The aim of the present work was to assess consumers' willingness to pay for reformulated frankfurters in the context of the implementation of nutritional warnings. Images of frankfurter packages were designed using a fractional factorial design with 5 2-level variables: brand type, sodium reduction, saturated fat reduction, fibre claim and cholesterol claim. An online study with 548 consumers was implemented with Chilean participants, who were asked to indicate how much they would be willing to pay for each of the packages. Data were analysed using analysis of variance and hierarchical cluster analysis. Willingness to pay was significantly affected by brand type and sodium and fat reduction, whereas fibre and cholesterol claim did not have a significant effect. These results suggest that in the context of the implementation of nutritional warnings reformulation of processed meat products should focus on the reduction of key nutrients, although consumers may not be willing to pay a higher price for reformulated products.
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http://dx.doi.org/10.1016/j.meatsci.2019.02.007 | DOI Listing |
Mol Biol Rep
January 2025
Pediatric Cell, and Gene Therapy Research Center Gene, Cell and Tissue Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Bone serves as a fundamental structural component in the body, playing pivotal roles in support, protection, mineral supply, and hormonal regulation. However, critical-sized bone injuries have become increasingly prevalent, necessitating extensive medical interventions due to limitations in the body's capacity for self-repair. Traditional approaches, such as autografts, allografts, and xenografts, have yielded unsatisfactory results.
View Article and Find Full Text PDFJ Nutr Educ Behav
January 2025
Department of Community Development and Applied Economics, The University of Vermont, Burlington, VT. Electronic address:
This article examines the recent implementation of Universal School Meals (USM) programs in several US states in the context of the increasing influence of neoliberalism in the public schooling system. By subverting a neoliberal paradigm, USM programs disrupt prevailing narratives of poverty and work to reclaim education's central place in the public sphere. A systems-thinking analysis of this issue reveals USM programs to be a powerful leverage point for change.
View Article and Find Full Text PDFBMJ Evid Based Med
December 2024
Department of Public Health, History of Science, and Gynecology, Miguel Hernandez University of Elche Faculty of Medicine, Sant Joan D'Alacant, Comunidad Valenciana, Spain
Objective: The objective of this study is to analyse the perspectives of screening candidates and healthcare professionals on shared decision-making (SDM) in prostate cancer (PCa) screening using the prostate-specific antigen (PSA) test.
Design: Descriptive qualitative study (May-December 2022): six face-to-face focus groups and four semistructured interviews were conducted, transcribed verbatim and thematically analysed using ATLAS.ti software.
Clin Chem
January 2025
Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Background: Multianalyte machine learning (ML) models can potentially identify previously undetectable wrong blood in tube (WBIT) errors, improving upon current single-analyte delta check methodology. However, WBIT detection model performance has not been assessed in a real-world, low-prevalence context. To estimate real-world positive predictive values, we propose a methodology to assess WBIT detection models by evaluating the impact of missing data and by using a "low prevalence" validation data set.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Phillip M. Drayer Electrical Engineering Department, Lamar University, Beaumont, TX 77705, USA.
Automated ultrasonic testing (AUT) is a critical tool for infrastructure evaluation in industries such as oil and gas, and, while skilled operators manually analyze complex AUT data, artificial intelligence (AI)-based methods show promise for automating interpretation. However, improving the reliability and effectiveness of these methods remains a significant challenge. This study employs the Segment Anything Model (SAM), a vision foundation model, to design an AI-assisted tool for weld defect detection in real-world ultrasonic B-scan images.
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