Reviewerly/exHarmony huggingface dataset:
Investigating The Roles of Social Media on Attitudes of Secondary School English Language Learners

Social media has become an integral part of the lives of adolescents worldwide, including in the context of education. In Malaysia, where English is taught as a second language, understanding the roles of social media on attitudes of secondary school learners is of particular importance. Nevertheless, the specific impact of social media on students' motivation in English language learning in Malaysia remains underexplored. This research investigates the types and roles of social media towards the attitudes of secondary school students in English language learning in Malaysia. The quantitative study involved 185 secondary school students from Perak. Questionnaire was conducted to gather insights into their perceptions, experiences, and motivations related to using social media for English language learning. Additionally, quantitative measures were employed to assess the correlation between roles of social media and attitudes of students. SPSS was used to analyse the frequency, percentage and overall mean score. The study highlights WhatsApp as the preferred social media platform among participants. Results indicate that students possess positive attitudes toward using social media for English language learning. This research has important implications for educational policymakers, teachers, and curriculum creators since it will help to design successful ways and recommendations for incorporating social media into English language learning environments. The research shows that by leveraging the unique capabilities of social media to foster a positive disposition towards the English language and enhance student engagement, educators can create more effective and engaging learning experiences for all students.
92 Days of Winter: A mixed-media experiment embracing uncertainty and imprecision to locate reassurance in place

Our first COVID-19 winter was a time riven by doubt, suffering and existential uncertainty. For many, those experiences hampered, at least initially, our creative inclinations. However, with the benefit of hindsight, the early stages of the COVID-19 pandemic have come to be associated with unexpected creativity. For me, a routine of visitation, documentation and mixed-media making provided a creative outlet to try and make some sense of the mass disruption we faced. Place, it has been said, is a site of self-identification (Gibson, 2015c) and where meaning is made (Plumwood, 2008) and so it was for me. Each day of that arduously uncertain first COVID-19 winter, all ninety-two of them, I visited Cape Paterson’s Bay Beach, an unpredictably beautiful and endearing parochial place on Australia’s southeast coastline. Using a routine guided by respectful visitation (Muecke, 2008) and aesthetic noticing (Brasier, 2017), I scribbled notes and took Polaroid photographs to document different aspects of that personally significant place. Heeding Ann Hamilton’s (2010) call to work from what you know but also what you don’t know, it was a routine that embraced ambiguity, imprecision and the affordances offered within mixed-form making methods. The resultant work, ‘92 days of winter: swimming, walking and watching’, encompasses lyrical mixed-media amalgamations chronicling a particular place, its character, and its indifference to a time of immense disruption. This essay offers a self-reflexive examination of how uncertainty, imperfection and hybrid making practices can offer affecting creative prompts when interrogating the complex, intimate and contested nature of personally significant places.
Research and cultural metadata exposed using APIs: steps on the interoperability road

The wealth of data available to the researchers and to the curious citizen seems limitless today. For this reason tools able to retrieve and put together pieces of useful data are in growing need. This study is looking into Application Programming Interfaces as means to establish an ecosystem fostering data interoperability for persons and machines. The research and culture landscape is in a continuous need for accessing to data and metadata. For this reason, a set of the most representative service providers were investigated through the filter of data accessibility, and how the data provided fit the needs of possibly machine-assisted tools. The providers are well established actors in the scholarly communication arena with a host of some from the culture heritage field. A supplementary set of trusted repositories which are recipients of CoreTrustSeal (CTS) were investigated in searching for interoperability extensions via APIs.
English Teachers’ Roles on Mobile-Assisted Language Learning-Based Strategies during Emergency Remote Teaching in 11th Grade of SMK Negeri 1 Denpasar

This study aims to determine the roles of teachers and the problems found when using MALL-based strategies in SMK Negeri 1 Denpasar during Emergency Remote Teaching. This study is a mixed-method design. The respondents were 8 English teachers. There are three instruments used in this study namely, questionnaires, observation sheet and interview guide. The results of validity show 1.00 while the results of reliability showed .874. Quantitative data analysis used descriptive statistical analysis and qualitative data were used interactive model analysis. The results of the questionnaire refer to Very True of Me and True of Me, meanwhile the results of the observations identified that 7 of 8 teachers had been practiced this role. In interview session with the teachers the problems found are 1) as a facilitator, not all of the students can answer well in quiz, 2) as a resource developer, many students think English is a difficult subject, 3) as a counselor, many students did not attend the online classes, 4) as a manager/organizer, lack motivation in learning, 5) as a participant, teacher does not take part in discussions and 6) as a controller, have not been able to control all of students activities in using MALL. Further, teaching by technology can be applied continuously for future learning, either for full or as blended learning.
PENERAPAN METODE PEMBELAJARAN THINK TALK WRITE (TTW) TERHADAP KETERAMPILAN MENULIS PUISI PADA SISWA SEKOLAH DASAR

