Sökning: "proliferation"
Visar resultat 1 - 5 av 420 uppsatser innehållade ordet proliferation.
1. Compelling Your Friends : Alliance Coercion as a Tool for Inducing Nuclear Reversal
Kandidat-uppsats, Uppsala universitet/Institutionen för freds- och konfliktforskningSammanfattning : .... LÄS MER
2. Staten på reträtt i Sahel? En kvalitativ fallstudie om statskapacitet och militärkupper i Burkina Faso
L2-uppsats, Lunds universitet/Statsvetenskapliga institutionenSammanfattning : This thesis employs process tracing to examine the retreat of state authority and the rise of military coups in Burkina Faso, set against the backdrop of the Sahel region's complex political dynamics. The study delineates the erosion of state capacity and the causality with the proliferation of military coups. LÄS MER
3. 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
4. Atomic Ambiguity: Geopolitical Rivalries and the Dynamics of Nuclear Decision-Making
Kandidat-uppsats, Uppsala universitet/Institutionen för freds- och konfliktforskningSammanfattning : This thesis explores the intricate relationship between geopolitical rivalries and the transition from nuclear latency, emphasising the role of these rivalries in shaping nuclear decision-making. Utilising a comparative study of the India-Pakistan and Argentina-Brazil dyads, the research investigates how variations in geopolitical rivalry intensity influence states' resolve to either pursue nuclear proliferation or reversal. LÄS MER
5. AI-based image generation: The impact of fine-tuning on fake image detection
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER