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Den legitimerade sjukhuskuratorn: En studie om legitimationens effekt och inverkan

As of 2019 Swedish health care social work has received authorization and its effect has since been discussed. To become an authorized healthcare social worker today you are expected to complete a one-year academic specialization on top of your Bachelor’s degree in Social Work, which has been met by a mainly positive yet mixed reception. This study aims to understand the authorization's impact

Disturbance within groups of white storks (Ciconia ciconia) in Southern Sweden and the effect on reproductive success

Hur påverkas storkar av stökiga grannar och grannfejder? Som många arter påverkas även vit stork (Ciconia ciconia) av förändringar i deras levnadsmiljö som leder till färre födo- och boplatser. Men det sker även förändringar på de mindre skalorna, inom regionala populationer och lokala kolonier. Vem storkarna bor granne med kan påverka deras häckningsframgång, alltså hur många ägg de lägger underThe white stork (Ciconia ciconia), a once common species in southern Sweden, went extinct in the 1950s due to changes in agricultural practices, and is now listed as “Endangered” according to the Swedish Red List, since the population is too small to be viable on its own. Thanks to the ongoing reintroduction programme, there are now 70 breeding pairs in southern Sweden. This study aimed to verify

Identifying neuromodulatory input neurons to the fan-shaped body of the insect central complex

Insects exhibit exceptional navigational abilities utilizing a compartment of their brain known as the central complex (CX). The CX comprises four distinct neuropils. These include the protocerebral bridge (PB), the fan-shaped body (FB), the ellipsoid body (EB) and the noduli (NO). Functionally, the CX has been implicated in encoding the insects current heading, its goal heading, and in instructin

How does Belief in a Just World and Gender affect Victim Blaming in a Dynamical Context?

This study aimed to investigate how a belief in a just world and gender affect victim blaming in a dynamical context, while controlling for age as a background variable. A total of 60 participants were included in the study, gathered through a convenience sample. The study was conducted as a survey with a dynamically evolving scenario of a sexual assault, where participants attributed blame to bot

Modelling flow in hydrocyclones using physics-informed neural networks

Hydrocyclones are important pieces of equipment used within the mineral processing industry, where they are used for sorting ore particles suspended in water based on their size. The turbulent flow within a hydrocyclone is today usually modelled using demanding computational fluid dynamics (CFD) simulations. In this thesis, we explore the use of physics-informed neural networks (PINNs) as an alter

Machine Learning for Anti-Poaching: Decision Tree Applications on the Savannah

The use of technology, specifically machine learning, to address complex issues in developing regions has become increasingly prominent. In the context of wildlife conservation, combating poaching has emerged as a significant application of such technology. This research project aims to develop machine-learning-based low-cost antipoaching solutions. It presents three case studies, each exploring a

Ye or Nay? - When Partnerships Turn Sour

The date is October 8th, 2022 in Herzogenaurach, Germany. You are a board member of Adidas, a world renowned sportswear brand - a brand which has seen an immense growth over the past decade, growth which has also translated into a record valuation for the company in the stock market. But today is not a day which calls for celebration. One of your key collaborators, a person which you could attribu

“Det känns bra att kontrollera vad jag äter, då är jag ju i alla fall bra på något” En kvalitativ studie om unga kvinnor och deras upplevelser av ätstörningar.

Eating disorders are a common psychiatric issue, with women aged 19-24 at the highest risk of becoming ill. Research indicates that one of the primary causes of this illness is media usage, driven by the content of media platforms. Although it has been established through research that media content contributes to young women's critical perception of their body image, the publication of an est

Path-Planning Algorithms for a Levitating Planar Motion System

Multi-agent pathfinding (MAPF) is becoming increasingly interesting because of its role in complex systems, such as warehouse sorting, search-and-rescue missions and autonomous vehicles. Another application for path planning is within production in industry when more advanced solutions than conveyor belts are developed. One such advanced transportation system is the XPlanar system, which is produc

Amide functionalization of sialic acid – a synthesis towards kinetic studies

Sialinsyra är ett samlingsnamn för enkla sockerarter som har en ryggrad bestående av 9 kol, med bland annat en karboxylsyra och en glycerolsvans. Sialinsyra förekommer naturligt i kroppen hos däggdjur. Hos människan är Neu5Ac den mest förekommande sialinsyran, och när man refererar ospecifikt till sialinsyra brukar det vara Neu5Ac som avses. Neu5Ac går att hitta i änden av de kolhydratkedjor som Sialic acids are a family of 9-carbon sugars which contain a carboxyl group and a glycerol chain. Neu5Ac is the most common sialic acid in humans and occurs at the terminal position of glycoconjugates covering the cell surface. Neu5Ac is involved in several different processes in the human body and plays an important role in several physiological conditions and pathogenic diseases. Sialic acid is

Vässla – The Cost of Ambition

This case explores the rise and challenges of Vässla, a Swedish electric micromobility startup that positioned itself as a premium, sustainable alternative to gas-powered scooters. Despite strong brand differentiation, consumer demand, and initial success, Vässla faced operational difficulties and financial instability. Set in 2019, this case challenges students to assess whether Vässla’s brand st

Machine Learning for Mortality Risk Prediction: A Study on Cohort Data

This thesis explores the application of machine learning techniques to predict mortality risk using data from the Swedish Adoption/Twin Study of Aging (SATSA). Through the development and evaluation of multiple supervised learning models, including Random Forest and Histogram Gradient Boosting classifiers, the study examines mortality predictors across 10-year and 20-year timeframes. The models ac

Method Development for PKM2 Activity Analysis in Cancer-Associated Signaling Pathways

Introduction: PARP14 belongs to the superfamily of PARPs that perform ADP-ribosylation of target proteins. The enzyme is involved in many cellular processes, including regulation of glycolysis, protein degradation, and genomic reparation. Background: PKM2 has been shown to be regulated indirectly by PARP14 to promote the Warburg effect. This describes an alternative glycolysis that cancer cells a

Attityder till ADHD i socialt arbete: en kvalitativ analys

This study focuses on attitudes towards ADHD in social work amongst social workers diagnosed with ADHD, their managers, and their colleagues. The study consists of six semi-structured interviews, done mostly over video calls. Two of the participants are social workers diagnosed with ADHD and four of the participants are managers who have co-workers that have been diagnosed with ADHD. The result ha