@misc{12389,
  abstract     = {{Ressourcenverbrauch, CO2-Fußabdruck und Abfallaufkommen sind zentrale Themen bei der nachhaltigen Entwicklung der Bauwirtschaft. Besonders mit einem Gebäudeabbruch geht ein enormer Ressourcen- und Energieverlust einher. Diese Arbeit fokussiert den Abbruchprozess am Beispiel einer öffentlichen Verwaltung und analysiert die Möglichkeiten dieser, Kreisläufe von Bauteilen und -materialien in der lokalen Bauwirtschaft zu fördern. 
Zunächst wurde der IST-Prozess für einen Abbruch von Gebäuden am Beispiel des Kreis Lippe aufgenommen und Schwachstellen für die Wiedereinbringung von Bauteilen und -materialien identifiziert. Danach wurden Best Practice Ansätze von öffentlichen Verwaltungen in Deutschland recherchiert und anschließend dies um den europäischen Raum erweitert. Der letzte Teil der Analyse bezieht sich auf das RE-BUILD-OWL Projekt, mit welchem der Kreis Lippe plante eine Vorreiterrolle in zirkulärem Bauen einzunehmen, und wie die Projektergebnisse die Wiedereinbringung von Bauteilen und -materialien im Rückbauprozess positiv beeinflussen können. 
Es hat sich gezeigt, dass sich die Best Practice und die Projektergebnisse positiv auf die Schwachstellen des Abbruchprozesses auswirken können. Konkret wurden für den Kreis Lippe vier Handlungsempfehlungen formuliert. 1. Wissensaufbau: Zwar wurde deutlich, dass bei Einzelpersonen großes Fachwissen beseht, ein Austausch zwischen den Mitarbeitenden bestand jedoch nicht ausreichend. Außerdem besteht auch Bedarf an externen Schulungen geschult/ Sensibilisierung. 2. Digitalisierungsstrategie: Langfristig deutet sich im Bausektor ein Wandel zur Nutzung von Building Information Modeling ab. Es wird empfohlen, diesen Wandel im Kreis Lippe vorzubereiten, um die Mitarbeitenden in dem Wandel mitzunehmen und diese Veränderung proaktiv anzugehen. 3. Aktive lokale Marktgestaltung: Der lokale Markt lässt sich durch die Erhöhung der Nachfrage von verfügbaren Sekundärmaterialien und der Erhöhung des Angebotes von verfügbaren Sekundärmaterialien beeinflussen. Wenn zusätzlich innovative Technologien in der Region gefördert werden, lassen sich langfristig Materialkreisläufe entwickeln. 4. Baustoff- und Materialdistribution: Diese Handlungsempfehlung gilt als Teil der Erhöhung des Sekundärmaterialangebots. Um die Angebotserhöhung der Sekundärbauteile und -materialien zu bewerkstelligen, wurden zwei Optionen vorgeschlagen. Zum einen kann die Fremdleistung der Identifizierung und Distribution eingekauft werden, zum anderen ist eine interne Umsetzung mit Aufbau einer Bauteil- und Materialbörse möglich. Wichtig ist in beiden Schritten, dass vor einem Abbruch ein Audit des Gebäudes und eine Klassifizierung der Bauteile und -materialien auf Wiederverwendbarkeit durchgeführt wird. Eine mögliche Umsetzung der Veränderungen wurden in einer beispielhaften SOLL-Prozess-Darstellung skizziert. 
Die Ergebnisse dieser Arbeit zeigen das Potenzial sowie konkrete Schritte auf, die der Kreis Lippe hat, um Bauteile und -materialien in einem Kreislauf zu behalten. Die Best Practice Analyse ist nicht spezifisch für den Kreis Lippe durchgeführt worden, weshalb die Ergebnisse zusätzlich für einen allgemein übertragbaren Erkenntnisgewinn zur Verfügung stehen. Auch andere öffentliche Verwaltungen können anhand der Ergebnisse dieser Arbeit Handlungsschritte ableiten. }},
  author       = {{Steinkuhl, Anika}},
  keywords     = {{Zirkuläres Bauen, Kreislaufwirtschaft, Bauwirtschaft, Nachhaltiges Bauen, Materialkreisläufe, BIM, Building Information Modeling, construction industry, circular economy, sustainability, sustainable construction, circular construction, material cycles}},
  pages        = {{80}},
  publisher    = {{Hochschule Bielefeld}},
  title        = {{{Entwicklung strategischer Handlungsempfehlungen für die Förderung der Kreislaufwirtschaft beim Rückbau öffentlicher Gebäude}}},
  doi          = {{10.25644/rs7s-yc91}},
  year         = {{2024}},
}

