Sökning: "Principal component analysis"
Visar resultat 16 - 20 av 375 uppsatser innehållade orden Principal component analysis.
16. Syntetiskt pärlemor : Producerat via in situ-kristallisation
Master-uppsats,Sammanfattning : This thesis describes a sequence of experiments which have been performed with the intention to produce synthetic nacre. Synthetic nacre is a biomimetic material based on nacre, a material which can be found in mollusc shells. Nacre is a nanocomposite which has improved mechanical properties compared to the principal component aragonite (95% wt%). LÄS MER
17. The Adoption of New and Used Electric Vehicles : The difference in the impact of financial factors for new vs. used electric vehicles
Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : The growth of the market for electric vehicles (EVs) is increasing each year with record numbers of newly registered electric vehicles in 2022. Electric vehicles are considered the key component of a sustainable transportation sector. The knowledge of influential factors on purchase decisions for new EVs is high. LÄS MER
18. FTIR mätningar av absorptionsvätskor i Bioenergy Carbon Capture and Storage processer
Kandidat-uppsats, KTH/KemiteknikSammanfattning : The effects of global warming are well understood. In order to combat this, society must move towards net zero emissions of green house gases, where carbon dioxide (CO2) plays a key role. In several IPCC climate scenarios that meet the Paris agreement, negative emission technologies that effectively remove CO2 from the atmosphere are included. LÄS MER
19. Environmental performance and sovereign bond yields: Evidence from emerging markets
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : This thesis analyses if investors price a country’s environmental (E) performance into sovereign bond yields. The sample consists of 17 emerging countries from 2011 to 2020. LÄS MER
20. Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. LÄS MER