Letteratura scientifica selezionata sul tema "Dose Computation"

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Articoli di riviste sul tema "Dose Computation"

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Knöös, T. "3D dose computation algorithms." Journal of Physics: Conference Series 847 (May 2017): 012037. http://dx.doi.org/10.1088/1742-6596/847/1/012037.

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Battista, J., J. Chen, S. Sawchuk, and G. Hajdok. "Evolution of 3D X-Ray Dose Computation Algorithms." Journal of Physics: Conference Series 2630, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1742-6596/2630/1/012008.

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Abstract Radiation treatment planning of individual cancer patients relies on the accurate computation of dose distributions in irradiated tissue. Inaccurate dose maps have the potential to mislead clinical decision-making and compromise the balance between effective tumour control and side effects in surrounding normal tissue. In the context of this conference, 3D dosimetry is important for the experimental validation of computed dose distributions. Dose computation methods for external beams of high energy x rays have evolved over the past decade with computer simulation models more closely
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Cutanda Henríquez, Francisco, and Silvia Vargas Castrillón. "Confidence intervals in dose volume histogram computation." Medical Physics 37, no. 4 (2010): 1545–53. http://dx.doi.org/10.1118/1.3355888.

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Laub, W., M. Alber, M. Birkner, and F. Nüsslin. "Monte Carlo dose computation for IMRT optimization*." Physics in Medicine and Biology 45, no. 7 (2000): 1741–54. http://dx.doi.org/10.1088/0031-9155/45/7/303.

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Tang, Man-Lai, Karim F. Hirji, and Stein E. Vollset. "Exact power computation for dose—response studies." Statistics in Medicine 14, no. 20 (1995): 2261–72. http://dx.doi.org/10.1002/sim.4780142009.

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Sandison, G. A., and L. S. Papiez. "Dose computation applications of the electron loss model." Physics in Medicine and Biology 35, no. 7 (1990): 979–97. http://dx.doi.org/10.1088/0031-9155/35/7/013.

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Mohan, R., C. Chui, and L. Lidofsky. "Differential pencil beam dose computation model for photons." Medical Physics 13, no. 1 (1986): 64–73. http://dx.doi.org/10.1118/1.595924.

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Siebert, Frank-André, Ping Jiang, Rene Baumann, et al. "Dose Computation of Keloids in Brachytherapy: Tg-43 or Model-Based-Dose-Calculation?" Brachytherapy 15 (May 2016): S149. http://dx.doi.org/10.1016/j.brachy.2016.04.262.

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Dray, Nicolas, Nicolas Mary, Cédric Dossat, Jefferson Bourgoin, and Nathalie Chatry. "An overview of last decade’s developments in RayXpert®, a 3D Monte Carlo code." EPJ Nuclear Sciences & Technologies 10 (2024): 10. http://dx.doi.org/10.1051/epjn/2024013.

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This article provides an overview of the developments made over the last 10 years within RayXpert®, a CAD-based geometry 3D Monte Carlo software developed by TRAD – Tests & Radiations. The main features of RayXpert® are its 3D Monte Carlo engine and its CAD-based geometry. It is also possible to import STEP file, automatically detect overlaps, and perform parallel Monte Carlo computations. During the last 10 years, numerous new features were added to the software: TTB approximation, dose and flux mapping, computation resumption, radioactive decay computation, script support, MPI computatio
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Panitsa, E., J. C. Rosenwald, and C. Kappas. "Developing a dose-volume histogram computation program for brachytherapy." Physics in Medicine and Biology 43, no. 8 (1998): 2109–21. http://dx.doi.org/10.1088/0031-9155/43/8/009.

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Tesi sul tema "Dose Computation"

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Jung, Haejae. "Algorithms for external beam dose computation." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5955/etd.pdf.

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Thesis (Ph. D.)--University of Florida, 2000.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 143 p.; also contains graphics. Vita. Includes bibliographical references (p. 140-142).
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Fox, Timothy Harold. "Computation and optimization of dose distributions for rotational stereotactic radiosurgery." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/32843.

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Inacio, Eloïse. "Méthodes numériques en imagerie médicale pour l'évaluation de dose per-opératoire en ablation par électroporation." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0474.

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Alors que l’espérance de vie augmente, le cancer est devenu l’une des principales causes de décès dans le monde. Parmi les cancers les plus difficiles à traiter figurent les tumeurs profondes, qui sont compliquées à soigner en raison de leur emplacement près de structures vitales dans des organes tels que le foie ou le pancréas. Une méthode prometteuse pour traiter ces tumeurs est l’ablation par électroporation, qui utilise des champs électriques pour créer des pores dans les membranes des cellules tumorales. Lorsqu’ils sont appliqués à haute intensité, cela entraîne une électroporation irréve
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Vautrin, Mathias. "Planification de traitement en radiothérapie stéréotaxique par rayonnement synchrotron. Développement et validation d'un module de calcul de dose par simulations Monte Carlo." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00641325.

