TY - JOUR A1 - Yüksel, Benjamin A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - AI-based anomaly detection for cyberattacks on Windows systems-Creation of a prototype for automated monitoring of the process environment JF - Electronic Imaging KW - anomaly detection KW - artificial intelligence KW - Automated Windows system monitoring KW - cybersecurity KW - machine learning KW - neural networks Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-331 SN - 2470-1173 SP - 331-1 EP - 331-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Widjaja, Agnes S. N. A1 - Löwe, Katharina A1 - Costa, Felipe Salerno T1 - Design and simulation of a concentrated solar thermal system with an integrated concrete storage for continuous heat supply JF - Energy Procedia KW - Concentrated solar thermal system KW - process heat supply KW - Concrete storage KW - Economic feasibility Study Y1 - 2018 U6 - https://doi.org/10.1016/j.egypro.2018.11.062 VL - 155 SP - 121 EP - 135 ER - TY - JOUR A1 - Whiskerd, Nicholas A1 - Körtge, Nicklas A1 - Jürgens, Kris A1 - Ezennaya-Gomez, Salatiel A1 - Vielhauer, Claus A1 - Dittmann, Jana A1 - Hildebrandt, Mario T1 - Keystroke biometrics in the encrypted domain: a first study on search suggestion functions of web search engines JF - EURASIP Journal on Information Security KW - keystroke dynamics KW - biometrics KW - search engines KW - encrypted domain Y1 - 2020 U6 - https://doi.org/10.1186/s13635-020-0100-8 IS - 2020:2 PB - Springer ER - TY - JOUR A1 - Weimer, Katja A1 - Buschhart, Cliff A1 - Broelz, Ellen K. A1 - Enck, Paul A1 - Horing, Björn T1 - Bibliometric Properties of Placebo Literature From the JIPS Database: A Descriptive Study JF - Frontiers in Psychiatry Y1 - 2022 U6 - https://doi.org/10.3389/fpsyt.2022.853953 SN - 1664-0640 VL - 13 PB - Frontiers Research Foundation ER - TY - JOUR A1 - Wehland, Markus A1 - Corydon, Thomas J. A1 - González-Torres, Luis Fernando A1 - Abdelfattah, Fatima A1 - Sahana, Jayashree A1 - Schulz, Herbert A1 - Mushunuri, Ashwini A1 - Burenkova, Hanna A1 - Wuest, Simon L. A1 - Krüger, Marcus A1 - Kraus, Armin A1 - Grimm, Daniela T1 - New Knowledge About Tissue Engineering Under Microgravity Conditions in Space and on Earth JF - International Journal of Molecular Sciences N2 - Microgravity (µg)-generated three-dimensional (3D) multicellular aggregates can serve as models of tissue and disease development. They are relevant in the fields of cancer and in vitro metastasis or regenerative medicine (tissue engineering). Driven by the 3R concept—replacement, reduction, and refinement of animal testing—µg-exposure of human cells represents a new alternative method that avoids animal experiments entirely. New Approach Methodologies (NAMs) are used in biomedical research, pharmacology, toxicology, cancer research, radiotherapy, and translational regenerative medicine. Various types of human cells grow as 3D spheroids or organoids when exposed to µg-conditions provided by µg simulating instruments on Earth. Examples for such µg-simulators are the Rotating Wall Vessel, the Random Positioning Machine, and the 2D or 3D clinostat. This review summarizes the most recent literature focusing on µg-engineered tissues. We are discussing all reports examining different tumor cell types from breast, lung, thyroid, prostate, and gastrointestinal cancers. Moreover, we are focusing on µg-generated spheroids and organoids derived from healthy cells like chondrocytes, stem cells, bone cells, endothelial cells, and cardiovascular cells. The obtained data from NAMs and µg-experiments clearly imply that they can support translational medicine on Earth. Y1 - 2025 U6 - https://doi.org/10.3390/ijms27010341 VL - 27 IS - 1 PB - MDPI ER - TY - JOUR A1 - Weber, Simon B. A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Schrader, Thomas T1 - Attack Detection for Medical Cyber-Physical Systems – A Systematic Literature Review JF - IEEE Access N2 - The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk. One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS). Detecting intrusions in this environment faces challenges different from other domains, mainly due to the heterogeneity of devices, the diversity of connectivity types, and the variety of terminology. To summarize existing results, we conducted a structured literature review (SLR) following the guidelines of Kitchenham et al. for SLRs in software engineering. We developed six research questions regarding detection approach, detection location, included features, adversarial focus, utilized datasets, and intrusion prevention. We identified that most researchers focused on an anomaly-based detection approach at the network layer. The primary focus was on the detection of malicious insiders. While several researchers used publicly available datasets for training and testing their algorithms, the lack of suitable datasets resulted in the development of testbeds consisting of various medical devices. Based on the results, we formulated five future research topics. First, the special conditions of hospital networks, the MCPS deployed within them, and the contrasts to other IT and OT environments should be examined. Thereupon, MCPS-specific datasets should be created that allow researchers to address the health domain’s unique requirements and possibilities. At the same time, endeavors aimed at standardization in this area should be supported and expanded. Moreover, the use of medical context for attack detection should be further explored. Last but not least, efforts for MCPS-tailored intrusion prevention should be intensified. This way, the emerging threat landscape can be addressed, IT security in hospitals can be improved, and patient health can be protected. Y1 - 2023 U6 - https://doi.org/10.1109/ACCESS.2023.3270225 IS - 11 SP - 41796 EP - 41815 PB - IEEE ER - TY - JOUR A1 - Wang, Jing A1 - Harth, Kirsten A1 - Puzyrev, Dmitry A1 - Stannarius, Ralf T1 - The effect of obstacles near a silo outlet on the discharge of soft spheres JF - New Journal of Physics KW - fluid dynamics Y1 - 2022 U6 - https://doi.org/10.1088/1367-2630/ac8bea VL - 24 PB - IOP ER - TY - CHAP A1 - Wagner, Robin A1 - Kitzelmann, Emanuel A1 - Boersch, Ingo T1 - Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review T2 - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) N2 - Large Language Models (LLMs) demonstrate strong performance on different language tasks, but tend to hallucinate – generate plausible but factually incorrect outputs. Recently, several approaches to integrate Knowledge Graphs (KGs) into LLM inference were published to reduce hallucinations. This paper presents a systematic literature review (SLR) of such approaches. Following established SLR methodology, we identified relevant work by systematically search in different academic online libraries and applying a selection process. Nine publications were chosen for indepth analysis. Our synthesis reveals differences and similarities of how the KG is accessed, traversed, and how the context is finally assembled. KG integration can significantly improve LLM performance on benchmark datasets and additionally to mitigate hallucination enhance reasoning capabilities, explainability, and access to domain-specific knowledge. We also point out current limitations and outline directions for future work. KW - LLMs KW - hallucination KW - knowledge graphs KW - inference KW - literature review Y1 - 2025 UR - https://aclanthology.org/2025.acl-srw.53.pdf U6 - https://doi.org/10.18653/v1/2025.acl-srw.53 SP - 795 EP - 805 PB - Association for Computational Linguistics CY - Vienna ER - TY - RPRT A1 - von Fransecky, Tanja A1 - Haase, Claudia A1 - Heinrich, Marcus A1 - Jacob, Boris A1 - Musolff, Myriam A1 - Panitz, Michael A1 - Spiecker, Claus A1 - Wolff, Ian T1 - IN-FDM-BB Werkstattbericht: W 1.1.1 Konzepte für Informationsmaterialien und FDM-Webseite N2 - Forschungsdatenmanagement gewinnt immer größere Bedeutung in der Forschung. Daher arbeiten im Projekt IN-FDM-BB acht Hochschulen an der Institutionalisierung und nachhaltigen Verstetigung von Forschungsdatenmanagement (FDM) in Brandenburg. Im Rahmen des lokalen Kompetenzaufbaus und der Institutionalisierung von FDM im Projekt geht es im Arbeitspaket AP 1 u. a. um „Entwicklung von hochschulspezifischen Informationsmaterialien (z. B. Flyer, FDM-Leitfäden, FAQs)“ und „Aufbau und/oder Aktualisierung einer lokalen FDM-Webseite“. Der Werkstattbericht Konzept für Informationsmaterialien und FDM-Webseite (W 1.1.1) ist der erste Bericht, den alle acht am Projekt IN-FDM-BB beteiligen Hochschulen vorlegen und der konkret die lokale Institutionalisierung von FDM an den Einrichtungen behandelt. Y1 - 2023 U6 - https://doi.org/10.5281/ZENODO.8069814 PB - Zenodo ER - TY - CHAP A1 - Vollmer, Michael A1 - Shaw, Joseph A. T1 - Near infrared photography of atmospheric optical phenomena T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 T3 - Proceedings of SPIE - Vol. 11143 Y1 - 2019 U6 - https://doi.org/10.1117/12.2523165 SP - 111431P-1 EP - 111431P-6 CY - Quebec City, Quebec, Canada ER - TY - CHAP A1 - Vollmer, Michael A1 - Shaw, Joseph A. T1 - Extended visual range: an observation during a total solar eclipse T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 T3 - Proceedings of SPIE - 11143 Y1 - 2019 U6 - https://doi.org/10.1117/12.2523167 SP - 111431Q-1 EP - 111431Q-6 CY - Quebec City, Quebec, Canada ER - TY - JOUR A1 - Vollmer, Michael A1 - Möllmann, Klaus-Peter T1 - Unsichtbares sichtbar gemacht: Infrarotkameras für Smartphones JF - Physik in unserer Zeit KW - Infrarotkamera KW - Smartphone KW - Temperaturmessung KW - räumliche Auflösung KW - qualitative Analyse KW - quantitative Analyse Y1 - 2020 U6 - https://doi.org/https://doi.org/10.1002/piuz.201901551 VL - 51 IS - 1 SP - 29 EP - 35 PB - Wiley-VCH ER - TY - JOUR A1 - Vollmer, Michael A1 - Möllmann, Klaus-Peter T1 - Wenn Licht die Biege macht JF - Physik in unserer Zeit Y1 - 2020 U6 - https://doi.org/https://doi.org/10.1002/piuz.202001569 VL - 51 IS - 1 SP - 46 EP - 47 PB - Wiley-VCH ER - TY - JOUR A1 - Vollmer, Michael A1 - Eberhardt, Wolfgang T1 - Ein einfaches Modell für die Vorhersage von CO2 Konzentrationen in der Atmosphäre in Abhängigkeit von globalen CO2 Emissionen JF - PhyDid B, Didaktik der Physik, Beiträge zur DPG-Frühjahrstagung N2 - Es wird das vielleicht einfachst mögliche Modell vorgestellt, mit dem zeitabhängige CO2 Konzent-rationen c(t) in der Atmosphäre ausgehend von verschiedenen globalen Emissionsszenarien für CO2berechnet werden. Dazu wird eine einzelne inhomogene lineare Differenzialgleichung 1. Ordnung hergeleitet, deren Parameter sich aus den quantitativen Daten des global carbon project sowie Mauna Loa Daten für CO2 Konzentrationen errechnen. Das Modell wird erstens getestet am Zeitraum 1960 bis 2020 mit vergleichsweise guter quantitativer Übereinstimmung zu Messdaten. Zweitens wird für zwei typische IPCC Emissions-Szenarien ein Vergleich der Modellvorhersagen mit denen der kom-plexen IPCC Earth-System-Klimamodelle diskutiert mit qualitativer Übereinstimmung des zeitli-chen Verlaufs. Drittens werden Ergebnisse einiger ausgewählter neuer Emissionsszenarien präsen-tiert. Ungeachtet einiger Abweichungen zu komplexeren Klimamodellen zeichnet sich unser Mo-dell durch zwei wichtige Vorteile für die Lehre aus. Zum einen ist es sehr einfach für Studierende und begabte Schüler nutzbar, da die erforderliche Lösung der Differentialgleichung bereits mit han-delsüblicher Tabellenkalkulationssoftware wie z.B. Excel programmiert werden kann. Dadurch ge-stattet es zum anderen auch sehr einfach, den zeitlichen Verlauf von Emissionsszenarien zu verän-dern und innerhalb weniger Sekunden Veränderungen aufgrund geänderter Eingaben zu berechnen. Insofern eignet sich das Modell sehr gut als Einstieg in das Thema Klimamodellierung in einführen-den Hochschulvorlesungen zum Themenbereich Kohlenstoffkreislauf und Klimawandel. In der Schule kann es gegen Ende der Sekundarstufe 2 beispielsweise im Projektunterricht zum Themen-komplex Nachhaltigkeit in Physik und/oder Mathematik eingesetzt werden Y1 - 2024 UR - https://ojs.dpg-physik.de/index.php/phydid-b/article/view/1411 SN - 2191-379X VL - 1 IS - 1 SP - 379 EP - 388 PB - FU Berlin ER - TY - JOUR A1 - Vollmer, Michael T1 - Below the horizon-the physics of extreme visual ranges JF - Applied Optics Y1 - 2020 U6 - https://doi.org/10.1364/AO.390654 VL - 59 IS - 21 SP - F11 EP - F19 PB - Optica Publishing Group ER - TY - JOUR A1 - Vollmer, Michael T1 - Gefrierende Gewässer JF - Physik in unserer Zeit KW - Gefrieren von Seen KW - Eiswachstumsmodell KW - Konvektion KW - Strahlung KW - Stefan-Boltzmann-Gesetz KW - Wärmeleitfähigkeit KW - optische Eisdickenmessung Y1 - 2021 U6 - https://doi.org/10.1002/piuz.202001589 VL - 52 IS - 1 SP - 19 EP - 25 PB - Wiley-Blackwell ER - TY - JOUR A1 - Vollmer, Michael T1 - Limitations of the eye and how to overcome them JF - Journal of Physics: Conference Series N2 - Human eyes have spatial, temporal, and spectral limitations which impose constraints on our perception. With appropriate optical devices and cameras, the limitations can be easily overcome. As a consequence, a huge variety of physical phenomena can be made accessible for teaching. Y1 - 2024 U6 - https://doi.org/10.1088/1742-6596/2750/1/012001 VL - 2750 IS - 1 SP - 1 EP - 10 ER - TY - JOUR A1 - Vollmer, Michael T1 - Nachtsicht ins All mit dem bloßen Auge: Sag mir, wie weit die Sterne steh'n JF - Physik in unserer Zeit Y1 - 2025 U6 - https://doi.org/10.1002/piuz.202501751 VL - 2025 SP - 2 EP - 10 PB - Wiley ER - TY - JOUR A1 - Vollmer, Michael T1 - Naked eye celestial objects and phenomena: how far can we see at night? JF - European Journal of Physics N2 - How far can we see with the naked eye at night? Many celestial objects like stars and galaxies as well as transient phenomena such as comets and supernovae can be observed in the night sky. We discuss the furthest distances of such objects and phenomena observable with the naked eye during the night-time for Earth-bound observers. The physics of night-time visual ranges differs from that of daytime observations because human vision shifts from cones to rods. In addition, mostly point sources are observed due to the large distances involved. Whether celestial objects and phenomena can be detected depends on the contrast of their radiation and the background sky luminance. We present a concise overview of how far we can see at night by first discussing the effects of the Earth's atmosphere. This includes attenuation of transmitted radiation as well as its role as a source of background radiation. Disregarding the attenuation of light due to interstellar and intergalactic dust, simple maximum night-time visual range estimates are based on the inverse square law, which can be easily verified by laboratory and demonstration experiments. From the respective calculations, we find that individual stars within the Milky Way galaxy of up to 15 000 light years are observable. Even further away are observable galaxies with several billion stars. The Andromeda galaxy can be observed with the naked eye at a distance of around 2.5 million light years. Similarly, the observability of supernovae also allows a visual range beyond the Milky Way galaxy. Finally, gamma ray bursts as the most energetic events in the universe are discussed concerning naked eye observations. Y1 - 2025 U6 - https://doi.org/10.1088/1361-6404/adbf74 VL - 46 IS - 3 PB - IOP Science ER - TY - JOUR A1 - Vollmer, Michael T1 - How far can we see at day? JF - European Journal of Physics N2 - We discuss the farthest objects on Earth observable for the unaided, healthy naked eye during the daytime, i.e., the maximum visual range for observers on Earth. Visual range depends first on the properties of the material between observer and object and its interaction processes with radiation, but second also on our visual perception system. After a rough comparison of ranges in water, glass, and the atmosphere, we focus on the physical basis of visual range for the latter. As a contrast phenomenon, visual range refers to allowed light paths within the atmosphere. It results from the interplay of geometry, refraction, and light scattering. We present a concise overview of this field by qualitative descriptions and quantitative estimates as well as classroom demonstration experiments. The starting point is the common geometrical visual ranges, followed by extensions due to refraction and limitations due to contrast, which depend on scattering and absorption processes within the atmosphere. The quantitative discussion of scattering is very helpful to easily understand the huge ranges in nature from meters in dense fog to hundreds of kilometers in clear atmospheres. Extreme visual ranges from about 300 km to above 500 km require optimal atmospheric conditions, cleverly chosen locations and times, and a sophisticated topography analysis. Even longer visual ranges are possible when looking through the vertical atmosphere. From the ISS, daytime ranges well above 1000 km are possible. Y1 - 2025 U6 - https://doi.org/10.1088/1361-6404/adc4a0 VL - 46 IS - 3 PB - IOP Science ER - TY - JOUR A1 - Vollmer, Michael T1 - How many stars appear colored to the naked eye? JF - Applied Optics N2 - Naked eye studies of the clear night sky reveal that a certain percentage of all observable stars can be perceived as having color. Subjective estimates differ widely, ranging from just a few to a maximum of above two hundred. Explanations are based on the emission spectra of the stars, which are modified by interstellar dust clouds, the Earth atmosphere, and mostly the inverse square law. Color changes occur not only for variation of the star’s angular elevation above the horizon, but as well for decreasing nighttime sky brightness due to the transition from photopic via mesopic to scotopic vision. The maximum number of stars showing color to the naked eye depends on star illuminances on Earth and the background sky luminance. The limit of observing color is found to correspond to apparent visual magnitudes around , defining the number of colored stars. This also means that naked eye perception of stars with color is only possible for a certain star distance range, which is well below the maximum naked eye visual range of stars. Y1 - 2026 U6 - https://doi.org/10.1364/AO.580635 VL - 65 IS - 9 SP - C27 EP - C37 PB - Optica Publishing Group ER - TY - JOUR A1 - Vogel, Sven A1 - Wölfer, Christian A1 - Ramirez-Diaz, Diego A1 - Flassig, Robert A1 - Sundmacher, Kai A1 - Schwille, Petra T1 - Symmetry Breaking and Emergence of Directional Flows in Minimal Actomyosin Cortices JF - Cells N2 - Cortical actomyosin flows, among other mechanisms, scale up spontaneous symmetry breaking and thus play pivotal roles in cell differentiation, division, and motility. According to many model systems, myosin motor-induced local contractions of initially isotropic actomyosin cortices are nucleation points for generating cortical flows. However, the positive feedback mechanisms by which spontaneous contractions can be amplified towards large-scale directed flows remain mostly speculative. To investigate such a process on spherical surfaces, we reconstituted and confined initially isotropic minimal actomyosin cortices to the interfaces of emulsion droplets. The presence of ATP leads to myosin-induced local contractions that self-organize and amplify into directed large-scale actomyosin flows. By combining our experiments with theory, we found that the feedback mechanism leading to a coordinated directional motion of actomyosin clusters can be described as asymmetric cluster vibrations, caused by intrinsic non-isotropic ATP consumption with spatial confinement. We identified fingerprints of vibrational states as the basis of directed motions by tracking individual actomyosin clusters. These vibrations may represent a generic key driver of directed actomyosin flows under spatial confinement in vitro and in living systems. Y1 - 2020 UR - https://www.mdpi.com/2073-4409/9/6/1432 U6 - https://doi.org/10.3390/cells9061432 SP - 1 EP - 10 PB - MDPI ER - TY - INPR A1 - Vogel, Sven K. A1 - Wölfer, Christian A1 - Ramirez-Diaz, Diego A. A1 - Flassig, Robert J. A1 - Sundmacher, Kai A1 - Schwille, Petra T1 - Symmetry breaking and emergence of directional flows in minimal actomyosin cortices KW - bottom-up synthetic biology KW - motor proteins KW - pattern formation KW - self-organization Y1 - 2020 UR - https://www.preprints.org/manuscript/202004.0008/v1 U6 - https://doi.org/10.20944/preprints202004.0008.v1 ER - TY - CHAP A1 - Vielhauer, Claus A1 - Loewe, Fabian A1 - Pilgermann, Michael T1 - Towards Modeling Hidden & Steganographic Malware Communication based on Images T2 - IH&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025 N2 - Recently, an increasing number of IT security incidents involving malware, which makes use of hidden and steganographic channels for malicious communication (a.k.a. as "stegomalware"), can be observed in the wild. Especially the use of images to hide malicious code is rising. In consideration of this shift, a new model is proposed in this paper, which aims to help security professionals to identify and analyze incidents revolving around steganographic malware in the future. The model focuses on practical aspects of steganalysis of communication data to elaborate linking properties to previous code analysis knowledge. The model features two distinct roles that interact with a knowledge base which stores malware features and helps building a context for the incident. For evaluation, two image steganography malware types are chosen from popular databases (malpedia and MITRE ATT&CK®), which are analyzed in multiple steps including steganalysis and code analysis. It is conceptually shown, how the extracted features can be stored in a knowledge base for later use to identify stegomalware from communication data without the need of a thorough code analysis. This allows to uncover previously hidden meta-information about the examined malicious programs, enrich the incident’s forensic context traces and thus allows for thorough forensic insights, including attribution and improved preventive security measures in the future. Y1 - 2025 UR - https://dl.acm.org/doi/pdf/10.1145/3733102.3733152 U6 - https://doi.org/10.1145/3733102.3733152 SP - 52 EP - 63 ER - TY - JOUR A1 - Vaher, Ivi A1 - Tamm, Anna-Liisa A1 - Salus, Marit A1 - Reisberg, Kirkke A1 - Vähi, Aleksandra A1 - Pallon, Helena A1 - Paeste, Andra A1 - Pirk, Bäthel-Betty A1 - Merila, Margus A1 - Schrader, Thomas T1 - Effectiveness of massage chair and classic massage in recovery from physical exertion: a pilot study JF - Journal of Novel Physiotherapy and