Academic literature on the topic 'Dose coefficients'
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Journal articles on the topic "Dose coefficients"
Killough, George G., and Paul S. Rohwer. "14C DOSE COEFFICIENTS." Health Physics 90, no. 3 (March 2006): 273–75. http://dx.doi.org/10.1097/00004032-200603000-00011.
Full textSchultz, F. W., and J. Zoetelief. "Dose conversion coefficients for interventional procedures." Radiation Protection Dosimetry 117, no. 1-3 (December 1, 2005): 225–30. http://dx.doi.org/10.1093/rpd/nci753.
Full textVeinot, K. G., N. E. Hertel, M. M. Hiller, and K. F. Eckerman. "Neutron dose coefficients for local skin." Journal of Radiological Protection 40, no. 2 (May 13, 2020): 554–82. http://dx.doi.org/10.1088/1361-6498/ab805e.
Full textVargo, George J. "The ICRP Database of Dose Coefficients." Health Physics 78, no. 3 (March 2000): 343. http://dx.doi.org/10.1097/00004032-200003000-00015.
Full textDubeau, J., and J. Sun. "ELECTRON EYE-LENS OPERATIONAL DOSE COEFFICIENTS." Radiation Protection Dosimetry 188, no. 3 (January 30, 2020): 372–77. http://dx.doi.org/10.1093/rpd/ncz295.
Full textKanti, Hassan Al, Otman El Hajjaji, Tarek El Bardouni, and Maged Mohammed. "Neutron conversion coefficients of ambient dose equivalent and personal dose equivalent." Polish Journal of Medical Physics and Engineering 28, no. 1 (March 1, 2022): 52–59. http://dx.doi.org/10.2478/pjmpe-2022-0006.
Full textOpreanu, Razvan C., Ranji Samaraweera, and John P. Kepros. "Effective Dose to Dose-Length Product Coefficients for Calculation of CT Effective Dose." Radiology 252, no. 1 (July 2009): 315–16. http://dx.doi.org/10.1148/radiol.2521090245.
Full textMares, V., and G. Leuthold. "Altitude-dependent dose conversion coefficients in EPCARD." Radiation Protection Dosimetry 126, no. 1-4 (May 13, 2007): 581–84. http://dx.doi.org/10.1093/rpd/ncm118.
Full textKhursheed, A. "Uncertainties in Dose Coefficients for Systemic Plutonium." Radiation Protection Dosimetry 78, no. 2 (July 2, 1998): 121–26. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032342.
Full textPhipps, A. W., T. J. Silk, and T. P. Fell. "The ICRP CD-ROM of Dose Coefficients." Radiation Protection Dosimetry 79, no. 1 (October 1, 1998): 363–65. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032427.
Full textDissertations / Theses on the topic "Dose coefficients"
Finklea, Lauren. "Room radiation dose coefficients for external exposure." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53943.
Full textLarsson, Ylva. "Establishing low-energy x-ray fields and determining operational dose equivalent conversion coefficients." Thesis, Stockholm University, Medical Radiation Physics (together with KI), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8319.
Full textReference radiation fields for x-ray qualities are described by the International Organization of Standards (ISO). This study describes the procedure to establish nine different low energy X-ray qualities at the national metrology laboratory, Swedish Radiation Protection Authority, following the document ISO 4037. Measurements of tube voltage, half-value layer, mean energy and spectral resolution have been performed for qualities N-15, N-20, N-25, N-30, N-40, L-20, L-30, L-35 and L-55. Furthermore, dose equivalent conversion coefficients for operational quantities ambient dose equivalent, personal dose equivalent and directional dose equivalent have been calculated by folding the mono-energetic conversion factors with measured spectral distributions of the x-ray qualities. The spectral distributions were unfolded from pulse-height distributions to photon distributions using simulated data of the semi-conductor detector used for measurements, generated with the Monte Carlo code PENELOPE.
Nielsen, Adam Derek. "Monte Carlo calculation of fluence-to-ambient dose equivalent conversion coefficients for high-energy neutrons." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/16424.
Full textSantos, Josilene Cerqueira. "Determinação experimental da distribuição de dose absorvida em diferentes qualidades de feixes mamográficos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-26042018-121103/.
