Reviewerly/exHarmony huggingface dataset:
SOFT SKILLS DEVELOPMENT IN COMPUTING LESSONS IN SECONDARY SCHOOL

The paper describes the complex of computer science lessons for secondary school students, aimed at forming soft skills, among which are communication skills (in particular, the ability to dialogue and discussion), teamwork (cooperation), leadership, logical thinking, creativity, time management. The relevance of the study is due to the need to understand the possibilities of computer science lessons in terms of development of modern schoolchildren soft skills, which are the key to successful further study and future professional realization. The research methodology contains general theoretical and special methods. The aim of the study is to describe and characterize the author's set of non-standard computer science lessons for secondary school students, which promotes the development of soft skills. The complex consists of three consecutive lessons and involves students working on their own projects in microgroups, a competition for these projects and a press conference of the jury, during which the results of the competition are discussed. The project method stimulates creativity, elements of competition contribute to the formation of teamwork and leadership skills. Independent elaboration of the topic with the subsequent acquaintance with several variants of its presentation consolidates knowledge. An additional factor in strengthening knowledge is the visualization of educational material, implemented in presentations. The paper examines the correlation between the type of lesson and the development of specific soft skills. The main educational tasks that should be used in computer science lessons for the development of soft skills include problem (identify the most interesting topics) and creative (create your own project-presentation) ones. Involvement of the element of competition (project competition) contributes to the intensification of learning, helps to form teamwork, and increases student motivation. Prospects for further research are seen in the implementation of the proposed complex into the teaching of computer science in Kremenchuk secondary schools in order to prove its effectiveness. Key words: primary school, computer science lesson, soft skills, non-standard lesson, project work, lesson-competition, lesson-press conference.
توسيط مشارکة المعرفة في العلاقة بين القيادة التمکينية والاداء الابتکاري للعاملين بجامعة المنصورة

Abstract: This study examines the mediating role of knowledge sharing in the relation between empowering leadership (manifested by Enhancing the Meaningfulness of Work, Fostering Participation in Decision Making, Expressing Confidence in High Performance and providing Autonomy) and creative performance in Mansoura university. A conceptual framework was developed from literature, and the relations between its variables were constructed and tested using structural equation modeling (SEM). Results indicate that empowering leadership, knowledge sharing, and creative performance are positively correlated. Expressing Confidence in High Performance and providing Autonomy have positive direct effect on knowledge sharing. Also, Enhancing the Meaningfulness of Work, Expressing Confidence in High Performance and knowledge sharing have positive direct effect on creative performance. knowledge sharing has a mediating role in the relation among both Expressing Confidence in High Performance and providing Autonomy and creative performance. This study provides practical and academic recommendations.
Layered Lossless Compression Method of Massive Fault Recording Data

In order to overcome the problems of large error and low precision in traditional power fault record data compression, a new layered lossless compression method for massive fault record data is proposed in this paper. The algorithm applies LZW (Lempel Ziv Welch) algorithm, analyzes the LZW algorithm and existing problems, and improves the LZW algorithm. Use the index value of the dictionary to replace the input string sequence, and dynamically add unknown strings to the dictionary. The parallel search method is to divide the dictionary into several small dictionaries with different bit widths to realize the parallel search of the dictionary. According to the compression and decompression of LZW, the optimal compression effect of LZW algorithm hardware is obtained. The multi tree structure of the improved LZW algorithm is used to construct the dictionary, and the multi character parallel search method is used to query the dictionary. The multi character parallel search method is used to query the dictionary globally. At the same time, the dictionary size and update strategy of LZW algorithm are analyzed, and the optimization parameters are designed to construct and update the dictionary. Through the calculation of lossless dictionary compression, the hierarchical lossless compression of large-scale fault record data is completed. Select the optimal parameters, design the dictionary size and update strategy, and complete the lossless compression of recorded data. The experimental results show that compared with the traditional compression method, under this compression method, the mean square error percentage is effectively reduced, and the compression error and compression rate are eliminated, so as to ensure the integrity of fault record data, achieve the compression effect in a short time, and achieve the expected goal.
Lessons Learned from FIPSE Projects II - Ohio State Universities Libraries

