Measurement of CP Violation Observables in D^{+}→K^{-}K^{+}π^{+} Decays.

A search for violation of the charge-parity (CP) symmetry in the D^{+}→K^{-}K^{+}π^{+} decay is presented, with proton-proton collision data corresponding to an integrated luminosity of 5.4  fb^{-1}, collected at a center-of-mass energy of 13 TeV with the LHCb detector. A novel model-independent technique is used to compare the D^{+} and D^{-} phase-space distributions, with instrumental asymmetries subtracted using the D_{s}^{+}→K^{-}K^{+}π^{+} decay as a control channel.

Basic Science and Pathogenesis.

Background: Current evidence suggests that hippocampal subfields have partially different genetic architecture and may improve the sensitivity of the detection of Alzheimer's disease (AD). In this study, we investigated whether genetic predisposition to AD contributes to the accelerated rate of hippocampal volume atrophy across sex and AD stages and how this contribution is specifically driven by functional variants located in the APOE gene.

Methods: The study comprised 1,051 participants from ADNI cohort (75.

Do Routine Postoperative Radiographs Influence the Management of Distal Radius Fractures Following Volar Locking Plate Fixation?

Background: Distal radius fractures (DRFs) are a common orthopaedic injury, often requiring surgical intervention. Routine postoperative radiographs are frequently obtained after surgical fixation to ensure adequacy of fixation and rule out early complications, yet their necessity remains unclear. Through this study, we tried to evaluate the impact of routine postoperative radiographs on the management of DRFs.

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

In this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MRI (LFMRI) using an advanced 3D deep convolutional residual network model. Our approach employs synthetic brain imaging datasets that closely mimic the contrast and noise characteristics of LFMRI scans, addressing the limitation of available in-vivo LFMRI datasets for training deep learning models. In the simulation data, the Relative Contrast Ratio (RCR) increased, and similar improvements were observed in the in-vivo data across different imaging conditions.