@misc{Staat2002, author = {Staat, Manfred}, title = {Rezension zu: K. Zimmermann, Technische Mechanik - multimedial. Fachbuch Verlag Leipzig (2000)}, series = {Technische Mechanik}, volume = {22}, journal = {Technische Mechanik}, number = {1}, issn = {0232-3869}, pages = {76 -- 77}, year = {2002}, language = {de} } @incollection{PoghossianSchusserBaeckeretal.2015, author = {Poghossian, Arshak and Schusser, Sebastian and B{\"a}cker, M. and Leinhos, Marcel and Sch{\"o}ning, Michael Josef}, title = {Real-time in-situ electrical monitoring of the degradation of biopolymers using semiconductor field-effect devices}, series = {Biodegradable biopolymers. Vol. 1}, booktitle = {Biodegradable biopolymers. Vol. 1}, publisher = {Nova Science Publ.}, address = {Hauppauge}, isbn = {978-1-63483-632-6}, pages = {135 -- 153}, year = {2015}, language = {en} } @article{MaggakisKelemenDigelArtmann2005, author = {Maggakis-Kelemen, Christina and Digel, Ilya and Artmann, Gerhard}, title = {Polystyrene sulfonate/Polyallylamine hydrochloride microcapsules as potential artificial red blood cells - improvement of capsule flexibility}, series = {Biomedizinische Technik. 50 (2005), H. Erg.-Bd. 1}, journal = {Biomedizinische Technik. 50 (2005), H. Erg.-Bd. 1}, pages = {324 -- 326}, year = {2005}, language = {en} } @article{LaackRefisch1985, author = {Laack, Walter van and Refisch, A.}, title = {Der akute und chronische Schulterschmerz / Refisch, A. ; Laack, W. van}, series = {Deutsche Zeitschrift f{\"u}r Sportmedizin. 36 (1985), H. 6}, journal = {Deutsche Zeitschrift f{\"u}r Sportmedizin. 36 (1985), H. 6}, isbn = {0371-3059}, pages = {176 -- 183}, year = {1985}, language = {de} } @article{LaackDuerselen1985, author = {Laack, Walter van and D{\"u}rselen, L.}, title = {Alternative zur dauerhaften Verankerung von Gelenkendoprothesen}, series = {Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete. 123 (1985), H. 4}, journal = {Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete. 123 (1985), H. 4}, isbn = {0044-3220}, pages = {653}, year = {1985}, language = {de} } @inproceedings{PoghossianBronderWuetal.2015, author = {Poghossian, Arshak and Bronder, Thomas and Wu, Chunsheng and Sch{\"o}ning, Michael Josef}, title = {Label-free sensing of biomolecules by their intrinsic molecular charge using field-effect devices}, series = {Semiconductor Micro- and Nanoelectonics : Proceedings of the tenth international conference, Yerevan, Armenia, September 11-13}, booktitle = {Semiconductor Micro- and Nanoelectonics : Proceedings of the tenth international conference, Yerevan, Armenia, September 11-13}, isbn = {978-5-8084-1991-9}, pages = {61 -- 63}, year = {2015}, language = {en} } @article{Laack1985, author = {Laack, Walter van}, title = {Untersuchungen {\"u}ber die Druckverteilung durch Schienbeinschoner im Fußballsport}, series = {Deutsche Zeitschrift f{\"u}r Sportmedizin. 36 (1985), H. 7}, journal = {Deutsche Zeitschrift f{\"u}r Sportmedizin. 36 (1985), H. 7}, isbn = {0371-3059}, pages = {203 -- 208}, year = {1985}, language = {de} } @inproceedings{PoghossianSchumacherKloocketal.2006, author = {Poghossian, Arshak and Schumacher, Kerstin and Kloock, Joachim P. and Rosenkranz, Christian and Schultze, Joachim W. and M{\"u}ller-Veggian, Mattea and Sch{\"o}ning, Michael Josef}, title = {Functional testing and characterisation of ISFETs on wafer level by means of a micro-droplet cell}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:a96-opus-1259}, year = {2006}, abstract = {A wafer-level functionality testing and characterisation system for ISFETs (ionsensitive field-effect transistor) is realised by means of integration of a specifically designed capillary electrochemical micro-droplet cell into a commercial wafer prober-station. The developed system allows the identification and selection of "good" ISFETs at the earliest stage and to avoid expensive bonding, encapsulation and packaging processes for nonfunctioning ISFETs and thus, to decrease costs, which are wasted for bad dies. The developed system is also feasible for wafer-level characterisation of ISFETs in terms of sensitivity, hysteresis and response time. Additionally, the system might be also utilised for wafer-level testing of further electrochemical sensors.}, subject = {Biosensor}, language = {en} } @article{GasparyanPoghossianVitusevichetal.2011, author = {Gasparyan, Ferdinand V. and Poghossian, Arshak and Vitusevich, Svetlana A. and Petrychuk, Mykhaylo V. and Sydoruk, Viktor A. and Siqueira, Jos{\´e} R. Jr. and Oliveira, Osvaldo N. Jr. and Offenh{\"a}usser, Andreas and Sch{\"o}ning, Michael Josef}, title = {Low-Frequency Noise in Field-Effect Devices Functionalized With Dendrimer/Carbon-Nanotube Multilayers}, series = {IEEE Sensors Journal. 11 (2011), H. 1}, journal = {IEEE Sensors Journal. 11 (2011), H. 1}, publisher = {IEEE}, address = {New York}, isbn = {1530-437X}, pages = {142 -- 149}, year = {2011}, language = {en} } @article{GriegerSchwabedalWendeletal.2021, author = {Grieger, Niklas and Schwabedal, Justus T. C. and Wendel, Stefanie and Ritze, Yvonne and Bialonski, Stephan}, title = {Automated scoring of pre-REM sleep in mice with deep learning}, series = {Scientific Reports}, volume = {11}, journal = {Scientific Reports}, number = {Art. 12245}, publisher = {Springer Nature}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-021-91286-0}, year = {2021}, abstract = {Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.}, language = {en} }