Patient survival is one of the most important measures of cancer patient care (the diagnosis and treatment of cancer). The optimal method for monitoring the progress of patient care across the full spectrum of provider settings is through the population-based study of cancer patient survival, which is only possible using data collected by population-based cancer registries. The probability of c...

The authors propose a novel class of cure rate models for right-censored failure time data. The class is formulated through a transformation on the unknown population survival function. It includes the mixture cure model and the promotion time cure model as two special cases. The authors propose a general form of the covariate structure which automatically satisfies an inherent parameter constr...

The samples were prepared according to the routine work for sample preparation in dental laboratories. After reaching dough stage, the mixture packed into dumbbell shaped of stainless steel mould and pressed in a hydraulic bench press for 25 min at room temperature. For heat-cure, the polymerization cycle was carried out using water bath, while self-cure done at room temperature. The residual m...

This paper investigates the problem of verifying the pronunciations of phonemes from continuous utterances collected from impaired children speakers engaged in a speech therapy session. A new pronunciation verification (PV) approach based on the subspace Gaussian mixture model (SGMM) is presented. A single SGMM is trained from test utterances collected from impaired and unimpaired speakers. PV ...

effect of partial natural rubber replaced with synthetic rubbers, styrene butadiene and cis butadiene, on failure and strength properties of bias tread nr/br based compound was studied by efficient and conventional sulfur curing systems and mixtures of different carbon black grades. it was observed that failure behavior comprising tear resistance and crack growth in substituted compounds droppe...

in this paper, a new method is presented for the detection of defects in random textures. in the training stage, the feature vectors of the normal textures’ images are extracted by using the optimal response of gabor wavelet filters, and their probability density is estimated by means of the gaussian mixture model (gmm). in the testing stage, similar to the previous stage,at  first, the feature...