BACKGROUND Korea achieved universal health insurance coverage in only 12 years; however, insufficient government funding has resulted in high out-of-pocket payments and, in turn, a demand for supplementary private health insurance (PHI). Supplementary PHI provides a fixed amount of benefits in the event of critical illness (e.g., cancer or stroke), surgery, or hospitalization. In this study, we...

Background & Objective: The her2 amplification plays an important role in breast cancer management. Therefore, there is a need for using supplementary molecular methods in IHC equivocal cases. Present study has been conducted to determine the effects of clinicopathological variables on her2 gene amplification by chromogenic in situ hybridization (CISH) in IHC ...

Motivation Quantitative models are increasingly used in systems biology. Usually, these quantitative models involve many molecular species and their associated reactions. When simulating a tissue with thousands of cells, using these large models becomes computationally and time limiting. Results In this paper, we propose to construct abstractions using information theory notions. Entropy is u...

In this paper, the authors deal with a complex network having n-identical units in series and two identical standby units for evaluation of its ability measures. The authors have been used supplementary variables technique to formulate the mathematical equations for various flow-states of fig-1(b). These mathematical equations have been solved by the application of Laplace transform. The Laplac...

Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on another variable (regressand). However, a descriptive point of view shows that these coefficients are very bad measures of influence. Their interpretation as an average change of the regressand is only valid if the regressors are weakly correlated, and they are useless when the de...

In this paper, the authors deal with a complex network having n-identical units in series and two identical standby units for evaluation of its ability measures. The authors have been used supplementary variables technique to formulate the mathematical equations for various flow-states of fig-1(b). These mathematical equations have been solved by the application of Laplace transform. The Laplac...

Motivation Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions. Results To overcome this, we developed a new matching algorithm that identifies pairs of related data elements between biobanks and research variables with high precision and recall. It integ...

MOTIVATION We have used state-space models to reverse engineer transcriptional networks from highly replicated gene expression profiling time series data obtained from a well-established model of T-cell activation. State space models are a class of dynamic Bayesian networks that assume that the observed measurements depend on some hidden state variables that evolve according to Markovian dynami...

In this paper, the authors deal with a complex network having n-identical units in series and two identical standby units for evaluation of its ability measures. The authors have been used supplementary variables technique to formulate the mathematical equations for various flow-states of fig-1(b). These mathematical equations have been solved by the application of Laplace transform. The Laplac...