HOME > Awards

Back Number

JPSJ Papers of Editors’ Choice


Certificate of JPSJ Papers of Editors’ Choice

Dr. Shintaro Hashimoto of Research Group for Radiation Transport Analysis and Dr. Futoshi Minato of Nuclear Data Center received the prize of “JPSJ Papers of Editors’ Choice” for the paper entitled “Estimated Isotopic Compositions of Yb in Enriched 176Yb for Producing 177Lu with High Radionuclide Purity by 176Yb(d,x)177Lu” ( J. Phys. Soc. Jpn. Vol. 91, 044201, 2022) on March 14, 2022.

Some of radioactive isotopes (RI) are utilized for diagnosis of tumors and therapy of diseases. Among them, 177Lu (Lutetium-177) recently attracts an attention due to its aspect of treating a wide variety of cancers. However, the production method of 177Lu is not well established and the use is still very limited. Therefore, a new method that effectively produces 177Lu is now highly demanded to accelerate the worldwide supply. In this work, we paid attention to a reaction process that produces 177Lu by irradiating deuteron beam of accelerators to 176Yb. We carried out the experiment by bombarding deuteron beam to natural Yb samples, and evaluated amount of 177Lu produced via reaction of deuteron and 176Yb. Furthermore, we developed a new model calculating yields of Lu-isotopes by the deuteron-induced reaction in order to estimate purity of 177Lu when using Yb samples with arbitrary compositions. As a result, it was shown that our approach is able to produce 177Lu with high purity enough for medical uses with accelerators. This study is expected to contribute to the future stable supply of 177Lu.

The JNST Most Popular Article Award 2021


Certificate of JNST Most Popular Article Award 2021

Dr. Hiroaki Terada of Research Group for Environmental Science, Dr. Haruyasu Nagai of Nuclear Science and Engineering Center, Dr. Katsunori Tuduki and Dr. Masanao Kadowaki of Research Group for Environmental Science received the prize of “JNST Most Popular Article Award 2021” for the paper entitled “Atmospheric-dispersion database system that can immediately provide calculation results for various source term and meteorological conditions” (J. Nucl. Sci. Technol., Vol. 57, 745-754, 2020) on March 18, 2022.

In the awarded article, we reported the development and application of the atmospheric-dispersion database system “WSPEEDI-DB” that can respond to various needs for dispersion prediction in a nuclear emergency and provide useful information for emergency-response planning. WSPEEDI-DB can quickly provide dispersion calculation results by sophisticated numerical models for various meteorological and release conditions with the newly developed calculation method.

Dispersion calculation results under past long-term weather conditions and various hypothetical release conditions produced by WSPEEDI-DB can be used for optimization of monitoring plans and disaster prevention drills by creating simulated monitoring data, and so on. As an example, the deployment of monitoring posts around the Shimane Nuclear Power Station was assessed by analyzing the past 1-year dispersion calculation results. We demonstrated that the present monitoring post deployment can capture the distribution of air dose rates during periods without rainfall. For periods with precipitation, however, high-dose-rate areas are assumed not to be grasped.; mobile measurement is effective in such areas.

Please see the website in more details about WSPEEDI-DB. This paper, which is an open-access paper, can be downloaded from here.

The JNST Most Cited Article Award 2021


Certificate of JNST Most Cited Article Award 2021

Dr. Takuya Furuta and Dr. Fumiaki Takahashi of Research Group for Radiation Transport Analysis received the prize of “JNST Most Cited Article Award 2021” for the paper entitled “Study of radiation dose reduction of buildings of different sizes and materials” (J. Nucl. Sci. Technol., Vol. 52, 897-904, 2015) on March 18, 2022.

Dependence of the radiation dose reduction on sizes and materials of buildings for gamma-rays emitted from radioactive cesium distributed over ground surface was studied by numerical analyses using the Monte Carlo simulation code PHITS in this article. Higher radiation dose reduction was achieved for buildings with thick and densed walls. However, a common feature was found for all types of buildings such that dose rates inside buildings linearly decreased with increasing floor area on a logarithmic scale. This tendency was verified by comparison with data reflecting the dose reduction of typical buildings in Japan. The results of this article are useful for radiation dose level estimation and reduction measures for returned residents after the accident at the Fukushima Daiichi nuclear power station.