Ultraprecise Determination of Cs(nS_{1/2}) and Cs(nD_{J}) Quantum Defects for Sensing and Computing: Evaluation of Core Contributions.

We make absolute frequency measurements of Cs Rydberg transitions, |6S_{1/2},F=3⟩→|nS_{1/2}(n=23-90)⟩ and |nD_{3/2,5/2}(n=21-90)⟩, with an accuracy of less than 72 kHz. The quantum defect parameters for the measured Rydberg series are the most precise obtained to date. The quantum defect series is terminated at δ_{4}, showing that prior fits requiring higher order quantum defects reflect uncertainties in the observations.

Systematic Review and Meta-Analysis of Female Reproductive Health Following Ebola Virus Disease.

The viral hemorrhagic fevers Lassa fever (LF) and Ebola virus disease (EVD) have been documented to cause long-term health problems in survivors. Limited studies have noted the presence of adverse reproductive health outcomes, including menstrual irregularities and pregnancy loss, after recovery from infection. The objective of this systematic review and meta-analysis is to summarize existing knowledge surrounding reproductive health in female survivors of LF and EVD.

Retinal Vessel Plexus Differentiation Based on OCT Angiography Using Deep Learning.

Purpose: Although structural OCT is traditionally used to differentiate the vascular plexus layers in OCT angiography (OCTA), the vascular plexuses do not always obey the retinal laminations. We sought to segment the superficial, deep, and avascular plexuses from OCTA images using deep learning without structural OCT image input or segmentation boundaries.

Design: Cross-sectional study.

Mapping genes for human face shape: Exploration of univariate phenotyping strategies.

Human facial shape, while strongly heritable, involves both genetic and structural complexity, necessitating precise phenotyping for accurate assessment. Common phenotyping strategies include simplifying 3D facial features into univariate traits such as anthropometric measurements (e.g.

Associations between DNA methylation and cognitive function in early-stage hormone receptor-positive breast cancer patients.

Background: Approximately one-third of breast cancer (BC) patients show poorer cognitive function (CF) before receiving adjuvant therapy compared with age-matched healthy controls. However, the biological mechanisms driving CF variation in the context of BC remain unclear. In this study, we aimed to identify genes and biological pathways associated with CF in postmenopausal women with early-stage hormone receptor-positive (HR+) BC using DNA methylation (DNAm) data, a dynamic regulator of gene activity.