Rehabilitation N2 - Quick and cost-effective recovery is foundational to high-quality training and good competition results in today’s sports. The aim of the research was to elucidate the effects of hand and massage chair massage on the biomechanical parameters of muscles of lower limbs and back, indicators of Pain Pressure Thresholds (PPT) and subjectively perceived fatigue. A total of 32 female recreational athletes (18 – 50 years old) were assigned to a hand massage, massage chair, or lying down the group. They were measured for muscle biomechanical properties (MyotonPro), PPT (Wagner Instruments) and subjectively perceived fatigue (VAS scale) before and after fatigue tests and treatment. The recovery procedure and subjective satisfaction with treatment were rated on a Likert scale. Changes in the median value of m. rectus femoris and m. gastrocnemius stiffness with treatment showed that hand massage could be more effective in reducing stiffness, as compared to chair massage. Hand massage may have benefits for recovery from physical exertion, but due to the individuality of subjects, detailed methodological studies are needed to evaluate the effects of massage chair vs. hand massage. Y1 - 2023 U6 - https://doi.org/10.29328/journal.jnpr.1001050 VL - 2023 IS - 7 SP - 8 EP - 15 PB - HSPI ER - TY - INPR A1 - Tuset-Peiro, Pere A1 - Pilgermann, Michael A1 - Pegueroles, Josep A1 - Vilajosana, Xavier T1 - Assessing Cybersecurity of Internet-Facing Medical IT Systems in Germany & Spain Using OSINT Tools N2 - This paper investigates cybersecurity threats in medical IT (Information Technology) systems exposed to the Internet. To that end, we develop a methodology and build a data processing pipeline that allows to gather data from different OSINT (Open Source Intelligence) sources, and processes it to obtain relevant cybersecurity metrics. To validate its operation and usefulness, we apply it to two countries, Germany and Spain, allowing to study the main threats that affect medical IT systems in these countries. Our initial findings reveal that 20% of German hosts and 15% of Spanish hosts tagged as medical devices have at least one CVE (Common Vulnerabilities and Exposures) with a CVSS (Common Vulnerability Scoring System) graded as critical (i.e., value 8 or greater). Moreover, we found that 74% of CVEs found in German hosts are dated from earlier than 2020, whereas for Spanish hosts the percentage is 60%. This indicates that medical IT systems exposed to the Internet are seldom updated, which further increases their exposure to cyberthreats. Based on these initial findings, we finish the paper providing some insights on how to improve cybersecurity of these systems. Y1 - 2025 U6 - https://doi.org/10.20944/preprints202503.1340.v1 SP - 190 EP - 197 ER - TY - JOUR A1 - Tumarkin, Andrey A1 - Tyurnina, Natalya A1 - Tyurnina, Zoya A1 - Mukhin, Nikolay A1 - Sinelshchikova, Olga A1 - Gagarin, Alexander A1 - Sviridov, Sergey A1 - Drozdovsky, Andrey A1 - Sapego, Eugeny A1 - Mylnikov, Ivan T1 - Barium-Strontium Titanate/Porous Glass Structures for Microwave Applications JF - Materials KW - glass-ceramic structures KW - filling of porous material KW - microwave KW - barium-strontium titanate Y1 - 2020 U6 - https://doi.org/10.3390/ma13245639 VL - 13 IS - 24 PB - MDPI ER - TY - JOUR A1 - Tumarkin, Andrey A1 - Tyurnina, Natalya A1 - Mukhin, Nikolay A1 - Tyurnina, Zoya A1 - Sinelshchikova, Olga A1 - Gagarin, Alexander A1 - Sapego, Eugeny A1 - Kretser, Yriy T1 - Glass-ceramic ferroelectric composite material BaTiO3/KFeSi for microwave applications JF - Composite Structures N2 - Glass-ceramic composites consisting of potassium-iron-silicate glass and barium titanate mixed in various proportions were successfully synthesized by low-temperature sintering. The crystal structure of the obtained composite samples, the porosity and the microhardness were studied by the X-ray diffraction, the electron microscopy, the weight method, and the Vickers method. Electrical characteristics (dielectric permittivity, tunability and losses) of as-prepared and annealed in oxygen medium samples were investigated at microwaves. According to structural analysis, the synthesized samples are a mixture of KFeSi glass, ferroelectric BaTiO3, and dielectric barium polytitanates; the ratio of the latter determines the electrical properties of the composites. Depending on the content of barium titanate, the studied composite samples show a permittivity from 50 to 270 with a dielectric loss level of 0,1–0,02 in frequency range from 3 to 10 GHz. Annealing of composite samples in an oxygen-containing environment leads to an increase in their dielectric permittivity and tunability by 10–25% and a twofold decrease in dielectric loss. Y1 - 2022 UR - https://linkinghub.elsevier.com/retrieve/pii/S0263822321014161 SN - 0263-8223 VL - 281 SP - 1 EP - 10 PB - Elsevier ER - TY - JOUR A1 - Trittel, Torsten A1 - Puzyrev, Dmitry A1 - Harth, Kirsten A1 - Stannarius, Ralf T1 - Rotational and translational motions in a homogeneously cooling granular gas JF - npj microgravity N2 - A granular gas composed of monodisperse spherical particles was studied in microgravity experiments in a drop tower. Translations and rotations of the particles were extracted from optical video data. Equipartition is violated, the rotational degrees of freedom were excited only to roughly 2/3 of the translational ones. After stopping the mechanical excitation, we observed granular cooling of the ensemble for a period of three times the Haff time, where the kinetic energy dropped to about 5% of its initial value. The cooling rates of all observable degrees of freedom were comparable, and the ratio of rotational and translational kinetic energies fluctuated around a constant value. The distributions of translational and rotational velocity components showed slight but systematic deviations from Gaussians at the start of cooling. Y1 - 2024 U6 - https://doi.org/10.1038/s41526-024-00420-5 VL - 10 IS - 1 SP - 1 EP - 6 PB - Springer ER - TY - JOUR A1 - Trittel, Torsten A1 - Klopp, Christoph A1 - Harth, Kirsten A1 - Stannarius, Ralf T1 - Stability and Rupture of Liquid Crystal Bridges under Microgravity JF - Crystals KW - smectic liquid-crystals KW - Rayleigh-Plateau instability KW - TEXUS suborbital rocket KW - microgravity Y1 - 2022 U6 - https://doi.org/https://doi.org/10.3390/cryst12081092 VL - 12 IS - 8 PB - MDPI ER - TY - CHAP A1 - Trancón y Widemann, Baltasar A1 - Lepper, Markus ED - Ertl, M. Anton ED - Kirsch, Christoph M. T1 - Imagine There’s No Source Code: Replay Diagnostic Location Information in Dynamic EDSL Meta-programming T2 - MPLR 2024: Proceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes N2 - Programs in embedded domain-specific languages are realized as graphs of objects of the host language rather than as static input texts. This property enables dynamic meta-programming, but also makes it harder to attach location information to diagnostic messages that arise at a later stage, after the program graph construction. Thus, EDSL-generating expressions and algorithms can be difficult to debug. Here, we present a technique for transparently capturing and replaying location information about the origin of EDSL program objects. It has been implemented in the context of the LLJava-live EDSL-to-bytecode compiler framework on the JVM. The basic idea can be generalized to other contexts, and to any managed runtime environment with reified stack traces Y1 - 2024 U6 - https://doi.org/10.1145/3679007.3685061 SP - 1 EP - 11 PB - ACM CY - New York ER - TY - CHAP A1 - Tetzlaff, Laura A1 - Purohit, Anne-Maria A1 - Spallek, Jacob A1 - Holmberg, Christine A1 - Schrader, Thomas T1 - Evaluating Interoperability in German Critical Incident Reporting Systems T2 - German Medical Data Sciences 2023 – Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany N2 - In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness. Y1 - 2023 U6 - https://doi.org/10.3233/SHTI230722 SP - 249 EP - 257 PB - IOS Press ER - TY - JOUR A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Weber, Simon A1 - Sedlmayr, Martin T1 - Leveraging MDS2 and SBOM data for LLM-assisted vulnerability analysis of medical devices JF - Computational and Structural Biotechnology Journal N2 - This study investigated the use of a semi-automated, Retrieval-Augmented Generation (RAG)-based multi-agent architecture to analyze security-relevant data and assemble specialized exploitation paths targeting medical devices. The input dataset comprised device-specific sources, namely, the Manufacturer Disclosure Statement for Medical Device Security (MDS2) documents and Software Bills of Materials (SBOMs), enriched with public vulnerability databases, including Common Vulnerabilities and Exposures (CVE), Known Exploited Vulnerabilities (KEV), and Metasploit exploit records. The objective was to assess whether a modular, Large Language Model (LLM)-driven agent system could autonomously correlate device metadata with known vulnerabilities and existing exploit information to support structured threat modeling. The architecture follows a static RAG design based on predefined prompts and fixed retrieval logic, without autonomous agent planning or dynamic query adaptation. The developed Vulnerability Intelligence for Threat Analysis in Medical Security (VITAMedSec) system operates under human-prompted supervision and successfully synthesizes actionable insights and exploitation paths without requiring manual step-by-step input during execution. Although technically coherent results were obtained under controlled conditions, real-world validation remains a critical avenue for future research. This study further discusses the dual-use implications of such an agent-based framework, its relevance to patient safety in medical device cybersecurity, and the broader applicability of the proposed architecture to other critical infrastructure sectors. These findings emphasize both the technical potential and ethical responsibility for applying semi-automated AI workflows in medical cybersecurity contexts. Y1 - 2025 U6 - https://doi.org/10.1016/j.csbj.2025.07.012 VL - 28 SP - 267 EP - 280 PB - Elsevier ER - TY - JOUR A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Sedlmayr, Martin T1 - Systematic Evaluation of Manufacturer Disclosure Statements for Medical Device Security (MDS2) to Strengthen Hospital OT Security Measures – Lessons Learned JF - Studies in health technology and informatics N2 - The growing number of connected medical devices in hospitals poses serious operational technology (OT) security challenges. Effective countermeasures require a structured analysis of the communication interfaces and security configurations of individual devices. State of the art: Although Manufacturer Disclosure Statements for Medical Device Security (MDS2, Version 2019) offer relevant information, they are rarely integrated into cybersecurity workflows. Existing studies are limited in scope and lack scalable methodologies for systematic evaluation. Concept: This study analyzed 209 MDS2 documents and 161 security white papers to extract structured information on ports, protocols, and protective measures. Over 52,000 question–answer pairs were converted into a machine-readable format using customized parsing and validation routines. The aim was to establish whether this