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Search Results: 1 - 10 of 117089 matches for " Chen Jian-Min "
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Microstructure and Tribological Properties of Ti5Si3 Coating In-situ Synthesized on Titanium Substrate by Laser Cladding
GUO Chun, ZHOU Jian-Song, CHEN Jian-Min
无机材料学报 , 2012, DOI: 10.3724/sp.j.1077.2012.11661
Abstract: Using silicon powder as the precursor to improve the wear resistance of Ti5Si3 coating was in situ successfully synthesized on Ti substrate by laser cladding. Friction and wear behavior of Ti5Si3 coatings under different normal loads and sliding speeds wear test conditions were evaluated using a UMT-2MT friction and wear tester. It is found that the prepared coating is mainly composed of Ti5Si3 and Ti phases. The high resolution transmission electron microscopy results confirm further the existence of Ti5Si3 compound in the prepared coating. Ti5Si3 coating has spherical and block-like microstructure. The Ti5Si3 coating shows a high average hardness of approximately 840 HV0.2, which is about 4.4 times as that of Ti substrate. Tribological properties of the prepared Ti5Si3 coating were systematically evaluated. It is found that the Ti5Si3 coating can improve the wear resistance of Ti. The wear mechanism of Ti5Si3 coating is abrasive and adhesive wear when sliding against GCr15 steel ball under all wear conditions.
LINE-1 Endonuclease-Dependent Retrotranspositional Events Causing Human Genetic Disease: Mutation Detection Bias and Multiple Mechanisms of Target Gene Disruption
Jian-Min Chen,Claude Férec,David N. Cooper
Journal of Biomedicine and Biotechnology , 2006, DOI: 10.1155/jbb/2006/56182
Abstract: LINE-1 (L1) elements are the most abundant autonomous non-LTR retrotransposons in the human genome. Having recently performed a meta-analysis of L1 endonuclease-mediated retrotranspositional events causing human genetic disease, we have extended this study by focusing on two key issues, namely, mutation detection bias and the multiplicity of mechanisms of target gene disruption. Our analysis suggests that whereas an ascertainment bias may have generally militated against the detection of autosomal L1-mediated insertions, autosomal L1 direct insertions could have been disproportionately overlooked owing to their unusually large size. Our analysis has also indicated that the mechanisms underlying the functional disruption of target genes by L1-mediated retrotranspositional events are likely to be dependent on several different factors such as the type of insertion (L1 direct, L1 trans-driven Alu, or SVA), the precise locations of the inserted sequences within the target gene regions, the length of the inserted sequences, and possibly also their orientation.
Gene Conversion in Human Genetic Disease
Jian-Min Chen,Claude Férec,David N. Cooper
Genes , 2010, DOI: 10.3390/genes1030550
Abstract: Gene conversion is a specific type of homologous recombination that involves the unidirectional transfer of genetic material from a ‘donor’ sequence to a highly homologous ‘acceptor’. We have recently reviewed the molecular mechanisms underlying gene conversion, explored the key part that this process has played in fashioning extant human genes, and performed a meta-analysis of gene-conversion events known to have caused human genetic disease. Here we shall briefly summarize some of the latest developments in the study of pathogenic gene conversion events, including (i) the emerging idea of minimal efficient sequence homology (MESH) for homologous recombination, (ii) the local DNA sequence features that appear to predispose to gene conversion, (iii) a mechanistic comparison of gene conversion and transient hypermutability, and (iv) recently reported examples of pathogenic gene conversion events.
Determ Ination of Low Concentration VOCs in Air by a Newly Designed Needle Trap Device

