Publikationen an der Fakultät für Informatik und Automatisierung ab 2015

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Bedini, Francesco; Maschotta, Ralph; Zimmermann, Armin;
A generative approach for creating Eclipse Sirius editors for generic systems. - In: IEEE Xplore digital library. - New York, NY : IEEE, ISSN 2473-2001, (2021), insges. 8 S.

Model-Driven Engineering (MDE) is getting more and more important for modeling, analyzing, and simulating complicated systems. It can also be used for both documenting and generating source code, which is less error-prone than a manually written one. For defining a model, it is common to have a graphical representation that can be edited through an editor. Creating such an editor for a given domain may be a difficult task for first-time users and a tedious, repetitive, and error-prone task for experienced ones. This paper introduces a new automated flow to ease the creation of ready-to-use Sirius editors based on a model, graphically defined by the domain experts, which describe their domains structure. We provide different model transformations to generate the required artifacts to obtain a fully-fledged Sirius editor based on a generated domain metamodel. The generated editor can then be distributed as an Eclipse application or as a collaborative web application. Thanks to this generative approach, it is possible to reduce the cost of refactoring the domains model in successive iterations, as only the final models need to be updated to conform to the latest format. At the same time, the editor gets generated and hence updated automatically at practically no cost.
Antosova, Andrea; Gancar, Miroslav; Bednarikova, Zuzana; Marek, Jozef; Zahn, Diana; Dutz, Silvio; Gazova, Zuana;
Surface-modified magnetite nanoparticles affect lysozyme amyloid fibrillization. - In: Biochimica et biophysica acta : BBA.. - Amsterdam [u.a.] : Elsevier, ISSN 1872-8006, Bd. 1865 (2021), 9

Background - The surface of nanoparticles (NPs) is an important factor affecting the process of poly/peptides' amyloid aggregation. We have investigated the in vitro effect of trisodium citrate (TC), gum arabic (GA) and citric acid (CA) surface-modified magnetite nanoparticles (COAT-MNPs) on hen egg-white lysozyme (HEWL) amyloid fibrillization and mature HEWL fibrils. - Methods - Dynamic light scattering (DLS) was used to characterize the physico-chemical properties of studied COAT-MNPs and determine the adsorption potential of their surface towards HEWL. The anti-amyloid properties were studied using thioflavin T (ThT) and tryptophan (Trp) intrinsic fluorescence assays, and atomic force microscopy (AFM). The morphology of amyloid aggregates was analyzed using Gwyddion software. The cytotoxicity of COAT-MNPs was determined utilizing Trypan blue (TB) assay. - Results - Agents used for surface modification affect the COAT-MNPs physico-chemical properties and modulate their anti-amyloid potential. The results from ThT and intrinsic fluorescence showed that the inhibitory activities result from the more favorable interactions of COAT-MNPs with early pre-amyloid species, presumably reducing nuclei and oligomers formation necessary for amyloid fibrillization. COAT-MNPs also possess destroying potential, which is presumably caused by the interaction with hydrophobic residues of the fibrils, resulting in the interruption of an interface between β-sheets stabilizing the amyloid fibrils. - Conclusion - COAT-MNPs were able to inhibit HEWL fibrillization and destroy mature fibrils with different efficacy depending on their properties, TC-MNPs being the most potent nanoparticles. - General significance - The study reports findings regarding the general impact of nanoparticles' surface modifications on the amyloid aggregation of proteins.
Huang, Jian; Yang, Xu; Shardt, Yuri A.W.; Yan, Xuefeng;
Sparse modeling and monitoring for industrial processes using sparse, distributed principal component analysis. - In: Journal of the Taiwan Institute of Chemical Engineers. - Amsterdam [u.a.] : Elsevier, ISSN 1876-1070, Bd. 122 (2021), S. 14-22

Driven by the strong demand for sparsity in dimensional reduction techniques, a sparse modeling and monitoring approach based on sparse, distributed principal component analysis (SDPCA) is proposed to achieve sparsity. To this end, the data set is first divided into highly correlated blocks (HCBs) and one remainder block (RB) on the basis of the mutual-information-based correlation matrix. From this, the sparse loading vectors for the HCBs are obtained using the PCA models, while for the RB, it is obtained using the sparse PCA model. It is worth noting that the sparsity in SDPCA enables the sparse loading vectors to produce interpretable principal components, which keeps the correlations between the highly correlated variables and achieves the sparsity for the weakly correlated ones. Moreover, to fully appreciate the interpretation of the sparse principal components, a fault diagnosis strategy named blockwise contribution plots is proposed by first determining the faulty block, and then, identifying the faulty variables. Compared with PCA and SPCA, the proposed SDPCA detects more faulty samples and gives more accurate diagnosis results.
Röhner, Eric; Mayfarth, Anke; Sternitzke, Christian; Layher, Frank; Scheidig, Andrea; Groß, Horst-Michael; Matziolis, Georgios; Böhle, Sabrina; Sander, Klaus;
Mobile robot-based gait training after total hip arthroplasty (THA) improves walking in biomechanical gait analysis. - In: Journal of Clinical Medicine : open access journal.. - Basel : MDPI, ISSN 2077-0383, Bd. 10 (2021), 11, S. 1-11

