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Importance: Patients with melanoma are selected for sentinel lymph node biopsy (SLNB) based on their risk of a positive SLN. To improve selection, the Memorial Sloan Kettering Cancer Center (MSKCC) and Melanoma Institute Australia (MIA) developed predictive models, but the utility of these models remains to be tested. Objective: To determine the clinical utility of the MIA and MSKCC models. Design
This study aims to establish a methodological framework for investigating deception in both spoken and written language production. A foundational premise is that the production of deceitful narratives induces heightened cognitive load that has a discernable influence on linguistic processes during real-time language production. The study includes meticulous analysis of spoken and written data fro
Deep learning has allowed for remarkable progress in many medical scenarios. Deep learning prediction models often require 105–107 examples. It is currently unknown whether deep learning can also enhance predictions of symptoms post-stroke in real-world samples of stroke patients that are often several magnitudes smaller. Such stroke outcome predictions however could be particularly instrumental i
Middle managers often find themselves in a challenging position: They have to impress different audiences in somewhat incompatible ways and represent and enact managerial ideals and expectations that may be detrimental to their work identities. This study explores role distancing as an alluring coping strategy. Role distancing – acts that express separateness between the individual and the enacted
Traffic congestion is a persistent problem in modern urban environments, causing delays, increasing pollution, and negatively affecting the quality of life of millions of city dwellers. As urban populations grow, the need for intelligent traffic man- agement systems becomes more pressing. This thesis presents a novel approach to real-time traffic management using edge computing in conjunction w
Almost 30 years have passed since the dismantling of South Africa’s apartheid system, putting an end to the long history of racial segregation, discrimination, and oppression. But has it really changed? This research highlights the emergence of Black Economic Empowerment (BEE) as an affirmative policy instrument to advance land reform and rectify the enduring inequalities in the country’s agricult
The geology of Vombsänkan is characterized by a complex sequence of Quaternary deposits overlying the Paleozoic sedimentary bedrock. The area is 759 km2 and has recorded several ice advances followed by glacial retreats and ice melting. The glacial history of Vombsänkan, which is controlled by sequential geological events such as active ice-margin and stagnant ice, formation of dead ice as well as
With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. Although the healthcare sector is moving slower compared to other industries, there is great potential for relieving healthcare w
This thesis investigates the narratives Icelandic politicians use to discuss crime, particularly focusing on themes of cultural purity and danger. The study aims to understand how these narratives influence public perception and policy. Politicians often frame crime as a significant threat to societal norms and values, using various rhetorical strategies to evoke emotions such as fear and urgency.
Rebound effects, though well-documented in consumption areas such as household energy consumption, have been far less explored in nutrition. This is despite the fact that the nutrition may be just as crucial of a consumption area when considering how to reduce carbon footprints in personal lifestyle choices. This thesis explores the existence of one of the possible mechanisms behind a rebound effe
This thesis presents a method, from an article by Gouveia and Stone, for solving resonant ODE:s as well as ODE:s with multiple roots, based on perturbation theory. It also gives a mathematical justification for the method as well as background on resonance and repeated roots. Later in the thesis we use the method to solve a number of ODE’s, illustrating its usefulness.
Automation with the use of robotics is a crucial trend across industries, enhancing efficiency and quality while improving health and safety conditions by minimizing human exposure to hazardous tasks. Alfa Laval, a global provider of products within heat transfer, separation, and fluid handling, is embracing this trend by exploring how to solve labor-intensive processes like the production of rubb
Soft power and public diplomacy compose the new reality shaping the dynamics of contemporary international relations. Strategic narratives represent an essential means for political actors to extend their influence, gain the public opinion’s support for their actions and fulfill their foreign policy goals. The thesis focused on the Chinese Party state’s construction of strategic narratives targete
In the summer of 2014, a violent conflagration erupted in the isolated Palestinian enclave of Gaza. Whilst the fighting was between Hamas and Israel, Palestinian civilians paid the price. The stark disparity in deaths triggered a debate in the West about Israeli tactics, and the media was accused of ‘bias’ by both Israelis and Palestinians. What this controversy reveals is that the argument is abo
This master’s thesis aims to support product-centered companies in their transition to a circular economy (CE) by developing a digital self-assessment and decision support tool. Circularity is a complex field that demands collaboration across multiple system levels. Although a wide range of frameworks, regulations and guidelines exist, the transition remains difficult for companies to navigate. Ex
Battery Electric Vehicles (BEVs) are increasingly adopted as sustainable alternatives to shift fossil fuel reliance. However, because of battery dependence, their heating systems face significant efficiency losses due to frost formation on heat exchangers in cold climates. This study investigates a capacitance-based sensing approach to detect ice buildup on automotive heat exchangers, aiming to op
This thesis studies the flood risks in Yogyakarta City, Indonesia, focusing on the Kali Belik River area, and explores the regulations and design principles aimed at enhancing flood risk reduction and management in the city. The discussion begins at the global level, analysing frameworks such as the Sendai Framework for Disaster Risk Reduction, and transitions to the local level, assessing the cha
Galectins are proteins that bind to carbohydrate structures, with high affinity for β-galactoside ligands that exists naturally in our bodies. They are involved in the development of various diseases, including central nervous system diseases and cancer proliferation. Galectin-1, which is the focus in this thesis, is related to anti-inflammatory and neuroprotective functions in the brain. Drug del
