GW27-e0319 Study about myocardial contrast stress echocardiography evaluating myocardial blood flow
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A simple formula for gravitational MHV amplitudes
Abstract: A simple formula is given for the n-field tree-level MHV gravitational
amplitude, based on soft limit factors. It expresses the full S_n symmetry
naturally, as a determinant of elements of a symmetric (n \times n) matrix.
High Energy Physics - Theory (hep-th)
[hep-th] for this version)
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From: Andrew Hodges []
[v1] Mon, 9 Apr :12 GMTGW25-e2235 The applied research of Fractional flow reserve to assess Coronary intermediate lesion - ScienceDirect
Download PDFDownloadExportJavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page., 21 October 2014, Pages C123-C124Author links open overlay panelShow moreopen archiveRecommended articlesCiting articles (0)Economic-Statistical Design of VSI Run Rules Charts | Request PDF
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11.58Soongsil UniversityThis research proposes a method for designing VSI (Variable Sampling Interval) control charts with supplementary run rules. The basic idea is to apply various run rules and the VSI scheme to a control chart in order to increase the sensitivity. The sampling process of the VSI run rules chart is constructed by Markov chain approach. A procedure for designing the VSI run rules chart is proposed based on Lorenzen and Vance's model. Sensitivity study shows that the VSI run rules charts outperform the FSI (Fixed Sampling Interval) run rules charts for wide range of process mean shifts. A major advantage of the VSI run rules chart over other charts such as CUSUM, EWMA, and adaptive charts is it's simplicity in implementation. Some useful guidelines are proposed based on the sensitivity study.Do you want to read the rest of this article?Request full-text
ArticleDec 2012ArticleMar 2016ArticleApril 2009 · This paper investigates economic–statistical properties of the X? charts supplemented with m-of-m runs rules. An out-of-control condition for the chart is either a point beyond a control limit or a run of m-of-m successive points beyond a warning limit. The sampling process is modeled by a Markov chain with 2m states. The steady-state probability for each state and the average run length (ARL)... [Show full abstract]ArticleMarch 2009 · In this paper, we investigate the economic-statistical design method for the 2-of-2 runs rule and the 2-of-3 runs rule. The Markov chain approach is used to obtain the average run length and the process cycle time. In addition, a simplified algorithm is presented to search the optimal setting of the design parameters. A numerical example and sensitivity analysis are also provided to compare... [Show full abstract]ArticleJanuary 2007This paper investigates the average run length (ARL) of a selectively moving average (S-MA) control chart. The S-U chart is designed to detect shifts in the process mean. The basic idea of the S-MA chart is to accumulate previous samples selectively in order to increase the sensitivity. The ARL of the S-MA chart was shown to be monotone decreasing with respect to the decision length in a... [Show full abstract]ArticleJune 2012After a work of Derman and Ross(1997) that considered simple main runs rules and derived ARL (Average Run Length) using Markov chain modeling, \bar{X} control chart based on diverse alternative main and supplementary runs rules that is the most popular control chart for monitoring the mean of a process are proposed. This paper reviews and discusses the-state-of-art researches for these runs... [Show full abstract]}