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Dissimilar bouncy walkers

We consider the dynamics of a one-dimensional system consisting of dissimilar hardcore interacting (bouncy) random walkers. The walkers' (diffusing particles') friction constants ξ(n), where n labels different bouncy walkers, are drawn from a distribution ϱ(ξ(n)). We provide an approximate analytic solution to this recent single-file problem by combining harmonization and effective medium techniqu

A strategy for identifying putative causes of gene expression variation in human cancers

The majority of microarray studies focus on analysis of gene expression differences between various specimens or conditions. However, the causes of this variability from one cancer to another, from one sample to another and from one gene to another often remain unknown. In this study, we present a systematic procedure for finding genes whose expression levels are altered due to an intrinsic or ext

Testing similarity measures with continuous and discrete protein models

There are many ways to define the distance between two protein structures, thus assessing their similarity. Here, we investigate and compare the properties of five different distance measures, including the standard root-mean-square deviation (cRMSD). The performance of these measures is studied from different perspectives with two different protein models, one continuous and the other discrete. U

Combining Cross-Validation and Ensemble Creation for Artificial Neural Networks

Artificial neural networks (ANNs) are widely used nowadays, and the research into improving their performances is continually ongoing. One main goal of ANNs is to have a high generalization performance, which can be estimated through validation. Ensembles can be useful to raise the generalization performance, but the validation of ensembles is often computationally costly if the size of the traini

Dynamic Stopping for Artificial Neural Networks

The growing popularity of Artificial Neural Networks (ANN) demands continuous improvement and optimization of the training process to achieve higher-performing algorithms at a lower computational cost. During training an ANN learns to solve a problem by looking at examples, and will iteratively go over a dataset to reach an optimal performance. Usually the user needs to define a fixed number of it

Identification of spectral features differentiating fungal strains in infrared absorption spectroscopic images

There are many unknowns regarding the interaction between fungi and their surroundings. In this project, we took a closer look at hyperspectral images of several fungal strains on two different substrates. The project mainly consisted of developing a code for the classification of fungal strains and the extraction of information from it. The classifier used hyperspectral images in infrared of four

Realisation av pantsatta aktier - Om pantlagstiftningen i allmänhet och bankers rätt att överta panter i synnerhet

Svensk pantlagstiftning har under lång tid i princip varit oförändrad. Några för panträtten centrala bestämmelser har över tiden hjälpligt fått anpassats till mer tidsenliga förutsättningar som de ursprungliga bestämmelserna inte varit utformade att hantera. Detta gäller inte bara tillämpningen av panträttslig lagstiftning utan även de rättsliga principer som omgärdar panträtten och fyller där en Swedish law regarding pledges has more or less remained the same for a substantial period of time. Some of the central principles concerning pledges have over time needed to adapt to more modern situations that the law are not designed to handle. This does not only concern the application of the written laws but also the legal principles that surround the law on pledges where they aim to serve a c

MoonFit, a minimal interface for fitting ODE dynamical models, bridging simulation by experimentalists and customization by C++ programmers

The modelling of biological systems often consists into differential equation models that need to be fitted to experimental data. During this complex process, the practical experience of the biologist and the theoretical abstraction of the modeller require back-and-forth refinements of the model, design of new experiments and inclusion of more data-points into the fitting procedure. Available opti

Metabolites of Avena sativa with Blood Cholesterol Lowering Properties

Cardiovascular diseases are among the most important causes of death in thedeveloped countries. These diseases are partly caused by too high cholesterolconcentrations in the blood. Avena sativa, oat, is the most common spieces of the genus Avena, and produced in huge amounts worldwide. Oats have been shown to have cholesterol-lowering properties since the 1960s. This property was originally attrib

Energy Optimization of Radio NGR Micro G1

Energioptimering utav Ericssons radio NGR Micro G1 Sedan lång tid tillbaka har mänskligheten belastat vårt klimat och ekosystem. Idag känner vi till konsekvenserna av vårt leverne och runt om i världen skrider regeringar och organisationer till verken och styr om vårt samhälle mot en mer hållbar framtid. Man söker ständigt nya lösningar som förbättrar och minskar energikonsumtionen och utsläppen f

De aktiebolagsrättsliga generalklausulerna - Betydelsen av rekvisitet "otillbörlig fördel"

Det huvudsakliga syftet med denna uppsats är att utreda innebörden av generalklausulerna i 7:47 och 8:41 1 st. ABL. I uppsatsen riktats fokus på att utreda rekvisitet otillbörlig fördel enligt generalklausulerna. Det råder viss osäkerhet kring hur generalklausulernas rekvisit ska tolkas och i uppsatsen har därmed tolkningen av dessa rekvisit utretts. I uppsatsen redogörs och analyseras vilka fakto

AI fairness on our digital markets

Recording from lunch seminar 7 May 2025 Handouts from the presentation: Making Digital Markets Work for People 2025.pdf Topic: AI fairness on our digital marketsWhen: 7 May at 12.00-13.00Where: OnlineSpeakers: Behrang Kianzad, Business Law, LUSEM, Lund UniversitySpoken language: EnglishAbstractRecent years have witnessed the re-emergence of the highly contested concept of “fairness” in European co

https://www.ai.lu.se/2025-05-07 - 2026-05-27

Using neural networks to identify jets

A neural network method for identifying the ancestor of a hadron jet is presented. The idea is to find an efficient mapping between certain observed hadronic kinematical variables and the quark-gluon identity. This is done with a neuronic expansion in terms of a network of sigmoidal functions using a gradient descent procedure, where the errors are back-propagated through the network. With this me

Heavy charged scalars from cs¯ fusion : a generic search strategy applied to a 3HDM with U(1) × U(1) family symmetry

We describe a class of three Higgs doublet models (3HDMs) with a softly broken U(1) × U(1) family symmetry that enforces a Cabibbo-like quark mixing while forbidding tree-level flavour changing neutral currents. The hierarchy in the observed quark masses is partly explained by a softer hierarchy in the vacuum expectation values of the three Higgs doublets. As a consequence, the physical scalar spe