超声心动图联合64排CT心血管造影在法洛四联症诊断中的应用研究

目的:通过对比单纯超声心动图和超声心动图联合64排CT心血管造影对肺动脉狭窄部位的诊断准确性,对肺动脉主干、左、右肺动脉内径、右心室流出道内径以及患儿肺血管发育情况的预测准确率,并通过相关性分析说明超声心动图和64排CT心血管造影两种方法对左右心室各指标测量结果的密切相关性,从而阐明联合应用两种方法在提高法洛四联症心血管成像诊断准确率中的重要意义。方法:分别采用超声心动图和超声心动图联合64排CT心血管造影诊断肺动脉狭窄部位以及评价患儿肺血管发育情况,并与手术后实际诊断结果比较;采用超声心动图和超声心动图联合64排CT心血管造影测量肺动脉主干、左、右肺动脉内径以及右心室流出道内径,并与手术后实际测得结果比较;相关性分析说明超声心动图和64排CT心血管造影两种方法对左右心室各指标测量结果的相关情况。结果:超声心动图联合64排CT心血管造影诊断肺动脉狭窄部位的准确率为91.5%,明显高于单纯超声心动图的准确率68.1%(P<0.05);联合诊断组所测得Me Goon指数、Nakata指数、肺动脉主干、左、右肺动脉内径以及右心室流出道内径与手术组实测结果间无明显统计学差异(P>0.05),而超声心动图与手术实测结果相比有明显统计学差异(P<0.05);超声心动图和64排CT心血管造影对左右心室各指标测量结果均呈现密切相关性(r>0.7,P<0.05)。结论:单纯超声心动图和64排CT心血管造影在诊断法洛四联症病变方面呈现密切相关性,但超声心动图联合64排CT心血管造影对法洛四联症(TOF)病变情况的诊断准确率明显高于单纯超声心动图,为临床上法洛四联症心血管成像提供了新的思路。      

2009年11月江苏南部一次大雾天气诊断分析

利用地面观测和探空资料及NCEP 1^。×1^。再分析资料,分析了2009年11月25-27日江苏省南部大雾的成因。结果表明：逆温层的高度及强度与雾的浓度关系密切,弱冷暖平流有利于产生雾,但是温度平流在近地面一定高度迅速逆转使得温度层结由不稳定转为稳定更利于浓雾产生。边界层在低层辐合上升和高层辐散下沉的界面中形成逆温层,是产生浓雾的重要因素。对大雾天气进行诊断分析,有利于更加准确的对大雾天气进行数值预报,减轻此类灾害性天气的危害。     

城市供水管网健康监测与诊断(Ⅰ)——用户流量的预测

供水管网运行状态的准确把握对供水管网的健康监测和健康诊断至关重要,而供水管网运行状态准确把握的关键则在于对用户流量的准确把握。本文提出了供水管网用户流量预测的两个方法,EMD分解与自回归模型相结合的方法和逐步回归方法与自回归模型相结合的方法,文中通过一实际供水管网中某用户流量的预测分析并与实际监测值的比较,验证了两个方法的有效性。研究使得城市供水管网健康的在线监测和在线诊断成为可能。     

绵阳“9．22～27”持续暴雨过程特征及成因分析

利用常规实测资料、NCEP刷CAR再分析资料、T213分析资料,对绵阳地区2008年9月22—27日出现的持续性暴雨过程进行环流形势及物理量场分析,结果表明：此次降水过程可分为两个明显的降水时段,其区域不同、强度不一;副高、冷空气、两条水汽通道以及台风是此次过程的主要影响系统;第一降水时段的各物理量水平皆大于第二时段,不稳定能量、水汽和气流的辐合、辐散区分布及上升下沉气流的位置和强度对暴雨的强度和落区预报有较好的指示意义。     

近46年中国冬季日均气温及极端温度的变化

应用1961—2006年我国599个站的冬季逐日平均温度资料,分析了冬季各月最低（高）日均温度、低温日数及三种极端温度指数的变化趋势。结果表明冬季各月最低、最高温度的变化均呈明显上升趋势,2月份升温最显著,日均气温低于5℃的冷日数和日均气温低于-10℃的严寒日数在冬季各月都是减少的。全国近46年冬季极端低温日数呈明显减少的趋势,1986年出现一次跃变,2006年最少;极端高温日数普遍增加,1995年出现跃变,1998年达到峰值;霜冻日数在27°N-46°N间区域显著减少,跃变点在1987年,最低值出现在1998年。     

