Reviewerly/exHarmony huggingface dataset:
BULGARIAN TEACHER’S PROFESSIONAL ROLES IN ON-LINE EDUCATION

The aim of this study is to establish the specifics and dynamics of teacher’s professional roles in online education, provoked by the crisis with COVID - 19 in the period from March 2020 to the present. The theoretical prerequisite of the research is the thesis about the nature of teaching as performance of roles (Grasha, 1996, 2002; Harden & Crosby, 2000; Brown & Douglas, 2007 аnd others) as well as empirically developed status-role models of Bulgarian teachers in the period 2010-2020.The research is performed with а two-stage methodology:In the first stage 200 school teachers have been studied with an ordinal scale “Teachers professional roles (in on-line education)”, which represents the ranking of 38 professional roles in order from 1 to 38 according to the following dichotomous indicators: most important – least important; most preferred – most unwanted; easiest to implement - most difficult, burdensome; best prepared to perform – most unprepared to perform. The results are analysed by determining the weighting factor for each role in the scale, as well as by deriving the Spearman rank correlation coefficient (Rs) and the Kendall concordance coefficient (W). Based on the data from the statistical analysis, a matrix of the role identification of teachers in online training is derived.In the second stage of the study 20 online lessons in different subjects and in different classes were monitored - 10 lessons for primary school and 10 lessons for junior high school. Through structured observation by 10 indicators the professional roles of teachers in the real conditions of online teaching are analyzed. A comparative analysis of teachers' attitudes towards professional roles in online learning and their actual performance was made.
Pelatihan Penulisan Artikel di Jurnal Nasional Terakreditasi dan Internasional Bereputasi Bagi Mahasiswa Magister Pendidikan IPA Universitas Mataram

Article writing training in accredited and internationally reputable national journals for master of science education students has been conducted online using zoom meetings. This training activity aims to train master of science education students to be able to publish work from their research results in accredited national journals and in reputable journals indexed scopus. The event was attended by 16 students during seven zoom meeting meetings and using WhatApp group. The results of this journal surgery show that students have been able to submit, review and repair and publish their articles in the journal jppipa.unram.ac.id
The Blessing of Pandemic: Sinergizing Education and Technology Makes Learning More Flexible

The pandemic has changed people's behavior in various fields of life, including education. Changes in learning from offline to online-learning have positive and negative effects. Many researchers have researched the negative effects of pandemics in the field of education, but in this article, researchers try to present the blessings of a pandemic, one of which is a form of synergy between education and technology that makes learning more flexible. This article is a literature review accompanied by surveys conducted by the author in the online class of undergraduate students at a university in Yogyakarta. As a result, students become accustomed to carrying out online learning using LMS, video conferencing, learning videos, and various platforms. Of the many platforms that support online learning, LMS is the platform that students want the most because of its very complete features.Keywords: blessing pandemic; online learning, education and technology
PEDAGOGICAL EXPERIMENT ON THE ANALYSIS OF THE PERFORMANCE OF STUDENTS

The article describes the indicators for the analysis of students’ performance, introduces the concept of a first-class student, and presents the results of the experiment. The author systematized the parameters of the students’ working capacity, developed and conducted a pedagogical experiment based on the works of F. Taylor. A hypothesis is proposed: it is possible to measure and change the performance of students with the help of a system for improving the effectiveness of F. Taylor. To test the hypothesis, an experiment was conducted, the participants were graduate students of the Faculty of Economics and Management. The task of the experiment: to adapt the ideas of F. Taylor to the students training to measure performance based on the principles of the “first-class worker”; to try to change the performance of students. The use of indicators made it possible to adequately assess the performance of students and load them with additional tasks. For each item of the diagnostic card one can work to improve the performance parameters.
Kalimat Imperatif Bahasa Jerman

Abstract. This study aims to obtain data on the ability to use imperative sentences in German students of class XI SMA Negeri 1 Palopo and the factors that affect students' ability to use imperative sentences. This type of research is descriptive. The population of this study were students of class XI MIPA 6. The sample of this study was class XI MIPA 6 which amounted to 34 students. The sample of this study was selected using total sampling. The research data were obtained through tests using imperative sentences and questionnaires. The results showed that the students' ability level in the use of imperative sentences in German was in the sufficient category (66%). The results of the questionnaire stated that the external factor that most influenced students' ability to use imperative sentences was family support that could improve students' German language skills (67.6%) and the internal factor that most influenced students' ability to use imperative sentences was that students had high motivation in following lessons. German especially imperative sentences (50%).
Robust steady-state Kalman filter for uncertain descriptor system with missing measurement and uncertain-variance correlated noises

