碟形弹簧对电机止推轴承的影响

潜油电机是一个立式悬挂电机,为承受转子的重量,使电机转子在固定的位置工作,电机上部有一个止推轴承.其工作原理是:止推轴承动静块组成一对摩擦副,在运转过程中,润滑油能在摩擦表面形成一层连续稳定的压力油膜,有效地隔离金属之间的相互接触及干摩擦,以承受转子的轴向力.止推轴承下部有一个碟形弹簧,它支撑着止推轴承,可以卸载转子的轴向载荷,起到减震、缓冲的作用,使止推轴承在高速运转中可以保持平衡和稳定.止推轴承对电机的工作性能(动力性、经济性以及稳定性等)和使用寿命有着举足轻重的影响.     

钢筋混凝土结构的动力增量分析

结合钢筋混凝土的材料特性,介绍了基于ANSYS软件对钢筋混凝土结构进行非线性分析的重要问题,探讨了ANSYS在预处理模块、分析计算模块和后处理模块中的具体技术要点。文章重点介绍了动力增量分析方法的原理,通过与push-over方法的对比,得出了该方法所具有的优势,并通过针对钢筋混凝土结构来具体介绍增量动力分析法的应用。     

Fabrication of solenoid-type microinductor with different magnetic core schemes by MEMS technique

0 IntroductionThere has been a great demand on micro DC/DCconverter for the applications of the portable electronicproducts such as mobile communication product CDMA(Code Division Multiple Access) ,portable notebookcom-puter ,microprocessor ,digital camcorder andso on.Mag-netic components such as inductors and transformers arethe essential components in constructingthe power supplytransformer ,filter , oscillator , amplifier and micro DC/DCconverter ,andthe miniaturization of inductor an…     

元谋干热河谷区民营水土保持效益评价

民营水土保持是当今水土保持生态建设中出现的一种新模式,是水土保持走向市场的重要标志。本文以农户调查数据为基础,运用层次分析法,对元谋干热河谷区民营水土保持效益进行评价。研究显示,目前民营水土保持是以经济效益为主导,兼顾生态效益和社会效益;农户的思想开放程度、经营模式和理念、技术水平、市场等因素是影响效益的主要因素,提出政府应建立完善的制度体系,支持鼓励民营水土保持的发展。     

三峡库区典型滑坡危险度评价方法探讨

随着滑坡学的发展,如何定量和客观的评价典型滑坡的危险度越来越得到关注,根据典型滑坡的强度指标和发生可能性指标建立典型岩质滑坡危险度评价指标体系,利用信息熵原理,结合巫山县21个典型岩质滑坡计算各评价因子客观权重,建立定量评价模型.计算巫山县21个典型岩质滑坡的危险度,通过实地调查对评价结果进行对比验证,危险度评价结果处于高危险度的有3个点,占14.2%;中等危险度14个,占66.7%;低危险度4个,占19.1%;准确率达90.4%,此模型可作为评价典型滑坡危险度的新方法进行推广运用,为滑坡的防治提供依据.     

Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder

Attention deficit hyperactivity disorder (ADHD) is a common, heritable neuropsychiatric disorder of unknown etiology. We performed a whole-genome copy number variation (CNV) study on 1,013 cases with ADHD and 4,105 healthy children of European ancestry using 550,000 SNPs. We evaluated statistically significant findings in multiple independent cohorts, with a total of 2,493 cases with ADHD and 9,222 controls of European ancestry, using matched platforms. CNVs affecting metabotropic glutamate receptor genes were enriched across all cohorts (P = 2.1 × 10(-9)). We saw GRM5 (encoding glutamate receptor, metabotropic 5) deletions in ten cases and one control (P = 1.36 × 10(-6)). We saw GRM7 deletions in six cases, and we saw GRM8 deletions in eight cases and no controls. GRM1 was duplicated in eight cases. We experimentally validated the observed variants using quantitative RT-PCR. A gene network analysis showed that genes interacting with the genes in the GRM family are enriched for CNVs in ～10% of the cases (P = 4.38 × 10(-10)) after correction for occurrence in the controls. We identified rare recurrent CNVs affecting glutamatergic neurotransmission genes that were overrepresented in multiple ADHD cohorts.     

食物分类与血压的关系研究

目的通过对人群不同食物分类的摄入天数的调查,分析食物分类与血压之间的关系。方法随机从某单位选取101名职工为调查对象,年龄在31～57岁,男性34人,女性67人。所有调查对象均进行膳食问卷调查和血压的测量,通过logistics回归分析食物分类与血压之间的关系。结果血压偏高组人群平均每周摄入各类食物的比例均较血压正常少,其中蛋类及其制品、豆类及豆制品、谷类（大米,面食,杂粮）、牛奶及奶制品、肉类（猪,牛,羊,家禽）、新鲜蔬菜和水果的天数明显少于血压正常纽（P〈0．05）;通过logistics回归分析发现,谷类、牛奶及奶制品摄入的天数的增多对血压有一定的保护作用（P〈0．05）,其logistics回归分析OR值分别为0．61、0．41。结论食用谷类及奶制品对于预防高血压发生有重要的意义。     

基于有序Logistic回归模型的北京高校男生有氧能力

为探索北京高校男生有氧能力的影响因素,通过随机抽样法抽取134名18~25岁北京高校男生,空腹抽静脉血测血液指标,用德国MetaMax 3B系统实时监测气体代谢,通过线性递增方案测得VO2max相对值。基于Spearman相关、有序Logistic回归等分析方法进行分析处理。结果表明：北京高校男生有序Logistic回归方程：Ln{P(Y≤1|x)/1-P(Y≤1|x)}=-2.757-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5;Ln{P(Y≤2|x)/1-P(Y≤2|x)}=-0.771-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5（X1=体重、X2=心率(heart rate, HR)、X3=每搏输出量(stroke volume, SVI)、X4=心室射血时间(ventricular ejection time, VET)、X5=血红蛋白(hemoglobin, HGB)）。回归方程模型系数综合检验步(step)、块(block)、模型(model)检验的P值均小于0.01;拟合优度检验的-2对数似然值(-2LL)为159.374,Cox&SnellR2为0.331,NagelkerkeR2为0.373;预测等级1准确率为45.5%,等级2准确率为100%,等级3准确率为100%,综合为81.8%,说明Logistic回归模型性能良好。Hosmer和Lemeshow检验预测值与观望值无显著性差异（P>0.05）。可见北京高校男生定量负荷心功能、血液指标与有氧能力的多元Logistic回归模型拟合度较好,且HR、SVI、VET、HGB是有氧运动能力的重要预测因素。     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.     

基于Clementine的图书馆用户借阅行为的挖掘研究

本文利用Clementine软件和数据挖掘技术,对高校学生的借阅记录进行分析并挖掘建模,最后挖掘得到更深层次的数据,从而为图书馆管理者提供决策依据,帮助完善高校图书馆的服务功能。