非相干光多级放大的一种新方法

本文基于光折变非线性光学中的光擦除和双光束耦合的基本原理，提出了一种实现非相干光多级放大的新方法，方案表明此方法是可行的。     

光擦除双光束耦合理论和实验研究

建立了光擦除双光束耦合理论的简单模型,理论分析了其特性,用Ce:KNSBN晶体进行了实验研究。实验结果与理论分析定性符合很好。     

直接耦合多级放大电路的虚拟测试分析与研究

利用NI Multisim 12.0仿真软件对直接耦合多级放大电路的静态值、差模电压放大倍数和共模抑制比等参数进行了虚拟测试分析。通过调整晶体管集电极电阻测试静态电压值,满足了分析放大电路的先静态、后动态原则。观察共模放大和差模放大时各级输出电压的不失真波形,计算了电压放大倍数,其结果与理论计算相吻合。进一步利用仿真软件中的温度扫描分析功能验证了温度对晶体管静态工作点的影响。     

一种基于TV模的图像放大新方法

图像放大技术是一种常见的重要的数字图像处理技术.本文从TV模与几何上曲率联系的角度,采用一种新的基于TV模的方法对图像放大过程中所新增加的数据进行处理,并且结合Matlab的剪裁函数imcrop,简易地实现了对图像特定区域的放大.     

一种高精度的瓦斯检测放大电路

集成电路ISO212P是一种小型化变压器耦合的隔离放大器，其片内采用两个高效率微型环形变压器，在信号和电源两通道之间提供高可靠的隔离。它具有非常高的精度，被广泛应用在工业过程控制、分析测量电路和数据检测设备中。章以此设计了瓦斯检测放大电路。     

4种多级计分非参数认知诊断方法的比较

本研究在已有研究的基础上,提出了2种更为简化的多级计分非参数认知诊断方法:简化多级聚类诊断法(S-GRCDM)和欧式距离判别法(EDD)。通过2个模拟设计,与多级聚类诊断法(GRCDM)和概率神经网络(PNN)2种已有方法进行了比较,结果表明:1)相较S-GRCDM,GRCDM更为简洁,而且判准率更高、更为稳定;2)在4种方法中,PNN和EDD判准率明显高于S-GRCDM和GRCDM,而且相较PNN,EDD在判准率和稳定性上更胜一筹,不易受属性个数和属性层级的影响;3)Q矩阵误设时,相较GRCDM和S-GRCDM,PNN和EDD敏感,S-GRCDM最为稳定。     

一种非均匀采样的新方法

针对被采样信号的高低频率分布,利用三角插值的超收敛性,给出一种精确选择一列采样点的方法,该方法能用较少的采样点得到重构质量较高的采样.     

一种基于分布式系统的队列多级调度算法

为了提高网络服务质量,提出一种网络业务中分布式系统的多级队列调度算法,该算法采用六级队列五级调度,配置灵活,同时五级调度流水实现,确保调度速度,为分布式系统的多级队列调度提供一种合理的机制,从而为各个队列所对应的用户/业务提供良好的QoS服务。     

一种适用于水下监测系统的多级调度机制

目前,对水下监测系统的研究主要集中于某个阶段的监测。针对水下监测系统能量受限的特点,提出一种适用于水下监测系统的多级调度机制。初始监测阶段在三维水下充分布置多个监测点,将需要监测的要素称为紧急因子,针对不同的监测要素设置不同的警戒值。同时,设置3种模式,对水下环境进行监测,以保证完成监测任务的同时,使传感器节点工作时间更长。     

材料力学中组合梁组合变形的一种通用解法

两种或多种不同材料制成的组合梁是工程实际中的一种常用结构。本文基于材料力学中的平面假设、胡克定律等基本假设和概念,给出了组合梁组合变形分析的一种通用解法,建立轴力、弯矩与拉伸位移和弯曲挠度的关系,推导出拉伸位移和弯曲挠度满足的微分方程。该分析方法简单易懂,适合材料力学教学和工程实际应用。     

一种提取血小板蛋白的新方法

目的:探讨高质量提取血小板蛋白的方法。方法:比较传统与改进后的提取血小板蛋白量,并进行蛋白定量和免疫蛋白印迹实验。结果:改进后的方法提取蛋白量平均为1.86g/L,传统方法为1.21g/L。免疫蛋白印迹实验表明,改进后的方法提取蛋白量高于传统方法,并且APP检测的结果好于传统方法。结论:通过实验可以得出改进后的提取蛋白方法,更有利于进行后续Alzheimer病的机理研究。     

TDI Char制备液体燃料方法

首次提出以甲醇超临界流体用于TDI Char 制备消解液体燃料技术。研究了制备实验条件并进行表征。结果表明,反应温度270 ℃?反应时间120 min 条件下,TDI Char 的消解率达95%。氧弹量热仪实验揭示,所得单位液体燃料的燃烧热值较直接燃烧TDI Char 增加了2.3 倍。     

一种新的计算预测alpha-synuclein蛋白质相互作用网络的方法

Alpha-synuclein plays an important role in Parkinson＇s disease （PD）. The current study of alpha-synuclein mainly concentrates at the gene level. However, it is found that the study at the protein level has special significance. Meanwhile, there is free information on the Internet, such as databases and algorithms of protein-protein interactions （PPIs）. In this paper, a novel method which integrates distributed heterogeneous data sources and algorithms to predict PPIs for alpha- synuclein in silico is proposed. The PPIs generated by the method take advantage of various experimental data, and indicate new information about PPIs for alpha-synuclein. In the end of this paper, the result illustrates that the method is practical. It is hoped that the prediction result obtained by this method can provide guidance for biological experiments of PPIs for alpha-synuclein to reveal possible mechanisms of PD.     