@misc{12855,
  abstract     = {{Global warming is shifting the thermal dynamics of lakes, with resulting climatic variability heavily affecting their mixing dynamics. We present a dual ensemble workflow coupling climate models with lake models. We used a large set of simulations across multiple domains, multi‐scenario, and multi GCM‐ RCM combinations from CORDEX data. We forced a set of multiple hydrodynamic lake models by these multiple climate simulations to explore climate change impacts on lakes. We also quantified the contributions from the different models to the overall uncertainty. We employed this workflow to investigate the effects of climate change on Lake Sevan (Armenia). We predicted for the end of the 21st century, under RCP 8.5, a sharp increase in surface temperature  and substantial bottom warming , longer stratification periods (+55 days) and disappearance of ice cover leading to a shift in mixing regime. Increased insufficient cooling during warmer winters points to the vulnerability of Lake Sevan to climate change. Our workflow leverages the strengths of multiple models at several levels of the model chain to provide a more robust projection and at the same time a better uncertainty estimate that accounts for the contributions of the different model levels to overall uncertainty. Although for specific variables, for example, summer bottom temperature, single lake models may perform better, the full ensemble provides a robust estimate of thermal dynamics that has a high transferability so that our workflow can be a blueprint for climate impact studies in other systems.}},
  author       = {{Shikhani, Muhammed and Feldbauer, Johannes and Ladwig, Robert and Mercado‐Bettín, Daniel and Moore, Tadhg N. and Gevorgyan, Artur and Misakyan, Amalya and Mi, Chenxi and Schultze, Martin and Boehrer, Bertram and Shatwell, Tom and Barfus, Klemens and Rinke, Karsten}},
  booktitle    = {{Water resources research : an AGU journal}},
  issn         = {{1944-7973}},
  keywords     = {{multi model ensemble (MME), CORDEX, LakeEnsemblR, lake modeling, climate change impacts, variance decomposition}},
  number       = {{11}},
  publisher    = {{American Geophysical Union (AGU)}},
  title        = {{{Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan}}},
  doi          = {{10.1029/2023wr036511}},
  volume       = {{60}},
  year         = {{2024}},
}

@phdthesis{12863,
  abstract     = {{This doctoral thesis critically examines green space characteristics and their proximity to residents in their ability to help reduce the global disease burden of non-communicable diseases. By dissecting three pivotal pathways of theorized green space health effects through increased physical activity, increased social cohesion, and reduced air pollution, the thesis aims to provide new insights into which green space characteristics drive these relationships and in which distance they occur. To achieve these aims, this thesis develops reporting guidelines for the research field, a QGIS script for automatization of green space indicator development and uses two complementary sources for data collection. It builds on the self-reported data on physical activity, social cohesion, air pollution, health and mental health from the URBiNAT project and its case studies in the four European satellite neighbourhoods Nantes-Nord (France), Porto-Campanhã (Portugal), Sofia-Nadezhda (Bulgaria), and Høje-Taastrup (Denmark) and complements it with a rigorous spatial analysis. This enabled a rigorous sensitivity analysis based on up to 135 structural equation models per pathway. The results of this doctoral research revealed distinct green space characteristics and proximities that drive each pathway, including thresholds where these associations disappear or even change direction. It concludes that interconnected, multi-use green corridors are more beneficial than isolated patches for all space strategies to shift focus from mere ratios to green mobility infrastructures. Although rooted primarily in European contexts and of a cross-sectional nature, the doctoral research provides new evidence for urban planning and public health. It emphasizes the practical implications of how to design green spaces to address health concerns. The results not only resonate with the WHO's Urban Health Research Agenda but also provide tangible recommendations for a healthier human habitat.}},
  author       = {{Cardinali, Marcel}},
  isbn         = {{978-94-6366-849-1}},
  issn         = {{2212-3202}},
  keywords     = {{Health, Green Space, Green Infrastructure, Well-being, Structural Equation Modeling}},
  pages        = {{312}},
  publisher    = {{A+BE}},
  title        = {{{Green Health. Examining the role of green space characteristics and their proximity in green space health pathways}}},
  doi          = {{10.71690/ABE.2024.09}},
  volume       = {{9}},
  year         = {{2024}},
}

