Reviewerly/exHarmony huggingface dataset:
BUDDHIST SNAKES LADDERS PORTABLE AS LEARNING MEDIA FOR BUDDHIST SUNDAY SCHOOL'S STUDENTS

This study aimed to develop a game of snakes and ladders as a learning media through the 4-D Thiagarajan model (Define, Design, Development, and Disseminate). This study's data was collected using an interview guide and questionnaires. The data was analyzed using Aiken's V, Gregory, and descriptive statistics. Aiken's V analysis showed that all of the questions were valid. Gregory's analysis showed that the game's manual book had an excellent readability level with an interrater agreement index of 0.857. The test results showed that the games developed were practical and can be used as learning media.
High Performance Si Photonics Devices and InP/EO Polymer Hybrid Optical Modulator for Data Communication and Computing

Si and InP/EO polymer hybrid optical modulators (HMOD), and Ge photodetectors are studied. We demonstrated 112Gbps-PAM4 high-speed optical modulation and photodetection. We also propose efficient optical neural network with slow light effect by InP/EO polymer HMOD.
[Zoning and Safe Utilization Method of Heavy Metal Contaminated Cultivated Land at Block Scale].

The safe use of arable land is one of the important measures to ensure food security and to realize the construction of ecological civilization. In order to solve the problem of blindly selecting technical measures in the process of safe use and restoration of pollution-risk cultivated land, 244 surface soil samples and 100 sets of rice-root soil samples were collected in Echi Town, Qianjiang District, Chongqing. Based on the contents of five heavy metals of Cd, Hg, Pb, As, and Cr, as well as soil oxides, organic matter, and pH and other indicators, a prediction model was established using multiple regression and geostatistical analyses, and the plots were assigned values, combined with the soil and soil in the plots. The total amount of heavy metals in the rice, the available content of heavy metals in the soil, and the pH of the soil guided suggestions for the safe use of cultivated land at the corresponding plot scale. The results showed that the soil in the study area was mainly and strongly acidic. The percentages of Cd exceeding the soil pollution risk screening value and control value were 33.61% and 2.05%, respectively. The effective content of Cd accounted for 60%, and the Cd exceeding rate of rice was 28%. There was an obvious ecological risk of Cd in the study area. The available Cd content of the soil was mainly affected by the total amount of soil Cd and pH. The enrichment of Cd in rice was mainly affected by the content of soil organic matter, Mn, and CaO. The zoning results showed that the priority protection category of the soil in the study area accounted for 59.30%; the safe use category accounted for 40.44%, of which safe use (IAa), safe use (IAb), safe use (IBa), safe use (IIAa), safe use (IIAb), and safe use (IIBa) accounted for 19.49%, 8.01%, 1.43%, 7.04%, 1.41%, and 3.06%, respectively; and strict control accounted for 0.26%. This method combined the safety risks of soil and agricultural products and aided formation of specific recommendations for safe use, which provided a method of reference for the safe use of contaminated farmland in accordance with local conditions.
THE ROLE OF SELF-CARE IN THE DEVELOPMENT OF EMPATHY OF FUTURE PSYCHOLOGISTS

The article is devoted to the problem of empathy and its development in future psychologists. It is noted that empathy, as the ability to understand the inner world of another person, and sympathize with him or her, is one of the most important professional qualities for psychologists and one of the factors of the success of their professional activity. However, an excessive empathic concern may be a risk factor for burnout. It was found that psychologists can use 5 forms of empathic response in their work: understanding, challenge, research, assumption, and interpretation. These forms of response require the use of cognitive thinking processes and are more like a skill that can be developed and trained. At the same time, the cognitive costs of empathy may force future psychologists to avoid it. As a result of the conducted empirical research, it was noticed that empathy is underdeveloped in future psychologists. It was found that 10.5% of final year students have a very low level of empathy, 36.8% have an undervalued level, 52.6% have an average level of empathy, and no student was found with a high level of empathy. The empathy scores of the final year students are lower compared to the 3rd and 2nd year students, which can be explained by the increased level of personal stress and anxiety of the graduates before their further life and professional trajectory. It was also found out that besides personal stress, the ability of empathic response is impaired due to the frequent sleep deprivation traced in students. Based on the theoretical analysis, it is substantiated that for the development of healthy empathy of future psychologists, which would not further lead to sensory overload and emotional exhaustion, self-care skills that are formed on the basis of self-awareness, mindfulness and self-reflection should become extremely important. These require vulnerability, which can cause feelings of insecurity and even shame. But it is vital for psychologists to recognize that their mistakes and failures are not special; or different from what they see in others when they show empathy and sympathy. Everyone experiences pain, loneliness, despair, and inadequacy, but only by sharing this as part of a shared humanity we can understand that we are not alone. The driving force behind the cultivation of empathy is the desire to develop empathy and the belief in the possibilities of its development.
Bayesian Statistics

