Border Color Research Articles

Goal Shifts Structure Memories and Prioritize Event-defining Information in Memory.

Every day, we encounter far more information than we could possibly remember. Thus, our memory systems must organize and prioritize the details from an experience that can adaptively guide the storage and retrieval of specific episodic events. Prior work has shown that shifts in internal goal states can function as event boundaries, chunking experiences into distinct and memorable episodes. In addition, at short delays, memory for contextual information at boundaries has been shown to be enhanced compared with items within each event. However, it remains unclear if these memory enhancements are limited to features that signal a meaningful transition between events. To determine how changes in dynamic goal states influence the organization and content of long-term memory, we designed a 2-day experiment in which participants viewed a series of black-and-white objects surrounded by a color border on a two-by-two grid. The location of the object on the grid determined which of two tasks participants performed on a given trial. To examine if distinct types of goal shifts modulate the effects of event segmentation, we changed the border color, the task, or both after every four items in a sequence. We found that goal shifts influenced temporal memory in a manner consistent with the formation of distinct events. However, for subjective memory representations in particular, these effects differed by the type of event boundary. Furthermore, to examine if goal shifts lead to the prioritization of goal-relevant features in longer lasting memories, we tested source memory for each object's color and grid location both immediately and after a 24-hr delay. On the immediate test, boundaries enhanced the memory for all concurrent source features compared with nonboundary items, but only if those boundaries involved a goal shift. In contrast, after a delay, the source memory was selectively enhanced for the feature relevant to the goal shift. These findings suggest that goals can adaptively structure memories by prioritizing contextual features that define a unique episode in memory.

How to Make Flower Borders Benefit Public Emotional Health in Urban Green Space: A Perspective of Color Characteristics

The emotional health benefits of urban green space have been widely recognized. Flower borders, as a perennial plant landscape, have gradually become a current form of plant application in urban green spaces due to their rich color configurations. However, the related research primarily focuses on the impact of urban green spaces on public health, with relatively little attention given to how the colors of flower borders affect public emotional health. This study explored the relationship between the flower borders color characteristics and the public emotional health. In this study, 24 sample images were used as experimental materials, which selected based on their color richness and harmony. Additionally, face recognition technology and online random questionnaires were utilized to measure the public basic emotions and pleasure, respectively. The result shows that, based on the HSV color model and expert recommendations, 19 color characteristics were identified. The correlation analysis of the results from the public emotion with these color characteristics revealed that 13 color characteristics correlated with public emotional pleasure. Among them, blue, neutral purple, and low saturation were positively correlated. Through factor analysis, these thirteen color characteristics were summarized and categorized into four common factors (F1–F4), three of which are related to color. They are “low saturation of blue-violet percentage” (F1), “color configuration diversity” (F2), “bright red percentage” (F3), and “base green percentage” (F4), with F1 having the largest variance explained (27.88%). Finally, an evaluation model of color characteristics was constructed based on the variance explained by these four factors, which was demonstrated to effectively predict the level of public emotional pleasure when viewing flower borders. The results shed light on the effects of color characteristics on public emotions and provide new perspectives for subsequent flower border evaluations. Our results provide a valuable reference for future flower border color design, aiming to better improve public emotional health.

Skin Cancer Detection using Image Processing

Abstract: Early detection of melanoma skin cancer is crucial for effective treatment. Among various types of skin cancer, melanoma is considered the most dangerous due to its high likelihood of spreading to other parts of the body if not diagnosed and treated promptly. In recent years, non-invasive medical computer vision and medical image processing techniques have gained significant importance in clinical diagnosis. These techniques offer automated image analysis tools that enable accurate and rapid evaluation of skin lesions. The study involves several steps, including the collection of a dermo image database, preprocessing, segmentation using thresholding, and extraction of statistical features such as gray level co-occurrence matrix (GLCM), asymmetry, border color, and diameter. Feature selection is performed using principal component analysis (PCA), followed by the calculation of a total dermo copy score. The final step involves classification using convolutional neural networks (CNN). The results of the study indicate an impressive classification accuracy of 96.5%.

