Reviewerly/exHarmony huggingface dataset:
Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review

Technologies enable organizations to support and improve knowledge management practices. First, it will be easier to define augmented and virtual reality concepts to better understand them. Artificial Intelligence technology enables organizations to support and improve knowledge management practices. The research aims to explain the current trend of artificial intelligence-augmented reality in science learning. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. An innovation in educational technology to support learning is the existence of AI technology. Technology may speed up education when used wisely and responsibly. The development of artificial intelligence technology can help pupils become more independent. The teacher does not have to play such a dominant role, but his responsibilities are laid out in the context of offering illumination through significant keywords. The basis for every use of technology for teachers is to continue to prioritize the essence of teaching, namely managing the morale and behavior of students.
Development of Learning Media Using Articulate Storylines to Increase Student Motivation in Mathematics Subjects in Elementary Schools

The purpose of this research is to develop learning media based on articulate storylines that are used to increase elementary school students' learning motivation in learning Mathematics.Study This use research methods development (Research and Development or R&amp;D). Research using model study Which adapted from development models ADDIE. This model uses 5 stages that is analysis stage, Design, Development, Implementation, and Evaluation. Study this is done in 3 schools namely SDN 18, SDN 24 and SDN 30 Payakumbuh City. Province Sumatra West. Data collection was carried out through product validation, interviews, observation, questionnaires, and documentation. Data analysis in this study is an analysis of product validity, product practicality and product effectiveness.The results of media validation get a value of 82%, from the validation of language experts get a value of 100%, from the validation of construct experts get a value of 95% and from the results of the material validator get a value of 87%. So that the results are 91% and with the description "very valid" and this product is feasible for trials. The average value of the feasibility test for learning media products is 88.5% which is included in the very feasible category. Distributed from field trials in the 3 schools, the results were 91.33% with the category of students having very high motivation in learning mathematics by using articulate storyline learning media.
Positive Discourse Analysis of the Presidential Rhetoric at the G20 Summit 2022 in Bali, Indonesia

Abstract. This study aims to uncover the utilization of positive discourse in presidential rhetoric during the G20 Summit 2022. This qualitative study employs a dataset of speeches delivered by the President of Indonesia, obtained from the official website of The Secretary of the Cabinet of the Republic of Indonesia. The speeches were published online between November 14 and 16, 2022. The procedures involve examining the speeches, identifying positive language, categorizing the data into three main themes (i.e., uniting, being optimistic, and maintaining world peace), analyzing rhetorical strategies and interpreting the data using the Positive Discourse Analysis approach. The results show that the President of Indonesia encourages all countries to unite to achieve common goals. Despite a severe toll on the world economy after the pandemic, he spreads optimism to the summit. He also persuades everyone to maintain world peace. These three focal points are conveyed by utilizing personal pronouns ‘we’ to strengthen the sense of collectivity and build unity and ‘I’ to highlight his good leadership quality. Justification for the negative impacts of war is expressed through conditional clauses. Other discursive strategies in his rhetoric include using lexical choices, parallel structures, modals, metaphors, rhetorical questions, and repetitive phrases. The encouragement and uplifting messages in the speeches may boost positive vibes in the meeting. The use of rhetorical techniques can impact international relations, economic cooperation, and how people worldwide work together to address common issues.Keywords: Positive Discourse Analysis, president, indonesia, G20, summit
Improving the Resume Verification Process of Financial Professionals Using Blockchain Smart Contracts

Traditional verification of professional credentials is time-consuming, lacks formal interaction, and is forgeable. Therefore, unethical behavior may infect the profession as its membership grows. However, new technologies make accounting and auditing of resumes easier to compile and validate. Blockchain eliminates unethical issues by integrating members’ documents, qualifications, and credentials on a single platform for fast verification. Blockchain-based solutions automate membership application processes for speedy verification, reducing paperwork. The goals of this research are to show how accountants and auditors can meet local and international standards by using Blockchain, how regulators can build a secure and trusted platform to register and view members’ profiles for verification, how to maintain the integrity of exam-based qualification accreditation, and how to reduce fraud and falsification. This research analyzes Blockchain topologies and smart contracts to improve resume verification for financial professions. This research helps establishing an auditing and accounting Blockchain architecture to authenticate professionals resumes and credentials.
The Effect of Indonesian EFL Senior High School Students’ Anxiety on Their Writing Achievement in Explanation Text

