A Synthetic Diagnostics Platform (SDP) for fusion plasmas has been developed which provides state of the art synthetic reflectometry, beam emission spectroscopy, and Electron Cyclotron Emission (ECE) diagnostics. Interfaces to the plasma simulation codes GTC, XGC-1, GTS, and M3D-C are provided, enabling detailed validation of these codes. In this paper, we give an overview of SDP's capabilities, and introduce the synthetic diagnostic modules. A recently developed synthetic ECE Imaging module which self-consistently includes refraction, diffraction, emission, and absorption effects is discussed in detail. Its capabilities are demonstrated on two model plasmas. The importance of synthetic diagnostics in validation is shown by applying the SDP to M3D-C output and comparing it with measurements from an edge harmonic oscillation mode on DIII-D.
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http://dx.doi.org/10.1063/1.4961553 | DOI Listing |
Arch Microbiol
January 2025
Department of Chemistryand Environmental Sciences, Institute of Biosciences, Humanities and Exact Sciences, São Paulo State University Júlio de Mesquita Filho, São José do Rio Preto, SP, Brazil.
Candida is a commensal fungus of clinical interest that commonly lives in oral cavity and intestine but can become an opportunist microrganism and cause severe infections. A serie of 10 aminochalcones were designed and synthetized to obtain compounds anti-Candida with potent and broad-spectrum activity. The most active compound J34 demonstrated excellent in vitro activity against Candida albicans, Candida tropicalis, Candida parapsilosis, Candida glabrata and Candida krusei with minimum inhibitory concentration between 1.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Mathematics, Physics and Computing, Centre for Health Research, University of Southern Queensland, Toowoomba, QLD, Australia.
A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, and Ensemble learning GBM-RF-XG Boost are applied and evaluated on the Demographic and Health Surveys Program (DHSP), with thirteen features ultimately selected as the most predictive features. Classification and generalization experiments are conducted to test the accuracy, F1-score, precision, and area under the curve (AUC) performance of these four algorithms.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine/PET center, Huashan Hospital, Fudan University, Shanghai, 200235, China.
Purpose: Dopamine transporter [C]CFT PET is highly effective for diagnosing Parkinson's Disease (PD), whereas it is not widely available in most hospitals. To develop a deep learning framework to synthesize [C]CFT PET images from real [F]FDG PET images and leverage their cross-modal correlation to distinguish PD from normal control (NC).
Methods: We developed a deep learning framework to synthesize [C]CFT PET images from real [F]FDG PET images, and leveraged their cross-modal correlation to distinguish PD from NC.
Mikrochim Acta
January 2025
Key Laboratory of Synthetic and Natural Functional Molecule, College of Chemistry and Materials Science, Northwest University, Xi'an, 710127, People's Republic of China.
A biosensor based on solid-state nanochannels of anodic aluminum oxide (AAO) membrane for both electrochemical and naked-eye detection of microRNA-31 (MiR-31) is proposed. For this purpose, MoS nanosheets, which possess different adsorption capabilities to single-stranded and double-stranded nucleic acids, are deposited onto the top surface of the AAO membrane. Moreover, multi-functional DNA nanostructure have been designed by linking a G-rich sequence for folding to a G-quadruplex at three vertices and a complementary sequence of MiR-31 at the other one vertex of a DNA tetrahedron.
View Article and Find Full Text PDFJ Biol Chem
January 2025
Division of Experimental Animal, Hidaka Branch, Biomedical Research Center, Saitama Medical University, Saitama, Japan; Research Center for Genomic Medicine, Saitama Medical University, Saitama, Japan. Electronic address:
Recent success with the use of glucagon-like peptide-1 (GLP-1) receptor analogs and dipeptidyl peptidase-4 (DPP-4) inhibitors for the treatment of patients with diabetes has highlighted the role of the intestine as an endocrine organ. Gut-derived hormones, including GLP-1, glucose-dependent insulinotropic polypeptide (GIP), and ghrelin, have important roles in the control of energy metabolism and food intake, and are associated with the metabolic syndrome. In this study, we isolated and identified a new intestine-derived hormone, betagenin, and showed that it stimulates insulin secretion and β-cell proliferation and suppresses β-cell apoptosis.
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