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Corresponding-states framework for classical and quantum fluids-Beyond Feynman-Hibbs.
J Chem Phys
January 2025
Institute of Thermodynamics and Thermal Process Engineering, University of Stuttgart, Pfaffenwaldring 9, D-70569 Stuttgart, Germany.
Effective potential methods, obtained by applying a quantum correction to a classical pair potential, are widely used for describing the thermophysical properties of fluids with mild nuclear quantum effects. In case of strong nuclear quantum effects, such as for liquid hydrogen and helium, the accuracy of these quantum corrections deteriorates significantly, but at present no simple alternatives are available. In this work, we solve this issue by developing a new, three-parameter corresponding-states principle that remains applicable in the regions of the phase diagram where quantum effects become significant.
View Article and Find Full Text PDFThe Topographic Map of the Midfoot: Implication for Improving Safety of Dorsal Approach of Midfoot Surgeries.
J Am Acad Orthop Surg Glob Res Rev
January 2025
From the Department of Anatomy, School of Medicine, Marmara University, Basibuyuk Yolu, Maltepe, Istanbul, Turkey (Dr. Ismailoglu, Dr. Sehirli, and Dr. Ayingen); the Department of Anatomy, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Atasehir, Istanbul, Turkey (Dr. Bayramoglu and Dr. Savasan); and the Department of Orthopedic Surgery, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Atasehir, Istanbul, Turkey (Dr. Kocaoglu).
Purpose: The surgical approach for midfoot injuries classically requires dual dorsal incision and identification of the neurovascular structures that are susceptible to injury during the surgery. The aim of this study was to map the topographic anatomy of the dorsum of the foot along with tarsal joints for the dorsal approach of midfoot surgery that would facilitate the surgery and minimize the risk of neurovascular injuries for surgeons who specially focus on foot and ankle injuries.
Methods: The dorsum of the foot was evaluated in 12 feet injected with latex containing a red colorant to visualize the arterial vessels.
Promoted read-through and mutation against pseudouridine-CMC by an evolved reverse transcriptase.
Commun Biol
January 2025
Department of Chemistry, Merkert Chemistry Center, Boston College, Chestnut Hill, MA, USA.
Pseudouridine (Ψ) is an abundant RNA chemical modification that plays critical biological functions. Current Ψ detection methods are limited in identifying Ψs at base-resolution in U-rich sequence contexts, where Ψ occurs frequently. Here we report "Mut-Ψ-seq" that utilizes the classic N-cyclohexyl N'-(2-morpholinoethyl)carbodiimide (CMC) agent and an evolved reverse transcriptase ("RT-1306") for Ψ mapping at base-resolution.
View Article and Find Full Text PDFLarge Variations in Phenylalanine Concentrations Associate Adverse Cardiac Remodelling in Adult Patients With Phenylketonuria-A Long-Term CMR Study.
J Cachexia Sarcopenia Muscle
February 2025
Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany.
Background: Despite a phenylalanine (Phe) restrictive diet, most adult patients with 'classical' phenylketonuria (PKU) maintain life-long Phe concentrations above the normal range and receive tyrosine (Tyr) and protein-enriched diets to maintain acceptable concentrations and ensure normal development. While these interventions are highly successful in preventing adverse neuropsychiatric complications, their long- term consequences are incompletely explored. We observed early cardiomyopathic characteristics and associated hemodynamic changes in adult PKU patients and present here the results of a longitudinal evaluation of cardiac phenotype.
View Article and Find Full Text PDFA lightweight generative model for interpretable subject-level prediction.
Med Image Anal
December 2024
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland; Department of Computer Science, Aalto University, Finland.
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at making accurate predictions, but are challenged in their ability to explain their decisions in anatomically meaningful terms. In this paper, we propose a simple technique for single-subject prediction that is inherently interpretable.
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