Recent Submissions 

  1. Molecular mechanism of Arrestin-3 Recruitment and Activation by G Protein-Coupled Receptors 

    Meger, Benoît (2020)
    Arrestins are 45-47 kDa cytosolic proteins that constitute a family of 4 members in mammals and are important regulators of G protein-coupled receptor (GPCR) signaling. Arrestins play key roles in desensitizing GPCRs to G protein coupling, and some arrestins also regulate GPCR internalization and cellular trafficking. Arrestin-1 and arrestin-4 are primarily expressed in the retina and regulate the activity of the opsins, the light-sensitive ...
    Doctoral Thesis
  2. Leveraging Synchronous Transmissions for the Design of Real-time Wireless Cyber-Physical Systems 

    Jacob, Romain (2020)
    Cyber-Physical Systems (CPS) refer to systems where some intelligence is embedded into devices that interact with their environment; that is, collecting information from the physical space, processing that information, and taking actions that affect the environment. Automatically turning the heating on when room temperature gets cold is one of the simplest example of CPS. Things get more complex when applications are distributed ...
    Doctoral Thesis
  3. Exploring convective drying of soft cellular food by a multiscale approach 

    Prawiranto, Kevin Hackman (2019)
    Convective drying is the most common method applied to food dehydration. For soft cellular material like fruit and vegetables, drying causes physical and biochemical changes that define the final product quality. Removal of water from the tissue results in microstructural changes that affect not only the bulk shrinkage but also water transport in the tissue. This research aims to understand better the convective drying process of soft ...
    Doctoral Thesis
  4. Exact Nonlinear Model Reduction in Structural Dynamics 

    Ponsioen, Sten (2019)
    Doctoral Thesis
  5. Modeling and Engineering the Interfacial Properties of Two-Dimensional Materials 

    Tian, Tian (2019)
    Two-dimensional (2D) materials, the crystalline films with one- to few-atom thickness, have attracted the spotlight of material research in recent years. Due to the quantum-confined electronic structures, the 2D materials serve as ideal platforms for studying low-dimensional physics and chemistry. Despite extensive research focusing on the intrinsic characteristics of 2D materials, little has been studied regarding their interfacial ...
    Doctoral Thesis
  6. On the Possible Concepts of the Transition to a Low-carbon Economy 

    Colesanti Senni, Chiara (2020)
    Doctoral Thesis
  7. Attosecond Electron Dynamics in III-V Semiconductors 

    Schläpfer, Fabian (2019)
    Doctoral Thesis
  8. Specialized Hardware Solutions for In-Database Analytics and Machine Learning 

    Kara, Kaan (2020)
    The increasing popularity of advanced data analytics workloads combined with the stagnation of transistor scaling has started to direct the evolution of hardware systems towards more specialization. Examples of hardware being specialized include wider vector instructions on central processing units (CPU), dense multiply-accumulate blocks on graphics and tensor processing units (GPU, TPU), and custom architectures deployed on field-programmable ...
    Doctoral Thesis
  9. Influence of temporal and spatial heterogeneity on microbial spatial self-organization 

    Ciccarese, Davide (2020)
    In this thesis work, I investigated the influences of environmental heterogeneities on the spatial self-organization of microbial communities. I took a reductionist approach using isogenic cross feeding strains grown under controlled environmental conditions. The environmental heterogeneities investigated in this research study include local nutrient availability, temporal fluctuations in environmental conditions, physical structures, and ...
    Doctoral Thesis
  10. Approximate Dynamic Programming: theoretical guarantees and practical algorithms for a continuous space setting 

    Beuchat, Paul (2019)
    Many problems in science and engineering can be cast as discrete time, continuous space, infinite horizon stochastic optimal control problems. The so-called value function and Q-function both characterise the solution of such problems, but are both intractable to compute in all but a few special cases. This thesis focuses on methods that approximate the value function and Q-function. We consider the linear programming approach to ...
    Doctoral Thesis
  11. Modeling of Subsurface Scattering from Ice Sheets for Pol-InSAR Applications 

    Fischer, Georg (2019)
    Remote sensing is a fundamental tool to measure the dynamics of ice sheets and provides valuable information for ice sheet projections under a changing climate. There is, however, the potential to further reduce the uncertainties in these projections by developing innovative remote sensing methods. One of these remote sensing techniques, the polarimetric synthetic aperture radar interferometry (Pol-InSAR), is known since decades to have ...
    Doctoral Thesis
  12. Rapid Solidification of Alloys and Selective Laser Melting of Metal Matrix Composites for Abrasive Applications 

    Li, Xiaoshuang (2019)
    Advanced tools with superabrasive grains like diamond and cubic boron nitride are widely applied for machining high strength materials. The emerging Selective Laser Melting process has the potential to embed the superabrasives into such tools, so-called Metal Matrix Composites. Commercially available matrix alloys were developed for the conventional processes like casting, brazing which have cooling rates of several orders of magnitude ...
    Doctoral Thesis
  13. Cardinal Characteristics of the Continuum Based on Asymptotic Density 

    Lischka, Marc (2019)
    A cardinal characteristic of the continuum is a cardinal number strictly greater than the cardinality of the natural numbers, and less than the cardinality of the continuum (i. e. the real numbers). In general, we are only interested in those cardinal characteristics of the continuum that consistently are strictly less than the continuum. Asymptotic density is a concept from number theory used to describe how large certain subsets ...
    Doctoral Thesis

View more