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Search Results: 1 - 10 of 168923 matches for " LI Jian-Jun "
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HOW UNDERGROUND FINANCING IMPACTS MACROECONOMIC MOVEMENTS IN CHINA
Jian-jun LI
Management Science and Engineering , 2007,
Abstract: This paper looks at the scale of underground financing and analyzes its impact upon macroeconomic movements. After measuring the sizes of net underground financial investment, net flow of cross-border underground funds, underground money, underground loan, we judge the impact of these different underground financial indexes on economic equilibrium, growth and economic efficiency. Finally, we find a reasonable scale of underground financing and draw the conclusion that underground financing impacts and counteraction should be considered by government economic regulatory departments in setting macroeconomic policies. Key words: Underground Financing, Scale Measurement, Macroeconomic Movements
Research on Life Signals Detection Based on Higher Order Statistics
Jian-Jun Li
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i6.1597
Abstract: The life signals are built on harmonic mode for their low frequency, quasi-periodicity, low SNR, and the easy submerged in strong clutter noise. The method for detecting life signal based on adaptive filter and high order statistics is presented, in which neither the Gaussian supposition of the observed signal, nor a prior information about the waveform and arrival time of the observed signal is necessary. The principle of method is to separate the spectrum of input signal into many narrow frequency bands, whose Sub-band signal is followed by a short-time estimation of higher-order statistics so as to suppress Gaussian noises. Simulated results show that the method can effectively detect life signals from noise with good convergence speed and stability, and greatly improve the signal quality with respect to LMS method.
Charged Amino Acid Frequencies of Proteins over Macroevolutionary Time Scale  [PDF]
Yu-Juan Zhang, Jian-Jun Li, You-Jin Hao, Bin Chen
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B086
Abstract:

Charged amino acids (AAs) are targets for selective forces in protein evolution. To fully explore the trend of charged AA frequencies evolution in macroevolutionary process from prokaryotes to eukaryotes, we extend the analysis of five charged AAs separately and total basic and acidic AAs in protein sequences of 158 prokaryotic and 63 eukaryotic predicted proteomes and 456 clusters of orthologous groups (COGs). Also, we eliminate the biases that may caused by extreme organisms in both predicted proteomes and COGs analyses. More basic AAs, His,Lysand Glu were found in eukaryotic proteins compared with prokaryotic proteins by predicted proteomes analysis. By COGs analysis, we found that basic AAs andLysfrequencies are higher in eukaryotic orthologous proteins than their prokaryotic companions, while the trend of Arg frequency is the opposite. We discussed the agreements and disagreements of two analyses and gained a more credible trend of charged AAs evolution in macroevolutionary time scale.

Pairwise alignment of the DNA sequence using hypercomplex number representation
Jian-Jun Shu,Li Shan Ouw
Quantitative Biology , 2014, DOI: 10.1016/j.bulm.2004.01.005
Abstract: A new set of DNA base-nucleic acid codes and their hypercomplex number representation have been introduced for taking the probability of each nucleotide into full account. A new scoring system has been proposed to suit the hypercomplex number representation of the DNA base-nucleic acid codes and incorporated with the method of dot matrix analysis and various algorithms of sequence alignment. The problem of DNA sequence alignment can be processed in a rather similar way as pairwise alignment of protein sequence.
Hypercomplex cross-correlation of DNA sequences
Jian-Jun Shu,Yajing Li
Quantitative Biology , 2014, DOI: 10.1142/S0218339010003470
Abstract: A hypercomplex representation of DNA is proposed to facilitate comparing DNA sequences with fuzzy composition. With the hypercomplex number representation, the conventional sequence analysis method, such as, dot matrix analysis, dynamic programming, and cross-correlation method have been extended and improved to align DNA sequences with fuzzy composition. The hypercomplex dot matrix analysis can provide more control over the degree of alignment desired. A new scoring system has been proposed to accommodate the hypercomplex number representation of DNA and integrated with dynamic programming alignment method. By using hypercomplex cross-correlation, the match and mismatch alignment information between two aligned DNA sequences are separately stored in the resultant real part and imaginary parts respectively. The mismatch alignment information is very useful to refine consensus sequence based motif scanning.
