基于ARM的嵌入式网络平台的设计

本文以ARM920T微处理器和CS8900A网络芯片硬件平台为基础,设计一个完整的嵌入式网络系统.经过仿真测试分析,这一系统基本达到小型网络或个人网络的数据分析、网络服务等功能的性能要求,同时也具有硬件扩展的适应能力.     

实时定量PCR检测B细胞恶性肿瘤中BCL11A基因的表达水平

目的:建立B细胞淋巴瘤/白血病BCL11A基因的定量检测方法,并分析其在B细胞恶性肿瘤中的表达水平。方法:利用实时定量RT-PCR分析B细胞淋巴瘤(18例)、B细胞性慢性淋巴细胞白血病(B-CLL,8例)、T细胞性急性淋巴细胞白血病(T-ALL,8例)和正常对照(15例)外周血单个核细胞(PBMC)中BCL11A基因的表达水平,以甘油醛-3-磷酸脱氢酶(GAPDH)基因作为内对照。结果:B-CLL组和B细胞淋巴瘤组患者PBMC中BCL11A表达水平均明显高于正常对照(P=0.000)和T-ALL组(P=0.000);T-ALL组和正常对照组BCL11A表达水平无显著差别(P=0.084);B-CLL组和B细胞淋巴瘤组BCL11A表达水平无显著差别(P=0.776)。在B细胞淋巴瘤不同的病例中,BCL11A表达水平有较大差异,其中最小值为0.04,最大值为9.70,中位值为1.00。结论:成功建立BCL11A基因的定量检测方法。     

A Class of Fast Algorithms in Real-Time Simulation

1.INTRODUCTIONThepartofthesystemisoftenreplacedbyamathematicalmodelinareal-timesimulationsystem.Inordertoimplementtheclassofsimulation,everystepofthesimulationproceduremustbedonequicklysothatitsatisfiesphysicalsubsystems'sexecution11].Withrequestsofthedevelopmentofscienceresearchandlargeprojects'design,real-timesimulationhasbeenappliedextensivelyinaviation,aerospace,nuclearindustry,electronicindustry,andsoon,suchasreal-timesimulationofthecontrolsystemofaircrafts,real--timesimulationofmissi…     

工业过程预测-模糊控制

本文针对非线性、大滞后工业过程难以控制的共性问题 ,将预测控制和模糊控制相结合 ,提出了一种预测—模糊控制方法 ,经过仿真研究和电渣重熔炼钢实时控制 ,证实了该方法的有效性和可行性。     

最大距离预测法在超长时间细胞序列图像跟踪中的应用

细胞活性是人类健康的重要指标。根据世界卫生组织(WHO)人类细胞活性检查与处理实验室手册第5版的要求,对细胞序列图像进行超长时间跟踪可以更精确地分析出细胞的活性。根据细胞运动目标的特点,提出一种基于小窗口的最大距离预测法应用于超长时间细胞序列图像的跟踪。跟踪细胞在每一帧的轨迹点,然后把这些轨迹点坐标连在一起就是细胞的运动轨迹。试验结果表明:该方法可以快速、准确、稳定地实时跟踪细胞。     

Reservation-based feedback scheduling of MPC tasks

A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The FS-CBS is shown robust against the varying of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness.     

MGB probe assay for rapid detection of mtDNAl1778 mutation in the Chinese LHON patients by real-time PCR

Objective： Leber＇s hereditary optic neuropathy （LHON） is a maternally inherited degeneration of the optic nerve caused by point mutations of mitochondrial DNA （mtDNA）. Many unsolved questions regarding the penetrance and pathophysiological mechanism of LHON demand efficient and reliable mutation testing. This study aims to develop a minor groove binder （MGB） probe assay for rapid detection of mtDNA11778 mutation and heteroplasmy in Chinese LHON patients by real-time polymerase chain reaction （PCR）. Methods： Forty-eight patients suspected of having LHON and their maternal relatives underwent a molecular genetic evaluation, with 20 normal individuals as a control group at the same time. A real-time PCR involving two MGB probes was used to detect the mtDNA 1 1778 mutation and heteroplasmy. A linear standard curve was obtained by pUCmLHONG and pUCmLHONA clones. Results： All 48 LHON patients and their maternal relatives were positive for rntDNA11778 mutation in our assay, 27 heteroplasmic and 21 homoplasmic. Eighteen cases did not show an occurrence of the disease, while 9 developed the disease among the 27 heteroplasmic mutation cases. Eleven did not show an occurrence of the disease, while 10 cases developed the disease among 21 homoplasmic mutation cases. There was a significant difference in the incidence between the heteroplasmic and the homoplasmic mutation types. The time needed for running a real-time PCR assay was only 80 min. Conclusion： This real-time PCR assay is a rapid, reliable method for mtDNA mutation detection as well as heteroplasmy quantification. Detecting this ratio is very important for predicting phenotypic expression of unaffected carriers.     

用于实时仿真的高阶Runge—Kutta方法

本文简要分析低阶实时仿真算法，构造实时的高阶（ｓ＝６，ｐ＝５）实时Ｒｕｎｇｅ—Ｋｕｔｔａ方法，分析了该方法的收敛阶条件和稳定性，并具体给出了三组实时仿真算法公式，数值试验结果表明，构造的实时高阶Ｒｕｎｇｅ—Ｋｕｔｔａ方法是可行的、有效的。     

利用牛顿迭代法计算附息国债的实时收益率

实时收益率是进行国债投资的重要指标,但附息国债实时收益的计算比较麻烦。本文介绍利用牛顿迭代法计算附息国债的实时收益率。     

数字超声电视测井车内计算机及实时信号处理技术

数字超声电视测井车内配备有一台IBM-PC/AT计算机,负责测井现场数据采集、处理及最后结果的输出.换能器旋转一圈,计算机可获得512点8bit的灰度信号、512点12bit的回波时间信号以及温度、深度、同步信号等.总数据率为92.16kbit/s.