Reviewerly/exHarmony huggingface dataset:
Anomaly Detection in Heterogeneous Data Using Graph Convolutional Networks

Closed-circuit television (CCTV) surveillance systems are ubiquitous tools for ensuring public and private safety. However, manual monitoring of surveillance footage is arduous and time-consuming, often resulting in delayed identification and response to potential threats. In this paper, we present a novel real-time threat detection system tailored for CCTV surveillance, employing cutting-edge deep learning methodologies, particularly graph convolutional networks (GCNs), to detect and classify high-movement levels within video frames. By treating videos as segments and delineating between anomalous (potentially threatening) and normal (safe) segments, our system facilitates continuous real-time monitoring of surveillance footage, enabling the timely identification of potential threats such as abuse, burglaries, explosions, shootings, fighting, shoplifting, road accidents, arson, robbery, stealing, assault, and vandalism. To assess the efficacy of our system, we conducted extensive experiments on a large-scale dataset comprising CCTV footage, yielding promising results. Additionally, we introduce a novel, comprehensive dataset comprising 128 hours of real-world surveillance videos, encompassing various anomalies and normal activities. This dataset serves dual purposes: general anomaly detection, and the recognition of specific anomalous activities. Our experimental findings demonstrate the superior performance of our method in anomaly detection compared to state-of-the-art approaches. Furthermore, we provide an analysis of several recent deep learning baselines for anomalous activity recognition, revealing the challenging nature of our dataset and the potential it holds for future research endeavors. Through the integration of advanced deep learning techniques and comprehensive dataset creation, our proposed system stands to significantly enhance the efficiency and effectiveness of CCTV surveillance, facilitating faster response times and bolstering security for individuals in diverse environments.
Development and Validation of Secondary School Educational Fairness Diagnostic Tool

The purpose of this study was to explore the concept and attributes of educational fairness in secondary schools and to develop and validate an educational fairness diagnostic tool. This study conducted a Delphi survey to explore the concept, factors, diagnostic areas, and items of educational fairness in secondary schools and a survey of 159 preliminary and 747 main surveys of middle and high school students to develop and validate the diagnostic tool by conducting factor analysis, reliability, and correlation analysis. In this study, the definition of educational fairness in secondary schools was defined as "the degree to which secondary students perceive that they are receiving appropriate education according to their interests, abilities, circumstances, and backgrounds in terms of opportunities, processes, and outcomes of school education.” In addition, the components of educational fairness were set as distributive fairness, procedural fairness, and interactional fairness, and through the validation process, 30 items were derived, including 10 items on distributive fairness, 10 items on procedural fairness, and 10 items on interactional fairness. The diagnostic tool developed in this study can be used to identify differences between individual variables related to educational fairness perceived by secondary students and to reveal causal relationships between variables that affect educational fairness.
Identification of Network Disruptions Using the Fuzzy K-Nearest Neighbor Algorithm in Case Based Reasoning at STMIK Pranata Indonesia

Case-Based Reasoning (CBR) is a computer reasoning system that uses old knowledge to solve new problems. CBR provides solutions to new cases by looking at old cases that are closest to new cases. This would be very beneficial as it would eliminate the need to extract models as required by rule-based systems. The main problem in this research is the frequent disruption/difficulty for students and staff to connect to the network at the Indonesian institutional system. The method used is fuzzy K-Nearest Neighbor (FK-NN) is a variant of the K-Nearest Neighbor (KNN) method with fuzzy techniques. Using case based reasoning to make it easier for the system to reason, which prioritizes the use of information and previous knowledge to represent experience as a source of learning basis for reasoning. This system can help the IT team at STMIK Pranata Indonesia to more quickly handle types of network disturbances. Testing the system using a user acceptance test produces acceptable results and is used properly according to user needs. The scoring method uses a Likert scale with acceptance results of 94% with the criteria of strongly agree. The highest accuracy was obtained from test results with K = 5 with a value of 94.33%
SOCIO-TECHNOLOGICAL ASPECTS OF DELICT AND THE ROLE OF LAW