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La radiothérapie stéréotaxique par rayonnement synchrotron (SSRT) est une technique innovanteutilisant un faisceau synchrotron de rayons X monochromatiques entre 50 et 100 keV. Une augmentationde dose par prise de contraste est obtenue localement par effet photoélectrique sur unélément lourd injecté dans le volume cible (tumeur cérébrale). Des essais cliniques de SSRT sont encours de préparation à l'ESRF (établissement européen de rayonnement synchrotron). Un systèmede planification de traitement (TPS) est nécessaire pour le calcul de l'énergie déposée au patient(dose) pendant le traitement. U
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Nygren, Nelly. "Optimization of the Gamma Knife Treatment Room Design." Thesis, KTH, Fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300904.

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Radiation shielding is a central part of the design of treatment rooms for radiation therapy systems. The dose levels that medical staff and members of the public can be exposed to outside the treatment rooms are regulated by authorities and influence the required wall thicknesses and possible locations for the systems. Several standard methods exist for performing shielding calculations, but they are not well adapted to the stereotactic radiosurgery system Leksell Gamma Knife because of its self-shielding properties. The built-in shielding makes the leakage radiation anisotropic and generally
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Morén, Björn. "Mathematical Modelling of Dose Planning in High Dose-Rate Brachytherapy." Licentiate thesis, Linköpings universitet, Optimeringslära, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154966.

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Cancer is a widespread type of diseases that each year affects millions of people. It is mainly treated by chemotherapy, surgery or radiation therapy, or a combination of them. One modality of radiation therapy is high dose-rate brachytherapy, used in treatment of for example prostate cancer and gynecologic cancer. Brachytherapy is an invasive treatment in which catheters (hollow needles) or applicators are used to place the highly active radiation source close to or within a tumour. The treatment planning problem, which can be modelled as a mathematical optimization problem, is the topic of t
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Aspradakis, Maria M. "A study to assess and improve dose computations in photon beam therapy." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/21334.

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This thesis is concerned with the calculation of dose at a point for megavoltage photon therapy. The review of dose calculation algorithms provides a comprehensive and critical analysis of the models developed to date. Emphasis is given to the dimensionality of density information utilised by these algorithms in relation to their capability of producing accurate dose information in three dimensions. Two applications of the Monte Carlo method to radiotherapy have been studied. Namely, the generation of energy deposition kernels (EDK) and the use of the method as a benchmarking tool. EDKs repres
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OLIVEIRA, JUNIOR Wilson Rosa de. "Turing´s analysis of computation and artificial neural network." Universidade Federal de Pernambuco, 2004. https://repositorio.ufpe.br/handle/123456789/1970.

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Made available in DSpace on 2014-06-12T15:53:32Z (GMT). No. of bitstreams: 2 arquivo5203_1.pdf: 2427628 bytes, checksum: b7e101175fb8c6dac688a04de83a3303 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2004<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Inspirado por uma sugestão de McCulloch e Pitts em seu trabalho pioneiro, uma simulação de Máquinas de Turing (MT) por Redes Neurais Artifiais (RNAs) apresentada. Diferente dos trabalhos anteriores, tal simulação está de acordo com a interpretação correta da análi
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Palit, Robin. "Computational Tools and Methods for Objective Assessment of Image Quality in X-Ray CT and SPECT." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/268492.

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Computational tools of use in the objective assessment of image quality for tomography systems were developed for computer processing units (CPU) and graphics processing units (GPU) in the image quality lab at the University of Arizona. Fast analytic x-ray projection code called IQCT was created to compute the mean projection image for cone beam multi-slice helical computed tomography (CT) scanners. IQCT was optimized to take advantage of the massively parallel architecture of GPUs. CPU code for computing single photon emission computed tomography (SPECT) projection images was written calli
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Moura, Augusto Fontan. "A computational study of the airflow at the intake region of scramjet engines." Instituto Tecnológico de Aeronáutica, 2014. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2973.

