Reviewerly/exHarmony huggingface dataset:
DIGITIZING ENGLISH LESSONS: INCORPORATING INTERACTIVE PLATFORMS INTO CLASSROOM EDUCATION

The article offers a general outline of particular online platforms that have proved effective for teaching and learning English as a second language in a regular classroom. A bigfocus is placed on activities each platform has to offer, as well as on various teacher access options and benefits. The idea behind this article is to share experience and disseminate success stories related to the use of these platform in our routine teaching practice. Since nowadays teaching focus has shifted from reproduction to competence acquisition, every competence implies certain skills and abilities that can be used for career and life success. One of these key competences is digital literacy, which can be developed through integrating technology into classroom activities. Alongside gaining appropriate digital skills, digital technology can significantly diversify the entire learning process and make language learning a combination of skills acquisition and pleasure.
Glitter (Guided Literation Movement) Model Development In Junior High School

This research aims to describe and develop GLS SMP management at this time, its strengths and weaknesses, and the development of an effective GLS management model in SMP. This type of research is development research. Data collection methods use data triangulation (questionnaire, interview, documentation). Data were analyzed using qualitative descriptive techniques. The results of the research show: Model validation was carried out by experts with the results of the validation showing the Glitter SMP model was considered very feasible with an average score of 81.51. The model was tested on the GLS implementers of SMP Negeri 1 Bawen, Semarang Regency, Central Java with the average results of eligibility 84.09. The conclusion is that the Glitter SMP model can be applied effectively in the implementation of GLS in SMP.
Interaction Between Teachers And Students While Designing Individual Educational Routes For Students

The individual educational route is considered to be an effective means of personalizing and individualization of the educational process in relation to individual preferences and life priorities of students.Interaction of participants should be organized basing on the implementation of the following principles: motivational support for interaction; orientation in determining individual educational goals of students basing on the competencies being formed, requirements of professional standards, opportunities and personal priorities of students; algorithmic actions of subjects; continuity; variability in the content and operational component of interaction at the design stages; reflexivity.Technology of designing individual educational route involves implementation of an algorithm based on the interaction of stakeholders in the process including the following stages: the interaction in the process of diagnosis, analysis and assessment of level of formation the qualities important for the profession and the nature of students' professional aspirations; identification of goals, objectives and desired outcome of individual student activities in the framework of the development of the educational program as a whole or its individual component; joint selection of the key areas and control points of a route, developing a system of actions and interactions of actors involved in the process, at every stage of its implementation; the choice of means of monitoring and assessing intermediate and final results of the route to the control points and on completion.
Virtual Gesture Recognition Keyboard

In this study we’ve considered advantages and disadvantages of different keyboard types and propose a fundamentally new one: keyboard based on gesture recognition. Keyboard itself is glove-shaped, and is supposed to be worn on hand. It provides enhanced mobility, as this keyboard doesn’t need any surface in order to type. Its compactness is a notable feature, since standard keyboards take up more space, which can cause an issue during a trip. Its technology is based on detecting flexion of the fingers and recognizing incoming readings as a press of a specific symbol. Powered with machine learning, it can adapt to users’ hand’s physiological features as well as to their way of using said keyboard. Its functionality can be extended by defining new symbols or making a set of commands to execute on triggering, and since metrics are range-based, they can be easily inserted in an existing set. Due to technology’s analog nature, many other input devices can be emulated using the base glove, with only the need for writing supporting drivers.A working prototype of such keyboard has been developed and its build and realization are described in this study. Prototype has been built on top of an Arduino UNO r3 board, using one of the most common types of LEDs and photoresistors, which are often shipped in starter kits. As well, a simple driver has been developed, which can correctly recognize input symbols and implement adaptation to specificities of user’s typing, using optimized k-nearest neighbors machine learning algorithm. Simplicity of its build, and availability of its components suggest low production cost and greater opportunity of serial production. As well, conclusions have been made about the convenience of its usage, and whether it meets expected requirements.Manuscript received 12.06.2020
Embedding Quality into Software Product Line Variability Artifacts

The success of any software product line development project is closely tied to its domain variability management. Whereas a lot of effort has been put into functional variability management by the SPL community, non-functional variability is considered implicit. The result has been dissatisfaction among clients due to resultant poor quality systems. This work presents an integrated requirement specification template for quality and functional requirements at software product line variation points. The implementation of this approach at the analytical description phase increases the visibility of quality requirements obliging developers to implement them. The approach proposes the use of decision tree classification techniques to support the weaving of functional quality attributes at respective variation points. This work, therefore, promotes software product line variability management objectives by proposing new functional quality artifacts during requirements specification phase. The approach is illustrated with an exemplar mobile phone family data storage requirements case study.
Toward Creation of Ancash Lexical Resources from OCR

