Reviewerly/exHarmony huggingface dataset:
Пространства Марины Цветаевой

The hallmarks of space in Tsvetaeva’s poetic world are vertical orientation, two-worldness (many-worldness), measurability, and “immensity”, often expressed by asymmetry. Tsvetaeva’s model of the double world is presented both in its pure form and in a multilayer one (the model of “matryoshka” according to Lotman) with a hierarchical vertical correlation of spaces. The vertical sets the plots, stylistics, system of characters, system of time and expectations of the reader. Tsvetaeva is a bright representative of irrational tendencies in art, which manifest themselves against the background of rational ones, through their violation. Thus, The Attempt of a Room (1926) builds on an imaginary effort to present a hexagonal box of a rendezvous, but fails. The last poem I Keep Repeating the First Verse… (1940) is a poetic reaction to the “mistake in counting”: there should be not six but seven souls at the table. In one of her poems, Tsvetaeva calls herself “one who has edited the miracle with numbers”. This formula aphoristically expresses the nature of creativity asfirst intuitive search, and then rational design. The mathematical calculation of the composition of her books is an analogue of the metric-stanzaic “frame” of her lyrics. In the given proportions she often uses a deliberate failure by one unit (for example, in the collection From Two Books she adds one extra poem, which was originally missing in these two books).
Book Genre Prediction

Abstract: The present work aims to classify the genre of the books automatically using the Python programming language. A genre is a subset of art, literature, or music that has a distinct form, substance, and style. In many instances, a book can be classified as belonging to more than one genre. It's difficult to categorize a book or piece of literature as belonging to one genre over another. Many novels end up badly categorized or pushed under the super-genre umbrella of fiction since there is no clear criterion to determine how much of a book belongs to a given genre. Therefore, it's critical to develop a system for categorizing books and determining their relevance to a particular genre. Therefore, the current study tries to solve this challenge by combining various text categorization approaches and models to come up with the best solution
Pengenalan dan Pelatihan Sistem Pengarsipan Elektronik Berbasis Web Untuk Alumni Prodi Ilmu Perpustakaan Fakultas Ilmu Budaya Unilak

This service activity aims to provide introduction and training to Alumni Ilmu Perpustakaan Fakultas Ilmu Budaya Universitas Lancang Kuning, especially those who are already working. A common problem for partners is that they do not have adequate skills in managing Web-based Electronic Archives. The implementation of this service is expected to improve the understanding and skills of Alumni Ilmu Perpustakaan Fakultas Ilmu Budaya Universitas Lancang Kuning on how to manage Web-based electronic archives. The output produced in accordance with this activity plan is in the form of scientific articles. The method of implementing the activity is counseling. Submission of material is carried out by Lecturers who are members of the team proposing online community service activities.
Literature review on Real-time Location-Based Sentiment Analysis on Twitter

Sentiment analysis mainly supports sorting out the polarity and provides valuable information with the use of raw data in social media platforms. Many fields like health, business, and security require real-time data analysis for instant decision-making situations.Since Twitter is considered a popular social media platform to collect data easily, this paper is considering data analysis methods of Twitter data, real-time Twitter data analysis based on geo-location. Twitter data classification and analysis can be done with the use of diverse algorithms and deciding the most appropriate algorithm for data analysis, can be accomplished by implementing and testing these diverse algorithms.This paper is discussing the major description of sentiment analysis, data collection methods, data pre-processing, feature extraction, and sentiment analysis methods related to Twitter data. Real-time data analysis arises as a major method of analyzing the data available online and the real-time Twitter data analysis process is described throughout this paper. Several methods of classifying the polarized Twitter data are discussed within the paper while depicting a proposed method of Twitter data analyzing algorithm. Location-based Twitter data analysis is another crucial aspect of sentiment analyses, that enables data sorting according to geo-location, and this paper describes the way of analyzing Twitter data based on geo-location. Further, a comparison about several sentiment analysis algorithms used by previous researchers has been reported and finally, a conclusion has been provided.
Exploring Teaching Techniques Used In Teaching Reading Comprehension By English Teachers At Madrasah Aliyah Pasangkayu

