Reviewerly/exHarmony huggingface dataset:
Readiness of Ukrainian Mathematics Teachers to Use Computer Games in the Educational Process

The paper presents the opinions of mathematics teachers regarding expediency and possibility of using computer mathematical games in the educational process. The survey was conducted in urban and rural schools of Ukraine in 2019 (sample size – 48) and 2021 (sample size – 55). Teachers of all age categories and levels of school education (primary, secondary, senior secondary) were involved.As a result of the study, the growing interest of Ukrainian mathematics teachers in computer mathematical games was noted after long-term online learning during quarantine measures on COVID-19. Moreover, some teachers already use computer mathematical games to develop the knowledge and skills of both students (15%) and their own children (40%).However, every fifth teacher does not consider it necessary to use electronic games in mathematics lessons. In general, there is a trend towards their implementation at various levels of education: from school to future teachers training faculties, but there are still a number of unresolved important issues, including didactic ones.
DECISION SUPPORT SYSTEM TO DETERMINE THE OPTIMAL PRODUCTION QUANTITY USING FUZZY TSUKAMOTO METHOD ON LAMOS GARMENT

Lamos garment is a clothing factory that focuses on producing pants, with anuncertain amount every month. However, in determining the amount of production, there isno calculation or method used so that the number of products produced by garmentssometimes has advantages and disadvantages. This encourages the author to make adecision support system application to make it easier for the owner to determine the optimalamount of production each month. To design a decision support system application theauthor uses the Tsukamoto fuzzy method. Testing the system used in this study using a blackbox. Based on the results of the study, it can be concluded that the designed application canrunand function as expected.
GraphQL with Spring Boot

In the previous chapters, you saw how to implement a RESTful API using Spring Boot. This chapter will teach you how to work with GraphQL using Spring Boot.
Location of Vehicles Using Edge and Surface Image Block Features

The paper presents a novel method for vehicle location in a sequence of images. In the method, a processing of input images taken from the video camera placed above a road is applied. Input images in bitmap format are converted to binary images using analysis of small image gradients. Binary images consist of edge and surface elements. The input images are divided into square blocks of the same size and, for each block, a sum of edge elements and an average of values of the pixels that correspond to surface elements are calculated. The image blocks are classified as background and foreground on the basis of the sums of edge elements and the averages of pixel values. Located vehicles are represented by regions that include blocks classified to the foreground. The region coordinates describe the location of vehicles in individual images. Results of experiments using images obtained in good and poor illumination conditions are provided.
Securing Web Applications

Security is an essential aspect of software application design. It protects software from unauthorized access and misuse. Numerous threats are lurking around the Internet to steal users’ information. Hence, you as a software engineer must understand how to develop secure applications.
Sounds

Sounds and music within a game are very important. Using the right style of music and sound effects can alter how the player perceives the game.
Generic and Accessible Gesture Controlled Augmented Reality Platform

Augmented Reality (AR) is one of the most popular trends in, technology today. Its accessibility has heightened as new smartphones and other devices equipped with depth-sensing cameras and other AR- related technologies are being introduced into the market. AR helps the user view the real-world environment with virtual objects augmented in it. With advances in AR technology, Augmented Reality is being used in a variety of applications, from medicine to games like Pokémon Go, and to retail and shopping applications that allow us to try on clothes and accessories from the comfort of our homes. In the current times, being hands-off is utterly important due to the widespread attack of the COVID19 pandemic. Thus, an application where the necessity to touch a screen is removed would be highly relevant. In such a scenario, AR comes into play. Essentially, it helps to convert the contents on a physical screen to a virtual object that is seamlessly augmented into reality and the user interacts only with the virtual object, thus avoiding any requirement to touch the actual physical screen and making the whole system touch-free. Hence, the paper aims to propose an Augmented Reality application system that can be integrated into our day-to-day life. With the advent of technology and the digitization of almost all interfaces around us, the opportunity of augmenting these digitized resources has escalated. To demonstrate a generic application that can be used along with any digitized resource, an AR system will be implemented in the project, that can control a personal computer (PC) remotely through hand gestures made by the user on the augmented interface. The methodology proposed targets to build a system that is both generic and accessible. The application is made generic by making the AR system be able to provide an AR interface to any application that can run on a regular PC. The accessibility of the AR system is improved by making it compatible to work on any normal smartphone with a regular camera. There is no necessity for a depth- sensing camera, which is a requirement of popular AR toolkits like ARCore and ARKit.
Employee Effects on Organizational Outcomes: Korean Travel Industry