Abstract. Writing is considered to be one of the most challenging skills to learn. Accordingly, some issues appeared and may be faced by the students while writing. One of the writing issues that can be a serious problem is writing anxiety. Hence, in this study, the researcher tried to find out the eleven graders students' writing anxiety levels and investigate the significant difference of writing anxiety on students' writing achievement in an explanation text writing. This study used quantitative approach with ex-post facto research design. The researcher conducted this study at one of the public senior high schools in Gresik. There were 30 eleven graders taken as subjects from one class. Then, to gather the data, two instruments were used. First were the Second Language Writing Anxiety Inventory (SLWAI) close-ended questionnaires. Second was students' writing scores in an explanation text writing. To analyze the data, the researcher used both descriptive statistics and inferential statistics (ANOVA). The results found that the eleven grades’ students had a moderate level of writing anxiety. And the somatic anxiety was dominant had by them. Another result revealed that there is no significant difference in each type of writing anxiety on the students' writing achievement in explanation text. And only cognitive anxiety had a moderate size effect on the student's scores. So, based on this study, the writing anxiety did not influence whether the students succeed in their explanation text writing. Keywords: Writing Anxiety, Writing Achievement, Explanation Text
Extensive Reading in Improving Reading Motivation: A Students’ Perspective

Abstract. Students nowadays are accustomed to vast yet short information coming from various digital platforms. This affects their concentration span in a negative way and causes a difficulty in focus, including reading a longer text. This study aims to investigate how extensive reading practice improves students’ motivation in reading. Specifically, this study aims to elaborate students’ experience in English for General Reading subject, how far the extensive reading practice can increase students’ reading efficacy, and what impact the practice gives to students’ curiosity on specific topics. The finding is expected to uncover new possible ways, which educators can implement to match varied learning needs by optimizing the effectiveness of the activity. Data of this phenomenology study was taken through observation during the class and online questionnaire as the class evaluation after the class has finished. A number of semi-structured interviews were also conducted to a number of students to gain a deeper understanding of the phenomena. The interviews are transcribed, coded, and analysed using thematic analysis. This study found that extensive reading practice helps students improving their reading motivation in general, through enjoyment on familiar subjects, reading efficacy, as well as engagement on new topics.Keywords: Extensive Reading, Reading Motivation, Phenomenology, Student’s Perspective
Japanese Women Language Politeness in Communication Interview: Sociolinguistic Study

Abstract. This study aims to investigate and define Japanese women's language politeness in communication interviews. This study is descriptive, using a content analysis approach. This study collected Japanese women's words, phrases, and clauses from YouTube videos and used free-conversation listening and note-taking techniques to acquire data. The results showed three main types of Japanese woman’s polite language in communication interviews: teineigo, kenjougo, and sonkeigo. Sonkeigo is used when the speaker wishes to show respect for the other person and the person being discussed. In contrast, the phrase kenjyogo puts the speaker on a lesser level with the recipient. Teineigo is best described as a form of polite or formal speech. It is found that keigo is a method of Japanese women to express their politeness, etiquette and also emotional in the same time This finding also contributes to a greater understanding of social position and social status in Japanese society, as well as how Japanese women communicate to maintain their image in the eyes of others Keywords: Japanese Woman, Politeness Language, Communication Interview, Sociolinguistic
Initiating Action Guru SKI dalam Mewujudkan Budaya Literasi di Madrasah Ibtidaiyah Kementerian Agama Kota Banda Aceh

Madrasah Ibtidaiyah teachers have not all realized literacy-based learning. This is because teachers' initiating actions are not all very good, so an in-depth study is needed in this regard. The purpose of this study is to explain the literacy culture of SKI teachers and the initiating action of SKI teachers in shaping literacy culture in Madrasah Ibtidaiyah of the Ministry of Religious Affairs in Banda Aceh. This research is field research with descriptive analysis. The data were obtained from SKI teachers in Madrasah Ibtidaiyah in Banda Aceh. Data were collected by purposive sampling through questionnaires, observations, interviews, and documentation. Data analysis began with reducing data, displaying data, and constructing data interactively. includingThe results of this study show that the literacy culture of SKI teachers in Madrasah Ibtidaiyah is manifested through (1) daily activities, including reading activities 15 minutes before learning and reading the Quran; (2) weekly activities, including literacy every Saturday and Minimoli (Mini Moving Lybrary); (3) semesterly activities, including book summarizing programs, reading camps, book donations, book worms, book presentations, and story telling; and (4) annual activities, including making class libraries and hunting literacy programs. (good) forIn addition, the initiating action of SKI teachers in shaping a culture of literacy in Madrasah Ibtidaiyah of the Ministry of Religious Affairs in Banda Aceh City is divided into 3, namely a score of 50–70 (not good) for as many as 3 SKI teachers; a score of 71–80 (good) for as many as 8 SKI teachers; and a score of 81–100 (very good) for as many as 4 SKI teachers. Initiating action is not influenced by length of service, latest education, or school status but is determined by being responsive, acting independently, and doing more than required.
BENEFITS OF LEARNING MEDIA IN THE LEARNING AND TEACHING PROCESS AT UNIVERSITY

