@misc{Hartmann, author = {Hartmann, Julia}, title = {Der Einfluss verschiedener Lehr-Lern-Formate auf das studentische Engagement und die Entwicklung von Future Skills bei Studierenden}, language = {de} } @misc{HartmannHecknerPlach, author = {Hartmann, Julia and Heckner, Markus and Plach, Ulrike}, title = {Einfluss studierendenzentrierter Lehrelemente auf die Entwicklung von Zukunftskompetenzen bei Studierenden}, language = {de} } @misc{Hartmann, author = {Hartmann, Julia}, title = {Developing future competencies by combining case-based learning, knowledge nuggets and gamification}, language = {en} } @misc{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Exploring Sustainability Priorities in Purchasing Decisions Based on Inverse Optimization}, series = {NAMA Conference 2023, 28.-29. Sep. 2023, Oldenburg}, journal = {NAMA Conference 2023, 28.-29. Sep. 2023, Oldenburg}, language = {en} } @misc{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Using Inverse Optimization to Discover Sustainability Priorities in Purchasing Decisions}, series = {International Conference on Operations Research 2023 // 29. Aug. - 01. Sep. 2023, Hamburg}, journal = {International Conference on Operations Research 2023 // 29. Aug. - 01. Sep. 2023, Hamburg}, language = {en} } @misc{Kellner, author = {Kellner, Florian}, title = {Visual decision support for the multi-objective supplier selection problem}, series = {International Conference on Multiple Objective Programming and Goal Programming (MOPGP), 30-31 October 2017, Metz, France}, journal = {International Conference on Multiple Objective Programming and Goal Programming (MOPGP), 30-31 October 2017, Metz, France}, language = {en} } @misc{Kellner, author = {Kellner, Florian}, title = {Multi-objective supplier portfolio configuration under supply risk and sustainability considerations}, series = {International Conference on Operations Research (OR2017), September 2017, Berlin}, journal = {International Conference on Operations Research (OR2017), September 2017, Berlin}, language = {en} } @misc{MaiwaldSchulzeSchmidtetal., author = {Maiwald, Frederik and Schulze, Julian and Schmidt, Michael and Hierl, Stefan}, title = {In-situ optical coherence tomography for spatio-temporal analysis of melt pool crystallization in absorber-free laser transmission welding of polymers}, series = {The 9th International Congress on Laser Advanced Materials Processing (LAMP2025), Ise-city, Mie-prefecture, Japan, June 10 to June 13, 2025}, journal = {The 9th International Congress on Laser Advanced Materials Processing (LAMP2025), Ise-city, Mie-prefecture, Japan, June 10 to June 13, 2025}, publisher = {Japan Laser Processing Society}, language = {en} } @misc{EilerWeberGerlesbergeretal., author = {Eiler, Julian and Weber, Stefan and Gerlesberger, Peter and Pl{\"o}chinger, Heinz and Schreiner, Rupert}, title = {Miniaturized Pirani vacuum sensor with active heat-loss compensation}, series = {Verhandlungen der Deutschen Physikalischen Gesellschaft e.V. (DPG), Regensburg, 16. - 21. M{\"a}rz 2025}, journal = {Verhandlungen der Deutschen Physikalischen Gesellschaft e.V. (DPG), Regensburg, 16. - 21. M{\"a}rz 2025}, publisher = {Deutsche Physikalische Gesellschaft e.V.}, issn = {2751-0522}, abstract = {Pirani sensors measure the thermal conductivity of the residual gas in a vacuum by creating a thermal gradient between a heated sensor element and a heat sink. The heat flux from the sensor element to the heat sink over the residual gas is a measure of the vacuum and can be determined by the electrical power applied. In addition to the heat flux over the gas, there are further energy losses from the heating structure due to radiation and parasitic heat fluxes via the suspensions of the sensor element. These losses reduce the sensitivity of the sensor. For this reason, a Micro-Pirani sensor in the shape of a microhotplate was developed that actively compensates the heat flux via the suspensions. This was achieved by placing additional heating structures on the suspensions, which interrupt the heat flow from the sensor element via the suspensions during operation. This active compensation improves the sensitivity at low pressures, enabling vacuum measurements from atmospheric pressure down to 10e-6 mbar.