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Search Results: 1 - 10 of 48676 matches for " Qiang Lin "
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Template-Monomer Interaction in Molecular Imprinting: Is the Strongest the Best?  [PDF]
Xuewen Fu, Qiang Yang, Qiang Zhou, Qiang Lin, Chun Wang
Open Journal of Organic Polymer Materials (OJOPM) , 2015, DOI: 10.4236/ojopm.2015.52007
Abstract: Molecularly imprinted polymers (MIPs) represent a new class of materials possessing high selectivity and affinity for the target molecule. They have been utilized as sensors, catalysts, sorbents for solid-phase extraction, stationary phase for liquid chromatography, mimics of enzymes, receptors, and antibodies. In this research, molecular imprinted polymers (MIPs) for luteolin were prepared using acrylamide, 4-vinylpyridine and 1-allyl-piperazine as functional monomers and ethylene glycol dimethacrylate as cross-linker by non-covalent imprinting method. UV-visible spectra were used to evaluate the interaction strength between the template and the monomers. The composites of the polymers were calculated from elementary analysis. The porous properties of the imprinted polymers have been determined from nitrogen adsorption-desorption isotherms. The imprinting efficiency of the prepared MIPs was evaluated by selective adsorption for luteolin and its structural analogues. Although the interaction strength of monomers to the template was in the order 1-ALPP > 4-VP > AA, the binding affinity of the imprinted polymers towards luteolin was in the order MIP 2 > MIP 3 > MIP 1. Our results demonstrated that the imprinting efficiency was depending not only on the interaction strength between the template and the monomer, but also on the fidelity in transferring the complex into the polymer.
Computation and Analysis of Propellant and Levitation Forces of a Maglev System Using FEM Coupled to External Circuit Model  [PDF]
Shiyou Yang, Lin Yang, Qiang Zhou
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2010, DOI: 10.4236/jemaa.2010.24034
Abstract: This paper studies the propellant and levitation forces of a prototype maglev system where the propellant forces are provided by a linear motor system. For this purpose, the mathematical model and method using finite element method coupled to external circuit model is developed. The details of the propellant and levitation forces for a prototype maglev system under different operating conditions are investigated, and some directions are given for practical engineering applications.
Detecting Dementia-Related Wandering Locomotion of Elders by Leveraging Active Infrared Sensors  [PDF]
Qiang Lin, Weichao Zhao, Weilan Wang
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.65008
Abstract: For elders with dementia, wandering is among the most problematic, frequent and dangerous behavior. Managing wandering behavior has become increasingly imperative due to its high prevalence, negative outcomes and burden on caregivers. We study to propose an active infrared-based method to identify wandering locomotion by monitoring rhythmical repetition of an elder’s indoor motion events. Specifically, we utilize our customized active infrared sensors to collect human indoor motions that will be converted into motion events by using hardware redundancy technique. Each motion event is a directed motion obtained via introducing temporal and dimensions into the spatial motion data. Based on the most cited spatial-temporal patterns of wandering locomotion, a spatiotemporal model is then proposed to identify wandering locomotion from an ongoing sequence of motion events. Experimental evaluation on eight individuals’ real-world motion datasets has shown that our proposed method is able to effectively identify wandering locomotion from repetitive events collected from active infrared sensors with a value over 98% for both accuracy and precision based on properly chosen parameters. Wandering in elders with dementia that follow specific spatiotemporal patterns can be reliably identified by analyzing repetitive motion events collected from active infrared sensors based on the well-known spatiotemporal patterns of wandering locomotion.
