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Clinicians’ use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors : an international survey
The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) tool are being extended to incorporate additional genetic and non-genetic BC risk factors. From an online survey through the BOADICEA website and UK, Dutch, French and Swedish national genetic societies, we explored the relationships between the usage frequencies of the BWA and six other common BC ris
Real-time data processing for serial crystallography experiments
We report the use of streaming data interfaces to perform fully online data processing for serial crystallography experiments, without storing intermediate data on disk. The system produces Bragg reflection intensity measurements suitable for scaling and merging, with a latency of less than 1 s per frame. Our system uses the CrystFEL software in combination with the ASAP::O data framework. In a se
3D micro-CT and O-PTIR spectroscopy bring new understanding of the influence of filler content in dental resin composites
Background: Dental resin composites' performance is intricately linked to their polymerisation shrinkage characteristics. This study compares polymerisation shrinkage using advanced 3D micro-computed tomography (micro-CT) and traditional 2D linear assessments. It delves into the crucial role of filler content on shrinkage and the degree of conversion in dental resin composites, providing valuable
An ultra-short-period super-Earth with an extremely high density and an outer companion
We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal. High precision radial velocity measurements from HARP
Orally administered Odoribacter laneus improves glucose control and inflammatory profile in obese mice by depleting circulating succinate
Background: Succinate is produced by both human cells and by gut bacteria and couples metabolism to inflammation as an extracellular signaling transducer. Circulating succinate is elevated in patients with obesity and type 2 diabetes and is linked to numerous complications, yet no studies have specifically addressed the contribution of gut microbiota to systemic succinate or explored the consequen
Foreign language perceptual curiosity : construct, measurement, and applications
Learning a language is a creative process. It involves novelty and imagination. While curiosity can be highly beneficial, research is limited. Studies so far conducted have explored epistemic curiosity as a trait-like disposition. In contrast, the current study focuses on perceptual curiosity (PC). PC is a situational response evoked by novelty, complexity and ambiguities in sensory stimulation. P
MIRD Pamphlet No. 32 : A MIRD Recovery Coefficient Model for Resolution Characterization and Shape-Specific Partial-Volume Correction
Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu
Accurate Indoor Positioning Based on Learned Absolute and Relative Models
To improve the accuracy of indoor positioning systems it can be useful to combine different types of sensor data. This paper describes deep learning methods both for estimating absolute positions and for performing pedestrian dead reckoning, and then how to combine the resulting estimates using weighted least squares optimization. The positioning model is based on a custom neural network which use
Predictors of Mortality and Cardiovascular Outcome at 6 Months after Hospitalization for COVID-19
Clinical outcome data of patients discharged after Coronavirus disease 2019 (COVID-19) are limited and no study has evaluated predictors of cardiovascular prognosis in this setting. Our aim was to assess short-term mortality and cardiovascular outcome after hospitalization for COVID-19. A prospective cohort of 296 consecutive patients discharged after COVID-19 from two Italian institutions during
Addition of biological therapies to palliative chemotherapy prolongs survival in patients with peritoneal carcinomatosis of colorectal origin
OBJECTIVES: Combination chemotherapy regimens have shown promising results in patients with metastatic colorectal cancer. However, only very few studies have studied the effect of palliative chemotherapy in peritoneal carcinomatosis (PC) and no data are present incorporating biological therapies in the treatment of PC in colorectal cancer.METHODS: By means of merging with the regional Eindhoven Ca
Multiplex agglutination-PCR (ADAP) autoantibody assays compared to radiobinding autoantibodies in type 1 diabetes and celiac disease
Multiplex Antibody-Detection by Agglutination-PCR (ADAP) assay was compared to singleplex standard radiobinding assays (RBA) to detect autoantibodies against insulin (IAA), GAD65 (GADA), islet antigen-2 (IA-2A), ZnT8 (ZnT8A) and tissue transglutaminase (TGA). Serum samples from 272 (114F/158M), 15-73 years of age healthy controls and 227 (109F/118M) newly diagnosed type 1 diabetes children, 1-11 y
Dose-efficient multimodal microscopy of human tissue at a hard X-ray nanoprobe beamline
X-ray fluorescence microscopy performed at nanofocusing synchrotron beamlines produces quantitative elemental distribution maps at unprecedented resolution (down to a few tens of nanometres), at the expense of relatively long measuring times and high absorbed doses. In this work, a method was implemented in which fast low-dose in-line holography was used to produce quantitative electron density ma
Natural Marine Precursors Boost Continental New Particle Formation and Production of Cloud Condensation Nuclei
Marine dimethyl sulfide (DMS) emissions are the dominant source of natural sulfur in the atmosphere. DMS oxidizes to produce low-volatility acids that potentially nucleate to form particles that may grow into climatically important cloud condensation nuclei (CCN). In this work, we utilize the chemistry transport model ADCHEM to demonstrate that DMS emissions are likely to contribute to the majorit
Changing diagnostic criteria for gestational diabetes (CDC4G) in Sweden : A stepped wedge cluster randomised trial
Background The World Health Organisation (WHO) 2013 diagnostic criteria for gestational diabetes mellitus (GDM) has been criticised due to the limited evidence of benefits on pregnancy outcomes in different populations when switching from previously higher glycemic thresholds to the lower WHO-2013 diagnostic criteria. The aim of this study was to determine whether the switch from previous Swedish
Substantial and Rapid Increase in Soil Health across Crops with Conversion from Conventional to Regenerative Practices
Interest in soil health is growing, though the speed and effectiveness of management practices in improving it are uncertain. We measured biological, chemical, and physical indicators of soil health within a working farm zero, five, and nine years after transitioning from regular applications of inorganic fertilizers and pesticides to cover cropping, compost additions, organic amendments, and rota
Integument colouration and circulating carotenoids in relation to urbanisation in Eurasian kestrels (Falco tinnunculus)
Urbanisation is one of the biggest environmental challenges of our time, yet we still lack an integrative understanding of how cities affect behaviour, physiology and parasite susceptibility of free-living organisms. In this study, we focus on carotenoids, strictly dietary micronutrients that can either be used as yellow-red pigments, for integument colouration (signalling function), or as antioxi
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
At the emergency department (ED), it is important to quickly and accurately determine which patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) models can be used to aid physicians in detecting MACE, and improving the performance of such models is an active area of research. In this study, we sought to determine if ML models can be improved by including a prior
Key Device Attributes for Injectable Somatostatin Receptor Ligand Therapy in Acromegaly and Neuroendocrine Tumours
Introduction: People living with acromegaly and neuroendocrine tumours (NETs) may be treated with injectable somatostatin receptor ligands (SRLs), administered by either a caregiver or as self-injection via a proprietary or generic device. Injection device attributes that contribute to ease of use and storage, minimise preparation requirements, and reduce injection pain are associated with improve
Optimising urinary catecholamine metabolite diagnostics for neuroblastoma
Introduction: The analysis of urinary catecholamine metabolites is a cornerstone of neuroblastoma diagnostics. Currently, there is no consensus regarding the sampling method, and variable combinations of catecholamine metabolites are being used. We investigated if spot urine samples can be reliably used for analysis of a panel of catecholamine metabolites for the diagnosis of neuroblastoma. Method
