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The European Union (EU) taxonomy regulation marked a milestone in the sustainable finance agenda. The taxonomy aims to accelerate the mobilisation of public and private finance to support the transition to a net-zero economy. The EU’s taxonomy regulation established a classification system of environmentally sustainable economic activities to provide financiers clarity on what to consider a sustai
The aim of this thesis is to investigate the possibility of enabling biometric identification given a large number of enrolled users. This area is relatively unexplored compared to biometric authentication where a fingerprint template is compared against just a few number of templates. The selected approach is to use auxiliary information available during an identification. This information will b
Powders are complex systems that depend strongly on how the individual particles in- teract and their surroundings. Understanding powders behaviour under certain conditions is very important for the product in many applications, one of them being Additive Manu- facturing (AM). The overall goal of this study is to understand and quantify the effect of flow additives in combination with iron powder.
The focus of this work has been to implement a generic netlist reduction engine to speed up circuit simulations. The netlist reduction techniques are further optimized for Static Random-Access Memory (SRAM), wherein we exploit the repetitive pattern of the circuit. There are many driving factors for developing a netlist reduction engine for SRAM simulations. In today's System on Chip (SoC), S
Alzheimer’s Disease (AD), a neurodegenerative disease, defined by abnormal accumulation of proteins, both extracellularly (senile plaques, consisting of amyloid-beta(Aβ) accumulation) and intracellularly (neurofibrillary tangles, formed by Tau protein). Several studies demonstrate that the immune cells play a central role in the pathogenesis of AD, but it is not known if immune cells from the peri
Machine-learning methods have in recent years seen a great deal of use in condensed matter physics. In this thesis we apply such methods, specifically machine-learning with artificial neural networks, to the equilibrium and non-equilibrium description of the Hubbard and Hubbard-Holstein models. In the framework of ground-state density functional theory we reproduce results from the literature rega
Mesosideriter är sällsynta sten-järnmeteoriter med ett gåtfullt ursprung. Deras ovanliga blandning av skorp- och kärnmaterial har föranlett många bildningsteorier under det senaste århundradet. Några frågor har avsett ursprunget till metallen, huruvida den kom från en annan himlakropp, eller från moderkroppens egen kärna, samt varför det finns så pass lite mantelmaterial. Nedslag har haft en centrMesosiderites are rare stony-iron meteorites with enigmatic origins. Their unusual mix of crustal and core materials have inspired many formation theories over the last century. Some of the outstanding questions have regarded the origin of the metal, whether it came from another celestial body or from within the parent body, and the absence of mantle material. The role of impacts has been central
In this project the concept of digital power was examined. Though not a new phenomena, the concept was new to Micropower. The company develops a wide array of battery chargers and wanted to include this concept in future generations of their products. The reasoning behind the decision is the possibilities of smoother development, better error handling and more communication. As a first step differ
The development seen within industrial automation in recent years enables the emergence of manufacturing sites that utilise technology for improved productivity, quality and safety. Increased communication demands introduced by Industry 4.0 have motivated the development of cloud-fog automation; a technique characterised by wireless communication between lower levels of the automation pyramid. Spe
The primary aim of this paper is to investigate which attributes are most important to the online customer experience (OCE) in the fast fashion industry. Qualitative data was gathered through a netnography of online customer reviews and comments, and a comprehensive framework of attributes important to OCE in the fast fashion industry was constructed. This framework includes nine primary attribute
Technical development often precedes scientific breakthrough but can also pose new challenges to the scientific community. This is the case for Digital Spatial Profiling (DSP), where recent breakthroughs allow for collecting multi-plex spatial proteomic/transcriptomic data from tissue and it is prophesied a promising future in cancer research. A challenge, however, is handling its output data with
The goal of risk and vulnerability research is to reduce the harm done by disasters. A disaster is a combination of a natural hazard and a vulnerable society. Understanding vulnerability is vital to reduce disaster risk, or the potential of losses in property or life. Vulnerability is often divided into a technical, relating to buildings, infrastructure, and so forth, and a social which concerns t
The Implementation and some mathematical properties of GMRES and weighted GMRES (WGMRES) are described. Numerical experiments originally performed by Essai (1998) are performed to compare the two methods. GMRES and WGMRES are used to solve a linear system arising from the Poisson equation and compared with respect to computational effort.
As the field of neural organoids and assembloids expands, there is an emergent need for guidance and advice on designing, conducting and reporting experiments to increase the reproducibility and utility of these models. In this Perspective, we present a framework for the experimental process that encompasses ensuring the quality and integrity of human pluripotent stem cells, characterizing and man
Autonomous robots must operate reliably and safely under uncertain, dynamic conditions over extended periods. To ensure such operational robustness, it is vital that both developers and operators can clearly and verifiably specify functional requirements and safety constraints throughout the robot software lifecycle. My research targets different layers of robot operational safety: early error det
Mesosiderites are rare, differentiated meteorites, so-called stony-iron meteorites—they are impact breccias composed of an unusual mix of crustal basalt and pyroxenite, core-derived metal, but no mantle materials. This odd mixture makes their origin enigmatic and has inspired many different formation theories over the last several decades. Some of the outstanding questions have regarded the origin
