Reviewerly/exHarmony huggingface dataset:
The Evaluation of web-based and android face-to-face tutorial applications quality using the user acceptance testing (UAT) method

Problems in the learning system at the Universitas Terbuka Basically no only focus against the tutorial in network only, but also on service help study stare advance that is not yet there is a system for monitor to what extent are the activities of the Tutorial Gaze Face (TTM). Studies this aim for measure how far is the quality Gaze Tutorial app Advance Web Based And Android.Methods used in measure quality application is use User Acceptance Testing (UAT) method. of several amount respondent could taken conclusion how far is the quality applications that have been done made in form prototype. After To do testing could taken conclusion that face tutorial app advance have attractive appearance, easy menus understood, content or Theory easy understood and understood, application this can also used as media in tutorial activities
Modelling the Factors Measuring Customer Service Excellence for Mobile Application Technology Usage in Abu Dhabi

In many areas of business, technological innovation is critical. The ability to use technology to transform organisations is now a requirement in all industries. Nonetheless, technological acceptance has a significant impact on overall corporate performance. Mobile applications are becoming more popular all over the world. As a result, the goal of this research is to look into the technology acceptance model in order to improve customer service in mobile applications. A questionnaire survey was used to collect data from mobile users in Abu Dhabi Municipality. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) technique, aided by SmartPLS software, was used to analyse 396 completed questionnaire forms. The study's findings indicate that perceived usefulness, perceived ease of use, and attitude all have a significant impact on the intention to use technology. The role of intention to use as a moderator is also confirmed, as is the moderating effect of user experience. Furthermore, statistical evidence supports the role of user experience as a moderator in the customer satisfactionexperience. The study's findings give marketing managers and academics a much stronger foundation for recommending CSE strategies. As a result, telecom operators must go above and beyond to improve PU, PEOU, and attitude, as well as develop strategies, inorder to achieve a higher level of CSE.
A SYNTACTICAL ANALYSIS IN NON-STANDARD ENGLISH WORD OF MAC MILLER SONG LYRICS

Every human being has at least one language, both spoken and written. The language contains basic or certain rules that form, combine, and express meaning that changes because words in language are combined differently through combinations in syntactic studies so that language has an important role in human life as a means of communication.This is actually the realization of the written examples.The Purpose of this research was to find out the non-standard and standard English words and to find out the tree structure in the Mac Miller song lyrics.Then, the writer choosessongs to analyze because studying songs does not just analyze the metaphorslanguage, word meaning and language style, but also analyze how non-standard English words can be used as standard English words by converting them with several tools such as phonological processes and basic grammar which in the song the English standard has been found the writer analyzessentence structureused in one of the lyrics to a song from Mac Miller's album entitled "Circles".In analyzing the data, the writer uses several appropriate theories with a subject for analyze sentences into each sentence content. This thesis uses a qualitative descriptive method. Steps in taking and the data collection are listening songs on the album "Circles" by Mac Miller, searching the lyrics of the internet, copying the lyrics of the songs to be analyzed, reading and identifying the non-standard English word and converted into standard English word using instrument for standardizing English words and the last make tree structure from the sentence or phrase. Moreover, the result after analyzing the data, the writer finally found fifteen rules in sentence structure and found thirty non-standard English word sentences in the lyrics of the song. Considering the importance of understanding sentence structure, especially in the study of syntax, the writer makes some suggestions, for students from English Department, other researcher who will conduct studies related to topics and the writer hopes that this thesis can be used as a reference or compare how non-standard English with their daily non-standard language and for those who are interested in studying syntax studies. Keywords: Syntactical Analysis, Non- Standard English Words, Mac Miller, and Song Lyric
Developing a computer-assisted writing system to solve phraseological problems for Chinese graduate students' academic writing

This study develops a computer-assisted writing system, consisting of the searching module and the text editing module. The searching module is characterised by part-of-speech (POS) collocation search which retrieves technical and general collocations from a customised corpus of research articles in a specialised field. The text editing module is characterised by next-word prediction which works on lexical bundle lists from COCA. Through the development of these modules and functions, the POS and position of collocations are specified, the word likely to follow a given sequence is predicted, English for technical use and general use are concerned, and the display of the retrieved information is optimised. At present, this system works well in the research field of tubulin. It could be applied to academic writing of other research areas if the customised corpus of that area is built and uploaded.
TTS - VLSP 2021: Development of Smartcall Vietnamese Text-to-Speech

