Relevant bibliographies by topics / Design models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Design models'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Design models"

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Southgate, D. A. T. "Design models." British Journal of Nutrition 73, no. 1 (January 1995): 1–2. http://dx.doi.org/10.1079/bjn19950003.

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Budgen, David. "‘Design models’ from software design methods." Design Studies 16, no. 3 (July 1995): 293–325. http://dx.doi.org/10.1016/0142-694x(95)00001-8.

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Beard, Alan N. "Fire models and design." Fire Safety Journal 28, no. 2 (March 1997): 117–38. http://dx.doi.org/10.1016/s0379-7112(96)00082-3.

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Hershenson, M. "Models of good design." IEE Review 49, no. 6 (June 1, 2003): 38. http://dx.doi.org/10.1049/ir:20030612.

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Rodd, M. G. "Logic models of design." Engineering Applications of Artificial Intelligence 1, no. 4 (December 1988): 335. http://dx.doi.org/10.1016/0952-1976(88)90059-0.

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Parkinson, A. "Robust Mechanical Design Using Engineering Models." Journal of Mechanical Design 117, B (June 1, 1995): 48–54. http://dx.doi.org/10.1115/1.2836470.

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This paper examines how engineering models can be used to develop robust designs—designs that can tolerate variation. Variation is defined in terms of tolerances which bracket the expected deviation of model variables and/or parameters. Several methods for robust design are discussed. The method of transmitted variation is explained in detail and illustrated on a linkage design problem and a check valve design problem.
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Parkinson, A. "Robust Mechanical Design Using Engineering Models." Journal of Vibration and Acoustics 117, B (June 1, 1995): 48–54. http://dx.doi.org/10.1115/1.2838676.

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This paper examines how engineering models can be used to develop robust designs—designs that can tolerate variation. Variation is defined in terms of tolerances which bracket the expected deviation of model variables and/or parameters. Several methods for robust design are discussed. The method of transmitted variation is explained in detail and illustrated on a linkage design problem and a check valve design problem.
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Wijesinha, Manel Cooray, and Andre I. Khuri. "Robust designs for first-order multiple design multivariate models." Communications in Statistics - Theory and Methods 20, no. 9 (January 1991): 2987–99. http://dx.doi.org/10.1080/03610929108830682.

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Irbīte, Andra, and Aina Strode. "DESIGN THINKING MODELS IN DESIGN RESEARCH AND EDUCATION." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 4 (May 26, 2016): 488. http://dx.doi.org/10.17770/sie2016vol4.1584.

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Design thinking has become a paradigm that is considered to be useful in solving many problems in different areas: both in development of design projects and outside of traditional design practice. It raises the question - is design thinking understood as a universal methodology in all cases? How it is interpreted in design education? The analysis of theoretical and design related literature indicates different basic and contextual challenges facing design today: increasing scale of social, economic and industrial borders; complexity of environment and systems; requirements in all levels. As specialists and researchers in the field of design have concluded, here are multiple disconnects betweenwhat the graduate design schools are teaching at the level of methods and what skills is already needed. The problems have been found also in interdisciplinary cooperation and research. In the context of design thinking models and problem solving methods, the analysis shows that design education implementers in public higher education institutions in Latvia are ready for local and global challenges.
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Park, Inho. "Understanding Complex Design Features via Design Effect Models." Korean Journal of Applied Statistics 28, no. 6 (December 31, 2015): 1217–25. http://dx.doi.org/10.5351/kjas.2015.28.6.1217.

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Dissertations / Theses on the topic "Design models"

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Peak, Russell Speights. "Product model-based analytical models (PBAMs) : a new representation of engineering analysis models." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18379.

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Al-Hammouri, Mohammad Fawzi Ahmad. "Deriving Distributed Design Models from Global Requirements Models." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42083.