Purpose: This study aimed to identify the structural relationships among the self-efficacy, job satisfaction, organizational commitment, and customer orientation of travel agency employees in Seoul, Korea.&#x0D; Design/methodology/approach: Questionnaires were distributed to 250 potential respondents between February 1 and February 20 of 2020. The 225 valid cases were employees at travel agencies in Seoul. Data from the self-ad- ministered questionnaires were used to perform frequency, factor, and regression analyses.&#x0D; Findings: The study devised six hypotheses based on a review of the previous literature. The results found that self-efficacy positively influenced organizational commitment and job satisfaction, job satisfaction positively influenced customer satisfaction and organizational commitment, and self-efficacy and organizational commitment positively influenced customer orientation. Unlike previous studies, the validity and reliability of the constructs measuring the underlying factors were tested, and new measurement items were developed. The variation found among the statistical relationships provides support for strategic implications and fundamental data for personnel policies in the travel industry.&#x0D; Research limitations/implications: This study’s respondents’ self-efficacy was positively influenced by job satisfaction, organizational commitment, and customer orientation. Future studies may extend samples across the provinces in Korea for a comparative assessment of the results. Also, because the study focused on emotional commitment and do not consider other types of commitment, future studies should include measures of more of the dimensions of commitment to analyze relationships between organizational effectiveness and organization achievements.&#x0D; Originality/value: This study provides original and important results on the relationship between organizations and their employees.
Why mobile user experience is critical for aesthetic businesses in 2022 and beyond

Before 2020, it was already the case that the mobile user experience was important for businesses in the aesthetic sector, but now it is critical to survival and growth, says Rick O'Neill. However, what are the common mistakes made with aesthetic clinic mobile experiences, and how can they be solved?
Knowledge graph completion based on parsing graph embedding and a weighted graph convolutional network

Knowledge graph completion is an important research issue in knowledge graph construction, knowledge engineering, and natural language processing. A knowledge graph is a knowledge support for realizing accurate knowledge services in general and professional fields. It is also an important breakthrough foundation in information retrieval, question-and-answer interactions, and information recommendation. The low quality and small scale of the knowledge graph are the main bottlenecks that hinder its wide applications. The purpose of knowledge graph completion is to build a large-scale and high-quality knowledge graph for continuously updating and expanding the knowledge graph. Aiming at the difficulty of knowledge graph completion methods to extract deep semantic features from auxiliary information, such as unstructured texts, this study proposes a knowledge graph completion method based on parsing graph embedding and weighted graph convolutional network. This method uses the weighted graph convolutional network to model the semantic dependency parsing of the entity description and construct the semantic dependency parsing graph embedding. Furthermore, it introduces a multi-grained sentence-embedding generation method of the entity description, which is intended to build entity representation learning that can capture multi-grained semantics and deep-level semantic features. The experimental results on two public datasets show that the proposed knowledge graph completion approach outperforms the existing methods, thereby demonstrating its effectiveness and superiority.
Digital literacy enhancement in new normal era: Teachers' voice of sustainable professional development

Digital literacy became one skill that teachers developed during the Covid-19 pandemic. This skill is essential for teachers to be better ready in actualizing 21st-century learning in classroom practices. Therefore, this study aims to describe the teachers’ views and practices on digital literacy, and how the teachers’ digital literacy sustainably developed in the new normal era. This survey study collected the data through questionnaires to 53 junior high school teachers. This study found teachers’ agreement on the importance of digital literacy in online teaching. The online practices give teachers meaningful experiences in digital literacy. It also provided the teachers’ need for digital literacy enhancement, however only 35.8% of them have planned programs to answer their needs. The result conveys teachers’ inability to prove sustainability on digital literacy development. The implication is for policymakers to design the teacher's digital literacy development.
A SURVEY ON DIVIDE AND COUNT OBJECTS BY IMAGE PROCESSING

The need of counting objects is generalized so we systemized visual counting of object through live camera.Also object counting system that doesn't use any previous order information.The principle of object counting refers to the understanding that anything can be counted, indeed effects that can't be touched or moved.There's no need for any original reflections estimate global image counts.Divide and Count is presumably the best known general algorithm design fashion.Each image division is composed of a set of region proffers or invariant grid cells.Before, there was only one system to count the object and that was general system and in our proposed system the objects can have its specification also.
Yolo VE SSD İle Çeşitli Koşullarda Nesne Algılaması İçin Makine Öğrenimi Yaklaşımı

