Reviewerly/exHarmony huggingface dataset:
COMMUNICATIVE COMPETENCE OF FUTURE FOREIGN LANGUAGE TEACHERS IN UKRAINIAN HIGHER EDUCATION INSTITUTIONS: THEORY AND PRACTIСE

The article focuses on communicative competence as the main basis of speaking activity and English teachers' professional training.This research outlines the findings from the survey, conducted among the students of the Institute of Foreign Languages, Drohobych Ivan Franko State Pedagogical University.The results of this survey show that a very large majority of the future teachers don't have developed their communication skills.The study describes different theoretical and practical approaches of developing the English teachers' communicative competence.The concept of 'competence' in pedagogical, psychological and methodological literature has been studied in detail.Different interpretations of this notion have been given by scholars in dictionaries and reference literature.We should understand 'competence' as a person's ability to use knowledge and skills in practical activity.The concept of 'communicativity' is understood as means of sharing information through communication.Much attention in the article has been paid to learning technologies to help future English teachers to develop their communicative competence and their language proficiency.Sractical recommendations have been given, which explain how to improve four basic skills of language learning: listening, speaking, reading and writing at English classes.It has been proved that work in pairs or in small groups is the most appropriate to involve all students in speaking and writing activities.Innovations, especially interactive learning technologies, are used to develop future teachers' speaking skills.They have useful characteristics of new teaching approaches and can be implemented in every classroom.This research has shown that the communicative competence of future foreign language teachers primarily includes the ability to carry out speaking activities.Its main aim is to form the ability to communicate on any suggested topic.To encourage 'comprehensible' students' speech acts and to discourage their spontaneous, unprepared speaking teachers can apply the 'technique of reverse action'.
Understanding the Big Mind. Does the GDPR Bridge the Human-Machine Intelligibility Gap?

The article aims to highlight the main legal challenge posed by the increasing implementation of algorithmic credit scoring models, namely the right to a “meaningful information about the logic involved” in solely automated decisions, as enshrined in Article 22 of the General Data Protection Regulation. Following a brief overview of the relevant computer science features of Big Data and Machine Learning applications, the analysis proceeds by first maintaining the existence of a right to an explanation, then discussing: (i) the transparency fallacy of ML systems; (ii) the possible clash with Trade Secret and Copyright; and (iii) possible legal strategies to ensure effective and useful intelligibility of automated decision-making processes. The ultimate objective is to raise public interest in the subtly spreading privacy threats posed by the use of artificial intelligence software underpinned by Big Data streamflow of personal information to take decisions that significantly affect the legal sphere of data subjects.
RECENT PROGRESSES ON DEEP LEARNING FOR SPEECH RECOGNITION

We discuss two important areas in deep learning based automatic speech recognition (ASR) where significant research attention has been given recently: end-to-end (E2E) modeling and robust ASR. E2E modeling aims at simplifying the modeling pipeline and reducing the dependency on domain knowledge by introducing sequence-to-sequence translation models. These models usually optimize the ASR objectives end-to-end with few assumptions, and can potentially improve the ASR performance when abundant training data is available. Robustness is critical to, but is still less than desired in, practical ASR systems. Many new attempts, such as teacher-student learning, adversarial training, improved speech separation and enhancement, have been made to improve the systems’ robustness. We summarize the recent progresses in these two areas with a focus on the successful technologies proposed and the insights behind them. We also discuss possible research directions.
The Application and Effective Use of MABL (Mobile-Assisted Blended Learning) in University English Classes

