Risk Factors and Predictors for Persistent Dyspnea Post-COVID-19: A Systematic Review.

The most frequently reported post-coronavirus disease of 2019 (COVID-19) symptoms include shortness of breath, fatigue, and cognitive disturbances, with reports of persistent dyspnea ranging between 26% and 41%. There is an urgent need to understand the risk factors and predictors for persistent COVID-19 dyspnea in individuals at all levels of COVID-19 illness severity, to enable the implementation of targeted interventions for those likely to be most affected with persistent dyspnea. Thus, the purpose of this systematic review is to explore the risk factors and predictors that are associated with persistent dyspnea in the post-COVID-19 population.

The bioavailability and blood levels of low-dose rapamycin for longevity in real-world cohorts of normative aging individuals.

Rapamycin, also known as sirolimus, has demonstrated great potential for application in longevity medicine. However, the dynamics of low-dose rapamycin bioavailability, and any differences in bioavailability for different formulations (e.g.

Molecular hallmarks of excitatory and inhibitory neuronal resilience and resistance to Alzheimer's disease.

Background: A significant proportion of individuals maintain healthy cognitive function despite having extensive Alzheimer's disease (AD) pathology, known as cognitive resilience. Understanding the molecular mechanisms that protect these individuals can identify therapeutic targets for AD dementia. This study aims to define molecular and cellular signatures of cognitive resilience, protection and resistance, by integrating genetics, bulk RNA, and single-nucleus RNA sequencing data across multiple brain regions from AD, resilient, and control individuals.

Generative adversarial networks with fully connected layers to denoise PPG signals.

Objective: The detection of arterial pulsating signals at the skin periphery with Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the alternatives to the aid of PPG reconstruction with movement sensors (accelerometer and/or gyroscope) which to date have demonstrated the best pulsating signal reconstruction.

Approach: A generative adversarial network with fully connected layers (FC-GAN) is proposed for the reconstruction of distorted PPG signals.

Impact of luteal blood perfusion and expression of estrus on pregnancy rates of Bos taurus embryo recipients exposed to fixed-time embryo transfer.

This study evaluated the impact of luteal blood perfusion (BP) and expression of estrus on pregnancy rates of Bos taurus embryo recipients exposed to fixed-timed embryo transfer (FTET) using a gonadotropin-releasing hormone (GnRH)- and progesterone-based ovulation synchronization protocol. Postpartum beef cows (n = 746) were exposed to a GnRH/progesterone-based ovulation synchronization protocol. Luteal morphometry and BP were assessed using color Doppler ultrasonography 9 days after CIDR removal concurrently with FTET.