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Litteraturlista MULE43 VT25 Barn Och Ungdomars Lärande Och Samspel I Grupp

Lägg till titel Sida 1 av 4 Beslutad i utbildningsnämnden för Musiklärarutbildningen 2024-11-06 Litteraturlista – MULE43 Barn och ungdomars lärande och samspel i grupp Almqvist, Jonas., Hamza, Karim., & Olin, Anette. (2017). Undersöka och utveckla undervisning. Professionell utveckling för lärare. (s.155- 171). Studentlitteratur. [16 sidor, se pdf i Canvas]. (Boken finns inläst på LEGIMUS för den

https://www.mhm.lu.se/sites/mhm.lu.se/files/2024-12/Litteraturlista%20MULE43%20VT25%20Barn%20och%20ungdomars%20l%C3%A4rande%20och%20samspel%20i%20grupp.pdf - 2026-06-01

Visual acuity outcomes up to 12 years and risk factors for visual impairment in a national cohort of extremely preterm born children – The Extremely Preterm Infants in Sweden Study (EXPRESS)

Purpose: The Extremely Preterm Infants in Sweden Study (EXPRESS) followed a national cohort of extremely preterm born (EPT, i.e. <27 weeks) children until 12 years of age. This study aimed to investigate the longitudinal development of visual acuity (VA) in children born EPT, explore the predictive value of early visual assessments, and evaluate risk factors for visual impairment at the age of 12

Association of Pathogenic/Likely Pathogenic Genetic Variants for Cardiomyopathies With Clinical Outcomes : A Multiancestry Analysis in the All of Us Research Program

BACKGROUND: This study aimed to evaluate the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers in a multiancestry US population and examine the risk of adverse clinical outcomes. METHODS: This retrospective cohort study included multiancestry US adults aged ≥18 years with sequencing data from the All of Us Research Program. Pathogenic/likely pathogenic variants in cardiomy

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with rare variant DCM associations (MAP3K7, NEDD4L a

Comparing Chemical Reaction Mechanisms for Jet Fuel in Turbulent Premixed Combustion Simulations

The compositions of alternative jet fuels can vary radically, and the consequences of these differences are a subject of ongoing investigation. Numerical combustion simulations are vital to this research and require chemical reaction mechanisms that efficiently and accurately capture the chemical pathways of combustion. Here, we present the recently developed Z79 collection of small pathway-centri

Large-eddy simulations of separated flow and heat transfer in a rib-roughened channel

Ribbed channel flows play a crucial role in various engineering systems where turbulence enhancement and improved heat transfer are required, such as in turbine blade cooling and combustor wall applications. Numerical simulations have emerged as an essential tool for analyzing the intricate turbulence dynamics and flow separation phenomena, which are fundamental for optimizing the channel performa

Unraveling the conformational landscape of amyloid precursor protein intracellular domain

The amyloid precursor protein intracellular domain (AICD), a cleavage product of amyloid precursor protein implicated in Alzheimer disease and amyloid lateral sclerosis, is a functionally important but structurally elusive intrinsically disordered protein. In this study, we investigate the conformational ensemble of a 35-residue AICD segment encompassing the conserved YENPTY motif using molecular

Anatomically informed deep learning framework for generating fast, low-dose synthetic CBCT for prostate radiotherapy

Precise patient positioning and daily anatomical verification are crucial in external beam radiotherapy to ensure accurate dose delivery and minimize harm to healthy tissues. However, Current image-guided radiotherapy techniques struggle to balance high-quality volumetric anatomical visualization and rapid low-dose imaging. Addressing this, reconstructing volumetric images from ultra-sparse X-ray

Predictability-Aware Motion Prediction for Edge XR via High-Order Error-State Kalman Filtering

As 6G networks evolve, offloading extended reality (XR) applications emerges as a key use case, leveraging reduced latency and edge processing to migrate computationally intensive tasks, such as rendering, from user devices to the network. This enables lower battery consumption and smaller device form factors in cellular environments.However, offloading incurs delays from network transmission and

