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Interplay between Aharonov-Bohm and Altshuler-Aronov-Spivak oscillations in phase-pure GaAs/InAs core/shell nanowires of different lengths
(2026-10) Basarić, Farah; Wang, Kaiwen; Dumitru, Tudor Gabriel; Manolescu, Andrei; Alvarado Cesar, Francisco; Sanchez, Ana M.; Krause, Christoph; Grützmacher, Detlev; Pawlis, Alexander; Schäpers, Thomas; Department of Engineering
In GaAs/InAs core/shell nanowires, comprising a tubular conducting shell, interference phenomena observed under an axial field and originating from closed-loop states encircling the insulating core provide an ideal platform for superconducting quantum devices that utilize effects such as Aharonov-Bohm–type or Altshuler-Aronov-Spivak–type conductance oscillations. Both effects are different in nature with respect to phase rigidity because of interference of non-time-reversed or time-reversed paths, respectively. Since their occurrence is largely governed by averaging effects, which depend on sample dimensions and the transport regime, we present a systematic study of flux-periodic oscillations of phase-pure zinc-blende GaAs/InAs core/shell nanowires as a function of gate voltage for samples with different contact separation lengths. Our analysis shows that with increasing contact separation length, averaging effects result in gradual reduction of h/e-periodic Aharonov-Bohm–type oscillations, while relative to that the h/2e-periodic Altshuler-Aronov-Spivak oscillations and its h/4e-periodic higher harmonics are enhanced. The additional phase rigidity seen in the h/3e-periodic oscillations is attributed to phase rigidity propagating from the neighboring lower harmonics. Our tight-binding transport simulations on nanowires of different lengths which contain only a few scattering centers confirm the experimental observations regarding the different harmonics and their phase rigidity. Together, our experimental and simulation findings indicate quasiballistic transport with persistent Aharonov-Bohm–type and phase-rigid Altshuler-Aronov-Spivak–type oscillations despite few scattering centers.
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Global, regional, and national prevalence of second-hand smoke and attributable disease burden in 204 countries and territories, 1990–2023 : a systematic analysis for the Global Burden of Disease Study 2023
(2026-10) E.GakidouEmmanuelaGBD 2023 Second-hand smoke Collaborators; Department of Psychology
Background Second-hand smoke (SHS) exposure remains a major source of morbidity and mortality among non-smokers. This study presents the first dedicated Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) publication to systematically quantify SHS prevalence and evaluate its effect as a global risk factor across a broader range of outcomes. Methods Using the GBD 2023 comparative risk assessment framework, we estimated SHS exposure prevalence and attributable disease burden across 204 countries and territories from 1990 to 2023, stratified by age and sex. Exposure estimates were derived by synthesising population-based surveys and household composition data through spatiotemporal Gaussian process regression. Relative risks for nine health outcomes, now including asthma, were estimated using the Burden of Proof methodology, and applied to calculate attributable deaths and disability-adjusted life-years (DALYs). Findings In 2023, an estimated 2·71 billion (95% UI 2·44–3·02) people worldwide were exposed to SHS, including 767 million (687–858) children aged 0–14 years. Age-standardised prevalence was highest in southeast Asia, east Asia, and Oceania (48·4% [44·0–53·4]), with female individuals in some countries experiencing nearly 1·8 times the exposure prevalence of male individuals. Despite a 22·2% (10·6–32·4) decline in global age-standardised prevalence since 1990, this progress has not been sufficient to reduce the absolute number of exposed individuals, which has remained stable globally and has risen sharply in sub-Saharan Africa (98·5% [62·0–144·4] increase) and North Africa and the Middle East (72·1% [47·8–101·8] increase). In 2023, SHS exposure accounted for 1·66 million (1·33–2·07) deaths and 44·8 million (35·8–54·3) DALYs globally. Ischaemic heart disease was the leading contributor to SHS-attributable DALYs (12·0 million [9·31–15·2]) overall, while lower respiratory infections predominated among children (5·16 million [3·48–7·12]). Interpretation We estimated that SHS remains a substantial driver of global health loss, particularly through cardiovascular and paediatric respiratory diseases. Persistent geographical disparities and growing absolute numbers of exposed individuals in several regions underscore the urgent need for accelerated implementation and enforcement of comprehensive tobacco control measures, particularly to protect women and children in both public and domestic environments. Funding Bloomberg Philanthropies and the Gates Foundation.