dataset could inform risk assessments and future applications involving Large Language Models (LLMs). Implementation: The analysis revealed 367 distinct ports, including common protocols such as HTTPS (443), DICOM (104), and RDP (3389), as well as vendor-specific proprietary ports. Approximately 40% of the devices used over 20 ports, indicating a broad attack surface. OCR errors and inconsistent formatting required manual corrections. A consolidated dataset was developed to support clustering, comparison across vendors and versions, and preparation for downstream LLM use, particularly via structured SBOM and configuration data. Lessons learned: Although no model training was conducted, the structured dataset can support AI-based OT security workflows. The findings highlight the critical need for up-to-date, machine-readable manufacturer data in standardized formats and schemas. Such information could greatly enhance the automation, comparability, and scalability of hospital cybersecurity measures. Y1 - 2025 U6 - https://doi.org/10.3233/SHTI251404 VL - 331 SP - 256 EP - 264 ER - TY - JOUR A1 - Stannarius, Ralf A1 - Wang, Jing A1 - Pongó, Tivadar A1 - Fan, Bo A1 - Börzsönyi, Tamás A1 - Hidalgo, Raúl Cruz ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Forces on a sphere suspended in flowing granulate JF - EPJ Web of Conferences N2 - We investigate the forces of flowing granular material on an obstacle. A sphere suspended in a discharging silo experiences both weight of the overlaying layers and drag of the surrounding moving grains. In experiments with frictional hard glass beads, the force on the obstacle was found to be practically flow-rate independent. In contrast, flow of nearly frictionless soft hydrogel spheres added drag forces which increased with the flow rate until reaching saturation at high flow speeds. The total force grew quadratically with the obstacle diameter in the soft, low friction material, while it grew much weaker, nearly linearly with the obstacle diameter, in the bed of hard, frictional glass spheres. In addition to the drag, obstacles embedded in the flowing hydrogel spheres experience a weight force from the top as if immersed in a hydrostatic pressure profile, but negligible counter-forces from below. In contrast, the frictional hard particles create a strong pressure gradient near the upper surface of the obstacle. Numerical simulations provide additional information that is difficult to access experimentally. They reproduce the experimental results and give hints for the origin of the different force contributions. The results have considerable practical importance for the discharge of storage containers with large objects suspended in flowing granular material. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534002019 VL - 340 PB - EDP Sciences ER - TY - CHAP A1 - Simmering, Veronika A1 - Pfeiffer, Thies A1 - Kindsmüller, Martin Christof T1 - The Impact of Embodiment and Output Modality on Learning with Conversational Agents in VR T2 - GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2025 N2 - In Virtual Reality (VR) learning applications, the integration of pedagogical agents is particularly promising, as they function as a virtual social support. With the recent developments in Large Language Models (LLMs), conversational language models are now available that enable natural language interaction in a VR environment. We evaluated four possible designs for LLM-based agents (푛 = 21) in an aircraft-engine training. Focusing on the primary questions when bringing LLM-based agents into VR: whether to use text or speech and whether to embody the conversational agent in 3D or not. Pre- and post-tests were used to measure retention and questionnaires were used to measure the User Experience (UX) of different design variants. Contrary to our hypotheses, retention was higher when using a non-embodied design compared to an embodied design. The output modality did not have a significant impact on the learning success, but it did have an impact on the UX. Y1 - 2025 U6 - https://doi.org/10.18420/vrar2025_12 SN - 2944-7682 SP - 235 EP - 254 PB - Gesellschaft für Informatik ER - TY - JOUR A1 - Schwarz, Klaus A1 - Schwarz, Franziska A1 - Creutzburg, Reiner T1 - Conception and implementation of professional laboratory exercises in the field of open source intelligence (OSINT) JF - Electronic Imaging KW - Open Source Intelligence KW - OSINT KW - cybersecurity KW - Shodan KW - PassiveTotal KW - Censys KW - Maltego Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-278 SN - 2470-1173 SP - 278-1 EP - 278-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 1: RiskIQ Passive-Total JF - Electronic imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-043 SN - 2470-1173 SP - 43-1 EP - 43-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 2: Censys JF - Electronic Imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-044 SN - 2470-1173 SP - 44-1 EP - 44-8 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 3: Maltego JF - Electronic Imaging KW - 3D Saliency KW - Censys KW - Convolutional Neural Network KW - Human Visual System KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - Stereoscopic image quality assessment KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-045 SP - 45-1 EP - 45-23 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Fuchs, Daniel A1 - Creutzburg, Reiner A1 - Akopian, David T1 - Firmware Vulnerability Analysis of Widely Used Low-Budget TP-Link Routers JF - Electronic Imaging KW - cybersecurity KW - firmware analysis KW - firmware vulnerabilities KW - internet security KW - router forensics KW - router security KW - smart home KW - smart home devices Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-135 SN - 2470-1173 SP - 135-1 EP - 135-11 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Improving Detection of Manipulated Passport Photos - Train- ing Course for Border Control Inspectors to Detect Morphed Facial Passport Photos - Part I: Introduction, State-of-the-Art and Preparatory Tests and Experiments JF - Electronic Imaging KW - border control KW - face morphing KW - homeland security KW - image forensic KW - image morphing KW - passport control KW - passport photo manipulation KW - security Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-136 SN - 2470-1173 SP - 136-1 EP - 136-9 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - New Methodology and Checklist of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Home Devices JF - Electronic Imaging KW - Internet of Things KW - IoT KW - IoT security KW - cybersecurity KW - privacy KW - security KW - smart home KW - smart home devices Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-276 SN - 2470-1173 SP - 276-1 EP - 276-15 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Security and Privacy Investigation of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Light Bulbs JF - Electronic Imaging KW - Internet of Things KW - IoT KW - cybersecurity KW - privacy KW - security KW - smart home KW - smart home devices Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-275 SN - 2470-1173 SP - 275-1 EP - 275-11 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception of a Secure Remote Maintenance Procedure Using Dedicated Hardware JF - Electronic Imaging KW - secure remote service KW - secure remote control KW - firewall KW - critical infrastructure maintenance KW - cybersecurity KW - secure remote desktop KW - healthcare security KW - security Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-336 SN - 2470-1173 SP - 336-1 EP - 336-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schumann, Sophia A1 - Stoilova, Velizara A1 - Bortoletto, Enrico A1 - Piva, Elisabetta A1 - Pacchini, Sara A1 - Mozzi, Gloria A1 - Jechow, Andreas A1 - Marion, Andrea A1 - Bertotto, Daniela A1 - Erlandson, Ann A1 - Hölker, Franz A1 - Greenberg, Larry A1 - Santovito, Gianfranco T1 - Impact of artificial light at night (ALAN) on cardiac function and acute oxidative stress physiology in migratory brown trout smolts JF - Environmental Pollution N2 - Light pollution poses significant ecological challenges for nocturnal animals reliant on natural light for migration, orientation, and circadian rhythms. The physiological effects of abrupt exposure to artificial light at night (ALAN) on migratory fish, such as the light experienced passing near illuminated infrastructures, remain poorly understood. This study investigates the physiological responses of brown trout (Salmo trutta) smolts to low-intensity (0.02 lx) and short-term (30 s) ALAN, simulating nocturnal migration light conditions near illuminated bridges. To evaluate the influence of social dynamics, trout were tested individually (solitary) or in groups of six. Using continuous cardiac monitoring with data storage tags, alongside analyses of oxidative stress markers and adenylate kinase (AK) activity in the heart, we identified distinct patterns of physiological responses. Solitary fish exhibited significant heart rate variability (HRV) increases following repeated ALAN exposure, suggesting impaired physiological regulation under repeated ALAN exposure. In contrast, trout in groups displayed consistently lower HRV over the entire 90-min experiment, implying that social dynamics likely influenced a sustained oxidative stress response, corroborated by increased AK activity. Oxidative stress markers further reflected social effects, with significant upregulation of key antioxidant enzymes (sod1, sod2, gpx1, gpx4) and elevated lipid peroxidation, identifying lipids as primary oxidative targets. The observed divergence between superoxide dismutase (SOD) activity and sod gene expression suggests adaptive post-transcriptional regulation to maintain redox balance under combined environmental and social stress. These findings reveal that social dynamics under ALAN can amplify physiological stress, potentially affecting migratory outcomes. Y1 - 2025 U6 - https://doi.org/10.1016/j.envpol.2025.126593 IS - 381 SP - 1 EP - 9 PB - Elsevier ER - TY - JOUR A1 - Schnitzer, Julia T1 - Generative Design For Creators – The Impact Of Data Driven Visualization And Processing In The Field Of Creative Business JF - Electronic Imaging Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-022 SN - 2470-1173 SP - 022-1 EP - 022-6 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - RPRT A1 - Schiller, Carina T1 - IN-FDM-BB Werkstattbericht: W 1.2.3 Gemeinsamer Lessons-Learned-Bericht zu Beratung N2 - Die Beratung von Forschenden spielt eine zentrale Rolle bei der Umsetzung und Etablierung des Forschungsdatenmanagements (FDM) im Forschungsalltag. Nach wie vor benötigen viele Forschende Unterstützung im Umgang mit ihren Forschungsdaten. Dies kann einerseits durch einen eher generischen Kenntnisstand zum Thema FDM bedingt sein, andererseits stellt der FDM-Kosmos einen hochfluiden Bereich dar – mit fortlaufend aktualisierten oder gänzlich neuen Tools und Infrastrukturen sowie veränderten Anforderungen an Forschende auch von Seiten der Forschungsförderer. Eine zentrale FDM-Anlaufstelle für die Ratsuchenden ist an den Hochschulen unerlässlich und folglich auch unter den Maßnahmen des Verbundprojekts „IN-FDM-BB – Institutionalisiertes und nachhaltiges Forschungsdatenmanagement in Brandenburg“ zu finden. Seit Oktober 2022 (Projektbeginn) werden an den beteiligten brandenburgischen Hochschulen entsprechende FDM-Kontaktpunkte auf- bzw. ausgebaut um die (Erst-)Beratung von Forschenden durchführen zu können. Darüber hinaus werden unterstützende Angebote etwa für rechtliche/ethische Fragen konzipiert und etabliert, um eine umfassende Beratung auch für spezifische Aspekte des FDMs zu ermöglichen. Bedarfsgerechte Materialien und Handreichungen, ebenso Bestandteil des Projektplans, ergänzen das individuelle Beratungsangebot. Der vorliegende Werkstattbericht stellt Erkenntnisse und Herausforderungen der Erprobungsphase dar und skizziert Ansätze, um diesen Herausforderungen lösungsorientiert begegnen zu können. Wertvolle Einblicke in die Beratungspraxis aller am Projekt beteiligter Hochschulen bilden dabei die Grundlage. Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.13349762 PB - Zenodo ER - TY - JOUR A1 - Scharf, Gili A1 - Guterding, Daniel A1 - Hen, Bar A1 - Sarte, Paul M. A1 - Ortiz, Brenden R. A1 - Rozenberg, Gregory Kh. A1 - Holder, Tobias A1 - Wilson, Stephen D. A1 - Jeschke, Harald O. A1 - Ron, Alon T1 - Pressure tuning of intrinsic and extrinsic sources to the anomalous Hall effect in CrGeTe3 JF - Physical Review Research N2 - The integrated Berry curvature is a geometric property that has dramatic implications for material properties. This study investigates the integrated Berry curvature and other contributions to the anomalous Hall effect in CrGeTe3 as a function of pressure. The anomalous Hall effect is absent in the insulating phase of CrGeTe3 and evolves with pressure in a domelike fashion as pressure is applied. The dome's edges are characterized by Fermi surface deformations, manifested as mixed electron and hole transport. We corroborate the presence of bipolar transport using ab initio calculations, which also predict a nonmonotonic behavior of the Berry curvature as a function of pressure. Quantitative discrepancies between our calculations and experimental results indicate that additional scattering mechanisms, which are also strongly tuned by pressure, contribute to the anomalous Hall effect in CrGeTe3. Y1 - 2025 U6 - https://doi.org/10.1103/PhysRevResearch.7.013127 VL - 7 IS - 1 SP - 1 EP - 8 PB - American Physical Society ER - TY - JOUR A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry T1 - Criteria for dynamical clustering in permanently excited granular gases: comparison and estimation with machine learning approaches JF - Granular Matter N2 - When granular gases in microgravity are continuously excited mechanically, spatial inhomogeneities of the particle distribution can emerge. At a sufficiently large overall packing fraction, a significant share of particles tend to concentrate in strongly overpopulated regions, so-called clusters, far from the excitation sources. This dynamical clustering is caused by a complex balance between energy influx and dissipation. The mean number density of particles, the geometry of the container, and the excitation strength influence cluster formation. A quantification of clustering thresholds is not trivial. We generate ‘synthetic’ data sets by Discrete Element Method simulations of frictional spheres in a cuboid container and apply established criteria to classify the local packing fraction profiles. Machine learning approaches that predict dynamic clustering from known system parameters on the basis of classical test criteria areoposed and tested. It avoids the necessity of complex numerical simulations. Y1 - 2025 U6 - https://doi.org/10.1007/s10035-025-01560-5 VL - 27 IS - 4 PB - Springer ER - TY - JOUR A1 - Sasaki, Felix T1 - Künstliche Intelligenz in der Ausbildung von Wissensarbeiterinnen und Wissensarbeitern JF - API : Ausbilden, Publizieren, Informieren - studentisches Magazin der HAW Hamburg KW - Künstliche Intelligenz KW - Wissensarbeiter KW - Ausbildung KW - Curricula KW - Journalisten KW - Übersetzer KW - Bibliothekare Y1 - 2021 U6 - https://doi.org/10.15460/apimagazin.2021.2.1.65 SN - 2699-6693 VL - 2 IS - 1 SP - 1 EP - 16 PB - Hamburg University Press ER - TY - JOUR A1 - Ruzankina, Iuliia A1 - Mukhin, Nikolay A1 - Mermoul, Ali A1 - Parfenov, Vadim A1 - Fron, Eduard A1 - Ferrini, Gabriele T1 - Surface optical sensitivity enhanced by a single dielectric microsphere JF - Optics Express N2 - Single dielectric microspheres can manipulate light focusing and collection to enhance optical interaction with surfaces. To demonstrate this principle, we experimentally investigate the enhancement of the Raman signal collected by a single dielectric microsphere, with a radius much larger than the exciting laser spot size, residing on the sample surface. The absolute microsphere-assisted Raman signal from a single graphene layer measured in air is more than a factor of two higher than that obtained with a high numerical aperture objective. Results from Mie’s theory are used to benchmark numerical simulations and an analytical model to describe the isolated microsphere focusing properties. The analytical model and the numerical simulations justify the Raman signal enhancement measured in the microsphere-assisted Raman spectroscopy experiments. Y1 - 2022 UR - https://doi.org/10.1364/OE.472720 VL - 30 IS - 24 SP - 43021 EP - 43036 PB - Optica ER - TY - JOUR A1 - Rudenko, Maryia A1 - Gaponenko, Nikolai A1 - Litvinov, Vladimir A1 - Ermachikhin, Alexander A1 - Chubenko, Eugene A1 - Borisenko, Victor A1 - Mukhin, Nikolay A1 - Radyush, Yuriy A1 - Tumarkin, Andrey A1 - Gagarin, Alexander T1 - Structural Dependent Eu3+ Luminescence, Photoelectric and Hysteresis Effects in Porous Strontium Titanate JF - Materials KW - europium luminescence KW - poporous film KW - strontium titanate KW - resistive switching hysteresis KW - photocurrent Y1 - 2020 U6 - https://doi.org/10.3390/ma13245767 VL - 13 IS - 24 PB - MDPI ER - TY - JOUR A1 - Rojek, Lukasz A1 - Islam, Saiful A1 - Hartmann, Michael A1 - Creutzburg, Reiner T1 - IoT-Based Real-Time Monitoring System for a Smart Energy House JF - Electronic Imaging KW - AI KW - Raspberry Pi KW - low cost sensors KW - monitoring KW - networking KW - real-time KW - smart energy house KW - smart home Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-038 SN - 2470-1173 SP - 38-1 EP - 38-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Meister, Vera G. T1 - Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing JF - Business Process Management Journal KW - Business process management KW - Business process complexity KW - Natural language processing KW - Situation awareness KW - Decision support KW - ITIL IT ticket Y1 - 2021 U6 - https://doi.org/10.1108/BPMJ-04-2021-0217 SN - 1758-4116 VL - 27 IS - 7 SP - 1966 EP - 1998 PB - Emerald ER - TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Edelmann, Noella T1 - Text analytics for co-creation in public sector organizations: a literature review-based research framework JF - Artificial Intelligence Review N2 - The public sector faces considerable challenges that stem from increasing external and internal demands, the need for diverse and complex services, and citizens' lack of satisfaction and trust in public sector organisations (PSOs). An alternative to traditional public service delivery is the co-creation of public services. Data analytics has been fueled by the availability of immense amounts of data, including textual data, and techniques to analyze data, so it has immense potential to foster data-driven solutions for the public sector. In the paper, we systematically review the existing literature on the application of Text Analytics (TA) techniques on textual data that can support public service co-creation. In this review, we identify the TA techniques, the public services and the co-creation phase they support, as well as envisioned public values for the stakeholder groups. On the basis of the analysis, we develop a Research Framework that helps to structure the TA-enabled co-creation process in PSOs, increases awareness among public sector organizations and stakeholders on the significant potential of TA in creating value, and provides scholars with some avenues for further research. Y1 - 2025 U6 - https://doi.org/10.1007/s10462-025-11112-1 SP - 1 EP - 45 ER - TY - JOUR A1 - Rizun, Nina A1 - Bordean, Ovidiu Niculae A1 - Nikiforova, Anastasija A1 - Beleiu, Ioana Natalia A1 - Revina, Aleksandra T1 - Generative AI in higher education: Ethical and behavioral factors influencing students’ intentions to use ChatGPT JF - Computers and Education Open Y1 - 2026 U6 - https://doi.org/10.1016/j.caeo.2026.100336 VL - 10 SP - 1 EP - 16 PB - Elsevier ER - TY - CHAP A1 - Richter, Nancy A1 - Wrobel, Martin T1 - The Impact of prototyping on the survival chances of digital early-stage startups: Findings and insights from explorative expert interviews T2 - Proceedings of the 18th European Conference on Innovation and Entrepreneurship, ECIE 2023 N2 - The products of digital entrepreneurs are highly innovative, and their business models contribute to the prosperity and further development of the economy and society. However, studies indicate that most of all startups fail, particularly during the early stages of their business journey Prototyping as part of Lean Startup or Business Model Testing approaches, can assist digital early-stage startups in navigating uncertainty and achieving successful product launches. However, these methods are applied very individually and there is little empirical research on best practices. We therefore conducted 65 explorative expert interviews and asked successful startups about their prototyping practices. Our results include learnings on the prototyping process and the testing format, the role of the founding team during prototyping practices, the customer focus and the role of networks. Our study adds important details to theory and practice of the innovation and prototyping processes of digital early-stage startups. Our results offer actionable advice and guidance to any current and potential entrepreneur, but especially to first-time founders and less experienced executives in early stage-startups. Additionally, our contribution enhances the theoretical understanding of the Lean Startup approach and prototyping practices. Y1 - 2023 U6 - https://doi.org/10.34190/ecie.18.2.1714 VL - 18 IS - 2 SP - 772 EP - 779 PB - Academic Conferences International Limited ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security Part II: Red Teaming and Blue Teaming JF - Electronic Imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-074 SN - 2470-1173 SP - 74-1 EP - 74-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security - Part I: Fundamentals JF - Electronic imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-073 SP - 73-1 EP - 73-13 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Revina, Aleksandra A1 - Buza, Krisztian A1 - Meister, Vera G. T1 - IT Ticket Classification: The Simpler, the Better JF - IEEE Access KW - IT tickets KW - Linguistics KW - Machine learning KW - Text classification KW - TF-IDF KW - Process complexity Y1 - 2020 U6 - https://doi.org/10.1109/ACCESS.2020.3032840 SN - 2169-3536 VL - 8 SP - 193380 EP - 193395 PB - Institute of Electrical and Electronics Engineers (IEEE) ER - TY - JOUR A1 - Revina, Aleksandra A1 - Aksu, Ünal A1 - Meister, Vera G. T1 - Method to Address Complexity in Organizations Based on a Comprehensive Overview JF - Information 2021 KW - organizational