@article{DigelTemizArtmannNishikawaetal.2005, author = {Digel, Ilya and Temiz Artmann, Ayseg{\"u}l and Nishikawa, K. and Cook, M.}, title = {Bactericidal effects of plasma-generated cluster ions}, series = {Medical and Biological Engineering and Computing. 43 (2005), H. 6}, journal = {Medical and Biological Engineering and Computing. 43 (2005), H. 6}, isbn = {1741-0444}, pages = {800 -- 807}, year = {2005}, language = {en} } @article{TrzewikTemizArtmannLinderetal.2004, author = {Trzewik, J{\"u}rgen and Temiz Artmann, Ayseg{\"u}l and Linder, Peter and Demirci, T. and Digel, Ilya and Artmann, Gerhard}, title = {Evaluation of lateral mechanical tension in thin-film tissue constructs}, series = {Annals of Biomedical Engineering. 32 (2004), H. 9}, journal = {Annals of Biomedical Engineering. 32 (2004), H. 9}, isbn = {1573-9686}, pages = {1243 -- 1251}, year = {2004}, language = {en} } @article{DigelTrzewikDemircietal.2004, author = {Digel, Ilya and Trzewik, J{\"u}rgen and Demirci, Taylan and Temiz Artmann, Ayseg{\"u}l}, title = {Response of fibroblasts to cyclic mechanical stress : a proteome approach / Digel, I. ; Trzewik, J. ; Demirci, T. ; Temiz Artmann, A. ; Artmann, G. M.}, series = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, journal = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, isbn = {0932-4666}, pages = {1042 -- 1043}, year = {2004}, language = {en} } @article{DigelDemirciTemizArtmannetal.2004, author = {Digel, Ilya and Demirci, Taylan and Temiz Artmann, Ayseg{\"u}l and Nishikawa, K.}, title = {Free Radical Nature of the Bactericidal Effect of Plasma-Generated Cluster Ions (PCIs)}, series = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, journal = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, isbn = {0932-4666}, pages = {982 -- 983}, year = {2004}, language = {en} } @article{DigelTemizArtmannNishikawaetal.2004, author = {Digel, Ilya and Temiz Artmann, Ayseg{\"u}l and Nishikawa, K. and Artmann, Gerhard}, title = {Cluster air-ion effects on bacteria and moulds}, series = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, journal = {Biomedizinische Technik. 49 (2004), H. Erg.-Bd. 2}, isbn = {0932-4666}, pages = {1040 -- 1041}, year = {2004}, language = {en} } @article{KurulganDemirciLinderDemircietal.2009, author = {Kurulgan Demirci, Eylem and Linder, Peter and Demirci, Taylan and Trzewik, J{\"u}rgen and Digel, Ilya and Artmann, Gerhard and Temiz Artmann, Ayseg{\"u}l}, title = {Contractile tension of endothelial cells: An LPS based in-vitro sepsis model}, series = {IUBMB Life. 61 (2009), H. 3}, journal = {IUBMB Life. 61 (2009), H. 3}, publisher = {Wiley}, address = {Weinheim}, isbn = {1521-6543}, pages = {307 -- 308}, year = {2009}, language = {en} } @article{BassamDigelHescheleretal.2013, author = {Bassam, Rasha and Digel, Ilya and Hescheler, J{\"u}rgen and Temiz Artmann, Ayseg{\"u}l and Artmann, Gerhard}, title = {Effects of spermine NONOate and ATP on protein aggregation: light scattering evidences}, series = {BMC Biophysics}, journal = {BMC Biophysics}, publisher = {BioMed Central}, address = {London}, isbn = {2046-1682}, url = {http://nbn-resolving.de/10.1186/2046-1682-6-1}, pages = {1 -- 14}, year = {2013}, language = {en} } @inproceedings{FrotscherGossmannTemizArtmannetal.2013, author = {Frotscher, Ralf and Goßmann, Matthias and Temiz Artmann, Ayseg{\"u}l and Staat, Manfred}, title = {Simulation of cardiac cell-seeded membranes using the edge-based smoothed FEM}, series = {1st International Conference "Shell and Membrane Theories in Mechanics and Biology: From Macro- to Nanoscale Structures", Minsk, Belarus, Sept. 16-20, 2013}, booktitle = {1st International Conference "Shell and Membrane Theories in Mechanics and Biology: From Macro- to Nanoscale Structures", Minsk, Belarus, Sept. 16-20, 2013}, publisher = {Verl. d. Weißruss. Staatl. Univ.}, address = {Minsk}, organization = {International Conference Shell and Membrane Theories in Mechanics and Biology: From Macro- to Nanoscale Structures <1, 2013, Minsk>}, isbn = {978-985-553-135-8}, pages = {165 -- 167}, year = {2013}, language = {en} } @article{MiciliValterOflazetal.2013, author = {Micili, Serap C. and Valter, Markus and Oflaz, Hakan and Ozogul, Candan and Linder, Peter and F{\"o}ckler, Nicole and Artmann, Gerhard and Digel, Ilya and Temiz Artmann, Ayseg{\"u}l}, title = {Optical coherence tomography : a potential tool to predict premature rupture of fetal membranes}, series = {Proceedings of the Institution of Mechanical Engineers. Part H : Journal of engineering in medicine}, volume = {Vol. 227}, journal = {Proceedings of the Institution of Mechanical Engineers. Part H : Journal of engineering in medicine}, number = {No. 4}, publisher = {Sage}, address = {London}, issn = {0046-2039 (Print) ; 2041-3033 (E-Journal)}, pages = {393 -- 401}, year = {2013}, language = {en} } @article{ArinkinDigelPorstetal.2014, author = {Arinkin, Vladimir and Digel, Ilya and Porst, Dariusz and Temiz Artmann, Ayseg{\"u}l and Artmann, Gerhard}, title = {Phenotyping date palm varieties via leaflet cross-sectional imaging and artificial neural network application}, series = {BMC bioinformatics}, volume = {15}, journal = {BMC bioinformatics}, number = {55}, issn = {1471-2105}, doi = {10.1186/1471-2105-15-55}, pages = {1 -- 8}, year = {2014}, abstract = {Background True date palms (Phoenix dactylifera L.) are impressive trees and have served as an indispensable source of food for mankind in tropical and subtropical countries for centuries. The aim of this study is to differentiate date palm tree varieties by analysing leaflet cross sections with technical/optical methods and artificial neural networks (ANN). Results Fluorescence microscopy images of leaflet cross sections have been taken from a set of five date palm tree cultivars (Hewlat al Jouf, Khlas, Nabot Soltan, Shishi, Um Raheem). After features extraction from images, the obtained data have been fed in a multilayer perceptron ANN with backpropagation learning algorithm. Conclusions Overall, an accurate result in prediction and differentiation of date palm tree cultivars was achieved with average prediction in tenfold cross-validation is 89.1\% and reached 100\% in one of the best ANN.}, language = {en} }