Reviewerly/exHarmony huggingface dataset:
ICT Concepts Development in Educational Theory and Practice since the Time of Independence of Ukraine

Background and Aim of Study: The article deals with ICT concepts in the educational theory and practice of Ukraine. It is noted that scientists are exploring different aspects such as a concept, a strategy for implementing the concept, real experience, etc. The analysis of ICT concepts in education which were created during the independence period, has highlighted a number of contradictions that accompany this process. The aim of the study: to consider ICT concepts which were created in the system of education in Ukraine during the independence period. Material and Methods: In the study, the following general scientific methods were used: analysis (historical and pedagogical), synthesis, comparison, generalization. Results: ICT concepts implemented in Ukraine’s education, not only attest to the emergence of innovative information and technological realities in the field of science and education, but also are considered to be new realities, and therefore need to be researched by scholars of different branches – philosophers, educators, sociologists, psychologists, etc. – both in terms of methodology and trends of changes in the reference field of educational informatization. Conclusions: ICT concepts in Ukraine’s education, created during the independence period, reflect the course of a controversial process of a state formation. Being innovative by design, concepts, laws, strategies, programs, etc. have been based on traditional, or even outdated, principles of state development. A legislative approval of the National Program of Informatization and periodic changes in innovative nature of its content in relation to ICT in education, showed progressive trends of conceptual importance.
KYANITE ORES IN THE KHIZOVAARA ORE FIELD, NORTH KARELIA

A succession in the practical applications of kyanite ores from being a natural source of aluminium to a high-alumina industrial mineral used for manufacturing refractory, nonstick and special ceramic materials is explained. All stages of research up to the discovery of polygenic and polychronous kyanite ores in the industrial Khizovaara Kyanite Field are described. The Khizovaara Structure of the North Karelian Greenstone Province has become an experimental ground for summarizing the available data on the morphogenetic types and dressing technology of kyanite ores. The main locality, known as the Yuzhnaya Lens, consisting of six large metamorphogenic-metasomatic and metasomatic bodies, is described in detail. The Khizovaara Structure new serves as the standard for the geodynamic model of the formation of greenstone belts of the North Karelian type based on our knowledge of terrain tectonics, with the application of the results on the geochemical types of igneous rocks and isotope-geochronological studies conducted by Е. V. Bibikova, V. N. Kozhevnikov, А. V. Samsonov, А. I. Slabunov, А. А. Shchipansky and others. S. А. Bushmin and V. А. Glebovitsky have revealed the thermodynamic regimes of metamorphism and various metasomatic processes ranging from acid leaching to alkaline metasomatism. The ore field was described geologically, technologically and economically by V. V. Shchiptsov et al. A summary is provided of the results of longterm studies on the technological mineralogy of kyanites, their enrichment by flotation, and the related market analysis carried out at the Institute of Geology KarRC RAS. There is a shortage of refractory materials based on high-alumina raw materials in various industries. Therefore, the raw materials potential should be augmented. Kyanite is a material belonging to the 21st century. Russia’s kyanite potential is largely associated with the Karelian Region.
TEACHING READING COMPREHENSION FOR THE TENTH GRADE STUDENTS BY APPLYING THE INQUIRY BASED LEARNING APPROACH

The objective of this research was to find out whether or not it was significantly effective to apply the Inquiry Based Learning Approach in teaching reading comprehension for the tenth grade students. In this research, the researcher proposed two hypotheses. They were null hypothesis (Ho) and alternative hypothesis (Ha). The method applied was pre-experimental with one group pre-test posttest design. The object of this research consisted of 20 students. The data were collected by means of test consisting 20 items of multiple choices. The data obtained were analyzed through three techniques: 1) Individual Score, 2) Conversion of Individual Score Based on Minimum Mastery Criteria, and 3) Matched t-test. The results of this research shows that the students’ mean score in the pre-test was 60.13 and those in the post-test was 75.25. The result of matched t-test was 5.25, which was higher than t-table value (1.725) of 20 with 95% significant level for one tailed-test. Therefore, the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It means that it was significantly effective in teaching reading to the tenth grade students by applying Based Learning Approach.
Peramalan Jumlah Penumpang Datang Melalui Transportasi Udara Di Sulawesi Tengah Menggunakan Support Vector Regression (SVR)

The number of air transportation passengers in Central Sulawesi shows an increase and decrease every month. For this reason, a forecasting method is needed to predict the number of air transportation passengers in the future. Because the pattern of data on the number of air transportation passengers in Central Sulawesi Province has a nonlinear data pattern, a forecasting method is needed that can overcome these problems where in this study using the SVR model. In this study, the SVR model uses the RBF kernel function to overcome nonlinear data patterns and uses the grid search method to obtain the optimal parameters of the model.
BC-SSES

With the rise of blockchain technology, data sharing between organizations is often established in a distributed blockchain ledger that is decentralized and tamperproof and has a low trust cost. However, traditional blockchain technology does not adequately support the on-chain storage of massive data, and all the on-chain stored data are completely open and transparent to participants; consequently, it is impossible to meet the user's needs for privacy protection. In this study, we designed a scalable data access control method for blockchains; this method extends the storage forms of the blockchain to support the chaining and sharing of large files, ensures that the traceable data in the chaining process cannot be tampered with, and introduces the attribute authority mechanism in peer nodes to improve the reliability and efficiency of attribute authorization. To verify the correctness and security of the method, we built a complete prototype system based on the Hyperledger Fabric license chain and performed rigorous evaluations on the indicators of physical resource consumption and performance using the Hyperledger Caliper evaluation model. The results showed that the proposed method achieved a good balance in terms of performance, safety, and resource consumption indicators.
Research on RF Fingerprint Feature Selection Method

In the era of 5G and Internet of Things, the number of connected devices has increased dramatically, which has placed a heavy burden on the network. So it is worthwhile to study the intelligent and accurate identification and control of devices. Radio Frequency (RF) fingerprinting technology has been widely used in wireless device identification. RF fingerprint contains rich nonlinear characteristics that reflect the uniqueness of wireless devices. However, redundant or irrelevant information in the features will result in poor recognition performance. In response to the problem, a novel integration feature selection method is proposed in this paper. The principle is to improve the identification performance through extracting the best-performing feature subset from the initial features. Signals from seven power amplifiers are collected as the dataset. The covariance feature is extracted as RF fingerprint and K-Nearest Neighbor (KNN) classifier is used for classification. The stability of the proposed method is evaluated by the Spearman correlation coefficient. The robustness is evaluated under the varying Signal-to-Noise Ratio (SNR). The identification results demonstrate the excellent performance of the proposal.
Semi-supervised learning with the clustering and Decision Trees classifier for the task of cognitive workload study

The paper is focused on application of the clustering algorithm and Decision Tress classifier (DTs) as a semi-supervised method for the task of cognitive workload level classification. The analyzed data were collected during examination of Digit Symbol Substitution Test (DSST) with use of eye-tracker device. 26 participants took part in examination as volunteers. There were conducted three parts of DSST test with different levels of difficulty. As a results there were obtained three versions of data: low, middle and high level of cognitive workload. The case study covered clustering of collected data by using k-means algorithm to detect three clusters or more. The obtained clusters were evaluated by three internal indices to measure the quality of clustering. The David-Boudin index detected the best results in case of four clusters. Based on this information it is possible to formulate the hypothesis of the existence of four clusters. The obtained clusters were adopted as classes in supervised learning and have been subjected to classification. The DTs was applied in classification. There were obtained the 0.85 mean accuracy for three-class classification and 0.73 mean accuracy for four-class classification.
Expert System of Diagnosing Building Damage due to Earthquake using Backpropagation Artificial Neural Network Method

Earthquake is one of the most destructive natural disasters. After the earthquake, experts were deployed to survey the damage that occurred. One of the main objectives of the assessment task carried out by experts is to evaluate and classify buildings into several categories based on the level of damage that occurs. In this study, an expert system that could facilitate the assessment of building damage due to the earthquake was made using Backpropagation neural network method. The testing techniques used in this system are blackbox, accuracy and Mean Opinion Score (MOS) testing. MOS testing conducted by 30 respondents produced an MOS value of 4.54 from a scale of 5. While the average accuracy of the system obtained is 82.22% of the 30 case cases tested by 3 building damage experts.
Path Planning Simulation of 6-DOF Manipulator

Abstract With the development of automation and intelligence in manufacturing industry, industrial robots have become an important part of intelligent chemical plants. In practical application, all functions implemented are realized by manipulator. Facts have proved that reasonable path planning for the manipulator is helpful to reduce the loss and impact of mechanical parts during operation, greatly improve the service life of the manipulator, and also help to improve the control accuracy of the manipulator of the robot. In this paper, the six-degree-of-freedom manipulator is taken as the research object, and the motion path planning scheme of the manipulator is designed, which is verified by PVDF material grabbing simulation experiments. The results show that the motion path of the manipulator designed in this paper takes less time than the shortest path to grab materials, and the operation accuracy is higher.
¿Cómo promover la alfabetización estadística y probabilística en contexto? Estrategias y recursos a partir de la COVID-19 para Educación Primaria