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This work is part of the research and development, at the Institute for Advanced Studies (IEAv), of the first Brazilian hypersonic vehicle prototype, the 14-X airplane. As this vehicle will be propelled by scramjet (supersonic combustion ramjet) engines, this work presents detailed two-dimensional CFD analyses of the airflow in the intake system of such engines based on the 14-XB scramjet geometry and the expected flight conditions. The main objective is to study the airflow in the intake of the 14-XB at nominal flight condition and also for some off-design flight conditions and geometry using
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Libri sul tema "Dose Computation"

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D, Sawant Pramilla, and Bhabha Atomic Research Centre, eds. Manual on internal dose computation and reporting. Bhabha Atomic Research Centre, 1999.

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United States. Defense Nuclear Agency, ed. FIIDOS--a computer code for the computation of fallout inhalation and ingestion dose to organs: Computer user's guide. Defense Nuclear Agency, 1985.

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1957-, Jackson Thomas L., and Joslin R. D. 1963-, eds. Theory and computation in hydrodynamic stability. Cambridge University Press, 2003.

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1934-, Jameson Antony, Caughey D. A, and Hafez M. M, eds. Frontiers of computational fluid dynamics 1994. Wiley, 1994.

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1940-, Jäger W., Rannacher Rolf, and Warnatz J, eds. Reactive flows, diffusion and transport: From experiments via mathematical modeling to numerical simulation and optimization : final report of SFB (Collaborative Research Center) 359. Springer, 2007.

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Chakrabarti, Anirban. Grid computing security. Springer, 2010.

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Tuncer, Cebeci, ed. Computational fluid dynamics for engineers: From panel to Navier-Stokes methods with computer programs. Horizons Pub. Inc., 2005.

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Battista, Jerry. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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Battista, Jerry. Introduction to Megavoltage X-Ray Dose Computation Algorithms. Taylor & Francis Group, 2019.

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Capitoli di libri sul tema "Dose Computation"

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Rosenwald, J. C. "Framework for Computation of Patient Dose Distribution." In Handbook of Radiotherapy Physics, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9780429201493-33.

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Do, Synho, Janne J. Näppi, and Hiroyuki Yoshida. "Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography." In Abdominal Imaging. Computation and Clinical Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41083-3_12.

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Laub, W., M. Alber, M. Birkner, and F. Nüsslin. "IMRT with Monte Carlo dose computation: what is the benefit?" In The Use of Computers in Radiation Therapy. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_160.

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Nahum, Alan, and J. C. Rosenwald. "Monte-Carlo and Grid-Based-Deterministic Models for Patient Dose Computation." In Handbook of Radiotherapy Physics, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9780429201493-36.

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Abdennhader, Nabil, Mohamed Ben Belgacem, Raphaël Couturier, et al. "Gridification of a Radiotherapy Dose Computation Application with the XtremWeb-CH Environment." In Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20754-9_20.

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Kim, Chang-Won, Jong-Hyo Kim, Hyunna Lee, et al. "Application of Synthetic Sinogram Based Low-Dose CT Simulation and Fold-Preserving Electronic Cleansing Technique for CT Colonography." In Abdominal Imaging. Computation and Clinical Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41083-3_11.

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To, Karen CY, and K. Scott Brimble. "Factors Affecting Peritoneal Dialysis Dose." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-27558-6_15.

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Uhlin, Fredrik, and Ivo Fridolin. "Optical Monitoring of Dialysis Dose." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-27558-6_3.

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Salvador, Ricardo, Dennis Q. Truong, Marom Bikson, Alexander Opitz, Jacek Dmochowski, and Pedro C. Miranda. "Role of Computational Modeling for Dose Determination." In Practical Guide to Transcranial Direct Current Stimulation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95948-1_9.

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Bruda, Stefan D., and Mary Sarah Ruth Wilkin. "Emergence in Context-Free Parallel Communicating Grammar Systems: What Does and Does not Make a Grammar System More Expressive Than Its Parts." In Emergent Computation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46376-6_8.

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Atti di convegni sul tema "Dose Computation"

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Guadagni, Ettore, Yannick Pénéliau, Jean Létang, François-Xavier Hugot, and Cindy Loirec. "A Hybrid Deterministic-Stochastic Method for the Calculation of Dose Rate in Reactor Dismantling Operations." In Mathematics and Computation 2021. American Nuclear Society, 2021. https://doi.org/10.13182/xyz-33632.

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Tani, A. A., J. M. Norberto, M. R. da Silva, and A. Durand-Petiteville. "Automated computation of cutting paths for unit-dose repackaging of pharmaceutical blister packs." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711355.

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Kuhn, Alexander, Benjamin Kutz, Tobias Günther, and Andreas Rumpf. "Numerical Examination of a Model Rotor in Brownout Conditions." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9437.

