OALib Journal期刊

ISSN: 2333-9721




2018 ( 214 )

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2015 ( 2565 )


匹配条件: “Liu Rong” ,找到相关结果约84929条。
Analysis on Influencing Elements of Enterprise Logistics Risk Early Warning: Based on Manufacturing Industries in Beijing Area  [PDF]
Yongsheng Liu, Rong Yu
American Journal of Industrial and Business Management (AJIBM) , 2013, DOI: 10.4236/ajibm.2013.34045

Enterprise logistics risk early warning is an essential part of enterprise logistics risk management, which has been increasingly drawing the attentions of both practical and academic world. However, enterprise logistics risk early warning hasn’t been radically put into practice yet. Therefore, the factors hinder the proceeding of enterprise logistics risk early warning become the key to starting the engine of enterprise logistics risk early warning. In this paper, review of researches on enterprise logistics risk early warning is provided, a questionnaire has been designed according to both exterior and internal factors influencing enterprise logistics risk early warning and a survey on manufacturing industries in Beijing area has been carried out, logistics risk early warning status and influencing elements have been analyzed based on previous survey and advices proposed are concluded to provide valuable references.

The Evolution of Microtubule End-Binding Protein 1 (EB1) and Roles in Regulating Microtubule Behavior  [PDF]
Jiayu Liu, Rong Han
American Journal of Plant Sciences (AJPS) , 2015, DOI: 10.4236/ajps.2015.613212
Abstract: All organisms must transmit genetic information to offspring through cell division, and mitotic spindle participates in the process. Spindle dynamics through depolymerization or polymerization of microtubules generates the driving force required for chromosome movements in mitosis. To date, studies have shown that microtubule arrays control the directions of cell division and diverse microtubule-associated proteins regulate cell division. But a clear picture of how microtubules and microtubule-associated proteins modulate cell division remains unknown. Depletion of end-binding protein 1 by RNA-mediated inhibition shows that one of the microtubule-associated proteins, end-binding protein 1, plays a crucial role in mitotic spindle formation and promotes microtubule dynamics and is needed for the proper segregation of mitotic chromosomes during anaphase in Drosophila cells. Here, we review the properties of end-binding protein 1 and the roles of end-binding protein 1 in regulating microtubule behavior and in cell cycle.
Tribological Behavior of Stellite 720 Coating under Block-on-Ring Wear Test  [PDF]
Rong Liu, Qi Yang, Feng Gao
Materials Sciences and Applications (MSA) , 2012, DOI: 10.4236/msa.2012.311110
Abstract: Stellite 720 is a high-carbon Co-Cr-Mo alloy, designed for severe wear/corrosion environments. This article presents a study of the Stellite 720 coating on stainless steel 304 under block-on-ring wear test. The coating is deposited through a slurry/powder metallurgy sintering process. Micro-hardness indentation test is conducted on the cross section of the coating specimen to investigate the hardness of individual phases of the coating material and the dilution effect of the substrate material on the coating layer. The tribological behavior of the coating under low and high load wear is investigated. The worn surfaces of the coating specimens are analyzed using a Philips XL30S FEG scanning electron micro- scope (SEM) with an EDAX energy dispersive X-ray (EDX) spectroscopy system. The experimental results are discussed to explore the wear mechanisms of the Stellite 720 coating under block-on-ring wear.
The Effects of He-Ne Laser and Enhanced Ultraviolet-B Radiation on Proliferating-Cell Nuclear Antigen in Wheat Seedlings  [PDF]
Feifeng Liu, Huize Chen, Rong Han
American Journal of Plant Sciences (AJPS) , 2015, DOI: 10.4236/ajps.2015.68124
Abstract: The level of ultraviolet-B (UV-B) radiation on the Earth’s surface has increased due to depletion of the ozone layer. Here, we explored the effects of continuous wave He-Ne laser irradiation (632 nm, 5 mW·mm-2, 2 min·d-1) on proliferating-cell nuclear antigen (PCNA) damage repair function of wheat seedlings exposed to enhanced UV-B radiation (10.08 kJ·m-2·d-1) at the early growth stages. Wheat seedlings were irradiated with enhanced UV-B, He-Ne laser treatment or a combination of the two. We explored the transcripts of PCNA in each treatment group using RT-PCR. In addition, total proteins were extracted from the 7-day-old wheat leaves, analyzed by SDS-PAGE and identified by western blot. The results showed that the transcription of PCNA was weakened following UV-B radiation compared to the control. However, when seedlings were subjected to elevated UV-B-damaging radiation followed by He-Ne laser irradiation, the expression of PCNA was signifi-cantly higher than UV-B radiation alone. These results suggest that He-Ne laser has an active role in repairing the UV-B damaging effects. In order to further investigate the function of PCNA, dynamic arrangements of PCNA in wheat root-tip cells were observed with confocal laser scanning microscopy (CLSM). The PCNA was marked fluorescent dimming and strength weakened in en-hanced UV-B radiation (UV-B) compared with the control group (CK) during processing. It shows that PCNA may be involved in the separation of chromosomes.
Different Doses of the Enhanced UV-B Radiation Effects on Wheat Somatic Cell Division  [PDF]
Feifeng Liu, Huize Chen, Rong Han
CellBio (CellBio) , 2015, DOI: 10.4236/cellbio.2015.42004
