Reviewerly/exHarmony huggingface dataset:
Overview of the HASOC Subtracks at FIRE 2023: Hate Speech and Offensive Content Identification in Assamese, Bengali, Bodo, Gujarati and Sinhala

The evaluation of content moderation systems requires reliable benchmark data. This task becomes particularly formidable for low-resource languages, where obtaining or curating such data poses significant challenges. Addressing this issue, HASOC 2023 organised various shared tasks focused on identifying offensive content in low-resource languages. This paper reports on tasks for hate speech detection in several Indo-Aryan languages—Assamese, Bengali, Gujarati, and Sinhala as well as a Sino-Tibetan language, Bodo, for which limited linguistic resources currently exist. The shared task involved the compilation of multiple datasets. In total, nearly 200 runs were submitted by more than 30 teams, which are presented and analysed in this report.
E-Voting Blockchain: Enhancing The Security And Transparency Of Digital Voting

Voting is synonymous with general elections especially for countries with democratic system. In an effort to slow down the spread of Covid-19, there is a significant rise in digitalization, and this includes voting. However, concerns regarding security and integrity of the entire system have been raised. The implementation of blockchain in voting is believed can help alleviate the issues raised since blockchain are immutable and decentralized. The usage of smart contract that stores states and run when certain conditions are met can get rid of the possibility of database manipulation while still maintaining anonymity. Unfortunately, implementing an Ethereum-based blockchain is expensive as each transaction cost can cost up to thousands of US dollar. Hence, this study focuses on developing an E-Voting blockchain based prototype using a local chain platform that performs the same operations as blockchain but uses a fake currency which results in a more feasible and cost-effective result. In this context, the objectives of this study were to design and develop the smart contract that satisfies the voting requirement and lastly; to evaluate the performance and security of the developed smart contract; to test the functionality of this study’s prototype. The prototype of this study was developed using a combination of Web 2.0, PHP, MySQL, Express.js and Web 3.0, specifically Ganache, Remix IDE and MetaMask. After the development and integration phases, the prototype was evaluated and validated using unit testing, which tested each function and modules individually before being integrated to ensure full functionality of each module. A total of 20 voters were gathered to test the prototype for the user acceptance testing section of the prototype of this study which shows the viability and usability of the product. E-Voting blockchain based prototype successfully achieved the objectives and solved the problems stated in the proposal. Despite the limitations, there are still expected future works to improve the system in future. Blockchain technology has the potential to grow gradually over the next few years and its technological complexity will be able to be adapted by the users.
Development and Evaluation of An Interactive 360 Virtual Tour for Exhibition of Research and Education Facilities Using Limited Resources: A Study Case in IMERI

The Indonesian Medical Education Institute (IMERI), as the first institute of medical education and research, needs to introduce itself to the public. In the COVID-19 pandemic, IMERI faced the challenge of how to develop a virtual tour with limited resources and time when the economic situation was difficult, which can be embedded in an institutional Moodle-based Learning Management System (LMS) platform. To solve this problem, this study presented the development of virtual tour 360 IMERI using H5P virtual tour 360. The development used the multimedia development life cycle (MDLC). Three sixty-degree images were produced using a smartphone camera combined with the Google Street View application to generate auto-stitching images. Participants have positive and negative experiences while using this application and give some feedback related to the suggestions for improvement of this application. Participants perceived that the application was easy-to-use and useful. So, it has an impact on their positive tour experience. The participants were more focused on navigation and loading time duration, which related to their satisfaction with the tour experience. This study also gives some insight into the technical aspects of the 360 virtual tour development process and additional features to improve the user experience. In conclusion, 360-degree image production and freedom of movement play an important role in creating more realistic virtual tour experiences.
Prayer Hall Vacancy Detection

The issue of overcrowding in prayer rooms located in public areas, such as shopping centers, educational institutions, and other public spaces during prayer times, is a matter of concern nowadays. This condition has the potential to induce discomfort and adversely impact public health issues due to the increased risk of disease transmission, particularly respiratory illnesses. To address this issue, this paper presents a proof-of-concept system that uses computer vision techniques to detect, track, and count the number of people entering and exiting a prayer hall and subsequently count the total number of vacancies. The proposed system is based on the YOLOv5 object detection algorithm the Centroid Tracker object tracking algorithm and an existing object counting method. A custom dataset of 1,993 images of people entering and exiting a prayer hall was collected, cleaned, and annotated for use in training the system. The results of a sample video inference showed an average people detection mAP score of 98.9% and a people counting accuracy of 40% running on a Macbook Pro with an Ml chip. The counting results were displayed on a web app platform hosted on the Heroku cloud application platform.
Toward Neuromorphic Perception: Spike-driven Lane Segmentation for Autonomous Driving using LiDAR Sensor

