Reviewerly/exHarmony huggingface dataset:
STRATEGIES AND CRITERIA FOR FOREIGN LANGUAGE READING MATERIALS SELECTION

Reading is of great importance for the modern educational process, as it opens access to leading sources of information, expands people’s outlook, etc. Naturally, reading as a communicative skill and a means of communication is always used at the FL classes. However, the foreign language competence of most Ukrainian teachers remains insufficient. The purpose of the article is to single out the strategies and criteria for selecting the educational material to improve the level of teachers’ foreign language competence in reading. Thus, the current study presents the criteria for selecting the foreign language texts for reading in a due regard to educational, psycholinguistic, linguistic, technical, socio-cultural aspects, with an appropriate set of options for each of them. The strategies of selecting foreign language texts, offered in this research, are relevant to the current tendencies prevailing in the formation of foreign language competence in reading. They include focusing on the topic envisaged by the curriculum and the objectives of the FL class; fixing linguistic, speech, sociocultural aspects that are necessary for the class; applying different ways of highlighting / marking the lexical units and grammar structures; enlarging fonts; providing audio support for students with special educational needs (visually impaired students). The developed strategies and criteria suggest that students with special educational needs should also be able to use the texts. With the aim of determining the level of Ukrainian teachers’ foreign language competence in reading, a survey was conducted, which has enabled the authors to вуеукьштуt the peculiarities of teachers’ work with foreign texts, the lack of foreign texts that contain topics on various literary genres and reveal a sociocultural component. Eventually, the article offers certain approaches to the adaptation of foreign texts in terms of the learning objectives and students’ communicative needs. The srrategies and criteria, developed and proposed in this study, are a significant extension of the already existing tools that take into account new challenges in modern methods of foreign languages teaching. The prospective areas of further research are the study of the reading materials search engines and their effect on teachers’ foreign language competence in reading.
FORMATION OF PROFESSIONAL COMPETENCE IN FUTURE TEACHERS

The current state of the education system does not always contribute to the quality training of future teachers at the stage of their education in an educational institution. The relevance of the stated research topic is determined by the urgent importance of the formation of professional competencies of future teachers in the process of their education at higher pedagogical education institutions, as a factor that determines the success of their further professional activities. The purpose of this research is to determine the main criteria influencing the process of forming professional competencies of future high school teachers, directly at the stage of laying the foundations of their training, as well as the process of practice in real high school and at the stage of direct entry into the profession. The leading methodological approach in this research work is a combination of methods of systematic analysis of the process of formation of competence of the future teacher at the stage of his/her education at a higher education institution, with the analytical study of prospects for professional competence of future teachers in the process of direct entry into the profession and the gradual mastery of pedagogical skills. The results of this research clearly demonstrate the importance of forming professional competence in future teachers at the stage of their education at a higher education institution, in terms of understanding the basics of the teaching profession and creating in future teachers the right level of motivation to perform their professional duties in the future. The results and conclusions of this research are of great practical importance for future teachers who learn the basics of professional skills at the stage of higher education, as well as for employees of the education system interested in improving their own professional competencies.
Expert System To Diagnose Pregnancy Diseases In Women Using Naive Bayes Method

Expert system is a system that uses human knowledge, where the knowledge is entered into a computer, and then used to solve problems that usually require human expertise or expertise. In this case the expert system is used to diagnose pregnancy diseases in women. Pregnancy disease is a condition in which there is a disturbance in pregnancy or the fetus in the womb. An expert system for diagnosing pregnancy diseases in women is an expert system designed as a tool for diagnosing types of pregnancy diseases. Computer programs are intended to provide aids in solving problems in certain areas of specialization such as pregnancy problems in women. This knowledge is obtained from various sources including books and the internet related to the causes of pregnancy in women. The knowledge base is structured in such a way as to become a database with several disease tables and symptom tables to facilitate system performance in drawing conclusions on this expert system using Naive Bayes. This expert system will display a choice of symptoms that can be selected by the user, where each symptom choice will read the user to the next symptom choice to get the final result.
Implementation Of Data Mining Grouping Of Old Age Guarantee (Jht) Based On Region In Pandemic Period

