Search for dissertations about: "mazur"
Showing result 1 - 5 of 8 swedish dissertations containing the word mazur.
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1. Maf and Mitf transcription factors regulate pancreatic endocrine cell differentiation and function
Abstract : Diabetes - the imbalance in glucose homeostasis is partially caused by loss or dysfunction of pancreatic insulin producing β cells or development of insulin resistance. In Type 1 diabetes β cells are destroyed in the process of an autoimmune attack, whereas in Type 2 diabetes, islets produce insufficient amounts of insulin or the insulin cannot be used adequately. READ MORE
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2. High Spectral Efficiency Fiber-Optic Transmission Systems Using Pilot Tones
Abstract : Modern fiber-optic communication systems combine state-of-the-art components with powerful digital signal processing (DSP) to maximize the system spectral efficiency (SE). Systems rely on wavelength-division multiplexing, including superchannel transmission, to enable transmission over the available bandwidth which reaches about 10 THz when accounting for the so-called C and L bands. READ MORE
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3. High spectral efficiency transmission using optical frequency combs
Abstract : Modern long-haul optical communication systems transmit data on all available single-mode fiber dimensions, time, polarization, wavelength, phase and amplitude. Powerful digital signal processing and forward error correction has pushed the per-channel throughput towards its theoretical limits and the bandwidth is limited by the erbium-doped fiber amplifiers. READ MORE
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4. The neurotoxin β-N-methylamino-L-alanine (BMAA) : Sources, bioaccumulation and extraction procedures
Abstract : β-methylamino-L-alanine (BMAA) is a neurotoxin linked to neurodegeneration, which is manifested in the devastating human diseases amyotrophic lateral sclerosis, Alzheimer’s and Parkinson’s disease. This neurotoxin is known to be produced by almost all tested species within the cyanobacterial phylum including free living as well as the symbiotic strains. READ MORE
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5. Misclassification Probabilities through Edgeworth-type Expansion for the Distribution of the Maximum Likelihood based Discriminant Function
Abstract : This thesis covers misclassification probabilities via an Edgeworth-type expansion of the maximum likelihood based discriminant function. When deriving misclassification errors, first the expectation and variance in the population are assumed to be known where the variance is the same across populations and thereafter we consider the case where those parameters are unknown. READ MORE