Mobile and blended learning allow learners to overcome the limits of time and space, enabling them to learn anytime, anywhere. However, they appear not to be used appropriately for teaching and learning in English language classes. This study explores the current situation and students’ perspectives and preferences of using mobile learning, blended learning and Mobile-Assisted Blended Learning (MABL) in Korea. The subjects for the study are 157 university students who have experiences of using mobile apps. Data collection instruments include the questionnaire and interview. The major findings were as follows. First, 48.1, 52.9, and 21.5 percent of the students have used mobile apps, SNS, and blended learning to learn English. Second, most of the students had positive perspectives of using MABL for English education. The students were satisfied with MABL activities (89.1%) and its quality (90.3%), and thought it useful (88.4%) and effective (90.4%) in learning English. Third, the students preferred student-teacher interaction over student-app and student-student interactions for MABL interaction. A proper model and some solutions for MABL are recommended. More surveys from different regions and the true experiment using MABL with the larger sample size of the students are suggested for further research.
THE ORGANIZATION AND THE ANALYSIS OF THE RESEARCH RESULTS OF PREPARATION OF FUTURE LECTURERS OF PEDAGOGICAL DISCIPLINES TO PROFESSIONAL INTERACTION BY MEANS OF INTERACTIVE LEARNING TECHNOLOGIES

The article has shown the results of experimental research of formation of readiness of future teachers of pedagogical disciplines to professional interaction by means of interactive technologies. Also it has Illuminated the logic of experimental research during 2016-2019 years in four stages: theoretical, summative, formative, productive and analytical. At the theoretical stage we have established the relevance of the research problem, defined the purpose, object, subject, research tasks. At the summative stage, the author has developed diagnostic tools to determine the levels of readiness of future teachers of pedagogical disciplines to professional interaction. The main purpose of the formative stage was the implementation of certain pedagogical conditions, such as: the motivation of future teachers of pedagogical disciplines to the interactive communication in the educational process; creation of professional and interactive environment based on the implementation of the special course "Professional interaction in the educational process of higher educational establishments"; the organization of students' reflexive activity for self-examination of readiness to professional interaction. The author has specified the features of the formation of the control and experimental groups, the observance of which guaranteed equal conditions of admission of future teachers of pedagogical disciplines in the experiment. Such factors are identified: digital indicators of levels of development of all components and overall readiness of future teachers of pedagogical disciplines in professional interactions, and almost the same quantitative composition in both categories. At the analytical stage we have announced that to prove the validity of the obtained results and the reliability of the experimental research we have used statistical methods of processing the factual material and digital pedagogical experiment using the Fisher criterion.
Video Blog as a Communication Tool for Mutual Rapprochement of Foreign and Local Students in the Context of the Implementation of Soft Power with Mutual Effect

The work was implemented in the frames of the project of the Russian Foundation for Basic Research and supported by the grant № 19-011-00471 РФФИ.
Multi-Source Transfer Learning Based on Inductive Knowledge-Leveraged for Medical Datasets

Transfer learning changes the limitation of the same probability distribution among domains. There are many innovative ideas of those models which are fully used the information and the knowledge from different domains. Additional knowledge by transferring learning is beneficial to improve the learning ability in target tasks. However, most multiple source domain transfer learning algorithms are developed for the specified model. The existing transfer TGHRR algorithm is suitable to one source only. Given this problem, a new multiple source transfer learning algorithm integrated with the TGHRR and the inductive knowledge of multiple domains (MS-TGHRR in brevity) is proposed. Furthermore, MS-TGHRR algorithm has been evaluated by experiments on medical datasets for classification task. Extensive experiments demonstrate the classification accuracies trained by the newly designed MS-TGHRR algorithm over the existing multiple source transfer learning algorithms.
CONSER: The Very Model of a Modern Cooperative Program

The CONSER Program is the oldest component of the Program for Cooperative Cataloging (PCC) and many elements that made CONSER a success were adopted by the PCC over the past twenty-five years. This article describes how CONSER's evolution over the years in the areas of membership, leadership, standards, training and documentation influenced the development of the PCC.
PSYCHOLOGICAL AND PEDAGOGICAL SUPPORT OF THE FAMILY WITH A CHILD WITH DEVELOPMENTAL DISABILITIES