@misc{12223,
  abstract     = {{Deforestation is currently a widespread phenomenon and a growing environmental concern in the era of rapid climate change. In temperate regions, it is challenging to quantify the impacts of deforestation on the catchment dynamics and downstream aquatic ecosystems such as reservoirs and disentangle these from direct climate change impacts, let alone project future changes to inform management. Here, we tackled this issue by investigating a unique catchment-reservoir system with two reservoirs in distinct trophic states (meso‑ and eutrophic), both of which drain into the largest drinking water reservoir in Germany. Due to the prolonged droughts in 2015–2018, the catchment of the mesotrophic reservoir lost an unprecedented area of forest (exponential increase since 2015 and ca. 17.1% loss in 2020 alone). We coupled catchment nutrient exports (HYPE) and reservoir ecosystem dynamics (GOTM-WET) models using a process-based modeling approach. The coupled model was validated with datasets spanning periods of rapid deforestation, which makes our future projections highly robust. Results show that in a short-term time scale (by 2035), increasing nutrient flux from the catchment due to vast deforestation (80% loss) can turn the mesotrophic reservoir into a eutrophic state as its counterpart. Our results emphasize the more prominent impacts of deforestation than the direct impact of climate warming in impairment of water quality and ecological services to downstream aquatic ecosystems. Therefore, we propose to evaluate the impact of climate change on temperate reservoirs by incorporating a time scale-dependent context, highlighting the indirect impact of deforestation in the short-term scale. In the long-term scale (e.g. to 2100), a guiding hypothesis for future research may be that indirect effects (e.g., as mediated by catchment dynamics) are as important as the direct effects of climate warming on aquatic ecosystems.}},
  author       = {{Kong, Xiangzhen and Ghaffar, Salman and Determann, Maria and Friese, Kurt and Jomaa, Seifeddine and Mi, Chenxi and Shatwell, Tom and Rinke, Karsten and Rode, Michael}},
  booktitle    = {{Water research : a journal of the International Water Association}},
  issn         = {{1879-2448}},
  keywords     = {{Deforestation, Climate change, Temperate regions, Reservoir, Eutrophication, Process-based modeling}},
  number       = {{8}},
  publisher    = {{Elsevier BV}},
  title        = {{{Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change}}},
  doi          = {{10.1016/j.watres.2022.118721}},
  volume       = {{221}},
  year         = {{2022}},
}

@misc{12814,
  abstract     = {{Plug-in hybrid electric vehicles (PHEVs) are developed to reduce fuel consumption and the emission of carbon dioxide. Common powertrain configurations of PHEVs (i.e., the configuration of the combustion engine, electric motor, and transmission) can be operated either in series, parallel, or power split hybrid mode, whereas powertrain configurations with multimode transmissions enable switching between those modes during vehicle operation. Hence, depending on the current operation state of the vehicle, the most appropriate mode in terms efficiency can be selected. This, however, requires an operating strategy, which controls the mode selection as well as the torque distribution between the combustion engine and electric motor with the aim of optimal battery depletion and minimal fuel consumption. A well-known approach is the equivalent consumption minimization strategy (ECMS). It can be applied by using optimizations based on a prediction of the future driving behavior. Since the outcome of the ECMS depends on the quality of this prediction, it is crucial to know how accurate the predictions must be in order to obtain acceptable results. In this contribution, various prediction methods and real-time capable ECMS implementations are analyzed and compared in terms of the achievable fuel economy. The basis for the analysis is a holistic model of a state-of-the-art PHEV powertrain configuration, comprising the multimode transmission, corresponding powertrain components, and representative real-world driving data.}},
  author       = {{Geng, Stefan and Schulte, Thomas and Maas, Jürgen}},
  booktitle    = {{Applied Sciences}},
  issn         = {{2076-3417}},
  keywords     = {{PHEV, ECMS, multimode transmission, optimization, powertrain modeling}},
  number       = {{6}},
  publisher    = {{MDPI AG}},
  title        = {{{Model-Based Analysis of Different Equivalent Consumption Minimization Strategies for a Plug-In Hybrid Electric Vehicle}}},
  doi          = {{10.3390/app12062905}},
  volume       = {{12}},
  year         = {{2022}},
}