During the COVID-19 pandemic, many companies experienced a decline or went bankrupt, so they had to reduce the number of workers and even close the company. BPJS Ketenagakerjaan is a public legal entity that is responsible to the president and functions to administer four programs, namely Work Accident Insurance (JKK), Death Insurance (JKM), Old Age Security (JHT), with the addition of the Pension Guarantee program ( JP). One of them is the submission of claims from too many participants of the Old Age Security program from various regions, especially the Langkat sub-district, so that it becomes a big problem to provide good service or information for the participants. For this reason, the author tries to create a system to support a computerized grouping process that can help automatically classify JHT claims by region, so there is an opportunity to design a grouping data mining system in it. Data mining is a process of mining data in very large amounts of data using statistical, mathematical methods, to utilize the latest artificial intelligence technology. Clustering is a method that is applied in creating a grouping data mining system to make it easier for employees to group JHT by region. Based on the analysis that has been done in the grouping of old-age insurance data using the clustering method, it is necessary to do the cluster process several times to get the same results according to the process that was first carried out, namely in cluster 1 : 2 3 2 cluster 2 : 2 8 2, cluster 3: 2 13 2 with 545 data in cluster 1, 308 data in cluster 2 and 421 data in cluster 3.
THE APPLICATION OF LITERATURE TO TRAIN THE STUDENTS’ CRITICAL REASONING IN SDS JAI NALANDA, JAMBI CITY

This study aims to describe the application of literacy in training students in class II SDS Jai Nalanda Jambi City. This research is a qualitative research and with descriptive analysis. The informants in this study were class II teachers. The results showed that several stages carried out by class II teachers at SDS Jai Nalanda Jambi City consisted of three stages, namely 1) Mini Lesson Stage which included apperception and strategy demonstrations, 2) Conferring Stage was the application of strategies and discussions in pairs/groups and questions. lighter 3) Sharing stage, namely the stage where students make presentations on the results that have been obtained and provide responses to one another. In training students to think critically, the teacher uses books as the main source in learning with critical questions.
Perancangan Aplikasi Sistem Informasi Akuntansi Laporan Keuangan Menggunakan Microsoft Access 2016

Cahaya Printing is a company engaged in printing services and is located in Bandung. Financial reports are important information for internal and external parties. The purpose of this study is to identify and identify the weaknesses of the companys accounting information system, as well as to design the application of financial statements according to the needs and to know the implications. The research method used is a qualitative method with a case study and development approach. Microsoft Access 2016 as a design tool as well as document flowcharts and DFD as tools for the flow of the system. Recording and reporting in the company already uses Microsoft Excel, the results of the design of financial report applications in the form of a list of journal transactions, a list of general ledger transactions, trial balances, income statements, reports of changes in equity, statements of financial position, cash flow statements, cash income and expenditure reports, and a list of charts of accounts. This application is also considered more effective and efficient in overcoming problems related to the previous system
Perancangan Sistem Informasi Akuntansi Pokok Pada CV. Kekha Mustika

CV. Kekha Mustika is a manufacturing company located in Cimahi City, the company's activities are producing kitchen sets. Recording is done is still simple and has not applied the applicable accounting principles. The background of the owners and employees is one of the obstacles so that the company has not improved the recording system which has shortcomings. This study is intended to design a basic accounting information system in the company. This study uses a qualitative descriptive method and has four stages of the process. The first stage is system analysis, the author analyzes the system that applies in the company, the second stage is making a proposal for the design of the basic accounting system based on the company's needs, the third stage is testing, and the last stage is the implementation of the system design that has been made. This research shows that CV. Kekha Mustika does not yet have a proper system, so there is no financial information that can be used by stakeholders. The results of this study are the proposed design of the basic accounting information system which includes proposed systems/procedures, document designs, financial reports, and examples of implementation applied to the company.
Prediksi Jumlah Kasus COVID-19 Menggunakan Teknik Sliding Wondows dengan Metode BPNN

COVID-19 is a disease that attacks the respiratory system caused by the coronavirus. The spread of COVID-19 has made the world restless, including Indonesia. Forecasting the number of COVID-19 cases in Indonesia needs to be done because it is expected to prevent or reduce the number of COVID-19 cases in Indonesia. One of the methods used in this research is to predict the number of COVID-19 cases using Backpropagation Neural Network and Sliding Windows by utilizing daily historical data on the number of COVID-19 cases in Indonesia. The data used in this study is historical data on the number of cases from March 2020 to April 2021. The historical data for the addition of the number of cases is displayed using the Sliding Windows concept approach based on the window sizes used, namely 2, 3, 4, and 5. Windows size reflects the number of days as an input layer variable on the Backpropagation architecture to predict the number of cases the next day. The prediction results obtained with the smallest Sum Squared Error value in network testing is 0.69 as a high predictive accuracy value. The network architecture with the smallest SSE using 3 input layers, 6 hidden layer neurons, and 1 output layer can be knowledge that can help the government in predicting the number of COVID-19 cases in Indonesia in the future.
Rancang Bangun Website Kebun Raya di Dinas Kominfo Kabupaten Gianyar

The development of technology is so rapid that we as humans must keep pace with the rapid development of technology and switch from conventional methods to more modern ways. The development of technology today is very helpful for human life, one of which is the internet. Almost everyone is currently connected to the internet because of the ease with which information can be obtained via the internet. The internet today as one of the existing information facilities is very influential for the dissemination of information through technology called a website. Especially in the field of tourism, web-based information systems are very important as a media for promotion and information to support the advancement of tourism. Like the Gianyar Botanical Gardens, which is located in the Banjar Pilan Banjar, Kerta, Payangan, Gianyar Regency. This area is still not widely known due to the limited information available. limited information due to still using media posters, billboards, and brochures for media promotions, so the lack of coverage that can be reached from these media in addition to the amount of energy and costs required. So from this research it can be concluded how to disseminate information to a wider audience by using a website-based information system in this design using a waterfall-based system development media.
Analisa Prediksi Time Series Jumlah Kasus Covid-19 Dengan Metode BPNN Di Bali

The COVID-19 pandemic has not yet subsided. This epidemic has spread to almost all countries in the world. In Indonesia, especially in the province of Bali, which experienced a large number of additional positive cases, recoveries and deaths from COVID-19, an analysis was carried out. The purpose of this analysis is to be able to obtain accuracy in predicting the addition of COVID-19 cases, recoveries and deaths in the province of Bali, predictions are made using the covid-19 time series data used in making predictions. what was done obtained the best and not good prediction accuracy, prediction using one input and one output obtained the best precision model accuracy of 72% and for poor accuracy using three inputs and one output with a prediction model accuracy of 33% in the process Covid-19 predictions in Bali.
Research on Multidimensional Teaching Practice of EFL Students’ English Vocabulary From the Perspective of Educational Information Technology

In the traditional teaching process, teachers guide students to learn vocabulary in English classroom.With the development of modern science and technology, the informatization of English learning has become an irresistible trend.By integrating more digital teaching resources into traditional education and teaching and forming a new teaching scheme with the deep integration of English classroom and information technology, students can feel the interest, diversity and practicability of English vocabulary from multiple angles.Starting with vocabulary teaching, this paper introduces some problems in current English teaching and the direction to deal with them.This paper expounds the importance of vocabulary learning to English learning and teaching from three aspects: comprehensive language ability, academic achievement and learning approaches.This paper discusses the practical value of the combination of educational technology and classroom education, and demonstrates that the integration of educational technology is the direction of English classroom development from three aspects: classroom effect, learning materials and student supervision.Making good use of information technology is conducive to English teaching.
Neural Network Implementation on Bias Correction of Sea Surface Temperature Forecast

This article introduces the implementation of neural network on making sea surface temperature forecasts more accurate.We manage to utilize LSTM neural network and intended to make comparisons with other networks such as Backward propagation network.We improve the accuracy of prediction by doing bias correction, the detailed solution will be illustrated as follows.
Shape Grammar for Cane Webbing Design

Shape grammar for cane webbing design is the way of seeing and doing it.The utilization of cane webbing, which is usually for furniture design, has potential use in the implementation of architectural design.When traditional handcrafters make cane webbing on a plane of furniture, the design can be generated and developed into a more complex architectural form.Shape grammar unfolds the possibility of exploring creativity in the design process and computational thinking.Hence, this research explores cane webbing from two-dimensional planes into threedimensional forms.In this paper, the three-dimensional must have at least two planes where the application of cane webbing is attached to the plane.The first step is defining shape relation and shape rules of cane webbing design on a plane.After we determine the cane webbing grammar, we can apply it into a three-dimensional form, which opens possibilities and creativity for architectural design.In the end, this paper aims to combine craft and digital ways of cane webbing design into architectural design applications using shape grammar.
Online Services and Data Processing Software for Pedagogical and Social Research

In the presented article, an attempt was made to present a conditional set of services and programs that allow the collection, systematization, statistical processing of data and presentation of results, including visualization (graphs, tables of results, charts, etc.). It is noted that the main trend in the development of modern services is their complexity. As a rule, several operations can be performed using one service (data collection, their primary mathematical processing, visualization, etc.). Therefore, all classifications of such services are rather conditional. A review of certain online services and software packages for capturing, processing and storing data from pedagogical and social research was carried out: Google Sheets, Google Forms, Microsoft Office Excel, STATISTICA, SPSS, online calculators, etc. The advantages and disadvantages of using these services are outlined. It is noted that the use of ICT in pedagogical and social research improves their quality and compliance with modern requirements for the processing of experimental data.
Use of Potential of Social Networks in Formation of Critical Thinking of Higher Education Students

