Colored Matrices Research Articles

Getting up for brain health: Association of sedentary behavior breaks with cognition and mental health in children

Children spend most of their waking hours sedentary and reducing this behavior has been challenging. Interrupting prolonged episodes of sedentary behavior with active breaks can provide mental and cognitive health benefits. Considering the multifactorial nature of these health aspects, this study aimed to verify the role of body mass index (BMI), cardiorespiratory fitness (CRF), and moderate to vigorous physical activity (MVPA) in the relationship between the break in sedentary time with cognitive and mental health in children. This is a cross-sectional study with 129 children (62 boys), aged between 6 and 11 years (mean 8.73 ± 1.53) from a public school in southern Brazil. For the assessment of fluid intelligence, psychologists applied Raven’s Colored Progressive Matrices test. Mental health was measured using the Strengths and Difficulties Questionnaire. Sedentary breaks were measured using accelerometers, and CRF was determined using the 6-min walk test. Generalized linear regression analyses were used to verify associations of sedentary breaks with fluid intelligence and mental health, according to children’s BMI, CRF, and MVPA. All models were adjusted for sex, age, somatic maturation, and total time of accelerometer use. Our results indicated that sedentary breaks were associated with fluid intelligence in overweight/obese (β = 0.108; p = 0.021) and physically inactive children (β = 0.083; p = 0.010). Regarding mental health, no association was identified with sedentary breaks. In conclusion, sedentary breaks should be encouraged for the benefits of fluid intelligence, especially in children who do not meet physical activity recommendations and are overweight.

Методика «Эталоны» для оценки развития восприятия современных старших дошкольников (действие отнесения к эталону)

<p>Adaptation and standardization of the “Standards” test from a set of mental development diagnostic methods for preschool children (L.A. Venger and co-workers) were carried out, aimed at assessing the level of development of the action of comparison with the standard for older preschoolers. Two groups of children took part in the study: 1062 children aged 5-6 years (average age 66±3 months) and 1574 children aged 6-7 years (average age 77±3 months). Both versions of “Standards” test (for six- and seven-year-old children) showed good internal consistency (Cronbach's alpha=0,80-0,88; SRMR=0,02; CFI=0,99 for both samples). External validity is confirmed by correlations with intellectual development level, measured by Raven's Colored Progressive Matrices test (r=0,51 for children of the sixth year of life and r=0,39 for children of the seventh year of life). No differences were found by gender or the presence of disabilities. Age norms for modern children for the action of comparison with the standard have been determined. An adapted version of the test can be used by psychologists for scientific and practical purposes, to accompany the educational process that promotes the development of perception in children of senior preschool age.</p>

Investigating the Relationship between Non-verbal Intelligence and Adaptive Behavior in Hearing Impaired Children

The present study intended to find out the relationship between nonverbal intelligence and adaptive behaviors in children with pre-lingual and post-lingual hearing loss. A total of 200 hearing impaired children were purposively selected from Government Special Education institute in district Khanewal who aged between 6 to 11 years. The Vineland Adaptive Behavior Scale, and Raven’s Colored Progressive Matrices were used to collect the data from participating hearing impaired children. Results showed that intelligence has significant positive relationship with daily living and motor skills, and significant negative relationship with communication and socialization skills. The independent samples t test revealed a significant difference in prelingual and post lingual children in intelligence levels with little effect size. Further, the prelingual children showed more motor behavior as compared to children in post lingual group. It is important to gather a wide range of data on adaptive behavior and intelligence, including information on performance in various contexts, from various sources, and using varied techniques.

