We have proposed a mathematical model (WAM model) expressing increment of the dose-rate dependent mutation frequency caused by artificial radiations. In this model, it is defined that the pool of mutant cells in dynamic equilibrium in organisms. We verified the accuracy of the WAM prediction of mutation frequency in mice. The theoretical values calculated by the WAM model were compared with the experimental values obtained from the large mouse genetics program at the Oak Ridge National Laboratory (ORNL). Most of all the theoretical values in acute and chronic irradiation conditions nearly coincided with the experimental values. However, the theoretical value of the chronic conditions at the dose-rate of 0.8 R/min was significantly higher than its experimental value. This discordance was able to be minimized in the WAM assumption, when the period from the end of exposure to start mating was two weeks longer. As a result of comparison between experimental and theoretical data, the certainty of the WAM model was confirmed in mice and it was shown that the genetic influence varies depending on the dose-rate.
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http://dx.doi.org/10.1080/09553002.2019.1569772 | DOI Listing |
Nat Chem
January 2025
Institute of Bioengineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Protein catalysis and allostery require the atomic-level orchestration and motion of residues and ligand, solvent and protein effector molecules. However, the ability to design protein activity through precise protein-solvent cooperative interactions has not yet been demonstrated. Here we report the design of 14 membrane receptors that catalyse G protein nucleotide exchange through diverse engineered allosteric pathways mediated by cooperative networks of intraprotein, protein-ligand and -solvent molecule interactions.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical and Electronic Engineering, University of West Attica, Ancient Olive Grove Campus, 250, Thivon Ave., Egaleo, 12241 Athens, Greece.
The aim of this study is to introduce and evaluate a dual filter that combines Radial Basis Function neural networks and Kalman filters to enhance the accuracy of numerical wave prediction models. Unlike the existing methods, which focus solely on systematic errors, the proposed framework concurrently targets both systematic and non-systematic parts of forecast errors, significantly reducing the bias and variability in significant wave height predictions. The produced filter is self-adaptive, identifying optimal Radial Basis Function network configurations through an automated process involving various network parameters tuning.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Biomaterials
December 2024
Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310009, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, Hangzhou, 310009, China. Electronic address:
Tissue adhesives have attracted significant interest in the field of hemostasis. However, challenges including weak tissue adhesion, inadequate biocompatibility, and instability limit their clinical applications. Here, we have developed a gelatin-DOPA-knob/fibrinogen hydrogel inspired by the fibrin polymerization and mussel adhesion, resulting in a biocompatible bioadhesive with outstanding adhesion performance and great storage stability.
View Article and Find Full Text PDFJ Vasc Surg
November 2024
Division of Vascular Surgery, University of North Carolina, Chapel Hill, NC. Electronic address:
Objective: To investigate which preoperative factors most impact the 5-year survival of patients undergoing fenestrated/branched endovascular aortic repair (F/BEVAR) and to identify modifiable elements that, if time allows, should be actively managed and adequately controlled preoperatively.
Methods: Patients treated for aortic aneurysms with complex anatomy using either patient-specific company-manufactured or off-the-shelf F/BEVAR devices were included. The exposure of interest was aneurysm type (group I: type I-III thoracoabdominal aneurysms vs group II: type IV thoracoabdominal aneurysms vs group III: juxtarenal or suprarenal aneurysms), and the primary outcome was 5-year risk of all-cause mortality.
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