Through theoretical analysis of the statistics of stochastic calcium (Ca) release (i.e., the amplitude, duration and inter-event interval of simulated Ca puffs and sparks), we show that a Langevin description of the collective gating of Ca channels may be a good approximation to the corresponding Markov chain model when the number of Ca channels per Ca release unit (CaRU) is in the physiologica...

A study was conducted to determine the ability of neural networks to extract high level control information from cylinder pressure data. Various experiments were performed us ing neural networks for pattern recognition on a series of data files consist ing of cylinder pressure versus crank angle. The goal of these experiments was to estimate spark timing based on the cylinder pressure signature...

We consider the numerical solution of systems of index 2 implicit differential-algebraic equations (DAEs) by a class of super partitioned additive Runge-Kutta (SPARK) methods. The families of Lobatto IIIA-B-C-C-D methods are included. We show super-convergence of optimal order 2s−2 for the s-stage Lobatto families provided the constraints are treated in a particular way which strongly relies on...

Parallel algorithms, such as the ant colony algorithm, take a long time when solving large-scale problems. In this paper, the MAX-MIN Ant System algorithm (MMAS) is parallelized to solve Traveling Salesman Problem (TSP) based on a Spark cloud computing platform. We combine MMAS with Spark MapReduce to execute the path building and the pheromone operation in a distributed computer cluster. To im...

While sequential pattern mining (SPM) is an import application in uncertain databases, it is challenging in efficiency and scalability. In this paper, we develop a dynamic programming (DP) approach to mine probabilistic frequent sequential patterns in distributed computing platform Spark. Directly applying the DP method to Spark is impractical because its memory-consuming characteristic may cau...

Abstract: Mine ventilation system is critical for maintaining safe working conditions in an underground coal mine. At present, there exist some problems in developing mine ventilation software such as long development cycle, redevelopment, low commercialization and weak extensibility. The traditional digital mine ventilation systems is complicated to be modified or extended after published unle...

Machine learning practitioners are increasingly interested in applying their algorithms to Big Data. Unfortunately, current high-level languages for data analytics in the cloud (e.g., [2, 15, 16, 5]) do not fully cover this domain. One key missing ingredient is means to express iteration over the data (e.g., [19]). Zaharia et al., were the first to answer this call from a systems perspective wi...

Transcriptional assays, such as yeast two-hybrid and TANGO, that convert transient protein-protein interactions (PPIs) into stable expression of transgenes are powerful tools for PPI discovery, screens, and analysis of cell populations. However, such assays often have high background and lose information about PPI dynamics. We have developed SPARK (Specific Protein Association tool giving trans...