Recent advances in deep learning facilitate the development of end-to-end Vietnamese text-to-speech (TTS) systems with high intelligibility and naturalness in the presence of a clean training corpus. Given a rich source of audio recording data on the Internet, TTS has excellent potential for growth if it can take advantage of this data source. However, the quality of these data is often not sufficient for training TTS systems, e.g., noisy audio. In this paper, we propose an approach that preprocesses noisy found data on the Internet and trains a high-quality TTS model on the processed data. The VLSP-provided training data was thoroughly preprocessed using 1) voice activity detection, 2) automatic speech recognition-based prosodic punctuation insertion, and 3) Spleeter, source separation tool, for separating voice from background music. Moreover, we utilize a state-of-the-art TTS system that takes advantage of the Conditional Variational Autoencoder with the Adversarial Learning model. Our experiment showed that the proposed TTS system trained on the preprocessed data achieved a good result on the provided noisy dataset.
Reading in the life of primary school children aged 9–11

A large number of changes in the reading of children and adolescents impedes the passing on of literary culture from generation to generation, which makes the topic of family reading increasingly important. Today, the reading experience of a child and his future largely depend on reading in the family and the activity of parents who are the main mentors and the first teachers introducing children to reading. The article discusses the practice of family reading. The tradition of family reading dates back to the 18th century—it is also the same time when the first specialized children’s literature appeared. The structure of family reading includes the reading of both poetry and prose, fiction and non-fiction, the exchange of opinions about what has been read, and the formation and transmission of literary tradition and family (home) library. Quite common are families where serious attention is paid to the reading process: parents show interest in reading, reading practices are instilled from early childhood, new books are regularly bought, and what is read becomes the subject of discussion with children. In such families, children read a lot and know where to find information about books. However, there are also families where adults are not interested in reading and do not pass on the literary tradition to their children. In such families, children are more likely to surf the internet, do not visit libraries and do not like to read. A drawing technique and a survey of younger schoolchildren from Moscow and Krasnodar were used to study the opinions of children. The relevance of this article is primarily due to the fact that it shows a direct opinion of children on how they imagine the reading process. With the help of drawings, children were able to express their feelings and position regarding the research question posed.
Ranking of Barriers for the Internet of Things (IoT) Implementation in E-Learning Platform

Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to the digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organizational alignment, instructor, and student support. This paper aims to identify the critical barriers to Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology used to classify interrelationships between barriers for improved understanding and relation between these barriers, and Management Cross Impact Multiplications Applied to Classification analysis use for analysing driving power and dependence power of E-learning barrier.
Instrument Cluster IoT Enclosure Design and Production Implementation in Self Driven Vehicles

MNC’s has introduced a Self-driven two-wheeler in the metropolitan cities, so that vehicle consists of numerous electronics and the major patented is self-control through smartphones. The most important electronic PCB board is embedded in an enclosure. The industry develops the enclosure design and production implementation with the help of Solid works, the 3D enclosure was designed into tow sub-assemblies, one is cover part and another one is the PCB carrier. The material for enclosure was selected as per IPC standards. (PA66 30%GF). The enclosure was also designed as self-locking even without screw. The fasteners (TWIN FAST SCEW) were selected as per the IPC standards. The metal to non-metal torque rate was analyzed and selected as per requirements. The mechanical endurance such as Hardness test and Salt Spray Test were conducted for the selection of screw. The enclosure was produced using Hot injection molding process.
INOVASI PEMBELAJARAN MATEMATIKA MENGGUNAKAN MODEL QUANTUM TEACHING TERHADAP MOTIVASI BELAJAR SISWA KELAS VII DI ERA NEW NORMAL

The purpose of this study was to determine the effect of mathematics learning innovation using the Quantum Teaching model on students' learning motivation in the new normal era. The data used in this study are test and non-test results, where the test instruments in this study are pretest, posttest, and multiple-choice types to measure student learning outcomes. This research uses a quasi-experimental type of research. The results of the study can be concluded that the two classes, both the experimental class and the control class, all experienced an increase from the pretest results to the posttest results. However, the experimental class experienced a significant improvement process with an N-Gain score of 0.7693 in the high category compared to the control class which got an N-Gain score of 0.4803 in the medium category.
Artificial Intelligence and Digital Forensics on Data Governance Breaking Through its Importance to Organizations and its Operations

