Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF ENGLISH TEXTBOOK ENTITLED “STOP BULLYING NOW” PUBLISHED BY KEMENDIKBUD RI

The study examined the English text book “Stop Bullying Now” Published By Kemendikbud RI based on the Cunningsworth criteria. The study found out the quality of the English textbook “Stop Bullying Now” for class XI. The method employed in this study is qualitative descriptive. The study focuses the textbooks to fit the criteria based on Cunningsworth theory. In data-mining researcher using documentary analysis. Researcher analyzed 3 chapters of the 5 chapters of the textbook Published By Curriculum and Book Center, Balitbang, Kemendikbud. Studies show that the textbooks “Stop Bullying Now” are as good as the Cunningsworth criteria. It meets the criteria of the Cunningsworth and includes a good English textbook because it contains language content, skills, and topics. The study examined the English text book “Stop Bullying Now” Published By Kemendikbud RI based on the Cunningsworth criteria. The study found out the quality of the English textbook “Stop Bullying Now” for class XI. This study can be used by teachers as a guide in teaching so that teachers can use this textbook for school teaching activities. This study can be used by teachers as a guide in teaching so that teachers can use this textbook for school teaching activities.
An Analysis of Teacher Talk in an EFL Classroom Interaction

Teacher talk is important in classroom interaction because it can help students improve their comprehension of the learning materials and encourage them to be more active during the learning process. This research was aimed to analyze the categories of talk employed by the lecturer in the classroom interaction in English teaching and learning process at chemistry education in one private university in Cirebon based the framework FIACS (Flander’s Interaction Analysis Categories System). The lecturer at chemistry education in one private university in Cirebon was chosen as participant of this research. In this research, the researchers used qualitative descriptive method in collecting the data. The instruments of this research were observation as well video recording, observation sheet and structure interview. The findings reveals that the most dominant type used by the participant is asking question with 143 occurrences (35.57%), followed by Lecturing category with 98 occurrences (24.50%), accept or use idea of students category with 60 occurrences (15.00%), Giving directions category with 55 occurrences (13.25%), accept feelings category with 30 occurrences (7.50%), Praise or encourages category with 14 occurrences (3.50%), and the last is criticizing or justifying authority with 2 occurrences (0,50%) as the lowest category. According to the interview results, the participants employ those teachers talk categories in the teaching and learning interaction in the classroom to make the lesson more interactive, impressing, and relevant for everyone in the classroom, not just the participant, but also the students.&#x0D; Keywords: Classroom Interaction; Flander’s Interaction Analysis Categories System (FIACS); Teacher’s Talk.
Students' Perceptions towards E-Learning Platform in EFL Classroom

This study aims to analyze students about learning using the e-learning platform and measure students' perceptions about learning using the e-learning platform. At one of the private University in Cirebon. This research uses qualitative research with case study design. The data source of this research is a data source in the form of primary or main data sources where data collection is obtained through questionnaire and interview. To analyze the data is done through three stages, namely data reduction, data presentation and verification or conclusion. Then the triangulation of data and sources is used as a means of checking the validity of a data. The results of the study illustrate that first, the positive perception that students have of learning through the E-Learning platform during the Covid-19 pandemic, that learning using the E-Learning platform is effective, the ELearning platform can assist students in carrying out online learning during the Covid-19 pandemic. Second, the E-Learning platform in online learning during the Covid-19 pandemic is very useful for continuing to learn where students want to learn the media provided by lecturers such as the e-Learning platform, the use of the E-Learning platform is useful for online learning for now learning is done online. by using the E-Learning platform so that students can continue to learn.
Ventotene and Gorizia

