A bacterial strain (AD26) capable of utilizing atrazine as a sole nitrogen source for growth was isolated from an industrial wastewater sample by enrichment culture. The 16S rRNA gene sequencing identified AD26 as an ...A bacterial strain (AD26) capable of utilizing atrazine as a sole nitrogen source for growth was isolated from an industrial wastewater sample by enrichment culture. The 16S rRNA gene sequencing identified AD26 as an Arthrobacter sp. PCR assays indicated that AD26 contained atrazine-degrading genes trzN and atzBC. The trzN gene of AD26 only differs from the trzN of Arthrobacter aurescens TC1 by one base (A→T at 907) and one amino acid (Met→Leu at 303). The specific activity of trzN of AD26 in crude cell ext...展开更多
Eleven new imine derivatives 6 containing 1H-1,2,4-triazole and thiazole rings were synthesized by the condensation of 5-((1H- 1,2,4-triazol-1-yl)methyl)-4-tert-butylthiazol-2-amine with various substituted benzaldehy...Eleven new imine derivatives 6 containing 1H-1,2,4-triazole and thiazole rings were synthesized by the condensation of 5-((1H- 1,2,4-triazol-1-yl)methyl)-4-tert-butylthiazol-2-amine with various substituted benzaldehydes.The structures of the title compounds were characterized by ~1H NMR,MS and elemental analysis.The plant-growth regulatory activities of these compounds were evaluated.The primary bioassay results indicated that these target compounds exhibited promising plant-growth regulatory activities.展开更多
With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for a...With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for application in various fields, such as nonlinear programming problems. In this article, a novel neural network nonlinear predic-tive control （NNPC） strategy baseed on the new Tent-map chaos optimization algorithm （TCOA） is presented. Thefeedforward neural network＇is used as the multi-step predictive model. In addition, the TCOA is applied to perform the nonlinear rolling optimization to enhance the convergence and accuracy in the NNPC. Simulation on a labora-tory-scale liquid-level system is given to illustrate the effectiveness of the proposed method.展开更多
A new heterocyclic compound,named 5,5 -diisobutoxy-2,2 -bifuran(1),and four known compounds(2-5) were isolated from the roots of Cyathula officinalis Kuan.Their structures were elucidated by spectroscopic methods.Amon...A new heterocyclic compound,named 5,5 -diisobutoxy-2,2 -bifuran(1),and four known compounds(2-5) were isolated from the roots of Cyathula officinalis Kuan.Their structures were elucidated by spectroscopic methods.Among these compounds,5,5 - dibutoxy-2,2 -bifuran(2) was isolated for the first time from this plant.展开更多
A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and th...A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and the orthogonalleast square method is constructed to approach the nonlinear system. Since its consequence is linear, it can divide the nonlinear system into a number of linear or nearly linear subsystems. For this T-S fuzzy model, a GPC algorithm with input constraints is presented. This strategy takes into account all the constraints of the control signal and its increment, and does not require the calculation of the Diophantine equations. So it needs only a small computer memory and the computational speed is high. The simulation results show a good performance for the nonlinear systems.展开更多
AIM:To investigate the prevalence and time of Dickkopf(DKK) family methylation and its clinical significance in hepatocarcinogenesis. METHODS:Methylation of DKK family genes was quantitatively analyzed in 115 liver ti...AIM:To investigate the prevalence and time of Dickkopf(DKK) family methylation and its clinical significance in hepatocarcinogenesis. METHODS:Methylation of DKK family genes was quantitatively analyzed in 115 liver tissue samples,including 50 pairs of primary hepatocellular carcinoma(HCC) and matched noncancerous cirrhotic tissue samples,as well as 15 liver cirrhosis biopsy samples. RESULTS:The methylation level of DKK3 was significantly higher in HCC tissue samples than in matched noncancerous cirrhotic tissue samples(P<0.0001) orin liver cirrhosis biopsy samples(P=0.0139) .Receiver operator characteristic curve analysis confirmed that the percent of methylated reference(PMR) values of DKK3 could effectively discriminate HCC tissue samples from noncancerous tissue samples(AUC=0.8146) or liver cirrhosis biopsy samples(AUC=0.7093) .Kaplan-Meier survival curves revealed that the progression-free survival time of patients with a higher DKK3 methylation level(PMR >1%) was significantly shorter than that of those with a lower DKK3 methylation level(PMR≤1%)(P=0.0255) . Multivariate Cox analysis indicated that methylated DKK3 was significantly and independently related with a shorter survival time(relative risk=2.527,95%CI:1.063-6.008,P=0.036) of HCC patients. CONCLUSION:Methylation of DKK3 is an important event in early malignant transformation and HCC progression,and therefore might be a prognostic indicator for risk assessment of HCC.展开更多
General neural network inverse adaptive controller has two flaws: the first is the slow convergence speed; the second is the invalidation to the non-minimum phase system. These defects limit the scope in which the neu...General neural network inverse adaptive controller has two flaws: the first is the slow convergence speed; the second is the invalidation to the non-minimum phase system. These defects limit the scope in which the neural network inverse adaptive controller is used. We employ Davidon least squares in training the multi-layer feedforward neural network used in approximating the inverse model of plant to expedite the convergence, and then through constructing the pseudo-plant, a neural network inverse adaptive controller is put forward which is still effective to the nonlinear non-minimum phase system. The simulation results show the validity of this scheme.展开更多
文摘A bacterial strain (AD26) capable of utilizing atrazine as a sole nitrogen source for growth was isolated from an industrial wastewater sample by enrichment culture. The 16S rRNA gene sequencing identified AD26 as an Arthrobacter sp. PCR assays indicated that AD26 contained atrazine-degrading genes trzN and atzBC. The trzN gene of AD26 only differs from the trzN of Arthrobacter aurescens TC1 by one base (A→T at 907) and one amino acid (Met→Leu at 303). The specific activity of trzN of AD26 in crude cell ext...
