Development of New Indicators for the Launch of Japan Agency for Medical Research and Development (AMED)-Trend Analysis for US NIH Funding
Mari Jibu,
Yoshiyuki Osabe
Issue:
Volume 2, Issue 3, September 2018
Pages:
64-73
Received:
10 September 2018
Accepted:
6 October 2018
Published:
27 October 2018
Abstract: For the sake of providing evidences that contribute to policy making or strategy planning in AMED (a Japanese version of the NIH) and pharmaceutical companies, this study tried to analyze a current state of the pharmaceutical industry based on new indicators and forecast the future thorough a series of papers. In this article, this study tried to give an overview of the funding trends for the drug development o this study analyzed 18,845 contracts between licensors and partners whose headquarters are located in the U.S. As a result, Major companies, SMEs are dealing not only with other SMEs but also dealing actively with government agencies and foundations in U.S. Government involvement is one of the most important aspects, because it provides innovation system structure to link each entity. The foundation also plays the important role as a funding partner in U.S. Focusing the role of SMEs in U.S., there are some transactions that SMEs buy the candidates of major companies on the discovery phase. On the other hands, investment from venture capital firms in Japan is one tenth of that in US. In AMED, introductory service of venture capital, commercialization, and government procurement will become useful systems.
Abstract: For the sake of providing evidences that contribute to policy making or strategy planning in AMED (a Japanese version of the NIH) and pharmaceutical companies, this study tried to analyze a current state of the pharmaceutical industry based on new indicators and forecast the future thorough a series of papers. In this article, this study tried to g...
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Further Promotion of Quadratic Time-Varying Parameters Discrete Grey Model
Issue:
Volume 2, Issue 3, September 2018
Pages:
74-82
Received:
23 October 2018
Accepted:
14 November 2018
Published:
19 December 2018
Abstract: Based on the reason that the traditional buffer operator cannot adjust the action intensity, this paper proposes a positive real order weakening buffer operator, which solves the disadvantage that the original operator cannot be fine-tuned, and is more suitable for real life systems. By defining positive real order weakening buffer operator and according to the combination number and the nature of gamma function, the two are connected, and the positive real order weakening buffer sequence is transformed by gamma function. Next a quadratic time-varying linear parameter grey discrete prediction model (QTDGM) is established by using the constructed positive real order weakening buffer operator. The iterative optimization method of simulation base value is given, and the optimization model is established and the solution algorithm is proposed. Finally, the steps of modeling and forecasting by using QDGM model are described. In the case of science popularization fund forecast and raw coal output forecast, QTDGM model shows superior prediction effect. The relative error of the model is 0.34% ~ 7% in the three cases, which is much lower than that of the model using integer order weakening buffer operator and also lower than that of the linear time-varying parameter grey discrete model. QTDGM is more suitable for complex sample systems.
Abstract: Based on the reason that the traditional buffer operator cannot adjust the action intensity, this paper proposes a positive real order weakening buffer operator, which solves the disadvantage that the original operator cannot be fine-tuned, and is more suitable for real life systems. By defining positive real order weakening buffer operator and acc...
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