&#x0D; &#x0D; &#x0D; &#x0D; Innovations in technology have contributed to the expansion and multiplication of opportunities for human activity and, in a sense, existence. It goes without saying that this also applies to the realm of the socially illicit and illegal, with all the possible changes, discrepancies and deviations that occur in reality. The ability to measure the extent of the criminal or deviant can help to explain not only the unprecedented impact on the field of relations, opening new ways to capture classical dynamics and giving rise to dynamics quite unlike anything else, but also to sharpen questions about the relationship between normative provisions and changes in society. This also applies to those forms that combine actions that, at first glance, belong to areas independent of each other. Therefore, when turning to theories related specifically to the sphere of digital technol- ogies, we try to include them in various contexts where they still do not play a significant role, and offer interpretive tools that can overcome some traditional classifications of devi- ant phenomena, and also call for critical revision of some abstract paradigms on which a specific part of investigative and judicial practice is based.&#x0D; &#x0D; &#x0D; &#x0D;
Navigating the Transformative Impact of Artificial Intelligence on English Language Teaching: Exploring Challenges and Opportunities

This study aims to examine the impact of artificial intelligence (AI) on English language teaching in higher education. The scope of the study was limited to the opportunities and challenges of English language teaching. This study was conducted using a mixed method of conducting surveys and in-depth interviews. A questionnaire link using Spreadsheet’s Google Form was sent to the English lecturer through the WhatsApp group and personal contact No. The study sample consisted of 16 English lecturers. Analyzing the questionnaire and interview transcript indicates that the emergence of artificial intelligence (AI) technology has created opportunities and challenges for English language teaching and learning. AI has changed the landscape of English language teaching in higher education. English lecturers utilized different types of AI for various purposes, for example, asking and solving questions and checking for grammatical errors, checking plagiarism, paraphrasing, and reviewing literature. The study also revealed that AI has a variety of advantages for language teaching and learning, including the detection of plagiarism and grammatical errors. In addition, AI has created opportunities and challenges for the future of English language teaching. AI required digital literacy to utilize. The English teaching profession might be taken over by AI in the future, so English lecturers must continuously improve their digital literacy.
An Analysis of The English Summative Test: EFL Teacher-Made Test

This study aims to determine the quality of the multiple-choice summative test items for senior high school EFL teachers in Parepare. The analysis consisted of validity, reliability, level of difficulty, and distractors. The type of research used in this research was quantitative descriptive. The subjects in this study were 33 students. The data in this study was collected using documentation techniques. Data analysis in the form of item analysis was carried out using the Biserial point correlation. The results of the study showed that the valid category was 80% and invalid are 20%. Included in the unreliable test with KR-20 &lt; 0.70 or 0,6. The difficult category was 1 item, the moderate category was 8 items, and easy category was 1 item. Distractors function very good was 70%, good category was 20%, and the quite good category was 10%. It can be resumed that the final multiple-choice test made by EFL teacher has very good quality of item validity, unreliable test, good quality level of difficulty, and very good quality distractor. Based on the result analysis of test items, it can be concluded that several good test items can still be used for the future summative test, and several test items should be revised.
Developing Vocabulary Handbook for the Eighth Grade Students of Junior High School

This study aimed to develop a vocabulary handbook for eighth-grade students at SMP Negeri 8 Palopo. The researcher used Research and Development by adapting the ADDIE model—the participants of this study were eighth-grade students of SMP Negeri 8 Palopo and three expert validators. Data were collected through observation, interviews, students' questionnaires, and expert validation. The vocabulary handbook was developed by referring to the needs analysis and adapting a task-based language approach. The appropriate vocabulary handbook as a research product consists of: 1. three units of vocabulary handbook material, namely: What are you doing? My uncle is a zookeeper, and Bigger is sometimes better. 2. Variety of activities adapted from task-based 3. Attractive layout and media 4. Other skills like listening, reading, and writing are completed with exciting grammar and vocabulary. The suitability of the student vocabulary guidebook is evidenced by the results of student and teacher perceptions that were categorized into "Very Good" classification, which indicated that the vocabulary handbook is ready to use with little revisions.
The power of quantum algorithms

Building quantum computers isn’t just about developing clever new hardware. Toby Cubitt, who co-founded the quantum-tech firm Phasecraft, tells Hamish Johnston why algorithms are vital too.
Quantum processor integrates 48 logical qubits

A quantum processor with 48 logical qubits that can execute algorithms while correcting errors in real time has been unveiled in the US.
Exemplar of Micro Strategies in Teaching Speaking in Indonesian Context