This archived section of the book Lessons Learned from FIPSE Projects II focuses on a project that enables even novice library users to access information from online catalogs and CD-ROM databases, and to select the materials that best meet their research needs.
MEDIA PEMBELAJARAAN BERBASIS VIDEO PADA PEMBELAJARAN DARING

COVID-19 is officially designated as a pandemic case in Indonesia. This case has caused many sectors to suffer losses. The education sector was also affected. Many countries have decided to close schools, colleges and universities. Indonesia took policy steps to close learning activities in schools to prevent and break the ropes of the spread of this virus. The policy to cancel activities at school is considered the most appropriate decision in this situation. With this policy, a new learning system is formed for the sake of conveying material to students. Technology is a connector for the learning process during a pandemic. All learning activities are carried out online (online). Using this technology requires students and teachers as teaching staff to be able to apply their technology.
Pembuatan Media Pembelajaran Agama Islam Pada Masa Pandemi Virus Covid 19 Berbasis Podcash Sosial Media Musik Spotify di Politeknik Negeri Media Kreatif PSDKU Medan

The spread of the Covid 19 Virus has halted learning activities at all levels of learning and hampered social distancing. This has made every educator and policymaker in the education world turn their heads to develop learning media. Internet-based media is a mandatory choice that must be done, so media applicators are competing to create learning media. Spotify Social Media Podcast is an internet-based application that is quite popular in the United States and various countries in Europe, even profitable for business, but not yet popular enough in Indonesia. The potential audience is quite large, because, in addition to being able to be heard on the street by commuters, about 30% of the population are auditory learners. For this reason, a literature study was carried out which aims to explore opportunities for audio podcasts to develop learning media at the Politeknik Negeri Media Kreatif PSDKU Medan, as well as content analysis of several podcast content providers sites that are quite successful in Indonesia. The results of the study indicate that the audio podcast optimization strategy includes the development of podcast materials; the approach and distribution of content according to the needs, desires, and ways of students consuming audio content; and the suitability of the content with the character and orientation of the media. In addition, this effort must also be accompanied by an intensive campaign through various means. State the research objectives and targets to be achieved and the methods that will be used in achieving these goals.
HiNative: A Global Q&amp;A Platform to Learn Language and Culture

Advances in technology have had a revolutionary effect on education, making online education more accessible to everyone. These advances have also provided opportunities for development of applications or websites that could prove helpful to the process of language learning and teaching, by offering tools that could be used both inside and outside of language classroom. Among a myriad of language applications, HiNative is an app that has recently been developed. The application provides language learners with opportunity to improve their vocabulary, sentence making, and even pronunciation. one-on-one direct feedback from speakers of different languages has made HiNative a popular option for those who try to take control of their own language learning. This app could also be used to familiarize learners of a language with its culture too. This review provides a description of the attributes of this application and tries to point out the advantages and disadvantages of using this application as a supplementary language learning tool.
Chinese-oriented Russian Language Online Classes: What We Learned from the Pandemic

This research aims at exploring peculiarities of Chinese students in online classes of Russian language and drawing conclusions about linguo-cultural inclusion which might be useful for practitioners teaching foreign languages online to students based in the People’s Republic of China. Since the ongoing pandemic raises questions over the role of electronic devices and the way to make a proper use of them, university practitioners should take account of the experience acquired through the last academic year in order to be prepared to adapt their teaching method to students who may be attending lessons from other countries. This finds application on the students enrolled in a foreign university who attended online classes from their country because of travel restrictions. At the People’s Friendship University of Russia (RUDN University) most of foreign students come from the People’s Republic of China. The students involved in this research attended the same classes as their Russian-speaking colleagues and were required to study Russian language as an additional subject. Descriptive data analysis is supported by a one-year teaching experience over a focus group (N= 32) of first-year fully online students based in China, who at the end of the academic year were willing to share their opinion about some key issues of Russian language online classes.
Classification of Hadith Topic of Indonesian Translation Using K-Nearest Neighbor and Chi-Square

