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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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    other:

    Article Title: Majorana quasiparticles and topological phases in 3D active nematics.
    Article Snippet: G.N. acknowledges CINECA for high-performance computing resources and support (class B, HP10B98A3C project), the national INFN FieldTurb initiative, and support by ICSC—Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, funded by European Union—NextGenerationEU (Flagship use case Complex Fluids).

    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: Targeting the phosphatidylglycerol lipid: An amphiphilic dendrimer as a promising antibacterial candidate
    Article Snippet: ; and the French National Research Agency under the frame of the Era-Net EURONANOMED European Research projects “TABRAINFEC” and “antineuropatho” to L.P. S.P. and D.M. acknowledge financial support from ICSC–Centro Nazionale di Ricerca in High-Performance Computing, Big Data, and Quantum Computing (Spoke 7), WP4 (pilot applications), T2.8 [development and optimization of HPC-based integrated workflows based on flagship codes for personalized (nano)medicine], and CINECA, funded by European Union–NextGenerationEU.

    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


    In vitro effects of calcium solutions on QLF-area and MV changes. A SEM images of tooth occlusal lesions before and after calcium solution treatment (Red box and blue arrow indicate the area where the 130× magnification pictures are shown; Red arrows indicate the lesion with the demineralization). B Micro-CT images of teeth in four solution groups, while the threshold-segmented enamel mineralized volumes (MVs) were analyzed and compared quantitatively before and after rinsing (Red arrows indicate the demineralization lesion; AS + Calcium: the group of combination of artificial saliva and calcium solution). C QLF images of teeth in four groups, with quantitative analysis of QLF-areas (Red fluorescence indicates plaque-associated fluorescence detected by QLF). (Box plots indicate the median, interquartile range, whiskers (minimum to maximum), and individual data points; n = 5 per group; Wilcoxon matched-pairs signed-rank test in B and C ). D Correlation between ΔQLF-areas and ΔMVs across groups (Spearman’s rank correlation. n = 5 per group; AS + Calcium: the group of combination of artificial saliva and calcium solution). E Correlation between ΔQLF-area and ΔMV across all in vitro treatment groups. The association was assessed using Spearman’s rank correlation. Individual data points are shown; n = 20 total. Spearman’s ρ = −0.7710, p < 0.0001. The fitted lines in D and E are shown only to visualize the direction of the association

    Journal: BMC Oral Health

    Article Title: Effects of calcium-containing solutions on fluorescence-detectable plaque area and enamel mineral volume: an in vitro and exploratory clinical study

    doi: 10.1186/s12903-026-09789-z

    Figure Lengend Snippet: In vitro effects of calcium solutions on QLF-area and MV changes. A SEM images of tooth occlusal lesions before and after calcium solution treatment (Red box and blue arrow indicate the area where the 130× magnification pictures are shown; Red arrows indicate the lesion with the demineralization). B Micro-CT images of teeth in four solution groups, while the threshold-segmented enamel mineralized volumes (MVs) were analyzed and compared quantitatively before and after rinsing (Red arrows indicate the demineralization lesion; AS + Calcium: the group of combination of artificial saliva and calcium solution). C QLF images of teeth in four groups, with quantitative analysis of QLF-areas (Red fluorescence indicates plaque-associated fluorescence detected by QLF). (Box plots indicate the median, interquartile range, whiskers (minimum to maximum), and individual data points; n = 5 per group; Wilcoxon matched-pairs signed-rank test in B and C ). D Correlation between ΔQLF-areas and ΔMVs across groups (Spearman’s rank correlation. n = 5 per group; AS + Calcium: the group of combination of artificial saliva and calcium solution). E Correlation between ΔQLF-area and ΔMV across all in vitro treatment groups. The association was assessed using Spearman’s rank correlation. Individual data points are shown; n = 20 total. Spearman’s ρ = −0.7710, p < 0.0001. The fitted lines in D and E are shown only to visualize the direction of the association

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    Techniques: In Vitro, Micro-CT, Analysis, Fluorescence

    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