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An approach to determine the net predictive multivariate association pattern between cardiorespiratory fitness and a high-resolution physical activity spectrum in the presence of multicollinear covariates.
J Sports Sci
January 2025
Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway.
Multivariate pattern analysis was recently extended with covariate projections to solve the challenging task of modelling and interpreting associations in the presence of linear dependent multivariate covariates. Within a joint model, this approach allows quantification of the net association pattern between the outcome and the explanatory variables and between the individual covariates and these variables. The aim of this paper is to apply this methodology to establish the net multivariate association pattern between cardiorespiratory fitness (CRF) and a high-resolution linear dependent physical activity (PA) intensity descriptor derived from accelerometry in children and to validate the crucial sub-regions in the PA spectrum predicting CRF.
View Article and Find Full Text PDFPredictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study.
BMC Pulm Med
January 2025
Department of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.
Background: Fibrotic types of interstitial lung abnormalities seen on high-resolution computed tomography scans, characterised by traction bronchiolectasis/bronchiectasis with or without honeycombing, are predictors of progression and poor prognostic factors of interstitial lung abnormalities. There are no reports on the clinical characteristics of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. Therefore, we aimed to examine these clinical characteristics and clarify the predictive factors of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans.
View Article and Find Full Text PDFA neural network for long-term super-resolution imaging of live cells with reliable confidence quantification.
Nat Biotechnol
January 2025
Department of Automation, Tsinghua University, Beijing, China.
Super-resolution (SR) neural networks transform low-resolution optical microscopy images into SR images. Application of single-image SR (SISR) methods to long-term imaging has not exploited the temporal dependencies between neighboring frames and has been subject to inference uncertainty that is difficult to quantify. Here, by building a large-scale fluorescence microscopy dataset and evaluating the propagation and alignment components of neural network models, we devise a deformable phase-space alignment (DPA) time-lapse image SR (TISR) neural network.
View Article and Find Full Text PDFDrainage from intentional extramacular holes after internal limiting membrane insertion to treat macular hole retinal detachment in highly myopic eyes.
Int Ophthalmol
January 2025
Department of Ophthalmology, Central Theater General Hospital, 627 Wuluo Road, Wuhan, 430070, China.
Purpose: The purpose is to evaluate the effect of drainage from intentional extramacular holes after internal limiting membrane insertion to treat macular hole retinal detachment (MHRD) in highly myopic eyes.
Methods: This study is a retrospective, observational, and comparative case series that included 25 consecutive highly myopic eyes with MHRD. All eyes underwent standard 23-gauge vitrectomy, inverted internal limiting membrane insertion into the macular hole, subretinal fluid drainage from an intentionally created extramacular retinal hole, and tamponade with either silicone oil (SO group, n = 13) or perfluoropropane (CF group, n = 12).
Three-dimensional diffractive acoustic tomography.
Nat Commun
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Acoustically probing biological tissues with light or sound, photoacoustic and ultrasound imaging can provide anatomical, functional, and/or molecular information at depths far beyond the optical diffusion limit. However, most photoacoustic and ultrasound imaging systems rely on linear-array transducers with elevational focusing and are limited to two-dimensional imaging with anisotropic resolutions. Here, we present three-dimensional diffractive acoustic tomography (3D-DAT), which uses an off-the-shelf linear-array transducer with single-slit acoustic diffraction.
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