Reviewerly/exHarmony huggingface dataset:
AUTOMATION OF POST-EXPERIMENTAL PROCESSING AND STORAGE OF BENCH TEST DATA

Post-experimental processing of data obtained as a result of bench tests is the final and very important stage in the test production of complex products.Closely related to the task of data processing is the task of structuring and storing the huge amount of data generated by tests.Current storage methods are based on manual structuring of test data.Most of the information to be accumulated consists of the results of monitoring the parameters of the test process, the so-called trends.When observing, the values of the parameters are fixed and tied to the moment of observation, i.e. are time series.The use of traditional RDBMS for storing such data is unjustified, since they are not suited for efficient storage and processing of time series.Research objective: development of a system for collecting, processing and storing data.Methods: selection and justification as an alternative to RDBMS for storing test data of a document-oriented database.Creation of a complex of applications -an ecosystem of data storage and processing, designed to import data into the system and process it.Results: on the basis of the proposed method of storing data in a document-oriented database, structures were developed that provide storage of all complex information about tests.A software package has been developed that implements such system functions as: importing test data into the Database, viewing a trend, parameters, associated documents, searching and extracting data.The most demanded by users function for processing test data is the search for characteristic features of product behavior, i.e. analysis of trends.As events characterizing the behavior of a trend, such events as falling of a parameter value (or its derivative) into a given range, reaching a minimum/maximum of a parameter value, switching a state of a discrete parameter, etc. are considered.A method is proposed for organizing complex search queries that combine the description of several events using AND, OR.Practical significance: the developed unified system for collecting, processing and storing data on the tests performed provides data processing specialists with a powerful analysis tool.
Generation of Moire-Like Images Using Gaussian Filter

A non-photorealistic rendering method to automatically generate moire-like images from photographic images using bilateral filter has been proposed. Moire-like images are expressed by superimposing moire-like patterns on photographic images. We propose a method to improve the conventional method and generate moire-like images using Gaussian filter, unsharp mask and inverse filter. Compared with the conventional method, the proposed method can suppress the degradation of image quality&nbsp; of the background photographic images of moire-like images. Moreover, the proposed method can generate moire-like patterns having a texture different from the conventional method. To verify the effectiveness of the proposed method, we conduct an experiment using several photographic images and visually confirm the results. In addition, we conduct an experiment by changing the parameter values in the proposed method and visually confirm the changes in moire-like images.
COMMON AND DISTINCTIVE SIGNS OF ELECTRONIC MEANS OF PAYMENT

Prohrama diialnosti Kabinetu Ministriv Ukrainy [Program of activities of the Cabinet of Ministers of Ukraine].URL: https://www.kmu.gov.ua/storage/app
Metode Drill dalam Meningkatkan Keterampilan Membuat Tas Makrame untuk Anak Tunarungu di SLB Bina Bangsa

This study discusses vocational skills in making makrame bags for deaf children. This research is a classroom action research. The aim is to improve the ability of children to make makrame bags and to determine the effectiveness of the drill method for learning in the classroom. The research method used is class action research that is to improve teacher performance through the e drill method. This research consists of cycle I and cycle II. in the initial condition of the child 33%, this is because it has not been given maximum training, so the researcher uses the drill method. in the first cycle the first meeting of the child obtained 42%, the second meeting 66%, the third meeting 75% and the fourth meeting 83% but in the core part of the child still needed help so it needs to be continued for the second cycle. both students get 83%, the third meeting gets 91%, at the last meeting students reach 91%, so proven by the drill method can increase the ability of deaf students to know the process of making makrame bags.
Classification of Arabic-Speaking Website Pages with Unscrupulous Intentions and Questionable Language

This study aims to put forward a comprehensive and detailed classification system to categorize different Arabicspeaking website pages with unscrupulous intentions and questionable language.The methodology of this is based on a quantitative approach by using different algorithms (supervised) to build a model for data classification by using manually categorized information.The classification algorithm used to construct the model uses quantitative information extracted by Posit or SAFAR textual analysis framework.This model functions with (58) features combined from Positn-grams and morphological SAFAR V2 POS tools.This model achieved more than (94 %) success in the level of precision.The results of this study revealed that the best results reaching 94% precision have been achieved by combining Posit + SAFAR + (18 attributes Posit+ SAFAR N-Gram).Moreover, the most reliable results have been achieved by applying a Random Forest classification algorithm using regression.The research recommends working more on this topic and using new algorithms and techniques.
Testers’ Experiences of Tools and Automation

