Reviewerly/exHarmony huggingface dataset:
Pengembangan Ekstraksi dalam Identifikasi Kelainan Gigi pada Citra Dental X-ray imaging (DXRI)

Many of us as Muslims do not know how to act when the call to prayer is heard, which turns out to have a very noble virtue. This animation is expected to provide insight for all of us about the virtues of answering the call to prayer. In addition, this animation can also attract and entertain the audience. Technological advances that are growing rapidly today cover all fields. One of them is the field of multimedia such as animation. This study aims to create 3D animation that is used as a learning medium. The application has the theme of etiquette when calling the call to prayer. 3D animation is the process of placing objects and characters in three-dimensional space and manipulating them to create the illusion of motion. Design in application development using Blender software and applications in making animation. The results of the resulting application present an interactive form of teaching for users in providing knowledge about manners when the call to prayer is heard. With this application, it is hoped that it can provide an alternative to provide a form of teaching, especially for children to explain etiquette when calling the call to prayer
Negotiation Strategy to Persuade Students in an International Class

The word “persuasion” carries both good and bad connotations. Teaching as a form of persuasion needs strategies to persuade and negotiate with students. The negotiations are aimed at making students actively involved in the teaching and learning process. This article analyzes several persuasion strategies used in the classrooms to negotiate with students. For this purpose, the author observed the ESP (English for Specific Purposes) class for university students at International Program Universitas Islam Indonesia (UII). It was observed that during interpersonal communication between a teacher and students, the language used contained interpersonal function as the communication that aims to educate students has a lasting effect and also affects how well the students comprehend information or acquire the message. The persuasion that the teacher applies should consider several negotiation strategies. The study showed how certain acts of speech can influence students’ minds and drive their actions.&#x0D; Keywords: negotiation, persuasion, classroom interaction
Enhancement the creativity of teachers in the context of digital education

This research paper presents the concept of digitalization of the educational process, which is a deep counter transformation of the educational process and its elements, on the one hand, and digital technologies and tools used in the educational process.
TEACHING ENGLISH SPEAKING STRATEGIES

One of the important aspects that need to be considered in the process of instruction is teaching strategies. Hence determining appropriate teaching strategies can improve learning outcomes well. The objective of this research is to know and to describe the strategies of teaching English speaking. It was conducted at Tunas Unggul Junior High School Bandung and used qualitative descriptive method. The data was collected through interview, questionnaire, observation, and documentation. The research found that the teaching English speaking strategies used by the school have been widely influence by communication and students-center strategies. This measure taken has given much beneficial impact to all parties, particularly teachers and students for their English speaking development. Therefore, in teaching speaking, it is important for everyone, particularly educator to develop their teaching strategies which meets to the students need.
ANALYZING THE TYPES OF SPEECH ACTS USED IN TEACHING-LEARNING INTERACTION

This qualitative study was aimed at analyzing the types of speech acts used in teaching-learning interaction. The participants of this study were one class of 10th grade students of SMAN 1 Bandar Lampung. In collecting the data, observation and audio-visual material were used. Then, descriptive analysis was used to analyze the speech acts used in teaching-learning interaction. The results of this study showed that the speech acts mostly used was directive speech acts. On the other hand, declarations speech acts was not used at all. In conclusion, since the role of the teacher is as an initiator and sustainer of the interaction in the classroom and regarding the opportunities for the full range of human interactions are limited which make the students get more difficulties in acquiring appropriate language use patterns, therefore, directives speech acts is appropriate, used in classroom interaction context to help the students to acquire the target language in the comprehension input and lead them to have positive behavior for learning.&#x0D; Keywords: speech acts, teaching-learning interaction.&#x0D;
Methods of formation of the scientific creativity of primary students through speech culture

In this study, it is aimed to form methods of creating scientific creativity of students through speech culture. The study was carried out in the spring term of 2021–2022, with the participation of 354 university students, and was carried out in the quantitative research model. In the study, university students were given training for the formation of scientific creativity with a 2-week distance education model. In order to collect data in the study, the ‘Speaking Culture and Scientific Research’ data collection tool developed by the researchers was used. The data collection tool used in the research was delivered and collected by the university students’ Google drive form method. The analysis of the data was made by using the SPSS programme, frequency analysis and t-test; the results were added to the research in the presence of tables. As a result of the research, it was concluded that the speech culture of the university students improved and the level of scientific creativity increased.&#x0D; Keywords: Speech culture, scientific creativity, distance education, university students;
Application of the LDA Model for Obtaining Topics from the WIKICORPUS

