AIM: To generate recombinant adenoviral vector con-taining calreticulin (CRT)-hepatitis B surface antigen (HBsAg) fusion gene for developing a safe, effective and HBsAg-specific therapeutic vaccine.METHODS: CRT and HB...AIM: To generate recombinant adenoviral vector con-taining calreticulin (CRT)-hepatitis B surface antigen (HBsAg) fusion gene for developing a safe, effective and HBsAg-specific therapeutic vaccine.METHODS: CRT and HBsAg gene were fused using polymerase chain reaction (PCR), endonuclease diges-tion and ligation methods. The fusion gene was cloned into pENTR/D-TOPO transfer vector after the base pairs of DNA (CACC) sequence was added to the 5′ end. Adenoviral expression vector containing CRT-HBsAg fusion gene was constructed by homologous recombinan-tion. The human embryo kidney (HEK) 293A cells were transfected with linearized DNA plasmid of the recombi-nant adenoviral vector to package and amplify recombi-nant adenovirus. The recombinant adenovirus titer was characterized using the end-dilution assay. The expres-sion of the CRT/HBsAg fusion protein in Ad-CRT/HBsAg infected 293A cells was detected by Western blotting.RESULTS: The CRT-HBsAg fusion gene was char-acterized by PCR and sequencing and its length and sequence were confirmed to be accurate. The CRT-HB-sAg fusion gene recombinant pENTR/D-TOPO transfer vector was constructed. The recombinant adenoviral vector, Ad-CRT/HBsAg, was generated successfully. The titer of Ad-CRT/HBsAg was characterized as 3.9 × 1011 pfu/mL. The CRT-HBsAg fusion protein was ex-pressed by HEK 293A cells correctly. CONCLUSION: CRT/HBsAg fusion gene recombinant replication-defective adenovirus expression vector is constructed successfully and this study has provided an experimental basis for further studies of Hepatitis B vi-rus gene therapy.展开更多
In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi...In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi-direction and multi-resolution. After that, the super-resolved multi-spectral image is reconstructed by utilizing the strong learning ability of support vector regression and the correlation between multi-spectral image and panchromatic image. Finally, the super-resolved multi- spectral image and the panchromatic image are fused based on regions at different levels. Our experi- ments show that, the learning method based on support vector regression can improve the effect of super-resolution of multi-spectral image. The fused image preserves both high space resolution and spectrum information of multi-spectral image.展开更多
The geological data are constructed in vector format in geographical information system (GIS) while other data such as remote sensing images, geographical data and geochemical data are saved in raster ones. This paper...The geological data are constructed in vector format in geographical information system (GIS) while other data such as remote sensing images, geographical data and geochemical data are saved in raster ones. This paper converts the vector data into 8 bit images according to their importance to mineralization each by programming. We can communicate the geological meaning with the raster images by this method. The paper also fuses geographical data and geochemical data with the programmed strata data. The result shows that image fusion can express different intensities effectively and visualize the structure characters in 2 dimensions. Furthermore, it also can produce optimized information from multi-source data and express them more directly.展开更多
This paper investigates the problem of estimation of the wheelchair position in indoor environments with noisy mea- surements. The measuring system is based on two odometers placed on the axis of the wheels combined w...This paper investigates the problem of estimation of the wheelchair position in indoor environments with noisy mea- surements. The measuring system is based on two odometers placed on the axis of the wheels combined with a magnetic compass to determine the position and orientation. Determination of displacements is implemented by an accelerometer. Data coming from sensors are combined and used as inputs to unscented Kalman filter （UKF）. Two data fusion architectures： measurement fusion （MF） and state vector fusion （SVF） are proposed to merge the available measurements. Comparative studies of these two architectures show that the MF architecture provides states estimation with relatively less uncertainty compared to SVF. However, odometers measurements determine the position with relatively high uncertainty followed by the accelerometer measurements. Therefore, fusion in the navigation system is needed. The obtained simulation results show the effectiveness of proposed architectures.展开更多
藏文文本摘要能使用户快速有效地理解藏文文本内容。然而,公开的、多领域的大规模藏文摘要数据集的稀缺,使得藏文文本摘要生成的发展面临挑战;此外,藏文文本摘要生成研究借用中文和英文等以词作为基本单元的文本摘要生成技术构建模型,...藏文文本摘要能使用户快速有效地理解藏文文本内容。然而,公开的、多领域的大规模藏文摘要数据集的稀缺,使得藏文文本摘要生成的发展面临挑战;此外,藏文文本摘要生成研究借用中文和英文等以词作为基本单元的文本摘要生成技术构建模型,但由于藏文受分词技术的限制,直接以词作为文本摘要生成的基本单元,对性能的影响较大。针对上述问题,构建包含10523条文本-摘要对的多领域藏文短文本摘要数据集TB-SUM,在研究藏文文本构成单元的基础上,提出适用于藏文文本摘要生成的不同基本单元融合方法,并构建融合不同基本单元的藏文文本摘要生成模型Fusion_GloVe_GRU_Atten,利用全局词向量表示(GloVe)模块实现藏文文本向量化后通过双向门控循环单元(Bi-GRU)模块对输入向量进行编码,利用注意力机制获取输入向量的完整语义信息,使解码器更加关注与当前单词相关的编码器输出,同时将GRU作为解码器生成藏文摘要。在数据集TB-SUM和Ti-SUM上的实验结果表明,以音节和词的融合作为模型训练的基本单元,以音节作为测试的基本单元时,Fusion_GloVe_GRU_Atten模型生成短文本摘要效果更好,能得到更高的ROUGE(Recall-Oriented Understudy for Gisting Evaluation)分数。展开更多