There are multiple attempts to decrease costs in the healthcare system while maintaining a high treatment quality. Digital therapies receive increasing attention in clinical practice, mainly relating to home-based exercises supported by mobile devices, eventually in combination with wearable sensors. The aim of this study was to determine if patients following total hip arthroplasty (THA) could benefit from gait training on crutches conducted by a mobile robot in a clinical setting. Method: This clinical trial was conducted with 30 patients following total hip arthroplasty. Fifteen patients received the conventional physiotherapy program in the clinic (including 5 min of gait training supported by a physiotherapist). The intervention group of 15 patients passed the same standard physiotherapy program, but the 5-min gait training supported by a physiotherapist was replaced by 2 × 5 min of gait training conducted by the robot. Length of stay of the patients was set to five days. Biomechanical gait parameters of the patients were assessed pre-surgery and upon patient discharge. Results: While before surgery no significant difference in gait parameters was existent, patients from the intervention group showed a significant higher absolute walking speed (0.83 vs. 0.65 m/s, p = 0.029), higher relative walking speed (0.2 vs. 0.16 m/s, p = 0.043) or shorter relative cycle time (3.35 vs. 3.68 s, p = 0.041) than the patients from the control group. Conclusion: The significant higher walking speed of patients indicates that such robot-based gait training on crutches may shorten length of stay (LOS) in acute clinics. However, the number of patients involved was rather small, thus calling for further studies.
Baumstark, Alexander; Jibril, Muhammad Attahir; Sattler, Kai-Uwe;
Adaptive query compilation in graph databases. - In: IEEE Xplore digital library. - New York, NY : IEEE, ISSN 2473-2001, (2021), S. 112-119

Compiling database queries into compact and efficient machine code has proven to be a great technique to improve query performance and to exploit characteristics of modern hardware. Furthermore, compilation frameworks like LLVM provide powerful optimization techniques and support different backends. However, the time for generating machine code becomes an issue for short-running queries or queries which could produce early results quickly. In this work, we present an adaptive approach integrating graph query interpretation and compilation. While query compilation and code generation are running in the background, the query execution starts using the interpreter. As soon as the code generation is finished, the execution switches to the compiled code. Our evaluation shows that autonomously switching execution modes helps to hide compilation times.
Stepanov, Alexey; Fedorenko, Svetlana; Mendes, Rafael Gregorio; Rümmeli, Mark; Giebeler, Lars; Weise, Bruno; Gemming, Thomas; Dutz, Silvio; Zahn, Diana; Ismaev, Ildus; Amirov, Rustem; Kholin, Kirill; Voloshina, Alexandra; Sapunova, Anastasiya; Solovieva, Svetlana; Mustafina, Asiya;
T2- and T1 relaxivities and magnetic hyperthermia of iron-oxide nanoparticles combined with paramagnetic Gd complexes. - In: Journal of chemical sciences. - Bangalore : Indian Academy of Science, ISSN 0973-7103, Bd. 133 (2021), 2, S. 1-10
- Im Titel sind "2-" und "1" tiefgestellt

The present paper reports the synthesis of iron-oxide nanoparticles (diameter 12.8±2.2 nm) coated with silica shell doped with paramagnetic Gd(III)-based complexes. The resulting nanoparticles with a silica shell thickness of about 45 nm have an average diameter of 113.1±14.3 nm and feature high transverse and longitudinal relaxivities (356 and 25 mM^-1 s^-1, respectively) at 1.5 T and 25 ˚C on a medical whole body NMR scanner. It has been also revealed using magnetic heating measurements that the prepared core-shell nanoparticles possess a high specific adsorption rate of around 236 W/g in aqueous media. The surface of the composite nanoparticles was decorated by amino-groups for a greater cellular uptake behaviour. The cell viability measurements reveal the concentration-dependent cytotoxicity of the nanoparticles, which agrees well with the high content of Gd(III) complexes in the nanomaterial. The obtained results show that the core-shell design of nanoparticles with superparamagnetic and paramagnetic parts can be promising for high transverse (and longitudinal) relaxivity as well as magnetic hyperthermia.
Friedrich, Bernhard; Auger, Jean-Philippe; Dutz, Silvio; Cicha, Iwona; Schreiber, Eveline; Band, Julia; Boccaccini, Aldo R.; Krönke, Gerhard; Alexiou, Christoph; Tietze, Rainer;
Hydroxyapatite-coated SPIONs and their influence on cytokine release. - In: International journal of molecular sciences. - Basel : Molecular Diversity Preservation International, ISSN 1422-0067, Bd. 22 (2021), 8, S. 1-19
- Richtiger Name des 7. Verfassers: Aldo R. Boccacccini

