Sökning: "Alexander May"
Visar resultat 1 - 5 av 292 uppsatser innehållade orden Alexander May.
1. Hormonal Influence on the Proliferation Potential of C17.2 Neuronal Progenitor Cells
Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The brain is arguably the most complex organ of the body: Controlling muscles, maintaining homeostasis, processing information. It has the longest developmental period of any organ, and hormones are essential during its development. LÄS MER
2. Beyond Profits: Exploring the Investment Styles and Risk-Adjusted Returns of ESG-Driven Portfolios
Kandidat-uppsats,Sammanfattning : This study uses daily data to examine how different ESG implementations affect performance and portfolio characteristics. With a non-homogenous view of how ESG investing is defined, ten different value-weighted portfolios are constructed. The geographical focus is the US market, with the S&P 500 total return index (SPXTR) as the screening universe. LÄS MER
3. Predicting heart failure emergency readmissions
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. LÄS MER
4. Flash Pulse Thermography Measurements of Coat Thickness
Master-uppsats, Umeå universitet/Institutionen för fysikSammanfattning : The application of varnish, metal coats, and paint is a common practice for modifying or enhancing material properties. Metal coats are frequently used as protective layers against corrosion, heat, and wear, while also influencing characteristics like conductivity, weight, and production costs. LÄS MER
5. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER