TY - INPR A1 - Alves, Caroline A1 - Paulo, Artur José Marques A1 - de Faria, Danilo Donizete A1 - Sato, João Ricardo A1 - Borges, Vanderci A1 - Silva, Sonia de Azevedo A1 - Ferraz, Henrique Ballalai A1 - Rodrigues, Francisco A. A1 - Thielemann, Christiane A1 - Moeckel, Michael A1 - Aguiar, Patricia de Carvalho T1 - Decoding Dystonia: unveiling neural patterns with interpretable EEG-Based Machine Learning N2 - Dystonia has a multifaceted and complex pathogenesis. Current diagnostic proce-dures, which focus primarily on clinical signs, may lack accuracy due to the variable presentationsof different dystonia types. There is a need for objective, interpretable, and non-invasive diagnostictools. This study aims to develop an interpretable electroencephalography (EEG)-basedmachine learning (ML) and deep learning (DL) approach to distinguish between focal upper limbdystonia (ULD), cervical dystonia (CD), and healthy controls (HC). EEG data were recorded during resting-state, writing-from-memory, and finger-tapping tasks. The EEG signals were segmented into windows to generate connectivity matricesusing various pairwise correlation metrics. Machine learning models were trained to classify thegroups, with performance evaluated using accuracy and area under the curve (AUC) metrics. Our approach achieved accuracy and AUC scores close to 100%. Transfer entropyemerged as the most effective connectivity metric, revealing altered brain connections in dystonia.Complex network measures outperformed traditional EEG features, highlighting the relevance offunctional connectivity. Resting-state EEG showed the highest classification performance for ULD,suggesting strong diagnostic potential. Conclusions: This study provides the first machine learning-based comparison between differenttypes of dystonia, introduces novel cervical dystonia EEG data, and yields medically interpretableinsights into altered brain connectivity. The findings enhance our understanding of dystonia and support using EEG as alow-cost, interpretable tool for diagnosing and developing brain-machine interfaces. KW - Dystonie KW - Elektroencephalographie KW - Maschinelles Lernen Y1 - 2025 U6 - https://doi.org/https://doi.org/10.21203/rs.3.rs-7483388/v1 PB - Springer Science and Business Media LLC ER - TY - INPR A1 - Schickel, Esther A1 - Bender, Tamara A1 - Kaysan, Leon A1 - Hufgard, Simone A1 - Mayer, Margot A1 - Grosshans, David R. A1 - Thielemann, Christiane A1 - Schroeder, Insa S. T1 - Human cerebral organoids model tumor infiltration and migration supported by astrocytes in an autologous setting T2 - bioRxiv N2 - SummaryEfforts to achieve precise and efficient tumor targeting of highly malignant brain tumors are constrained by the dearth of appropriate models to study the effects and potential side effects of radiation, chemotherapy, and immunotherapy on the most complex human organ, the brain. We established a cerebral organoid model of brain tumorigenesis in an autologous setting by overexpressing c-MYC as one of the most common oncogenes in brain tumors. GFP+/c-MYChighcells were isolated from tumor organoids and used in two different culture approaches: assembloids comprising of a normal cerebral organoid with a GFP+/c-MYChightumor sphere and co-culture of cerebral organoid slices at air-liquid interface with GFP+/c-MYChighcells. GFP+/c-MYChighcells used in both approaches exhibited tumor-like properties, including overexpression of the c-MYC oncogene, high proliferative and invasive potential, and an immature phenotype as evidenced by increased expression of Ki-67, VIM, and CD133. Organoids and organoid slices served as suitable scaffolds for infiltrating tumor-like cells. Using our highly reproducible and powerful model system that allows long-term culture, we demonstrated that the migratory and infiltrative potential of tumor-like cells is shaped by the environment in which glia cells provide support to tumor-like cells. KW - Hirntumor Y1 - 2025 U6 - https://doi.org/https://doi.org/10.1101/2025.01.29.635456 VL - 2025 PB - Cold Spring Harbor Laboratory ER - TY - INPR A1 - Chaar, Mohamad Mofeed A1 - Raiyn, Jamal A1 - Weidl, Galia T1 - Improving the Perception of Objects under Foggy Conditions in the Surrounding Environment N2 - Autonomous Driving (AD) technology has rapidly advanced in recent years. Some challenges remain, particularly in ensuring robust performance under adverse weather conditions, like heavy fog. To address this, we propose