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Introduction: This study evaluated lipid identification using mass spectrometry. Background: Three main modes of acquisition are used in mass spectrometry of lipids; data-independent acquisition (DIA), data-dependent acquisition (DDA) and targeted acquisition. DIA is the most including one, yielding a complete but complex data set, while targeted is the least including one, basing acquisition on
This report describes a systematic review regarding validations of calculations by measurements of isotopic compositions, or decay heat, on spent nuclear fuel, SNF. 15 relevant or otherwise interesting studies, were found. Two reports were chosen among the found studies and analyzed. One of the studies described validations made with experimental data from measurements of isotopic compositions on
The increase in contact resistance within battery systems remains poorly understood, despite being one of the primary contributors to battery degradation. This project aims to investigate this phenomenon by modeling the electrical interface as a contact between a pin and a busbar. The main goal is to build a DOE and machine learning framework, using Bayesian optimization to efficiently explore the
Betsockerprocessen är en energiintensiv process där ångdriven indunstning används för att avlägsna stora mängder vatten från den upprenade tunnsaften, som innehåller det från betorna extraherade sockret. I takt med industrins önskade fokus på energieffektivisering har membranteknologier för förkoncentrering av tunnsaften fått ett ökat intresse. Trots lovande resultat i ett begränsat antal försök åThe beet sugar process is an energy intensive process relying on steam evaporation to remove large amounts of water from the purified thin juice containing the sugar extracted from the beets. As the industry seeks greater energy efficiency, membrane technology for pre-concentration of thin juice has attracted interest. Limited trials have shown promise but fouling, sugar losses or high osmotic pre
This study investigates the corrosion behavior of a magnesium-zinc (Mg-Zn) alloy in a simulated body-like environment, with the aim of optimizing its degradation rate for biodegradable medical implant applications. These implants are designed to support bone healing and then gradually degrade once no longer needed, thereby eliminating the need for additional surgery. Magnesium alloys are promising
Research question: "How do young women construct and perform aspirational identities through the Clean Girl aesthetic on digital platforms?" Purpose: The purpose of this study is to expand the understanding of how trendy aesthetics on digital platforms like TikTok shape users’ identity construction and self-performance. Theoretical perspective: Two main theoretical fields, aspirational
Global food systems are increasingly vulnerable to climate change, energy volatility, and geopolitical disruptions—threatening the security and stability of perishable supply chains. This thesis investigates the potential of aseptic packaging technologies, specifically ultra-high-temperature (UHT) treatment and sterile filling, as a means to reduce energy consumption and enhance resilience in the
Buildings are responsible for approximately 30% of global energy use, with HVAC systems accounting for 40% of that demand. Among these, data centers have become significant energy consumers, requiring highly efficient and stable cooling solutions. This project aims to explore data-driven control methods to improve the energy efficiency of data center cooling systems as well as reduce the effort an
This study presents a custom surface electromyography (sEMG) data acquisition system combining the TI ADS1299 analog-to-digital converter, Teensy MicroMod micro-controller, and a Python-based graphical user interface for real-time signal monitoring and guided data collection. The system outperformed the widely used Ninapro dataset across all major classification metrics, demonstrating improved cla
Steam and water chemistry is fundamental for most power generation on indus trial scale. This includes the dosing of chemicals, the monitoring of both water and steam, as well as understanding the underlying causes to diagnose eventual problems. Öresundsverket, which was designed for seasonal operation, now has to perform multiple starts per year and in meeting these demands there is a possi bilit
Osteoarthritis is a multifactorial degenerative disease characterized by the breakdown of articular cartilage (AC), affecting hundreds of millions of people worldwide. Among many treatment options, hydrogels have emerged as promising candidates for cartilage replacement, due to their structural resemblance to the native tissue. Hydrogels can be made from various materials, and this study focuses o
This thesis examines how autonomous buses are interpreted and evaluated as a potential mobility solution within a multi-level planning context involving both municipal and regional perspectives. While autonomous vehicles are often framed as a key component of future sustainable transport systems, their implementation depends not only on technological development but also on social acceptance, inst
AIMS: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging, particularly in older individuals. We hypothesized that machine learning (ML) approaches could improve diagnostic accuracy compared with HFpEF scores.METHODS: We evaluated the diagnostic performance of four supervised ML algorithms (random forest [RF], extreme gradient boosting [XGBoost], support vector ma
We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr
Cu-based ternary catalysts often outperform their binary counterparts in the hydrogenation of CO2 to methanol. Unraveling the underlying synergistic effects among multiple components remains challenging and requires comprehensive operando characterization. In this study, we present a detailed investigation into the synergistic Cu−Zn−Zr interactions in inverse ZnZrOx/Cu catalysts, which show strong
The construction industry is a major contributor to resource consumption and waste generation in the EU, making the transition to circular construction essential. Reuse of building products is an important circular strategy, but large-scale implementation is hindered by limited market maturity and uncertainty regarding product availability. This study aims to investigate the gap between reported a
The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracranial large-and medium-vessel occlusion (LVO/MeVO) detection on head-and-neck CT angiography (CTA), was evaluated in a multicenter emergency setting. A prospective diagnostic-accuracy study of 3,031 adult CT angiograms (mean age, 67.3 years ± 16.4 [SD]; 1,549 females) acquired March-July 2024 across a
The power systems of drilling rigs have changed considerably since the early days of steam driven machinery. This paper reviews that progression, from mechanical and diesel electric configurations through to modern hybrid and renewable integrated systems, with a focus on the power conversion technologies that enable each stage. Coverage includes the electrical architecture of drilling rig power sy
