A major challenge in systems biology is to understand the relationship between a circuit's structure and its function, but how is this relationship affected if the circuit must perform multiple distinct functions within the same organism? In particular, to what extent do multi-functional circuits contain modules which reflect the different functions? Here, we computationally survey a range of b...

Stochastic expression is a hallmark of the Ly49 family that encode the main MHC class-I-recognizing receptors of mouse natural killer (NK) cells. This highly polygenic and polymorphic family includes both activating and inhibitory receptor genes and is one of genome's fastest evolving loci. The inhibitory Ly49 genes are expressed in a stochastic mono-allelic manner, possibly under the control o...

Nowadays, several solutions can be obtained from business intelligence product vendors for building business intelligence system. However, based on our experience in implementing business intelligence system in telecommunications, many practical challenges and problems are emerging continuously when we use the above products to integrate and mine business intelligence from operational systems a...

Traffic flow prediction is one of the basic, key problems with developing an intelligent transportation system since accurate and timely traffic can provide information support decision for control guidance. However, due to complex characteristics information, it still a challenging task. This paper proposes novel hybrid deep learning model short-term by considering inherent features data. The ...

Air quality forecasting has been regarded as the key problem of air pollution early warning and control management. In this article, we propose a novel deep learning model for (mainly PM2.5) forecasting, which learns spatial-temporal correlation features interdependence multivariate related time series data by hybrid architecture. Due to nonlinear dynamic characteristics data, base modules our ...

A coupled hybridizable discontinuous Galerkin (HDG) and boundary integral (BI) method is proposed to efficiently analyze electromagnetic scattering from inhomogeneous/composite objects. The coupling between the HDG BI equations realized using numerical flux operating on equivalent current global unknown of HDG. This approach yields sparse matrices upon discretization. Inclusion equation ensures...

BiSbTe-based nanocomposites hybridized with ceramic nanoparticles have recently revealed their higher efficiency as thermoelectric materials for near room-temperature applications, compared to the traditional BiTe-SbTe alloys. Herein, incorporation of ultra-small Bi nanoprecipitates into microstructure a Bi0.5Sb1.5Te3/Sb2O3 nanocomposite and consequential effects on thermal electrical transport...