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Teaching and Education (T&E) constitute the most
important activity in knowledge transfer from generation to generation. This
can explain why government organizations consider the training of highly
qualified personnel as one of the most important criteria in the selection of
research and development (R&D) grant applications. A university professor
should thus not only play the role of researcher, but also that of teacher.
T&E and R&D combine to form an inseparable relationship for university
professors. By shooting for excellence in T&E, we could get a new
perception of a familiar field or initiate a brand new field altogether, which
would in turn enhance our research. The quest for excellence in R&D leads
to deeper and better understanding of materials taught, and progress in R&D
enriches our T&E endeavors. Here, the author shares a beneficial experience
from T&E to R&D.
By building a game model between the institutional investors and the management, an analysis has been conducted to uncover the influential factors that are crucial to the role switching of institutional investors when confronting tunneling behaviors of the management: supervision cost, shareholding ratio, invisible income, fines and patience. In cases of lower supervision cost, higher shareholding ratios, less invisible income, larger amount of fines, more patience and pursuing long-term gains, institutional investors will tend to play an active role in corporate governance. They will act as an active supervisor to restrain the tunneling behavior of the management.
The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper. Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features. And then, the probabilistic neural network was utilized to classify the proposed gestures with the extracted features. The experimental results showed that most of gestures could acquire the acceptable classification performance and a few elaborate gestures were hard to acquire the effective identification.