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The Cherenkov Telescope Array (CTA) will be the next generation ground-based observatory for very-high-energy (VHE) gamma-ray astronomy, with the deployment of tens of highly sensitive and fast-reacting Cherenkov telescopes. It will cover a wide energy range (20 GeV - 300 TeV) with unprecedented sensitivity. To maximize the scientific return, the observatory will be provided with an online softwar
Context. 55 Cnc e is an ultra-short period super-Earth transiting a Sun-like star. Previous observations in the optical range detected a time-variable flux modulation that is phased with the planetary orbital period, whose amplitude is too large to be explained by reflected light and thermal emission alone. Aims. The goal of the study is to investigate the origin of the variability and timescale o
The first measurement of event-by-event antideuteron number fluctuations in high energy heavy-ion collisions is presented. The measurements are carried out at midrapidity (|?|
OBJECTIVESThe symposium will provide the know-how about powered mobility use in children with Spinal Muscular Atrophy Type I. Define what are the barriers of their mobility and how powered mobility can facilitate participation and social interaction. Disseminate the importance of family involvement in early powered mobility through the use of adapted motorized devices supporting development of fun
The performance of the electromagnetic calorimeter of the ALICE experiment during operation in 2010-2018 at the Large Hadron Collider is presented. After a short introduction into the design, readout, and trigger capabilities of the detector, the procedures for data taking, reconstruction, and validation are explained. The methods used for the calibration and various derived corrections are presen
This study investigates the role of multi-stakeholder networks in disaster risk management (DRM) capacity development and how it aligns with the principles of the Sendai Framework for Disaster Risk Reduction. While the Framework emphasises collaboration, coordination, and partnerships among diverse stakeholders, there remains a gap in understanding how networks foster and sustain collaborative DRM
In this study we ask how a range of environmental sustainability adjustments that consumers find it easy to adopt affect the carbon footprint of their food consumption. The study is based on information about real purchases offood products and responses to a questionnaire about the various sustainability adjustments that the study participants apply and their concern about climate change. Based onIn this study we ask how a range of environmental sustainability adjustments that consumers find it easy to adopt affect the carbon footprint of their food consumption. The study is based on information about real purchases of food products and responses to a questionnaire about the various sustainability adjustments that the study participants apply and their concern about climate change. Based o
The first mass-distributed vaccines based on mRNA technology were launched in 2021 to protect against COVID-19, sparking rumours among vaccine critical individuals that these “new” vaccines might be more dangerous to the health than other, “traditional” vaccines. Drawing on rumour theories and social cognitive perspectives, the aim of this chapter is to account for the purpose and the spreading of
Contaminated sites constitute a global problem as they pollute important freshwater systems at a local scale. To effectively address these sites for remediaton, we must first characterize the sites in order to gain an understanding of the geological setting. This step is crucial as it helps determine groundwater flow pathways and the dynamics of surface water-groundwater exchange within these syst
We consider a system of equations that model the temperature, electric potential and deformation of a thermoviscoelastic body. A typical application is a thermistor; an electrical component that can be used e.g. as a surge protector, temperature sensor or for very precise positioning. We introduce a full discretization based on standard finite elements in space and a semi-implicit Euler-type metho
The treatment of the stochastic linear quadratic optimal control problem with finite time horizon requires the solution of stochastic differential Riccati equations. We propose efficient numerical methods, which exploit the particular structure and can be applied for large-scale systems. They are based on numerical methods for ordinary differential equations such as Rosenbrock methods, backward di
We consider high-order splitting schemes for large-scale differential Riccati equations. Such equations arise in many different areas and are especially important within the field of optimal control. In the large-scale case, it is critical to employ structural properties of the matrix-valued solution, or the computational cost and storage requirements become infeasible. Our main contribution is th
We consider approximations to the solutions of differential Riccati equations in the context of linear quadratic regulator problems, where the state equation is governed by a multiscale operator. Similarly to elliptic and parabolic problems, standard finite element discretizations perform poorly in this setting unless the grid resolves the fine-scale features of the problem. This results in unfeas
We consider operator-valued differential Lyapunov and Riccati equations, where the operators B and C may be relatively unbounded with respect to A (in the standard notation). In this setting, we prove that the singular values of the solutions decay fast under certain conditions. In fact, the decay is exponential in the negative square root if A generates an analytic semigroup and the range of C ha