Software testing is vital, expensive, time-consuming yet a necessary part of software development.Testers perform repeated actions during testing, where automation and tools could reduce costs, timescale and human error.However, challenges to tools adoption have been identified in academic research and industry, which are blockers to success with automation.A survey of over 180 testing practitioners, to collect testers' experiences with tools and understand their tools challenges, uncovered rich stories of emotional stress, as well as evidence of ways in which usability and HCI techniques are misapplied in test tool design.This leads to suggestions for future research.lived experience, LX, user experience, UX, usability, software testing, test automation, test tools
AI AND CLOUD BASED SMART FARM ASSIST IN KANNADA FOR COCONUT FARMERS

Agriculture is the largest source of livelihood for Indians populations.Artificial intelligence technologies can align agriculture to modern practices.In this Farm Chat system it provides guidance to the farmers using dialog flow, natural language processing and cloud.It recommends suitable policies to the coconut cultivators to overcome their farming-related problems.The important features of this system are weather, marketing value, government schemes and type of soil and videos related to coconut.It also provides transportation facilities for transporting coconuts to the principal market and also responds to farmers queries via voice-based format in the Kannada Language.This conversational agent encourages farmers to grow more coconut plants and products of coconuts.
Correction to: The visual and semantic features that predict object memory: Concept property norms for 1,000 object images

A Correction to this paper has been published: https://doi.org/10.3758/s13421-021-01145-6
DIGITAL COMMUNICATION AND INFORMATION COMMUNICATION TOOLS FOR FINAL QUALIFICATION ASSESSMENT IN ORIENTAL LANGUAGES PROGRAMS

The global pandemic and subsequent quarantine measures and restrictions have posed a challenge to communicative skills development in the structure and procedure of university summative assessment process.Qualification assessment for Foreign Languages major programs in particular is a strict regimen process that involves different communicative stages (oral and written exams, final project viva, internal and external review) that derive the need to elaborate complex communication skills and use an array of targeted information communication tools.This study seeks to analyze the practices of Borys Grinchenko Kyiv University digital qualification assessment for students of Asian (Mandarin, Japanese) Languages major programs, employed in the year 2020 due to quarantine measures.In the educational sphere, the result of the COVID-19 pandemic development was the need to take quick action in order to achieve such desirable results: 1) to adapt the existent educational scenarios to digital, remote and blended communicative formats; 2) to boost information and communication technology competence and digital literacy of all participants of the educational process.The investigation seeks to identify various groups of applied digital skills and communicative skills, utilized through qualification assessment process by all parties (students, faculty and referees).In a networked society of the early 21 st century, structured methods of collaboration encourage introspection of behavior and communication.The survey and analysis of different information and communication technology tools is used to translate real life qualification assessment practices into online blended communicative format.Comparative results of ICT tools and communicative activity practices efficiency for respondents of Oriental languages programs are provided.Communication, collaboration and team work are evaluated as crucial soft skills in various combinations within the scenario of digital Final Qualification Assessment.Implementation of Final Qualification Assessment via various information and communication tools requires of participants of educational process elementary to intermediate digital literacy.These results corroborate the correspondence between communicative competence and digital technology competence components, adapted for Liberal Arts.
Content-Based Image Retrieval Using Customized Convolutional Neural Network

In today's world due to multimedia development, there is a huge image database.Content-Based Image retrieval (CBIR) is a widely used method for image retrieval from a large image database.Existing retrieval methods are based on the basic content of an image like color, Shape, and Texture.The system based on basic features requires more time for processing and provides less accuracy.To reduce time and improve accuracy we are proposing CBIR Using CNN in this paper.CNN is used for feature extraction and similarity measurement Hamming distance is used.In this technique, the user has to provide an image as an input query image.The similar images related to the query image are displayed as a result.The performances of a system are evaluated by precision and mean average precision (MAP).After comparing with existing methods, we found encouraging results that lead to improving accuracy.
Development of the electronic physics textbook for students of secondary school

