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Realistic modelling of pedestrians in Autonomous Vehicles (AV)s and AV testing is crucial to avoid lethal collisions in deployment. The majority of AV trajectory forecasting literature do not utilize the motion cues present in 3D human pose because it is hard to gather large datasets of articulated 3D pedestrian motion. In this thesis we discuss the difficulties in data gathering and propose a ped
Coherence estimation between speech envelope and electroencephalography (EEG) is a proven method in neural speech tracking. This paper proposes an improved coherence estimation algorithm which utilises phase sensitive multitaper cross-spectral estimation. Estimated EEG coherence differences between attended and ignored speech envelopes for a hearing impaired (HI) population are evaluated and compa
Study region: Trelleborg is a mid-sized coastal municipality in southern Sweden that has experienced repeated pluvial flooding in recent decades. The city comprises areas served by both combined and separate sewer systems and is increasingly exposed to intense short-duration rainfall events. This study uses 17 years (2006–2023) of property-level flood reports, in situ rainfall observations from mu
Gaming disorder (GD) is an addictive disorder with health and social impacts recognized by the World Health Organization. Although the GD treatment evidence base appear to favor cognitive behavioral therapy (CBT), knowledge of its common practice elements is limited. This systematic review critically evaluates CBT interventions for GD, encompassing individual, group, and mixed approaches, to ident
Climate change is intensifying short-duration rainfall extremes, increasing urban pluvial flood risk across Swedish municipalities. This study develops a novel spatial statistical framework for basement flood risk assessment using Log-Gaussian Cox Process (LGCP) models on metric graphs, applied to 17 years of flood records from Trelleborg, southern Sweden.Unlike conventional approaches that treat
Urban pluvial flooding is a growing climate-related risk in Nordic cities, where short-duration rainfall extremes interact with aging drainage infrastructure and urban form. This study analyses 17 years (2006–2023) of property-level basement flooding reports from Trelleborg, a coastal municipality in southern Sweden, to identify empirical rainfall thresholds and infrastructural conditions associat
Forskning visar att rika individer har ett större klimatavtryck än befolkningen i stort.Rikedom innebär också symbolisk makt, där de rikas liv och vanor kan påverkanormer för vad som uppfattas som ett gott och eftersträvansvärt liv. Men hur ser densvenska allmänheten på rikedom och rika individer i ljuset av klimatförändringarna?Har rika ett särskilt ansvar att sänka sina koldioxidutsläpp? Och fin
This paper presents a search for exotic decays of the Higgs boson into a pair of new pseudoscalar particles, Formula Presented, where one pseudoscalar decays into a Formula Presented-quark pair and the other decays into a Formula Presented-lepton pair, in the mass range Formula Presented. The analysis uses Formula Presented collision data at Formula Presented collected with the ATLAS detector at t
The fast development of generative artificial intelligence (“AI”) services—such as ChatGPT, Midjourney, Dall-E—have within a short period of time gained immense uptake and popularity. At the same time, such services have given rise to fundamental challenges from a copyright perspective. Court proceedings have been initiated in many jurisdictions on the compatibility of such services with copyright
Background: Patients with diabetes admitted to emergency care face a higher risk of complications, including prolonged hospital stays, admissions to the intensive care unit and mortality. Aim: To develop a machine learning (ML) model to predict 30-day mortality in patients with diabetes admitted to the emergency department (ED). Design and setting: A cohort study utilizing data from all nine ED’s
Few-shot segmentation (FSS) tackles data scarcity using multiple priors, but its simplicity limits handling base and novel classes with limited data access. Generalized few-shot semantic segmentation (GFSS) enhances model performance for base classes with abundant data, while novel classes have limited data access, improving generalization with scarce data. Building on the design of query-based se
The Circular Economy (CE) concept continues to garner significant attention from stakeholders. Yet, what a CE entails in its realized state remains insufficiently articulated, particularly for product users. This study introduces a multilevel systems model that conceptualizes an economy-wide, fully implemented CE from the perspective of the product user. The focus is on the foundational tenets of
MATLAB and its companion product Simulink are commonly used tools insystems modelling and other scientific disciplines. A cross-disciplinaryintegrated MATLAB model is used to study the overall performance of theproposed 50m optical and infrared telescope, Euro50. However thecomputational requirements of this kind of end-to-end simulation of thetelescope's behaviour, exceeds the capability of an in
There exist several datasets for developing self-driving car methodologies. Manually collected datasets impose inherent limitations on the variability of test cases and it is particularly difficult to acquire challenging scenarios, e.g. ones involving collisions with pedestrians. A way to alleviate this is to consider automatic generation of safety-critical scenarios for autonomous vehicle (AV) te