The article presents material that reveals the theoretical and methodological foundations and the model of psychological and pedagogical support of a family raising a child with developmental disabilities. When developing the model, the rehabilitation potential of the family was taken into account and, in connection with this, the content of the selected stages was justified, tasks and the result of implementation were determined.
Vilification, vigilantism and violence

The focus of this chapter is on the growth of 'anti-crime' Facebook groups in Australia. Specifically, we focus on the ways in which community justice and vigilantism are exercised through social media in the wider context of the racialized criminalization of Aboriginal and Torres Strait Islander Australians and, increasingly, other minority groups. We build on earlier work, drawing on a number of anti-crime Facebook pages to examine the ways social media is used to produce and reproduce a racialized narrative of crime. Our analysis finds that these Facebook groups have the effect of legitimating racial vilification, vigilantism and violence against racialized 'others' and that the current regulation of online racism and racial vilification appears to be profoundly inadequate for addressing these concerns. While there are examples of direct links between Facebook groups and incidence of violence, at a broader level, it is the constant reinforcement of an environment of racist violence that is most troubling.
SIMULASI PERANCANGAN MODEL SKEMA ANTRIAN PADA JARINGAN WAN UNTUK PENINGKATAN LAYANAN KINERJA MULTIMEDIA

This research implements several queuing scenarios, such as FIFO (First in First out), PQ (Priority Queuing) and WFQ (Weighted Fair Queuing) on routers connected to WAN networks.Simulations are carried out using OPNET Modeler 14.5 with a WAN network topology that connects the Data Center with several different city users or clients, for QoS parameters such as packet loss, delay, and jitter in multimedia services such as FTP, video, and VoIP.The reference of QoS standard is the standard issued by ETSI (European Telecommunications Standards Institute) and ITU (International Telecommunication Union).The use of queuing scheme is also effective for reducing the value of delay and jitter for video and VoIP services, as proven in the graph that looks down from the beginning to the end.The WFQ queue scheme overall has the best QoS value, which means it provides weight with 50% on the video, 40% on the VoIP, and 10% on FTP proved effective for the design of topology and configuration in these research.Results all of queuing scheme such as FIFO, PQ, and WFQ queues generally satisfy of the QoS standards issued by ETSI and ITU, but delays in VoIP services have more value than the preferred standards but still far from the limit standards.
Liquid speed: A micro-burst fee for low-latency exchanges

A micro-burst fee on liquidity-taking orders reduces costs associated with latency arbitrage,while providing higher revenue for exchanges versus co-location subscriptions. The fee surges during activity bursts, as high-frequency traders (HFTs) simultaneously race to market. A higher fee limits burst intensity, which reduces adverse selection and narrows spreads. Unlike co-location fees, micro-burst fees scale with trading activity and allow exchanges to extract higher revenues from HFTs. To prevent exchanges from competing profits away, and provide long-run adoption incentives, a regulator needs to impose a (relatively slack) cap on micro-burst fees. A calibration exercise suggests that a micro-burst fee as low as 7.8 basis points per share could improve liquidity while generating higher exchange revenues than co-location subscription fees.If exchanges set the micro-burst fee at the RegNMS maximum cap of 30 basis points per share,our calibration suggests that liquidity would improve by 75%.
The E-Commerce Sales Application of Brick

Batara is a company engaged in the production and sale of bricks.  The high quality makes Batara Partner has many customers. The e-commerce application will greatly help Batara partner to add more customers. Where the purpose of this research itself is to build e-commerce applications that can provide information both for the company and the customers themselves. The methodology used to design this system was the RUP methodology, which is an iterative, architecture-centric, and used case driven software development approach. With the construction of this system can expand sales promotions and facilitate customers who are outside the city to make transactions easily.
Can we rely on machine learning to reveal short term precursors of volcanic activity on Mt. Etna?

