RGB Color Model: Effect of Color Change on a User in a VR Art Gallery Using Polygraph.

This paper presents computer and color vision research focusing on human color perception in VR environments. A VR art gallery with digital twins of original artworks is created for this experiment. In this research, the field of colorimetry and the application of the L*a*b* and RGB color models are applied. The inter-relationships of the two color models are applied to create a color modification of the VR art gallery environment using C# Script procedures. This color-edited VR environment works with a smooth change in color tone in a given time interval. At the same time, a sudden change in the color of the RGB environment is defined in this interval. This experiment aims to record a user's reaction embedded in a VR environment and the effect of color changes on human perception in a VR environment. This research uses lie detector sensors that record the physiological changes of the user embedded in VR. Five sensors are used to record the signal. An experiment on the influence of the user's color perception in a VR environment using lie detector sensors has never been conducted. This research defines the basic methodology for analyzing and evaluating the recorded signals from the lie detector. The presented text thus provides a basis for further research in the field of colors and human color vision in a VR environment and lays an objective basis for use in many scientific and commercial areas.

Using Children's Artwork to Improve Adherence with Timely Antibiotic Administration in Open Fractures.

Introduction: Antibiotics for open fractures (OFs) administered within 60 min of emergency department (ED) arrival reduce patients' infection risk. We tested a novel method of displaying children's drawings to prompt clinicians to improve adherence with early antibiotics for OFs. Methods: Registry-based pre- (January 1, 2016-June 30, 2019) and post- (July 1, 2019-March 31, 2022) intervention at a level 1 trauma center. In July 2019, children's artwork depicting OF was displayed in the ED alongside OF guidelines and E-mailed to faculty and residents. Primary outcome: proportion of OF patients who received antibiotics within 60 min of arrival. Time to antibiotics was calculated from ED arrival to time-stamped administration in the electronic health record. We compared time to antibiotics as continuous variables between the two groups. Proportions are presented with percentages and 95% confidence interval (CI); continuous variables as median and quartiles. Chi-square or Mann-Whitney U-tests were used for group comparisons. Results: Five hundred fifty-four total OF patients were identified (excluded: transferred = 1, ED death = 4, unclear time to antibiotics = 11); 281 pre-implementation and 257 post-implementation. The median age was 34 years (quartiles 24 and 46). Trauma mechanisms of injury included 300 blunt (56%) and 238 penetrating (44%). Gustilo OF classification by type were as follows: 71% I, 13% II, 15% III, 1% unclassified. There was a significant difference (P = 0.001) in both percentage of patients who received antibiotics within 60 min (58%, 95% CI, 52%-63% vs. 79%, 95% CI, 74%-84%) and time to antibiotics (median: 46 min vs. 25 min) between pre- and postphases, respectively. Conclusions: Children's artwork in our ED improved adherence with OF guidelines and decreased time to antibiotics.

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation.

We introduce an emotional stimuli detection task that targets extracting emotional regions that evoke people's emotions (i.e., emotional stimuli) in artworks. This task offers new challenges to the community because of the diversity of artwork styles and the subjectivity of emotions, which can be a suitable testbed for benchmarking the capability of the current neural networks to deal with human emotion. For this task, we construct a dataset called APOLO for quantifying emotional stimuli detection performance in artworks by crowd-sourcing pixel-level annotation of emotional stimuli. APOLO contains 6781 emotional stimuli in 4718 artworks for validation and testing. We also evaluate eight baseline methods, including a dedicated one, to show the difficulties of the task and the limitations of the current techniques through qualitative and quantitative experiments.

Using Event-Related Potentials to Evidence the Visual and Semantic Impact: A Pilot Study with N400 Effect and Food Packaging.

Packaging design is pivotal in motivating consumer decisions, as a key communication tool from creation to purchase. Currently, the interpretation and evaluation of packaging's impact are shifting toward non-traditional methods. This pilot study evaluated the packaging perception of York Ham and Turkey Breast products. The event-related potential (ERP) technique, the methodology priming words (positive and negative), and target images (original and modified packaging) were applied. A total of 23 participants were sampled using a 32-channels scalp elastic electrode cap and viewed 200 trials of word-image matching. Participants responded whether the images and adjectives matched or not, using the two groups of images. The results demonstrate an N400 effect in the parietal area. This region was observed to show evidence of cognitive processing related to congruency or incongruency, by contrasting the priming and target of this study. The evaluation positioned the York Ham packaging as the best rated. The findings show a relevant contribution to ERPs and research related to the food packaging perception.

Learning to observe art to better understand the patients: A pilot study.

OBJECTIVES: We describe an artwork observation training program proposed to the first-year psychiatry residents in the school of medicine of Montpellier-Nîmes (Université de Montpellier). This course aimed at improving the ability to observe, tolerate ambiguity in healthcare, work as a team, communicate, and develop empathy. We also evaluated the impact of this program on the enhancement of emotional and communication skills in a pilot study. MATERIALS AND METHODS: The artwork observation program based on Visual Thinking Strategies consisted of three sessions of ninety minutes involving two groups of eight medical students. First-year volunteer psychiatry residents were recruited. Before the sessions participants completed the Groningen Reflection ability Scale to evaluate reflection skills. Then, all the participants examined paintings and drawings of the Atger collection, were encouraged to observe carefully, and to engage in active group discussion by means of a structured questioning. Following the session, participants responded to a short survey to assess potential improvement of socio-emotional and communication skills. RESULTS: Fifteen psychiatry residents participated in the pilot study, eight were males. The median age was twenty-five years. The artwork observation program was well accepted by the participants. All the respondents reported improvement of emotional and communication skills, except regarding three empathy items, including the ability to feel the suffering of others which was increased only for 62% of respondents. DISCUSSION: Our program relying on Visual Thinking Strategies may improve the ability to observe carefully, to perceive the mental states of others, and to tolerate uncertainty. Training of such skills may encourage the adoption of self-reflective attitudes. CONCLUSIONS: Such an artistic innovative program should be extended to undergraduate students in medical curriculum.

Powdered Cellulose Microblasting for Dry Cleaning Printed Works on Paper.

This study evaluates the practical feasibility of using powdered cellulose microblasting for dry cleaning paper-based printed artworks in a real setting of conservation treatment. The control parameters used for this purpose are the potential morphological changes in the surface, the level of cleanliness achieved, and the amount of residue remaining in the artwork after the treatment. In this study, cleaning of a lithography was conducted entirely with powdered cellulose microblasting. The outcomes were evaluated before and after treatment using optical microscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy, and spectrophotometry. The results indicate that powdered cellulose microblasting is a feasible and efficient technique for conducting the dry cleaning of printed works on paper without causing morphological changes to their surface. Additionally, it offers significant benefits by enabling precise treatment control, reducing cleaning time, and using materials stable in the long term and compatible with the substrate. Moreover, it mitigates the long-term negative effects caused by synthetic polymer residues from the cleaning materials commonly used in the dry cleaning of paper.

Art driven by visual representations of chemical space.

Science and art have been connected for centuries. With the development of new computational methods, new scientific disciplines have emerged, such as computational chemistry, and related fields, such as cheminformatics. Chemoinformatics is grounded on the chemical space concept: a multi-descriptor space in which chemical structures are described. In several practical applications, visual representations of the chemical space of compound datasets are low-dimensional plots helpful in identifying patterns. However, the authors propose that the plots can also be used as artistic expressions. This manuscript introduces an approach to merging art with chemoinformatics through visual and artistic representations of chemical space. As case studies, we portray the chemical space of food chemicals and other compounds to generate visually appealing graphs with twofold benefits: sharing chemical knowledge and developing pieces of art driven by chemoinformatics. The art driven by chemical space visualization will help increase the application of chemistry and art and contribute to general education and dissemination of chemoinformatics and chemistry through artistic expressions. All the code and data sets to reproduce the visual representation of the chemical space presented in the manuscript are freely available at https://github.com/DIFACQUIM/Art-Driven-by-Visual-Representations-of-Chemical-Space- . Scientific contribution: Chemical space as a concept to create digital art and as a tool to train and introduce students to cheminformatics.

