Reviewerly/exHarmony huggingface dataset:
Learning to Write Persuasive Text Using Advertising Media for Students in High School Education Units

The purpose of this research is to analyze persuasive text learning using text as a medium to write persuasive text for learners in high school.The research method is a library study with reseracher himself as the main research instrument.The results of the study show that learning persuasive text at high school using ad text as a medium in writing persuasive texts results in an effective outcome.This is evidenced by the results of previous research that the authors examined.In the study it was discovered that after asking learners to write persuasive text with the help of advertising media, the ability to write persuasive text for learners increased, rather than before, because the text of the ad has the same characteristics as persuasive text, which invites and affects the reader.This means that learners succeed in learning to write persuasive text because the learning process uses advertising media as a "stimulus" to write persuasive text.Thus, learning to write persuasive text using ad media in high school can help teachers and students in the process of learning persuasive text.
The Role of Teachers in Developing Literacy for Children aged 4-6 Years in Ruteng Inviolata Kindergarten

This study aims to dig deeper into what and how the role of teachers in developing Literacy for children aged 4-6 years so that children have the readiness to attend education at the next level, namely education in elementary school.The method used is a qualitative research method with a case study approach.The research subjects were 4 class teachers in group A and group B. The data collection methods used were interviews, observation, and documentation.The data analysis used is a holistic analysis using the following stages, namely categorizing the findings in the field according to the theme and research focus, describing each category in the field so that it can be used to answer existing research questions, interpreting the findings in the field, discussing the results of the study, carried out by comparing the results of interpretations in the field with the relevant literature to support the results of the study.The results showed that there were six roles of teachers in group B of Kindergarten Inviolata Ruteng in developing children's literacy skills.The five roles are facilitator, motivator, demonstrator, inspirator and as a mentor.The teacher guides the child during the introduction of literacy, reading and writing.
Insurance fraud detection: Pre-emptive analysis and prevention

Insurance companies have been facing the problem of false insurance claims, costing resources and money in detecting fraudulent claims among the many true ones.Many times, fraudulent claims are mistaken for genuine claims, and genuine ones mistaken for fraudulent claims.This paper aims to develop a Machine Learning algorithm to detect fraudulent claims and distinguish them with genuine claims.This project also aims to compare other algorithms and see which one is the most effective to deal with this growing problem that the insurance industry is facing.
Learning English for Bilingual Primary Students in Indonesia: The Use of Own-language

As a world phenomenon, bilingualism is nothing new, particularly in countries where more than one language is spoken.Indonesia is one of the countries where citizens incorporate national and traditional languages into their daily life.As an international language, English is a bridge between nations to exchange many aspects of life.Due to that, many countries incorporate English as one of the compulsory subjects at schools.How should Indonesian primary students' bilingualism help them learn English? by using a library search, this paper tries to answer the question by suggesting different notions from scholarly works to enhance primary school students' English learning with their bilingual background.This paper argues that students' language should be addressed due to its potential to strengthen new language learning.
Scarecrow XR

Scarecrow XR is one of a kind XR immersive performance using cutting-edge technologies of metaverse platforms, motion and facial capture, haptics, and volumetric scan.
Creating Intimacy and Connection Through Live Theater in VR

Looking at how we create an environment of intimacy and trust in an intimidating environment like VR. Using techniques from immersive theater, improv and stage, we are able to have audiences from around the world, engage in vulnerable discourse and experience emotional journeys and connection in a strictly virtual world.
Keep Smiling

Keep Smiling is an online interactive experience in the form of a job interview conducted by an AI agent. The agent asks the participant to smile, to smile even more, and to count objects she/he can see through a nearby window while continuing to smile.
Visualization Research: Scoping review on data visualization courses

