Filtyp
The Gaia mission of the European Space Agency (ESA) will produce high-precision astrometry for 10^9 objects up to 20th magnitude. The volume of data generated (about 150TB of compressed raw data) and the complexity of the relationships between them make the scientific processing a challenging task. This paper presents the basic concepts of the core of the astrometric data reduction, the AGIS syste
We consider single-molecule fluorescence experiments with data in the form of counts of photons registered over multiple time-intervals. Based on the observation schemes, linking back to works by Dehmelt [Bull. Am. Phys. Soc. 20 (1975) 60] and Cook and Kimble [Phys. Rev. Lett. 54 (1985) 1023], we propose an analytical approach to the data based on the theory of Markov-modulated Poisson processes (
This report documents the presentations and discussions which took place on 15 June 2022 at the "Virtual Workshop on Semantic mapping of excavation data" on Zoom. The event was organised as an open forum to illustrate aspects of the work carried out by the Archaeological Excavation Modelling Working Group, a sub-group within WP 4.4.12. The presenters, both Partners and Associate Partners of the AR
Objectives Osteoarthritis (OA) patient stratification is an important challenge to design tailored treatments and drive drug development. Biochemical markers reflecting joint tissue turnover were measured in the IMI-APPROACH cohort at baseline and analysed using a machine learning approach in order to study OA-dominant phenotypes driven by the endotype-related clusters and discover the driving fea
When transmitting data it is often desired to lower the bitrate in the transmission. In video capture devices, such as video cameras, with a high resolution and high capturing rate the bitrate in the transmission is high and it is often desired to lower this bitrate. Some of the constraints that were put on the compression techniques was that no information could be lost in the compression, no sig
In order to construct more efficient and environmentally friendly fuels, knowledgeabout the combustion process of the fuels needs to be expanded. This can be doneby running simulations in computational fluid dynamics. In order to efficiently runsimulations, reduced kinetic mechanisms of lesser complexity are used. Increasing theaccuracy and knowledge of the chemical reactions involved in these mec
Geospatial data have been pervasive and indispensable for various real-world application of e.g. urban planning, traffic analysis and emergency response. To this end, the data integration and knowledge transfer are two prominent issues for augmenting the use of geospatial data and knowledge. In order to address these issue, Semantic Web technologies have been considerably adopted in geospatial dom
The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate lingu
Background Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools require complete data, but measurement values are often missing A way to overcome the problem of incomplete data is to impute the missing data before analysis. Many imputation methods have been suggested, some naïve and other mo
Abstract: Background: Breast cancer is the most common kind of cancer among women in Sweden. While the short- to mid-term survival chances are good, the long-term survival chances are poor, and a large number of women are also likely being overtreated and thus suffer from unnecessary side effects. The South Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative aims at improving breast ca
Purpose: To analyse the non-response group in the Swedish Knee Ligament Register (SKLR). Methods: All 3588 patients in the SKLR who had undergone anterior cruciate ligament surgery in 2010 were included. Respondents (n = 1865) and non-respondents (n = 1723) at the 2-year follow-up survey were assessed for potential differences in demographics and baseline data. KOOS/EQ5D questionnaires were sent t
The goal of this Master's Thesis is to successfully detect and classify humans in a LiDAR data stream. The focus of the Thesis is on the detection and classification, not on the LiDAR technology. To classify humans machine learning was used and to train the machine learning model we collected our own data and annotated it. A custom software was made for speeding up the annotation process.
Här hittar du de senaste avhandlingarna av doktorander knutna till Lunds universitets diabetescentrum och det strategiska forskningsområdet EXODIAB (Excellence of Diabetes Research in Sweden) vid Lunds universitet. Söker du efter avhandlingar från tidigare år? Du hittar fler avhandlingar med koppling till det strategiska forskningsområdet EXODIAB vid Lunds universitet i forskningsportalen.Doktorsa
https://www.diabetesportalen.lu.se/avhandlingar - 2026-07-05
Social services are adapting to an increasingly digital environment, with municipalities expectedto engage citizens through digital channels. This study investigates how clients seeking social as-sistance perceive and use digital tools as well as the challenges and opportunities that arise whenimplementing such technologies in line with public service values. The analysis draws on municipaldigitalSocial services are adapting to an increasingly digital environment, with municipalities expected to engage citizens through digital channels. This study investigates how clients seeking social assistance perceive and use digital tools as well as the challenges and opportunities that arise when implementing such technologies in line with public service values. The analysis draws on municipal digit
Letters are the primitives of reading expertise. Single letter recognition relies on a hierarchy of processing stages, in which early visual features gradually evolve into abstract letter representations, but the temporal organization of these stages remains poorly understood. To address it, we applied multivariate pattern analysis (MVPA) to electroencephalography (EEG) data recorded while adult r
Multilevel data occur frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models. These models incorporate cluster-specific random effects that allow one to partition the total variation in the outcome into between-cluster variation and between-individual variation. The magnitude of the ef
