Destruktiv ledelse og teorien rundt dette fenomenet er forholdsvis lite utforsket, både generelt, men også i luftfartsbransjen. Det finnes likevel noe forskning som denne studien kan knyttes opp mot. Destruktivt lederskap er til en viss grad utbredt, og denne typen ledelse har vist seg skadelig både for organisasjon og de ansatte. Denne studien belyser mulige sammenhenger mellom destruktiv ledelse, ...

Understanding methane flux dynamics in Arctic cold seep systems and the influence of oceanic currents on microbial methane-oxidizing bacteria (MOB) is crucial for assessing their impact on Arctic methane emissions. Here, we investigate methane dynamics and associated microbial communities at two cold seep areas, Norskebanken and Hinlopen Trough, North of Svalbard. Methane concentrations and methane ...

Artificial Intelligence (AI) and the underlying Machine Learning (ML) technology is experiencing increased applications in various areas. The training of ML models requires significant amounts of data, and data might contain restrictions regarding their permitted usage. High-performant models are often called black-boxes because of their complex decision-making process. Thus, ML applications threaten ...

Federated Learning (FL) is a privacy-preserving approach to train machine learning models on distributed datasets across different organizations. This is particularly beneficial for domains like healthcare and finance, where user data is often sensitive and tabular (e.g., hospital records and financial transactions). However, recent research like Tableak highlighted vulnerabilities that can exploit ...

The wind is essential in distribution of snow and the degree of avalanche danger. There are a lot of uncertainties regarding quantification of wind-transported snow, which is of importance for local avalanche warning and Remote Avalanche Control Systems (RACS) - which is conducted by Skred AS along Fv. 53 (County Road 53) Tyin-Årdal. A snowdrift sensor, FlowCapt 4 (FC4), is installed along this ...

For people with Type 1 Diabetes Mellitus (T1DM), engaging in physical activities (PA) presents unique challenges. The aim of this thesis was to improve the prediction of blood glucose (BG) levels for individuals with T1DM during and after PA. The study began with a literature review to guide the research direction and understand existing prediction models. Then particular emphasis was placed on ...

The advancement in the field of Artificial Intelligence (AI) has brought revolution in almost every field of life, and Journalism is also one of them. Which includes prospective use in Investigating reports and uncovering information. This project explores the avenue of integrating technologies such as Large Language Model (LLM) with the Vector Databases. At the same time, the motive is to address ...

Advanced analysis tools leveraging invasive tracking technologies such as gps and manual event tagging has become a global staple in top-tier soccer clubs for enhancing their strategical decision making and insight. These tools rely on precise coordinate data, with their effectiveness significantly enhanced when this data is produced in real-time. With the rapid advancement in computer vision and ...

The application of rare earth elements (REE) and neodymium (Nd) isotopes to authigenic Fe-(oxyhydr)oxide phases leached from marine sediments can be used for reconstructing past ocean circulation and chemical weathering patterns on nearby continental landmasses. To explore the behaviour of REE during chemical weathering in glacial environments, we analyzed the authigenic fraction of glacimarine ...

During a research cruise in the summer of 2022, a number of sediment cores were collected from the main headwall scar area of the Hinlopen Megaslide, northern Svalbard. In this study two of those sediment cores have undergone 14C AMS radiocarbon dating and a multi-proxy analysis to determine an accurate age for the slide deposits in this location. The results have been calibrated using the ...