The goal of this study was to learn about the benefits of employing media in the learning and teaching process for university students. The descriptive approach and qualitative research were employed in this study. According to the findings of this study, employing media in the learning and teaching process for university students is quite beneficial. The medium relayed information from the source (lecturer) to the recipient (student). Media in the learning and teaching process might be used as a message deliverer technology (information) or a physical tool to deliver learning content. According to the findings of this study, the benefits of media include facilitating contact between lecturers and students and assisting students in learning more effectively.Keywords: Learning Media and the Learning Process
Improvements in Handwritten and Printed Text Separation in Historical Archival Documents

The presence of handwritten text and annotations combined with typewritten and machine-printed text in historical archival records make them visually complex, posing challenges for OCR systems in accurately transcribing their content. This paper is an extension of [1], reporting on improvements in the separation of handwritten text from machine-printed text (including typewriters), by the use of FCN-based models trained on datasets created from different data synthesis pipelines. Results show a significant increase of about 20% in the intrinsic evaluation on artificial test sets, and 8% improvement in the extrinsic evaluation on a subsequent OCR task on real archival documents.
Data Extraction, Visualization, and Storytelling: A Case Study in Headline Analysis on "The Hongkong News" with Deep Learning

This paper presents the methodologies to extract the headline and illustrations from a historical newspaper for storytelling to support digital scholarship. It explored the ways in which new digital tools can facilitate the understanding of the newspaper content in the setting of time and space, "The Hongkong News" was selected from Hong Kong Early Tabloid Newspaper for the case study owing to its uniqueness in historical value towards the scholars. The proposed methodologies were evaluated in OCR (Optical Character Recognition) with scraping and Deep Learning Object Detection models. Two visualization products were developed to showcase the feasibility of our proposed methods to serve the storytelling purpose.
Benchmarking Lossless Still Image Codecs: Perspectives on Selected Compression Standards From 1992 through 2022

As complementary technologies evolve, data compression continues to be a foundational aspect of growing digital collections. In this study, selected lossless still image codecs from 1992 through 2022 were benchmarked across a variety of efficiency and performance measures using reference images from cultural heritage. Additionally, entropy estimates were calculated by source image to assist in characterizing image information and evaluating encoder efficiency against assessed feasible compression limits. Encoder designs and compression techniques were also examined in the context of the study's measured results.
9. Software

This chapter examines whether software should be protected by patent law or by the law of copyright, or through a <italic>sui generis</italic> form of protection. It first provides a historical background on software and copyright protection, before discussing the scope of software copyright protection and copyright infringement. The chapter then looks at several forms of copyright infringement such as offline, online, and employee piracy, and also explains the look and feel infringement by citing three cases: <italic>Navitaire v easyJet</italic>, <italic>Nova Productions v Mazooma Games</italic>, and <italic>SAS Institute v World Programming Ltd.</italic> In addition, it considers permissible acts under the UK’s Copyright, Designs and Patents Act 1988 without infringing the rights of the copyright holder. Finally, the chapter analyses cases relating to patent protection for computer software, including software patents under the European Patent Convention and the decision in <italic>Aerotel v Telco &amp; Macrossan</italic>.
21. Crime and law enforcement in the information society

This chapter examines cybercrimes, cyber-attacks such as denial of service attacks, and law enforcement in the information society. It looks at advance-fee fraud, internationally known as ‘419 Fraud’ with reference to Nigeria; as well as the ‘Russian Scam’ that targets the users of online dating sites. It also examines other criminal activities common on the internet, such as privacy attacks including phishing which illegally appropriates personal data, harassment, cyber-stalking, and grooming, and also considers identity theft and identity fraud, as well as cyberterrorism. The chapter presents case studies dealing with cybercrimes, and, finally, it discusses the efforts of the Council of Europe Convention on Cybercrime to harmonize international cybercrime laws.
5. Cyber-speech