Object detection and recognition has been applied in many fields in recent years. It is an essential concept. object today many machine learning algorithms developed on detection are available. Of these algorithms, YOLO and SSD are often used object detection algorithms. This study Its purpose is low-level people who can perceive obstacles or dangers in the environment. real-time to be used in a costly camera system YOLO and YOLO to decide the object recognition algorithm. To study SSD algorithms. obstacle detection systems, improving image quality by getting rid of noise starts. Next, YOLOv3 and SSD for object recognition, in many cases obstacle detector i.e. basic object detector uses as. Image quality in our study objects in real time after A very convenient and efficient method of YOLOv3 to detect was found to be.
Promoting innovative teaching practices: Teachers' voices in creating E-comic based local history lesson

The current study unveils teacher's insights on creating new teaching media with local history immersion in a high school setting. It highlights teachers’ beliefs, motivations, considerations, and challenges in providing E-comic-based local history immersion experience to improve students’ knowledge and engagement. The study employed a descriptive qualitative design. The verbal data were collected through in-depth interviews with one experienced history teacher in Indonesia. To interpret the data, open coding, axial coding, and selective coding were employed. The results revealed that E-comic-based local history does stimulate students’ curiosity by moving beyond ordinary to extraordinary sensation, especially in the very beginning of teaching and learning activities. The philosophical belief also impacted teachers’ motivation in creating e-comic. To conclude, innovative touch in teaching makes teaching and learning activities alive. Based on the findings, it is proven that there is still a history teacher who can meet the challenges of 21st-century learning by creating innovative teaching, E-comic for example. Implications for history teachers are fully discussed.
Impact of Covid-19: A need analysis of digital literacy for elementary school teachers

This study aims to analyze the digital literacy needs of elementary school teachers. The research methodology used in this research is qualitative research. Data collection techniques were questionnaires, interviews, observations, and documentation. The respondents are 47 elementary school teachers from ten elementary schools. The data analysis used the (Miles et al. 2014) technique, namely data reduction, data display, and concluding. The results ICT-based activities and materials used for teaching were in the Rare Category about 62.52%. Then, the teachers’ skills which include operating specific digital technology and interpreting data, information, and digital content related to fields, belong to the rare category of about 65.24%. Based on this analysis, a solution is provided by conducting digital literacy training for elementary school teachers. This research implies that such digital literacy for elementary school teachers can be a good reference and guideline for the other schools.
SURVEY ON SUPPLY CHAIN MANAGEMENT USING BLOCKCHAIN TECHNOLOGY

With the advancement of blockchain in every field, it is also used in the agri-food supply chain.As the food supply chain is such a network where no one knows from where and what quality of food is transported and how long it takes to reach its destination.The blockchain helps to keep track of the complete chain with the help of distributed ledger.Each transaction, the quality of food, and the time required to reach its destination are saved.Supply chain management carries out all the processes from raw material to the final product.The supply chain is divided into several stages from the farmer to the customer.Although the blockchain food supply chain provides immutability of data and records in the network.In the proposed system, all transactions are written to blockchain which ultimately up-loads the data to the Interplanetary File Storage System (IPFS), along with the auction system for the buying and selling of the food items directly from the farmer.The storage system returns a hash of the data which is stored on the blockchain and ensures an efficient, secure, and reliable solution.Our system provides smart contracts and their algorithms to show the interaction of entities in the system.
SURVEY PAPER ON AUTHORIZED DE-DUPLICATION OF IMAGE AND TEXT IN CLOUD

Effective file storage and management system is very important today in order not to waste storage space provided by cloud providers.Data deduplication technology is widely used and can save only a single copy of a file, thus avoiding duplication of files on cloud storage servers.It can reduce storage capacity and save bandwidth for cloud services, resulting in significant cost savings for cloud service subscribers.Currently, the data that needs to be stored is in encrypted form to ensure security.Therefore, if data owners use their own keys to encrypt their data, cloud service subscribers will not be able to deduplicate it.
HWA Integration with Ansible

In this chapter, we will be covering HWA integration with Ansible. This integration enables Ansible playbooks to be executed on the target machines using HWA.
HWA Integration with SAP Application

In this chapter, we will be discussing about the working principle of SAP job integration with HCL workload automation. SAP stands for Systems Applications and Products in data processing.
Distance Technologies of the Creative Abilities’ Development as the Component of the Process of Formation Soft Skills

The work is dedicated to the problem of developing the creative abilities of students as a component of soft skills. The model of formation of the creative professional potential of future specialists is proposed. To describe the conceptual model, the methodology of functional modeling within the graphical notation IDEF0 is used. For the construction of creative abilities during distance learning, it is advisable to use systems of education management, to use cloud-technologies, systems of videoconferences’ organization, and messengers. The experience of the formation of the creative professional potential of students of Berdiansk State Pedagogical University with the help of distance learning is described.
Rational evaluation of substation engineering cost based on fuzzy evaluation theory

