джерелаGaravel, Hubert, and Radu Mateescu. "SEQ.OPEN: A Tool for Efficient Trace-Based Verification." In Model Checking Software, 151–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24732-6_11.
Повний текст джерелаТези доповідей конференцій з теми "Toom model"
Aravantinos, Vincent, and Sudeep Kanav. "Tool Support for Live Formal Verification." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.6.
Повний текст джерелаCano-Genoves, Carlos, Emilio Insfran, and Silvia Abrahão. "A value-based goal model analysis tool." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3559089.
Повний текст джерелаAgner, Luciane T. W., and Timothy C. Lethbridge. "A Survey of Tool Use in Modeling Education." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.1.
Повний текст джерелаPasquier, Matthias, Frédéric Jouault, Matthias Brun, and Julien Pérochon. "Evaluating tool support for embedded operating system security." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3420048.
Повний текст джерелаBasciani, Francesco, Davide Di Ruscio, Mattia D'Emidio, Daniele Frigioni, Alfonso Pierantonio, and Ludovico Iovino. "A tool for automatically selecting optimal model transformation chains." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3270112.3270123.
Повний текст джерелаBarriga, Angela, Davide Di Ruscio, Ludovico Iovino, Phuong T. Nguyen, and Alfonso Pierantonio. "An extensible tool-chain for analyzing datasets of metamodels." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3417990.3419626.
Повний текст джерелаHarbo, Sean Kristian Remond, Emil Palmelund Voldby, Jonas Madsen, and Michele Albano. "A diagram-centric modeling tool for systems of systems." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3559093.
Повний текст джерелаZöllner, Christian, Christian M. Adriano, Simon Wietheger, Leen Lambers, and Holger Giese. "Tool support for the teaching of state-based behavior modeling." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3556501.
Повний текст джерелаFouche, Alexis, Florian Noyrit, Sebastien Gerard, and Maged Elaasar. "Systematic generation of standard compliant tool support of diagrammatic modeling languages." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338266.
Повний текст джерелаKalantari, Reyhaneh, and Timothy C. Lethbridge. "Preliminary results of measuring flow experience in a software modeling tool." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550356.3559099.
Повний текст джерелаЗвіти організацій з теми "Toom model"
Sriraj, P. S., Kazuya Kawamura, Paul Metaxatos, Joseph Fazio, Chaitanya Pujari, Nahid Parvez Farazi, and Pooria Choobchian. Railroad-Highway Crossing Safety Improvement Evaluation and Prioritization Tool. Illinois Center for Transportation, June 2023. http://dx.doi.org/10.36501/0197-9191/23-009.
Повний текст джерелаWang, Limang, Joseph Broach, and Huajie Yang. Incorporate Emerging Travel Modes in the Regional Strategic Planning Model (RSPM) Tool. Transportation Research and Education Center (TREC), 2018. http://dx.doi.org/10.15760/trec.209.
Повний текст джерелаLee, Y. Tina, Johannes A. Soons, and M. Alkan Donmez. Information model for machine-tool-performance tests. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6580.
Повний текст джерелаBusch, Ingrid Karin, and Rob L. Howard. Transportation Operations Model (TOM) Technical Manual. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1136359.
Повний текст джерелаLasko, Kristofer, and Elena Sava. Semi-automated land cover mapping using an ensemble of support vector machines with moderate resolution imagery integrated into a custom decision support tool. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42402.
Повний текст джерелаBlundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40185.
Повний текст джерелаPaolinelli, Luciano, and Srdjan Nesic. PR646-173609-Z01 Water Wetting Prediction Tool for Pipeline Integrity. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2021. http://dx.doi.org/10.55274/r0012111.
Повний текст джерелаNarayanan, Badri, Thomas Hertel, and Mark Horridge. Disaggregated Data and Trade Policy Analysis: The Value of Linking Partial and General Equilibrium Models. GTAP Working Paper, July 2009. http://dx.doi.org/10.21642/gtap.wp56.
Повний текст джерелаAnsari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.
Повний текст джерелаZhang, Yongfeng, Ian Greenquist, and Michael Tonks. Development of a UO2 Densification Model in the MARMOT Tool. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1473590.
Повний текст джерела