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Surgical education is traditionally based on apprenticeship and supervised practice, but limited availability of experienced surgeons, restricted access to training cases, and subjective feedback create challenges for efficient surgical training. Solutions utilizing machine learning and computer vision for automating instrument tracking and automated phase recognition have been investigated in lap
A model was developed to calculate shoreline retreat due to sea level rise applicable for coastal areas with complex topography, varying wave and sediment conditions, and limited material supply. As a test case, the model was employed to the south Swedish coast to demonstrate the possibility to investigate large geographical areas using readily available input data. Equilibrium profiles of differe
Immune checkpoint blockade (ICB) has improved outcome for patients with metastatic melanoma but not all benefit from treatment. Several immune- and tumor intrinsic features are associated with clinical response at baseline. However, we need to further understand the molecular changes occurring during development of ICB resistance. Here, we collect biopsies from a cohort of 44 patients with melanom
INTRODUCTION: We assessed whether macro- and/or micro-structural white matter properties are associated with cognitive resilience to Alzheimer's disease pathology years prior to clinical onset. METHODS: We examined whether global efficiency, an indicator of communication efficiency in brain networks, and diffusion measurements within the limbic network and default mode network moderate the associa
Caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) primarily manifests as respiratory dysfunction. However, emerging evidence suggests SARS-CoV-2 can invade the brain, leading to cognitive impairment (CI). It may spread to other brain regions through transsynaptic neurons, including the olfactory, optic, and vagus nerves. Moreover, it may in
From the beginning of the 21st century, there has been a tendency to hybridize Buddhism with modern technology, which embodies rich ambiguities. At the conference AI World 2016, a robotic monk Xian’er with artificial intelligence(AI) premiered in China and was claimed as the icon of the harmony of techno-Buddhism. This paper will explore the ambiguity of Xian’er – why and how the harmony comes int
Diel vertical migration (DVM) is performed by various zooplankton taxa. The general movement pattern of DVM has been well studied while the possible clonal differences of this movement largely remain unknown. My master thesis focus on investigating the effects of environmental stressors on Daphnia magna strains isolated from natural populations. Here I maintained 11 strains of Daphnia magna origin
Current research suggests that human behaviour impacts on acceptance of new technology and that perceived usefulness (PU) and perceived ease of use (PEU) are two main factors determining behavioural intent and actual behaviour of technology users. This study examines the Technology Acceptance Model (TAM2) as developed by Venkatesh and Davis in 2000 with a particular focus on PU through the lens of
The retailing sector plays an important role in sustainable development and climate change. The grocery retailer serves as an intermediary between suppliers and consumers, and is thus in direct contact on a daily basis with consumers. This gives all stakeholders unique position from which to influence each other, i.e. on the production and consumption part of products, but also on in-store activit
En av behandlingsmetoderna mot tumörer i levern på Lunds Universitetssjukhus är SIRT som står för ”Selective Internal RadioTherapy” det vill säga en intern radioterapeutisk behandling, i detta fall specifikt för levern. Behandlingen är cirka tio år gammal och i Lund har den utförts sedan december 2010. Under våren 2012 behandlades tre patienter med SIRT då de inte kan få sina cancertumörer i leverIntroduction: Cancer treatment is a process with continuous development. The most common treatment, within the field of radiation physics, is external radiation therapy, whereas one of the least common methods is Selective Internal RadioTherapy (SIRT). SIRT is a rather novel method for treating liver carcinoma. Microspheres containing 90Y are infused directly into the liver, via the hepatic artery
Hardware today can be inaccessible to users due to cost or the customer’s desire for flexibility. By using virtualization one can reduce customer costs while increasing flexibility. To do this, companies might need to redesign or migrate their hardware to suit a virtualized environment. However, migration from custom to virtual hardware introduces security risks. This thesis, therefore, explores t
Cleft lip and palate belong to the most common deformities present at birth. The condition hampers normal speech development in children, and treatment involves both surgery and regular sessions with a speech pathologist. The speech pathologist assesses the child’s speech impairment stemming from the condition on a three-point scale: "Competent", "Marginally incompetent" and &q
This paper is interested in the phenomenon whereby Absolut as a brand has become successful regardless of the fact that it promotes a generic product: vodka. However, instead of considering the most established factor for brand success, brand equity, this qualitative study attempts to use a more cultural-based approach in order to delve deeper into the questions of why the consumer actually connec
Background: Measurement of glycosylated hemoglobin (HbA1c) is a standard procedure for assessing long term glycemic control in individuals with diabetes mellitus as it gives the stable and reliable value of blood glucose levels for a period of 90–120 days. Point-of-Care testing is becoming more and more important due to rapid results and improved experiences for patients. In this project, eight su
Inverse problems are important in quantum physics as their solutions are essential in order to describe a number of systems using measurable information, e.g. excitation energies or material properties. The problem with inverse problems is that they are usually very hard to solve. One method that could be useful in solving these problems is artificial neural networks. Artificial neural networks ha
This study analyses Chinese people's engagement in #MeTooinChina against sexual assault and patriarchal norms in Chinese society by asking three main research questions: 1) Why and how do Chinese people engage with #MeTooinChina? 2) What challenges are they faced with in their engagement and how do these challenges influence their continuous engagement with #MeTooinChina? 3) How do they reflec
This project is essentially an extension of the Wikihouse Skylark construction library. However, it is extended through the lens of value reproduction within an open system—by extracting the fundamental logic and information of the original system and identifying its most basic meta-information. Based on this meta-information, new components are developed that remain compatible with other elements
This study investigates how EPU affects stock returns and volatility for Sweden’s four largest banks: Swedbank, Skandinaviska Enskilda Banken, Svenska Handelsbanken, and Nordea. As a small open economy with a concentrated and globally exposed banking sector, Sweden is particularly vulnerable to both domestic and international uncertainty shocks. Using monthly data from 2000 to 2024, we apply a GAR
