Reviewerly/exHarmony huggingface dataset:
Application of Picture Media to Improve Students' English Present Continuous Tense Speaking Ability

The ability to speak English with good and correct pronunciation, accuracy, fluency, and intonation is a challenge for students in forming new knowledge. There are still many students who do not master speaking skills in English. Therefore, this study aims to evaluate the application of image media techniques to students' speaking skills in the present continuous tense. This research is descriptive qualitative research. This research was carried out in three cycles, each consisting of two learning cycles or face-to-face. The research subjects were 30 education participants. The method used to collect data is observation, interviews, and tests. The instrument used to collect data is a test question. The data analysis technique used is descriptive qualitative and quantitative analysis. The results showed that students in cycles I, II, and III had an average score which indicated that image media techniques could improve English speaking skills in the present continuous tense. It was concluded that the application of image media could effectively improve the ability to speak English. Picture media can facilitate students in learning English. This finding can also be used as a reference for teachers to improve the speaking learning process.
The Use of Authentic Materials in Teaching English at Vocational High School

The selection of appropriate teaching materials can be very important to make the student easier in learning English, especially in vocational high school. Teaching English at vocational school is also related to contextual teaching which must be related to the use of materials that are closer to the real world where the learners interact. Therefore, authentic materials become one of the materials that can be used in the teaching-learning process because it is made contextually or is related to real-life material. Additionally, the integration of local content-based materials also provides many benefits for the students in learning English. The goal of this study is to find out teachers’ perceptions on the implementation of authentic materials in English classrooms in vocational high schools. The participants were five English teachers from five vocational high schools located in Pacet, Mojokerto, East Java, Indonesia. The data of this research were gathered using a semi-structured interview. The data analysis technique included data reduction, data display, and drawing conclusions. The result reports that all teachers in vocational high schools in Pacet have positive perceptions of the use of authentic materials in teaching English. It also can be concluded that all the teachers are implemented authentic materials as well as integrate local content in their teaching.
Language Anxiety in Online Japanese Speaking Learning: Study on Beginner Level of Japanese Language Students

Anxiety in the language classroom is an affective filter that interferes with input from being used for language acquisition (Krashen, 1982). Moreover, Ellis (2015) stated that anxiety could cause poor learning outcomes. This study aims to investigate 1) level of language anxiety in beginner level of Japanese language students in online learning situations; 2) relation between language anxiety and self-perception; 3) relation between language anxiety and speaking-based learning outcomes; 4) relation between self-perception and speaking-based learning outcomes, and 5) the sources of language anxiety. A survey was administered to 149 Japanese language students from two state universities in Sumatra. There were 67 students in their first year and 82 in the second year. About 20 students participated in the interview. This study adopted the Japanese language anxiety scale developed by Motoda (2000) to measure anxiety level and used the self-perception scale developed by Kitano (2001) to measure students’ perception of speaking ability. The study found that language anxiety in online learning situations was high. Correlation analyses showed a negative correlation between language anxiety and self-perception. If the level of anxiety rises, self-perception will decrease. Meanwhile, there was a positive correlation between self-perception and student speaking-based learning outcomes. Then, if self-perception increases, student outcomes will increase. There was no correlation between anxiety and speaking-based learning outcomes. The study identified that anxiety in online learning activities stems from personal and interpersonal anxiety, beliefs about teachers, classroom procedures, interaction activities, aspects of infrastructures, and aspects of the language test.
Использование визуальной аналитики для разработки человеческих и машино-центрических моделей: обзор подходов и предлагаемых информационных технологий

The use of a visual analytical system in machine learning is the basis for the integration of human and the use of his intellectual capabilities in the construction of models. At the same time, visual analytics is used to expand human knowledge and is used as a research tool. We investigate the forms and goals of using visual analytics workflow towards the formation of the final product. Workflow is divided into human oriented and machine-oriented in order to build a model as an information processor and decision-making mechanism. Models are built on the basis of the end user, which can be either a machine or a hu-man.The concepts of model building and the role of machines and humans in these processes are investigat-ed. A practical implementation of the classification information technology in the studied concept ‘using op-posite model’ in the machine-oriented visual analytics workflow for using the machine model is proposed. The basis for this model is a model formed and used by human. To classify data, human intellectual abilities are used. The boundaries of classes are determined by a human and then projected into a hyperspace of at-tributes with the formation of a classification model that the machine uses. Information technology allows the machine to use a model built for humans.
Students' perception on the use of Google Translate in learning Pronunciation

Since the Covid-19 pandemic that occurred in Indonesia, teaching and learning activities must be carried out online. Therefore, to improve students’ pronunciation skills, the teacher suggests to students to use Google Translate Application as media to learn pronunciation independently. Google Translate is an application that has various features, one of them is the pronunciation feature that can convert sound into text. This feature can be used by students’ to practice pronunciation so that it can train students’ ability to pronounce difficult words. The aim of this research is to describe the students’ perceptions of using Google Translate Application and to describe the obstacles do students find using Google Translate Application as media in learning pronunciation.&#x0D; This research used descriptive qualitative research design. The participants of this research is 15 students of the tenth grade an Islamic public senior high school in Kudus, Indonesia. The data was collected by distributing a questionnaire to the respondents.&#x0D; The result of this research shows the students’ perception on using Google Translate Application as media in learning pronunciation was positive, because students can learn practically and independently. While the obstacles that students found when learning pronunciation using Google Translate were that Google Translate often had errors, could not be used offline, took a long time to load, and had low accuracy.&#x0D; Therefore, to help students improve their pronunciation ability, students’ can use Google Translate Application as learning media. To minimize obstacles when using Google Translate Application, it is recommended to use Wi-Fi, so that the connection is good so that loading can be faster and reduce errors.&#x0D;
The concept of the digital transformation of the International University of Information Technology

В данной работе представлен обзор практических подходов разработки концепции цифровой трансформации Международного университета информационных технологий. Приводится описание подготовительного этапа и мероприятий по организации проекта цифровизации вуза. Дано описание модели цифрового университета. This paper provides an overview of practical approaches to digital transformation of the International University of Information Technologies. The description of the preparatory phase, and activities for the organization of the project of digitalization of the university. A description of the digital university model is given.Keywords: digital university, digital pyramid, higher education, digital campus elements, online applications
LAB KIT DEVELOPMENT TO IMPROVE STUDENT’S ATTITUDES AND ACHIEVEMENTS IN DISTANCE LEARNING

A shortcoming of distance learning is the lack of substantive integration of hands-on activities into online classrooms. We conducted a research and development study, where the lab kits and tutorial videos were sent to students to perform experiments in their own homes. We planned, tested, developed, improved, and implemented kits into experimental distance learning. This research was conducted to improve previous studies in linear subjects. Findings have implications for distance learning in rural areas that have limitations. Furthermore, our findings illustrate the potential amplifying effect of this learning environment configuration for science teachers. Thirty-two students, four experts, and three science teachers participated in this research. The product’ validity and feasibility were obtained by descriptive analysis of experts and students' assessment data. Students’ learning motivation and activities were observed and analyzed descriptively. Students’ cognitive learning outcomes were obtained by analyzing pretest and posttest data using paired sample t-test. This learning helped students achieve intellectual goals by significantly improving students’ learning motivation, activities, and cognitive outcomes.
Characters in Chimamanda Ngozi Adichie’s Americanah

In this article, the main purpose has been the characterization of characters in the Nigerian author Chimamanda Ngozi Adichie’s Americanah. To carry out the task, the research has been conducted through the lenses of the deconstuction approach. Through the completion of the task, the characters have been divided into three groups namely major characters, the minor characters, and other characters. At the end of the investigation, it has been discovered there are two major characters in the novel. As for minor characters there are two characters as well. When it comes to other characters, although in this article their number has shortened to two characters, it should be mentioned that there are more characters who should belong to this last group of characters. This short number of characters belonging to other characters has been due to the constraint of the article size.
Statistical selection of ASTER’s VNIR, SWIR and TIR band ratio combinations for geological photointerpretation of Porongos Complex (RS, Brazil)

Aiming an optimized geological photointerpretation in terms of maximum availability of surficial mineral, soil and rock spectral information, nine, vegetation masked, ASTER BR images were calculated, with respect to the Porongos Complex (southernmost of Rio Grande do Sul state, Brazil).Those ratios were obtained utilizing VNIR, SWIR and TIR data.All the eighty-four possible threecomponent FCC were evaluated through the SI, which ranked those BR triplets from best to worst, regarding information availability, by assessing the determinant of the covariance matrix of each one of them.The false color composite (4+5)/6 on the red component, 2/1 on the green component and 12/13 on the blue component, was the triplet ranked as the best, and was compared with the available geological information.Through the application of the described methodologies, the authors envision valuable qualitative geological information extraction related to the Porongos Complex in the studied region, as well as the possibility of further integration and validation with collateral data.
Analysis of named-entity effect on text classification of traffic accident data using machine learning

&lt;span lang="EN-US"&gt;With the rising number of accidents in Indonesia, it is still necessary to evaluate and analyze accident data. The categorization of traffic accident data has been developed using word embedding, however additional work is needed to achieve better results. Several informative named entities are frequently sufficient to differentiate whether or not information on a traffic accident exists. Named-entities are informational characteristics that can offer details about a text. The influence of named-entities on thematic text categorization is examined in this paper. The information was collected using a Twitter social media crawl. Preprocessing is done at the beginning of the process to modify and delete useful text as well as label specified entities. On Support Vector Machine (SVM), scheme comparisons were performed for (i) Word Embedding, (ii) the number of occurrences of Named Entities, and (iii) the combination of the two is known as a Hybrid. The Hybrid scheme produced an improvement in classification accuracy of 90.27 percent when compared to Word Embedding scheme and occurrences of named entities scheme, according to tests conducted using 1.885 data consisting of 788 accident data and 1.067 non-accident data.&lt;/span&gt;
The Effectiveness of the Minimal Pairs Technique in Learning Japanese Pronunciation

Distinguishing and pronouncing the sound of sha, sa, ja, za, tsu, double sounds, long sounds, nasal sounds, and youon sounds are still considered difficult for Japanese learners; it is becoming a problem because when the learners cannot distinguish the correct sounds in Japanese, it will result in an inability to pronounce and write Japanese sounds correctly. This study has tested the effectiveness of the minimal pairs technique in learning Japanese pronunciation and the learners's response to the technique. The research employed a quasi-experimental quantitative method by applying the minimal pairs technique to learn Japanese pronunciation in one class, Japanese level N5 or beginner level. The comparative statistical calculation result showed that the Minimal Pairs model is effective in improving Japanese pronunciation in long vowels, double consonants, semi-vowel sounds, tsu sounds, nasal sounds, and also helped the learners’ to understand differences in sa and sha line sounds and the difference between the sounds of the za and ja lines. The questionnaire result showed that the learners feel that the technique is quite tedious, but on the other hand, the technique is beneficial for them in learning and practicing Japanese pronunciation.
Willem Bart de Lint (2021) Blurring Intelligence Crime: A Critical Forensics. Singapore: Springer

David Hughes reviews Blurring Intelligence Crime: A Critical Forensics
Recognition of Hand Movements for Specially-Abled

Abstract: The procedure through a user can make gestures to provide or deliver information is called Recognizing gestures. In daily life our physical gestures have proved to be an incredible tool of communication. An entire set of physical gesture man contribute to a whole language like that of the sign language. The have the ability to smoothly dispatch information, facts, emotions and feelings. Rightly so a combination of physical behaviour and emotional expression. Broadly speaking, hand gesture can be broken down into two categories: static gestures and dynamic gestures. For the initial type, the gesture the hand makes denotes a sign. For the type that follows which is dynamic gestures, there is a sequence of actions that takes shape of gestures, taking place which communicates certain message. Recognizing gestures can predict the intent of the user via a model without human interference. Recent times has seen tremendous amount of work done on designing, building, and upgrading existing Neural Network model into a different form of structure which carries the original purpose of classification but does so with even more promising accuracy and precision. The EfficientNet Model is one that has recently resurfaced. A model constructed by scaling the parameters of an existing Convolutional Neural Network. In this research, we suggest employing an EfficientNet Convolutional Neural Network to identify static hand motions. The process would involve extracting static hand gestures, converting them to gray scale to lessen the computational cost. Segregating the dataset obtained into training, testing, and validating datasets. Later in the upcoming Major Project, a CNN will be built with EfficientNet, and K-fold cross validation will be used for training and testing. We will later in the upcoming Major Project, compare our findings to earlier research and work done on the architecture of Neural Networks. Keywords: Hand Gestures, CNN, EfficientNet, ResNet, disability
The Mediated Effect of Stress on Uncertainty and Students’ Perceived Performance in Online Classes: A Mediation Analysis