Self-Relevance Predicts the Aesthetic Appeal of Real and Synthetic Artworks Generated via Neural Style Transfer.

What determines the aesthetic appeal of artworks? Recent work suggests that aesthetic appeal can, to some extent, be predicted from a visual artwork's image features. Yet a large fraction of variance in aesthetic ratings remains unexplained and may relate to individual preferences. We hypothesized that an artwork's aesthetic appeal depends strongly on self-relevance. In a first study (N = 33 adults, online replication N = 208), rated aesthetic appeal for real artworks was positively predicted by rated self-relevance. In a second experiment (N = 45 online), we created synthetic, self-relevant artworks using deep neural networks that transferred the style of existing artworks to photographs. Style transfer was applied to self-relevant photographs selected to reflect participant-specific attributes such as autobiographical memories. Self-relevant, synthetic artworks were rated as more aesthetically appealing than matched control images, at a level similar to human-made artworks. Thus, self-relevance is a key determinant of aesthetic appeal, independent of artistic skill and image features.

Multitechnique Characterization of Pigments Used in Paintings by Léon Pallière.

This study provides a microanalytical characterization of pigment fragments from the painting "Allegory to the Arts" and two portraits, "Rubens" and "Tintoretto," by Léon Pallière. The fragments were surface-analyzed using several near-surface methods to acquire information on the materials and determine the painting techniques utilized before the restoration. Scanning electron microscopy/energy-dispersive X-ray spectrometry (SEM/EDS), Raman spectroscopy coupled to an optical microscope (Raman microprobe), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR) revealed organic materials, hydrocerussite (Pb3(CO3)2(OH)2), cerussite (PbCO3), zincite (ZnO), chalcopyrite (CuFeS2), nepheline (K(Na,K)3AlSi4O16), calcite (CaCO3), brookite (TiO2), kinoshitalite (Ba3(Si2Al2)O10(OH)2), hematite (Fe2O3), barium magnesium silicate (Ba2Mg(Si2O7)), and aluminosilicates. Also identified were vermilion/cinnabar (HgS), copper phthalocyanine blue (C32H16CuN8), and mendipite (Pb3Cl2O2), in addition to the use of gold leaf in one of the artworks. SEM/EDS provided information on the chemical composition and surface morphology of the fragments, and XRD revealed crystalline raw materials (minerals or their synthetic analogs) used in the paintings. Raman microprobe was particularly useful in identifying pigments, providing a uniquely specific and sensitive means of identifying inorganic and organic compounds.

Generative Deep Learning-Based Thermographic Inspection of Artwork.

Infrared thermography is a widely utilized nondestructive testing technique in the field of artwork inspection. However, raw thermograms often suffer from problems, such as limited quantity and high background noise, due to limitations inherent in the acquisition equipment and experimental environment. To overcome these challenges, there is a growing interest in developing thermographic data enhancement methods. In this study, a defect inspection method for artwork based on principal component analysis is proposed, incorporating two distinct deep learning approaches for thermographic data enhancement: spectral normalized generative adversarial network (SNGAN) and convolutional autoencoder (CAE). The SNGAN strategy focuses on augmenting the thermal images, while the CAE strategy emphasizes enhancing their quality. Subsequently, principal component thermography (PCT) is employed to analyze the processed data and improve the detectability of defects. Comparing the results to using PCT alone, the integration of the SNGAN strategy led to a 1.08% enhancement in the signal-to-noise ratio, while the utilization of the CAE strategy resulted in an 8.73% improvement.

Factors Influencing Parenting Stress in the Mothers of Infants and the Effects of Artwork Production.