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Conceptualizing D-Honeycomb Artificial Coral Reef Structure (DHARS) through Stoneware Ceramic Artwork

The Artificial Reef Structure D-Honeycomb (DHARS) is a study that reflects the design needs of natural coral reefs. It focuses on ceramic material (stoneware) that can invertebrate, penetrate and grow on natural corals. It will theoretically allow corals to bounce back faster with the structural analysis of Dual-Honeycomb. Overall, DHARS offers simple, effective and inexpensive design structures for artificial coral reefs that are important for the underwater environment and remote island communities where they need them for their habitat. Keywords: Stoneware ceramic; Artificial Coral Reef; Honeycomb eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3779
Happiness and Success

Being a music major can be demanding and can, at times, test the love a student has for the study of music. This chapter is designed to help students identify what is important to them, what characteristics they possess, and what characteristics they need to cultivate, in order to be successful. In this chapter, students will be guided first to identify their why for life. The chapter describes self-assessment techniques to identify personal values by which students make decisions about how to live their lives. Additional information about how to use their why to influence their daily behaviors is included. Finally, this chapter instructs students on strength assessment measures, and on combining their values and strengths to create a personal purpose statement. It is hoped that this statement will be the well to which they can return in order to reinvigorate themselves during challenging times. Questions for discussion and an assignment complete the chapter.
Expenses and Cost Determinants for Childcare and Private Education for Children

Objectives The purpose of this study is to investigate the status of expenses to use centers for education, childcare, and private education for children at the age of 0 to 6 to and analyze factors influencing expenditure for education.&#x0D; Methods We utilized data from the 7th Korean Longitudinal Survey of Women &amp; Families (KLoWF) in 2018 and collected data from 328 married women who have children under six year of age and responded to the question of whether they use childcare facilities or not. This study conducted descriptive statistical analysis, t-test, and F-test to examine the status of expenses of education, childcare, and private education for children. To analyze factors influencing their expenses for education, this study performed multiple regression analysis.&#x0D; Results According to the results, parents spend 158,800 won for education each month, and among that, 138,100 won is for childcare and 298,100 won is for private education. According to the results of multiple regression analysis, factors influencing their expenditure for education are found to be monthly average household income, the number of children and the first child age. When monthly average household income is higher, children are fewer and the first child age is older, they spend more money for education. Meanwhile, the age of a mother has positive correlation with educational expenditure; however, the influence is found to differ according to the models of analysis.&#x0D; Conclusions Based on the findings, this study has drawn several policy implications as follows. First, since the difference between household incomes results in a gap in education from early childhood, it is needed to improve supportive policy to provide extracurricular activities after school and give more opportunity of childcare services for the low-income group. Second, as children get older, the aspects of preliminary learning and caregiving before entering school should be approached; therefore, it is necessary to build up a system for making education in daycare centers and kindergartens public and developing after-school class such as caregiving class.
Analysis of Differences by Background Variables of College Students on Career Decision Making Self Efficacy, Career Preparation Behavior, and Career Decision Difficulty

Objectives The purpose of this study was to analyze the differences in career decision making self efficacy, career preparation, and career decision difficulty according to background variables(grade, gender, academic degree, and whether or not to take career courses) of college students. It might be to provide basic information for designing and operating career education programs suitable for college students.&#x0D; Methods The subjects of this study were 341 college students enrolled in community colleges and four-year colleges located in S-si and K-do. The data were collected and analyzed through career decision self-efficacy, career preparation behavior, and career decision difficulty test tools. The collected data were analyzed for differences between groups according to background variables of college students through one-way analysis of variance, Scheffe's post-test, and t-test.&#x0D; Results The results of the study were as follows: First, it was found that the career decision making self-efficacy of career decision differs significantly according to the grade, academic degree, major, and whether or not to college students took career courses. Second, it was found that the career preparation behavior differs significantly according to the degree, major, and whether or not college students took a career course. Third, it was found that there was no significant difference in the difficulty of career decision according to the background variables of college students.&#x0D; Conclusions Based on the results, factors for the difficulties in teaching the logic and essay course were analyzed, and improvement plans for more effective teaching were discussed. It is expected that this will serve as a basis for establishing the identity and direction of early childhood education curriculum.
An Analysis of the Teacher Aptitude and Character of Secondary School Pre-Service Teachers

