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Modern medicine is rapidly evolving toward personalized treatments, where therapies are tailored to an individual’s genetic profile. This shift is driven by the promise of pharmacogenomics, which aims to match patients with the most effective medications based on their unique biological makeup. As a result, biotherapeutics made from biological sources like proteins, peptides, and antibodies are be

The installation of large-scale solar farms is expected to increase in the future as part of a widespread transition from fossil fuel-based energy generation to renewables. By simulating large-scale solar farms in Earth system models (ESMs), previous studies have found that solar farms, at a large enough scale, can globally affect Earth’s climate. This study builds upon previous studies where an E

Society's view of social services has deteriorated with the cause of disinformation and violence from clients on social media. Previous research shows that it has become increasingly common for social workers and their relatives to be exposed to threats and abuse online. Therefore, this study aims to investigate social workers' experiences and attitudes towards being mentioned on social me

Practical and structural changes alone are not enough to achieve sustainable transformation of food systems because they are influenced by people’s underlying inner dimensions. Using data from quantitative student surveys and semi-structured interviews with school workers, this study applies three spheres of transformation framework and explores what place Estonian adolescents’ inner dimensions (v

Rapporten undersöker hur brusreducering påverkar ljudklassificering. Olika aspekter undersöks; informationsbevarande, hur bra brusreduceringen blir, samt brusnivåers och antalet klassers inverkan. Ljudklassificering är när en dator analyserar ljud och identifierar vilka klasser ljudet tillhör. För att skapa klassificering med maskininlärning, tränas ett nätverk att till bästa förmåga klassificerIt is often impossible to capture the sound one wants without capturing noise. Consequently, research has been done on noise filtering in audio signals. Currently deep learning algorithms are used for noise filtering. This thesis investigated the effects of noise and denoising on sound classification. The thesis used two standard datasets for clean sound and noise. FSD50K was chosen as clean soun

Modern vetenskap och teknik är starkt beroende av avancerade datorsimuleringar för att lösa komplexa problem, till exempel inom klimatmodellering eller flygteknik. Dessa simuleringar kan dock vara extremt beräkningskrävande, särskilt när man måste följa systemets utveckling över lång tid. I denna avhandling utvecklar vi en ny metod för att skapa förenklade modeller som behåller noggrannheten hos dReduced-order models (ROMs) have become indispensable tools for reducing the computational complexity of high-fidelity simulations in science and engineering. In this thesis, we introduce a novel training framework that combines the integral form of Operator Inference (OpInf ) with adjoint-state methods to yield robust, data-driven ROMs. By formulating a continuous-time loss functional that integr

Attitudes of Gen Z and their role in the workplace have been widely studied in the past decades. Even though Gen Z and Millennials have some similar workplace attitudes, the rapid change in technology experienced by Gen Z has inculcated some very unique working attitudes in the new generation, which in turn has impacted their expectations of middle management and their preference for such role

Denna studie undersöker förekomsten av Accrual Earnings Management (AEM), mätt genom diskretionära periodiseringar, i svenska börsnoterade företag inom hälso-, teknik-, industri- och konsumentsektorerna, före och efter Covid-19-pandemin. Med hjälp av en deduktiv kvantitativ ansats och den modifierade Jonesmodellen analyseras 3 213 observationer från 682 företag under tidsperioderna 2017–2019 och 2This study examines the presence of Accrual Earnings Management (AEM), measured through discretionary accruals, in Swedish listed companies within the health care, technology, industrial, and consumer sectors before and after the Covid-19 pandemic. Using a deductive quantitative approach and the modified Jones model, the analysis includes 3,213 observations from 682 companies during the periods 20

This thesis explores how inclusive biodiversity governance can deliver socially and environmentally beneficial outcomes, focusing on the role of NGOs and CSOs in facilitating participation by local communities and Indigenous Peoples in Kenya. Drawing on qualitative interviews, project documents, and media content, the study explores what strategies are used to foster participation in a project by

Proteomic analysis can reveal substantial information about cells and cell types, including biomarkers that can be used to distinguish subpopulations. Established protocols include manual pipetting steps of cells that are both time consuming and problematic in terms of samples losses. In this study, a new “FACS-into-evotip” protocol for proteomic analysis was evaluated with the goal to automate sa

The purpose of this thesis is to investigate the potential of transmitting data symbols alongside permuted copies in a repetition coding-like scheme, called the permutation scheme. First exhaustive search is conducted for small constellation sizes to identify possible patterns. The next step was identifying local search methods for permutations, and other methods for longer chains of permutations

With the increasing share of renewable energy sources in the energy system, an increased demand for stabilizing the grid frequency has grown, suggesting a future need for balancing services, such as manual Frequency Restoration Reserve (mFRR). A promising actor able to offer such balancing service is combined heat and power (CHP) plants due to their dispatchable power capabilities. This thesis aim

Vad händer när det som ska göra livet enklare samtidigt hotar planeten? Mjukvara har på kort tid gått från att vara ett osynligt verktyg i bakgrunden till att forma hela vårt samhälle. Mobiler som en förlängning av vår arm, kontanter som ersätts av Swish, artificiell intelligens som skriver texter och tar beslut, och globala techjättar som påverkar allt från demokratins grundpelare till individenThe climate impact of the information and communication technology (ICT) sector is growing rapidly. While software does not emit greenhouse gases directly, it plays a central role in shaping energy consumption patterns, influencing hardware life cycles, and enabling both sustainable and unsustainable practices across society. Despite its increasing relevance, software remains a relatively unregula

Syftet var att undersöka hur lärare upplever att generativ AI påverkar undervisningen på gymnasiet. Syftet besvarades genom att studera hur undervisningsstrategier och examinationsformer påverkats, samt vilka möjligheter och utmaningar gymnasielärare upplever med undervisningen kopplat till generativ AI. Sex kvalitativa intervjuer med gymnasielärare har genomförts och fokus har legat på deras uppl

Avfall påverkar miljön negativt på många olika sätt. Det förorenar, skadar djur och producerar växthusgaser. Stor vikt bör därför läggas på att samla in avfall för att förhindra att det förstör naturen. I Sverige bildas det år efter år ton av avfall som behöver omhändertas. En del återvinns men en klar majoritet förbränns. När man analyserat vad som slängs i restavfallet ser man att mer än hälftenThis paper explores the correlation between municipal waste amount and the degree of correctly sorted trash in the residual waste against three socioeconomic factors: Income, education level and age. The aim of this study was to investigate whether it’s possible to distinguish certain societal groups from their waste disposal behaviour in order to facilitate municipal waste management and lower th

The purpose of this study is to investigate the factors determining continuous user-engagement for the elements Avanza Svajper and Milstolpar. By analyzing qualitative insights from both users and Avanza representatives, and interpreting the findings through the lenses of Self-Determination Theory, the Octalysis Framework, and the MDA Framework, this study provides a deeper understanding of the st

As artificial intelligence (AI) becomes increasingly embedded in organisational operations, it introduces not only efficiency but also unique information security challenges. Traditional security practices cover common threats, however, the lack of transparency in AI output and the possibility of novel attacks such as data poisoning and phishing attacks show that these systems are poorly equipped