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Uppsatsen är en textanalys av svenska förarbeten för fastställande av föräldraskap från 1900-talet till idag. Detta för att identifiera centrala intressen och få en fördjupad förståelse för hur olika intressen tillgodoses i dagens gällande rätt. Fastställande av faderskap lagreglerades först genom 1917 års barnlagar och sedan dess har faderskap kunnat fastställas genom faderskapspresumtionen, faThis essay discusses the evolution of the laws determining legal parenthood in Sweden to gain a deeper understanding of how different interests causes changes within the law and how the interest interact with each other. This has been done by analyzing the legislative history and the preparatory work from the 20th century to today. Legal paternity has been regulated by law since 1917 and can be

Projektet Intelligent Survey (IS) utvecklades för att predicera depression och ångest från naturligt språk genom att översätta individers kvalitativa svar från elva öppna frågor till kvantitativa värden som jämförs och prediceras mot skalorna; Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder scale (GAD-7), Harmony in Life scale (HILS) och Satisfaction With Life Scale (SWLS). I saThe project Intelligent Survey (IS) was developed to predict depression and anxiety from natural language by translating individuals' qualitative answers from eleven open-ended questions to quantitative values, which are compared and predicted against the scales; Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder scale (GAD -7), Harmony in Life scale (HILS) and Satisfaction Wit

Quantum annealing provides a promising avenue for obtaining good approximate solutions to difficult optimization problems. Protein folding represents one such problem. For testing novel algorithms and technologies, simplified lattice models are well suited, as they represent considerable computational challenges despite their simplicity. One such model is the HP model, where the protein is represe

Förbättring av plasmidtransfektion till celler är av yttersta vikt vid forskning och behandling av sjukdomar baserat på genetiska tillvägagångssätt. Utvecklingen av omfattande, säkra, effektiva och skalbara metoder att införa genetiskt material i celler utgör en teknisk utmanande uppgift. Sonoporering, där trycket från ultraljudvågor orsakar perforering i cellmembranet, vilket möjliggör transfektiImproving plasmid transfection into cells is crucial in genetic disease research and treatment. The development of comprehensive, safe, effective, and scalable methods for introducing genetic material into cells poses a technically challenging task. Sonoporation, which utilizes pressure from ultrasonic waves to induce perforations in the cell membrane, enabling transfection, is an evolving method

Automatic segmentation of organs and tissues in computed tomography (CT) images can aid clinicians in anatomical contextualization for planning surgery or dosimetry. CT scans can cover varying axial ranges of the body. This thesis aims to develop a neural network based on vision transformers for segmenting organs and tissues in CT images of arbitrary axial ranges. Two models are presented, one bas

The widespread use of plastic mulch in agriculture is rapidly increasing due to intensified farming practices. While plastic mulch can enhance crop yields significantly, it also introduces challenges related to waste management and environmental degradation. This study focuses on the application of Sentinel-2A imagery and the Maximum Likelihood Classifier (MLC) to classify plastic foils used in ea

Due to labor shortages and an aging workforce, businesses are having difficulty hiring and maintaining talented staff. Employer branding is an important factor in attracting and keeping top employees. However, current research on job seekers' expectations and fulfillment is lacking. This study explores job seekers' expectations and how they align with job and organizational culture in real

Preeclampsia (PE) occurs in up to 5% of worldwide pregnancies. It is a complex disease characterised by sudden onset hypertension, and it is harmful to the mother as well as the growing baby, accounting for 40% of fetal deaths worldwide. The disease can be divided into early and late-onset PE, defined as diagnosis earlier or later than 34 weeks of gestation. Despite decades of research, the cause

Trading commodities has been around for centuries, and today, most trading is done electronically on exchanges in derivatives contracts. Over time, regulatory bodies, specifically the CFTC, have sought to implement safeguards against market manipulation by participants. One such measure has been position limits on derivatives, which since January 1st, 2023, also includes so-called economically equ

To meet the future demands and growing challenges in operating heat-exchangers at temperatures greater than 600°C, it is crucial to understand the high-temperature oxidation performance of materials for their components. Namely, it is necessary to study oxidation kinetics and elemental composition of the oxide scale to understand how the materials behave and degrade in such extreme conditions. In

A central part for organizations in achieving intended strategies and successfully executing projects is project portfolio management (PPM). However, many companies fail to effectively manage projects related to strategy, and a little research has focused on the realization of PPM regarding organizational development. To gain further understanding of how PPM can contribute to a higher efficiency

Ett flertal studier har undersökt personlighet och kognitiv förmåga i förhållande till livsutfall. Det är däremot färre longitudinella studier som undersökt dessa samband, vilket medför oklarhet i hur mycket individuella skillnader kan förklara livsutfall. Syftet med denna studie var att använda senaste europeiska tvillingdata för att undersöka personlighet och kognitiv förmåga som prediktorer förNumerous studies have examined personality and cognitive ability in relation to life outcomes. However, longitudinal studies examining these relationships are relatively scarce, leaving the extent to which individual differences can account for life outcomes still unclear. The focus of this study was to use the latest European twin data to study personality and cognitive ability as predictors for

This research paper aims to identify the most effective algorithms for predicting electricity prices in the German day-ahead market, with a specific emphasis on how renewable energy sources, particularly wind and solar, influence hourly price pro- files. These profiles, or characteristic patterns, depict how prices fluctuate within a day. Different machine learning regression models and methods ar

Background: Purchasing and Supplier Relationship Management are becoming increasingly important as companies’ competitiveness increases. One part of this is Supplier Performance Evaluation (SPE), which is part of the final step in the purchasing process and can be performed in many different ways. SPE can ensure that suppliers are performing as expected and when not, actions can be taken. When mea

The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. This thesis consists of the creation o

Osteoarthritis (OA) is a heterogeneous inflammatory joint disease that affects around 240-250 million people worldwide. The disease is a prominent cause of disability and a leading source of societal expenses in older adults. As of today, personalized OA treatment is considered essential and is currently being addressed in several osteoarthritis guidelines. To explore the possibilities of precisio

Rheology is a science studying the flow, deformation and fracturing of a material. For a general understanding, this science is utilised to predict how a certain material will behave under certain conditions; in other words, the aim is the characterization of a material. (Wahlkrantz, 2020) This characterization is used to describe the elastic behaviour and the flow behaviour of a material. The ela

As computer systems grow larger and more complex, the task of maintaining the system and finding potential security threats or other malfunctions become increasingly hard. Traditionally, this has had to be done by manually examining the logs. In modern systems, this can become infeasible due to either the large amount of logs or the complexity of the system. By using machine learning based anomaly