Publications by authors named "J S Wills"
The tumorigenic dose 50 (TD) is a widely used measure of carcinogenic potency which has historically been used to determine acceptable intake limits for carcinogenic compounds. Although broadly used, the TD model was not designed to account for important biological factors such as DNA repair and cell compensatory mechanisms, changes in absorption, etc., leading to the development of benchmark dose (BMD) approaches, which use more flexible dose-response models that are better able to account for these processes.
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- - Communities of Practice (CoPs) show promise in enhancing community-centered health promotion, specifically in addressing gambling harms among voluntary, community, faith, and social enterprises (VCFSE) in a city-region in England.
- - The evaluation included 33 qualitative interviews and focused on building a mid-level program theory, revealing that the CoP helped foster community interventions through staff understanding and collaboration, despite inconsistencies in project-level outcomes.
- - Ultimately, CoPs proved effective alongside VCFSE projects and individuals with lived experience, contributing to a knowledge base that supports the government's strategy for reducing gambling-related issues.
The in vitro Bacterial Reverse Mutation (Ames) Test is crucial for evaluating the mutagenicity of pharmaceutical impurities. For N-nitrosamines (NAs) historical data indicated that for certain members of this chemical class the outcomes of the Ames Test did not correlate with their associated rodent carcinogenicity outcomes. This has resulted in negative outcomes in an OECD aligned Ames Test alone (standard or enhanced) no longer being considered sufficient by regulatory authorities to assess potential carcinogenic risk of NAs if present as impurities in drug products.
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- * They developed a machine learning model capable of predicting MSKI risk based on a single jump test and assessed the influence of sex on lower-limb injury risk.
- * The collaboration highlights the importance of having well-rounded teams with independent funding to tackle complex problems and evaluate wearable technology for military training adaptations.
Gate set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires extensive data collection and significant computational resources for model estimation. We propose a more efficient GST approach for qudits, utilizing the qudit Hadamard and virtual Z gates to construct fiducials while assuming virtual Z gates are error-free.
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