Results 151 to 160 of about 70,913 (262)
Pectin, a versatile natural polymer, is extracted through conventional and emerging green extraction methods, offering multifunctional bioactive properties useful in food, pharmaceutical, and environmental applications. ABSTRACT Pectin, a molecular tapestry woven from diverse polysaccharides, holds a pivotal role across food, pharmaceutical, and ...
Afra Anika Rafique +3 more
wiley +1 more source
Smart crop recommendation: fusing nutrient and climate data with Krill Herd Optimization and explainable AI. [PDF]
Latha P, Kumaresan P.
europepmc +1 more source
This review surveys current progress in composite flexible electrodes for flexible supercapacitors, emphasizing how structural engineering and material synergy enhance both mechanical compliance and electrochemical performance. It discusses fabrication strategies, emerging application scenarios, and ongoing challenges, offering updated insights that ...
Weikang Wang +9 more
wiley +1 more source
Explainable AI-Based Intrusion Detection Systems for IoT Environments: A Systematic Literature Review. [PDF]
Varol M, Karakaya A.
europepmc +1 more source
The various citrus wastes, including the citrus fruit peels, pulp remaining after extraction of juice, and seeds, are the sources of bioactive compounds. The waste parts of oranges, lemons, limes, grapefruits, and mandarins contain the bioactive compounds, flavonoids, ascorbic acid, essential oils, and carotenoids.
Monika +4 more
wiley +1 more source
Targeted Lipidomics Reveals <i>Citrus aurantifolia</i> Peel Extract's Potential to Increase Lipid Catabolism With PC34:1 as a Discriminative Metabolite. [PDF]
Phucharoenrak P +2 more
europepmc +1 more source
Processing quality in fruit crops is governed by complex genetic networks controlling texture, sweetness, color, browning, aroma, and nutritional quality. Advances in genomics, genomic selection, and genome editing enable the development of processing‐oriented cultivars with improved industrial performance, reduced postharvest losses, and enhanced ...
M. Ranjani +2 more
wiley +1 more source
Machine Learning and Explainable AI for Breast Cancer Patient Prioritization: An Intelligent Decision-Support Framework. [PDF]
Silva-Aravena F +3 more
europepmc +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source