Background: The importance of support for the mothers of infants to cope with parenting stress due to isolated parenting environments is being emphasized. In order to reduce the parenting stress in parenting mothers while improving the quality of parenting support for them, it is important to identify factors influencing such stress. We investigated the effects of artwork production in different styles, conducted self-evaluation of such production, and identified factors influencing parenting stress in mothers, involving those who participated in a handprint artwork production workshop. Methods: We included 140 mothers who participated in a handprint artwork production workshop, dividing them into 2 groups: A: 70 with children younger than 3 years of age who engaged in artwork production alone; and B: 70 who engaged in it through collaboration with their children aged 3 years or older. The instructor distributed an anonymous, self-administered questionnaire to all the mothers, and collected their responses. The questionnaire examined the following items: attributes, the number of participations in the workshop, artwork production self-evaluation, and parenting stress. Results: There were 140 (100%) responses, and the number of valid responses was 65 from Group A and 54 from Group B, a total of 119 (85%). The mean [parenting strain] score was significantly higher in Group B. Multiple regression analysis identified the child's age and presence/absence of his/her siblings overall and in Group A, and , an item for artwork production self-evaluation, in Group B as factors influencing the total [parenting strain] score. Conclusion: The present results suggest that the child's age and presence/absence of his/her siblings could influence parenting stress in the mothers. Additionally, there was a correlation between the level of parenting stress and score for among the mothers who engaged in artwork production through collaboration with their children.

Paintings by Turner and Monet depict trends in 19th century air pollution.

Individual paintings by artists including Vincent van Gogh and Edvard Munch have been shown to depict specific atmospheric phenomena, raising the question of whether longer-term environmental change influences stylistic trends in painting. Anthropogenic aerosol emissions increased to unprecedented levels during the 19th century as a consequence of the Industrial Revolution, particularly in Western European cities, leading to an optical environment having less contrast and more intensity. Here, we show that trends from more figurative to impressionistic representations in J.M.W. Turner and Claude Monet's paintings in London and Paris over the 19th century accurately render physical changes in their local optical environment. In particular, we demonstrate that changes in local sulfur dioxide emissions are a highly statistically significant explanatory variable for trends in the contrast and intensity of Turner, Monet, and others' works, including after controlling for time trends and subject matter. Industrialization altered the environmental context in which Turner and Monet painted, and our results indicate that their paintings capture changes in the optical environment associated with increasingly polluted atmospheres during the Industrial Revolution.

Performance Evaluation of an IoT Sensor Node for Health Monitoring of Artwork and Ancient Wooden Structures.

In this paper, an IoT sensor node, based on smart Bluetooth low energy (BLE), for the health monitoring of artworks and large wooden structures is presented. The measurements from sensors on board the node are collected in real-time and sent to a remote gateway. The sensor node allows for the monitoring of environmental parameters, in particular, temperature and humidity, with accurate and robust integrated sensors. The developed node also embeds an accelerometer, which also allows other mechanical quantities (such as tilt) to be derived. This feature can be exploited to perform structural monitoring, exploiting the processing of data history to detect permanent displacements or deformations. The node is triggered by acceleration transients; therefore, it can also generate alarms related to shocks. This feature is crucial, for instance, in the case of transportation. The developed device is low-cost and has very good performance in terms of power consumption and compactness. A reliability assessment showed excellent durability, and experimental tests proved very satisfactory robustness against working condition variations. The presented results confirm that the developed device allows for the realization of pervasive monitoring systems, in the context of the IoT paradigm, with sensor nodes devoted to the monitoring of each artwork present in a museum or in a church.

Recent Advances in Counterfeit Art, Document, Photo, Hologram, and Currency Detection Using Hyperspectral Imaging.

