Reviewerly/exHarmony huggingface dataset:
Development of Hash-Based Multi-Factor Password Generating System

The use of passwords or passphrases is essential for every internet user. However, users often face a dilemma between choosing simple passwords that are easy to crack and complex passwords that are difficult to remember, leading to frequent and cumbersome password recovery processes. This paper focuses on addressing this issue by developing a multifactor, unique password-generating system using SHA-256. The system incorporates factors such as a Unique Identifier, a biometric key value, and an Android mobile phone with a Biometric scanner. To accomplish this, an algorithm is devised using JavaScript that concatenates and generates a hash value by applying the SHA-256 algorithm to the Unique Identifier and Biometric Key values. The software implementation is achieved using the JavaScript programming language, with support from predefined plugins. Once the application is created, passwords can be generated by inputting a user's fingerprint ID and an Identifier (e.g., “Facebook.com”), resulting in the generation of a 32-character unique password. This process can be applied to any identifier and can reproduce the same password when the same factors are supplied. The experimentation results demonstrate that the system is capable of generating unique passwords for different platforms and can reproduce the same password for each platform if needed. While the focus of this paper is on the development of a system for Android mobile phone operating systems, It is suggested that its functionality be expanded by developing a browser extension and versions for other operating systems to improve its usability and accessibility across multiple platforms.
Artificial Neural Network-Based Prediction Model Back Propagation on Blood Demand and Blood Supply

The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial. This condition must be maintained to reduce unused or expired blood supplies. Despite the situation in UTD-PMI, where the blood supply exceeds demand, there is still a shortage of blood when needed by patients. This research aims to model the prediction of blood demand and supply for each blood type using the Back Propagation artificial neural network approach. Data from the last 3 years, from 2020 to 2022, were utilized in this research process. There are three stages in this research process. The first stage involves the training process, using data from January 2020 to December 2021. The testing process utilizes data from January 2021 to December 2022. The prediction process involves displaying the forecasted data for the next 12 months from January to December 2023. The accuracy of the calculations is assessed using the mean square error (MSE). Ultimately, the research results present the prediction model for the four types of blood with respect to the demand and supply. These findings can serve as a reference to regulate future blood donation activities carried out by the UTD-PMI.
Face Recognition-Based Room Access Security System Prototype using A Deep Learning Algorithm

Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool to write Mandarin characters. It also conducts a comparative study between MobileNetV2 and MobileNetV3, exploring different configurations. The research follows the Multimedia Development Life Cycle (MDLC) method to create both application and machine learning models. Participants from higher education institutions that offer Mandarin courses in Batam, Indonesia, participated in a User Acceptance Test (UAT). Data were collected through questionnaires and analyzed using the System Usability Scale (SUS) methods. The results show positive user acceptance, with an SUS score of 77.92%, indicating a high level of acceptability. MobileNetV3Small was also preferred for recognizing user handwriting, due to comparable accuracy size, rapid inference time and smallest model size. Although the application was well received, several participants provided constructive feedback, suggesting potential improvements.
Opportunities and Challenges of Hybrid Learning in Higher Education in Terms of Student’s Digital Literacy Capabilities

The research aims to analyze the map of students' digital literacy capabilities as opportunities and challenges in implementing hybrid learning. The research uses a survey method with descriptive analysis. The sample was 35 Mathematics Education students, FMIPA, Indraprasta PGRI University, taken using a purposive sampling technique. The research results showed 82.83% digital literacy skills, with the largest percentage being the ability to use technology, namely 30.0% and information and data literacy skills at 21.83%, communication skills at 12.68%, critical thinking at 12.20%, and digital security (e-safety) capabilities of 11.74%. These results show that students' digital literacy skills are still not evenly distributed in every dimension, where the ability to use technology and information and data literacy is quite good, while communication, critical thinking and digital security skills are still lacking. The implementation of hybrid learning is still in the transition stage, namely the ability to utilize technology, literacy and data information. Thus, based on the map of students' digital literacy abilities, it can be concluded that students' digital literacy abilities need to be improved to answer the opportunities and challenges of implementing hybrid learning.
Enhancing the Wireless System Security based on Chaotic Encryption

