习惯性流产患者精神状况探讨

采用习惯性流产妇女问卷，抑郁自评量表、焦虑自评量表、症状自评量表，对42例习惯性流产妇女和42例正常生育妇女（对照组）的精神状况进行了测评。结果：习惯性流产妇女90．5％感到精神压力，害怕再次妊娠流产，比对照组精神症状多，抑郁程度重，焦虑频度高。提示习惯性流产可能与精神心理因素有关；在对习惯性流产患者进行躯体治疗的同时，应提供心理疏导。     

应用反拖式底盘测功机快速检测汽车动力性

反拖式底盘测功机快速检测汽车动力性是一项新技术，其应用前景良好。     

Automatic semantic analysis of software requirements through machine learning and ontology approach

Nowadays, software requirements are still mainly analyzed manually, which has many drawbacks (such as a large amount of labor consumption, inefficiency, and even inaccuracy of the results). The problems are even worse in domain analysis scenarios because a large number of requirements from many users need to be analyzed. In this sense, automatic analysis of software requirements can bring benefits to software companies. For this purpose, we proposed an approach to automatically analyze software requirement specifications (SRSs) and extract the semantic information. In this approach, a machine learning and ontology based semantic role labeling (SRL) method was used. First of all, some common verbs were calculated from SRS documents in the E-commerce domain, and then semantic frames were designed for those verbs. Based on the frames, sentences from SRSs were selected and labeled manually, and the labeled sentences were used as training examples in the machine learning stage. Besides the training examples labeled with semantic roles, external ontology knowledge was used to relieve the data sparsity problem and obtain reliable results. Based on the SemCor and WordNet corpus, the senses of nouns and verbs were identified in a sequential manner through the K-nearest neighbor approach. Then the senses of the verbs were used to identify the frame types. After that, we trained the SRL labeling classifier with the maximum entropy method, in which we added some new features based on word sense, such as the hypernyms and hyponyms of the word senses in the ontology. Experimental results show that this new approach for automatic functional requirements analysis is effective.     

浅谈山区公路路线设计

从山区公路路线设计的线形选择、平纵面、构造物的布设以及环境保护等方面提出应注意的问题。     

尿毒症及肾病综合征患者血清蛋白电泳的变化

本文对50例尿毒症患者血清进行聚丙酰胺凝胶电泳,结果表明其α~-脂蛋白、部分α_1~-和α_2~-球蛋白明显下降,触珠蛋白、β-脂蛋白明显上升。同时对50例肾病综合征患者血清进行上述电泳,结果表明其白蛋白、部分α_1~-和α_2~-球蛋白明显下降,部分β_2-球蛋白及β-脂蛋白明显上升。对上述变化的机理及临床意义也进行了探讨。     

统计过程控制SPC在ERP质量管理中的应用研究

统计过程控制(SPC)是实现质量管理与控制的重要组成内容.在对SPC及其控制图进行基本阐述的基础上,结合企业ERP系统,在分析质量管理系统的功能模块后,将SPC技术与ERP质量管理系统进行了有效结合,并从受控质量特性选择和数据获取、控制图及其诊断以及工序能力指数等方面进行了深入研究和分析,给出了应用实例.该系统已经在企业得到很好的应用.     

葛根素对血管性痴呆大鼠海马中低氧诱导因子-1α和红细胞生成素表达的影响

目的观察葛根素对血管性痴呆(VD)大鼠海马中低氧诱导因子-1α和红细胞生成素表达的影响并探讨其可能机制。方法采用大鼠双侧颈总动脉永久性阻断法(2-VO)建立VD的动物模型,SD大鼠随机分为假手术组、2-VO组和葛根素组,每组又分为1周、3周、6周、2月(n=6)四个时间点;应用Y型水迷宫实验测定动物的学习记忆能力,采用免疫组化法检测大鼠海马CA1区HIF-1α和EPO蛋白的表达。结果①2-VO组和葛根素组大鼠游全程时间和误入盲端次数均显著增加,但各时间点葛根素组大鼠的学习记忆成绩均显著优于2-VO组。②各时间点,2-VO组和葛根素组大鼠海马CA1区HIF-1α和EPO的表达均较假手术组明显增高,但葛根素组两种蛋白的表达均较2-VO组明显降低。结论葛根素可提高缺血脑组织细胞内氧浓度,改善学习记忆功能,对VD具有确切的保护作用。     

低速运动条件下的磁传感器定位方法

为了提高磁传感器定位技术的实用性,将时分复用技术应用于磁传感器的定位中,有效解决了运动磁传感器的定位问题,提出了基于磁场模值的标量定位方法,解决了背景磁异常对磁传感器定位精度的影响,并理论分析和实验验证了所提方法的可行性,实验结果表明,定位距离在3 m内时误差在厘米级别,并有望随实验条件的改善而提高,且该方法定位的灵敏度非常高。     

AgNi15触头电性能试验研究

本文采用试验的方法,研究了模压烧结和模压烧结挤压两种不同工艺生产的Ag Ni15触头材料在抗熔焊、抗电损和分断能力方面所表现出来的差异。通过在特定样机上的试验,证实了不同的生产工艺对触头材料的电性能有一定的影响,并从理论上分析了造成影响的原因。     

Simulation of hydrodynamic performance of drag and double reverse propeller podded propulsors

The unsteady performance of drag and double reverse propeller podded propulsors in open water was numerically simulated using a computational fluid dynamics (CFD) method. A moving mesh method was used to more realistically simulate propulsor working conditions, and the thrust, torque, and lateral force coefficients of both propulsors were compared and analyzed. Forces acting on different parts of the propulsors along with the flow field distribution of steady and unsteady results at different advance coefficients were compared. Moreover, the change of the lateral force and the difference between the abovementioned two methods were mainly analyzed. It was shown that the thrust and torque results of both methods were similar, with the lateral force results having the highest deviation