a multi-class fog density classification approach to enhance the performance of AD systems. By dividing the fog density into multiple classes (25\%, 50\%, 75\%, and 100\%) and generating separate data-sets for each class using the Carla simulator, we can independently improve perception for each fog density and examine the effects of fog at each level. This approach offers several advantages, including improved perception, targeted training, and enhanced generalizability. The results show improved perception of objects from the categories: cars, buses, trucks, vans, pedestrians, and traffic lights. Our multi-class fog density approach is a promising step towards achieving robust AD system performance under adverse weather conditions. KW - Autonomes Fahrzeug KW - Wetter KW - Sicht Y1 - 2024 U6 - https://doi.org/https://doi.org/10.21203/rs.3.rs-3821656/v1 PB - Research Square Platform LLC ER - TY - INPR A1 - Paschek, Klaus A1 - Roßmann, Arthur A1 - Hausmann, Michael A1 - Hildenbrand, Georg T1 - Analysis of Tidal Accelerations in the Solar System and in Extrasolar Planetary Systems N2 - Volcanism powered by tidal forces inside celestial bodies can provide enough energy to keep important solvents for living systems in the liquid phase. Moreover, tidal forces and their environmental consequences may strongly influence habitability of planets and other celestial bodies and may result in special forms of live and living conditions. A prerequisite to calculate such tidal interactions and consequences is depending on simulations for tidal accelerations in a multi-body system. Unfortunately, from measurements in many extrasolar planetary systems only few physical and orbital parameters are well enough known for investigated celestial bodies. For calculating tidal acceleration vectors under missing most orbital parameter exactly, a simulation method is developed that is only based on a few basic parameters, easily measurable even in extrasolar planetary systems. Such a method as being presented here, allows finding a relation between the tidal acceleration vectors and potential heating inside celestial objects. Using values and results of our model approach to our solar system as a “gold standard” for feasibility allowed us to classify this heating in relation to different forms of volcanism. This “gold standard” approach gave us a classification measure for the relevance of tidal heating in other extrasolar systems with a reduced availability of exact physical parameters. We would help to estimate conditions for the identification of potential candidates for further sophisticated investigations by more complex established methods like viscoelastic multi-body theories. As a first example, we applied the procedures developed here to the extrasolar planetary system TRAPPIST-1 as an example to check our working hypothesis. KW - Sonnensystem KW - Vulkanismus Y1 - 2021 U6 - https://doi.org/https://doi.org/10.20944/preprints202107.0408.v1 PB - MDPI AG ER - TY - INPR A1 - Mayer, Margot T1 - Aberrant choroid plexus formation in human cerebral organoids exposed to radiation N2 - Brain tumor patients are commonly treated with radiotherapy, but the efficacy of the treatment is limited by its toxicity, particularly the risk of radionecrosis. We used human cerebral organoids to investigate the mechanisms and nature of postirradiation brain image changes commonly linked to necrosis. Irradiation of cerebral organoids lead to increased formation of ZO1+/AQP1+/CLN3+-choroid plexus (CP) structures. Increased CP formation was triggered by radiation via the NOTCH/WNT signaling pathways and associated with delayed growth and neural stem cell differentiation, but not necrosis. The effect was more pronounced in immature than in mature organoids, reflecting the clinically-observed increased radiosensitivity of the pediatric brain. Protons were more effective than X-rays at the same dose, as also observed in clinical treatments. We conclude that radiation-induced brain image-changes can be attributed to aberrant CP formation, providing a new cellular mechanism and strategy for possible countermeasures. KW - CNS cancer KW - radio therapy KW - neuroscience KW - Hirntumor KW - Strahlentherapie KW - Neurowissenschaften Y1 - 2023 UR - https://www.researchsquare.com/article/rs-3445801/v1 U6 - https://doi.org/https://doi.org/10.21203/rs.3.rs-3445801/v1 ER - TY - INPR A1 - Schork, Sabrina A1 - Özdemir-Kaluk, Dilan A1 - Zerey, Cudi T1 - An