This research aims to provide an overview of the application of the Think Talk Write (TTW) learning method to poetry writing skills in elementary school students. The method used in this research is Systematic Literature Review (SLR). This research was carried out by collecting data using various journals related to the required research variables. The data source used in this research is a journal or scientific article related to the application of the Think Talk Write (TTW) learning method to poetry writing skills in elementary school students using the classroom action research (PTK) method. It shows that the results of research in cycle I average value The students' average was 74.71 and in cycle II the students' average value increased to 81.71, so that the results of research using experimental research methods (quasi-experimental) based on the results of hypothesis testing can be seen tcount &gt; ttable or 2.7936 &gt; 1, 68, so Ho is rejected. The indicators for poetry writing skills are title/theme, word choice (diction), rhyme, imagination, message, imagery, language style and typography. Thus, the application of the Think Talk Write (TTW) learning method has a significant influence on elementary school students' poetry writing skills. The implications of this research are very effectively applied using the Think Talk Write (TTW) learning method for poetry writing skills.
Students' Perception of Audio Visual in Teaching Listening Skills on the Second Grade Students of SMP Negeri 3 Majene

Listening is the act of focusing on hearing something or the act of paying attention. Teaching listening skills to students who are learning English as a foreign language is a challenge for teachers. The purpose of this study was to determine students' perceptions of the use of audiovisual media in listening classes among the second-grade students of SMP Negeri 3 Majene. This study used qualitative research. Questionnaires and interviews served as the instruments. Findings showed that the students have a positive perception of audiovisuals because the use of audiovisuals in learning listening skills makes it easier for students to understand the material provided and interact with friends during the lesson. Audio-visual media is attractive, effective, relevant, and motivating for students in listening activities&#x0D;
Fuzzy Inference System-Based Collision Avoidance of Unmanned Aerial Vehicles Optimized Using Genetic Algorithm

Fixed-wing Unmanned Aerial Vehicle (UAVs) cannot hover in potential collision scenarios as flying lower than critical speeds results in the stall of the aircraft. Hovering is also not an optimal solution for Collision Avoidance (CA) as it increases mission time and is innately fuel inefficient. Thus, an algorithm that ensures the continuous motion of UAVs during CA while maintaining maximum mission performance is needed. This work proposes a decentralized Fuzzy Inference System (FIS)-based resolution algorithm that avoids potential stall speeds during CA and is optimized using a genetic algorithm to minimize path deviation during a given mission. The mathematical model of a fixed-wing UAV in this work considers coordinated turn condition. They are assumed to be equipped with range-bearing sensors to observe potential intruders in a three-dimensional environment. The UAV guidance model uses a PD control of commanded airspeed, bank angle, and flight path angle obtained for desired path variables - airspeed, heading, and altitude which in turn are obtained using lookahead point generated for given waypoints. The optimized FIS mimics the pilot behavior during collision scenarios to provide modulation parameters for desired path variables and achieves CA while ensuring minimum path deviation. FIS optimization was conducted using a pairwise conflict scenario and tested for several pairwise and multiple UAV scenarios. Multiple simulations conducted within a given functional space with random conflict scenarios of multiple aircraft yielded effective CA with minimal collisions and overall path deviation; thus, validating the effectiveness of the proposed CA algorithm.
Gesture Hub Design: A Remote User Study Method for Evaluating the Quality of Experience in Mobile Phone-Based Gesture Interaction

As a key facet of the mobile user experience, mobile phone-based gesture design has established its importance in the competitive landscape of leading manufacturers. Mobile phone-based gestures, distinguished by high cognitive load and metaphorical nature, contribute to a continuing divergence between the user's subjective perceptions and the designer's official definitions in the scope of gesture design and experience evaluation. Furthermore, the obstacles presented by the COVID-19 pandemic's isolation measures have curtailed short-term user involvement in gesture experience appraisals. Online user testing platforms, while providing basic research tools, fall short of adequate integration with gesture operation experience knowledge and lack sufficient validation of tool usage procedures for gesture studies. In light of a potentially prolonged COVID-19 period, our research endeavors to refine and authenticate user research techniques for gesture experience, advancing the flexibility of gesture Quality of Experience evaluations and circumventing irrelevant or detrimental research results. Informed by the literature review, the study constructed the ‘Gesture Hub’ - a user evaluation framework specifically designed for gesture experiences. Applied in a remote user testing project, this framework's efficacy was corroborated, with ensuing analysis highlighting its merits and demerits. The study broadens the user QoE evaluation methodologies in the gesture interaction arena, providing crucial direction for remote user-expert collaborations and enhancing the accuracy of user gesture experience evaluations and requirements.
An Activity Recognition System at Home Based on CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; Sensors

Activity recognition of indoor occupants using indirect sensing with less privacy violation is one of the hot research topics. This paper proposes a CO2 sensor-based indoor occupant activity monitoring system. Using the IoT sensor node that contains CO2 sensors, the measured CO2 concentrations in three locations (laboratory, office, and bedroom) were stored in a cloud server for up to 35 days starting July 1, 2023. The CO2 measurements stored at 30-second intervals were statistically processed to produce a heat-mapped display of the hourly average or maximum CO2 concentration. From the heatmap visualizations of CO2 concentration, the proposed system estimated meeting, heating water using a portable stove, and sleep for the occupants’ activity recognition.
APPLICATION OF AUGMENTED VIRTUAL REALITY TECHNOLOGY IN TEACHING CHEMISTRY IN HIGH SCHOOLS

With the robust development of the fourth industrial revolution and advancements in the field of educational science due to the integration of technology with education, Augmented Reality (AR) stands out as a promising tool for enhancing learning experiences. AR offers significant potential and numerous essential benefits in teaching and learning processes, thanks to its interactive and visual nature. This article focuses on introducing AR and outlining designs as well as proposing chemistry lesson contents integrated with AR in three formats: providing knowledge to learners; constructing hypothetical situations, simulating processes; and assessment and evaluation. By leveraging AR, we encourage students' proactive engagement and foster an interest in chemistry by making the learning experience more immersive and hands-on. AR allows students to manipulate virtual objects and conduct experiments in a safe and controlled environment, enhancing their understanding of complex chemical concepts. The potential and benefits that AR brings have facilitated groundbreaking advancements in teaching and learning at the general education level.
Opportunities and Challenges of Digital Financial Development

The historical process of financial technology is complex and diverse, tracing back to the origins of early computerized trading and evolving with the rise of the internet, mobile payments, and blockchain technology.
Contributions of search engine optimization techniques to information findability

Objective: To demonstrate the contributions of Search Engine Optimization techniques to Information Findability in digital information environments. Methods: The methodology used was bibliographic research with a qualitative approach on Search Engine Optimization techniques and Information Findability, in the field of Information Science. Results: The results indicate that Search Engine Optimization techniques play a significant role in the ability to find information on the web, by optimizing the attributes that favor content visibility in search results. Conclusions: It is concluded that the use of Search Engine Optimization techniques and technologies together with Information Findability attributes, it is possible not only to improve EI in digital environments, but also to increase relevance and authority in the online environment, allowing users to easily find the information they need, contributing to the effectiveness of information systems.
ANALYSIS OF POTENTIAL APPLICATION SCENARIOS OF 5G TECHNOLOGY APPLICATION IN NUCLEAR POWER PLANTS

In recent years, nuclear power plants are gradually transforming to intelligence, and the requirements for data transmission volume, real-time transmission distance and stability are further increased. As the next generation mobile communication technology, 5G can meet the performance requirements of large capacity, massive connection, high reliability and low delay in various scenarios. It can 'significantly improve the data transmission efficiency between any two points and reduce the data transmission cost between any two points'. With the gradual maturity of 5G technology, the application of 5G technology in nuclear power plants has become a trend. After having the idea of 5G technology and nuclear power integration, it is necessary to further demonstrate the application requirements of nuclear power for 5G technology. Based on the design characteristics and requirements of nuclear power plants, this paper studies the potential application scenarios of 5G in nuclear power plants.
Pengelompokan Kabupaten/Kota Di Pulau Kalimantan Dengan Fuzzy C-Means Berdasarkan Indikator Kemiskinan

Cluster analysis is a branch of statistical science that is used to grouping data that have similar characteristics between each other. The grouping method used in this research is Fuzzy C-Means. Fuzzy C-Means method is one of the grouping methods developed from the C-Means method by applying the properties of fuzzy sets. With the existence of each data is determined by the degree of membership. This method is applied to data from 56 districts/cities on Borneo based on poverty indicators with variables namely the percentage of average length of schooling, life expectancy, percentage of the poor, percentage of open unemployment rate, percentage of households with proper sanitation, and percentage of households with proper drinking water. This study aims to obtain the results of grouping districts/cities on Borneo based on poverty indicators and to obtain optimal cluster results based on three validity indices, namely Connectivity, Dunn, and Silhoutte values. Based on the results of the study, it was found that there were 2 optimal clusters, namely the first cluster consisted of 36 regencies/cities while the second cluster consisted of 20 regencies/cities.
Optimasi Algoritma Naïve Bayes Menggunakan Algoritma Genetika Untuk Memprediksi Kelulusan