complexity KW - technological complexity KW - textual complexity KW - morphological box KW - goal question metric Y1 - 2021 U6 - https://doi.org/10.3390/info12100423 VL - 12 IS - 10 SP - 423 PB - MDPI ER - TY - JOUR A1 - Regehly, Martin A1 - Hecht, Stefan T1 - Auf dem Weg zum Replikator BT - volumetrischer 3D-Druck JF - Physik in unserer Zeit KW - Xolographie KW - 3D-Druck KW - Additive Fertigung KW - volumetrisch KW - Photoschalter KW - Lichtschnitt Y1 - 2022 U6 - https://doi.org/10.1002/piuz.202201637 SN - 1521-3943 SN - 1521-3943 (eISSN) VL - 53 IS - 3 SP - 125 EP - 131 PB - Wiley-VCH GmbH ER - TY - JOUR A1 - Redka, D. A1 - Mukhin, N. A1 - Grishkanich, A. A1 - Terukov, E. A1 - Hirsch, Sören A1 - Ignateva, L. T1 - NdYAG surface modification of ZnO for solar cells JF - Journal of Physics: Conference Series Y1 - 2019 U6 - https://doi.org/10.1088/1742-6596/1410/1/012106 VL - 1410 SP - 012106 PB - IOP Science ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.18420/muc2025-mci-ws11-164 SP - 1 EP - 6 PB - Gesellschaft für Informatik ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Setting the Stage for Collaboration: A Multi-View Table for Touch and Tangible Map Interaction T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - We present a multi-user map application based on a novel multiview concept that enables simultaneous and independent interaction with shared geospatial content. Each user operates a personal View Finder and Focus View, color-coded for clarity, while a shared, immutable Context View provides a common reference frame. The system supports both touch-based and tangible interaction techniques, including gesture control, virtual joysticks, and physical objects. Users can flexibly arrange their workspaces on a multi-touch table, supporting both individual exploration and collaborative tasks. Y1 - 2025 U6 - https://doi.org/10.18420/muc2025-mci-demo-318 SP - 1 EP - 4 PB - Gesellschaft für Informatik ER - TY - JOUR A1 - Puzyrev, Dmitry A1 - Trittel, Torsten A1 - Harth, Kirsten A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Cruz Hidalgo, Raúl ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - AI-aided visual data analysis for granular gases: Complex particles, high density, and other challenges JF - EPJ Web of Conferences N2 - Microgravity experiments with three-dimensional (3D) granular gases, i.e., ensembles of freemoving macroscopic particles which collide inelastically, produce large amounts of stereo video footage which require processing and analysis. The main steps of data treatment are particle detection, 3D matching and tracking in stereoscopic views, and quantification of ensemble statistical properties such as, e.g. mean kinetic energy or collision processes. Frequent overlapping or clustering of particles and their complicated movement patterns require smart software solutions. In recent years, Artificial Intelligence/Machine Learning (AI/ML) methods were successfully used for analysis of granular systems. We have applied such techniques to the granular gases of rod-like particles and developed a software tool which enables a full cycle of semi-automatic experimental data analysis. The approach is now tested on more complex, non-convex particles, shaped as 3D crosses (hexapods). Another challenge is optical analysis of dense granular gases, where individual particles cannot be tracked. We present a preliminary result of application of an ML method for number density profiles extraction in VIP-Gran experiment with dense ensemble of rod-like particles. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012013 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Puzyrev, Dmitry A1 - Torsten, Torsten A1 - Harth, Kirsten A1 - Stannarius, Ralf T1 - Cooling of a granular gas mixture in microgravity JF - npj microgravity N2 - Granular gases are fascinating non-equilibrium systems with interesting features such as spontaneous clustering and non-Gaussian velocity distributions. Mixtures of different components represent a much more natural composition than monodisperse ensembles but attracted comparably little attention so far. We present the observation and characterization of a mixture of rod-like particles with different sizes and masses in a drop tower experiment. Kinetic energy decay rates during granular cooling and collision rates were determined and Haff’s law for homogeneous granular cooling was confirmed. Thereby, energy equipartition between the mixture components and between individual degrees of freedom is violated. Heavier particles keep a slightly higher average kinetic energy than lighter ones. Experimental results are supported by numerical simulations. Y1 - 2024 U6 - https://doi.org/10.1038/s41526-024-00369-5 VL - 10 IS - 1 SP - 1 EP - 9 PB - Springer CY - Brandenburg an der Havel ER - TY - JOUR A1 - Ptashnik, Sergey V. A1 - Mikhailov, Anatoliy K. A1 - Yastrebov, Alexander V. A1 - Petrov, Peter K. A1 - Liu, Wei A1 - McN Alford, Neil A1 - Hirsch, Soeren A1 - Kozyrev, Andrey B. T1 - Ferroelectric thin film acoustic devices with electrical multiband switching ability JF - Scientific Reports KW - Electrical and electronic engineering KW - Electronic and spintronic devices Y1 - 2017 U6 - https://doi.org/10.1038/s41598-017-14895-8 VL - 7 IS - 15289 ER - TY - JOUR A1 - Prinz, Alexander A1 - Orlowski, Katja A1 - Beck, Eberhard A1 - Witte, Kerstin T1 - Serious Games for Seniors With Dementia: A Pilot Study JF - Journal of Applied Gerontology N2 - Dementia, marked by cognitive decline, significantly impacts daily life. With global prevalence rising, traditional treatments manage symptoms but have side effects and offer no cure. Non-pharmacological interventions, like serious games, are gaining importance. This study assesses the feasibility and benefits of serious games for people with mild to moderate dementia over a 10-week intervention. Sixty-one patients were recruited, with 35 completing the study. The intervention included six games focusing on physical and cognitive training. Outcome measures were motor function, cognitive assessments, quality of life, and depression. Results showed significant improvements in dynamic balance (p = .013) but no significant changes in other measures. The findings suggest that serious games are feasible and can improve motor functions like balance. However, short intervention periods may limit their impact on cognitive function and quality of life. Longer interventions and personalized game designs are recommended for greater benefits. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-33440 VL - 2025 SP - 1 EP - 11 PB - SAGE ER - TY - JOUR A1 - Preetham Sata, Sai A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Machine learning for prediction of dynamical clustering in granular gases JF - EPJ Web of Conferences N2 - Continuously excited dense granular gases in microgravity can develop spatial inhomogeneities of the particle distribution. Dynamical clustering is a phenomenon where a significant share of particles concentrate in strongly overpopulated regions. It is caused by a complex interplay between the energy influx and dissipation in collisions. The overall packing fraction, container geometry, and excitation parameters influence the gas-cluster transition. We perform Discrete Element Method (DEM) simulations for frictional spheres in a cuboid container and apply statistical criteria to the packing fraction profiles. Machine learning (ML) methods are used to study the dependence of the gas-cluster transition on system parameters. It is a promising alternative to predict the state of the system without the need for the time-consuming DEM simulations. We identify the best models for predicting the dynamical clustering of frictional spheres in a specific experimental geometry. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012012 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Pilgermann, Michael A1 - Werth, Sören A1 - Creutzburg, Reiner T1 - Towards sector specific security operation JF - Electronic Imaging KW - cybersecurity KW - information security KW - network security KW - IT security KW - Security Information Center KW - SOC KW - Security Information and Event Management KW - SIEM KW - security monitoring KW - health care KW - critical infrastructures KW - hospitals KW - HL7 KW - MLLP Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-254 SN - 2470-1173 SP - 254-1 EP - 254-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Pilgermann, Michael A1 - Bocklisch, Thomas A1 - Creutzburg, Reiner T1 - Conception and implementation of a course for professional training and education in the field of IoT and smart home security JF - Electronic Imaging KW - Internet of Things KW - IoT KW - Smart Home KW - Smart Home Security KW - Cybersecurity KW - Connected Home Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-277 SN - 2470-1173 SP - 277-1 EP - 277-8 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Pfeiffer, Thomas A1 - Dilip, Khadse Himanshu A1 - Suryawanshi, Raunak A1 - Kishnamurthy, Gnana Swaroop A1 - Téllez, Batcheva Domínguez A1 - Creutzburg, Reiner A1 - Hartmann, Michael T1 - Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms JF - Electronic Imaging KW - Covid-19 KW - aeroso KW - airflow visualization Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-039 SN - 2470-1173 SP - 39-1 EP - 39-15 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression T2 - Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024 N2 - We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the addition of the GCAN we obtain a geometry-aware pipeline for camera pose regression from RGB images only. CGAPoseNet employs Clifford Geometric Algebra to unify quaternions and translation vectors into a single mathematical object, the motor, which can be used to uniquely describe camera poses. CGAPoseNet solves the issue of balancing rotation and translation components in the loss function, and can obtain comparable results to other approaches without the need of expensive tuning of the loss function or additional information about the scene, such as 3D point clouds, which might not always be available. CGAPoseNet, however, like several approaches in the literature, only learns to predict motor coefficients, and it is unaware of the mathematical space in which predictions sit in and of their geometrical meaning. By leveraging recent advances in Geometric Deep Learning, we modify CGAPoseNet with a GCAN: proposals of possible motor coefficients associated with a camera frame are obtained from the InceptionV3 backbone, and the GCAN downsamples them to a single motor through a sequence of layers that work in G_ 4, 0. The network is hence geometry-aware, has multivector-valued inputs, weights and biases and preserves the grade of the objects that it receives in input. CGAPoseNet+ GCAN has almost 4 million fewer trainable parameters, it reduces the average rotation error by 41% and the average translation error by 8.8% compared to CGAPoseNet. Similarly, it reduces rotation and translation errors by 32.6% and 19.9%, respectively, compared to the best performing PoseNet strategy. CGAPoseNet+ GCAN reaches the state-of-the-art results on 13 commonly employed datasets. To the best of our knowledge, it is the first experiment in GCANs applied to the problem of camera pose regression. Y1 - 2024 U6 - https://doi.org/10.1109/WACV57701.2024.00646 SP - 6593 EP - 6603 PB - IEEE ER - TY - INPR A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - STAResNet: A Network in Spacetime Algebra to solve Maxwell's PDEs T2 - arXiv N2 - We introduce STAResNet, a ResNet architecture in Spacetime Algebra (STA) to solve Maxwell's partial differential equations (PDEs). Recently, networks in Geometric Algebra (GA) have been demonstrated to be an asset for truly geometric machine learning. In [1], GA networks have been employed for the first time to solve partial differential equations (PDEs), demonstrating an increased accuracy over real-valued networks. In this work we solve Maxwell's PDEs both in GA and STA employing the same ResNet architecture and dataset, to discuss the impact that the choice of the right algebra has on the accuracy of GA networks. Our study on STAResNet shows how the correct geometric embedding in Clifford Networks gives a mean square error (MSE), between ground truth and estimated fields, up to 2.6 times lower than than obtained with a standard Clifford ResNet with 6 times fewer trainable parameters. STAREsNet demonstrates consistently lower MSE and higher correlation regardless of scenario. The scenarios tested are: sampling period of the dataset; presence of obstacles with either seen or unseen configurations; the number of channels in the ResNet architecture; the number of rollout steps; whether the field is in 2D or 3D space. This demonstrates how choosing the right algebra in Clifford networks is a crucial factor for more compact, accurate, descriptive and better generalising pipelines. Y1 - 2024 UR - https://arxiv.org/pdf/2408.13619 SP - 1 EP - 17 PB - arXiv ER - TY - CHAP A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - GA-ReLU: an activation function for Geometric Algebra Networks applied to 2D Navier-Stokes PDEs T2 - ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, Österreich N2 - Many differential equations describing physical phenomena are intrinsically geometric in nature. It has been demonstrated how this geometric structure of data can be captured effectively through networks sitting in Geometric Algebra (GA) that work with multivectors, making them suitable candidates to solve differential equations. GA networks however, are still mostly uncharted territory. In this paper we focus on non-linearities, since applying them to multivectors is not a trivial task: they are generally applied in a point-wise fashion over each real-valued component of a multivector. This approach discards interactions between different elements of the multivector input and compromises the geometric nature of GA networks. To bridge this gap, we propose GA-ReLU, a GA approach to the rectified linear unit (ReLU), and show how it can improve the solution of Navier-Stokes PDEs. Y1 - 2024 UR - https://openreview.net/pdf?id=T54Hn1e98P SP - 1 EP - 6 ER - TY - CHAP A1 - Pepe, Alberto A1 - Buchholz, Sven A1 - Lasenby, Joan T1 - Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction T2 - Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen N2 - We employ Clifford Group Equivariant Neural Network (CGENN) layers to predict protein coordinates in a Protein Structure Prediction (PSP) pipeline. PSP is the estimation of the 3D structure of a protein, generally through deep learning architectures. Information about the geometry of the protein chain has been proven to be crucial for accurate predictions of 3D structures. However, this information is usually flattened as machine learning features that are not representative of the geometric nature of the problem. Leveraging recent advances in geometric deep learning, we redesign the 3D projector part of a PSP architecture with the addition of CGENN layers . CGENNs can achieve better generalization and robustness when dealing with data that show rotational or translational invariance such as protein coordinates, which are independent of the chosen reference frame. CGENNs inputs, outputs, weights and biases are objects in the Geometric Algebra of 3D Euclidean space, i.e. G3,0,0, and hence are interpretable from a geometrical perspective. We test 6 approaches to PSP and show that CGENN layers increase the accuracy in term of GDT scores by up to 2.1\%, with fewer trainable parameters compared to linear layers and give a clear geometric interpretation of their outputs. Y1 - 2024 UR - https://proceedings.mlr.press/v233/pepe24a/pepe24a.pdf SP - 1 EP - 7 PB - PMLR ER - TY - JOUR A1 - Oseev, Aleksandr A1 - Lucklum, Ralf A1 - Zubtsov, Mikhail A1 - Schmidt, Marc-Peter A1 - Mukhin, Nikolay V. A1 - Hirsch, Soeren T1 - SAW-Based Phononic Crystal Microfluidic Sensor—Microscale Realization of Velocimetry Approaches for Integrated Analytical Platform Applications JF - Sensors KW - phononic crystal KW - liquid sensor KW - ultrasonic velocimetry KW - μTAS Y1 - 2017 U6 - https://doi.org/10.3390/s17102187 VL - 17 IS - 10 SP - 2187 ER - TY - CHAP A1 - Orlowski, Maximilian A1 - Knauff, Emilia A1 - Marquardt, Florian T1 - Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs T2 - Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal N2 - This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use. Y1 - 2025 U6 - https://doi.org/10.5220/0013175600003890 SP - 695 EP - 706 PB - SCITEPRESS ER - TY - JOUR A1 - Oeppert, Luise A1 - Hartz, Tobias A1 - Wehner, Kathrin A1 - Schrader, Thomas A1 - Meier, Jens T1 - FHIR-Datenmodell zur Übermittlung von Tumordaten zwischen Krebsregistern und IQTIG JF - GMS Medizinische Informatik, Biometrie und Epidemiologie KW - Computer applications to medicine KW - Medical informatics KW - Internal medicine KW - Infectious and parasitic diseases Y1 - 2021 UR - https://doaj.org/article/dc0151fdba764800ac9c652e3ad4eb40 U6 - https://doi.org/10.3205/mibe000231 VL - 17 IS - Iss 4 PB - German Medical Science GMS Publishing House ER - TY - INPR A1 - Nitze, André T1 - Future-proofing Education: A Prototype for Simulating Oral Examinations Using Large Language Models N2 - This study explores the impact of Large Language Models (LLMs) in higher education, focusing on an automated oral examination simulation using a prototype. The design considerations of the prototype are described, and the system is evaluated with a select group of educators and students. Technical and pedagogical observations are discussed. The prototype proved to be effective in simulating oral exams, providing personalized feedback, and streamlining educators' workloads. The promising results of the prototype show the potential for LLMs in democratizing education, inclusion of diverse student populations, and improvement of teaching quality and efficiency. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2401.06160 SP - 1 EP - 6 PB - arXiv ER - TY - CHAP A1 - Möllmann, Klaus-Peter A1 - Regehly, Martin A1 - Vollmer, Michael T1 - Studying the transition from light emitting diodes to semiconductor lasers in applied physics laboratories T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 21-24 May 2019 T3 - Proceedings of SPIE - 1114312 KW - Optics education KW - semiconductor lasers KW - output characteristics KW - beam profile KW - microscopy KW - FTIR spectroscopy Y1 - 2019 U6 - https://doi.org/10.1117/12.2523387 SP - 1114312-1 EP - 1114312-9 CY - Quebec City, Quebec, Canada ER - TY - JOUR A1 - Mushunuri, Ashwini A1 - Adesoji, Oluyomi A1 - Krause, Roland A1 - May, Patrick A1 - Lerche, Holger A1 - Becker, Albert A1 - Grimm, Daniela A1 - Nothnagel, Michael A1 - Schulz, Herbert T1 - Genetic risk factor identification for common epilepsies guided by integrative omics data analysis JF - Epilepsia N2 - Objective Genetic generalized epilepsies (GGEs) comprise the most common genetically determined epilepsy syndromes, following a complex mode of inheritance. Although many important common and rare genetic factors causing or contributing to these epilepsies have been identified in the past decades, many features of the genetic architecture are still insufficiently understood. This study integrates genome-wide association study (GWAS) data from the International League Against Epilepsy Consortium on Complex Epilepsies with transcriptome-wide association studies to identify genes whose genetically regulated expression levels are associated with epilepsy. Methods To achieve this, we used multiple computational approaches, including MAGMA, a tool for gene analysis of GWAS data, and its derivatives E-MAGMA and H-MAGMA, to improve gene mapping accuracy by utilizing tissue-specific expression and chromatin interaction data. Furthermore, we developed ME-MAGMA to incorporate methylation quantitative trait loci data, providing insights into epigenetic factors. Results We identified a total of 897 false discovery rate-corrected (<.05) candidates. These include voltage-gated calcium channels, voltage-gated potassium channels, and other genes such as NPRL2, CACNB2, and KCNT1 associated with epilepsy pathogenesis that act as key players in neuronal communication and signaling in the brain. Significance In this study, we propose new candidate genes to expand the dataset of potential epilepsy-causing genes. Further research on these genes may enhance our understanding of the complex regulatory mechanisms underlying GGE and other types of epilepsy, potentially revealing targets for therapeutic intervention. Y1 - 2025 U6 - https://doi.org/10.1111/epi.70021 PB - Wiley ER - TY - JOUR A1 - Mukhin, Nikolay A1 - Sokolova, Irina A1 - Chigirev, Dmitry A1 - Rudaja, Lyudmila A1 - Lebedeva, Galina A1 - Kastro, Rene A1 - Bol’shakov, Maxim A1 - Schmidt, Marc-Peter A1 - Hirsch, Sören T1 - Composite Ferroelectric Coatings Based on a Heat-Resistant Polybenzoxazole Polymer Matrix JF - Coatings KW - lead zirconate titanate KW - poly(o-hydroxy amide) KW - 4,4-(hexafluoroisopropylidene) dianiline KW - 5,5-methylene bis(2-aminophenol) KW - poly(o-hydroxyamide) KW - composite ferroelectric coatings KW - thermal stability of dielectric properties Y1 - 2020 U6 - https://doi.org/10.3390/coatings10030286 VL - 10 IS - 3 SP - 286 PB - MDPI ER - TY - JOUR A1 - Mukhin, Nikolay A1 - Konoplev, Georgii A1 - Oseev, Aleksandr A1 - Schmidt, Marc-Peter A1 - Stepanova, Oksana A1 - Kozyrev, Andrey A1 - Dmitriev, Alexander A1 - Hirsch, Soeren T1 - Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models JF - Sensors KW - acoustic liquid sensor KW - shear bulk acoustic resonator KW - biosensor KW - structured sensor interface KW - electrical field manipulation KW - urine proteins characterisation Y1 - 2021 U6 - https://doi.org/10.3390/s21072555 VL - 21 IS - 7 SP - 2555 PB - MDPI ER - TY - JOUR A1 - Mukhin, N.V. A1 - Redka, D. N. A1 - Tarasov, S. A. A1 - Oseev, A. Yu. A1 - Hirsch, Sören T1 - Two-Dimensional Periodic Composite Structure for Acoustic Sensor of Volumetric Properties of Liquids T1 - Dvumernaja periodičeskaja kompozitnaja struktura dlja akustičeskogo datčika ob"emnych svojstv židkosti JF - Journal of the Russian Universities. Radioelectronics JF - Izvestija vysšich učebnych zavedenij Rossii : radioėlektronika Y1 - 2018 U6 - https://doi.org/10.32603/1993-8985-2018-21-1-56-63 IS - 1 SP - 56 EP - 63 ER - TY - JOUR A1 - Meister, Vera G. A1 - Hu, Wenxin A1 - Rizun, Mariia T1 - Knowledge Engineering Processes and Tools in Enterprise Environments - A Systematization Attempt JF - International Journal of Knowledge Engineering Y1 - 2018 U6 - https://doi.org/10.18178/ijke.2018.4.1.095 