Abstract: Being sessile, plants are continuously exposed to DNA-damaging agents presenting in the environment such as ultraviolet (UV). Sunlight acts as an energy source for photosynthetic plants; hence, avoidance of UV radiations (namely, UV-A, 315 - 400 nm; UV-B, 280 - 315 nm; and UV-C, <280 nm) is unpreventable. DNA in particular strongly absorbs UV-B; therefore, it is the most important target for UV-B induced damages. This paper mainly used different doses of the enhanced UV-B radiation (B1 group: 4.05 kJ•m-2•d-1, B2 group: 10.08 kJ•m-2•d-1, B3 group: 7.05 kJ•m-2•d-1, B4 group: 23.02 kJ•m-2•d-1) treatment wheat, then, explored on the growth of wheat root and wheat root tip cell of chromosome aberration effect. In wheat, root-tip cells were observed with confocal laser scanning microscopy (CLSM), the results showed that low doses of B1 group (4.05 kJ•m-2•d-1) promoted the growth of wheat root and cell mitosis frequency. But high dose of B2 group (10.08 kJ•m-2•d-1), B3 group (17.05 kJ•m-2•d-1), B4 group (23.02 kJ•m-2•d-1) inhibited the growth of wheat root tip, and made crooked growth of wheat root, and inhibited the wheat root tip cell mitotic frequency and processed that induce root tip cells of wheat produce all kinds of aberration of chromosome in the interphase containing “multiple nucleoli nuclei”, “incomplete nuclei”, “long round nuclei”, “bean sprouts nucleus”. In mitosis M period contains “dissociative chromosome”, “chromosome bridge”, “adhesion chromosome”, “multi-bundle divide”, “nuclear anomalies”. After, high doses of enhanced UV-B radiation treatment, most of the cell cycle anomaly concentrated in mitosis interphase. In mitosis M period, with UV-B radiation dose enhanced chromosome aberration rate was on the rise and the aberration types also increasing.
Computational Prediction of Heme-Binding Residues by Exploiting Residue Interaction Network
Rong Liu,Jianjun Hu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0025560
Abstract: Computational identification of heme-binding residues is beneficial for predicting and designing novel heme proteins. Here we proposed a novel method for heme-binding residue prediction by exploiting topological properties of these residues in the residue interaction networks derived from three-dimensional structures. Comprehensive analysis showed that key residues located in heme-binding regions are generally associated with the nodes with higher degree, closeness and betweenness, but lower clustering coefficient in the network. HemeNet, a support vector machine (SVM) based predictor, was developed to identify heme-binding residues by combining topological features with existing sequence and structural features. The results showed that incorporation of network-based features significantly improved the prediction performance. We also compared the residue interaction networks of heme proteins before and after heme binding and found that the topological features can well characterize the heme-binding sites of apo structures as well as those of holo structures, which led to reliable performance improvement as we applied HemeNet to predicting the binding residues of proteins in the heme-free state. HemeNet web server is freely accessible at http://mleg.cse.sc.edu/hemeNet/.
HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information
Rong Liu, Jianjun Hu
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-207
Abstract: Here we introduced an efficient algorithm HemeBIND for predicting heme binding residues by integrating structural and sequence information. We systematically investigated the characteristics of binding interfaces based on a non-redundant dataset of heme-protein complexes. It was found that several sequence and structural attributes such as evolutionary conservation, solvent accessibility, depth and protrusion clearly illustrate the differences between heme binding and non-binding residues. These features can then be separately used or combined to build the structure-based classifiers using support vector machine (SVM). The results showed that the information contained in these features is largely complementary and their combination achieved the best performance. To further improve the performance, an attempt has been made to develop a post-processing procedure to reduce the number of false positives. In addition, we built a sequence-based classifier based on SVM and sequence profile as an alternative when only sequence information can be used. Finally, we employed a voting method to combine the outputs of structure-based and sequence-based classifiers, which demonstrated remarkably better performance than the individual classifier alone.HemeBIND is the first specialized algorithm used to predict binding residues in protein structures for heme ligands. Extensive experiments indicated that both the structure-based and sequence-based methods have effectively identified heme binding residues while the complementary relationship between them can result in a significant improvement in prediction performance. The value of our method is highlighted through the development of HemeBIND web server that is freely accessible at http://mleg.cse.sc.edu/hemeBIND/ webcite.The heme cofactor, an extremely versatile prosthetic group, is essential and important for virtually all organisms [1]. Hemes can be classified into different types based on their chemical structures. In nature, th
Dirichlet problem related to a class of superprocesses
Liu Zhen,Wu Rong
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02883210
Numerical Simulation of Low-Reynolds-Number and High-Lift Airfoil S1223
Rong Ma,Peiqing Liu
Lecture Notes in Engineering and Computer Science , 2009,
Spin wave approach to the two-magnon Raman scattering in an J1x-J1y-J2-Jc antiferromagnetic Heisenberg model
Changle Liu,Rong Yu
Physics , 2015,
Abstract: We study the two-magnon non-resonant Raman scattering in the (pi,pi) and (pi,0) ordered antiferromagnetic phases of a J1x-J1y-J2-Jc Heisenberg model on the tetragonal lattice within the framework of the spin-wave theory. We discuss the effects of various tuning factors to the two-magnon Raman spectra. We find that both the magnetic frustration J2/J1 and the interlayer exchange coupling Jc may significantly affect the spectra in both the B1g and A1g' channels in the (pi,pi) Neel ordered phase. Moreover, we find a splitting of the two-magnon peak in the (pi,0) antiferromagnetic phase. We further discuss the implications of our results to the BaMnBi2 and iron pnictide systems.

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