Reviewerly/exHarmony huggingface dataset:
Instagram As Medium of Promoting English Speaking Skill: English Edupreneurship

Public speaking has become an integral part of many professions and is at the center of career development opportunities. Therefore, the change in the education system from offline to online has led to new ideas in the implementation of public speaking learning, namely by using Instagram as a learning medium for collecting assignments intended to introduce or sell English language skills which are usually called Edupreneurship. That way, it is hoped that not only carry out learning and collect assignments but also something is obtained. However, learning still prioritizes output. Therefore, in this study, we refer to the personal branding theory. The purpose of this study is to determine how effective the use of Instagram is as a medium to promote English speaking skills, to find out the followers' responses regarding the skills possessed by English students, and also what was gained from promoting English speaking skills. The subjects in this study were students in the 5th semester. The number of respondents was 25 students. This research was conducted using data collection methods through Google forms. The results showed that Instagram provided effects and benefits to students, most of them stated that: (1) Students felt more confident in speaking English, (2) Students felt an improvement in their abilities, (3) Students felt more enthusiastic about positive comments and motivated by negative comments, (4) Students feel that Instagram is the right medium for promoting English speaking skills, (5) Students get input in the form of work.
Transcending the Philippine Educational Culturethrough Virtual andAugmented Reality with the Integration of the Learning ManagementSystems

Amidst the current pandemic situation right now, the Department of Education and the Commission on Higher Education are facing a lot of challenges that will take place this coming opening of classes, and part of their initiative is to adopt the mode of flexible learning. In the case of other Higher Education and other educational sectors which caters topractical and situation cases either scientific or technical approaches in facing the real-time situation. The Researcher is propos-ing a new alternative flexible learning that will ease up the situations of the current pandemic in all education levels, which is the integration of Virtual Reality, of AR learning content as part of the educational authoring tools, a web-based platform for the development of Augmented content, the distribution of which is accomplished through standardized Learning Management Systems (LMS) using SCORM packages library. Furthermore, a collaborative framework solves the problem of standard integration of Augmented and Virtual Reality applications in education offering a distributed framework which is the Learning Management System platform, (Barbadillo, Barnera, Goñi, &amp; Sánchez, 2014). Upon the implementation of this interactive and immersive technology platforms, higher-order thinking or critical thinking skills will develop further.
PROJECT TECHNOLOGY AS A MEANS OF TRAINING FUTURE SPECIALISTS

The pedagogical activity of the teacher in its essence is a scientific search, creative activity, has a pronounced research character. Today the project method is considered as one of the promising teaching methods because it creates conditions for creative self-realization of the participants of the educational process, increases motivation for acquiring knowledge, promotes the development of their intellectual abilities. The project activity is aimed at developing students' creative abilities and abilities, their independence, striving for an ideal perspective transformation of the world through creative actions and operations in the process of creating a specific product - the project of the ideal and the real. The method of projects is the technology of organization of educational situations aimed at solving problems, the technology of support of students' independent activity for solving problems, which involve presentation of results in the form of a specific product of activity. Given the benefits of the project method, we can assume that its use in the learning process will have a positive impact on the formation of professional culture in future professionals. The work on the project has an innovative character, requires students to apply new knowledge, based on previously digested material; develops the ability to act and make decisions and resolve the conflicts; forms the desire and ability to learn independently.
Framework for Generating Configurable SAT Solvers

The state-of-the-art SAT solvers usually share the same core techniques, for instance: the watched literals structure, conflict clause recording and non-chronological backtracking. Nevertheless, they might differ in the elimination of learnt clauses, as well as in the decision heuristic. This article presents a framework for generating configurable SAT solvers. The proposed framework is composed of the following components: a Base SAT Solver, a Perl Preprocessor, XML files (Solver Description and Heuristics Description files) to describe each heuristic as well as the set of heuristics that the generated solver uses. This solvers may use several techniques and heuristics such as those implemented in BerkMin, and in Equivalence Checking of Dissimilar Circuits, and also in Minisat. In order to demonstrate the effectiveness of the proposed framework, this article also presents three distinct SAT solver instances generated by the framework to address a complex and challenging industry problem: the Combinational Equivalence Checking problem (CEC).The first instance is a SAT solver that uses BerkMin and Dissimilar Circuits core techniques except the learnt clause elimination heuristic that has been adapted from Minisat; the second is another solver that combines BerkMin and Minisat decision heuristics at run-time; and the third is yet another SAT solver that changes the database reducing heuristic at run-time. The experiments demonstrate that the first SAT solver generated is a faster solver than state-of-the-art SAT solver BerkMin for several instances as well as for Minisat in almost every instance.
Composizione-univerbazione? Le oscillazioni di grafia nei produttivi composti italiani a schema (N) VN sul materiale linguistico tratto da La Gazzetta dello Sport negli anni 2016—2020

