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Global trends in e-labeling: a comprehensive geographical perspective [PDF]

open access: yesFrontiers in Medicine
IntroductionThis study presents a comprehensive analysis of e-labeling adoption for medicinal products worldwide. Electronic Product Information (ePI) makes available the most up to date approved medicinal product information on an electronic platform ...
Agnès Dangy-Caye   +6 more
doaj   +2 more sources

A general highly efficient synthesis of biocompatible rhodamine dyes and probes for live-cell multicolor nanoscopy

open access: yesNature Communications, 2023
Rhodamines are privileged fluorescent dyes for labelling intracellular structures in living cells. Here, the authors present a facile protecting-group-free synthesis permitting generation of a wide range of symmetrical and unsymmetrical 4 ...
Jonas Bucevičius   +6 more
doaj   +1 more source

Super edge-magic labeling for 𝒌-uniform, complete 𝒌-uniform and complete 𝒌-uniform 𝒌-partite hypergraphs [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2021
Let 𝐻 be a hypergraph with a vertex set 𝑉 and a hyperedge set 𝐸. Generalized from the super edge-magic in a graph, we say that a hypergraph 𝐻 is super edge-magic if there is a bijection 𝑓: 𝑉 ∪ 𝐸 → {1,2,3, … , |𝑉| + |𝐸|} which satisfies: (i) there exists
Ratinan Boonklurb   +2 more
doaj   +1 more source

Comparison of [18F]FIMP, [11C]MET, and [18F]FDG PET for early-phase assessment of radiotherapy response

open access: yesScientific Reports, 2023
Several limitations of [18F]FDG have been reported, such as nonspecific uptake of inflammation foci. Moreover, [11C]MET has been found to accumulate in normal and inflammatory tissues as well as tumors.
Satoshi Nozaki   +8 more
doaj   +1 more source

In vitro evaluation of (S)-2-amino-3-[3-(2-18F-fluoroethoxy)-4-iodophenyl]-2-methylpropanoic acid (18F-FIMP) as a positron emission tomography probe for imaging amino acid transporters

open access: yesEJNMMI Research, 2023
Background (S)-2-amino-3-[3-(2-18F-fluoroethoxy)-4-iodophenyl]-2-methylpropanoic acid (18F-FIMP) as a promising PET probe for imaging the tumor-specific L-type amino acid transporter (LAT) 1.
Satoshi Nozaki   +5 more
doaj   +1 more source

A Review of Discrimination and Labeling of Refugees Using the Example of Syrian and Ukrainian Refugees

open access: yesSosyal Siyaset Konferansları Dergisi, 2023
In the forced migration context, the term"refugee" is mostly related to negative issues because of the prior refugee crisis experiences and the frighteningly increasing numbers of displaced people around the world.
Buket Ökten Sipahioğlu
doaj   +1 more source

Dose dependent toxicity of glutamic acid: a review

open access: yesInternational Journal of Food Properties, 2020
L-glutamate, the major neurotransmitter in humans, becomes excitotoxic when present outside of protein in excess of what the healthy human was designed to accommodate; amounts readily available to consumers who ingest multiple free-glutamate-containing ...
Adrienne Samuels
doaj   +1 more source

Evaluation of public submissions to the USDA for labeling of cell-cultured meat in the United States

open access: yesFrontiers in Nutrition, 2023
With the rapid advancement of cell-cultured meat processing technologies and regulations, commercialization of cell-cultured meat to market shelves requires the implementation of labeling that informs and protects consumers while ensuring economic ...
Morgan Failla   +2 more
doaj   +1 more source

Challenges in Gluten Analysis: A Comparison of Four Commercial Sandwich ELISA Kits

open access: yesFoods, 2022
Gluten is composed of prolamin and glutelin proteins from several related grains. Because these proteins are not present in identical ratios in the various grains and because they have some differences in sequence, the ability to accurately quantify the ...
Plaimein Amnuaycheewa   +4 more
doaj   +1 more source

Expand and Shrink: Federated Learning with Unlabeled Data Using Clustering

open access: yesSensors, 2023
The amalgamation of the Internet of Things (IoT) and federated learning (FL) is leading the next generation of data usage due to the possibility of deep learning with data privacy preservation.
Ajit Kumar   +3 more
doaj   +1 more source

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