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In numerical combustion research, accurate chemical reaction mechanisms for heavy hydrocarbons are essential to investigate the flame dynamics of Sustainable Aviation Fuels (SAF) relative to conventional jet fuels. However, accounting for hundreds or thousands of reactions makes Finite-Rate Chemistry (FRC) Large Eddy Simulations (LES) impractical for realistic engineering scenarios. In the present
Soil protists are increasingly recognized as key players in organic matter turnover, yet their role as direct decomposers (i.e., saprotrophs) remains underexplored compared to that of bacteria and fungi. Here, we synthesize ecological, physiological, and genomic evidence to highlight the potential of protists to actively decompose organic matter and influence soil carbon cycling. We distinguish tw
Non-linear transceivers and non-reciprocity of downlink and uplink channels are two major challenges in the deployment of massive multiple-input-multiple-output (MIMO) systems. We consider an over-the-air (OTA) approach for digital pre-distortion (DPD) and reciprocity calibration to jointly address these issues. In particular, we consider a memory-less non-linearity model for the base station (BS)
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
Background and objective: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is an evolving diagnostic tool for prostate cancer. There is a need to harmonise existing guidelines and reporting recommendations for PSMA PET/CT. The Standardised PSMA PET/CT Analysis and Reporting Consensus (SPARC) project aims to consolidate classifications and recommen
Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat
Model Hamiltonians are regularly derived from first principles to describe correlated matter. However, the standard methods for this contain a number of largely unexplored approximations. For a strongly correlated impurity model system, here we carefully compare a standard downfolding technique with the best possible ground-truth estimates for charge-neutral excited-state energies and wave functio
Machine Learning (ML) algorithms are generally designed for scenarios in which all data is stored in one data center, where the training is performed. However, in many applications, e.g., in the healthcare domain, the training data is distributed among several entities, e.g., different hospitals or patients’ mobile devices/sensors. At the same time, transferring the data to a central location for
Introduction: Antimicrobial resistance (AMR) represents a persistent and ascensive global threat influenced by antibiotic misuse and overuse. In the Romanian context, patterns of antibiotic consumption and resistance within the healthcare system are marked in the red scenario on the European map. General practitioners and pharmacists, among others, play a major role in stewardship towards AMR.Aim:
It is generally known that, unlike structured proteins, intrinsically disordered proteins, IDPs, exhibit various structures and conformers, the so-called conformational ensemble, CoE. This study aims to better understand the conformers that make up the IDP ensemble by decomposing the CoE into groups separated by their radius of gyration, Rg. A common approach to studying CoE for IDPs is to use low
Each year, about 30% of all newly diagnosed cancer cases in women worldwide are breast cancers [1]. One of the most common techniques for breast cancer diagnosis is mammography. However, this technique provides limited functional information regarding breast tissue morphology. In cases of suspected malignancy invasive techniques such as biopsy are implemented.In this work an optical deep tissue im
Young people have been prominent climate advocates globally and they are also becoming increasingly visible in global climate politics. They have participated in Conferences of the Parties (COPs) to the United Nations Framework Convention on Climate Change (UNFCCC) since COP1 in 1995. While recent studies have started to examine the representativeness and participation of youth at the COPs, we sti
Breast cancer is the most frequently diagnosed cancer in females globally. However, we know relatively little about trends in males. This study describes United Kingdom (UK) secular trends in breast cancer from 2000 to 2021 for both sexes. We describe a population-based cohort study using UK primary care Clinical Practice Research Datalink (CPRD) GOLD and Aurum databases. There were 5,848,436 elig
PURPOSETo assess interval cancer rate in a large, prospective digital breast tomosynthesis (DBT) screening trial in comparison with a concurrent screening population and to assess tumor characteristics of interval cancers in DBT-screening.METHOD AND MATERIALSThe prospective ****Trial, comparing digital breast tomosynthesis (DBT) with digital mammography (DM) in 14,848 women has shown a significant
Background: Molecular signatures in prostate cancer (PCa) tissue can provide useful prognostic information to improve the understanding of a patient's risk of harbouring aggressive disease. Objective: To develop and validate a gene signature that adds independent prognostic information to clinical parameters for better treatment decisions and patient management. Design, setting, and participants:
Regular exercise leads to widespread salutary effects, and there is increasing recognition that exercise-stimulated circulating proteins can impart health benefits. Despite this, limited data exist regarding the plasma proteomic changes that occur in response to regular exercise. Here, we perform large-scale plasma proteomic profiling in 654 healthy human study participants before and after a supe
Microsoft Word - BRESLER_MASTER 150921_LD_150928.docx i Publications from the Malmö Academy of Music PERSPECTIVES IN MUSIC AND MUSIC EDUCATION NO 10 Beyond Methods Lessons from the arts to qualitative research Liora Bresler (Ed.) ii Beyond Methods Lessons from the arts to qualitative research © Liora Bresler and the authors 2015 ISSN 1404-6032 ISBN 978-91-982297-4-5 Publications from the Malm
https://www.mhm.lu.se/sites/mhm.lu.se/files/perspectives_in_music10.pdf - 2026-07-22
5 mars 2026 19:00 till 21:00 | Konsert Sten Ulloa Carler, pianist och diplomstudent vid Musikhögskolan i Malmö, framför Prokofjevs Pianokonsert nr. 3 tillsammans med Malmö Symfoniorkester under ledning av Clemens Schuldt. Kvällen bjuder även på ett nyskrivet verk "The Clarion Call" av kompositionsdiplomanden Daniel Möllås På Malmö Lives hemsida hittar du mer information och biljetterSten Ulloa Car
This study characterizes the physicochemical properties and evaluates the atmospheric dispersion of radionuclides potentially released from the European Spallation Source (ESS) under a postulated worst-case loss-of-coolant accident scenario. The primary objective was to quantify near-surface air concentrations and deposition. Likely chemical forms were identified through a literature-based evaluat
