Comparison of baseline global gene expression profiles of prostate cancer cell lines LNCaP and DU145.

Introduction: DU145 and LNCaP are classic prostate cancer cell lines. Characterizing their baseline transcriptomics profiles (without any intervention) can offer insights into baseline genetic features and oncogenic pathways that should be considered while interpreting findings after various experimental interventions such as exogenous gene transfection or drug treatment.

Methods: LNCaP and DU145 cell lines were cultured under normal conditions, followed by RNA extraction, cDNA conversion, library preparation, and RNA sequencing using the Illumina NovaSeq platform.

Socioeconomic inequalities in high-risk fertility behaviors over time in Ethiopia.

Introduction: High-risk fertility behaviors (HRFB), including short birth intervals, early or late childbearing age, and high parity, are associated with adverse pregnancy outcomes. Understanding the importance of socioeconomic disparity in HRFB and the factors influencing this disparity is essential to improve maternal and child survival, Accordingly, this study investigated socioeconomic inequalities in HRFB over time and its contributing factors.

Methods: We included a total weighted sample of 11,163 and 5,527 women aged 15 to 49 years from the 2005 and 2019 Ethiopia Demographic and Health Surveys, respectively.

Impact of breastfeeding and formula feeding on immune cell populations and blood cell parameters: an observational study.

Objective: Breastfeeding is associated with improved health outcomes in infancy and throughout adulthood as breast milk encompasses diverse immune-active factors that affect the ontogeny of the immune system in breastfed (BF) infants. Nevertheless, the impact of infant feeding on the immune system is poorly understood, and a comprehensive understanding of immune system development in human infants is lacking. In this observational study, we addressed the effects of different infant feeding approaches on cell populations and parameters in the peripheral blood of infants to gain insight into the innate and adaptive arms of the immune system.

Correction: Physical modeling of the effect of shape, blockage, and flow variability on scour in culvert outlets.

[This corrects the article DOI: 10.1371/journal.pone.

ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke.

Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a large labeled dataset from the new condition, session, or subject to train intent classifiers; however, this data collection process is burdensome and time-consuming.