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Showing 1 to 4 of 4 for “"SBOM"”.

  1. Budget Analysis of Spring, Fall with Winter Clean-up, and High-Fertility Fall Lambing Systems in a Simulated Fixed Forage Resource

    … minus one standard deviation for prices of corn, SBOM, and market lambs, and price differentials for market lambs across lambing seasons. Comparisons of each lambing systems produced various results. In spring lambing, only 78 ewes could be maintained on the fixed forage resource, while the fall …

    vt Repository record for Budget Analysis of Spring, Fall with Winter Clean-up, and High-Fertility Fall Lambing Systems in a Simulated Fixed Forage Resource (opens in a new tab)

  2. A qualitative analysis of small business owner-managers' participation and learning in an online discussion forum : not quite paradise found

    Small business owner-managers (SBOMs) are a difficult group to engage in formal face-to-face training and learning activities. Research to encourage SBOMs' participation has focused on two main themes: first, trying to ascertain why they do not attend training and, second, determining their …

    edithcowan Repository record for A qualitative analysis of small business owner-managers' participation and learning in an online discussion forum : not quite paradise found (opens in a new tab)

  3. Machine code database for matching embedded libraries

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

    uiuc Repository record for Machine code database for matching embedded libraries (opens in a new tab)

  4. Deception and defense from machine learning to supply chains

    Broad classes of modern cyberattacks are dependent upon their ability to deceive human victims. Given the ubiquity of text across modern computational systems, we present and analyze a set of techniques that attack the encoding of text to produce deceptive inputs to critical systems. By targeting a …

    cambridge Repository record for Deception and defense from machine learning to supply chains (opens in a new tab)