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Byggsektorn står för en stor del av Sveriges klimatutsläpp och har som mål att till 2045 bli klimatneutral. För att klara detta mål krävs bland annat förändringar i materialanvändning, till exempel kan materialet betong i flera fall bytas ut mot KL-trä. KL-trä används idag som stommaterial och monteras ofta utan väderskydd med resultatet att vatten i form av nederbörd hamnar i springor och spalterTo reach Sweden's climate goals changes in the use of materials are required. Concrete can in several cases be replaced with Cross-Laminated Timber, or CLT, as framework material. Today CLT is often installed without weather protection, with the result of water ending up in cracks and joints that are difficult to cover. Based on today’s knowledge there is great uncertainty about what condition

Many modern city centres are struggling with the aftermath of car-centric and consumption-driven urban planning from the last century. This approach has led to widespread vacancies, a lack of green spaces, and unattractive public areas, that fail to offer diverse functions. While many cities have pedestrian-friendly zones, these areas are often dominated by retail spaces that cater primarily to co

Hur kan det som anses värdelöst idag ses som något värdefullt imorgon? Projektet söker efter outnyttjad potential i bortkastade föremål och ifrågasätter rådande kulturella attityder gällande våra materiella resurser. Med en praktisk undersökning och konstnärliga arbetsmetoder kopplas det osammanhängande samman och nya alternativa scenarion framträder. Ett arkiv, en materialbank och en samling skis

In barley (Hordeum vulgare), induced mutations can cause a white albina phenotype with a complete lack of pigmentation in the plant tissues. The chloroplasts are also undeveloped in albina mutants. By identifying the genes carrying the causal mutations, knowledge would be obtained about the genetic machinery involved in chloroplast development and pigment biosynthesis. In this work, I have identif

Recently, two intracellular isoforms of CD59 were discovered in pancreatic beta cells. They proved crucial for insulin secretion and were named Isoforms Rescuing Insulin Secretion 1 and 2 (IRIS-1 and IRIS-2), whose expression decreased in type 2 diabetes (T2D). IRIS-1 and 2 were found across many different tissues on the mRNA level, including the brain. This Master's Thesis focuses on the role

Background: Estrogen receptor alpha (ERα) is a protein that belongs to the nuclear receptor family. It is regulating the expression of genes involved in cell cycle progression, proliferation, and apoptosis. Approximately 75% of breast cancers express ERα, making it an important target for treatment. Researchers have identified various isoforms of ERα, with the most well-characterized one being a 6

Antibiotics commonly used against Pseudomonas aeruginosa biofilms are believed to elicit the production of reactive oxygen species (ROS) as part of their bactericidal mechanism. Depending on their concentration, ROS can either induce cell death by damaging proteins, lipids, and DNA or cause mutations that can lead to antibiotic resistance. Hence, antioxidant defenses, including catalase enzymes, a

Digital integrated circuits are fundamental to modern electronic devices, with increasing design complexity requiring robust verification methods to ensure error free functionality. This thesis examines the critical role of formal verification in digital Integrated Circuits (IC) design, particularly during the architecture modeling phase. Using a state machine module that controls clock frequency

Connected to the ongoing global challenges relating to soil fertility loss and food security, there has been a recent upswing of alternative management practices (AMPs) within the agricultural sector. These methods are often focused on maximising soil health by safeguarding the below ground ecosystem and by increasing soil organic content. Consequently, AMPs tend to build resilience towards distur

As data serves an increasingly central role in trending topics within computation, it has become clear that the Von Neumann architecture of the modern computer is the major bottleneck in terms of energy consumption and latency. Neuromorphic computing is an emerging computing paradigm that seeks to overcome this bottleneck through the unification of memory and logic, analogous to the energy efficie

The construction sector is undergoing substantial growth and there are many challenges to address. One challenge is building defects, which affect the structural integrity and put the structure at risk. A common and intrusive building defect is moisture, which can slowly expand and lead to complicated defect detection. Moisture intrusion can cause many issues in the structure of the building and p

This thesis investigates Nestlé’s impunity for aiding and abetting forms of child labour in Côte d’Ivoire through analysing the landmark case Doe v. Nestlé. By employing a qualitative content analysis, this study disseminates the nearly two-decade court battle of oral arguments before the Supreme Court, amicus briefs from interested third parties, court rulings, as well as an interview with the le

Gesture has been acknowledged as a pivotal part of delivery in political rhetoric for millennia. Typically, politicians are seen as adhering to a style of gesturing encouraging pragmatic gestures, namely those that operate on the level of discourse such as providing emphasis, while being discouraged from using representational gestures, namely those depicting the content of speech iconically, as t

This study investigates the potential loss of memory details as a consequence of making successful associative inferences using the associative inference (AI) paradigm with naturalistic stimuli mimicking realistic interactions (AB,BC,and AC). It also aims to further our understanding of the mechanisms involved in the production of integrated memory representations—whether through integrative encod

This thesis presents an approach to improving pulse processing in singlephoton spectroscopy, focusing on crosstalk detection and correction in x-ray microcalorimeters. The work integrates advanced mathematical models, including Jacobian and Hessian computations, Hamiltonian Neural Networks (HNNs), and the application of negative probabilities to optimize Shannon entropy. These models are embedded

Wireless Power Transfer (WPT) is increasingly utilized across various practical domains, requiring continual development and optimization of supporting technologies. An essential aspect of this progress is the efficient testing of WPT Systems. This thesis explores optimization of the testing process using Machine Learning(ML) and data analysis, applied on historical data represented by test outcom