In the setting of 5th generation, where the amount of information transferred has drastically expanded along with the skills of communication system attackers, the necessity for a strong security system has garnered crucial relevance. This work proposes and experimentally validates a physical-layer based poly technique for securing orthogonal frequency division multiplexing for machine-to-machine communication (OFDM-M2M). The proposed model is based on a 4-D hyper digital chaotic sequences keys generator that is used to provide the necessary keys to encrypt input image data in the spatial domain using two sub-stages of permutation and one-time pad (XOR) before sending the encrypted data to the second layer of security that involves independently scrambling Quadrature Amplitude Modulation (QAM) symbols into a complex plane. The proposed system proved to enhance the capability to withstand exhaustive attacks and making it more difficult for unauthorized attackers to obtain user data. with 4-D hyper digital chaos, high-security levels are achieved in the simulation result with a sizable key space. The simulation results revealed that the proposed secure OFDM system successfully achieved zero BER at SNR=15, whereas a SNR deterioration of 1.5 dB at 10-4 BER has been recorded with respect to unsecure OFDM system which can be tolerated by the robustness of proposed system with massive key space of ~10220, which is adequate to fend off any exhaustive attacks.
Design a Patient Medical Record Application to Shorten Registration Time Using the Waterfall Model

Health agencies need speed of information services and provide optimal service to customers. The patient medical record procedures at the Rohil Medika Clinic, from patient registration to making daily reports, still use a manual system, so activities are ineffective and inefficient. The research aims to produce a design for a Web-Based Patient Medical Record Application at the Rohil Medika Clinic, which makes monthly patient visit report information and patient medical record report information that aligns with the needs of the Rohil Medika Clinic. The data collection method was obtained by observing and interviewing Rohil Medika Clinic Leaders and other medical workers. Data processing begins with evaluating the Clinic's needs and then designing the system design, interface, system coding (implementation), and conducting system testing. The research results based on trials show that the application can handle patient administration, patient examinations, and patient medical records and save time searching patient data by up to 67.6% to 90.9%. Medical record applications also increase clinical services from 25 patients to 45 patients/day to 45 patients to 95 patients/day. The system can also provide information on daily and monthly patient visit reports, medical records, and patient data reports.
Pengaruh Self-Efficacy Terhadap Hasil Belajar Matematika Pada Pembelajaran Tatap Muka Terbatas

The achievement of learning outcomes is usually influenced in students, one of which is self-efficacy. This study aims to determine the effect of self-efficacy on mathematics learning outcomes for students at 9th grade of MTsN 5 Sleman in limited face-to-face learning. This study uses a quantitative approach ande the type is survey research. The data collection instrument used a self-efficacy questionnaire and mathematics learning outcomes were obtained through a daily assessment test of geometric transformation material. The analytical technique used descriptive statistical analysis and inferential statistical analysis, namely simple linear regression. The results showed that: (1) the contribution of self-efficacy influence of independent variables on the dependent variable mathematics learning outcomes by 2.3% and the remaining 97.7% is influenced by other variables not examined, (2) the analysis results showed that the value of thitung = -1.135 &lt;t???????????????????? = 2,005 with significant value = 0.261 &gt; α = 0.05, so there is no influences of self-efficacy on learning outcomes math class IX students MTsN 5 Sleman-face learning is limited, which means influenced by other factors which is not the focus of this study. Keywords: mathematics learning outcomes, limited face-to-face learning, self-efficacy
Social performance study of virtual image on social media

At a time when the whole world is preparing to enter the metaverse life, people on various social media platforms can realize the ideal role setting through technological means, ranging from the choice of avatar to language expression habits, audio and video dynamic images, etc. However, contradictions inevitably arise between the real self and the virtual image. In this paper, we will explore and discuss the contradictions between people's real selves and virtual characters on social media from the perspective of Social Performance Study, and try to study the solutions from the intersection of sociology and performance disciplines.
Investigation on Chinese Function Words and Construction of Generalized Function Word Knowledge Base in Natural Language Processing

