1,167 research outputs found

    Corrigendum

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    Chen ZQ, Liu Y, Zhao JH, Wang L, Feng NP. Improved oral bioavailability of poorly water-soluble indirubin by a supersaturatable self-microemulsifying drug delivery system. International Journal of Nanomedicine. 2012;7:1115–1125.Figures 1 and 4 have been corrected.Read the original article

    On various parameters of Zq-simplex codes for an even integer q

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    In this paper, we defined the Zq-linear codes and discussed its various parameters. We constructed Zq-Simplex code and Zq-MacDonald code and found its parameters. We have given a lower and an upper bounds of its covering radius for q is an even integer.The first author would like to gratefully acknowledge the UGC-RGNF[Rajiv Gandhi National Fellowship], New Delhi for providing fellowship The second author was supported by a grant(SR/S4/MS:588/09) for the Department of Science and Technology, New Delh

    On various parameters of Zq-simplex codes for an even integer q

    No full text
    In this paper, we defined the Zq-linear codes and discussed its various parameters. We constructed Zq-Simplex code and Zq-MacDonald code and found its parameters. We have given a lower and an upper bounds of its covering radius for q is an even integer.The first author would like to gratefully acknowledge the UGC-RGNF[Rajiv Gandhi National Fellowship], New Delhi for providing fellowship The second author was supported by a grant(SR/S4/MS:588/09) for the Department of Science and Technology, New Delh

    Structure-based design of 7-carbamate analogs of geldanamycin

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    The 7-carbamate groups of geldanamycin and its 17-(2-dimethylaminoethyl)amino-17-demethoxy derivative (17-DMAG) bind the N-terminal domain of Hsp90 by establishing a network of hydrogen bonds which involve four buried water molecules. In this study, a structure-based approach was used to investigate the effects of displacing some of these waters by modification of the 7-carbamate. A general loss of binding to human Hsp90 was observed, except for replacement of the carbamate with a hydroxamate group which gave an analog with weak activity. Modeling of Hsp90-ligand interactions suggested that the hydroxamate was not able to displace the buried water molecules, while bulkier substituents able to do so proved inactive

    Fuzzy Decision Tree Based Inference Techniques for Network Forensic Analysis

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    Liu ZQ, Lin DD, Feng DG. Fuzzy decision tree based inference techniques for network forensic analysis

    Untargeted UHPLC-MS Metabolomics Reveals the Metabolic Perturbations of Helicoverpa armigera under the Stress of Novel Insect Growth Regulator ZQ-8

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    According to the previous research of our group, we found compound ZQ-8 ((1S,2R,4S)-1,3,3-trimethylbicyclo [2.2.1]heptan-2-yl-4-(tert-butyl)benzoate). This compound showed a strong growth inhibitory effect on Helicoverpa armigera by inhibiting chitinase 2 and endochitinase. To further understand the mechanism of ZQ-8 interfering with the growth and development of H. armigera, ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) was utilized to analyze the metabolomics of the epidermis and viscera of H. armigera after ZQ-8 stress. The results revealed that the content of most metabolites was down-regulated after ZQ-8 treatment. Through the analysis of metabolic pathways, it was found that ZQ -8 mainly interfered with energy metabolism and amino acid biosynthesis pathways, which may be one of the important factors in which ZQ-8 caused the death of H. armigera larvae. Furthermore, ZQ-8 not only inhibits chitin degradation but also inhibits chitin synthesis in vivo. These findings provide new insights into a better understanding of the mechanism of action of ZQ-8

    Quantized phenomena in graphene nanoripples

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    In this study, a previously published continuum model for a stretched sheet was adapted to the case of a compressed sheet to understand the geometry of graphene nanoripples. The validity of the model is tested by comparing with experimental data. Furthermore, the existence of an intrinsic wavelength is revealed based on a simple mechanical analysis, and is confirmed by the quantized feature of the experimental data. Although only graphene nanoripples are investigated in this study, it is believed that such quantized phenomena could exist in other two-dimensional (2D) materials and even in superthin films. Thus, it is believed that the model proposed in this study can help develop the control of nanoripples as an engineering method for future applications. (C) 2015 Elsevier Ltd. All rights reserved

    Machine learning and landslide studies: recent advances and applications

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    Upon the introduction of machine learning (ML) and its variants, in the form that we know today, to the landslide community, many studies have been carried out to explore the usefulness of ML in landslide research and to look at some classic landslide problems from an ML point of view. ML techniques, including deep learning methods, are becoming popular to model complex landslide problems and are starting to demonstrate promising predictive performance compared to conventional methods. Almost all the studies published in the literature in recent years belong to one of the following three broad categories: landslide detection and mapping, landslide spatial forecasting in the form of susceptibility mapping, and landslide temporal forecasting. In this paper, we present a brief overview of ML techniques, provide a general summary of the landslide studies conducted, in recent years, in the three above-mentioned categories, and make an attempt to critically evaluate the use of ML methods to model landslide processes. The paper also provides suggestions for future use of these powerful data-driven techniques in landslide studies
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