The original version of this Article contained an error in the third sentence of the first paragraph of the 'Spin polarizing the Sr ion with ultracold atoms' section of the Results, which incorrectly read 'The Langevin collision rate is 1.' The correct version adds 'kHz' after '1.' The fifth sentence of this same paragraph originally read as "Although Rb has a I = 3/2 nuclear spin and a hyperfine-split ground-state manifold, Sr has no nuclear spin and a Zeeman split two-fold ground state", which is incorrect. The correct version states "Sr+" instead of "Sr". The first sentence of the fourth paragraph of this same section originally read as "As the collisional energies are on the mK energy scale, spin exchange between Sr and Rb prepared in the F = 1 state is allowed only as long as it does not require Rb to change its hyperfine state and climb the 330 m hyperfine energy gap", which is incorrect. The correct version states "330 mK" instead of "330 m".In the Discussion section, the text was originally incorrectly repeated.This has been corrected in both the PDF and HTML versions of the Article.
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http://dx.doi.org/10.1038/s41467-018-04165-0 | DOI Listing |
J Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
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Radiol Artif Intell
January 2025
From the Department of Radiology (E.J.H., S.K., H.K., D. K., S.H.Y.) and Medical Research Collaborating Center (H.H.), Seoul National University Hospital, 101 Daehak- ro, Jongno-gu, Seoul 03080, Korea; Department of Radiology, Seoul National University College of Medicine (E.J.H., H.K., S.H.Y.), Seoul, Korea; Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine (S-J.Y., Seoul, Korea).
Quantifying pleural effusion change on chest CT is important for evaluating disease severity and treatment response. The purpose of this study was to assess the accuracy of artificial intelligence (AI)-based volume quantification of pleural effusion change on CT images, using the volume of drained fluid as the reference standard. Seventy-nine participants (mean age, 65 ± [SD] 13 years; 47 male) undergoing thoracentesis were prospectively enrolled from October 2021 to September 2023.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark.
We present the theory and implementation of a fully variational wave function-density functional theory (DFT) hybrid model, which is applicable to many cases of strong correlation. We denote this model as the multiconfigurational self-consistent on-top pair-density functional theory (MC-srPDFT) model. We have previously shown how the multiconfigurational short-range DFT (MC-srDFT) hybrid model can describe many multiconfigurational cases of any spin symmetry and also state-specific calculations on excited states [Hedegård et al.
View Article and Find Full Text PDFIntegr Cancer Ther
January 2025
Department of Physiotherapy, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Background: Adherence in rehabilitation services includes attending appointments, regularly performing prescribed exercises, and correct exercise execution. The Exercise Adherence Rating Scale (EARS) has been adapted into several languages, but there is lack of a standardized tool for various Indian languages and cultural contexts, particularly for use with cancer survivors. With the anticipated 57.
View Article and Find Full Text PDFImaging Neurosci (Camb)
August 2024
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Functional magnetic resonance imaging (fMRI) has emerged as an essential tool for exploring human brain function. Submillimeter fMRI, in particular, has emerged as a tool to study mesoscopic computations. The inherently low signal-to-noise ratio (SNR) at submillimeter resolutions warrants the use of denoising approaches tailored at reducing thermal noise-the dominant contributing noise component in high-resolution fMRI.
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