Sökning: "profiles"
Visar resultat 16 - 20 av 1398 uppsatser innehållade ordet profiles.
16. Thermal Conversion of Cellulose-Lignin Precursors into Carbon Fibres
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Nanoteknologi och funktionella materialSammanfattning : Carbon fibres are used in many applications thanks to their exceptional tensile properties in relation to their relatively low weight. These thin strands of at least 90% carbon are mixed with a matrix such as epoxy to form composites used for cars, wind turbines, prosthetics, and many other things. LÄS MER
17. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. LÄS MER
18. FOREIGN WAR,LOCAL WIN? : The invasion of Ukraine through the lens of onlinepolitical campaigns in the Czech Republic
Magister-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskapSammanfattning : In 2022, Russia started a full-scale invasion of Ukraine. This act had created turmoil outside of Ukraine’s border and politicians around the globe took this as a chance to promote themselves and their values. This thesis follows how was the war used in the Czech Republic during Senatorial, Municipal, and Presidential campaigns. LÄS MER
19. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER
20. Machine Learning model applied to Reactor Dynamics
Master-uppsats, KTH/FysikSammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER