Reviewerly/exHarmony huggingface dataset:
BIBLIOMETRIC ANALYSIS OF THE TERM GAME-BASED LEARNING IN EARLY CHILDHOOD STUDIES

Game-based learning is a learning model that motivates and is believed to improve various aspects of student development. GBL has become a study that has begun to be of great interest to researchers. However, game-based learning applied to early childhood education has not been widely practised. This study aims to provide an extensive bibliometric review of game-based learning in early childhood. Articles were searched using the scopus.com database, and 428 articles were captured. After screening with inclusion and exclusion criteria, 256 articles were deemed eligible. The results of the study indicate that through the resulting bibliometric map, it can be seen that the opportunity to study game-based learning in early childhood studies is very prospective, especially those related to human-computer interaction.
Optical Character Recognition and text cleaning in the indigenous South African languages

This article represents follow-up work on unpublished presentations by the authors of text and corpus cleaning strategies for the African languages. In this article we provide a comparative description of cleaning of web-sourced and text-sourced material to be used for the compilation of corpora with specific attention to cleaning of text-based material, since this is particularly relevant for the indigenous South African languages. For the purposes of this study, we use the term “web-sourced material” to refer to digital data sourced from the internet, whereas “text-based material” refers to hard copy textual material. We identify the different types of errors found in such texts, looking specifically at typical scanning errors in these languages, followed by an evaluation of three commercially available Optical Character Recognition (OCR) tools. We argue that the cleanness of texts is a matter of granularity, depending on the envisaged application of the corpus comprised by the texts. Text corpora which are to be utilized for e.g. lexicographic purposes can tolerate a higher level of ‘noise’ than those used for the compilation of e.g. spelling and grammar checkers. We conclude with some suggestions for text cleaning for the indigenous languages of South Africa.
THE USE OF PLAYDOUGH, UNO STACKO, KINETIC SAND, AND FLASHCARDS IN IMPROVING THE AL QUR’AN READING SKILL FOR STUDENTS WITH DYSLEXIA DURING PANDEMIC OF COVID-19

Covid-19 pandemic requires students to study at home without interacting in class for a while. Learning from home is undoubtedly difficult for early childhood and elementary school students, especially students with special needs, including dyslexia. Many studies aiming to improve the alphabet based-reading skill for children with dyslexia have been conducted; nevertheless, further study on Al-Qur’an reading skill for these children in Indonesia as a country with the majority of Muslim inhabitants is considered essential. The different characteristics between Latin and Arabic alphabets create a complex challenge for dyslexic students. Arabic as a foreign language whose written form is rarely found publicly has made dyslexic children less exposed to Arabic alphabetical forms. This study is of single-subject experiment type and uses the A-B-A design. The intervention stage comprises four media, namely Uno stacko, flashcard, kinetic sand, and playdough. The study results prove 0% overlap, and the intervention is proven to be successful in improving the Al-Qur’an reading skill of students with dyslexia significantly.
Enhancing Data Management with MongoDB and its Rest API

Abstract: This article examines the integration of MongoDB, a powerful NoSQL database, with its REST API, enabling developers to interact with MongoDB using HTTP-based requests. The MongoDB REST API provides a straightforward and flexible approach to managing data, allowing for easy integration with various platforms and frameworks. This article explores the key features, architecture, implementation considerations, performance optimizations, and real-world use cases of the MongoDB REST API. By understanding the capabilities and best practices associated with this integration, developers can leverage MongoDB's robust features and the versatility of a RESTful interface to enhance their data management workflows.
E-Voting System using Blockchain Technology and Homomorphic Encryption

Abstract: Voting is an essential component of any democratic society but traditional systems often face obstacles like inefficiency, human error, and transparency issues thus hindering credibility. This inspired our aim to create a proof-of-concept for an e-voting system that leverages blockchain technology coupled with homomorphic encryption as means to address these impediments. In doing so, the proposed system intends to restore trust in electoral processes by improving their transparency, integrity, and efficiency. Blockchain technology provides a verifiable account and a convenient database, culminating in the smooth conduct of elections for the general public, and fostering confidence in the precision of the outcomes obtained. Homomorphic encryption secures votes utilizing encrypted data computations allaying public concerns on voter anonymity. It also affords utmost privacy security of individual votes inevitably cutting costs since elections no longer require physical ballots or polling booths.
Text Summarization for Education in Vernacular Languages