@misc{12230,
  abstract     = {{Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of five different vertical one-dimensional hydrodynamic lake models (FLake, GLM, GOTM, Simstrat, MyLake). The package requires input in a standardised format and a single configuration file. LakeEnsemblR formats these files to the input required by each model, and provides functions to run and calibrate the models. The outputs of the different models are compiled into a single file, and several post-processing operations are supported. LakeEnsemblR's workflow standardisation can simplify model benchmarking and uncertainty quantification, and improve collaborations between scientists. We showcase the successful application of LakeEnsemblR for two different lakes.}},
  author       = {{Moore, Tadhg N. and Mesman, Jorrit P. and Ladwig, Robert and Feldbauer, Johannes and Olsson, Freya and Pilla, Rachel M. and Shatwell, Tom and Venkiteswaran, Jason J. and Delany, Austin D. and Dugan, Hilary and Rose, Kevin C. and Read, Jordan S.}},
  booktitle    = {{Environmental modelling & software with environment data news}},
  issn         = {{1873-6726}},
  keywords     = {{Ensemble modeling, Vertical one-dimensional lake model, R package, Calibration, Thermal structure, Hydrodynamics}},
  publisher    = {{Elsevier BV}},
  title        = {{{LakeEnsemblR: An R package that facilitates ensemble modelling of lakes}}},
  doi          = {{10.1016/j.envsoft.2021.105101}},
  volume       = {{143}},
  year         = {{2021}},
}

@misc{8326,
  abstract     = {{Gamification is a widely used way of increasing motivation and fun in the use of systems that are not games. By outlining critical aspects in developing gamified systems, we adapted the modelling technique event storming in the context of a special case study where a gamified, collaborative platform was developed. For this purpose, the relationship of event storming and spatial hypertext has been worked out and an event storming extension has been introduced based on spatial hypertext principles. With respect to the case study and further insights in the academic context, we discuss how the emerging nature of event storming could benefit from a specialized spatial hypertext tool.}},
  author       = {{Grimm, Valentin and Rubart, Jessica}},
  booktitle    = {{Proceedings of the 4th international Workshop on Human Factors in Hypertext (HUMAN’21)}},
  editor       = {{Rubart, Jessica and Atzenbeck, Claus}},
  isbn         = {{978-1-4503-8560-2}},
  keywords     = {{Spatial Hypertext, Gamification, Event Storming, System Modeling, Collaborative Modeling, Gamified System}},
  location     = {{Virtual Event, Ireland}},
  pages        = {{3--10}},
  publisher    = {{ACM Press}},
  title        = {{{Modelling Gamified Systems with Event Storming Augmented by Spatial Hypertext}}},
  doi          = {{10.1145/3468143.3483927}},
  year         = {{2021}},
}

@misc{12231,
  abstract     = {{In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more investigation of these controls. We investigated the mechanisms regulating a massive winter diatom bloom in a temperate lake. High frequency data and process-based lake modeling demonstrated that phytoplankton growth in winter was dually controlled by light and temperature, rather than by light alone. Water temperature played a further indirect role in initiating the bloom through ice-thaw, which increased light exposure. The bloom was ultimately terminated by silicon limitation and sedimentation. These mechanisms differ from those typically responsible for spring diatom blooms and contributed to the high peak biomass. Our findings show that phytoplankton growth in winter is more sensitive to temperature, and consequently to climate change, than previously assumed. This has implications for nutrient cycling and seasonal succession of lake phytoplankton communities. The present study exemplifies the strength in integrating data analysis with different temporal resolutions and lake modeling. The new lake ecological model serves as an effective tool in analyzing and predicting winter phytoplankton dynamics for temperate lakes.}},
  author       = {{Kong, Xiangzhen and Seewald, Michael and Dadi, Tallent and Friese, Kurt and Mi, Chenxi and Boehrer, Bertram and Schultze, Martin and Rinke, Karsten and Shatwell, Tom}},
  booktitle    = {{Water research : a journal of the International Water Association}},
  issn         = {{1879-2448}},
  keywords     = {{Winter diatom bloom, High frequency monitoring, Lake modeling, Light limitation, Temperature}},
  publisher    = {{Elsevier BV}},
  title        = {{{Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling}}},
  doi          = {{10.1016/j.watres.2020.116681}},
  volume       = {{190}},
  year         = {{2020}},
}