Forensic Science & Addiction Research Artificial Intelligence and Digital Forensics on Data Governance Breaking Through its Importance to Organizations and its Operations Bruno Bernardo1*, João Barroso2 and Vitor Santos3 1University of Trás-os-Montes e Alto Douro, Vila Real, Portugal 2INESC TEC and University of Trás-os-Montes e Alto Douro, Vila Real, Portugal 3MagIC and NOVA Information Management School, Nova University of Lisbon, Portugal *Corresponding author:Bruno Bernardo, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal Submission: January 04, 2022;Published: January 11, 2022 DOI: 10.31031/FSAR.2022.05.000625 ISSN 2578-0042 Volume5 Issue4
VLSP 2021 - NER Challenge: Named Entity Recognition for Vietnamese

Named entities (NE) are phrases that contain the names of persons, organizations, locations, times, quantities, email, phone number, etc., in a document. Named Entity Recognition (NER) is a fundamental task that is useful in many applications, especially in information extraction and question answering. Shared tasks on NER provides several reference datasets in many languages. In the 2016 and 2018 editions of the VLSP workshop series, reference NER datasets have been published with only three main entity categories: person, organization and location. At the VLSP 2021 workshop, another challenge on NER is organized for dealing with an extended set of 14 main entity types and 26 sub-entity types. This paper describes the published datasets and the evaluated systems in the framework of the VLSP 2021 evaluation campaign.
Software-as-a-Service Programs and Project management: A Case Study on Odoo ERP

The paper aims at presenting the particular way of implementing Odoo ERP (Enterprise Resources Planning) within the Cloud environment, in order to manage the activities involved by a research project. To successfully achieve the objectives of the project - from choosing the research topic to writing the main body of study and disseminating critical information - the Odoo Project module allows the researchers to establish the stages involved in the implementation process, the description of related tasks, the appointment of persons responsible with the procedures of carrying out of the planned activities, the management of tasks in Kanban system, the drawing up of Gantt charts etc. The employment of Odoo ERP in scheduling research activities is highly accessible and easily opens the possibility to connect with other Odoo modules (such as accounting module or e-signature module), thereby saving significant amount of time and efforts related to the analysis of project status data. Moreover, the project progresses can be tracked by using simple devices with an Internet browser and a stable connection, which allow the access to the application via modern Cloud technologies.
RANCANG BANGUN SISTEM PAKAR UNTUK DETEKSI DINI TINGKAT DEPRESI PASCA MELAHIRKAN

Information technology is currently developing very rapidly, one of which is in the health sector. Current computer/machine technology, which is equipped with various capabilities, is able to recognize the human condition, one of which is related to human psychological health. Psychological health often appears in post-natal women; not a few women experience stress and even depression, some women manage to adjust well, but others fail to adjust and experience psychological disorders with various symptoms. Technological innovations that are currently able to carry out early detection of various diseases or psychological disorders in humans, one of which uses an expert system designed from expert knowledge to help diagnose early symptoms of a psychological disorder or a disease. At the data collection stage, interviews, observations, and documents related to psychological disorders that occur in postpartum women will be carried out, and this activity will involve experts, in this case, the midwife. Psychological disorders that often occur in postpartum women are divided into three based on the level of disturbance, and the first is Post Partum Blues, Post Partum Depression, and Post Partum Psychosis. Data on symptoms of psychological disorders were obtained from the results of data collection. The data obtained in the form of symptoms of psychological disorders that are often encountered in the field, in this case, the practice of midwives, the data will be processed so that manual trials can be carried out on the methods used. Application development is carried out using the System Development Life Cycle (SDLC) model or the system development life cycle. The SDLC model that will be used is the waterfall method where this method is systematic sequential in building software. The general stages in the waterfall method are requirements analysis, system design, system implementation, and the last is system testing. The implementation of this expert system application will use the Certainty Factor (CF) method.
THE ROLE OF ACMEOLOGICAL APPROACH IN THE PROFESSIONAL TRAINING OF FUTURE FOREIGN LANGUAGES TEACHERS IN INSTITUTIONS OF HIGHER EDUCATION

