Search for dissertations about: "parallel evolution"
Showing result 6 - 10 of 140 swedish dissertations containing the words parallel evolution.
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6. Hematopoietic Serine Proteases from the Mast Cell Chymase and Tryptase Loci - a Functional and Evolutionary Analysis
Abstract : Mast cells are key effector cells in allergic and inflammatory diseases. However, their primary role is most likely in host defence against parasitic and bacterial infections. Mast cells are a particularly rich source of serine proteases. READ MORE
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7. Quo vadis? Insights into the determinants of evolutionary dynamics
Abstract : Predicting future evolutionary outcomes and explaining past and current patterns of biodiversity are fundamental goals in evolutionary biology. Trajectories of evolving populations are determined by evolutionary mechanisms (natural selection, mutation, genetic drift, and gene flow) and the environment in which the populations are found. READ MORE
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8. Mating strategies and sexual conflicts in aquatic invertebrates: consequences for evolutionary differentiation
Abstract : In this thesis I investigated how mating related strategies may differ among populations and how these strategies evolve in response to their local ecological environments. I have used two different study systems of aquatic invertebrates: diving beetles (Dytiscidae) and the fresh water isopod Asellus aquaticus. READ MORE
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9. Systematics, phylogeography and multiple origins of morphs in two species complexes belonging to Cistaceae, Helianthemum oelandicum and H. nummularium
Abstract : The Helianthemum oelandicum complex shows considerable morphological variation across its geographic distribution in Europe and western Asia. By combining four primer pairs and four restriction enzymes I identified nine cpDNA haplotypes with distinct geographical distributions. READ MORE
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10. Design Methods and Processes for ML/DL models
Abstract : Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless, the end-to-end process of developing, deploying and evolving ML and DL models in companies brings some challenges related to the design and scaling of these models. READ MORE