We apply the canonical perturbation theory to the semi–quantal hamiltonian of the SU(3) shell model. Then, we use the Einstein–Brillowin–Keller quantization rule to obtain an analytical semi–quantal formula for the energy levels, which is the usual semi–classical one plus quantum corrections. Finally, a test on the numerical accuracy of the semiclassical approximation and of its quantum correct...

This paper presents a semi-supervised learning algorithm for a control chart pattern recognition system. A learning neural network is trained with labeled control chart patterns based on unsupervised learning. We then use the classification method based on a statistical correlation coefficient approach to test patterns. We find that the proposed semi-supervised learning algorithm is effective a...

Reducing effort and time consumption has always been the main focus in Intelligent Tutoring System Authoring Systems (ITSAS). In this paper, we propose a methodology to semi-automatically annotate test items (questions) using test item analysis in an ITSAS. We also discuss how this mechanism can reduce the overhead of the teachers and make ITS authoring simpler and less time consuming. It is al...

This paper describes the feasibility of using semi-scripted spoken lectures as stimulus materials in a test of academic listening. The context for this study was the development of a revised test of academic listening designed to place enrolled university students into one of two levels of a language support course for non-native speakers. Because academic listening often involves listening to ...

Background: Until now, the comparison of the rK39 strip test (RKT) and direct ag-glutination test (DAT) for detection of visceral leishmaniasis (VL) is exclusively based on either positive or negative qualification of the reaction outcome. Objective: In this study, we compared the diagnostic performance of RKT and DAT for VL both qualitatively and semi-quantitatively. Methods: For comparison ba...