Large-scale, publicly funded research and development (R&D) programs are implemented to accelerate state-of-the-art science, technology, and innovation applications that are expected to solve various societal problems. The present study aims to build on the body of theory on the mechanisms that promote or impede the creation of intellectual property in such programs. Using a mixed methods approach and combining quantitative network analysis and qualitative semistructured interviews, we conducted a case study to investigate best practices in terms of intellectual property creation in a Japanese governmental research and development program. The results of the network analysis showed that the core/periphery structure in the co-inventor network of patents and joint application by a university and a startup promoted intellectual property creation. The results of the interview confirmed the significance of a reciprocal mindset, which the researchers in academia could acquire through collaboration with a startup. These results suggest that a knowledge logistics system for agile intellectual property management can be established by learning to acquire tacit knowledge on social implementation. Furthermore, we focus on the principal–agent relationship between knowledge producers and knowledge consumers as a factor that impedes the creation of intellectual property. We also discuss adverse selection and moral hazards caused by information asymmetry between knowledge producers and knowledge consumers and how to deal with them.

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In recent years, Wearable Devices have been used in a wide variety of applications and fields, but because they span so many different disciplines, it is difficult to ascertain the intellectual structure of this entire research domain. No review encompasses the whole research domain related to Wearable Devices. In this study, we collected articles on wearable devices from 2001 to 2022 and quantitatively organized them by bibliometric analysis to clarify the intellectual structure of this research domain as a whole. The cluster analysis, co-occurrence analysis, and network centrality analysis were conducted on articles collected from the Web of Science. As a result, we identified one cluster that represents applied research and two clusters that represent basic research in this research domain. Furthermore, focusing on the top two countries contributing to this research domain, China and the USA., it was confirmed that China is extremely inclined toward basic research and the USA. toward applied research, indicating that applied and basic research are in balance. The basic intellectual structure of this cross-sectional research domain was identified. The results summarize the current state of research related to Wearable Devices and provide insight into trends.

As mathematical models of hydraulic accumulator, thermodynamics, heat transfer, and gas models are briefly described, including the isothermal and the adiabatic equations of the van der Waals equation. Measurement of gas behavior using a bladder type accumulator and a piston type accumulator was carried out. Measured data of a discharge test of the bladder accumulator and a charge test of the piston type accumulator were used to validate the models.