CSRm束流径向和轴向振荡的耦合

介绍了由于磁铁的安装误差和螺线管的存在而造成的束流径向和轴向的耦合，以及耦合对束流稳定的影响。结合CSRm结构的典型参数分析得出:二极磁铁和四极磁铁在纵向角安装偏差为-0.5~0.5 mrad；有螺线管存在的情况下，工作点落在和共振线时，将导致束流不稳定而大量损失，落在差共振线时，束流稳定。通过模拟计算发现:螺线管产生的耦合远大于磁铁的纵向角安装偏差产生的耦合。     

Rheological properties of network models with configuration-dependent creation and loss rates

A numerical stochastic approach allows the exact solution of the convection equation arising in network theories. We now want to show the flexibility and the limits of this approach by studying the rheological properties of different kinds of models.     

动态塑性试验技术

对动态塑性试验技术作了扼要综述。简单介绍了各种试验方法的基本原理及其应用范围,并评述了各自所具有的特点和不足之处。      

大气压冷等离子体射流灭活子宫颈癌Hela细胞

研究了大气压冷等离子体射流对子宫颈癌Hela细胞的灭活机制. 在倒置显微镜下观察不同等离子体处理条件下的细胞形态, 并通过中性红吸收测试定量测定各个条件下的细胞存活率. 将功率维持在18 W, 在900 mL/min 氩等离子体中添入氧气的百分含量分别为1%, 2%, 4% 和8%的条件下处理Hela细胞, 探讨活性气体氧气在惰性气体氩气中的百分含量对Hela癌细胞灭活效率的影响, 发现添加2%氧气时, 氩/氧等离子体灭活效果最佳, 处理180 s后细胞存活率可降至7%. 当继续添加氧超过2%时, 灭活效果逐渐减弱, 直至8%时, 其效果反而不如单纯氩等离子体. 通过测量等离子体发射光谱, 结果表明活性氧自由基在癌细胞灭活过程中可能起关键作用. 关键词： 大气压冷等离子体射流 Hela癌细胞 存活率 发射光谱     

高位振动态RbH(Х1Σ+,v″≧15) 与CO2碰撞转移中的能量相关性

研究了高位振动态RbH(Х1Σ+,v″=15-21)与CO2碰撞转移过程。脉冲激光激发RbH至高位态,利用激光感应荧光 光谱(LIF)得到RbH(Х1Σ+,v″)与CO2的猝灭速率系数,。利用激光泛频光谱技术,测量了CO2(0000,J)高转动态分布。得到了转动温度,从而获得了平均转动能和转动能的变化<ΔErot>,发现。对于v"=16,证实了振动—振动能量转移的4-1近共振过程。在一次碰撞条件下,通过速率方程分析,得到RH(v")-CO2振转速率系数。对于v"=15,J=32-48,速率系数在1.25-0.33×10-13cm3s-1.之间,对于v"=21,速率系数在2.47-1. 53×10-13cm3s-1之间,其能量相关性是明显的。     

大气等离子体加工过程的原子发射光谱研究

大气等离子体加工反应过程中,等离子体发生装置的热稳定过程对去除率有直接影响,CF₄是化学反应中活性F*原子的提供者,O₂是重要的辅助气体。为了寻找这三者对大气等离子体加工反应过程的影响规律,采用大气等离子体加工系统进行加工、光谱仪监控等离子体反应过程的活性F*原子的光谱变化。实验结果表明,在大气压等离子体加工系统中: 热稳定后,活性F*原子强度基本不随时间变化;随着CF₄含量的增加,F*原子谱线轮廓发生了自吸收现象,这说明采用光谱法研究CF₄含量对活性F*原子含量的影响是不完全准确的;由于O₂易和CF₄解离的中间产物反应,抑制活性粒子重新组合,因此一定范围内随着O₂含量增加,活性F*原子增加。     

Ni熔体凝固过程中临界晶核和亚临界晶核的分子动力学模拟

本文用分子动力学模拟研究了Ni熔体以不同冷速凝固后微观结构的演变规律, 并通过理论计算确定出了Ni熔体凝固后获得理想非晶的临界条件. 模拟结果发现冷速小于10¹¹ K/s时, Ni 熔体凝固后形成晶态组织; 冷速在10¹¹ K/s到10^14.5 K/s之间时, Ni熔体凝固后形成由晶态结构与非晶态结构组成的混合组织. 冷速小于10¹⁰ K/s, Ni 熔体凝固后形成的晶态组织具有fcc结构; 冷速在10¹⁰ K/s到10^14.5 K/s之间时, Ni熔体凝固后组织中的晶态由fcc和hcp结构层状镶嵌排列构成. 通过分析模拟结果和计算结果, 确定出了Ni熔体凝固后形成理想非晶的临界冷速为10^14.5 K/s. 并发现Ni熔体中临界晶核(冷速等于10^14.5 K/s)和亚临界晶核(冷速大于10^14.5 K/s) 均由fcc和hcp组成层状偏聚结构, 这表明Ni熔体中生长的晶体、临界晶核和晶胚的结构是相同的. 关键词： 分子动力学模拟 晶体团簇 临界冷速 结构     

Associations between Neurocardiovascular Signal Entropy and Physical Frailty

In this cross-sectional study, the relationship between noninvasively measured neurocardiovascular signal entropy and physical frailty was explored in a sample of community-dwelling older adults from The Irish Longitudinal Study on Ageing (TILDA). The hypothesis under investigation was that dysfunction in the neurovascular and cardiovascular systems, as quantified by short-length signal complexity during a lying-to-stand test (active stand), could provide a marker for frailty. Frailty status (i.e., “non-frail”, “pre-frail”, and “frail”) was based on Fried’s criteria (i.e., exhaustion, unexplained weight loss, weakness, slowness, and low physical activity). Approximate entropy (ApEn) and sample entropy (SampEn) were calculated during resting (lying down), active standing, and recovery phases. There was continuously measured blood pressure/heart rate data from 2645 individuals (53.0% female) and frontal lobe tissue oxygenation data from 2225 participants (52.3% female); both samples had a mean (SD) age of 64.3 (7.7) years. Results revealed statistically significant associations between neurocardiovascular signal entropy and frailty status. Entropy differences between non-frail and pre-frail/frail were greater during resting state compared with standing and recovery phases. Compared with ApEn, SampEn seemed to have better discriminating power between non-frail and pre-frail/frail individuals. The quantification of entropy in short length neurocardiovascular signals could provide a clinically useful marker of the multiple physiological dysregulations that underlie physical frailty.     

Maximum Entropy Approach to Reliability of Multi-Component Systems with Non-Repairable or Repairable Components

The degradation and recovery processes are multi-scale phenomena in many physical, engineering, biological, and social systems, and determine the aging of the entire system. Therefore, understanding the interplay between the two processes at the component level is the key to evaluate the reliability of the system. Based on the principle of maximum entropy, an approach is proposed to model and infer the processes at the component level, and is applied to repairable and non-repairable systems. By incorporating the reliability block diagram, this approach allows for integrating the information of network connectivity and statistical moments to infer the hazard or recovery rates of the degradation or recovery processes. The overall approach is demonstrated with numerical examples.