Reviewerly/exHarmony huggingface dataset:
Development of the teachers’ creative competence by means of the development and implementation of an individual project

This article reveals the problem of the development of the teacher’s creative competence. It also describes the pedagogical support for the development of the teacher’s pedagogical creativity. A brief overview of issues related to the definition of the essence of pedagogical creativity, its specificity, and indicators is given. The study presents the substantiation of the problem proves its relevance for the development of the teacher’s creative competence. The article presents the results of a comparative analysis of the development of the teacher’s creative competence on the basis of Reshetnev Siberian State University of Science &amp; Technology (Krasnoyarsk) and Krasnoyarsk State Pedagogical University named after V.P. Astafyev (Krasnoyarsk).
Adoption of Koha Integrated Library System (ILS) for the Automation of Umaru Musa Yar’adua University Library, Katsina, Nigeria: Problems and Prospects

This study attempted to explore the gradual advancement of modern technology in libraries, it distinguished old and new innovations, creative efforts of librarians and information technologists through the various generations of automation revolution. The study also identify various components of the Integrated Library System (ILS) or Library Management System (LMS) which are used or being used in Umaru Musa Yar’adua University (UMYU) library as well as the services automated by the system. The study also identifies the exact reasons for adopting KOHA in UMYU library. It also explains the impact, challenges associated with the University library automation system. The study adopted quantitative approach as research paradigm; with survey as research methods. Questionnaires were the instrument used for data collection. The population of 42 library staff was used for the study. The data for the study were analyzed using tables and frequencies. From the findings of the study the two main services fully automated were the Circulation and Cataloguing, the library adopted the use of the KOHA ILS as it was a free open source and secondly for greater opportunities and innovation. However, retrospective conversion and Low Level of Literacy were the major challenges and a setback for the KOHA ILS implementation in the library understudy. The study recommended the need for the increase investment in the automation project to speed up the implementation of automation systems.
DAMPAK PEMBELAJARAN DARING SELAMA PANDEMI COVID-19 BAGI SISWA SEKOLAH DASA

This study aims to describe the impact of online learning during the Covid-19 pandemic for elementary school students. This type of research is library research using data sources from books, journals and internet sites related to the selected topic. The results showed that online learning can help learning activities as long as students learn from home. Apart from the advantages that online learning has, various challenges are also found by teachers and students in learning. A common problem relates to the signals and learning devices used in online learning.
Analisis Data mining dengan Metode C.45 pada Klasifikasi Kenaikan Rata-Rata Volume Perikanan Tangkap

Increasing the amount of demand for natural resource needs is increasing. One of them is natural resources in the sea and coast. The current condition of capture fisheries in Indonesia is not yet optimal. This is indicated by the increase in the volume of capture fisheries production which is very slow. The purpose of this study is to make data classification for the prediction of the average volume increase in capture fisheries with data mining techniques. Data mining techniques are applied to determine the data patterns of the capture fisheries dataset, so the results of the classification can be applied to evaluate the factors that affect the volume of capture fisheries. The classification algorithm used is C45. The results of the classification were tested with rapidminer in classifying data. The level of performance is indicated by the accuracy value. The accuracy value is obtained by testing the results of the classification of training data and testing data. Comparison of accuracy values between the algorithms used can be seen the best algorithm in making the classification of capture fisheries data.
CURRENT PROJECTS OF EDUCATIONAL DOMAIN: FROM MASK EXPANSION TO LIVE BREATHING

Тhe paper presents the results of the study of the anthropological perspectives of the new vocational/professional school didactics. It analyzes the content (regularities, principles, forms, methods and criteria) of an enant postmodern education theory focused on self-centred individualism encouraging the future specialists’ reflection on the expediency of a peculiar machine kenosis, namely, transgression into the body of transformer, cyborg, robot-android. As an alternative, the author’s model of performative conception of professional training is introduced. The concept implies future specialists’ activity above the situation in the moral and meaningful mediation of the organizational principles of complex metasystems, atopic metaxis phenomena in Humanities and Science. The systematic thinking methodology of the proposed research has applied semiotic, phenomenological and hermeneutic approaches, methods of coherent modelling and expert evaluation of the theory of conceptual integration, the connective theory of metaphorical interpretation, the conception of non-linear epistemology, the principles of antinomy, verification, complexity, disjunctive synthesis. The scientific novelty of the paper lies in revealing the strategies of implementing performative higher school didactics and the metanoia technique for their realization in the process of metaphorical cognitivistics.
FABRICATING EXPERIMENTAL EQUIPMENT FOR TESTING GAS LAWS FOR TEACHING AND LEARNING "IDEAL GAS" - GRADE 12 PHYSICS, NATIONAL HIGH SCHOOL PROGRAM 2018

