脑电(Electroencephalography,EEG)和功能磁共振(Functional magnetic resonance imaging,fMRI)技术的结合,可以实现两者优势的互补,获得更加合理的源定位结果。本文报道的是一种将fMRI先验信息结合到脑电源定位中的新方法。在该方法中...脑电(Electroencephalography,EEG)和功能磁共振(Functional magnetic resonance imaging,fMRI)技术的结合,可以实现两者优势的互补,获得更加合理的源定位结果。本文报道的是一种将fMRI先验信息结合到脑电源定位中的新方法。在该方法中,先利用SPM方法计算获得fMRI的统计映射参数,然后将基于计算获得的统计参数构造的权矩阵结合到FOCUSS的迭代过程中,对脑电的反演提供具有fMRI先验空间位置信息的约束,提高脑电的源空间定位精度,从而获得更加合理的定位结果。通过对一形状知觉实验fMRI和脑电数据的结合定位分析,结果初步证实了改进方法能获得和生理更加一致的结果。展开更多
This paper concentrates on the most important findings and the lessons learned from German experience in the field of wind energy integration. It reflects the work of the governmental experts who were auditing the 200...This paper concentrates on the most important findings and the lessons learned from German experience in the field of wind energy integration. It reflects the work of the governmental experts who were auditing the 2008-revision of the Renewable Energy Sources Act （EEG 2008） in the EEG-Report 2011 and the actual political debate in Germany in 2013. The EEG report 2011 makes it clear that a feed-in-tariff-mechanism lowers entry barriers and open the market for new competitors but, also, that incentives without a favorable legal framework fail to fulfill the purpose.展开更多
Traditional HPC （High Performance Computing） cluster is built on top of physical machines. It is usually not practical to reassign these machines to other tasks due to the fact that software installation is time con...Traditional HPC （High Performance Computing） cluster is built on top of physical machines. It is usually not practical to reassign these machines to other tasks due to the fact that software installation is time consuming. As a result, these machines are usually dedicated for the cluster usage. Virtualization technology provides an abstract layer which allows several different operating systems （with different software packages） running on top of one physical machine. Cloud computing provides an easy way for the user to manage and interact with the computing resources （the virtual machines in this case）. In this work, we demonstrate the feasibility of building a cloud-based cluster for HPC on top of a set of desktop computers that are interconnected by means of Fast Ethernet. Our cluster has several advantages. For instance, the deployment time of the cluster is quite fast： We need only 5 min to deploy a cluster of 30 machines, Besides, several performance benchmarks have been carried out. As expected, the embarrassingly parallel problem has the linear relationship between the performance and the cluster size.展开更多
The aim of this work is to study the interaction of spoken words and images that are used within programs targeted to popularize knowledge among teenagers. We will look into the program Bit@bit developed by Television...The aim of this work is to study the interaction of spoken words and images that are used within programs targeted to popularize knowledge among teenagers. We will look into the program Bit@bit developed by Television de Catalunya, which is intended to disseminate computer concepts, tools and procedures. In this kind of program, one can find spoken language （on/off screen voices, interviews, etc.）, other oral material （sounds, music, songs）, written language （descriptions, title sequences, inserts and Uniform Resource Locator, or electronic addresses）, and other visual material （film cut images, advertising, other TV programs, cartoons, films, both location or studio images, depicting reality, or computer screens, or logotypes）. The profusion of multimodal elements used in this program helps to keep the young audience＇s attention. The use of references to their world or knowledge, as a target group, is based on interplay among different semiotic strategies. At the same time, the entire program＇s multi-segmentation into short video clips, combined with a fast paced sound track helps its audience to understand the specialized explanations presented. Of all the multimodal wealth that the program presents, we will concentrate only on the relationship between the words and the images （leaving other secondary semiotics to one side）, the main strategy for achieving the objective of transmitting knowledge and winning adolescent audiences.展开更多
A neural network method for independent source separation (ISS) of multichannel electroencephalogram (EEG) is proposed in this paper.Using the denoising function of wavelet multiscale decomposition,the high-frequency ...A neural network method for independent source separation (ISS) of multichannel electroencephalogram (EEG) is proposed in this paper.Using the denoising function of wavelet multiscale decomposition,the high-frequency noises are removed from the original (raw) EEGs.Then the multichannel EEGs are treated as the weighted mixtures and the expression of weight vector is obtained by seeking the local extrema of the fourth-order cumulants (i.e.kurtosis coefficients) of the mixtures.After these process steps,the weighted mixtures are used as the input of neural network,so the independent source of EEGs can be separated one by one.The experimental results show that our method is effective for ISS of multichannel EEGs.展开更多
