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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

Rennet coagulation ability of milk is of utmost importance in cheese manufacturing industry since it is directly related to cheese quality and yield, then translated into economic benefit. This study examined the rennet coagulation ability and composition of milk from individual Swedish Red (SR) cows, the second most common dairy breed in Sweden. Additionally, the study explored how the presence o

I en allt varmare värld där resurserna börjar ta slut är behovet av mer miljövänliga material och bränslen större än någonsin. Kan kolhydrater, ett av naturens mest förekommande organiska material, vara en del av lösningen för ett mer hållbart samhälle? Kolhydrater består av en eller flera sammansatta sockermolekyler. Det finns en mängd olika varianter av kolhydrater som används inom allt från mPolysaccharides are a versatile group of biopolymers widely utilized in a range of industries, from food and medicine to construction. Engineering of the enzymes involved in the synthesis of polysaccharides could provide a way to chemically modify the composition, and therefore be used as a tool to obtain polysaccharides with new desired properties. In this thesis, the substrate binding to the don

The international framework for the regulation of outer space activities that has been in place since the 1960s has come under increasing pressure in recent years. Concerns over the weaponization and militarization of outer space have grown more vocal and attempts to introduce new international agreements have fallen short. Within this context, the present study analyzes Chinese media discourse on

Energy transition is crucial to mitigate the impacts of climate change globally. Solar energy, particularly through photovoltaic (PV) technology, plays a critical role in this transition. Innovation within the solar PV industry is essential, and policy support, especially government subsidies, is crucial for its technological advancement. This study focuses on China’s solar PV industry given its l

This thesis analyses the evolution of the Japan-EU and Japan-NATO bilateral relationships over the last two decades from the Japanese point of view. I used the International Relations theories of Realism, Liberalism and Constructivism to explain why and how these actors engage in cooperation. Thus, I tackled various topics such as trade, security, defence, technology, norm-making, and ideology. T

This thesis analyses collective memory in Contemporary Asian Societies through historical movies. It takes a borderless approach to infer the perception of the past in the Asian continent, filling the gap in a field mostly dominated by case studies. Asian historical movies are used as the data source of the analysis, following the historiophoty framework designed by White(1988) and Rosenstone (198

Since 2020, the crackdown on LGBTQ+ activism in China has further intensified. This thesis applied semi-structured interviews, online observation, and autoethnography, combined with framing theory and queer resilience theory, to analyze Chinese LGBTQ+ activists’ perceptions of and responses to current challenges. This thesis found that activists attribute the difficulties they encounter to governm

This thesis explores the profound impact of danmei consumption on Chinese women born between the 1990s and 2000s based on the employment of Simon de Beauvoir’s feminist existentialism theory. It highlights how danmei narratives — often perceived as misogynistic - challenged traditional gender norms and empowered female readers according to the perspectives of female fans. By examining these fans’

The complexity and frequency of cyberthreats continue to escalate as IT systems become increasingly central to our society. This thesis explores the role of human expertise along with AI technologies in improving cybersecurity frameworks within the EU. By integrating AI, organisations can improve threat detection and response times and navigate the evolving landscape of digital threats more effect

Background: Logistics within the food industry have been under increased pressure in recent years due to factors such as the invasion of Ukraine and Covid-19. This has put additional focus on efficiency throughout the supply chain, including warehousing activities. Warehousing has historically often been seen as a burden as it provides limited value-adding activities which means organizations cons

Inom bioakustiken studeras ljud i naturen. Ljudbilden ger en inblick i ekosystemets mående, inte minst avslöjas vilka djurarter som rör sig i närområdet. Ljudinspelningar kan därmed användas för att studera biodiversitet, vilket blir en mer och mer akut fråga. Inspelningarna som används i sammanhanget är långa, ibland flera månader långa. Det är därför inte möjligt för en biolog att manuellt lyssBioacoustic sound event detection (SED) is a critical field for biodiversity monitoring, yet the high cost of annotating data poses significant challenges. This thesis explores the application of active learning strategies to reduce the amount of annotated data required for effective model training. This is done for a segment based SED model, where batch active learning is performed by querying fu

The younger generation is obsessed with the transient beauty of internet aesthetics and the essence of social media’s “core-culture”. In the fast-paced digital age, internet aesthetics have emerged as a means to categorize not only cultural objects such as clothing, music or artworks, but also our own identities. The primary aim of this thesis is to delve into the influence of internet aesthetics

This study presents refugees' experiences of forming a social network in Swedish elementary schools during the refugee crisis year 2015. The aim of the paper is to extract an understanding of refugees' experiences of undergoing the process of being placed in preparatory class and later in ordinary class. This study has been approached through a qualitative method in the form of semi- struc

Enzyme formulation development is a tedious process that requires lots of time and resources. By improving parts of the formulation process, the formulation of enzymes could become more efficient and allow for quicker commercialization of enzyme products. The focus of this project has been on solid granular enzyme formulations, aiming to accelerate stability studies, develop enzyme degradation pre

This study investigated how the industry can maintain manual handling- and monitoring skills over time as pilots become increasingly exposed to more and more advanced levels of flight deck automation. It investigated previous research on the subject which in broad terms concluded that humans do certain things better than machines and vice versa and that it is essential to have a balance betwee

Temperature estimation models are crucial for various products manufactured by BorgWarner. These models often require manual calibration, where experts adjust parameters to ensure accuracy. However, this process can be slow and prone to errors. This thesis investigates how Machine Learning techniques can be used to improve accuracy and efficiency of temperature estimation models. Both black-box an

Active Learning för annotationseffektivitet inom detektion av kaffebärssjukdom Två veckor och trettitusen bär senare så har jag nu äntligen lyckats rita rutor kring varje bär, allt för att min AI-modell ska bli så bra som möjligt. Blicken börjar sina och det repetitiva arbetet har gjort mig snurrig. Om det ändå hade funnits något bättre sätt tänker jag för mig själv, eller det kanske det gör? SnaArabica 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

This thesis, initiated by Thule Group, investigated how an ultra-lightweight roof top tent could be developed to improve and simplify the user experience during installation and use. The aim of the project was to design a roof top tent for two people, which could be handled and mounted on a car by one person. During the project, Double Diamond together with a human-centred design approach was use