The post-method era is currently experiencing a surge in popularity within the realm of English language teaching, particularly in the context of English as a Foreign Language (EFL), such as in Indonesia. Given the crucial role of Speaking as a central element in communication, it requires meticulous attention and instruction in an EFL setting. Teachers play a pivotal role in preparing effective strategies to assist learners in achieving fluency and accuracy in spoken English. Consequently, this paper aims to expound on the recommended micro strategies derived from Kumaravadivelu's post-method framework. It delineates the macro strategies of post-method in English Language Teaching (ELT) as the foundational elements for creating micro strategies tailored to the teaching of Speaking in the Indonesian context. The article outlines ten macro strategies, which include increasing learning opportunities, facilitating negotiated interaction, minimizing perceptual mismatches, activating intuitive heuristics, fostering language awareness, contextualizing linguistic input, integrating language skills, promoting learner autonomy, ensuring social relevance, and raising cultural consciousness. Drawing on this strategic framework, the article gives illustrated instances of classroom activities and instructional tactics, dubbed micro strategies, that have been utilized to improve Indonesian learners' EFL Speaking competency.
The Empowerment of Digital Literacy Aspects in Education Policy: Supporting Young Generation's Preparability for the Digital Era Literature Review

This research aims to investigate the importance of the empowering aspects of digital literacy in education policy to support young people's readiness for the digital age. Utilizing a structured approach, this research conducted a deep analysis of the relevant literature and presented data and findings that support the argument. The literature review highlights the concept of digital literacy, its impact on everyday life, and the need for integration into the education system. The research methodology involved a critical analysis of various sources related to the topic, including scientific journals, textbooks, and research reports. The findings show that the empowerment of digital literacy in education policy has a positive impact on preparing young people for the challenges and opportunities of the digital age.orts. The findings show that the empowerment of digital literacy in education policy has a positive impact on preparing young people for the challenges and opportunities of the digital age.
Global Trends on Electronic Learning and Entrepreneurship: Bibliometric Analysis (2001 – 2022)

The use of electronic learning in entrepreneurship education will increase entrepreneurial intentions and behaviors in university students. The purpose of this study is to comprehensively analyze electronic learning in entrepreneurship globally. The research method used is VOSviewer-assisted bibliometric analysis. The review showed that there were 398 academic documents published in the Scopus database between 2001 and 2022. The results showed that the most publications occurred in 2021, and keyword identification formed 7 clusters that grouped research themes in recent years. Based on the studies conducted, this study presents a roadmap for prospective researchers as well as critical themes that are very likely for future research success.
Analysis of news article on the Cross-Disciplinary College Applications in response to National Curriculum Reform and College Admissions Reform

The purpose of this study is to analyze the impact of national curriculum reform and college admissions reform on the evolving nature of cross-disciplinary college applications and to identify the key issues associated with cross-disciplinary college applications through an analysis of news articles published by mainstream mass media outlets. For this purpose, a total of 2,371 news articles related to cross-disciplinary college applications published by mainstream mass media outlets from January 1, 1997, to Novermber 30, 2023, were collected using web scraping method, and keyword frequency analysis and Structural Topic Modeling (STM) were conducted. The main results of the study are as follows. First, over the course of 26 years, 7 topics related to cross-disciplinary college applications reported in news articles were extracted, including ‘Plans for the promotion of public education and reduction of private education expenses’, ‘Policies for supporting students with specialized talents’, ‘Early admissions procedures and support strategies’, ‘Trends of natural science students enrolling in liberal arts majors and the introduction of integrated CSAT’, ‘Avoidance of science and engineering majors and support policies’, ‘Application strategies based on admission types’, and ‘Trends of liberal arts students enrolling in natural science majors and advantages and disadvantages based on admission types and subjects’. Second, the appearance rate of topics and the major issues varied across different phases of the integrated education system. Lastly, based on the results of this study, implications regarding the issues and directions for improvement of support were derived.
Problematics of Students' Discipline Value in Academic Activities and Non Academic