In this study, we fabricated the experimental equipment for testing gas laws, using eco-friendly and easy-to-find materials. The equipment was able to test, with relatively high accuracy (error less than 1%), the gas laws and demonstrate the state equation of ideal gases. The findings reveal that the equipment and similar experiments can be adopted for teachers’ modeling activities as well as students’ experiments, or teachers can guide their students to fabricate their own equipment as a STEM experience while teaching the topic “Ideal Gas” – Grade 12 Physics, the national high school program 2018.
Aplikasi Pembelajaran Anatomi Tubuh Manusia berbasis Android untuk Siswa Sekolah Dasar

SDN Beji Timur 3 is an elementary school in the Depok area. The delivery of cognitive learning material in this school using conventional methods has an effect on the effectiveness of student learning at school. Learning activities have two important elements in the form of teaching methods and learning media and the two are interrelated. The process of selecting teaching methods is also adapted to the learning media. Several aspects need to be considered in relation to the objectives of learning activities, types of tasks. Another aspect is the response of students during learning activities including student characteristics. Learning media has the main function as a tool for educators to teach that is influenced by climate, conditions, and the environment. Efforts to improve effective learning methods to accelerate the learning process so that learning materials are delivered interestingly at the right time. This study answers this learning problem by creating an Android-based learning media application to explain material about the introduction of human anatomy.
DEVELOPING ENGLISH DIGITAL CONVERSATION MEDIA FOR SPEAKING ACTIVITIES BASED ON TASK-BASED LEARNING

DEVELOPING ENGLISH DIGITAL CONVERSATION MEDIA FOR SPEAKING ACTIVITIES BASED ON TASK-BASED LEARNING *Astry Iswara Kelana Citra **Dr. Anni Holila Pulungan, M.Hum. **Maya Oktora, S.Pd., M.Hum. ABSTRACT Astry Iswara Kelana Citra 2152121005 Citra, Astry Iswara Kelana. Registration Number: 2152121005. Developing English Digital Conversation Media for Speaking Activities Based on Task Based Learning. A Thesis. English Educational Program, State University of Medan, 2020. This research was aimed to develop English digital conversation media for speaking activities based on the students’ need at SMAN 1 Kec. Binjai Kab.Langkat. This research was conducted by using Research and Development (R&amp;D) method. There were seven steps applied in this research, the steps were: 1). Potential and Problem 2). Gathering data and information 3). Product design 4). Validating to experts 5). Revising Design 6). Product test 7). Final product revision. The subject of this research was tenth grade students of social science at SMAN 1 Kec. Binjai Kab. Langkat. The instruments of collecting data were questionnaires and interview. The data analyzed by using descriptive technique. Need analysis questionnaire was calculated using percentage by Suharto (2006) to get an information of students’ need before developing digital conversation media. Expert judgment data were calculated by using Likert Scale, mean and criteria interval of expert judgment to know the validity of digital conversation media which has been develop. The result of expert validation was 4,5 which mean English conversation media is Very Good category. Therefore the media is appropriate to use in the tenth grade students of SMA N 1 Kec.Binjai Kab.Langkat to teach speaking. Keywords: Research and Development, Digital Conversation Media, Task Based Learning.
GIP3: Make Privacy Preserving be Easier on Cloud

The lack of data privacy preserving tools in the cloud is an urgent issue to solve today.To meet the needs of data sharing and data publishing, this paper proposed a cloud-oriented privacy preserving framework, in which we designed and implemented a SaaS data privacy preserving platform, called GIP3 (General Web Data Interface -Privacy Preserving Protocol).This platform supports a variety of mainstream privacy preserving approaches, and users can use them to implement data privacy preserving and evaluate the utility of data with different information loss metrics.This platform integrates with an general web data interface to perform a cloud-oriented multi-tenant data management, which provides a complete data service chain from system construction, collection, management and maintenance, privacy preserving, to publishing.In a word, it makes data privacy preserving be easier on the cloud.
Comparison of the Efficiency of Aes Implementations on Major Web Platforms

In this paper, the authors present an experimental study covering the evaluation of the average encryption and decryption times using different programming languages for the Web.This study covers the use of the most commonly used AES implementations for four major Web programming and scripting languages: Java, Node.js,PHP and Python.The aim of the study is to determine the cost of encrypting and decrypting data on these platforms, expressed as type per byte of data.The experiment covers data encryption and decryption with the AES algorithm in the CBC mode with 128-bit, 192-bit and 256-bit keys.In this paper, we present the results and pros and cons of use of the AES algorithm implementations on these major Web platforms.
INPUTING STUDENTS’ SCORE BASED ON GIST FEATURES, SUPPORT VECTOR MACHINES AND TESSERACT