Objectives The purpose of this study was to analyze the teacher aptitude and character test in-depth for the secondary school pre-service teachers and to derive implications for the pre-service teacher training programs.&#x0D; Methods The study analyzed the results of responses conducted for 5,026 cumulative students from 2018 to 2021 who completed teaching courses at A University’s a general college, a college of education, and a graduate school of education. Fundamental statistical analysis, one-way ANOVA, chi-square test, and Scheffé test were applied using Microsoft Excel 2016 and SPSS 23 for data processing.&#x0D; Results First, the annual average of the teacher aptitude and character test for pre-service teachers showed a significant increase. Second, among the 14 sub-areas of the teacher aptitude and character test, pre-service teachers showed the highest level in the sense of calling and teaching profession but the lowest in the sub-area of creativity and application ability. Finally, comparing the ratio of eligible pre-service teachers for the teacher aptitude and character test before and after the outbreak of COVID 19, the proportion of eligible teachers increased significantly in 2020 compared to 2019.&#x0D; Conclusions This study is meaningful in providing fundamental data for the development of more professional and practical pre-service teacher training programs in the future.
Combination of Feature Extractions for Classification of Coral Reef Fish Types Using Backpropagation Neural Network

Feature extraction is important to obtain information in digital images, where feature extraction results are used in the classification process. The success of a study to classify digital images is highly dependent on the selection of the feature extraction method used, from several studies providing a combination of feature extraction solutions to produce a more accurate classification.Â Classifying the types of marine fish is done by identifying fish based on special characteristics, and it can be through a description of the shape, fish body pattern, color, or other characteristics. This study aimed to classify coral reef fish species based on the characteristics contained in fish images using Backpropagation Neural Network (BPNN) method. Data used in this research was collected directly from Bunaken National Marine Park (BNMP) in Indonesia. The first stage was to extract shape features using the Geometric Invariant Moment (GIM) method, texture features using Gray Level Co-occurrence Matrix (GLCM) method, and color feature extraction using Hue Saturation Value (HSV) method. The third value of feature extraction was used as input for the next stage, namely the classification process using the BPNN method. The test results using 5-fold cross-validation found that the lowest test accuracy was 85%, the highest was 100%, and the average was 96%. This means that the intelligent model derived from the combination of the three feature extraction methods implemented in the BPNN training algorithm is very good for classifying coral reef fish.
Text Semantic Representation Based on Knowledge Graph Correction

Text semantic representation is the foundation of natural language processing tasks. Most existing text representation methods are based on the bag-of-words model to represent text composition. However, they ignore the textual semantics of phrases, which affects the performance of downstream natural language processing tasks. In this paper, we propose a Text Semantic Representation Method Based on Knowledge Graph Correction, called TRKGC. Firstly, we adopt PCFG and CKY methods to construct the parsing tree in units of sentences. Secondly, we traverse the parse tree according to the idea of hierarchical traversal to get the phrase representation of texts. Finally, we utilize the knowledge graph to correct text representation and improve text representation semantics. Extensive experiments on text classification and text clustering demonstrate that TRKGC outperforms baseline methods in terms of text semantic representation.
How emotional communication happens in social media: Predicting “Arousal-Homophily-Echo” emotional communication with multi-dimensional features

Pervasive emotional expression in cyberspace has increased uncertainties and brought challenges to governance. The occurrence mechanism of emotional communication can provide more ideas to tackle such problems. This study proposed the “Arousal-Homophily-Echo” model with multi-dimensional features as a frame of fine-grained research practice. The model divided Emotional Communication into three levels and we provided their definitions and measurements. Then we creatively combined machine learning and its interpretability to predict and explain how emotional communication happens. The data of the online public discussion on a representative incident was used to fit the prediction models, based on which we summarized important features and analyzed their influences. The optimal prediction models can be utilized to evaluate and monitor crisis communication in cyberspace, while the specific influences of important factors can guide the intervention strategies to alleviate adverse effects of emotional communication.
Designing An Innovative Technological Wearable Caftan By Arduni