CHARACTERIZATION AND CLASSIFICATION OF SOILS DEVELOPED ON COASTAL PLAIN SOILS FOR CROP PRODUCTION IN ORON LGA, SOUTH- SOUTH, NIGERIA

Soils are characterized and classified based on its unique properties. Detailed characterization of four representative areas of Oron coastal plain soils in South –South, Nigeria was carried out. Soil samples were collected from pedogenic horizons of soils in four sampling sites. Routine analysis of soil properties was carried out in the laboratory with standard laboratory procedures. Soil data was subjected to descriptive statistics using statistical analytical system. The soils have a deep well drafted profile of about deep 200 cm. The soil texture varied in areas ranging from loamy sand to sandy loam, sandy and sandy clay loam while bulk density increased down the natural horizons. The pH varied between moderately acidic to strongly acidic in the soils of the study area. The morphology of soils ranged in various colour matrix of hues (10-7.5) and Chroma values (1-8) in all horizons. The soils were characterized by Dark Brown (10YR3/3), Dark Greyish Brown (10YR4/2) and Yellowish Brown (10YR 5/4) to Grey (7.5YR6/2). The soils had low concentrations of exchangeable cations (Ca, Mg, Na and K). The Coefficient of variation (CV%) values ranged from 0.74 to 91.6 in Ca, Mg, Na and K. All the parameters in the soils of the study area showed low and medium mean values except soils of Esin Ufot1 and 2 which showed high mean values of Na with Esin Ufot 2 having the highest mean value of sodium to be 0.18 Cmol/kg. Suborder soils were classified as Grossarenic Kandiaqualfs (CEC > 16 Cmol/kg) for Esin Ufot1.Esin Ufot2, Esuk Oron1 while Esuk Oron 2 were classified as Typic Kandaquults (CEC < 16 Cmol/kg). A great importance in providing adequate data to enable right decision taking in the choice of site for developmental projects and crop production.

A Study on the Effects of Memory Training and Speech Processing Intervention on Children's Working Memory and Speech Skills: Based on the Perspective of Brain and Cognitive Science

The present study examined the effect of phonological processing and working memory intervention on the verbal working memory and phonological skills of children with Specific reading disorders. Ten participants between 7 to 10 years of age who met ICD 10 criteria for specific reading disorders, were assigned to an experimental group, or a control group. Intelligence screening was done using the Colored Progressive Matrices. Pre - test and post - test measures were the Test of Memory for Children (TOMC) and Informal Reading Assessment (IRA). The intervention group received 30 sessions of phonological processing intervention and working memory intervention. The control group received no intervention. Post - test assessments included TOMC and IRA. Participants who had received the intervention showed more improvement than controls. The majority of the participants in the experimental group performed higher post - intervention.

Stain SAN: simultaneous augmentation and normalization for histopathology images.

We address the need for effective stain domain adaptation methods in histopathology to enhance the performance of downstream computational tasks, particularly classification. Existing methods exhibit varying strengths and weaknesses, prompting the exploration of a different approach. The focus is on improving stain color consistency, expanding the stain domain scope, and minimizing the domain gap between image batches. We introduce a new domain adaptation method, Stain simultaneous augmentation and normalization (SAN), designed to adjust the distribution of stain colors to align with a target distribution. Stain SAN combines the merits of established methods, such as stain normalization, stain augmentation, and stain mix-up, while mitigating their inherent limitations. Stain SAN adapts stain domains by resampling stain color matrices from a well-structured target distribution. Experimental evaluations of cross-dataset clinical estrogen receptor status classification demonstrate the efficacy of Stain SAN and its superior performance compared with existing stain adaptation methods. In one case, the area under the curve (AUC) increased by 11.4%. Overall, our results clearly show the improvements made over the history of the development of these methods culminating with substantial enhancement provided by Stain SAN. Furthermore, we show that Stain SAN achieves results comparable with the state-of-the-art generative adversarial network-based approach without requiring separate training for stain adaptation or access to the target domain during training. Stain SAN's performance is on par with HistAuGAN, proving its effectiveness and computational efficiency. Stain SAN emerges as a promising solution, addressing the potential shortcomings of contemporary stain adaptation methods. Its effectiveness is underscored by notable improvements in the context of clinical estrogen receptor status classification, where it achieves the best AUC performance. The findings endorse Stain SAN as a robust approach for stain domain adaptation in histopathology images, with implications for advancing computational tasks in the field.

