Recent Submissions 

  1. Genome-based discovery of polyketides generated by trans-acyltransferase polyketide synthases 

    Lipsh-Sokolik, Rosalie; Böhm, Paul; Chepkirui, Clara; et al. (2025)
    Methods in Enzymology ~ Genomics-Guided Natural Products Discovery
    Polyketide synthases (PKSs) are multienzyme complexes that produce bioactive compounds with applications in medicine and agriculture. This review focuses on the genome-guided discovery of polyketides synthesized by trans-acyltransferase (trans-AT) PKSs, which, compared with the more prevalent cis-AT PKS counterparts, introduce distinct and complex chemical features that may entail specialized biological activities. With the rapid expansion ...
    Book Chapter
  2. Chapter 6: Towards a Political Epistemology of Abstraction: an Inquiry into the Case of Jost Bürgi’s Progress Tabulen (1620) 

    Moosbrugger, Damian (2025)
    Intersections ~ Science and Praxis: Historical Cases of Political Epistemology
    In this article, I present a political conception of abstraction based on cases derived from the history of science. I argue that abstraction emerges from the codification of knowledge gathered in specific social practices. Moreover, its particular way of implementation is guided by and portrays a certain vision for the world. Thereby, abstraction always carries political momentum, the understanding of which is deemed essential to counter ...
    Book Chapter
  3. Inherited Antifragility 

    Axenie, Cristian; Akbarzadeh, Meisam; Makridis, Michail; et al. (2026)
    SpringerBriefs in Computer Science ~ Applied Antifragility in Technical Systems: From Principles to Applications
    This chapter introduces inherited antifragility as a gained characteristic of a technical system. It describes the benefit derived from input distribution unevenness, based on the emergent system dynamics and its interactions with the operating environment (i.e. disturbances, noise), under the premise that the intrinsic dynamics of the system are exposed to the interactions. We consider methods for the detection, analysis, and modelling ...
    Book Chapter
  4. Designing an Instructionally Focused Practical Measurement System Centered on Equity 

    Larbi-Cherif, Adrian; Premo, Anna Elisabeth; Schunn, Christian; et al. (2025)
    Continuous Improvement in Education Series ~ Measuring to Improve: Practical Measurement to Support Continuous Improvement in Education
    Book Chapter
  5. Biobased Product Design, Development, and Utilization in the Global South 

    Sekabira, Haruna; Simbeko, Guy; Feleke, Shiferaw T.; et al. (2025)
    Sustainable Bioeconomy Development in the Global South
    The design, development, and use of biobased economy are required to meet the world’s increasing demand for food, materials, and energy while maintaining biodiversity and the ecological balance of the planet (Lewandowski, 2018; Sharma et al., 2021). Biobased products are often biodegradable and have a lower environmental footprint. They can help reduce greenhouse gas emissions, decrease dependence on fossil fuels, and minimize pollution ...
    Book Chapter
  6. Artificial Intelligence: How It Changes the Landscape for Work Design Research and Practice 

    Bienefeld-Seall, Nadine; Grote, Gudela (2025)
    Transformative Work Design: Synthesis and New Directions
    This chapter discusses the implications of emerging technologies, especially artificial intelligence (AI), for work design theory and practice. Emphasizing the urgency for work design experts to join ongoing efforts to proactively shape the future of work, the chapter highlights three streams of literature and the opportunities for work design research and practice arising in each: (1) expand knowledge on the impact of technology on job ...
    Book Chapter
  7. Chapter 8: Epistemology and Politics of AI 

    Buchholz, Oliver; Reinhardt, Karoline (2025)
    Blackwell Companions to Philosophy ~ A Companion to Applied Philosophy of AI
    While much of politics is about making decisions, machine learning is about making predictions. Despite this diverging focus, machine learning is increasingly deployed in politically sensitive fields. This chapter focuses on the tension arising from this deployment. We specifically address the question of whether machine learning-based political decision making can be justified and how this question of justification interrelates with ...
    Book Chapter
  8. Risk Measures and Dependence Modeling 

    Embrechts, Paul; Hofert, Marius (2025)
    Handbook of Insurance: Volume II
    This chapter provides an introduction and overview about modeling risks in insurance and finance. Besides the problem of adequately modeling individual risks, modeling their possibly complicated interactions and dependencies is challenging from both a theoretical and a practical point of view. Well-known concepts to model risks are presented and their strengths and weaknesses discussed.
    Book Chapter
  9. Chapter Seven - Molecular brain imaging of psychedelic action 

    Cumming, Paul; Egger, Klemens; Knudsen, Gitte M. (2025)
    International Review of Neurobiology ~ Psychedelics in Psychiatry
    Molecular brain imaging by positron emission tomography (PET) and single photon emission computer-tomography (SPECT) entails the mapping of the cerebral distribution of radiopharmaceuticals that track physiological processes such as blood perfusion and glucose metabolism, or the abundance in brain of specific molecular targets such as neuroreceptors. PET and SPECT emerged as useful in vivo research technologies in the 1980s, finding early ...
    Book Chapter
  10. 13. The cost of transforming into an E-Bike City and the resulting change in safety 