隧道衬砌厚度不足的健康判据试验研究

针对目前隧道健康诊断指标判据不统一的现状,采用室内相似模型试验,结合实际工程实例,研究了隧道支护结构衬砌减薄状态下围岩与支护结构破坏规律与极限承载能力,得出了隧道支护结构在相应的受力状态下健康状态判据。结果表明：隧道衬砌支护结构的位移特征以拱肩的压入和拱顶的挤出为主,随着拱顶衬砌支护结构减薄量的增加,支护结构衬砌与围岩之间的接触应力逐渐减小,结构的承载能力逐渐下降,隧道拱顶部位的位移增加,其柔性逐渐增大,隧道拱顶内侧被压溃,外侧受到拉力作用而开裂,随后隧道拱腰和边墙出现裂纹,最后逐渐扩展贯通;隧道承载力曲线呈现明显的“S”型,据此可以划分为承载力缓慢退化阶段、快速退化阶段和退化完成阶段,相对应的阶段可以划分为隧道结构的健康等级与级别,为工程应用提供了参考依据     

RBF神经网络在电路故障诊断中的应用研究

电路系统在工业控制中起着极其重要的应用,随着电路越来越复杂,电路各节点间的关系呈现非线性关系,若节点发生故障,如何确定故障发生在何处成为一大难题。利用RBF（radical basis function）神经网络可以快速逼近任意非线性函数及良好分类能力的特点,来实现对电路系统的故障分类。通过RBF与BP方法的比较及实例分析可得出结论,RBF可以很精确地确定电路中的故障来源,在对电路故障诊断能力方面具有较多的优越性。     

Spatial Access to Health Care Services and Disparities in Colorectal Cancer Stage at Diagnosis in Texas

Early diagnosis of colorectal cancer (CRC) is important for improving the survival rate of the disease. Disparities in CRC diagnosis among different population groups have persisted in the United States. This study examines whether spatial access to medical services contributes to disparities of late-stage diagnosis of CRC in Texas. Analysis results suggest that there are significant disparities in late-stage CRC diagnosis by race/ethnicity, socioeconomic status, and geographic location in Texas. It is concluded that spatial access to primary care is associated with CRC stage at diagnosis, but not with racial/ethnic and socioeconomic disparities.     

Analysis of geographical disparities in temporal trends of health outcomes using space–time joinpoint regression

Analyzing temporal trends in health outcomes can provide a more comprehensive picture of the burden of a disease like cancer and generate new insights about the impact of various interventions. In the United States such an analysis is increasingly conducted using joinpoint regression outside a spatial framework, which overlooks the existence of significant variation among U.S. counties and states with regard to the incidence of cancer. This paper presents several innovative ways to account for space in joinpoint regression: (1) prior filtering of noise in the data by binomial kriging and use of the kriging variance as measure of reliability in weighted least-square regression, (2) detection of significant boundaries between adjacent counties based on tests of parallelism of time trends and confidence intervals of annual percent change of rates, and (3) creation of spatially compact groups of counties with similar temporal trends through the application of hierarchical cluster analysis to the results of boundary analysis. The approach is illustrated using time series of proportions of prostate cancer late-stage cases diagnosed yearly in every county of Florida since 1980s. The annual percent change (APC) in late-stage diagnosis and the onset years for significant declines vary greatly across Florida. Most counties with non-significant average APC are located in the north-western part of Florida, known as the Panhandle, which is more rural than other parts of Florida. The number of significant boundaries peaked in the early 1990s when prostate-specific antigen (PSA) test became widely available, a temporal trend that suggests the existence of geographical disparities in the implementation and/or impact of the new screening procedure, in particular as it began available.     

Statistical diagnosis and gross error test for semiparametric linear model

This paper systematically studies the statistical diagnosis and hypothesis testing for the semiparametric linear regression model according to the theories and methods of the statistical diagnosis and hypothesis testing for parametric regression model. Several diagnostic measures and the methods for gross error testing are derived. Especially, the global and local influence analysis of the gross error on the parameter X and the nonparameter s are discussed in detail; at the same time, the paper proves that the data point deletion model is equivalent to the mean shift model for the semiparametric regression model. Finally, with one simulative computing example, some helpful conclusions are drawn.