Dual-Baseline Search for Active-to-Sterile Neutrino Oscillations in NOvA.

We report a search for neutrino oscillations to sterile neutrinos under a model with three active and one sterile neutrinos (3+1 model). This analysis uses the NOvA detectors exposed to the NuMI beam, running in neutrino mode. The data exposure, 13.

AAPM Medical Physics Practice Guideline MPPG 17.a: Quality management for mammography review workstation displays.

The Mammography Quality Standards Act (MQSA) sets quality standards for displays used to interpret mammography images. With the shift to digital mammography and the widespread use of remote reading workstations (RWS), updated quality management (QM) programs are needed to ensure consistent image presentation and accurate interpretation. This document recommends a QM framework for mammography RWS displays, addressing challenges such as remote environments, regulatory compliance, and evolving technology.

The when, what, and where of naturally-acquired microchimerism.

Naturally acquired microchimerism (Mc) is increasingly recognized as an aspect of normal biology. Maternal-fetal bi-directional exchange during pregnancy creates a Mc legacy for the long-term in both individuals. Maternal Mc in her offspring and Mc of fetal origin in women with previous births are best studied.

Effect of sex chromosome complement versus gonadal hormones on abundance of renal transporters.

Sex differences in renal tubular salt and water transporters, channels, claudins and regulatory factors are evident all along the nephron. The influence of sex hormones on physiologic dimorphisms has been established in studies removing, inhibiting or restoring sex hormones and their receptors. The influence of the sex chromosome complement (SCC, XY vs.

Machine Learning Accurately Predicts Patient-Reported Outcomes 1 Year After Breast Reconstruction.

Objective: To develop and evaluate machine learning algorithms for predicting patient-reported outcomes following breast reconstruction.

Summary Of Background Data: Machine learning may inform PROs in breast reconstruction, possibly enhancing shared decision-making and tailoring patient care.

Methods: Data on patient characteristics, reconstructive technique, and BREAST-Q scores from women undergoing breast reconstruction at Memorial Sloan Kettering Cancer Center (MSKCC) between January 2010 and March 2024 was retrospectively collected.