One of the most commonly used discriminative approaches in parameter estimation for Hidden Markov Models is the Minimum Classification Error (MCE) method ([1]). This paper studies possible choices for the classes (i.e. basic speech units) in MCE training and their application for several tasks suitable for speech driven dialog systems in the telephone environment. The considered choices of clas...

STUDY DESIGN A systematic review. OBJECTIVE The aim of this review was to evaluate the effectiveness of motor control exercise (MCE) in patients with nonspecific low back pain (LBP). SUMMARY OF BACKGROUND DATA MCE is a common form of exercise used for managing LBP. MCE focuses on the activation of the deep trunk muscles and targets the restoration of control and coordination of these muscle...

Purpose: Low-dose dobutamine echocardiography (LDDE) has been demonstrated as an accurate imaging modality to identify viability after acute myocardial infarction (AMI), but LDDE has its limitations. Myocardial contrast echocardiography (MCE) is a good tool to assess microvascular perfusion. This study was undertaken to compare the effect of real-time MCE and LDDE in early assessment of left ve...

This research is an integration of GIS and multi-criteria decision making into a joint framework for identifying suitable areas for rainwater harvesting structures. The Kavir National park in Iran has been evaluated for suitability of rainwater harvesting. To this end, slope gradient, distance to guarding stations, distance to watering points for transporting collected water, distribution of wi...

BACKGROUND The MCE, Momordica charantia fruit extract Linn. (Cucurbitaceae) have been documented to elicit hypoglycemic activity on various occasions. However, due to lack of standardization of these extracts, their efficacy remains questionable. The present study was undertaken by selecting a well standardised MCE. This study reports hypoglycemic and antilipidemic activities of MCE employing r...

evaluating and selecting alternatives investment projects needs considering all relevant and important aspects. in traditional methods, the focus is just on tangible monetary criteria. also in the traditional methods, either all the information’s about factors must be known precisely or sufficient objective data must be available for applying probability theory. in this paper, a combinative app...