Reviewerly/exHarmony huggingface dataset:
Adopting Flipped Learning (FL) for Physical Education Pre-Service Teachers at a Korean University

Since flipped learning (FL) is a popular approach in a worldwide university classroom, expanding the scope with diverse disciplines and student populations is necessary. This study examines Korean pre-service teachers' evaluations and satisfaction with flipped learning for physical education courses. The data was collected in 2022 fall, including the course exit survey (n=103) and focus-group interviews (n=8). The results are as follows. Firstly, FL provides a convenient and adaptable learning environment for PSTs, allowing them to access course materials conveniently. Secondly, the FL format is beneficial for PSTs in developing their self-directed learning skills, as they review course materials before attending face-to-face classes. As a result, PSTs reported feeling more prepared for in-class assignments. Thirdly, PSTs praised the FL instructor as a competent educator who effectively communicated the course content in a well-organized manner. However, PSTs preferred immediate instructor feedback during focus-group discussions during face-to-face or synchronous Zoom lectures. Lastly, various recommendations were discussed for successfully implementing FL in higher education physical education courses.&#x0D; &#x0D; Received: 20 June 2023 / Accepted: 21 August 2023 / Published: 5 September 2023
On the Problem of Origin of Science: The Antiquity Context

This academic paper provides a historical reflection on the problem of the origin of science in order to determine the reasons for differences in determining the date and content of the first scientific achievements. The application of historical-genetic research methods in the disciplinary aspect contributes to the distinction of particular scientific programs in the science body frame with a different relationship between the object and subject of cognition, the internal logic of ideas and worldviews. As a result, the existing research concerned with the conditions of knowledge function in different types of society or with the relations between the structure of knowledge and its purpose, was supplemented by an explication of forms of the continuity of program components – ontological, epistemological and axiological basis of specific scientific cognition/knowledge. In particular, it is established that the ancient world atomistic and peripatetic programs follow the structural pattern of the scientific explanation of the Pythagorean one (scientific and philosophical at the same time), contributing a new subject content in it.
Implementation of Certainty Factor in an Expert System for Diagnosing Pests and Diseases of Tomato Plants

Tomatoes are a plant that is currently widely planted by farmers. Environmental factors and stable selling power are the reasons why this plant is popular with Indonesian farmers. However, that doesn't mean tomato plants don't have growth problems. Diseases such as leaf rot, fusarium wilt, bacterial wilt and leaf scorch are still the main factors inhibiting the decline in yield and quality of tomato plants in Indonesia. This is because farmers do not understand the correct diagnosis of tomato diseases. Misdiagnosis of diseases causes the use of pesticides that are not appropriate, resulting in damage or failure of tomato plants. When diagnosing tomato diseases, you need a farm advisor who can accurately diagnose tomato diseases. In this study, an expert system for diagnosing tomato plant diseases was built to determine pest and disease diagnoses and provide solutions and suggestions for existing diseases based on the selected symptoms. The method used in this expert system is certainty factor. This method was chosen because the certainty factor measures the value of a hypothesis's belief in a fact. These values are divided into two parts, namely MB and MD. The results of applying the confidence factor method to an expert system for diagnosing tomato plant diseases with examples of cases of late blight diagnosis by selecting the appropriate symptoms obtained a percentage of 97%, so it can be interpreted that the use of this method has the opportunity to solve problems in tomato plants
Upaya Meningkatkan Hasil Belajar Matematika Materi Bangun Ruang Sisi Datar Melalui Model Direct Instruction Dengan Menggunakan Multimedia Siswa Kelas VIII-C SMP Negeri 1 Candi Sidoarjo

This study uses Classroom Action Research (CAR). The subjects in this study were class VIII-C students at SMP Negeri 1 Candi Sidoarjo with a total of 40 students. The research data were obtained from the Observation Method and Test Method and data analysis techniques using student activity analysis and conceptual understanding. The results of the study show that learning by applying direct instruction (Direct Instruction) with multimedia, namely: 1) Improving student mathematics learning outcomes and a positive impact on improving student learning achievement, 2) Improving teacher performance as a whole has met the good criteria. The increase in the percentage of students' learning interest from Pre-cycle to Cycle I was 9.04 or had an increase percentage of 20.41%. While the increase in the percentage of interest in learning from Cycle I to Cycle II was 12.86 or had an increase percentage of 24.11%.
Virtual Environments via Natural Language Agents

VEsNA is a framework for managing Virtual Environments via Natural Language Agents. It allows users to interact with agents using natural language and makes it easy to understand the action of agents through a modern virtual interface.
The Validity and Reliability of Developing Assessment Instruments for Students in Electrical Installation and Maintenance Work: Concentration on Psychomotor Skills Assessment

