Welcome to a Pink and Blue World! An Analysis of Gender-Typed Content in Birth Announcement Cards From 1940–2019 in the Netherlands

There is a longstanding tradition in the Netherlands to announce the birth of a child by sending out birth announcement cards to friends and family. These cards provide a glimpse of the ‘zeitgeist’ over the years regarding gender through the way in which the birth of a son or a daughter is announced. The current study examined the gender-typed content of birth announcement cards from 1940 until 2019. To this end, 4669 birth announcement cards were coded based on the following categories: gender of baby, use of color, different types of images, and different types of text. Logistic regression analyses revealed that boy cards were more likely than girl cards to include blue as the dominant color, masculine descriptions of the baby, and parental expressions of pride. Girl cards were more likely than boy cards to include pink as the dominant color and images of flowers. Over time there was a decrease in the inclusion of masculine descriptions on boy cards, as well as the likelihood that fathers were mentioned before mothers. However, the expression of pride on boy cards increased over time. Overall, the amount of gender-typed content in birth announcement cards was minimal. Birth announcement cards which included gender-typed content tended to reflect gender stereotypes and different expressions for boys and girls in subtle ways that continue to reinforce gender stereotypes.

Implementation of Adaptive Real-Time Camouflage System in Visible-Light Band

This paper presents an adaptive camouflage system in visible band, featuring a dominant color feature-matching algorithm and pulse width modulation (PWM)-based display driving circuit. The control system consists of three parts, namely, the background sensing part, the central processing part, and the physical driving waveform generation part. Images of the local environment are sampled by the background sensing part, and then the dominant color feature matching algorithm is conducted to select a proper camouflage image that matches the local environment. Consequently, the cholesteric liquid crystals (CLCs) display using amplitude adjustable AC voltage, which is modulated by the physical driving waveform generation unit. The experimental results show that the matching degree of the proposed algorithm was 2.47 times that of the conventional hue (H), saturation (S), and value (V) histogram camouflage evaluation method, while the output peak wavelength of the reflective band can be adjusted from 604 to 544 nm according to the ambient color profile.

Social steerability modulates perceptual biases

Verbal hints can bias perceptual decision-making, even when the information they provide is false. Whether individuals may be more or less susceptible to such perceptual influences, however, remains unclear. We asked naive participants to indicate the dominant color in a series of stimuli, after giving them a false statement about which color would likely dominate. As anticipated, this statement biased participants’ perception of the dominant color, as shown by a correlated shift of their perceptual decisions, confidence judgments and response times. Crucially, this perceptual bias was more pronounced in participants with higher levels of susceptibility to social influence, as measured by a standard suggestibility scale. Together, these results indicate that even without much apparatus, simple verbal hints can affect our perceptual reality, and that social steerability can determine how much they do so. Susceptibility to suggestion might thus be considered an integral part of perceptual processing.Statement of relevanceAt a time when fake news soar, understanding the role that simple verbal descriptions play in how we perceive the world around us is paramount. Extensive research has shown that perception is permeable to well-orchestrated manipulation. Comparatively less attention has been paid to the perceptual impact of false information when the latter is imparted simply and straightforwardly, through short verbal hints and instructions. Here we show that even a single sentence suffices to bias perceptual decision-making, and that critically, this bias varies across individuals as a function of susceptibility to social influence. Considering how here perception was biased by a single, plain sentence, we argue that researchers, communicators and policy-makers should pay careful attention to the role that social suggestibility plays in how we build our perceptual reality.

Main color extraction algorithm and its application in clothing image retrieval

In content-based clothing image retrieval, color features can best reflect the basic characteristics of clothing, and also the most stable visual features. Compared with other image features, color features have smaller size, orientation and visual dependence. This paper studies the application of dominant color extraction algorithm in clothing image retrieval, and proposes a clothing classification method based on dominant color ratio. Clothing image is divided into color clothing and non color clothing. On this basis, a main color extraction algorithm of clothing image color feature extraction is proposed. Taking the clothing color features as an example, the image features are analyzed, and then the SVM image classification algorithm is designed to analyze the image features. Then an improved scheme based on data mining technology is proposed, and the analysis model based on association rules is established. Finally, a method of standard man hour correction based on association rules is proposed. The experimental results show that, compared with the existing algorithms, the recall rate and accuracy rate are significantly improved for the clothing with simple or complex background, pattern and non pattern clothing. Analyze and divide the specific areas of clothing image, extract the main color of clothing image, share and recommend clothing image and color extraction results. This research not only has certain research significance, but also has certain practical application value.

Large Remote Sensing Image Segmentation with Stitching Strategy Based on Dominant Color

Large remote sensing image segmentation is a crucial issue in object-based image analysis. It is common sense that a segmentation framework consists of three components: (1) dividing largeremote sensing image into blocks for overcoming the constraint of computer memory; (2) executing segmentation algorithm for each block individually; (3) stitching segmentation results of all blocks into a complete result for eliminating artificial borderscreated by dividing blocks. However, there is a lack of mature technologies to eliminate artificial borders produced by dividing blocks. In this paper, we proposed a new stitching strategy based on the dominant color similarity measure and modified thetraditional methodof dominant color similarity measure to make itmoresuitable for measuring the similarity of two segmented regions. A multi-scale segmentation algorithm is adopted for segmenting each block. External memory is used to store intermediate segmentation results and exchange data with internal memory. We tested the algorithm with three different images and validated that the algorithm can implement the segmentation for large remote sensing images in a common computer. Experiments demonstrate that the stitchingstrategy based on the similarity measure of dominant color can effectively eliminate artificial borders.

MACRO- FEATURES AND DENSITY OF VARIOUS TIMBER SPECIES FROM PAPUA

This research highlights diversity of macro-features and density of major timber species from Papua. Thirty-one species of air-dried timber with sample size of 13 cm × 6 cm × 4 cm gathered across Papua were used for density measurement and macro-features observation, cover of colors, grain orientation, and wood texture. The results showed that whitish and straw to yellow brown are dominant color of timber mostly harvested from Papua tropical forest. Their grain orientations are mostly straight, while their textures are medium. With regard to their density, Xantostemum spp is the heaviest timber having density of 1,25 g/cm3 while Alstonia scholaris is the lightest species of timber with density of 0.29 g/cm3. Therefore, majority Papua`s timber species studied are classified into light class species or low density timbers. Pulp and paper, veneer, plywood, flooring, meubels, indoor urnitures and handles or woody utensils are the potential uses of these timber species.

VISUAL STUDENTS SKILL IN DRAWING TWO DIMENSIONAL IMAGINATIF

This study aims to determine the profile of visual student skills in imaginative two-dimensional drawing. This study uses a qualitative method. The subjects of this study were students of Class IIA at SDN Jemur Wonosari 1/417 Surabaya, which were categorized based on learning styles. The instrument used to collect data in the form of a checklist of learning styles, documentation and interviews. Based on the results of imaginative drawing show subjects with visual learning styles are able to draw two-dimensional imaginative by using the elements of lines and colors well. The visual subject in the picture is already able to use straight lines, curved lines and zig-zag lines. The visual subject has also been able to project three-dimensional objects into two-dimensional images. Visual subjects look a lot using colors in drawing. The combination of primary, secondary and tertiary colors. In images, the dominant color used by visual subjects is primary colours. It can be concluded that children with visual learning styles have the characteristics of being neat, orderly, thorough and concerned with appearance, so this is in line with the results of images that look neat, harmonious and realistic.