COULD EARLY LITERACY SCORES AFFECT THE DIAGNOSIS OF SPECIFIC LEARNING DISORDER IN CHILDREN AT RISK

Background and objectives: The aim of this study was to evaluate the early literacy skills of pre-school children at risk of Specific Learning Disorder (SLD) by comparing Test of Early Literacy (TEL) scores between three groups including the siblings of children with SLD, children with speech disorder and healthy controls. Methods: Children between the age of 60-72 months were recruited. The total number of participants was 81. A sociodemographic Data Form, the Colored Progressive Matrices Test (CPM) and TEL were applied to all participants. Results: A significant difference was determined between the performance of the three groups in all sub-tests of TEL. The children with speech disorder displayed the worst score in all sub-tests except vocabulary; this was followed by the siblings of children with SLD while the control group displayed the highest scores. Conclusion: The current study is the first investigating the TEL scores of pre-school children using a transparent language like Turkish at risk of SLD. The risky group with a language disorder showed the worst performance in almost all subtests examined. It is critical to start interventions early, assuming that this group will be at highest risk in the future.

Content-Dependent Image Search System with Automatic Weighting Mechanism for Aggregating Color, Shape, and Texture Features

The existing image search system extracts features from the database images and performs queries thoroughly without considering the weight of each feature. Currently, all features are assigned the same weight, even though each image has different characteristics. This study proposes a new approach to image search systems that relies on content with automatic weighting. The automatic weighting process starts by calculating each moment. The first moment is obtained from the color matrix and is calculated as the average value. The second moment is obtained from the texture matrix and is calculated as the variance value. The third moment is obtained from the shape matrix and is calculated as the skewness value. These three moments are normalized to give the same weight to each feature for each picture. The results obtained for accuracy were: 70.38% for color, 60.99% for shape, 71.21% for texture, 72.65% for color-shape combinations, 78.43% for color-texture combinations, 72.65% for texture-shape combinations, and 80.5% for overall texture-color-shape features.

Soil Color Comparison Using Munsell Soil Color Chart and Calibrated Smartphone Camera

Soil color is a crucial property in soil fertility assessment and monitoring. However, the subjective nature of the Munsell Soil Color Chart (MSCC) can lead to uncertainty in the analysis. To address this issue, a study was conducted to develop a soil color classification model from smartphone digital imagery based on color analysis and MSCC. The study involved taking 26 soil samples from various soil types and locations in the Special Region of Yogyakarta, Indonesia. Digital images of the soil were taken through a smartphone camera and compared with observations using MSCC to compare color differences (ΔE) based on Lab values. Soil images obtained from indoor studio conditions and calibration using spydercheckr in indoor and outdoor conditions are compared with MSCC and Chromameter values. The L*a*b color space was found to be superior to RGB for predicting and detecting small differences in color. The study also found that the Munsell soil color chart (MSCC) had a lower color difference than the chromameter in all lighting conditions, indicating that the MSCC or visual assessment can better detect the main soil color or soil matrix, while chromameter readings may have errors due to soil impurities.

Effect of a Reading Intervention on Reading Ability among Children with Specific Reading Disorder

The present study examined the effect of a reading intervention on the reading ability of children with specific reading disorders Ten participants between 7 to 10 years of age who met ICD-10 criteria for specific reading disorder were randomly assigned to an experimental group, or a control group. Intelligence screening was done using the Colored Progressive Matrices. Pre-test and post-test assessment was conducting using the NIMHANS Index for SLD. The intervention group received an 8–9-week reading intervention, 30 minutes per day, on every alternative day of the week. The control group received no intervention. Participants who had received the intervention showed more improvement in reading than controls, and these gains were maintained in a follow up assessment. The majority of the participants in the experimental group performed at their expected grade level on the reading test of NIMHANS SLD post-intervention.