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Automated deep learning-based arousal detection agrees with ten expert scorers in unseen data
(2026-10) Pitkänen, Henna; Huttunen, Riku; Tashakori, Masoumeh; Rissanen, Marika; Rusanen, Matias; Gretarsdottir, Heidur; Arnardottir, Erna Sif; Paunio, Tiina; Kulkas, Antti; Nikkonen, Sami; Leppänen, Timo; Korkalainen, Henri; Department of Engineering
Study Objectives: Automatic arousal scoring is essential for the cost-effective analysis of polysomnograms. Many previous automatic methods have been tested in homogeneous, single-center datasets, and all against one scorer, on event-by-event basis, or in 30-s segments. We developed a deep learning-based arousal scoring model and tested it at 1-s resolution in an independent dataset scored by ten expert scorers from seven different sleep centers. Materials and Methods: A fully convolutional neural network model was developed using 1847 openly available polysomnograms from the Multi-Ethnic Study of Atherosclerosis (MESA) and tested in 205 hold-out polysomnograms from the MESA cohort, and in an independent Sleep Revolution (SR) cohort of 50 polysomnograms, each scored by ten scorers. Model performance was evaluated on an event-by-event basis and in 1-s segments. In the SR dataset, the performance was tested against each scorer individually and against their majority agreement. Results: In the MESA test set, the model achieved an event-by-event F1-score of 0.77, a 1-s segment κ-value of 0.67, and an arousal index (ArI) intraclass correlation coefficient (ICC) of 0.83. In the multi-scorer SR dataset, the model reached a median event-by-event F1-score, a 1-s κ-value, and an ArI ICC of 0.61, 0.50, and 0.66, respectively, exceeding the corresponding median values of the scorers among themselves (0.57, 0.46, and 0.59, respectively). Conclusions: The model achieved higher median arousal scoring agreement with ten manual scorers than the scorers did among themselves in an independent dataset. This suggests that the model generalizes well and can reliably be used in different sleep recordings.
Verk
From trauma to tolerance : Psychological predictors of gambling harm among male UK Armed Forces Veterans
(2026-09) Ekenna, Adanma; Dekel, Dana; Engward, Hilary; Godier-McBard, Lauren; Kay, Chris; Kersey, Thomas; Fossey, Matt; Dymond, Simon; Department of Psychology
Introduction: Veterans face disproportionately high risks of gambling-related harm, influenced by trauma exposure, emotional dysregulation, and maladaptive coping. However, little is known about how these interconnected psychological traits contribute to gambling harm severity in Veterans. Methods: A cross-sectional survey of 184 UK Armed Forces Veterans assessed socio-demographic and military characteristics, gambling engagement, posttraumatic stress disorder (PTSD), adverse childhood experiences (ACEs), impulsivity, intolerance of uncertainty (IU), and psychological flexibility (PsyFlex). Associations with gambling harm severity, measured using the Problem Gambling Severity Index (PGSI), were examined through chi-squared tests, correlations, and stepwise logistic regression. Results: Of the sample, 25% scored ≥1 on the PGSI, with 3.3% meeting the threshold for problem gambling. Gambling harm severity was significantly associated with PTSD re-experiencing and avoidance, household dysfunction ACE, negative and positive urgency, inhibitory IU, and low PsyFlex. Regression analysis identified PTSD re-experiencing (OR 2.16), PTSD avoidance (OR 0.27), inhibitory IU (OR 7.96), and prospective IU (OR 0.12) as significant predictors. Discussion: The findings underscore the multi-faceted psychological vulnerabilities underlying gambling harm in Veterans, thus supporting the need for trauma-informed, personalized interventions. Targeted screening for IU, impulsivity, and PsyFlex could improve prevention and treatment efforts.
Verk
Correction to : Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery (Nature Energy, (2019), 4, 12, (1040-1048), 10.1038/s41560-019-0501-4)
(2025-03) Lohrmann, Alena; Farfan, Javier; Caldera, Upeksha; Lohrmann, Christoph; Breyer, Christian; Department of Computer Science
Correction to: Nature Energyhttps://doi.org/10.1038/s41560-019-0501-4, published online 25 November 2019.

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