Xuzhou Institute of Technology

About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.

Reverse engineering gene regulatory network based on complex-valued ordinary differential equation model.

Abstract: BACKGROUND The growing researches of molecular biology reveal that complex life phenomena have the ability to demonstrating various types of interactions in the level of genomics. To establish the interactions between genes or proteins and understand the intrinsic mechanisms of biological systems have become an urgent need and study hotspot. RESULTS In order to forecast gene expression data and identify more accurate gene regulatory network, complex-valued version of ordinary differential equation (CVODE) is proposed in this paper. In order to optimize CVODE model, a complex-valued hybrid evolutionary method based on Grammar-guided genetic programming and complex-valued firefly algorithm is presented. CONCLUSIONS When tested on three real gene expression datasets from E. coli and Human Cell, the experiment results suggest that CVODE model could improve 20-50% prediction accuracy of gene expression data, which could also infer more true-positive regulatory relationships and less false-positive regulations than ordinary differential equation.

Hybrid genetic algorithm and application to PID controllers

Abstract: In order to overcome simple genetic algorithm detects of worse local searching ability and premature convergence, a hybrid genetic algorithm was proposed. The novel algorithm was based on particle swarm optimization and interval algorithm, and applied to parameters optimization of PID controllers by applying particle swarm optimization to the mutation operation, and employing interval algorithm in population initialization of genetic algorithm. The simulation and experimental results show that the novel algorithm is superior to simple genetic algorithm, can overcome premature phenomena, improve the convergence precision and speed, reduce the influence of random initial population, and has advantages such as excellent optimization ability, high rate of convergence and good stability.

Estimation and testing for panel data partially linear single-index models with errors correlated in space and time

Abstract: We consider a panel data partially linear single-index models (PDPLSIM) with errors correlated in space and time. A serially correlated error structure is adopted for the correlation in time. We pr...

Riemann-Stieltjes Operator from the General Space to Zygmund-Type Spaces on the Unit Ball

Abstract: In this paper, the authors characterize the boundedness and compactness of Riemann–Stieltjes operator from the general space $$F(p, q, s)$$ to Zygmund-type spaces $${\mathcal Z}_{\mu }$$ on the unit ball and some necessary and sufficient conditions of the Riemann–Stieltjes operator to be bounded and compact are obtained.