The article identifies the possibilities of using social networks as a means of forming students’ critical thinking in modern conditions of informatization of society. Standard and non-standard ways of developing critical thinking in students with the help of social networks are outlined. Possibilities of using social networks within the problem of forming students’ critical thinking are presented as a universal form for simultaneous solution of such areas of work as patriotic, moral, aesthetic education, organization of professional and cultural-educational activities, formation of culture of self-knowledge and self-regulation, culture of healthy lifestyle and leisure, etc. It is noted that social networks as a means of forming students’ critical thinking are a tool of informal practices in modern informatization of society, which is a kind of creative individual and collective self-expression, promotion and implementation of various projects, expression and argumentation, development of social intelligence, information and psychological culture of users, taking into account the requests of the student audience.
Virtual Learning from Sketching Community

Virtual learning has become a reliable learning alternative during the Covid-19 Pandemic.One of them is learning to draw sketchers in the sketch community.The sketch community that usually uses public space to gather is now switching to using virtual public space.This paper aims to explain the pattern of virtual learning in a sketching community that learns together in drawing for architecture students.The method used by collecting secondary data and participating in activities carried out by the four communities studied during the pandemic period, ang conducting questionnaires to students about virtual learning in the sketch community.The results obtained from this study indicate that student enthusiasm in sharing experiences and joint activities in the community can help selfdevelopment in independent learning.It refers to developing the ability to draw sketches.
Faucets

You can use faucets to test smart contracts on the test network with no need to use real ether for this purpose (because ether from the mainnet is not valid in testnets, and vice versa). Ether in a test network has no real value except for testing purposes in smart contracts development.
Improved Graph Convolutional Neural Network for Dance Tracking and Pose Estimation

Movement recognition technology is widely used in various practical application scenarios, but there are few researches on dance movement recognition at present. Aiming at the problem of low accuracy of dance movement recognition due to complex pose changes in dance movements, this paper designed an improved graph convolutional neural network algorithm for dance tracking and pose estimation. In this method, the spatial and temporal characteristics of motion are extracted from the skeleton joint diagram of human body. Then, GCN (graph convolutional neural) is used to extract potential spatial information between skeleton nodes. Finally, LSTM (long short-term memory) extracts the time series features before and after human actions as a supplement and performs late fusion of the prediction outputs of the two networks, respectively, to improve the problem of insufficient generalization ability of single network. The experimental results show that this method can effectively improve the accuracy of dance movement recognition in general movement recognition data set and dance pose data set. It has certain application value in dance self-help teaching, professional dancer movement correction, and other application scenarios.
Pose Estimation

Human pose estimation (HPE) is a computer vision task that detects human poses by estimating major keypoints, such as eyes, ears, hands, and legs, in a given frame/video. Figure 6-1 shows an example of human pose estimation in action.
CoGANet: Co-Guided Attention Network for Salient Object Detection

Recent salient object detection methods are mainly based on Convolutional Neural Networks (CNNs). Most of them adopt a U-shape architecture to extract and fuse multi-scale features. The coarser-level semantic information is progressively transmitted to finer-level layers through continuous upsampling operations, and the coarsest-level features will be diluted, resulting in the salient object boundary being blurred. On the other hand, the hand-craft feature has the advantage of being purposive and easy to calculate, in which the edge density feature may help improve the sharpness of the salient object boundary by the rich edge information. In this paper, we propose a Co-Guided Attention Network (CoGANet). On the base of the Feature Pyramid Network (FPN), our model implements a co-guided attention mechanism between the image itself and its edge density feature. In the bottom-up pathway of FPN, two streams separately work, taking the original image and its edge density feature as inputs, and each producing five feature maps. Then the last feature map in each stream generates a set of attention maps through a Multi-scale Spatial Attention Module (MSAM). In the top-down pathway, the attention maps of one stream are directly delivered to each stage in the other stream. These attention maps are fused with the feature maps by an Attention-based Feature Fusion Module (AFFM). Finally, an accurate saliency map is produced by fusing the finest-level outputs of the two streams. Experimental results on five benchmark datasets demonstrate our model is superior to 13 state-of-the-art methods in terms of four evaluation metrics.