A self-consistency analysis of backbone N-H residual dipolar couplings of ubiquitin collected in 10 different media is described to assess the degree of structural and dynamic heterogeneous behavior across the media. The SECONDA method, which works with and without any structural or dynamic information about the molecular system, is based on a principal component analysis and is very sensitive to the presence of heterogeneities or experimental errors. It is found that the regular secondary structural elements behave highly homogeneously, while small heterogeneities are manifested in the loop region 51-63. Many residues that exhibit increased dynamics in NMR relaxation experiments are inert with respect to changes in the alignment.
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Front Artif Intell
January 2025
Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Augusta, GA, United States.
Background: Large language models (LLMs) have demonstrated impressive performance on medical licensing and diagnosis-related exams. However, comparative evaluations to optimize LLM performance and ability in the domain of comprehensive medication management (CMM) are lacking. The purpose of this evaluation was to test various LLMs performance optimization strategies and performance on critical care pharmacotherapy questions used in the assessment of Doctor of Pharmacy students.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Engineering, iHealth Labs, Sunnyvale, CA, 94085, United States.
Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and facilitating medical education. Although state-of-the-art LLMs have shown superior performance in several conversational applications, evaluations within nutrition and diet applications are still insufficient. In this paper, we propose to employ the Registered Dietitian (RD) exam to conduct a standard and comprehensive evaluation of state-of-the-art LLMs, GPT-4o, Claude 3.
View Article and Find Full Text PDFChaos
January 2025
Centre for Mathematical Science, Lund University, Märkesbacken 4, 223 62 Lund, Sweden.
We investigate the dynamics of the adaptive Kuramoto model with slow adaptation in the continuum limit, N→∞. This model is distinguished by dense multistability, where multiple states coexist for the same system parameters. The underlying cause of this multistability is that some oscillators can lock at different phases or switch between locking and drifting depending on their initial conditions.
View Article and Find Full Text PDFPhys Rev Lett
November 2024
School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China.
Capturing the intricate dynamics of partially coherent patterns in coupled oscillator systems is vibrant and one of the crucial areas of nonlinear sciences. Considering higher-order Fourier modes in the coupling, we discover a novel type of clustered coherent state in phase models, where inside the coherent region oscillators are further split into q dynamically equivalent subgroups with a 2π/q phase difference between two neighboring subgroups, forming a multicoherent-phase (MUP) chimera state. Both a self-consistency analysis and the Ott-Antonsen dimension reduction techniques are used to theoretically derive these solutions, whose stability are further demonstrated by spectral analysis.
View Article and Find Full Text PDFNeural Netw
March 2025
DUT School of Software Technology and DUT-RU International School of Information Science and Engineering, Dalian University of Technology, TuQiang 321 street, Development Zone, Dalian, 116620, Liaoning, China.
Deep graph clustering is a fundamental yet challenging task for graph data analysis. Recent efforts have witnessed significant success in combining autoencoder and graph convolutional network to explore graph-structured data. However, we observe that these approaches tend to map different nodes into the same representation, thus resulting in less discriminative node feature representation and limited clustering performance.
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