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Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi
Objective: The aim of this study was to explore experiences and challenges in handling feedback and criticism among early career surgeons. Design: This study is part of a prospective, exploratory, longitudinal study evaluating surgical residents throughout residency. Semi-structured interviews were conducted with medical doctors applying to a locum or residency position in a surgical specialty. An
The rapid growth of smart logistics, driven by IoT devices and data-intensive applications, necessitates secure, scalable, and efficient computing frameworks. As the edge-fog-cloud (EFC) paradigm supports real-time data processing, it faces significant security threats and attacks, including privacy risks, data breaches, and unauthorized access. To address these security threats and attacks, block
Improving lignocellulosic biorefineries is a crucial step in transitioning from a fossil-based economy to a bio-based one. These biorefineries convert lignocellulosic biomass feedstocks into value-added products such as biofuels, biopower, biochemicals, and biomaterials, while also recovering valuable components from underutilized process streams. Pulp and paper mills are lignocellulosic biorefine
The advent of AlphaFold and consumer large language models have elicited unprecedented development of artificial intelligence (AI). AI has had substantial impact in every area of research, including in molecular biology. This is principally in thanks to contributions to the Protein Data Bank and various genome sequence databases, providing an astronomical amount of data for model training. These d
Alzheimer’s disease (AD) is the most common neurodegenerative disorder, affecting millions worldwide. The clinical presentation of AD is heterogenous and often complicated by the presence of multiple co-pathologies, which can overlap with features of other neurodegenerative disorders, underscoring the need for tools to aid accurate and timely diagnosis. Biomarkers for AD span multiple modalities a
Background and purpose: Neuroblastoma is the most common extracranial solid tumour in children. Radiotherapy is commonly part of the multimodal treatment for high-risk patients. The aim of this study is to analyse doses to organs at risk (OAR) in comparative proton and photon treatment plans for children treated for neuroblastoma and report side effects. Patient/material and methods: All children
In this study a method for small scale purification of the protein RAGE (receptor for advanced glycation endproducts) was developed and soluble RAGE was purified from bovine and mice tissue. In healthy animals RAGE is expressed in measurable levels only in lungs and therefore lungs have been used. The tissue was homogenized and thereafter RAGE was purified using Concanavaline A (Con A)-Sepharose,
Problem definition Additive manufacturing is a technology that has received a lot of attention and many are wondering how it will affect them plastic industry in the future. Additive manufacturing is mostly used for prototyping today but there is reason to believe that the technology has potential to overtake other application areas for plastic or used as a complementary method to existing manufac
Complete resection is the treatment of choice for most pediatric brain tumors, but early postoperative MRI for detection of residual tumor may be misleading because of MRI signal changes caused by the operation. PET imaging with amino acid tracers in adults increases the diagnostic accuracy for brain tumors, but the literature in pediatric neurooncology is limited. A hybrid PET/MRI system is highl
Biodiversity loss is recognized as a grand challenge of the twenty-first century but ascertaining when a species is “lost” can be incredibly difficult—since the absence of evidence is not evidence of absence. This may be a relatively easy task for large and conspicuous animals, but extremely difficult for those living hidden lives or at low population sizes. We showcase this challenge by focusing
In this thesis work, a highly linear passive attenuator and mixer were designed to be used in a wide-band Transmission Observation Receiver (TOR). The TOR is a low IF receiver that accepts RF frequencies from 2GHz to 7GHz, and produces corresponding IF bandwidths of 280MHz to 990MHz respectively, using low side LO injection. The dynamic range is maximized by using passive topologies for both the a
The European Spallation Source (ESS) has launched a project called HighNESS, with the task of investigating the potential of adding a second moderator system to the facility, with ortho-deuterium (o-D2) being the main material of interest. Another moderator material which could be of interest is hydrogen deuteride (HD). The purpose of this second moderator system would be to provide a high intensi
Permanent magnet synchronous motors or PMSMs are commonly used in multiple applications, both in industry and commercial use. These motors have many pros when compared to other electrical machines but do present the issue of torque ripple, especially cogging torque. One field that is particularly affected by this is industrial robotics applications as the control structures implemented and the phy
Owing to the intensive computation involved in the Discrete Cosine Transform during image com- pression, the design of the efficient hardware architectures for fast computation of the transform has become imperative, especially for real-time applications. Although fast computation techniques have been able to minimise the hardware computation complexity to a certain limit, they could further exten
In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. We investigate whether utilization of DensePose can enhance performance on re-ID algorithms with the utilization of
Aseptic packaging solutions enable long time storage without refrigeration and are an important part of securing food supply globally. The package material consists of multiple layers: A paperboard for robustness, polymers for adhesion as well as shielding the board from liquid, and a barrier protecting the product. This thesis consists of two parts regarding in-plane wetting into the paperboard.
Elförsörjningen som till huvuddel kommer från fossila bränslen uppfyller vanligen inte efterfrågan i Irak. Samtidigt som det finns goda förutsättningar och stor potential för att installera och utnyttja solel som en lösning för den bristande elförsörjningen men med omtanke som värnar om miljön. Idag har cirka 20 procent av den irakiska befolkningen ingen tillgång till el, de återstående 80 procentThe main supply of electricity from fossil fuels does not usually meet demand in Iraq. At the same time, there are good conditions and great potential for installing and utilizing environmental friendly electricity from solar energy as a solution to the lack of power supply. Today, about 20 percent of the Iraqi population has no access to electricity, the remaining 80 percent have no continuous el
