Irregular attendance in breast cancer screening has been associated with higher breast cancer mortality compared to regular attendance. Early performance measures of a screening program following regular versus irregular screening attendance have been less studied. We aimed to investigate early performance measures following regular versus irregular screening attendance. Methods We used information ...

In their lead article, Klug et al. conceptualize job insecurity as a multilevel construct whereby individuals are situated in meso- and macro-level contexts. Their resulting model highlights that the experience of job insecurity, as well as reactions to job insecurity, are not only affected by factors emanating from individuals' direct environment (i.e., at the individual level) but also from different ...

The use of diaryliodonium salts in organic reactions has rapidly increased in the last decade because of their efficiency in arylation reactions. Despite this, mechanistic investigations are still scarce, particularly for copper catalyzed N-arylation reactions. Recently, we published the use of the unsymmetrical aryl(TMP)iodonium salts (TMP=2,4,6-trimethoxyphenyl) for the selective Cu-catalyzed ...

Bæredygtighed indebærer at tænke langsigtet og i netværk af forbindelser, som i sidste ende har global effekt. Det skal inkluderes i de sundhedsvidenskabelige uddannelser.

The recent review of Molot et al. (2023) appropriately emphasizes Multiple Chemical Sensitivity (MCS) as a growing health issue and the necessity of dedicated healthcare and medical education. The authors explain MCS mainly as the result of the sensitization of transient receptor potential (TRP) receptors, notably TRPV1 and TRPA1, and oppose this explanation to psychological processes as a causal ...

More than 38% of both screen-detected and interval cancers were assigned the highest artificial intelligence risk score on screening mammograms that preceded breast cancer diagnosis.<p> <p>Background - Few studies have evaluated the role of artificial intelligence (AI) in prior screening mammography.<p> <p>Purpose - To examine AI risk scores assigned to screening mammography in women who were ...

Intermittent plasma fluctuations in the boundary region of the Alcator C-Mod device were comprehensively investigated using data time-series from gas puff imaging and mirror Langmuir probe diagnostics. Fluctuations were sampled during stationary plasma conditions in ohmically heated, lower single null diverted configurations with scans in both line-averaged density and plasma current, with Greenwald ...

The development of semi-supervised learning (SSL) has in recent years largely focused on the development of new consistency regularization or entropy minimization approaches, often resulting in models with complex training strategies to obtain the desired results. In this work, we instead propose a novel approach that explicitly incorporates the underlying clustering assumption in SSL through extending ...

The lack of relevant annotated datasets represents one key limitation in the application of Natural Language Processing techniques in a broad number of tasks, among them Protected Health Information (PHI) identification in Norwegian clinical text. In this work, the possibility of exploiting resources from Swedish, a very closely related language, to Norwegian is explored. The Swedish dataset is ...

Explainable AI (XAI) is a rapidly evolving field that aims to improve transparency and trustworthiness of AI systems to humans. One of the unsolved challenges in XAI is estimating the performance of these explanation methods for neural networks, which has resulted in numerous competing metrics with little to no indication of which one is to be preferred. In this paper, to identify the most reliable ...