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The link between diffusion MRI and tumor heterogeneity : Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)

The structural heterogeneity of tumor tissue can be probed by diffusion MRI (dMRI) in terms of the variance of apparent diffusivities within a voxel. However, the link between the diffusional variance and the tissue heterogeneity is not well-established. To investigate this link we test the hypothesis that diffusional variance, caused by microscopic anisotropy and isotropic heterogeneity, is assoc

Inköp av tilläggstjänster och leveransservice – leverantörssamarbete inom byggbranschen

Problemställning: Hur kan tilläggstjänster användas för att sänka totalkostnaden i ett byggprojekt och kan dessa öka den värdeskapande tiden för yrkesarbetare?
Hur kan samarbetet mellan entreprenör och leverantör utvecklas för att gemensamt sänka byggnadskostnaden?
Syfte: Detta examensarbete ska påvisa hur inköp av tilläggstjänster görs hos ett entreprenadföretag vid upphandl

Vibe coding and the new prototyping playbook

We explore vibe coding as a rapid prototyping approach powered by generative AI. We discuss how it lowers the barrier to creating high-fidelity prototypes, enabling nontechnical users to build apps, and examine its implications for communication, validation, and iterative software design.

SPARC : The Standardised Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Analysis and Reporting Consensus: A Delphi Analysis

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

Preliminary findings on establishing a privately governed data ecosystem for MLOps data sharing

The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys

Filtered multimodal re-ranking for e-commerce

This study explores the integration of Large Language Model (LLM) and Information Retrieval (IR) components to enable filtered search over multimodal structured data. We identify core integration challenges and introduce a conceptual framework based on two paradigms: filtered retrieval and filtered re-ranking. With the focus on the latter, we employ RT-3 rank transformation to dynamically adjust t

Static treatment of dynamic interactions in the single-orbital Anderson impurity model

Correlated electron physics is intrinsically a multiscale problem, since high-energy electronic states screen the interactions between the correlated electrons close to the Fermi level, thereby reducing the magnitude of the interaction strength and dramatically shortening its range. Thus the handling of screening is an essential ingredient in the first-principles modeling of correlated electron sy

From Strong to Weak Correlations in Breathing-Mode Kagome van der Waals Materials : Nb3(F, Cl, Br, I)8 as a Robust and Versatile Platform for Many-Body Engineering

By combining ab initio downfolding with cluster dynamical mean-field theory, we study the degree of correlations in monolayer, bilayer, and bulk breathing-mode kagome van der Waals materials Nb3(F, Cl, Br, I)8. Our new material-specific many-body model library shows that in low-temperature bulk structures the Coulomb correlation strength steadily increases from I to Br, Cl, and F, allowing us to i

Caesarean section rates in public vs private hospitals in Europe : a systematic review and meta-analysis using the Robson ten group classification system

INTRODUCTION: Since the last two decades, there has been a dramatic rise in caesarean sections (CS) throughout the world. This increase has been seen even in Europe, where rates vary significantly from 17% in Northern Europe to 56% in the South. Although, CS can be a lifesaving intervention when medically necessary, non-essential CS are associated with short- and long-term complications for both t

Treatment Trajectories in Metastatic Hormone-sensitive Prostate Cancer : A PIONEER+ Big Data Analysis

BACKGROUND AND OBJECTIVE: The treatment landscape for metastatic hormone-sensitive prostate cancer (mHSPC) is evolving rapidly. Real-world data (RWD) are essential to understand actual treatment use and outcomes. This study aimed to describe treatment trajectories and clinical outcomes in a large, multicenter RWD cohort under the PIONEER project. METHODS: Eight European and US databases (2016-2020

Risk Factors for Valvulopathy Among Childhood Cancer Survivors

Importance Substantial improvements in childhood cancer survival have created a critical need to address serious long-term health complications, such as valvular heart disease (VHD). Objective To identify treatment-related risk factors for VHD in a large European cohort of long-term childhood cancer survivors. Design, Setting, and Participants This nested case-control study used data from the PanC

High-resolution postmortem 7 tesla MRI yields localized atrophy measures that are more sensitive to tau pathology and neuronal loss in Alzheimer’s disease than corresponding measures on antemortem 3 tesla MRI

BACKGROUND: Postmortem MRI has opened-up avenues to study brain structure at ultra high-resolution revealing details not possible to observe with in vivo MRI. Here, we present a novel package (purple-mri) which performs tissue segmentation, anatomical parcellation and spatial normalization of postmortem MRI. Additionally, we provide a framework to perform point-wise surface-based group-level studi

Native T1-mapping using cardiovascular magnetic resonance detects myocardium at risk during the first week following myocardial infarction in a swine model and in patients - comparison to contrast-enhanced cine steady-state free precession

Background: Myocardium at risk (MaR) can be evaluated by cardiovascular magnetic resonance (CMR) imaging using contrast-enhanced steady state free precession (CE-SSFP) in patients after ST-elevation myocardial infarction (STEMI). However, CE-SSFP utilizes gadolinium contrast, which is contraindicated in patients with severe renal insufficiency. Native T1-mapping is a non-contrast CMR method which

Self-adaptive ZrN coating enables stable acidic oxygen evolution on Co3O4through dynamic surface reconstruction

The development of acid-stable, non-precious catalysts for the oxygen evolution reaction (OER) remains a critical challenge for proton exchange membrane water electrolyzers (PEMWEs). While Co3O4 shows promising OER activity, its rapid dissolution in acidic media severely limits practical application. Here, we design a self-adaptive protection strategy by depositing ZrN coatings on Co3O4 precursor

RAB3GAP2 is a regulator of skeletal muscle endothelial cell proliferation and associated with capillary-to-fiber ratio

Skeletal muscle capillary density is correlated with physical performance and whole-body metabolic properties. Thus, we performed a genome-wide association study of skeletal muscle capillary-to-fiber ratio (C:F) (n = 603 males) and found that the rs115660502 G allele was associated (p < 5 × 10 -8) with increased C:F and reduced skeletal muscle expression of RAB3 GTPase-activating non-catalytic pr

Molecular and seroepidemiology of SARS-CoV-2 among influenza-like illness and severe Acute respiratory illness cases in selected health facilities in Ethiopia

Background: SARS-CoV-2 remains globally circulating, yet post-pandemic comprehensive molecular, serological, and population-level immunity data from low-resource settings such as Ethiopia are limited. This study employed genomic surveillance with seroepidemiological assessment to characterize the epidemiology of SARS-CoV-2 among individuals presenting with influenza-like illness (ILI) and severe a

Total and anatomically contextualized quantitative 18F-DCFPyL PET at biochemical recurrence to predict subsequent biochemical progression-free survival in patients with prostate cancer.

33Background: PSMA PET has been shown to detect more metastasis and alter management at biochemical recurrence (BCR), but it remains to be determined that it changes oncologic outcome. We assessed the quantitative parameters on 18F-DCFPyL PET at BCR and evaluated their association with tumor volume, metastatic locations with the subsequent biochemical progression free survival (bPFS). Methods: Thi