Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Are Consumers Indeed Misled? Congruency in Consumers' Attitudes towards Wine Labeling Information versus Revealed Preferences from a Choice Experiment [PDF]
Please Contact Authors for Updated Version before Citingdiscrete choice experiment vs. attitude measurement, food labeling, willingness to pay, consumers, wine, Agricultural and Food Policy, Consumer/Household Economics, Demand and Price Analysis, Food ...
Mueller, Simone C., Umberger, Wendy J.
core +1 more source
Calculation of the environmental labeling of food products based on the packaging information
, 2022 Justine Catel +2 more
openalex +1 more source
Factors that Influence Acceptance of GM Labels on Halal Food Among Muslim Consumers
, 2020 Nurul Razanah Md Rapi +2 more
openalex +2 more sources
Advanced Functional Materials, EarlyView.A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
Beef Labeling After BSE: Do Consumers Care about BSE Testing and GMO Labeling? Evidence from Canada and the US [PDF]
Following the May 2003 Canadian BSE case, food safety issues have become even more prominent to policymakers and consumers. In both Canada and the US, governments and industry have responded with a variety of quality assurance, traceability and labeling ...
Steiner, Bodo E., Yang, Jun
core +1 more source
Advanced Functional Materials, EarlyView.Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Market Differentiation Potential of Country-of-origin, Quality and Traceability Labeling [PDF]
Product labeling has gained considerable attention recently, as a means to both provide product-specific information and reduce quality uncertainty faced by consumers, as well as from a regulatory point of view.
Roosen, Jutta, Verbeke, Wim
core +1 more source
Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models
Advanced Functional Materials, EarlyView.Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen +30 more
wiley +1 more source
Food Labels: Implications for U.S. Agricultural Imports [PDF]
Labels have been used to make food attributes transparent and to satisfy the increasing consumer demand for information about food credence values. Several types of prevalent U.S.
Henneberry, Shida Rastegari +1 more
core +1 more source