@article{Grotendorst1990, author = {Grotendorst, Johannes}, title = {Approximating functions by means of symbolic computation and a general extrapolation method}, series = {Computer Physics Communications. 59 (1990), H. 2}, journal = {Computer Physics Communications. 59 (1990), H. 2}, isbn = {0010-4655}, pages = {289 -- 301}, year = {1990}, language = {en} } @article{FigueroaMirandaFengShiuetal.2018, author = {Figueroa-Miranda, Gabriela and Feng, Lingyan and Shiu, Simon Chi-Chin and Dirkzwager, Roderick Marshall and Cheung, Yee-Wai and Tanner, Julian Alexander and Sch{\"o}ning, Michael Josef and Offenh{\"a}usser, Andreas and Mayer, Dirk}, title = {Aptamer-based electrochemical biosensor for highly sensitive and selective malaria detection with adjustable dynamic response range and reusability}, series = {Sensor and Actuators B: Chemical}, volume = {255}, journal = {Sensor and Actuators B: Chemical}, number = {P1}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0925-4005}, doi = {10.1016/j.snb.2017.07.117}, pages = {235 -- 243}, year = {2018}, abstract = {Malaria infection remains a significant risk for much of the population of tropical and subtropical areas, particularly in developing countries. Therefore, it is of high importance to develop sensitive, accurate and inexpensive malaria diagnosis tests. Here, we present a novel aptamer-based electrochemical biosensor (aptasensor) for malaria detection by impedance spectroscopy, through the specific recognition between a highly discriminatory DNA aptamer and its target Plasmodium falciparum lactate dehydrogenase (PfLDH). Interestingly, due to the isoelectric point (pI) of PfLDH, the aptasensor response showed an adjustable detection range based on the different protein net-charge at variable pH environments. The specific aptamer recognition allows sensitive protein detection with an expanded detection range and a low detection limit, as well as a high specificity for PfLDH compared to analogous proteins. The specific feasibility of the aptasensor is further demonstrated by detection of the target PfLDH in human serum. Furthermore, the aptasensor can be easily regenerated and thus applied for multiple usages. The robustness, sensitivity, and reusability of the presented aptasensor make it a promising candidate for point-of-care diagnostic systems.}, language = {en} } @article{HillenUnglaubenWirtz2002, author = {Hillen, Walter and Unglauben, F. and Wirtz, G.}, title = {Architectures and Modeling of Distributed Image Information Systems. Unglauben, F.; Hillen, W.; Wirtz, G.}, series = {Proceedings : July 14 - 18, 2002, Orlando, Florida, USA ; [jointly with the 8th International Conference on Information Systems Analysis and Synthesis (ISAS 2002)] / organized by IIIS, International Institute of Informatics and Systemics. Ed. by Nagib Callaos}, journal = {Proceedings : July 14 - 18, 2002, Orlando, Florida, USA ; [jointly with the 8th International Conference on Information Systems Analysis and Synthesis (ISAS 2002)] / organized by IIIS, International Institute of Informatics and Systemics. Ed. by Nagib Callaos}, publisher = {IIIS}, address = {Orlando, Fla.}, isbn = {9800781501}, year = {2002}, language = {en} } @incollection{Bialonski2016, author = {Bialonski, Stephan}, title = {Are interaction clusters in epileptic networks predictive of seizures?}, series = {Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics}, booktitle = {Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics}, publisher = {CRC Press}, isbn = {978-143983886-0}, pages = {349 -- 355}, year = {2016}, language = {en} } @article{SchoeningTurekHeidenetal.2009, author = {Sch{\"o}ning, Michael Josef and Turek, M. and Heiden, W. and Riesen, A. and Chhabda, T. A. and Schubert, J. and Kr{\"u}ger, P. and Keusgen, M.}, title = {Artificial intelligence/fuzzy logic method for analysis of combined signals from heavy metal chemical sensors}, series = {Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI}, journal = {Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI}, publisher = {Elsevier}, address = {New York}, isbn = {0013-4686}, pages = {6082 -- 6088}, year = {2009}, language = {en} } @article{HunkerGossmannRamanetal.2021, author = {Hunker, Jan L. and Gossmann, Matthias and Raman, Aravind Hariharan and Linder, Peter}, title = {Artificial neural networks in cardiac safety assessment: Classification of chemotherapeutic compound effects on hiPSC-derived cardiomyocyte contractility}, series = {Journal of Pharmacological and Toxicological Methods}, volume = {111}, journal = {Journal of Pharmacological and Toxicological Methods}, number = {Article number 107044}, publisher = {Elsevier}, address = {New York}, issn = {1056-8719}, doi = {10.1016/j.vascn.2021.107044}, year = {2021}, language = {en} } @article{Stulpe2019, author = {Stulpe, Werner}, title = {Aspects of the Quantum-Classical Connection Based on Statistical Maps}, series = {Foundations of Physics}, volume = {49}, journal = {Foundations of Physics}, number = {6}, publisher = {Springer}, address = {Berlin}, doi = {10.1007/s10701-019-00269-9}, pages = {677 -- 692}, year = {2019}, language = {en} } @phdthesis{Engelmann2019, author = {Engelmann, Ulrich M.