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LST相关的网络例句
与 LST 相关的网络例句 [注:此内容来源于网络,仅供参考]

By calculating the LST and asymptotic series of the service-time distribution we analyze the steady-state waiting-time probabilities of M/G/1 queue system. We also extend the special caseγ=3/2 to the normal case. The results show that it will be helpful to analyze the heavy-tailed waiting-time distribution of self-similar traffic sources. This chapter also proposes a generalized packets loss method.

本章第一部分通过引入一类混合指数分布并证明此类分布服从Pareto重尾分布,得到相应的LST变换闭合形式及服务时间渐进级数,同时将形状参数γ=3/2时的服务时间及其LST变换推广到更一般的情形,较为有效地解决了重尾分布的信源排队等待时间分析问题。

It was the first time the sequence stratigraphy study had been done all across Naimanqi Depression. Jiufotang Formation of Naimanqi Depression was divided into two third-class sequences (SQ1 and SQ2) and five system tracts (SQ1 has LST, TST and HST; SQ2 has TST and HST), and in High System Tract of SQ2, two fourth-class sequences were defined (Ssq1 and Ssq2).2. According to the analysis of core and logging data, we considered that it is the delta fan facies and established the electrofacies model.3. The distribution of reservoir sand bodies had been predicted in the areas without well data by combining the methods of sequence stratigraphy and reservoir inversion. In addition, we summarized the method and process of combining geology and geophysics to predict reservoirs and we made a good prediction by applying it.4. Combining with sequence and depositional types, sandstone thicknesses and reservoir properties, based on Petrel Software platform, we used fuzzy mathematics to comprehensively evaluate reservoirs and define favorable areas. We classified the reservoirs in Naimanqi Depression into five types (TypeⅠ, TypeⅡ, TypeⅢ, TypeⅣand TypeⅤ) and pointed out four favorable areas: Block Nai 1, Block of western Naican 1-Zhangjia Depression, Block Nai 6 and Block of Xinfa-Zhangjia Depression.

其主要创新点如下:1、首次在整个奈曼旗凹陷范围内进行了层序地层学的研究,将奈曼旗凹陷九佛堂组地层分为2个三级层序(SQ1和SQ2)和5个体系域(SQ1由LST、TST和HST组成,SQ2由TST和HST组成),并在SQ2的高位体系域中又识别出两个四级层序(Ssq1和Ssq2)。2、根据岩芯分析和测井资料识别,定义了研究区扇三角洲沉积相类型,并建立了测井相模板。3、通过层序地层学的研究,结合储层反演,对奈曼旗凹陷层序格架内没有井的区域进行了储层砂体的空间展布预测,并总结了地质-地球物理综合储层预测的方法与思路流程,在应用中取得了良好的预测效果。4、结合层序、沉积类型、砂岩厚度和储层物性等方面,以Petrel软件为基础平台,利用模糊数学的方法进行储层综合评价及有利区划分,将奈曼旗凹陷储层划分为五个级别(Ⅰ类、Ⅱ类、Ⅲ类、Ⅳ类和Ⅴ类),并预测了四个有利区块,分别为:奈1区块、奈参1西-张家洼子区块、奈6区块和新发-张家洼子区块

It was the cargo and troop ships, supported by the LST and the myriad of specialized landing craft, that did the most carrying and unloading.

是货船和运兵船在LST和各种特制登陆艇的支持下完成绝大部分的运输和卸载任务。

In this case, lst2 and lst could be the same list.

在这种情况中, lst 和 lst2 可以是同一个 list 对象。

The gels were stained with silver, and the differential protein expressions were analyzed with Melanine 3 software. Results The protein spots of the two cell lines were 1285±51 and 1184±47 (SW480) respectively, containing 96±7 differential protein spots with 50±6 expressed or obviously increased only in LST cell line and 47±5 in SW480 cell line.

结果 LST和SW480细胞株双向电泳图谱蛋白质点数分别为1285±51和1184±47,共获得96±7的蛋白质差异点,其中50±6个点仅在LST细胞株中表达或表达明显增强,47±5个点仅在SW80细胞中表达或表达明显增强。

Based upon the MODIS LST product, a linear regression correction equation with zero intercept function is established for Landsat/TM LST results retrieved by Jimenez-Muoz et al's single-channel method and Qin et al's mono-window algorithm.

对两算法反演的Landsat/TM LST结果进行了比较,并与MODIS LST建立了线性纠正方程。

To obtain the statistical boilerplate of LST according to the asymmetry distribution of cloud, we compared the images of the averaged temperature, which were respectively imaged by using satellite remote sensing and by using the general weather data, and analyzed the frequency of real-time LST figures by employing appropriate templets.

针对云系的空间分布不均匀性,采用适当模板对LST实况图进行频谱分析,找出LST的统计样区,继而对这些区域的LST数值进行平均,得到多年LST平均图的参照标准。

Conclusions— The most powerful histological predictor of stent thrombosis was endothelial coverage. The best morphometric predictor of LST was the ratio of uncovered to total stent struts. Heterogeneity of healing is a common finding in drug-eluting stents with evidence of LST and demonstrates the importance of incomplete healing of the stented segment in the pathophysiology of LST.

支架内血栓的最强的组织学预测因子是支架的内皮覆盖程度;最佳的LST形态学预测因子为未被内皮覆盖支架丝与总的支架丝的比值;内皮修复的不均一性在置入DES后发生LST的患者中是常见的,证明了支架节段内内皮覆盖不全在LST病理生理机制中的重要性。

Conclusions— The most powerful histological predictor of stent thrombosis was endothelial coerage. The best morphometric predictor of LST was the ratio of uncoered to total stent struts. Heterogeneity of healing is a common finding in drug-eluting stents with eidence of LST and demonstrates the importance of incomplete healing of the stented segment in the pathophysiology of LST.

支架内血栓的最强的组织学预测因子是支架的内皮覆盖程度;最佳的LST形态学预测因子为未被内皮覆盖支架丝与总的支架丝的比值;内皮修复的不均一性在置入DES后发生LST的患者中是常见的,证明了支架节段内内皮覆盖不全在LST病理生理机制中的重要性。

There is an apparent correlativity between LST and NDVI from the profile line values of the two factors.

研究结果显示:LST和NDVI具有明显的相关性,LST大的区域对应NDVI一般都较小,反之亦然;中心城市LST表现出热岛效应,而NDVI则为低谷效应。

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