Full textThe mean glandular dose is the quantity used for dosimetry in mammography. This quantity has a strong dependence with some properties of the evaluated breast, such as its glandularity and compressed thickness. It also depends on the X-ray spectrum used for the mammographic image production, such as the target/filter combination and the tube voltage, which are related to the half value layer (HVL) of the beam. The X-ray beam characterization by means of the direct measurement of its spectrum is a complex procedure, and it is difficult to be implemented in clinical systems due to the architecture of the mammography equipment and the high photon fluence rates. These spectra provide a complete qualitative and quantitative information of the X-ray beam. The general objective of this work is to estimate mean glandular dose distributions in different depths of breast tissue-equivalent materials (bTEM) considering the X-ray spectra measured in clinical mammography devices. Radiographic techniques commonly applied for breast cancer screening were used. The behavior of the mean glandular dose normalized to the incident air kerma (DgNp), with parameters related to the breast (glandularity and compressed thickness) and to the mammographic spectra (HVL, tube voltage, target/filter combination), was evaluated. First, an experimental methodology was developed to measure X-ray spectra in clinical mammography devices. Then, the following methods for calculating the DgNp using these spectra were considered: Method I, which calculates the DgNp using the incident spectra; Method II, which uses incident and transmitted spectra by the bTEMs, and Method III, which uses incident and transmitted spectra to estimate the dose distributions in depth of the breast equivalent materials. Finally, thermoluminescent dosimeters (TLDs) were used as a comparative method to evaluate DgNp distributions. The methodology developed for measuring spectra proved to be efficient for the proper positioning and alignment of the detector and, consequently, for the measurement of direct X-ray spectra. The experimental incident spectra showed good agreement with spectra simulated in similar conditions. The results showed well-defined trends (either linear or exponential) of the distributions of these coefficients (DgNp) regarding the analyzed parameters. The DgNp values presented an exponential decay with the bTEM thickness and linear decrease with the glandularity. In addition, these coefficients increase linearly with the increase of the HVL and, consequently, with the increase of the effective energy. From the distributions of DgNp (obtained by Method III) it was possible to estimate the DgNp in the whole breast with a maximum difference of 5.2% from the values obtained using the Method II. The variation of the DgNp with the depth, obtained with TLDs, showed to be consistent with the results observed using the Method III. In conclusion, it is possible to evaluate the glandular dose in mammography examinations using X-ray spectra and the suggested methodology, with some adaptations, can be applied as an alternative procedure for dosimetry in mammography.
Nordqvist, Malin. "Modellering av byggnaders skyddskoefficienter vid utsläpp av radioaktiva ämnen." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-195665.
Full textIn case of a radioactive release, it is important to have good preparedness with the right actions to contribute the best protection for the vulnerable section of the population. Immediately after a release theexposure through inhalation will be the biggest problem, since particles and gases have not beendeposited on land, clouds and so on. Buildings contribute to protection against inhalation. The reason forthis is that the air outside and inside the dwelling is changed relatively slowly. How much of the pollutionthat enter the indoor air and how long time it takes is important information to determine if thepopulation is sufficiently protected inside buildings or if evacuation is needed. In this work knowledgefrom existing literature and modelling has been used to describe general conditions with which apollutant moves in and out of a building. Differential equations with main processes and parameters havebeen studied to give a estimation as to the protection a building can provide against exposure throughinhalation of particles and gases in a radioactive cloud. Different types of ventilation systems, with orwithout associated particle filter are discussed and inhalation dose for different age groups and activitylevels are examined.A buildings protection coefficient is defined by comparing the amount of pollution in the air outside withthe air inside a building. The three main processes that control the transport of the pollution in and outfrom a