}, title = {Assessing magnetic fluid hyperthermia : magnetic relaxation simulation, modeling of nanoparticle uptake inside pancreatic tumor cells and in vitro efficacy}, publisher = {Infinite Science Publishing}, address = {L{\"u}beck}, isbn = {978-3-945954-58-4}, year = {2019}, language = {en} } @article{AlbrachtArampatzisBaltzopoulos2008, author = {Albracht, Kirsten and Arampatzis, A. and Baltzopoulos, V.}, title = {Assessment of muscle volume and physiological cross-sectional area of the human triceps surae muscle in vivo}, series = {Journal of Biomechanics}, volume = {41}, journal = {Journal of Biomechanics}, issn = {0021-9290}, doi = {10.1016/j.jbiomech.2008.04.020}, pages = {2211 -- 2218}, year = {2008}, language = {en} } @article{SiqueiraBaeckerPoghossianetal.2010, author = {Siqueira, Jos{\´e} R. Jr. and B{\"a}cker, Matthias and Poghossian, Arshak and Zucolotto, Valtencir and Oliveira, Osvaldo N. Jr. and Sch{\"o}ning, Michael Josef}, title = {Associating biosensing properties with the morphological structure of multilayers containing carbon nanotubes on field-effect devices}, series = {Physica status solidi (a). 207 (2010), H. 4}, journal = {Physica status solidi (a). 207 (2010), H. 4}, isbn = {1862-6300}, pages = {781 -- 786}, year = {2010}, language = {en} } @article{BialonskiLehnertz2013, author = {Bialonski, Stephan and Lehnertz, Klaus}, title = {Assortative mixing in functional brain networks during epileptic seizures}, series = {Chaos: An Interdisciplinary Journal of Nonlinear Science}, volume = {23}, journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science}, number = {3}, doi = {10.1063/1.4821915}, pages = {033139}, year = {2013}, language = {en} } @article{Dikta1995, author = {Dikta, Gerhard}, title = {Asymptotic Normality Under the Koziol-Green Model}, series = {Communications in Statistics: Theory and Methods. 24 (1995), H. 6}, journal = {Communications in Statistics: Theory and Methods. 24 (1995), H. 6}, isbn = {0361-0926}, pages = {1537 -- 1549}, year = {1995}, language = {en} } @article{DiktaKuehlheimMendoncaetal.2015, author = {Dikta, Gerhard and K{\"u}hlheim, Ren{\´e} and Mendonca, Jorge and Una-Alcarez, Jacobo de}, title = {Asymptotic representation of presmoothed Kaplan-Meier integrals with covariates in a semiparametric censorship model}, series = {Journal of Statistical Planning and Inference}, volume = {Vol. 171}, journal = {Journal of Statistical Planning and Inference}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0378-3758}, doi = {10.1016/j.jspi.2015.12.001}, pages = {10 -- 37}, year = {2015}, language = {en} } @article{Dikta2014, author = {Dikta, Gerhard}, title = {Asymptotically efficient estimation under semi-parametric random censorship models}, series = {Journal of multivariate analysis}, volume = {124}, journal = {Journal of multivariate analysis}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1095-7243 (E-Journal); 0047-259X (Print)}, doi = {10.1016/j.jmva.2013.10.002}, pages = {10 -- 24}, year = {2014}, abstract = {We study the estimation of some linear functionals which are based on an unknown lifetime distribution. The observations are assumed to be generated under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. Under this setup a semi-parametric estimator of the survival function was introduced by the author. If the parametric model assumption is correct, it is known that the estimated functional which is based on this semi-parametric estimator is asymptotically at least as efficient as the corresponding one which rests on the nonparametric Kaplan-Meier estimator. In this paper we show that the estimated functional which is based on this semi-parametric estimator is asymptotically efficient with respect to the class of all regular estimators under this semi-parametric model.}, language = {en} } @article{GrotendorstScottAubertFreconetal.2004, author = {Grotendorst, Johannes and Scott, Tony C. and Aubert-Fr{\´e}con, Monique and Hadinger, Gis{\`e}le}, title = {Asymptotically exact calculation of the exchange energies of one-active-electron diatomic ions with the surface integral method / Scott, Tony C. ; Aubert-Fr{\´e}con, Monique ; Hadinger, Gis{\`e}le ; Andrae, Dirk ; Grotendorst, Johannes ; Morgan Ill, John D.}, series = {Journal of Physics B: Atomic, Molecular and Optival Physics. 