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quantum computing  (Olon Ricerca Bioscience)

 
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    Olon Ricerca Bioscience quantum computing
    Quantum Computing, supplied by Olon Ricerca Bioscience, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quantum+computing/computing+quantum/arxiv__2603__16512-245-19-33
    Average 86 stars, based on 1 article reviews
    quantum computing - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    other:

    Article Title: Thermoresponsive Copolymer Microgels Synthesized via Single-Step Precipitation Polymerization: Random or Block Structure?
    Article Snippet: LT and EZ also acknowledge financial support from ICSC-CentroNazionale di Ricerca in High-Performance Computing, Big Data and Quantum Computing-(Grant No. CN00000013, PNRR Investimento M4.C2.1.4).

    Article Title: Dark state role in time-reversal symmetry breaking
    Article Snippet: G.F. acknowledges support from the project ICSC – Centro Nazionale di Ricerca in High- Performance Computing, Big Data and Quantum Computing, from PRIN 2022 “SuperNISQ” and from the University of Catania, Piano Incentivi Ricerca di Ateneo 2024-26, project TCMQI.

    Article Title: 34th Annual Computational Neuroscience Meeting: CNS*2025.
    Article Snippet: I'll present two stories.. One is about our work on how perturbation responses derive from circuitry and how circuitry can be derived from perturbation responses.. This will focus on responses in E/I networks to optogenetic stimulation of small numbers of cells.

    Article Title: Numerical cubature on scattered data by adaptive interpolation
    Article Snippet: The first and second authors have been partially supported by the Spoke 1 ‘‘FutureHPC & BigData’’ of ICSC – Centro Nazionale i Ricerca in High-Performance Computing, Big Data and Quantum Computing, funded by European Union - NextGenerationEU. eferences [1] R. Cools, Constructing cubature formulae: the science behind the art, Acta Numer.



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    Image Search Results


    The attenuation of diabetes-induced osteoporosis through ANGPTL8 knockout. ( A ) Schematic representation of the diabetic osteoporosis model construction. ( B ) FBG levels in mice at the onset (0 weeks) and conclusion (20 weeks) of the experiment. ( C ) Body weight measurements of mice at the onset (0 weeks) and conclusion (20 weeks) of the experiment. ( D ) ELISA analysis for quantifying ANGPTL8 levels in mouse plasma. ( E ) Micro-CT imaging of mouse femurs. ( F - J ) Analysis of Micro-CT data for bone mineral density (BMD), bone volume fraction (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th), and trabecular separation (Tb.Sp) in mouse femurs. Data are presented as mean ± SD; ( N = 5). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001

    Journal: Cellular and Molecular Life Sciences: CMLS

    Article Title: ANGPTL8 accelerates bone loss in diabetic mice by promoting osteoclastic differentiation and inhibiting osteoblastic differentiation through AMPK pathway-mediated metabolic reprogramming

    doi: 10.1007/s00018-025-06077-x

    Figure Lengend Snippet: The attenuation of diabetes-induced osteoporosis through ANGPTL8 knockout. ( A ) Schematic representation of the diabetic osteoporosis model construction. ( B ) FBG levels in mice at the onset (0 weeks) and conclusion (20 weeks) of the experiment. ( C ) Body weight measurements of mice at the onset (0 weeks) and conclusion (20 weeks) of the experiment. ( D ) ELISA analysis for quantifying ANGPTL8 levels in mouse plasma. ( E ) Micro-CT imaging of mouse femurs. ( F - J ) Analysis of Micro-CT data for bone mineral density (BMD), bone volume fraction (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th), and trabecular separation (Tb.Sp) in mouse femurs. Data are presented as mean ± SD; ( N = 5). ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001

    Article Snippet: The trabecular bone microarchitecture in the right femur of mice was assessed using Micro-computed tomography (Micro-CT) scanning (Quantum GX2; Perkin Elmer).

    Techniques: Knock-Out, Enzyme-linked Immunosorbent Assay, Clinical Proteomics, Micro-CT, Imaging

    Experimental phantom composition. (a) Phantoms’ background absorption and reduced scattering coefficients. (b) Set of phantom molds with capillary tubes at different depths. (c) Capillary tube depth confirmation using micro-computed tomography.

    Journal: Journal of Biomedical Optics

    Article Title: Evaluation of analytical models to estimate depth of fluorescence objects in biological media

    doi: 10.1117/1.JBO.31.2.026003

    Figure Lengend Snippet: Experimental phantom composition. (a) Phantoms’ background absorption and reduced scattering coefficients. (b) Set of phantom molds with capillary tubes at different depths. (c) Capillary tube depth confirmation using micro-computed tomography.

    Article Snippet: Once solidified, the phantoms immediately underwent fluorescence imaging followed by confirmation of fluorescent inclusion (i.e., capillary tube) depth by micro-computed tomography scanning ( 80 μ m resolution, Quantum GX3, Revvity, Waltham, Massachusetts, United States); shows an example of depth confirmation for a capillary tube of 7 mm nominal depth.

    Techniques: Micro-CT