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Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer

Background: Histological grade is a well-known prognostic factor that is routinely assessed in breast tumours. However, manual assessment of Nottingham Histological Grade (NHG) has high inter-assessor and inter-laboratory variability, causing uncertainty in grade assignments. To address this challenge, we developed and validated a three-level NHG-like deep learning-based histological grade model (

Airborne SARS-CoV2 virus exposure, interpersonal distance, face mask and perceived risk of infection

Participants judged the risk of an infection during a face to face conversation at different interpersonal distances from a SARS-CoV-2 infected person who wore a face mask or not, and in the same questionnaire answered questions about Corona related issues. Keeping a distance to an infected person serves as a protective measure against an infection. When an infected person moves closer, risk of in

Geochemical and thermodynamic constraints on Archean comagmatic volcanic and cumulate rocks from southern West Greenland

The extensive exposure of the Archean continental crust in southern West Greenland makes it an important window into the tectonic evolution of early Earth. Here, we provide a comprehensive geochemical data set for tholeiitic amphibolites (meta-basalts), calc-alkaline leucoamphibolites (meta-andesites), and ultramafic rocks (meta-cumulates) for the Mesoarchean Bjørneøen Supracrustal Belt, Nuuk regi

What To Do About Conspiracy Theories? : Academic Entanglements in Conflicts Over Truths

Increasingly social activists, journalists and policy makers have expressed concern over the proliferation of conspiracy theories in the public space. There is a growing fear of their impact on social cohesion and democracy, their power to erode trust in state institutions and science. These concerns often come with an expectation that it is the responsibility of academics to engage with conspirac

Identification of New Ketamine Metabolites and Their Detailed Distribution in the Mammalian Brain

Ketamine is a common anesthetic used in human and veterinary medicine. This drug has recently received increased medical and scientific attention due to its indications for neurological diseases. Despite being applied for decades, ketamine’s entire metabolism and pharmacological profile have not been elucidated yet. Therefore, insights into the metabolism and brain distribution are important towar

Global longitudinal strain in long-term risk prediction after acute coronary syndrome : an investigation of added prognostic value to ejection fraction

Aims: This study aimed to investigate the additional value of global longitudinal strain (GLS) on top of left ventricular ejection fraction (LVEF) in long-term risk prediction of combined death and heart failure (HF) re-hospitalization after acute coronary syndrome (ACS). Method and results: This retrospective study included patients admitted with ACS between 2008 and 2014 from the three participa

Manifestations of X-linked pyruvate dehydrogenase complex deficiency in female PDHA1 carriers

Background and purpose: Pyruvate dehydrogenase complex deficiency is in up to 90% caused by pathogenic variants in the X-linked PDHA1 gene. We aimed to investigate female relatives of index patients with PDHA1-related disease to (i) describe the prevalence of female PDHA1 carriers, (ii) determine whether they had symptoms and signs, and (iii) delineate the associated phenotype. Methods: In a natio

The Atomic Future : Technology, Labor and World Peace in the Thought of ʿAli Rashid Shaʿath

In 1946, one year after the atomic bombings of Japan, Palestinian thinker ʿAli Rashid Shaʿath (1908–1967) published a book entitled Min al-binsilin ila al-qunbula al-zarriya (From Penicillin to the Atomic Bomb). An accessible work of popular science, it con- tains highly optimistic reflections on the future and predicts the following two events as a result of nuclear technology and energy: a worke

Galactoseismology in cosmological simulations Vertical perturbations by dark matter, satellite galaxies, and gas

Context. Complex models recently became available for studying the dynamics of disk galaxies such as the Milky Way (MW). These models include the global dynamics from dwarf satellite galaxies, dark matter halo structure, gas infall, and stellar disks in a cosmological context. Aims. We use a MW model from a suite of high-resolution hydrodynamical cosmological simulations named GARROTXA to establis

SreC-dependent adaption to host iron environments regulates the transition of trophic stages and developmental processes of Curvularia lunata

Plant pathogens are challenged by host-derived iron starvation or excess during infection, but the mechanism of plant pathogens rapidly adapting to the dynamic host iron environments to assimilate iron for invasion and colonization remains largely unexplored. Here, we found that the GATA transcription factor SreC in Curvularia lunata is required for virulence and adaption to the host iron excess e

The need for nonuniform risk acceptability across climate change scenarios

Climate change risk assessment studies focus on identifying and analyzing different risks considering several climate change scenarios and on evaluating the cost-effectiveness of different adaptation measures. However, risk acceptability is often not reflected on in the context of climate change risk studies. Noting that the different climate change scenarios depict drastically contrasting images

Pediatric Intensive Care from the Perspective of Parents: Experiences and Satisfaction with Person- and Family-Centered Care

The overall aim of this thesis was to investigate parents’ experiences and satisfaction with family-centered care (FCC)when their child was cared for at a pediatric intensive care unit (PICU). To obtain a deeper understanding of parents’experiences and satisfaction, two qualitative studies were conducted (Papers I and III). For Paper I, 10 individualinterviews were conducted two years after their

Scheduling of Industrial Control Traffic for Dynamic RAN Slicing with Distributed Massive MIMO †

Industry 4.0, with its focus on flexibility and customizability, is pushing in the direction of wireless communication in future smart factories, in particular, massive multiple-input-multiple-output (MIMO) and its future evolution of large intelligent surfaces (LIS), which provide more reliable channel quality than previous technologies. At the same time, network slicing in 5G and beyond systems

Symbolic neural networks for automated covariate modeling in a mixed-effects framework

Mixed-effects models are used to describe the inter-patient variability in drugs. Modeling of these variabilities include both fixed and random effects. Fixed effects relate covariates such as age and weight to compartment volumes and clearances, whereas random effects account for unexplained variability. Traditionally, the development of fixed effects models is an inefficient process where covari

Imlifidase in kidney transplantation

Kidney transplantation, the gold-standard therapeutic approach for patients with end-stage kidney disease, offers improvement in patient survival and quality of life. However, broad sensitization against human leukocyte antigens often resulting in a positive crossmatch against the patient’s living donor or the majority of potential deceased donors in the allocation system represents a major obstac