人胎胰组织培养实验研究

本文总结了60例中期妊娠水囊引产的人胎胰组织,用Ham′s F_(10)培养基,在37℃恒温箱经闭式培养法培养观察不同的胎龄,不同的培养天数,不同的细胞形态释放胰岛素及C肽的能力。结果表明:细胞培养最佳期为1～6天,圆形细胞比梭形细胞释放胰岛素、C肽能力强(p<0.01),不同胎龄的胰岛组织释放胰岛素、C肽的能力无差异(p>0.05)。     

秦巴山区孕妇人巨细胞病毒宫内感染与UL54、UL97基因突变的关系

目的探讨秦巴山区孕妇妊娠期人巨细胞病毒(HCMV)宫内感染与HCMV UL54、UL97基因突变的关系。方法采用PCR方法检测228对孕妇血清和新生儿脐血血清中的HCMV DNA,对HCMV DNA阳性者采用限制性片段长度多态性(PCR-RFLP)方法检测HCMV UL54、UL97基因501、594及595密码子是否发生突变。结果①228例孕妇血清中HCMV DNA阳性者19例,阳性率为8.33%;新生儿脐血血清中HCMV DNA阳性8例,阳性率为3.51%。在19例HCMV DNA阳性孕妇中,其配对脐血阳性7例,HCMV宫内传播率为36.84%。②HCMVDNA阳性孕妇血清及其配对脐血阳性的标本中均未发现HCMV UL54、UL97基因501、594及595密码子发生突变。结论秦巴山区HCMV宫内感染的发生率较高,其发生与HCMV UL54、UL97基因501、594及595密码子突变无相关性,但不排除存在其他位点突变或其他形式基因异常导致病毒致病性改变的可能性。     

Cyclin D_1反义寡核苷酸对人黑色素瘤细胞周期的影响及对细胞增殖抑制作用的研究

目的　探讨cyclinD1反义寡核苷酸对人黑色素瘤的潜在治疗作用。方法　合成针对cyclinD1翻译起始部位序列的 2 0bp硫代反义寡核苷酸 (AS ODN)。采用流式细胞仪检测细胞周期的分布 ,用台盼蓝计数、集落形成抑制试验体外观察AS ODN对人黑色素瘤细胞增殖的影响。结果　cyclinD1反义寡核苷酸能增加G1期细胞百分比 ,降低S期细胞百分比 ,且明显抑制人黑色素瘤细胞生长和集落形成。结论　CyclinD1反义寡核苷酸能有效抑制人黑色素瘤细胞的增殖。     

滋养细胞肿瘤对甲状腺功能的影响

４６例滋养细胞肿瘤病人的甲功检测结果表明：１２例并发甲亢，其血清β－ＨＣＧ、Ｔ４、Ｔ３、ＦＴ４Ｉ增高，Ｔ３／Ｔ４下降，Ｔ３Ｕ、ＴＳＨ保持正常。β－ＨＣＧ水平与Ｔ３、Ｔ４、ＦＴ４Ｉ呈正相关。β－ＨＣＧ＞２０００ＩＵ／Ｌ６例，５例为甲亢；２例有甲亢症状者，β－ＨＣＧ均＞１００００ＩＵ／Ｌ。ＨＣＧ具有弱的促甲状腺素（ＴＳＨ）作用，可能是该肿瘤并发甲亢的原因。葡萄胎清宫后、恶葡及绒癌有效化疗后，甲亢症状消失，甲功恢复正常。     

人微小病毒B19及硒与大骨节病关系的研究

目的　研究人微小病毒B19(B19)感染和硒与大骨节病的关系。方法　采用聚合酶链反应 (PCR)及荧光法检测大骨节病病区儿童血清B19DNA和红细胞硒含量 ,并与非病区健康儿童进行对比分析。结果　大骨节病病区儿童血清B19感染率显著高于非病区儿童 ,红细胞硒含量显著低于非病区儿童 ,低硒营养状态的儿童B19感染率明显高于正常硒水平的儿童。结论　我国大骨节病病区存在着B19感染的流行 ,低硒可能是B19感染发生和发展的条件。     

