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BACKGROUND: X-ray micro-tomography (μCT) is a powerful non-destructive 3D imaging method applied in many scientific fields. In combination with propagation-based phase-contrast, the method is suitable for samples with low absorption contrast. Phase contrast tomography has become available in the lab with the ongoing development of micro-focused tube sources, but it requires sensitive and high-reso

Parkinson's disease (PD) is characterized by rigidity, akinesia, postural instability and tremor. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) reduces tremor but the effects on postural instability are inconsistent. Another component of postural control is the postural strategy, traditionally referred to as the ankle or hip strategy, which is determined by the coupling between the

Parkinson’s disease (PD) can produce postural abnormalities of the standing body position such as kyphosis. We investigated the effects of PD, deep brain stimulation (DBS) in the subthalamic nucleus (STN), vision and adaptation on body position in a well-defined group of patients with PD in quiet standing and during balance perturbations. Ten patients with PD and 25 young and 17 old control partic

Aerosol-cloud interactions (ACI) are a major source of uncertainty in climate science, critically affecting our ability to project near-term climate evolution and assess societal risks. These interactions influence effective radiative forcing, cloud dynamics, and precipitation patterns, yet remain insufficiently constrained due to limitations in observations, modeling, and process understanding. T

Sensing is an integral part of 6G and beyond systems, providing exceptional environmental perception along with communication. Radio frequency (RF)–based sensing often relies on simplified geometric assumptions (e.g., point scatterers or planar surfaces) to model specular multipath and keep inference tractable. However, such representations are not physically informative and fail to accurately cap

Wireless power transfer (WPT) is a promising service for the Internet of Things (IoT), providing a cost-effective and sustainable solution to deploy so-called energy-neutral devices on a massive scale. The power received at the device side from a conventional transmit antenna with a physically small aperture decays rapidly with the distance. New opportunities arise from the transition from convent

Radio-based localization in dynamic environments, such as urban and vehicular settings, requires systems that efficiently adapt to varying signal conditions and environmental changes. Factors like multipath interference and obstructions introduce different levels of complexity that affect the accuracy of the localization. Although generalized models offer broad applicability, they often struggle t

A computational method to simulate bimolecular quenching reactions using coarse-grained reaction-diffusion dynamics is presented and applied to the quenching of molecular photosensitizers in solution. The simulations describe photoinduced reactions involving explicit excited states of light-harvesting species together with intrinsic deactivation, as well as collision quenching from separate quench

BACKGROUNDAutomated information extraction with natural language processing (NLP) tools is required to gain systematic insights from the large number of COVID-19 publications, reports and social media posts, which far exceed human processing capabilities. A key challenge for NLP is the extensive variation in terminology used to describe medical entities, which was especially pronounced for this ne

This paper presents LuMaMi28, a real-time 28GHz multi-user (MU) multiple-input multiple-output (MIMO) testbed. In this testbed, the base station has 16 transceiver chains with a fully-digital beamforming architecture (with different pre-coding algorithms) and simultaneously supports multiple user equipments (UEs) with spatial multiplexing. The UEs are equipped with a beam-switchable antenna array

BackgroundThe essential trace elements copper and zinc, and their ratio (copper/zinc), are important for maintaining redox homeostasis. Previous studies suggest that these elements may impact breast cancer survival. However, no epidemiological study has so far been conducted on the potential association between copper and copper/zinc levels and survival after breast cancer diagnosis. In this study

High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr

High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The

Background: Patients with heart failure and left bundle branch block (LBBB) may receive cardiac resynchronization therapy (CRT), but current selection criteria are imprecise, and many patients have limited treatment response. Hemodynamic forces (HDF) have been suggested as a marker for CRT response. The aim of this study was therefore to investigate left ventricular (LV) HDF as a predictive marker

Maximal oxygen uptake ([Vdot]O2max) is considered the optimal method to assess aerobic fitness. The measurement of [Vdot]O2max, however, requires special equipment and training. Maximal exercise testing with determination of maximal power output offers a more simple approach. This study explores the relationship between [Vdot]O2max and maximal power output in 247 children (139 boys and 108 girls)

Gluten-free diet adherence in children with screening-detected celiac disease using a prospective birth cohort study RESEARCH ARTICLE Gluten-free diet adherence in children with screening-detected celiac disease using a prospective birth cohort study Pooja Mehta1, Qian LiID 2, Marisa Stahl1, Ulla UusitaloID 3, Katri Lindfors4, Martha D. Butterworth2, Kalle Kurppa5,6, Suvi Virtanen7, Sibylle Koletz

https://www.teddy.lu.se/sites/teddy.lu.se/files/2023-05/148.pdf - 2026-06-08

SKÅA14 Skådespelarprogrammet termin 4 Lunds universitet Konstnärliga fakulteten SKÅA14, Skådespelarprogrammet termin 4, 30 högskolepoäng Acting Programme Semester 4, 30 credits Grundnivå / First Cycle Fastställande Kursplanen är fastställd av Institutionsstyrelsen vid Teaterhögskolan i Malmö 2016-01- 27 att gälla från och med 2016-01-18, vårterminen 2016. Allmänna uppgifter Obligatorisk kurs inom

https://www.thm.lu.se/sites/thm.lu.se/files/2022-10/skaa14_t4_2022_10.pdf - 2026-06-08

Lägg till titel VERKSAMHETS- OCH HANDLINGSPLAN, TEATERHÖGSKOLAN I MALMÖ 2021–2030 INTRODUKTION Teaterhögskolan i Malmös (THMs) vision, uppdrag och handlingsplan har tagits fram på uppdrag av Institutionsstyrelsen. Dokumentet visar vad vi står för, vart vi är på väg och på vilken grund. Huvudsyftet är att kunna prioritera och stämma av de enskilda besluten i vardagen mot vad vi vill uppnå på sikt.

https://www.thm.lu.se/sites/thm.lu.se/files/2023-12/Verksamhets-%20%20och%20Handlingsplan%202024%20.pdf - 2026-06-08