Handwriting recogination plays an important role in data inputing and processing in the practice. This attracts much attention of many researchers in different fields. In this paper, a new algorithm is proposed by basing on GIST features, Support Vector Machines (SVM) and Tesseract for entering the score on students’ transcript form at Soc Trang Vocational College. The algorithm consists of two main works, i.e., recognizing students’code and recogziing handwritten digit. In the proposed algorithm, all regions of interest are determined and extract their dictint features with using tesseract and GIST. Then, these features are classified by SVM mechanism. Experimental results demonstrated that the proposed algorithm obtained high performance with accuracy up to 96,57% for students’ code and 93,55% for Handwritting scores. Average time was 7,9s per one transcript.
PROFESSIONAL AND PEDAGOGICAL TRAINING OF THE FUTURE TEACHER IN THE LIGHT OF THE HISTORICAL AND CULTURAL APPROACH

The article deals with the issues of professional and pedagogical training of the future teacher in the light of the historical and cultural approach. The authors revealed the essence of the concepts "culture"," culture intensity " and touched upon the problems of the historical-genetic method when considering culture-oriented learning. The article presents the principles of cultural - oriented content of pedagogical education, pedagogical conditions for the implementation of the cultural approach in the course of professional and pedagogical training of teachers. The article is aimed at the implementation of pedagogical education, which makes it necessary to implement a historical and cultural approach to the selection of content.
KORELASI ANALISIS WACANA KRITIS DENGAN KARANGAN BEBAS SISWA KELAS IV MIN 2 SLEMAN YOGYAKARTA

This study aims to look at the correlation between Critical Discourse Analysis and Free Essays of Class IV MIN 2 Sleman Yogyakarta students. This research uses quantitative research methods. The researcher distributed questionnaires to all grade 4 students because the papulation class did not reach 100 students, so the researchers chose all students to be sampled in this study. Therefore, the population in this study is also a research sample to collect quantitative data. The result of simple correlation analysis obtained the correlation between Critical Discourse Analysis with Free Essay Writing Skills is 0.295. This shows that there is a fairly strong relationship between Critical Discourse Analysis with Essay Writing Skills. While the direction of the relationship is positive because the value of r is positive, it means that the higher the Critical Discourse Analysis, the more the students write essay writing skills.
A Computational Method for Histological Bone Research using Convolutional Neural Networks

Histological bone research, which involves measuring the characteristics of a bone (in this paper, we consider exclusively the boundary perimeter (bone perimeter, B.Pm), cross-sectional area (bone area, B.Ar), width (cortical width, Ct.Wi)), has been greatly enhanced by advanced medical imaging like the computed tomography (CT) scans, which has made it possible to get cross-sectional images (or slices) of different areas of a bone.The long bone, which is the major focus of our research, is divided into three parts according to its structure: diaphysis, metaphysis, epiphysis.Efficiently measuring the bone metrics mentioned above relies on being able to differentiate these areas from one another, since the different regions require unique approaches.For example, the diaphyseal region consists completely of the cortical bone and therefore obtaining the bone metrics is not perplexing.On the other hand, when it comes to the area of the metaphysis, and especially epiphysis, it becomes more difficult to distinguish the cortical bone from the spongy bone, and so the task of extracting the bone metrics is hampered.In this paper, we propose a fully automated solution for histological research of diaphysis.For this we designed and trained a convolutional neural network-based model to classify the cross-sectional images.Furthermore, we created computational methods to extract the bone measurements and applied them to bones classified as "diaphysis".
On the Use of Causal Rules to Specify How Trust Impacts Change in Knowledge and Belief

We are concerned with models of trust, and the way that trust impacts changes in knowledge and belief.In order to address this problem, we consider transformations on Kripke structures in modal logic.We start with simple trust rules that specify how reported information impacts the truth of a modal formula.Trust rules are defined with respect to a particular source.So an individual trust rule basically indicates when a source's reported information will cause the truth value of a modal formula to change.In the context of epistemic logic, this means that a trust rule indicates when a report will affect the knowledge or belief of the recipient.We demonstrate how a set of trust rules defines a model transformation in which the underlying accessibility relation is modified to ensure all rules are satisfied.This transformation captures how much the underlying source is trusted to impact the recipients perspective on the world.Model transformations of this kind are commonly used to capture belief change in Dynamic Epistemic Logic.What is distinct in our approach is that we show how simple rules can give a compact and flexible specification of trust in an information source.Our approach is also general, in the sense that we consider arbitrary modal change, which means we can capture different conceptions of knowledge and belief.We compare our approach with related work, particularly on the formaliziation of sensing actions.Future directions and applications are also considered.
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract)

We proposed Image2Vec, an unsupervised algorithm that learns feature representations for variable-size pieces of Chinese character images.
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies

A vital part of any good strategy for most imperfect-information games is making predictions about the information that is unavailable. For example, in card games like Poker and Gin Rummy, predicting the kinds of cards the opponent is holding is necessary for playing well. Specifically, it is useful for agents to be able to map the partial game states that are made available to them to the probabilities of each of the possible complete game states, given that they are playing against other rational player(s). Finding this relationship, however, is difficult, as it requires knowledge of how a rational player would play, which is the problem this relationship is being used to solve. In this paper, we attempt to find this relationship in the context of the card game Gin Rummy, though instead of predicting the complete game state, we focus on what is most useful to a player: the opponent's hand. We do this by using heuristic utility functions to create an agent that approximates how a rational player would play, and then using the resulting game data to train a Deep Neural Network mapping known information to predictions about the opponent's hand. This model is used to improve the existing agent and, in turn, to produce more data to create better models.
Tipologi Latihan Pada Bahan Ajar Bahasa Jerman Kelas XI

Abstract. The objectives of this study are (i) to describe exercise typology in books of title “Cool: Spaβ beim Deutschlernen” and “Kontakte Deutsch Extra”; (ii) to describe the suitability of exercise typology in both of the books with Curriculum 2013. This research applied descriptive qualitative method. The data were collected through documentation and direct identification using classification table of typology exercise and describe the suitability of the exercises and the curriculum of 2013. The result of the research shows that: (i) the exercises in “Cool: Spaβ beim Deutschlernen” and “Kontakte Deutsch Extra” have already include the four levels exercises by Neuner, those are on the level A of the book “Cool: Spaβ beim Deutschlernen” there are 41 exercises and 137 exercises in the “Kontakte Deutsch Extra”. On the level B, there are 44 exercises in the book “Cool: Spaβ beim Deutschlernen” and 103 exercises in the “Kontakte Deutsch Extra”. For the level C, there are 22 exercises of the book “Cool: Spaβ beim Deutschlernen” and 48 exercises in the “Kontakte Deutsch Extra”. For the level D, there are 6 exercises in the book “Cool: Spaβ beim Deutschlernen” and 5 exercises in the “Kontakte Deutsch Extra”; (ii) the exercises in “Cool: Spaβ beim Deutschlernen” and “Kontakte Deutsch Extra” are already suitable with the four language skills and scientific approach in curriculum 2013.
Payload and quality augmentation using steganographic optimization technique based on edge detection

Information security is one of the most significant processes that must be taken into account when confidentially transferring information. This paper introduces a steganography technique using the edge detection method. It focused on three basic and important aspects’ payload, quality and security. Well-known edge detectors were used to generate as many edge pixels as possible to hide data and achieve the highest payload. The least significant bit (LSB) algorithm has been improved by extending the bits used to embed between 2-4 bits in smooth and sharp areas. To increase security, the transaction between the two parties is based on dividing the key and the cover image into several parts and agreeing on the type of edge detection.The experiments achieved the maximum load, for instance with a fuzzy edge detector, at first, embedding in 4 bitplanes if edge pixel and in 2 bitplanes if non-edge pixel, the peak signal-to-noise ratio (PSNR) increased from 43.580to 45.790. At second, embedding in 2 bitplanes if edge pixel, and in 4 bitplanes if non-edge pixel, the PSNR decreased between 38.433-41.593. The suggested scheme achieved a high pay load to embed in the cover image and according to human perception, it preserved the nature of the original image.
THE CHALLENGES OF SECURITY THREAT IN NIGERIA CYBERSPACE

This research work was conducted to examine critically and systematically cyber threat intelligence challenges and prospects in Nigeria. It judges the value and relevance of cyber threat intelligence in the society where they are lacking in providing necessary information. Dealing with these challenges that may cause threat intelligence to be useless has become a major concern to Nigeria. The work was intended to achieve the following objectives: to examine the nature of cybersecurity in Nigeria, to analyse the cybersecurity threats that can disrupt the functioning of the country, to identify the challenges facing the Nigeria cyberspace and the conduct of a cyber threat intelligence analysis, to discuss the means by which cyber threat can be used to boost Nigeria’s National Security Policy, to make recommendations to preserve important intelligence capabilities while ensuring the protection of its critical infrastructures through the use of threat intelligence. The scope of the study was limited to the period 2009 – 2019. The research was analytical. Relevant data were collected from both primary and secondary sources of data. The data analysis used the percentage instrument and the following conclusions were drawn: that threat data overload, threat data quality, privacy and legal issues and interoperability issues are some of the challenges of cyber threat intelligence; also, the need to continually invest in research, build local cyber threat management infrastructure and enhance the ability to anticipate, detect, respond and contain information security threats is very crucial. Nigeria