This chapter examines cyber-speech and its implications for free expression. It first provides an overview of the technologies involved, from simple systems such as web pages, blogs, and internet fora to social media platforms (SMPs), and media-sharing sites. The chapter then highlights the social implications of the shift in power from centralized media organizations to users. It also considers the responsibilities that users owe to each other in this environment and how regulators may balance freedom of expression with social responsibility. To determine whose values predominate when regulating a global media tool which does not recognize traditional borders, the chapter presents two case studies: political speech and hate speech.
EXPLORING THE USE OF SOCIAL MEDIA FOR LEARNING SPEAKING BY THE ELEVENTH GRADE STUDENTS OF SMAN 3 KEDIRI

The purpose of this study is to investigate the use of social media for learning to speak, as well as the challenges and motivations for doing so. The subject of this study is the eleventh grade students of SMAN 3 Kediri, which is located on Mauni Street, No. 88 Bangsal, Pesantren, Kediri City. Data collection methods include questionnaires, observation, and interviews. Data analysis processes included data reduction, data organization, and data conclusion. The obtained data is displayed descriptively as a percentage and qualitatively interpreted. The data showed that all participants use social media as a source of knowledge and as an example of practicing speaking. 59% of the 80 participants agreed and 24% strongly agreed that social media can help them improve their speaking fluency. The students also claim that learning to speak through social media presents challenges. Understanding difficult material without the assistance of teachers is one of the most difficult aspects for students. The findings also show that the motivation for using social media to learn to speak comes from both internal and external sources. Furthermore, students can use social media to learn to speak in a variety of ways, and it also provides challenges and motivation for each student.
Clausal Ellipsis and Non-Simultaneous Transfer

Diverse theories have employed elliptical constructions as testing grounds to investigate the nature of the various postulated components of grammar, including interactions between syntax, phonology, and semantics. We present a unified account of clausal ellipsis for Sluicing and Fragment answers in English, as well as Fragmentary Questions in Korean and Japanese. We propose an assumption as to how it can be implemented in the current syntactic framework. In accordance with Non-Simultaneous Transfer (Felser 2004, Wurmbrand and Bobaljik 2003, Citko 2014, Marušič 2005, 2009), each element contributing to the derivation must be pronounced and interpreted during the different phases. A Non-Simultaneous Transfer system is a plausible explanation for why the locations for transferring resultant items to both interfaces (Sensorimotor system Interface and Conceptual-Intentional Interface) are distinct. This article is an attempt to bring together research on clausal ellipsis and current syntactic theory, specifically Minimalism.
Review and Prospect of Domestic Online Public Opinion Research Based on Keyword Analysis

Internet public opinion; Research status quo; Citespace
Unsupervised machine learning

The goal of a dimensionality reduction is to reduce the number of features without significantly changing key characteristics of the data, such as the distances between data points. Dimensionality reduction can be understood as an unsupervised analogue to regression.
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI

Pre-trained language models have recently emerged as a powerful tool for fine-tuning a variety of language tasks. Ideally, when models are pre-trained on large amount of data, they are expected to gain implicit knowledge. In this paper, we investigate the ability of pre-trained language models to generalize to different non-language tasks. In particular, we test them on tasks from different domains such as computer vision, reasoning on hierarchical data, and protein fold prediction. The four pre-trained models that we used, T5, BART, BERT, and GPT-2 achieve outstanding results. They all have similar performance and they outperform transformers that are trained from scratch by a large margin. For instance, pre-trained language models perform better on the Listops dataset, with an average accuracy of 58.7%, compared to transformers trained from scratch, which have an average accuracy of 29.0%. The significant improvement demonstrated across three types of datasets suggests that pre-training on language helps the models to acquire general knowledge, bringing us a step closer to general AI. We also showed that reducing the number of parameters in pre-trained language models does not have a great impact as the performance drops slightly when using T5-Small instead of T5-Base. In fact, when using only 2% of the parameters, we achieved a great improvement compared to training from scratch. Finally, in contrast to prior work, we find out that using pre-trained embeddings for the input layer is necessary to achieve the desired results.
Multivariate statistics

When we learned about association measures and regression methods in the previous chapters, we gained a first glimpse into multivariate statistics. Multivariate methods allow for the joint study of statistical variables and their relationships between each other with the goal of capturing a complete picture of the data. In machine learning, this approach is essential, as predictions are based on a large number of features and their statistical characteristics.