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    Comparing Information Theory Analysis With Cross‐Correlation and Minimum Variance Analysis of the Solar Wind Structures by K. M. Holland, H. K. Nykyri, X. Ma, S. Wing

    Published 2024-07-01
    “…In this paper, we use 2 years of data in the solar wind from lunar orbiting ARTEMIS and MMS spacecraft upstream of the Earth's bow shock to study the structure of the IMF. We determine the lag times of IMF structures and their dependence on spacecraft positions by conducting an information theory analysis and comparing it with two traditional analysis methods: cross‐correlation (CC) analysis and minimum variance of magnetic field analysis (MVAB). …”
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    Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

    Published 2024-10-01
    “…Experimental results indicate that the proposed Noise2Variance method exhibits commendable performance on peak signal noise ratio and structural similarity metrics compared to existing self‐supervised denoising techniques. …”
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    Spatiotemporal Variance Image Reconstruction for Thermographic Inspections by Logan M. Wilcox, Emily M. Johnson, Emma T. Bohannon, Catherine E. Johnson, Kristen M. Donnell

    Published 2024-01-01
    “…To this end, this work proposes a novel image reconstruction technique for nonuniform excitation/heating and is referred to as spatiotemporal variance reconstruction (STVR). STVR utilizes the spatial and temporal variance of the surface thermal profile. …”
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    Organisational Practice in the job centre - Variance or Homogeneity? by Navina Roman

    Published 2015-04-01
    “…Accordingly, the job centre suffers not from too much variance but from a standardisation of organisational practice which leads to a lived practice of"rule of the bureaucracy" in the Weberian tradition. …”
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    Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

    Published 2025-03-01
    “…The main feature of the algorithm including an inner and outer double loop structure is designed: the outer loop structure uses mini-batch random samples to calculate the gradient, approximating the full gradient and reducing the gradient calculation cost; the inner loop structure also uses mini-batch random samples to calculate the gradient and replace the single sample random gradient, improving convergence stability of the algorithm. …”
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    Stochastic SIRS models on networks: mean and variance of infection by Tingting Chen, Guirong Liu, Zhen Jin

    Published 2025-09-01
    “…Due to the heterogeneity of contact structure, it is more reasonable to model on networks for epidemics. …”
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    How to improve forest biodiversity management by comparing broad-scale stands' structural spatial heterogeneity between two forests by Elias Milios, Kyriachi Kitikidou

    Published 2025-06-01
    “…By comparing the variances of the Gini-Simpson index values calculated from diameter at breast height (DBH) or tree height distributions in randomly sampled plots, structural differences can be effectively quantified. …”
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    ULNAR VARIANCE AND ITS RELATED FACTORS IN GYMNASTS: A REVIEW by Luísa Amaral, Albrecht Claessens, José Ferreirinha, Paulo Santos

    Published 2011-10-01
    “… Ulnar variance is the relative length of ulna in relation to the radius. …”
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    makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R by Ingeborg Hem, Geir-Arne Fuglstad, Andrea Riebler

    Published 2024-08-01
    “…A joint prior distribution is constructed based on a hierarchical decomposition of the total variance in the model along a tree, and takes the entire model structure into account. …”
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