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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
This paper focuses on particular immigrant groups, examining the integration extent between the US-born whites and first- and second generation immigrants during the Age of Mass Migration. From empirical evidence in this paper, I find that immigrants suffered an income penalty in the labor market, and second generation were more integrated into the US labor market. Immigrants with greater cult
EU:s Green Deal och Sveriges ambitiösa mål om klimatneutralitet år 2045 har satt fart på omställning till ett fossilneutralt samhälle. En nyckelkomponent för denna transformation är den gröna vätgasen. Detta är en lovande energibärare som har potential att revolutionera vårt sätt att använda resurser och leda oss mot en mer hållbar framtid. Tillämpningen av denna växer fram naturligt i regioner meGreen hydrogen is one of the key solutions for industrial decarbonization in sectors that cannot be easily electrified, however, the technology faces profitability challenges. The European Union mitigates these issues through various grants. This study, in collaboration with Kraftringen, examines an investment in a hydrogen system to address these challenges. The major aims include understanding e
En medvetenhet och högre krav på naturliga ingredienser hos konsumenter får företag att försöka minska på e-nummer och tillsatser i sina produkter. För att ändra befintliga recept och ta bort tillsatser krävs det undersökningar och tester. I denna studie undersöks möjligheten att ta bort ett av två konserveringsmedel i en befintlig produkt utan att riskera den mikrobiella säkerheten. Det är mång
Globala servicenivåmål och lagerkrav i distributionssystemet hos en tillverkare av industrigods Hur kan ett industriföretag se till att deras produkter finns tillgängliga när och där kunderna behöver dem? Tänk att en båttillverkare i Australien behöver en specifik båtmotor och de vill inte vänta i månader på att motorn ska levereras från Sverige. Det är då lageroptimering kommer in i bilden. GenoTitle: Global service level targets and stock requirements in the distribution system of a manufacturer of industrial goods Authors: Nils Holmqvist & Hugo Lundholm Supervisors: Johan Marklund, LTH | Lisa Thorsell, Volvo Penta Background: Volvo Penta is facing challenges in inventory management of marine engines in remote markets. Currently, a Make-To-Stock (MTS) strategy is used for specifi
The release of carbon dioxide (CO2) from inland waters plays an important role in the global carbon cycle. Yet, there are uncertainties related to estimating riverine CO2 evasion (FCO2), especially in data scarce regions such as the Tibetan Plateau. It is unclear how global change in the form of climate warming and anthropogenic disturbance affects emissions. This study reports annual CO2 fluxes a
This study examines various risks associated with the use of artificial intelligence (AI), which have become increasingly relevant as the technology rapidly develops and integrates into society. The risks have been categorized into six main areas: technological, data- and analytical, informational and communicational, economic, social, ethical and legal and regulatory. These areas include challeng
As a response to a changing climate and a growing population that increases the current unsustainable, industrialisation of agriculture, sustainable agricultural practices have gained interest globally. Regenerative agriculture was first mentioned in the 1980s but didn’t gain interest until recently. The research around regenerative agriculture is limited, especially concerning the recent growing