A statistical thin-tail test of predicting regulatory regions in the Drosophila genome
Jian-Jun Shu,Yajing Li
Quantitative Biology , 2014, DOI: 10.1186/1742-4682-10-11
Abstract: Background: The identification of transcription factor binding sites (TFBSs) and cis-regulatory modules (CRMs) is a crucial step in studying gene expression, but the computational method attempting to distinguish CRMs from NCNRs still remains a challenging problem due to the limited knowledge of specific interactions involved. Methods: The statistical properties of cis-regulatory modules (CRMs) are explored by estimating the similar-word set distribution with overrepresentation (Z-score). It is observed that CRMs tend to have a thin-tail Z-score distribution. A new statistical thin-tail test with two thinness coefficients is proposed to distinguish CRMs from non-coding non-regulatory regions (NCNRs). Results: As compared with the existing fluffy-tail test, the first thinness coefficient is designed to reduce computational time, making the novel thin-tail test very suitable for long sequences and large database analysis in the post-genome time and the second one to improve the separation accuracy between CRMs and NCNRs. These two thinness coefficients may serve as valuable filtering indexes to predict CRMs experimentally. Conclusions: The novel thin-tail test provides an efficient and effective means for distinguishing CRMs from NCNRs based on the specific statistical properties of CRMs and can guide future experiments aimed at finding new CRMs in the post-genome time.
A statistical fat-tail test of predicting regulatory regions in the Drosophila genome
Jian-Jun Shu,Yajing Li
Quantitative Biology , 2014, DOI: 10.1016/j.compbiomed.2012.07.007
Abstract: A statistical study of cis-regulatory modules (CRMs) is presented based on the estimation of similar-word set distribution. It is observed that CRMs tend to have a fat-tail distribution. A new statistical fat-tail test with two kurtosis-based fatness coefficients is proposed to distinguish CRMs from non-CRMs. As compared with the existing fluffy-tail test, the first fatness coefficient is designed to reduce computational time, making the novel fat-tail test very suitable for long sequences and large database analysis in the post-genome time and the second one to improve separation accuracy between CRMs and non-CRMs. These two fatness coefficients may be served as valuable filtering indexes to predict CRMs experimentally.
A Threshold Signature Scheme Based on TPM  [PDF]
Zhi-Hua Zhang, Si-Rong Zhang, Wen-Jin Yu, Jian-Jun Li, Bei Gong, Wei Jiang
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.410075
Abstract: For the traditional threshold signature mechanism does not considers whether the nodes which generate part signature are trusted and the traditional signature strategy doesn’t do well in resisting internal attacks and external attacks and collusion attacks, so this paper presents a new threshold signature based on Trusted Platform Module (TPM), based on TPM the signature node first should finish the trust proof between it an other members who take part in the signature. Using a no-trusted center and the threshold of the signature policy, this strategy can track active attacks of the key management center and can prevent framing the key management center, this strategy takes into account the limited computing power TPM and has parameters of simple, beneficial full using of the limited computing power TPM.
Predictors and clinical outcomes for spontaneous rupture of hepatocellular carcinoma
Qian Zhu,Jing Li,Jian-Jun Yan,Liang Huang
World Journal of Gastroenterology , 2012, DOI: 10.3748/wjg.v18.i48.7302
Abstract: AIM: To determine the risk factors for hepatocellular carcinoma (HCC) rupture, and report the management and long-term survival results of patients with spontaneous rupture of HCC. METHODS: Among 4209 patients with HCC who were diagnosed at Eastern Hepatobiliary Surgery Hospital from April 2002 to November 2006, 200 (4.8%) patients with ruptured HCC (case group) were studied retrospectively in term of their clinical characteristics and prognostic factors. The one-stage therapeutic approach to manage ruptured HCC consisted of initial management by conservative treatment, transarterial embolization (TACE) or hepatic resection. Results of various treatments in the case group were evaluated and compared with the control group (202 patients) without ruptured HCC during the same study period. Continuous data were expressed as mean ± SD or median (range) where appropriate