Reviewerly/exHarmony huggingface dataset:
Modifications of the Goguen's intuitionistic fuzzy implication

On the basis of the Goguen’s intuitionistic fuzzy implication, seven of its modifications are constructed. Some of their basic properties are studied. The negations, generated by these implications are introduced and some of their properties are also described.
Investigation of the structural and functional reliability of the motion control and navigation system of a small spacecraft in the conditions of its multi-mode operation

In the course of the design, creation and application of complex multi-mode systems, which undoubtedly include the motion control system of small spacecraft for remote sensing of the Earth, when choosing the configuration of elements and connections between them, as well as the parameters of the system, it is advisable to explore the possibilities of using dynamic operation modes significantly affecting the structural and functional reliability of the system. Based on the new original concept of the parametric genome of the complex multi-mode object structure, introduced by the authors, the article describes the results of the studies of the influence of various options for activating the modes of operation on the structural and functional reliability of the motion control and navigation system of the small spacecraft “Aist-2D”. To assess the structural and functional reliability of the system under study integral indicators have been introduced. At the same time, the possibility of involving joint activation of the modes of operation, the equivalence of the intensities of utilizing the activation of the modes of operation and the homogeneity of the traffic control system were taken into account.
Innovativeness

This case focuses on the experiences of educational change of a number of key stakeholders as they adopted, implemented, and sustained a one-to-one computing innovation over 20 years. Focused on the members of an individual school community, the case suggests the importance of a culture with a strong educational philosophy that encourages flexibility, risk-taking, and collegiality in sustaining educational change. Using a systems approach, the administration sought continuous feedback from all constituents, especially those most impacted by the program. The school has been able to sustain change through a program that motivates, promotes collaboration, and requires constituents to focus efforts and engage in continuous learning, while remaining true to its mission.
The Use of English in Promoting Fashion

This research is conducted to know the use of English in promoting fashion in social media. In social media, many people upgrade their style to sell. They sometimes used English to advertise to attract readers' attention to buy. The research aims to know the use of English in terms of the meaning of language and word order of the English used in promoting fashion. This research is a kind of descriptive research. The researcher took the data from sellers' posts on social media. The data were analyzed based on two variables. They are grammar and word order. The research results showed that the English used to promote fashion is incorrect and does not follow the correct word order and grammar.
Green Building Concept Application with VRF Air Conditioning System

The objective of this research is to find out the benefit of the Green Building Concept application with VRF Air Conditioning System at Indonesian Computer University. The research method used is descriptive quantitative analysis. Based on research findings, the VRF air conditioning system in Indonesian Computer University could reduce electrical power usage and the monthly cost for electrical power. However, the payback can only be reached after 15 years of operation. The other benefits are the space efficiency for more flexible placement of the outdoor unit and did not decrease the building's aesthetic appearance.
Extended JPEG Decoders With Luma Restoration and Luma-Guided Chroma Restorations

This study presents two extended JPEG decoders that restore the degraded images quickly and accurately. They have a luma restoration and two luma-guided chroma restorations before/after chroma upsampling in addition to the standard decoder. The experiments based on the typical classical methods such as the block-matching and 3D filtering (BM3D) and guided filter (GF) show that the proposed methods restore the noise-added JPEG-compressed images faster and better than the classical one that does not consider the JPEG process.
WhatsApp Stickers: A Reward System to Boost Students’ Motivation in Learning Grammar

Mastering grammar among primary pupils is a challenge in teaching and learning English.Lack of knowledge in correct words arrangement becomes a hindrance for pupils to communicate and understand ideas effectively.Different grammar structures and rules in English also affected pupils' encouragement in learning.In order to solve the problem, a reward system using WhatsApp Stickers is introduced as an intervention.WhatsApps Stickers are given as a reward for teaching and learning for English grammar.Research designs used in this study are pre and post test, pupils' document, and quiz.Data were collected using interview, pupils' achievement, and observation.Findings show the intervention helps improve pupils' achievement, motivates pupils to learn, and displays a positive attitude toward grammar learning.The study helps the teaching grammar process and benefits pupils in communicating basic information using digital media.Further recommendations to use the same intervention for adult learners to see the extent of WhatsApp Stickers effectiveness and suggesting a study to be conducted for other skills such as listening, writing, and speaking skills
Machine Learning and Applications in Education Science Research

The article presents an overview of the application of machine learning techniques in education science research. The research process shows the use of technology in learning and teaching, collecting information, analyzing and processing data to provide high-accuracy answers or advice in solving educational issues is the trend and strength in education science research. Through this, the group of authors make recommendations on some research directions in the field of education approaching international publications.&#x0D;
Adaptive Grey Wolf Optimization Algorithm with Neighborhood Search Operations: An Application for Traveling Salesman Problem

