Impact of Sex on Cardiac Functional Adaptation to Different Modes of Exercise Training: A Randomized Cross-Over Study.

Purpose: We hypothesized that male and female volunteers would exhibit distinct changes in cardiac morphology, systolic, and diastolic function following endurance (END) and resistance (RES) training.

Methods: Thirty-eight females and 26 males participated in a randomized cross-over design trial in which all participants completed 12-weeks END and RES, separated by a 12-week washout. Echocardiograms assessed morphology (left ventricular mass, LVM), systolic function (ejection fraction, EF, and global longitudinal strain, GLS), diastolic function (mitral valve velocities, E, A; tissue Doppler velocities, e', a'), and left atrial volume.

Impact of the COVID-19 pandemic on the experiences of underrepresented-in-medicine women applicants to surgical residency.

Background: The COVID-19 pandemic brought additional challenges to the 2020-2021 application cycle. The objective of this study was to explore how such challenges altered the perceptions/motivations/concerns of applicants to surgical fields, particularly those self-identifying as women underrepresented-in-medicine (UiM).

Methods: An anonymous mixed-methods survey was electronically distributed to all medical student members of the Association of Women Surgeons between 10/1/2020-12/31/2020.

Using damage functions to map heritage climatology at a global scale.

This paper investigates heritage climatology through global analysis of damage functions for collections, aiming to learn about the reliability of these functions and the field itself. It addresses the growing interest in geospatial analysis of climate hazards for cultural heritage, proposing parameters that refine climate-related deterioration processes. Using global daily climate data from 1991 to 2020, the study assesses damage functions reliant on temperature and relative humidity inputs, including damage functions for paper and metals, alongside indices for humidity fluctuations and mould growth.

Identification of CT based radiomic biomarkers for progression free survival in head and neck squamous cell carcinoma.

This study addresses the limited noninvasive tools for Head and Neck Squamous Cell Carcinoma (HNSCC) progression-free survival (PFS) prediction by identifying Computed Tomography (CT)-based biomarkers for predicting prognosis. A retrospective analysis was conducted on data from 203 HNSCC patients. An ensemble feature selection involving correlation analysis, univariate survival analysis, best-subset selection, and the LASSO-Cox algorithm was used to select functional features, which were then used to build final Cox Proportional Hazards models (CPH).