This research was aimed at finding out the teaching techniques used in teaching reading comprehension by English teachers from four Madrasah Aliyah at Pasangkayu Regency. MAN Pasangkayu, MA DDI Pasangkayu, MA DDI Kasoloang and MA DDI Darul Ulum. This research applied mix method approach. The respondents of this research were 8 English teachers. The instrument for collecting the data was a questionnaire and interview. Quantitative data were collected and analyzed in the first phase of the research and qualitative data were collected in the second phase. The results reveal that the English teachers use several techniques in teaching reading comprehension such as Scanning Technique, Skimming Technique, SQ3R, Speed Reading, Detailed Reading Strategy, and Collaborative Strategic Reading. The result of the interview showed that the teachers tended to use the Scanning-Skimming technique and SQ3R compared to other techniques. According to them, the Scanning-Skimming technique were two techniques that were very effective for students to use when they did English exams, especially reading texts, they find it easier to get information from a reading text. Meanwhile, SQ3R is a technique that is very good for the benefit of reading intensively. The teachers at Madrasah Aliyah Pasangkayu Regency to upgrade in teaching reading are only some of them who have attended seminars/webinars or training from related agencies or schools. As for their efforts in improving their reading teaching skills, only a few of them were creative to learn independently to find references, hold study groups, review journals, and download videos about teaching reading techniques. Every teacher needs to be more creative for the learning process can be successful.
Data architecture on digital educational platforms and data- competence of teachers

The work is aimed at identifying the data architecture and structuring the types of educational data analyzed on various digital educational platforms. The article presents research materials by the method of genetic analysis of labor actions and professional tasks of a teacher, necessary for a competent organization of development based on data. Study 1 studied 25 digital educational platforms for general education from different countries, including 9 Russian (public, private, and corporate). Study 2 included the method of genetic analysis of labor actions and professional tasks of teachers for organizing the development of children based on the analysis of educational data. The results obtained make it possible to say that in the digital educational environment the range of professional tasks is expanding, and the labor actions of the teacher are transformed in the implementation of developmental activities (as a labor function) based on the analysis of educational data.
A method for evaluating the results of the educational process:

The article addresses the problem of evaluating the results of specialists as they graduate from their training. There are difficulties, not only with the decreasing number of students in training courses, but also with inadequate methods for educational management. There is a growing need for managers and subject lecturers to obtain information on the results of specialists’ training and graduation. This article sets out a method for evaluating the results of the educational management using the probability multiplication theorem for dependent events. The study shows that the results of the educational process can - and should - be managed if the results of training and graduation are periodically evaluated. At the same time, the evaluation results are of great value to the university and improve the educational management. They show the scale of the specialists’ training and graduation in relation to their training task and create a data base for subjects enabling appropriate managerial decisions aimed at maximizing approaching the results of the specialists’ graduation to their training task. It is of practical and scientific importance for the permanent staff of vocational educational institutions when developing managerial decisions for qualified specialists’ training, as well as for graduate students and researchers involved in the study of the effectiveness of educational management.
An Efficient and Securable Networked Voting System based on Blockchain

Modern period of trend setting innovation where online framework supports work speed, lessens botches and advances the age of exact outcomes, having manual political decision framework turns into a mishap. An open political decision framework establishes the foundation of a vote based system where the individuals need to choose their state's chief. India as of now utilizes a manual political decision framework, which causes a few sorts of issues. Because of this paper polling form based political race framework, a few issues are looked by voters previously or during races and others are looked by the organization when the democratic. An online framework, which includes strategies like enlistment of voters, vote throwing, vote tallying, and announcing results would comprise a decent answer for supplant current framework and the proposed framework right now be useful for the voters by utilizing any assets like their own framework or masterminded by Government. Additionally, the proposed framework will likewise diminish the hazard for defilement. The framework is proposed subsequent to talking authorities of two offices, the Country Database and Enrollment Authority India (NADRA) and the Political decision Commission of India (ECP). NADRA has an online database of the residents of India, and is giving the Modernized National Personality Cards (CNIC) and furthermore supporting various associations with their online framework. Along these lines, by utilizing NADRA's framework it turns out to be anything but difficult to enroll all voters of the age above 18, and besides to check and verify their information
Peningkatan Kemahiran Berbahasa Indonesia melalui Program Klinik Bahasa UKBI Adaptif

The Indonesian Language Proficiency Test (UKBI) is one of the Indonesian language proficiency tests that aims to measure written and oral proficiency, both by spoken and foreign speech. In its development, UKBI developed into an adaptive UKBI which can display different levels of question difficulty for each examiner, so that UKBI has a variety of questions that are not the same between participants and a different number of questions. The method used in this research is a simple qualitative and quantitative descriptive method with primary data obtained through survey results. The results in this study were that of the 51 participants who took part in the activity, 30 of them took part in the UKBI simulation activity with the lowest UKBI simulation score being 60 and the highest being 100. After attending the language clinic, the participants who were very interested in taking the UKBI test visited 15 people, interested in participating in the UKBI test. opened 16 people, and less interested in opening 2 people or 92%.
Kredibilitas Influencer Dalam Mempromosikan Produk MakeOver Cosmetics Di Kalangan Mahasiswa

