Publications by authors named "J M Freed"
Pulsed Dipolar ESR Spectroscopy (PDS) is a uniquely powerful technique to characterize the structural property of intrinsically disordered proteins (IDPs) and polymers and the conformational evolution of IDPs and polymers, e.g. during assembly, by offering the probability distribution of segment end-to-end distances.
View Article and Find Full Text PDFDouble electron electron resonance (DEER) spectroscopy is an important technique to measure distance distributions () for studying protein structures and protein-protein interactions. DEER data analysis can at times become challenging due to the lack of a detailed analytical signal expression or numerical methods with rapid computation time. We have derived an analytical expression κ, which includes both the pseudo-secular dipolar coupling (PSDC) and the finite pulse effects, especially important for shorter distances.
View Article and Find Full Text PDFMagnetic resonance imaging (MRI) has emerged as a promising technique for non-invasive medical imaging. The primary challenge in MRI is the trade-off between image visual quality and acquisition time. Current MRI image denoising algorithms employ global thresholding to denoise the whole image, which leads to inadequate denoising or image distortion.
View Article and Find Full Text PDFArticle Synopsis
- Wavelet denoising is key for effectively removing noise from signals, with mother wavelet selection crucial for differentiating noise and signal coefficients.
- The paper presents an empirical method for optimal wavelet selection based on the sparsity of Detail components, which improves over traditional trial-and-error approaches.
- Results show that the mean of sparsity change increases with the Signal-to-Noise Ratio (SNR), indicating that fewer wavelets are needed for low SNR data while multiple wavelets can be effective for higher SNR scenarios.
Importance: Large language model (LLM) artificial intelligence (AI) systems have shown promise in diagnostic reasoning, but their utility in management reasoning with no clear right answers is unknown.
Objective: To determine whether LLM assistance improves physician performance on open-ended management reasoning tasks compared to conventional resources.
Design: Prospective, randomized controlled trial conducted from 30 November 2023 to 21 April 2024.