Reviewerly/exHarmony huggingface dataset:
Foreign literature in the collection of a republican branch library: acquisition practices of the Belarus Agricultural Library

The Belarus Agricultural Library is a branch library which manages the collection of literature on agricultural sciences and related topics. To provide information and library services for science and production, in addition to national documents, the library’s collections are also replenished with foreign documents on paper and electronic media. Sources of acquisition of foreign literature are as follows: subscription to printed periodicals of the CIS countries, international document exchange, subscription to electronic scientific journals on the platform «Scientific Electronic Library eLibrary.ru», purchase of books, acceptance of donations and return of mistakenly withdrawn publications, receipt of documents of the Food and Agriculture Organization of the United Nations. The article provides an analysis of the acquisition of foreign publications in the collection of the Belarusian Agricultural Library over a 5-year period (2017-2021). The priority sources of acquisition of foreign documents are identified, their type and quantity are examined, and the processes of obtaining documents from each of the acquisition sources are described.
A bibliometric analysis on emerging technology research and development

&lt;p&gt;Virtual Reality (VR) refers to simulated, computer-generated environments in which a person becomes part of a virtual world or is immersed within this environment and, whilst there, is able to manipulate objects or perform a series of actions. The advancement of this emerging technology requires the sharing of discoveries and knowledge by both individual researchers and research teams. The purpose of this study was to undertake a bibliometric analysis of articles pertaining to VR research and development. Methods: This study retrieved data from the Science Citation Index Expanded and the Social Science Citation Index Expanded sections of the Web of Science. The keyword &amp;quot;virtual reality&amp;quot; was used to search for full articles published between 1993 and 2017. The retrieved articles were analysed by year, country of origin, journal, institution, and citation number. In addition, the core journals were identified based on Bradford’s law of scattering. Results: The literature relating to VR contained 11,150 articles from 96 countries released between 1993 and 2017. The majority of articles originated from the USA, with 3,482 articles (31.23%), the UK, with 1,204 articles (10.80%), and Germany, with 886 articles (7.95%). The articles were published in 223 subjects detailed by the Journal Citation Report’s subject classification. Among the 223 subjects, the top 30 subject areas can be roughly categorised into computer science, psychology, and medical groups. On the other hand, the top three institutional publishers were University College London (UCL), the University of Toronto, and the University of Washington. The most frequently cited article, by Seymour et al., demonstrated VR training in an operating room, and was published in the Annals of Surgery in 2002, and, as of September 2018, has been cited 1,375 times. The core zone of the four-zone division contains 34 journals, and published 2,780 articles. Conclusions: The data indicate that VR articles have grown steadily over the period studied. The trend reveals that VR research is likely to fall at the growth stage, and so more research and development outputs may occur in the near future. In addition, this study has identified principle subject areas, core journals, prolific authors, and research institutions expected to contribute to VR research and development.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Learning Assessment. A century of distance education in México

This research article rescues the origin and evolution of the learning evaluation process in distance education programs that have been offered in the Mexican educational system for a century. First, the historical and current context of evaluating distance education in Mexico is addressed. The method for the analysis of the information corresponds to the cycle of hermeneutic interpretation that allows triggering historical-social elements to discuss the findings found. The results are presented in the following sections: a) educational programs offered at a distance, b) elements of the formal curriculum and pedagogical approaches and c) principles of evaluation-feedback-digital technologies used in times of the covid-19 pandemic. Finally, it concludes with a reflection on the controversies in evaluating learning in the evaluation process in times of the covid-19 pandemic.
Opportunities for the development of medical education with the use of technologies. Lessons from the pandemic

The objective was to describe the conditions in which the classes were held once the confinement for non-essential activities was declared. A descriptive, cross-sectional methodology was used with a hermeneutic approach. A questionnaire was applied to a sample of 357 members of the Health Sciences student body of the Universidad Juárez Autónoma de Tabasco, Mexico, in May 2020. Semi-structured interviews were also conducted. In the results, it was identified that the student body had an Internet connection (87.1%), smartphones (82.5%), and a laptop (75.8%). The student body's activities were elaborating slides for presentations in class (78.8%) and reading in their textbooks (67.5%). The activities of the teaching staff were to comment at the end of the presentations (58.9%), and they requested the search for information for the elaboration of texts (61.8%). The student body mentioned that their stress levels increased (52.7%), and the tasks became more challenging to do (45.2%). The migration to virtual environments was not accompanied by changes in the structure of school activities, so it is most likely that when returning to face-to-face learning, the traditional class will be maintained.
Impact of multimedia technology integrated instruction on students' learning satisfaction in bhutanese classroom

