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Visar resultat 1 - 5 av 36316 uppsatser innehållade orden § 1.
1. Low-lying zeroes of L-functions attached to modular forms
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : We study the family of L-functions attached to Hecke newforms of weight k and level N and their low-lying zeroes. First, we recall the Density Conjecture of Katz and Sarnak and how it predicts the behaviour of the low-lying zeroes of any natural family of L-functions. LÄS MER
2. What’s the Point of State-of-Nature Models?
Kandidat-uppsats, Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : Practical explanations are tools which aim to clarify the evolution and function of our conceptual practices. There is current discussion about how we ought to construct and interpret practical explanations, and more specifically if state-of-nature models are useful when doing this. LÄS MER
3. The forgotten sand bee. A follow up on the status of the golden sand bee Andrena marginata in municipality of Mark, a decade later
Kandidat-uppsats, Göteborgs universitet / Instiutionen för biologi och miljövetenskapSammanfattning : Over a decade ago, a conservation project aimed at preserving the endangered golden sand bee (Andrena marginata) populations in the Storån valley of the municipality of Marks was initiated. The species, red-listed in Sweden as well as in many other European country, specializes in pollen from Devil's bit. LÄS MER
4. Idrott och utseende. Normer, kroppsfixering och dysmorfofobi inom idrotten
Kandidat-uppsats, Göteborgs universitet/Institutionen för kost- och idrottsvetenskapSammanfattning : Dysmorfofobi (BDD) är en psykisk störning hos en individ som upplever ett stort missnöje med sin kroppsform och utseende. Det finns tidigare ingen statistiskt bevisad slutsats om huruvida idrottare är mer eller mindre benägna att lida av BDD (kroppsdysmorforisk störning/Dysmorfofobi). LÄS MER
5. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER