Reviewerly/exHarmony huggingface dataset:
The development and effectiveness of a course for improving the life tasks performance of first-year college students

Purpose: This study aimed to develop a course to improve the life tasks performance of first-year college students based on Adler’s Life tasks and test its effectiveness.&#x0D; Methods: In step 1, the overall five goals and detailed thirteen goals of the program were set established on Adler’s Life tasks. In step 2, the twenty-six learning contents were developed through a preliminary survey of eighty-six first-year college students and the validity evaluation of three experts. In step3, a pilot study was conducted with thirty-five first-year college students. In step 4, the course was finally developed through the evaluations of three experts. In step 5, the effectiveness of the course was evaluated. The sample was from sixty-nine first-year college students from K university of Korea. The sample was divided with thirty-six first-year college students for the treatment group and thirty-three first-year college students for the control group. The course to improve the life tasks performance of first-year college students for the treatment group was carried out for a total of 30 hours, divided into 15 sessions, with one session per week. To evaluate the effectiveness of the course, the Life Tasks Scale, Social Interest Scale, the Life Satisfaction Scale, and College Life Adaption Scale were used for pre-post test. The scale-score was analyzed by ANOVA.&#x0D; Results: The first-year college students who participated in the course developed for improving the performance of life tasks demonstrated significantly improved levels of life task performance, adaptation to college life, social interest, and life satisfaction than those who did not participate.&#x0D; Conclusion: This study is significant in that a course was successfully developed to improve life tasks performance of first-year college students.
A Difference Study on the Perception of the teacher of the Child Care Center on the Integrated Policy of Early Childhood Education and Child Care

Objectives The purpose of this study is to find out the level of understanding and awareness of childcare teachers' policies. The purpose of this study is to find out the difference in perception according to socio-demographic variables of childcare teachers and to find out their position on policy.&#x0D; Methods A scale of understanding and awareness of the integration policy and socio-demographic variables (educational background, career, type of work institution, size of work institution) were collected for 267 childcare teachers working at daycare centers in Seoul and Gyeonggi-do. Group differences were statistically verified, and differences in understanding and awareness of policies according to variables were analyzed.&#x0D; Results As a result of the study, it was found that there were differences by group in the level of recognition of kindergarten and daycare centers as separate institutions. and the understanding, necessity, and effect recognition of the integrated reservation policy according to the educational background, career, type of work institution, and size of the work institution. This difference was statistically significant, indicating that the child care staff's understanding of the integration policy with regard to socio-demographic variables showed different aspects.&#x0D; Conclusions Based on the research results, it is necessary to consider the position of field experts in the field of early childhood education for the effectiveness of the inegration policy with reservations, and it is necessary to construct policy alternatives that reflect the level of understanding and awareness according to social-demographic variables of field experts.
Analysis of the link between the Social Studies Curriculum and Korean textbooks for curriculum convergence

Purpose: This study presents basic research to find a way to effectively form subject knowledge, skills, values, and attitudes by converging subject education so that education for the purpose of learner holistic growth can be realized. The purpose of this study was to analyze the implementation aspectsof the Social Studies Curriculum in Korean textbooks.&#x0D; Methods: After a Doctor of Education examined various materials presented in elementary Korean textbooks and reviewed documents classified according to the Social Studies Curriculum content system the distribution of social studies curriculum areas and core concepts, and the placement and contents of grade groups in Korean language textbooks were analyzed.&#x0D; Results: A total of fifty-nine pieces of material related to the Social Studies Curriculum included in Korean textbooks appeared in all areas, but only 47.7% of the core concepts were covered. In particular, the core concepts of a “sustainable world” and “sustainable environment” were most often addressed. However, only one 'economy' area was included. The data included in the 5th and 6th grades were 1.68 times more than the 3rd and 4th grades. The content data of the Social Studies Curriculum assigned to Korean textbooks in the same grade were 74%. Among the materials contained in the Korean textbooks in the 3rd and 4th grades, 50% dealt with the contents of the 5th and 6th grades of the Social Studies Curriculum.&#x0D; Conclusion: The contents of the Social Studies Curriculum were not reflected in the materials included in the Korean textbooks in a balanced manner, and in some cases were not suitable for the grade group hierarchy. In terms of subject convergence, it is a desirable form of subject convergence toplace materials that deeply expand what is learned in Social Studies in the same grade group or to experience it before learning about it in Social Studies. This is expected to not only be an opportunity to reduce the learning burden on learners, but to inspire interest in learning. Accordingly, it is proposed to elaborate the criteria for selecting the content to be dealt with in Korean language textbooks for each area of the Social Studies Curriculum and selecting specific target areas for Korean language textbooks.
An analysis of the experiences of Kindergarten Teachers Participating in Novice Teacher Education using Mentoring

