TY - JOUR A1 - Heuermann, Holger A1 - Lünebach, M. T1 - A Novel Dual-Mode-Design for Push-Push Oscillators with Improved Phase Noise Performance. Heuermann, Holger; Lünebach, M. JF - Conference proceedings : 3 - 7 October 2005, CNIT la Défense, Paris, France; [comprises the] 35th European Microwave Conference 2005 ; The European Conference on Wireless Technology 2005 ; European Radar Conference 2005 ; GAAS 2005, The European Gallium A. Vol. 1 Y1 - 2005 SN - 2-9600551-0-1 N1 - European Microwave Conference ; (35, 2005, Paris) ; European Microwave Week ; (2005, Paris) SP - 4 pp. PB - Horizon House Publ CY - London ER - TY - JOUR A1 - Näther, Niko A1 - Emmerich, Rüdiger A1 - Berger, Jörg A1 - Friedrich, Peter A1 - Henkel, Hartmut A1 - Schneider, Andreas A1 - Schöning, Michael Josef T1 - A novel gas-phase hydrogen peroxide sensor basing on a combined physical/chemical transduction mechanism JF - Nanofunctional materials, nanostructures, and novel devices for biological and chemical detection : November 27 - December 1, 2006, Boston, Massachusetts, USA ; [at the 2006 MRS Fall Meeting]. Y1 - 2006 SN - 978-1-60423-407-7 N1 - Materials Research Society symposium proceedings ; 951 ; MRS fall meeting ; (2006.11.27-12.01 : ; Boston, Mass.) SP - 63 EP - 68 PB - Materials Research Soc. CY - Warrendale, Pa. ER - TY - JOUR A1 - Khayyam, Hamid A1 - Jamali, Ali A1 - Bab-Hadiashar, Alireza A1 - Esch, Thomas A1 - Ramakrishna, Seeram A1 - Jalili, Mahdi A1 - Naebe, Minoo T1 - A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling with Application in Industry 4.0 JF - IEEE Access N2 - To meet the challenges of manufacturing smart products, the manufacturing plants have been radically changed to become smart factories underpinned by industry 4.0 technologies. The transformation is assisted by employment of machine learning techniques that can deal with modeling both big or limited data. This manuscript reviews these concepts and present a case study that demonstrates the use of a novel intelligent hybrid algorithms for Industry 4.0 applications with limited data. In particular, an intelligent algorithm is proposed for robust data modeling of nonlinear systems based on input-output data. In our approach, a novel hybrid data-driven combining the Group-Method of Data-Handling and Singular-Value Decomposition is adapted to find an offline deterministic model combined with Pareto multi-objective optimization to overcome the overfitting issue. An Unscented-Kalman-Filter is also incorporated to update the coefficient of the deterministic model and increase its robustness against data uncertainties. The effectiveness of the proposed method is examined on a set of real industrial measurements. Y1 - 2020 U6 - http://dx.doi.org/10.1109/ACCESS.2020.2999898 SN - 2169-3536 VL - 8 IS - Art. 9108222 SP - 111381 EP - 111393 PB - IEEE CY - New York, NY ER - TY - JOUR A1 - Khayyam, Hamid A1 - Jamali, Ali A1 - Bab-Hadiashar, Alireza A1 - Esch, Thomas A1 - Ramakrishna, Seeram A1 - Jalil, Mahdi A1 - Naebe, Minoo T1 - A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modelling with Application in Industry 4.0 JF - IEEE Access N2 - To meet the challenges of manufacturing smart products, the manufacturing plants have been radically changed to become smart factories underpinned by industry 4.0 technologies. The transformation is assisted by employment of machine learning techniques that can deal with modeling both big or limited data. This manuscript reviews these concepts and present a case study that demonstrates the use of a novel intelligent hybrid algorithms for Industry 4.0 applications with limited data. In particular, an intelligent algorithm is proposed for robust data modeling of nonlinear systems based on input-output data. In our approach, a novel hybrid data-driven combining the Group-Method of Data-Handling and Singular-Value Decomposition is adapted to find an offline deterministic model combined with Pareto multi-objective optimization to overcome the overfitting issue. An Unscented-Kalman-Filter is also incorporated to update the coefficient of the deterministic model and increase its robustness against data uncertainties. The effectiveness of the proposed method is examined on a set of real industrial measurements. Y1 - 2020 SN - 2169-3536 U6 - http://dx.doi.org/10.1109/ACCESS.2020.2999898 SP - 1 EP - 12 PB - IEEE CY - New York, NY ER - TY - JOUR A1 - Uysal, Karya A1 - Firat, Ipek Serat A1 - Creutz, Till A1 - Aydin, Inci Cansu A1 - Artmann, Gerhard A1 - Teusch, Nicole A1 - Temiz Artmann, Aysegül T1 - A novel in vitro wound healing assay using free-standing, ultra-thin PDMS membranes JF - membranes N2 - Advances in polymer science have significantly increased polymer applications in life sciences. We report the use of free-standing, ultra-thin polydimethylsiloxane (PDMS) membranes, called CellDrum, as cell culture substrates for an in vitro wound model. Dermal fibroblast monolayers from 28- and 