Background: This study examined the latent factor structures and psychometric properties of three brief versions of the Difficulties in Emotion Regulation Scale (DERS)-DERS-SF, DERS-18, and DERS-16-across large-scale samples of the Korean population.
Methods: Participants from two independent community samples (N = 862 and N = 1,242) completed an online self-report survey, including brief versions of the DERS and associated measures. Confirmatory factor analyses were employed to examine the latent factor structures of the brief versions of the DERS with comparable models.
Int Forum Allergy Rhinol
December 2024
Simulation models have utility in rehearsal of endoscopic skull base repair with a nasoseptal flap. Trainee confidence, technical skill, and repair quality saw significant improvement in this study.
View Article and Find Full Text PDFWe used deep learning methods to develop an AI model capable of autonomously delineating cancerous regions in digital pathology images (H&E-stained images). By using a transgenic brain tumor model derived from the TS13-64 brain tumor cell line, we digitized a total of 187 H&E-stained images and annotated the cancerous regions in these images to compile a dataset. A deep learning approach was executed through DEEP:PHI, which abstracts Python coding complexities, thereby simplifying the execution of AI training protocols for users.
View Article and Find Full Text PDFAmino-terminal (Nt-) acetylation (NTA) is a common protein modification, affecting 80% of cytosolic proteins in humans. The human essential gene, encodes the enzyme NAA10, as the catalytic subunit for the N-terminal acetyltransferase A (NatA) complex, including the accessory protein, NAA15. The first human disease directly involving was discovered in 2011, and it was named Ogden syndrome (OS), after the location of the first affected family residing in Ogden, Utah, USA.
View Article and Find Full Text PDF