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Creators/Authors contains: "Brenner, Paul"

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  1. ; ; ; (, ACM)
    Full Text Available 
  2. ; ; ; ; ; ; ; ; ; ; et al (, PLOS Computational Biology)
    Schwartz, Russell (Ed.)
    Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models. This paper suggests 10 simple rules for you to both (i) ensure you share models in a way that is at least “good enough,” and (ii) enable others to lead the change towards better model-sharing practices. 
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    Free, publicly-accessible full text available January 10, 2026
  3. ; ; ; (, IEEE)
    Measuring trust in different Blockchain application contexts is challenging. There is a gap between building an accountable system with Blockchain and measuring the actual trust enhancement. This paper reviews trust factors in different Blockchain application contexts. We propose a trust assessment model for accountable trust factor collection while accounting for both quantitative and qualitative aspects of trust assessment. Our goal is to help users determine the trustworthiness of an entity by analyzing trust factors collected from intermediaries during business transactions. We use security and incentive assumptions to enhance the reliability of trust assessment data on Blockchain. 
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  4. ; ; ; ; ; ; ; ; (, Journal of Physics: Conference Series)
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  5. ; ; ; ; ; ; ; ; ; ; et al (, Journal of Physics: Conference Series)
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