淤污泥陶砂在高速公路声屏障工程中的应用

利用淤污泥陶砂制备声屏障材料,研究其密度、抗压强度、吸声性能和抗冻性能,并应用于实际工程。实验证明,该声屏障密度为780kg／m^2;28d抗压强度4．8MPa;平均吸声系数0．70,在交通频率集中的800-1200Hz状态下平均吸声系数为0．86;15次冻融循环,质量损失为0。     

车号自动识别系统在煤炭集港中的应用

AEI-CPS 已列入2003年国家火炬计划,是采用先进的微波识别技术对铁路咽喉通道的列车数据 进行实时采集、全天候监控列车信息的车号自动识别处理系统。它的研发和应用,代表了我国铁路货运信息化的 最新成果和发展方向,极大地提高了铁路运输的信息化程度。针对 AEI-CPS 系统在秦皇岛港的应用实例,详细论 述 AEI-CPS 设备的选择、方案的制订、实施过程、后期数据的维护、共享等诸多方面的课题。     

Network structure and reliability analysis of a new integrated circuit card payment system for hospital

This paper proposes a redundant network communication structure for the patient integrated circuit（IC）card payment system in a hospital information system（HIS）,compares it with the network structure of normal hospital IC card system,and calculates the reliabilities of the related communications like the RS485communication and the Ethernet communication.The new structure can efectively promote the reliability of the hospital operation and ensure the payment collection when the Ethernet network is broken.The system is applied to a local hospital and the cost-performance rate is satisfactory during the application.     

淤污泥陶砂在高速公路声屏障工程中的应用

利用淤污泥陶砂制备声屏障材料,研究其密度、抗压强度、吸声性能和抗冻性能,并应用于实际工程。实验证明,该声屏障密度为780kg/m3;28d抗压强度4.8MPa;平均吸声系数0.70,在交通频率集中的800～1 200Hz状态下平均吸声系数为0.86;15次冻融循环,质量损失为0。     

真菌密度感应分子Farnesol在表皮葡萄球菌和白假丝酵母菌混合生物膜形成中的作用

目的探讨真菌密度感应分子Farnesol在表皮葡萄球菌和白假丝酵母菌混合生物膜形成中的作用。方法将表皮葡萄球菌标准株ATCC35984及白假丝酵母菌标准株ATCC10231混合培养建立体外生物膜模型,加入Farnesol或不加入Farnesol分为Farnesol处理组和对照组,孵育2、4、6、8、12、24、48、72、96h时用结晶紫染色法半定量检测生物膜形成能力;二甲氧唑黄(XTT)比色法评价生物膜的体外生长动力学;扫描电子显微镜观察生物膜超微结构;荧光定量PCR分析各组生物膜形成相关基因的表达情况。结果结晶紫染色法生物膜半定量检测显示,12、24hFarnesol处理组和对照组差异有统计学意义(P<0.05)。XTT比色法生长动力学检测显示,Farnesol处理组在4、48h与对照组比较,差异有统计学意义(P<0.05)。扫描电镜结果显示,对照组混合生物膜结构较Farnesol处理组致密复杂。荧光定量PCR结果显示,培养6hFarnesol处理组表皮葡萄球菌生物膜形成相关基因icaA、fbe、aap基因及白假丝酵母菌生物膜形成相关基因als3、hwp1、efg1基因的表达下调;培养24hFarnesol处理组表皮葡萄球菌生物膜形成相关基因aap基因及白假丝酵母菌生物膜形成相关基因als3、hwp1、efg1基因的表达下调。结论在真菌密度感应分子Farnesol的干预下,对照组形成的混合生物膜较Farnesol处理组结构更为致密及复杂,这种结构的改变可能与Farnesol处理组白假丝酵母菌生物膜形成相关基因als3、hwp1、efg1基因的表达下调相关性更密切。     

Recognition of red cell and megakaryocyte based L-shaped envelope function

In order to explore the cell composition and its metabolism, it is important to let computer recognize the cells and get the counts of different cells for a sample. This paper proposes an L-shaped envelop function and the related fuzzy clustering method as a way to identify the megakaryocyte and the red cell from the sliced marrow image. This method is useful when the staining is insufficient and the color cannot be used as the identifying factor. This method uses the experimental histogram data to fit the L-shaped function and then use it as the envelop for the match test. The fuzzy c-means (FCM) performance index is used to test the adjacent area and get the minimum and finally secure the identification. The new method is not limited to megakaryocyte or red cell and can be used for general purposes of cell recognition. Tests show that this envelop function can ensure the recognition rate with different staining batches and can reach satisfied counting under similar illumination condition.