Understanding data visualization as one of the foundational skills of the 21st century, this research aimed to define up-to-date guidelines to effectively teach data visualization courses and–from there–developed the first version of a new data visualization course. To do so, it faced the following questions: What is the current role of data visualization in higher education? What have been the main trends in data visualization courses in higher education? What methodologies have been used to teach data visualization courses? What difficulties have been identified in data visualization courses? What recommendations have been offered by previous professors that have taught this kind of courses? Considering this broad set of questions, the research was developed as a scoping review that served to collect hundreds of publications from where 22 peer-reviewed articles published between 2008 and 2021 were finally selected and analyzed. Among the most important results, the research found that data visualization interest in higher education has been growing exponentially and data visualization courses prioritize practical exercises over theoretical content. Some of the most common recommendations synthetized through the review suggested to select topics that the students should find interesting to promote their engagement. Also, several authors recommended to start the visualization process as soon as possible and spend the least possible time on learning tools. Finally, the results of this review should be useful to support and promote new data visualization courses while they were already used to create the first iteration of a graduate and upper-level undergraduate professional elective course on data visualization under the title Visualization Research. The review and assessment of this course will be the next step of this research process.
Appraisals Analysis on the Argumentation Structure of Indonesian Undergraduate Students’ Research Articles

This research aims to analyze the argument structure of undergraduate students’ research articles that focus on the introduction section. The data collection was conducted by analyzing the proceedings in the "Background" section written by undergraduate students at university in Indonesia. The data were then analyzed by using a corpus. This research found type of argument of this study were proclaim, disclaim, entertain, and attribute. The lexical choice that was used proclaim with a total of 46. The lexemes entertain a total of 37. The next lexical choice that was used is disclaim with a total of 33. Finally, attribute a total of 26 as the lowest engagement in appraisal.
The Use of Powtoon in Teaching Reading Recount Text

This research is motivated by the development of Powtoon-based learning media. Powtoon media is a web-based application provided for users to create animated presentations using images, provide music. The advantage possessed by powtoon media is that it is able to provide various animated cartoon displays that can attract students' attention to pay attention to the lessons delivered by the teacher. Lessons for the 2021/2022 academic year. This classroom research was carried out in three meetings. The author used one group pre-test and post-test design. Respondents in this study were 4 students of class X IPS-1. The results of this study. Based on the research that has been done, it can be proven by using the results of the pre-test score obtained that has a score of 50,75 and the post-test score has 75,25. The test score has increased with an increase in value of 24,05. Based on this research, it is proven that learning by using video powtoon will have an effect on increasing learning outcomes. Therefore, the powtoon learning media is proven to be able to improve learning outcomes, especially for class X students on recount text.
An Analysis on Students’ Errors in Determining Past Regular and Irregular Verb at Second Grade of SMP Negeri 1 Bintan

This research aims to investigate students’ errors in determining past regular and irregular verbs. The formulation of the problem in this research are: 1. How is students’ ability in using past regular and irregular verb form? 2. Which past verb form is mostly misused? This research is about analyzing students’ errors at second grade of SMP Negeri 1 Bintan. The population of this research were 245 students. The researcher only took 32 students as the subject of the research. There is 1 test instrument used to collect the data. The researcher distributed the test in the form of daily conversation. To analyze the data, researcher classified the students’ errors into excellent, good, fair, and poor. After analyzing the data, it was discovered that the mean score of students’ ability is 75 which means that students’ ability in determining past regular and irregular verb belongs to good category. While, the mostly misused past verb form is irregular verb. This is because irregular verb differs from the regular tense form. It is suggested that students should memorize about the past irregular verb and should know the formula in the regular verb.
CULTURAL DIMENSION OF PROFESSIONAL TRAINING OF FUTURE TEACHERS

The implementation of the cultural dimension of the professional training of future teachers will greatly contribute not only to the tactical task of improving the quality of domestic higher education, but also to the strategic goals of our country and its European integration, particularly in the field of education.The purpose of the article is to determine promising ways of implementing the cultural dimension of modern pedagogical education in the conditions of domestic institutions of higher education.The application of such a theoretical method of scientific research as the analysis of scientific sources regarding the cultural dimension of modern pedagogical education made it possible to prove the relationship and interdependence of education and culture.In the article, the essence of the «culture» phenomenon, which is considered from the positions of axiological, activity, personal, information-semiotic and systemic approaches, is carried out with the help of synthesis, generalization, explanation and clarification.The perspective of applying systemic definitions of the studied phenomenon as a set of social achievements, supernatural, man-made orders and objects demarcating man and nature has been proven; as a specific system of values, norms, meanings, which are constructed by people for the purpose of recording and broadcasting socially significant information, experience, technologies, characteristic of a certain level of development of society or its part.The essence and prospects of introducing a cultural approach into the practice of higher pedagogical education are revealed, which provides the possibility of analyzing pedagogical phenomena and processes through the prism of cultural concepts, rethinking the methodological foundations of professional formation and development of future teachers from the standpoint of culture through and thanks to its mastery, appropriation and enrichment.
Libyan Students' Perception of the Good Teacher: A Study in the English Department at Sirte University