Word-formation and compounding in Italian present many interesting challenges (classification of compounds, its interpretation and types of semantic relationship that may hold between the compound’s elements). This article attempts to examine a different one — the orthography of one productive compounding pattern in present-day Italian, that is Verb + Noun compounds. Various accounts of Verb + Noun ortography are reviewed, with special focus on the status of hyphenated words. In light of this data, the author focuces also on the problem of inclusion of compounds as multi-word units by dictionaries. The aim of this research is to contrast theoretical prescriptions with some data samples of Italian (Noun) Verb + Noun compounds drawn from La Gazzetta dello Sport (2016—2020). With this analysis the author wants to examine more in detail whether the use reflects what Italian grammarians claim about the Verb + Noun compounds ortography rules, because in various researches conducted in this field that aspect has often been neglected.
COMBINATION OF EMOJI AND TEXT IN MUSICIANS’ TWITTER POSTS

&lt;p&gt;ABSTRACT&lt;br /&gt;This research aims to understand the status relation and the way the text and emoji interact in musicians’ twitter posts. This research focuses on the musicians’ twitter posts containing promotion, which also include emoji and text. This research is in a form of a descriptive qualitative which uses the multimodality theory through the generalized image-text relation of Radan Martinec and Andrew Salway. Findings shows that the musicians tend to position the emoji subordinately to text. In terms of logico-semantic relation, the extension relation occurs more than the exemplification relation and enhancement relation. The emoji mostly provides additional information, which cannot be transferred with the text, such as expression and feeling. It is also used to symbolize the event they promote in the post, such as guitar emoji () in a concert promotion. The religious musicians tend to use emoji to provide information about themselves, such as feeling and expression. While, the rock musicians use the emoji more to put information about the event, such as the place and how many days left until the event begins.&lt;/p&gt;
Sequential Model for Mapping Compound Emotions in Indonesian Sentences

This research proposes mapping Indonesian sentences with single and multiple structures into emotion classes based on a multi-label classification process. The result of this research can apply in various fields, including the development of facial expressions in virtual character animation. Applications in other fields are facial expression analysis, human-computer interaction systems, and other virtual facial character system applications. In previous research, the classification process used for emotion mapping was usually based only on the frequency of occurrence of adjectives. The resulting emotion classes are less representative of sentence semantics. In this research, the proposed sequential model can take into account the semantics of the sentence so that the results of the classification process are more natural and representative of the semantics of the sentence. The method used for the emotion mapping process is multi-label text classification with continuous values between 0-1. This research produces the tolerant-method that utilizes the error value to deliver accuracy in the model evaluation process. The tolerant-method converts the predicted-label, which has an error value less than or equal to the error-tolerant value, to the actual-label for better accuracy. The model used in the classification process is a sequential model, including one-dimensional Convolution Neural Networks (CNN) and bidirectional Long Short-Term Memory (LSTM). The CNN model generates feature maps of each input in a partial way. Meanwhile, bidirectional LSTM captures information from input data in two directions. Experiments were performed using test data on Indonesian sentences. Based on the experimental results, bidirectional LSTM can produce an accuracy of 91% in the 8: 2 data portion and error-tolerant of 0.09.Keywords : Sequential Model, Mapping Compound Emotions, Sentence Semantics, Indonesian Sentences
Analysis of the detailed factors affecting the subtitle translation

In recent years, as the cross-cultural exchanges between China and other countries have become more frequent, more and more English film and television works have flooded into the Chinese market, attracting the attention of many audiences. In order to enable Chinese audiences to better appreciate these film and television works, high-quality and high-level subtitle translation is indispensable. Since China started late in film and television sector, there are still many immature places in the research on subtitle translation. This article aims to analyze several classic English film and television works, summarize, and study the detailed factors that affect subtitle translation.
THEATRE ACTORS PROFESSIONAL TRAINING IN UKRAINE AND EUROPE: TERMINOLOGY ANALISYS

The article is dedicated to the analysis of the «professional training of future actors» concept, its components and characteristics. The author made an analytical review of scientific works of domestic researchers on the problem of professional training in general and professional training of future actors in particular. The author determined that the professional education of theatrical artists as well as general professional education includes stages of pre-professional training (acquisition of primary professional skills), primary professional training (professional education), retraining (professional training
Design of Microcontroller Based Fire Detector with Output Warning SMS Information and Automatic Extinguisher

