Zeng F.,Hubei University of Medicine |
Wu Q.,Taihe Hospital |
Guo E.,Hubei University of Medicine |
Guo H.,Hubei University of Medicine |
And 3 more authors.
Folia Biologica (Czech Republic) | Year: 2012
Using the protein-protein docking program, this study investigates the relationship between TRAF2 and its related proteins and the diversity within the 3D structures of TRAF2s. TRAF2 exists in monomer, trimer, and hexamer forms and it can combine with a number of proteins. Through comparative analysis we found that TRAF2(122), TRAF2(22), TRAF2(21740), TRAF2(2), TRAF2( 22ABC), and TRAF2(Phyre) perform very close homoousia in docking with the same group of ligands, though these TRAF2s come from different sources. The TRAF2-related proteins of cluster 1 change docking values strongly from top to bottom. The TRAF2- related proteins of clusters 2 and 3 have acceptable variation of the docking values. In consideration of the amino acid percentage, TRAF2-related proteins of cluster 2 represent appropriate docking values.
Liu Y.,Shanghai JiaoTong University |
Li M.,Taihe Hospital |
Wu Y.,Fudan University |
Jia J.,Fudan University |
Zhang L.,Shanghai JiaoTong University
International Journal of Pattern Recognition and Artificial Intelligence | Year: 2015
A common problem in Electroencephalogram (EEG) analysis is how to separate EEG patterns from noisy recordings. Independent component analysis (ICA), which is an effective method to recover independent sources from sensor outputs without assuming any a priori knowledge, has been widely used in such biological signals analysis. However, when dealing with EEG signals, the mixing model usually does not satisfy the standard ICA assumptions due to the time-variable structures of source signals. In this case, EEG patterns should be precisely separated and recognized in a short time window. Another issue is that we usually over-separate the signals by ICA due to the over learning problem when the length of data is not sufficient. In order to tackle these problems mentioned above, we try to exploit both high order statistics and temporal structures of source signals under condition of short time windows. We utilize a temporal-independent component analysis (tICA) method to formulate the blind separation problem into a new framework of analyzing the mutual independence of the residual signals. Furthermore, in order to find better features for classification, both temporal and spatial features of EEG recordings are extracted by integrating tICA together with some other algorithm like Common Spatial Pattern (CSP) for feature extraction. Computer simulations are given to evaluate the efficiency and performance of tICA based on EEG data recorded not from the normal people but from some special populations suffering from neurophysiological diseases like stroke. To the best of our knowledge, this is the first time that EEG characteristics of stroke patients are explored and reported using ICA algorithm. Superior separation performance and high classification rate evidence that the tICA method is promising for EEG analysis. © 2015 World Scientific Publishing Company.
Wang L.-Y.,Peoples Hospital of the Xinjiang Uygur Autonomous Region |
Li J.-G.,Peoples Hospital of the Xinjiang Uygur Autonomous Region |
Zhang C.,Peoples Hospital of the Xinjiang Uygur Autonomous Region |
Zhang J.,Peoples Hospital of the Xinjiang Uygur Autonomous Region |
And 3 more authors.
Chinese Journal of Tissue Engineering Research | Year: 2015
BACKGROUND: From the biological structure, the posterior cruciate ligament is surrounded by the synovial folds of posterior capsule, arising from the inner side of the medial femoral condyle to the posterior part of tibial intercondyloid spine. The main traditional treatment method for posterior cruciate ligament tibial avulsion fracture is open operation, but it is difficult in anatomic reduction, cannot fully restore knee joint stability and has a great negative impact on the normal function of posterior cruciate ligament. OBJECTIVE: To investigate the effects of arthroscopic implant internal fixation in the treatment of tibial avulsion fracture of the posterior cruciate ligament. METHODS: 120 patients with tibial avulsion fracture of the posterior cruciate ligament were randomly assigned into treatment group and control group, with 60 cases in each group. The control group was given the traditional open surgery, and the treatment group was given the arthroscopic surgery. After 3 months, International Knee Documentation Committee (IKDC) scores and Lysholm scores were detected in the two groups; the knee joint range of motion was determined before and 3 months after treatment. RESULTS AND CONCLUSION: Wounds were healed at stage I in all patients with no serious complications. There was no difference in the knee joint range of motion between the two groups before treatment, but the range of motion was increased significantly in both two groups at 3 months after treatment (P < 0.05), meanwhile which was higher in the treatment group than the control group (P < 0.05). At 3 months after treatment, the excellent knee function rate was significantly higher in the treatment group (97%) than the control group (88%) according to the Lysholm scores; the IKDC scores were significantly higher in the treatment than the control group in terms of claudication, support, pain, swelling, and squat (P < 0.05). These results indicate that the arthroscopic implant fixation of tibial avulsion fracture of the posterior cruciate ligament has better short-term effects to promote recovery of knee joint function, but no serious complications. © 2015, Journal of Clinical Rehabilitative Tissue Engineering Research. All Rights Reserved.
Chen Y.,Hainan University |
Zhou L.-J.,Hainan University |
Hong Y.-Z.,Hainan University |
Cao F.,Taihe Hospital |
And 2 more authors.
Xinxing Tan Cailiao/ New Carbon Materials | Year: 2010
Activated carbons (ACs) with high specific surface area and abundant mesopores were prepared from coconut shell fibers through carbonization and NaOH/KOH activation. The influence of NaOH/KOH ratio, carbonization temperature, activation temperature, activation time and heating rate on the adsorption behavior of the ACs were investigated. The specific surface area of the obtained ACs under optimum conditions was 2032m2/g with 28% (volume fraction) of mesopores between 2 to 4nm. The iodine adsorption value and methylene blue adsorption value of the AC were 1435 and 495mg/g, respectively.
Liao S.,Wuhan University |
Li J.,Wuhan University |
Wang L.,Wuhan University |
Zhang Y.,Wuhan University |
And 5 more authors.
Asian Pacific Journal of Cancer Prevention | Year: 2010
Studies have showed an association between type 2 diabetes and breast cancer in Western countries. The association should be confirmed in an Asian population which has a lower incidence of breast cancer. Our study aimed to compare the clinicopathologic characteristics of breast cancers in women with and without type 2 diabetes mellitus in China. Each group included 143 cases, similar in parity, body mass index, family history, mode of diagnosis, menarche age and hormone receptors except for progesterone receptor (PR). The diabetic patients were older, with a mean age of 58.3±10 years and the percentage of postmenopausal patients was 52%, which was higher than non-diabetic patients. Significant differences were found in tumor stage, the amounts of lymph node and with metastasis, these persisting after adjustment for age. Furthermore, a positive association with higher TNM status and PR negative rate was noticed in premenopausal but not postmenopausal diabetic patients. Our results indicate that type 2 diabetes mellitus is a negative prognostic factor for breast cancer, especially in premenopausal women.