Effects of Different Concentrations of Alcohol On Spatial Learning and Memory Ability and Hippocampal GFAP/NEUN in Mice

目的 探究长期饮酒对小鼠行为学能力以及空间学习记忆能力的影响。方法 雄性KM小鼠45只,随机分成对照组（Con）,低剂量组（Low）和高剂量组（High）。分别每天对照组0.10 ml/10 g自来水,低剂量组0.05 ml/10 g的56度红星二锅头,高剂量组0.10 ml/10 g的56度红星二锅头进行灌胃。连续灌胃13 d后进行衣架实验测行为学能力,最后取海马做免疫荧光染色观察海马神经元和星形胶质细胞。结果衣架实验得分,自主活动数值总体显示Low组高于其他两组,而且与Con组差异显著;免疫荧光结果显示无论是CA3区,还是DG区,海马的星形胶质细胞含量与神经元细胞含量比值上Con,Low,High三组依次升高,而且Con,High之间对比,P〈0.05,差异有统计学意义。结论 长期大量饮酒会损伤学习记忆能力,但适量饮酒可以促进机体兴奋性和活动度。Objective To investigated the effects of long-term alcohol drinking on the ability of learning and memory in mice. Methods 45 male KM mice were randomly divided into control group （Con）, low dose group （Low） and high dose group （High）. The control group were daily 0.10 ml/10 g tap water, low dose group 0.05 ml/10 g, 56 degree star erguotou, high dose group 0.10 ml/10 g, 56 degree star Erguotou by intragastric administration. After 13 days of continuous feeding, the experiment was conducted to test the behavior of the horse＇s tail, and the hippocampus was observed by immunofluorescence staining. Results The hanger score, numerical display Low overall locomotor activity was higher than the other two groups, and group Con; immunofluorescence results showed that both the CA3 region or DG region, astrocytes and neurons of hippocampus content ratio on Con, Low, High three group were significantly increased, and Con, High had significant difference, Conclusion A large number of long-term drinking will damage the ability of learning and memory, but moderate alcohol consumption can promote the body excitability and activity

ANALYSIS of THE STATUS of HOSPITAL STRATEGIC COOPERATION IN XIAMEN

在对厦门市医院战略合作的动因、认知与开展情况、管理与绩效状况进行调查分析的基础上,建议厦门市应力争建设海峡两岸医疗合作先行区,开展多种形式的医疗合作,并对医院间战略合作进行全程管理。厦门市科技计划项目(编号:3502Z20075011

甲泼尼龙诱导股骨头坏死发生发展的实验研究

目的: 动态观察甲泼尼龙诱导家兔股骨头坏死的发生发展, 找出股骨头坏死动物模型的确切观察终点。方法: 以马血清和甲泼尼龙联用诱导兔股骨头坏死模型的产生, 通过活体股骨头 X 线照片、骨密度的测量、股骨头切片光镜和电镜 及骨动力学检查,对动物模型不同阶段进行评价。结果: 模型 8 周时 X 线照片显示: 骨质软化, 不规则骨小梁吸收, 坏死, 光 镜、电镜检查显示软骨下区骨骼造血细胞减少, 脂肪细胞肥大; 16 周时 X 线照片显示模型动物骨质疏散, 骨小梁模糊, 股骨头 密度减低,光镜、电镜检查呈现股骨头坏死的早期病理改变, 属 Ficat 分级的 Ⅰ级和Ⅱ级, 计数空骨陷窝率明显增加,股骨骨生 长测定值明显降低。结论: 甲泼尼龙诱导的家兔股骨头坏死 8周时已开始发生,16周已具备确切、明显股骨头坏死特征

Sensor Referenced Real-Time Videolization of Atomic Force Microscopy for Nanomanipulations

The main problem of atomic force microscopy (AFM)-based nanomanipulation is the lack of real-time visual feedback. Although this problem has been partially solved by virtual reality technology, the faulty display caused by random drift and modeling errors in the virtual reality interface are still limiting the efficiency of the AFM-based nanomanipulation. Random drift aroused from an uncontrolled manipulation environment generates a position error between the manipulation coordinate and the true environment. Modeling errors due to the uncertainties of the nanoenvironment often result in displaying a wrong position of the object. Since there is no feedback to check the validity of the display, the faulty display cannot be detected in real time and leads to a failed manipulation. In this paper, a real-time fault detection and correction (RFDC) method is proposed to solve these problems by using the AFM tip as an end effector as well as a force sensor during manipulation. Based on the interaction force measured from the AFM tip, the validity of the visual feedback is monitored in real time by the developed Kalman filter. Once the faulty display is detected, it can be corrected online through a quick local scan without interrupting manipulation. In this way, the visual feedback keeps consistent with the true environment changes during manipulation, which makes it possible for several operations to finish without an image scan in between. The theoretical study and the implementation of the RFDC method are elaborated. Experiments of manipulating nanomaterials including nanoparticles and nanorods have been carried out to demonstrate its effectiveness and efficiency.</p

一种基于云边协同的配电台区分级线损分析系统

本发明提出的是一种基于云边协同的配电台区分级线损分析系统。包括云端线损分析平台、边端智能融合终端和电能数据采集终端。电能数据采集终端负责采集台区各个关键节点处的用电信息，并把采集的信息传送给边缘侧的智能融合终端，智能融合终端负责在边缘侧计算台区拓扑，并依据拓扑信息分级计算线损，云端的线损分析平台用于对边缘侧的拓扑信息进行校核以及依据边缘侧分级线损计算值，进行区域线损计算、异常线损点定位和窃电分析等线损精益化管理。本发明能够实现“变压器‑低压出线”、“低压出线与分支箱”、“分支箱与表箱”、“表箱与户表”的多级线损核算与分析方法，充分利用现有设备，成本低，易实现，从而实现配电台区的区域“自治”

一种基于云边协同的配电台区分级线损分析系统

本发明提出的是一种基于云边协同的配电台区分级线损分析系统。包括云端线损分析平台、边端智能融合终端和电能数据采集终端。电能数据采集终端负责采集台区各个关键节点处的用电信息，并把采集的信息传送给边缘侧的智能融合终端，智能融合终端负责在边缘侧计算台区拓扑，并依据拓扑信息分级计算线损，云端的线损分析平台用于对边缘侧的拓扑信息进行校核以及依据边缘侧分级线损计算值，进行区域线损计算、异常线损点定位和窃电分析等线损精益化管理。本发明能够实现“变压器‑低压出线”、“低压出线与分支箱”、“分支箱与表箱”、“表箱与户表”的多级线损核算与分析方法，充分利用现有设备，成本低，易实现，从而实现配电台区的区域“自治”