SN - 2382-6185 VL - 4 IS - 1 SP - 29 ER - TY - CHAP A1 - Meister, Vera G. T1 - Competency Acquisition in Applied Knowledge Engineering An Approach based on Learning from Errors T2 - Proceedings of the 2018 International Conference on Education Science and Social Development (ESSD 2018), Shanghai, China, in July 21-22, 2018 Y1 - 2018 SN - 978-94-6252-556-6 U6 - https://doi.org/10.2991/essd-18.2018.53 PB - Atlantis Press ER - TY - INPR A1 - Markgraf, Klaus A1 - Müller, Katja A1 - Henkel, Clara A1 - Flassig, Robert A1 - Janke, Christian A1 - Flassig, Peter T1 - Application of Explainable Artificial Intelligence (XAI) in Combination with Bootstrap to Improve Processes in Model-Based Aero-Engine Development N2 - In aerospace engineering, data-driven surrogate models are increasingly employed to mitigate the computational and temporal costs of simulations, numerical analyses, and experiments. Two major challenges accompany this trend. First, the training of surrogate models often requires a sufficient amount of data, the determination of which is inherently difficult. Second, these models often exhibit high complexity, limiting both the traceability of their outputs and the extraction of useful insights. Explainable Artificial Intelligence (XAI) methods have therefore emerged as promising tools to enhance the interpretability, explainability, and transparency of such models. In this work, a combination of the established Shapley Additive Explanations (SHAP) approach with a bootstrap-based method is investigated. The proposed framework provides insights into the contribution of individual features and enables an assessment of data sufficiency with respect to surrogate model performance. Building upon these findings, the Bootstrap-Informed Feature Importance (BIFI) method is proposed. BIFI offers a model-agnostic, robust identification of relevant features.The method is analyzed in the context of Design of Experiments (DOE) processes used for surrogate model construction. Evaluation on four synthetic datasets of increasing complexity, as well as a dataset from aero-engine development, demonstrates that BIFI-based DOEs can improve surrogate model quality measured in terms of R and MSE by up to 90%. Consequently, the proposed method enables more efficient utilization of simulations, computations, and experiments while reducing the required number of samples. Y1 - 2026 U6 - https://doi.org/10.21203/rs.3.rs-8590595/v1 SP - 1 EP - 23 ER - TY - CHAP A1 - Markgraf, Klaus A1 - Dietrich, Benjamin A1 - Müller, Katja A1 - Flassig, Robert A1 - Flassig, Peter T1 - FINEconcepts - Wissenstransfer und Energiesystemoptimierung mithilfe des digitalen Zwillings T2 - NWK, HS Harz, 2023 N2 - Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply. Y1 - 2023 UR - https://www.hs-harz.de/dokumente/extern/Forschung/NWK2023/Beitraege/FINEconcepts_-_Wissenstransfer_und_Energiesystemoptimierung_mithilfe_des_digitalen_Zwillings.pdf SP - 428 EP - 435 PB - HS Harz ER - TY - JOUR A1 - Marcus, von der Heyde A1 - Gerl, Armin A1 - Groß, Rainer A1 - Klapper, Frank A1 - Meister, Vera G. A1 - Knaden, Andreas A1 - Rehm, Simone T1 - Gemeinsame Digitalisierung durch die Entwicklung von IT-Governance-Strukturen auf Landesebene BT - Vergleich von Zielen und Steuerung der Hochschulkooperation von fünf Bundesländern in Deutschland JF - Wirtschaftsinformatik & Management Y1 - 2022 U6 - https://doi.org/10.1365/s35764-022-00393-8 PB - Gabler ER - TY - JOUR A1 - Loose, Harald T1 - Autonomous mobile robots for outdoor tasks JF - Mechanika N2 - This paper presents a low-cost hardware platform for outdoor robots, being suitable for education, industrial prototyping and private use. The choice of components is discussed, including platform, sensors and controller as well as GPS and image processing hardware. Furthermore, a software approach is proposed, allowing students and researchers to easily implement own algorithms for localization, navigation and the tasks to fulfill. Several robots can be integrated in a framework which connects various different hardware platforms, called the BOSPORUS network. Together with other components, they form an intelligent network for gathering sensor and image data, sensor data fusion, navigation and control of mobile platforms. The architecture of a reference platform on the campus of the Brandenburg University of Applied Sciences is presented and evaluated. Y1 - 2007 U6 - https://doi.org/10.5755/j02.mech.36230 VL - 68 IS - 6 SP - 70 EP - 73 PB - Kaunas University of Technology CY - Kaunas ER - TY - JOUR A1 - Linke, Christian A1 - Mantke, René A1 - Creutzburg, Reiner T1 - International Biobanking Interface Service – A Concept forHealth Sciences in the Digital Age JF - Electronic Imaging KW - biobank KW - digital healthcare KW - eHealth KW - mHealth KW - mobile healthcare Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-304 SN - 2470-1173 SP - 304-1 EP - 304-6 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Lindauer, Friederike A1 - Damus, Martha A1 - Winkel, Carmen A1 - Frosch, Katharina T1 - AI-Driven Communication Training for Cybersecurity with the Talk to Transform Simulator T2 - KI-Forum 2025 : KI in Forschung und Lehre an Hochschulen N2 - Effective communication skills are increasingly recognized as critical for leadership in digital transformation contexts. Recently, AI-Chatbots such as Talk to Transform (T2T) have been developed to enhance leadership competencies through interactive role-plays and feedback. This paper proposes their adaptation for cybersecurity training. We discuss the current landscape of cybersecurity training, highlight the importance of communication, and present T2T as an innovative approach to bridge this gap through chatbot-driven role-plays. Y1 - 2025 U6 - https://doi.org/10.25968/opus-3790 PB - HsH Applied Academics ER - TY - JOUR A1 - Liefold, Marius A1 - Wagner, Dennis A1 - Pokraka, Alexander A1 - Schrader, Thomas T1 - Low-Cost Medical Infrastructure: Triage as intelligent decision support JF - Electronic Imaging, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications Y1 - 2018 U6 - https://doi.org/10.2352/ISSN.2470-1173.2018.06.MOBMU-116 SP - 116-1 EP - 116-4 PB - Society for Imaging Science and Technology (IS&T) ER - TY - JOUR A1 - Levina, Olga A1 - Lindauer, Friederike A1 - Revina, Aleksandra T1 - A Participatory Workshop Design for Engaging Young People in IT Sustainability JF - Education Science N2 - This paper presents an approach to teaching and consolidating skills in the context of sustainability “Prototyping Sustainability–Designing Sustainable IT” (ProS), using the workshop format for participatory and creative learning. The workshop integrates principles from Education for Sustainable Development (ESD), transformative and experiential learning, participatory design, and critical reflection on the digital age to engage participants in critically examining the environmental, economic, and social impacts of digital technologies in the context of Sustainable Development Goals (SDGs). Structured in five modular phases, from self-reflection and knowledge activation to collaborative prototyping and peer evaluation, the workshop offers a hands-on, gamified learning experience centred on real-world sustainability challenges. Learners create user-centred paper-based prototypes for digital products using tactile materials, persona-driven scenarios and knowledge of sustainable product characteristics gained in the workshop. Outcome measurement is supported through pre- and post-workshop surveys, peer voting templates, and paper-based prototype artefacts, enabling rich insight into behavioural intentions and learning gains. The paper discusses the educational value and sustainability relevance of the workshop engaging young people in critically reflecting on the environmental, economic, and social consequences of digitalization. Finally, it highlights challenges and limitations and proposes directions for future research. Y1 - 2025 U6 - https://doi.org/10.3390/educsci15121570 IS - 15 (12) PB - MDPI ER - TY - JOUR A1 - Levina, Olga T1 - Von Ethik zu Recht : Der AI Act und seine Bedeutung für die Gestaltung von algorithmischen Systemen JF - Informatik aktuell Y1 - 2021 UR - https://www.informatik-aktuell.de/betrieb/kuenstliche-intelligenz/von-ethik-zu-recht.html#top SN - 2511-7564 PB - Alkmene Verlag ER - TY - CHAP A1 - Lepper, Markus A1 - Oehler, Michael A1 - Kinzler, Hartmuth A1 - Trancón y Widemann, Baltasar T1 - Mathematische Remodellierung zur Erforschung der exakten Semantik einfacher konventioneller Notationssysteme T2 - Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft für Musiktheorie Zürich 2019 (GMTH Proceedings 2019) N2 - Das Projekt semPart – Semantik der Partitur versucht, durch Übertragung von Methoden der Informatik auf die musikalische Notation exakte Aussagen über deren Semantik zu erzielen. Dies geschieht durch Remodellierung, also durch das Erstellen kleiner mathematischer Modelle, die jeweils das historisch-kulturell bestimmte Dekodieren von isolierten Parameter-Schichten eines Notates nachbilden. Erstes wichtiges Ergebnis ist, dass es in keinem Bereich jemals eine einzige ›richtige‹ Definition von Syntax und Semantik geben kann, sondern einen Katalog von vielfältigen theoretisch möglichen und in der Praxis auch angetroffenen Varianten. Diese sind durch ihre Remodellierung exakt identifizier- und benennbar; ihre Gesamtheit bildet ein Raster, durch das Notationsstile und -werkzeuge beschreib- und vergleichbar werden. Dieses Raster und die Remodelle sind besonders politisch wichtig, zur Förderung einer öffentlichen Diskussion von Notationssystemen und ihren Eigenschaften, da zunehmend die Arbeitsweise von digitalen Werkzeugen die notationelle Praxis zu überformen und zu filtrieren droht. The project semPart – Semantics of the Musical Score tries to clarify the semantics of musical notation by applying methods from informatics. This is done by remodelling, i. e., constructing small mathematical models that mimic the mentally and culturally determined processes taking place when decoding isolated parameters in musical notation. The first important result is that there can never be one single ‘correct’ definition of semantics in any area but rather a catalogue of many theoretically possible variants encountered in practice. Through their remodelling, these can be precisely identified and named; their totality constitutes a classification grid applicable to styles, corpora, single scores and digital tools such as editors or encoding standards. This grid and the remodels are of particular political importance in promoting a public discussion on notation systems and their characteristics, given that the increasing use of digital processing systems threatens to over-shape and narrow down notational practice. Y1 - 2023 UR - https://www.gmth.de/proceedings/artikel/257.aspx U6 - https://doi.org/10.31751/p.257 SP - 69 EP - 85 PB - Gesellschaft für Musiktheorie (GMTH) e.V. ER - TY - JOUR A1 - Lamshöft, Kevin A1 - Neubert, Tom A1 - Hielscher, Jonas A1 - Vielhauer, Claus T1 - Knock, knock, log: Threat analysis, detection & mitigation of covert channels in syslog using port scans as cover JF - Forensic Science International: Digital Investigation Y1 - 2022 U6 - https://doi.org/10.1016/j.fsidi.2022.301335 SN - 2666-2817 VL - 40 PB - Elsevier ER -