China Patent Information Center
China Patent Information Center
Chen Q.,Jiangsu Province Blood Center |
Wang S.,China Patent Information Center |
Xiao J.,Jiangsu Province Blood Center |
Li P.,Nanjing University |
And 2 more authors.
Chinese Journal of Medical Genetics | Year: 2016
Objective: To explore the molecular mechanism underlying the DEL phenotype among RhD negative ethnic Han individuals from Jiangsu, China. Methods: The DEL phenotype was determined by an adsorption-elution test among 57 RhD negative blood donors. The Rh C, c, E, and e phenotypes were detected by a tube method. PCR with sequence-specific primering (PCR-SSP) assay was used to determine the RHCE genotypes. The RHD gene of the DEL individuals were amplified with polymerase chain reaction and subjected to Sanger sequencing analysis. Results: Among the 57 RhD negative donors, 10 (17. 54%) were determined as having the DEL phenotype. The major RhCE phenotypes for DEL and RhD negative cases were RhCcee (80. 0%) and Rhccee (61. 7%), respectively. All RHD gene sequences of the 10 individuals have harbored a G> A mutation at position 1227 of exon 9. Conclusion: A proportion of RhD negative individuals determined by routine serological method are actually DEL with RHD gene mutations. RHD ∗ 1227A is the most prevalent DEL genotype among ethnic Han Chinese from Jiangsu. Further research on the phenotype and underlying molecular mechanism of DEL is important for blood transfusion. © 2016, West China University of Medical Sciences. All rights reserved.
Jiao P.,Beijing University of Civil Engineering and Architecture |
Liu M.,Beijing University of Civil Engineering and Architecture |
Guo J.,China Patent Information Center |
Sun T.,Beijing University of Civil Engineering and Architecture
Advances in Mechanical Engineering | Year: 2014
Short-term prediction of dynamic turning movement proportions at intersections is very important for intelligent transportation systems, but it is impossible to detect turning flows directly through current traffic surveillance devices. Existing prediction models have proved to be rather accurate in general, but not precise enough during every time interval, and can only obtain the one-step prediction. This paper first presents a Bayesian combined model to forecast the entering and exiting flows at intersections, by integrating a nonlinear regression, a moving average, and an autoregressive model. Based on the forecasted traffic flows, this paper further develops an accurate backpropagation neural network model and an efficient Kalman filtering model to predict the dynamic turning movement proportions. Using Bayesian method with both historical information and currently prediction results for error adjustment, this paper finally integrates both the above two prediction models and proposes a Bi-Bayesian combined framework to achieve both one-step and two-step predictions. A case study is implemented based on practical survey data, which are collected at an intersection in Beijing city, including both historical and current data. The reported prediction results indicate that the Bi-Bayesian combined model is rather accurate and stable for on-line applications. © 2014 Pengpeng Jiao et al.
Yan J.-F.,Chinese Institute of Materia Medica |
Yan J.-F.,China Patent Information Center |
Tong Y.,Chinese Institute of Materia Medica |
Pu C.,Beijing Hospital of the Ministry of Health |
Wang J.-Y.,Chinese Institute of Materia Medica
Zhongguo Zhongyao Zazhi | Year: 2014
Objective: To investigate molding technology of total alkaloids from Sophora alopecuroides freeze-dried powders and observe its inhibition effects on liver transplantation tumor in mice. Method: With color, clarity, water-soluble and formability as indexes, single factor tests were adopted to screen type and amount of filler, the concentration of total alkaloids in drug liquid, pH in order to determine optimum prescription of total alkaloids from S. alopecuroides freeze-dried powders, the lowest melting point was determined and freeze drying curve was drafted. Mice hepatoma H22 ascites tumor strain was sterile inoculated in right axillary subcutaneous of mice, and antitumor effect of total alkaloids from S. alopecuroides freeze-dried powders on liver transplantation tumor H22 in mice. Result: When selected 80 g·L-1 as mannitol as filler, the concentration of total alkaloids in drug liquid was 25 g·L-1 and pH 6.5-7.5, freeze-dried effect was optimum with fast reconstitute speed. Average inhibition rate of the big (120 mg·kg-1) and medium (60 mg·kg-1) dose group of total alkaloids from S. alopecuroides freeze-dried powders on liver transplantation tumor H22 in mice were 56.08% and 35.49%, respectively. Conclusion: Preparation technology was reasonable, reproducible and stable, total alkaloids from S. alopecuroides freeze-dried powders had significant antitumor effect and showed a dose-effect relationship.