驾驶舱眩光仿真分析与实车评价

良好的汽车驾驶舱视觉舒适性能够保障驾乘人员的行车安全，提高道路交通的稳定性，因此汽车驾驶舱的人机工程布置和内饰设计需要考虑减少驾驶舱眩光的产生。针对该问题，提出了一种基于CATIA/SPEOS的汽车驾驶室眩光评估方法。利用光线追踪法分析产生光反射部件之间的几何位置关系，在考虑材质属性、外界环境、真实光学效果和阳光照射方向的前提下，利用视觉仿真精确映射汽车驾驶舱的眩光位置。以某型SUV驾驶舱为例，通过光线跟踪分析发现，组合仪表不会有光线的直接照射产生眩光，中控大屏幕会有通过天窗和右边侧窗玻璃的光线直接照射产生眩光；通过视觉仿真分析发现，组合仪表由于光线折反射导致轻微眩光，中控大屏幕眩光面积较大；前挡风玻璃区域在中午和下午眩光较为严重，左边外后视镜区域在下午有空调镀铬装饰和风口造型的成像；中控大屏幕贴合AR防眩光膜优化后，分析结果表明，整块屏幕视觉效果趋于一致，视觉功效有显著提高。通过制定驾驶舱炫目主观评价流程并进行主观评价分析，得出驾驶舱眩光主观评价分析结果与仿真方法评估结果一致，表明该评估方法在新车研发和车型改款试制前期对驾驶室眩光分析和优化具有可行性。     

内部营销与人力资源管理

人力资源是企业的第一资源,人力资源管理开发是企业获得竞争优势的来源,用内部营销的思想有助于更好的进行人力资源管理开发。     

Optimisation of nonlinear motion cueing algorithm based on genetic algorithm

Motion cueing algorithms (MCAs) are playing a significant role in driving simulators, aiming to deliver the most accurate human sensation to the simulator drivers compared with a real vehicle driver, without exceeding the physical limitations of the simulator. This paper provides the optimisation design of an MCA for a vehicle simulator, in order to find the most suitable washout algorithm parameters, while respecting all motion platform physical limitations, and minimising human perception error between real and simulator driver. One of the main limitations of the classical washout filters is that it is attuned by the worst-case scenario tuning method. This is based on trial and error, and is effected by driving and programmers experience, making this the most significant obstacle to full motion platform utilisation. This leads to inflexibility of the structure, production of false cues and makes the resulting simulator fail to suit all circumstances. In addition, the classical method does not take minimisation of human perception error and physical constraints into account. Production of motion cues and the impact of different parameters of classical washout filters on motion cues remain inaccessible for designers for this reason. The aim of this paper is to provide an optimisation method for tuning the MCA parameters, based on nonlinear filtering and genetic algorithms. This is done by taking vestibular sensation error into account between real and simulated cases, as well as main dynamic limitations, tilt coordination and correlation coefficient. Three additional compensatory linear blocks are integrated into the MCA, to be tuned in order to modify the performance of the filters successfully. The proposed optimised MCA is implemented in MATLAB/Simulink software packages. The results generated using the proposed method show increased performance in terms of human sensation, reference shape tracking and exploiting the platform more efficiently without reaching the motion limitations.     

基于中国人体驾乘姿态的汽车人机空间布置研究

合理的人机空间布置对汽车的舒适性与安全性至关重要,人体驾乘姿态是汽车人机空间布置的依据。文章设计试验,扫描得到500样本分别在8辆车中的驾乘姿态数据,对数据进行统计分析,建立驾驶员座椅适宜线方程与中国人体2D模板,基于标杆车进行验证,结果显示,方程及模板精度较高,符合中国人体驾乘特征。该研究为汽车人机空间布置提供理论依据,为研发适合中国人驾乘的车辆提供支撑,对建立中国汽车人机设计体系具有重要意义。     

Exposure of Fauna to Off-Road Vehicle (ORV) Traffic on Sandy Beaches

Driving of off-road vehicles (ORVs) on sandy beaches is common and widespread, but is not universally embraced due to putative environmental impacts on beach biota. For ORVs to impact the beach fauna, traffic areas must overlap with faunal habitat: a fundamental pre-requisite for impact assessments but as yet un-quantified for sandy beaches. Thus, this study quantified the spatial and temporal patterns of ORV traffic on five Australian beaches, and measured the degree to which the distribution of intertidal macro-invertebrates overlaps with traffic zones. Traffic volumes on beaches can be considerable (up to 500 vehicles per day). The position of beach traffic across the beach-face is principally governed by tides and driver behavior. Despite driver education campaigns to the contrary, a considerable fraction of vehicles (16–67%) traverses the soft, upper shore near the foredunes. The majority (65%) of burrowing invertebrate species of the intertidal zone is directly exposed to traffic, save for species inhabiting the swash zone. Because beach traffic presents a formidable management challenge, a fundamental first step in identifying whether ecological impacts are indeed likely, is to assess the potential for spatial and temporal conflict between human pressures (e.g., ORVs) and biological resources (e.g., beach fauna). Although this potential is certainly substantial for sandy shores used by ORVs, the actual ecological impacts on the intertidal fauna can only be predicted in situations where the responses (e.g., direct mortality, behavioral changes) of individual species to beach traffic are known.