This study was set to investigate the Libyan students’ perception of a good teacher. In doing so, the study adopted a qualitative and quantitative design. The data was collected through an open and close-ended questionnaire. The data was then analysed manually. The findings have revealed that the teacher-student relationship, instructional competence and the teacher's personality were considered to be important in determining the quality of a good teacher by the students understudy. The findings also revealed that the students understudy tend to view good teachers as those who are patient, confident, knowledgeable about the subject matter, respect the students, cares about the students, treat the students fairly and equally, sensitive to the students' problems and encourage the students. These findings are believed to give teachers an idea on how their students view them which could help teacher to change/develop/improve their own style/way of teaching to suit their students’ needs and expectations.
A Review on Age and Gender Recognition Using Various Datasets and Deep Learning Models

Abstract: Age and Gender are two facial potentials play a principalrole in the society. An instinctive age and gender appreciation have a massive numeral of real-world uses that comprises a consumer facility, the priority voting system, medical diagnosis, the human computer communication. Deep learning methods are usually used in utmost researches and attained to progress the performance too. Relating dissimilar deep education models and evaluating the enhancement in exactness leads to complementary studies. The chief aim of this paper is to achieve detailed examination of age and gender credentials through numerous datasets and deep learning prototypes. In this paper, the growth made by, deep learning prototypes are highlighting the assistances addressed; the prototypes and dataset used are estimating the acclaimed method with the concerns attained.
Secure Decentralized Vehicle Sharing System Using Blockchain

Abstract: Shared vehicles provided by car-sharing systems can help address several issues in cities, such as reducing the use of personal cars. The popularity of the Internet of Things has made it easier for people to access shared cars through simple mobile operations. However, the car-sharing system has vulnerabilities in terms of security, such as sensitive user data transmitted through public channels, which could be accessed by attackers for illegal purposes. Therefore, it's crucial to establish a secure authentication protocol. In addition, the traditional centralized car-sharing system has a single point of failure, necessitating a decentralized car-sharing scheme, which was proposed in this study using blockchain technology. This model ensures data integrity and offers a decentralized vehicle-sharing service with anonymous authentication of participating entities. The proposed car-sharing system provides mutual authentication, protects against several attacks, and was analyzed for computation and communication costs. The proposed blockchain-based decentralized car-sharing scheme has several advantages over the traditional centralized model. For example, it eliminates the need for a trusted third party. the proposed blockchain-based decentralized car-sharing scheme offers a more secure and efficient approach to car-sharing, addressing several security issues associated with traditional centralized models. It ensures data integrity and provides mutual authentication while offering anonymity to participating entities, making it a promising solution for car-sharing systems in smart cities. to maintain the integrity of the system, as blockchain technology is based on a distributed ledger that allows participants to validate transactions. Additionally, the anonymity of the participating entities ensures privacy while providing security against unauthorized access to sensitive data. Moreover, the proposed scheme's security was analyzed using several methods, such as informal analysis, AVISPA simulation, and BAN logic evaluation, to ensure the system's resilience to various attacks.
A Reliable E-Voting System Using Blockchain

Abstract: We place a great deal of importance on our electoral system as a society. As a result of the election system, we developed the future of our nation and country. Technological advancements andinventions are very easy to come by in the modern world. Nowadays, everyone wants a sophisticated lifestyle and rapid speed. In this technology when the development of the nation is mandatory then trusted technology is also mandatory. Blockchain technology is secure and end-to-end encrypted. When the technology meets the human correct needs then technology correct use is invoked. We are using blockchain technology to create a secure voting system that eliminates concurrence. Blockchaintechnology is a decentralized, disruptive, encrypted voting system that is necessary for the current era. E-voting systems designed for end-to-end encryption, security, portability, user-friendliness, and preference are described in this paper.
Channelizing Machine Learning Towards Early Threat Detection and Prevention Against Women Using Surveillance Cameras

