Reviewerly/exHarmony huggingface dataset:
Effect of whole-language approach on tenth graders’ learning outcomes and motivations for biographical text writing

This research explores: (1) students’ learning outcomes and motivations for biographical text writing before using the whole-language approach, (2) students’ learning outcomes and motivations for biographical text writing after using the whole-language approach, and (3) the effect of the whole-language approach on tenth graders’ learning outcomes and motivations for biographical text writing at SMK Negeri 3 Gorontalo Utara. The achieved indicators were: (1) Listing the main points of information, (2) Analyzing language in biographical texts, (3) Writing biographical texts about certain figures by paying attention to the content, encompassing educational background, career, and struggles, and (4) Giving oral responses to the text content. Data tests were carried out for data normality, variance homogeneity, and hypothesis. The pretest and post-test scores were 65.97 and 85.03, respectively. Thus, the hypothesis stating that there was an interaction between learning outcomes and motivations and could not stand independently was accepted. Accordingly, preciseness in choosing learning approaches significantly impacted biographical text writing.
APPLICATION OF POSITIVE PSYCHOTHERAPY AS A MEANS TO PROMOTE THE DEVELOPMENT OF PROFESSIONAL AND ETHICAL QUALITIES OF STUDENTS

The article makes actual the need of improving the training of future specialists in education with a focus on the new European standards. Training of the specialists by the type «human-human» today requires special focus for a successful professional career, which is the foundation of personal competence, independence, self-esteem, freedom in developing their own lifestyle. To achieve this, the scientific - technological progress and modern information society become possible by participating in the training activities which are constantly carried out to improve the knowledge, skills and professional qualities. The starting point of any education system is its focus on the all-kind and harmonious development of human. Therefore, training of teachers certainly requirements not only intellectual (academic) intelligence, measured by IQ, but also the emotional intelligence, which is the most common interpretation of ability to recognize their own feelings and the feelings of others with the aim of motivating yourself and guiding own emotions in relationships with others in a context of self-healing. We can assume that emotional intelligence along with cognitive-intellectual cognitive competence is a part of the internal structure of competence, which reflects the social, motivational and functional components. The theory of positive psychotherapy seems to be relevant in this context - a new humanistic method that focuses on maximum activation of individual potential. From the perspectives of the founder of given approach, Mr.N. Pezeshkian, each human posses two basic skills: ability to learn (cognitive) and the ability to love (emotion). Last one makes the essence of human and her selfness is a source of self-development. Thus, the formation of professional qualities is closely associated with the process of gaining professional knowledges and skills. Comprehensive implementation of the proposed areas of contemporary pedagogical education improvement in higher institutions will contribute, in our opinion, into the formation of the students' desire and ability to acquire knowledge (as during the training in a high school as well as after graduation), and put them into practice. Key words: emotional intelligence, cognitive competence, positive psychotherapy, professional skills, self-help.
DIGITAL TECHNOLOGIES WHEN TEACHING MATHS

Introduction. The article deals with the problem of digital education on the example of natural science disciplines, in particular Mathematics, when training students of Nizhny Novgorod Academy of Russian MIA (Ministry of Internal Affairs) – future specialists in the sphere of ensuring economic security.&#x0D; Purpose of research is to highlight specific features of training students in the conditions of digital educational process at the Nizhny Novgorod Academy of Russian MIA on the example of teaching “Mathematics”.&#x0D; Methods. Analysis and synthesis of psychological, pedagogical and didactic-methodical literature; generalization and systematization; monitoring, interview, pedagogical diagnostics, pedagogical experiment.&#x0D; Research results. This work deals with specific features of digital contemporary vocational education, advantages and disadvantages of educational process when using modern digital technologies. It represents the experience of using elements and resources of distance training system Moodle to deliver classes in natural science disciplines, in particular Mathematics, in order to realize the basic programs of vocational education. Apart from, the specificity of both planning and adoption of e-learning courses in electronic educational environment of higher school is determined in the article; it shows possibilities of how students can master specific knowledge, skills and necessary competences when training disciplines that are taught by teachers of Maths, Computing and Information technologies department and possibilities of further development of successful practice work in the sphere of economic security.&#x0D; Field of applying results. Research results can be the basis for drafting and using e-leaning courses in other disciplines as the tool for realizing digital education in various higher schools.&#x0D; Conclusions. The research work highlights the fact that traditional education in the conditions of digital technologies development is less effective especially if it concerns distance training. In order to improve its efficiency it is necessary to implement digital education elements, in particular the resources of SDE (System of Distance Education) LMS Moodle, to deliver classes in mathematical disciplines. The results of experiment and interviewing of both students and higher school teachers allow to identify both advantages and disadvantages of transformation from traditional to innovative education format. Digitalization has a lot of advantages but in order to get highly-quality education and a set of necessary competences when learning a discipline, it is important to consider both traditional and digital education as a single purposeful process of training and upbringing. The model of digital education is in need of training a highly-qualified specialist that would include in its system substantial aspects of training process; pedagogical methods and technologies; organization and management arrangements; all necessary facilities have to be created; and when training all possible ways of solving upbringing tasks should be highlighted.
Data Warehouse Design For Sales Transactions on CV. Sumber Tirta Anugerah