Abstract: This project proposes a video summarizing system based on natural language processing (NLP) and Machine Learning to summarize the YouTube video transcripts without losing the key elements. The quantity of videos available on web platforms is steadily expanding. The content is made available globally, primarily for educational purposes. Additionally, educational content is available on YouTube, Facebook, Google, and Instagram. A significant issue of extracting information from videos is that unlike an image, where data can be collected from a single frame, a viewer must watch the entire video to grasp the context. This study aims to shorten the length ofthe transcript of the given video. The suggested method involves retrieving transcripts from the video link provided by the user and then summarizing the by using Hugging Face Transformers and Pipelining. The built model accepts video links and the required summary duration as input from the user and generates a summarized transcript as output. According to the results, the final translated was obtained in less time when compared with other proposed techniques. Furthermore, the video’s central concept is accurately present in the final without any deviations.
Virtual Reality's Impacts on Learning Results in 5.0 Education : a Meta-Analysis

In recent years, the use of virtual reality (VR) in the classroom has grown in popularity. New learning possibilities are made possible by its presence and immersive design. Due to this expansion, several research have been done to determine how VR affects learning results. Meta-analyses that condense the impacts of VR on learning acquisition are now necessary due to the growth of experimental investigations. However, there are a number of evaluations in the present literature that concentrate on 5.0 students and examine the impact of a number of factors, including immersion level, length of intervention, and subject matter. However, there are a number of evaluations in the present literature that concentrate on 5.0 students and examine the impact of a number of factors, including immersion level, length of intervention, and subject matter. To fulfill this demand, this meta-analysis was conducted. Eight experimental papers were eventually included in the meta-analysis following a pre-selection of 286 references published between 2010 and 2021this . The findings demonstrate that, generally speaking, VR fosters greater student learning than the control conditionApart from that, the effect is considerably more pronounced with immersive VR than with semi-immersive and nonimmersive systems. This effect is independent of the level of education in which VR is used and most areas of knowledge. Additionally, shorter treatments are less successful than longer ones.
Formation of Communication Skills of Younger Schoolchildren with Mental Retardation through Theatrical Activities

The article presents the practical aspects of studying the formation of communication skills of younger schoolchildren with mental retardation in the process of extracurricular theatrical activities. The specifics of the phenomenon of communication skills and the influence of theatrical activities on their formation are analyzed. In the course of the pilot study, it was found that at the ascertaining stage of the experiment, children of primary school age with mental retardation showed low levels of communication skills, indicating insufficient communicative competence, ineffective communicative interaction, insufficiently developed activity in the field of displaying and transmitting action landmarks: In order to form communication skills among younger schoolchildren with mental retardation, a program was developed that consists of three stages: preparatory, main and final. At the control stage of the experiment, the indicators of the development of communication skills became higher in the experimental group, which indicates the effectiveness of the use of the psycho-correction program by means of theatricalization, aimed at increasing the communication skills of children of primary school age with mental retardation.
The Effect of Game Based Learning Assisted by Fun Card Puzzle on the Conceptual Understanding of Class 5th Elementary School Students

Concept understanding is that students understand the meaning of a concept. So the authors apply an understanding of the concept by using a game-based learning model assisted by fun card puzzles to find out students' understanding of concepts. This study uses a quantitative method and an experimental form, namely Quasi Experimental Design with Pre-test Post-test Design. The population of this study were fifth grade students at Lerep 02 and Lerep 05 Elementary School. The data analysis technique used was the sample t test and simple linear regression test. The results show that there is an influence of the game-based learning model assisted by fun card puzzles with proven tcount = 3.712 while ttable = 2.131, with significance level 0.002. It can be concluded that the game-based learning model assisted by fun card puzzles has an effect on students' conceptual understanding
Efektivitas Gel Madu Hutan Akasia terhadap Jumlah Fibroblas pada Luka Sayat Tikus Putih (Rattus novergicus)

Cuts are wounds caused by sharp objects such as knives, swords, razors and glass. According to data from the Arifin Achmad Regional General Hospital, Riau Province, it was noted that the most common type of wound in sharp violence was a cut (66.7%). When a wound occurs, the wound healing process occurs, namely: inflammation, proliferation, and remodeling. During the proliferative phase, fibroblasts influence the reepithelialization process that closes the wound. Handling cuts using acacia honey because acacia honey in wound healing has anti-inflammatory, antibacterial and antioxidant activities. Knowing the effectiveness of acacia honey gel on the number of fibroblasts in white rat (Rattus novergicus) incision wounds. This type of research is an experimental study design with a randomized posttest only control group design that uses acacia honey on cuts in white rats (Rattus novergicus). There was no significant difference between each treatment group: 20% acacia honey gel, 60% acacia honey gel, 80% acacia honey gel, positive control (povidone iodine) and negative control (gel without honey). Giving acacia honey gel could not increase the number of fibroblasts in white rat (Rattus novergicus) incision wounds.
Perancangan Sistem Pengumpul Data Dengan Internet Of Thing Pada Software Monitoring Banjir Berbasis Geographic Informatin Sistem

Flooding is one of the natural disasters that often occur in various regions in Indonesia. Flood events have a negative impact on the community because it can cause material losses and fatalities. Flood disasters generally occur in the rainy season with high rainfall. Technology can be used to reduce the impact caused by the flood disaster. In this study, a system was created that can estimate the probability of flooding by measuring rainfall levels, and changes in water height from ground level by using rain gauge sensors and ultrasonic sensors and sending sensor reading data and flooding positions to the database using the GSM SIM800L Module. Based on this research, the system can estimate the likelihood of flooding and give a warning with a 100% success rate.
Literation Analysis of Young Mothers on Child Health

The purpose of this study was to analyze the literacy of young mothers on children's health. research This research uses mixed research (mixed method), researchers use tools that can be used as data and facts that are obtained comprehensively and thoroughly. The mixed method research model answers the problem formulation quantitatively and qualitatively. As for collecting data using several previous researchers who discussed similar themes, observation and documentation, with data analysis using a qualitative descriptive method which is a method that describes, interprets existing data and analyzes it. From the research above, it can be concluded that literacy for a mother really needs to be honed by following health programs that are usually carried out in each region, or you can use digital literacy, because of the importance of a mother to understand knowledge about child health
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control

Our goal is for robots to follow natural language instructions like "put the towel next to the microwave." But getting large amounts of labeled data, i.e. data that contains demonstrations of tasks labeled with the language instruction, is prohibitive. In contrast, obtaining policies that respond to image goals is much easier, because any autonomous trial or demonstration can be labeled in hindsight with its final state as the goal. In this work, we contribute a method that taps into joint image- and goal- conditioned policies with language using only a small amount of language data. Prior work has made progress on this using vision-language models or by jointly training language-goal-conditioned policies, but so far neither method has scaled effectively to real-world robot tasks without significant human annotation. Our method achieves robust performance in the real world by learning an embedding from the labeled data that aligns language not to the goal image, but rather to the desired change between the start and goal images that the instruction corresponds to. We then train a policy on this embedding: the policy benefits from all the unlabeled data, but the aligned embedding provides an interface for language to steer the policy. We show instruction following across a variety of manipulation tasks in different scenes, with generalization to language instructions outside of the labeled data. Videos and code for our approach can be found on our website: https://rail-berkeley.github.io/grif/ .
Automated Exposure Notification for COVID-19.

In the current COVID-19 pandemic, various Automated Exposure Notification (AEN) systems have been proposed to help quickly identify potential contacts of infected individuals. All these systems try to leverage the current understanding of the following factors: transmission risk, technology to address risk modeling, system policies and privacy considerations. While AEN holds promise for mitigating the spread of COVID-19, using short-range communication channels (Bluetooth) in smartphones to detect close individual contacts may be inaccurate for modeling and informing transmission risk. This work finds that the current close contact definitions may be inadequate to reduce viral spread using AEN technology. Consequently, relying on distance measurements from Bluetooth Low-Energy may not be optimal for determining risks of exposure and protecting privacy. This paper's literature analysis suggests that AEN may perform better by using broadly accessible technologies to sense the respiratory activity, mask status, or environment of participants. Moreover, the paper remains cognizant that smartphone sensors can leak private information and thus recommends additional objectives for maintaining user privacy without compromising utility for population health. This literature review and analysis will simultaneously interest (i) health professionals who desire a fundamental understanding of the design and utility of AEN systems and (ii) technologists interested in understanding their epidemiological basis in the light of recent research. Ultimately, the two disparate communities need to understand each other to assess the value of AEN systems in mitigating viral spread, whether for the COVID-19 pandemic or for future ones.
Using Machine Learning Techniques to Develop IPO Opening Price Forecasting Model in the KOSDAQ Market

