Relevant bibliographies by topics / Distributions de dose

Contents

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

Academic literature on the topic 'Distributions de dose'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Distributions de dose"

1

Beckett, Craig, and Peter Dickof. "Mapping dose distributions." Medical Physics 25, no. 10 (1998): 1944–53. http://dx.doi.org/10.1118/1.598384.

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Dutreix, Andree. "3D Dose Distributions." Journal of Medical Physics 11, no. 3 (1986): 166. http://dx.doi.org/10.4103/0971-6203.50340.

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Pike, G. Bruce, Ervin B. Podgorsak, Terence M. Peters, Conrado Pla, André Olivier, and Luis Souhami. "Dose distributions in radiosurgery." Medical Physics 17, no. 2 (1990): 296–304. http://dx.doi.org/10.1118/1.596508.

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Placidi, Lorenzo, Eliana Gioscio, Cristina Garibaldi, et al. "A Multicentre Evaluation of Dosiomics Features Reproducibility, Stability and Sensitivity." Cancers 13, no. 15 (2021): 3835. http://dx.doi.org/10.3390/cancers13153835.

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Dosiomics is a texture analysis method to produce dose features that encode the spatial 3D distribution of radiotherapy dose. Dosiomic studies, in a multicentre setting, require assessing the features’ stability to dose calculation settings and the features’ capability in distinguishing different dose distributions. Dose distributions were generated by eight Italian centres on a shared image dataset acquired on a dedicated phantom. Treatment planning protocols, in terms of planning target volume coverage and dose–volume constraints to the organs at risk, were shared among the centres to produc
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Low, Daniel A., Delphine Morele, Philip Chow, Tai H. Dou та Tao Ju. "Does the γ dose distribution comparison technique default to the distance to agreement test in clinical dose distributions?" Medical Physics 40, № 7 (2013): 071722. http://dx.doi.org/10.1118/1.4811141.

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Bak, Jino, Jin Hwa Choi, Jae-Sung Kim, and Suk Won Park. "Modified dose difference method for comparing dose distributions." Journal of Applied Clinical Medical Physics 13, no. 2 (2012): 73–80. http://dx.doi.org/10.1120/jacmp.v13i2.3616.

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Vaas, L. H., R. O. Blaauboer, and H. P. Leenhouts. "Radiation Sources, Doses and Dose Distributions in the Netherlands." Radiation Protection Dosimetry 36, no. 2-4 (1991): 89–92. http://dx.doi.org/10.1093/oxfordjournals.rpd.a080974.

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Vaas, L. H., R. O. Blaauboer, and H. P. Leenhouts. "Radiation Sources, Doses and Dose Distributions in the Netherlands." Radiation Protection Dosimetry 36, no. 2-4 (1991): 89–92. http://dx.doi.org/10.1093/rpd/36.2-4.89.

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Keall, P., S. Zavgorodni, L. Schmidt, and D. Haskard. "Improving wedged field dose distributions." Physics in Medicine and Biology 42, no. 11 (1997): 2183–92. http://dx.doi.org/10.1088/0031-9155/42/11/013.

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Cross, W. G., J. Böhm, M. Charles, E. Piesch, and S. M. Seltzer. "6. Calculation of Dose Distributions." Journal of the International Commission on Radiation Units and Measurements os29, no. 1 (1997): 18–32. http://dx.doi.org/10.1093/jicru/os29.1.18.

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Dissertations / Theses on the topic "Distributions de dose"

1

Öström, Linn. "Post-processingof Monte Carlo calculated dose distributions." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244314.

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This Master Thesis focuses on denoising of Monte Carlo calculated dose distributions of radiosurgery treatment plans. The objective of this project is to implement a Denoising Autoencoder (DAE) and investigate its denoising performance when it has been trained on Monte Carlo calculated dose distributions generated with lower number of photon showers. The DAE is trained in a supervised setting to learn the mapping between corrupted observations and clean ones. The questions this thesis aims to answer are: (i) Can a DAE be used to denoise Monte Carlo calculated dose distributions, and thus predi
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Milette, Marie-Pierre. "Direct optimization of 3D dose distributions using collimator rotation." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/274.