Discipline is a state that is formed and trained through the values of obedience, adherence, loyalty, serenity, order, and order. This research aims to know the concepts of discipline and how to shape the values of student discipline in academic and non-academic activities on FKIP IPS Management at one of the universities in Papua. This research involved 36 students. The method used in this research is qualitative method with purposive sampling techniques. Research results show that the concepts of discipline in academic and non-academic activities are values and mental attitudes. The results of this research clarify and produce forms of disciplinary awareness of students of IPS FKIP in one of the universities in Papua, among others: a) time commitment; b) appreciation of time; c) feelings of shame, guilt and fear; d) agreement as a rule. Furthermore, the student discipline concept of IPS is part of the discipline of democracy and self-imposed discipline that arises from within because of the impulse of feelings, wills and own minds to obey or do by themselves with the emphasis of educational approach. Rules are guidelines and directions, accomplishments are rewards. If the student's attitude shows obedience and adherence, then it is awarded as an achievement.Discipline is a state that is formed and trained through the values of obedience, adherence, loyalty, serenity, order, and order. This research aims to know the concepts of discipline and how to shape the values of student discipline in academic and non-academic activities on FKIP IPS Management at one of the universities in Papua. This research involved 36 students. The method used in this research is qualitative method with purposive sampling techniques. Research results show that the concepts of discipline in academic and non-academic activities are values and mental attitudes. The results of this research clarify and produce forms of disciplinary awareness of students of IPS FKIP in one of the universities in Papua, among others: a) time commitment; b) appreciation of time; c) feelings of shame, guilt and fear; d) agreement as a rule. Furthermore, the student discipline concept of IPS is part of the discipline of democracy and self-imposed discipline that arises from within because of the impulse of feelings, wills and own minds to obey or do by themselves with the emphasis of educational approach. Rules are guidelines and directions, accomplishments are rewards. If the student's attitude shows obedience and adherence, then it is awarded as an achievement.
Structural Relationship to Variables Related to Adult Learners’Academic Engagement at the University Lifelong Education Center

This study is to analyze the structural relationship among relationship marketing, social capital, academic engagement, and learning participation period recognized by adult learners at the university continuing education center. The problems of this study are as follows. First, what is the structural relationship among relationship marketing, individual social capital, and academic engagement? Second, what is the mediating effect of social capital on the relationship between relationship marketing and academic engagement? Third, what is the moderating effect of the learning participation period on the relationship between variables? The subjects of this study were 595 adult learners at the J University Continuing Education Center. SPSS 21.0 and Amos 21.0 programs were used to analyze the structural relationship between variables, and bootstrapping was performed to analyze the mediating effect. The specific research results are as follows. First, it was found that there is a relationship between relationship marketing perception, social capital, and academic engagement recognized by adult learners at the university continuing education center. Second, it was found that the social capital of adult learners at the university continuing education center mediates the relationship between relationship marketing and academic engagement. Third, it was found that the participation period of adult learners did not moderate the relationship between relationship marketing and social capital, and between social capital and academic engagement, but moderate the relationship between relationship marketing and academic engagement. These results suggest that in order to increase adult learners' academic engagement, university continuing education centers and instructors should strengthen both variables in parallel or consider institutional relationship marketing to short-term learning participants as well as each institution's relationship marketing and learners' social capital capabilities.
Metaverse and early childhood education care: Exploring in-service teachers’ perceptions and applications in educational settings

The purpose of this study was to explore the possibility of applying the metaverse in early childhood education and care, based on the results of the analysis of early childhood education and care teachers' perceptions and opinions about 'metaverse' and 'metaverse applied education.' To achieve this goal, a survey was conducted with 112 teachers working at kindergartens and childcare centers in Seoul and the Gyeonggi province. Among them, 8 were selected for interviews, and the results were analyzed. The analysis revealed the following: First, the level of awareness of the metaverse and metaverse application education among early childhood education and care teachers was generally low. However, for teachers in their 30s with 5-15 years of experience, it was relatively high compared to other groups. Second, the metaverse application education proposed by teachers was found to be related to the curriculum areas of 'Physical Exercise and Health,' 'Communication,' and 'Social Relations' in the 2019 revised Nuri Curriculum. Based on these results, discussions and implications were presented regarding the application of the metaverse in early childhood education and care.
The Influence of the Visualization, Auditory, Kinesthetic (VAK) Learning Model Assisted by Song Clip Video Media on the Poetry Writing Ability of Class X Students of SMA Negeri 7 Medan

This research aims to determine the effect of the Visualization, Auditory, Kinesthetic (VAK) learning model assisted by Song Clip Video Media on the Poetry Writing Ability of Class X Students of SMA Negeri 7 Medan in the 2023/2024 Academic Year. The research method used is the experimental two group post-test design method. The research results showed that the average score for the poetry writing ability of experimental class students was 79.68, which was considered good, while the average score for the control class was 62.88, which was considered sufficient. Hypothesis testing shows that tcount &gt; ttable, namely, 6.17 &gt; 2.056, so the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. This proves that there is an influence of the Visualization, Auditory, Kinesthetic (VAK) learning model assisted by song video clip media on the ability to write poetry in class X students of SMA Negeri 7 Medan for the 2023/2024 academic year.