building are ventilation, penetration and deposition. Ventilation arises of air exchange betweenindoor and outdoor air. Ventilation is controlled either mechanically or naturally. Penetration describesthe proportion of the particles or gases that enter trough the buildings shell. Deposition of particles andgases accurse due to the fact that they tend to stick to the surfaces they pass in transit. The deposition alsooccurs on all surfaces inside the building. After the particles and gases have become deposited, they mayre‐suspend and come back up into the air permitting inhalation before they once more deposit onavailable surfaces. The deposit is seen as a sink while re‐suspension acts as a source for indoor airconcentration.One of the factors that have a large impact of a buildings protection factor is the particle diameter, due tothe deposition and penetration process strongly dependent on particles size. Large and small particlesdeposited easier and the remaining fraction, the midfraction (0.2 to 1 micron in diameter), remains. Thisfraction will stay in the air longer since the deposition process does not affect it strongly. Gases moveeasily in and out of the building and are not prevented by the particle filter. However, there are specialfilters to install that prevent gases to penetrate, such as carbon filters. The rate of decay of the variousradionuclides also affects the protection factor. When nuclides decay the concentration in the airdecreases, the decay is then a sink of the concentration indoors. Ventilation rate has a certain influence onprotection coefficient. An increased ventilation rate leads to the concentration inside approaching thepenetration factor; this is applied if the ventilation rate can be assumed to be much higher than thedeposit rate. Ventilation system equipped with a particle filter can keep a large part of the pollutantoutside the building. Particle filters have different efficiency and are classified as coarse, medium and finefilter. High filter efficiency has a major impact on the protection coefficient. For a filter to functionproperly it demands maintenance and should be replaced in time.Inhalation dose depends on the particle size, since the deposition process affected in respiratory functionis similar to the transport in and out of a building. The midfraction tends to penetrate deep into the lungsafter inhalation. The effect of inhalation is due to an individual's age, size, and physical activity.
Cavalcante, Fernanda Rocha. "Simulação Monte Carlo de cenários de radiologia intervencionista pediátrica no código MCNPX." Universidade Federal de Sergipe, 2017. https://ri.ufs.br/handle/riufs/5271.
Full textInterventional radiology consists of minimally invasive procedures guided by real-time X-ray imaging of a region of the patient to be diagnosed or treated. Since it is a practice that uses ionizing radiation, performing these procedures should follow the three basic principles of radioprotection, which are justification, optimization (medical exposure), and dose limitation (occupational exposure). Interventional procedures in children with congenital heart defects are justified by substituting other high-risk procedures. However, as these procedures are responsible for high doses in the patient and individuals occupationally exposed (IOE), it is important to evaluate the medical exposures of pediatric individuals due to a greater susceptibility to radiation damage in these individuals who present a rapid metabolism and closer proximity of the organs. In addition, the longer life expectancy in children allows more time for any harmful effects of radiation, such as cancer, to manifest. Because direct dose measurement within the human body is difficult or impractical, the Monte Carlo simulation of radiation transport is a useful tool in estimating dosimetric protection quantities (H T and E) in anthropomorphic phantoms representing the anatomy of the human body. In addition, it is possible to calculate conversion coefficients that relate protection quantities with measurable quantities, such as the kerma-area product (PKA). In this work, we modelled paediatric interventional cardiology scenarios using the MCNPX code and a pair of adult and paediatric hybrid anthropomorphic phantoms (newborn, 1 year and 5 year) to evaluate medical and occupational exposures. The results obtained in this work show conversion coefficients H T /PKA and E/PKA of 5 to 16 times higher than the values obtained in the literature for interventional procedures performed in adult patients. In addition, we estimate the influence of personal protective equipment (lead apron, thyroid shield and lead glasses) on occupational exposures, which contribute to reduction of H T doses in the physician up to 98% (gonads and thyroid), when used.