Abstract: The credibility of social media-based influencers has become an important factor in consumer decision making. The study aimed of this study was to see how the influencers' credibility in MakeOver Cosmetics products among students was. The research sample was taken as many as 91 student respondents from the Faculty of Communication Sciences, Islamic University of Bandung. The research method used in this study is an explanation that serves to impact the influencer credibility (IC) felt by consumers, using a credibility model of the dimensions of Attractiveness, Expertise, and Trustworthiness. The software used to measure the constructed model in SmartPLS 3.3.2. The results showed that the Composite Reliability on the credibility of the influencers was 0.943 accepted. R. Square in the influencer's credibility to the dimensions studied is attractiveness is 0.737, and Expertise is 0.886 and Trustworthiness is 0.804. So, this dimension can be said that the influencer's credibility is significant. While the Average Variance Extracted (AVE) given by the credibility of the influencer is 0.548 a statement that the construct is accepted. The development of research on the credibility of influencers still has much to be researched in the future.
Pengenalan Cara Mengajar Bahasa Inggris yang Menyenangkan di Masa Covid-19

The fun process of teaching English in the current covid-19 era is really needed to attract students’ interest in learning and restore their psychological prime condition those are depressed having to study from home. Interesting English teaching requires supporting facilities and infrastructure in the implementation process. In the midst of the limitations of schools, teachers and parents in providing these facilities and infrastructure, it does not mean that it is an excuse for teachers not to be able to provide fun learning. By changing the old method (old method), namely learning that focuses on the teacher (teacher centered) to the latest method (direct method), namely learning that focuses on students (students centered) using the CLT (Communicative Language Teaching) approach and is supported by the following techniques: Interesting English learning techniques, along with the use of real media (real models) in each learning process, have changed the old view of English teachers in schools so far. The workshop which was held in August 26, 2021 at Tanjung Pura District, Langkat Regency has created a new spirit for these English teachers to start creating various innovations and creations in the online learning process so that they can create a good and fun English teaching process.
THE ROLE OF YOUTH ORGANIZATIONS IN INCREASING CHILDREN'S READING INTEREST: A CASE STUDY OF OEMAH DOLAN ORGANIZATIONS IN KEDONGDONG VILLAGE, SUSUKAN DISTRICT, CIREBON REGENCYIl

The impact of the modernization era on elementary and Kindergaten children can be seen from the intensity of children playing with gadgets, and the low level of literacy in children. This is the background for the presence of the Oemah Dolan organization. This study aims to identify and describe Oemah Dolan's programs and the role of Oemah Dolan in increasing reading interest in children in Kedongdong Village. This study uses a descriptive-qualitative approach with the analysis technique of Miles and Huberman. The results of this study indicate that Oemah Dolan has several programs, namely: book stalls, reading, fun learning, and creativity week.
Augmented Reality Applications in Teaching and Learning for topic of Current and Voltage Division for Technical and Vocational Education

The combination of technology Augmented Reality (AR) with educational content aims to create new ideas that can improve the effectiveness and attractiveness of teaching and learning for students in real-life scenarios. The use of AR technology can make the process of teaching and learning more enjoyable, in which students' interest in learning can be stimulated. The AR technology has three characteristics. The first feature is that AR technology is a combination of virtual objects with the real world. The second feature is that AR operates in real time and interactively. The last feature is that it has 3 dimensions (3D) for virtual objects. In this study, the ADDIE model includes five phases, namely Analysis, Design, Development, Implementation and Evaluation, which are utilised to develop applications based on AR technology in education for the topic of Current and Voltage Division. To identify the effectiveness of the application of AR technology, a survey using questionnaire was conducted among pre-service teachers to know their perceptions of the development of AR applications namely as Voltrent AR. As this is a quantitative study where questionnaires were distributed to 73 students from the class of Bachelor of Technology with Education (Electric and Electronics) with Honours and Bachelor of Technology with Education (Living Skills) with Honours at Universiti Teknologi Malaysia (UTM) Skudai, Johor. Most respondents gave very positive feedback on the use of AR in education, especially for the topic of Current and Voltage Division. AR is viewed as a medium of instruction that is innovative, interesting and effective. Voltrent AR application development is successfully developed based on the ADDIE model, and the application development of the constructivism theory was applied in this AR application. Thus, the AR application development has reached the desired objective of producing application-based Augmented Reality as a teaching aid.
Human Pose Estimation Using Per-Point Body Region Assignment