Electrical installation and maintenance work is one of the trades in the curriculum of technical colleges. For the proper installation of electrical appliances, pupils are expected to develop psychomotor skills. Only the cognitive component of electrical installation work is evaluated by the NAtional Business and Technical Examination Board (NABTEB). According to the study, even though students graduate with good GPAs, they lack psychomotor abilities. Therefore, using flawed and unreliable instruments results in inaccurate assessments of pupils' improvement of psychomotor skills. Therefore, the study established the practical tasks in electrical installation and maintenance work to be completed by the students, validated the developed process assessment instrument in electrical installation and maintenance work, and also proved the reliability of the progressed process evaluation instrument in electrical installation and maintenance work. The developed instrument has provided a readily available process assessment instrument of high quality for the study. The following actions were advised for adoption by the study:1. For the purpose of certifying students, the external examination boards (NABTEB, NECO, and WAEC) should incorporate electrical installation and maintenance work skill assessment instrument items into their examinations.2. To train teachers of electrical installation and maintenance work how to apply the established electrical installation and maintenance work skill assessment instrument, the government should host seminars and workshops. 3. Technical education evaluators should examine their curricula, organize the material into pertinent activities, and create exams like to them in their particular subject areas using electrical installation and maintenance work skill evaluation instruments. 4. To evaluate students in electrical installation and maintenance work that is related to construction, teachers of electrical installation and maintenance work should be encouraged to use the created electrical installation and maintenance work skill evaluation instrument.
Multi feature fusion paper classification model based on attention mechanism

In recent years, the number of published scientific research papers has shown a growing trend. How to classify scientific research papers efficiently and accurately is a very important issue. However, excellent paper classification system platforms at home and abroad, such as China National Knowledge Infrastructure, Microsoft Academic Network, etc., rely heavily on the structured or semi-structured text in papers for classification, and do not interpret the unstructured text data in papers enough. To solve this problem, we proposed a multi-feature fusion paper classification model based on attention mechanism (AttentionMFF), which uses the fusion features of structured and unstructured text data in papers to improve classification performance. First, Attention MFF extracts the features of different texts in papers by a BERT layer, then uses attention mechanism to fuse different features, and finally get category through the linear layer. Experiments on the arXiv paper dataset show that the Attention MFF has higher F1-Score than TextCNN model and BERT model that only uses the feature of abstract.
E-Commerce Transaction Using Visual Cryptography

The abstract focuses on the concept of e-commerce transactions using visual cryptography. E-commerce has revolutionized the way businesses operate and has become an integral part of our daily lives. However, the security of online transactions remains a critical concern. Visual cryptography is a technique that allows the secure transmission of images or information through encryption and decryption processes. This abstract explores the potential of visual cryptography in enhancing the security of e-commerce transactions. It discusses the advantages and challenges of using visual cryptography and proposes a framework for implementing this technique in e-commerce platforms. The abstract concludes by highlighting the potential benefits of visual cryptography in ensuring secure and trustworthy e-commerce transactions.
Awareness and Impact of Artificial Intelligence Technology in Banking: A Study Among Bank Employees in Changanacherry Municipality, Kerala, India

Artificial Intelligence (AI) is a rapidly evolving technology with widespread applications in various industries, including banking and finance. This research aims to explore the awareness and impact of AI technology in banking among bank employees in India . The study also investigates the influence of AI on the performance of banking functions. The research commences with an introduction to AI and its historical roots, dating back to 1956 when the concept was first introduced by John McCarthy and other experts. AI is defined as the ability of digital computers or computer-controlled robots to perform intelligent tasks such as reasoning, learning, and problem-solving. The integration of AI in banking has led to significant disruptions, making the sector more customer-centric and technologically relevant. The study mainly covers the awareness, importance, attitude of bank employees, challenges in implementing AI technology in banks. Training Programs are the main sources of awareness about AI technology used in banking.AI helps to reduce the complications of the banking work. Trust Deficit is a major challenge in implementing AI.
Pradinių klasių mokytojų, taikančių STEAM ugdymo metodą, patirtys integruoto-holistinio kompetencijų lygmens požiūriu

