TY - JOUR A1 - Schäfer, Horst A1 - Heil, Günter T1 - Modeling and Graphic Presentation of Acid–Base Titration Curves. Presentation of an Alternative Method JF - The Chemical Educator. 7 (2002), H. 6 Y1 - 2002 SN - 1430-4171 SP - 339 EP - 346 ER - TY - JOUR A1 - Schäfer, Horst A1 - Gerschütz, J. A1 - Scholl, S. A1 - Fischer, A. (u.a.) T1 - Quanten-Hall-Effekt in CdTe/Cd1-X MgX Te Heterostrukturen Y1 - 1995 N1 - Als Poster vorgelegt auf der Frühjahrstagung der DPG in Berlin, 20.-24. März 1995, Verhandl. DPG (VI) 30, HL 33.52 / Physikalisches Institut der Universität Würzburg. ER - TY - JOUR A1 - Schäfer, Horst A1 - Böttcher, A. T1 - Mapping of magnetic domain structures inside of ferromagnetic materials by X-ray topography JF - Physica Status Solidi (A). 113 (1989) Y1 - 1989 SN - 0031-8965 SP - 551 ER - TY - JOUR A1 - Schäfer, Horst A1 - Boege, P. A1 - Shanjia, Xu A1 - Xinzhang, Wu (u.a.) T1 - Improved conductivity-measurement of semiconductor epitaxial layers by means of the contactless microwave method JF - Conference digest : 10 - 14 January 1994, San Diego, California / International Conference on Millimeter and Submillimeter Waves and Applications / Mohammed N. Afsar, chair/ed. Y1 - 1994 SN - 0-8194-1558-8 N1 - Serie Proceedings / SPIE, The International Society for Optical Engineering ; 2250 SP - 649 EP - 658 PB - SPIE CY - Bellingham, Wash. ER - TY - JOUR A1 - Schäfer, Horst T1 - Calculation of the surface stray field and the demagnetizing field of a g.o. 3% SiFe sheet caused by a misoriented grain JF - Physica Scripta. 39 (1989), H. 4 Y1 - 1989 SN - 0031-8949 SP - 531 EP - 534 ER - TY - JOUR A1 - Schwabedal, Justus T. C. A1 - Sippel, Daniel A1 - Brandt, Moritz D. A1 - Bialonski, Stephan T1 - Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning N2 - Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle. Y1 - 2018 U6 - http://dx.doi.org/10.48550/arXiv.1809.08443 ER - TY - JOUR A1 - Schusser, Sebastian A1 - Poghossian, Arshak A1 - Bäcker, Matthias A1 - Leinhos, Marcel A1 - Wagner, Patrick A1 - Schöning, Michael Josef T1 - Characterization of biodegradable polymers with capacitive field-effect sensors JF - Sensors and actuators B: Chemical N2 - In vitro studies of the degradation kinetic of biopolymers are essential for the design and optimization of implantable biomedical devices. In the presented work, a field-effect capacitive sensor has been applied for the real-time and in situ monitoring of degradation processes of biopolymers for the first time. The polymer-covered field-effect sensor is, in principle, capable to detect any changes in bulk, surface and interface properties of the polymer induced by degradation processes. The feasibility of this approach has been experimentally proven by using the commercially available biomedical polymer poly(D,L-lactic acid) (PDLLA) as a model system. PDLLA films of different thicknesses were deposited on the Ta₂O₅-gate surface of the field-effect structure from a polymer solution by means of spin-coating method. The polymer-modified field-effect sensors have been characterized by means of capacitance–voltage and impedance-spectroscopy method. The degradation of the PDLLA was accelerated by changing the degradation medium from neutral (pH 7.2) to alkaline (pH 9) condition, resulting in drastic changes in the capacitance and impedance spectra of the polymer-modified field-effect sensor. KW - Impedance spectroscopy KW - C–V method KW - Real-time monitoring KW - Poly(d,l-lacticacid) KW - (Bio)degradation KW - Field-effect sensor Y1 - 2012 U6 - http://dx.doi.org/10.1016/j.snb.2012.07.099 SN - 0925-4005 N1 - Part of special issue "Selected Papers from the 14th International Meeting on Chemical Sensors" VL - 187 SP - 2 EP - 7 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schusser, Sebastian A1 - Poghossian, Arshak A1 - Bäcker, Matthias A1 - Krischer, M. A1 - Leinhos, Marcel A1 - Wagner, P. A1 - Schöning, Michael Josef T1 - An application of field-effect sensors for in-situ monitoring of degradation of biopolymers JF - Sensors and actuators B: Chemical N2 - The characterization of the degradation kinetics of biodegradable polymers is mandatory with regard to their proper application. In the present work, polymer-modified electrolyte–insulator–semiconductor (PMEIS) field-effect sensors have been applied for in-situ monitoring of the pH-dependent degradation kinetics of the commercially available biopolymer poly(d,l-lactic acid) (PDLLA) in buffer solutions from pH 3 to pH 13. PDLLA films of 500 nm thickness were deposited on the surface of an Al–p-Si–SiO2–Ta2O5 structure from a polymer solution by means of spin-coating method. The PMEIS sensor is, in principle, capable to detect any changes in bulk, surface and interface properties of the polymer induced by degradation processes. A faster degradation has been observed for PDLLA films exposed to alkaline solutions (pH 9, pH 11 and pH 13). Y1 - 2015 U6 - http://dx.doi.org/10.1016/j.snb.2014.10.058 SN - 1873-3077 (E-Journal); 0925-4005 (Print) VL - 207, Part B SP - 954 EP - 959 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schusser, Sebastian A1 - Menzel, S. A1 - Bäcker, Matthias A1 - Leinhos, Marcel A1 - Poghossian, Arshak A1 - Wagner, P. A1 - Schöning, Michael Josef T1 - Degradation of thin poly(lactic acid) films: characterization by capacitance-voltage, atomic force microscopy, scanning electron microscopy and contact-angle measurements JF - Electrochimica Acta Y1 - 2013 SN - 1873-3859 (E-Journal); 0013-4686 (Print) VL - Vol. 113 SP - 779 EP - 784 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schusser, Sebastian A1 - Leinhos, Marcel A1 - Poghossian, Arshak A1 - Wagner, Patrick A1 - Schöning, Michael Josef ED - Abdelghani, Adnane ED - Schöning, Michael Josef T1 - Biopolymer-degradation monitoring by chip-­based impedance spectroscopy technique T2 - Nanoscale Science and Technology (NS&T´12) : Proceedings Book Humboldt Kolleg ; Tunisia, 17-19 March, 2012 Y1 - 2012 SP - 47 EP - 47 ER -