Abstract: Closed Circuit Television Systems (CCTV) are being used in a growing number of office buildings, housing developments, and public locations. Many towns now have CCTV surveillance systems in place. Such monitoring systems create a tremendous load for the CCTV operators because the number of cameras views a single CCTV operator can process is constrained by human considerations. Surveillance automation of public places assumes an important role in proactively detection of possible threat to public and in maintaining law and order. Based on a review of the existing approaches followed in monitoring of crowd behaviours and the techniques applied, especially in public places like bus stands, railway stations and airports, the paper proposes surveillance automation i.e., automating the process of detecting, recognizing the suspects and suspicious behaviour of the people in the crowd. Here, in this project called channelizing machine learning towards early threat detection and prevention against women using surveillance cameras, we propose algorithms that are capable of alerting the human operator when: (1) Presence of a inhuman act, after setting zones of interest and danger zones within those zones of interest, the danger is detected when someone follows a women on streets, roads or any other public places, which can reduce the number of sexual harassment and other forms of sexual Algorithms violence in public spaces; (2) An abnormal behaviour of a person such as handling some objects abnormally; (3) In this project, our main aim is towards women safety and also we concentrate on reducing the amount of false alerts and to enable a real-life use of the system.
Critical Patient Monitoring and Alerting System

Abstract: In recent times as the world is facing many challenges in the sector of politics, economy, weather, social etc health still remains the top priority for everyone. In the field where the need of the professionals is always rising no one can get constant surveillance .For the very need we have come up with a system that can help us with the surveillance of the critical patients. The system that we suggest can help us with the finding the needs of the patients.The system has an alerting feature as well that will alert the doctor on call or the person in charge if the heartbeat of the patient is disrupted.
Complaint Box App Implementation Using React Native

Abstract: This paper presents the implementation of a complaint box app using React Native, a cross-platform mobile app development framework. The app allows users to submit complaints and suggestions, while the admin panel enables complaint handlers to manage complaints and communicate with users. The app features user authentication, complaint submission, complaint tracking, and real-time communication, while the implementation involved designing the user interface, integrating it with a backend system and a database, and testing its functionality. The paper discusses the benefits and challenges of using React Native for mobile app development and how it can be leveraged to build scalable and efficient complaint box apps. Overall, this paper presents a practical and effective approach to implementing a complaint box app using React Native with an admin panel, which can help organizations capture user feedback and improve their products and services.
Token Generation through Cashless Transaction with RFID

Abstract: Digital transformation means the adaptation of the power of new technology to create a better experience for users. As part in the digital world our project aims to create a payment system for students inside the college. So, we have developed a payment system that enables students to pay with their ID cards inside the campus like stationary, canteens, food courts and hostellers can pay their mess bill. Our project utilizes RFID technology and Raspberry Pi to create a seamless payment experience for students using their NFC-enabled student ID cards. Students and cashier can also track their transaction in mobile application that are developed. Also, Students can easily recharge their ID cards using the mobile application. This system provides a user-friendly, efficient, and secure payment option that reduces the need for physical exchange of cash or sensitive payment information while using third party apps.
Исследование p-i-n-фотодетектора с поглощающей средой на основе InGaAs/GaAs квантовых яма-точек

The static and dynamic characteristics of waveguide photodetectors with an absorbing region based on InGaAs/GaAs quantum well-dots were studied at room temperature. The absorption band of InGaAs/GaAs quantum well-dots is in the spectral range from 900 to 1100 nm. The waveguide photodetectors have a width of 50 µm and a length of the absorbing region from 92 µm to 400 µm. A low dark current density (1.1 и 22 μA/cm^2 at -1 и -20 V) and cut off frequency of 5.6 GHz, limited by the time constant of a parasitic equivalent electric RC circuit, were obtained.
DESKRIPSI GANGGUAN DISLEKSIA PADA SISWA SEKOLAH DASAR KECAMATAN SEGEDONG

Students who have learning difficulties are different from children who have learning problems. learning difficulties in this study focused on impaired children's ability to distinguish letters and write numbers. One of the learning difficulties experienced by students is dyslexia. The purpose of this study was to determine student learning difficulties (dyslexia) of elementary school students in Segedong District. The method used in this research is descriptive method. The stages of the method in this study were in the form of instrument design, interview data collection, observation and data analysis. Based on the results of the study there were 10 students who had symptoms of dyslexia out of a total of 133 students or 7.5% of students who had dyslexia. Most symptoms