Forgery and tampering continue to provide unnecessary economic burdens. Although new anti-forgery and counterfeiting technologies arise, they inadvertently lead to the sophistication of forgery techniques over time, to a point where detection is no longer viable without technological aid. Among the various optical techniques, one of the recently used techniques to detect counterfeit products is HSI, which captures a range of electromagnetic data. To aid in the further exploration and eventual application of the technique, this study categorizes and summarizes existing related studies on hyperspectral imaging and creates a mini meta-analysis of this stream of literature. The literature review has been classified based on the product HSI has used in counterfeit documents, photos, holograms, artwork, and currency detection.

Statistical image properties predict aesthetic ratings in abstract paintings created by neural style transfer.

Artificial intelligence has emerged as a powerful computational tool to create artworks. One application is Neural Style Transfer, which allows to transfer the style of one image, such as a painting, onto the content of another image, such as a photograph. In the present study, we ask how Neural Style Transfer affects objective image properties and how beholders perceive the novel (style-transferred) stimuli. In order to focus on the subjective perception of artistic style, we minimized the confounding effect of cognitive processing by eliminating all representational content from the input images. To this aim, we transferred the styles of 25 diverse abstract paintings onto 150 colored random-phase patterns with six different Fourier spectral slopes. This procedure resulted in 150 style-transferred stimuli. We then computed eight statistical image properties (complexity, self-similarity, edge-orientation entropy, variances of neural network features, and color statistics) for each image. In a rating study, we asked participants to evaluate the images along three aesthetic dimensions (Pleasing, Harmonious, and Interesting). Results demonstrate that not only objective image properties, but also subjective aesthetic preferences transferred from the original artworks onto the style-transferred images. The image properties of the style-transferred images explain 50 - 69% of the variance in the ratings. In the multidimensional space of statistical image properties, participants considered style-transferred images to be more Pleasing and Interesting if they were closer to a "sweet spot" where traditional Western paintings (JenAesthetics dataset) are represented. We conclude that NST is a useful tool to create novel artistic stimuli that preserve the image properties of the input style images. In the novel stimuli, we found a strong relationship between statistical image properties and subjective ratings, suggesting a prominent role of perceptual processing in the aesthetic evaluation of abstract images.

Measuring High Dynamic Range Spectral Reflectance of Artworks through an Image Capture Matrix Hyperspectral Camera.

Commercial hyperspectral imaging systems typically use CCD or CMOS sensors. These types of sensors have a limited dynamic range and non-linear response. This means that when evaluating an artwork under uncontrolled lighting conditions and with light and dark areas in the same scene, hyperspectral images with underexposed or saturated areas would be obtained at low or high exposure times, respectively. To overcome this problem, this article presents a system for capturing hyperspectral images consisting of a matrix of twelve spectral filters placed in twelve cameras, which, after processing these images, makes it possible to obtain the high dynamic range image to measure the spectral reflectance of the work of art being evaluated. We show the developed system and describe all its components, calibration processes, and the algorithm implemented to obtain the high dynamic range spectral reflectance measurement. In order to validate the system, high dynamic range spectral reflectance measurements from Labsphere's Spectralon Reflectance Standards were performed and compared with the same reflectance measurements but using low dynamic range images. High dynamic range hyperspectral imaging improves the colorimetric accuracy and decreases the uncertainty of the spectral reflectance measurement based on low dynamic range imaging.

Headache and changes in artwork as a presentation of central venous sinus thrombosis in a child with acute lymphoblastic leukemia.

Acute lymphocytic leukemia (ALL) is a common pediatric cancer diagnosis with excellent survival outcomes but significant morbidity, particularly during the induction phase of chemotherapy. Central venous sinus thrombosis (CVST) is a known potential complication of induction therapy; however, it occurs rarely and may be difficult to diagnose, particularly in young children who have limited verbal skills. Herein, we report a case of CVST in a child with B-cell ALL undergoing induction chemotherapy whose main symptoms were headache and a change in the appearance of his artwork noticed by his parents. This astute observation by the child's parents played a critical role in his diagnosis, allowing prompt treatment and eventual recovery.

