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MATB22-ht20 Matematikcentrum Matematik NF Compilation Report for Linear Algebra 2, Autumn 2020 Module leader: Kjell Elfström Other teachers: Douglas Svensson Seth, Lea Miko Versbach. Number of students: 92. Grades in the original examination: 10 V, 37 G, 21 U Evaluation Compilation of the evaluation: See the following pages. Teacher’s comments: Lectures were held in person and broadcast via zoom.

https://www.maths.lu.se/fileadmin/maths/Matematik_NF/Kursutvaerderingar/HT2020/kursbokslut-MATB22-ht20.pdf - 2026-07-18

Abstract Objective. To study the associations between active choice of primary care provider and healthcare utilization, multimorbidity, age, and sex, comparing data from primary care and all healthcare in a Swedish population. Design. Descriptive cross-sectional study using descriptive analyses including t-test, correlations, and logistic regression modelling in four separate models. Setting and

2023-09-25 Protokoll LSK Sida 1 av 5 Lokal skyddskommitté PROTOKOLL Diarienummer V 2023/2095 Datum 2023-09-25 Protokoll lokal skyddskommitté Närvarande Karin Hall, stf ordförande Catrin Malmström, kansli N, ledamot Jessica Abbott, biologiska institutionen, ledamot Leif Bülow, kemiska institutionen, ledamot Magnus Alsterfjord, huvudskyddsombud Bengt Meuller, över- och huvudskyddsombud Carina Rasmus

https://www.naturvetenskap.lu.se/internt/sites/naturvetenskap.lu.se.internt/files/2023-12/2023-09-25%20LSK-protokoll-webb.pdf - 2026-07-18

https://www.keg.lu.se/en/sites/keg.lu.se.en/files/utvc11_ht_2016_schedule_20150610_1.pdf - 2026-07-18

BACKGROUND: We investigated the efficacy of rivaroxaban, an orally active direct factor Xa inhibitor, in preventing venous thrombosis after total knee arthroplasty.METHODS: In this randomized, double-blind trial, 2531 patients who were to undergo total knee arthroplasty received either oral rivaroxaban, 10 mg once daily, beginning 6 to 8 hours after surgery, or subcutaneous enoxaparin, 40 mg once

Popular Abstract in Swedish Syftet med den här avhandlingen har varit att studera association och växelverkan mellan proteiner och polymerer. Två olika tekniker har använts i dessa studier; datorsimuleringar och fördelning i polymera vattenhaltiga tvåfassystem. Vikten av att studera protein-polymer-växelverkan ligger i att flera biotekniska, och medicinska tillämpningar baserar sig just på proteiThe aim of this thesis has been to study protein-polymer interaction and association. Two different techniques were used; Monte Carlo simulations were combined with partitioning in polymeric aqueous two-phase systems. Monte Carlo simulations have been used to evaluate the hydrophobic interaction in electrolyte solution. The results showed that monovalent salt only slightly increases the hydrophob

Gaia is an ESA space astrometry mission due for launch in 2011-12. We describe part of the work carried out in the Gaia Data Processing and Analysis Consortium, namely the Astrometric Global Iterative Solution (AGIS) currently being implemented at the European Space Astronomy Center (ESAC) in Spain and largely based on algorithms developed at Lund Observatory. Some provisional results based on sim

beta-Microseminoprotein (MSP) is a small cysteine-rich protein (molecular mass about 10 kDa) first isolated from human seminal plasma and later identified in several other organisms. The function of MSP is not known, but a recent study has shown MSP to bind CRISP-3, a protein present in neutrophilic granulocytes. The amino acid sequence is highly variable between species raising the question of th

Neural network approaches have been demonstrated to work quite well to solve partial differential equations in practice. In this context approaches like physics-informed neural networks and the Deep Ritz method have become popular. In this paper, we propose a similar approach to solve an infinite-dimensional total variation minimization problem using neural networks. We illustrate that the resulti

The minimization of a functional consisting of a combined L1/L2 data fidelity term and a total variation regularization term with a locally varying regularization parameter for the removal of mixed Gaussian–impulse noise is considered. Based on a related locally constrained optimization problem, algorithms for automatically selecting the spatially varying parameter are presented. Numerical experim

In this paper, we propose an adaptive finite difference scheme in order to numerically solve total variation type problems for image processing tasks. The automatic generation of the grid relies on indicators derived from a local estimation of the primal-dual gap error. This process leads in general to a non-uniform grid for which we introduce an adjusted finite difference method. Further we quant

Vehicles in the future are anticipated to have the ability to communicate and exchange useful information in order to avoid collisions. However, for this cooperation to be possible all vehicles will have to be equipped with compatible wireless IEEE 802.11p modules that implement intelligent transport systems operating in the 5 GHz frequency band standard (ITS-G5 or WAVE). During the implementation

The purpose of this paper is to examine current practices of load factor utilisation of road transport. An interview study of five shippers and two transport providers were conducted. The research shows that transport providers seem to work efficiently with operational practices to improve the load factor, but the load factor seems not to be highly prioritised when it comes to strategic decisions.

We identify, through a change of variables, solution operators for evolution equations with generators given by certain simple first-order differential operators acting on Fock spaces. This analysis applies, through unitary equivalence, to a broad class of supersymmetric quadratic multiplication-differentiation operators acting on L2.Rn/ which includes the elliptic and weakly elliptic quadratic op