The telomerase activity assay has been established for the detection of malignant pleural effusion (MPE), however, the overall diagnostic accuracy of the telomerase activity assay for MPE remains unclear. We performed a systematic search in the Pubmed, Embase and Cochrane databases to identify published studies that have evaluated the diagnostic role of the telomerase activity assay for MPE. Se...

This paper considers discriminative training of acoustic models for Mandarin large vocabulary continuous speech recognition. Two frame-level information cues were explored and integrated into the minimum phone error (MPE) training. First, the frame-level entropy of Gaussian posterior probabilities obtained from the word lattice of the training utterance was exploited to weight the framelevel st...

The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a learning-based inductive approach to build a predictive algorithm selection system from empirical algorithm performance data of the Most Probable Explanation(MPE) problem. The learned model can serve as an algorithm selection me...

This paper, presents ongoing work that extends MetaProbLog with Most Probable Explanation (MPE) inference method. The MPE inference method is widely used in Hidden Markov Models in order to derive the most likely states of a model. Recently, we started developing an application that uses MetaProbLog to models phonocardiograms. We target to use this application in order to diagnose heart disease...

The Minimum Phone Error (MPE) criterion for discriminative training was shown to be able to offer acoustic models with significantly improved performance. This concept was then further extended to Featurespace Minimum Phone Error (fMPE) and offset fMPE for training feature parameters as well. This paper reviews the concept of MPE and reports the experiments and results in performing MPE, fMPE a...

Music is a type of time-series data. As the size data increases, it challenge to build robust music genre classification systems from massive amounts Robust require large labeled data, which necessitates time- and labor-intensive data-labeling efforts expert knowledge. This paper proposes musical instrument digital interface (MIDI) preprocessing method, Pitch Vector (Pitch2vec), deep bidirectio...

PURPOSE The accurate and timely diagnosis of malignant pleural effusion (MPE) in lung cancer patients is important because MPE has a poor prognosis and is classified as stage IV disease. Molecular biomarkers for pleural effusion, such as circulating extracellular microRNAs (miRNAs) isolated from pleural fluid, may help in the diagnosis of MPE. The present study examined whether miRNAs that are ...

OBJECTIVE To determine if injury rates among female field hockey players differ before and after implementation of a national mandate for protective eyewear (MPE). METHODS We analyzed girls' field hockey exposure and injury data collected from national (High School Reporting Information Online [RIO]) and regional (Fairfax County Public Schools) high school sports injury databases in 2 seasons...

Background—Hospital prognosis of moderate to severe pericardial effusion (MPE; 10 mm) in ST-elevation myocardial infarction is largely unknown. Methods and Results—Data from 446 ST-elevation myocardial infarction patients, 228 with MPE—88 with cardiac tamponade (CT) and electromechanical dissociation (EMD), 44 with CT without EMD (w/oEMD), and 96 without initial CT—and 218 with small PE (5 to 9...