Many data warehouses are implemented in companies engaged in retail, CV. Sumber Tirta Anugerah is one of the paint product retail companies that has not implemented it yet. As time goes by, the sales transaction data is getting more and more difficult to process because it is still stored in Microsoft Excel. This is a serious problem in utilizing historical data to assist in making a decision. It is difficult to store sales data because the data is quite large and a lot. Based on the above problems, a data warehouse design is needed for sales transaction data. This data warehouse design uses Kimball's nine-steps method and star schema. To perform the ETL process (extract, transform, and load) using Pentaho software. In this data warehouse design, Tableau software is used to visualize the processed data into a graph and dashboard report. The result of this research is a data warehouse design using nine steps and a star schema which gets a transformation response time of 4048 MS.
Two-Layer Security of Images Using Elliptic Curve Cryptography with Discrete Wavelet Transform

Information security is an important part of the current interactive world. It is very much essential for the end-user to preserve the confidentiality and integrity of their sensitive data. As such, information encoding is significant to defend against access from the non-authorized user. This paper is presented with an aim to build a system with a fusion of Cryptography and Steganography methods for scrambling the input image and embed into a carrier media by enhancing the security level. Elliptic Curve Cryptography (ECC) is helpful in achieving high security with a smaller key size. In this paper, ECC with modification is used to encrypt and decrypt the input image. Carrier media is transformed into frequency bands by utilizing Discrete Wavelet Transform (DWT). The encrypted hash of the input is hidden in high-frequency bands of carrier media by the process of Least-Significant-Bit (LSB). This approach is successful to achieve data confidentiality along with data integrity. Data integrity is verified by using SHA-256. Simulation outcomes of this method have been analyzed by measuring performance metrics. This method enhances the security of images obtained with 82.7528db of PSNR, 0.0012 of MSE, and SSIM as 1 compared to other existing scrambling methods.
Characterizing Adaptive Optimizer in CNN by Reverse Mode Differentiation from Full-Scratch

Recently, datasets have been discovered for which adaptive optimizers are not more than adequate. No evaluation criteria have been established for optimization as to which algorithm is appropriate. In this paper, we propose a characterization method by implementing backward automatic differentiation and characterizes the optimizer by tracking the gradient and the value of the signal flowing to the output layer at each epoch. The proposed method was applied to a CNN (Convolutional Neural Network) recognizing CIFAR-10, and experiments were conducted comparing and Adam (adaptive moment estimation) and SGD (stochastic gradient descent). The experiments revealed that for batch sizes of 50, 100, 150, and 200, SGD and Adam significantly differ in the characteristics of the time series of signals sent to the output layer. This shows that the ADAM optimizer can be clearly characterized from the input signal series for each batch size.
IMPLEMENTING 21ST CENTURY SKILLS IN PROJECT BASED LEARNING TO DEVELOP YOUNG LEARNERS LITERACY

Project-based learning gives young learners an opportunity to combine the literacy of words, grammar, numbers, into productive speech and writing. In implementing a 21st century approach to developing literacy through the project-based learning, teachers need to create a learning situation which has curiosity and gives the young learners a real creative reason to learn. To do this, learning activity was set up in creative interesting projects a round. Each project has several set of creation that the young learners are led to practice with, so that they can find out more about literacy creatively by themselves. They collaborated with other learners to compare, contrast and share their learning experiences and discoveries. Finally, they made the projects creatively, displayed and presented them in groups. So, they have to be creative and innovative in creating and setting the projects through projects learning as well as to analyze and evaluate young learners’ literacy competence. Through Project-Based Learning, teachers of young learners at Kindergarten of TK Asa’adah Limo-Cinere can develop their ability to produce and communicate their literacy competence which is later can be implemented for their young learners there. They worked to define and organize ideas, inspire new topics, imagine the stories to tell, they are able to manage conceptual-problems better than those taught in common learning of literacy as well. In this case, they can write workbook or handbook for their young learners. The training of train teachers by implementing ‘21st century skills’ into the lesson of literacy, ideas, such as collaboration, critical thinking, creativity and communication are becoming effective and extraordinary purpose for the lesson itself.
Implementation Of Data Mining Sales Of Household Furniture At Smart Kitchen Shop Using The Method K-Means

Household furniture is an item that is very much in demand by many people, especially mothers, the higher the number, the more demand. To get the desired information so that a store can sort out the inventory that must be met. So it takes a prediction for the sale of furniture products that are most requested by consumers which aims to facilitate the provision of stock goods. The purpose of this research is to apply data mining to determine what products or goods are most in demand, moderately desirable, less desirable. From the various data that the authors observe at the Smart Kitchen Store, namely the Smart Kitchen Store, it is still difficult to predict product inventory in the future. With this problem, we need to group the data based on the characteristics of product sales. In the grouping process, a grouping method will be used using the K-Means Algorithm as a manual calculation method and in its implementation a data mining software using RapidMiner Studio version 7.1 will be used.The results of the study consisted of 3 clusters, namely, 42 Most Interested Products (Double Stan Hangers, Napkins, and Stainless Dish Racks), 46 Moderately Interested Products (Super Mop Floor Mops, Surpets, and Electric Grater) and 32 Less Interested Products (Shower Hood 4 stacking, Ring Light, and stainless hood). at the Smart Kitchen Store, so that the data is used as a reference for the Smart Kitchen Store to manage the stock of goods so that the store does not disappoint customers because the goods or products you want to buy are not available.
The Use of The Grammar Translation Method in Bunpou-Dokkai Level 4 Learning for Japanese Literature Students of Mahasaraswati University Denpasar

This study aimed in analyzing the Japanese language ability of the first year Japanese Literature students of Mahasaraswati University Denpasar, before and after the use of the Grammar Translation Method in Bunpou-Dokkai Level 4 learning and its effectiveness on students.This research is an experimental research with quantitative and qualitative approaches, using a one group pre-test and post-test design.The theories used in this research are behavioristic learning theory, the theory of morphosyntax that focused on conjugation of Japanese word clases and word order in sentences structures, and surface strategy taxonomy theory from Dulay et.al (1982).The results showed that the use of the Grammar Translation Method in Bunpou-Dokkai Level 4 learning can improve students Japanese language ability that can be seen from the increase in scores on the post-test.The average score of pre-test score was 45.6 and the average score of post-test score was 77.4.The N-Gain percentage was 60.11%.Based on N-Gain categories, this experimental study showed that the use of the Grammar Translation Method in learning Japanese language, especially Bunpou-Dokkai Level 4 learning was quite effective.
FEATURES OF THE ORGANIZATION OF STUDENTS' INDEPENDENT WORK DURING THE STUDY OF HUMANITIES IN THE CONDITIONS OF DISTANCE EDUCATION

The article is devoted to the problem of organizing students' independent work during the study of humanitarian disciplines in the conditions of distance education. The main factors that led to the active implementation of distance education in Ukrainian higher education institutions and an increase in the share of independent work of education seekers during the study of various disciplines are characterized. The approaches of Ukrainian author to the definition of the essence of the concept of «distance learning» were analyzed, and on their basis, the author's understanding of this definition was formulated (a form of organization of the educational process, which is implemented with the help of various information technologies and involves increasing the share of independent work of education seekers during the study of program material). The essence of the concept of independent work of students as an important form of organization of the educational process in higher education institutions is clarified. The focus is on what, at the current stage, it is the main type of educational activity of students, for which no less than 1/3 and no more than 2/3 of the total amount of study time of a student allocated to the study of a specific discipline is allocated. The peculiarities of the organization of independent work by the teachers of the department of Psychology, Pedagogy and Language Training O. M. Beketov National University of Urban Economy in Kharkiv within such humanitarian disciplines as «Language training (for foreign students)», «Ukrainian language for professional direction», «Modern Ukrainian literary language», «Business Ukrainian language», «Professional rhetoric», «Scientific style language training». The main activities that are implemented in O. M. Beketov University in order to facilitate the process of independent work of students: creation of video and audio lectures, as well as slide presentations on topics studied within the disciplines, electronic correspondence, communication in Telegram, Viber, Skype applications, open access for of each student to the digital repository, which contains electronic resources, lecture notes, methodological instructions, study guides and textbooks, abstracts, dissertations, articles, etc. It has been proven that the effectiveness of the educational process in higher education depends to a large extent on the quality organization of independent work in the conditions of distance education.
Literacy Strategies: Building Elementary Students’ Character Education and English Competence in Face-To-Face and Online Classroom