The article analyzes the role of the acmeological approach in the future foreign language teacher training by investigating the main aspects that are as follows: study of the future FL teachers’ personal qualities and abilities, methods of raising their motivation and developing learner autonomy, opportunities for carrying out scientific research and studying the level of higher education institutions readiness to improve the quality of education. It was determined that the development of personal qualities and abilities, as well as the formation of professional competencies, is carried out as a consequence of the acmeological approach, which is integrated into the content of the educational program disciplines compiled for future teachers of foreign languages (English and German). The impact of various motivation types on the acmeological development of future foreign language teachers is clarified and intrinsic motivation is defined as the one that has the greatest stimulus to study. An overview of the possibilities for involving higher education students in research activities was carried out, as a result of which it was recommended to involve future teachers of foreign languages more widely in the realization of their scientific potential. A review of the readiness level of higher education institutions to improve the quality of teacher training has shown that there are positive changes that contribute to the effective process of education, but some recommendations have been identified that will intensively contribute to this process.&#x0D; Keywords: acmeological approach; future foreign languages teacher training; German language; English language; educational program; institutions of higher education; professional competencies; the content of education; motivation; self-development.
Meningkatkan Kemampuan Berhitung Permulaan Anak Usia Dini melalui Media Abakus Kelompok B TK PGRI 2 Mataram

The goal to be achieved in this study is to improve early childhood numeracy skills through Media Abakus Group B TK PGRI 2 Mataram in the 2021/2022 school year. The subjects of this study were 19 students of group B TK PGRI 2 Mataram, consisting of 8 female students and 11 male students. This research uses action research in two cycles consisting of four stages, namely: design, activity and observation, reflection. From all the action research activities of group B TK PGRI 2 Mataram students, namely being able to understand the ability to count addition and subtraction carried out in three cycles, it can be concluded that the learning outcomes of students in the BTK PGRI 2 Mataram group in the 2021/2022 school year, using the Abakus media can improved by the final result of the study is the average value of the class before the action is 63.79 or classical completeness 52.63%, becoming 69.16 or classical completeness 68.42% in the first cycle, increasing to an average of 72.00 or 78, 95% in the second cycle and increased to a test average of 82.53 or 100% in the third cycle.
APLIKASI PEMBELAJARAN SLOKA DALAM KITAB SUCI BHAGAVAD GITA BERBASIS ANDROID

Bhagavad Gita Devata Song, is one of the Vedas. He often refers to it as the fifth veda, the Pancamo Veda. It is not clear why it was named so, because when viewed from the aspect of the codification of the Hindu religious scriptures called the Vedas, it is traditionally called Vedic chess. Structurally the content of the Bhagavad-gita is more focused and is a collection of the previous Vedas. This is one step in the development of the history of thinking in Hinduism. The Bhagavad-gita appears as part of the Mahabharata which consists of 18 parvas, and 700 slokas. Learning the Bhagavad Gita is a necessity that must be carried out by Hindu students. Every day, even every time students should take their time to learn to read the Bhagavad Gita. A good learning process is a learning process that can make it easier for students to understand the Bhagavad Gita material being taught. In this study, the information provided by the application includes an understanding of the Bhagavad Gita, the contents of the verse from the Bhagavad Gita, assistance on how to read the sloka properly and correctly according to the existing recommendations. This system provides interactive information in the form based on videos on how to recite the verse Bhagavad Gita, as well as the contents of the verse and its translation.
Wave Surface Identification Based on Stereo Vision and Wave Theory: an Initial Attempt

Wave height is the most basic element of wave information, and accurate measurement of wave height plays a crucial role in both understanding wave theory and verifying numerical models. In this paper, an improved optical measurement system was proposed based on the principle of binocular stereo vision, which breaks through the limitations of traditional measurement equipment such as wave gauges and other single-point measurements, and improves the commonly used optical measurement method that relies solely on images by involving water wave theory into the data post-processing procedure. By identifying and reconstructing the unidirectional regular wave surface in a towing tank and comparing the results with the wave gauges and theoretical incoming wave parameters for validation, the results show that the measurement system has an error of about 1% in the measurement of a wide area. In the end of the paper, a preliminary attempt is made on the irregular wave surface identification.
Mikhail Alexandrovich Demin: touches to the portrait of a famous scientist and a multifaceted person

The article dedicated to Professor of the Altai State Pedagogical University M. A. Demin. For the first time, the text of the interview taken by the author from the hero of the day on the eve of his 70-th birthday are given.