As a prerequisite of high vehicle autonomy, lane segmentation is a significant perception task for advanced autonomous driving. In recent years, spiking neural networks (SNNs) have garnered the attention of researchers due to their appealing power efficiency, which provides the potential to improve energy consumption for the perception system on power-constrained autonomous vehicles. In this paper, we propose a spiking neural network targeted for LiDAR sensors to solve the lane segmentation problem. By encoding the LiDAR point cloud into spikes, the proposed SNN constructed in an end-to-end fully convolutional network structure is capable of processing the LiDAR input through the network to segment the lane area effectively. Experiments conducted on the KITTI dataset for urban scenes and the power consumption evaluation demonstrate the high performance and energy efficiency of the proposed SNN for LiDAR-based lane segmentation.
Seven Guiding Principles for Open Research Information

Research is increasingly data-driven, and so is the management, communication, and evaluation of research. The area of research intelligence is fuelled by big data analytics and provides new prospects for assisted decision-making on funding opportunities, publishing venues and next generation metrics.
Digital literacy in the information space in modern conditions

From online political campaigns to social Internet clubs, the environment of mass participation in Kazakhstan is becoming increasingly mediated by digital technologies or tools. In this article, the authors argue that digital literacy, or the ability to use electronic tools to extract, evaluate and create information, has become necessary for participation in various mass events and social activity in Kazakhstan, including those activities that relate to the sphere of social membership, civic, political and online participation. Using data from a nationally representative survey, several findings were illustrated that point to the power of digital literacy skills in empowering the public to participate in social networks, political activities and online social activism. In the course of the work, the following research questions arose – to what extent is digital literacy a predictor of mass participation? Due to the rapid development of technology, it is becoming increasingly difficult to pinpoint changes in technology and how they are used by different groups of people. The results obtained are of particular interest and can be used in research on digital literacy problems. The factual material that has entered scientific circulation, conclusions, assessments, and suggestions of the authors allow them to be used when creating general works on the issues under study
PENGARUH GAYA BELAJAR TERHADAP PRESTASI BELAJAR SISWA MATA PELAJARAN PENDIDIKAN AGAMA ISLAM DI SD NEGERI BONTORAMBA MAKASSAR

This study aims to determine the effect of student learning styles on learning achievement. this research uses a type of quantitative research with ex post facto. Data collection using questionnaires and documentation. Data analysis techniques using inferential statistics. The population was all students of SD Negeri Bontoramba Makassar and the sample used purposive sampling, namely grade VI students. The results of the study, namely: (1) There is no positive influence of visual learning style on learning achievement with a significance value of 0.619 and 0.811. (2) There is a positive effect of auditory learning style on learning achievement with a significance value of 0.019 and 0.012. (3) There is no positive effect of kinesthetic learning style on learning achievement with a significance value of 0.619 and 0.81. (4) There is no influence and significant visual, auditory, and kinesthetic learning styles together on learning achievement with a significance value of 0.176 and 0.072
Input Output HMM for Indoor Temperature Prediction in Occupancy Management Under User Preferences

In this paper, a probabilistic machine learning method is proposed to predict the indoor temperature of an office environment. An IOHMM-based model is developed to represent the office environment under different circumstances of heating sources. One year of time series data is observed and studied to learn the dynamics of the indoor thermal states. The uncertainty associated with the changing aspects of the indoor temperature and its dependence on the outdoor temperature is considered in the model development. The well-known Baum Welch and forward-backward algorithms are adapted to learn the model parameters. Then, the Viterbi algorithm is used to predict the maximum path of hidden states, leading to predicting the most likely future temperatures. A numerical application is presented to demonstrate the model development steps and the training and testing results. Finally, the model's performance is validated using leave-one-out cross-validation, which shows that the model has a prediction accuracy of about 78%.
DIACRITIC-AWARE ALIGNMENT AND CLASSIFICATION IN ARABIC SPEECH: A FUSION OF FUZTPI AND ML MODELS

This paper presents the Quran Speech Recognition (QRSR) system, achieving alignment and classification accuracies up to 96%. The system is designed to advance Arabic Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) by focusing on the Arabic diacritic-annotated text. We address the limitations of existing Arabic ASR systems and introduce the Fuzzy Text Alignment and Rule-based Classifier (FTARC) for segmenting audio files and aligning text. The FuzTPI algorithm is integrated with Machine Learning models like Na¨ıve Bayes, Support Vector Machine, and Random Forest. This research aims to generalize the findings for broader Arabic text and contribute to an expanded audio dataset, thereby enhancing Arabic NLP and speech recognition capabilities.
Managing Your Research Identity and the Role of the Librarian

