Increased dose rate precision in combined α and β counting in the μDose system - a probabilistic approach to data analysis

2020 ◽  
Vol 134 ◽  
pp. 106310
Author(s):  
Konrad Tudyka ◽  
Andrzej Bluszcz ◽  
Grzegorz Poręba ◽  
Sebastian Miłosz ◽  
Grzegorz Adamiec ◽  
...  
2018 ◽  
Vol 08 (01) ◽  
pp. 26-38
Author(s):  
Fábio Manoel França Lobato ◽  
Carlos Diego Damasceno ◽  
Daniela Soares Leite ◽  
Ândrea Kelly Ribeiro-dos-Santos ◽  
Sylvain Darnet ◽  
...  

Author(s):  
Bjoern Schenk ◽  
Peggy J. Brehm ◽  
M. N. Menon ◽  
William T. Tucker ◽  
Alonso D. Peralta

Statistical methods for the design of ceramic components for time-dependent failure modes have been developed which can significantly enhance component reliability, reduce baseline data generation costs, and lead to more accurate estimates of slow crack growth (SCG) parameters. These methods are incorporated into the AlliedSignal Engines CERAMIC and ERICA computer codes. Use of the codes facilitates generation of material strength parameters and SCG parameters simultaneously, by pooling fast fracture data from specimens that are of different sizes, or stressed by different loading conditions, with data derived from static fatigue experiments. The codes also include approaches to calculation of confidence bounds for the Weibull and SCG parameters of censored data and for the predicted reliability of ceramic components. This paper presents a summary of this new fatigue data analysis technique and an example demonstrating the capabilities of the codes with respect to time-dependent failure modes. This work was sponsored by the U.S. Department of Energy Oak Ridge National Laboratory (DoE/ORNL) under Contract No. DE-AC05-84OR21400.


Brachytherapy ◽  
2009 ◽  
Vol 8 (2) ◽  
pp. 115
Author(s):  
Francois Therriault-Proulx ◽  
Maxime Villeneuve ◽  
Andre-Guy Martin ◽  
Luc Gingras ◽  
Sam A. Beddar ◽  
...  

2022 ◽  
Vol 808 ◽  
pp. 152024
Author(s):  
Natasha Natasha ◽  
Muhammad Shahid ◽  
Irshad Bibi ◽  
Jibran Iqbal ◽  
Sana Khalid ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Xiaomin Wang ◽  
Yunli Liu ◽  
Yi Zhang ◽  
Wenqing Shi ◽  
Yifan Yang ◽  
...  

Abstract A novel biofilter-constructed wetland coupling system has been applied more than 160 domestic sewage treatment projects in different cities of Zhejiang province, China. The performance of a randomly selected project (flux rate was 27.0 m3/d) based on the coupling system was evaluated in long-term, and the effluent monitoring by big data analysis showed a relatively stable and good water quality. The effluent concentrations of CODCr, NH4+-N and TP was 37.57 ± 11.17 mg/L, 5.64 ± 1.69 mg/L and 0.82 ± 0.16 mg/L, respectively, which met the first class of "Standards for Discharge of Water Pollutants from Rural Domestic Sewage Treatment Facilities" (DB33/973–2015). The concentrations of effluent TP showed a strong polynomial curve fitting with effluent NH4+-N concentrations (R2 = 0.9329) according to the big data analysis. Besides, the concentrations of effluent CODCr had a strong positive linear correlation with the concentrations of effluent NH4+-N (R2 = 0.9297), which increased with the increase of effluent TP concentrations (R2 = 0.6957). Results also showed C/N had stronger correlation with pH (R2 = 0.6441), while the concentration of effluent NH4+-N and effluent TP had weak correlation with pH (R2 = 0.3348 and R2 = 0.4834, respectively). The findings might have very important guiding significance for the future monitoring methods of water effluent quality of treatment facility and the cost reduction of monitoring management. Moreover, a demonstration and experiments were carried out for a contrast study of the enhanced system (b) and original system (a). The removal efficiency of CODCr, NH4+-N and TP of the enhanced system (b) was 81.33 %, 90.22 %, and 75.44 %, respectively, which increased by 4.33 %, 9.11 % and 13.77 % respectively compared to the original system (a).


2020 ◽  
Vol 28 ◽  
pp. 25
Author(s):  
Alause Da Silva Pires ◽  
Eliseo Berni Reategui ◽  
Ana Cristina Xavier França ◽  
Eric Bettinger ◽  
Sérgio Roberto Kieling Franco

The journal classification system known as Qualis has been used as an indicator of the quality of research carried out in Brazil, as it is an important part of the mechanisms of scientific production evaluation and resource distribution in the country. In this context, this article intends to show how the Qualis classification system, a non-exhaustive list published annually, has induced the scientific production of Brazilian graduate programs, after two decades of its implementation by CAPES. To do that, the frequency of publications in journals that were in the Qualis system between 2007 and 2016 has been observed in eight different evaluation areas. Using the SJR index provided by Scopus, the international impact of the most frequent journals in that period was determined, as well as the concentration of articles in these same journals. Results showed that the Qualis system has directed the publication of articles in a restricted number of journals, a scientific production that was concentrated mostly in the journals with lower impact factor among the ones that composed the list. The data analysis showed that researchers have been concentrating efforts to publish in journals that bring higher number of points in the Qualis system, regardless of the visibility of these journals from a national or international point of view. 


Sign in / Sign up

Export Citation Format

Share Document