When first titanium white pigment has been detected in a painting ? With which technique ?

I am working on a project of developing a high adhesion body paint and I am familiar with all the technical terms of paint. Lately, the film has not been adhering properly to the skin. I can not change the pigment so can anyone please recommend a change in any of the components to increase the adhesion.

There different types of resins are available for preparing the water based, I need to choose the prefect binder of  pigments and other essential components in the paint under extreme conditions like hot, cold and rainy seasons.

More and more museums present their collections of works of art in the form of reproductions published on the Internet. The development of Internet information technologies and the Internet of Things contributes to the popularization of art and culture in society.

Do you agree with me on the above matter?

Please reply

I invite you to the discussion

Thank you very much

Best wishes

To ask my questions, I need to set up a hypothetical experimental design.

Let's say that I am interested in participant evaluations of art made by two different people (famous artist A and unknown artist B)...each artist has painted 10 paintings in the same 10 different colors/styles (e.g. one blue sad painting, one red angry painting, one yellow happy painting, etc). Thus, I now have 10 pairs of incredibly similar paintings, half from each artist.

Under the assumption that participants can't tell which paintings came from which artist (pretested), I am now curious as to whether or not using the name of each artist as a label will influence participant evaluations of skill on a 1-7 Likert scale. Thus, half my participants see the true labels and half see false (totally reversed) labels.

Here are my questions:

What kind of multi-level model (if any) would be most appropriate in this setting? Nesting within individual? Nesting within pairing (e.g. red pair, blue pair, green pair)?

Please correct me if I am wrong as I am very new to multi-level analysis. So far, it seems like the answer is to try both types of nesting using a random intercept and randoms slope?

Optical color mixing, also called partitive mixing or additive-averaging mixing, is a color appearance phenomenon that occurs when small, distinct, juxtaposed color dots on a surface blend together optically, not physically, at a certain distance. Unlike additive color mixing and subtractive color mixing that are created on a screen or canvas, this type of color mixing takes place directly in the eye of the observer and that is why it is called optical color mixing. Technically speaking, it is created in the eye because of the inability of the cones in the retina to discriminate between individual color stimuli when they are too small or move too fast. Although it has been studied in fine scale and at close range (under 1 meter), it has not yet been investigated in architectural scale and at much further distances (of 10s of meters and more). This issue prompts me to explore how it is created. I am very interested to know at what distance or viewing angle small color components begin to blend in the viewer's eye or how big the color components are when they are optically mixed at an intended distance.

In the second half of the 19th century, a wonderful painting technique was introduced and developed by George Seurat, who was a French artist. This technique, which is known as Pointillism, involved applying small, pure, color paints directly and separately on the canvas with the aim that they blend in the eye of the beholder at an intended distance. I am very interested to know how they selected the right color components and whether there is a color theory to support the technique. I wonder if we could apply it for architectural scale design.

Wow much time should the lamp be on?

Difference between paints

light variety