This essay sets out to reflect on the prospective transformation of two Italian panoptical buildings that straddle the border between different places and times: the prison of Ventotene and the hospital of Gorizia. Local authorities have recently put forward a proposal to turn the former into a European school and the latter into a European prison. Both of these hermetic, unbending architectures have particular historical significance. Ventotene is the island where Altiero Spinelli was incarcerated by the Fascist regime and wrote the manifesto that paved the way for the process of European integration. Gorizia is the town where Franco Basaglia began his career, elaborating the theory of mental health that led to the closing of all Italian asylums. The proposed Europeanisation of these structures of confinement and isolation, which embody the exercise of disciplinary power in its most extreme form, speaks to the problem of opening the total institutions of modern statehood and repositioning them within the increasingly decentralised, indeterminate order of the European Union.
MODEL IN READING COMPREHGENSION AT FIFTH SEMESTER STUDENTS OF ENGLISH EDUCATION DEPARTMENT AT STATE ISLAMIC UNIVERSITY SULTHAN THAHA SAIFUDDIN JAMBI

This research aims to find out and analyze the models used by students in reading comprehension. This research was conducted in semester V, majoring in English education, The State Islamic University of Sulthan Thaha Saifuddin Jambi. Which is located at JL. Jambi Ma. Bulian KM.16 Duren River Intersection, Kab. Ma.Jambi. Researcher used descriptive qualitative methods, and found the models used by students when reading or when being interviewed. The subjects in this study were class B, totaling 28 students, which focused on 6 students to be interviewed. Research methods of data collection using observation, documentation, and interviews. When, in the interview, the researcher found answers based on the formulation of the problem. Researcher found a model that is often used by students when understanding reading. This study uses two models in reading comprehension, first the Top-Down Model and the second Bottom-Up Model. In this study, the model most often used by students when understanding a text is the Top-Down model, while the one that is least used is the Bottom-Up Model. The top-down model can be concluded that the reader's knowledge, experience, and intelligence are needed as a basis for reading comprehension. The bottom-up model is a process that involves accuracy, detail, and identification of letters, words, spelling patterns, and other language units
THE USE OF INSTAGRAM AS A PROJECT BASED LEARNING: STUDY EXPERIMENTAL AT JUNIOR HIGH SCHOOL

This research aims to find the effect of Project Based Learning techniques on students' writing skills. The Project Based Learning that is used in this research was Instagram for writing skill. The material was limited by descriptive text which exist on eighth grade in junior high school. This research was design by pre-experimental method which consist of two classes. The participants was chosen by random sampling which separated into class VIII A as the experimental class and VIII B as the control class at SMP Negeri 26 Sarolangun. Total meeting of doing this experimental is seven meetings including pre-test, treatment and post-test. The result of this study was significance. It showed by the result of paired sample t test, the value was 0.001 ≤ 0.05. It denotes Ha's acceptance. Therefore, posting on Instagram about student writing suggests that project-based learning has a big impact.
THE INFLUENCE OF COMPUTER ASSISTED LANGUAGE LEARNING ON STUDENTS’ LISTENING SKILLS

This study was conducted to determine the influence of computer-assisted language learning on students' listening skills. This research uses descriptive quantitative method in the form of a survey. This method is considered as the right approach for this type of research. Data was collected by distributing it to each class to all twelfth grade in SMAN 4 Batanghari. This study explores students' perceptions that come from students' experiences during the learning process. The results of this study are presented descriptively to reveal students' perceptions comprehensively. This study has a positive influence on computer-assisted language learning by obtaining a Likert scale score which is included in the high category, named 63.70%. it can be concluded that CALL technology can be said to be goood enough to continue to be used in the learning system.
THE RESEARCH REVIEW ABOUT USING YOUTUBE ENGLISH CHANNEL IN IMPROVING STUDENTS’ ENGLISH FOREIGN LANGUAGE SKILLS