In recent years, the task of human pose estimation has become increasingly important, due to the large scale of usage, including VR applications, as well as higher-level tasks, such as human behavior understanding. In this paper, we introduce a novel two-stage deep learning approach named Segmentation-Guided Pose Estimation (SGPE). The pipeline is based on two neural networks working in a sequential fashion, while both models effectively process unorganized point clouds on the input. First, the segmentation network performs a pointwise classification into the corresponding body regions. In the next step, the point cloud with the per-point region assignment, forming the fourth input channel, is passed to the regression network. This way, both local and global features of the point cloud are preserved, helping the model fully maintain the body pose structure. Our strategy achieves competitive results on all of the examined benchmark datasets, and outperforms state-of-the-art methods.
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling

Many supervised machine learning tasks, such as future state prediction in dynamical systems, require precise modeling of a forecast's uncertainty.The Multiple Hypotheses Prediction (MHP) approach addresses this problem by providing several hypotheses that represent possible outcomes.Unfortunately, with the common l2 loss function, these hypotheses do not preserve the data distribution's characteristics.We propose an alternative loss for distribution preserving MHP and review relevant theorems supporting our claims.Furthermore, we empirically show that our approach yields more representative hypotheses on a synthetic and a real-world motion prediction data set.The outputs of the proposed method can directly be used in sampling-based Monte-Carlo methods.
Developing intercultural foreign language communication via case study technology

Profound structural changes in the economy, increasing saturation and awareness of the population, internationalization of various spheres of life lead to the need to create a variety of opportunities for education and self-education of young people in intercultural foreign language communication. In this regard, one of the leading technologies which help to promote intercultural foreign language communication is case study technology. The case-method is based on the acquisition of sets (cases) of text teaching materials and transfer them to students for self-study. The main aim of the research work is to study the effectiveness of case study technology for promoting autonomous learners in intercultural foreign language communication. The author reveals the concept of case study technology in foreign language learning, distinguish four main stages of using case study technology for promoting autonomous learners in foreign language education: preparatory stage, introductory, main stage and final. It is concluded that the use of case study technology for promoting autonomous learners in intercultural communication promotes the development of internal motivation of student to educate and self-educate; the development of creative thinking, activity and autonomous work of students; the consolidation of the knowledge and skills necessary for the formation of self-educational activities; reflection on their self-educational activity. The results and conclusions of the presented paper can be used by teachers and lecturers at the English classes, seminars and in such lecture courses as “Technologies of foreign language teaching in primary schools»”, “Theory of foreign language teaching”.
Robust RDH Technique Using Sorting and IPVO-Based Pairwise PEE for Secure Communication

Nowadays, Reversible Data Hiding (RDH) is used extensively in information sensitive communication domains to protect the integrity of hidden data and the cover medium. However, most of the recently proposed RDH methods lack robustness. Robust RDH methods are required to protect the hidden data from security attacks at the time of communication between the sender and receiver. In this paper, we propose a Robust RDH scheme using IPVO based pairwise embedding. The proposed scheme is designed to prevent unintentional modifications caused to the secret data by JPEG compression. The cover image is decomposed into two planes namely HSB plane and LSB plane. As JPEG compression most likely modifies the LSBs of the cover image during compression, it is best not to hide the secret data into LSB planes. So, the proposed method utilizes a pairwise embedding to embed secret data into HSB plane of the cover image. High fidelity improved pixel value ordering (IPVO) based pairwise embedding ensures that the embedding performance of the proposed method is improved.
Detect Phishing Website by using Machine Learning

Phishing is one of the types of electronic crimes, where the attacker uses what is called social engineering to deceive users of Internet networks and this is done by sending messages via e-mail, phone call or text messages by the attacker who pretends to the victim that he is a real and legitimate company or institution that provides a specific service, And thus luring people to write their personal data in addition to important and sensitive information such as bank accounts, credit cards and passwords used by individuals.Then the attacker simply uses this data and information to obtain the property and accounts of the victim, and on the other hand, the attacker can monitor everything related to the victim during his entry and movement on the sites, that is why we developed a model that detects phishing by using the random forest algorithm.