Entity

Time filter

Source Type


Liu J.,Central China Normal University
BMC genomics | Year: 2012

Multi-objective optimization (MOO) involves optimization problems with multiple objectives. Generally, theose objectives is used to estimate very different aspects of the solutions, and these aspects are often in conflict with each other. MOO first gets a Pareto set, and then looks for both commonality and systematic variations across the set. For the large-scale data sets, heuristic search algorithms such as EA combined with MOO techniques are ideal. Newly DNA microarray technology may study the transcriptional response of a complete genome to different experimental conditions and yield a lot of large-scale datasets. Biclustering technique can simultaneously cluster rows and columns of a dataset, and hlep to extract more accurate information from those datasets. Biclustering need optimize several conflicting objectives, and can be solved with MOO methods. As a heuristics-based optimization approach, the particle swarm optimization (PSO) simulate the movements of a bird flock finding food. The shuffled frog-leaping algorithm (SFL) is a population-based cooperative search metaphor combining the benefits of the local search of PSO and the global shuffled of information of the complex evolution technique. SFL is used to solve the optimization problems of the large-scale datasets. This paper integrates dynamic population strategy and shuffled frog-leaping algorithm into biclustering of microarray data, and proposes a novel multi-objective dynamic population shuffled frog-leaping biclustering (MODPSFLB) algorithm to mine maximum bicluesters from microarray data. Experimental results show that the proposed MODPSFLB algorithm can effectively find significant biological structures in terms of related biological processes, components and molecular functions. The proposed MODPSFLB algorithm has good diversity and fast convergence of Pareto solutions and will become a powerful systematic functional analysis in genome research. Source


Zhang X.,Ewha Womans University | Yin J.,Ewha Womans University | Yin J.,Central China Normal University | Yoon J.,Ewha Womans University
Chemical Reviews | Year: 2014

The use of fluorescence and colorimetric chemosensors to detect chiral molecules has been a central focus of recent efforts in the field of sensor technologies, owing to the fact that enantiomerically pure compounds and drugs have unparalleled importance in bioscience, clinical medicine, and bionics areas. The most involved chiral recognition mechanism with these sensors is based on hydrogen bond interaction that is employed successfully in organic solvents. This confines these sensors to be used for the water-soluble chiral analyte detections and the chiral recognition applications in physiological environment. The development of the chiral sensors that can be used efficiently in aqueous solutions, such as boronic acid-based sensors or electrostatic sensing systems, should be the focused task in this area. The polymer-based sensors have the capacities to amplify the chiral recognition signal further enhancing the sensitivity and the enantioselectivity. Those macrocyclic scaffolds can utilize their rigid structures to improve the enantioselectivity in the chiral recognition process. Source


Fu J.,Central China Normal University
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2013

The first four cumulants and ratios of cumulants of net-proton multiplicity distributions are calculated within the hadron resonance gas model. Quantum statistics, resonance decay contributions and the van der Waals excluded volume corrections are taken into account in the model calculations. The corrections due to quantum statistics are small even at the lower RHIC energies. The van der Waals excluded volume procedure leads to a larger suppression of the particle number fluctuations, especially for higher order cumulants. The STAR most central data on the various order cumulants and moment products at the higher RHIC energies are generally below the Poisson expectations and better described by the van der Waals gas with a hadron radius around r=. 0.3. fm. © 2013 Elsevier B.V. Source


Luo X.,Central China Normal University
Nuclear Physics A | Year: 2013

We present the measurements of the higher moments of the net-proton multiplicity distributions in Au + Au collisions from the first phase of the beam energy scan program at RHIC. The measurements are carried out at midrapidity (|y| < 0.5) and within the transverse momentum range 0.4 < p T < 0.8 GeV/c by STAR. We report the centrality and energy dependence of the moment products (κσ2 and Sσ), with σ2, S and κ being the variance, skewness and kurtosis, respectively. These moment products are related to the ratios of various order baryon number susceptibilities and sensitive to the correlation length, and hence can be used to search for the QCD critical point. The results are compared to the Poisson expectations, as well as transport model calculations to understand the contributions from effects not related to critical physics. © 2013 Elsevier B.V. Source


Zhang Y.,Central China Normal University
PloS one | Year: 2013

Formaldehyde, a ubiquitous environmental pollutant has been classified as a human leukemogen. However, toxicity of formaldehyde in bone marrow, the target site of leukemia induction, is still poorly understood. To investigate bone marrow toxicity (bone marrow pathology, hematotoxicity) and underlying mechanisms (oxidative stress, inflammation, apoptosis) in formaldehyde-exposed mice. Male Balb/c mice were exposed to formaldehyde (0, 0.5, and 3.0 mg/m(3)) by nose-only inhalation for 8 hours/day, over a two week period designed to simulate a factory work schedule, with an exposure-free "weekend" on days 6 and 7, and were sacrificed on the morning of day 13. Counts of white blood cells, red blood cells and lymphocytes were significantly (p<0.05) decreased at 0.5 mg/m(3) (43%, 7%, and 39%, respectively) and 3.0 mg/m(3) (52%, 27%, and 43%, respectively) formaldehyde exposure, while platelet counts were significantly increased by 109% (0.5 mg/m(3)) and 67% (3.0 mg/m(3)). Biomarkers of oxidative stress (reactive oxygen species, glutathione depletion, cytochrome P450 1A1 and glutathione s-transferase theta 1 expression), inflammation (nuclear factor kappa-B, tomour necrosis factor alpha, interleukin-1 beta), and apoptosis (activity of cysteine-aspartic acid protease 3) in bone marrow tissues were induced at one or both formaldehyde doses mentioned above. Exposure of mice to formaldehyde by inhalation induced bone marrow toxicity, and that oxidative stress, inflammation and the consequential apoptosis jointly constitute potential mechanisms of such induced toxicity. Source

Discover hidden collaborations