}, language = {en} } @misc{Obergriesser, author = {Obergrießer, Mathias}, title = {Digitale Kompetenzen im Bauwesen: BIM, Lean und KI}, series = {VSVI-Bayern: Seminar BIM im Verkehrswegebau, 20.05.2025, Unterschleißheim}, journal = {VSVI-Bayern: Seminar BIM im Verkehrswegebau, 20.05.2025, Unterschleißheim}, language = {de} } @misc{Appelt, author = {Appelt, Andreas}, title = {BIM - Masterplan in der Lehre}, series = {VSVI-Bayern: Seminar BIM im Verkehrswegebau, 20.05.2025, Unterschleißheim}, journal = {VSVI-Bayern: Seminar BIM im Verkehrswegebau, 20.05.2025, Unterschleißheim}, abstract = {Neben der Vermittlung von grundlegenden Kenntnissen, Fertigkeiten und Kompetenzen im Bereich der Verkehrswegeplanung sind k{\"u}nftig auch die Grundlagen des modellbasierten Planens und die Anwendung in den entsprechenden Softwarel{\"o}sungen zu vermitteln. Um diesem Umstand gerecht zu werden, wurden sowohl der Bachelor- als auch der Masterstudiengang Bauingenieurwesen an der OTH Regensburg neu strukturiert und die Themen Digitalisierung und Nachhaltigkeit im Rahmen von neu geschaffenen Schwerpunkten vertieft und in Modulen zu digitalen Kompetenzen {\"u}ber den gesamten Studienverlauf als Querschnittsthema implementiert. Um vorlesungsbegeleitend den Einsatz von digitalen Methoden zu f{\"o}rdern, wurde im Fachgebiet Straßenplanung / Straßenbau in den letzten Jahren ein durchg{\"a}ngiges Planungsprojekt einer fiktiven Ortsumfahrung entwickelt. Basierend auf realen Grundlagendaten (DGM, Rasterbilder, Achsdaten etc.) wurde die Reallaborsituation „Orstumfahrung Presseck" aufgebaut. Die Herausforderung, um die Ans{\"a}tze des BIM-Masterplans auch in der Lehre zu integrieren liegt in der Vermittlung einer neuen Arbeitsmethodik bei begrenztem zeitlichem Umfang im Rahmen der stark reglementierten Bachelorstudieng{\"a}nge. Der Ansatz, eines durchg{\"a}ngigen Projektes das mittels kurzer Lehrvideos und Anleitungen vorlesungsbegleitend zur Verf{\"u}gung gestellt wird, hat sich bew{\"a}hrt. Durch die konkrete Anwendung modellbasierter Methoden im Sinne einer „Technologie zum Anfassen" wird ein dauerhafter Lernerfolg sichergestellt. Voraussetzung zu diesem Vorgehen ist die stetige Aktualisierung der Unterlagen und die zuverl{\"a}ssige Verf{\"u}gbarkeit von Softwarel{\"o}sungen, was nur mit entsprechender personeller Ausstattung m{\"o}glich ist.}, language = {de} } @misc{WilsonBraunFriedl, author = {Wilson, Edith E. and Braun, Carina N. and Friedl, Manuel}, title = {Arbeitsengagement und Zufriedenheit in der HAW-Professur - Impulse f{\"u}r eine nachhaltige Personalentwicklung}, series = {Die Zukunft der Hochschule: Global, nachhaltig und inklusiv, 19. Jahrestagung der GfHf, 23.-25. September 2024, FernUniversit{\"a}t in Hagen}, journal = {Die Zukunft der Hochschule: Global, nachhaltig und inklusiv, 19. Jahrestagung der GfHf, 23.-25. September 2024, FernUniversit{\"a}t in Hagen}, abstract = {Hintergrund W{\"a}hrend Rekrutierungsaktivit{\"a}ten f{\"u}r HAW-Professuren sowohl wissenschaftlich (z.B. Braun \& Wilson, 2023) als auch im Zuge von Kampagnen (z.B. „Werden Sie Prof!"; „Die HAW-Professur") in den Fokus r{\"u}cken, findet die Personalentwicklung von bereits etablierten HAW-Professorinnen und -Professoren noch wenig Beachtung. Dies liegt auch daran, dass die fachliche und berufliche Weiterentwicklung oft in der Eigenverantwortung der Professorinnen/Professoren gesehen wird (Becker, 2020). Dabei k{\"o}nnen bis zur Pensionierung gut 25 Jahre im Beruf der HAW-Professur verbracht werden (durchschnittliches Alter bei Erstberufung nach eigener Erhebung: 40 Jahre). {\"U}ber diesen Zeitraum gilt es, Arbeitsengagement und berufliche Zufriedenheit zu bewahren. Aus diesem Grund stellt sich die Frage, ob und wie eine