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A food safety targeted sampling decision-making method based on association rule mining and GNNs
Published 2025-07-01“…Abstract To solve the problem of subjectivity and low targeting of task-assigned food safety sampling, in this study, a targeted sampling decision-making method for food safety was proposed. …”
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The role of sampling in an explanatory sequential mixed methods study: General applications of the transformative paradigm
Published 2025-06-01“…The purpose of this article is to illustrate how considerations from the transformative paradigm were integrated broadly in the sampling decisions in an explanatory sequential mixed methods study. …”
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Machine learning combined with GC-FID for discrimination of different categories of maotai-flavor baijiu
Published 2025-05-01“…This study employed GC-FID and machine learning to analyze 410 base Baijiu samples. Decision Tree (74.36 %), XGBoost (92.9 %), and Random Forest (62.3 %) emerged as optimal classifiers for fermentation rounds, typical styles, and Chuntian grades, respectively. …”
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Factors associated with overreporting based on community verification results in a performance-based financing program in Zimbabwe
Published 2025-05-01“…Risk-based sampling can reduce the cost of community verifications by targeting areas with the highest risk of overreporting but there is little research on the factors associated with risk to guide sampling decisions. Objective This study explores facility-level and district-level factors associated with overreporting within a PBF setting. …”
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Transdiagnostic Anxiety-Related Increases in Information Sampling are Associated With Altered Valuation
Published 2024-11-01“…Only relative subjective cost of sampling decisions, and not inferential differences in weighting of new or old information, satisfactorily accounted for this relation. …”
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