This chapter will discuss the dynamic collaborative nature of library work and how academic librarians can contribute to scholarly productivity at their universities. We will look at how new technologies and new metrics for measuring scholarly impact are changing academic librarianship. We will also consider the academic librarians’ role in teaching these tools. Furthermore, we will look at the collaborative role of librarians working at three different universities with students, faculty, and researchers. This chapter will look at strategies librarians can use to adapt to the new conditions and growing expectations that are emerging from authors, students, and researchers.
Peningkatan Kemampuan Menulis Esai Narasi Melalui Teknik Mind Mapping Pada Mata Pelajaran Bahasa Indonesia Di Era Merdeka Belajar Kelas V UPTD SD Negeri 53 Parepare

Penelitian bertujuan untuk mengetahui peningkatan aktivitas belajar siswa melalui penerapan teknik mind mapping dan untuk mendeskripsikan peningkatan kemampuan menulis Esai Narasi melalui penerapan teknik mind mapping pada siswa kelas V UPTD SD Negeri 53 Parepare. Penelitian ini menggunakan pendekatan kualitatif, metode deskriptif, bentuk penelitian tindakan kelas (PTK), . Hasil penilaian kemampuan menulis esai narasi dari base line sampai siklus II dengan skor rata-rata yaitu (61,1), (69), (81,18). Hasil penilaian Ketuntasan Belajar sampai siklus II yaitu siklus I (tuntas 43%, dan tidak tuntas 57%) dan untuk siklus II (tuntas 90% dan tidak tuntas 10%) Kesimpulan, proses pelaksanaan pembelajaran dan kemampuan menulis esai narasi melalu teknik mind mapping pada siswa kelas V mengalami peningkatan. The purpose of this study to know the increase in student learning activities through the application of mind mapping techniques and to describe the improvement of the ability to write narrative essays through the application of mind mapping techniques at class V UPTD students SD Negeri 53 Parepare. This study used a qualitative approach with descriptive methods. The form of research is Classroom Action Research (PTK). The assessment results show that the ability to write narrative essays from the base line to cycle II with an average score of (61.1), (69), (81.18). The results of the Learning Completeness assessment until cycle II are cycle I (43% complete, and 57% incomplete) and for cycle II (90% complete and 10% incomplete). Based on the data obtained, it can be concluded that the learning implementation process and the ability to write narrative essays through the mind mapping technique have increased at class V UPTD students SD Negeri 53 Parepare.
What ails WASH In Schools: Criticality of Operations and Maintenance for Long-term Functionality of WASH Infrastructure - A Cross-sectional Study from South India

Background Adequate WASH Water-Sanitation-Hygiene infrastructure in schools has been recognized as a basic prerequisite to protect children from the risks of water-sanitation-related morbidities. This has also been proven as an effective method to inculcate safe WASH behaviours among them and has been linked to better attendance and academic performance. WASH infrastructure in schools in India has been strengthened over the past few decades through many initiatives. However actual utilization of the infrastructure has been suboptimal.Aim To understand the availability and functionality of WASH facilities.Methods An assessment of WASH infrastructure in 67 Nanjangud and T. Narasipura taluk schools in the Mysore district was undertaken to understand the availability and functionality of WASH facilities using a validated assessment tool. Results Out of the surveyed schools 47.76 were Lower Primary Schools 40.3 were Higher Primary Schools and 11.94 were High Schools. While coverage with WASH infrastructure was impressive Boysrsquo toilets in 86.5 and girlsrsquo toilets in 97.0 of schools it was found that the actual functionality of available WASH infrastructure was much lower. The status of the hardware was evaluated in detail in six schools by examining the status of seven components flooring doors walls basins roofs water supply and pits. It was found that most of the toilet complexes had damages to one or more of the hardware components.Conclusion Non-functional status of WASH infrastructure is a gradual progression starting with one component which is potentially relatively easier and cheaper to repair. Neglecting such repairs at the right time very soon precipitates a larger challenge making the entire complex unusable. This paper highlights the need for increased focus on Operations and Maintenance O and M of the infrastructure created rather than mere creation of additional infrastructure.
HISTORIES AND FATE OF BOOK COLLECTIONS OF NOVOROSSIYSKYI UNIVERSITY LECTURERS AT THE TURN OF THE 1910s – 1920s