The work the results of using the developed electronic textbook on physics for organizing the independent work of secondary school students is analyzed. The possibilities of an electronic textbook are shown, the advantages of using the textbook in the learning process are noted. For the development of the electronictextbook, the C# programming language was used in the Microsoft Visual Studio software environment. The main idea of developing an electronic textbook is the relationship between theoretical teaching and practical skills. The electronic textbook provides two modes of operation: training mode and control mode, thus theelectronic textbook contains a block of theoretical material and a module for interactive testing of students' knowledge. The theoretical material of the textbook has been developed in accordance with the standard curriculum for the subject “Physics”. The interactive testing module includes standard physical problems ofdifferent degrees of complexity, as well as practice-oriented problems on physics. A set of practice-oriented problems has been developed, the use of which in the process of teaching physics will allow to ensure the formation of students' theoretical knowledge and practical skills, to prepare students for practical activities.The main advantage of an electronic textbook is interactivity. The novelty of the development of an electronic textbook is implementation in accordance with a new approach aimed at shaping students' knowledge about the practical applications of physics and developing their practical skills.
MENINGKATKAN PRESTASI BELAJAR MELALUI PENGGUNAAN TEKNIK JIGSAW

This study aims (1) to improve student achievement in class A semester VI Christian Religious Education Study Program Manado State Christian Religion Institute through cooperative learning with jigsaw techniques, (2) to increase interest and motivation to learn students in class A semester VI Education Study Program Christian Religion Institute of Manado State Christian Religion through cooperative learning with jigsaw techniques. This research is classroom action research. Total population of 145 people and a sample of 14 people. The research data were obtained from test scores on pre-cycle, cycle 1, cycle 2 and questionnaire. The results showed that cooperative learning with jigsaw techniques can significantly improve achievement, interest and motivation of students in class A semester VI of the IAKN Manado Christian Religious Education Study Program. The percentage of the number of students who obtained a minimum passing grade achievement increased from 60% in the pre-cycle to 80% in cycle 1, and to 90% in cycle II. Students' interest and learning motivation increases, from 70% in cycle 1 to 90% in cycle 2.
Straddle Robot Design and control with a PID controller optimized by PSO algorithms

The work presented in this paper illustrates the design and control of a straddle robot-type four-wheel moving robot with PID controller adjusted by meta-genetic algorithms genetic Algorithm (GA) and PSO. The approach used for the simulation is a modeless approach because it assumes no knowledge of the mathematical model of the system, indeed, the mechanical structure was implemented under SolidWorks, then a simulation (Solidworks, Simulink) has was conducted using particle swarm optimization (PSO) techniques for controller parameter optimization (PID) to control the steering angle and angular velocity of each wheel. The results obtained clearly illustrate the effectiveness of the selected control architecture and the accuracy is better with the use of the PSO algorithm. In a future work, we compare the results with using other optimization algorithms like GA (Genetic Algorithm) and GWO (Grey Wolf Optimizer) algorithm.
METHODOLOGY OF READINESS FORMATION FOR DIFFERENTIATION OF PROFESSIONAL TRAINING OF FUTURE TEACHERS OF MUSIC ART

The purpose of the article is to consider the effectiveness of the model of differentiation of professional training of future teachers of music art and methods of readiness formation for differentiation in professional training of music-students, during the formative experiment, which included a set of pedagogical activities, methods and techniques. The pedagogical experiment became a logical continuation of our theoretical research and was based on the following conceptual ideas: study of theoretical and methodical bases of differentiation of professional training of students; use of foreign tendencies differentiation of education in music pedagogy; introduction of methodological approaches as a basis for differentiation of music-pedagogical training; development and implementation of innovative technologies for working with students with different pre-university training; creation of organizational and pedagogical model of differentiation methodical system of professional training of musicians; making the atmosphere of creative cooperation between teacher and student. The directions of work covered by the formative experiment included: methods of activating students' interests to music art and self-realization, self-improvement, self-differentiation in this area; the use of different types of activities in readiness formation for differentiation in the professional training of music-students; gradual formation of readiness for differentiation in professional training of educational process participants; realization of creative musical potential of each applicant for higher education.
The Development of Graphic Design Online Class Using Thinkific Platform to Improve Commercial Graphic Design Skill

This research aims to develop a graphic design online class for adult learners by using Thinkific. The development procedure followed the ADDIE theory that consists of Analysis, Design, Development, Implementation, and Evaluation. The result of feasibility test done by 3 subject matter experts shows that this developed product is feasible to use, rated 96% by instructional design expert, 95% graphic design expert, and 100% by media expert. Finally, the adult learners who joined the online class trial shows a very good response and satisfaction, which means that the developed product is improving their overall learning experience.
Challenges Posed by Locational Data Privacy

