Recent Submissions 

  1. Real‐Effort Tasks in Experiments: The Task Choice Matters 

    Waloszek, Christian (2021)
    Real‐effort tasks are widely used in experimental research to study effort provision. A great variety of tasks exists, each of which has its own properties. The tasks are employed in different areas of application. The tasks carry different properties, which involve advantages and disadvantages depending on the specific area they are applied. This thesis is about the choice of task and its implications. It is structured as follows. The ...
    Doctoral Thesis
  2. Nutritional combined environmental impact assessment of global food systems 

    Chen, Canxi (2021)
    Food production and consumption are responsible for remarkable environmental burdens including greenhouse gas emissions, land expansion, water stress, and pollution due to the nutrient overflow of the fertilizer application. Meanwhile, current global food systems are unable to address hunger and malnutrition in different forms occurring in many regions and populations. The world needs a food system transformation to ensure that we operate ...
    Doctoral Thesis
  3. Novel Mass Spectrometry Technique Developments for a More Holistic Characterization of Atmospheric Constituents 

    Lee, Chuan Ping (2021)
    We might be drinking water for an average of 2 hours daily and sleeping for an average of 8 hours daily but we breathe in the air for 24 hours every day. The air surrounding us does not only consist of gases like nitrogen, oxygen, carbon dioxide or water vapor, but also of large quantities of small particles, called aerosols. The atmospheric aerosols play an important role in climate forcing by affecting the radiative balance, cloud ...
    Doctoral Thesis
  4. Hardware optical flow from event cameras 

    Liu, Min (2021)
    Doctoral Thesis
  5. Dynamical decoupling in EPR spectroscopy for quantitative decoherence description via noise spectroscopy 

    Soetbeer, Janne (2021)
    Decoherence represents a double-edged sword for pulsed electron paramagnetic resonance (EPR) as this process limits the achievable resolution and/or sensitivity of an experiment but also reports on the decoherence-inducing spin environment. For this reason, the manipulation and understanding of underlying decoherence mechanisms is pivotal. Pulsed manipulation by n refocusing pulses, i.e. dynamical decoupling (DD), is known since the ...
    Doctoral Thesis
  6. Numerical sensitivity kernels in elastic media for imaging purposes and seismic tomography in the Hengill geothermal field 

    Duran, Alejandro (2021)
    The first part of this thesis presents the work performed on the Hengill geothermal field at SW Iceland, in the framework of the COSEISMIQ (Control SEIsmicity and Manage Induced earthQuakes) project. We build a comprehensive catalogue of induced and natural seismicity. We use high-quality seismic data to compute 1D velocity models and study the impact of different 1D models in the relocation of hypocenter parameters. We use the best 1D ...
    Doctoral Thesis
  7. Materials and Waveguide Platforms for High-Speed Plasmonic Modulators 

    Messner, Andreas (2021)
    ETH Zürich Series in Electromagnetic Fields
    Doctoral Thesis
  8. Emergent structures and dynamics in a quantum gas with cavity-mediated long-range interactions 

    Li, Xiangliang (2021)
    Synthetic materials created by ultra-cold atoms open the way to explore properties beyond actual solid materials. Since the atoms are cooled to the ground state in motion, the interactions between atoms can significantly affect the macroscopic properties of the synthetic material. We use optical cavity modes and a coherent off-axis pump beam to couple atoms in different motional states, and achieve effective long-range interactions between ...
    Doctoral Thesis
  9. Defining the roles of the Argonaute proteins in stem cell biology 

    Müller, Madlen (2021)
    Doctoral Thesis
  10. Machine learning and enhanced sampling simulations 

    Bonati, Luigi (2021)
    In this thesis, we extend the scope of atomistic simulations through a combination of machine learning and advanced sampling methods. Machine learning techniques, and notably neural networks, enable accurate representation of complex functions, while enhanced sampling can help collect the data needed to train the models. The synergy between these two techniques is particularly fruitful and allows taking a step forward in solving two major ...
    Doctoral Thesis
  11. Data Summarization in Modern Machine Learning 

    Borsos, Zalán (2021)
    Doctoral Thesis

    Llerena Zambrano, Byron (2021)
    Health monitoring has experienced a significant transformation over the last few decades. Through a series of technological breakthroughs, new monitoring devices allow to reduce the constant need of medical personnel in follow-up care. These series of inventions are driven by the increased number of patients, which contrasts with an upcoming shortage of healthcare professionals. As a result, new health monitoring devices aim to measure ...
    Doctoral Thesis
  13. Ecosystem functioning of arable land in response to cropping systems and drought 

    Liu, Yujie (2021)
    Conflicts between increasing food demands and adverse effects of agricultural intensification on the environment, together with frequent and severe drought, are threatening global food production and food security. Therefore, agricultural systems have to be more productive, sustainable, and resilient in the context of global change. Organic farming and conservation tillage have been widely implemented as means of ecological intensification ...
    Doctoral Thesis
  14. Robust Health Monitoring with Digital Cameras 

    Scebba, Gaetano (2021)
    Doctoral Thesis

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