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A computational protocol utilizing density functional theory calculations, including Poisson-Boltzmann implicit solvent and free energy corrections, is applied to study the thermodynamic and kinetic energy landscape of glycolaldehyde in solution. Comparison is made to NMR measurements of dissolved glycolaldehyde, where the initial dimeric ring structure interconverts among several species before reaching equilibrium where the hydrated monomer is dominant. There is good agreement between computation and experiment for the concentrations of all species in solution at equilibrium, that is, the calculated relative free energies represent the system well. There is also relatively good agreement between the calculated activation barriers and the estimated rate constants for the hydration reaction. The computational approach also predicted that two of the trimers would have a small but appreciable equilibrium concentration (>0.005 M), and this was confirmed by NMR measurements. Our results suggest that while our computational protocol is reasonable and may be applied to quickly map the energy landscape of more complex reactions, knowledge of the caveats and potential errors in this approach need to be taken into account.
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http://dx.doi.org/10.1021/jp312202j | DOI Listing |
Braz Oral Res
September 2025
Ankara University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Ankara, Turkey.
The aim of this in-vitro study was to verify which field of view (FOV) in cone-beam computed tomography (CBCT) yields greater accuracy in the detection of internal root resorption (IRR) volume, in comparison to the gold standard of micro-computed tomography (micro-CT) and to a physical method. Twenty-five extractedsingle-rooted teeth were scanned by CBCT with two different FOV parameters (6x6-FOV and 10x10-FOV) and via micro-CT. The volume of dental hard tissue was measured on these images.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
View Article and Find Full Text PDFAm J Physiol Regul Integr Comp Physiol
September 2025
Human and Environmental Physiology Research Unit, School of Human Kinetics, University of Ottawa, Ottawa, ON, Canada.
to explore sex and heating rate effects on frequency-domain indicators of the mechanisms modulating cutaneous vasodilation during local heating. In thirty young adults (21±3 years, 15 females), wavelet analysis of skin blood flux was assessed from laser-Doppler flux signals at the chest, abdomen, arm, forearm, thigh, and calf during rapid (33-42°C; 1°C·20 s) and gradual (33-42°C; 1°C·5 min) local skin heating. A wavelet transform using a Morlet mother wavelet was computed over the entire signal for each heating protocol (minimum 90 minutes) and 5-min time windows were subsequently isolated to determine responses during baseline and the 42°C heating plateau.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.
Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, Emory University, Atlanta, Georgia, United States of America.
Background: Erythema, an early visual indicator of tissue damage preceding pressure injuries (PrIs), presents as redness in light skin tones but is harder to detect in dark skin tones. While thermography shows promise for early PrI detection, validation across different skin tones remains limited. Furthermore, most protocols and models have been developed under highly controlled conditions.
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