Personalentwicklung wirken kann, um Leistung und Engagement nachhaltig aufrechtzuerhalten. Forschungsfrage Die HAW-Professur setzt eine ausgepr{\"a}gte berufliche Kompetenz (Praxis-, Forschungs- und Lehrerfahrung) voraus und erm{\"o}glicht ein hohes Maß an Autonomie (Wilkesmann \& Lauer, 2021). Sie bietet daher optimale Voraussetzungen, um psychologische Grundbed{\"u}rfnisse im Sinne der Self-Determination Theory (Deci \& Ryan, 2000) zu erf{\"u}llen, welche wiederum ein erfolgreiches Wirken in der Arbeit erm{\"o}glichen. Im Rahmen einer deutschlandweiten Befragung von HAW-Professorinnen und -Professoren wurde deshalb der Frage nachgegangen, inwieweit Autonomie- und Kompetenzwahrnehmung und das Zugeh{\"o}rigkeitsgef{\"u}hl zur Hochschulgemeinschaft das Arbeitsengagement und die Zufriedenheit in der HAW-Professur f{\"o}rdern. Methodisches Vorgehen und Datengrundlage {\"U}ber 700 HAW-Professorinnen und Professoren beteiligten sich an einer Online-Befragung zum Thema „Karrierewege und Selbstbestimmung". Dabei wurden u.a. das Arbeitsengagement (Bakker \& Schaufeli, 2015) und die Zufriedenheit (B{\´e}rub{\´e} et al.,2007) erfasst. In Anlehnung an die Self-Determination Theory (Deci \& Ryan, 2000) wurden außerdem die Aspekte Autonomie- und Kompetenzwahrnehmung sowie soziale Eingebundenheit erhoben. Ergebnisse Die Studie liefert Hinweise, wie die Personalentwicklung f{\"u}r HAW-Professuren gestaltet werden kann, um Zufriedenheit und ein hohes Arbeitsengagement aufrechtzuerhalten. Sie lassen also R{\"u}ckschl{\"u}sse auf die Gestaltung einer zielgerichteten und nachhaltigen Personalentwicklung zu. Diese Forschung wird mit Mitteln des Bundesministeriums f{\"u}r Bildung und Forschung und des Landes Bayern als Teil des Projekts Zukunft akademisches Personal der OTH Regensburg (ZAP.OTHR) unter dem Programm „FH-Personal" gef{\"o}rdert.}, language = {de} } @misc{CapellmannWestner, author = {Capellmann, Dominik and Westner, Markus}, title = {ChatGPT in Software Engineering: Potentials, Challenges and Possible Applications for Unit Testing and Code Debugging}, series = {21st International Conference on Applied Computing 2024}, journal = {21st International Conference on Applied Computing 2024}, language = {en} } @misc{HeeseScherle, author = {Heese, Carl and Scherle, Nicolai}, title = {Corporate Citizenship als strategisches Kommunikationsinstrument unternehmerischer Krankenh{\"a}user}, series = {EUKO 2023: Europ{\"a}ische Kulturen in der Wirtschaftskommunikation (EUKO): Next Generation Communication: Kommunikation in einer ver{\"a}nderten Welt, 19.-21.10.2023, Luzern}, journal = {EUKO 2023: Europ{\"a}ische Kulturen in der Wirtschaftskommunikation (EUKO): Next Generation Communication: Kommunikation in einer ver{\"a}nderten Welt, 19.-21.10.2023, Luzern}, language = {de} } @misc{Dendorfer, author = {Dendorfer, Sebastian}, title = {Sturz- und Frakturpr{\"a}vention: Use it or lose it!}, series = {10 Jahre Alterstraumatologie Caritas Krankenhaus St. Josef Regensburg}, journal = {10 Jahre Alterstraumatologie Caritas Krankenhaus St. Josef Regensburg}, language = {de} } @misc{GschossmannDendorfer, author = {Gschoßmann, Lukas and Dendorfer, Sebastian}, title = {Personalized Rehabilitation after Total Knee Arthroplasty}, series = {32nd Annual Meeting of the European Orthopaedic Research Society (EORS 2024), 18 - 20 September 2024, Aalborg}, journal = {32nd Annual Meeting of the European Orthopaedic Research Society (EORS 2024), 18 - 20 September 2024, Aalborg}, language = {en} } @misc{NeidhartWeidlich, author = {Neidhart, Thomas and Weidlich, Ingo}, title = {Grundlagen zur statischen Berechnung mit ZFSV}, series = {Projektabschlussveranstaltung „Verbundvorhaben: EnEff:W{\"a}rme: FW-ZFSV 4.0"}, journal = {Projektabschlussveranstaltung „Verbundvorhaben: EnEff:W{\"a}rme: FW-ZFSV 4.0"}, language = {de} } @misc{MerkerBoehmZentner, author = {Merker, Lukas and B{\"o}hm, Valter and Zentner, Lena}, title = {A tensegrity-based elastic joint element}, series = {IFToMM WC 2023 - The 16th