Technical Universityat Munich

München, Germany

Technical Universityat Munich

München, Germany
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Benedetti E.,National Institute of Nuclear Physics, Italy | Benedetti E.,Technical Universityat Munich | Budinich M.,National Institute of Nuclear Physics, Italy
Neural Computation | Year: 2012

We propose a new self-organizing algorithm for a feedforward network inspired to an electrostatic problem that turns out to have intimate relations with information maximization. © 2012 Massachusetts Institute of Technology.

Liebl F.,Technical Universityat Munich | Demir I.E.,Technical Universityat Munich | Mayer K.,Technical Universityat Munich | Schuster T.,TU Munich | And 11 more authors.
Annals of Surgery | Year: 2014

Objectives: Because neural invasion (NI) is still inconsistently reported and not well characterized within gastrointestinal malignancies (GIMs), our aim was to determine the exact prevalence and severity of NI and to elucidate the true impact of NI on patient's prognosis. Background: The union internationale contre le cancer (UICC) recently added NI as a novel parameter in the current TNM classification. However, there are only a few existing studies with specific focus on NI, so that the distinct role of NI in GIMs is still uncertain. Materials and Methods: NI was characterized in approximately 16,000 hematoxylin and eosin tissue sections from 2050 patients with adenocarcinoma of the esophagogastric junction (AEG)-I-III, squamous cell carcinoma (SCC) of the esophagus, gastric cancer (GC), colon cancer (CC), rectal cancer (RC), cholangiocellular cancer (CCC), hepatocellular cancer (HCC), and pancreatic cancer (PC). NI prevalence and severity was determined and related to patient's prognosis and survival. Results: NI prevalence largely varied between HCC/6%, CC/28%, RC/34%, AEG-I/36% and AEG-II/36%, SCC/37%, GC/38%, CCC/58%, and AEGIII/ 65% to PC/100%. NI severity score was uppermost in PC (24.9 ± 1.9) and lowest in AEG-I (0.8 ± 0.3). Multivariable analyses including age, sex, TNM stage, and grading revealed that the prevalence of NI was significantly associated with diminished survival in AEG-II/III, GC, and RC. However, increasing NI severity impaired survival in AEG-II/III and PC only. Conclusions: NI prevalence and NI severity strongly vary within GIMs. Determination of NI severity in GIMs is amore precise tool than solely recording the presence of NI and revealed dismal prognostic impact on patients with AEG-II/III and PC. Evidently, NI is not a concomitant side feature in GIMs and, therefore, deserves special attention for improved patient stratification and individualized therapy after surgery. Copyright © 2014 by Lippincott Williams & Wilkins.

Fuchert G.,Max Planck Institute for Plasma Physics (Garching) | Carralero D.,Max Planck Institute for Plasma Physics (Garching) | Manz P.,Max Planck Institute for Plasma Physics (Garching) | Manz P.,Technical Universityat Munich | And 3 more authors.
Plasma Physics and Controlled Fusion | Year: 2016

To estimate the particle and energy flux to the plasma facing components of a future fusion power plant, the transport carried by filaments of increased pressure, called blobs, is of critical importance. To understand this transport the rate of the filaments has to be known. The novel approach presented here allows the prediction of both the blob generation and detection rates based on background plasma parameters only. The prediction is in a good overall agreement with recent experiments in ASDEX Upgrade. © 2016 IOP Publishing Ltd.

Vaddepalli P.,Technical Universityat Munich | Herrmann A.,Technical Universityat Munich | Herrmann A.,University of Zürich | Fulton L.,Technical Universityat Munich | And 9 more authors.
Development (Cambridge) | Year: 2014

Tissuemorphogenesis inplants requires communicationbetween cells, a process involving the trafficking ofmolecules through plasmodesmata (PD). PD conductivity is regulated by endogenous and exogenous signals. However, the underlying signaling mechanisms remain enigmatic. In Arabidopsis, signal transduction mediated by the receptor-like kinase STRUBBELIG (SUB) contributes to inter-cell layer signaling during tissue morphogenesis. Previous analysis has revealed that SUB acts non-cell-autonomously suggesting that SUB controls tissue morphogenesis by participating in the formation or propagation of a downstream mobile signal. A genetic screen identified QUIRKY(QKY),encoding apredictedmembrane-anchoredC2-domain protein, as a component of SUB signaling. Here, we provide further insight into the role ofQKY in this process.We show that like SUB,QKY exhibits non-cell-autonomywhen expressed in atissue-specificmanner andthat non-autonomyofQKYextends across several cells. In addition, we report on localizationstudies indicating thatQKYandSUBlocalize to PDbut independently of each other. FRET-FLIManalysis suggests that SUB and QKY are in close contact at PD in vivo. We propose a model where SUB and QKY interact at PD to promote tissue morphogenesis, thereby linking RLK-dependent signal transduction and intercellular communication mediated by PD. © 2014 Company of Biologists Ltd. All rights reserved.

Koropouli V.,Technical Universityat Munich | Gusrialdi A.,University of Central Florida | Lee D.,Technical Universityat Munich
2015 European Control Conference, ECC 2015 | Year: 2015

In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place of interaction may introduce nonlinearities in the system dynamics, which have to be taken into account for proper system control. We currently propose an Extremum Seeking (ES) Model Reference Adaptive Control (MRAC) approach for state tracking of multiple-input multiple-output systems which enclose nonlinearities in their dynamics and involve parametric uncertainty by employing Adaptive Dynamic Inversion (ADI). According to ADI, system nonlinearities are assumed known and are taken into account in the design of the system control law. The proposed scheme is based on MRAC and ADI while the unknown controller parameters are adapted by ES control. The system is shown to achieve global and asymptotic reference state tracking under the proposed control law by performing Lyapunov and averaging analysis. The approach is evaluated in simulation and in an experimental robot task. © 2015 EUCA.

Tong X.,Tongji University | Xu Y.,Tongji University | Xu Y.,Technical Universityat Munich | Ye Z.,Tongji University | And 6 more authors.
IEEE Geoscience and Remote Sensing Letters | Year: 2015

In this letter, an improved phase correlation (PC) method based on 2-D plane fitting and the maximum kernel density estimator (MKDE) is proposed, which combines the idea of Stone's method and robust estimator MKDE. The proposed PC method first utilizes a vector filter to minimize the noise errors of the phase angle matrix and then unwraps the filtered phase angle matrix by the use of the minimum cost network flow unwrapping algorithm. Afterward, the unwrapped phase angle matrix is robustly fitted via MKDE, and the slope coefficients of the 2-D plane indicate the subpixel shifts between images. The experiments revealed that the improved method can effectively avoid the impact of outliers on the phase angle matrix during the plane fitting and is robust to aliasing and noise. The matching accuracy can reach 1/50th of a pixel using simulated data. The real image sequence tracking experiment was also undertaken to demonstrate the effectiveness of the proposed PC method with a registration accuracy of root-mean-square error better than 0.1 pixels. © 2004-2012 IEEE.

Klatzky R.L.,University of Pittsburgh | Pawluk D.,Virginia Commonwealth University | Peer A.,Technical Universityat Munich
Proceedings of the IEEE | Year: 2013

Perceiving the material properties of objects through touch is generally superior to the perception of shape. We review major material properties accessible through haptic interaction, along with theoretical accounts of the underlying perceptual processes. These include roughness, friction, compliance, and thermal properties. Subsequently, we describe algorithms that have been used to render these same material properties on haptic devices. We then point to applications that have capitalized on the accessibility of material through touch, including tactile displays, simulation of mechanical mechanisms in the automobile, and medical training simulators. © 1963-2012 IEEE.

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