The Impact of Particulate Matters and Nanoparticles on Thermoplastic Polymer Coatings and Paint Layers.

This article attempts to highlight a phenomenon that more or less permanently damages emulsion paint layers, the surfaces of which remain sufficiently permeable for dust particles to become permanently anchored there; when the particles are nanometric, this can cause a permanent change in appearance. Based on scientific documents, empirical observations, laboratory analyses, case studies, and reconstructions of characteristic pictorial layers, this paper aims to highlight the medium- and long-term risks that alter these surfaces, in order to realize strategies for better prevention. The physico-chemical nature of these vulnerable materials will be discussed first, followed by the dust's involvement; finally, the topic will be illustrated through concrete examples, with photos taken using digital, 4 K optical, and Scanning Electron Microscope equipment (SEM), in order to show how the problem of dust particle accumulation impacts even the most contemporary works of art.

Il Silenzio: The First Renaissance Oil Painting on Canvas from the Uffizi Museum Restored with a Safe, Green Antimicrobial Emulsion Based on Citrus aurantium var. amara Hydrolate and Cinnamomum zeylanicum Essential Oil.

Preserving artworks from the attacks of biodeteriogens is a primary duty of humanity. Nowadays, restorers use chemicals potentially dangerous for both artworks and human health. The purpose of this work was to find a green and safe formulation based on natural substances with fungicidal activity to restore ancient oil paintings, particularly "Il Silenzio" (by Jacopo Zucchi) preserved at the Uffizi Museum in Florence, Italy. The study was divided into two phases. First phase (in vitro study): three essential oils (EOs) and four hydrolates (Hys) were analysed by GC-mass spectrometry and in vitro tested against six ATCC strains of molds. An emulsion based on the more active natural compounds was tested on aged and unaged canvases samples to evaluate both their fungicidal activity and the impact on chemical-physical parameters. Finally, an in vivo toxicity test performed on the Galleria mellonella model assessed the safety for health. Second phase (in situ application): the emulsion was sprayed on the back of the painting and left to act for 24 h. Biodeteriogens present on the "Il Silenzio" painting were microbiologically identified before and after the treatment. The emulsion formulated with C. zeylanicum EO and C. aurantium var. amara Hy showed the best antifungal activity both in vitro and in situ without altering the chemical-physical characteristics of paintings. Furthermore, no in vivo toxicity was shown. For the first time, a green antimicrobial emulsion based on Hy and EO, safe for operators, was used to decontaminate an artwork colonised by fungi before the restoration practices.

Dual-polarity MALDI mass spectrometry and imaging of oil binders and fatty acids in artworks using cyanographene as a single matrix.

Matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and imaging mass spectrometry (IMS) are being increasingly recognized for the detection and visualization of various organic species including lipids and fatty acids. Nevertheless, most MALDI matrices perform optimally in one ionization mode. This study investigates the performance of cyano derivative of graphene (G-CN) as a matrix in two polarities of MALDI MS and IMS for the detection of oil binders and fatty acids in artworks, and compares it with classical MALDI matrices (2,5-dihydroxybenzoic acid, 9-aminoacridine). Results revealed the ability of G-CN to provide high quality positive and negative mass spectra of oils and fatty acids, respectively, with lowest matrix-induced interferences among tested matrices and minimal effects of the presence of inorganic pigments. The newly developed approach makes both oil and fatty acid identifiable in a single spot simply by covering the sample surface with one matrix and switching the polarity in MALDI without any sample manipulation. G-CN offers effective matrix to analyte energy transfer, ability to detect components in less than 100 ng of oil at a MALDI spot and lesser analyte fragmentation than the compared conventional matrices. Furthermore, it enables direct mapping of specific m/z features corresponding to triacylglycerol (TAG), products of TAG oxidation and deprotonated acids using one nanoparticle matrix in MALDI IMS. This research shows potential for technical innovations in the study of art micro-environments and degradation phenomena of historical artworks.