Hadith is the main way of life for Muslims besides the Qur'an whose can be applied in everyday life. Hadith also contains all the words or deeds of the Prophet Muhammad which are used as a source of the law of Islam. Therefore, many readers, especially Muslims, are interested in studying hadith. However, the large number of hadiths makes it difficult for readers or those who are still unfamiliar with Islam to read them. Therefore, we conducted a study to classify hadith textually based on the type of teaching, so that readers can get an overview or other reference in reading and searching for hadith based on the type of teaching more easily. This study uses KNN and chi-square methods as feature selection. We also carried out several test scenarios, including implementing stopword removal modifications in preprocessing and experimenting with selecting k values ​​for KNN to determine the best performance. The best performance was obtained by using the value of k = 7 on KNN without implementing chi-square and with stopword removal modification with a hammer loss value of 0.1042 or about 89.58% of the data correctly classified.
Developing Big Data Analytics Course for Non-ICT Major University Students

In the fourth industrial revolution's education era, there is no boundary between majors or subjects, and it is common for university students to enrol in information and communication technology (ICT)-related courses as convergence education blends different disciplines.Today's job market is getting more competitive and requiring higher skills in ICT and computational thinking.Since non-ICT major students rarely have programming experiences and knowledge in regular classes, teaching a big data analytics course for non-ICT major university students is not easy.Thus, it is vital to develop a curriculum that comprises easy-to-follow and easy-to-understand modules.In this paper, we develop a big data analytics course for non-ICT major university students.The proposed big data analytics course for non-ICT major students comprises two parts: (1) basic programming skill modules with step-by-step guidelines and (2) extension to big data analytics modules with laboratory exercises, with the five principal programming modules based on the Python programming language.First, our investigation discusses the suggestions and limitations of the big data analytics course for non-ICT major university students.Then, we recommend programming languages, integrated development environments (IDEs), and useful tools that help learners perform programming exercises and milestone projects.The learning objectives and course design models are carefully selected based on Bloom's taxonomy with six thinking levels and five.
Health Code of Conduct: A Blockchain Model for Health Metrics and Sharing (Preprint)

<sec> <title>BACKGROUND</title> Health is the most valuable property of all humans, and for long, scientists have had to cope with a tremendous amount of health-related data globally. Recording of health data has always faced challenges concerning privacy, accuracy, and interoperability. So in this study, we intended to summarize health records to a minimal and abridged string that can be easily reused and shared among health systems. For this purpose, we attempted to use various coding systems and combine them with disability codes defined in Global Burden of Disease (GBD) studies to reach a unique method for presenting health records. However, this type of data is prone to disclosing personal information and should be secured safely. Today, one of the safest methods for storing and sharing data is a blockchain network that makes data transactions safe and secure. </sec> <sec> <title>OBJECTIVE</title> Ultimately, we have envisaged a global network of interconnected health data communicating through approved protocols, namely the Internet of Health data (IoHd). </sec> <sec> <title>METHODS</title> In other words, we propose a decentralized, blockchain-based network where EHRs (Electronic Health Records) are stored in the form of a hashed health code, as explained earlier. The distributed system connects the health-related data among the trusted nodes, leading to the emergence of IoH. </sec> <sec> <title>RESULTS</title> This data would be hashed health codes stored on the blockchain, so all healthcare professionals and health-related corporations/institutions/companies may access this network using their login information. The network consists of three sub-networks, the private (for health wallets), the permissioned (for care wallets), and the or pseudonymous (for data wallets). </sec> <sec> <title>CONCLUSIONS</title> Considering blockchain technology's high security and privacy, it would be possible to safely and widely provide relevant health information for caregivers, healthcare professionals, research centers, big data studies, and artificial intelligence platforms to offer better access, data storage, care provision, data transfer, and surveillance. </sec>
Reading Difficulties in English as a Second Language in Grade Five at a Saint Patrick’s High School for Boys, Hyderabad- India

Reading is one of the essential components of the English language. Countries that use English as a second language (ESL) sometimes have difficulties in reading and comprehension. According to many researches, mother tongue has proved some interferences with learning a second language. This study investigated the results of reading difficulties of young second language learners in terms of accuracy, comprehension, and rate using the Neale Analysis of Reading Ability test. The study was carried out in one of the High Schools for Boys in Hyderabad, India and included Grade five, aged 10-12 years. In order to understand the reading difficulties of English as a second language, a qualitative approach was employed. Interview, reading tests, and observation were conducted as a data collection tool. The findings showed that these subjects had no specific language impairments but they had different degrees of language exposure and usage that led to poor accuracy, comprehension, and reading rate during reading English language texts. Five students (50%) were classified at a low level of readers, three (30%) at a high level, and two (20%) at a mild level after evaluation of their compatibility between their chronological and reading age. It is suggested that the teachers should first assess students who struggle in reading accuracy and comprehension and then assist them with their language learning and acquisition that take place at school and home.
DESAIN LAPORAN KEUANGAN UMKM BERBASIS MICROSOFT EXCEL PADA SUNSHINE LAUNDRY

