http://nopr.niscpr.res.in/handle/123456789/50458 Mon, 12 Oct 2026 21:23:46 GMT 2026-10-12T21:23:46Z http://nopr.niscpr.res.in/handle/123456789/50493 Title: Predicting Systemic Banking Crises using Extreme Gradient Boosting Authors: Alaminos, D; Fernández-Gámez, M A; Santos, José António C; Campos-Soria, J A Abstract: Considering the great ability of decision trees techniques to extract useful information from large databases and to handle heterogeneous variables, this paper applies Extreme Gradient Boosting for the prediction of systemic banking crises. To this end, prediction models have been constructed for different regions and the whole world. The results obtained show that Extreme Gradient Boosting overcomes the predictive power of existing models in the previous literature and provides more explanatory information on the causes that produce systemic banking crises, being the demand for deposits, the level of domestic credit and banking assets some of the most significant variables. Page(s): 571-575 Sun, 01 Sep 2019 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/50493 2019-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/50492 Title: Strategic alliance with Frenemy in Electric Vehicle Industry for Commercialization Authors: Lim, Dong-Hyun; Sawng, Yeong-wha Abstract: Eco-friendly technologies are crucial for firms to sustain their competitiveness as well as properly cope with international agreement which encourages reducing greenhouse gases. Electric vehicle (EV), in terms of this view, is significant since it would be dominant mobilities in the future by allowing firms to have competitiveness and solving for environmental problems. Hence, it is pivotal for firms to commercialize relevant technologies. In order to this, we used patent analysis to identify firms’ strategic characters and core technology in electric vehicle industry. The analysis of strategic characters was carried out via patent portfolio analysis by calculating patent indicators regarding technology commercialization. Plus, network analysis was carried out to identify the core technologies of firms. With the two results, the final strategic framework for commercialization was established. The framework could be used for choosing appropriate collaboration partners and avoiding useless competition. Page(s): 576-581 Sun, 01 Sep 2019 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/50492 2019-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/50491 Title: The Efficiency of Technology Transfer in Chinese Key Universities Authors: Gao, Qing; He, Feng; Moosa, Anitha; Lv, Quan Abstract: This paper examines the technology transfer efficiency of Chinese universities by using the two-stage DEA model. Moreover, the impact of government funding and reputation on the efficiency was examined as well. The main findings are as follows: (1) technology transfer efficiency of Chinese universities is inefficient, and this is mainly caused by the incompetence of value creation. (2) the effect of government funding on technology transfer efficiency of universities is statistically negative, nonetheless this impact is positively moderated by the university’s reputation. Page(s): 582-585 Sun, 01 Sep 2019 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/50491 2019-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/50490 Title: Selection of Inductor and Capacitor for Buck Converter using Design Equations Comparison Authors: Kaye, R; Kalam, A; Ozansoy, C Abstract: A type of DC-DC step down converter is a Buck converter, they are used in power supplies, computers, electric tools, cars and many other electronic devices. Their purpose is to step down one DC voltage to another DC voltage as efficiently as possible. This efficiency can only be obtained by understanding the fundamentals of the converter and selecting the correct components when designing a converter for an application. The two main components in the converter are the inductor and output capacitor. Various approaches have been taken to find optimum values for these components. This paper will look at some of these methods to assess how appropriate they are in terms of converting the DC voltage to a reduced level through modelling the circuits with MATLAB with values obtained for the inductor and output capacitor from these methods. Page(s): 586-588 Sun, 01 Sep 2019 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/50490 2019-09-01T00:00:00Z