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The primary goal of this thesis is to improve the precision and efficiency of radiation therapy treatment. This goal is achieved by developing and implementing a direct aperture optimization (DAO) platform where the multileaf collimator (MLC) is rotated between each aperture. The approach is referred to as rotating aperture optimization (RAO). A series of tests is performed to evaluate how a final optimized plan depends on MLC parameters. Imposing constraints on the leaf sequence results in increased efficiency and a simplification of the treatment plan without compromising the quality of the
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Nilsson, Viktor. "Prediction of Dose Probability Distributions Using Mixture Density Networks." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273610.

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In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. The utility lies in relieving clinical staff from the labor of manually or semi-manually creating such plans. Rather than predicting a deterministic plan, there is great value in modeling it stochastically, i.e. predicting a probability distribution of dose from CT-scans and delineated biological structures. The stochasticity inherent in the RT trea
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Tozer-Loft, Stephen M. "Dose volume analysis in brachytherapy and stereotactic radiosurgery." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366100.

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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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South, Christopher Peter. "The use of functional imaging to design optimal radiotherapy dose distributions." Thesis, Institute of Cancer Research (University Of London), 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538528.

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CECILIO, PAULO J. "Implementacao e aceite de sistema de radioterapia de feixe modulado dinamico com o uso de colimador secundario de multiplas folhas." reponame:Repositório Institucional do IPEN, 2008. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11757.

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Made available in DSpace on 2014-10-09T12:55:29Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:06:01Z (GMT). No. of bitstreams: 0<br>Tese (Doutoramento)<br>IPEN/T<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
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Rowbottom, Carl Graham. "Optimisation of beam-orientations in conformal radiotherapy treatment planning." Thesis, Institute of Cancer Research (University Of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314088.

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Doucet, Robert. "Experimental verification of Monte Carlo calculated dose distributions for clinical electron beams." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33750.

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Current electron beam treatment planning algorithms are inadequate to calculate dose distributions in heterogeneous phantoms. Fast Monte Carlo algorithms are accurate in general but their clinical implementation needs validation. Calculations of electron beam dose distributions performed using the fast Monte Carlo system XVMC and the well-benchmarked general-purpose Monte Carlo code EGSnrc were compared with measurements. Irradiations were performed using the 9 MeV and 15 MeV beams from the Clinac 18 accelerator with standard conditions. Percent depth doses and lateral profiles were measured w
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Hellström, Terese. "Deep-learning based prediction model for dose distributions in lung cancer patients." Thesis, Stockholms universitet, Fysikum, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-196891.

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Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. However, to assess the benefit of proton therapy compared to photon therapy, it is necessary to make both treatment plans to get information about the Tumour Control Probability (TCP) and the Norm
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Books on the topic "Distributions de dose"

1

National Council on Radiation Protection and Measurements. Conceptual basis for calculations of absorbed-dose distributions: Recommendations. National Council on Radiation Protection and Measurements, 1991.

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Aydarous, Abdulkadir Sheikh. Development of imaging techniques for determining dose distributions around discrete radioactive particles found in the environment. University of Birmingham, 2003.

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A, Kosunen, and Säteilyturvakeskus (Finland), eds. Intercomparison of radiotherapy treatment planning systems using calculated and measured dose distributions for external photon and electron beams. Finnish Centre for Radiation and Nuclear Safety, 1991.

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United States. Food and Drug Administration, ed. Pharmacokinetics: Guidance for repeated dose tissue distribution studies. U.S. Dept. of Health and Human Services, Public Health Service, Food and Drug Administration, 1995.

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Mulé, Rosa. Does democracy promote equality?. LIS, 1998.

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Canadian Society of Hospital Pharmacists., ed. Working paper on unit dose-IV additive drug distribution system. Canadian Society of Hospital Pharmacists, 1989.

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Shea, John. Does parents' money matter? National Bureau of Economic Research, 1997.

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Ramachandran, T. V., of Environmental Assessment Division, Bhabha Atomic Research Centre. and Bhabha Atomic Research Centre, eds. Radon-thoron levels and inhalation dose distribution patterns in Indian dwellings. Bhabha Atomic Research Centre, 2003.

