Sökresultat

https://www.mgeo.lu.se/maria-hansson - 2026-08-31

https://www.nateko.lu.se/sv/tobias-biermann - 2026-08-31

https://www.cec.lu.se/sv/maria-hansson - 2026-08-31

PROTOKOLL 2019-09-24 Diarienummer LUNDS UNIVERSITET Samhällsvetenskapliga fakulteten Graduate School Nämnden för Graduate School, 2019-09-24 Närvarande ledamöter Mikael Sundström Jakob Gustavsson Marta Kolankiewicz Anne Stella Muchiti Mularna Onur Fidangul Christopher Swader Annika Bergman Rosamond Anna Sonander Övriga närvarande Lucie Larssonova Buleza Emerllahu Sinnamon Varsamouli Frank Schreier

https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/protokoll_namnden_for_gs_190924.pdf - 2026-09-01

https://www.saco.se/globalassets/lokala-akademikerforeningar/kommun-och-region/akademikeralliansen/dokument/samverkansavtal-fas-05.pdf - 2026-09-01

Final version after collaboration 20 March 2018. Content on this page: General information 1. Quorum 2. Remit of the central health and safety committee 3. The central health and safety committee’s agenda 4. Instructions for members of the central health and safety committee Confidentiality Conflict of interest General information The central health and safety committee is to be a collaborative bo

https://www.hr-webben.lu.se/instructions-work-environment-collaboration-within-central-health-and-safety-committee-lund - 2026-08-31

Final version after collaboration 20 March 2018. Content on this page: Delimitations 1. Quorum 2. Remit of the local health and safety committee 3. The local health and safety committee’s agenda 4. Instructions for members of the local health and safety committee Confidentiality Conflict of interest The local health and safety committee is to be a preparatory and advisory body at the faculty level

https://www.hr-webben.lu.se/instructions-work-environment-collaboration-within-local-health-and-safety-committees-lund - 2026-08-31

Background and aims: The aim of the study was to determine potential associations between endothelial dysfunction and arterial stiffness, measured by peripheral arterial tonometry, and coronary artery calcium score (CACS) assessed by computed tomography (CT). Methods and results: The BIG3 study is a prospective longitudinal, non-interventional, pulmonary-cardiovascular cohort study exploring the t

Concerns have been raised regarding a potentially increased risk of cancer associated with treatment with glucagon-like peptide-1 (GLP-1) receptor agonists. Here, we explored whether fasting and oral glucose tolerance test post-challenge glucose-dependent insulinotropic peptide (GIP) and GLP-1 levels were associated with incident first cancer. Within the cardiovascular re-examination arm of the po

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated wit

BACKGROUND: Mean diffusivity (MD) and fractional anisotropy (FA) from diffusion MRI (dMRI) have been associated with cell density and tissue anisotropy across tumors, but it is unknown whether these associations persist at the microscopic level.PURPOSE: To quantify the degree to which cell density and anisotropy, as determined from histology, account for the intra-tumor variability of MD and FA in

Early detection of breast cancer is important to reduce morbidity and mortality. Access to breast imaging is limited in low- and middle-income countries compared to high-income countries. This contributes to advance-stage breast cancer presentation with poor survival. Pocket-sized portable ultrasound device, also known as point-of-care ultrasound (POCUS), aided by decision support using deep learn

Diffusion MRI uses the random displacement of water molecules to sensitize the signal to brain microstructure and to properties such as the density and shape of cells. Microstructure modeling techniques aim to estimate these properties from acquired data by separating the signal between virtual tissue 'compartments' such as the intra-neurite and the extra-cellular space. A key challenge is that th

Many patients with Parkinson's disease (PD) experiencing L-DOPA-induced dyskinesia (LID) receive adjunct treatment with dopamine agonists, whose functional impact on LID is unknown. We set out to compare temporal and topographic profiles of abnormal involuntary movements (AIMs) after L-DOPA dose challenges including or not the dopamine agonist ropinirole. Twenty-five patients with PD and a history

We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio (LuViRA) dataset, where all the sensors are synchronized and measured in the same environment. Some of the challenges of using each specific sensor for in

We present a synchronized multisensory dataset for accurate and robust indoor localization: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones,

The European spruce bark beetle is a major disturbance agent in Norway spruce forests in Europe, and with a changing climate it is predicted that damage will increase. To prevent the bark beetle population buildup, and to limit further spread during outbreaks, it is crucial to detect attacked trees early. In this study, we utilize Sentinel-2 data in combination with a risk map, created from geodat

Soil microbes play an important role in governing global processes such as carbon cycling, but it is challenging to study them embedded in their natural environment and at the single cell level due to the opaque nature of the soil. Nonetheless, progress has been achieved in recent years towards visualizing microbial activities and organo-mineral interaction at the pore scale, especially thanks to

Background Dyspnoea is one of the emergency department’s (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and “other diagnoses” by using deep learning and complete, uns

Purpose: The survival rate of breast cancer for women in low- and middle-income countries is poor compared with that in high-income countries. Point-of-care ultrasound (POCUS) combined with deep learning could potentially be a suitable solution enabling early detection of breast cancer. We aim to improve a classification network dedicated to classifying POCUS images by comparing different techniqu