The study of function words in Chinese has a long history and has achieved fruitful results. However, most of the existing research on function words is human-centered, and it is difficult to avoid subjective and vague description of the character characteristics of function words. Therefore, it is difficult to apply it directly to the research of Natural Language Processing (NLP). From the perspective of computational linguistics, and combined with the existing literature and the People’s Daily of part of speech tagging and its corpus, this paper aimed to provide some scientific basis for the use of function words in Chinese. This paper mainly explains the theory and method of conjunctions and phrases in Chinese function words. This paper integrated, proofread and identified Chinese function words through various kinds of dictionary corpus, and the knowledge base was constructed. By comparing the two preprocessing models in NLP, this paper mainly compared the function word recognition rate, text, grammar, semantics, lexical resolution, and the amount of training text data. The results showed that the ELMo model improved the recognition rate of function words by 14.5% compared with NNLM model in the constructed knowledge base, and had a higher understanding of all kinds of grammar and morphology. There would also be more text data for training. However, the NNLM model would be more stable in the amount of training text.
ACTIVATION OF COGNITIVE ACTIVITY OF STUDENTS BY MEANS OF INTERACTIVE TECHNOLOGIES

In the article the features of interactive methods of teaching, are analyzed and the rules of using interactive methods of teaching, as well as different approaches to their classification, are examined. The article reveals the essence and features of interactive teaching methods, describes the characteristics of their varieties and the theoretical substantiation of these methods as effective means of enhancing students' cognitive activity in the educational process of the university. The difference between interactive learning and any other, more traditional, is that it provides learning interaction not only between teacher and students. Students themselves also actively interact with each other in search and creation of new knowledge or in the process of formation and development of new skills and abilities. Feature of interactive forms of learning – a high level of mutually directed activity of the subjects of interaction, emotional, spiritual unity of the participants. The expediency of introducing interactive learning technologies is due to the possibility of transforming the educational process (due to their implementation) into co-learning, mutual learning (collective, microgroup, group, collaborative learning), where student and teacher are equal, equal subjects of learning. The teacher's choice of one or another interactive learning technology is determined by the specialty that students acquire, the content of the discipline, the subjective, professional experience of the teacher, as well as the stage of professional training of students. As a research result it is noted that the use of role-playing games promotes students' cognitive activity, increased interest, etc. Participation in the project work facilitates the acquisition of skills such as searching, highlighting, analyzing, structuring the necessary information; ability to integrate information from different fields of knowledge.
The Relationship between Self-management and Learning Flow in High School Students: Focusing on Mediating Effect of Career Maturity

This study examined the relationship between self-management competence and learning flow among high school students and verified the mediating effect of career maturity. This study was conducted by surveying 174 students in the first and second grades of B High School located in A City, Gyeonggi-do, and analyzing the data collected using SPSS 29.0 program. The results showed that the correlations between high school students' self-management competence, learning flow, and career maturity were all significant, and the partial mediation effect of career maturity was verified. this study suggested to foster self-management competency, a core competency of the 2022 revised curriculum.
A Study on the Subjects of Textbooks for Korean as Liberal Arts: Focusing on the Culture of College Life

This study aimed to examine the subject of liberal arts Korean textbooks for international college students studying in Korean universities, focusing on culture of college life, and to explore future tasks. Based on previous studies, the culture of college life were classified into seven categories. In addition, as a result of analyzing textbooks for three types of academic Korean learners based on this, it was found that the contents of the 'interpersonal relationships' category need to be supplemented first. Second, it is necessary to select and arrange culture of college life items to be reflected in the textbook in consideration of the appropriateness and diversity of the subject, and the needs of learners. Finally, it is necessary to consider how to integrate culture of college life into textbooks, and not simply provide information on the system or explain and deliver related manual.
Exploring the Significance of Integrated Movement Activities on the Creative Physical Expression of Pre-Service Early Childhood Educators

This study aims to investigate the impact of integrated movement activities on the creative physical expression of pre-service Early Childhood Educators participating in a child movement class. The research involved 68 students from the Department of Early Childhood Education during a 15-week course. Data were collected through unstructured interviews, reflective journals, simulated lesson evaluation forms, and researchers' field notes. The content was categorized and analyzed through a process of thematic classification. First, pre-service Early Childhood Educators began the classes with a sense of apprehension towards movement activities. However, as they integrated movement activities with art, confidence and interest were cultivated. Second, pre-service Early Childhood Educators integrated the topics of integrated movement activities with what they learned in theory, experiencing them as a method of practical knowledge. Third, pre-service Early Childhood Educators extended their prior experience with integrated movement activities into creative physical expressions, including elements like imagination, inference, and embodied representation. This study seeks to find significance in that it explores the practical knowledge potential in child movement activities, demonstrating that integrated movement activities, combining art and physical activities, enable pre-service Early Childhood Educators to experience and extend diverse and specific creative physical expressions.
Current Status and Challenges of Literature Education in Taiwanese Korean Language and Literature Programs: Focus on Undergraduate and Graduate Curriculum Offerings and Contents

