Prokaryotic genomic sequence data provides a rich resource for bioinformatic analytic algorithms. Information can be extracted in many ways from the sequence data. One often overlooked process involves investigating an organism’s codon usage. Degeneracy in the genetic code leads to multiple codons coding for the same amino acids. Organism’s often preferentially utilize specific codons when codi...

This paper estimates returns to education in India using a nationally representative survey. We estimate the standard Mincerian wage equation separately for rural and urban sectors. To account for the possibility of sample selection bias, Heckman two-step procedure is used. The findings indicate that returns to education increase with the level of education and differ for rural and urban reside...

Breast ultrasound (BUS) imaging is an imaging modality used for the detection and diagnosis of breast lesions and it has become a crucial modality nowadays specially for providing a complementary view when other modalities (i.e. mammography) are not conclusive. However, lesion detection in ultrasound images is still a challenging problem due to the presence of artifacts such as low contrast, sp...

We present and analyse a model of protein translation at the scale of an individual messenger RNA (mRNA) transcript. The model we develop is unique in that it incorporates the phenomena of ribosome recycling and nonsense errors. The model conceptualizes translation as a probabilistic wave of ribosome occupancy traveling down a heterogeneous medium, the mRNA transcript. Our results show that the...

We report a Global Positioning System (GPS) baseline determination which includes bias fixing (carrier phase ambiguity solutions) and tropospheric corrections based on simultaneous water vapor radiometer (WVR) observations. Measurements were obtained using single-wavelength codeless GPS receivers and dual-wavelength WVRs at each end of a 22-kin baseline near Boulder, Colorado, during three even...

The 3D Cell Structure Code (3D-CSC) is a fast region growing technique. However, directly adapted for segmentation of magnetic resonance (MR) brain images it has some limitations due to the variability of brain anatomical structure and the degradation of MR images by intensity inhomogeneities and noise. In this paper an improved approach is proposed. It starts with a preprocessing step which co...

Varying coeecient models result from generalized linear models by allowing the parameter of the linear predictor to vary across some additional explanatory quantity called eeect modiier. While Hastie & Tibshirani (1993) have used spline smoothing techniques in varying-coeecient models with univariate response here the local likelihood approach is considered within the framework of multivariate ...

an artificial neural network has been used to determine the volume flux and rejections of ca2+ , na+ and cl¯, as a function of transmembrane pressure and concentrations of ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. the feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidden la...

Background and Objectives: Progressive muscle relaxation (PMR) training as part of an educational program for patients involved in pathologic and physiological events (PPE) can have important physiological and psychological benefits for the patients, and can affect various dimensions of their lives including the quality of life. This systematic review and meta-analysis was conducted to determin...

errors and variations in interpretation can happen in clinical imaging. few studies have examined the biased effect of clinical information on reporting of brain ct scans. in a blinded double crossover design, we studied whether three radiologists were biased by clinical information when making ct scan diagnosis of the brain. three consultant radiologists in three rounds with at least a one-mon...