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Chmielewski, Andrzej G. Dose distribution effect on optimal geometry for industrial flue gas treatment system. Institute of Nuclear Chemistry and Technology, 1998.

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Rutgers University. Center for Urban Policy Research, ed. Does economic development "cause" regional inequality? Center for Urban Policy Research, Rutgers, the State University of New Jersey, 1996.

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Book chapters on the topic "Distributions de dose"

1

Westerly, David, and Moyed Miften. "Quantifying Differences in Dose Distributions." In Clinical 3D Dosimetry in Modern Radiation Therapy. CRC Press, 2017. http://dx.doi.org/10.1201/9781315118826-14.

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Perucha, M., F. Sánchez-Doblado, A. Leal, et al. "Monte Carlo Dose Distributions for Radiosurgery." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_89.

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Nishio, Teiji, and Aya Nishio-Miyatake. "Visualization of Dose Distributions for Proton." In Image-Based Computer-Assisted Radiation Therapy. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2945-5_13.

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Pfaender, Mathias, Gerhard Grebe, Julia Ahlswede, et al. "Concave Dose Distributions in Dynamic Arc Radiosurgery." In The Use of Computers in Radiation Therapy. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_152.

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Mavroidis, P., B. Costa Ferreira, N. Papanikolaou, R. Svensson, B. K. Lind, and A. Brahme. "Radiobiological analysis of planned and delivered IMRT dose distributions." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03474-9_107.

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Reft, Chester. "Point Detectors for Determining and Verifying 3D Dose Distributions." In Clinical 3D Dosimetry in Modern Radiation Therapy. CRC Press, 2017. http://dx.doi.org/10.1201/9781315118826-4.

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Kortesniemi, Mika, Antti Kosunen, Carita Aschan, et al. "Measurements of Phantom Dose Distributions at the Finnish BNCT Facility." In Frontiers in Neutron Capture Therapy. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1285-1_95.

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Marks, Lawrence B. "Radiosurgery Dose Distributions: Theoretical Impact of Inhomogeneities on Lesion Control." In Advances in Radiosurgery. Springer Vienna, 1994. http://dx.doi.org/10.1007/978-3-7091-9371-6_4.

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Becker, G., R. Lohrum, T. Werner, et al. "Presentation and Evaluation of 3D Dose Distributions in Radiotherapy Planning." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_45.

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Nguyen, Dan, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, and Steve Jiang. "Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32226-7_7.

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Conference papers on the topic "Distributions de dose"

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Orji, Martina P., Kyle Williams, Jonathan Troville, Swetadri Vasan Setlur Nagesh, Stephen Rudin, and Daniel R. Bednarek. "Investigation of the effect of training set parameters on deep neural network prediction accuracy of fluoroscopic procedure-room scatter dose distributions." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3046512.

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Oldham, Mark, Leonard Kim, and Geoffrey Hugo. "Optical-CT imaging of complex 3D dose distributions." In Medical Imaging, edited by Michael J. Flynn. SPIE, 2005. http://dx.doi.org/10.1117/12.595525.

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Ávila-Rodrı́guez, M. A. "Experimental measurements of spatial dose distributions in radiosurgery treatments." In MEDICAL PHYSICS: Fifth Mexican Symposium. AIP, 2001. http://dx.doi.org/10.1063/1.1420475.

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Zhou, Chuanyu. "Computational determination of absorbed dose distributions from gamma ray sources." In The 27th annual review of progress in quantitative nondestructive evaluation. AIP, 2001. http://dx.doi.org/10.1063/1.1373803.

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Brynkevich, A. I., M. N. Piatkevich, and E. V. Titovich. "CRITERIA FOR EVALUATION OF DOSIMETRIC VERIFICATION OF RADIOTHERAPY HIGH-TECH TREATMENT PLANS FOR CANCER PATIENTS." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2021. http://dx.doi.org/10.46646/sakh-2021-2-252-255.