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During the system and software development process for distributed systems, the development of the overall system design is critical for correctness, performance, and reliability. The objective of this thesis is the improvement of methods and tools that can be used to obtain a correct design model for distributed system components automatically by deriving the design model from the global system requirements. Mainly, we are concerned with the transformation from a global requirements model to a distributed design model. The global requirements model describes the behavior of a distributed system in an abstract manner by defining the local actions to be performed by different roles which represent actors in the different system components. The distributed design model defines the behavior of each actor separately, including its local actions plus the exchange of coordination messages, which are necessary to assure that the actions are performed in the required order. In this work, we first consider a global requirements model in the form of partially ordered actions similar to High-level Message Sequence Chart (HMSC). We study the realizability of the global requirements, which is said to be directly realizable if a design model can be constructed without any coordination messages. We study some problems which prevent direct realizability, such as strict sequence, non-local choice, non-deterministic choice, termination race, and others, and show under which conditions these problems are absent and the global model is directly realizable. For the other cases, we show how a conforming design model can be obtained by introducing a minimal number of coordination messages. In this context, we also show under which conditions sequence numbers are required in the messages of a weak while loop. Then we study the automatic derivation of a distributed design model using a tool. In order to obtain an easily readable notation for the global requirements model, we adapt the HMSC notation to the UML Hierarchical State Machine (HSM) notation and extend this notation to describe the roles that participate in the actions of each state of the global behavior. A simple state represents some local actions of a single role, while a hierarchical state usually represents a collaboration between several roles. Then we describe a derivation algorithm that can be applied to a global model written in this proposed HSM notation and generates a distributable UML HSM model, which contains a hierarchical state machine for each role of the application. We implemented this derivation algorithm as a tool in the context of the Umple UML development environment. This tool takes a global requirements model written in the extended HSM notation as input and automatically generates a UML HSM model. The distributed implementation environment described in Zakariapour’s thesis is used for generating a distributed Java implementation, where each distributed component contains one Java run-time environment and realizes the behavior of one or several of the roles of the application. A Travel Management System illustrative example has been discussed to illustrate the representation of the global model using the extended HSM notation and to demonstrate the correctness of the generated design models by the tool.
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Menicucci, Domenico. "Some Developments on Mechanism Design and Auctions." Doctoral thesis, Universitat Pompeu Fabra, 2001. http://hdl.handle.net/10803/7595.

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Esta tesis examina un modelo de intercambio en el que un vendedor posee una o más unidades de un determinado bien que puede vender a diferentes compradores potenciales. Cada comprador conoce su propia disponibilidad de pago para el/los bien/es, pero esta información es ignorada por los demás compradores y por el vendedor. Esta tesis estudia el trade-off entre la maximización de la recaudación del vendedor y la eficiencia de la adjudicación final; ésta se logra sí y solamente si el/los bien/es es/son adjudicados al/a los comprador/es que lo/s valoran más.Sobre los mecanismos eficientes de intercambio entre un vendedor y a compradores Makowski y Mezzetti (JET 1993) demostraron que el teorema de no existencia de mecanismos eficientes de Myerson y Satterthwaite (JET 1983) no tiene validez cuando el vendedor se enfrenta por lo menos con dos compradores.El primer capítulo demuestra que para algunos valores de los parámetros existe un mecanismo eficiente que no depende de la distribución de probabilidades para la valoración del vendedor, a diferencia de los mecanismos propuestos por Makowski y Mezzetti. Este resultado hace más simple la implementación de la adjudicación eficiente porque no es necesario que el planificador tenga una distribución de probabilidades para la valoración del vendedor, y mucho menos que ésta sea compartida por los compradores. Demostramos tamibén que un modelo con más unidades tiene propiedades muy similares a las del modelo con una sola unidad.Subastas óptimas para dos objetos en presencia de sinergiasEl segundo capítulo identifica la subasta que maximiza la recaudación del vendedor de dos bienes ante un efecto de sinergia: para cada comprador obtener ambos bienes vale más que la suma de los valores de los bienes individuales.Si el efecto de sinergia es modesto entonces la subasta óptima es equivalente a la del caso en que no hay sinergias. Si, por el contrario, el valore de la sinergia es grande, entonces ambos bienes se venden siempre a pares. En este últino caso notamos quew sólo para algunos valores de los parámetros ambos bienes se venden al comprador que tiene ka valoración máxima del par. Sin embargo, esto no pasa con otros valores de los parámetros: en este caso puede ser óptimo, adjudicar el par de bienes a un comprador que no tiene la valoración máxima para él. Se manifiesta entonces una ineficiencia de adjudicación que no se verifica en ausencia de sinergía (veáse Armstrong, RES 2000). Dicho resultado se puede explicar con modelos "no regulares" para un bien. Subastas optimales en presencia de colusión entre compradores con valoraciones correlacionadasEl último capítulo investiga cuál es la subasta optimal para el vendedor de un bien que se enfrenta a dos compradores con valoraciones positivamente correlacionadas, quienes coluden según el modelo de Laffont y Martimort (Econometría 2000).En el momento de la colusión los compradores pueden poseer información simétrica o asimétrica sobre sus propias valoraciones.Demostrarmos que el vendedor prefiere siempre este último caso. Este resultado intuitivo contrasta con el que Laffont y Martimort obtienen en un modelo de suministro un bien público; en su modelo, para algunos valores de los parámetros, no importa si la colusión se realiza en un contexto de información simétrica o asimétrica. Demostramos que si los compradores están en condciones de transferir el bien dentro de la coalición, entonces el vendedor es indiferente a los casos de información simétrica o asimétrica. En ambos casos realizamos varios ejercicios de estática comparada para estudiar el efecto de la correlación. Para concluir, demostramos que en algunos casos la subasta optimal para el vendedor posee equilibrios múltiples. Este problema se puede resolver imponiendo ulteriores vínculos a la subasta a utilizar, pero esto disminuye la recaudación del vendedor. El problema de eliminar la multiplicidad sin reducir la recaudación no queda resuelto y se deja como tema de una investigación venidera.
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Steffanny, Elaine. "Design communication through model making a taxonomy of physical models in interior design education /." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468135.