World Congress of the International Federation for the Promotion of Mechanism and Machine Science, 5-10 November, Tokyo, Japan}, journal = {IFToMM WC 2023 - The 16th World Congress of the International Federation for the Promotion of Mechanism and Machine Science, 5-10 November, Tokyo, Japan}, language = {en} } @misc{SpirklNeidhart, author = {Spirkl, Florian and Neidhart, Thomas}, title = {Vergleichende CO2-Bilanzierung von Rohrgrabenverf{\"u}llungen mit Sand und ZFSV}, volume = {2023}, pages = {40}, language = {de} } @misc{AdlerFoerstlSuessetal., author = {Adler, Ina and F{\"o}rstl, Nikolas and S{\"u}ß, Franz and Dendorfer, Sebastian}, title = {Biomechanical exposition of the factors influencing the pelvic floor muscle activity}, series = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, journal = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, abstract = {Introduction About 40 \% of the women worldwide suffer from Pelvic Floor Dysfunctions [1]. In previous studies, musculoskeletal simulations helped to understand and facilitate the complex issues of musculoskeletal disorders in several different branches [2, 3]. A fundamental prerequisite for the generation of these models is to have a basic understanding of the stresses acting on the pelvic floor. The aim of this study is to investigate the biomechanical factors influencing the activity of the pelvic floor muscles by establishing a parameterised model. Methods To identify the factors that affect the pelvic floor muscles, the process is divided into several stages. The first step is to investigate the loads acting on the pelvic floor. For this, a simplified sagittal cross-sectional model of the upper body is analysed. The discretization of the abdominal cavity is presented with resulting force vectors representing the organs in the abdominal and pelvic region, the tensile force of the structures that fixate the organs as well as the intraabdominal pressure. A second step is the examination of the basic mechanics of the pelvic floor muscles. As the functional anatomy of these muscles demonstrate differences compared to other muscle groups [4], the understanding of how they differ is crucial for the construction of musculoskeletal models. After a static examination of loads on a simplified muscle model, an extended model including the physiological properties of a muscle must be involved in the considerations. Therefore, the influence of parameters such as the ideal muscle strength and fibre length, as well as elasticity or passive stiffness of the elements must be taken into account. The influencing factors of the variables can be analysed in a simplified pelvic floor muscle model by systematically changing the parameters. Results The process of analysing the factors influencing the activity of the pelvic floor muscles follows two main strategies. The review of the effects of the whole body identifies the forces acting on the pelvic floor muscles and effect their activity. With the examination of the basic mechanics of a simplified pelvic floor muscle model a better understanding is achieved of how the pelvic floor muscles absorb the loads acting in the body. Discussion This process results in the main influence factors on the activity of the pelvic floor. The consequent parameters form the basis for a biomechanically justified construction of musculoskeletal simulation models of the pelvic floor. Nevertheless, it must be considered, that these mechanical studies represent simplifications of the reality. References 1. Wang et al, Front Public Health, 10:975829, 2022. 