A fundamental problem in text analysis of great amount of information is to discover the topics described in the documents. One of the most useful application involves the extraction of topics from documents corpus. Such is the case of Wikicorpus that consists of approximately 250,000 documents totaling in 250 millions of words. In this work, a system based on the Latent Dirichlet Allocation (LDA) model has been developed to carry out the task of automatically selecting the words of the corpus and, based on their frequency in the documents, it would indicate that they may or not belong to certain topic, classifying words without human intervention. Due to the large amount of information of the corpus, a Serial-Parallel Algorithm (SPA) in C/C++ and OpenMP have been used to perform parallel programming, since in parallel stages all threads must share certain variables, so the design architecture was shared memory
Study on Factors Influencing Perceived Advertising Values among Customers of Automotive Companies in the Kathmandu Valley

Background: This study examines the perceived advertising value of customers associated with social media advertisements disseminated by automotive companies in Kathmandu valley. In the context of the Nepalese automobile market, automotive companies engage and interact with their existing and potential customers on different social media platforms. However, there is a marketing research gap in understanding the advertising value customers associate withsocial media advertisements.&#x0D; Objective: This research paper aims to examine factors that influence perceived advertising value for both existing and potential customers of automotive companies associated with andexpect from social media advertisements disseminated by automotive companies.&#x0D; Methods: The final sample of this study consists of 120 customers existing and potential (N=120) automotive companies forboth new and reconditioned vehicles in Kathmandu Valley. Besides, in this study, cross-sectional quantitative research design and descriptive and inferential statistics have been used to report data analysis and findings.&#x0D; Results: The findings of this study indicate that information, credibility, and entertainment, have a significant influence on advertising value customers associate with and expect in social media advertisements of automotive companies in Kathmandu valley&#x0D; Implication: The study concludes that enhancement in information, credibility, and entertainment also enhances the perceived advertising value of automobile customers. Therefore, as marketing research, this study recommends automobile dealer agencies in Kathmandu valley integrate entertainment, credibility, and information elements when developing content for their social media advertisements.To fulfill customer expectations, social media advertising needs to include content that is rich in information, appears, and comes across as credible to customers with entertaining elements that positively engagethe audience.
AN INVESTIGATION OF UNDERGRADUATE STUDENTS' ORAL COMMUNICATION STRATEGY (OCS) IN DEBATE CLASS

Dornyei (1995) classifies communication strategies based on the problem-oriented perspective. In this taxonomy, the oral communication strategies refer to the speakers’ strategies used when encountering some communication problems. This qualitative study was conducted in a descriptive case study to investigate undergraduate students’ oral communication strategy in debate class. The participants of this study were the third semester of undergraduate students who join in a critical speaking class. There were 24 students. The observation was used to obtain the data. The data has been collected from this instrument was analyzed using the steps from Gay et al. (2006) with memoing, describing, and classifying. The result of the study revealed that the students used 11 of 12 types of oral communication strategies. The first is message abandonment with 12 utterances (4.5%). The second is topic avoidance with five utterances (1.81%). The third is circumlocution with one utterance (0.37%). The fourth is an approximation with six utterances (2.25%). The fifth is using all-purpose words with five utterances (1.81%). The sixth is word coinage with five utterances (1.81%). The seventh is using non-linguistic means with 12 utterances (4.5%). The eighth is foreignizing with two utterances (0.75%). The ninth is code-switching, with 27 utterances (10.2%). The tenth is the appeal for help with 35 utterances (13.2%), and the last is the use of fillers applied by students with 157 utterances (58.8%). Meanwhile, the students do not apply the literal translation as a communication strategy when conducting a debate. It implies that the types of oral communication strategies used by the students in this study involve the ability to overwhelm language faults in English.
Blockchain-based Self-sovereign Identity Management System

Abstract - The whole concept of self-sovereign identity (SSI) is gaining a lot of optimism, with the emerging Blockchain Technology in the current tech-scenario. It is a major change in how online interactions will take place in the future considering the identity of each user. The different aspects of SSI are examined by various works in the literature This paper surveys the origin of identity, various digital identity models and how it leads to self-sovereign identity. It then goes on to discuss related research, as well as the SSI's building blocks, which include decentralized IDs, verifiable credentials, a distributed ledger, and a variety of privacy mechanisms. Finally, it proposes a solution for self-sovereign identity by using the Ethereum platform for blockchain and other technologies
A Parallel Strategy for Solving Sparse Linear Systems Over Finite Fields

