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Since their emergence in the 1950’s, ice cores have ventured from being scientific objects of concern to a limited number of glaciologists to becoming one of the most iconic representations of anthropogenic climate change. This thesis aims to historicize the way in which ice cores became enrolled into climate discourse, particularly emphasizing the production and representation of temporalities of
Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. The underlying model is constructed by choosing the best fit from
Inflammation and subsequent endothelial dysfunction are main players in the vascular component of hypertension, and recent findings points to a key role of Sphingosine- 1-Phosphate and its signaling pathways in its pathophysiology. In neurodegenerative disorders such as Alzheimer’s disease, hypertension is the main modifiable risk factor, but insights regarding S1P receptor modulation in response
This Master Thesis aims to show an approach to the design of parallel robots,specifically the development of its kinematics. To do this, screw theory will be used, focusing on its theoretical bases and taking it later to practice. First, a theoretical definition of the inverse and forward kinematics of a parallel robot is carried out. Subsequently, algorithms are generated in Python that verify t
Aspects of Error Quantification and Evaluation in Digital Elevation Models for Glacier Surfaces This study explores methods to quantify and evaluate error in digital elevation models (DEMs) built from remotely sensed elevation data of the Hintereisferner glacier. A special focus lies on glacier surfaces because glaciers are often inaccessible for field observations but at the same time prone to m
In this thesis, a new probabilistic risk assessment tool for road tunnels has been verified and validated. The verification and validation were performed along with a literature review to find different key variables that affect the risk in a road tunnel and find out how these variables can be handled. Examples of variables are heat release, ventilation mode and factors within evacuation modelling
Using laser it is possible to measure the backscattered light from insects. The resulting signal can then be analysed in order to potentially determine the species of the insect. Estimating the fundamental wing beat frequency (FWBF) of insects is important in order do this classification of species, which is an area of research that has been explored previously. In this thesis, the relative phase
Due to increasing awareness and consumer demands it has become important for companies to develop an economical and environmentally sustainable alternative to traditional petroleum-based plastics. The transition from fossil material to bio based is important for the future of people and planet, still, how the transformation should be implemented is yet unknown. In this report, the possibilities of
The Large Hadron Collider (LHC) at CERN is undergoing a major upgrade to prepare for the High-Luminosity LHC. It will allow for many more particle collisions to occur. Some detectors that make up the LHC experiments must be replaced to withstand the harsher conditions. In particular, the inner tracking detector (ID) of the ATLAS experiment will be replaced by the new Inner Tracker (ITk). Every co
Due to increasing global energy demands and a need to move away from non-renewable energy sources, green hydrogen is now being considered as a possible replacement for fossil-based energy sources. Especially in “hard-to-abate” sectors, such as steel and petrochemical production, and long-distance transport, where the change to renewable electricity is more difficult. Green hydrogen is produced thr
A lack of somatostatin expressing interneurons (SST INs) is known to be a factor in several neurodegenerative and neurospsychiatric diseases, such as Alzheimer disease, Parkinson’s disease and schizophrenia. Being able to efficiently obtain SST INs in vitro could enable a greater understanding and better treatment of these diseases. The development of SST INs is not yet fully understood, but it is
The use of antenna arrays allows for direction-of-arrival (DoA) estimation in a radar system. The antenna elements in an array are conventionally positioned equidistantly on a grid, but they can also be placed relatively freely to form sparse antenna arrays. These non-conventional layouts could potentially offer improved DoA capabilities. In this work, a particle swarm optimization algorithm has b
This thesis studied the recording methodologies of conducting unannounced evacuation drills to enhance the understanding of evacuation behaviours and performance within the Complex Muon Solenoid (CMS) cavern at CERN. The primary objective was to validate the CMS underground evacuation simulation model for planned evacuation and compare various data collection methods. An unannounced evacuation dr
Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause
We present a data-driven proof of concept model capable of reproducing expected counterparty credit exposures from market and trade data. The model has its greatest advantages in quick single-contract exposure evaluations that could be used in front office xVA solutions. The data was generated using short rates from the Hull-White One-Factor model. The best performance was obtained from a GRU neur
With the ambition to contribute to a sustainable development, this project started with aim to recycle fiber boards. The idea behind the project is to take lose fibers that come from waste product or simply just worn out fiber boards, and make them into new fiber boards. In order to achieve this, a binder is needed to hold the boards together. The aim of this thesis was to evaluate different binde
The food industry is facing challenges in responding to the climate crisis, and research highlights the potential of using Business Intelligence & Analytics for organizations sustainability efforts. The aim of this study is to holistically map through the affordance lens, what capabilities organizations in the food industry may potentially gain by using BI&A for sustainability. The study i