The Quechua linguistic family has a limited number of NLP resources, most of them being dedicated to Southern Quechua, whereas the varieties of Central Quechua have, to the best of our knowledge, no specific resources (software, lexicon or corpus). Our work addresses this issue by producing two resources for the Ancash Quechua: a full digital version of a dictionary, and an OCR model adapted to the considered variety. In this paper, we describe the steps towards this goal: we first measure performances of existing models for the task of digitising a Quechua dictionary, then adapt a model for the Ancash variety, and finally create a reliable resource for NLP in XML-TEI format. We hope that this work will be a basis for initiating NLP projects for Central Quechua, and that it will encourage digitisation initiatives for under-resourced languages.
Kurdish Spoken Letter Recognition based on k-NN and SVM Model

Automatic recognition of spoken letters is one of the most challenging tasks in the area of speech recognition system. In this paper, different machine learning approaches are used to classify the Kurdish alphabets such as SVM and k-NN where both approaches are fed by two different features, Linear Predictive Coding (LPC) and Mel Frequency Cepstral Coefficients (MFCCs). Moreover, the features are combined together to learn the classifiers. The experiments are evaluated on the dataset that are collected by the authors as there as not standard Kurdish dataset. The dataset consists of 2720 samples as a total. The results show that the MFCC features outperforms the LPC features as the MFCCs have more relative information of vocal track. Furthermore, fusion of the features (MFCC and LPC) is not capable to improve the classification rate significantly.
Reform Practice and Exploration on Postgraduate Course in English Based on “Portfolio and Risk Analysis”

As China's financial market continues to open to the outside world, and the demand for compound talents keeps increasing. It has provided a huge opportunity for the research of investment discipline and the reform of English teaching. In the paper, the postgraduate group is taken as the targeted students of the “Portfolio and Risk Analysis” course. This paper explores and summarizes from three aspects of teaching design, teaching methods and teaching evaluation, which aims at delivering compound talents with practical knowledge for the financial market.
Development Of Creative Abilities In The Lessons Of The Russian Language In The Front Of Applying The Technology Of Developing Critical Thinking Through Reading And Writing

The article describes the complex tasks of upbringing and development of the individual in modern conditions, the content of the application of technologies for the development of their creative abilities, critical thinking through reading and writing in Russian lessons.
AN ANALYSIS ABOUT HATE SPEECH TOWARDS PRESIDENT JOKO WIDODO ON HIS INSTAGRAM ACCOUNT: A PRAGMATICS ANALYSIS.

The purposes of this qualitative research are: (1) to find out the meanings and aims of hate speech on Joko Widodo's Instagram account. (2) to find out the functions of the illocutionary act of hate speech on Joko Widodo's Instagram account. (3) to find out the dominant function of hate speech on Joko Widodo's Instagram account. The data of this research are the comments of netizens found on Joko Widodo's Instagram account. The first result of this study shows that all the comments found on Jokowi's Instagram aim at indignation, defamation, blasphemy, distastefulness, provocation, incitement, and forgery. The second result is that the functions of illocutionary acts on Jokowi's Instagram account consist of 30 directives, 137 representatives, 7 commissives, 65 expressive, and no declaration. The third one is that the dominant function found on Jokowi's Instagram is representatives attaining 55,70% classified into 36 comments as giving an opinion, 33 comments as telling or reporting, 25 comments as complaining, 22 comments as stating, and 21 comments as suggesting.
Application Research of Blended Teaching based on Duifene Teaching Platform: Modules on Construction Project Management

The Duifene teaching platform is a product of various teaching methods, which greatly improves the traditional teaching method. This article introduces the function and characteristics of a blended teaching platform as well as its application for histology and embryology modules. In addition, the advantages and disadvantages of blended teaching method is also discussed. The application of this teaching platform for Construction Project Management modules encourages students to be more enthusiastic and interested toward learning. This allows a more convenient and rapid teacher-student and student-student interaction thereby improving the teaching and learning experiences.
Imbalanced Data Oversampling Technique Based on Convex Combination Method