A radiologia intervencionista consiste de procedimentos minimamente invasivos guiados por imagens de raios X em tempo real de uma região do paciente a ser diagnosticada ou tratada. Por ser uma prática que utiliza radiação ionizante, a realização destes procedimentos deve seguir os três princípios básicos de radioproteção, que são a justificação, otimização (exposição do paciente) e limitação de dose (exposição do médico). Os procedimentos intervencionistas em crianças com cardiopatias congênitas são justificáveis por substituírem outros procedimentos de alto risco. Entretanto, conforme estes procedimentos são responsáveis por altas doses no paciente, além dos indivíduos ocupacionalmente expostos (IOE), é importante avaliar as exposições médicas de indivíduos pediátricos devido uma maior susceptibilidade de ocorrência de danos provocados pela radiação nestes indivíduos, que apresentam metabolismo rápido e maior proximidade anatômica dos órgãos. Além disso, a maior expectativa de vida das crianças induz uma maior probabilidade de ocorrência de efeitos estocásticos tardios como o câncer. Devido à medição direta da dose dentro do corpo humano ser difícil ou impraticável, a simulação Monte Carlo do transporte de radiação é uma ferramenta útil na estimativa de grandezas dosimétricas de proteção (H T e E) em simuladores antropomórficos que representam a anatomia do corpo humano. Além disso, é possível calcular coeficientes de conversão que relacionam grandezas de proteção com grandezas mensuráveis, como o produto kerma-área (PKA). Neste trabalho, modelamos cenários de cardiologia intervencionista pediátrica utilizando o código MCNPX e uma dupla de simuladores antropomórficos híbridos adulto e pediátrico (recém-nascido, de 1 e 5 anos) para avaliar as exposições médicas e ocupacionais. Os resultados obtidos neste trabalho mostram coeficientes de conversão H T /PKA e E/PKA de 5 a 16 vezes maiores que os valores obtidos na literatura para procedimentos intervencionistas realizados em pacientes adultos. Além disso, estimamos a influência dos equipamentos de proteção individual (avental, óculos plumbíferos e protetor de tireoide) nas exposições ocupacionais, que contribuem para redução das doses H T no médico em até 98% (gônadas e tireoide), quando utilizados.
Hernandes, Fabiano. "Unsteady aerodynamic coefficients obtained by a compressible vortex lattice method." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=954.
Full textTomal, Alessandra. "Medidas experimentais dos coeficientes de atenuação de tecidos mamários e sua influência no contraste e dose mamográfica." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-12092007-082142/.
Full textThe study and determination of attenuation properties of breast tissues are fundamental to understand and quantify contrast and absorbed dose in the mammographic examination. The purpose of this work is to experimentally determine the attenuation coefficient of breast tissues, and then to include these results into a theoretical analytical model, in order to study the influence of several parameters on subject contrast and dose in mammography. Among the parameters studied, one can emphasize the breast characteristics (geometry and composition), the radiographic technique, the target-filter combination and the image receptor. The attenuation coefficients were measured using narrow beam geometry, within the energy range of 8-30 keV, using an x-ray diffractometer 4-circle P3 Nicolet-Siemens and a monocromator of Si (111). For these measurements were analyzed 63 breast tissue samples (previously classified as normal tissues, fibroadenomas and several types of carcinomas). The linear attenuation coefficients measured were compared with theoretical predictions obtained from the mixture rule, and with experimental data previously published. The developed model to the subject contrast takes into account the primary and scattered contribution of the transmitted radiation. The average absorbed dose was estimated considering two simplified approaches, which allowed to predict upper and lower limit values, and a more complete approach, which included the contribution of single and double scattered radiation. The analytical model developed in this work provided results in a fast and simple way, with a good agreement with those reported by others authors who had used Monte Carlo simulation, as well it allowed to define limit values for detection of tumor masses.
Sêcco, Ney Rafael. "Training artificial neural networks to predict aerodynamic coefficients of airliner wing-fuselage configurations." Instituto Tecnológico de Aeronáutica, 2014. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=2955.
Full textOmerdin, Khadijah. "Does Depreciation Matter to Investors?" Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1692.
Full textBooks on the topic "Dose coefficients"
Guide to Dose Coefficients. National Radiological Protection Board, 2001.
Find full textICRP. ICRP CD2: Database of Dose Coefficients--Embryo and Fetus. Elsevier, 2002.
Find full textICRP. ICRP CD2: Database of Dose Coefficients--Embryo and Fetus. Elsevier, 2002.
Find full textICRP. ICRP Publication 68: Dose Coefficients for Intakes of Radionuclides by Workers. Elsevier, 1995.
Find full textICRP. The ICRP Database of Dose Coefficients: Workers and Members of the Public. PERGAMON PRESS, 1999.
Find full textICRP. The ICRP Database of Dose Coefficients: Workers and Members of the Public. Elsevier, 2001.
Find full textStaff, ICRP. ICRP Publication 136: Dose Coefficients for Non-Human Biota Environmentally Exposed to Radiation. SAGE Publications, Limited, 2017.