Morphometric Characteristics of Galekan Cattle Breed Base on Principle Component Analysis (PCA)

This study obtained morphometric information on Galekan cattle and compared phenotypic characteristics of Galekan cattle with local breed based on previous studies. This research was a case study with purposive sampling using the snowball sampling technique. The material used was 60 cattle of Galekan cattle which were kept in the Technical Unit (UPT) at Dongko and Panggul Sub Districts. The variables observed included qualitative characteristics and quantitative characteristics of morphometric components and body weight. T2-Hotelling test, descriptive statistics, and principal component analysis are used for quantitative data. The results showed that the qualitative characteristics of Galekan cattle were dominated by light brown body color with smear body color border, black backline, black vulva, black tail tip, face color as same as dominant body color, black muzzle, black upper and lower lips, smear white eye area, dark eye circles, black eyelashes, and black ear lines. The characteristics of the body shape of Galekan cattle have upward horns, no hump, and thin dewlap. The results of the T2-Hotelling analysis in UPT showed a significant difference (p <0.05) compared to other cattle in Dongko and Panggul Sub Districts. Principal component analysis (PCA) of Galekan cattle can be characterized by body weight, chest girth, depth chest, Ossa vertebrae lumbales, Ossa metatarsal, and Ossa vertebrae thoracicae.

Computer vision for microscopic skin cancer diagnosis using handcrafted and non-handcrafted features.

Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the riskiest is melanoma, although it starts in a few different ways. The patient is extremely unaware of recognizing skin malignant growth at the initial stage. Literature is evident that various handcrafted and automatic deep learning features are employed to diagnose skin cancer using the traditional machine and deep learning techniques. The current research presents a comparison of skin cancer diagnosis techniques using handcrafted and non-handcrafted features. Additionally, clinical features such as Menzies method, seven-point detection, asymmetry, border color and diameter, visual textures (GRC), local binary patterns, Gabor filters, random fields of Markov, fractal dimension, and an oriental histography are also explored in the process of skin cancer detection. Several parameters, such as jacquard index, accuracy, dice efficiency, preciseness, sensitivity, and specificity, are compared on benchmark data sets to assess reported techniques. Finally, publicly available skin cancer data sets are described and the remaining issues are highlighted.

Zapateado Rebelde in "Somos Sur": A Feminist Performance of Transnational Women of Color Border Artivism

Using feminist artivism as a framework, this article examines the improvised performance of "Somos Sur" by the grassroots feminist dance group Mujeres en Resistencia of San Diego, California, with internationally renowned artists Ana Tijoux and Shadia Mansour, at the US///Mexico Border wall in 2017. Grounded in indigenous feminist epistemologies and Zapatista technologies of organizing and resistance to globalized capitalism, I locate Mujeres en Resistencia's zapateado rebelde within a transnational, women of color artivist praxis that simultaneously disrupts the normalization of colonial, imperial, and patriarchal structures of oppression at the US///Mexico border and aligns with indigenous liberation in Palestine and Chile. By reading choices in choreography and visual representation, for example, the use of the paliacate, boots, machete, and kuffiyeh, I examine the relation between zapateado rebelde and the process of becoming women of color in the context of speaking against borders and creating new spaces for feminist liberation practices through global south joint-struggles.

Zapateado Rebelde in “Somos Sur”: A Feminist Performance of Transnational Women of Color Border Artivism

Zapateado Rebelde in “Somos Sur”: A Feminist Performance of Transnational Women of Color Border Artivism

The Effect of Symbol Background Color on the Speed of Locating Targets by Adults Without Disabilities: Implications for Augmentative and Alternative Communication Display Design

Purpose Previous research with children with and without disabilities has demonstrated that visual–perceptual factors can influence the speech of locating a target on an array. Adults without disabilities often facilitate the learning and use of a child's augmentative and alternative communication system. The current research examined how the presence of symbol background color influenced the speed with which adults without disabilities located target line drawings in 2 studies. Method Both studies used a between-subjects design. In the 1st study, 30 adults (ages 18–29 years) located targets in a 16-symbol array. In the 2nd study, 30 adults (ages 18–34 years) located targets in a 60-symbol array. There were 3 conditions in each study: symbol background color, symbol background white with a black border, and symbol background white with a color border. Results In the 1st study, reaction times across groups were not significantly different. In the 2nd study, participants in the symbol background color condition were significantly faster than participants in the other conditions, and participants in the symbol background white with black border were significantly slower than participants in the other conditions. Conclusion Communication partners may benefit from the presence of background color, especially when supporting children using displays with many symbols.

A Computational Approach to Pertinent Feature Extraction for Diagnosis of Melanoma Skin Lesion

Melanoma, starts growing in melanocytes, is less common but more serious and aggressive than any other types of skin cancers found in human. Melanoma skin cancer can be completely curable if it is diagnosed and treated in an early stage. Biopsy is a confirmation test of melanoma skin cancer which is invasive, time consuming, costly and painful. To prevent this problem, research regarding computerized analysis of skin cancer from dermoscopy images has become increasingly popular for last few years. In this research, we extract the pertinent features from dermoscopy images related to shape, size and color properties based on ABCD rule. Although ABCD features were used before, these features were mostly calculated to reflect asymmetry, compactness index as border irregularity, color variegation and average diameter. This paper proposes one asymmetry feature, three border irregularity features, one color feature and two diameter features as distinctive and pertinent. Implementation of our approach indicates that each of these proposed features is able to detect melanoma lesions with over 72% accuracy individually and the overall diagnostic system achieves 98% classification accuracy with 97.5% sensitivity and 98.75% specificity. Therefore, this method could assist dermatologist for making decision clinically.

CONDITION OF PHOTOCOMPOSITION REFLECTION OF TOOLS IN DIFFERENT CONDITIONS OF LIGHT POLYMERIZATION OF ADHESIVE SYSTEM

Topicality. The newest technologies of restoration of teeth involve the use of photocomposition materials and adhesive systems, a certain role in the hardening of which is played by the characteristics of the light flux photopolymerizer. In order to minimize the number of complications after restoration, it is necessary to provide a complete solidification of adhesive systems.
 Goal. Clinical assessment of dental restorations made from nanophoto-composite material for the application of the adhesive system of the V generation, the application and hardening of which was carried out in different regimes.
 Materials and methods. 46 patients aged 19 to 40 years were examined, in which 67 lateral teeth with carious lesions of Grade I and II for Blake were restored with the use of a V-generation adhesive system using nanoproduction material. The patients examined were divided into three groups. In 15 patients in Group I, 21 tooth restorations were performed with polymerization of the adhesive system with a 600-mW / dm H2O photoconductor photoluminescence photomultizer, and 23 restoration was performed in 15 patients in Group II, using the same adhesive system with the photoconductive polymerization of light-intensity photomulpirants of constant intensity 1500 mW / cm2; in group ІІ there were 16 patients with 23 restorations, made by applying two layers of the adhesive system to the bottom and the wall of the opaque cavity of the adhesive system, each of which polimeryzuvaly's fotopolimeryzatora LED luminous flux of constant intensity 1500 mW / cm2. The state of restoration was evaluated the next day and after 6 and 12 months according to the clinical criteria of Ryge. Statistical processing was carried out using a computer program in the MS Excel XP package.
 Results. The following day after restoration in all restoration of teeth there were no violations. After 6 months in patients of group I, limiting inclining was violated in 2 restorations (9.5% of the number of restorations in the patients in this group), the coloration was found in 3 restorations (14.3%), increased sensitivity - in 1 restored tooth (4, 8%). There was no secondary caries and color discrepancy. In patients of the II group, the violation of the boundary alignment was established in 1 restoration (4.3% of the number of restorations in the group), the border color - also in 1 restoration (4.3%), secondary caries, sensitivity and color discrepancy not established. Patients in group III had no violations.
 After 12 months, in patients of Group I, the number of violations increased to 6 (28.6%), 5 restorations (23.8%) were found with the coloration on the border of the nanofococomposite, the secondary caries was detected in 2 restorations (9.5%), color discrepancy - also in 2 restorations (9.5%), there was no increased sensitivity. Patients in the group II of the regional adherence violations and cases of marginal coloration were, respectively, 3 (13.0%) and 2 (8.7%), secondary caries and color discrepancies - in one case (4.3%), there was no sensitivity. Patients in group III violations of boundary adherence of the material were established in 1 restoration (4.3%), border color - also in 1 restoration (4.3%), other violations were not detected. In group I patients, there were 15 violations in general, 7 in patients in group II, 2.1 times less; in patients of group III, there were only 3 disorders, that is, 5 times less than in group I patients.
 Conclusions. The number of violations of lateral teeth restoration according to clinical criteria at all times was greatest in patients in which the adhesive system of the V generation was polymerized by a light flux of a halogen photopolymerizer of low intensity. The smallest number of complications was observed in patients who, during the recovery, applied the adhesive system to two layers, each of which was irradiated with a light flux of a high-intensity constant photoconductive photoconductor.
 Prospects for further research. Laboratory studies on the influence of different modes of application and hardening of the adhesive system on the biophysical characteristics of the connection with hard tissue of the teeth are planned.