The article is aimed at studying histories and fate of the book collections of Novorossiyskiy University lecturers that entered the University library at the turn of the 1910s and 1920s and have been stored in its stocks in various amounts. The authors of the article considered it necessary to fill in certain gaps in academic literature concerning the histories and fate of the book collections of University staff in the specified period. The article represents publications from the book collections coming from outstanding employees of Novorossiyskiy University S. G. Vilinskyi, O. L. Kotseyovskyi, O. O. Kochubynskyi, I. A. Linnichenko, V.-P. N. Pavlovsky, O. V. Rystenko, E. M. Shchepkin, O. P. Dobroklonskyi who made a significant contribution to culture of the country, special attention being paid to books from the collection of the latter). The facts of acquisition of these book collections by University library are recorded in a number of documents of the State Archives of the Odesa Region, as well as in library’s inventory books, which registered book acquisitions at the turn of the century. The documents explaining the selection of a number of books listed in the appendix have not been found. However, the fact of their availability in private libraries of University lecturers can serve as additional evidence of thorough and in-depth study of relevant aspects of the humanities to which these publications are devoted by the owners of the above- mentioned collections. As a result of the research, a number of copies coming from these book collections have been identified. The article presents a brief description of book collections under consideration: personal data about the owner, the time of the book acquisition by the library, a number of identified copies, owner’s main centers of interest, information on book owners’ inscripts and bookplates if available. The authors also show whether one or another collection is kept as a single unit or is dispersed in library stocks as well as its relevance for readers. The paper deals with the importance of preserving the cultural heritage of previous centuries.
PRACTICAL ASPECTS APPLICATION OF COMPUTER TESTING FOR EVALUATION OF EDUCATIONAL ACHIEVEMENTS OF STUDENTS IN GENERAL EDUCATIONAL SCHOOLS

This scientific article presents the benefits of using a computer to facilitate the quick creation of test tasks, to provide dialogue between the test person and how it is practiced in the school as a whole. It is also shown that computer testing in accordance with modern teaching trends allows students of secondary schools to indepenntly study certain disciplines. Computer testing is the main tool for assessing materials learned independently by pupils. In other words, it was found that computer testing creates a systematic approach to the study of specialized disciplines.
Digital skills will be needed everywhere in tomorrow’s world

Virtually all future work roles will involve digital technologies Eight million people in this country lack the digital skills needed for the workplace UK productivity continues to lag behind that of our major competitors All young people need core skills in collaboration, communication, creativity and critical thinking Digital skills need to be made contextually relevant to people.
INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE EDUCATION PROCESS

The proposed scientific article is a continuation of the previous research, since it is impossible to imagine the modern educational process without information and communication technologies. In particular, one of the requirements for a teacher to be able to use information and communication technologies in accordance with modern requirements is no less than knowledge of teacher’s subject. To do this, each teacher must constantly improve their knowledge, study, learn and use modern computer technology. Since not everyone is equal, there is a need to improve the ICT competence of teachers who do not have computer skills. In addition, it describes the results of scientific research on the problems of online learning during the pandemic, some online learning tools, e-books, portfolios, etc.
The Effectiveness of Developing the Mobile Application for Learning English for Academic Purposes in a Thai Regional University

The objectives of this research were to develop and test the efficiency of a mobile application for promoting out-of-class English practice for Thai university students enrolling in an English for academic purposes course. This mobile application featured interactive flashcards, multiple-choice quizzes, matching quizzes, spelling quizzes, and a news-update page. The participants in this study were 79 undergraduate students divided into two groups based on their voluntary use of the application. In the experimental group, after the pre-test, sixty-three students downloaded and used the application for one month, while the control group consisted of the 16 students who did not download or use the app after the pre-test. Both the pre-test and post-test consisted of listening, vocabulary, grammar, and reading. Their pre-test and post-test scores were compared by using the pair-sample t-test in the experimental group, and the Wilcoxon signed-rank test was used in the control group. Additional data regarding the usability and perceived effectiveness of the app were collected using an online questionnaire and analyzed using the mean and standard deviation. It was found that students who used the app performed significantly better in their post-test than in their pre-test, but that was not the case for students in the control group who did not use the app. The data from the questionnaire show that users were satisfied with the app features and frequently used the matching quizzes, usage quizzes, and meaning quizzes. They also agreed that the app was usable and effective, and they supported further development in terms of contents. This shows that the application should be implemented in order to increase achievement in learning English for specific purposes.
THE IMPORTANCE OF USING CONTEXTUAL LEARNING AS AN EFFECTIVE TEACHING METHOD

This article is about why is important using contextual teaching in learning process. The concept of contextual teaching in learning emphasizes the full student’s activity both physically and mentally. Contextual learning considers that learning is not a memorizing activity, considering facts, but a process of experience in life. Contextual teaching and learning imply that learning becomes meaningful to learners by connecting to the real world. It is based on the diverse skills, interests, experiences and cultures of learners. Education can be used to change human behavior. It can enhance one’s ability to perform verbally, quantitatively and analytically. In this regard, we consider the strengths and weaknesses of this method and analyze whether it is worth using the Contextual method in teaching. The article provides interpretations of the term context by different scientists and its efficiency in all branches of science