Volcanic eruptions are usually not easily predictable and this poses a significant hazard not only for exposures to the local population but due to possible presence of tephra also for airline traffic. The significant investments of the last years in new monitoring techniques and networks have improved our capabilities to sense volcano health, but the path to automatically recognize signs of potentially hazardous unrest is still long. On the other hand, machine learning is currently living a period of tumultuous growth and it is possible to find its applications practically in all the contexts where there is an overflow of data to be interpreted. Our aim is to exploit the capability of some established algorithms in machine learning to test their reliability in early detecting anomalous signals from the monitoring network before eruption events on Mt. Etna (Italy). In particular, we evaluate the effectiveness of using random forest approaches to learn from the measured signals the complex dynamics of the Etnean volcanic environment without any a-priori information on the data relationships. Such models are then tested against real eruptive cases to assess their performance.
Advanced Knowledge Management

UKeiG’s professional development programme continues to be a huge success attracting delegates from all sectors and disciplines of the library and information profession. Dion Lindsay (Managing Director of Real Knowledge Management) explores advanced KM strategy and digital implementation in depth.&#x0D; Keywords: Knowledge Management, KM
Training Decorating Accessories Veil and Family to Increase Revenue and Tourism in Kenagarian Payo Lubuk Sikarah District City of West Sumatra Solok

Partners in Service community in Payo Solok District of Lubuk Sikarah are housewives and teenagers drop out of school. The problem faced by the people in the District of Lubuk Sikarah Payo Solok is a lack of knowledge and skills of the communities in the field of fashion, especially in decorating the veil and make accessories. The method used in accordance goals in training. The results of the implementation of the training activities create various accessories that housewives and teenagers (PKK) in Kanagarian Payo Solok, it has the ability and skill in making accessories in various forms by 75%, and the participants have to understand and have base makes a wide range of accessories by 80%. This can be seen from the shape hijab accessories and brooches generated sufficient quality. This is because the participants were seriously and earnestly to follow and activities make hijab accessories. The capacity of the hijab accessories making techniques, participants also have the skill by 85%.&#x0D; &#x0D; Keywords: Hijab Embroidery Training and Accessories
Learning Medical Terminology in Risk Factors for Cardiovascular Diseases Using Concept Mapping: Case University of Medicine

quickly over the past few years.Concept mapping (CM) is an effective tool in teaching and learning, however ,this strategy has not been evaluated among medical terminology (MT) in risk factors for cardiovascular diseases (CVD).The purpose of this study is to introduce concept mapping to improve learning medical terminology in risk factors for card iovascular diseases course, different skills and also to determine if concept mapping increases med ical learners' capability to correct ly interpret med ical terminology in risk factors for cardiovascular diseases.Participants were fourth year medical learners (n=100) fro m the university of medicine Algiers in Algeria; they were randomly d ivided into two groups of (50), one group attending the traditional programme, the other the innovative programme.Learner performance was controlled using written knowledge tests.The Learners also evaluated the suitability of the learn ing process using a 7-item survey.The results of this study showed that the learners gave ext remely positive rat ings for the innovative course.So concept mapping is a strategy that can help med ical learners, with their efforts towards meaningful learning and to enhance their different reasoning and learning skills, as well as their deeper understanding of med ical terminology in risk factors for cardiovascular diseases.
ANALISIS KLASTER METODE WARD DAN AVERAGE LINKAGE DENGAN VALIDASI DUNN INDEX DAN KOEFISIEN KORELASI COPHENETIC (Studi Kasus: Kecelakaan Lalu Lintas Berdasarkan Jenis Kendaraan Tiap Kabupaten/Kota di Jawa Tengah Tahun 2018)

