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Jurmeister, Philipp,Bockmayr, Michael,Seegerer, Philipp,Bockmayr, Teresa,Treue, Denise,Montavon, Gré,goire,Vollbrecht, Claudia,Arnold, Alexander,Teichmann, Daniel,Bressem, Keno,Schu¨ller, Ulrich American Association for the Advancement of Scienc 2019 Science translational medicine Vol.11 No.509
<P>Head and neck squamous cell carcinoma (HNSC) patients are at risk of suffering from both pulmonary metastases or a second squamous cell carcinoma of the lung (LUSC). Differentiating pulmonary metastases from primary lung cancers is of high clinical importance, but not possible in most cases with current diagnostics. To address this, we performed DNA methylation profiling of primary tumors and trained three different machine learning methods to distinguish metastatic HNSC from primary LUSC. We developed an artificial neural network that correctly classified 96.4% of the cases in a validation cohort of 279 patients with HNSC and LUSC as well as normal lung controls, outperforming support vector machines (95.7%) and random forests (87.8%). Prediction accuracies of more than 99% were achieved for 92.1% (neural network), 90% (support vector machine), and 43% (random forest) of these cases by applying thresholds to the resulting probability scores and excluding samples with low confidence. As independent clinical validation of the approach, we analyzed a series of 51 patients with a history of HNSC and a second lung tumor, demonstrating the correct classifications based on clinicopathological properties. In summary, our approach may facilitate the reliable diagnostic differentiation of pulmonary metastases of HNSC from primary LUSC to guide therapeutic decisions.</P>
On radial Fourier multipliers and almost everywhere convergence
Lee, Sanghyuk,Seeger, Andreas Oxford University Press 2015 Journal of the London Mathematical Society Vol.91 No.1
<P>We study almost everywhere ( a.e.) convergence on [Formula] and Lorentz spaces [Formula], for variants of Riesz means at the critical index [Formula] for [Formula]. For the classical Riesz means [Formula], we show a.e. convergence for [Formula]. We derive more general results for radial and quasi-radial Fourier multipliers and associated maximal functions, acting on [Formula] spaces with power weights and their interpolation spaces. We also include a characterization of boundedness of such multiplier transformations on weighted [Formula] spaces, and a sharp endpoint bound for Stein's square function associated with the Riesz means.</P>
Novel SiOx-coated carbon nanotubes
M.Ruhle,T.Seeger,Ph.Redlich,N.Grobertb,M.Terrones,D.R.M.Walton,H.W.Kroto 한양대학교 세라믹연구소 2002 Journal of Ceramic Processing Research Vol.3 No.1
A room temperature colloidal method for coating carbon nanotubes with silicon oxide is described. Morphology, chemical composition and SiOx/C interfaces of the coatings were investigated using state-of-the-art transmission electron microscopy and high spatially resolved electron energy-loss spectroscopy. The amorphous SiOx coatings exhibit a thickness of up to 10 nm. In addition, coatings were also created by a high temperature route. However, they tend to be more unstable and spallate when compared to coatings deposited at room temperature.
Processing, characterisation and theory of carbon nanotubes containing SiOx- based nanocomposites
N.Grobert,T.Seeger,G.Seifertc,M.Ruhle 한양대학교 세라믹연구소 2003 Journal of Ceramic Processing Research Vol.4 No.1
Nanotechnology has become a very popular field for endeavour, embracing biology, chemistry, materials science, engineering, and physics. The interdisciplinary nature of the subject has fostered strong links, opening up new avenues of basic and applied research. Carbon nanotubes (CNTs) have assumed an important role in this context, because of their fascinating chemical and physical properties; thus exhibiting considerable potential for e.g. reinforced composites, nanoelectromechanical systems, and numerous other applications. Here we describe a novel route to nanocomposites consisting of multi-walled carbon nanotubes (MWNTs) embedded in amorphous SiO2. State-of-the-art transmission electron microscopy (HRTEM), electron energy loss spectroscopy (HREELS) and thermal gravimetric analysis (TGA) were used to characterise the material. Based on our observations, we propose theoretical models accounting for stable SiOx/tube interfaces using density functional based tight binding (DFTB).