The YouTube app is a platform that allows users to upload creative and informative videos and then show them to other users. YouTube users are spread worldwide, including Many native English speakers and English language experts who are also involved in creating English language channels through YouTube that allow viewers to learn English from authentic sources. However, there are not many research studies that discuss the use of YouTube videos to improve English learning. The primary purpose of this research is to explore a preliminary study of the use of YouTube channels related to learning English. The research focuses on improving students' English skills. The technique of collecting data is that the researcher focuses on articles retrieved through internet search engines in the last four years, starting in 2019 and ending in 2022. The articles were selected manually and reviewed systematically—search keywords related to YouTube English Channel. Then, the findings were reviewed and categorized into two problems: the effectiveness of using English YouTube Channels based on the participant's point of view and implementing YouTube Videos as Learning Resources in English classes to improve specific language-Skills. The results show several articles reveal positive indications of using English learning resources through the English YouTube Channel. English Language Education Practitioners can find this valuable knowledge in conducting practical learning and developing various instructional tasks based on the YouTube English Channel Platform in developing EFL students' skills.
THE COMMUNICATIVE ACTIVITIES IN “BRIGHT AN ENGLISH” TEXTBOOK

The importance and need to have communicative skills in English, teaching materials (textbooks) play an important role in teaching English. This study was conducted to determine whether the textbook is in accordance with the communicative activities proposed by Richards and Rodgers in the textbook "Bright An English". The English textbook studied is entitled “Bright An English” (ERLANGGA, 2018). The focus of this research is to analyze communicative activities in English textbooks. This study uses a qualitative descriptive method in conducting research. Textbook analysis has revealed several key findings. Data were collected using documentation analysis. In the textbook, Based on the data obtained, it is clear that there are 68 group work activities, 41 fluency activities and 42 meaningful activities in the textbook. The total percentage is 78%. This shows that the textbooks apply more CLT principles based on Richard's theory
TEACHERS’ CHALLENGES IN TEACHING ENGLISH AT SEVENTH GRADE STUDENTS OF JUNIOR HIGH SCHOOL 18 JAMBI

The purpose of this research is to determine the difficulties that English instructors face when working with pupils in the seventh grade at Junior High School 18 in Jambi. A qualitative descriptive method was utilized throughout the course of this research. For the purpose of gathering data for this investigation, the researchers utilized observation sheets as well as interview sheets. Based on the findings of the data collection, the researchers discovered that there are various obstacles for teachers to overcome when teaching English to students in the seventh grade at Junior High School 18 Jambi. Dealing with kids, the amenities in schools, and even other teachers can provide a number of difficulties. The challenges include a lack of student interest in learning English, a lack of basic knowledge of students about English lessons, the use of a student's mother tongue when learning English, facilities at school, teacher unfamiliarity in technology, and insufficient time lesson hours due to the Covid-19 pandemic that is happening right now.
THE INFLUENCE OF COMPUTER ASSISTED LANGUAGE LEARNING ON STUDENTS’ LISTENING SKILLS.

This study was conducted to determine the influence of computer-assisted language learning on students' listening skills. This research uses descriptive quantitative method in the form of a survey. This method is considered as the right approach for this type of research. Data was collected by distributing it to each class to all twelfth grade in SMAN 4 Batanghari. This study explores students' perceptions that come from students' experiences during the learning process. The results of this study are presented descriptively to reveal students' perceptions comprehensively. This study has a positive influence on computer-assisted language learning by obtaining a Likert scale score which is included in the high category, named 63.70%. it can be concluded that CALL technology can be said to be goood enough to continue to be used in the learning system
A Survey on Automated Support Threshold Based on Apriori Algorithm for Frequent Item sets

Data mining is the technique to extract features from raw data. In Today’s era data mining has a lot of e- Commerce applications. It is widely used in a variety of application areas like banking, marketing and retail industry. The association rules generated from them are still important items. Apriori based algorithms tend to achieve high efficiency; when the database transactions are scarce.Study proposes an approach to deal with frequent item problem. Main goal is to provide an algorithm for frequent itemset mining with automated support thresholds. Apriori follows breadth search and bottom up approaches. It enumerates all frequent items with some modifications. It only checks the items only when it is existed in database for making more frequent itemset. It reduces the time complexity as well as space complexity with the more frequent outcome of itemsets. Key Words: Data Mining, Apriori based Algorithm
Electronic Payments, Stablecoins, and Central Bank Digital Currencies

