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Background: The literature reviewed in the context of this master’ programme frequently refers to the enormous and increasing flows of people in the global era (Dicken, 2007; Lechner, 2004; Yeates, 2008); consequently, these flows have different directions and motives and represent diverse types of migration and migrants. As a result, the pivotal point here is the specificity of scientific migrati
This thesis addresses the need for robust price forecasting in the volatile Rare Earth Elements (REEs) markets. With a specific focus on neodymium, given it is the most utilized REEs, we investigate how feature selection can be effectively performed to guide REE price forecasting by proposing and evaluating three distinct methodologies: Adaptive Lasso, Post-Double Selection (PDS), and an integrate
Geospatial data analysis plays a critical role in a wide range of applications, from urban planning and environmental monitoring to disaster response and infrastructure management. However, it remains technically demanding and largely inaccessible to non-experts due to the complexity of geospatial data structures, domain-specific tools, and the need for advanced programming knowledge. A particular
A gamma-charged particle coincidence spectroscopy setup was constructed, with the intended purpose of analysing future aerosol samples from the ESS. The setup consists of a Compex composite high purity germanium (HPGe) detector, with a bismuth-germanate oxide (BGO) anti-Compton shield (ACS), and a single-sided silicon strip detector (SSD). A 207Bi sample was used to evaluate the performance of the
Pollinators such as Bombus terrestris play a vital role in ecosystem stability and agricultural productivity. Developing methods to estimate key biological traits such as age and weight is crucial for advancing ecological understanding and conservation efforts. In eusocial insects like B. terrestris, age and weight influence behaviour, task allocation, and survivability, but traditional methods fo
The increasing use of 5G networks and their application in critical services makes them vulnerable to Distributed Denial of Service (DDoS) attacks. This thesis investigates the detection and mitigation of DDoS attacks in 5G networks using machine learning (ML) methods. In particular, it analyses two exciting convolutional neural network (CNN)-based models: the LUCID model and the Mohak model, and
With the rapid advancement of electromobility sector, the power density and heat generation of electronic chips is significantly rising. Due to its higher load and lower thermal mass, electronics chips in BEV inverters, such as MOSFETs, are increasingly susceptible to rapid temperature rises. Through the utilization of latent heat absorption, Phase Change Material (PCM) offers a promising passive
The thesis investigates European economic policy uncertainty and its influence on the currency risk premium embedded in the EUR/USD exchange rate. We build a time-series regression model utilizing monthly data from 1999 to 2020. Currency risk premium is proxied with realized excess returns. The model uses control variables for inflation differentials, and global risk sentiment, proxied by the VIX
RQ: What is the relationship between organizational structure and its sustainability efforts, and how do perceptions of sustainability efforts vary across different job functions within a company? Purpose: The purpose of this paper is to better understand the current state of sustainability efforts in large organizations. Especially to recognize how the structure of the company might pose issues
Uppsatsen syftar till att undersöka hur miljöförsvarare kan skyddas inom EUrätten i utövandet av civil olydnad. Syftet baseras till stor del på- och inspireras av Guidelines on Peaceful Environmental Protest and Civil Disobedience som Specialrapportören för miljöförsvarare under Århuskonventionens nyligen har publicerat. Vidare bygger uppsatsen på ett antal internationella konventioner för att undThis graduate thesis aims to examine possible avenues for protection for environmental defenders exercising civil disobedience within the EU legal framework. The aim is based on and inspired by the Guidelines on Peaceful Environmental Protest and Civil Disobedience published in 2025 by the Special Rapporteur on Environmental Defenders under the Aarhus Convention. Further, the graduate thesis buil
The increasing demand for electric vehicle charging stations creates new challenges for electric grid planning. This thesis proposes a framework for forecasting realistic 24-hour peak load profiles for new direct current fast-charging stations without historical observations. The method combines $K$-means clustering of existing stations’ hourly load patterns and random forest models that predict b
The global decline of seagrass meadows has increased the need for effective restoration strategies, yet recovery is often limited by physical environmental stressors. This thesis investigates the hydrodynamic thresholds influencing seagrass seedling survival and recruitment along the Adelaide coastline in Gulf St. Vincent, South Australia. The study focuses on two sites with similar environmental
The North Atlantic region is a key component of the climate system via large-scale atmosphere and ocean circulation. Climate field reconstructions can provide a long-term context for ongoing climate change and contribute to our understanding of climate dynamics, impact of external forcings, and act as references for model evaluation and baseline for natural variability. There are distinct differen
This thesis investigates simulating X-ray computed tomography with two primary objectives: developing a virtual representation of an X-ray computed tomography scanner and generating labelled synthetic training data for deep learning-based fibre segmentation. A simulation pipeline to generate X-ray projections based on the Beer-Lambert law was developed using the open-source framework gVirtualXray.
INTRODUCTION: Women are increasingly entering the dementia research workforce, but they frequently fail to attain senior leadership positions in academia. Discrepancies in academic research outputs were investigated to guide equity-focused policy recommendations.METHODS: Bibliometrics was conducted on 400,482 original research articles (2003-2022) followed by surveying the AD/ADRD research communi
Objectives To assess the performance of the ALL IN TRIPLEX rapid antigen-based test for SARS-CoV-2, influenza A, influenza B, and respiratory syncytial virus. We focus on the potential of the test to be used in acute clinical settings as a marker of infectiousness, by determining the sensitivity at different real-time PCR cycle threshold (Ct) levels, as well as the quantity of absorbed viral RNA n
BackgroundNearly 10% of the global population living with dementia resides in South Asia, a region of over two billion people with limited diagnostic and care resources. Clinicians require accessible, flexible, and contextually relevant training to improve dementia care in frontline settings.AimTo develop, pilot, and implement a multi-modal, interactive, hybrid training program to improve clinicia
Background/Objectives: Radiostereometric analysis (RSA) is the gold standard for measuring implant migration, with CT-RSA increasingly used as an alternative. To evaluate CT-RSA, it is important to assess data that include the surrounding soft tissues, rather than data from simplified phantoms, while also avoiding unnecessary radiation from multiple scans. This study proposes a method for generati
This study presents a coupled model incorporating a thermal propagation model and a fire model to investigate the fire safety of a large lithium-ion battery (Li-ion) module. The thermal propagation model employs a three-dimensional (3D) finite element method (FEM), while the fire model utilizes computational fluid dynamics (CFD). Literature data on material properties and thermal runaway character
