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Anthropogenic activities threaten many wildlife populations by increasing mortality rates, making it crucial to identify the locations and causes of mortality to inform conservation actions. Technological advancements, such as GPS satellite tracking, enable precise recording of wildlife movements. High-resolution data from such devices can facilitate rapid carcass recovery and provide insights int
Diffusion magnetic resonance imaging (dMRI) is a powerful non-invasive technique for probing tissuemicrostructure. While highly sensitive, conventional dMRI methods suffer from low specificity, due in part toexperimental designs that conflate multiple contrast mechanisms. This thesis aims to address these limitations bydeveloping advanced time-dependent dMRI techniques to disentangle competing sou
Memories link elements across event boundaries, integrating overlapping content experienced at different times and places. Such memory representations are thought to rely on memory integration mechanisms. The present study used multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data to elucidate the temporal dynamics of integrative encoding memory processes. Memory integration w
This work presents a framework for designing self-locking 3D compliant structures using elasto-plastic topology optimization. Design updates are generated using the gradient-based method of moving asymptotes, while the material behavior is modeled under small strain elasto-plasticity. To accurately capture the Bauschinger effect that occur during reversed loading, kinematic hardening is a crucial
Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can
The atmosphere, ocean, and sea ice components in Earth system models are coupled via boundary conditions at the sea surface. Standard coupling algorithms correspond to the first step of an iteration, so-called Schwarz waveform relaxation. Not iterating is computationally cheap but introduces a numerical coupling error, which we aim to quantify for the case of a coupled single column model: the EC-
This study investigated the birth prevalence of cleft lip and/or palate (CL/P) in Sweden between 2000 and 2020 using data from the Swedish National Medical Birth Register, which includes over 97% of children born in the country, and its subregister the National Register of Congenital Anomalies. The dataset included 2,230,771 anonymized children, with the variables year of b
The macroscopic response governed by a statistical volume element, generated from 3D X-ray computer tomography images of paperboard, is explored. The statistical volume element, which consists of fibres and void, is derived from X-ray computer tomography images. Two filters for computing intensity fields and intensity gradients have been implemented and compared. Using an intensity threshold, the
We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination
Spatial compositional data with exact zeros arise in many applicationsbut remain challenging for models that often assume strictly positivecomponents. We develop a Bayesian spatial model that combines theDirichlet Composition Distribution, which accommodates exact zeros throughcomponent-specific zero probabilities, with a Gaussian Markov random field representationof the latent compositional field
Exempel på foldrar och broschyrer från Lunds universitet Rubrik UNDERTEXT Foldrar och broschyrer EXEMPEL MED OCH UTAN GRID Framsida broschyr, A4. Framsida broschyr, A5. Forskningsstrategi 2017–2021 | LUNDS UNIVERSITET Forskningsstrategi 2017–2021 | LUNDS UNIVERSITET Humaniora & teologi LUNDS UNIVERSITET | UTBILDNINGSKATALOG | 2019/2020 Humaniora & teologi LUNDS UNIVERSITET | UTBILDNINGSKATALOG | 2
https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/2022-05/foldrar-o-broschyrer-rev2022.pdf - 2026-09-16
Frikopplingstjänster - En lösning för avfallsförebyggande? Anette svingstedt och Hervé Corvellec service management och tjänstevetenskap | lunds universitet Redaktörer Anette Svingstedt anette.svingstedt@ism.lu.se (+46) 042 356 630 Hervé Corvellec herve.corvellec@ism.lu.se (+46) 042 356 603 © respektive författare 2015 Lunds universitet Institutionen för service management och tjänstevetenskap Uni
https://www.ses.lu.se/sites/ses.lu.se/files/frikopplingstjanster.pdf - 2026-09-16
The decline in areal BMD (aBMD) in men may start as early as age 19, but it is debated whether proximal femoral strength follows the same pattern. We measured FN aBMD in a cross-sectional cohort of 1101 men aged 18-28 yr with two-dimensional DXA. Body height, weight, jump height, grip strength, and maximum knee extension torque muscle strength were measured with standard tests, after which BMI was
Accurate mapping of earthquake-damaged buildings is essential for rapid post-disaster assessment and urban recovery planning. Very high-resolution (VHR) satellite imagery enables large-scale geospatial damage detection; however, conventional convolutional neural networks (CNNs) often struggle to model complex spatial dependencies and nonlinear damage patterns efficiently. To address these limitati
Monitoring water quality of rivers is essential in establishing the level of human impact on freshwater ecosystem, in addition to natural variability. The physicochemical, nutritional, and microbiological parameters were studied under seasonal conditions at seven different sites of the river Yamuna upper. The main mechanisms that influence the water quality were determined using descriptive statis
Binary change detection (BCD) using heterogeneous optical and SAR imagery faces challenges due to modality-specific noise and the lack of adaptive fusion strategies. Existing methods often fail to suppress SAR speckle noise and accurately localize fine boundaries. This study proposes a novel deep architecture, termed Dual-Modal Mixture-of-Experts Attention U-Net (DMoE-AttU-Net), featuring (i) dual
