TY - CHAP A1 - Carl, Ann-Kathrin A1 - Kirillov, Maxim A1 - Hochmann, David A1 - Quadrat, Eric T1 - Towards credible computational models: Application of a risk-based framework for establishing credibility T2 - Transactions on Additive Manufacturing Meets Medicine N2 - The use of computational modeling and simulation (CMS) as a tool for gaining insight into the technical performance and safety of medical devices has emerged continuously over the past years. However, to rely on information and decisions derived from model predictions, it is essential to establish model credibility for the specific context of use. Limited regulatory requirements and lack of consensus on the level of verification and validation activities required result in rare use of CMS as a source of evidence in the medical device approval process. The American Society of Mechanical Engineers (ASME) developed a risk-informed framework to establish appropriate credibility requirements of a computational model: the ASME V&V 40?2018 standard. This paper aims to outline the concepts of this standard and to demonstrate its application using an example from the orthotics field. The necessary steps to establish model credibility for a custom?made 3D printed wrist hand orthosis (WHO) are presented. It is shown that the credibility requirements of each verification and validation activity depend on model risk by applying two different contexts of use to the same computational model. KW - computational modeling and simulation KW - CMS KW - validation KW - V&V 40 KW - model credibility Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-173821 SN - 2699-1977 ER - TY - JOUR A1 - Klemm, Christian A1 - Becker, Gregor A1 - Tockloth, Jan N. A1 - Budde, Janik A1 - Vennemann, Peter T1 - The Spreadsheet Energy System Model Generator (SESMG): A tool for the optimization of urban energy systems JF - Journal of Open Source Software N2 - The Spreadsheet Energy System Model Generator (SESMG) is a tool for modeling and optimizing energy systems with a focus on urban systems. The SESMG is easily accessible as it comes with a browser-based graphical user interface, spreadsheets to provide data entry, and detailed documentation on how to use it. Programming skills are not required for the installation or application of the tool. The SESMG includes advanced modeling features such as the application of the multi-energy system (MES) approach, multi-objective optimization, model-based methods for reducing computational requirements, and automated conceptualization and result processing of urban energy systems with high spatial resolution. Due to its accessibility and the applied modeling methods, urban energy systems can be modeled and optimized with comparatively low effort. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-170845 SN - 2475-9066 VL - 8 IS - 89 SP - 5519 ER - TY - JOUR A1 - Nakabuye, Zaina A1 - Mayanja, Jamiah A1 - Bimbona, Sarah A1 - Wasserman, Michael T1 - Technology orientation and export performance: the moderating role of supply chain agility JF - Modern Supply Chain Research and Applications N2 - Purpose The purpose of this paper is to investigate the relationships between technology orientations and export performance of small and medium-sized enterprises (SMEs). Design/methodology/approach A quantitative research design was adopted for this study. The paper formulates hypotheses from the literature review. These hypotheses are tested using structural equation modeling with data collected from 231 SMEs in Uganda. Data were analyzed using SPSS version 23 and AMOS. Findings The findings of this study showed technology orientation has a positive and significant relationship with the performance of Ugandan SMEs and that supply chain agility moderates technology orientation and export performance. Research limitations/implications The study discusses the findings, advances limitations and managerial implications. It also suggests future research avenues. It proposes some recommendations to help Ugandan SMEs to form flexible supply chains, use the latest technology and create strong relationship ties with their partners in the supply chain. Practical implications The study suggests that managers of Ugandan SMEs should use the latest technology in production, marketing, logistics and supply chain management which will enable them to respond quickly to customer tastes and preferences leading to higher levels of export performance. Originality/value This study contributes to the literature on strategic management showing the reliability of scales used and the confirmatory of the factor structure. This study shows that in strategic management technology, orientation is critical in increasing export performance. This study has extended the resource-based view (RBV) and dynamic capabilities theories. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-174624 SN - 2631-3871 VL - 5 IS - 4 SP - 230 EP - 264 ER - TY - JOUR A1 - Siering, Nils A1 - Grüning, Helmut T1 - Stormwater Tree Pits for Decentralized Retention of Heavy Rainfall JF - Water N2 - Stormwater tree pits with storage elements enable the irrigation of urban trees and can potentially act as decentralized rainwater retention basins. This paper mainly focuses on analyzing this potential. Field tests were conducted to investigate the irrigation behavior and the storage effect of a storm water tree pit system using Perl hoses as irrigation elements over a period of two years. The rainfall, storage volumes, and soil moisture within the employed planting pit were measured. With the help of system modeling, the retention ability of the storm water tree pit system was analyzed. The available storage volume was sufficient to irrigate trees for several days. During the measurement period, about 15% of the inflowing rainwater was fed to the root zone of the tree. With practical storage volumes of 200 to 300 m3/ha, a remarkable amount of water from heavy rainfall could be completely stored, thus significantly reducing the risk of flooding. The retention effect and irrigation behavior largely depend on the soil conditions and the technical possibilities of the equipment supplying the root area (in this case, Perl hoses). Further investigations are required to determine the influence on the growth conditions of trees and optimize of the system for discharge into the root zone. KW - stormwater tree pits KW - decentralized storm water retention system Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-177201 SN - 2073-4441 VL - 2023 / 15 IS - Water 2023, 15, 2987 SP - 1 EP - 16 ER - TY - CHAP A1 - Dütthorn, Nadin ED - Von Gahlen-Hoops, Wolfgang ED - Grenz, Katharina T1 - Serious Games im Schlaglicht pflegedidaktischer