Li Z.,Harbin Institute of Technology |
Tian J.,Harbin Institute of Technology |
Song T.,Harbin Institute of Technology |
Jiang H.,China Patent Information Center
Advances in Information Sciences and Service Sciences | Year: 2012
This paper proposes a bi-level programming model for the analyzing of socially optimal choice. The optimal decision of representative household is made by constructing the utility function based on the budget constraint in a family and considering the relation between the employment and the economic situation in a period. The socially optimal decision is made by the policy-making department of indemnificatory housing supply under constraints of land, labor and capital based efficiency and fairness. Then the bi-level programming model of socially optimal choice in housing security system can be built accordingly. This paper also analyzes the existence of socially optimistic optimal decision and presents an appropriate solution method. Results show that the socially optimum choice can be made in urban housing security system by constructing bilevel programming model and the price of indemnificatory housing set by the policy-making department of supply is the key factor affecting the effective demand.
Xu Q.,Petrochina |
Jiang W.,China Patent Information Center |
Lin W.,Petrochina |
Zhang L.,Sinopec |
And 2 more authors.
Oil and Gas Geology | Year: 2015
Considering the vertical heterogeneity characteristics of multilayer reservoirs and nonlinear seepage regularity for fluid flowing in the ultra-low permeability reservoirs, natural large-scale outcrop model and nonlinear seepage numerical simulation software were adopted to research the development effect of commingled production for ultra-low permeabi-lity reservoirs. Results show that total recovery percent is influenced by permeability ratio, average permeability, layer number and oil viscosity during commingled production. With the increase of permeability ratio, the total recovery percent decreases and the difference between the higher and the lower permeability layers becomes larger; And the higher the average permeability is, the higher total recovery percent is; the more the layer number is and the higher the oil viscosity is, the poorer the develoipment effect is during commingled production. On this basis, a new parameter called "quad-element synthetic influence factor" is proposed to evaluate the development boundary for the commingled production of multilayer reservoir. Analysis indicates that the total recovery percent is in a power function relationship with this new parameter, which could be used as an important indicator for development effect evaluation of ultra-low permeability multilayer reservoir. © 2015, Editorial Office of Oil and Gas Geology. All right reserved.
Yang F.,Beijing Information Science and Technology University |
Zhang W.,China Patent Information Center |
Peng L.,China Patent Information Center
2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013 | Year: 2013
This paper presents a novel statistical method to research BER of QPSK signal by using Amplitude Probability Distribution (APD). The statistical results of interfering signals, especially APD, have been widely used, and the relationship between the statistical results and performance of digital radio systems has been an open issue. The statistical method has been proved to be an effective method to study the characteristics of electromagnetic interference and it is a useful method to study the interference effect on digital communication systems. In this paper, the relation between amplitude probability distribution (APD) of interference and bit error probability (BEP) of QPSK communication signal is studied. © 2013 IEEE.
Ren Z.,Chinese Institute of Scientific and Technical Information |
Ren Z.,China Patent Information Center |
Qiao X.,Chinese Institute of Scientific and Technical Information |
Zhang K.,China Patent Information Center |
And 2 more authors.
CEUR Workshop Proceedings | Year: 2015
Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Therefore, in this paper, we propose an approach for predicting hype cycle based on machine learning for effective, systematic, and objective information analysis and future forecasting of science and IT field. Additionally, we execute a comparative evaluation between the suggested model and Hype Cycle for Big Data, 2013 for validating the suggested model and generally used for information analysis and forecasting. © 2015 for the individual papers by the papers' authors.
