An analysis of the modified exclusion method in certain problems

Our study elucidates the effect of folate polyamide amine dendrimer nanoparticles targeting delivery of miRNA-200c inhibitor and CDDP on lung cancer cells proliferation. We established polyamide amine dendrimer nanoparticles binding with CDDP and miRNA-200c inhibitor (Den-PEI-CDDP-siRNA-FA), TEM was employed to detect the morphology of nanoparticles. Agarose gel assay was selected for stabilization test. Cell proliferation were detected by trypanosoma blue exclusion method. The expression of miRNA-200c targeted APKPA12 and apoptosis-related proteins were detected by Western blot and PCR. Finally, apoptosis was analyzed by flow cytometry. Den-PEI-CDDP-siRNA-FA nanoparticles showed excellent stability and drug encapsulation ability. Nanoparticles targeting for FRA to co-deliver siRNA and CDDP could significantly promote cell apoptosis, increase apoptosis-related protein expression, and inhibit cell proliferation. Besides, nanoparticles exerted less venomous effect than untargeted nanoparticles in MRC9 lung fibroblast. Den nanoparticle targeting FRA might be used as the carrier for joint applications with siRNA and CDDP for treating lung cancer.

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R-R Interval Outlier Exclusion Method Based on Statistical ECG Values Targeting HRV Analysis Using Wearable ECG Devices

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8513452 ◽

2018 ◽

Author(s):

Kana Eguchi ◽

Ryosuke Aoki ◽

Kazuhiro Yoshida ◽

Tomohiro Yamada

Keyword(s):

Hrv Analysis ◽

Exclusion Method

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Derivation of standard distribution ranges for common laboratory tests specific for hemodialysis patients by the latent abnormal value exclusion method

Nihon Toseki Igakkai Zasshi ◽

10.4009/jsdt.40.261 ◽

2007 ◽

Vol 40 (3) ◽

pp. 261-269

Author(s):

Sumiko Igarashi ◽

Kiyoshi Ichihara ◽

Masatoshi Takiya ◽

Mitsuru Kurata ◽

Takayasu Taira ◽

...

Keyword(s):

Laboratory Tests ◽

Hemodialysis Patients ◽

Distribution Ranges ◽

Standard Distribution ◽

Exclusion Method ◽

Common Laboratory

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A Comparative Study of Different Approaches for Finding the Upper Boundary Points in Stochastic-Flow Networks

International Journal of Enterprise Information Systems ◽

10.4018/ijeis.2014070102 ◽

2014 ◽

Vol 10 (3) ◽

pp. 13-23 ◽

Cited By ~ 1

Author(s):

Seyed Mehdi Mansourzadeh ◽

Seyed Hadi Nasseri ◽

Majid Forghani-elahabad ◽

Ali Ebrahimnejad

Keyword(s):

Information System ◽

Comparative Study ◽

Test Problems ◽

Stochastic Flow ◽

Flow Networks ◽

Flow Network ◽

Random Test ◽

Boundary Points ◽

Exclusion Method ◽

Upper Boundary

An information system network (ISN) can be modeled as a stochastic-flow network (SFN). There are several algorithms to evaluate reliability of an SFN in terms of Minimal Cuts (MCs). The existing algorithms commonly first find all the upper boundary points (called d-MCs) in an SFN, and then determine the reliability of the network using some approaches such as inclusion-exclusion method, sum of disjoint products, etc. However, most of the algorithms have been compared via complexity results or through one or two benchmark networks. Thus, comparing those algorithms through random test problems can be desired. Here, the authors first state a simple improved algorithm. Then, by generating a number of random test problems and implementing the algorithms in MATLAB, the proposed algorithm is demonstrated to be more efficient than some existing ones in medium-sized networks. The performance profile introduced by Dolan and More is used for analyzing the output of programs.

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