Ansprüche T2 - Pflegedidaktik im Überblick - Zwischen Transformation und Diffussion Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-164573 SN - 78-3-8376-6455-3 SP - 49 EP - 68 PB - Transcript ER - TY - JOUR A1 - Fisher, Sandra A1 - Bonaccio, Silvia A1 - Connelly, Catherine T1 - Reactions of Applicants with Disabilities to Technology-Enabled Recruitment and Selection: A Research Agenda JF - International Journal of Selection and Assessment Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-177102 ER - TY - JOUR A1 - Müller, Carsten T1 - Personality Traits and Physical Activity: Insights from German University Students JF - European Journal of Investigation in Health, Psychology and Education N2 - This study explores the intriguing relationship between personality traits, self-rated fitness (SRF), and physical activity (PA) variables among German university students (N = 4244) and sheds light on the impact of personality on adherence to PA guidelines. Employing an online cross-sectional study, the short-form of the Big Five Inventory-2 assessed five domains of personality traits (Extraversion, Negative Emotionality, Agreeableness, conscientiousness, and Open-Mindedness). PA, including sitting time, was assessed using the International Physical Activity Questionnaire (short-form). SRF and muscle-strengthening activities (MSA) were assessed with one item each. Multiple linear and logistic regression analyses examined associations of individual personality trait domains and all domains combined with SFR, PA variables, and adherence to PA guidelines, controlling for sociodemographic, behavioral, and (mental) health covariates. Most reliably, Extraversion and Conscientiousness revealed positive associations with PA variables, while Negative Emotionality yielded inverse relationships with PA variables. For instance, each unit increase in Extraversion corresponded to an additional 17 min of weekly MSA. On the contrary, daily sitting time was unrelated to personality. Of note, high Open-Mindedness was associated with lower odds for adhering to current PA guidelines. The findings have implications for developing targeted interventions that promote a physically active lifestyle and support students’ well-being and academic success. KW - five factor model KW - health psychology KW - exercise KW - public health KW - physical activity guidelines Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-168729 VL - 13 IS - 8 SP - 1423 EP - 1440 ER - TY - JOUR A1 - Sommer, Philipp T1 - Open-Power System Modelling - A Review of Existing Methods and Models JF - Educational Journal of Renewable Energy Short Reviews N2 - This review paper presents a short overview of current power system modelling tools especially used for analysing energy and electricity systems for the supply and demand sector. The main focus of this review lies on open source tools and models which are written and used in the programming language “Python”. The modelling tools are represented in a comprehensive table with key information. Five modelling tools with an open source license can be filtered out. The modelling tool PyPSA can be considered as a high performing tool especially as the gap between power system analysis tool (PSAT) and energy system modelling tool. T3 - EGU Master Journal of Renewable Energy Short Reviews - 2023_04 KW - energy system modelling KW - grid modelling KW - power system modelling KW - open source KW - renewable energy Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-172636 SP - 21 EP - 26 ER - TY - JOUR A1 - Klemm, Christian A1 - Wiese, Frauke A1 - Vennemann, Peter T1 - Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution JF - Applied Energy N2 - Local and regional energy systems are becoming increasingly entangled. Therefore, models for optimizing these energy systems are becoming more and more complex and the required computing resources (run-time and random access memory usage) are increasing rapidly. The computational requirements can basically be reduced solver-based (mathematical optimization of the solving process) or model-based (simplification of the real-world problem in the model). This paper deals with identifying how the required computational requirements for solving optimization models of multi-energy systems with high spatial resolution change with increasing model complexity and which model-based approaches enable to reduce the requirements with the lowest possible model deviations. A total of 12 temporal model reductions (reduction of the number of modeled time steps), nine techno-spatial model reductions (reduction of possible solutions), and five combined reduction schemes were theoretically analyzed and practically applied to a test case. The improvement in reducing the usage of computational resources and the impact on the quality of the results were quantified by comparing the results with a non-simplified reference case. The results show, that the run-time to solve a model increases quadratically and memory usage increases linearly with increasing model complexity. The application of various model adaption methods have enabled a reduction of the run-time by over 99% and the memory usage by up to 88%. At the same time, however, some of the methods led to significant deviations of the model results. Other methods require a profound prior knowledge and understanding of the investigated energy systems to be applied. In order to reduce the run-time and memory requirements for investment optimization, while maintaining good quality results, we recommend the application of (1) a pre-model that is used to (1a) perform technological pre-selection and (1b) define reasonable technological boundaries, (2) spatial sub-modeling along network nodes, and 3) temporal simplification by only modeling every nth day (temporal slicing), where at least 20% of the original time steps are modeled. Further simplifications such as spatial clustering or larger temporal simplification can further reduce the computational effort, but also result in significant model deviations. KW - energy system model KW - model-based KW - run-time KW - memory usage KW - multi-energy system Y1 - 2023 U6 - http://dx.doi.org/10.1016/j.apenergy.2022.120574 SN - 0306-2619 VL - 334 SP - 120574 ER - TY - JOUR A1 - Koskinen, Iina A1 - Stolt, Minna A1 - Tram Widmer, Christine A1 - Pernica, Katrin A1 - Dütthorn, Nadin A1 - Groddeck, Luisa A1 - Lunddahl Bager, Ida A1 - Finn, Yvonne A1 - Smyth, Siobhan A1 - Virtanen, Heli T1 - Methodological approaches and competence areas of nursing students in virtual reality simulation research – A scoping review JF - Nurse Education Today Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-174771 VL - 133 SP - 106033 ER -