LI Xiang,CHEN Jian-min,

环境科学 , 2011,
Abstract: Targeting on the problem of atmospheric VOCs that are presenting low concentration and difficult for sampling, a newly designed needle trap device with carboxen 1000 as a sorbent material was developed. The main advantages of needle trap device are the simple methodology,the easiness and the rapidity of the analysis coupling with GC-MS. No solvent was used in all experiments. Volatile analytes benzene, toluene, ethylbenzene and xylenes (BTEX) were chosen as target compounds to validate this device from theory to real application. The experimental parameters as breakthrough volume of stripping gas were investigated. LOD ranges was obtained at 0.05 ng·mL -1, and the standard recovery was from 86.5% to 110.5% respectively. Needle trap device is suitable for sampling in field.
Local sequence determinants of two in-frame triplet deletion/duplication hotspots in the RHD/RHCE genes
Chen Jian-Min,Cooper David N,Férec Claude
Human Genomics , 2012, DOI: 10.1186/1479-7364-6-8
A Network Model of Credit Risk Contagion
Ting-Qiang Chen,Jian-Min He
Discrete Dynamics in Nature and Society , 2012, DOI: 10.1155/2012/513982
A Network Model of Credit Risk Contagion
Ting-Qiang Chen,Jian-Min He
Discrete Dynamics in Nature and Society , 2012, DOI: 10.1155/2012/513982
Abstract: A network model of credit risk contagion is presented, in which the effect of behaviors of credit risk holders and the financial market regulators and the network structure are considered. By introducing the stochastic dominance theory, we discussed, respectively, the effect mechanisms of the degree of individual relationship, individual attitude to credit risk contagion, the individual ability to resist credit risk contagion, the monitoring strength of the financial market regulators, and the network structure on credit risk contagion. Then some derived and proofed propositions were verified through numerical simulations. 1. Introduction In the financial market, behavioral factors of credit risk holders and financial market regulators have very important effect on credit risk contagion, especially the investor sentiment. The market behavioral approach recognizes that investors are not “rational” but “normal”, and that systematic biases in their beliefs induce them to trade on nonfundamental information, called “sentiment” [1]. Some financial economists also recognize that the market has mood swings. The link between asset valuation and investor sentiment soon became the subject of considerable deliberation among financial economists. Theories departing from rational asset pricing often posits the influence of investor sentiment [2], and investor sentiment will lead to fluctuate in prices, and generate risk. Some theoretical studies offer models to establish the relationship between investor sentiment and asset prices [2–4]. These models contain two types of investors: rational arbitrageurs who are sentiment free and irrational traders prone to exogenous sentiment [5]. Baker and Stein [6] find that total sentiment, particularly the global component of total sentiment, is a contrarian predictor of country-level market returns. Baker and Wurgler [5, 7] deem that broad waves of sentiment have greater effects on hard to arbitrage and hard to value stocks, and these stocks will exhibit high “sentiment beta” [8]. Hence, sentiment to the extent influences valuation, taking a position opposite to prevailing market sentiment, can be both expensive and risky. Some theoretical studies show that investor sentiment has very important effect on investor personal investment decisions [9]. Baker and Wurgler [7] point out that sentiment-based mispricing is based on an uninformed demand of some investors, the noise traders, and a limit to arbitrage. Since it is unknown how long buying or selling pressures from overly optimistic or pessimistic noise traders will persist,
Evaluation model for quality of k-anonymity data oriented to microaggregation

CHEN Jian-ming,HAN Jian-min,

计算机应用研究 , 2010,
Abstract: This paper proposed an evaluation model for k-anonymity data from microaggregation, which could evaluate the quality of anonymity data from the aspects of data utility, data security and the trade-off between data utility and data security. Experiments show that the proposed model can evaluate anonymity data based on microaggregation effectively.
INTEGRAL and Swift observations of the Be X-ray binary 4U 1036-56 (RX J1037.5-5647) and its possible relation with gamma-ray transients
Jian Li,Diego F. Torres,Shu Zhang,Alessandro Papitto,Yupeng Chen,Jian-Min Wang
Physics , 2012, DOI: 10.1088/0004-637X/761/1/49
Abstract: We present timing, spectral, and long-term temporal analysis of the high mass X-ray binary (HMXB) 4U 1036-56 using INTEGRAL and Swift observations. We show that it is a weak hard X-ray source spending a major fraction of the time in quiescence, and only occasionally characterized by X-ray outbursts. The outburst activity we report here lasts several days, with a dynamic range spanned by the luminosity in quiescence and in outburst as high as ~30. We report the detection of pulse period at 854.75+/-4.39 s during an outburst, which is consistent with previous measurements. Finally, we analyze the possibility of 4U 1036--56's association with the unidentified transient gamma-ray sources AGL J1037--5708 & GRO J1036--55, as prompted by its positional correlation.
Type-I X-ray bursts reveal a fast co-evolving behavior of the corona in an X-ray binary
Yu-Peng Chen,Shu Zhang,Shuang-Nan Zhang,Jian Li,Jian-Min Wang
Physics , 2013, DOI: 10.1088/2041-8205/752/2/L34
Abstract: The coronae in X-ray binaries (XRBs) still remain poorly understood, although they have been believed for a long time to play a key role in modeling the characteristic outbursts of XRBs. Type-I X-ray bursts, the thermonuclear flashes happening on the surface of a neutron star (NS), can be used as a probe to the innermost region of a NS XRB, where the corona is believed to be located very close to the NS. We report the discovery of a tiny life cycle of the corona that is promptly co-evolved with the type-I bursts superimposed on the outburst of the NS XRB IGR J17473$-$2721. This finding may serve as the first evidence of directly seeing the rapid disappearance and formation of a corona in an XRB with a cooling/heating timescale of less than a second, which can strongly constrain the accretion models in XRBs at work.
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