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In the present study a flow simulation of a rotor hovering in ground effect was performed and compared to an experimental study from literature. Different reconstruction schemes in the finite volume flow solver were employed, leading to a computation of second and fifth order accuracy in space. The higher order computation was also performed on different grids with six and 23 million grid cells. The integral simulation values were compared to the experimental results and other literature, showing good agreement. Further on, the vortex conservation of the several schemes was compared. The highe
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Yu, Wei, Xiaolin Wang, Nan Qin, et al. "Low-dose CT image processing based on controllable residual U-shaped network." In 2024 International Applied Computational Electromagnetics Society Symposium (ACES-China). IEEE, 2024. http://dx.doi.org/10.1109/aces-china62474.2024.10699581.

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Barbour, Robert, David Corne, and John McCall. "Accelerated optimisation of chemotherapy dose schedules using fitness inheritance." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586118.

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Wang, Dongmei, Yiwen Liang, Chengyu Tan, Hongbin Dong, and Xinmin Yang. "Pathogen dose based natural killer cell algorithm for classification." In GECCO '21: Genetic and Evolutionary Computation Conference. ACM, 2021. http://dx.doi.org/10.1145/3449726.3459434.

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Witten, Matthew, and Owen Clancey. "An evolutionary algorithm for optimization of affine transformation parameters for dose matrix warping in patient-specific quality assurance of radiotherapy dose distributions." In 2012 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2012. http://dx.doi.org/10.1109/cec.2012.6256139.

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Tao, Yanyun, Yuzhen Zhang, and Bin Jiang. "Evolutionary learning-based modeling for warfarin dose prediction in Chinese." In GECCO '17: Genetic and Evolutionary Computation Conference. ACM, 2017. http://dx.doi.org/10.1145/3067695.3082492.

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Connor, Mark, and Michael O'Neill. "Optimizing the parameters of a physical exercise dose-response model." In GECCO '21: Genetic and Evolutionary Computation Conference. ACM, 2021. http://dx.doi.org/10.1145/3449726.3459494.

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Witten, Matthew, and Owen Clancey. "Residual dose deviation differential histogram analysis using evolutionary-optimized transform parameters for dose distribution warping in patient-specific quality assurance in external beam radiation therapy." In 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017. http://dx.doi.org/10.1109/cec.2017.7969506.

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Rapporti di organizzazioni sul tema "Dose Computation"

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Breazeal, N. L., K. R. Davis, R. A. Watson, D. S. Vickers, and M. S. Ford. Simulation-based computation of dose to humans in radiological environments. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/206637.

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Dudley A, III Egbert, John H. Case Stephen D. Stiver, and Raine David. FIIDOS--A Computer Code for the Computation of Fallout Inhalation and Ingestion Dose to Organs Computer User's Guide (Revision 4). Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada469466.

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Rittmann, P. D. Emergency Doses (ED) - Revision 3: A calculator code for environmental dose computations. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6040411.

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Scott, Bobby, R., Ph.D. Advanced Computational Approaches for Characterizing Stochastic Cellular Responses to Low Dose, Low Dose Rate Exposures. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/812039.

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Marcath, Matthew, Douglas Mayo, Joshua Spencer, Tucker McClanahan, and Lucas Hetrick. Evaluation of Attila and MCNP computational methods for dose and exposure estimation. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1821360.

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Author, Not Given. DOE National Laboratories' Computational Facilities - Research Workshop Report. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1601798.

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Peñaloza, Rafael, and Anni-Yasmin Turhan. Completion-based computation of least common subsumers with limited role-depth for EL and Prob-EL⁰¹. Technische Universität Dresden, 2010. http://dx.doi.org/10.25368/2022.175.

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The least common subsumer (lcs) w.r.t general EL-TBoxes does not need to exists in general due to cyclic axioms. In this report we present an algorithm for computing role-depth bounded EL-lcs based on the completion algorithm for EL. We extend this computation algorithm to a recently introduced probabilistic variant of EL: Prob-EL⁰¹.
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Napier, B. A. Computational model design specification for Phase 1 of the Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5582525.

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McDougall, Robert. A New Regional Household Demand System for GTAP. GTAP Technical Paper, 2002. http://dx.doi.org/10.21642/gtap.tp20.

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The GTAP model, versions 4.1 and lower, suffers from some defects in the implementation of the regional household demand system. Most seriously, the upper level of the demand system assumes that each regional household faces a fixed price for utility from private consumption. But with a private consumption demand system of the CDE form, the price of utility from private consumption depends on the level of private consumption expenditure. With no fixed price for utility from private consumption, the familiar Cobb-Douglas demand system does not apply. Accordingly, the upper-level demand equation
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Wallace, Susan S. DOE EPSCoR Initiative in Structural and computational Biology/Bioinformatics. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/924036.

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