Results 231 to 240 of about 202,649 (296)

Evaluation of confirmatory data following the Article 12 MRL review for ametoctradin. [PDF]

EFSA J
European Food Safety Authority (EFSA), Bellisai G, Bernasconi G, Carrasco Cabrera L, Castellan I, Del Aguila M, Ferreira L, Greco L, Leuschner R, Mioč A, Nave S, Reich H, Ruocco S, Scarlato AP, Szot M, Theobald A, Tiramani M, Verani A, Zioga E.   +18 more
europepmc   +1 more source

The examination of Türkiye's Curriculum Reform in terms of Key competencies of the European Commission

Zeki Arsal
openalex   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

Challenges and opportunities in the regulatory landscape of genetically modified crops in the European Union. [PDF]

Front Bioeng Biotechnol
Garcia-Alonso M, Alcalde E, Criel I, Novillo C, Kostolaniova P, Podevin N.   +5 more
europepmc   +1 more source

Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

Advanced Functional Materials, EarlyView.
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen, Francesco Chiabrera, Alexander Stangl, Laetitia Rapenne, Federico Baiutti, Carmen Jiménez, Albert Tarancón, Mónica Burriel   +7 more
wiley   +1 more source

Assessment of the feed additive consisting of L-cysteine hydrochloride monohydrate (2b920) for cats and dogs for the renewal of its authorisation (PRINOVA BENELUX AND FRANCE N.V). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Dusemund B, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Röhe I, Theodoridou K, Anguita Freixa M, Innocenti ML, Pizzo F, Tarrés-Call J.   +20 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Flavouring Group Evaluation 87, Revision 3 (FGE.87Rev3): Consideration of bicyclic secondary alcohols, ketones and related esters evaluated by JECFA (63rd meeting) structurally related to bicyclic secondary alcohols, ketones and related esters evaluated in FGE.47Rev1. [PDF]

EFSA J
EFSA Panel on Food Additives and Flavourings (FAF), Castle L, Andreassen M, Aquilina G, Bastos M, Boon P, Fallico B, FitzGerald R, Frutos Fernández MJ, Grasl-Kraupp B, Gundert-Remy U, Gürtler R, Houdeau E, Kurek M, Louro H, Morales P, Passamonti S, Benigni R, Degen G, Engel KH, Carfí M, Martino C.   +21 more
europepmc   +1 more source