For the linear stochastic descriptor system with missing measurement and uncertain-variance correlated noise, the robust steady-state Kalman filtering problem is addressed. Applying the singular value decomposition (SVD) method and the fictitious noise approach, the original uncertain descriptor system is transformed to new reduced-order standard system only with uncertain-variance fictitious noises. Applying the minimax robust estimation principle and classical Kalman filtering theory, the actual steady-state Kalman filter is presented in the sense that its actual filtering error variance is guaranteed to have the corresponding minimal upper bound for all admissible uncertainties. Applying the Lyapunov equation approach, the robustness of the presented actual steady-state Kalman filter is proved, which is also called as the robust steady-state Kalman filter. A simulation example about circuits system verifies the correctness and effectiveness of the proposed results.
WORKING IN GROUPS AT SECONDARY SCHOOL: CLUSTERING STUDENTS BASED ON THEIR INTELLIGENCE TYPES USING CLUSTERING ALGORITHMS

WORKING IN GROUPS AT SECONDARY SCHOOL: CLUSTERING STUDENTS BASED ON THEIR INTELLIGENCE TYPES USING CLUSTERING ALGORITHMS
تسوية معدلات الوفاة الخام باستخدام طريقة (whittaker - Henderson )

Abstract: This research aims to use the (Whittaker - Henderson) method, which is an (Nonparametric Method) for graduate, the crude death rates to obtain the smoothness and fitness death rates, because it is one of the most common methods for smoothing the crude death rates, for crude mortality rates. It has the capacity to explicitly balance the smoothness as well as the fitness of the smoothed curve relative to the crude rates through its parameters by minimizing a difference equation. Non-parametric methods depend only on the nature of the observed data. The crude central death rates for the single ages were smoothed and fitted using Whittaker-Henderson graduation technique by four assumptions through the program (R) and the third hypothesis was the best assumption of graduated for both males and females. The study recommended the important of graduation for the crude death rates and their smoothing to rid them of the irregularities resulting from the randomness in the 2 exposure and the number of deaths in order to facilitate dealing with these rates to complete the process of establishing death tables.
A Study On Various Methods For Building A Blockchain Development Environment: Focusing On Ethereum

AbstractBlockchain technology is emerging as a key infrastructure technology that will lead the fourth industrialrevolution, and blockchain promises to bring about revolutionary growth in almost all fields. Blockchaintechnology has the potential to lead social innovation that will improve the mutual harmony andunderstanding of the complex structures of human society as well as various phenomena (e.g.antagonism, confrontation, ideological conflict). It is also expected to be a very important infrastructuretechnology that can spur innovation in many fields of human society such as politics, economy, society,and culture. This paper provides an overview of the development environment and tools for developingand distributing the blockchain platform such as main terms, Remix, Truffle, Ganache, Metamask,blockchain as a service (BaaS) and other useful information. The paper also covers several configurationsfor the decentralized applications (DApp) of blockchain technology, which have been recently gainingmuch attention. In particular, we will focus on the Ethereum platform.
A REVIEW STUDY ON FACE GENDER RECOGNITION USING DEEP LEARNING

Today, automatic gender identification influences the usage of social networking websites and social media in various software and hardware. Despite this, the current system's performance with real-world face photos is poor, particularly when compared to the results of facial recognition tasks. Researchers showed significant interest in the field of soft biometrics to fill the gaps between humans and machines by increasing real-world application. Soft biometrics consist of gender, ethnicity, height, facials and so on. This study offers a detailed discussion on the role of researchers in deep learning in the field of gender classification. Deep learning and auto encoders are most of the labor. For an effortless interpretation of tabular correlation study, different parts relating to the neural network model are included, such as data set, findings, calculative metrics, and findings
THE USE OF DIGITAL TECHNOLOGIES IN PRIMARY SCHOOL LESSONS

Children are born and raised in a digital age that is evolving very rapidly, producing important changes in the educational process as well. School education must respond to the needs and desires of today's children, because they were born into a rapidly evolving digital age. Electronic resources, online content and virtual educational offer the latest and diverse information and opportunities for continuing education. The present article aims to identify the opinions of teachers and parents on the efficiency of using digital resources on teaching activities in primary education and the possibility of increasing its efficiency, as well as increasing the involvement of all students in their own learning. The research was conducted on a sample of 243 people, divided into several categories of subjects: 89 teachers, 98 parents and 56 primary school students from several schools in Prahova County, Romania. The following methods and techniques were used to collect the data underlying this research: the experiment performed on a group of preparatory pupils, the questionnaire-based survey and the interview with primary school teachers and parents. As results of our research, we can mention that the use of digital resources in primary school teaching activities is a useful form of learning, consolidating and verifying knowledge that stimulates imagination, interest, curiosity and contributes to increasing students' self-confidence. The presence of new technologies in the primary education process facilitates the practice of teaching in various and pleasant forms leading to quality school performance.
Maple Transactions−The Early Years