基金the National Natural Science Foundation of China(No.20772068)the National Key Project of Scientific and Technical Supporting Programs of China(No.2006BAE01A01-5) for financial support
文摘Eleven new imine derivatives 6 containing 1H-1,2,4-triazole and thiazole rings were synthesized by the condensation of 5-((1H- 1,2,4-triazol-1-yl)methyl)-4-tert-butylthiazol-2-amine with various substituted benzaldehydes.The structures of the title compounds were characterized by ~1H NMR,MS and elemental analysis.The plant-growth regulatory activities of these compounds were evaluated.The primary bioassay results indicated that these target compounds exhibited promising plant-growth regulatory activities.
基金Supported by the National Natural Science Foundation of China （No.60374037, No.60574036）, the Program for New Century Excellent Talents in University of China （NCET）, the Specialized Research Fund for the Doctoral Program of Higher Education of China （No.20050055013）, .and the 0pening Project Foundation of National Lab of Industrial Control Technology （No.0708008）.
文摘With the unique erggdicity, i rregularity, and.special ability to avoid being trapped in local optima, chaos optimization has been a novel global optimization technique and has attracted considerable attention for application in various fields, such as nonlinear programming problems. In this article, a novel neural network nonlinear predic-tive control （NNPC） strategy baseed on the new Tent-map chaos optimization algorithm （TCOA） is presented. Thefeedforward neural network＇is used as the multi-step predictive model. In addition, the TCOA is applied to perform the nonlinear rolling optimization to enhance the convergence and accuracy in the NNPC. Simulation on a labora-tory-scale liquid-level system is given to illustrate the effectiveness of the proposed method.
基金the Natural Science Foundation of Tianjin(No.06YFJMJC15800) for the financial support.
文摘A new heterocyclic compound,named 5,5 -diisobutoxy-2,2 -bifuran(1),and four known compounds(2-5) were isolated from the roots of Cyathula officinalis Kuan.Their structures were elucidated by spectroscopic methods.Among these compounds,5,5 - dibutoxy-2,2 -bifuran(2) was isolated for the first time from this plant.
基金This Project was supported by the National Natural Science Foundation of China (60374037 and 60574036)the Opening Project Foundation of National Lab of Industrial Control Technology (0708008).
文摘A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and the orthogonalleast square method is constructed to approach the nonlinear system. Since its consequence is linear, it can divide the nonlinear system into a number of linear or nearly linear subsystems. For this T-S fuzzy model, a GPC algorithm with input constraints is presented. This strategy takes into account all the constraints of the control signal and its increment, and does not require the calculation of the Diophantine equations. So it needs only a small computer memory and the computational speed is high. The simulation results show a good performance for the nonlinear systems.
基金Supported by China Postdoctoral Science Foundation,No. 20070410753Tianjin Science and Technology Commission, No.05YFSZSF02500Tianjin Health Bureau,No.07KZ10
文摘AIM:To investigate the prevalence and time of Dickkopf(DKK) family methylation and its clinical significance in hepatocarcinogenesis. METHODS:Methylation of DKK family genes was quantitatively analyzed in 115 liver tissue samples,including 50 pairs of primary hepatocellular carcinoma(HCC) and matched noncancerous cirrhotic tissue samples,as well as 15 liver cirrhosis biopsy samples. RESULTS:The methylation level of DKK3 was significantly higher in HCC tissue samples than in matched noncancerous cirrhotic tissue samples(P<0.0001) orin liver cirrhosis biopsy samples(P=0.0139) .Receiver operator characteristic curve analysis confirmed that the percent of methylated reference(PMR) values of DKK3 could effectively discriminate HCC tissue samples from noncancerous tissue samples(AUC=0.8146) or liver cirrhosis biopsy samples(AUC=0.7093) .Kaplan-Meier survival curves revealed that the progression-free survival time of patients with a higher DKK3 methylation level(PMR >1%) was significantly shorter than that of those with a lower DKK3 methylation level(PMR≤1%)(P=0.0255) . Multivariate Cox analysis indicated that methylated DKK3 was significantly and independently related with a shorter survival time(relative risk=2.527,95%CI:1.063-6.008,P=0.036) of HCC patients. CONCLUSION:Methylation of DKK3 is an important event in early malignant transformation and HCC progression,and therefore might be a prognostic indicator for risk assessment of HCC.
基金Tianjin Natural Science Foundation !983602011National 863/CIMS Research Foundation !863-511-945-010
文摘General neural network inverse adaptive controller has two flaws: the first is the slow convergence speed; the second is the invalidation to the non-minimum phase system. These defects limit the scope in which the neural network inverse adaptive controller is used. We employ Davidon least squares in training the multi-layer feedforward neural network used in approximating the inverse model of plant to expedite the convergence, and then through constructing the pseudo-plant, a neural network inverse adaptive controller is put forward which is still effective to the nonlinear non-minimum phase system. The simulation results show the validity of this scheme.
