Using genetically-defined rodent strains for the identification of hippocampal traits relevant for two-way avoidance behavior: a non-invasive approach

Summary Genetically-defined rodent strains permit the identification of hippocampal traits which are of functional relevance for the performance of two-way avoidance behavior. This is exemplified here by analyzing the relationship between infrapyramidal mossy fibers (a tiny projection terminating upon the basal dendrites of hippocampal pyramidal neurons) and two-way avoidance learning in about 800 animals. The necessary steps include 1) identification of structural traits sensitive to selective breeding for extremes in two-way avoidance, 2) testing the robustness of the associations found by studying individual and genetical correlations between hippocampal traits and behavior, 3) establishing causal relationships by Mendelian crossing of strains with extreme structural traits and studying the behavioral consequences of such structural randomization, 4) confirming causal relationships by manipulating the structural variable in inbred (isogenic) strains, thereby eliminating the possibility of genetic linkage, and 5) ruling out the possibility of spurious associations by studying the correlations between the hippocampal trait and other behaviors known to depend on hippocampal functioning.In comparison with the classical lesion approach for identifying relationships between brain and behavior, the present procedure appears to be superior in two aspects: it is non-invasive, and it focuses automatically on those brain traits which are used by natural selection to shape behaviorally-defined animal populations, i.e., it reveals the natural regulators of behavior.     

玻璃池窑的计算机辅助设计 I.燃油蓄热室流液洞马蹄焰玻璃池窑

用理论和实践经验相结合的方法,采用ＢｏｒｌａｄｎＣ＋＋语言设计了一个燃油蓄热室流液洞马蹄焰玻璃池窑,用ＡｕｔｏＣＡＤ１２．０版软件包绘制了三张窑炉图（平面图、横剖面图、纵剖面图）。     

扭矩对三维空间圆截面曲杆弹性屈曲的影响

采用自然坐标系,由Green应变张量的定义,给出了自然坐标形式的三维细长空间曲杆的Green应变计算公式,建立了同时考虑轴向压力和扭矩影响的能量变分方程.采用2节点12个自由度的自然坐标形式的三维空间曲梁单元,采用线性特征值分析方法,研究分析了同时受轴向压力和扭矩作用的具有初始曲率和挠率的三维空间杆柱的屈曲问题.数值结果与存在的理论解极为吻合,验证了公式的正确性.更为引人注意的是:不论直杆还是曲杆,扭矩对它们的弹性屈曲影响不可不计.     

冷再生机施工基层(底基层)质量控制要点

从冷再生机的功能、施工基层或底基层的工艺、施工操作方法、质量保证、施工进度以及注意事项和适用范围等方面,论述了冷再生机施工基层或底基层的程序和质量控制要点。     

一种基于无网格方式的弹塑性体变形仿真方法

提出了一种对高弹性、高塑性物体变形进行仿真的新方法。该算法利用点采样的方式表现表面,使用采样分裂和聚合以适应仿真中采样密度的变化。将弹性力学中的理论应用到仿真中,使用移动最小二乘法计算应力、张力、弹性体力,使用张力状态变量来描述弹塑性变化,利用向量位移进行了仿真。仿真结果可表现融化、分裂、聚合等弹塑性变形。     

不对称还原苯乙酮酸甲酯的生物转化菌种选育及条件优化

选用酵母菌、乳酸菌、粪链球菌、假丝酵母等4个种属共15株菌株,研究其对苯乙酮酸甲酯的不对称还原催化特性.以具有R(-)-扁桃酸甲酯较高转化活力的菌株S.cNo.1、S.cNo.3、S.cNo.9作为出发菌株,采用紫外与微波复合诱变的方法,筛选获得S.c3.5.16突变株.考察培养温度、pH值对该突变株转化活力的影响,结果表明,S.c3.5.16菌株的R(-)-扁桃酸甲酯生物转化最适反应条件为培养基pH6.5、温度38℃,苯乙酮酸甲酯转化为扁桃酸甲酯的得率达到99.3%,R(-)-扁桃酸的光学纯度达到95.5%e.e..     

一种改进的非线性铣削力建模与仿真

综合考虑再生振动效应和刀具偏心模型对动态铣削加工过程的影响．改进并建立具有较高预测精度的非线性圆周铣削力数学模型和铣削加工过程闭环控制系统．通过对比铣削动力学实验数据和计算机仿真结果验证了该模型的有效性和预测能力．     

不同株系丹参有效成分比较研究

为比较不同株系之间丹参有效成分的差异,采用高效液相色谱法测定丹参中包括丹参酮ⅡA在内的4种脂溶性成分和包括丹酚酸B在内的3种水溶性成分的含量,并应用SPSS软件对所得数据进行分析。通过对两大类成分的比较,发现10种株系丹参中,3、7号株系的脂溶性成分含量较高,可考虑培育为脂溶性成分提取原料;而1、9、10号株系的水溶性成分较高,可考虑培育为水溶性成分提取原料。显著性分析结果表明,所测10种不同株系丹参在其主要水溶性和脂溶性成分上存在显著差异。该研究可以为丹参优良种质的筛选提供依据。     

Stimuli-responsive polymeric materials for human health applications

Stimuli-responsive polymers have the extraor- dinary ability to change their physical and/or chemical state after they ＂detect＂ a change in their environment; their response depends dramatically on their chemical compo- sition. This property has been used for a plethora of applications; this review highlights their utility for human health. Specifically, this review will highlight efforts in the areas of sensing and biosensing, antimicrobial/antifouling coatings, tissue engineering and regenerative medicine, and drug delivery. Specific examples are given in each of these areas, with some focus on our work engineering poly（N- isopropylacrylamide）-based microgels and other respon- sive systems.     

HEV再生制动过程中CVT速比控制策略

考虑混合动力汽车制动安全性和燃油经济性,提出了一种基于电池SOC值和制动强度的再生制动力控制策略.提出了通过调节CVT的速比及控制电机工作在高效区来提高电机发电效率的再生制动控制方法.进行了整车再生制动系统建模和典型城市驱动循环工况下的仿真,结果表明,提出的CVT速比控制策略能使以CVT为变速器的混合动力汽车比以MT为变速器的混合动力汽车在ECE EUDC驱动循环工况下的再生制动能量回收率提高2.86%.