The purpose of this study is to predict the initial price of new public offering stocks on the listing date for short-term excess returns of public offering stocks due to the IPO underpricing factor. This study seeks to extract the characteristic factors related to the determinants of the public offering price and derive the factors that affect the public offering price. Specifically, for IPOs to be listed on the KOSDAQ market, the public offering price decision influencing factors are derived and artificial intelligence techniques (neural networks, decision trees) are used to build a public offering price prediction model. Research variables related to the public offering price prediction model include sales, net profit, largest shareholder’s share, capital stock, number of listed stocks, sales ratio of old stocks, lead company size, institutional subscription competition rate, general subscription competition rate, mandatory holding commitment rate, distribution Available volume, public offering amount, public offering price, public offering price discount rate, etc. As a result of the study, the main variables to be considered for the prediction of the public offering price were the general subscription competition rate and the public offering price. Variables included in the ranking of importance, such as capital stock, net income, commitment ratio of obligatory holdings, and the largest shareholder's equity ratio, were also extracted as factors to be considered.
Analysis of Factors Associated with Adherence to Taking Medication in Pediatric Patients with Pulmonary Tuberculosis in Mesuji Regency, Lampung, Indonesia

Background: One disease that is still a health problem in the world, including Indonesia, is tuberculosis (TB) which is caused by germs Mycobacterium tuberculosis. The success of TB treatment requires patient compliance in taking antituberculosis drugs (OAT), family support such as supervision, and motivating TB sufferers are factors that play a role in patient compliance. This study aims to determine the factors associated with medication adherence in pediatric patients with pulmonary tuberculosis in Mesuji Regency, Lampung, Indonesia.&#x0D; Methods: This study was an observational study with a cross-sectional approach, where as many as 52 respondents were included in this study. Data collection through interviews using a structured questionnaire. The subject of the study consisted of tuberculosis patients who were reported to have attended treatment for at least two months in Mesuji Regency. Data analysis was carried out using SPSS using univariate and bivariate methods.&#x0D; Results: The results showed that 76.9% of respondents adhered to the treatment of pulmonary tuberculosis. Patient medication adherence to tuberculosis was influenced by the presence of drug side effects (p-value = 0.007) and the supervisor's support for taking medication (p-value = 0.021).&#x0D; Conclusion: Compliance with taking medication in tuberculosis patients is influenced by the presence of medication supervisors and the uncomfortable side effects of antituberculosis drugs.
MENINGKATAN MINAT MEMBACA MELALUI GERAKAN LITERASI SEKOLAH DI SDN BERU KECAMATAN SARIREJO

The word literacy is now very familiar to the public. We define someone who is literate as someone who is literate or can read. Reading has a very strong cultural influence on the literacy development of students. Unfortunately, student achievement at SDN Beru is still low. Therefore, in community service in Beru village, we held a literacy movement program to increase interest in reading. The implementation method applied is to provide assistance by interacting directly with students through teaching and learning activities in the classroom. The goal is that students at SDN Beru can read. The result of this service is that students gain new knowledge from the literacy movement.
ACCOUNTING PROFESSION: USING SWOT ANALYSIS APPROACH IN 5.0 SOCIETY ERA

The accounting profession has a very important role in various entities and sectors. This study aims to examine the existence of the accounting profession related to the presence of the 5.0 industrial revolution era. This research uses quantitative methods. The sample in this study were accountants who worked as accountant educators, public accountants and tax consultants in the city of Medan, totaling 150 people. As a result, it is known that the role of the accounting profession in the era of the industrial revolution 5.0 has been transformed into digital skills, applying new technology prototypes, learning by doing, international certification-based education, responsive to changes in industry, business and technology development, as well as curricula and learning based on digital skills. Accountant professional bodies need to encourage and facilitate continuous learning for accountants, for example through an online course or knowledge base that can be accessed widely and provides real-time and continuous updating of knowledge. This is necessary so that the accounting profession can continue to exist in an era of challenges. 5.0.