The substation project is an important part of the power system and one of the key facilities for the investment and construction of power grid enterprises. Therefore, the issue of whether the substation project cost is reasonable is directly related to the scale of capital cost expenditure of power grid enterprises but also related to the scale of enterprise operating benefits. In this context, this paper proposes the rationality evaluation method of substation project cost: firstly, we construct the rationality of substation cost based on the main component analysis, then determine the index weight, and finally, construct the engineering cost evaluation model based on fuzzy theory.
The Effect of Adding Burn Lime and Fresh Lime Variations to The Quality of Lime Mud

Recausticizing units in mill pulp have a major role in converting green liqour into white liquor and produces lime mud as a by-product. In the recuaticizing process there is the addition of calcium oxide. Two types of calcium oxide are used, i.e burn lime and fresh lime. These two types will affect the quality of the lime mud produced. The objective of this research is to identify the effect of variations of addition burn and fresh lime to lime mud quality.The target parameters of CaCO3 content &gt;86%, total alkali &lt;1% and Non-Process Elements (NPE) &lt;2%. The range of combination addition burn lime and fresh is between 0% - 100%. The optimal composition of addition of calcium oxide in the manufacture of lime mud both from a technical and cost perspective is the second variation (75% burn lime and 25% fresh lime ). The second variation gives content of CaCO3 86.80%, total alkali 0.1141% and Non-Process Elements (NPE) are P₂O₅ 0.4260%, SiO₂ 2.4344%, MgO 0.2260%, Fe₂O₃ 0.1984% and Mn₂O₅ 0 ,0068%. These result are in accordance with the lime mud quality standard.
Detection and measurement of beam deflection in the Madeira Airport runway extension using digital image correlation

Purpose Part of the runway at Madeira Airport is a platform above the sea at a 60 m height, supported by a series of frames. When aircraft land on this section, a load is exerted on the structure, resulting in bending of the beams which constitute the frames. A vision-based monitoring system was devised and implemented to measure the deflection of the runway's beams when a landing occurs. Design/methodology/approach An area on the midspan of two beams, located on the area where aircraft are most likely to land, was prepared with a speckle pattern, and a camera was assembled above a column on each of the adjacent frames, enabling the computation of displacements using digital image correlation (DIC). The camera continuously acquires images of the monitored area and compares them to a reference using DIC. If a displacement is detected, a number of frames before and after this event are saved for further DIC processing. Findings The installed systems successfully detected several events corresponding to landings and, for each of those events, measured the deflection of the beams over time and computed displacement fields for critical images, with strain values obtained up to this point being too small to measure using the current system. Originality/value This work provides novel insights into the behaviour of a unique structure and constitutes the first use of a vision system in its structural monitoring operations. It is also a valuable development in the implementation of automated DIC monitoring systems in locations of difficult access.
Initiatives toward Intelligent RAN

The network of the fifth-generation mobile-communications-system era must be able to support many and varied applications, which means ever increasing complexity.It will therefore not be easy to control and optimize network operations by manual means as done in the past.NTT DOCOMO is developing radio access network (RAN) Intelligent Controller (RIC) technology now being standardized at the O-RAN ALLIANCE with the aim of achieving more autonomous and automatic RAN operations, that is, intelligent RAN, by using machine learning and other forms of artificial intelligence, big data, etc.This article describes the state of RIC standardization at the O-RAN ALLIANCE and presents NTT DOCOMO's approach to use cases and a roadmap toward intelligent RAN.
Practices of pedagogical skills in the implementation of courses in the field of physical education and sports in a distance format

In modern conditions, no one doubts that physical culture and sports are useful and necessary for every person. A team of SPbPU authors have developed and introduced into the educational process of MOOC courses "Physical culture" in 2016, "Fundamentals of the training process of cybersports men" in 2020, posted on the National portal "Open Education". The Physical Education online course can be one example of organizing such resources. Today (and especially during a pandemic) this is one of the most popular courses with a massive audience. At the Polytechnic University, it is involved in all curricula and is compulsory for all students. Our research is devoted to further prospects for the development of the resource. Of course, it is very difficult to define the concept of "pedagogical skill" in the context of this article. However, we tried to do this, highlighting the main, from our point of view, the criteria of pedagogical excellence, which are necessary for the high-quality implementation of courses in a distance format. The online resources we have created allow us to stimulate and motivate students for personal development, organize their educational activities, including building a training system, organize pedagogical activities, monitor the success of students' development of resources, and structure classes. The implemented system made it possible to organize training during the COVID-19 pandemic without interruptions and without reducing the quality of education.