This study explored the implementation of literacy practice in both face-to-face and online classroom supporting students’ character education and their English competence. It also described the challenges and problems in applying literacy practice in both face-to-face and online classroom. Two teachers from an Islamic privately owned Elementary school were chosen as the participants. Drawing on the observation and interview, it was found that there were two stages of teachers’ literacy practice, i.e. habituation and learning stage in both face-to-face and online classroom. However, the discrepancy existed in habituation stage in online classroom. The strategies in each stage were equipped with islamic literacy recources, approach, activities, and learning cycles. Another finding also unveiled that the teachers encountered challenges related to the transformation of face-to-face to online learning. This research encapsulates that literacy practice is vital for young learners as it promotes students’ character building and English competence.
Convolutional Neural Networks for Text Classification: A Comprehensive Analysis

Abstract: This research paper explores the integration of Convolutional Neural Networks (CNNs) with the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment analysis tool for text classification tasks. CNNs have shown promising results in text classification, while VADER is a well-established lexicon and rule-based sentiment analysis tool. By combining the strengths of both approaches, we aim to enhance the accuracy and effectiveness of text classification models. The proposed approach leverages the local context capture capabilities of CNNs and the sentiment analysis capabilities of VADER to classify text into predefined categories. We evaluate the performance of the CNN with VADER model on benchmark datasets, comparing it with other state-of-the-art text classification models. The results demonstrate that the integration of CNNs with VADER significantly improves classification accuracy and provides a more nuanced understanding of sentiment in textual data. This research contributes to the field of text classification by highlighting the benefits of combining deep learning models with sentiment analysis tools for more accurate and informative classification.
PENINGKATAN HASIL BELAJAR SISWA MENGGUNAKAN MEDIA GAMBAR PADA MATA PELAJARAN IPA TEMA ORGAN GERAK HEWAN DAN MANUSIA KELAS V A SD NEGERI 2 NGANGANAUMALA

The expected goal in this study is to improve student learning outcomes using Picture Media in the Natural Science subject with the theme of Animal and Human Movement Organs in class V A SD Negeri 2 Nganganaumala Baubau City. The subjects of the research were the fifth grade students of SD Negeri 2 Nganganaumala totaling 26 students, the details of which were 12 male students and 14 female students. The conclusions of the research are: (1) the average value of student learning outcomes is 65.77 learning completeness reaches 57.69 % or there are 15 students from 26 students who are declared complete. The results show that in the first cycle, classically students have not finished studying, obtaining a score of 65 of 57.69 %, which is smaller than the percentage of completeness desired, which is 80 %. Based on the first cycle, the results obtained that students have not reached the percentage of mastery learning, and (2) the average value of student learning outcomes is 72.31, learning mastery reaches 80.77 % or there are 21 students from 26 students who are declared complete. These results indicate that in the second cycle classically students have finished studying, students get a score of 65 which is 80.77 % greater than the desired completeness percentage, which is 80 %.
A Method for Optimal Allocation of Distributed PV and Energy Storage Based on High Reliability of Distribution Network

Abstract In the context of the current widespread application of distributed PV, the energy storage system has bi-directional power characteristics and flexible regulation capability, and the reasonable joint planning of the two can enhance the safe and reliable operation of the system. In order to maximize long-term economic benefits, this paper proposes an optimal allocation method of distributed PV and energy storage based on high reliability of distribution network. Considering both normal operation and disaster scenarios for distributed photovoltaic storage planning, firstly, the investment and operation cost of distributed energy storage system is the target, and the storage planning model under normal operation scenario is established by considering the storage access location, configuration capacity, load state and grid operation state as constraints; then, the distributed photovoltaic storage optimal configuration model under disaster scenario is established by taking grid economy as the objective function. In summary, a two-layer planning model is established, with the upper layer using genetic algorithm to optimize the location, power and capacity of energy storage configuration, and the lower layer using particle swarm algorithm combined with tide calculation tool to optimize the intra-day operation strategy of energy storage; finally, the feasibility and effectiveness of the optimal configuration method are verified.