Objective：To investigate the effects of electroacupuncture （EA） at acupoints Baihui （GV 20）, Neiguan （PC 6） and Sanyinjiao （SP 6） on the levels of estradiol （E2） and brain-derived neurotrophic factor （BDNF...Objective：To investigate the effects of electroacupuncture （EA） at acupoints Baihui （GV 20）, Neiguan （PC 6） and Sanyinjiao （SP 6） on the levels of estradiol （E2） and brain-derived neurotrophic factor （BDNF） in serum, as well as the expression of BDNF in hippocampus in chronic depression rat models. Methods：Thirty female Wistar rats were randomly divided into three groups, including a normal control （NC） group, a model group and an EA group, 10 rats in each group. The depression model was established by using chronic unpredicted mild stress （CUMS）, such as cold-water swimming, tail clamping, electric shock to foot, etc., combined with individual caging for 21 d. Rats in the model group and EA group were randomly exposed to one of the 9 stressors each day and caged individually. After modeling, rats in the EA group were then treated with EA at Baihui （GV 20）, Neiguan （PC 6） and Sanyinjiao （SP 6） once daily for 14 d, and the model group was not treated with EA but bounded in the same way as the EA group. Serum E2 was measured by radioimmunoassay and BDNF was assessed by an enzyme-linked immunosorbent assay （ELISA） and the expression of BDNF in hippocampus was detected by using immunohistochemistry. Results：After the stress stimulation, compared with the NC group, the model group and EA group showed a significant reduction of sucrose preference rate （P〈0.01） and remarkable increase of forced-swimming immobility time （P〈0.01）. In addition, EA significantly reduced the depression-like behavior of rats in the EA group （P〈0.01）. The expressions of E2 and BDNF in serum as well as the expression of BDNF in hippocampus were remarkably lower in the model rats than those in the NC group （P〈0.01,P〈0.01,P〈0.05）. The expression of BDNF in rats’ serum and hippocampus in the EA group was significantly higher than that in the model group （P〈0.05）, while serum E2 increased but insignificantly （P〉0.05）. Conclusion：E2 and BDNF may contribute to the depression-like behaviors of the rats during CUMS period. EA may exert its anti-depression effects through promoting BDNF expression in serum and hippocampus.展开更多
文摘脑电(Electroencephalography,EEG)和功能磁共振(Functional magnetic resonance imaging,fMRI)技术的结合,可以实现两者优势的互补,获得更加合理的源定位结果。本文报道的是一种将fMRI先验信息结合到脑电源定位中的新方法。在该方法中,先利用SPM方法计算获得fMRI的统计映射参数,然后将基于计算获得的统计参数构造的权矩阵结合到FOCUSS的迭代过程中,对脑电的反演提供具有fMRI先验空间位置信息的约束,提高脑电的源空间定位精度,从而获得更加合理的定位结果。通过对一形状知觉实验fMRI和脑电数据的结合定位分析,结果初步证实了改进方法能获得和生理更加一致的结果。
文摘This paper concentrates on the most important findings and the lessons learned from German experience in the field of wind energy integration. It reflects the work of the governmental experts who were auditing the 2008-revision of the Renewable Energy Sources Act （EEG 2008） in the EEG-Report 2011 and the actual political debate in Germany in 2013. The EEG report 2011 makes it clear that a feed-in-tariff-mechanism lowers entry barriers and open the market for new competitors but, also, that incentives without a favorable legal framework fail to fulfill the purpose.
文摘Traditional HPC （High Performance Computing） cluster is built on top of physical machines. It is usually not practical to reassign these machines to other tasks due to the fact that software installation is time consuming. As a result, these machines are usually dedicated for the cluster usage. Virtualization technology provides an abstract layer which allows several different operating systems （with different software packages） running on top of one physical machine. Cloud computing provides an easy way for the user to manage and interact with the computing resources （the virtual machines in this case）. In this work, we demonstrate the feasibility of building a cloud-based cluster for HPC on top of a set of desktop computers that are interconnected by means of Fast Ethernet. Our cluster has several advantages. For instance, the deployment time of the cluster is quite fast： We need only 5 min to deploy a cluster of 30 machines, Besides, several performance benchmarks have been carried out. As expected, the embarrassingly parallel problem has the linear relationship between the performance and the cluster size.