Changes from the mode of learning in person to learning online due to the global pandemic have brought up tremendous difficulties for both teachers and students.Changes disrupt previous learning routines developed under the mode of face-to-face learning, thus creating uncertainties.Previous research demonstrated that uncertainty is positively related to stress.The rise of uncertainties amidst the new changes will be likely to lead to a higher stress level.Previous research showed that stress levels correlate with students' academic performance negatively.Thus, this study investigated mediated role of stress on the relationship of uncertainty and students' academic performance during the pandemic.The mediation analysis results showed that the indirect effect of uncertainty on academic performance through stress is significant.
Systematic Exploration and Classification of Useful Comments in Stack Overflow

Stack Overflow is a public platform for developers to share their knowledge on programming with an engaged community.Crowdsourced programming knowledge is not only generated through questions and answers but also through comments which are commonly known as developer discussions.Despite the availability of standard commenting guidelines on Stack Overflow, some users tend to post comments not adhering to those guidelines.This practice affects the quality of the developer discussion, thus adversely affecting the knowledgesharing process.Literature reveals that analyzing the comments could facilitate the process of learning and knowledge sharing.Therefore, this study intends to extract and classify useful comments into three categories: request clarification, constructive criticism, and relevant information.In this study, the classification of useful comments was performed using the Support Vector Machine (SVM) algorithm with five different kernels.Feature engineering was conducted to identify the possibility of concatenating ten external features with textual features.During the feature evaluation, it was identified that only TF-IDF and N-grams scores help classify useful comments.The evaluation results confirm Radial Basis Function (RBF) kernel of the SVM classification algorithm performs best in classifying useful comments in Stack Overflow regardless of the usage of the optimal combinations of hyperparameters.
A Survey on Knowledge Graph Representation Learning with Text Information

Knowledge graph representation learning provides a lot of help for subsequent tasks such as knowledge graph completion, information retrieval, and intelligent question answering. By representing the knowledge graph as low-dimensional dense vectors, these tasks can improve efficiency significantly. However, limited by the sparseness and huge scale of the actual structure, representation learning only from a structural perspective can no longer meet the research needs.
Cultural Elements Analysis and Reconstruction of Elementary English Textbook -Focusing on Global Citizenship-

As globalization spreads all over the world, English is being used as a major communication tool not only among those who speak their own language but also between people who are not English speakers.In addition to the ability to utilize the English language, understanding the relative culture can build relationship when people with diverse cultural backgrounds communicate.The revised curriculum that was announced by the Ministry of Education in 2015 suggested 'a human character who lives together with community spirit as a democratic citizen and practices consideration and kindness.'In order to achieve the educational objective, students should be taught to take the responsibility for their community's problem solving and regional development.School education should also make students get along as global citizens with community spirit and democratic civic awareness.The purpose of this study is to find out what to teach in civic education and how to teach civic education based on English textbooks.This study designed contents and methods of democratic civic education for elementary school students based on analysis of the 2015 revised curriculum and English text books.Furtheermore, it suggests the methods of civic education based on English textbooks.This study is intended to provide direction to democratic civic education in elementary English education and a guide for a reconstruction of English curriculum.
Divide &amp; Quantum

When the operating system was introduced to the world, many functions of it were also introduced that included process management, file management, memory management, networking. As the operating system tends to interact with different operations at the runtime so keeping that in mind we can say that the process management is most essential in an operating system because it allows the operating system to interact with different operations more efficiently and it also improves the timing of the operating systems to interact between the processes. In order to manage between processes many algorithms were introduced by different people and different minds and today we find this as an opportunity develop something new by keeping the previous algorithms in mind and compare them and find a best possible result.
Malvertising Through Cortana

In the digital World full of hackers and scammers, data security is what everyone needs the most. Hackers and scammers invent the new ways of stealing the information on daily basis. A comparatively modern concept in the World of hacking is malvertising. The major focus of this research paper is to evaluate the concept of malvertising through Cortana an artificial intelligence-based assistant introduced by Microsoft in windows 10. Sources of data are websites and other research papers. The major security breaches through malvertising are under consideration in this research paper. By evaluation, malvertising can be considered as one of the most dangerous security threats in digital World.