Conflagration is an unpredictable tragedy. It may occur whether in the woodland areas or in the residential areas. Typically, it would only be recognized if indeed the flames spread and the smoke intensified. This study aims to detect fires using the MQ-2 smoke sensor, DS18b20 temperature sensor, and fire sensor. Using Arduino Uno as the controller, this system’s output is in the form of an alarm buzzer, Short Message Service (SMS) information using SIM800L, and an automatic fire pump. This system operates to detect the temperature shifts, the smoke concentration and the existence of a fire point which triggers an alarm in the form of a siren if two out of the three sensors are activated. It, then, sends information by Short Message Service (SMS) and automatically triggers the pump as the result. The fire sensor can detect hotspots with a maximum distance of 80 cm and the DS18b20 temperature sensor has an average reading error of 0.27 ° C with a maximum reading error of 0.5 ° C. The MQ-2 smoke sensor can detect smoke where the change in smoke concentration is directly proportional to the sensor output voltage. There are three conditions to determine fire conditions, namely the temperature sensor reads more than equal to 55 ° C and the fire sensor is active, or the temperature sensor reads more than equal to 55 ° C and the smoke sensor reads more than equal to 1000 ppm, or the fire sensor is active and smoke sensor reads greater than equal to 1000 ppm.
DISCOBLOG UNTUK MENINGKATKAN KETERAMPILAN KOLABORASI DAN PRESTASI BELAJAR EKONOMI BISNIS SISWA KELAS X AKL 2 SMK N 1 SUKOHARJO

This study aims to improve students’ collaboration skills and learning achievement of Business Economics subject through the implementation of a blog ‐ based Discovery Learning ( DiscoBlog ). The subject of this Classroom Action Research were 31 students of X AKL 2 class of SMK N 1 Sukoharjo in the even semester of the academic year 2019/2020. The data was collected using observation and tests. The observation was used to find out the studen ts’ collaboration skills in applying DiscoBlog through the observation sheet. The test was used to obtain the data about students’ learning achievement of Business Economics subject through 25 multiple choice ‐ type questions. The data were analyzed by using descriptive quantitative through a mean score. The results revealed that there was an improvement in students’ collaboration skills in applying DiscoBlog . It can be seen by the increase of collaboration skills score from 63,44 in pre ‐ cycle to 83,33. Besid es, there was an improvement in students’ learning achievement of Business Economics subject. The mean score showed a rise from 69,10 in pre ‐ cycle with the learning completion 54,84% to 80,97 with the learning completion 93,55%. Teachers might be able to a pply these results to improve the learning quality of Business Economics subject.
BLACKBOARD APPLICATION TO PROMOTE STUDENTS’ WRITING SKILL AT SENIOR HIGH SCHOOL IN PALEMBANG

The purpose of this study was to improve the writing skills of XI grade high school students in Palembang. Researchers used a quasi method involving two groups of high school students in Palembang (experimental group and control group). The results of the study were (1) the experimental group pretest and the control group found that the experimental group got the lowest score of 21 and the highest was 63, while the control group got the lowest score of 23 and the highest score was 70, (2) the posttest of the experimental group and the Control Group, the results obtained were that the experimental group was able to obtain a mean value greater than the mean value of the control group. (3) Paired t-test; The results of the Pretest-Posttest Experimental Group showed that there was a very significant increase that occurred in the experimental group as a result of the implementation of LMS in the experimental group students' writing learning, the results of the Independent t-Test were obtained that the mean value of the experimental group was greater than the mean value of the control group, based on the results independent test analysis, it was found that the sig. (two-tailed) which is 0.000 with t-obtained 14,433. This can be interpreted that there is a positive influence on the application of LMS-based learning methods for the writing ability of high school students. Then, it can be seen that the F test value is 0.379 with sig. 0.539.
Implementasi Modifikasi Kompresi Run-Length Encoding pada Steganografi

RLE is one of the methods to compress data, however it has disadvantages that the compressed data may become twice larger as the original size. Therefore, in this research RLE will be modified to solve the problem. In the experiment we tested 3 file format i.e. JPG, PNG and BMP. The testing on JPG and PNG shows that conventional RLE method is not able to compress all images because it obtained negative compression ratio with an average compression ratio about -98,2%, Meanwhile the compression with RLE modification shows that the all image successfully compress with an average compression ratio about 0,17%. The testing on BMP shows the conventional RLE method successfully compress 5 files out of 11 tested images with average compression ratio about -34,7%, Meanwhile the compression with modified RLE successfully compress all tested images with average compression ratio about 18,8 %.
IMPROVED PITOT – PRANDTL TUBE USED TO MEASURE AIR FLOW PRESSURE