Purpose: The purpose of this study was to analyze the experiences of teachers who participated in novice teacher education and present the study’s implications for rethinking what content should continue to be emphasized and systematically supported in novice teacher education.&#x0D; Methods: A teacher who participating in a study is one novice teacher, as is a kindergarten teacher affiliated with C University. The researcher is a professor and director of C University, with 27 years of teaching experience, and conducted the novice teacher education program for 16 weeks. The methods of novice teacher education are reading and discussing articles, completing questionnaires, watching and analyzing class videos, presenting cases, class councils, and writing journals. The collected data were subjected to content analysis.&#x0D; Results: Analyzed journals and interviews of participating teachers in a novice teacher education course yields important findings. Teachers' concerns during the first 16 weeks of teaching were organized into the following categories: life guidance, emotion, classes, and professional growth.&#x0D; Conclusion: Novice teacher education and support systems that help novice teachers stay in the profession and continue to grow in their professional identity need to be refined and their quality should be assured.
Impact of Missing Data on Correlation Coefficient Values: Deletion and Imputation Methods for Data Preparation

The correlation coefficient is one of the essential statistical techniques used to discover relationships among variables. Various techniques can quantify correlation, such as Pearson's, Spearman's, and Kendall's correlation coefficients, depending on the data type. As with any use of data, missing data will impact the availability of data, reducing it and potentially affecting the results. Furthermore, the removal of missing-value data from the study when using complete case analysis or available case analysis may result in selection biases. In this paper, we investigate the impact of missing data on the correlation coefficient value by calculating the difference between the correlation coefficient of the original complete dataset and that of a dataset with missing data. Two deletion strategies (Listwise and Pairwise) and three imputation strategies (Mean, k-Nearest Neighbors (k-NN), and Expectation-Maximization) were used to prepare the data before calculating the correlation coefficient. Unique correlation coefficient values were created by converting unique values to a one-dimensional array, and RMSE metrics were used to evaluate the experiments. Eight UCI and Kaggle datasets with different sizes and numbers of attributes were used in this study. The experiment results demonstrate that the Pairwise strategy and k-NN give good results on the correlation coefficient, respectively, when the missing rate is moderate or less. Pairwise uses all the available values and discards only the missing values of the related attribute, while k-NN fills the missing values with new values that produce correlation coefficient values close to the actual values.
Roselle Pest Detection and Classification Using Threshold and Template Matching

Roselle is a fiber-producing plant that has broad benefits for health food, so many farmers are interested in starting to cultivate it. This study aims to design a rosella plant pest detection system to reduce the risk of crop failure or reduced yields of rosella calyx. The design of a system for detecting and classifying rosella pests uses the threshold method as a digital image processing method connected via the internet with information media applications and template matching to detect and classify pests on rosella plants. Detection of pests on rosella plants has been successfully built using a detection system using thresholding and template matching methods. Datasets of rosella plant pests that are not yet widely available encourage the detection of rosella plant pests with datasets from rosella plant objects and limited data testing. Testing with 75% accuracy, the detection process is affected by light and camera quality.
Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild

Eye blinking detection in the wild plays an essential role in deception detection, driving fatigue detection, etc. Despite the fact that numerous attempts have already been made, the majority of them have encountered difficulties, such as the derived eye images having different resolutions as the distance between the face and the camera changes; or the requirement of a lightweight detection model to obtain a short inference time in order to perform in realtime. In this research, two problems are addressed: how the eye blinking detection model can learn efficiently from different resolutions of eye pictures in diverse conditions; and how to reduce the size of the detection model for faster inference time. We propose to utilize upsampling and downsampling the input eye images to the same resolution as one potential solution for the first problem, then find out which interpolation method can result in the highest performance of the detection model. For the second problem, although a recent spatiotemporal convolutional neural network used for eye blinking detection has a strong capacity to extract both spatial and temporal characteristics, it remains having a high number of network parameters, leading to high inference time. Therefore, using Depth-wise Separable Convolution rather than conventional convolution layers inside each branch is considered in this paper as a feasible solution.
Efficient School Bullying Detection Based on HPO-TDN