2. Bulat et al., Curr Sports Med Rep, 18(6):210-216, 2019 3. Melzner et al., Eur J Obstet Gynecol Reprod Biol, 264:306-313, 2021 4. Ashton-Miller et al., Ann N Y Acad Sci, 1101:266-96, 2007}, language = {en} } @misc{FoerstlAdlerSuessetal., author = {F{\"o}rstl, Nikolas and Adler, Ina and Suess, Franz and Čechov{\´a}, Hana and Jansov{\´a}, Magdalena and Cimrman, Robert and Vychytil, Jan and Dendorfer, Sebastian}, title = {Workflow for the development of a non-invasive feedback device to assess pelvic floor contractions}, series = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, journal = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, abstract = {Introduction Pelvic floor disorders affect about 40\% of women worldwide [1]. Pelvic floor muscle (PFM) training is both a preventive and a therapeutic intervention. Current PFM training devices are invasive and have little scientific evidence. The idea is to develop a noninvasive feedback device to assess adequate PFM contraction. Therefore, evidence-based female musculoskeletal models, non-invasive data acquisition, sensor technology and artificial intelligence (AI) will be combined. This work presents the workflow to achieve such a feedback device and describes the interaction of the technologies used. Methods Exercises that induce PFM contractions have been evaluated and defined. Motion capture of these exercises will provide input for female musculoskeletal models. A combination of biomechanical rigid body and FEM simulations will be used to estimate PFM contractions. In addition, a non-invasive sensor will measure pelvic floor activity. The simulated and measured data will be used to develop an AI model that provides feedback on PFM contractions based on non-invasive data collection. Results The AMMR (AnyBody Managed Model Repository) of the AnyBody modelling system (AMS, Aalborg, Denmark) serves as the initial model for performing inverse dynamic simulations of the exercises. To calculate the PFM forces, the full-body model must be supplemented with the relevant pelvic floor structures and a mass model of the internal organs. A modified abdominal pressure model must also be incorporated. The AMS calculates the PFM activities caused by the internal organ loads and the generated abdominal pressure during the exercises. The muscle activities are transferred to a FEM model of the female pelvic floor (SfePy, simple finite elements in Python). The identical pelvic floor structures were integrated into the FEM model as in the AMS. Active PFM contractions can be simulated using the FEM model. Movement of the coccyx due to PFM contractions has been reported in the literature [2,3]. Therefore, a noninvasive coccyx motion sensor will be developed to provide additional information on PFM contractions. The measured data (coccyx motion sensor, motion capture) and the simulation results of the models will be combined to create an AI feedback model using Python. The final feedback device will consist of the AI model and the developed coccyx motion sensor, which can reproduce the resulting PFM contractions based on the sensor data and simplified motion tracking. Discussion The creation of the AMS and the FEM model is a prerequisite for the development of the feedback device. The relevant structures in the models are located inside the body. This limits the ability to observe the structures during the exercises, which can lead to difficulties in model validation. The development of a user-friendly sensor with sufficient measuring accuracy of the coccyx motion is another challenge. Nevertheless, the workflow represents a promising approach to develop a noninvasive feedback system to assess PFM contraction. References 1. Wang et al, Front Public Health, 10:975829, 2022. 2. B{\o} et al, Neurourol Urodyn, 20:167-174, 2001. 3. Fujisaki et al, J Phys Ther Sci, 30:544-548, 2018. Acknowledgements This work was supported by the project no. BYCZ01-014 of the Program INTERREG Bavaria - Czechia 2021-2027.}, language = {en} } @misc{GschossmannSteinDendorfer, author = {Gschoßmann, Lukas and Stein, Leonhard and Dendorfer, Sebastian}, title = {Subject Specific Scaling Of Muscle Strengths In The Lower Extremity For Musculoskeletal Models}, series = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, journal = {ESB 2024, 29th Congress of the European Society of Biomechanics, 30 June-3 July 2024, Edinburgh, Scotland}, language = {en} }