Partner Selection in a Virtual Enterprise: A Group Multiattribute Decision Model with Weighted Possibilistic Mean Values
Fei Ye,Qiang Lin
Mathematical Problems in Engineering , 2013, DOI: 10.1155/2013/519629
Abstract: This paper proposes an extended technique for order preference by similarity to ideal solution (TOPSIS) for partner selection in a virtual enterprise (VE). The imprecise and fuzzy information of the partner candidate and the risk preferences of decision makers are both considered in the group multiattribute decision-making model. The weighted possibilistic mean values are used to handle triangular fuzzy numbers in the fuzzy environment. A ranking procedure for partner candidates is developed to help decision makers with varying risk preferences select the most suitable partners. Numerical examples are presented to reflect the feasibility and efficiency of the proposed TOPSIS. Results show that the varying risk preferences of decision makers play a significant role in the partner selection process in VE under a fuzzy environment. 1. Introduction A virtual enterprise (VE) is a type of temporary alliance of independent, geographically dispersed organizations that aim to share skills and resources to exploit low-cost fast-changing market opportunities and achieve high-quality customer satisfaction [1–6]. VEs have become prevalent because of the increasing customer demands in the present global economy and the increasing complexity and diminishing life cycle of products. A VE is formed and dissolved by the appearance and disappearance of market opportunities, respectively. A VE faces many important issues throughout its life cycle. Given the role of partners in the success of a VE, the proper selection of partners has received considerable research attention. Literature on partner selection can be divided into two categories. The first literature category involves the information environment, wherein the verdicts of decision makers on candidate partners can be expressed in precise values. Various approaches have been proposed for VE partner selection. Talluri and Baker [7] proposed a two-phase mathematics programming method. Wu et al. [8] developed an integer-programming method to minimize the transportation cost by geographic position and transportation approach. Ip et al. [1] described a risk-based partner selection problem and developed a mathematical programming model. Jarimo and Pulkkinen [9] presented a mixed-integer linear programming model to configure the virtual organization. Zhao et al. [10] developed a nonlinear integer-programming model to solve VE partner selection problems with precedence and due date constraints. Ng [11] proposed a weighted linear program to solve the multicriteria supplier selection problem. Other researchers simultaneously
Partially coherent matter wave and its evolution
Jun Chen,Qiang Lin
Physics , 2007, DOI: 10.1016/j.optcom.2007.10.082
Abstract: The evolution and propagation of a partially coherent matter wave (PCMW) is investigated theoretically by the correlation function method. The ABCD matrix formalism previously used for a fully coherent matter wave is extended to the PCMW domain. A new ABCD law is derived, using a tensor method to describe the evolution of a PCMW. An analytical solution of the first-order correlation function is obtained that makes the propagation and evolution of a PCMW very simple and clear. As an example, the propagation of a PCMW in a gravitational field is calculated numerically.
Research Progress of PR Domain Zinc Finger Protein 14
Yudong HAN, Qiang LIN
- , 2016, DOI: : 10.3779/j.issn.1009-3419.2016.02.06
Abstract: PR domain zinc finger protein 14 (PRDM14) is an important member of the PRDM family, PRDM14 plays a key role in the maintenance of cell integrity and differentiation, growth and apoptosis of the cell. It also plays an critical role in the formation of primordial germ cells, the maintenance of the totipotency of stem cells and the formation of tissues and organs. PRDM14 bears a single PR domain and six tandemly repeated zinc ?ngers, which is involved in the process of the deacetylation and methylation of the histone, and is involved in the formation of tumor trough the change level of methylation in the promoter region. The abnormal methylation of PRDM14 can change the chromatin structure, DNA conformation and the interaction mode of DNA and protein, it can suppress transcription and expression of the gene, which caused the occurrence, development and metastasis of tumor. The research progress of PRDM14 is reviewed based on the relevant literatures published in China and abroad.
Research on Voltage Losses of AT Traction Power Supply System  [PDF]
Yujie Xia, Guosong Lin, Liya Guo, Qiang Li
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B150

Unilateral power supply system has been used because of the management status of the power grid system, while, bilateral power supply system is adopted in the Soviet Union and France. The feasibility that whether bilateral system can be put applied in China is discussed. Compared with unilateral power supply system, bilateral system has better reliability and better capability of supply power system, which gives bilateral system more advantages over unilateral system on both engineering investment and operating efficiency. In this paper, voltage losses under the two different systems are calculated and also compared, the advantages of bilateral system is explored and then conclusion is drawn by referring to the practical data of passenger transport lines.