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

RAW to sRGB mapping, which aims to convert RAW images from smartphones into RGB form equivalent to that of Digital Single-Lens Reflex (DSLR) cameras, has become an important area of research. However, current methods often ignore the difference between cell phone RAW images and DSLR camera RGB images, a difference that goes beyond the color matrix and extends to spatial structure due to resolution variations. Recent methods directly rebuild color mapping and spatial structure via shared deep representation, limiting optimal performance. Inspired by Image Signal Processing (ISP) pipeline, which distinguishes image restoration and enhancement, we present a novel Neural ISP framework, named FourierISP. This approach breaks the image down into style and structure within the frequency domain, allowing for independent optimization. FourierISP is comprised of three subnetworks: Phase Enhance Subnet for structural refinement, Amplitude Refine Subnet for color learning, and Color Adaptation Subnet for blending them in a smooth manner. This approach sharpens both color and structure, and extensive evaluations across varied datasets confirm that our approach realizes state-of-the-art results. Code will be available at https://github.com/alexhe101/FourierISP.

Soft, hard, and digital skills for managers in the digital age: Business requirements and the need to master them

Digitalisation in Ukraine and the world changes products, services, and business processes, affecting the number and quality of jobs due to the need for digital skills. Employers are requiring new skills from candidates in job profiles for existing managerial positions. The purpose of this study was to investigate the impact of soft skills, hard skills, and digital skills on managers in the era of digitalisation based on the analysis of business requirements. The following methods were used: theoretical generalisation and comparison (disclosure of the content of each group of skills), analysis (skills most frequently and most demanded by employers), statistical method (summary and grouping of data collected from the job search portal), synthesis (combination of different types of information), and concretisation (identification of problems in the legislative and regulatory framework of Ukraine). The study established the ratio of skill groups in the analysed positions: sales manager, HR manager, and logistics manager mainly need the following skill groups: soft and hard, but to varying degrees. Soft skills are essential for the positions of sales manager and HR manager, while hard skills prevail for the position of logistics manager. Only project managers need hard skills and digital skills because of their specificity. To provide a better understanding and visualisation of complex information about competencies or skill levels, the authors first introduced a “three-zone competency stoplight” and a colour matrix of the result of soft, hard, and digital skills requirements of employers by position. Three skills groups are proposed to be represented in different colours: orange (soft), pink (hard), and green (digital), which will allow businesses to use this visualisation to see the zones that correspond to their job offers and understand what skills they will require from candidates for the relevant position and to what extent. The practical significance of the study is the possibility of using its results in the development of educational programmes for planning the development of necessary disciplines

Teaching Mathematics based on Integrating Reading Strategies and Working Memory in Elementary School

This study strived to determine the effectiveness of integrative teaching of reading strategies and working memory on basic math and problem-solving skills. It is a quasi-experimental pretest-posttest study carried out on 50 second-graders from Chahashk Shandiz village in the academic year of 2020-2021 who were randomly selected by cluster sampling and randomly divided into experimental and control groups. The intervention was performed by cellphone software through virtual education in two steps. The experimental group underwent integrative training for 20 sessions, but the control group did not receive any intervention. Colored Progressive Matrices (1956) and a researcher-made story problem-solving and arithmetic skills test were used to collect data. Descriptive statistics (mean and standard deviation) and one-way multivariate analysis of covariance were used to analyze the data. The results showed that the integrative teaching of reading strategies and working memory enhanced the basic math skills, with an effect size of 0.67 in second-grade elementary students (P<0.001). According to the results, integrative teaching improved students' problem-solving skills but did not affect their skills in arithmetic operations. Therefore, second-grade elementary teachers can use this method to enhance their story problem-solving skills. Keywords: integrative teaching, reading strategies, working memory, basic math skills