    Zani, David; Adey, Bryan T. (2025)
    The E-Bike City: Designing sustainable streets
    When thinking about a transition to an E-Bike City, two important factors are safety and construction costs. This subproject estimates the change in safety for cyclists resulting from infrastructure changes in the E-Bike City, and how much it will cost to build the infrastructure necessary for a transition to such a city. We used a machine learning model to quantify the amount of urban road space that needs to be transformed, and historical ...
    Book Chapter
  11. 14. Estimating choice models for daily schedules 

    Pougala, Janody; Bierlaire, Michel (2025)
    The E-Bike City: Designing sustainable streets
    This subproject applies the OASIS framework to estimate MATSim’s schedule scoring function parameters, aiming for behaviorally realistic microsimulations. This method uses empirical data and a two-step estimation process, involving choice set generation via Metropolis-Hastings and parameter estimation through discrete choice models. Early results from Swiss data show realistic parameters and highlight the benefit of including start time ...
    Book Chapter
  12. 5. Street design guidelines 

    Ballo, Lukas; Cardoso, Matias (2025)
    The E-Bike City: Designing sustainable streets
    Municipal planning authorities seeking to implement the principles of the E-Bike City can refer to this manual for standardized design guidelines. Its structure is aligned with norms issued by the Swiss Association of Road and Transport Officials, Verband der Strassen- und Verkehrsfachleute (VSS).
    Book Chapter
  13. 2. The E-Bike City as a radical shift toward zero-emission transport: Sustainable? Equitable? Desirable? 

    Ballo, Lukas; Meyer de Freitas, Lucas; Meister, Adrian; et al. (2025)
    The E-Bike City: Designing sustainable streets
    This think piece discusses current barriers to the rapid decarbonization of transport and ways to overcome them. Policymakers face a set of contradictory goals, leading them to ponder only incremental measures: The need to reduce carbon emissions conflicts with accessibility improvements and the resulting induced traffic. At the same time, the prevention of urban sprawl as a means of promoting sustainable mobility is fundamentally thwarted ...
    Book Chapter
  14. 3. Effects of an E-Bike City 

    Meyer de Freitas, Lucas; Miotti, Marco; Zani, David (2025)
    The E-Bike City: Designing sustainable streets
    An E-Bike City massively shifts demand away from cars, but not only to bicycles, but also mainly towards public transport. This results in a substantial reduction of CO2 emissions. At the same time, the transport system’s external effects for society become positive, instead of negative, mostly due to the use of more sustainable modes and the greater benefits of physical activity.
    Book Chapter
  15. 11. Pedaling towards acceptance: Public preferences and cleavages in street transformation policies 

    Wicki, Michael; Sinatra, Claudia; Stephan, Jake; et al. (2025)
    The E-Bike City: Designing sustainable streets
    Public acceptance of the E-Bike City transformation divides along political and lifestyle lines. A first experiment shows left-leaning individuals and frequent cyclists are more supportive, while drivers and right-leaning respondents express fairness and intrusiveness concerns. Ancillary measures like public transport help, but mainly among the supportive. A second experiment using visualized street redesigns reveals that greenery and ...
    Book Chapter
  16. 1. Urban mobility reimagined: The E-Bike City vision 

    Axhausen, Kay W.; Elliot, Catherine (2025)
    The E-Bike City: Designing sustainable streets
    Book Chapter
  17. 8. Congestion-informed road space allocation for cars and bicycles 

    Ni, Ying-Chuan; Makridis, Michail; Kouvelas, Anastasios (2025)
    The E-Bike City: Designing sustainable streets
    Although being an effective way to increase bicycle usage by enhancing users’ safety and accessibility transport policies aiming to allocate more road space to bicycles often receive strong criticism from the public because of the concern of potential traffic congestion. Therefore, we first evaluate the traffic performance of a bike lane network design using a heuristic algorithm or only based on the accessibility measurement by simulating ...
    Book Chapter
  18. 10. Sustainability assessment of battery supply chains and externalities in e-bike mobility 

    Schenker, Vanessa; Miotti, Marco; Pfister, Stephan (2025)
    The E-Bike City: Designing sustainable streets
    In the context of the E-Bike City, we assessed the environmental impacts of battery production and material sourcing to better understand the sustainability of electric mobility. Lithium, one of the key battery materials, shows highly variable environmental impacts depending on where and how it is produced, in most cases higher than previously estimated. These differences were integrated into updated emission factors and used to compare ...
    Book Chapter
  19. 9. Network optimization and multi-target evaluation 

    Wiedemann, Nina; Grisiute, Ayda; Martin, Henry; et al. (2025)
    The E-Bike City: Designing sustainable streets
    A key component of the E-Bike City project is designing an optimal bike network, which is a multi-objective, combinatorial problem. We develop a mathematical optimization approach based on linear programming to balance the trade-offs between bike and car travel times, and compare our framework with methods from subproject C in chapter 7. Although this approach minimizes travel times by reallocating road space across Zurich, the resulting ...
    Book Chapter
  20. 6. Multi-scale responsive public transport planning for bi-modal demand 

    Andersson, William; Fuchs, Florian; Ansarilari, Zahra; et al. (2025)
    The E-Bike City: Designing sustainable streets
    Micromobility travel modes, such as e-bikes, are becoming increasingly popular. Travel demand is therefore more sensitive to people’s bi-modal travel behavior, with changes in weather conditions causing variations in travel choices. This subproject aims to redesign the transit system to provide passengers with high-quality service and save operating expenses. For demand variations that may lead to high loads and surplus capacity, it is ...
    Book Chapter

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