España, frontera de color. El racismo como síntoma del fracaso necesario de la identidad nacional

Al contrario de lo que suele pensarse, la raza no es la matriz en que se gesta el racismo, sino que es el racismo el que inventa la raza, su condición de posibilidad. Solo así puede entenderse la manera en que este fenómeno ha apelado a distintos órdenes de nuestra realidad para generar el conjunto de normas, ideas y emociones que constantemente nos atraviesan como sociedad. En este artículo se intentará evaluar la incidencia del racismo en España, analizando el impacto reciente de la inmigración ilegal en sus redes sociales y medios de comunicación. Partiendo del reconocimiento del papel que ha jugado la colonialidad a lo largo de su historia, así como de la perturbadora necesidad que esta ha impuesto para excluir a su otredad racializada, se tratará de demostrar el papel que ha jugado el país como frontera de color, como límite que separa a las poblaciones del continente africano y europeo. El objetivo es señalar, por medio de la teoría psicoanalítica, el carácter contingente del racismo como mecanismo adscrito a su identidad nacional, además de constatar su fracaso como afluente y como límite de su condición simbólica y libidinal.

Situational determinants of enhanced public view monitor (ePVM) noticeability in retail environments: a randomized controlled trial

External theft is a pervasive phenomenon, resulting in billions of dollars of lost revenue for US retailers each year (in: Retail Knowledge, Retail Fraud Survey, 2015, Volumatic, Norwich, 2015). As retailer competition continues to stiffen, and profit margins decrease, retail loss practitioners have turned to situational crime prevention (SCP) techniques to proactively mitigate shoplifting. While repeated studies have demonstrated both the efficacy of Enhanced Public View Monitors (ePVMs) for minimizing deviant behavior, and positive return on investment (ROI) for this technology, there has been little research on how situational deployment factors influence the deterrent impact of these technologies. This study examines five situational deployment, or dosing, factors that may influence ePVM efficacy in a retail environment. Our results conclude display height and border color were significant factors influencing noticeability of ePVMs by offenders. Additionally, there was an interaction between display height and sound. Signage and blinking lights were not significant influences on noticeability. Our findings suggest that situational factors are important determinants of security technology noticeability in retail environments.

Traffic sign recognition based on color, shape, and pictogram classification using support vector machines

Traffic sign recognition is the second part of traffic sign detection and recognition systems. It plays a crucial role in driver assistance systems and provides drivers with crucial safety and precaution information. In this study, the recognition of the TS is performed based on its border color, shape, and pictogram information. This technique breaks down the recognition system into small parts, which makes it efficient and accurate. Moreover, this makes it easy to understand TS components. The proposed technique is composed of three independent stages. The first stage involves extracting the border colors using an adaptive image segmentation technique that is based on learning vector quantization. Then, the shape of the TS is detected using a fast and simple matching technique based on the logical exclusive OR operator. Finally, the pictogram is extracted and classified using a support vector machines classifier model. The proposed technique is applied on the German traffic sign recognition benchmark and achieves an overall recognition rate of 98.23%, with an average computational speed of 30 ms.

The role of (ACES) color space in controlling the color quality of digital cinema image.

