scholarly journals Determination of Effective Dose of Ultraviolet Irradiation to Influent Water for Prevention of Kudoa yasunagai Infection

2016 ◽  
Vol 51 (3) ◽  
pp. 128-131
Author(s):  
Sang Phil Shin ◽  
Tomoyo Nishimura ◽  
Kazuo Ogawa ◽  
Sho Shirakashi
Keyword(s):  
Effective Dose ◽  
Ultraviolet Irradiation ◽  
Influent Water ◽  
Kudoa Yasunagai

Determination of Collective Effective Dose Equivalent due to Computed Tomography in Denmark in 1989

1992 ◽  
Vol 43 (1-4) ◽  
pp. 37-40
Author(s):  
K.A. Jessen ◽  
J.J. Christensen ◽  
J. Jørgensen ◽  
J. Petersen ◽  
E.W. Sørensen
Keyword(s):  
Computed Tomography ◽  
Effective Dose ◽  
Effective Dose Equivalent ◽  
Dose Equivalent

Determination of Collective Effective Dose Equivalent due to Computed Tomography in Denmark in 1989

1992 ◽  
Vol 43 (1-4) ◽  
pp. 37-40 ◽  
Author(s):  
K.A. Jessen ◽  
J.J. Christensen ◽  
J. Jørgensen ◽  
J. Petersen ◽  
E.W. Sørensen
Keyword(s):  
Computed Tomography ◽  
Effective Dose ◽  
Effective Dose Equivalent ◽  
Dose Equivalent

Determination of radon concentration in groundwater of Gadau, Bauchi State, Nigeria and estimation of effective dose

2021 ◽  
Vol 178 ◽  
pp. 108934
Author(s):  
Hauwa'u Kulu Shu'aibu ◽  
Mayeen Uddin Khandaker ◽  
Auwal Baballe ◽  
Salisu Tata ◽  
Mohammed Auwal Adamu
Keyword(s):  
Effective Dose ◽  
Radon Concentration

scholarly journals Determination Of Gas Mixture Components Using Fluctuation Enhanced Sensing And The LS-SVM Regression Algorithm

2015 ◽  
Vol 22 (3) ◽  
pp. 341-350 ◽  
Author(s):  
Łukasz Lentka ◽  
Janusz M. Smulko ◽  
Radu Ionescu ◽  
Claes G. Granqvist ◽  
Laszlo B. Kish
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Temperature Change ◽  
Nonlinear Regression ◽  
Ultraviolet Irradiation ◽  
Support Vector ◽  
Gas Mixture ◽  
Gas Concentration ◽  
Single Sensor

Abstract This paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration of each constituent in a mixture. We confirmed that the accuracy of the estimated gas concentration could be significantly improved by applying temperature change and ultraviolet irradiation of the WO3 layer. Fluctuation-enhanced sensing allowed us to predict the concentration of both component gases.

scholarly journals Selection Criteria for Determination of Optimal Reconstruction Method for Cu-64 Trastuzumab Dosimetry on Siemens Inveon PET Scanner

2019 ◽  
Vol 8 (4) ◽  
pp. 512 ◽  
Author(s):  
Seonhwa Lee ◽  
Hyeongi Kim ◽  
Ye-rin Kang ◽  
Hyungwoo Kim ◽  
Jung Young Kim ◽  
...  
Keyword(s):  
Effective Dose ◽  
Selection Criteria ◽  
Absorbed Dose ◽  
Reconstruction Algorithm ◽  
Reconstruction Method ◽  
Reconstruction Algorithms ◽  
Recovery Coefficient ◽  
Optimal Reconstruction ◽  
Iteration Number

The goal of this study was to suggest criteria for the determination of the optimal image reconstruction algorithm for image-based dosimetry of Cu-64 trastuzumab PET in a mouse model. Image qualities, such as recovery coefficient (RC), spill-over ratio (SOR), and non-uniformity (NU), were measured according to National Electrical Manufacturers Association (NEMA) NU4-2008. Mice bearing a subcutaneous tumor ( 200 mm 3 , HER2 NCI N87) were injected with monoclonal antibodies (trastuzumab) with Cu-64. Preclinical mouse PET images were acquired at 4 time points after injection (2, 15, 40 and 64 h). Phantom and Cu-64 trastuzumab PET images were reconstructed using various reconstruction algorithms (filtered back projection (FBP), 3D reprojection algorithm (FBP-3DRP), 2D ordered subset expectation maximization (OSEM 2D), and OSEM 3D maximum a posteriori (OSEM3D-MAP)) and filters. The absorbed dose for the tumor and the effective dose for organs for Cu-64 trastuzumab PET were calculated using the OLINDA/EXM program with various reconstruction algorithms. Absorbed dose for the tumor ranged from 923 mGy/MBq to 1830 mGy/MBq with application of reconstruction algorithms and filters. When OSEM2D was used, the effective osteogenic dose increased from 0.0031 to 0.0245 with an increase in the iteration number (1 to 10). In the region of kidney, the effective dose increased from 0.1870 to 1.4100 when OSEM2D was used with iteration number 1 to 10. To determine the optimal reconstruction algorithms and filters, a correlation between RC and NU was plotted and selection criteria (0.9 < RC < 1.0 and < 10% of NU) were suggested. According to the selection criteria, OSEM2D (iteration 1) was chosen for the optimal reconstruction algorithm. OSEM2D (iteration 10) provided 154.7% overestimated effective dose and FBP with a Butterworth filter provided 20.9% underestimated effective dose. We suggested OSEM2D (iteration 1) for the calculation of the effective dose of Cu-64 trastuzumab on an Inveon PET scanner.

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