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This study analyses government-industry-academia collaboration in Japan from the view point of compatibility and motivating factors to collaborate among partners. The primary purpose of this study is to find out the strategic motivating factors of government in the government-industry academia collaboration. This study investigates the strategic motivation by assessing the factors of takeout incentives, in-house incentives, exploration and exploitation. A theoretical model that includes these factors is tested using 2009 data collected from public water supply services in Japan (n = 685). As· a result, it is made clear that the in-house incentives represented by the "advantages for the growth of the waterworks industry" and the "advantages for future water supply" are linked to the outcome represented by "water supply revenue trends" through the mediation of government leadership. Considering the results of this study, it is understood that the strategic motivation are not directly related to government-industry-academia collaboration outcomes, but rather it is the leadership of government leadership that is important for the outcomes.

In this study, fracture healing was simulated by the CA method, which is one of the discrete computation methods. First, the state of a cell was defined as "bone", "cartilage" or "fibrous connective tissue" and a set of local rules was constructed referring to the fuzzy logic model for sheep metatarsal. The simulation results obtained by the CA method agreed well with the ones in the previous research and the experimental data. As a result, it was concluded that the CA simulation model proposed in this study is a suitable model for describing fracture healing. Next, modifying the parameters of local rules, fracture healing of human bone was simulated. On the basis of the simulation results obtained under various conditions of external fixation, it was concluded that an optimal set of stopper gap and initial gap conditions may exist because they have a close relationship to each other.

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