基金Supported by Grants from National Natural Science Foundation of China, No. 30901344
文摘AIM: To generate recombinant adenoviral vector con-taining calreticulin (CRT)-hepatitis B surface antigen (HBsAg) fusion gene for developing a safe, effective and HBsAg-specific therapeutic vaccine.METHODS: CRT and HBsAg gene were fused using polymerase chain reaction (PCR), endonuclease diges-tion and ligation methods. The fusion gene was cloned into pENTR/D-TOPO transfer vector after the base pairs of DNA (CACC) sequence was added to the 5′ end. Adenoviral expression vector containing CRT-HBsAg fusion gene was constructed by homologous recombinan-tion. The human embryo kidney (HEK) 293A cells were transfected with linearized DNA plasmid of the recombi-nant adenoviral vector to package and amplify recombi-nant adenovirus. The recombinant adenovirus titer was characterized using the end-dilution assay. The expres-sion of the CRT/HBsAg fusion protein in Ad-CRT/HBsAg infected 293A cells was detected by Western blotting.RESULTS: The CRT-HBsAg fusion gene was char-acterized by PCR and sequencing and its length and sequence were confirmed to be accurate. The CRT-HB-sAg fusion gene recombinant pENTR/D-TOPO transfer vector was constructed. The recombinant adenoviral vector, Ad-CRT/HBsAg, was generated successfully. The titer of Ad-CRT/HBsAg was characterized as 3.9 × 1011 pfu/mL. The CRT-HBsAg fusion protein was ex-pressed by HEK 293A cells correctly. CONCLUSION: CRT/HBsAg fusion gene recombinant replication-defective adenovirus expression vector is constructed successfully and this study has provided an experimental basis for further studies of Hepatitis B vi-rus gene therapy.
基金Supported by the National Natural Science Foundation of China(61172127)Key Research Project of Education Department of Anhui Province(KJ2010A021)
文摘In our study, support vector value contourlet transform is constructed by using support vector regression model and directional filter banks. The transform is then used to decompose source images at multi-scale, multi-direction and multi-resolution. After that, the super-resolved multi-spectral image is reconstructed by utilizing the strong learning ability of support vector regression and the correlation between multi-spectral image and panchromatic image. Finally, the super-resolved multi- spectral image and the panchromatic image are fused based on regions at different levels. Our experi- ments show that, the learning method based on support vector regression can improve the effect of super-resolution of multi-spectral image. The fused image preserves both high space resolution and spectrum information of multi-spectral image.
文摘The geological data are constructed in vector format in geographical information system (GIS) while other data such as remote sensing images, geographical data and geochemical data are saved in raster ones. This paper converts the vector data into 8 bit images according to their importance to mineralization each by programming. We can communicate the geological meaning with the raster images by this method. The paper also fuses geographical data and geochemical data with the programmed strata data. The result shows that image fusion can express different intensities effectively and visualize the structure characters in 2 dimensions. Furthermore, it also can produce optimized information from multi-source data and express them more directly.
文摘This paper investigates the problem of estimation of the wheelchair position in indoor environments with noisy mea- surements. The measuring system is based on two odometers placed on the axis of the wheels combined with a magnetic compass to determine the position and orientation. Determination of displacements is implemented by an accelerometer. Data coming from sensors are combined and used as inputs to unscented Kalman filter （UKF）. Two data fusion architectures： measurement fusion （MF） and state vector fusion （SVF） are proposed to merge the available measurements. Comparative studies of these two architectures show that the MF architecture provides states estimation with relatively less uncertainty compared to SVF. However, odometers measurements determine the position with relatively high uncertainty followed by the accelerometer measurements. Therefore, fusion in the navigation system is needed. The obtained simulation results show the effectiveness of proposed architectures.
文摘藏文文本摘要能使用户快速有效地理解藏文文本内容。然而,公开的、多领域的大规模藏文摘要数据集的稀缺,使得藏文文本摘要生成的发展面临挑战;此外,藏文文本摘要生成研究借用中文和英文等以词作为基本单元的文本摘要生成技术构建模型,但由于藏文受分词技术的限制,直接以词作为文本摘要生成的基本单元,对性能的影响较大。针对上述问题,构建包含10523条文本-摘要对的多领域藏文短文本摘要数据集TB-SUM,在研究藏文文本构成单元的基础上,提出适用于藏文文本摘要生成的不同基本单元融合方法,并构建融合不同基本单元的藏文文本摘要生成模型Fusion_GloVe_GRU_Atten,利用全局词向量表示(GloVe)模块实现藏文文本向量化后通过双向门控循环单元(Bi-GRU)模块对输入向量进行编码,利用注意力机制获取输入向量的完整语义信息,使解码器更加关注与当前单词相关的编码器输出,同时将GRU作为解码器生成藏文摘要。在数据集TB-SUM和Ti-SUM上的实验结果表明,以音节和词的融合作为模型训练的基本单元,以音节作为测试的基本单元时,Fusion_GloVe_GRU_Atten模型生成短文本摘要效果更好,能得到更高的ROUGE(Recall-Oriented Understudy for Gisting Evaluation)分数。
