Objective: To explore the therapeutic effect of recombinant plasminogen activator (rt-PA) in treatment of acute cerebral infarction using CT perfusion imaging (CTPI). Methods: Totally 100 patients with acute cerebral infarction within 6 h of onset were divided into observation group (presence of ischemic penumbra, n=56) or control group (without ischemic penumbra, n=44) according to CTPI. All patients were treated with rt-PA. After treatment, CTPI was used to evaluate perfusion in the infarcted area. Plasma thrombosteroid-related factor level was tested, and the improving of neurological deficits and activities of daily living were evaluated. Results: The cerebral blood volume (CBV) and cerebral blood flow (CBF) values in the infarct area of observation group significantly increased after treatment (all P<0.05), and the mean transition time (MTT) value was significantly lower (all P<0.05). After treatment, CBV and CBF values of observation group were significantly higher than those of control group (both P<0.05). The plasma thrombosteroid-related factor level decreased (P<0.05). NIHSS score and Barthel index (BI) score of observation group were significantly improved after treatment, also better than those of control group (both P<0.05). Conclusion: Under the guidance of CTPI, rt-PA intravenous thrombolysis can significantly improve the brain tissue perfusion in ischemic penumbra, reduce the level of thrombus-related factors and alleviate brain tissue damage and neurological deficits.

Independent component analysis (ICA) is a statistic technique which extracts independent components from a set of standard signals. Since Electroencephalogram (EEG) signals are the mixture of several relatively independent sources, ICA has attracted extensive attention in the field of EEG processing. In this paper, a new Constrained ICA (cICA) algorithm is introduced, it would solve the problem of orderless output when FastICA algorithm is used. The experiment results testify that the cICA algorithm can reduce the effect of different individual when the artifacts of EEG are removed manually. The results also show that the cICA algorithm is robust and performs faster convergence.
Algorithms ; Artifacts ; Brain ; physiology ; Electroencephalography ; methods ; Humans ; Principal Component Analysis ; Signal Processing, Computer-Assisted

Objective To understand the potential impact of south-north water transfer project on transmission and distribution of Schistosomiasis japonica, and to put forward the countermea-sures of prevention of the disease transferring into other places. Methods The information on the progress of south-north water transfer project and factors related to the distribution of Schistosoma juponicum were collected, and the suggestions on improving the countermeasures were obtained through the group discussions and field visits. Results The potential impact of the project on the disease transferring is existed, mainly the disease transferring will be through the Lixia River basin in Jiangsu Province, and Chaohu areas of Anhui Province in the east route, and Sihu areas of Hubei Province in the middle route. The snail transferring northward will be affected both by the project and global warming, as a result, the endemic areas of Schistosomiasis will probably transfer into the Hongzehu and Chaohu areas in the future. Conclusion In the east route of the project, if the project is not combined with Schistosomiasis control, the endemic areas of Schistosomiasis will extend into other regions, the loss in the society and economy will be very large.