Reviewerly/exHarmony huggingface dataset:
A Study on the Development Direction of Korean Language Introductory Textbooks for Overseas Korean Learners through Textbook Analysis

This paper focuses on Korean as a heritage language (KHL) education, particularly highlighting Korean alphabet instruction as the foundation of Korean language learning. Korean as a heritage language distinguishes itself from the local community's language, serving as a bridge for specific individuals, groups, families, and communities. KHL learners differ significantly from the traditionally targeted learners, necessitating tailored educational approaches and customized learning materials. Despite preschool and elementary students comprising over 63% of global Korean language school enrollment in 2019, research on education for this demographic lags behind that for adults. Additionally, existing textbooks often overlook the unique characteristics of young learners. This paper pursues the following objectives: 1) Identifying KHL education characteristics and methods to integrate them into Korean alphabet instructional materials. 2) Examining domestic and international Korean language textbooks for crucial insights in introductory-level textbook development. 3) Establishing a foundation for ongoing research on Korean alphabet education for KHL learners. Against this backdrop, Chapter 2 explores heritage language Korean education, Korean alphabet instruction for child learners, and features specific to Korean language schools. Chapter 3 analyzes 10 selected textbooks, drawing on established criteria to identify and discuss their unique features. This analysis provides implications for future research and development in KHL education.
A Study on Designing a Syllabus for Business Korean

More and More foreign students studying at domestic universities want to get a job at Korean companies or at companies related to Korea after graduation. In line with this, business Koreanlanguage courses are being operated to help foreign students prepare for employment and facilitate their company life after employment. The purpose of this study is to design a syllabus of business Koreanlanguage classes to cultivate the employment skills of foreign learners majoring in Korean language and culture at domestic universities. To this end, the concept of business Korean and previous studies are reviewed. In addition, a demand survey is conducted for learners and business Korean textbooks are analyzed. Based on this, a syllabus for business Korean is proposed to ensure that foreign students successfully prepare for employment and to accumulate knowledge necessary for company life.
Polynomial Solutions of Electric Field Equations in Anisotropic Media

The time-dependent system of partial differential equations of the&#x0D; second order describing the electric wave propagation in&#x0D; electrically and magnetically anisotropic homogeneous media is&#x0D; considered in the paper. A method for the computation of the polynomial solutions of the initial value problem for the considered system is proposed.&#x0D; Symbolic computations are used and these symbolic computations are implemented in Maple. It is proved also that these polynomial solutions are approximate solutions of the considered initial value problem with smooth initial data and the inhomogeneous term. The computational experiments confirm the robustness of the suggested method for the computation of electric fields in general electrically and magnetically anisotropic media.
Analisis Kombinasi Algoritma K-Means Clustering dan TOPSIS Untuk Menentukan Pendekatan Strategi Marketing Berdasarkan Background Target Audiens

The promotion is an annual agenda for STIMIK Tunas Bangsa Banjarnegara. The aim of this promotional activity is to attract more new students every year. On the other hand, campus promotion encounters obstacles in mapping applicant data from previous years so that considerations for new promotion policies are based on data from the school of origin of alumni or students. By using the K-Means Clustering algorithm, applicant data can be grouped according to the background represented through the school origin attribute. , parents' occupation and place of origin. Then the data is processed using DSS with the TOPSIS method to obtain priority references for marketing types for each cluster. The results of calculating the silhouette coefficient value for the five clusters obtained a score of 0.426. Meanwhile, in the ranking process using the TOPSIS method, the first rank was found in cluster 0 with a score of 0.994110. Further stages use the Decision Tree method to obtain output in the form of recommendations for promotion types for each cluster. For example, cluster 0 is recommended to use promotion types with codes P1, P2, P3, P8 and P9.
PROSPECTS AND RISKS FOR THE DEVELOPMENT OF INDIVIDUAL SUBJECTIVITY IN THE CONTEXT OF DIGITALIZATION OF EDUCATION

The purpose of the study is to analyze the prospects and risks of developing individual subjectivity in the context of digitalization of the education system. Methodological basis of the study is the activity approach to understanding the subjectivity of the individual, as well as the provisions of the concept of post-industrial society, theories of digital transformation and digital culture. The results of the study. Currently, the development of subjectivity in the educational sphere is due to its digital platformization, which allows the use of innovative forms and methods in the learning process. The main goal of digitalization of the educational sphere is to increase the efficiency of the educational process, prepare students for life and activity in a digital society. At the same time, the authors note that in order to develop significant general cultural and professional competencies, it is necessary to preserve traditional forms of education, which involve «live» communication between teacher and student. The prospects of the research. The problem of subjectivity in the context of digitalization of education is of scientific and practical interest in connection with the need to understand the further transformation of the educational environment and its impact on the subjectivity of the individual.
TRANSFORMATION OF INSTITUTIONAL TEACHER CODES OF THE COGNITIVE MODEL “QUALITY” IN THE CONTEXT OF THE SEMANTIC AND LINGUISTIC CRISIS OF MODERN TIME

