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Articles by Lin Lu
Total Records ( 3 ) for Lin Lu
  Jun Han , Lin Lu and Hongxing Yang
  This study presents a two-dimensional numerical analysis for thermal control strategies on potential energy savings in a double-pane window integrated with see-through a-Si photovoltaic (PV) cells with low-emittance (low-e) coatings. Both heat transmission through the air gap by combined convection and radiation, and air flow patterns within the cavity of the window were considered. The convection-conducting mechanisms in the cavity of the double-pane window have been closely investigated in this paper. Based on numerical predictions, the effect of Rayleigh number on airflow patterns was investigated for low Rayleigh numbers in the range of 103 less-than-or-equals, slant Ra less-than-or-equals, slant 105. The effect of the low-e coatings on the glazing U-value was also explored in this paper. It was found that a large quantity of heat transfer by radiation could be reduced. This novel glazing system could help engineers’ design in more advanced window systems with building-integrated photovoltaic (BIPV) applications in modern buildings.
  Lin Lu , Feige Yang , Yunhai Liu , Hemin Ni , Lieqin Liu , Hong Zhang , Junzhong Xue , Yong Guo and Peishi Yan
  Butyrolactone-I (BL-I) which is a selective inhibitor of cyclin-dependent kinases, competitively binds p34cdc2 and inhibits meiotic resumption. However, the function of BL-I in improving the synchronization of nuclear and cytoplasmic maturation of mammalian oocytes in vitro remains unknown. In the present study, the effects of different concentrations and durations of BL-I treatment on the In vitro Maturation (IVM) of sheep oocytes were assessed together with the effects after removal of inhibition for different durations. The developmental competence of ovine oocytes was also determined based on the maturation rate and blastocyst rate of ovine parthenogenetic and in vitro fertilized embryos. The ultrastructure of oocytes treated by BL-I was also observed and analyzed by transmission electron microscopy. The germinal vesicle rate was arrested in 62.9% of oocytes treated by in vitro culture for 24 h with 150 μmol L-1 BL-I. The maturation and blastocyst rates of the treatment groups were 70.83 and 20.33% vs. 63.44 and 24.39% in the control but these differences were not significant. The number of blastocysts produced by IVC for 24 h after removal of inhibition was significantly higher than that for the control (71.26±32.68% vs. 66.73±21.64%, p >0.05). Furthermore, electron micrography analysis also showed some differences with regard to the structure of microvilli, mitochondria and granular cells. The BL-I-induced inhibition of nuclear maturation in ovine oocytes did not appear to play a role in improving their IVM and embryonic development via enhancement of the synchronization of nuclear and cytoplasmic maturation but cytoplasmic maturation was still promoted. In conclusion, BL-I reversibly inhibits IVM of ovine oocytes but does not improve their maturation and subsequent in vitro development.
  Lin Lu , Bing Niu , Jun Zhao , Liang Liu , Wen-Cong Lu , Xiao-Jun Liu , Yi-Xue Li and Yu-Dong Cai
  GalNAc-transferase can catalyze the biosynthesis of O-linked oligosaccharides. The specificity of GalNAc-transferase is composed of nine amino acid residues denoted by R4, R3, R2, R1, R0, R1′, R2′, R3′, R4′. To predict whether the reducing monosaccharide will be covalently linked to the central residue R0(Ser or Thr), a new method based on feature selection has been proposed in our work. 277 nonapeptides from reference [Chou KC. A sequence-coupled vector-projection model for predicting the specificity of GalNAc-transferase. Protein Sci 1995;4:1365–83] are chosen for training set. Each nonapeptide is represented by hundreds of amino acid properties collected by Amino Acid Index database (http://www.genome.jp/aaindex) and transformed into a numeric vector with 4554 features. The Maximum Relevance Minimum Redundancy (mRMR) method combining with Incremental Feature Selection (IFS) and Feature Forward Selection (FFS) are then applied for feature selection. Nearest Neighbor Algorithm (NNA) is used to build prediction models. The optimal model contains 54 features and its correct rate tested by Jackknife cross-validation test reaches 91.34%. Final feature analysis indicates that amino acid residues at position R3′ play the most important role in the recognition of GalNAc-transferase specificity, which were confirmed by the experiments [Elhammer AP, Poorman RA, Brown E, Maggiora LL, Hoogerheide JG, Kezdy FJ. The specificity of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase as inferred from a database of in vivo substrates and from the in vitro glycosylation of proteins and peptides. J Biol Chem 1993;268:10029–38; O’Connell BC, Hagen FK, Tabak LA. The influence of flanking sequence on the O-glycosylation of threonine in vitro. J Biol Chem 1992;267:25010–8; Yoshida A, Suzuki M, Ikenaga H, Takeuchi M. Discovery of the shortest sequence motif for high level mucin-type O-glycosylation. J Biol Chem 1997;272:16884–8]. Our method can be used as a tool for predicting O-glycosylation sites and for investigating the GalNAc-transferase specificity, which is useful for designing competitive inhibitors of GalNAc-transferase. The predicting software is available upon the request.
 
 
 
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