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Additional file 2: Supplementary 2. Case list (Case A1–A4, B1–B4).

Additional file 1: Supplementary 1. A sample of checklist score (Case A1).

The JT-60SA central solenoid (CS), which consists of four stacked modules, is cooled to an operating temperature of 4.5 K by supercritical helium (SHe). During cool-down from room temperature to 4.5 K, in order to avoid a damage on the coil, it is required to reduce thermal stress due to temperature difference in the coil. In the cool-down operation, the CS needs to control the maximum temperature difference in the longitudinal direction of the cable-in-conduit (CIC) conductor below 40 K. However, since that could damage the coil, correctly estimating the temperature distribution in the conductor is important for ensuring the cool-down operation is performed safely. In the present study, the JT-60SA CS module was prepared and the inlet and outlet temperatures, as well as the SHe mass flow rate, were measured until the CS module was cooled to operating temperature, after which a CS module simulation was performed in order to determine the effect of the inlet temperature on the cool-down speed. From the simulation results, it was concluded that the average cool-down speed was 0.73 K/h and the CS module reached 80 K in approximately 8.3 days while maintaining the maximum temperature difference within 40 K. Furthermore, the temperature difference between the inlet and outlet was kept within 25 K in order to limit the thermal stress. Taken together, the results of our analyses provide fundamental data that can be used to evaluate the safe cool-down operation of the coil and thus protect the coil systems.

研究科: 千葉大学大学院医学薬学府（先端医学薬学専攻）, 学位記番号: 千大院医薬博甲第医1840号

Additional file 1. Prescription Drug Questionnaire.

The JT-60SA central solenoid (CS), which consists of four stacked modules, is cooled to an operating temperature of 4.5 K by supercritical helium (SHe). During cool-down from room temperature to 4.5 K, in order to avoid a damage on the coil, it is required to reduce thermal stress due to temperature difference in the coil. In the cool-down operation, the CS needs to control the maximum temperature difference in the longitudinal direction of the cable-in-conduit (CIC) conductor below 40 K. However, since that could damage the coil, correctly estimating the temperature distribution in the conductor is important for ensuring the cooldown operation is performed safely. In the present study, the JT- 60SA CS module was prepared and the inlet and outlet temperatures, as well as the SHe mass flow rate, were measured until the CS module was cooled to operating temperature, after which a CS module simulation was performed in order to determine the effect of the inlet temperature on the cool-down speed. From the simulation results, it was concluded that the average cool-down speed was 0.73 K/h and the CS module reached 80 K in approximately 8.3 days while maintaining the maximum temperature difference within 40 K. Furthermore, the temperature difference between the inlet and outlet was kept within 25 K in order to limit the thermal stress. Taken together, the results of our analyses provide fundamental data that can be used to evaluate the safe cool-down operation of the coil and thus protect the coil systems., Applied Superconductivity Conference 2020 (ASC2020)

Technology entrepreneurs and managers aim to navigate emerging technology ventures and innovations towards successful commercialisation and business development, often over long periods of time. However, this is challenging due to high uncertainties associated with planning and navigating relevant market and business drivers, technological resources and capabilities, and applications. Failure to understand and manage these uncertainties appropriately can lead to undesired consequences and poor outcomes in the realisation of value creation and capture. This research firstly built a knowledge base of technology ventures by conducting a literature review, enabling the development of a conceptual retrospective roadmapping framework as the basis for characterising the emergence of technology ventures. This leads to an analysis of 13 case studies, characterising phases, transitions, patterns, enablers and barriers associated with the emergence of technology ventures. A conceptual model, the so-called ‘emergence archetypes’, was then developed by conducting an in-depth analysis with a further 19 case studies. The concept provides practical insights regarding how emerging technology ventures can be exposed to different levels of technological and market uncertainties along the journey of technology commercialisation and business development. Finally, a strategy visualisation tool and process have been designed based on the research outputs, and a focus group was then conducted with industrial practitioners to review and evaluate the research outputs for practical use in industry. In total, 32 case studies and a focus group have been conducted in the United Kingdom, The Netherlands, Japan, Australia and the United States. Overall, this research demonstrates that characterising technology venture emergence, by applying roadmapping principles, provides significant implications for both researchers and practitioners of strategy and innovation. Success or failure of emerging technology ventures, in terms of value creation and capture, is not only directly related to products or services, but more broadly to the innovation systems in which the technology ventures operate. By demonstrating the characterisation of technology venture emergence, the conceptualisation of emergence archetypes and the strategy visualisation tool and process development, this research shows that applying roadmapping is an appropriate method to characterise and improve emerging technology venturing practices, supporting value creation and capture., The Cambridge Commonwealth, European and International Trust; Research and Development Management Association; Centre for Technology Management, Institute for Manufacturing; Fitzwilliam College, Cambridge; Ministry of Education, Culture, Sports, Science and Technology of Japan