Objective of the study is – the construction of the ideological linguocognitive matrix «Institute of a Teacher», in which the central place is given to the correlative «teacher codes» as implicators of the cognitive model «Quality» of the semantic and linguistic crisis of our time. The methodological basis of the research. An attempt is made to formulate a methodological basis for studying the transformation of institutional teacher codes of the cognitive model «Quality» in the context of the semantic and linguistic crisis of modernity within the framework of an integrated methodology of transdisciplinary knowledge of linguistic and philosophical research, dialectical-trialectical and cultural-temporal approaches being developed. Within the framework of these studies one of the dominant roles is intended to be played by a contaminated analysis of the linguistic and logical-philosophical aspects of the category «Quality», which is one of the central categories of the structuring of the value-oriented system of modern society. Research results. Based on the conducted critical analysis of the current state of the integral vectors of development of sociopragmalinguistics and the linguo-philosophical direction of practical philosophy of communication management, it is necessary to postulate the interdisciplinarity of the concept of semantic-linguistic crisis. It can be stated that the core of the concept of MEANING-LANGUAGE CRISIS in its transdisciplinary understanding will be cultural-temporal, i.e. forming dialectical-trialectical unity, analysis-crisis structure of communicative-semiotic fields. It is this fact that forces us to consider it in a multi-paradigmatic manner based on the categorical apparatus of philosophy, social psychology, cultural studies, as well as special sociolinguistics, structural linguistics and cognitive science. Prospects of the study. The planned fundamental research of the above data allows us to state the objective need for further study of the changing language policy. The prospect of studying the effective preservation of correlative "teacher codes" as implicators of the cognitive model "Quality" of the semantic-linguistic crisis of modernity is being built.
Source-based Waste Management (Research Study in Bresela Village, Payangan District, Gianyar Regency)

Waste is a problem that is often faced by various countries in the world. The main problem is how to manage waste properly and correctly. Improper waste management can cause pollution, environmental damage, and have a negative impact on human life. Hence a solution is needed to minimize the waste problem. So Bresela Village Regulation No. 3 of 2021 concerning Source-Based Waste Management was issued (Research Study in Bresela Village, Payangan District, Gianyar Regency). The aims of this research are: (1) To find out the implementation of Bresela Village Regulation No. 3 of 2021 concerning Source-Based Waste Management in Bresela Village, Payangan District, Gianyar Regency. (2) And to find out the obstacles faced in the implementation of Bresela Village Regulation No. 3 of 2021 Concerning Source-Based Waste Management in Bresela Village, Payangan District, Gianyar Regency. The results of this research show that: (1) Implementation of Bresela Village Regulation No. 3 of 2021 concerning Source-Based Waste Management with 4 variables, namely communication, disposition, resources, and bureaucratic structure, has not run optimally. (2) Obstacles faced in Implementing Village Regulations Bresela No. 3 of 2021 concerning Source- Based Waste Management in Bresela Village, Payangan District, Gianyar Regency, including the lack of facilities and infrastructure for waste management.&#x0D; Keywords: implementation, village regulations, waste management
Intellectual Property Protection in the Transformation of Medical Scientific and Technological Achievements

In the transformation of medical scientific and technological achievements, intellectual property disputes caused by improper protection of intellectual property rights are common, which have seriously affected the efficiency of the transformation of medical scientific and technological achievements. Therefore, this article takes the importance of intellectual property protection in the process of transformation of medical scientific and technological achievements as an entry point, analyzes the current intellectual property infringement behaviors and manifestations, puts forward specific solutions, and improves the efficiency of the transformation of medical scientific and technological achievements.
Analisis Kesalahan Siswa Dalam Menyelesaikan Soal Cerita Pada Pembelajaran Matematika Di Kelas Vii Smpn 1 Lareh Sago Halaban Berdasarkan Tahapan Newman

This study aims to analyze student errors in solving word problems in mathematics learning. One way that can be used to find out why this happened is by analyzing students' mistakes in solving word problems in mathematics learning based on Newman's stages in class VII SMPN 1 Lareh Sago Halaban. This research is a qualitative descriptive study. Data collection was carried out by collecting students' daily test results for analysis based on Newman's stages and interviews. The research subjects in this study were taken from students in class VII SMPN 1 Lareh Sago Halaban. The research subjects were taken based on the number of subjects making mistakes from the results of students' daily tests. Each research subject was interviewed regarding the results of his work in solving math word problems based on Newman's stages. Data validity test was carried out by technical triangulation.The results showed that the subject made mistakes at the stages of understanding, transforming, processing ability and writing the final answer due to carelessness and lack of understanding of the subject's mathematical concepts.
A Study on the Historical Records-Based Instructional Plan about Property Inheritance in the Goryeo Dynasty

This study presented a teaching method that can induce experience of the process of deriving historical knowledge based on historical records related to property inheritance during the Goryeo Dynasty.First, by analysing the historical data related to the Son Byeon (孫抃) judgement on the brother-sister lawsuit, which is one of the cases of equal inheritance of property between children in the Goryeo Dynasty, a teaching plan was proposed to infer that the record reflects the "practice" of the time beyond the "case". Given the situation of historical research, this can be an experience of the stage of establishing a related hypothesis through case analysis.Then, a class plan was constructed to raise additional questions about the equal inheritance of property in the Goryeo Dynasty in the process of reviewing other related cases with the historical knowledge or hypothesis identified above in mind, and to explore them. Specifically, it is a class that raises questions about the aspect of "equality" through the case of Yoon Seon-jwa(尹宣佐), and deduces the specific aspect of "equality" through the interpretation of the 1122 ruling on inheritance.If the above is a method of learning historical materials that explores the process of deriving historical knowledge of textbooks and their specific content through historical materials, the last step of the in-depth class is a class that can explore the relationship between the interpretation of historical materials and the researcher's perspective, which is the core of historical research. Here, an interpretation from the 1950s is presented, which differs significantly from the 'current' interpretation of the 1122 decision used above, and the state of research and research perspectives on the family and kinship system at the time are considered as factors influencing this interpretation.It is believed that this lesson plan is more in line with the original aim of experiencing historical thinking by allowing students to experience the process of deriving historical knowledge more practically through the analysis of historical materials. Furthermore, it is hoped that it will help students to accept the historical knowledge of textbooks as provisional by understanding that the 'present' perspective - problem awareness and research situation - is an important background for exploring the creation of such historical knowledge.
“Rus', You are but a Kiss in the Cold!” (1921) by V. Khlebnikov: Text as a Combinatory Model / Dynamic Construction

The paper is devoted to analysis of the poem by Velimir Khlebnikov “Rus', you are but a kiss in the frost!” (1921) as part of a study of transformation of the sonnet genre in the poet’s verses. Velimir Khlebnikov elaborates his version of a lyrical story of ‘a kiss in the frost’, originating from the poem by Alexander Pushkin “Winter. What do we do in the village?…” (1829). The love scene is represented as a natural phenomenon, embedded not only in the winter landscape but also in the Universe. There are no persons in the Nature’s integrity, and the couple of lovers are designated only by demonstrative pronouns. The tension of feelings (“the lightning kiss”) is but one of the manifestations of the Elements. The phenomenon of a lightning as a “potentially energy-embracing symbol” has a conceptual character in Khlebnikov’s perception of the world, is both the “primordial image” of the world and the principle of universal unity, which has already been noted by the eminent researchers’ of Khlebnikov’s works. From the formal viewpoint, the text is a special variant of structural deformity and overcoming it, which is directly related to the idea of accumulation of energy, explosion, and return to tranquility. The poem is characterized by increased expression of the arrangement of its sounds; alliteration of the occlusive, fricative, and sonorant sounds, their combinations, and paronymic attraction create the effect of a special energy of sound-making. The rhythmic arrangement of the text “deceives” the reader’s expectations: fast shifts and transitions from one meter to another (polymetry in the first stanza), occasional caesuras in the first, fourth, and ninth verses, an enjambement in the seventh and eighth verses: breakage of the seventh verse, when the verb “would [swiftly] outline” starts a line, visualizing the movement of a lightning. Structural deformities are settled in the final — the last verse is written in a classical iambic tetrameter. Graphically, the lyrical text is a combinatory dynamic model which may vary in terms of strophic division, the “headless” sonnet, preserving the characteristics of the Italian sonnet, dominates. The mechanism of cohesion is ensured by all the levels of the artistic whole, and the genre of the sonnet is a harmonizing form, balancing the structural instability of the text.
A Comparative Study of Random Forest and Double Random Forest Models from View Points of Their Interpretability