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To test the effectiveness of the dose delivery system of the treatment plan in intensity modulated radiation therapy, quality assurance systems are used. The main tool for verifying the correspondence between the reference and the estimated dose distribution is Y—indexing. In the process of Y—analysis of individual dose distributions, both point dose values and geometrical offset between the reference and delivered distributions are evaluated. To check the compliance of dose distributions, the concepts of action limits and tolerances are used. The action limits are defined as the total percent
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Cucinotta, Francis A., Robert Katz, John W. Wilson, and Rajendra R. Dubey. "Radial dose distributions in the delta-ray theory of track structure." In Two−center effects in ion−atom collisions: A symposium in honor of M. Eugene Rudd. AIP, 1996. http://dx.doi.org/10.1063/1.50083.

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Diederich, Chris J., William H. Nau, Frank Kleinstueck, Jeff Lotz, and David Bradford. "IDTT therapy in cadaveric lumbar spine: temperature and thermal dose distributions." In BiOS 2001 The International Symposium on Biomedical Optics, edited by Thomas P. Ryan. SPIE, 2001. http://dx.doi.org/10.1117/12.427849.

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Almaraz, S. "Dose distributions in prostate brachytherapy: comparison between Sievert and Monte Carlo methods." In MEDICAL PHYSICS: Seventh Mexican Symposium on Medical Physics. AIP, 2003. http://dx.doi.org/10.1063/1.1615110.

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Lee, Tzu-Cheng, Ruoqiao Zhang, Adam M. Alessio, Lin Fu, Bruno De Man, and Paul E. Kinahan. "Statistical distributions of ultra-low dose CT sinograms and their fundamental limits." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2254375.

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Zhou, Chuanyu. "Computational determination of absorbed dose distributions from multiple volumetric gamma ray sources." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2002. http://dx.doi.org/10.1063/1.1472852.

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Reports on the topic "Distributions de dose"

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Napier, B. A., W. T. Farris, and J. C. Simpson. Determination of dose distributions and parameter sensitivity. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7062146.

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Napier, B. A., W. T. Farris, and J. C. Simpson. Determination of dose distributions and parameter sensitivity. Hanford Environmental Dose Reconstruction Project; dose code recovery activities; Calculation 005. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10116712.

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Rakhno, Igor, and Igor Tropin. Accident Scenarios for IOTA Ring and Dose Distributions Calculated with MARS15 Code. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1469001.

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Kamboj, S., C. Yu, and J. Rabovsky. Potential dose distributions at proposed surface radioactvity clearance levels resulting from occupational scenarios. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1021328.

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Wilson, W. E., and W. D. Jr Reece. Calculation of percentile-distance ratios and scaled absorbed-dose distributions for 0. 05- to 30-keV primary electrons. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6040610.

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Awschalom, M., and R. K. T. Haken. Dependence of charge collection distributions and dose on the gas type filling the ionization chamber for a p(66)Be(49) clinical neutron beam. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5345986.

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Awschalom, Miguel, and R. Ten Haken. Dependence of Charge Collection Distributions and Dose of the Gas Type Filling the Ionization Chamber for a p(66)-Be(49) Clinical Neutron Beam. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/1156255.

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Schimmel, J. G., and D. M. Beck. Milk production and distribution in low-dose counties for the Hanford Thyroid Disease Study. Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10159360.

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Deonigi, D. E., D. M. Anderson, and G. L. Wilfert. Commercial milk distribution profiles and production locations. Hanford Environmental Dose Reconstruction Project. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10153894.

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Verma, Monika, Thomas Hertel, and Paul Preckel. Predicting Within Country Household Food Expenditure Variation Using International Cross-Section Estimates. GTAP Working Paper, 2009. http://dx.doi.org/10.21642/gtap.wp57.

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There is a long and distinguished literature involving demand analysis using international cross-section data. Such models are widely used for predicting national per capita consumption. However, there is nothing in this literature testing the performance of estimated models in predicting demands across the income spectrum within a single country. This paper fills the gap. We estimate an AIDADS model using cross-section international per capita data, and find that it does well in predicting food demand across the income distribution within Bangladesh. This suggests that there may be considerab
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