FPGA realization of an image encryption system using the DCSK-CDMA technique

This paper describes a four-wing chaotic oscillator-based DCSK-CDMA modulation technique for image encryption and decryption. The system consists of a transmission module for the encrypted and modulated color matrices, and a reception module for the decrypted and demodulated original data. Among our main contributions is the integration for the first time in the state of the art of DCSK chaotic modulation techniques with the CDMA communication scheme, as well as the implementation of our DCSK and CDMA algorithms in VHDL language for Xilinx FPGA cards. The DCSK-CDMA technique enables demodulation and decryption without any loss in the original data. Other contributions arising from this investigation are the encryption process implemented using DCSK-CDMA techniques based on a four-wing chaotic oscillator and the realization on the FPGA of a chaos-based communications system for the secure transmission of images of grayscale and RGB formats using DCSK-CDMA techniques. The system architecture in this work was designed using fixed-point binary arithmetic, with the application of the 4th order Runge–Kutta numerical method for the four-wing chaotic oscillator. The analysis of the correlation coefficients between the original and encrypted information indicates the values of 5.367×10−4 and −2.205×10−7 for grayscale and RGB images, respectively, with a full recovery of the original information. The results of simulations in MATLAB/Simulink coincide with the implementation of the complete system in VHDL on the Xilinx Artix-7 AC701 board.

How Do Children "Think outside the Box"? Fluid Intelligence and Divergent Thinking: A Moderated Mediation Study of Field Dependent-Independent Cognitive Style and Gender.

The interplay between fluid intelligence (Gf) and divergent thinking (DT) has widely characterized current research in the psychology of creativity. Nevertheless, the evidence on the main factors involved in this association during childhood remains a matter of debate. Present research has addressed the interplay between Gf and DT, exploring the mediating role of a field dependent-independent cognitive style (FDI) and the moderating effect of gender in 101 children (Mage = 8.02; SDage = 1.43). Participants carried out Raven's Colored Progressive Matrices, the Children Embedded Figure Test, and the Alternative Uses Task. The results revealed the mediating effect of FDI in the association between Gf and DT, providing evidence that this cognitive style represents a function of controlled mental processes underpinned by Gf, which are useful to thinking divergently. In addition, the findings reported that the interplay between FDI and DT was moderated by gender, suggesting that the impact of FDI on DT was stronger among boys. Through a multidimensional approach, these current research findings provide further insight into the primary children's factors involved in the ability to find alternative solutions and think divergently.

Colored Bosonic models and matrix coefficients

Colored Bosonic models and matrix coefficients

Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato.

In sweet potato and potato, sensory traits are critical for acceptance by consumers, growers, and traders, hence underpinning the success or failure of a new cultivar. A quick analytical method for the sensory traits could expedite the selection process in breeding programs. In this paper, the relationship between sensory panel and instrumental color plus texture features was evaluated. Results have shown a high correlation between the sensory panel and instrumental color in both sweet potato (up to r = 0.84) and potato (r > 0.78), implying that imaging is a potential alternative to the sensory panel for color scoring. High correlations between sensory panel aroma and flavor with instrumental color were detected (up to r = 0.66), although the validity of these correlations needs to be tested. With instrumental color and texture parameters as predictors, low to moderate accuracy was detected in the machine learning models developed to predict sensory panel traits. Overall, the performance of the eXtreme Gradient Boosting (XGboost) was comparable to the radial-based support vector machine (NL-SVM) algorithm, and these could be used for the initial selection of genotypes for aromas and flavors (r 2 = 0.64-0.72) and texture attributes like moisture or mealiness (r 2 > 50). Among the chemical properties screened in sweet potato, only starch showed a moderate correlation with sensory features like mealiness (r = 0.54) and instrumental color (r = 0.65). From the results, we can conclude that the instrumental scores of color are equivalent to those scored by the sensory panel, and the former could be adopted for quick analysis. Further investigations may be required to understand the association between color and aroma or flavor.