Cryptocurrencies are reshaping money and payment systems in unprecedented ways. Catalysts include the launch of Bitcoin in 2009, the evolution of decentralised and centralised technologies, the announcement of Libra in 2019, the ongoing live trials of China’s Digital Yuan, and the COVID-19 pandemic and the related move to presenceless payments.This chapter considers the policy issues and choices associated with cryptocurrencies, stablecoins, and central bank digital currencies (‘CBDCs’) and emphasises that there is no single model for CBDC design. The catalysts reshaping monetary and payment systems challenge regulators. While Bitcoin and its thousands of progenies could be ignored safely by regulators, Facebook’s proposal for Libra, a global stablecoin (‘GSC’), brought an immediate and potent response from regulators globally. This proposal by the private sector to move into the traditional preserve of sovereigns– the creation of currency– was always likely both to trigger such a regulatory response and the development of CBDCs by central banks. China has moved first with its e-CNY– an initiative that may, in time, provoke a chain of CBDC issuance around the globe.
THE SURVEY OF STUDENTS INTEREST IN READING BOOK AT SMPN 1 AND SMPN 6 JAMBI CITY

This study aims to describe the reading interest of class VIII SMP Negeri in Jambi City. This research uses survey research method. Sampling in this study using cluster sampling technique. The number of samples in this study were 100 students from 2 well-known schools in Jambi City they are SMPN 1and SMPN 6 Jambi city. In this study, they were asked to fill out a questionnaire regarding students' reading interest as a research instrument. The data analysis technique used is descriptive analysis with quantitative data. The results showed that the reading interest of class VIII Junior High School in Jambi city was in the high category, namely 74.55%. This means that most students in the city of Jambi have a fairly high demand for reading, especially reading knowledge books.
STUDENTS’ LEARNING STRATEGIES IN WRITING ESSAY (A CASE STUDY OF ENGLISH EDUCATION STUDENTS AT UIN JAMBI

The students used different strategies in their learning process in order to make their learning process enjoyable and effective. Here the researcher conducted research with a purpose to identify the learning strategies in writing essay used by the students of English Education Program. This is a qualitative research and used case study as research method. The subject of the research was 22 students who have good score in writing essay. The data of this research are the result of interview with students and documentation. The research finding showed that the students used six learning strategies in writing essay, memory strategies, cognitive strategies, compensation strategies, metacognitive strategies, affective strategies, and social strategies. The students used all of strategy in their writing essay process but different way.
Examining the Effect of Information Quality and Quantity, Source Credibility on Cognitive Trust and Its Impact on Intention to Adopt Information

Technological development allows consumers to easily share reviews about their opinions, experiences, and feedback on a product or service since the advent of online communication. Word of Mouth (WOM) has evolved into electronic Word of Mouth (eWOM). Information is obtainable from different sources, but despite easy access, some are not useful as high-quality information often coexists with misinformation. This study conceptualizes that individuals adopting the information are influenced by the relationship between information quality, source credibility, and the information quantity with the mediation of cognitive trust of e-commerce visitors. The sample included e-commerce visitors, and the data were collected through the online distribution of questionnaires and face-to-face meetings. A total of 500 samples were considered, and purposive sampling was used. The Partial Least Square-Structural Equation Modeling (PLS-SEM) technique, with the help of the SmartPLS 3 application, was employed to analyze the data. The results showed a correlation between information quality and quantity and the impact of source credibility on the cognitive trust of e-commerce visitors. Also, it revealed the influence of cognitive trust on the intention to adopt information.
Developing a Hybrid model with Shades of Sentiment for Understanding Teenagers’ Academic Distraction Problems

