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We present a material frame formulation analogous to the spatial frame formulation developed by Hardy, whereby expressions for continuum mechanical variables such as stress and heat flux are derived from atomic-scale quantities intrinsic to molecular simulation.
The use of a tangent frame formulation for each link relative to its revolute joint is the key for the formulation of the flexible link boundary conditions and is more realistic than the use of arbitrary beam functions by other authors.
Furthermore, based on PCs experience and the hazard classification, cosmetic product ingredients are identified for which an exact concentration should be notified besides the standard frame formulation.
Cosmetic products not fitting in a frame formulation and for specified products of high concern (like nail polish removers), the complete qualitative and quantitative formulation needs to be provided.
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The formulas are basic recipes for standard products and correspond to lists of ingredients of products in German retail shops and cosmetic frame formulations [8].
The list of ingredients on the containers together with the frame formulations [8] and the Classification and Labelling Inventory [9] (C&L Inventory) might allow to derive rough classifications of the products for someone who makes the effort already now.
The working group on frame formulations updates the existing system of frame formulations developed by Colipa in collaboration with the EAPCCT in 2000.
The frame formulations are standardised formulations listing the type of ingredients and their maximum concentration in the cosmetic products.
The EAPCCT and Colipa (the European Cosmetics Association) together with other stakeholders, cooperate with the CPNP development team of the EC in several working groups discussing aspects in the development of frame formulations, categorisation of cosmetic products and IT-related issues.
A frame-invariant formulation of the mixture stresses is presented in a general form and used in this approach; specific forms of the constitutive model for the stress are considered.
We describe a frame-based formulation to SER that relies on minimal speech processing and end-to-end deep learning to model intra-utterance dynamics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com