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Pliuskuvienė, Birutė. "Adaptive data models in design." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525.

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In the dissertation the adaptation problem of the software whose instability is caused by the changes in primary data contents and structure as well as the algorithms for applied problems implementing solutions to problems of applied nature is examined. The solution to the problem is based on the methodology of adapting models for the data expressed as relational sets.
Disertacijoje nagrinėjama taikomųjų uždavinių sprendimus realizuojančių programinių priemonių, kurių nepastovumą lemia pirminių duomenų turinio, jų struktūrų ir sprendžiamų taikomojo pobūdžio uždavinių algoritmų pokyčiai, adaptavimo problema.
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Bashir, Hamdi A. "Models for estimating design effort." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0034/NQ64508.pdf.

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Solomons, Stanley Nicholls. "Conceptual models in industrial design." Thesis, De Montfort University, 1988. http://hdl.handle.net/2086/4144.

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Pohl, Thomas. "Design of adaptable simulation models." Thesis, Sheffield Hallam University, 2006. http://shura.shu.ac.uk/20240/.

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In today's world, with ever increasing competition, modelling and simulation proves to be a very helpful tool. Many methodologies exist to help build a simulation model from scratch. In terms of adaptability, most current attempts focus on either the operational side, ie the automated integration of data into a model, or the creation of new software. However, very few attempts are being made to improve the adaptability of shelved models built in existing simulation software. As a result, there is a certain reluctance, in some areas, to use simulation to its full potential. Based on these facts, it is obvious that anything, which makes reuse of simulation models easier, can help improve the use and spread of simulation as a valuable tool to maintain a company's competitiveness. In order to find such a solution, the following issues are looked at in this thesis: The changes to a simulation model that constitute the biggest problem, ways to minimise those changes, and possibilities to simplify the implementation of those changes. Those factors are evaluated, first by investigating current practices of building adaptable simulation models via a literature review, then the most difficult changes to implement in a simulation model, and the most frequent types of simulation software, are identified by means of interviews and questionnaire surveys. Next, parameters describing the adaptability of a simulation model are defined. In a further step, two of the most widely used simulation packages are benchmarked against a variety of tasks, reflecting the changes most frequent to models. The benchmarking study also serves to define and test certain elements regarding their suitability for adaptable models. Based on all those steps, model building guidelines for the creation of adaptable simulation models are developed and then validated by means of interviews and a framed field experiment. The interviews and questionnaire reveal that deleting is the easiest task and modifying the most complicated, while handling devices are the most difficult element to modify. The results also show that simulators (eg Arena) are the most widespread type of simulation software. The benchmarking showed that Arena is overall more adaptable than Simul8, and confirms the findings from the user survey. Also, it shows that sequencing is very helpful for modifying models, while the use of sub-models decrease the adaptability. Finally, the validation proves that the model building guidelines substantially increase the adaptability of models.
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Carlos, Monteiro Ponce de Leon Antonio. "Optimum experimental design for model discrimination and generalized linear models." Thesis, London School of Economics and Political Science (University of London), 1993. http://etheses.lse.ac.uk/2434/.

