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Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces
Advanced Healthcare Materials, EarlyView.Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno +17 more
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Clean label: Why this ingredient but not that one?
Food Quality and Preference, 2021Abstract Consumer demand for natural and clean label foods continues to grow. This study aims to measure consumers’ perceived naturalness of food ingredients and further to investigate factors affecting their acceptability. Yogurt was chosen as the focal food of interest.
Nadia A Streletskaya, Juyun Lim
exaly +2 more sources
Targeted Clean-Label Poisoning Attacks on Federated Learning
2023Federated Learning (FL) has become one of the most extensively utilized distributed training approaches since it allows users to access large datasets without really sharing them. Only the updated model parameters are exchanged with the central server after the model has been trained locally on the devices holding the data.
Ayushi Patel, Priyanka Singh 0001
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Functional ice cream with a "clean label"
2020High market competitiveness as well as in creased interest in health-related products forces producers to create new products and innovative production technologies that would encourage a potential customer to buy. The idea of "clean label" enjoys growing popularity due to the strong in terest in healthy, unprocessed products and simple ingredients ...
Motyl, Wojciech +4 more
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Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, 2020
One of the major problems of applying supervised machine learning methods in real-world problems is the absence of labeled data. Labeling huge amounts of data is time consuming and cost intensive. Moreover, in many cases, labels can only be assigned by domain experts like medical doctors or engineers, who have little time and do not necessarily have ...
David Beil, Andreas Theissler
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One of the major problems of applying supervised machine learning methods in real-world problems is the absence of labeled data. Labeling huge amounts of data is time consuming and cost intensive. Moreover, in many cases, labels can only be assigned by domain experts like medical doctors or engineers, who have little time and do not necessarily have ...
David Beil, Andreas Theissler
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“Clean label” – Starches and their functional diversity
Sugar Industry, 2016Modern starch milling technologies not only produce the common native starches from corn, wheat, potato and cassava but also can extend the range of commercially available starches by native starch specialities such as waxy and high amylose varieties of corn, potato, pea and rice starch.
Michael A. Radeloff, Roland H.F. Beck
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Frei von Zusatzstoffen – Clean Labelling
Ernährung & Medizin, 2018ZusammenfassungZusatzstoffe sind in aller Munde, sowohl in der eigentlichen Bedeutung des Wortes als auch im übertragenen Sinn – gibt es doch kaum einen Bestandteil von Lebensmitteln, der kontroverser diskutiert wird. Laut dem Eurobarometer Spezial 354 „Lebensmittelrisiken“ sehen durchschnittlich 9 % der europäischen
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A Comparison of Revision Schemes for Cleaning Labeling Noise
2011Data quality is an important factor in building effective classifiers. One way to improve data quality is by cleaning labeling noise. Label cleaning can be divided into two stages. The first stage identifies samples with suspicious labels. The second stage processes the suspicious samples using some revision scheme.
Chuck P. Lam, David G. Stork
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Cleaning It Up—What Is a Clean Label Ingredient?
Cereal Foods World, 2015In this column, Busken looks at the process by which ingredients are made and uses this as a basis for determining whether they are “clean label” or not. One of the challenges in making this determination is presented by the degree to which even the simpler processes are performed and how they are dealt with in labeling laws.
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Natural and clean label ingredients for microencapsulation
2023Matthew Sillick, Christopher M. Gregson
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