Ancient and modern mechanisms compete in progesterone receptor activation.

The progesterone receptor (PR) belongs to the steroid receptor family of ligand-regulated transcription factors, controlling genes important for development, metabolism, and reproduction. Understanding how diverse ligands bind and modulate PR activity will illuminate the design of ligands that control PR-driven signaling pathways. Here, we use molecular dynamics simulations to investigate how PR dynamics are altered by functionally diverse ligands.

Fault Detection in 3D Printing: A Study on Sensor Positioning and Vibrational Patterns.

This work examines the use of accelerometers to identify vibrational patterns that can effectively predict the state of a 3D printer, which could be useful for predictive maintenance. Prototypes using both a simple rectangular shape and a more complex Octopus shape were fabricated and evaluated. Fast Fourier Transform, Spectrogram, and machine learning models, such as Principal Component Analysis and Support Vector Machine, were employed for data analysis.

Experimental Modal Analysis and Characterization of Additively Manufactured Polymers.

Modern 3D printed components are finding applications in dynamic structures. These structures are often subject to dynamic loadings. To date, research has mostly focused on investigating the mechanical properties of these 3D printed structures with minimum attention paid to their modal analysis.

Impact of rurality and substance use on young people at ultra high risk for psychosis.

Background: Longitudinal research into early intervention for youth at ultra high risk (UHR) for psychosis demonstrates beneficial outcomes including increased treatment compliance and greater participation in education and the workforce. Despite known barriers for rural youth accessing mental health services, research comparing urban and rural UHR youth is lacking. The study included an examination of the impact of substance use on functioning of UHR youth.