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Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype

Mammographic tumour appearance may provide prognostic useful information. For example, spiculation indicates invasiveness, but also better survival compared to tumours with other appearances. We aimed to study the relationship between mammographic tumour appearance and established clinicopathological factors, including surrogate molecular breast cancer subtypes, in the large Malmö Diet and Cancer

CYP27A1 expression is associated with risk of late lethal estrogen receptor-positive breast cancer in postmenopausal patients

Background: 27-Hydroxycholesterol (27HC) stimulates estrogen receptor-positive (ER+) breast cancer (BC) progression. Inhibiting the sterol 27-hydroxylase (CYP27A1) abrogates these growth-promoting effects of 27HC in mice. However, the significance of CYP27A1 expression on BC biology and prognosis is unclear. Methods: Intratumoral CYP27A1 expression in invasive BC was measured by immunohistochemist

Assessing heterogeneous effects and their determinants via estimation of potential outcomes

When analyzing effect heterogeneity, the researcher commonly opts for stratification or a regression model with interactions. While these methods provide valuable insights, their usefulness can be somewhat limited, since they typically fail to take into account heterogeneity with respect to many dimensions simultaneously, or give rise to models with complex appearances. Based on the potential outc

Ligand binding and functional effects of systematic double D-amino acid residue substituted neuropeptide Y analogs on Y1 and Y2 receptor types

In order to identify the signal epitopes of the neuropeptide Y (NPY) molecule, the conformation of the NPY molecule was pertubated by a systematic double D-amino acid replacement of neighbouring residues. These NPY-analogs were examined for receptor affinity and on biological activity. The rat cerebral cortex and hippocampus were used for binding characteristics on Y1 and Y2 binding sites, respect

Physical mechanism on exciton-plasmon coupling revealed by femtosecond pump-probe transient absorption spectroscopy.

The unclear mechanism of exciton-plasmon coupling interaction in monolayer MoS2-Ag nanoparticles hybrid, as a longstanding target in molecular nanotechnology and catalysis, is systemically investigated with transmission spectra and femtosecond pump-probe transient absorption spectroscopy in this paper. The properties of exciton in monolayer MoS2 are strongly enhanced due to the local surface plasm

COL1A1 Sp1 polymorphism predicts perimenopausal and early postmenopausal spinal bone loss

Genetic factors play an important role in the pathogenesis of osteoporosis but the genes that determine susceptibility to poor bone health are defined incompletely. Previous work has shown that a polymorphism that affects an Spl binding site in the COLIA1 gene is associated with reduced bone mineral density (BMD) and an increased risk of osteoporotic fracture in several populations. Data from cros

Cerebral palsy in extremely preterm infants

Background and Objectives: The risk of cerebral palsy (CP) is high in preterm infants and is often accompanied by additional neurodevelopmental comorbidities. The present study describes lifetime prevalence of CP in a population-based prospective cohort of children born extremely preterm, including the type and severity of CP and other comorbidities (ie, developmental delay and/or cognitive impair

A Minimax Optimal Controller for Positive Systems

We present an explicit solution to the discrete-time Bellman equation for minimax optimal control of positive systems under unconstrained disturbances. The primary contribution of our result relies on deducing a bound for the disturbance penalty, which characterizes the existence of a finite solution to the problem class. Moreover, this constraint on the disturbance penalty reveals that, in scenar

Aspects of 18F-PSMA-1007 PET/CT in prostate cancer : Biokinetics, dosimetry, protocol and diagnostic accuracy

Overview: Prostate cancer (PC)is the most common cancer in Sweden, and the leading cause of cancer death. Positronemission tomography with x-ray computed tomography (PET/CT) is an important imagingmethod for many cancers. A group of PET radiopharmaceuticals known as PSMA(prostate specific membrane antigen) ligands has been introduced for imaging ofPC. This thesis investigates aspects of the ligand

A frequency domain analysis of slow coherency in networked systems

Network coherence generally refers to the emergence of simple aggregated dynamical behaviors, despite heterogeneity in the dynamics of the subsystems that constitute the network. In this paper, we develop a general frequency domain framework to analyze and quantify the level of network coherence that a system exhibits by relating coherence with a low-rank property of the system's input–output resp

Gamifying user feedback collection on static program analysis tools

Use of static program analysis tools can be highly beneficial in software development, but usage is hindered by usability issues. One method to better understand these issues is to gather user feedback, but it is challenging to get developers to invest effort in giving user feedback.In this paper, we investigate whether gamification can increase user engagement in feedback collection on static ana

Time-resolved representational similarity analysis reveals integrated and separated neural patterns of overlapping events

Episodic memory allows the flexible retrieval of commonalities and idiosyncrasies of overlapping life events. For example, seeing a woman in the city with your colleague's daughter may form an integrated memory representation involving the woman and your colleague. However, you may also keep a specific representation of the city event to talk with your colleague about the circumstances of having m

Using machine learning hardware to solve linear partial differential equations with finite difference methods

This study explores the potential of utilizing hardware built for Machine Learning (ML) tasks as a platform for solving linear Partial Differential Equations via numerical methods. We examine the feasibility, benefits, and obstacles associated with this approach. Given an Initial Boundary Value Problem (IBVP) and a finite difference method, we directly compute stencil coefficients and assign them

Theory and Computation of Substructure Characteristic Modes

The problem of substructure characteristic modes is developed using a scattering matrix-based formulation, generalizing subregion characteristic mode decomposition to arbitrary computational tools. It is shown that the modes of the scattering formulation are identical to the modes of the classical formulation based on the background Green’s function for lossless systems under conditions where both

Addressing Failures in Robotics Using Vision-Based Language Models (VLMs) and Behavior Trees (BT)

In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known failures with pre-existing recovery strategies, but they are often ill-equipped to manage unknown failures or anomalies. We introduce VLMs as a monitoring tool to detect and identify failures during task execution. Addi

Fenestrated and Branched Endovascular Aortic Arch Repair Outcomes in Female Patients : A Retrospective Multicentre Analysis

OBJECTIVE: Data on females managed with fenestrated or branched endovascular aortic arch repair (FB-Arch) are limited. This study aimed to present the 30 day and follow up outcomes of FB-Arch in female patients.METHODS: A retrospective analysis (1 January 2011 to 31 March 2024) among four European aortic centres was conducted according to STROBE guidelines. Consecutive female patients managed with

AI Act high-risk AI compliance challenge and industry impact : a multiple case study

The AI Act marks a new chapter in AI governance, affecting companies around the world seeking to offer their services within the European Union. This study focuses on the comprehensive AI Act requirements set out for high-risk AI systems. We explored the perceived compliance challenge for the AI Act's high-risk requirements and associated contributing factors; the AI Act's impact on industry in te

Estimating glomerular filtration rate at the transition from pediatric to adult care

The current Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommend the use of the bedside creatinine-based Chronic Kidney Disease in Children (CKiD) equation to estimate glomerular filtration rate (GFR) in children and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in adults. However, this approach causes implausible changes in estimated GFR (eGFR) at the

Cardiometabolic Polygenic Risk Scores and Osteoarthritis Outcomes : A Mendelian Randomization Study Using Data From the Malmö Diet and Cancer Study and the UK Biobank

Objective: To investigate the causal role of cardiometabolic risk factors in osteoarthritis (OA) using associated genetic variants. Methods: We studied 27,691 adults from the Malmö Diet and Cancer Study (MDCS) and replicated novel findings among 376,435 adults from the UK Biobank. Trait-specific polygenic risk scores for low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol

HLA high-resolution typing by next-generation sequencing in Pandemrix-induced narcolepsy

The incidence of narcolepsy type 1 (NT1) increased in Sweden following the 2009-2010 mass-vaccination with the influenza Pandemrix-vaccine. NT1 has been associated with Human leukocyte antigen (HLA) DQB1*06:02 but full high-resolution HLA-typing of all loci in vaccine-induced NT1 remains to be done. Therefore, here we performed HLA typing by sequencing HLA-DRB3, DRB4, DRB5, DRB1, DQA1, DQB1, DPA1