After analysing literature sources, the article discusses the STEAM educational approach and its application in primary education. The concept of teachers’ competencies and the significance, structure, and levels of integrated and holistic competencies are analysed. The guidelines for training primary school teachers, the importance of cooperation of higher education institutions with practitioners applying the STEAM educational approach, and the relevance of curriculum improvement are discussed. 18 Lithuanian and foreign educators using the STEAM educational approach participated in a scientific focus group interview study. Having obtained the content analysis data, teachers’ experiences were analysed, and competencies were identified. Educators’ competencies were analysed based on the STEAM fields: science, technology, engineering, art, and mathematics. The applicability of the STEAM areas in the educational process and other experiences of using the STEAM educational approach were identified. Using content analysis, the following categories were identified: the STEAM activities in education institutions (23 statements), General competencies in the STEAM (17 statements), Subject-specific competencies in the STEAM (11 statements), Most needed competencies (8 statements), Use of science in the STEAM (17 statements), Use of technology in the STEAM (21 statements), Use of Engineering in the STEAM (11 statements), Use of Arts and Culture in the STEAM (19 statements), Use of Mathematics in the STEAM (16 statements). The discussion of the participants in the study focuses on the following main sub-categories: Information Technology (11 statements), Creativity (9 statements), Application of knowledge in mathematics (7 statements), Project development (5 statements), Practical research (5 statements), Sharing of best practices (5 statements), New technologies and information management (4 statements), Design and construction (11 statements), Painting/Drawing (6 statements), Playing music (5 statements), and Data processing (6 statements). These main sub-categories reveal primary teachers’ competencies when applying STEAM education in their work. Creativity competence took a special place in the analysis of competencies. It is analysed in the article from integral, multifunctional, and holistic perspectives.
HANDLING BIG TABULAR DATA OF ICT SUPPLY CHAINS: A MULTI-TASK, MACHINE-INTERPRETABLE APPROACH

The essential details of ICT devices are frequently distilled into large tabular data sets that are distributed throughout supply chains as a result of the features of Information and Communications Technology (ICT) goods. With the explosion of electronic assets, it is crucial to automatically analyse tabular structures. We develop a Table Structure Recognition (TSR) work and a Table Cell Type Classification (CTC) task to convert the tabular data in electronic documents into a machine-interpretable format and give layout and semantic information for information extraction and interpretation. For the TSR job, complicated table structures are represented using a graph. Table cells are divided into three groups—Header, Attribute, and Data—based on how they work for the CTC job. Then, utilising the text modal and picture modal characteristics, we provide a multi-task model to accomplish the two tasks concurrently. Our test findings demonstrate that, using the ICDAR2013 and UNLV datasets, our suggested strategy can beat cutting-edge approaches.
Comparative analysis of university models by their innovation activity

Introduction. Universities play an important role in the formation and transfer of new knowledge, its application and commercialization, becoming centers of intellectual development, scientific discoveries and technological progress. Innovative activity is one of the key success factors for a university in the field of domestic higher education. This determines the relevance of considering the directions of universities innovative activity development, taking into account various models of innovative activity, stages of the universities’ life cycle and their functions. Theoretical analysis. The analysis of university models (1.0–4.0) was carried out and the methods for implementing innovations, as well as the expected results of innovative activity, were considered. Depending on the performance of a particular function by a university, different results of innovation activity arise depending on the level of the university’s innovative activity when performing each of these functions and stages of the life cycle. The directions of the university innovative activity development are analyzed depending on its life cycle stage and a comparative characteristic of the university’s models according to the innovative activity methods is carried out. Results. The key directions for the universities innovative activity development are presented, including strengthening ties with industry and organizations for joint research, development and new technologies implementation, creation of special programs and structures that support innovation, increasing financial support for innovative projects and initiatives, developing a culture of innovation and entrepreneurship.
Hybrid Encryption using LSB steganography and RSA

Abstract: In the present world of communication, computers and the internet are the major media that connects different parts of the world as one global virtual world. So we can easily exchange lots of information within seconds of time, but the confidential data that needs to be transferred should be kept confidential. Thus, in order to aid this, we have proposed a new encryption technique by combining Image steganography (LSB) with the cryptographic RSA algorithm for providing more security to our data as well as imperceptibility. The expected outcome would be a properly secure combination of encryption models that uses steganography to hide the message content in a cover image, and also encrypts the message using the cryptographic algorithm, as an additional security layer, in case the content was retrieved from the cover image.
The Relationship Between Teacher Support and Student Motivation with Adherence to Comsumption of Blood Suplementary Tablets in Female Students at Smp Negeri 2 Muara Kaman Year 2023

Anemia is a condition where the level of hemoglobin (Hb) in the blood is less than normal. Young women are prone to anemia because they experience menstrual periods and catch up on growth. Preliminary studies on female students of SMP Negeri 2 Muara Kaman found that there were those who did not consume Blood Supplement Tablets given by the teacher. The aim is to determine the relationship between teacher support and student motivation with adherence to consumption of Blood Supplementary Tablets in female students. This type of research is analytic observation using a cross sectional design. The population is 198 students at SMP Negeri 2 Muara Kaman, using the Lemeshow formula, a sample of 84 people is obtained. The sampling technique uses simple random sampling. Data analysis using Chi-Square. The characteristics of the respondents were mostly 13-year-old students (48.8%), parents had graduated from high school (41.7%) and their parents worked as private employees (40.5%). Most of the teacher's support was not good (51.2%), the motivation of the students was mostly moderate/weak (48.8%) and they were not compliant with consuming iron supplement tablets (54.8%)
Understanding the Role of Automation in Society and its Impact on Labour Market