Impact of gaze-based interaction and augmentation on human-robot collaboration in critical tasks

We present a user study analyzing head-gaze- based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far att

Towards understanding the role of humans in collaborative tasks

This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significa

Low-latency D-MIMO Localization using distributed scalable message-passing algorithm

Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing

Large Eddy Simulations of a turbulent premixed swirling flame with finite-rate chemistry and flame-wrinkling turbulent combustion models

Lean, premixed, swirl-stabilized flames are widely used in modern Dry Low Emissions gas turbine combustors; however, the turbulent combustion process under those conditions is known to be extremely sensitive and prone to instabilities. Numerical simulations can be a valuable tool in predicting the effects of alternative fuels; however, the sensitivity of the results to different models ought to be

Development of MHz X-ray phase contrast imaging at the European XFEL

We report on recent developments that enable megahertz hard X-ray phase contrast imaging (MHz XPCI) experiments at the Single Particles, Clusters, and Biomolecules and Serial Femtosecond Crystallography (SPB/SFX) instrument of the European XFEL facility (EuXFEL). We describe the technical implementation of the key components, including an MHz fast camera and a modular indirect X-ray microscope sys

EzSkiROS : enhancing robot skill composition with embedded DSL for early error detection

When developing general-purpose robot software components, we often lack complete knowledge of the specific contexts in which they will be executed. This limits our ability to make predictions, including our ability to detect program bugs statically. Since running a robot is an expensive task, finding errors at runtime can prolong the debugging loop or even cause safety hazards. This paper propose

Performance of a point-of-care ultrasound platform for artificial intelligence-enabled assessment of pulmonary B-lines

Background: The incorporation of artificial intelligence (AI) into point-of-care ultrasound (POCUS) platforms has rapidly increased. The number of B-lines present on lung ultrasound (LUS) serve as a useful tool for the assessment of pulmonary congestion. Interpretation, however, requires experience and therefore AI automation has been pursued. This study aimed to test the agreement between the AI

The Politics of Natural Law : Agrarian Reform, Intra-Aristocratic Conflict, and Natural Jurisprudence in Denmark, c. 1750-1800

Syftet med denna avhandling är att undersöka användningen av naturrättsligt språkbruk i de danska agrarreformerna, cirka 1750-1800. Detta görs genom en social kontextualisering som fokuserar på de sprickor som fanns i det danska samhället före och under reformperioden. Jag hävdar att dessa huvudsakligen utgjordes av interna materiella skillnader inom den danska jordägande eliten, inklusive deras oPopular science description The agrarian reforms of the 18th century were some of the most momentous historical events in Danish history. In the span of 30 years, half of all peasants went from living in a state of serfdom to owning and cultivating their own plots of land, free from the onerous ties of manorial dependence that they had toiled under for hundreds of years. In this pioneering dissert

Revealing the 1,4-diethynylbenzene SERS activity and docking studies by DFT

Surface-enhanced Raman scattering (SERS) technology can detect molecular information; Because of its high sensitivity, it is widely used in chemical analysis. In this study discussed the experimental detection of 1,4-diethynylbenzene molecule based on SERS technology. The SERS spectra of 1,4-diethynylbenzene molecule were calculated by Density Functional Theory (DFT) simulation, and the results sh

Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data : An IMI DIRECT Study

Here we report the results from exploratory analysis using a Bayesian network approach of data originally derived from a large North European study of type 2 diabetes (T2D) conducted by the IMI DIRECT consortium. 3029 individuals (795 with T2D and 2234 without) within 7 different study centres provided data comprising genotypes, proteins, metabolites, gene expression measurements and many differen

Thermal effects on the dynamics of excitons in CsPb(Br1−xClx)3

The long-standing debate in the scientific community about whether ferroelectricity or ferroelasticity is the key property influencing the optoelectronic behavior of metal halide perovskites continues. In this study, we experimentally investigate the temperature dependence of photoluminescence from CsPb(Br1−xClx)3 nanowires and their heterojunctions. Our findings show an enhancement of the exciton