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Sources Kamakura Shogunal Edict as a Deed of Land Purchase and Sale -A Note on Source Criticism-
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Assessing Police Accountability in Japan’s Counterterrorism Activities -A Case Study of the Assassination of the Former Prime Minister Using the “Chain of Accountability” Framework-
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The Special Memorial Exhibition -“Photographer Koike Hiroshi（1933–2023）”-
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The Complexity of “Market Foreclosures” as Illegal Anticompetitive Effects
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A Study of the Turning Point in Audit Institution in Germany -Development in Plausibility Audits-
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A Production Model Analysis of Japanʼs Defense Activities Through the Lens of System-Wide Approach Theory
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The utility of LOC theory in MCS -a literature review from the perspective of the balance of the four control levers and dynamic tension.-
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Prediction of Bone Formation Rate of Artificial Bone With Machine Learning Models Considering the Variation of Experimental Results
No full textThe proportion of older people in the world’s total population is expected to increase. Bone diseases are more prevalent in older people; therefore, the number of patients with such diseases is expected to increase worldwide. Artificial bone is a biomaterial used in the treatment of bone diseases. Artificial bones with high bone formation rates are desired; however, the results of artificial bone implantation vary. There are also ethical issues associated with animal experiments. Our purpose in this study is to predict the variation in bone formation rates. We created multiple sub-datasets and constructed a machine learning model to predict the variation in bone formation rates by considering the results of multiple measurements. We also propose a metric, Jensen–Shannon (JS) divergence, to evaluate the accuracy of the model for predicting variation. We tested the validity of JS divergence by comparing combinations of explanatory variables. Additionally, we found an optimal combination of explanatory variables to construct a model with high predictive accuracy. We expect that the prediction of variation will be useful for improving the practical development of materials and medicines, such as artificial bones, for which stable effects are required, regardless of the individual.journal articl
Earnings, income, and wealth inequality in Japan -a long‑term perspective,1984–2019-
No full textThis study examines trends in earnings, income and wealth inequality among households in Japan from 1984 to 2019. Our findings reveal that inequality in all three domains has increased over the last decades, but due to different underlying factors. The rise in earnings and income inequality is primarily driven by demographic aging, with an increasing proportion of elderly households who typically exhibit higher inequality levels. The growth in wealth inequality is evident not only in the overall population but is particularly pronounced among the young. This trend is largely attributed to a significant rise in the number of households that possess extremely low wealth. Key factors contributing to inequality trends in Japan include aging demographics, shifts in household structure, and major macroeconomic developments such as the financial bubble period and the prolonged economic slow-down that followed.journal articl