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This thesis investigates the use of artificial neural networks for classifying Raman spectra of partially degraded cellulose samples by fungal species. A multilayer perceptron configuration of 4 hidden layers and 128 hidden nodes was able to classify a set of 60 samples with an overall prediction accuracy of 0.55. Results show that data resolution is an important factor when optimizing classifier

“Alla har en relation till odling och mat, oavsett om man kommer från Somalia, Irak eller Nydala i Malmö.” (Jimenez, 2012). Visst är det så! Att mat är något som vi alla har gemensamt och som förenar människor har varit utgångspunkten för detta arbete. Projektet har resulterat i ett sprudlande matcentrum i Nyhamnen i Malmö. Här kan människor från stadens alla hörn och besökare utifrån samlas krin

In spectra obtained from foil-excited and laser-produced plasmas, we have identified 70 new lines as belonging to the spectra of fluorine-like scandium and vanadium ions, Sc XIII and V XV The new lines in the wavelength region from 70 to 600 Angstrom represent 2p(4)3s-3p, 3p-3d and 3d-4f transition arrays. The spectra have been interpreted with the aid of theoretical calculations, and the consiste

Artificiella neuronnät är en mer och mer populär del av maskininlärning. Nätverken byggs upp av sammankopplade noder, där varje nod är en simpel matematisk modell av en neuron. Neuronnät kan användas för att lösa olika problem, t.ex. överlevnadsanalys inom medicin. Ett exempel på överlevnadsanalys är uppskattning av tiden innan ett återfall av cancer efter en tumör har tagits bort, baserat på t.eArtificial neural networks have been used to solve different problems, one being survival analysis of medical data. For survival analysis, the main interest is often how samples become sorted by their outputs, which makes survival analysis a rank based problem. A rank based error function lacks a gradient, which makes gradient descent based training difficult. A genetic training algorithm, based o

In the Solar System, asteroids and Kuiper belt objects as well as comets are remnant planetesimals from the time of planet formation. Interactions between solids and gas inside a protoplanetary disc can, e.g. through the streaming instability, form gravitationally bound planetesimal-mass clouds of pebbles. Such clouds will inevitably have inelastic collisions between pebbles, lose energy and exper

Living organisms need to regulate their gene expression in response to environmental signals and internal cues. This is a computational task where genes act as logic gates that connect to form transcriptional networks, which are shaped at all scales by evolution. Large-scale mutations such as gene duplications and deletions add and remove network components, whereas smaller mutations alter the con

https://www.multipark.lu.se/article/modelling-parkinsons-disease-phd-interview-matilde-negrini - 2026-05-19

Neurodegenerative diseases such as Parkinson’s can be treated with stem-cell derived specialized neurons. In order to achieve precise directed neural differentiation in vitro we need to understand the gene regulatory mechanisms behind in vivo neural tube patterning. We implement a 3D computational model of brain patterning to simulate this process. The mathematical model is set up by unifying two e

Amino acids that are in close contact in a protein structure tend to co-evolve, which gives rise to sequence correlations. Direct coupling analysis (DCA) is a method for predicting such contacts directly from sequence correlations, without assuming any prior knowledge of structures. To this end, sequence correlations are modeled using an Ising-like ansatz, whose couplings are determined through an

This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge loc

Vintergatan, vårt hem i Universum, är den enda galax vi har möjlighet att studera i detalj. Med hjälp av observationer och beräkningar vet vi idag ungefär hur Vintergatan ser ut. Vi vet att Vintergatan består av en tunn skiva av stjärnor, stoft och gas, kallad den tunna disken. I mitten har den en utbuktning, kallad bulben. I och runtomkring finns en lite tjockare skiva med lägre densitet och bestThe formation history of the Milky Way galaxy is presently a subject of frequent investigation within astronomy. Of interest when constructing theories of the Galaxy’s formation is the question of whether or not there exist any gradients regarding ages of the stars within the stellar disks. In this project, a method for age-determination of stellar populations based on the Sobel Kernel edge detect