This study aims to design the financial statements of Sunshine Laundry using the Microsoft Excel application. The research method was descriptive qualitative. Instruments of data collection was down through interview in the form of questions regarding the recording of financial statements. While the data collection instrument with documentation, was done through namely evidence of transactions that occurred in the business. The results of this study indicate that the design of financial statements with Microsoft Excel helps Sunshine Laundry in compiling financial reports in accordance with EMKM accounting standards. The design of financial reports using Microsoft Excel is assisted by data flow diagrams to describe the flow of the system consisting of a menu design sheet, module 1, module 2, price list, transaction list, account type, chart of account, general journal, income statement, and statement of financial position.
Analisis Model Pengukuran Tinggi Permukaan Air Dengan Metode Canny Edge Detection dan Image Contouring Sebagai Indikator Peringatan Dini Bencana Banjir

Flood disaster remains a natural phenomenon that often occurs in Indonesia, especially in the Wisma Tajur Housing Complex area, Tangerang City which causes property losses including the safety of the souls of the affected community. The difficulty experienced so far is how to measure the water level to obtain alert status information as an indicator of flood warning. As a solution in overcoming these problems, this research proposes a method based on digital image processing with canny edge detection algorithms and image contouring in an effort to measure river water level. Canny edge detection and image contouring were chosen due to their accuracy in detecting the edges of the image and the ease of the computation process. The steps taken in this research are to conduct a simulation experiment of measuring the water level using a water container that can describe the situation in the river, then doing field testing. Canny edge detection produces an outline which can then be detected by the contour, then water level measurements can be made on the bounding rectangle that is formed and changes dynamically with fluctuations in water level. The contribution of this research is the use of black measuring lines that are processed using thresholding techniques to facilitate the process of measuring water level using a combination of canny edge detection and image contouring techniques as well as adding attributes / features using threshold, MinVal, and MaxVal values on the canny edge. Sampling testing produces an accuracy of 99.96%, prototype testing produces 100% accuracy, and direct testing produces an accuracy of 99.85%.
Executive summary

Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. To understand and anticipate this transformation, policy makers must first understand what these technologies can and cannot do. The OECD launched the Artificial Intelligence and the Future of Skills project to develop a programme that could assess the capabilities of AI and robotics and their impact on education and work. This report represents the first step in developing the methodological approach of the project. It reviews existing taxonomies and tests in psychology and computer science, and discusses their strengths, weaknesses and applicability for assessing machine capabilities.
Sistem Pendukung Keputusan Penentuan Kesesuaian Lahan Tanaman Cengkeh Dengan Metode Profile Matching

Clove is a type of spice plant that has many benefits. The part that is often used from the clove plant is the flower bud. Usually it will go through a drying process before it is finally consumed or used. The method used to determine land suitability for clove plants is the profile matching method. The data used in determining the suitability of land for clove plants was obtained by using observation and interviews with employees at the address of Kuta Galuh Village, Tiga Ndreget District, Karo Regency. The system for determining land suitability for clove plants was built using a web-based programming language and MySQL database. The purpose of this study was to determine the suitability of land for clove plants in Tiga Ndreget District, Karo Regency. Calculation of ranking determination The final result of the profile matching process is ranking. Determination of ranking refers to the results of certain calculations. The results of the calculation of the profile matching method include Kuta Galuh Village with a Final Score of 5.02 Ranking 1, Nari Gunung Village with a Final Score of 4.98 Ranking 2, Tanjung Belang Village with a Final Score of 4.56 Ranking 3.
Detection of weapon possession and fire in Public Safety surveillance cameras

The employment of video surveillance cameras by public safety agencies enables incident detection in monitored cities by using object detection for scene description, enhancing the protection to the general public. Object detection has its drawbacks, such as false positives. Our work aims to enhance object detection and image classification by employing IoU (Intersection over Union) to minimize the false positives and identify weapon holders or fire in a frame, adding more information to the scene.