Classification process is the predicting a label for a specific set of inputs. In such process, it is difficult to classify given inputs when a dataset is imbalanced. Most of existing machine learning classifiers suffer from dealing with the imbalanced data, because it makes the classifiers highly biased towards the majority class. This bias may lead to less accuracy in minority class prediction. Data oversampling is one of the most important solutions used to balance the data particularly when dataset is small and/or imbalanced dataset. Synthetic Minority Over-sampling Technique (SMOTE), Borderline-SMOTE, Adaptive Synthetic (ADASYN) and Weighted SMOTE(W-SMOTE) are the most popular techniques used for data oversampling. However, the main drawback of SMOTE and ADASYN techniques is they increase the overlapping between classes and then the produced samples are not representative of the original data distribution. The Borderline-SMOTE may neglect some important samples to produce new samples. To overcome, the problems in the existing over-sampling techniques, in this paper, we propose a new data over-sampling method that depends on the convex combination method to generate new samples of the minority class. The convex combination allows us to produce new samples that have the same original data distribution. We evaluated our approach over four standard imbalanced datasets (Yeast, Glass Identification, Paw, and Wisconsin Prognosis Breast Cancer (WPBC)). The experimental results show that our proposed method gives better performance in terms of accuracy, precision, recall. F1-measure and Area under the curve (AUC).
OPTIMIZING THE INVENTORY ROUTING PROBLEM USING ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM

The inventory routing problem (IRP) is an NP-hard optimization problem, which integrally seeks the minimal cost of inventory and transportation in supply chain management. However, the inventory management activities and transportation activities are conflicting in most cases. Therefore, how to efficiently solve the one-to-many IRP is still a challenge and practical requirement. As a powerful and popular evolutionary algorithm, differential evolution (DE) has been successfully applied to tackle complex industry optimization problems. In this paper, a novel method for the one-to-many IRP using an adaptive DE algorithm (named aDEIRP) is proposed. In the proposed aDEIRP algorithm, the DE algorithm with the deliver routing-based solution representation is used to solve the complex one-to-many IRP problem. In addition, a modified DE with adaptive parameter control is proposed to enhance the optimization performance. Comprehensive experimental results verified the effectiveness and efficiency of the proposed method.
Geo Landmark Recognition and Detection

The widespread use of smartphones and mobile data in the present-day society has exponentially led to the interaction with the physical world. The increase in the amount of image data in web and mobile applications makes image search slow and inaccurate. Landmark recognition, an image retrieval task, faces its challenges due to the uncommon structure it possesses, such as, buildings, cathedrals, castles or museums. These are shot from various angles which are often different from each other, for instance, the exterior and interior of a landmark. This paper makes use of a Convolutional Neural Networks (CNN) based efficient recognition system that serves in navigation, to organize photo collections, identify fake reports and unlabeled landmarks from historical data. It identifies landmarks correctly from a variety of images taken at different viewpoints as well as distances. An appropriate CNN architecture helps to provide the best solution for the currently selected dataset.
PREVALENCE AND FORMS OF ONLINE HARASSMENT AMONG UNDERGRADUATES OF A NIGERIAN UNIVERSITY

The upsurge in accessing and utilizing the internet and social networking sites for social activities predisposes adolescents and young adults globally to online harassment, Nigerian undergraduates inclusive. The impacts of online harassment have attracted many research interests, especially in the developed world and the dearth of inquiries among Nigerian undergraduates. This work inquired about the prevalence and forms of online harassment perpetrated by undergraduates in a Nigerian university. A descriptive research design was adopted, data were amassed utilizing a three-sectioned self-report form administered on a sample of 420 undergraduates. The selection of the sample was made following a multistage procedure. Percentage and univariate analysis techniques were used for data analysis. The result of the inquiry revealed widespread online harassment among the undergraduates of the university. All the forms of online harassment assessed were perpetrated; dog pilling topped the list (63.1%), followed by trolling (44.0%). The high rate of occurrence demands the urgent attention of the university authority, professionals across relevant fields should create awareness; the need to develop interventions and policies to deal with online harassment is obvious
The Extent of Implementing the Educational Policies That Are Based on Modern Trends for Improving Technical Education in Jordanian Public Universities from the Perspective of Academic Leaders

The present study aimed to explore the extent of implementing the educational policies that are based on modern trends for improving technical education in Jordanian public universities from the perspective of academic leaders. A descriptive developmental approach was adopted. The researchers used a questionnaire for collecting data. This questionnaire sheds a light on two areas. The researchers measured the reliability and validity of the questionnaire. The population involves all the academic leaders who were working in Jordanian public universities during the academic year (2019/2020). The stratified random sampling method was used to select a sample. The sample consists of 709 academic leaders. It was found that the extent of implementing the educational policies that are based on modern trends for improving technical education in Jordanian public universities is moderate from the perspective of academic leaders in two areas. These areas are: (educational policies and technical education). It was found that there isn’t any statistically significant difference –at the statistical significance level of (a=0.05)- between the respondents’ attitudes which can be attributed to job title or year of experience. It was found that there is a statistically significant difference –at the statistical significance level of (a=0.05)- between the respondents’ attitudes which can be attributed to university. The latter difference is for the favor of the ones who work in the universities located in the Central Province. The researchers recommend promoting awareness among managers of the top management levels in public universities about the need for developing the educational policies that aim at improving technical education Keywords: Educational policies, technical educational programs, modern trends related to technical education, Jordanian public universities. DOI: 10.7176/JEP/11-19-11 Publication date: July 31 st 2020
PENGARUH LITERASI DIGITAL DAN EFEKTIVITAS APLIKASI SIKAD TERHADAP KUALITAS PELAYANAN DAN KEPUASAAN MAHASISWA FAKULTAS ILMU PENDIDIKAN UNIVERSITAS MUHAMMADIYAH JAKARTA