Hydroxyapatite- or calcium phosphate-coated iron oxide nanoparticles have a high potential for use in many biomedical applications. In this study, a co-precipitation method for the synthesis of hydroxyapatite-coated nanoparticles (SPIONHAp), was used. The produced nanoparticles have been characterized by dynamic light scattering, X-ray diffraction, vibrating sample magnetometry, Fourier transform infrared spectrometry, atomic emission spectroscopy, scanning electron microscopy, transmission electron microscopy, selected area diffraction, and energy-dispersive X-ray spectroscopy. The results showed a successful synthesis of 190 nm sized particles and their stable coating, resulting in SPIONHAp. Potential cytotoxic effects of SPIONHAp on EL4, THP-1, and Jurkat cells were tested, showing only a minor effect on cell viability at the highest tested concentration (400 [my]g Fe/mL). The results further showed that hydroxyapatite-coated SPIONs can induce minor TNF-α and IL-6 release by murine macrophages at a concentration of 100 [my]g Fe/mL. To investigate if and how such particles interact with other substances that modulate the immune response, SPIONHAp-treated macrophages were incubated with LPS (lipopolysaccharides) and dexamethasone. We found that cytokine release in response to these potent pro- and anti-inflammatory agents was modulated in the presence of SPIONHAp. Knowledge of this behavior is important for the management of inflammatory processes following in vivo applications of this type of SPIONs.
Prokhorova, Alexandra; Ley, Sebastian; Helbig, Marko;
Quantitative interpretation of UWB radar images for non-invasive tissue temperature estimation during hyperthermia. - In: Diagnostics : open access journal.. - Basel : MDPI, ISSN 2075-4418, Bd. 11 (2021), 5, S. 1-16

The knowledge of temperature distribution inside the tissue to be treated is essential for patient safety, workflow and clinical outcomes of thermal therapies. Microwave imaging represents a promising approach for non-invasive tissue temperature monitoring during hyperthermia treatment. In the present paper, a methodology for quantitative non-invasive tissue temperature estimation based on ultra-wideband (UWB) radar imaging in the microwave frequency range is described. The capabilities of the proposed method are demonstrated by experiments with liquid phantoms and three-dimensional (3D) Delay-and-Sum beamforming algorithms. The results of our investigation show that the methodology can be applied for detection and estimation of the temperature induced dielectric properties change.
Casas Melo, Víctor Fernando;
Implementable self-organized collision avoidance for UAVs flying alone or in flocks. - Ilmenau : Universitätsbibliothek, 2021. - 1 Online-Ressource (iii, 112 Seiten).
Technische Universität Ilmenau, Dissertation 2021

Dieses Dokument beschäftigt sich mit der selbst-organisierenden Kollisionsvermeidung von autonomen UAVs (Unmanned Aerial Vehicle), die allein oder im Schwarm fliegen. Künftige UAV-basierte Anwendungen können zur Entstehung eines Flugverkehrs führen, bei dem sich UAVs von unterschiedlichen Nutzern mit unterschiedlichen Zielen, allein oder im Schwarm, den Luftraum teilen müssen. In solch dynamischen Szenarios sind Kollisionen zwischen UAVs möglich. Um diese Situationen zu vermeiden, schlagen wir Algorithmen vor, die auf selbstorganisiertem Aufbau von Verkehrsinfrastrukturen, wie Kreisverkehr und Straßen, basieren. Dank einer selbst entworfenen experimentellen Plattform und verbesserten Simulationsumgebung haben wir Algorithmen geschafft, die unter realistische Bedingungen sichere Flugmanövern generieren. Dadurch vermeiden UAVs Kollisionen, Schwärme halten zusammen und alle UAVs kommen sicher zum Ziel. Wir präsentieren die Ergebnisse in Simulationen sowie Experimenten und analysieren die Leistung der Algorithmen und deren Begrenzungen.
Eisenbach, Markus;
Personenwiedererkennung mittels maschineller Lernverfahren. - In: Ausgezeichnete Informatikdissertationen. - Bonn : Ges. für Informatik, Bd. 2019 (2021), S. 59-68