Purpose: This study aims to compare the performance of ensemble trees such as Random Forest (RF) and Double Random Forest (DRF) from view points of interpretability of the models. Both models have strong predictive performance but the inner working of the models is not human understandable. Model interpretability is required to explain the relationship between the predictors and the response. We apply association rules to simplify the essence of the models.Methods: This study compares interpretability of RF and DRF using association rules. Each decision tree formed from each model is converted into if-then rules by following the path from root node to leaf nodes. The data was selected in such a way that they were underfit data. This is due to the fact that DRF has been shown by other researchers to overcome the underfitting problem faced by RF. A Simulation study has been conducted to evaluate the extracted rules from RF and DRF. The rules extracted from both models are compared in terms of model interpretability based on support and confidence values. Association rules may also be applied to identify the characteristics of poor people who are working in Yogyakarta.Result: The simulation results revealed that the interpretability of DRF outperformed RF especially in the case of modelling underfit data. On the other hand, using empirical data we have been able to characterize the profile of poor people who are working in Yogyakarta based on the most frequent rules.Novelty: Research on interpretable DRF is still rare, especially the interpretation model using association rules. Previous studies focused only on interpreting the random forest model using association rules. In this study, the rules extracted from the random forest and double random forest models are compared based on the quality of the rules extracted.
Knowledge Discovery from Confusion Matrix of Pruned CART in Imbalanced Microarray Data Ovarian Cancer Classification

Purpose: The results of microarray data analysis is important in cancer diagnosis, especially in early stages asymptomatic cancers like ovarian cancer. One of the challenges in analyzing microarray data is the problem of imbalanced data. Unfortunately, research that carries out cancer classification from microarray data often ignores this challenge, so that it doesn’t use appropriate evaluation metrics. It makes the results biased towards the majority class. This study uses a popular evaluation metric “accuracy” and an evaluation metric that is suitable for imbalanced data “balanced accuracy (BA)” to gain information from the confusion matrix regarding accuracy and BA values in case of ovarian cancer classification.Methods: This study use Classification and Regression Tree (CART) as the classifier. CART optimized by pruning. CART optimal is determined from the results of CART complexity analysis and confusion matrix.Results: The confusion matrix and CART interpretations in this research show that CART with low complexity is still able to predict majority class respondents well. However, when none of the data in the minority class was classified correctly, the accuracy value was still quite high, namely 86.97% and 88.03% respectively at the training and testing stages, while the BA value at both stages was only 50%.Novelty: It is very important to ensure that the evaluation metrics used match the characteristics of the data being processed. This research illustrate the difference between accuracy and BA. It concluded that that classification of an imbalanced dataset without doing resampling can use BA as evaluation metric, because based on the results, BA is more fairly to both classes.
YOLO vs. CNN Algorithms: A Comparative Study in Masked Face Recognition

Purpose: This research investigates the effectiveness of YOLO (You Only Look Once) and Convolutional Neural Network (CNN) in real-time face mask recognition, addressing the challenges posed by mask-wearing in infectious disease prevention.Method: Utilizing a diverse dataset and employing YOLO's object detection and a combined Haar Cascade Algorithm with CNN, the study evaluated key performance indicators, including accuracy, framerate, and F1 Score.Results: Results indicated that CNN outperformed YOLO in accuracy (99.3% vs. 79.3%) but operated at a slightly lower framerate. YOLO excelled in recall and precision, presenting a compelling choice for specific application needs. The research underscores the importance of considering factors beyond accuracy for informed decision-making in the realm of face mask recognition.Novelty: This research evaluates the real-time performance of YOLO and CNN algorithms in masked face recognition, highlighting the crucial balance between framerate efficiency and detection accuracy.
Comparison of Discriminant Analysis and Support Vector Machine on Mixed Categorical and Continuous Independent Variables for COVID-19 Patients Data

Purpose: Numerous factors can affect the duration of COVID-19 recovery. One method involves utilizing natural herbal medication. This study seeks to determine the variables influencing the duration of COVID-19 recovery and to compare discriminant analysis and support vector machine models using COVID-19 patient data from West Sumatra.Methods: Two data mining methods, Discriminant Analysis and Support Vector Machine with different types of kernels (linear, polynomial, and radial basis function), were employed to categorize the time of COVID-19 recovery in this work. The study utilized 428 data points, with 75% allocated for training data and 25% for testing data. The independent factors were evaluated by determining the selection variables' information value (IV) to gauge their influence on the dependent variable. Data resampling techniques were employed to tackle the problem of data imbalance. This study employs data resampling techniques, including undersampling, oversampling, and SMOTE. The balancing accuracy of Discriminant Analysis and Support Vector Machine was examined.Result: The Discriminant Analysis with SMOTE achieved a balanced accuracy of 66.50%, outperforming the linear kernel Support Vector Machine with SMOTE, which had a balanced accuracy of 63.20% in this dataset.Novelty: This study assessed the novelty, originality, and value by comparing Discriminant Analysis and SVM algorithms with categorical and continuous independent variables. This research explores techniques for managing imbalanced data using undersampling, oversampling, and SMOTE, with variable selection based on information value assessment.