A vision statement for Maple Transactions giving our goals and plans for the first few years.
The Effect of Selection Factors on Customer Satisfaction in Hair Salons : Evidence from Customers with Different Enneagram Personality Types

The main purpose of this study is to investigate factors that affect the selection of and the satisfaction with hair salons and to examine the effect of the selection factors on the satisfaction factors by Enneagram personality types. In this study, the survey subjects were males and females in their 20s and 30s who lived in Seoul and Gyeonggi province. The most common Enneagram personality type was Type 2 (‘helper’). Reliability testing indicated that all included factors had αvalue greater than 0.6. There were 5 factors that affected the selection of hair salons and 3 factors that affected the satisfaction with hair salons. We used multiple regression analysis to examine the effect of the selection factors on the satisfaction factors by Enneagram personality types. The results indicated that the relation between the selection factors and the satisfaction factors depended on Enneagram personality type. Our results suggest that hair salons should plan their marketing strategies by considering the unique characteristics of their customers’ personalities.
EXPLORING HOW A GAME ANALOGY ENABLES AND/OR CONSTRAINS SENSE MAKING OF CHEMICAL EQUILIBRIUM CONCEPTS

Background: Chemical Equilibrium is one of the fundamental concepts in chemistry. Its mastery can facilitate the understanding of other topics such as acid-base reactions, oxidation-reduction reactions and so forth [1]. Yet, it is one the concepts that is abstract and difficult to comprehend [2], [3]. As a result, students have numerous misconceptions, which hinder or constrain meaningful learning. Some of these are associated with the everyday language related to these concepts such as ‘shift’, ‘equal’ and ‘balanced’ to mention a few. Purpose: There is a need to take account of misconceptions in science classrooms as they can negatively interfere with learning of scientific concepts [4]. It is acknowledged, however, that the difficulty in clearing of misconceptions is exacerbated in part by the selection of the teaching methods and strategies that Physical Sciences teachers use when mediating learning. Some scholars believe that visual analogies can be useful to help explain abstract concepts in science classrooms. It is against this backdrop that this study sought to explore how a game analogy enables and/or constrains sense making of Chemical Equilibrium concepts. Sample: The sample for the study comprised of 19 BEd (hons) Science Elective in-service teachers from Namibia studying through a certain university in the Eastern Cape, South Africa. During the time of the study, these in-service teachers were in their second and final year of study. Research design and methods: The study focused on exploring how a game analogy enabled and/or constrained sense making of Chemical Equilibrium concepts. A case study underpinned by an interpretive paradigm [5], [6] was adopted and the unit of analysis was sense making of reverse and forward reactions, the dynamic nature of Chemical Equilibrium as well as reversibility of the reaction as a concept. Data were generated using the in-service teachers’ completed worksheets and reflective journals.
Types of Indonesian Sentences by Ten Years Old Receptive Child

Sentence is very meaningful collection of word, where the sentence can state an idea or idea in full.sentence is a benchmark for child in their language skills. in writing it can be started with capital letter, end with a full stop, question mark, or exclamation mark.there are several types of Indonesia sentence that will be discussed namely declarative sentence, interrogative sentence, imperative sentence, and interjective sentences.a child is said to be receptive based on several criteria and indicators.This research conducted in a qualitative research, the source of the data from transcribe utterances conversation from daily activity.Technique of the data collection is recording, transcribing the sentence, verifying and classifying.this study found that ten years old child were more dominant in interrogative that is 26 data (34,6%) sentence and very minimal in declarative sentences that is 9 data (12,1%).
Layered Controllable Video Generation

We introduce layered controllable video generation, where we, without any supervision, decompose the initial frame of a video into foreground and background layers, with which the user can control the video generation process by simply manipulating the foreground mask. The key challenges are the unsupervised foreground-background separation, which is ambiguous, and ability to anticipate user manipulations with access to only raw video sequences. We address these challenges by proposing a two-stage learning procedure. In the first stage, with the rich set of losses and dynamic foreground size prior, we learn how to separate the frame into foreground and background layers and, conditioned on these layers, how to generate the next frame using VQ-VAE generator. In the second stage, we fine-tune this network to anticipate edits to the mask, by fitting (parameterized) control to the mask from future frame. We demonstrate the effectiveness of this learning and the more granular control mechanism, while illustrating state-of-the-art performance on two benchmark datasets. We provide a video abstract as well as some video results on https://gabriel-huang.github.io/layered_controllable_video_generation
THE INFOGRAPHIC LANGUAGE, ADAPTED TO UNIVERSITY TEACHING, AS A PEDAGOGICAL TOOL