This study aims to determine the effect of digital literacy and the effectiveness of the application of Sikad which is an online academic application on the quality of service and satisfaction of students as users. The study was conducted at the Faculty of Education at the University of Muhammadiyah Jakarta with respondents selected by random sampling of 90 students consisting of 5 study programs, namely: PG-PAUD, PGSD, Mathematics, PBSI, and PBI. This research uses a quantitative approach with survey methods and data analysis techniques using path analysis. The results of this study indicate that of the 7 research results, 3 of them are positive and significant, namely: The effect of the effectiveness of the application of the attitude on the quality of service is significant (T hitung&gt; T table = 2.776 &gt; 1.98 and P value &lt;0.05 = 0.006 &lt;0.05); The effect of service quality on user satisfaction is significant (69,969&gt; 1.98 and 0,000 &lt; 0.05); The effect of digital literacy on user satisfaction through significant service quality (2,803 &gt; 1.98 and 0.005 &lt; 0.05).
The Development of Web-Based Clinical Information in Polyclinic at University of Lampung

A medical record is a file containing notes and documents regarding the patient's identity, examination, treatment, actions, and services that have been provided to patients.The medical record recording activity carried out by the University of Lampung Polyclinic management was not optimal.The problems that occur are the absence of complete medical record data and difficulty finding medical record files.Meanwhile, the inventory contains a list of medicines used at the polyclinic, including price, quantity, type, and condition.The inventory system usually consists of a medicine receiving system, a medicine purchase system, and a warehouse system.This system must provide inventory information such as medicine dispensing information, medicine purchase, medicine receipt, and other information quickly and accurately.This study aimed to establish a clinical information system at the University of Lampung polyclinic BP to facilitate every employee in need of medicine or medical equipment.With this information system, it is hoped that it can further assist in processing medical record data and medicine inventories used by polyclinic employees to do work.The stages in this research were collecting research data by observing the polyclinic to collect system requirements so that the business processes that will be applied to the system are formed, and the second stage was making database design, a coding program, integration followed by installation, running, and testing the program.This study's results are expected to provide benefits in providing information about medical records and medicine inventories in facilitating the work of polyclinic employees.
GasMASk Annotation-based Code Generator as an Embedded Domain-Specific Language in Collaborative Multi-Agent Systems

Multi-agent systems have evolved with their application framework, analysis approaches and design complexities over the past few decades. In order for programming software agents, you need to handle analysis, design and implementation together; furthermore, privacy and trust should be integrated externally into the agent-oriented applications. Current frameworks do not consider privacy, trust, and data integrity in agent applications. In this study, we propose a domain-specific language that can be used for agent behaviors that consist of roles, organizational entity, goals through annotation processing with templates. Smart contracts can be generated to decrease the time for deployment and development stages. Templates and annotations are popular techniques to reduce boilerplate codebases from agent-oriented programming. These techniques can also be used for model-driven software engineering. This study will take the software agent development as a whole with analysis, design, and development with embedded domain-specific language development in terms of smart contract applications. Furthermore, we would like to refer to methodology, results of the research, and case study to enlighten readers in a better way. Finally, we summarize findings and highlight the main research points by inferencing in the conclusion section.
Selection of Specialization Class Using Support Vector Machine (SVM) Method in Sekolah Menengah Atas Negeri 1 Ambon

The curriculum is a plan to form the abilities and character of children based on a standard. One of its form is the division of specialization classes at the high school level. The 2013 curriculum emphasizes that all students in Indonesia can practice their abilities based on their interests and talents, so students no longer choose majors but choose abilities (interests) in them specialize. This research uses the Support Vector Machine (SVM) method in specialization Decision Making System (DMS) at SMA Negeri 1 Ambon. By using the motivating acceptance factors and student selection as input data, this SVM method that processed with MATLAB Software produces a Classification of Interest Class with an accuracy rate more than 95%.