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Kyo Kageura

Publications and source records attributed to Kyo Kageura.

4 recordsLinked to original sources

Comment on "Individual external dose monitoring of all citizens of Date City by passive dosimeter 5 to 51 months after the Fukushima NPP accident (series): II"

This Letter to the Editor points out several inconsistencies found in the paper written by Makoto Miyazaki and Ryugo Hayano published as J. Radiol. Prot. 37(2017) 623-634. This Letter to the Editor had been in the stage of "is ready to accept" from November 17, 2018 to March 23, 2020 when it has been accepted for publication. Onto this Letter to the Editor, an additional Letter to the Editor on the same paper has been added. The added Letter to the Editor has been provisionally accepted on April 7, 2020.

physics.med-ph

Further comments on "Individual external dose monitoring of all citizens of Date City by passive dosimeter 5 to 51 months after the Fukushima NPP accident (series): 1." : Inconsistencies in Table 1 2014 Q3 and Figure 4f

We point out serious inconsistencies of the first paper of the series, written by Makoto Miyazaki and Ryugo Hayano, which discusses the correlation between the personal doses of the citizens of Date City measured by glass badges with the ambient dose rates measured by six airborne surveys. The last of the six airborne survey was made in the period of 2014 Q3 (from October 2014 to December 2014). The real number of participants of the period is about 14,500; however, in Table 1 2014 Q3 it is written that the number of participants is 21,080 and in Fig. 4f 21,052. We conclude that the analysis of the paper with respect to Table 1 2014 Q3 and Fig. 4f are done without using real correct data and we cannot obtain any meaningful information from the table and figure. Since the period 2014 Q3 is also included in Fig. 5 of the second paper of the series, it is quite possible that Fig. 5 of the second paper is made on the basis of, at least partially, false data and is not reliable.

physics.med-ph

Pattern Based Term Extraction Using ACABIT System

In this paper, we propose a pattern-based term extraction approach for Japanese, applying ACABIT system originally developed for French. The proposed approach evaluates termhood using morphological patterns of basic terms and term variants. After extracting term candidates, ACABIT system filters out non-terms from the candidates based on log-likelihood. This approach is suitable for Japanese term extraction because most of Japanese terms are compound nouns or simple phrasal patterns.

cs.CL