Automation is the procedure of operating technology to manage and operate tasks, machines, and processes without the need for human input. It employs control systems and advanced technology to enable self-sufficiency in the functioning these systems. We have conducted this study to examine the effects and ramifications of automation on contemporary society, considering its impact on productivity, employment, morality, and economic and social development. It provides an overview of the current state of automation and its potential impact on society. Our study has found that automation has positive and negative consequences for society, including a decline in the job market and a change in the skills set for employment. It was a comprehensive qualitative study that included a literature review, 16 online interviews with experts from 16 countries, and online surveys. We categorized the findings by analyzing the data using thematic analysis. Our results suggest that there should be laws and regulations on the use of automation in society to minimize its adverse impacts on society. This study suggests that automation should improve the quality of life and create more opportunities for people in the market
Analysis of Lexical Spelling Errors in Basic Writing Production Among Second Semester Students at Universitas Negeri Medan

This research aims to analyze the types of French lexical spelling errors found in the writing of UNIMED students in basic writing production courses. The method used in this research is qualitative descriptive. The data collection technique uses student writing results during exams in basic writing production courses and Google forms. The results showed that there were 68 data on lexical spelling errors, 58 data (85.29%) on diacritical mark (accent) errors, 8 data (11.76%) on errors colored by non-functional errors and 2 data (2.95%) on segmentation faults. Based on the questionnaire filled out by the students, there are two factors responsible for these errors, namely interlingual factors and intralingual factors. Of these two factors, the main cause is intralingual factors. In addition, learners do not know the boundaries or rules of a language due to lack of knowledge about the material.
TRANSLANGUAGING STRATEGY IN IMPROVING DESCRIPTIVE WRITING ON EFL LEARNERS’ LOW LITERACY

This study focuses on the learning strategies used by lecture in teaching descriptive writing in overcoming Learning at Sumbawa Islamic High School. The purpose of this study were; 1) to find out the challenges faced by EFL learners with low literacy in improving their descriptive writing skills, and 2) the perceptions of EFL learners with low literacy regarding the use of translanguaging strategies in improving their descriptive writing skills. This research is qualitative research. Researchers used two instruments to obtain the required data, namely: observation and interviews. Based on the data obtained from the second instrument used, the following findings were obtained. First, The challenges faced by EFL learners with low literacy has five category; first, limitation of vocabulary, second complex grammar and sentence structures, third language used, fourth, learning resources, and fifth, strategy used. Language used by the teacher has the huge challenge in their learning process of descriptive writing of students of Sumbawa Islamic High School. Second, The perceptions of EFL learners with low literacy has three category; first, learning process, second, learning motivation, and third, maintaining native language. The perception of the learners regarding used translanguaging has positive contribution in teaching and learning process of descriptive writing of students of Sumbawa Islamic High School.
Data Driven Analysis of Borobudur Ticket Sentiment Using Naïve Bayes.

The recent growth of social media is hugely influential and plays a significant role in various aspects of people's lives in the digital era. Twitter is a social media network that is widely used in Indonesia. Twitter users can engage in multiple activities, such as communicating with individuals and groups, writing daily activities, promoting businesses, arguing, and expressing ideas about a topic of discussion. At the beginning of June 2022, raising the entrance charge for Borobudur Temple became one of the concerns that caused a lot of conversation in the real world and on other social media platforms, including Twitter. The plan to increase the price of entrance tickets to Borobudur Temple has drawn various pro and con reactions in the community. This study analyzes public sentiment toward the planned increase in ticket prices for Borobudur Temple. Sentiment analysis of Twitter data can be implemented using a classification algorithm. The classification algorithms widely used in sentiment analysis research are Nave Bayes (NB) and Decision Tree (DT). The reason for choosing Nave Bayes and Decision Tree is because this algorithm is the most popular algorithm used to process text data classification; the process is simple, efficient, and performs well. This study's dataset source was taken from social media sites like Twitter. In comparison to the Decision Tree, which generates a test percentage of 100%, the accuracy of the Naive Bayes approach, based on the evaluation of the test results, produces the highest accuracy number. At the same time, the Decision Tree method's accuracy test yields a test accuracy value of 35.97%.