PDLLA-CPP复合材料的安全性和生物相容性评价

目的　评价新型可吸收性高强度骨折内固定复合材料PDLLA CPP的生物安全性。方法　采用PDLLA CPP复合材料萃出液腹腔注射最大允许剂量的方法,测定该材料最大耐受量,进行小鼠骨髓细胞微核试验、小鼠精子畸变试验、小鼠骨髓细胞染色体畸变试验及致畸试验等毒理学试验,评价其安全性。同时采用该复合材料与体外培养软骨细胞直接接触法,观察其对软骨细胞生长和增殖的影响,评价其生物相容性。结果　最大耐受量的PDLLA CPP复合材料不影响小鼠骨髓细胞微核率、小鼠骨髓细胞染色体畸变率和小鼠精子畸变率,致畸试验阴性,也不影响软骨细胞生长和增殖。结论　PDLLA CPP复合材料是一种安全的可吸收性生物医用材料,有良好的细胞生物相容性。     

设计模式在典型.net三层架构Web程序中的应用

设计模式是一套被反复使用、经过分类编目的、代码设计经验的总结．使用设计模式是为了可重用代码，让代码更容易被他人理解，保证代码可靠性．文中介绍了设计模式，多层架构程序以及.net，论述了如何将设计模式应用到三层．net架构程序中，着重讨论了设计模式在数据库中的应用．     

益气养血保元方中微量元素对肝癌细胞的影响

本实验通过益气养血保元方(OQP)对肝癌SMMC-7721细胞的作用,看到OQP可抑制肝癌细胞~3H-TdR和~(14)C-UR的掺入率,二者间有随OQP剂量增大而抑制率升高的剂量效应关系,提示OQP影响了肝癌SMMC-7721细胞的DNA、RNA合成,直接影响了癌细胞的生长分化,这些作用,可能是通过OQP中低Cu/Zn比值,高硒含量而达到的。临床证实OQP可改善中、晚期肝癌病人一般状况,恢复放疗、化疗病人白血球外,可能对肝癌细胞还有直接抑制生长分化的作用。     

原发性结外淋巴瘤的治疗及影响预后因素分析

１９７７～１９８７年我院收治原发性结外淋巴瘤１００例，占同期住院淋巴瘤患者的１４．７７％。主要见于扁桃体、胃肠等器官。分别行手术、放疗、化疗及综合治疗，５年随访率９２％。结果综合治疗组较单纯手术或单纯放、化疗组３年、５年生存率明显提高；Ⅰ～Ⅳ期之间３年、５年生存率亦有非常显著性差异，并就影响预后的因素进行了探讨。     

英语写作教学探析

卓有成效的写作教学应该是能激发学生的创作热情,树立写作信心和培养写作兴趣的。写作教师应不断学习完善自己,改善教学方法,尝试市场需求和专业学习在教学上的结合。对学生习作要建立有效的评改反馈机制。     

c-Jun氨基末端激酶信号通路在大鼠脑缺血再灌注过程中的作用

目的探讨c-Jun氨基末端激酶(JNK)信号通路在大鼠脑缺血再灌注过程中所发挥的作用。方法雄性SD大鼠108只,体重290-310 g,随机分成假手术组(SH组)、缺血再灌注组(IR组)和JNK抑制剂SP600125组(SP组),分别于缺血前30 min侧脑室注射10 mL/L二甲基亚砜(DMSO)1、0 mL/L DMSO及JNK抑制剂SP600125。每组再根据再灌注时间分为2、6、12、24、487、2 h 6个亚组,每亚组6只动物。采用4-VO法建立SD大鼠全脑缺血模型,在预定时间点行灌注、固定、取脑、石蜡包埋切片;免疫组化方法检测p-JNK的表达变化,光镜下计数海马CA1区存活细胞,TUNEL法检测CA1区凋亡细胞。结果脑缺血再灌注后海马CA1区p-JNK在IR组有明显表达,于再灌注2 h时即明显升高,6 h时略有降低,后逐渐上升,24 h到高峰,之后表达量减小。SP组p-JNK的表达则无明显增高,各时点与IR组比较均有显著性差异(P<0.01)。海马CA1区神经元存活数目SP组明显高于IR组(P<0.01),凋亡指数显著低于IR组(P<0.01)。结论在大鼠全脑缺血再灌注损伤过程中,JNK信号通路发挥了重要作用,抑制JNK通路的激活可对脑缺血再灌注损伤导致的细胞损伤起到保护作用。     

虚拟仪器实现污水参数实时在线监测

介绍了利用美国NI公司的Lab VIEW5．0开发多参数污水在线监测系统的过程，讨论了设计中的关键技术。     

siRNA AGAINST SURVIVIN SUPPRESSES THE PROLIFERATION OF PANCREATIC CANCER CELL PC-2 AND INDUCES ITS APOPTOSIS

Survivinis a member of the inhibitor of apop-tosis family,whichinhibits cell apoptosis and regu-lates cell division.Survivin is expressed in embry-onic tissues as well as in the majority of humancancers,but is not expressed in most nor mal adulttissues.The highly cancer-specific expression ofSurvivin,coupled withits i mportance in inhibitingcell apoptosis and in regulating cell division,makesit a useful diagnostic marker and ideal target forcancer treat ment[1].RNAi is a process of post trans…     

ROLE OF PERIPHERAL LYMPHOCYTES SIALYL LEWIS（X） （CD15s） ANTIGEN BEFORE AND AFTER KIDNEY TRANSPLANTATION

Objective To investigate the role of peripheral lymphocytes Sialyl Lewis（x） （CD15s） antigen before and after kidney transplantation. Methods Flow cytometry technique was applied to examine the expression of peripheral lymphoid cell surface CD15s antigen after renal transplantation, and to evaluate various therapeutic regimen. Results The statistic analysis results of peripheral lymphoid cell surface CD15s antigen expression level showed that there was significant difference among the patients with acute rejection, long-term dialysis and with normal renal function post-transplant; significant difference of CD15s expression level between group of rejection and infection; no significant difference of CD15s expression among the different groups treated by various therapeutic regimens. Conclusion The different therapeutic regimen has no influence to CD15s expression; Detection of peripheral lymphoid cell surface CD15s antigen expression periodically, intelligently make convenience to understand suitable status of immunosuppression.     

CLASSIFICATIONS OF EEG SIGNALS FOR MENTAL TASKS USING ADAPTIVE RBF NETWORK

Objective This paper presents classifications of mental tasks based on EEG signals using an adaptive Radial Basis Function (RBF) network with optimal centers and widths for the Brain-Computer Interface (BCI) schemes. Methods Initial centers and widths of the network are selected by a cluster estimation method based on the distribution of the training set. Using a conjugate gradient descent method, they are optimized during training phase according to a regularized error function considering the influence of their changes to output values. Results The optimizing process improves the performance of RBF network, and its best cognition rate of three task pairs over four subjects achieves 87.0%. Moreover, this network runs fast due to the fewer hidden layer neurons. Conclusion The adaptive RBF network with optimal centers and widths has high recognition rate and runs fast. It may be a promising classifier for on-line BCI scheme.