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The main subject of this thesis concerns the optimum design of experiments for discriminating between two rival mathematical models. In addition, optimality of designs for parameter estimation is investigated although restricted to binary response models. Optimal design theory and generalized linear models form the background for this work. The former provides the tools for construction of the optimum designs whereas the latter provides the framework in which the methods are developed. For model discrimination the procedures which are proposed may not only be applied to compare two regression models but also to compare two generalized linear models as long as they belong to the same subclass. The principle of the so called T-optimality criterion, originally introduced for discriminating between two regression models, is extended to other classes such as generalized linear models. Within each context a theorem based on the General Equivalence Theorem from the optimal design theory is shown to hold thus allowing both constructing and checking optimum designs. Optimum experimental designs to estimate the parameters of a binary response model is the other subject of this thesis. Initially, well known link functions such as logit, probit and complementary log-log are considered. Later, this range is widened by introducing a family of link functions which includes the logit and the complementary log-log links as particular members. One common feature of these two problems is that classical optimal designs depend on the unknown values of the model parameters. Therefore, only locally optimal designs can be obtained unless observations may be taken sequentially, in which case several methods to search for the optimum are available in the literature. As an alternative to locally and sequentially optimal experiments, Bayesian designs are introduced for both model discrimination and parameter estimation.
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Wong, Chung-ho Richard. "Manipulating configurable architecture models using hierarchical structure /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B24733799.

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Books on the topic "Design models"

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Paolo, Orlandini, ed. Product design models. New York: Van Nostrand Reinhold, 1990.

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L, Johnson James. Database: Models, languages, design. New York: Oxford University Press, 1997.

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Coyne, Richard. Logic models of design. London: Pitman, 1988.

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Coyne, Richard. Logic models of design. London: Pitman, 1988.

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Bergé, Jean-Michel. Models in System Design. Boston, MA: Springer US, 1997.

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Bergé, Jean-Michel, Oz Levia, and Jacques Rouillard, eds. Models in System Design. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6295-5.

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University College Dublin. School of Architecture. Structures models. Dublin: University College Dublin, School of Architecture, 1998.

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Solomons, Stanley Nicholls. Conceptual models in industrial design. Leicester: Leicester Polytechnic, 1988.

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Burton, Richard M., and Børge Obel, eds. Design Models for Hierarchical Organizations. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2285-0.

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Rice, Iain. Layout design. Sparkford, Yeovil, Somerset: Haynes, 2010.

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Book chapters on the topic "Design models"

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Issa, Tomayess, and Pedro Isaias. "Models and Methodologies." In Sustainable Design, 87–143. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6753-2_6.

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Budgen, David. "Sketching Design Models." In Software Design, 109–18. Third edition. | Boca Raton : CRC Press, 2021. | Series: Chapman & Hall/CRC innovations in software engineering: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/b21883-11.

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Gullo, Louis J. "Reliability Models." In Design for Reliability, 53–65. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118310052.ch4.

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Christensen, Ronald. "Experimental Design Models." In Springer Texts in Statistics, 183–92. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2477-6_8.

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Christensen, Ronald. "Experimental Design Models." In Springer Texts in Statistics, 196–208. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21544-0_8.

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Gibbons, Andrew S., Elizabeth Boling, and Kennon M. Smith. "Instructional Design Models." In Handbook of Research on Educational Communications and Technology, 607–15. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3185-5_48.

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Branch, Robert Maribe, and Theodore J. Kopcha. "Instructional Design Models." In Handbook of Research on Educational Communications and Technology, 77–87. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3185-5_7.

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Christensen, Ronald. "Experimental Design Models." In Springer Texts in Statistics, 241–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32097-3_8.

