标题： 辐射暴露理论 小鼠突变频率数据的比较 显示英文标题

标题： Radiation Exposure Theory Comparison of data on Mutation Frequencies of Mice

摘要： 我们提出了辐射暴露理论（RET），这是一种用于估算由辐射引起的生物损伤的数学框架。 这是对LDM模型的扩展，该模型在论文[Y. Manabe等：《日本物理学会杂志》81卷，104004页（2012年）]中提出。 该理论基于“刺激与响应”的物理协议。 它考虑了包括突变和细胞死亡在内的显著响应，以及增殖、凋亡和修复等生物功能。 通过考虑生物问题，即活体对象的可预防效应的特征，RET可以解释简单线性无阈值假设（LNT）无法重现的各种数据。 作为RET的一个特性，我们提出了一个标度律，即如果将变量（人工辐射开始后时间发展的生物损伤函数）转换为重新归一化的变量，则具有不同剂量率辐射的所有数据点都预测会位于通用线上。 上述标度律可以与实验数据进行比较。 我们采用了所谓的“mega mouse”项目进行的累积实验。 发现它们的数据点被转换为通用标度函数，并且与RET的预测合理一致。 显示英文摘要

摘要： We propose Radiation Exposure Theory (RET), a mathematical framework to estimate biological damage caused by irradiation. This is an extension of LDM model which was proposed in the paper [Y. Manabe et al.: J. Phys. Soc. Jpn. 81, 104004(2012)]. The theory is based on physical protocol, 'a stimulus and its response'. It takes account of considerable response including mutation, cell death caused by outer stimulus, as well as biological functions such as proliferation, apoptosis and repair. By taking account of biological issues, namely a variety of preventable effects, which is characteristic feature of living object. RET can explain various data which simple LNT does not reproduce. As one of the characteristic features of RET, we propose a scaling law, namely all the data point with different dose rate irradiation are predicted to lie on the universal line if the variables, the biological damage function as a function of time development after artificial irradiation starts are converted to renormalized ones. The above scaling law can be compared with experimental data. We adopt the accumulated experiments performed by so-called mega mouse projects. It is found that their data points are converted into a universal scaling function and are in reasonably agreement with the prediction of RET.