Over the last decade of the technological evolution appeared a number of Digital Color Spaces which are used to express color values for digital cinematic image, These digital color spaces are used in digital cinematography stage, they are also used in digital cinema projection stage. At the end of 2013, has been innovating the (ACES) digital color space, which enjoy advantages in its colorimetric values approached the color vision of the human eye vision, this made (ACES) able to work in parallel with the stages of digital photography and digital cinema projection. This requires the study of (ACES) digital color system and comparing it with the digital color systems previously used before the advent of (ACES) to determine the importance of the (AECS) digital color space in controlling the quality of the digital cinematic image. Objectives: The research aims to study the advantages and the color borders of (ACES) digital color space, and compare it with the color borders of the digital color spaces previously used before (ACES) appearance to determine the extent of its importance in controlling the quality of the digital cinematic image, both in digital cinematography stage or in digital cinema projection stage. Methodology: The researchers followed the descriptive method to describe the features and capabilities and color border of ACES digital color space and its uses at the stages of digital photography and digital projection in order to control the final image quality of digital cinema image before it is being presented and projected. Results: • ACES digital color space is the perfect color system optimized to handle film's technology production in parallel at the stages of digital photography and digital projection. • By studying the color boundaries of ACES digital color system, which strongly approaches the limits of the color vision of the human eye we can substitute (ACES) with the digital color spaces (Rec.709), (Rec.2020) which are used in digital cinematography stage, also we can substitute (ACES) with the digital color spaces (YCbCr), (DCI-P3) which are used in digital cinema projection stage.

Combat PTSD and Implicit Behavioral Tendencies for Positive Affective Stimuli: A Brief Report.

Background: Prior cognitive research in posttraumatic stress disorder (PTSD) has focused on automatic responses to negative affective stimuli, including attentional facilitation or disengagement and avoidance action tendencies. More recent research suggests PTSD may also relate to differences in reward processing, which has lead to theories of PTSD relating to approach-avoidance imbalances. The current pilot study assessed how combat-PTSD symptoms relate to automatic behavioral tendencies to both positive and negative affective stimuli.Method: Twenty male combat veterans completed the approach-avoidance task (AAT), Clinician Administered PTSD Scale, Beck Depression Inventory-II, and State-Trait Anger Expression Inventory-II. During the AAT, subjects pulled (approach) or pushed (avoid) a joystick in response to neutral, happy, disgust, and angry faces based on border color. Bias scores were calculated for each emotion type (avoid-approach response latency differences). Main and interaction effects for psychological symptom severity and emotion type on bias score were assessed using linear mixed models.Results: There was a significant interaction between PTSD symptoms and emotion type, driven primarily by worse symptoms relating to a greater bias to avoid happy faces. Post hoc tests revealed that veterans with worse PTSD symptoms were slower to approach as well as quicker to avoid happy faces. Neither depressive nor anger symptoms related to avoid or approach tendencies of emotional stimuli.Conclusion: Posttraumatic stress disorder severity was associated with a bias for avoiding positive affective stimuli. These results provide further evidence that PTSD may relate to aberrant processing of positively valenced, or rewarding stimuli. Implicit responses to rewarding stimuli could be an important factor in PTSD pathology and treatment. Specifically, these findings have implications for recent endeavors in using computer-based interventions to influence automatic approach-avoidance tendencies.

The Stroop and Reverse Stroop Effects as Measured by an Interactive Tabletop

An interactive tabletop equipped with RFID technology implemented the Stroop and reverse-Stroop tasks. Participants moved a tangible object into one of four displayed virtual zones, which were identified either by a color border or the name of a color written in black. The correct target zone corresponded either to the color (Stroop) or meaning (reverse Stroop) of a word displayed in congruent or incongruent colored LED lights (e.g., “YELLOW” displayed in yellow or red, respectively). Participants took more time to place the object in a zone, made more errors, and found the task more difficult when the word was lit with an incongruent than congruent color. This interference was influenced by both the types of task and response zone in a way that fits with a dual step processing account. Results also showed that the outcomes of the conflicting information streams might be judged as fun.

