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Översiktlig artikel om hur spanska sjukan 1918 drabbade Lunds universitet och särskilt dess studenter samt om hur vissa professorer i medicin förhöll sig till den nya smittan.

Despite incredible progress in cancer treatment, therapy resistance remains the leading limiting factor for long-term survival. During drug treatment, several genes are transcriptionally upregulated to mediate drug tolerance. Using highly variable genes and pharmacogenomic data for acute myeloid leukemia (AML), we developed a drug sensitivity prediction model for the receptor tyrosine kinase inhib

In 2015, following a series of sub-regional consultations, 109 states endorsed an Agenda for the Protection of Cross-Border Displaced Persons in the Context of Disasters and Climate Change. Although active in supporting the consultative process and notwithstanding their endorsement of this ‘Protection Agenda’, the European Union and its Member States promote ‘effective practices’ in the global Sou

BackgroundInflammation and tyrosine-kinases are known mediators in the pathobiology of cardiovascular disease. Plasma biomarkers reflecting these systems may provide a noninvasive complement reflecting hemodynamics, aiding in clinical decision-making. We therefore aimed to investigate the plasma levels of vascular and inflammatory proteins, and their associations with invasive hemodynamics in adva

Objectives: We aimed to describe the cardiopulmonary function during exercise and the health-related quality of life (HRQoL) in patients with a history of COVID-19 pneumonia, stratified by chest computed tomography (CT) findings at baseline. Methods: Among 77 consecutive patients with COVID-19 who were discharged from the Pulmonology Ward between March 2020 and April 2021, 28 (mean age 54.3 ± 8.6

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

MOTIVATION: Missing data present a pervasive challenge in data analysis, potentially biasing outcomes and undermining conclusions if not addressed properly. Missing data are commonly classified into Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). While MCAR poses a minimal risk of data distortion, both MAR and MNAR can seriously affect the results of

The combustion of conventional Jet A, alongside two alternative jet fuels, C1 and C5, is simulated with Large Eddy Simulations (LES) in a generic single-cup spray combustor during idle and cruise conditions. The spray is modeled using Lagrangian particle tracking and the combustion chemistry of each fuel is modeled by skeletal reaction mechanisms. The volatility and atomizability of each fuel dire

Background: Rare variants of the triggering receptor expressed on myeloid cell 2 (TREM2) gene are strong risk factors for Alzheimer’s disease (AD), and drugs targeting the TREM2 protein are being developed. However, it is unknown what the effect of TREM2 variants is on the AD phenotype. Methods: Here we studied a full range of clinical and biomarker measures in a large cohort of TREM2 variant carr

BACKGROUND: Medical students navigate a complex landscape of digital tools with potential to enhance learning. The main objectives of the current study were to investigate which digital resources are being used, which background factors are associated with utilization, perceived advantages and disadvantages of different digital resources, and explore future directions.METHODS: Cross-sectional, nat

Objective: To analyze the outcomes of urgent/emergent endovascular aortic repair of patients with free/contained ruptured thoracoabdominal aortic aneurysms (rTAAA). Background: Endovascular repair of rTAAA has been scarcely described in emergent setting. Methods: An international multicenter retrospective observational study (ClinicalTrials.govID:NCT05956873) from January 2015 to January 2023 in 6

Background: Keeping the umbilical cord intact the first minutes after delivery is beneficial for both term and preterm infants. However, this may be challenging in caesarean sections (CS) due to lack of mobile resuscitation equipment, maintenance of sterility or concern for excessive maternal blood loss. The objective of this study was to develop and pilot-test extra-uterine placental transfusion

The current investigation explores the surface effects of quasiatomic layer etching (Q-ALE) of silicon (Si), focusing on the interplay of process parameters, such as Ar+ ion energy, and their impact on etch rate, surface roughness, and material damage. Using a chlorine-based reactive ion etching tool at varying radio frequency bias voltages, the ion energy distribution and etching characteristics

Learning robot motions from demonstration requires models able to specify vector fields for the full robot pose when the task is defined in operational space. Recent advances in reactive motion generation have shown that learning adaptive, reactive, smooth, and stable vector fields is possible. However, these approaches define vector fields on a flat Euclidean manifold, while representing vector f

Background: Opioid use disorder is a chronic disorder with a high risk of overdose-related morbidity and mortality where a large proportion of these can be averted by timely administration of the antidote naloxone. For naloxone to be present when and where overdoses occur, broad-scale overdose education and naloxone distribution (OEND) must be established. A regional naloxone program was implement

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