The emerging technologies and the resulting innovative material approaches give rise to new potentials in the field of textile and fashion design and allow the development of creative products through the formation of new perspectives.Intelligent textiles are materials that respond to these stimuli when they are interfered with external influences such as force, temperature, heat, light, chemical reactions, electricity, and magnetic.In the development of wearable systems, the integration of information and communication technologies into a garment or fabric is the most important goal.In this study, about design, engineering, science and technology interdisciplinary collaborative or interdisciplinary electronic textiles, smart textiles, clothes with nanotechnology codes; The concept of fashion intertwined with technology, original application project and current fashion design issues were mentioned.A flexible led and sensor caftan was designed within the scope of the study.The unique design of the kaftan, the grandeur of the selected fabrics and the motifs used for ornaments are highly effective.From this point of view, the T-shape in the Ottoman kaftans in terms of model kaftan, which the author designed from this point, is similar in terms of being brit in front and long-flashy arms.On the other hand, the modern line that the kaftan has to carry in order to conform to the ceremonies in which it is worn in today's conditions is seen in the original design.The product design, in which technology and design are applied together, is revealed.
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules

We provide a reusability report of the method presented by Chen et al. in "Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks" and add further benchmarks on Max-Cut problems.
Opportunity Scoring

Based on your research, create a list of the desired user outcomes for your product to potentially deliver.
Visibility of Moodle applications in Central Asia: analysis of SEO

Search engine optimization (SEO) is an important tool that can predict the number of website visits, and good SEO strategies can help increase the visibility of educational resources. In the current article, the relevance between Search engine optimization (SEO) characteristics and the number of Moodle users in four Central Asian countries was examined. The analysis of learning management systems covered 38 Moodle websites. Analysis was conducted using semi-automated tools. Results suggested that although there is no difference in general SEO scores of Moodle installations, page structures and link structures in websites of different countries were dissimilar. Also, server configuration practices were different. In addition, there was a positive correspondence between the number of visits to a website and the number of external factors; the duration of users' visits was correlated with page structure. As for the normalized number of visits, the analysis revealed that in Kazakh universities, students use the Moodle system more frequently in a day than in other countries, while visits to Tajik universities' Moodle platforms were the lowest; the difference was 53 users per day.
Advances in Quality Assessment Of Video Streaming Systems

Quality assessment of video has matured significantly in the last 10 years due to a flurry of relevant developments in academia and industry, with relevant initiatives in VQEG, AOMedia, MPEG, ITU-T P.910, and other standardization and advisory bodies . Most advanced video streaming systems are now clearly moving away from good old-fashioned' PSNR and structural similarity type of assessment towards metrics that align better to mean opinion scores from viewers. Several of these algorithms, methods and tools have only been developed in the last 3-5 years and, while they are of significant interest to the research community, their advantages and limitations are not widely known in the research community. This tutorial provides this overview, but also focuses on practical aspects and how to design quality assessment tests that can scale to large datasets.
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary

Set-based face recognition (SFR) aims to recognize the face sets in the unconstrained scenario, where the appearance of same identity may change dramatically with extreme variances (e.g., illumination, pose, expression). We argue that the two crucial issues in SFR, the face quality and burstiness, are both identity-irrelevant and variance-relevant. The quality and burstiness assessment are interfered with by the entanglement of identity, and the face recognition is interfered with by the entanglement of variance. Thus we propose to separate the identity features with the variance features in a light-weighted set-based disentanglement framework.
Boosting quantum optics experiments with Bayesian optimization (Conference Presentation)

Manual optimization of experimental parameters can quickly become too complex and time-consuming if more than a few correlated parameters need to be adjusted. We discuss automating this process using Bayesian optimization. This machine learning-based method is particularly suitable because it can handle noisy measurements, performs a global search and requires relatively few experimental runs. We discuss the efficient, scalable implementation of Bayesian optimization, present practical applications for tuning experimental parameters, and compare it with other local and global heuristic methods to show its application range.