The purpose of this paper is to examine the current status of 'literary education' in the Korean language and literature major in Taiwan and to propose tasks for the activation of literary education. Universities in Taiwan that offer education in the Korean language and literature major all have a fundamental foundation for Korean literature education. However, despite this, there has been no research conducted specifically examining the aspects of Korean literature education in Taiwan. Therefore, this paper meticulously reviews the current status of Korean literature education at National Chengchi University (NCCU), Chinese Culture University (PCCU), and National Kaohsiung University (NKU) of Hospitality and Tourism, which are institutions conducting Korean language and literature education in Taiwan, focusing on the establishment of literary courses and their contents. Based on this analysis, the paper discusses tasks for the activation of literary education in the Korean language and literature major in Taiwan. With this initiative, we hope to contribute meaningfully to the development and growth of the Korean language and literature major in Taiwan, becoming a significant pillar alongside Korean language education.
Classification and Case Studies of Innovation in University Education: A Focus on University Innovation Support Project

The purpose of this paper to explore recent innovation cases of university education. To this end, domestic universities’ innovation programs which received an evaluation of A grade in University Innovation Support Project(UISP) were analyzed. in addition, the existing contents of educational innovation that domestic universities are already implementing were analyzed. As a result of a comprehensively examining the contents of the research topic, an analysis framework consisting of four areas (undergraduate system, education content, education method, educational environment) and 8 sub-divisions (major system, credit system, degree system, AI・SW education, shared university, performance management) was developed. And detailed programs for each area were analyzed. The results of the study will provide a solid ground for exploring the education innovation of university education.
Brief Study on the International Student Attraction Policy ‘Study Korea 300K Project’

The purpose of this study is to examine whether the contents of the Study Korea 300K Project, jointly announced by the Ministry of Education and related ministries on August 16, 2023, is pursuing the same direction in attracting top talent that our government is currently aiming for. To do so, government policy reports, academic papers, and related reports were closely examined using the literature analysis method and the gap between the policy and field were organized. As a result, it was found that Korea’s international student attraction policy was intended to solve various purposes such as the problem of population decline, revitalization of local universities, replenishment of university finances, and solution to manpower shortage. Therefore, it is necessary to secure the identity of international students first, in a long-term perspective, and create realistic job and settlement incentives that are tailored to their majors and levels.
Proposal of Musical Music Director Curriculum Focusing on Core Competencies: A Case Study on Overseas Musical Music Director

The purpose of this study is to propose an educational curriculum for musical music directors. As a research method, we investigated the competencies of professional music directors and analyzed cases of ‘Music Theatre Direction’ major curricula at Rider University ·Webster University·Baldwin Wallace University in the United States. This case was examined based on the core competencies targeted by the Ministry of Education, and in-depth interviews were conducted with three experts who both work in musical education and field work to verify feasibility. As a result, musical music director education was complexly linked with other subjects such as theater· musicals· and dance, based on music education of knowledge and technology. Through these complex subjects, social skills of collaboration and communication can be developed, and furthermore, it has been shown to affect one’s own planning· design and execution·defense and argument. This study has meaning in providing the basis for the Musical music director curriculum, and will provide an academic viewpoint in that it bridged the gap between field work and educational institutions.
The impact of the government's SME smart factory construction support project on corporate performance - Focusing on Smart Meister support companies

Purpose The purpose of this study is to confirm the effectiveness of the government's Smart Meister dispatch project for SMEs, and to examine whether the purpose of participation and the appropriateness of operation have a significant effect on consulting satisfaction and performance.Methods The survey for this study was conducted online using Google Forms. In 2022, 402 companies responded to a survey targeting companies participating in the Smart Meister support project of the MSS(Ministry of SMEs and Startups), and analyzed using SPSS 23.0 and AMOS.Results The clearer the purpose of the company's participation in the government-supported project and the more appropriate the operation of the Meister system, the higher the satisfaction with guidance by Meisters, which was linked to high leadership performance. In addition, it was found that there was a direct and significant correlation between Meister's consulting satisfaction and performance.Conclusion In order to successfully dispatch Meisters to support SMEs' smart transformation, proactive efforts such as clarifying the purpose of participation at the enterprise level and securing the appropriateness of system operation at the government level are required.