Find full textICRP. ICRP Publication 69: Age-dependent Doses to Members of the Public from Intake of Radionuclides: Part 3 Ingestion Dose Coefficients. Elsevier, 1995.
Find full textICRP. ICRP Publication 71: Age-dependent Doses to Members of the Public from Intake of Radionuclides: Part 4 Inhalation Dose Coefficients. Elsevier Science Publishing Company, 1996.
Find full textICRP. ICRP Publication 67: Age-dependent Doses to Members of the Public from Intake of Radionuclides: Part 2 Ingestion Dose Coefficients. Elsevier, 1994.
Find full textBook chapters on the topic "Dose coefficients"
Hertel, Nolan E., and Derek Jokisch. "Dose Coefficients." In Advanced Radiation Protection Dosimetry, 335–93. Boca Raton, FL : CRC Press, Taylor & Francis Group, [2019] |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429055362-8.
Full textMelintescu, A., D. Galeriu, and H. Takeda. "Reassessment of Tritium Dose Coefficients." In Survival and Sustainability, 615–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-95991-5_56.
Full textHan, Haegin, Yeon Soo Yeom, Chansoo Choi, Hanjin Lee, Bangho Shin, Xujia Zhang, Rui Qiu, Nina Petoussi-Henss, and Chan Hyeong Kim. "Dose Coefficients for Use in Rapid Dose Estimation in Industrial Radiography Accidents." In Brain and Human Body Modeling, 295–304. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21293-3_15.
Full textSarno, Antonio, Giovanni Mettivier, Francesca Di Lillo, and Paolo Russo. "Monte Carlo Evaluation of Normalized Glandular Dose Coefficients in Mammography." In Breast Imaging, 190–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41546-8_25.
Full textDimov, Asen, Ivan Tsanev, and Dimitar Penev. "Technique and Gender Specific Conversion Coefficients for Estimation of Effective Dose from Kerma Area Product During X-Ray Radiography of Chest." In IFMBE Proceedings, 719–23. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9035-6_133.
Full textLechner, Bernhard, Almir Cajic, Bernhard Fischbacher, Alexander Kospach, Alexander Mladek, Peter Sammer, Christoph Zitz, and Michael Zotz. "Validation of Truck Platoon Slipstream Effects." In Energy-Efficient and Semi-automated Truck Platooning, 69–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_6.
Full textGazdag, András, György Lupták, and Levente Buttyán. "Correlation-Based Anomaly Detection for the CAN Bus." In Communications in Computer and Information Science, 38–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09357-9_4.
Full textCroccolo, Dario, Rossano Cuppini, and Nicolò Vincenzi. "Friction Coefficients Definition in Compression-Fit Couplings Applying the Doe Method." In Experimental Analysis of Nano and Engineering Materials and Structures, 443–44. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6239-1_220.
Full textXu, Liu-Jun, and Ji-Ping Huang. "Theory for Thermal Wave Nonreciprocity: Angular Momentum Bias." In Transformation Thermotics and Extended Theories, 277–90. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5908-0_20.
Full textYousef, Majdi A. A., and R. Panneer Selvam. "Compare Tornado Force Coefficients on Dome and Prism Building Using Three-Dimensional Computational Fluid Dynamics Model." In Lecture Notes in Mechanical Engineering, 261–71. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5329-0_18.
Full textConference papers on the topic "Dose coefficients"
Schlattl, Helmut. "Dose conversion coefficients for partial-fan CBCT scans." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2250571.
Full textFruit, Michel, Andrei I. Gusarov, Dominic B. Doyle, and Gerd J. Ulbrich. "Radiation impact on spaceborne optics: the dose coefficients approach." In Remote Sensing, edited by Edward W. Taylor and Francis Berghmans. SPIE, 1999. http://dx.doi.org/10.1117/12.373286.
Full textLiu, Fangfang, Mingqi Shen, Taosheng Li, and Chunyu Liu. "Proton Dose Conversion Coefficients Based on Chinese Reference Adult Woman Voxel Phantom." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15506.