and compared using the unpaired t test. Categorical variables were compared using the Chi-square test with Yates correction or the Fisher exact test where appropriate. The overall survival rate in each group was determined using the Kaplan-Meier method and a log-rank test. RESULTS: Compared with the control group, more patients in the case group had underlying diseases of hypertension (7.5% vs 3.0%, P =0.041) and liver cirrhosis (87.5% vs 56.4%, P < 0.001), tumor size >5 cm (83.0% vs 57.4%, P < 0.001), tumor protrusion from the liver surface (66.0% vs 44.6%, P < 0.001), vascular thrombus (30.5% vs 8.9%, P < 0.001) and extrahepatic invasion (36.5% vs 12.4%, P < 0.001). On multivariate logistic regression analysis, underlying diseases of hypertension (P = 0.002) and liver cirrhosis (P < 0.001), tumor size > 5 cm (P < 0.001), vascular thrombus (P = 0.002) and extrahepatic invasion (P < 0.001) were predictive for spontaneous rupture of HCC. Among the 200 patients with spontaneous rupture of HCC, 105 patients underwent hepatic resection, 33 received TACE, and 62 were managed with conservative treatment. The median survival time (MST) of all patients with spontaneous rupture of HCC was 6 mo (range, 1-72 mo), and the overall survival at 1, 3 and 5 years were 32.5%, 10% and 4%, respectively. The MST was 12 mo (range, 1-72 mo) in the surgical group, 4 mo (range, 1-30 mo) in the TACE group and 1 mo (range, 1-19 mo) in the conservative group. Ninety-eight patients in the control group underwent hepatic resection, and the MST and median disease-free survival time were 46 mo (range, 6-93 mo) and 23 mo (range, 3-39 mo) respectively, which were much longer than that of patients with spontaneous rupture of H
Interleukin-17 plays a critical role in the acute rejection of intestinal transplantation
Jian-Jun Yang,Fan Feng,Liu Hong,Li Sun
World Journal of Gastroenterology , 2013, DOI: 10.3748/wjg.v19.i5.682
Abstract: AIM: To investigate the role of interleukin (IL)-17 in small bowel allograft rejection. METHODS: We detected the expression of helper T cell 17 (Th17) cells in biopsy specimens from 3 cases of living small bowel transplantation in our department through immunofluorescence stain. We then established a rat heterotopic small bowel transplantation model. The rats were sacrificed on the 1st, 2nd, 3rd, 5th, and 7th d after small bowel transplantation. The degrees of transplantation rejection in rat intestine graft were examined through hematoxylin eosin (HE) stain, and the expression of Th17 cells in rat intestine graft were detected through immunofluorescence stain. In addition, the recipient rats undergoing intestinal transplantation were administrated with mouse-anti-rat IL-17 monoclonal antibody (mAb), and the survival of rats was analyzed. The recipient rats which received mouse-anti-rat IL-17 mAb treatment were sacrificed on the 1st, 2nd, 3rd, 5th, and 7th d after small bowel transplantation. The degrees of transplantation rejection and the expression of Th17 cells in rat intestine graft were detected through HE and immunofluorescence stain. The expression of IL-17, IL-1β, tumor necroses factor receptor-α (TNF-α), IL-6, and IL-8 in the intestine graft or serum were also detected. RESULTS: The expressions of Th17 cells ran parallel with the degree of acute rejection in human intestine grafts. The intestine graft rejection of rats was aggravated with prolonged duration after intestinal transplantation, and the expressions of Th17 cells were also correlated with the degree of acute rejection in rat intestine grafts. Administration of mouse-anti-rat IL-17 mAb prolonged the survival of rats after small bowel transplantation (P < 0.001). Furthermore, we found that the administration of mouse-anti-rat IL-17 mAb significantly decreased the intensity of CD4+IL-17+ Th17 cells in intestine grafts on the 2nd, 3rd, 5th, and the 7th d (97.22 ± 4.05 vs 12.45 ± 2.02 on the 7th d, P < 0.0001), and suppressed the severity of acute rejection. The expression of IL-17 in the intestine graft declined after mouse-anti-rat IL-17 mAb administration on the 2nd, 3rd, 5th, and the 7th d (0.88 ± 0.03 vs 0.35 ± 0.02 on the 7th d, P < 0.0001). We also detected the IL-17 serum level and found that the IL-17 level reduced from the 1st d to the 7th d (6.52 ± 0.18 ng/mL vs 2.04 ± 0.15 ng/mL on the 7th d, P < 0.0001). No significant difference in the level of IL-17 mRNA in the intestine graft was identified between the two groups. The levels of IL-1β, TNF-α, IL-6, and IL-8 mRNA in the int
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