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We demonstrate that freeing a single-atom thick layer of hexagonal boron nitride (h-BN) from tight chemical bonding to a Ni(111) thin film grown on a W(110) substrate can be achieved by intercalation of Au atoms into the interface. This process has been systematically investigated using angle-resolved photoemission spectroscopy, x-ray photoemission, and absorption techniques. It has been demonstra
Popular Abstract in Swedish Artros är en av de vanligaste kroniska sjukdomarna och en av de främsta orsakerna till funktionshinder för människor världen över. Artros angriper ofta knä- och höftlederna och bryter ner det brosk som finns där. För den som drabbats av artros tar förloppet ofta många år, med successivt ökande smärtor och rörelsesvårigheter. Ofta upptäcks dessutom inte sjukdomen förrän Osteoarthritis (OA) is a common chronic disease and one of the major global causes for functional disabilities. The disease is characterized by loss and degradation of cartilage, commonly affecting the knees and hips. Delayed gadolinium-enhanced MRI of cartilage (dGEMRIC) is a previously presented method for identification of early OA using magnetic resonance imaging (MRI). By quantifying the T1 p
Five recent techniques from hybrid and optimal control are evaluated on two power electronics benchmark problems. The benchmarks involve a number of practically interesting operating scenarios for fixed-frequency synchronous dc-dc converters. The specifications are defined such that good performance can only be obtained if the switched and nonlinear nature of the problem is accounted for during th
Computing smoothing distributions, the distributions of one or more states conditional on past, present, and future observations is a recurring problem when operating on general hidden Markov models. The aim of this paper is to provide a foundation of particle-based approximation of such distributions and to analyze, in a common unifying framework, different schemes producing such approximations.
In this paper three unit root tests that allow for a break in both the seasonal mean and linear trend of the data are proposed. The tests, which can be seen as smallsample corrected versions of already known asymptotic tests, are shown to perform very well in simulations, and much better than their asymptotic counterparts.
Single top quark production via four-fermion contact interactions associated to flavour-changing neutral currents was searched for in data taken by the DELPHI detector at LEP2. The data were accumulated at centre-of-mass energies ranging from 189 to 209 GeV, with an integrated luminosity of 598.1 pb(-1). No evidence for a signal was found. Limits on the energy scale Lambda, were set for scalar-, v
Renal function is often estimated using one of several glomerular filtration rate (GFR) estimating equations. However, there is no consensus which estimating equation performs best in patients with advanced renal failure. We compared the performance of five different estimated GFR (eGFR) equations [Cockcroft-Gault, Modification of Diet in Renal Disease (MDRD), Chronic Kidney Disease (CKD) Epidemio
Due to the potential of compact imaging systems with magnified spatial resolution and contrast, cone-beam x-ray differential phase-contrast computed tomography (DPC-CT) has attracted significant interest. The current proposed FDK reconstruction algorithm with the Hilbert imaginary filter will induce severe cone-beam artifacts when the cone-beam angle becomes large. In this paper, we propose an alg
Achieving asthma control remains an elusive goat for the majority of patients worldwide. Ensuring a correct diagnosis of asthma is the first step in assessing poor symptom control; this requires returning to the basics of history taking and physical examination, in conjunction with lung function measurement when appropriate. A number of factors may contribute to suboptimal asthma control. Concomit
Objective Image Quality Assessment (IQA) is crucial for evaluating and ensuring the fidelity of images. Traditional human-based evaluations, although reliable, are impractical due to their cost and slow pace, combined with subjective inconsistencies. This thesis aims to address these issues by developing a test and quality bench for Bertin Exensor's dual-head camera, integrating both infrared
The High Luminosity-Large Hadron Collider (HL-LHC) will reach an approximate pile-up of 200 collisions per bunch crossing, ten times more than the current Large Hadron Collider. Beginning operation at the end of the decade, it will accumulate 3000 fb−1, increasing the chances of observing new processes and allowing measurement of rare processes with higher precision. Moreover, the pile-up increase
Arabica coffee production in Africa has declined significantly over the last half century, partly due to Coffee Berry Disease (CBD), caused by the fungus Colletotrichum kahawae. This disease results in substantial economic losses, estimated at USD 350- 500 million annually. Recent advancements in machine learning (ML) and computer vision offer powerful tools for disease detection. However, annotat
Understanding the pH sensitivity of proteins and enzymes across intracellular compartments is crucial for fundamental research. Lizatović et al. [1] aimed to design a peptide incorporating a specific amino acid to form a hexamer structure and lacking it to form a pentamer structure. Unexpectedly, two distinct structures emerged based on pH. At pH 6, a hexamer structure formed, albeit with a surpri
Atrial fibrillation (AF) is an arrhythmia distinguished by irregular heartbeats, which has seen a significant rise in prevalence globally. Due to the risk of strokes, the condition necessitates early detection and intervention to prevent severe complications, highlighting the critical role of early and precise detection techniques. To effectively train and validate machine learning (ML) models, ha
This thesis details the development, implementation, and optimization of a local microservice designed to enhance invoice processing at Hulo, a company that manages au- tomatic payment invoices. This is conducted through Artificial Intelligence (AI) and Machine Learning (ML) techniques, focusing particularly on Computer Vision and Object- detection. Motivated by the need to address the inefficienc
Favouring good soil health is pivotal for ensuring long term agricultural production by minimizing erosion, increasing soil carbon content, increasing the soil water holding capacity and decreasing the soil bulk density. Certain land management practices can disfavour factors for soil health and in-extent lead to soil degradation which can threaten food production and natural habitats. Soil organi
Thanks to the ever-increasing computational power, machine learning has become a staple in computer science. Many computer vision methods have become so reliable that their implementation in the surveillance industry is now the de facto standard for many object detection and classification tasks. The use of machine learning for surveillance is not confined to images and videos, however, it is also
