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The rapid expansion of the plant-based beverage sector has increased the demand for high-performance, barista-grade oat drinks that are capable of withstanding the thermal and acidic stresses of coffee applications. This master’s thesis, conducted in collaboration with Cerealiq AB, evaluates the efficacy of six specific enzymatic treatments in modifying the structural and physical properties of oa
Peptide therapeutics offer advantages in specificity and affinity, yet the potential propensity to self-associate and aggregate poses a challenge for the development of stable oral formulations. This master’s thesis evaluates the utility of the fluorescent dye Thioflavin T as a structural probe to monitor the aggregation of glucagon-like peptide-1 receptor agonists, specifically Liraglutide and Se
Bioenergy is the largest energy source in the Swedish energy system, where it consists mainly of domestic forest-based biomass in the form of residues and by-products. Today, there is a general discussion about the need for changes in national forest management policies and new European Union (EU) directives and regulations for forestry and bioenergy to better fulfil biodiversity and climate targe
Reliable ankle torque measurements are important in rehabilitation, where strength assessments are used to evaluate recovery and guide treatment. Isokinetic dynamometers, such as the Biodex system, are commonly used to provide controlled measurements of joint torque. However, these measurements rely on the ankle being held in a stable and reproducible position. Mechanical play in the ankle-attachm
Cross-border integration between Greece, Turkey and Bulgaria has been recently dominated by traditional perception of political diplomacy that overrides the considerations for economic cooperation. This project suggests that more in-depth case analysis of the Evros-Maritza-Meric Euroregion will elucidate the evolution of this concept. The existence of long-term barriers in the cross-border region
Key words: Corporate environmentalism, ecologic-economic decision-making, CSR worldviews Purpose: To explore environmental decision-aming processes at managers at Skanska, also with regard to enviornmental decison-making conceptualizations in theory. Method: The research of the thesis is based on a qualitative approach through the use of semi-structured and open interviews. Furthermore an interpre
The problem of echo separation using digital beamforming (DBF) on receive for multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) is of notable importance to allow for practical systems. Regrettably, current DBF-MIMO-SAR schemes, such as the short-term shift-orthogonal (STSO) scheme, are computationally cumbersome, increasing the required hardware complexity. To alleviate this pro
Background: Minimally invasive cardiac surgery provokes substantial pain and therefore analgesic consumption. The effect of fascial plane blocks on analgesic efficacy and overall patient satisfaction remains unclear. We therefore tested the primary hypothesis that fascial plane blocks improve overall benefit analgesia score (OBAS) during the initial 3 days after robotically assisted mitral valve r
Objective: To investigate the impact of including fluorine-18 fludeoxyglucose (18F-FDG) positron emission tomography (PET) scanning in the planning of paediatric radiotherapy (RT). Methods: Target volumes were first delineated without and subsequently re-delineated with access to 18F-FDG PET scan information, on duplicate CT sets. RT plans were generated for three-dimensional conformal photon RT (
A novel prototype polymer-coated adsorbent (PCA) has been developed for the effective expanded bed recovery of protein products from particulate feedstocks. The adsorbents were manufactured using the three-phase emulsification process by which the selected core phases (anion- and cation-exchangers and a custom-assembled pseudo-affinity adsorbent) were coated by an agarose gel. This new non-stick e
Background: OpenSim models are typically based on cadaver findings that are generalized to represent a wide range of populations, which curbs their validity. Patient-specific modelling through incorporating magnetic resonance imaging (MRI) improves the model's biofidelity with respect to joint alignment and articulations, muscle wrapping, and ligament insertions. The purpose of this study was to d
An appropriate and stable indoor climate in museums is crucial to guarantee an appropriate preservation of our cultural heritage. Depending on the collection, indoor temperature and relative humidity need to be kept within a certain range. Fluctuations in temperature and relative humidity could cause damage to museum artefacts and may require higher energy needs than necessary. Biochar is a materi
This study explores the ideas behind and development of assigning non-organised volunteers as assistant supervisors within the Swedish Prison and Probation Service. The Swedish way of collaborating with volunteers in supervision of offenders is unique in an international perspective. This article includes an international literature review for this area that seldom is studied. With the help of Cha
Processes that utilise low-value wastes and convert them to high-value food ingredients systemically add value across commercial operations. Current common disposal options include use as animal feed, anaerobic digestion, composting, incineration, and the worst-case options of landfill and wastewater disposal. The pressure is acute with food manufacturers needing to align with the UN Sustainable D
One of the major challenges in forensic genetics is being able to detect very small amounts of DNA. Massively parallel sequencing (MPS) enables sensitive detection; however, genotype errors may exist and could interfere with the interpretation. Common errors in MPS-based analysis are often induced during PCR or sequencing. Unique molecular indices (UMIs) are short random nucleotide sequences ligat
Deep learning has shown promise for gaze estimation in Virtual Reality (VR) and other head-mounted applications, but such models are hard to train due to lack of available data. Here we introduce a novel method to train neural networks for gaze estimation using synthetic images that model the light distributions captured in a P-CR setup. We tested our model on a dataset of real eye images from a V