基于真值表搜索的逻辑函数自动化简方法

研究逻辑函数的化简方法具有重要理论价值和实际工程意义。基于真值表和卡诺图的等价性,本文提出一种基于真值表搜索的逻辑函数自动化简方法。在穷举搜索真值表中最小项组基础上,通过检查和合并而实现逻辑函数的自动化简。该方法不受变量数目限制,易于编程,为多变量数字系统的自动化设计提供了一条有效的系统化解决途径。     

A school-based feasibility study of method of levels: a novel form of client-led counselling

ABSTRACT

The purpose of this study was to test the feasibility and acceptability of a novel psychological therapy (Method of Levels) amongst adolescents experiencing psychological distress. An initial estimated effect size and a clinical significance analysis were undertaken which will help inform future studies. A case-series of 16 participants utilised the YP-CORE as a primary outcome measure. Data was collected at baseline, on completion of therapy (six months) and two and four months after completion of the therapy. Young people used a self-booking system to access sessions. Additionally, young people had full control over the content and length of the sessions. A total of 14 participants reported that the therapy was acceptable to them and 12 participants were retained for the entire course of the study. The self-booking system was successfully used with young people attending on average 6–8 sessions. Analysis of clinically significant change for the YP-CORE at therapy completion indicated that five students recovered and seven experienced no change; this was largely maintained at follow up. Effect size estimations were medium-to-large. Initial findings suggest that Method of Levels is a feasible and acceptable form of counselling for young people within the school setting. Moreover, positive preliminary effectiveness outcomes suggest that a randomised control study should be considered.     

A novel non-iterative shape method for estimating the decay time constant of the finger photoplethysmographic pulse

The photoplethysmogram (PPG) of a pulse wave, similar in appearance to the arterial blood pressure (ABP) waveform, contains rich information about the cardiovascular system. The decay time constant RC, equal to the product of peripheral resistance R and total arterial compliance C, is a meaningful cardiovascular model parameter in vascular assessment. Using or ameliorating the existing ABP methods does not achieve a satisfactory estimation of RC from the PPG volume pulse (VRC). Thus, a novel non-iterative shape method (NSM) of evaluating VRC is introduced in this paper. The mathematic expression between a novel, readily available morphological parameter called the area difference ratio (ADR) and VRC was established. As it was difficult to calculate VRC from the complicated expression analytically, we recommend estimating it using a piecewise linear interpolation criterion. Also, since the effect of the PPG magnitude is eliminated in the calculation of ADR, precaliberation or normalization is dispensable in the NSM. Results of human experiments indicated that the NSM was computationally efficient, and the simulation experiments confirmed that the NSM was theoretically available for ABP.     

A novel method for detection of hard exudates from fundus images based on SVM and improved FCM

Diabetic retinopathy (DR) is one of the most important causes of visual impairment. Automatic recognition of DR lesions, like hard exudates (EXs), in retinal images can contribute to the diagnosis and screening of the disease. To achieve this goal, an automatically detecting approach based on improved FCM (IFCM) as well as support vector machines (SVM) was established and studied. Firstly, color fundus images were segmented by IFCM, and candidate regions of EXs were obtained. Then, the SVM classifier is confirmed with the optimal subset of features and judgments of these candidate regions, as a result hard exudates are detected from fundus images. Our database was composed of 126 images with variable color, brightness, and quality. 70 of them were used to train the SVM and the remaining 56 to assess the performance of the method. Using a lesion based criterion, we achieved a mean sensitivity of 94.65 and a mean positive predictive value of 97.25 . With an image-based criterion, our approach reached a 100 mean sensitivity, 96.43 mean specificity and 98.21 mean accuracy. Furthermore, the average time cost in processing an image is 4.56 s. The results suggest that the proposed method can efficiently detect EXs from color fundus images and it could be a diagnostic aid for ophthalmologists in the screening for DR.     

基于自适应无味卡尔曼滤波的机床选点温升快速辨识方法研究

研究目的：为了缩短机床温升试验时间,提出一种机床热特性快速辨识方法,利用较短时间的温度采样数据即可准确预测出完整的温升曲线,进而获得热平衡时间及稳态温度等热特性参数。创新要点：提出了基于自适应无味卡尔曼滤波的机床选点温升快速辨识方法,其中最短辨识时间判据可以有效解决如何寻找准确辨识热特性参数的最短采样时间问题,而自适应无味卡尔曼滤波则可以实时调整参数,防止外界因素对辨识的干扰。研究方法：由于无味卡尔曼滤波在非线性状态预测和参数辨识上具有优势,所以本文将无味卡尔曼滤波算法应用到机床选点温升辨识上。为了防止辨识过程中的发散退化等问题,将无味卡尔曼滤波发展为自适应无味卡尔曼滤波（图1）。在快速辨识方法上提出了最短辨识时间判据（图2）。文章中又将此算法应用到实际的立式加工中心温升辨识上,证明了该算法的可行性及有效性（图5和6）。最后又将带有自适应调整过程的无味卡尔曼滤波算法和不带调整过程的算法做了对比,显示了自适应调整过程对辨识算法的重要性（图6和11）。重要结论：基于自适应无味卡尔曼滤波的机床选点温升快速辨识方法可以准确快速地辨识出温升曲线,获取热特性参数,将原来394 min的热平衡试验时间缩短,只需28 min即可得到温升变化情况。