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Fig 1 -:

Xiao-Jun Li (1718128) ; Yan-Cheng Ye (11914424) ; Yan-Shan Zhang (11914427).
https://figshare.com/articles/figure/Fig_1_-/17943494. , 2022

Link: https://doi.org/10.1371/journal.pone.0261042.g001

RT Journal
T1 <Title>Fig 1 -</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17943494&Exemplar=1&LAN=DE
				
A1 Xiao-Jun Li (1718128)
A1 Yan-Cheng Ye (11914424)
A1 Yan-Shan Zhang (11914427)
A1 Jia-Ming Wu (529065)
YR 2022
K1 Neuroscience
K1 Evolutionary Biology
K1 Developmental Biology
K1 Cancer
K1 Infectious Diseases
K1 Physical Sciences not elsewhere classified
K1 within &# 177
K1 different field sizes
K1 photon energy increased
K1 energy photon beams
K1 >−<
K1 photon energy e
K1 percent depth dose
K1 parameter n expresses
K1 generated buildup function
K1 modeling parameters n
K1 either square field
K1 collimator scatter factor
K1 photon energy
K1 square field
K1 scatter factor
K1 photon energies
K1 parameters n
K1 field size
K1 empirical modeling
K1 dose calculation
K1 &# 956
K1 ></ sup
K1 )< sup
K1 parameter formula
K1 main parameter
K1 tail function
K1 quadratic function
K1 exponential function
K1 denotes n
K1 buildup function
K1 parameters μ
K1 thus improves
K1 technique developed
K1 showed agreement
K1 random errors
K1 radiation therapy
K1 qa program
K1 physical meaning
K1 parameter μ
K1 measured data
K1 maximum error
K1 fitting results
K1 fitting accuracy
K1 fitted buildup
JF https://figshare.com/articles/figure/Fig_1_-/17943494
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0261042.g001
DO https://doi.org/10.1371/journal.pone.0261042.g001
SF ELIB - SuUB Bremen

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