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Christensen, Ronald. "Experimental Design Models." In Springer Texts in Statistics, 203–14. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9816-3_8.

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Christensen, Ronald. "Experimental Design Models." In Springer Texts in Statistics, 151–59. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4757-1951-2_8.

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Conference papers on the topic "Design models"

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Zaytsev, Vadim. "Language Design with Intent." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.16.

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Famelis, Michalis, and Marsha Chechik. "Managing Design-Time Uncertainty." In 2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.24.

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Famelis, Michalis, Julia Rubin, Krzysztof Czarnecki, Rick Salay, and Marsha Chechik. "Software Product Lines with Design Choices: Reasoning about Variability and Design Uncertainty." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.3.

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Ribeiro dos Santos, Cesar Augusto, Amr Hany Saleh, Tom Schrijvers, and Mike Nicolai. "CONDEnSe: Contract Based Design Synthesis." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00009.

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Ramadan, Qusai, Mattia Salnitriy, Daniel Struber, Jan Jurjens, and Paolo Giorgini. "From Secure Business Process Modeling to Design-Level Security 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.2017.10.

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Pilarski, Sebastian, Martin Staniszewski, Frederic Villeneuve, and Daniel Varro. "On Artificial Intelligence for Simulation and Design Space Exploration in Gas Turbine Design." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00029.

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Yoshioka, Masaharu, Masahiko Nakamura, Tetsuo Tomiyama, and Hiroyuki Yoshikawa. "A Design Process Model With Multiple Design Object Models." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0002.

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Abstract An intelligent CAD system is not merely a set of intelligent design tools, but rather it must be an intelligent, integrated design environment. This requests it must be equipped with a large scale knowledge base in which design knowledge is intensively and systematically stored. To do so, design knowledge must be systematically formalized, made computable, and organized. The present paper investigates fundamental issues of systematization of design knowledge. Design knowledge has two categories; i.e., design object knowledge and design process knowledge. In our previous reports, we have formalized a computable design process model to represent design process knowledge and the concept of metamodel dealing with multiple design object models. This paper proposes a framework to achieve harmonized combination of these two. In this framework, the computable design process model navigates the metamodel mechanism to generate and modify models of the design object. We describe a prototype system and illustrate an example of ship design.
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Liang, Yongqi, X. Rong Li, Chongzhao Han, and Zhansheng Duan. "Model-set design: Uniformly distributed models." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5399569.

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Nguyen, Phu H., Koen Yskout, Thomas Heyman, Jacques Klein, Riccardo Scandariato, and Yves Le Traon. "SoSPa: A system of Security design Patterns for systematically engineering secure systems." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338255.

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van der Sanden, Bram, Michel Reniers, Marc Geilen, Twan Basten, Johan Jacobs, Jeroen Voeten, and Ramon Schiffelers. "Modular model-based supervisory controller design for wafer logistics in lithography machines." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338273.

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Reports on the topic "Design models"

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Sudarsan, R., U. Roy, Y. Narahari, RD Sriram, K. W. Lyons, and N. Pramanik. Information models for design tolerancing:. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6524.

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Turner, Althea A. Mental Models and User-Centered Design. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada227587.

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Hedayat, A. Design of Experiments and Reliability Models. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada174736.

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Tadmor, Gilead. Design Models and Model Based Design in Fluid Flow With Application to Micro Air Vehicles. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada572450.

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Potts Steves, Michelle, Simon Frechette, John T. Foreman, and William B. Anderson. Viewing Technologies for Computer-Aided Design Models. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada418350.

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Constable, Robert L. Active Models in Support of Collaborative Design. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada389712.

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Dvorkin, Leonid. Design of hydraulic concrete compositions design with use of experimental-statistic models. PІDVODNІ TEHNOLOGІЇ, June 2019. http://dx.doi.org/10.31493/uwt1909.1801.

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Dvorak, George J. Models for Damage-Resistant Design of Composite Structures. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada414027.

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Woodroofe, Michael. The Adaptive Design of Experiments and Markovian Models. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada414376.

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Niederer, J. Particle Beam Control Design Notes for Neural Models. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/1151384.

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