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Performance of Chat Generative Pre-Trained Transformer on Personal Review of Learning in Obstetrics and Gynecology.
South Med J
February 2025
From the Departments of Urology.
Objectives: Chat Generative Pre-Trained Transformer (ChatGPT) is a popular natural-language processor that is able to analyze and respond to a variety of prompts, providing eloquent answers based on a collection of Internet data. ChatGPT has been considered an avenue for the education of resident physicians in the form of board preparation in the contemporary literature, where it has been applied against board study material across multiple medical specialties. The purpose of our study was to evaluate the performance of ChatGPT on the Personal Review of Learning in Obstetrics and Gynecology (PROLOG) assessments and gauge its specialty specific knowledge for educational applications.
View Article and Find Full Text PDFIdentification method of wheel-rail two-point contact state in switch area.
Sci Rep
January 2025
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Two-point contact is one of the fundamental problems of wheel-rail contact in switch area. The contact state and the distribution of forces are complex and essential points in wheel-rail relationship. Given the problem that the current dynamic wheel-rail contact state is challenging to detect, a theory to detect the two-point contact state of the wheel-rail in switch area using a discrete gauge column was presented and proved in the finite element model.
View Article and Find Full Text PDFTilting deformation analysis and instability prediction of arch-locked-segment landslides induced by rainfall.
Sci Rep
January 2025
College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
The failure of locked-segment landslides is associated with the destruction of locked segments that exhibit an energy accumulation effect. Thus, understanding their failure mode and instability mechanism for landslide hazard prevention and control is critical. In this paper, multiple instruments, such as tilt sensors, pore water pressure gauges, moisture sensors, matrix suction sensors, resistance strain gauges, miniature earth pressure sensors, a three-dimensional (3D) laser scanner, and a camera, were used to conduct the physical model tests on the rainfall-induced arch locked-segment landslide to analyze the resulting tilting deformation and evolution mechanism.
View Article and Find Full Text PDFGenerative design of crystal structures by point cloud representations and diffusion model.
iScience
January 2025
School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Efficiently generating energetically stable crystal structures has long been a challenge in material design, primarily due to the immense arrangement of atoms in a crystal lattice. To facilitate the discovery of stable materials, we present a framework for the generation of synthesizable materials leveraging a point cloud representation to encode intricate structural information. At the heart of this framework lies the introduction of a diffusion model as its foundational pillar.
View Article and Find Full Text PDFA mirror-image experiment: Sorting carbon nanotubes by L-DNA.
PNAS Nexus
January 2025
Department of Chemistry, New York University, 100 Washington Square East, New York, NY 10003, USA.
DNA has found increasing applications in molecular engineering, yet its chiral property has rarely been utilized. Here, we report a mirror-image experiment using naturally occurring D-DNA and its enantiomer L-DNA to sort a chiral mixture of single-wall carbon nanotubes (SWCNTs). We find that parity conservation leads to a robust experimental outcome: changing DNA chirality results in handedness inversion of the purified nanotube.
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