M.A. Carabal-Montagud1, M. de-Miguel-Molina1, V. Santamarina-Campos1, J.M. Taroncher-Ballestero2 1Universitat Politècnica de València (SPAIN) 2Generalitat Valenciana (SPAIN)
Prediction-Awareness Edge User Allocating in Edge Based Intelligent Video Systems Driven by Priority

Recently, to mitigate tremendous damage caused by various accidents, edge-cutting technologies are utilised to protect lives and properties continuously. Specifically, edge based intelligent video systems have been proved to be an effective tool to monitor and regulate these public security accidents. In these systems, Edge User Allocation (EUA) problem focuses on allocating edge resources to various calculating tasks efficiently, which attracts much attention with multiple approaches proposed. However, in these existing approaches, the priorities of tasks and the varieties of these priorities are not fully considered. Furtherly, these tasks’ priorities are not immutable, which depends on these previous moving persons in the evacuation process. In this regard, we take these concerns into consideration and formulate a Priority-Awareness Edge User Allocation (PA-EUA) problem. Then, we propose our novel prediction-based approaches called UGP and CCGP. Lastly, three series of extensive experiments are conducted on a widely-used real-world data to evaluate our approaches against four representative approaches, and the results show that our novel approaches dominate the performances.
TANGIBLE PROGRAMMING IN TEACHING INITIAL PROGRAMMING TO PRESCHOOL AND EARLY-SCHOOL STUDENTS

Both teaching and learning programming is challenging. At the same time, many researchers suggest beginning teaching the basics of programming to children as early as possible. For example, programming is introduced as part of an elementary school's first-grade elective informatics course in Croatia. However, high expectations combined with difficulties during learning decrease motivation. For that reason, instead of motivating students to engage with programming as a skill required for a future occupation, they tend to give up. Therefore, it is imperative to choose a programming language and a development environment suitable for students' age. However, when teaching preschool and early school children the basics of programming, choosing a programming language and development environment is not enough since learning has to be fun. The teacher has to increase students' intrinsic motivation, leading to more active participation in teaching, which is essential to achieve good results during the learning process. This paper provides an example of a didactic tool developed and used for teaching programming by using gamification. Since we are talking about teaching programming preschool and early school children, the additional challenge is that they still have to develop reading skills. Taking all mentioned above, we have decided to use tangible programming as it allows students to learn the basics of programming and computational thinking without knowing the syntax of programming languages and without the use of computers. The main advantage of the presented tool is that the teacher or an enthusiastic parent can make it with minimum cost and effort. A web application was developed to support teachers during the teaching process, enabling them to present a problem solution to each student or whole class. The application also stores teaching scenarios used for teaching and emphasising various programming concepts.
Intelligent Evacuation System Model In Disaster Mitigation

Mitigation is part of the activities in the pre-disaster phase to prepare for the situation when a disaster occurs. Evacuation is one of the activities in mitigation that considers the evacuation location to minimize losses due to disasters. Damage due to the impact of disasters cannot be predicted a dynamic model is needed in handling evacuation activities. The dynamic model in solving the research problem refers to an intelligent system by combining the game theory model to determine the evacuation location as the N2 set and the Open Vehicle Routing Problem (OVRP) model for the selection of the evacuation route as the N1 set. The game theory model will complete selecting alternative evacuation locations by considering uncertain geographical factors when a disaster occurs. To mobilize those affected at a predetermined evacuation location, an evacuation route is needed, which is completed by making an Open Vehicle Routing Problem (OVRP) model to optimize travel time. Integrating the two models produces a new model with the development of the Intelligent Evacuation System concept.
Liveboard Media Development in Learning <i>Réception Ecrite Débutante</i>

This study aims to test the feasibility and develop Liveboard Media into a learning video product and study room containing Se Presenter material (Introducing yourself) in French.The method used in this research is the Research and Development method.In this study using 3 stages, namely Analyze, Design and Development.The results of this study indicate that the development of liveboard media in Réception Écrite Débutante learning is considered appropriate/good by showing an average score of 82.7%.
Double Layer Key Protection Security Algorithm for Big Data in Cloud

Internet takes a primary key role in the world nowadays. In Every second the massive data is being materialized from the internet and this to be persisted in the cloud. Confidential and secured data persisted in the cloud. security is being concerned in the world over big data in the cloud.So, we need to store large, complex and confidential data in the cloud so that we have to provide high level security on the data. To enhance security level we have many security algorithms and policies. Even if we have multiple algorithms for security the intruders keep on trying to pull the data from the cloud. This paper introduces a new security algorithm to provide better security for informationat the cloud. So the new anticipated algorithm gives a high level of security rather than existing algorithms in all aspects of security.