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Submission date: 20th May 2024 Course:BUSN49, Degree Project in Master’s Programme Managing People, Knowledge and Change, Business Administration Authors: Olivia Berglund and Stina Ekelius Supervisor: Roland Paulsen Purpose: The purpose of this study is to explore the impact of a robust organizational culture on employees' perceptions and affiliation with the company, particularly focus
This thesis examines the impact of the European Cohesion Policy on regional economic performance during the funding periods of 2007-2013 and 2014-2020, using a Regression Discontinuity Design (RDD) and spatial econometric techniques. The analysis leverages the eligibility rule, which grants additional funding to regions with a GDP per capita below 75\% of the EU average, creating a natural experim
Automatic segmentation of organs and tissues in computed tomography (CT) images can aid clinicians in anatomical contextualization for planning surgery or dosimetry. CT scans can cover varying axial ranges of the body. This thesis aims to develop a neural network based on vision transformers for segmenting organs and tissues in CT images of arbitrary axial ranges. Two models are presented, one bas
Amelogenin is an enamel matrix protein (EMP) that plays an important role during enamel formation. It guides apatite crystals to form in the right way and is later degraded during enamel maturation. Amelogenin has been shown to have regenerative properties in bones, teeth, and wounds, and is therefore interesting from a biomaterial perspective. The amelogenin has high self-assembly potential and c
In the conflict zone of Northern Syria, agriculture is the livelihood of a major part of the population. Nevertheless, the reasons for changes in agricultural land are manyfold. This paper looks at two areas in North Syria which have been under Syrian governance until the Syrian Civil War (2011) and were contested territory until 2016. Since then, the Rojava area has been governed by the PYD, a Ku
In orthopedic surgery, metals such as titanium and magnesium are commonly used in implants. To monitor the performance of the implant over time, magnetic resonance imaging (MRI) is often used. Due to the differing magnetic properties of metals and body tissues, disturbances, known as artifacts, appear on the images. This makes it difficult to discern the boundaries between the implant and the tiss
This thesis explores the potential of robotic assembly in constructing formwork-free vaults, aiming to modernize traditional vaulting techniques using robotic automation. The motivation behind it is to enhance buildability, sustainability, and efficiency in construction practices. Key hypotheses focus on the viability of using robotic systems to replicate and improve upon historical vaulting metho
With the vigorous development of the electric vehicle industry, there is an increasing demand for high-capacity, high-stability batteries, and higher requirements are also placed on clean, non-toxic, and efficient battery production processes. The electrode is one of the most important components in lithium-ion batteries. It determines the capacity and overall performance of the battery. The fabri
The world continues to boil due to capital’s incapacity to resolve its climatic contradictions. Stratospheric Aerosol Injection (SAI), a technological process theorised to instantly reduce global temperatures, has piqued the interest of a now desperate ruling class. Given its worldwide impacts, enormous risks, and capitalist- imperialist reproductive capacities, it is crucial to engage with SAI wh
This study investigated the effects of confirmation bias on episodic memory. This was achieved through an experiment assessing people's attitudes towards drugs and their recall of pro, neutral, and anti-drug news headlines. Our hypothesis was that participants would be better at remembering headlines that were in support of their beliefs and worse at remembering those that were against. 109 pe
The global call for more sustainable energy development and natural resource management hinges on both the technical ability and social capacity to harness the potentials from these resources. Symbolic Regression in Energy Engineering explores leveraging machine learning to solve renewable energy challenges arising from the notorious volatility of resources. Symbolic regression, a machine learnin
This thesis examines the approach differences between different sized organizations towards the increasing usage and availability of AI services, focusing on organizational structures and processes for service based companies in the private sector. Conducting semi-structured interviews with five managers while factoring to different sized organizations regarding approaches to operations, employmen
Recurring natural and man-made disasters are resulting in an increasing number of displaced people who need to be provided with urgent accommodation. Due to insufficient legal regulations and effective construction methods, refugees are often located in conditions defined as ‘temporary’, offering low quality of living conditions, degrading social environment and destructive impact on the city land
The violation of baryon number, B, is a vital component of a process promoting the excess of matter over antimatter, as it is necessary to explain the baryon imbalance observed in the universe. Since experimental evidence for such an occurrence has yet to be discovered, the HIBEAM-NNBAR experiment, at the European Spallation Source facility, is a proposed two-stage program aimed at expanding the c
This paper will focus on the environmental effect of certain building materials after they have served the purpose of what they were designed for. Mainly it will try to answer the question: What would be the better option for the used product? Energy recovery, recycling, or reuse of the materials? And from which standpoint is it better to do any of these three. How does this effect the environment
This study aims to explore the impact of Short Local Food Supply Chains (SLFSCs) from the perspectives of producers and consumers in rural Spanish areas. Focused on the marginalized and rural areas such as Valle del Jerte (Cáceres,Extremadura) and La Garrotxa (Girona, Catalonia), this research employs a mixed-method approach, integrating qualitative data from interviews with supplementary survey
This study investigates whether asset allocation using public sentiment from social media data can enhance portfolio performance compared to traditional strategies. By constructing a sentiment index based on tweets about major NASDAQ-listed companies and employing machine learning and natural language processing techniques, we forecast public sentiment to inform a dynamic asset allocation strategy
This study aims to investigate whether cultural, institutional, and geographic distances between European lead investors and startups affect returns to Venture Capital (VC) investments. A cross-sectional analysis of 332 European VC investments initiated in 2015 and 2016 within the European Union (EU), European Economic Area (EEA) and European Free Trade Association (EFTA) was conducted. Four diffe
In the context of Russian invasion of Ukraine in February 2022, strategic autonomy (EU-SA) debates in the European Union have gained new saliency, especially in policy area of security and defence. EU-SA in the Common Security and Defence Policy (CSDP) revolves around the issue of EU assuming greater responsibility for its security and defence. The shift towards becoming strategically autonomous t
This study delves into the healing experiences of some Swedish citizens aged 65 and above following the loss of a loved one. Employing a qualitative approach, six interviews were transcribed and analyzed through Reflexive Thematic Analysis. The identified themes include Exploration of the Pre-loss Phase, Intrinsic Factors, External Factors, Progression Towards Acceptance, Embracing the Present Mom