Statistical and probabilistic literacy can help citizens understand and face global crises like the one caused by COVID-19. From this perspective, the first part describes the important mathematical knowledge that primary school teachers must mobilize to develop student literacy and, in the second part, some contextualized experiences with data from COVID-19 are presented. It is concluded that, through these experiences, students can reflect on their own actions, considering their current and future social, cultural, economic and environmental impacts, thus contributing to training citizens committed to sustainability.
Assessment of Heavy Metals’ Contamination of Soils and Vegetable from Farmlands on Selected Floodplains in Akure and Environs, Nigeria

Aim: Among other absorption pathways, heavy metals affect human health via their introduction into the diet through the soil-food chain. This study was carried out to determine the concentration of heavy metals in soils and plant’s part of Amaranthus hybridus from five farmlands on floodplains in Akure and environs.&#x0D; Study Design: Soil and A. hybridus samples were obtained from five farmlands for the assessment of their heavy metals’ content and pollution levels.&#x0D; Place and Duration of Study: The study (six months’ duration) was conducted at the Department of Chemistry, The Federal University of Technology, Akure, Ondo State, Nigeria.&#x0D; Methodology: The assessment involved the use of standard methods of analyses and an atomic absorption spectrophotometer. Mathematical expressions were employed for estimating the bioconcentration factor, geoaccumulation index, contamination factor and pollution load index. Statistical difference of the results was evaluated using One-Way Analysis of Variance.&#x0D; Results: The experimental results revealed that the farmlands’ soils belong to four textural classes in which their heavy metals’ contents are all below the maximum allowable concentrations provided in the considered regulatory guidelines for soil. Evaluation of the geoaccumulation index showed that concentration of all heavy metals in the soils are not enriched above the baseline concentration as most of the soils belong to Class 0 (uncontaminated category). Pollution load index estimated from the contamination factors also indicated no overall pollution of the farmlands. Uptake of the studied heavy metals by A. hybridus was at varied levels while vegetable samples from Ogbese farmland had the highest bioconcentration factor for copper, nickel and chromium.&#x0D; Conclusion: Although most of the farmland soils have satisfactory physicochemical properties and present safe level of the studied heavy metals, the research revealed the need for cultivation of vegetables which are extremely poor bioaccumulators of heavy metals in these farmlands.
Pengujian pada Aplikasi "Kembaliin" Berbasis Mobile Application/Android dengan Metode Design Thinking

With the development of information and communication technology. Users and actors in IT (Information Technology) are increasingly spoiled with gadgets that are easier in terms of function and protection. A smartphone is a function similar to a PC or notebook with an easy-to-carry operating system and mobile application. A smartphone will usually be equipped with a separate operating system / OS. At this time the most famous operating system is Android is a search engine giant, namely Google. Before we make we need to design the application that we made, so that the user understands and easily uses the application created
An Analysis of Whatsapp Emoji in Business Interactions between a Malaysian SME and the Turkish Counterparts

Social media usage such as Twitter, Whatsapp, and Instagram are widely used by individuals around the globe. Entrepreneurs are among those who use social media as their platforms in selling and marketing their items. Particularly in WhatsApp communication, there are various functions of emoji in social networking that offer various messaging features. The purposes of this study were to identify the usage of emoji in WhatsApp business interactions and to types of emoji employed among Malaysian Small and Medium enterprises (SME) and his Turkish counterparts. This study used Content Analysis to make interpretations about the emoji found in conversational messages between the entrepreneurs in their business interactions. The findings revealed that the Malaysian participant was more technology savvy when it came to the use of emoji compared to his Turkish business counterparts. Thus, the WhatsApp emoji provides a non-verbal communication and other functions in business interaction. Based on the findings, this study recommends that the use of emoji should be encouraged among entrepreneurs and customers to create a cheerful and customer-friendly atmosphere. Additionally, WhatsApp features should be used by both businesses and consumers to promote business processes and help readers understand the meaning of their communications.
New Applications in Gas Geochemistry

Gases present in the Earth crust are important in various branches of human activities. Hydrocarbons are a significant energy resource, helium is applied in many high-tech instruments, and studies of crustal gas dynamics provide insight in the geodynamic processes and help monitor seismic and volcanic hazards. Quantitative analysis of methane and CO 2 migration is important for climate change studies. Some of them are toxic (H 2 S, CO 2 , CO); radon is responsible for the major part of human radiation dose. The development of analytical techniques in gas geochemistry creates opportunities of applying this science in numerous fields. Noble gases, hydrocarbons, CO 2 , N 2 , H 2 , CO, and Hg vapor are measured by advanced methods in various environments and matrices including fluid inclusions. Following the “Geochemical Applications of Noble Gases”(2009), “Frontiers in Gas Geochemistry” (2013), and “Progress in the Application of Gas Geochemistry to Geothermal, Tectonic and Magmatic Studies” (2017) published as special issues of Chemical Geology and “Gas geochemistry: From conventional to unconventional domains” (2018) published as a special issue of Marine and Petroleum Geology, this volume continues the tradition of publishing papers reflecting the diversity in scope and application of gas geochemistry.
Creative Ceramics of Bayat Klaten: Craft Development in a Postmodern Context

