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High tide flooding (HTF) is becoming more common in coastal regions of the United States, although this phenomenon remains largely undocumented in published literature from other parts of the world. No matter the emissions scenario over the next decades, sea level rise (SLR) is projected to continue worldwide until at least the end of the 21st century, continually pushing the frequency and severit
The ever-increasing interest in electrical vehicles around the world creates a strong developing curve for demand for batteries in electrical vehicles. Meaning, the batteries needs to be able to function better and for a longer time without being destroyed in the process. At the same time the batteries also needs to be rechargeable to not unnecessarily pollute the environment. A battery management
Abstract Introduction: this study is about optimization and application of a new liquid chromatography tandem mass spectrometry method with reversed phase instead of HILIC column for analysis of methylmalonate. Background: methylmalonate cannot be broken down if there is a low level of cobalamin. Therefore, the investigation of lack of cobalamin is supplemented with, among other things, methyl
Political shocks are unexpected events that could cause great consequences depending on the seriousness of the shock. These shocks do not only harm the stock market but also the foreign exchange market. Thus, I aimed to investigate how and whether political shocks show significant effects in the weekly profit of categorized currency pairs, such as English-speaking countries’ currencies, Asian coun
Emergency planning is required to respond to the increasing wildfire threat. A part of this is to assess a community’s capacity to move to a safe place during wildfires. This can be achieved by calculating the time it takes for a community to evacuate from an at-risk area to a relatively safe place. Simple approaches, such as the commonly used engineering calculation, may provide access to a broad
Artificiell intelligens kan leda till disruptiva innovationer som verksamheter måste ta ställning till för att fortsätta vara konkurrenskraftiga. Med profilerade fall som Cambridge Analytica har etik i förhållande till datadriven AI fått en ny betydelse. Riktlinjer har framlagts för att vägleda organisationer till hur de ska förhålla sig till etik och AI. Det har framkommit att dessa dock inte föl
Detta examensarbete har undersökt tillämpningen av förpackningar för färsk frukt och grönsaker, med fokus på onödiga förpackningar. Olika faktorer påverkar frukt och grönsaker efter skörd som är relevanta att beakta vid förvaring och hantering. Syftet har varit att undersöka hur användningen av förpackningar ser ut för frukt och grönsaker. Arbetet ska även utforska butikers och konsumenters syn This degree project has studied the use of packaging for fresh fruits and vegetables focusing on excess packaging. Different factors after harvest affect fruits and vegetables that are of relevance to consider when storing and handling these. The purpose of this study has been to find used. The approach on the subject from out how packaging for fruits and vegetables is grocery stores and consume
Objective Image Quality Assessment (IQA) is crucial for evaluating and ensuring the fidelity of images. Traditional human-based evaluations, although reliable, are impractical due to their cost and slow pace, combined with subjective inconsistencies. This thesis aims to address these issues by developing a test and quality bench for Bertin Exensor's dual-head camera, integrating both infrared
The High Luminosity-Large Hadron Collider (HL-LHC) will reach an approximate pile-up of 200 collisions per bunch crossing, ten times more than the current Large Hadron Collider. Beginning operation at the end of the decade, it will accumulate 3000 fb−1, increasing the chances of observing new processes and allowing measurement of rare processes with higher precision. Moreover, the pile-up increase
Arabica coffee production in Africa has declined significantly over the last half century, partly due to Coffee Berry Disease (CBD), caused by the fungus Colletotrichum kahawae. This disease results in substantial economic losses, estimated at USD 350- 500 million annually. Recent advancements in machine learning (ML) and computer vision offer powerful tools for disease detection. However, annotat
Understanding the pH sensitivity of proteins and enzymes across intracellular compartments is crucial for fundamental research. Lizatović et al. [1] aimed to design a peptide incorporating a specific amino acid to form a hexamer structure and lacking it to form a pentamer structure. Unexpectedly, two distinct structures emerged based on pH. At pH 6, a hexamer structure formed, albeit with a surpri
Atrial fibrillation (AF) is an arrhythmia distinguished by irregular heartbeats, which has seen a significant rise in prevalence globally. Due to the risk of strokes, the condition necessitates early detection and intervention to prevent severe complications, highlighting the critical role of early and precise detection techniques. To effectively train and validate machine learning (ML) models, ha
This thesis details the development, implementation, and optimization of a local microservice designed to enhance invoice processing at Hulo, a company that manages au- tomatic payment invoices. This is conducted through Artificial Intelligence (AI) and Machine Learning (ML) techniques, focusing particularly on Computer Vision and Object- detection. Motivated by the need to address the inefficienc
Favouring good soil health is pivotal for ensuring long term agricultural production by minimizing erosion, increasing soil carbon content, increasing the soil water holding capacity and decreasing the soil bulk density. Certain land management practices can disfavour factors for soil health and in-extent lead to soil degradation which can threaten food production and natural habitats. Soil organi
Thanks to the ever-increasing computational power, machine learning has become a staple in computer science. Many computer vision methods have become so reliable that their implementation in the surveillance industry is now the de facto standard for many object detection and classification tasks. The use of machine learning for surveillance is not confined to images and videos, however, it is also
Aims and methods: This study examines the discourse surrounding honour-related violence and oppression, referred to as honour violence. A discourse analysis was conducted on material from the state and organisations working with HRVF, collaborating with midwives. Two in-depth interviews with midwives gathered firsthand experiences from professionals encountering potential victims of honour violenc
