ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
Lung microbiome features associated with ICU delirium in mechanically ventilated patients: a secondary cohort analysis. [PDF]
Xiao S, Lin F, Li Y, Zhuang Q.
europepmc +1 more source
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto +18 more
wiley +1 more source
Re-examining Lopes's computationalist interpretation of Husserlian phenomenology: a critical perspective. [PDF]
Wu C.
europepmc +1 more source
Learning regime‐dependent governing equations: A symbolic decision tree approach
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
Correction: Assessment of financial protection mechanisms for tuberculosis services in seven priority countries of the Western Pacific Region: a cross-sectional mixed-methods study. [PDF]
Oh KH +8 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Knowledge Acquisition, Self-Assessed Competence, and Simulator-Based Performance in a Structured Laparoscopic VR Curriculum for Obstetrics and Gynecology Residents: A Single-Center Observational Study. [PDF]
Sierant A, Bijok J, Pirozynski M.
europepmc +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Development and Initial Psychometric Validation of the Multidimensional Menopausal Burden Questionnaire (MMBQ-44) in a Sample of Romanian Women. [PDF]
Dragomir AC +9 more
europepmc +1 more source