Assessment of the impact of neuro-linguistic programming on primary Schoolchildren's intellectual capacity

BackgroundLebanon's education system confronts significant obstacles from political instability, economic downturns, and inequalities among children, underscoring the urgency for interventions like Neuro-Linguistic Programming (NLP). This study posits that NLP techniques hold promise in equipping students with the tools to surmount these hurdles and enhance their intellectual capabilities. ObjectiveThis study examines the influence of NLP on the intellectual capacity and abstract reasoning skills of primary school children aged 6 to 11. MethodsOver four months, from April to July 2023, a before-and-after intervention study was conducted. The study involved children from a private urban school in Lebanon, and the Raven's Colored Progressive Matrices test was individually administered to assess their intellectual abilities. This test was administered before and after the NLP intervention, which comprised four sessions for teachers and one for students. ResultsThe study involving 121 students (60.0% females, 40.0% males), indicated significant enhancements in performance, particularly among older students aged 8 to 11. Notable increases in mean scores were observed, such as 8-year-olds improving from 8.95 to 9.36 and 11-year-olds experiencing a significant boost from 6.86 to 12.69. Connectivity analysis revealed positive relationships between students' age and performance, with correlation coefficients of 0.328 before and 0.633 after the intervention. Similarly, strong correlations between grade level and performance were evident, with coefficients of 0.385 before and 0.716 after the intervention, both statistically significant (p < 0.001). Comparisons of intellectual abilities among students showcased more significant improvements among older age groups, emphasizing the potential benefits of NLP, particularly for students between 9 and 11 years old. ConclusionThe NLP intervention yielded notable enhancements in children's academic performance, particularly demonstrating a more pronounced positive effect among those aged 8 and older. Despite weaker correlations with parental factors, the study underscores the promising impact of NLP interventions on cognitive development, particularly among older students. As a cost-effective technique, NLP can be implemented with minimal resources, increasing accessibility even in resource-constrained environments.

Ab. No. 93 Prevalence of Learning Disability in School-Going Kids of Government School in District Patiala, Punjab

Introduction: The purpose of the study is to determine the prevalence of learning disability in school-going children from the IIIrd –Vth class of government schools by using the Learning Disability Diagnostic Inventory (LDDI). The study contributes to expanding the role of physiotherapy in multidisciplinary teams by fostering effective therapeutic approaches to promote balanced development of children with learning disability. Methods: A total of 80 students belonging to the class III-V between the 8-11 years of age group from different government schools were selected as participants in the present study. Methods: The study was conducted using convenience sampling method. A detailed questionnaire was used to document each student’s academic performance. The students were then subjected to a series of assessments, including visual auditory perception tests and an IQ based (Colored Progressive Matrices) CPM test followed by LDDI filled by the teacher of each student. The data was analysed through descriptive statistics and inferences. Results: The findings of the study were that out of total 80 students the prevalence of Learning Disability in Writing domain constitutes (10%), Reading (7.5%), Speaking (21.25%),Reasoning (6.25%),Listening (25%), Arithmetic disability (8.75%). Students of primary class IIIrd-Vth were at higher risk of learning disability in government schools. Conclusion: The study concluded that the learning disability is more prevalent in early aged students between age of 8-11. Institutional based educational strategies are required for appropriate modifications in education and teaching techniques. Implications: The present study helps in making early diagnosis of learning disability at school level and further widens the spectrum for planned effective therapeutic interventions to enhance the academic performance of students with learning disability and enhance the overall quality of life.

Влияние режимов копчения на формирование цвета колбасных плавленых сыров

The research established the effect of temperature and smoking time on the color of dairy products with a milk fat substitute, i.e., cheese sausages. It resulted in a color matrix that determines the relationship between the smoking mode and the dynamics of the color spectrum. The article introduces a gradient model of color changes that makes it possible to program the surface color of the finished product in accordance with consumer preferences