integrative definition of digital, innovation, and sustainable: A bridge between disciplines N2 - It needs to be clarified how digital, innovation, and sustainable concepts are interdependent and what dimensions they encompass from an organizational perspective. This article aims to fill these gaps. 12,249 articles are analyzed, of which 776 are minimum C-ranked according to VHB-Jourqual, and 457 pass the quality filters. Only 48 publications deal with all three concepts, and 24 offer definitions. This results from an eight-step systematic literaturereview. Three dimensions for 'digital' (data, technologies, and networks), three dimensions for ‘sustainable’(environmental, social, and economic), and four dimensions for ‘innovation’(product, service, business model, and process) are elaborated in a framework. Based on this, an integrated definition is derivedusing a content analysis.The DIS-definition can be used for strategic decision-making processes and bridges the disciplines of technology, innovation, and sustainability management. Finally, a canvas that clarifies the concepts and their connections is proposed for interdisciplinary management discussions. KW - Digital, Innovation, Sustainability, Systematic Literature Review, Content KW - Digitalisierung KW - Innovation KW - Nachhaltigkeit KW - Konzeption Y1 - 2023 UR - https://zenodo.org/records/10143498 U6 - https://doi.org/10.5281/zenodo.10143498 ER - TY - INPR A1 - Schork, Sabrina A1 - Langemeyer, Ines A1 - Schmitt, Franz-Josef T1 - Identification of Motivated and Creative Highly Gifted People: Development of the CMAC-Test N2 - The following contribution deals with the environmental conditions of highly gifted and sensitive people (HGSP). Three researchers from different perspectives (physics, pedagogy, and innovation management) empathize with the target group and try to understand their experiences. From three interviews with adults, a first point of view is defined adopting the Grounded Theory methodology. Adult interviews are compared with the perceptions of an adolescent from today moving between state and private education systems. By comparing both perspectives, differences and similarities are worked out. The discussions are used to develop an online test focusing on creativity, motivation for achievement, and cognitive capacities, as these are core categories identified that seem to be highly important in combination. The empirical test is intended to provide the state education system with a simple and interactive solution to identify a large group of people who need further support. To achieve a high participation rate, the test will be designed for a maximum of one hour and the implementation and evaluation will be carried out digitally. The authors' vision is to create an adaptive environment that can effectively adjust to and educate diverse groups of learners without over- or under burdening teachers and learners. A key finding of our case-based research is that the existing school and higher education structures are not able to provide sufficient support and challenge for HGSP. Support measures for HGSP are needed as well as a new understanding of learning and teaching, so that new competencies can be built that consider people's self-regulation, creativity, and motivation for achievement, in addition to cognition and meta-cognition. Kuhl (2004, 18) explains why the capacities of self-regulation are paramount for highly gifted students. When they want to meet a challenge, they face problems that are more difficult and therefore need more persistence, resilience, and self� motivation. However, to support these special needs, teachers are often not ready or capable to do so, nor do these needs fit with the performance requirements of the regular curriculum. KW - Hochbegabung KW - Innovationsmanagement Y1 - 2022 UR - https://zenodo.org/record/7368147#.Y4NMyX2ZNmM ER - TY - INPR A1 - Zindler, Klaus A1 - Korn, Ulrich T1 - An H∞-based approach to complete modal synthesis ensuring robust steady state accuracy KW - Robuste Regelung Y1 - 1996 ER - TY - INPR A1 - Zindler, Klaus T1 - Entwurf einer robusten Regelung nach der µ-Synthese am Beispiel eines primärseitig verstellbaren Hydrogetriebes KW - Robuste Regelung KW - Flüssigkeitsgetriebe Y1 - 1994 ER - TY - INPR A1 - Korn, Ulrich A1 - Zindler, Klaus T1 - Vollständige Modale Synthese robuster Regelungen mittels Optimierung eines H∞-Kostenfunktionals KW - Robuste Regelung Y1 - 1995 ER -