In recent years, many techniques have come up in the field of sentiment analysis. In the field of the medical domain, sentiment analysis has been used for the areas like information retrieval, feedback analysis, dialogue conversation, and review analysis. Psychological analysis through the window of sentiment analysis is still unfolded area. We have designed and developed a hybrid computational model that maps teenagers’ sentiments to their behavioral patterns and academic distraction problems. We have also developed a sentiment shaded lexicon which defines the ontology for various shades of sentiment with the help of Bling Liu’s positive and negative word dictionary. We have used a semantic lexicon-based approach and a rule-based classifier in our hybrid computational model. Rules are applied to user-input text, which teenagers write. We have extracted sentiments expressed in the user input text and we have also achieved to identify academic distraction problems of teenagers. We have computed the performance metrics of the model on 155 samples, randomly collected from teenagers (age group 13-19 years). We have computed accuracy at two stages, first at the sentiment extraction stage and second at the final output level. The error analysis is also presented in this paper. After working on error analysis, our model has achieved an accuracy of 90% for sentiment extraction and 87% for derived academic distraction problems.
The anthropological theory of the didactic as a methodological proposal to analyze digital resources

This article presents an analysis of digital resources for mathematics teaching and learning based on the anthropological theory of the didactic as a methodological proposal. Thus, data were collected from the general information available on the PhET digital platform: general descriptions of the digital resources Equality Explorer: Basics and Equality Explorer, teaching resources, and activities proposals sent by teachers. Furthermore, digital resources were handled to determine their mathematical praxeologies: the types and subtypes of tasks and their respective techniques and technologies. Combining ostensive aspects is highlighted among the research results as indispensable for working with mathematical praxeologies involving digital resources. In short, the results reveal that adopting the ATD as a methodological possibility allows analyzing not only the mathematical organization but can also support reflections about the didactic praxeology and the personal and institutional relations around the mathematical object.
Pro-$p$ Criterion of Good Reduction of Punctured Elliptic Curves

In this paper we consider an affine hyperbolic curve $X$ over a $p$-adic local field $K$ obtained from an elliptic curve $E$ by removing a $K$-rational point given by the origin $O$. We introduce the maximal geometrically pro-$p$ quotient $\Pi\_X$ of the étale fundamental group $\pi\_1^{\mathrm{ét}}(X)$ of the hyperbolic curve $X$ and analyse the problem of determining the reduction type of the elliptic curve $E$ from the topological group $\Pi\_X$. As our main result we give a group-theoretic construction of the reduction type of $E$ from the group $\Pi\_X$ under the assumption that $p\ge5$ and that $E$ has a nontrivial $K$-rational $p$-torsion point.
AGP-Net: Adaptive Graph Prior Network for Image Denoising

Image denoising is a critical problem in industrial information applications since noisy images can have adverse effects on the performance of many industrial tasks. Currently, Transformer structures and graph convolutional networks (GCNs) have been widely employed in image denoising to capture long-range dependencies for the performance promotion. These methods, however, severely suffer from three major problems. Initially, the long-range dependencies captured by Transformers and GCNs are only focused on the pixel level and patch level, respectively. This leads to the coarse retrieved feature, hindering further performance promotion. In addition, due to the limited training data, especially for the noisy images with highly diverse and complex noise, the denoising process may lack sufficient feature for reconstructing denoised images. Eventually, the limited training data may also results in over-fitting, leading to poor generalization in the denoising process. This article first proposes adaptive graph prior network (AGP-Net) using a novel graph construction method to capture the long-range dependencies on both the pixel and patch levels. Then, we propose graph supplementary prior and graph noise prior in AGP-Net to adaptively generate supplementary feature and regularization noise for improving the performance and generalization of image denoising. Extensive ablation and benchmark tests show our AGP-Net achieve the most advanced image denoising performance.