School bullying has always been a source of concern for both schools and parents. With the development of smart cities and the widespread use of cameras inside and outside of schools, it is now possible to identify and stop bullying in real-time via video actions. The traditional approach is to model graphics and timing using sensors, dual-stream networks, or 3D convolutions, and then differentiate between bullying and non-bullying. Problems with these methods include slow inference speed, difficult deployment, and poor practicability. We propose a multi-classification video bully detection method based on Hyper-Parameter Optimization Temporary Difference Networks (HPO-TDN), which combines local and global modeling to fully capture the information in the video. RGB difference is used in local modeling to give more fine-grained feature conditions for 2D convolution. To capture long-term time series structure, cross-segment local modeling is integrated with global modeling. At the same time, the hyper-parameter optimization approach is employed to optimize the parameters. The Tree-structured Parzen Estimator (TPE) algorithm is used to automatically select the momentum parameters in Stochastic Gradient Descent, the learning rate, the dropout, and the number of network layers in the conv3_x and conv4_x layer in the ResNet50 backbone. Finally, a school bully detection model with adaptive network layers is created. The HPO-TDN model improved in accuracy by 1.57% compared to the original TDN model on the five types of school bullying datasets collected.
The math of juggling - comparing Solo and Duo juggling patterns

An artistic and methodological investigation of the limits and aspirations of using siteswap to create and conduct juggling patterns. It is a valuable resource for jugglers of all levels, and it provides a unique perspective on the art and science of juggling.
PEAL (2009)

PEAL is an interactive sound installation for The Leeds Arena which models the layout and operation of a traditional church bell tower, replacing the bell ropes by an optical sensing system where lasers act to trigger the ringing process of the individual bells. When a beam is interrupted by a playerâs hand, the installation reproduces the ringing of the appropriate bell through a multi-speaker sound system, as if its corresponding rope had been pulled.
Vibrational modal-based characterization and pitch measurement of Pipa

Abstract Pipa fretting and pitch measurement are crucial aspects of playing. In this paper, Pipa’s string vibration is simplified to bounded string vibration, and a simplified structural model of Pipa is built. Transverse free vibration is used to establish the vibration equations of Pipa strings, and differential analysis is used to analyze the standing waves. Meanwhile, the vibration of the resonance panel of the Pipa was abstracted into a dynamic model, and the modal analysis was performed using coordinate transformation. In the actual test, the sound signal generated by the vibration was also processed with the help of the Fourier transform, and the pitch of the Pipa was measured by analyzing the time and frequency domains. The vibration of the Pipa panel is complex but regular, with the vibration pitch line at 32.5 hz being a central axis and the vibration pitch line at the frequency of 85 hz being on the upper side, while the vibration corresponding to the frequencies of 32.5 hz and 85 hz can be regarded as a synthesis of the vibration corresponding to the frequency of 175.5 hz. Under the viewpoint of vibration modal analysis, the performance effect of the Pipa has a more refined expression.
Decoding the Challenges: A Study of English Writing Errors Among EFL Students

This study focused on analyzing the common errors made by students in their English writing skills. The study employed a descriptive research design, involving 100 EFL university students as participants. The primary data collection method was a writing test, and the collected data were analyzed using error analysis techniques. The findings showed that the most common errors made by the students were related to grammar, vocabulary, and spelling. The most common grammatical errors were associated with subject-verb agreement, verb tense, and articles. In terms of vocabulary errors, the study identified prevalent mistakes such as the incorrect use of word forms, inappropriate collocations, and confusion between homophones. Additionally, the analysis of spelling errors revealed that phonetic spelling mistakes were the most common, followed by misspelling of homophones and confusion of vowels. These findings highlight areas where students commonly struggle with their English writing skills and emphasize the crucial need for targeted instructional strategies to effectively address these challenges and improve students' proficiency in English writing.
Peran Media Platform Dimasa Pandemi Guna Menunjang Proses Belajar Mengajar Di SMA Harapan Nusantara Denpasar

The education or teaching and learning process must still be carried out during a pandemic; this condition requires a strategy and the media platform's role to support the teaching and learning process, especially at Harapan Nusantara High School Denpasar. This study aims to reveal the part of the media platform during a pandemic to support the teaching and learning process at Harapan Nusantara High School Denpasar. This type of research is qualitative research. Data collection methods include literature studies, direct observation, and interviews. The collected data were then analyzed using data triangulation techniques: data reduction, data presentation, and data verification. Based on the findings in the study, it can be concluded: 1). The media platform's role during the pandemic was constructive and facilitated the process of teaching and learning activities both from the side of educators and students. 2) The advantage of the media platform is that it provides access to teaching and learning processes even during a pandemic; a pandemic is not an excuse not to study or not go to school. 3) The weakness of the media platform is monitoring the honesty of students in doing evaluations, following the process of teaching and learning activities cannot be controlled, and another weakness is the network which could be more stable.
Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques

Abstract Predicting students’ academic performance is a critical research area, yet imbalanced educational datasets, characterized by unequal academic-level representation, present challenges for classifiers. While prior research has addressed the imbalance in binary-class datasets, this study focuses on multi-class datasets. A comparison of ten resampling methods (SMOTE, Adasyn, Distance SMOTE, BorderLineSMOTE, KmeansSMOTE, SVMSMOTE, LN SMOTE, MWSMOTE, Safe Level SMOTE, and SMOTETomek) is conducted alongside nine classification models: K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Support Vector Machine (SVM), Logistic Regression (LR), Extra Tree (ET), Random Forest (RT), Extreme Gradient Boosting (XGB), and Ada Boost (AdaB). Following a rigorous evaluation, including hyperparameter tuning and 10 fold cross-validations, KNN with SmoteTomek attains the highest accuracy of 83.7%, as demonstrated through an ablation study. These results emphasize SMOTETomek’s effectiveness in mitigating class imbalance in educational datasets and highlight KNN’s potential as an educational data mining classifier.
MODULAR MONOLITH AS A MICROSERVICES PRECURSOR

The world of software architecture is in a constant state of evolution, and the development of distributed architectures continues to shape the industry's landscape. Monoliths, characterized by their unified codebase and singular deployment, have long bee
Business Game as a Method of Developing Entrepreneurial Skills of Competition

The article suggests the use of a training tool of a business game in the educational process aimed at the formation of a complete system of professional entrepreneurial competencies. The article aims to expand the possibilities of learning in limited classroom conditions by creating an educational situation as close as possible to the realities of modern business relations practice. To achieve this goal the author set the task of using the tools of a business game in relation to the development of competition skills and competitive relations. As the main scenario of the business game, the author creates a model of the competition situation with the participation of the buyer and several bidders competing for victory in the simulation of competitive procurement. The proposed business game is based on typical real competitive situations in the space of a set of B2B operations, which confirms the relevance of the chosen training method. The article contains a description of the basic scenario and detailed rules of the game. Each of the groups participating in the game is offered its own set of documents of initial information, on the basis of which the participants should build their tactics of negotiations and generating proposals of the competition commission. The article substantiates that in order to win the competition, participants need to take into account both professional and personal relationships of the persons involved in decision-making. The author draws attention to the importance of studying the educational situation as a complete system of relations between real companies with each other. The article shows that the important practical significance of the business game consists in the final session of the analysis of the actions of the participants of the game – the “debriefing” stage. Based on the analysis of the business games sessions conducted, the author identifies the most significant results of students’ participation in the game, their positive impressions and personal unexpected discoveries. The use of the proposed method will be useful for educational organizations as an effective exercise in the framework of courses studying the practice of competition between professional and higher education systems.
QUALITY ATTRIBUTES AND ARCHITECTURAL PATTERNS OF MODERN MOBILE APPS

When embarking on the development of a mobile application, the initial step is the selection of the appropriate architectural framework, which should be based on the specific domain, intended functionality, and the identified quality attributes. This arti
BLOCKCHAINE- A TOOL FOR DIGITAL TRANSFORMATION OF BUSINESS MODELS INTO VALUE CREATION

Blockchain was recently recognized as one of the top 10 emerging technologies by the World Economic Forum (2016). Prior to this remarkable recognition, The Economist published several articles about the "trust machine" and therefore introduced this remark
Can We Make Our Students Pedagogical Design Partners?

In recent years, the Internet has become an integral part of our lives, which includes a wide variety of platforms and activities, different purposes, different uses, and different characteristics. Technology is present in all areas of life, but there are differences in the scope and type of activities young people do in their free time compared to the scope and type of activities during school hours. The purpose of this research is to make the young people's voices heard about their digital lives, to hear their suggestions for integrating technology in the school, and to make them partners in building curricula.The methodological approach in this research is a mixed method. 129 students aged 13-18 and 17 teachers who teach these students participated in the study. The research tools are two online questionnaires, one for students and one for teachers, both with closed and open questions. The findings reveal the students' leisure activities (digital and non-digital), the richness of their digital activities and their attitudes towards integrating technology into learning. In addition, the study presents what their teachers think about their student's leisure time activities and highlights the gap between them. Our findings are presenting the importance of hearing the students' voices for teachers and curriculum designers.