Transcriptional regulatory programs underlying barley germination and regulatory functions of Gibberellin and abscisic acid
Yong-Qiang An, Li Lin
BMC Plant Biology , 2011, DOI: 10.1186/1471-2229-11-105
Abstract: The studies examined transcriptomes of barley representing six distinct and well characterized germination stages and revealed that the transcriptional regulatory program underlying barley germination was composed of early, late, and post-germination phases. Each phase was accompanied with transcriptional up-regulation of distinct biological pathways. Cell wall synthesis and regulatory components including transcription factors, signaling and post-translational modification components were specifically and transiently up-regulated in early germination phase while histone families and many metabolic pathways were up-regulated in late germination phase. Photosynthesis and seed reserve mobilization pathways were up-regulated in post-germination phase. However, stress related pathways and seed storage proteins were suppressed through the entire course of germination. A set of genes were transiently up-regulated within three hours of imbibition, and might play roles in initiating biological pathways involved in seed germination. However, highly abundant transcripts in dry barley and Arabidopsis seeds were significantly conserved. Comparison with transcriptomes of barley aleurone in response to GA and ABA identified three sets of germination responsive genes that were regulated coordinately by GA, antagonistically by ABA, and coordinately by GA but antagonistically by ABA. Major CHO metabolism, cell wall degradation and protein degradation pathways were up-regulated by both GA and seed germination. Those genes and metabolic pathways are likely to be important parts of transcriptional regulatory networks underlying GA and ABA regulation of seed germination and seedling growth.The studies developed a model depicting transcriptional regulatory programs underlying barley germination and GA and ABA regulation of germination at gene, pathway and systems levels, and established a standard transcriptome reference for further integration with various -omics and biological data to
Analysis of the Bacterial Communities in Lime Concretion Black Soil upon the Incorporation of Crop Residues  [PDF]
Shao-Qiang Tao, Qiang Xia, Lin Zhu, Jing-jing Chen, Ya- Nan Wang, Bing Qin
Open Journal of Soil Science (OJSS) , 2012, DOI: 10.4236/ojss.2012.23037
Abstract: To analyze the bacterial communities in lime concretion black soil upon the incorporation of crop residues for two years in wheat-maize system, total DNA was directly extracted and PCR-amplified with the F357GC and R518 primers targeting the 16S rRNA genes of V3 region. The amplified fragments were analyzed by perpendicular DGGE. Analyzing of species richness index S and Shannon diversity index H revealed that there was a high diversity of soil bacterial community compositions among all treatments after incorporation of crop residues and fertilizing under field conditions. Eleven DGGE bands recovered were re-amplified, sequenced. Phylogenetic analysis of the representative DGGE fingerprints identified four groups of the prokaryotic communities in the soil by returning wheat residues and fertilizing under field conditions. The bacterial communities belonged to gamma proteobacterium, Cupriavidus sp, halophilic eubacterium, Acidobacterium sp, Sorangium sp, delta proteobacterium, Streptococcus sp and Streptococcus agalactiae were main bacterial communities. Principal Component Analysis (PCA) showed that there were the differences in DNA profiles among the six treatments. It showed that wheat residue returning, maize residue returning and fertilizing all can improve bacterial diversity in varying degrees. As far as improvement of bacterial diversity was concerned, wheat residue returning was higher than fertilizing, and fertilizing higher than maize residue returning.
Hybrid Ant Colony Algorithm Clonal Selection in the Application of the Cloud's Resource Scheduling
Jianbiao Lin,Yukun Zhong,Xiaowei Lin,Hui Lin,Qiang Zeng
Computer Science , 2014,
Abstract: In this paper, thinking over characteristics of ant colony optimization Algorithm, taking into account the characteristics of cloud computing, combined with clonal selection algorithm (CSA) global optimum advantage of the convergence of the clonal selection algorithm (CSA) into every ACO iteration, speeding up the convergence rate, and the introduction of reverse mutation strategy, ant colony optimization algorithm avoids local optimum. Depth study of the cloud environment ant colony clonal selection algorithm resource scheduling policy, clonal selection algorithm converges to solve optimization problems when sufficient condition for global optimal solution based on clonal selection algorithm for various applications such as BCA and CLONALG algorithm, using these sufficient condition to meet and simulation platform CloudSim achieve a simulation by extending the cloud. Experimental results show that this task can be shortened fusion algorithm running time cloud environment, improve resource utilization. Demonstrate the effectiveness of the method.
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