88-year-old donors were cultured on CellDrums. By using stainless steel balls, circular cell-free areas were created in the cell layer (wounding). Sinusoidal strain of 1 Hz, 5% strain, was applied to membranes for 30 min in 4 sessions. The gap circumference and closure rate of un-stretched samples (controls) and stretched samples were monitored over 4 days to investigate the effects of donor age and mechanical strain on wound closure. A significant decrease in gap circumference and an increase in gap closure rate were observed in trained samples from younger donors and control samples from older donors. In contrast, a significant decrease in gap closure rate and an increase in wound circumference were observed in the trained samples from older donors. Through these results, we propose the model of a cell monolayer on stretchable CellDrums as a practical tool for wound healing research. The combination of biomechanical cell loading in conjunction with analyses such as gene/protein expression seems promising beyond the scope published here. Y1 - 2022 U6 - http://dx.doi.org/10.3390/membranes13010022 N1 - This article belongs to the Special Issue "Latest Scientific Discoveries in Polymer Membranes" VL - 2023 IS - 13(1) PB - MDPI CY - Basel ER - TY - JOUR A1 - Hodel, U. A1 - Orzati, A. A1 - Marso, M. A1 - Homann, O. A1 - Fox, A. A1 - Hart, A. v. d. A1 - Förster, Arnold A1 - Kordos, P. A1 - Lüth, H. T1 - A novel InAlAs/InGaAs layer structure for monolithically integrated photoreceiver JF - Conference Proceedings: 2000 International Conference on Indium Phosphide and related materials Y1 - 2000 SN - 0-7803-6320-5 N1 - International Conference on Indium Phosphide and Related Materials <12, 2000, Williamsburg, Va.> SP - 466 EP - 469 PB - IEEE Service Center CY - Piscataway, NJ ER - TY - JOUR A1 - Thiel, Alexander A1 - Muffler, Kai A1 - Tippkötter, Nils A1 - Suck, Kirstin A1 - Sohling, Ulrich A1 - Hruschka, Steffen M. A1 - Ulber, Roland T1 - A novel integrated downstream processing approach to recover sinapic acid, phytic acid and proteins from rapeseed meal JF - Journal of Chemical Technology and Biotechnology N2 - BACKGROUND Currently, several techniques exist for the downstream processing of protein, phytic acid and sinapic acid from rapeseed and rapeseed meal, but no technique has been developed to separate all of the components in one process. In this work, two new downstream processing strategies focusing on recovering sinapic acid, phytic acid and protein from rapeseed meal were established. RESULTS The sinapic acid content was enhanced by a factor of 4.5 with one method and 5.1 with the other. The isolation of sinapic acid was accomplished using a zeolite-based adsorbent with high adsorptive and optimal desorption characteristics. Phytic acid was isolated using the anion-exchange resin Purolite A200®. In addition, the processes resulted in two separated protein fractions. The ratios of globulin and albumin ratio to the total protein were 59.2% and 40.1%, respectively. The steps were then combined in two different ways: (a) a ‘sequential process’ using the zeolite and A200 in batch processes; and (b) a ‘parallel process’ using only A200 in a chromatographic system to separate all of the compounds. CONCLUSIONS It can be concluded that isolation of all three components was possible in both processes. These could enhance the added value of current processes using rapeseed meal as a protein source. © 2015 Society of Chemical Industry Y1 - 2015 U6 - http://dx.doi.org/10.1002/jctb.4664 VL - 90 IS - 11 SP - 1999 EP - 2006 PB - Wiley CY - Weinheim ER - TY - CHAP A1 - Park, Jin A1 - El-Daib, Khaled A1 - Butenweg, Christoph A1 - Gellert, Christoph T1 - A novel macroelement approach for masonry walls T2 - Proceedings of the 8th International Conference on Structural Dynamics, EURODYN 2011 : Leuven, Belgium, 4 - 6 July 2011 / Katholieke Universiteit Leuven, ... G. De Roeck ... (eds) Y1 - 2011 SN - 978-90-76019-31-4 SP - 3281 EP - 3286 PB - K. U. Leuven, Dep. of Civil Engineering CY - Leuven ER - TY - JOUR A1 - Artmann, Gerhard A1 - Trzewik, Jürgen A1 - Ates, M. T1 - A novel method to quantify mechanical tension in cell monolayers. Trzewik, Jürgen; Ates, M., Artmann, Gerhard Michael JF - Biomedizinische Technik. 47 (2002), H. Suppl. 1. Pt. 1 Y1 - 2002 SN - 0013-5585 N1 - Druckausgabe unter 63 Z 47 vorhanden SP - 379 EP - 381 ER - TY - JOUR A1 - Yang, Peng-Fei A1 - Kriechbaumer, Andreas A1 - Albracht, Kirsten A1 - Sanno, Maximilian A1 - Ganse, Bergita A1 - Koy, Timmo A1 - Shang, Peng A1 - brüggemann, Gert-Peter A1 - Müller, Lars Peter A1 - Rittweger, Jörn T1 - A novel optical approach for assessing in vivo bone segment deformation and its application in muscle-bone relationship studies in humans JF - Journal of Orthopaedic Translation Y1 - 2014 U6 - http://dx.doi.org/10.1016/j.jot.2014.07.078 SN - 2214-0328 SN - 2214-031X VL - 2 IS - 4 SP - 238 EP - 238 PB - Elsevier CY - Singapore ER -