The Naïve Bayes algorithm is classification method that uses the principle of probability to create predictive models. Naïve Bayes is based on the assumption that all its attributes are independent which can be optimized by genetic algorithms. Genetic algorithm is an optimization technique which works by imitating the process of evaluating and changing the genetic structure of living creatures. In this study, the Naive Bayes algorithm was optimized using by genetic algorithm to predict student graduation with attributes, namely gender, regional origin, admission path and employment status. The data used is the students of the Mathematics Department, Faculty of Mathematics and Natural Sciences, Mulawarman University who graduated in March 2018 to December 2020. The results of this study indicate the accuracy value generated by Naïve Bayes of 50% increased by 16,67% after the attributes were optimized by using the genetic algorithm to 66,67% with 3 selected attributes, namely regional origin, admission path and employment status
THE PHENOMENON OF A FAVOURITE TOY IN THE STRUCTURE OF COMMUNICATIVE ACTIVITIES OF PRESCHOOLERS WITH MENTAL DEVELOPMENTAL DELAY

The phenomenon of a favourite toy in the structure of communicative activities was examined via existential-ontological, axiological, existential-semantic aspects, which corresponded to the inter-subjective paradigm of psychological cognition and people interactions. The theoretical methods: deductive (axiomatic and hypothetical-deductive) methods were used for a systematic description of the examined phenomenon. The empirical methods: a summative experiment using conversations and psychological examining techniques was organised to study the phenomenon of a favourite toy in the structure of MDD’s preschoolers communicative activities. Mathematical and statistical methods: the qualitative and quantitative analysis of empirical data using non-parametric Mann–Whitney U test was applied to determine intergroup differences.&#x0D; As for the reflective component of communicative activities existing in the structure of intra-subjective interaction with a favourite toy, a third of MDD middle-age preschoolers and almost half of MDD senior preschoolers had such personal characteristics that indicated the humanization by them of their favourite toys. A favourite toy for MDD preschoolers was, primarily, an object for play, but a significant part of other examined children called a toy as an object for communication. Analyzing the obtained data, we can talk about the phenomenon of toy embedding into everyday life and into children’s picture of the world; the unity of the inner world, namely a toy’s endowment with the child’s own inner world; about identification processes with an inanimate object, moreover we noted the peculiarities of reflective decentralization (the same interests, hobbies and significant Others, a toy did the same as the child, similar details of the outside world).&#x0D; The study results allowed us to talk about the effect of mirroring a child in his/her favourite toy, which gave the child and opportunity to meet him/herself. Future research will be focused on the development and testing of a technology forming internalized identification and reflective decentralization with the help of a favourite toy as a partner of intra-subjective communication.
FEATURES OF LEADERSHIP QUALITIES OF STUDENTS-PSYCHOLOGISTS WITH DIFFERENT SELF-ASSESSMENT

The article is devoted to the leadership qualities of students-psychologists problem of theoretical and empirical analysis results. Theoretical analysis of the leadership phenomenon specifics and the role of leadership characteristics in students-psychologist’s professionally important qualities system is presented. The two areas of research related to the topic theoretical generalizations results are presented. Article present the leadership and its general characteristics phenomenon features and the leadership qualities in the context of professionally important characteristics of students-psychologists and their development.&#x0D; The results of students-psychologists leadership qualities system empirical research, its impressions in groups of respondents with different levels of self-esteem are analyzed. It is established that the students-psychologist’s leadership qualities depend on their self-esteem. In particular, students with low self-esteem are characterized by a reduced level of leadership skills, have difficulty in solving problems, have a reduced level of influence on others and the ability to work with a group. Instead, students with high self-esteem are characterized by strong leadership qualities, are able to solve problems in relationships, are able to influence others and organize a group for activities.
EXPLAINING THE BASICS OF QUANTUM MECHANICS FOR COMPUTING

Quantum computers operate on the principles of quantum logic, a fundamentally distinct paradigm from classical Boolean logic. This disparity leads to quantum computation's enhanced efficiency compared to classical computing. In this comprehensive review, we demystify the fundamental concepts of quantum computation, covering the creation of elementary gates and networks. We highlight the capabilities of quantum algorithms by examining the simple Deutsch problem and, in straightforward terms, dissect the renowned Shor algorithm for factoring large numbers into primes. Furthermore, we delve into the realm of physical quantum computer implementations, with a particular focus on tlo he linear ion trap approach. Here, we shed light on the primary challenge hindering the realization of practical quantum computers: the issue of decoherence. Nonetheless, we demonstrate that this hurdle can be overcome through the application of quantum error correction methods