Sökning: "D- day"
Visar resultat 1 - 5 av 257 uppsatser innehållade orden D- day.
1. Exploring alternative surfactants to replace PEG within lipid nanoparticles
Master-uppsats, Lunds universitet/Livsmedelsteknik och nutrition (master); Lunds universitet/Bioteknik (CI); Lunds universitet/Bioteknik (master)Sammanfattning : Over the past decade an increasing amount of studies has demonstrated that PEGylation not only precipitates reductions in drug delivery efficiency but also triggers the immune system to produce antibodies, specifically anti-PEG antibodies. The objective of my thesis is to explore alternative surfactants that could viably replace PEG within lipid nanoparticles. LÄS MER
2. Parasitära anmärkningar vid renslakt 2013–2022
Master-uppsats, SLU/Dept. of Clinical SciencesSammanfattning : Det finns idag 240 000 renar i vinterhjorden i Sverige, och renskötsel bedrivs på 55 % av landets yta av urfolket samerna. Renskötsel är en unik djurhållning, där de semi-domesticerade renarna lever fritt i skog och fjäll. LÄS MER
3. Optimering av paketdistributionen på ett fallföretags pakettransportrutt
M1-uppsats, Högskolan i Gävle/Avdelningen för industriell ekonomi, industridesign och maskinteknikSammanfattning : Internal transportation is one of the key elements in manufacturing operations, and there is a constant need to optimize this process (Antoniuk, 2021). The case company has a very large industrial are covering 3 km2, which poses significant challenges for the internal transportation. LÄS MER
4. Techno-Economic Optimization and Control of Hybrid Energy Systems
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : The increasing demand for renewable energy sources to meet climate targets and reduce carbon emissions poses challenges to the power grid due to their intermittent nature. One potential solution to maintain grid stability is by implementing Hybrid Energy Systems (HESs) that incorporate a Battery Energy Storage System (BESS). LÄS MER
5. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. LÄS MER