Yan L.,Harbin University of Commerce |
Lamb R.F.,University of Alberta
Seminars in Cell and Developmental Biology | Year: 2012
Amino acids play fundamental roles in the cell both as the building blocks of new proteins and as metabolic precursors. To adapt to their limitation during periods of protein starvation, multiple adaptive mechanisms have evolved, including a rapid cessation of new protein synthesis, an increase in amino acid biosynthesis and transport, and autophagy. Here, we discuss what we currently know about how amino acid limitation is sensed, and how this sensing might be transmitted to mTORC1 to regulate protein synthesis and autophagy. © 2012 Elsevier Ltd.
Guan H.,Harbin University of Commerce |
Yu J.,Northeast Forestry University |
Chi D.,Northeast Forestry University
Food Control | Year: 2013
A sensitive and simple label-free colorimetric method for determination of melamine was development based on the aggregation of chitosan-stabilized gold nanoparticles (AuNPs). AuNPs were prepared by reducing gold salt with a polysaccharide, chitosan, in the presence of tripolyphosphate (TPP). Here, chitosan acted as a reducing/stabilizing agent. The obtained gold nanoparticles were characterized with UV-vis spectroscopy and transmission electron microscopy. The presence of melamine led to a shift in the surface plasmon bond and a color change of chitosan-stabilized AuNPs from red to dark blue. Results showed that the absorbance ratio (A650/A520) was linear with the logarithm of melamine concentration in the range of 10-5-10-2 g/L with a correlation coefficient of 0.996. The limit of detection (LOD) obtained by UV-vis spectrum was 6 × 10-6 g/L. The proposed method was applied successfully to the determination of melamine in pretreated liquid milk products, and the recoveries were from 85% to 107%. The method is rather simple, and the whole process including sample pretreatment takes only 20 min at room temperature. The merits (such as simplicity, rapidity, low cost and visual colorimetry) make the proposed method useful for on-site screening melamine levels well below the current safety limit in raw milk. © 2012 Elsevier Ltd.
Han K.,Harbin University of Commerce
Genetics and molecular research : GMR | Year: 2011
To solve the class imbalance problem in the classification of pre-miRNAs with the ab initio method, we developed a novel sample selection method according to the characteristics of pre-miRNAs. Real/pseudo pre-miRNAs are clustered based on their stem similarity and their distribution in high dimensional sample space, respectively. The training samples are selected according to the sample density of each cluster. Experimental results are validated by the cross-validation and other testing datasets composed of human real/pseudo pre-miRNAs. When compared with the previous method, microPred, our classifier miRNAPred is nearly 12% more accurate. The selected training samples also could be used to train other SVM classifiers, such as triplet-SVM, MiPred, miPred, and microPred, to improve their classification performance. The sample selection algorithm is useful for constructing a more efficient classifier for the classification of real pre-miRNAs and pseudo hairpin sequences.
Lan L.,Harbin University of Commerce
Proceedings of 2012 International Conference on Measurement, Information and Control, MIC 2012 | Year: 2012
The future Internet of Things as an intelligent collaboration of miniaturized sensors poses new challenges to security and end-user privacy, the security in the IOT is one of the core technologies that will influence the security and sustainable development of the IOT. Therefore, a well-defined security architecture and security system for the IOT will have great impact on the save application and sustainable development of the IOT. This paper tends to analyze the security requirements in different layers of the IOT, and hence establish a security architecture system for the IOT, expecting to offer a theoretical reference for the establishment of reliable security systems of information for the IOT in the future. © 2012 IEEE.
Shen X.,Harbin University of Commerce
Advances in Information Sciences and Service Sciences | Year: 2011
As service outsourcing is growing, there is a focus on the formation and development of service supply chain. One of the key elements of service supply chain is concerned with the service quality surveillance. In the paper a service supply chain composed of one service supplier and one service integrator was proposed and a Bayesian Nash equilibrium model under asymmetric information was established based on a basic model of quality surveillance and an equilibrium result obtained. And the impact on service quality surveillance was considered with a factor that the service integrator would be punished and the result of the Bayesian Nash equilibrium was realized. Simulation results showed that the quality completion level of service supplier rise up and the quality surveillance level of integrator bring down as above factor introduced. Therefore, in practice, the level of service can be improved effectively and the whole quality of services outsourcing would be enhanced through strengthening the punishment of integrator.