The article presents the study results on improving the Pitot tube for the MMN-240(5)-1.0 micromanometer used to measure air flow pressure and velocity. The design and operation principle of the improved tube are described. For the analysis the PAT no. 016 and DMTs-01.M units employed the study tube to measure air flow pressure and velocity. The operation of the MMN-240(5)-1.0 micromanometer fitted with the improved tube was examined and certificate no. 170 (dated 03.15.2017) was issued by the State Standard agency of Uzbekistan «Uzhydrometcenter».
Analysis the Implementation of Communicative Language Teaching and Classroom Interaction in the Effort to Increase Learners’ Speaking Skills

Communicative language teaching (CLT) is a set of principles about the goals of language teaching, how learners learn a language, the kinds of classroom activities that best facilitate learning, and the roles of teachers and learners in the classroom (Richard, 2006:2). Classroom interaction occurs in the process of applying CLT which requires the participation of both learners and teacher. The study aims at finding out how CLT and classroom interaction implemented collaboratively in the effort to increase learners’ speaking skill at private senior high schools in Ruteng, Flores. It’s mixed method research combining the use of descriptive quantitative and qualitative study design with phenomenological approach. For the purpose of quantitative study, it’s chosen 123 students by using cluster random sampling, meanwhile for the purpose of qualitative data, it’s chosen 12 students and three English teachers by using purposive sampling. The research result showed that CLT characteristics (82=66.7%) and teacher’s role (98=79.7%) were mostly categorized as high level of CLT implementation. Meanwhile, material, media and learners’ role were mostly categorized as medium level. English teachers always involve their students in the productive activities. However, they mostly used book or hand out as the media to deliver materials. Integrating technology into classroom, using games as one of method to cheer up the students boredom hardly ever undertaken. Regarding the implementation of classroom interaction; initiation was mostly in the category of low level (76=61.8%). Students mostly do the activities of learning English designed by teacher. They are not engaged with learning autonomy that leads them to have self learning habit. Consequently, students are only able to accomplish the simple tasks
Automatic Induction of FrameNet Lexical Units in Italian

The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntactic and semantic word relationships.In this paper we present several extensions that improve both the quality of the vectors and the training speed.By subsampling of the frequent words we obtain significant speedup and also learn more regular word representations.We also describe a simple alternative to the hierarchical softmax called negative sampling.An inherent limitation of word representations is their indifference to word order and their inability to represent idiomatic phrases.For example, the meanings of "Canada" and "Air" cannot be easily combined to obtain "Air Canada".Motivated by this example, we present a simple method for finding phrases in text, and show that learning good vector representations for millions of phrases is possible.
Analysis of Influencing Factors of College Students’ English Learning

Constructing a virtual three-dimensional teaching environment through virtual reality technology to provide users with a naturally acquired English learning environment is an innovative way to improve the comprehensive application ability of English effectively. This research mainly focuses on the impact of virtual reality on college students’ English learning. Based on the in-depth study of English teaching theory, the article explores the application of VR technology that is compatible with it. According to the English learning needs of contemporary college students, the application research of VR English learning. This research surveyed college students in the early stage to extract English learning factors. On this basis, simplify the definition of simplified keywords, and then use AHP to conduct inductive analysis to obtain the weights and determine the factors of college students in learning English. Through the analysis and comparison of the Fang AHP method, it can be seen that when students use English learning products, the four factors are learning interest, learning motivation, learning method, and learning environment. Besides, it is found that the senior grades during the interview. The students’ needs for language learning are greater than those of lower rates. This research hopes to study the factors of college students in learning English, and provide reference value and significance for the future development of related application products.
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition

Motion recognition is one of the basic cognitive capabilities of many life forms, however, detecting and understanding motion in text is not a trivial task.In addition, identifying motion entities in natural language is not only challenging but also beneficial for a better natural language understanding.In this paper, we present a Motion Entity Tagging (MET) model to identify entities in motion in a text using the Literal-Motion-in-Text (LiMiT) dataset for training and evaluating the model.Then we propose a new method to split clauses and phrases from complex and long motion sentences to improve the performance of our MET model.We also present results showing that motion features, in particular, entity in motion benefits the Named-Entity Recognition (NER) task.Finally, we present an analysis for the special co-occurrence relation between the person category in NER and animate entities in motion, which significantly improves the classification performance for the person category in NER.