Grey wolf optimization (GWO) algorithm is one of the best population-based algorithms.GWO allows sharing information in the wolf population based on the leadership hierarchy using the hunting mechanism behavior of real wolves in nature.However, the algorithm does not represent any key exchange information sharing for the traveling salesman problem because of two issues.The candidate solutions are improved dependently, similar to local search concepts, losing their capability as a population-based algorithm.The algorithm is limited in its search process in finding only the local regions and ignoring any chance to explore search space effectively.This study introduced an adaptive grey wolf optimization algorithm (A-GWO) to solve the information-sharing problem.The proposed A-GWO maintains sufficient diverse solutions among the best three wolves and the rest of the population.It also improves its neighborhood search by obtaining more locally explored regions to enhance information sharing among the wolves.An adaptive crossover operator with neighborhood search is proposed to inherit the information between the wolves and provide several neighborhoods to find more solutions in the local region.Experiments are performed on 25 benchmark datasets, and results are compared against 12 state-of-the-art algorithms based on three scenarios.The credibility of the proposed algorithm produces approximately 53%, 58%, and 63% better tour distance in the first, second, and third scenarios, respectively.The proposed A-GWO achieves approximately 87% better minimum tour distance compared with the GWO algorithm.
Tips and Tricks

In the first chapter of this book, you about learned the history and philosophy of Python. Subsequent chapters explored the features of various test automation frameworks in Python. The frameworks you explored included doctest, unittest, nose, nose2, and pytest. Later, you learned about Selenium and logging in detail. This chapter looks at coding conventions that will make the test discovery easier across these frameworks. Then, you will look at the concept of test-driven development and learn how it can be implemented in Python 3 projects with the help of pytest.
FEATURES OF THE FORMATION OF INCLUSIVE COMPETENCIES OF TEACHERS WORKING IN GENERAL EDUCATION ORGANIZATIONS

The article discusses the need for teachers working in general education organizations to form professional qualifications in the integrated education of children with developmental disabilities and what requirements may be imposed on their professional activities, what can and should change in their professional and personal development. In the study, practical work was carried out by teachers of Secondary School No. 11 named after E. Berlykozhauly in the village of Erkin, Taldykorgan, Almaty region, aimed at improving the experience of inclusive education, the formation of competence in connection with the lack of readiness of teachers to carry out their professional activities in the new conditions. Based on the results of this work, recommendations are given. The practical value of the research results is that a set of developed and tested diagnostic methods allows teachers of higher schools to diagnose the levels of formation of inclusive competencies of future teachers.
Peningkatan Public Speaking bagi Siswa SMK Bina Nusa Slawi

The activity of speaking or known as public speaking is a scary thing for students. Although they are often asked to practice presentations in front of the class, the technique of delivering public speaking is often not paid attention to. There are several techniques that should be mastered in public speaking so that the delivery can be conveyed well to the audience. This time, the implementation of PKM aims to provide knowledge about public speaking skills, improve speaking skills, mentally prepare students to speak in front of crowds, and equip students to enter lectures or work. The method presented in this activity is lecture and practice.with 20 students from SMK Bina Nusa Slawi. Students are also provided with modules to make it easier when delivering and students can also repeat the material at home. Students are also given directions regarding the correct way of presentation in Indonesian and English in accordance with the rules of public speaking. In addition to theory and practice in the classroom. Students are also directed to observe several public speaking figures through Youtube channel. In general, community service activity at SMK Bina Nusa Slawi are going well. Students' enthusiasm is extraordinary, as evidenced by the fact that 80 percent of students believe that having public speaking skills and increasing self-confidence are important. Students feel helped by this activity because they gain knowledge about public speaking and presentation techniques that can be used to support presentations in class or as a provision for later in the world of work.
Characteristics of utterances in the reproduced cognition of basketball coaches:

The aim of this case study was to reproduce the images recorded by a fixed video camera and those recorded by a 360-degree omnidirectional camera to investigate characteristics and differences in how expert coaches and novice coaches perceive such images, based on differences in the coaches' verbal responses during basketball games. From the findings, 3 points were clarified. 1) It appeared that novice coaches were unable to observe phenomena in VR images but were able to do so from fixed camera images. In contrast, proficient coaches were considered highly likely to observe such phenomena from both types of images. 2) From fixed camera images, both novice and proficient coaches tended to observe phenomena objectively, in terms of being able to describe the situation and offer guidance and criticism. 3) From VR images, proficient coaches tended to offer praise or instructions on the basis of specific individual characteristics of player or team movements.
Control System of Two Handed Service Robot

This work presents an example control system of a service robot. All used concepts, tools and open source software are described. The control system is presented starting from configuration of hardware, specification, up to its implementation. Generality of the image allows the reader to look at the problem globally, while some important, detailed aspects are highlighted. Simulation–related problems are also described. The presented system of WUT Velma robot has been used in many research works.
DATA BREACHES AND DIGITALISATION

The report provides an overview of the importance and benefits of examining personal data breaches in the context of a global trend such as digitalisation. Regardless of the extremely negative consequences that security breaches have, both for the individuals whose data are affected and for the data controllers / processors, data breaches are valuable sources of information.
Virtual reality in Education. Broken promises or new hope?

Virtual reality in one form or another has been around for over 50 years, most notably in entertainment and business environments. Technology-focused teachers have been leading the way with attempts at utilising and integrating virtual reality into K-12 and Higher Education. However, as quickly as technology changes so does the enthusiasm for the use in educational contexts. Much of this is due to the high-level cost (time and money) with no evidence-based educational return. In 2020 the global pandemic forced the education sector to innovate to provide authentic learning environments for students. The time is right for virtual reality to take centre stage. Over 171 million people worldwide currently use virtual reality, and the market in education is expected to grow by 42% over the next five years. This paper focuses on a range of virtual reality literature encompassing work across the spectrum of software and hardware, identifying where more educational implementation and research needs to be done and providing a perspective on future possibilities focusing on current affordances.
Getting a Grip on Research Data Management

In March 2021 the Tri-Agency released its Research Data Management Policy, including its three pillar requirements. This article reviews some key points from the Alliance RDM (Portage Network) workshop "Putting the Tri-Agency Policy into Practice: Workshopping Your Institutional Research Data Management Strategy."
Online Multiple Object Segmentation in Mask Coefficient Space

Recently, the exponential increase in video data makes video instance segmentation attracts significant attention in the field of computer vision. In this work, we propose a method for online multiple object segmentation. The proposed method describes each object by the mask coefficients with respect to the generated prototypes. Instead of tracking multiple objects in image/feature space, we address the segmentation and tracking issues directly in the mask coefficient space that is stable and discriminative for temporal matching. In the experiment, we validate the proposed method by using the DAVIS 2019 dataset.
Efficient Technique on Face Recognition Using CNN

Abstract: World is facing a severe health crisis due to the fast transmission of the coronavirus(Covid-19).WHO has issued many guidelines for prevention of the spread of coronavirus. According to WHO, the best way to reduce the spread of coronavirus is by wearing mask in public and crowded areas. In this paper, a 2-stage CNN model is proposed to check whether the people are wearing mask or not. The proposed model is trained and tested on a number of data sets. Keywords: Coronavirus, face detection, data set, CNN, AI
Vehicle Motion Planning for the Visually Challenged People Using Ant Colony Optimization

This paper presents a novel proposal to solve the problem of obstacle detection and path planning for visually challenged people based on simple Ant Colony Optimization Meta-heuristic (SACO-MH). The mission of the path planning problem is to enable the vehicle to move from the starting point to the target point while satisfying certain constraints. Constraint conditions are: not a collision with known or unknown obstacles, away from the obstacle as far as possible, determines the shortest path, shortest time and so on. Obstacle detection is made with the help of sensor technology and it is intimated to the user with the help of a smart watch. A voice based navigation system guides the user
Research on English Learners’ Self-efficacy in Rural Junior High Schools from the Perspective of Rural Revitalization

Currently, English learners in Chinese rural junior high schools have been increasingly focused by people in all walks of life, especially the government for they will function as an impetus to promote the construction as well as the growth of the new rural areas. Accordingly, this study will utilize the rural revitalization, a national strategy for rural areas to investigate some current situations on English learning self-efficacy of rural school students, which is an important factor affecting their learning, taking students of several rural middle schools in Suining, Sichuan province as participants and including the following research questions by virtue of the method of questionnaire, interview and literature analysis: 1) What is the current situation about English learning self-efficacy of rural junior high school students under the background of rural revitalization? 2) What factors can affect English learners’ learning self-efficacy against the background of rural revitalization? 3) Is there any positive or negative correlation between learners’ English learning self-efficacy and their academic achievements in the context of rural revitalization? Based on the outcomes of this research project, some valid and feasible strategies can be introduced to promote English learners’ self-efficacy and facilitate better achievements in English learning in rural junior high schools.
Automatic Phonemes Segmentation for Quran Verses Using Kaldi Toolkit