@misc{705,
  author       = {{Schrewe, Manuela}},
  keywords     = {{3D Modeling, Character Design, Concept Art, Spiel, Unreal Engine 4}},
  pages        = {{81}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{IJÓMA – Die Erstellung eines Spielekonzepts in den Produktionsschritten Concept Art | Character Design | Level- \& Gameplay Design 3D Modeling | Umsetzung in Unreal Engine 4}}},
  year         = {{2018}},
}

@inproceedings{580,
  abstract     = {{Additive Manufacturing (AM) is increasingly used to design new products. This is possible due to the further development of the AM-processes and materials. The lack of quality assurance of AM built parts is a key technological barrier that prevents manufacturers from adopting. The quality of an additive manufactured part is influenced by more than 50 parameters, which make process control difficult. Current research deals with using real time monitoring of the melt pool as feedback control for laser power. This paper illustrates challenges and opportunities of applying statistical predictive modeling and unsupervised learning to control additive manufacturing. In particular, an approach how to build a feedforward controller will be discussed.}},
  author       = {{Scheideler, Eva and Ahlemeyer-Stubbe, Andrea}},
  booktitle    = {{	 Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy }},
  editor       = {{Padoano, Elio and Villmer, Franz-Josef}},
  isbn         = {{978-3-946856-01-6}},
  keywords     = {{Additive manufacturing, Process control, Predictive modeling, Predictive control}},
  location     = {{Pordenone, Italy}},
  number       = {{1}},
  pages        = {{3--12}},
  title        = {{{Quality Control of Additive Manufacturing Using Statistical Prediction Models}}},
  volume       = {{2017}},
  year         = {{2017}},
}

@misc{12242,
  abstract     = {{Hutchinson and Löffler's (1956) classification of lakes based on the seasonal thermal mixing regime has become a cornerstone of any analysis of lakes as elements of the earth surface. Until now however the lake classification has lacked a physically sound quantitative criterion distinguishing between two fundamental lake types: thermally stratified during a large portion of the year (mono- and dimictic) and predominantly mixed to the bottom (polymictic). Using the mechanistic balance between potential and kinetic energy we review the different formulations of the Richardson number to derive a generalized scaling for seasonal stratification in a closed lake basin. The scaling parameter is the critical mean basin depth, Hcrit, that delineates lakes that mix regularly from those that stratify seasonally based on lake water transparency, lake length, and an annual mean estimate for the Monin-Obukhov length. We validate the scaling on available data of lakes worldwide using logistic regression. The scaling criterion consistently described the mixing regime significantly better than either the conventional unbounded basin scaling or a simple depth threshold. Thus, the generalized scaling is universal for freshwater lakes and allows the seasonal mixing regime to be estimated without numerically solving the heat transport equations.}},
  author       = {{Kirillin, G. and Shatwell, Tom}},
  booktitle    = {{Earth-Science Reviews}},
  issn         = {{0012-8252}},
  keywords     = {{Richardson number, Lake classification, Seasonal stratification, Dimixis, Polymixis, Water transparency, Lake databases, Lake modeling, Secchi depth}},
  pages        = {{179--190}},
  publisher    = {{Elsevier BV}},
  title        = {{{Generalized scaling of seasonal thermal stratification in lakes}}},
  doi          = {{10.1016/j.earscirev.2016.08.008}},
  volume       = {{161}},
  year         = {{2016}},
}

@inbook{2394,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology}},
  isbn         = {{9781627037327}},
  issn         = {{1064-3745}},
  keywords     = {{Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach Bioinformatics Computational biotechnology Suspension Production}},
  pages        = {{355--367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}

@inbook{10214,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology - Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-62703-732-7}},
  issn         = {{1940-6029}},
  keywords     = {{Seed train, Optimization, Modeling, Prediction, Space-Time-Yield (STY), Systems approach, Bioinformatics, Computational biotechnology, Suspension, Production}},
  pages        = {{355–367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}