文摘The aim of this work is to study the interaction of spoken words and images that are used within programs targeted to popularize knowledge among teenagers. We will look into the program Bit@bit developed by Television de Catalunya, which is intended to disseminate computer concepts, tools and procedures. In this kind of program, one can find spoken language （on/off screen voices, interviews, etc.）, other oral material （sounds, music, songs）, written language （descriptions, title sequences, inserts and Uniform Resource Locator, or electronic addresses）, and other visual material （film cut images, advertising, other TV programs, cartoons, films, both location or studio images, depicting reality, or computer screens, or logotypes）. The profusion of multimodal elements used in this program helps to keep the young audience＇s attention. The use of references to their world or knowledge, as a target group, is based on interplay among different semiotic strategies. At the same time, the entire program＇s multi-segmentation into short video clips, combined with a fast paced sound track helps its audience to understand the specialized explanations presented. Of all the multimodal wealth that the program presents, we will concentrate only on the relationship between the words and the images （leaving other secondary semiotics to one side）, the main strategy for achieving the objective of transmitting knowledge and winning adolescent audiences.
基金Natural Science Foundation of Fujian Province of Chinagrant number:C0710036 and T0750008
文摘A neural network method for independent source separation (ISS) of multichannel electroencephalogram (EEG) is proposed in this paper.Using the denoising function of wavelet multiscale decomposition,the high-frequency noises are removed from the original (raw) EEGs.Then the multichannel EEGs are treated as the weighted mixtures and the expression of weight vector is obtained by seeking the local extrema of the fourth-order cumulants (i.e.kurtosis coefficients) of the mixtures.After these process steps,the weighted mixtures are used as the input of neural network,so the independent source of EEGs can be separated one by one.The experimental results show that our method is effective for ISS of multichannel EEGs.
基金supported by Natural Science Key Research Project of Education Department of Anhui ProvinceNo.KJ2008A42ZC~~
文摘Objective：To investigate the effects of electroacupuncture （EA） at acupoints Baihui （GV 20）, Neiguan （PC 6） and Sanyinjiao （SP 6） on the levels of estradiol （E2） and brain-derived neurotrophic factor （BDNF） in serum, as well as the expression of BDNF in hippocampus in chronic depression rat models. Methods：Thirty female Wistar rats were randomly divided into three groups, including a normal control （NC） group, a model group and an EA group, 10 rats in each group. The depression model was established by using chronic unpredicted mild stress （CUMS）, such as cold-water swimming, tail clamping, electric shock to foot, etc., combined with individual caging for 21 d. Rats in the model group and EA group were randomly exposed to one of the 9 stressors each day and caged individually. After modeling, rats in the EA group were then treated with EA at Baihui （GV 20）, Neiguan （PC 6） and Sanyinjiao （SP 6） once daily for 14 d, and the model group was not treated with EA but bounded in the same way as the EA group. Serum E2 was measured by radioimmunoassay and BDNF was assessed by an enzyme-linked immunosorbent assay （ELISA） and the expression of BDNF in hippocampus was detected by using immunohistochemistry. Results：After the stress stimulation, compared with the NC group, the model group and EA group showed a significant reduction of sucrose preference rate （P〈0.01） and remarkable increase of forced-swimming immobility time （P〈0.01）. In addition, EA significantly reduced the depression-like behavior of rats in the EA group （P〈0.01）. The expressions of E2 and BDNF in serum as well as the expression of BDNF in hippocampus were remarkably lower in the model rats than those in the NC group （P〈0.01,P〈0.01,P〈0.05）. The expression of BDNF in rats’ serum and hippocampus in the EA group was significantly higher than that in the model group （P〈0.05）, while serum E2 increased but insignificantly （P〉0.05）. Conclusion：E2 and BDNF may contribute to the depression-like behaviors of the rats during CUMS period. EA may exert its anti-depression effects through promoting BDNF expression in serum and hippocampus.