In this paper, automatic segmentation system was built using the Kaldi toolkit at phoneme level for Quran verses data set with a total speech corpus of (80 hours) and its corresponding text corpus respectively, with a size of 1100 recorded Quran verses of 100 non-Arab reciters. Initiated with the extraction of Mel Frequency Cepstral Coefficients MFCCs, the proceedings of the building of Language Model LM and Acoustic Model AM training phase continued until the Deep Neural Network DNN level by selecting 770 waves (70 reciters). The testing of the system was done using 220 waves (20 reciters), and concluded with the selection of the development data set which was 280 waves (10 reciters). Comparison was implemented between automatic and manual segmentation, and the results obtained for the test set was 99% and for the Development set was 99% with Time Delay Neural Networks TDNN based acoustic modelling.
METODE TRIPLE EXPONENTIAL SMOOTHING TIPE BROWN PADA PERAMALAN PRODUKSI PADI PROVINSI JAWA TENGAH

Paddy is one of the staple food crops that almost all Indonesians consume every day. Central Java Province is one of the national food buffer provinces, therefore a model is needed to predict the amount of paddy production in Central Java Province for the future. The amount of paddy production in Central Java Province is not constant and fluctuates every year, so the one-parameter Triple Exponential Smoothing model of the Brown type is used to predict the amount of paddy production in Central Java Province. Based on the results of the analysis of the data, it was obtained that the one-parameter Triple Exponential Smoothing model of the Brown type which is appropriate to be used to predict the amount of paddy production in Central Java Province is F28+m=9485520,31-536660,01(m)+(0,5)(-91215,38)(m2), where the number of periods from 1 to 5.
Middleware Patterns for Cloud Platforms

This chapter explores how traditional system architectures are being affected by the emergence of ‘Uber’ style platform models that provide business services with huge global reach. The specific demands and characteristics of such platforms are discussed which in turn dictate their technical requirements. The chapter will explain how middleware technologies have evolved to support today’s requirements for such massively scalable platform solutions. The latest preferred architectural paradigms dictate the use of micro-services and APIs are central to the design of such platforms. Similarly, event based architectures are another key paradigm that must be supported. The role of modern middleware and cloud technologies to support these newly dominant paradigms will be explained. Key architectural patterns pertinent to global platform solutions are illustrated. The role of modern middleware in fulfilling these patterns is highlighted using real-world examples from the field of open finance.
HIGH QUALITY LOW BITRATE VOICE CODEC FOR TRANSMISSION OVER ADVANCED LTE

In mobile communication systems bit-rate reductions while maintaining an acceptable voice quality are necessary to achieve efficiency in channel bandwidth utilization and users satisfaction. As Long-Term Evolution(LTE) converging towards all-IP solutions and supporting VOIP service, the voice signals are converted into coded digital bit-stream and sent over the network. This paper proposes the implementation of codebook excited linear prediction (CELP) voice codec algorithm based on two source-rates of low 9.6Kbps and medium 16Kbps for achieving a perceptible level of voice quality, while efficiently using available bandwidth during the transmission over advanced LTE. The architecture of proposed CELP codec model is implemented to decompose the voice signal into a set of parameters that characterize each particular frame at the encoder part, these parameters are quantized and encoded for transmission to the decoder. The investigation showed that the configuration of the link and the applied CELP codec mode mainly influence on the obtained voice capacity and quality. The quantifying also shows that the voice quality can be traded for the enhanced capacity, since the low rate codec will produce lower voice quality than higher rate codec. Also, this paper is achieved, during theconfiguration of the system with higher channel quality indicator (CQI) index, increasing in the capacity gain to a saturated value of about 500 and 1000 users per cell over 5MHz bandwidth for transmit diversity (TD) and Open-Loop Spatial Multiplexing (OLSM) respectively and up to 1000 and 2000 users per cell over 10MHz channel bandwidth for TD and OLSM respectively.
Development of Telegram Bot for Flipped Learning Chemistry Class with UCD Approach

The need for media that supports online learning is increasing along with the Covid-19 pandemic that is spreading in the world. The learning media is expected to be in the form of media that is easy to use and does not require additional costs incurred by students. One application that is widely used today is Telegram. The application provides a telegram bot facility that can assist teachers in delivering the material they are taught. By using the telegram bot, students can easily use applications on their mobile phones without installing additional applications. This study discusses the development of online learning methods using telegram bots as a medium for delivering material to students using the approach of UCD. This study used usability testing to evaluate the Telegram bot as the media for flipped learning. There are five indicators measured in the usability evaluation we used in this research. The result of the assesment is 83.56%.