The pottery craft in Indonesia faces a challenge in the postmodern era that demands them to self-adjust.This study uses qualitative approach in the case study of the Bayat Klaten's pottery industry.Data were obtained through in-depth interviews, participatory observations, and documentation.Data analysis was done using Miles and Huberman's interactive model.The findings reveal that (1) the social system at Bayat's ceramics industry was a collaborative effort among the Bayat community.This is a contributing factor in facing the challenges in postmodern era.(2) The production of the products is adjusted with the needs of the current time and creative approach.(3) There are many types of modification in the Bayat pottery products, yet they still represent old elements such as ornaments as decoration.This study is expected to develop the creative thinking skill among high school/vocational high school students through pottery making.
A Proposed Approach to Determine the Edges in SAR images

Radar is the most eminent device in the prolonged scattering era The mechanisms involve using electromagnetic waves to take Synthetic Aperture Radar (SAR) images for long reaching. The process of setting edges is one of the important processes used in many fields, including radar images, which assists in showing objects such as mobile vehicles, ships, aircraft, and meteorological and terrain forms. In order to accurately identify these objects, their edges must be detected. Many old-style methods are used to isolate the edges but they do not give good results in the determination process. Conservative methods use an operator to detect the edges, such as the Sobel operator which is used to perform edge detection where the edge does not appear well.&#x0D; The proposed method which combines Ridgelet transform, Bezier curve and Sobel operator is used to detect edges very efficiently. Ridghelet transform resolves the harms in the wavelet transform and it can well detect the edges in images. Bezier curve can profit gradual variation of the data and their mutability. Hence, the efficiency of the edged image is improved and, when used with Sobel operator, the quality of the edge image become very good. The data show that the advocated method has superior fallouts over the Sobel edge detection and the wavelet method in both subjective and impartial experiments. While the Peak Signal to Noise Ratio(PSNR) values were equal to 9.3812, 9.8918, 9.6521 and 9.0743using the Sobel operator method and to10.2564, 10.7927, 10.5612and 10.8633 using the wavelet method, they were increased in the proposed method to 12.6542, 12.9514, 12.8574 and 12.3013 respectively.
Abstraction and Summarization of Meaning in Natural Language Processing

Today's natural language processing system cause loss of information due to the approximation processes.The applied methods, based on Aristotle' s binary logic usually cannot take the semantics into account in processing a language.In this paper, we tried to use an approach to analyze a set of terms given in a natural language and overcome some problems of processing.
Taman Baca Tanah Ombak Dalam Meningkatkan Literasi Baca Anak Di Pantai Purus

This research was conducted in Tanah Ombak Reading Park, Purus III Village, Padang City, West Sumatra. This study aims to illustrate that Tanah Ombak reading park has a considerable influence in changing the stigma and views of the community around Purus Beach which is very far from the reading material and has bad behavior. This is where the role played by the Tanah Ombak Reading Park to make the children of the Purus Beach community have good character and good literacy too. This research uses descriptive research method using a qualitative approach. The purpose of descriptive research is to provide a description based on accurate facts obtained in the field. The subjects in this study were children who lived around Tanah Ombak Reading Park, while the object of the study was Tanah Ombak Reading Park, Padang, West Sumatra. Data collection techniques carried out by observation, interviews and literature. The informants in this study amounted to one person, Mr. Yusrizal. The results of this study are (1) children's reading literacy and society will develop well if the elements that play a role in the scope understand their respective roles (2) many activities held by Tanah Ombak Reading Park to improve reading literacy(3) Tanah Ombak Reading Park has various awards from other renowned institutions and artists. (4) the obstacle felt by Tanah Ombak Reading Park is the lack volunteers so the activities are not well structured. So it can be concluded that Tanah Ombak reading Park has a positive impact in providing education and teaching to children such as learning to count, draw, tell stories, play, and most importantly teach norms in society. However, all activities are constrained due to the limited volunteers so that the activities are only carried out by children independently, such as reading books by themselves without being accompanied by volunteers. Suggestion for the future that Tanah Ombak Reading Park informs the public about the needs of volunteers so that the activities in Tanah Ombak Reading Park can take place in a structured manner.