37 (2004), H. 22}, journal = {Journal of Physics B: Atomic, Molecular and Optival Physics. 37 (2004), H. 22}, isbn = {0953-4075}, pages = {4451 -- 4469}, year = {2004}, language = {en} } @article{SchwabedalSippelBrandtetal.2018, author = {Schwabedal, Justus T. C. and Sippel, Daniel and Brandt, Moritz D. and Bialonski, Stephan}, title = {Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning}, doi = {10.48550/arXiv.1809.08443}, year = {2018}, abstract = {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.}, language = {en} } @inproceedings{SildatkeKarwanniKraftetal.2020, author = {Sildatke, Michael and Karwanni, Hendrik and Kraft, Bodo and Schmidts, Oliver and Z{\"u}ndorf, Albert}, title = {Automated Software Quality Monitoring in Research Collaboration Projects}, series = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, booktitle = {ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1145/3387940.3391478}, pages = {603 -- 610}, year = {2020}, abstract = {In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.}, language = {en} } @inproceedings{BlaneckBornheimGriegeretal.2022, author = {Blaneck, Patrick Gustav and Bornheim, Tobias and Grieger, Niklas and Bialonski, Stephan}, title = {Automatic readability assessment of german sentences with transformer ensembles}, series = {Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text}, booktitle = {Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text}, publisher = {Association for Computational Linguistics}, address = {Potsdam}, doi = {10.48550/arXiv.2209.04299}, pages = {57 -- 62}, year = {2022}, abstract = {Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language (such as GBERT and GPT-2-Wechsel) have become available, allowing to develop Deep Learning based approaches that promise to further improve automatic readability assessment. In this contribution, we studied the ability of ensembles of fine-tuned GBERT and GPT-2-Wechsel models to reliably predict the readability of German sentences. We combined these models with linguistic features and investigated the dependence of prediction performance on ensemble size and composition. Mixed ensembles of GBERT and GPT-2-Wechsel performed better than ensembles of the same size consisting of only GBERT or GPT-2-Wechsel models. Our models were evaluated in the GermEval 2022 Shared Task on Text Complexity Assessment on data of German sentences. On out-of-sample data, our best ensemble achieved a root mean squared error of 0:435.}, language = {en} } @article{PogorelovaRogachevDigeletal.2020, author = {Pogorelova, Natalia and Rogachev, Evgeniy and Digel, Ilya and Chernigova, Svetlana and Nardin, Dmitry}, title = {Bacterial Cellulose Nanocomposites: Morphology and Mechanical Properties}, series = {Materials}, volume = {13}, journal = {Materials}, number = {12}, publisher = {MDPI}, address = {Basel}, isbn = {1996-1944}, doi = {10.3390/ma13122849}, pages = {1 -- 16}, year = {2020}, abstract = {Bacterial cellulose (BC) is a promising material for biomedical applications due to its unique properties such as high mechanical strength and biocompatibility. This article describes the microbiological synthesis, modification, and characterization of the obtained BC-nanocomposites originating from symbiotic consortium Medusomyces gisevii. Two BC-modifications have been obtained: BC-Ag and BC-calcium phosphate (BC-Ca3(PO4)2). Structure and physicochemical properties of the BC and its modifications were investigated by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), atomic force microscopy (AFM), and infrared Fourier spectroscopy as well as by measurements of mechanical and water holding/absorbing capacities. Topographic analysis of the surface revealed multicomponent thick fibrils (150-160 nm in diameter and about 15 µm in length) constituted by 50-60 nm nanofibrils weaved into a left-hand helix. Distinctive features of Ca-phosphate-modified BC samples were (a) the presence of 500-700 nm entanglements and (b) inclusions of Ca3(PO4)2 crystals. The samples impregnated with Ag nanoparticles exhibited numerous roundish inclusions, about 110 nm in diameter. The boundaries between the organic and inorganic phases were very distinct in both cases. The Ag-modified samples also showed a prominent waving pattern in the packing of nanofibrils. The obtained BC gel films possessed water-holding capacity of about 62.35 g/g. However, the dried (to a constant mass) BC-films later exhibited a low water absorption capacity (3.82 g/g). It was found that decellularized BC samples had 2.4 times larger Young's modulus and 2.2 times greater tensile strength as compared to dehydrated native BC films. We presume that this was caused by molecular compaction of the BC structure.}, language = {en} } @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} }