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A new procedure for the investigation of acrylic paint layers superposed on an aluminim foil has been recently suggested. The experimental technique consisted in a series of PIKE analyses at various incident proton energies. The sequence of colours and the thicknesses of the layers were established very satisfactorily.

Here, we apply this technique to a painting made with six acrylic colours from Liquitex Inc. Analyses at various points yield a good agreement with the information given by the painter. In this article we report on the results obtained for one of the points and we present and discuss the ingredients required by the computation.

A painting consists of objects which are arranged in specific ways. The art of painting is drawing the objects, which can be considered as known trends, in an expressive manner. Detrended methods are suitable for characterizing the artistic works of the painter by eliminating trends. It means that the study of paintings, regardless of its apparent purpose, as a stochastic process. Multifractal detrended fluctuation analysis is applied to characterize the statistical properties of Mona Lisa, as an instance, to exhibit the fractality of the painting. The results show that Mona Lisa is a long-range correlated and almost behaves similar in various scales.

Color transfer is to alter an image’s color composition by reference to the color characteristics of another image. In this paper, we build a system called artistic coloring that realizes automatic color transfer from famous paintings. It properly extracts the wonderful color characteristics of famous paintings and applies them to color transfer. Specially, we investigate the traditional color theme extraction methods and find their deficiencies. Based on this, we quantify the processing of human painting to find the main colors in the color palette and propose an artistic balanced color theme extraction algorithm aimed specially at paintings. In the experiments, a user study is carried out to evaluate the artistic balanced extraction method. Our proposed method achieves the highest score 3.98 in a 5-point evaluation, which is 41% higher than traditional methods at most. We have successfully tested the artistic coloring system on lots of images with different painting styles. The results are natural and have the similar color characteristics with their corresponding reference paintings.

Painting at the Molecular Level.

A Peek at Brazil and Chile's Healthcare Sectors - An Investor's Perspective.

An Industry Perspective NO PAIN, NO GAIN - Frost and Sullivan analyzes the underlying forces behind the pain management market potential in Asia.

The professional painting industry has experienced a dramatic breakthrough with the rapid expansion of computer science and technology. In the current digital era, digital painting art is extending the more significant creative space to add new content. Digital painting is the modern trend of mainstream painting presented to the public as a new generation of visual art. Creativity may show up, and new techniques of creating art can arise infinitely with the assistance of computer intelligence technology. This article explains how computer image processing is used in the production of art. The report offers a painting technique based on Image Rendering (IR), which does not rely on human expertise in the past, and a color image is turned into a photo with a painting effect automated. Image-based rendering is a novel way in which computer graphics and picture processing are drawn and combined with the requirement to build geometric models, get information from the input image simply by interpolating views, deforming images, and reconstructing the desired action. This article proposes the indirect use of picture processing technology and computer technology to produce oil painting. It will investigate the application of contemporary digital picture technology in order not only to maintain traditional tastes, and to keep pace with the pace of the times, to create traditional optimization.

Now growing at a rate of over 5% per annum, the $3 billion ‘alternative health therapies’ business is now positioned in the top ten growth industries in Australia. With poor regulation of both therapeutic goods and the unregistered therapists who promote them, cancer patients may well be putting their health at risk when they place their faith in many so-called ‘natural’ or ‘traditional’ treatments. With a focus on what complementary therapists refer to as ‘energy medicine’ and ‘nutritional medicine’, this chapter explores the risks and benefits of some of the more popular alternative health-care choices. While investigating their histories, it outlines what influences cancer patients to try these unproven therapies, and the conflict and contrast in information relating to the claims made for them and the conclusions of evidence-based research. Although there are a number of complementary therapies that are of benefit to some patients, both during and after their cancer treatments, ‘natural’ does not always equal ‘safe’, may be expensive and may even compromise their health. More patients now want a greater say in their choices of treatment, and selecting complementary therapies that may help is another of the many challenges faced in trying to make informed choices, as we navigate along our individual roads on our journeys to recovery.

Painting is a common activity in community centers. The artworks of the elderly are displayed on the wall or put into the portfolio collection after they are completed. Unfortunately, few people admire these creations and understand the meaning of the painting. Therefore, the purpose of the research is to display the artworks of the elderly in a new way. Through observation and interview, an interactive projection system suitable for the elderly’s painting activity was developed. It allows people to admire and review the artworks. The results proposed a system for the elderly to communicate with others and promote their social interaction.

These days, development of computer device leads to computer user explosion. On the other hand, conventional technology cannot handle user's diversity, because the computer cannot treat each user's subjectivity. It is important to materialize techniques which can answer user's subjective requests flexibly for the coming new media epoch. This research focuses on studying how subjective impressions are grounded in physical perceptions, especially in visual perception. In this paper, we propose a model for subjectivity and physical perceptions, and give an example in an image database system.

ART MUSEUM is our prototype system which can treat each user's subjective interpretation for advanced image database. It allows users to retrieve images from a database of impressionist paintings (e.g. Monet's works) by using adjective words. The system learns the correlation between the feature of sample paintings and user's descriptions, and provides interactive and progressive learning mechanisms. We show the interesting experimental results on ART MUSEUM (Multimedia Database with Sense of Color and Construction upon the Matter of ART) system.