The event-related potentials study on positive emotional Stroop effect in male subjects

Objective To study the mechanism underlying attentional biases toward event-related potentials (ERPs) in healthy male subjects. Methods 18 male healthy subjects performed emotional stroop task by pressing the buttons to the picture border color of two categories including the neutral and positive. The RT and Accuracy were recorded automatically. The ERPs were recorded by Neuroscan system. Results The behavioral results showed that neither the reaction time(628.11±55.46)ms vs(628.81±53.92)ms nor accuracy (96.87±4.42)% vs (95.76±7.41)% found difference under two conditions. ERPs results showed that the positive pictures evoked more greater P2 ((8.16±4.99)μV vs (4.30±3.83)μV) and P3 ((6.31±4.53)μV vs (4.27±4.16)μV) than neutral pictures. Conclusion Attentional biases toward positive emotion can be found in healthy male subjects, which can be related to emotional control process. Key words: Event-related potentials; Positive emotional; Stroop; Attention bias

Early melanoma diagnosis with mobile imaging.

We research a mobile imaging system for early diagnosis of melanoma. Different from previous work, we focus on smartphone-captured images, and propose a detection system that runs entirely on the smartphone. Smartphone-captured images taken under loosely-controlled conditions introduce new challenges for melanoma detection, while processing performed on the smartphone is subject to computation and memory constraints. To address these challenges, we propose to localize the skin lesion by combining fast skin detection and fusion of two fast segmentation results. We propose new features to capture color variation and border irregularity which are useful for smartphone-captured images. We also propose a new feature selection criterion to select a small set of good features used in the final lightweight system. Our evaluation confirms the effectiveness of proposed algorithms and features. In addition, we present our system prototype which computes selected visual features from a user-captured skin lesion image, and analyzes them to estimate the likelihood of malignance, all on an off-the-shelf smartphone.

44.2: 512PPI Mobile Displays with High Aperture Ratio, Slim Border, and High Color Gamut

AbstractWe demonstrated a 512PPI mobile display with slim border (0.65mm) and high color gamut (95% NTSC). Contrast to conventional design, high aperture design (>60%), new scan drivers, and a new back‐light source were integrated to realize these features.

Early diagnosis for cutaneous malignant melanoma based on the intellectualized classification and recognition for images of melanocytic tumour by dermoscopy

Background: In recent years, the morbidity of Melanocytic Tumor, especially Cutaneous Malignant Melanoma, has been increasing year by year. Cutaneous Malignant Melanoma has been the most fatal skin disease owing to its high malignant level and proneness to metastasis. It is of great importance to establish the intellectualized classification and recognition for Melanocytic Tumor in the yellow race, in order to realize the early diagnosis and reduce the mortality for Cutaneous Malignant Melanoma. Methods: We adopted the polarized-light dermoscopy image technology; acquired the images of Melanocytic Tumor from the yellow race in a non-invasive way; proposed the algorithms of adaptive clustering segmentation and feature extraction; quantificationally analyzed the six features of Melanocytic Tumor images, including its asymmetry, eccentricity, border depressed rate, uniformity of radiation in transition area, color diversity and texture correlation; realized the classification and intellectualized recognition for benign or malignant Melanocytic Tumor, with the combined neural network classifier; verified the results by histopathology and statistical analysis. Results: Among the 642 images, the benign ones accounted for 82.4%, the malignant ones 17.6%. The sensitivity and the specificity of uniformity of radiation in transition area, texture correlation, border depressed rate and color diversity were from 86.73% to 95.58%, and from 97.3% to 100% respectively, which showed relatively high performance. The sensitivity and the specificity of asymmetry and eccentricity were from 41.59% to 47.78%, and from 69.91% to 76.99% respectively, which showed relatively low performance. The average classification accuracy for benign and malignant Melanocytic Tumor reached 93.65% by the multiple independent neural network classifiers, the difference of which was significant by chi-square test ( χ 2 = 4.51, P ＜0.05). Conclusions: The polarized-light dermoscopy analysis technology is able to realize the feature classification and automatic recognition for benign or malignant Melanocytic Tumor in a non-invasive way. It will lay foundations for solving the key problem of early diagnosis and intellectualized recognition for Cutaneous Malignant Melanoma in the yellow race.