Based on Central Java Regional Police data, traffic accidents from 2017 to 2018 increased from 17.522 to 19.016 or 8,54 percent. To reduce the number of traffic accidents in Central Java, the initial step was carried out by grouping districts/cities that had the same accident level characteristics based on vehicle type with cluster analysis. The ward and average linkage method is a hierarchical cluster analysis method. ward method can maximize cluster homogeneity. While the average linkage method can generate clusters with small cluster variants. In this study using a measure of squared euclidean distance to measure the similarity between pairs of objects. To determine the quality of clustering results, the validation dunn index and cophenetic coefficients corelation are used. Based on the results of the clustering, the optimal number of clusters is obtained at q = 5 for the average linkage method with the results of validation dunn index = 0,08571196 and the rcoph = 0,687458. Keywords: Accidents, Cluster Analysis, Ward Method, Average linkage, Squared Euclidean Distance, Dunn Index, Cophenetic Correlation Coefficient
An Analysis of Culturally Specific Items and Translation Techniques Applied in Edensor

&lt;em&gt;This research aims to identify and classify Culturally Specific Items (CSIs) of a bilingual novel titled Edensor by using Newmark’s taxonomy and to analyze CSIs classification by using translation techniques of Mollina and Albir. Further, this research purposes to know the accurateness of the translation. This research design is conducted with a qualitative-descriptive approach. The data of the research are taken from a novel namely Edensor which is written by Andrea Hirata, and the novel is translated from Indonesian to English by John Colombo. The researchers collect the data by using techniques of library research. The data is collected by identifying and classifying of CSIs in the novel. Then, the data is analyzed based on the translation techniques. The results show that amplification technique is used for 16 data (48.49%), borrowing technique is used for 6 data (18.18%), calque technique is used for 2 data (6.06%), description technique is used for 1 data (3.03%), generalization technique is used for 7 data (21.21%), and reduction technique is used for 1 data (3.03%). The mostly used in translation technique of CSIs is amplification technique by giving additional information, because it can make a clear for the English readers. Further, the accurateness of the CSIs translation shows 19 data (57.58%) for accurate translation, 10 data (30.30%) for less-accurate translation, and 4 data (12.12%) for inaccurate translation.&lt;/em&gt;
Developing Interactive Learning Media Based on Fowton

This study was conducted to develop an interactive animation learning media in the fifth grade science learning of balanced nutritional food material in Pondok Pucung 01 Elementary School, South Tangerang. Data was collected through documentation techniques, interviews, questionnaires and validity. The analysis technique used is qualitative and quantitative analysis. Validation of this animated interactive learning media is guided by four aspects: 1) aspects of content and content, 2) aspects of display, 3) aspects of use and presentation, and 4) aspects of language. Validation by two media experts resulted in scores of 3.33 (very good) and 3.63 (very good). Validation carried out by two material experts in grade V SD produced scores of 3.66 (very good) and 3.36 (very good). Animated interactive learning media obtained a mean score of 3.49 from the score range 1-4 and included in the category "very good". This shows that the interactive interactive learning media developed are very suitable for use as elementary school science learning media.
Cultural Diversity in the Use of Action Verbs in Indonesian Senior High School English e-Textbooks: A Qualitative Content Analysis

Having a purpose of providing all Indonesian students with cheap but qualified textbooks, the e-textbooks should be culturally inclusive, which are able to make the students engage with the texts, and later be motivated to learn. Ena (2013) and Wulandari (2019) found cultural biases in English e-textbooks for senior high schools in Indonesia, which could demotivate students from certain cultural groups, which were underrepresented or represented unfairly. Thus, aiming to elaborate to what extent diversity is represented in the action verbs of the e-textbooks studied, qualitative content analysis was chosen for this study. The reseachers were the main instruments, followed by categorizations and interraters. The results showed there was ethnicity bias. There was no Melanesian animal subjects using action verbs at all in all the e-textbooks and Melanesian human subjects never dominated any e-textbook, while Foreign subjects, who in reality are less in number than the Melanesian, dominated the e-textbook for grade X. Since there was ethnicity bias in the e-textbooks, all the parties involved in the creation of the e-textbooks should either vary the writer team’s ethnicities or vary the texts’ cultural settings and make them in line with the population rank of ethnicities in Indonesia.