In this paper we describe a number of parallel techniques that were applied to the problem of finding the null-spaces of thousands of large sparse matrices. This collection of matrices were derived from the discrete logarithm problem attack over the finite field $\F_{3^{6\cdot 509}}$ recently carried out by Adj et al. in~\cite{Adj2017}. Our software library was mainly executed in the supercomputer ABACUS~\cite{abacus}, where in total $21,870$ large sparse linear algebra systems were processed. Solving those linear algebra problems involved a computational effort of over $138$ core-years, requiring a memory space of over 645 gigabytes to store the corresponding vector solutions.
Using Open Access Research Discovery Solution Dimensions to Increase Research Outputs &amp; Visibility for KLISC Members

Training Centre in Communication(TCC Africa) partnered with Digital Science to introduce Open Access Research Discovery Solution, Dimensions, to the Kenya Libraries and Information Services Consortium (KLISC) members.
Sentiment Analysis of Community Response Indonesia Against Covid-19 on Twitter Based on Negation Handling

The use of the internet globally, especially on the use of social media, includes Indonesia as one of the most active users in the world. The amount of information that can be obtained can be used to be processed into useful information, for example, information about the public sentiment on a particular topic. Tracking and analyzing tweets can be a method to find out people's thoughts, behavior, and reactions regarding the impact of Covid-19. The key to sentiment analysis is the determination of polarity, which determines whether the sentiment is positive or negative. The word negation in a sentence can change the polarity of the sentence so that if it is not handled properly it will affect the performance of the sentiment classification. In this study, the implementation of negation handling on sentiment analysis of Indonesian people's opinions regarding COVID-19 on Twitter has proven to be good enough to improve the performance of the classifier. Accuracy results obtained are 59.6% compared to adding negation handling accuracy obtained is 59.1%. Although the percentage result is not high, documents that include negative sentences have more meaning than negative sentences. However, for the evaluation using the MCC evaluation matrix, the results were quite good for the testing data. For the results of the proposed method whether it is suitable for data that has two classes or three classes when viewed from the results of the evaluation matrix, the proposed method is more suitable for binary data or data that has only two classes.
IMPLEMENTASI PERPUSTAKAAN SEKOLAH SEBAGAI SUMBER BELAJAR (Pemanfaatanya Bagi Peserta Didik)

The value and benefits of the school library as a learning resource do not mean anything for teaching if its existence is not utilized optimally, so this requires the attention of students and teachers to better utilize it. To obtain maximum learning outcomes students must enhance interaction with these learning resources. Thus students should have high motivation and creativity to use the school library as a source of learning so that it becomes a positive habit in themselves. In addition through the school library students can educate themselves on an ongoing basis.
STRUCTURAL AMBIGUITY ON BBC NEWS INSTAGRAM POST

The arrangement of words in a grammatically correct sentence can sometimes still lead to multiple interpretations. BBC News, in its Instagram posts, contains sentences that are structurally ambiguous. Therefore, this study aims to find out types of structural ambiguity on BBC News’ Instagram posts that are published from February 2021 until July 2022 and the interpretations arise from those ambiguities. This study uses qualitative method with document analysis technique. The analysis is done by some steps: investigating which word or phrase that makes the sentences become ambiguous, categorizing the ambiguities to their each types, finding out meanings that are produced by those ambiguities, parsing the sentences by using tree diagram, and interpreting the actual meaning of the news headlines or sentences by relating it to the context. The result shows that there are fifty posts from BBC News that contain sentences which are structurally ambiguous. Using theory of Hirst, those ambiguities are categorized as attachment and analytical ambiguity. The ambiguities are mostly caused by phrases that are unclear what their functions are in a sentence. From the result, it can be seen that structural ambiguity is a language phenomenon that is still widely found in our surrounding, not to mention the news headlines.&#x0D; Keywords: structural ambiguity; BBC News; Instagram; headline; sentence
AKTIVITAS BELAJAR SISTEM DARING SISWA DI SMA NEGERI 1 BAHODOPI PADA MASA PANDEMI COVID-19

This study aims to explain the online learning activities of students at SMA Negeri 1 Bahodopi during the Covid-19 pandemic. This type of research is descriptive research. The population of this study were students of class X, XI and XII MIPA at SMA Negeri 1 Bahodopi. The sample in this study amounted to 66 students who were determined by the quota sampling technique. Data collection techniques using a questionnaire. The results of online system learning activitiesStudents during the Covid-19 pandemic were seen from 7 indicators, namely 1) visual activities obtained a percentage of 61.03%. 2) oral activities obtained a percentage of 66.8%. 3) listening activities obtained a percentage of 72.03%. 4) writing activities get a percentage of 70.15%. 5) drawing activities obtained a percentage of 76.05%. 6) mental activities obtained a percentage of 63, 03%. 7) emotional activities get a percentage of 75.06%. From this research it can be concluded that of the 7 indicators have enough categories with an average percentage of 69.16%.
Natural language processing techniques for translation