Jiang W.,Huazhong University of Science and Technology |
Xie H.,China Patent Information Center |
Ghoorah D.,Huazhong University of Science and Technology |
Shang Y.,Huazhong University of Science and Technology |
And 4 more authors.
PLoS ONE | Year: 2012
Currently, effective and specific diagnostic imaging of brain glioma is a major challenge. Nanomedicine plays an essential role by delivering the contrast agent in a targeted manner to specific tumor cells, leading to improvement in accurate diagnosis by good visualization and specific demonstration of tumor cells. This study investigated the preparation and characterization of a targeted MR contrast agent, transferrin-conjugated superparamagnetic iron oxide nanoparticles (Tf-SPIONs), for brain glioma detection. MR imaging showed the obvious contrast change of brain glioma before and after administration of Tf-SPIONs in C6 glioma rat model in vivo on T2 weighted imaging. Significant contrast enhancement of brain glioma could still be clearly seen even 48 h post injection, due to the retention of Tf-SPIONs in cytoplasm of tumor cells which was proved by Prussian blue staining. Thus, these results suggest that Tf-SPIONs could be a potential targeting MR contrast agent for the brain glioma. © 2012 Jiang et al.
Xu Z.,Northeast Dianli University |
Zhao Y.,Northeast Dianli University |
Wen X.,Northeast Dianli University |
Cheng P.,Chaohu Electrical Power Company Control Center |
Yuan S.,China Patent Information Center
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2011
After careful study of the co-relations between coal ash compositions and deformation temperature, a model based on simulated annealing supporting vector machine (SA-SVM) for prediction ash deformation temperature was proposed. The ten compositions of coal ash were employed as inputs, and the ash deformation temperature was used as output of the SA-SVM model. The model was verified with the experiment datum, and the result show this method is feasible, the SA-SVM model has achieved good predicting performance for ash deformation temperature. Besides, the prediction system was developed by object oriented high-level language accordingly. © 2011 Chin. Soc. for Elec. Eng.
PubMed | China Patent Information Center and Huazhong University of Science and Technology
Type: | Journal: International journal of nanomedicine | Year: 2015
Surgical resection is the primary mode for glioma treatment, while gross total resection is difficult to achieve, due to the invasiveness of the gliomas. Meanwhile, the tumor-resection region is closely related to survival rate and life quality. Therefore, we developed optical/magnetic resonance imaging (MRI) bifunctional targeted micelles for glioma so as to delineate the glioma location before and during operation. The micelles were constructed through encapsulation of hydrophobic superparamagnetic iron oxide nanoparticles (SPIONs) with polyethylene glycol-block-polycaprolactone (PEG-b-PCL) by using a solvent-evaporation method, and modified with a near-infrared fluorescent probe, Cy5.5, in addition to the glioma-targeting ligand lactoferrin (Lf). Being encapsulated by PEG-b-PCL, the hydrophobic SPIONs dispersed well in phosphate-buffered saline over 4 weeks, and the relaxivity (r 2) of micelles was 215.4 mM(-1)s(-1), with sustained satisfactory fluorescent imaging ability, which might have been due to the interval formed by PEG-b-PCL for avoiding the fluorescence quenching caused by SPIONs. The in vivo results indicated that the nanoparticles with Lf accumulated efficiently in glioma cells and prolonged the duration of hypointensity at the tumor site over 48 hours in the MR image compared to the nontarget group. Corresponding with the MRI results, the margin of the glioma was clearly demarcated in the fluorescence image, wherein the average fluorescence intensity of the tumor was about fourfold higher than that of normal brain tissue. Furthermore, 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide assay results showed that the micelles were biocompatible at Fe concentrations of 0-100 g/mL. In general, these optical/MRI bifunctional micelles can specifically target the glioma and provide guidance for surgical resection of the glioma before and during operation.