With the growth of innovative positioning technologies, research into individuals' behavioral challenges posed by location-based services has become increasingly popular in recent years.Scholars from various social sciences and management disciplines have attempted to address such challenges in order to understand and mitigate concerns for locational-data privacy.In view of the broad applicability of location-based services, we conduct a review of eight prominent IS journals to investigate and understand individuals' behavioral challenges in using such services.Our review reveals that perception of individuals' locational-data privacy is constantly influenced by their respective social norms, social reality, and cultural background as well as their current geographical or locational factor.In light of this finding, we outline possible directions and opportunities for further IS research around three philosophical approaches-"positivist", "interpretivist", and "critical"-with the aim of enriching our discussion of how and why individuals' social reality and cultural factors influence their perception of locational-data privacy.
Penerapan "Padlet" dalam Pembelajaran Menulis Teks Eksposisi

Learning to write exsposision texs is still difficult did by the teacher in teaching activity, because the students assume learning to write exposition text is bored and difficult, especially in starting writing. Based on this background, researcher conducted research with the Padlet application as media in learning to write exposition text. The objectives of this study are to find out the process of applying the Padlet application media, knowing students 'learning outcomes, knowing students' responses, and knowing the obstacles experienced when using the Padlet application in learning to write exposition text. The method used in this study is quasi-experimental or pre-experimental. The results showed that the process of applying Padlet application media made students feel happy, excited, enthusiastic, passionate, and active, interactive, responsive, in the learning process. Learning outcomes obtained an average score on the preliminary test of 61.93 and on the final test obtained an average score of 81.17. There are significant differences in learning outcomes in class X students of SMAN 2 Cianjur in learning to write exposition text after using the application Padlet. Students' responses regarding to the Padlet application responded positively. The obstacles experienced in the learning process by using Padlet are network / signals that do not support, internet data plan, full memory storage of HP, and errors from the application.Keywords : Padlet Application, Learning Writing, Exposition Text.
Árion: A Blockchain Framework for Traceability in Supply Chain Management

A complex web of relationships provides goods for manufacturing, assembling, and delivering final products known as the supply chain. Emerging technologies have been used in supply chain systems in order to provide traceability. However, these systems tend to be centralized, monopolistic, and asymmetric. As a consequence, they may result in trusting problems, such as fraud, corruption, and tampering. Blockchain technology provides a new approach for information systems based on decentralization, that can apply for supply chain systems. This work presents a Blockchain-based framework for developing applications that provide such traceability for supply chain management.
Cotton.Go’s Electronic Service Quality Improvement Using Importance Performance Competitor Analysis Approach

The number of competitors that have sprung up in the field of fashion especially in men's clothing, has caused Cotton.Go need to evaluate its e-commerce services to compete with them. Therefore, this research was conducted to evaluate the attributes of Cotton.Go’s e-commerce services by integrating the dimensions of Electronic Service Quality and Importance Performance Competitor Analysis (IPCA) method. According to research result, seven attributes of services in Cotton.Go’s e-commerce is needed for further research, which are web design, reliability, efficiency, responsiveness, security, flexibility, and fulfillment. This research produced that all of the attributes need urgent action to improve by looking at the negative performance differences value with its competitor. All attributes that need to be improved indicated that the performances are considered to be lower compared to the competitor and need immediate action to improve.
Blended Learning in Linear Algebra

This paper discusses the learning process of Linear algebra courses using blended learning.Given the design and practicality of blended learning for this course based on the author's experience teaching Linear Algebra.The purpose of this design is to increase students' understanding in learning Linear Algebra by using the blended learning method.
A Data-Driven Strategy to Combine Word Embeddings in Information Retrieval

Word embeddings are vital descriptors of words in unigram representations of documents for many tasks in natural language processing and information retrieval. The representation of queries has been one of the most critical challenges in this area because it consists of a few terms and has little descriptive capacity. Strategies such as average word embeddings can enrich the queries' descriptive capacity since they favor the identification of related terms from the continuous vector representations that characterize these approaches. We propose a datadriven strategy to combine word embeddings. We use Idf combinations of embeddings to represent queries, showing that these representations outperform the average word embeddings recently proposed in the literature. Experimental results on benchmark data show that our proposal performs well, suggesting that data-driven combinations of word embeddings are a promising line of research in ad-hoc information retrieval.