This chapter describes NLP techniques fostered and used for translation and conceivable ways of exploiting meta-languages for translation. It explains computational methods that have helped people working in the translation production process. The chapter presents NLP tasks that would help automatically identify document properties. It gives a brief introduction of machine translation. The chapter describes the potential ways of extending current NLP techniques. It explains existing NLP techniques used in the translation production process, referring to the standardised translation workflow, ISO 17100, adopted by translation service providers, consisting of three stages: pre-production processes and activities, production processes, and post-production processes. Documents are attributed with various types of properties and consisting of various types of textual and non-textual elements. It has introduced several potential ways of enhancing the neural models with the meta-languages for documents and text segments as well as inline elements.
Machine Learning for Knowledge Discovery with R, Methodologies for Modeling, Inference and Prediction

Journal of the Royal Statistical Society: Series A (Statistics in Society)Early View BOOK REVIEW Machine learning for knowledge discovery with R, methodologies for modeling, inference and prediction , Tsai, Kao-Tai, 2022, Price: $99.95, Pages: 260, ISBN: 9781032065366 Amit K. Chowdhry, Corresponding Author Amit K. Chowdhry Amit_Chowdhry@urmc.rochester.edu University of Rochester, Rochester, New York, USASearch for more papers by this author Amit K. Chowdhry, Corresponding Author Amit K. Chowdhry Amit_Chowdhry@urmc.rochester.edu University of Rochester, Rochester, New York, USASearch for more papers by this author First published: 14 June 2022 https://doi.org/10.1111/rssa.12882Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
Hierarchical Inference in Gaussian Models

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Stimulus Fading Techniques and Token Economic Techniques to Increase Talk Ability in Selective Mutism Students

Children with selective mutism generally have difficulty in social communication and communication in class which ultimately affects their academic grades. Therefore, there needs to be an effort to help students who experience selective mutism, especially at school. The purpose of this study was to determine the effectiveness of using stimulus fading techniques and economic tokens in improving speaking skills in students with selective mutism. This study used a single-subject design with the subject of a 7-year-old male student who is in grade 1 of elementary school and has selective mutism. The results of the intervention showed an increase in the number of subjects' speaking ability wherein the baseline condition 1 subject spoke 3 times and at baseline 2 subjects managed to speak 21 times. Based on these results, it can be concluded that the use of stimulus fading techniques and economic tokens can improve the subject's speaking ability, especially in answering the teacher's questions and imitating the teacher's instructions.
IMPLEMENTATION OF INFERENCE ENGINE WITH CERTAINTY FACTOR ON POTENTIAL DIAGNOSIS OF BRAIN TUMOR DISEASE

An expert system is a system that has the ability of experts or experts who master a particular field to assist in solving problems. Certainty factor (CF) is one of the methods in an expert system that can define the level of certainty based on facts to show the level of confidence of the expert. This study aims to apply a certainty factor (CF) algorithm to solve the problem of diagnosing potential human brain tumors. Because the symptoms that are felt are not necessarily brain tumors, it is necessary to analyze whether the person has the potential to have a brain tumor or not, even if the potential level is. Brain tumor disease is one of several types of dangerous conditions. This disease is caused by the abnormal growth of cells around the brain. This research produces an application that can diagnose potential brain tumor diseases based on symptom input selected by the user. Then the expert system can display the diagnosis results in percentages and solutions from the results of the diagnosis. The study results indicate that the CF method can solve the problem of uncertainty by giving a degree of confidence from an expert and system user. The accuracy test results resulted in an accuracy value reaching 95%. These results indicate that the system can function and can diagnose potential brain tumor diseases properly
The University Teacher: Catalyst of the Emotional-Technological-Ontological Logic in the Teaching of Exact Sciences

The aim of the study was to design a theoretical approach to the existing techno-ontological logical emotions of university mathematics teachers working in universities in Ecuador. The research was qualitative. For the selection of the sample, a random selection was carried out under the criterion of intentionality. Twenty (20) students and eight (8) mathematics teachers from different universities participated. For data collection, we used a participatory digital observation guide and an open-ended interview. Three categories emerged from the results: the andragogic retrotopia of being a mathematician, the emotional scar in teacher training and the educational perception of the university student. We conclude with a theoretical approach in which the deficit of professional digital training in mathematical sciences allows the emotional logic of the Ecuadorian teacher to drive him/her to portray an academic being that generates hatred and rejection in the university educational community.