Full textFruit, Michel, Andrei I. Gusarov, Dominic B. Doyle, Gerd J. Ulbrich, and Alex Hermanne. "Space radiation sensitivity of glasses: first results toward a comprehensive dose coefficients database." In International Symposium on Optical Science and Technology, edited by Edward W. Taylor. SPIE, 2000. http://dx.doi.org/10.1117/12.405352.
Full textFu, Wanyi, Xiaoyu Tian, Pooyan Sahbaee, Yakun Zhang, William Paul Segars, and Ehsan Samei. "Organ dose conversion coefficients for tube current modulated CT protocols for an adult population." In SPIE Medical Imaging, edited by Despina Kontos, Thomas G. Flohr, and Joseph Y. Lo. SPIE, 2016. http://dx.doi.org/10.1117/12.2217271.
Full textSchlattl, Helmut, Maria Zankl, and Christoph Hoeschen. "CTDIvol: a suitable normalization for CT dose conversion coefficients at different tube voltages?" In SPIE Medical Imaging, edited by Norbert J. Pelc, Robert M. Nishikawa, and Bruce R. Whiting. SPIE, 2012. http://dx.doi.org/10.1117/12.910905.
Full textChoi, Jang-Hwan, Dragos Constantin, and Rebecca Fahrig. "A numerical investigation for the optimal positions and weighting coefficients of point dose measurements in the weighted CTDI." In SPIE Medical Imaging, edited by Christoph Hoeschen, Despina Kontos, and Thomas G. Flohr. SPIE, 2015. http://dx.doi.org/10.1117/12.2082477.
Full textKalinin, V. N., and V. N. Zabrotski. "ESTIMATION OF HEALTH RISK FOR PERSON CONSUMING BUSHMEAT TAKEN AT THE CHERNOBYL EXCLUSION ZONE." 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-2021-2-263-266.
Full textSanders, Charlotta E. "Development of Buildup Factors for Updating the ANSI/ANS-6.4.3 Standard." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-30212.
Full textBackfrieder, Werner. "A multi-modal data model for morphological segmentation in 3D dosimetry." In the 8th International Workshop on Innovative Simulation for Healthcare. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.iwish.004.
Full textReports on the topic "Dose coefficients"
Jannik, Tim. UPDATED EXTERNAL EXPOSURE DOSE COEFFICIENTS. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1632841.
Full textKocher, D. C., and K. F. Eckerman. On the use of age-specific effective dose coefficients in radiation protection of the public. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/676937.
Full textBlanchard, A. Derived Intervention Levels for Tritium Based on Food and Drug Administration Methodology Using ICRP 56 Dose Coefficients. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/7962.
Full textEckerman, K. F., and R. W. Leggett. DCFPAK: Dose coefficient data file package for Sandia National Laboratory. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/419124.
Full textSaarnio, Karri, Mika Vestenius, and Katriina Kyllönen. Attestation of conformity of particulate matter measurements (HIVATO) 2019–2020. Finnish Meteorological Institute, December 2021. http://dx.doi.org/10.35614/isbn.9789523361331.
Full textMIRKINA, O. ANALYTICAL COEFFICIENTS IN THE EVALUATION OF THE ACTIVITIES OF MICROENTERPRISES. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2070-7568-2021-10-6-1-28-33.
Full textSullivan, T. Recommended values for the distribution coefficient (Kd) to be used in dose assessments for decommissioning the Zion Nuclear Power Plant. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1143601.
Full textSullivan, T. Recommended values for the distribution coefficient (Kd) to be used in dose assessments for decommissioning the Zion Nuclear Power Plant. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1178623.
Full textGoetsch, Arthur L., Yoav Aharoni, Arieh Brosh, Ryszard (Richard) Puchala, Terry A. Gipson, Zalman Henkin, Eugene D. Ungar, and Amit Dolev. Energy Expenditure for Activity in Free Ranging Ruminants: A Nutritional Frontier. United States Department of Agriculture, June 2009. http://dx.doi.org/10.32747/2009.7696529.bard.
Full textCao Romero, Julio A., Jorge Reyes-Avendaño, Julio Soriano, Leonardo Farfan-Cabrera, and Ali Erdemir. A Pin-on-Disc Study on the Electrified Sliding Wear of EVs Powertrain Gears. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0320.
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