In the present world of technology, students grow up with technological devices at home and in schools, which revolutionize the way they learn. Future education technology shall transform teaching and learning by providing teachers and students with a variety of new devices to work with. Thus, the study was designed to examine the impact of multimedia technology-integrated instruction on learning satisfaction of students studying at upper primary level in one of the countryside primary schools in Bhutan. A mixed methods research was adopted to ensure better understanding of the results. Following a purposive sampling technique, 45 students were selected as research samples. Over a period of three months, the participants were taught at least three lessons of science in a week using multimedia technology. Instruments such as open-ended questions and questionnaires were administered to assemble the data. The quantitative data collected from the questionnaire were analyzed and inferred using the inferential statistical t-test with significance p&amp;lt;0.05 and descriptive statistical mean and standard deviation. And qualitative data from open-ended questions were analyzed using the grounded theory coding system. The findings revealed that students were highly satisfied with learning science through multimedia technology, as it not only made the lessons easier to understand and lively to participate in, but also challenging and enjoyable. Furthermore, inferential statistics revealed that there was no statistically significant difference in satisfaction with learning between male and female students. Therefore, the researchers stipulated that the integration of multimedia technology assisted instruction had a large positive impact on increasing student learning satisfaction. The findings of this study were intended to inform curriculum reformers, educational leaders, and teachers with practical evidence that they should propose pedagogical change in classroom teaching and learning using multimedia technology.
DEVELOPMENT AND ANALYSIS OF CONTROL STRATEGY FOR BATTERY TO ENHANCE THE LIFE OF THE BATTERY WITH THE APPLICATION OF ULTRA CAPACITOR

The present scenario, in the automobile industries, due to the battery revolution in the vehicle, the need of the hour is most important today, the battery used in the vehicles and the life of the battery, which shows how efficient the battery used makes your vehicle. The main requirement of today's industrial era is the efficiency and safe operation of the battery system. To fulfil the requirements of battery conditions, a control strategy designed for the management of energy strategy. In this control strategy, a fuzzy logic controller used with a rate limiter and this strategy implemented on a storage system for hybrid energy with the use of the bidirectional multi-input converter. The strategy shows the performance of the battery with the smooth power outline; also standardize the state of charge of the ultracapacitor. The system analyzed experimentally by the hybridization of the battery-ultra capacitor with the enhancement of the life cycle of the battery.
Smart manufacturing workplace safety with virtual training, AR and haptic technologies

Accidents due to undetected fires have caused huge losses in various contexts in the world, such as in offices, manufacturing workplaces, residential areas, even in forest areas. The evacuation process in the firefighting system requires an effective and fast response. The source of fire must be found quickly to prevent it from spreading. Image processing based on an object detection system, it is believed, can circumvent this problem. The method for detecting objects is performed by the You Only Look Once (YOLO) algorithm in real-time. The most suitable YOLO model for the system is the Tiny YOLO VOC model which was built with the Darkflow framework. Besides detecting the fires, the robot can be used to ease the search process and firefighting efforts. However, it needs planning to fit the robots with the system optimized to do the best in the minimum time possible. In robotics, finding the fastest path can be solved by embedding the A* algorithm in the robot. A* algorithm is one of the artificial intelligence methods for finding the fastest path. Not many studies have applied this algorithm to the wheel robots to find the shortest path. Therefore, this A* method will be used for finding the fastest path to find the fire with accuracy by finding the best distance and route with the coordinate system. In this study, the wheel robots had three missions, finding the fire, extinguishing the fire, and returning to the starting points. The system accuracy for those missions was 100%, 83.33%, and 50%, respectively.
Formation of information competence of future specialists of culture and arts in the process of professional training in higher education institutions

The article examines the role and importance of information competence. The main attention is paid to the analysis of the teaching experience of university teachers from different European countries, a set of courses and disciplines that are offered for use in the training of culturologists and art critics. Accordingly, the purpose of the work is to analyze the features of the formation of information competence among specialists in culture and arts in the process of professional training in higher education institutions. We used particular methods as synthesis, analysis, induction and deduction, methods of comparison and abstraction. The conclusions state that during the study students get acquainted with the basics of information competence during theoretical courses, but work with its use is based on practical use. An analysis of the curricula of several European universities has shown that the integration of this element into the educational process is linked to practice.
Introduction of the latest teaching practices and development of the educational process in the field of culture and art: the experience of EU countries

Research on the development of education in the field of culture and arts is an important topic in view of the transformation processes in the EU. Although European education is based on the Bologna system of education, it is improved by modern pedagogical practices with broad elements of modern technologies. The article aims to analyze the development of education in the field of culture and artthrough the prism of modern transformational challenges in the EU. Our study is formed on the basis of both general theoretical and empirical research methods. In order to characterize the current state of the field of culture and art, the universities ofGermany, France, the Netherlands and Latvia were selected for analysis. The results conclude that the EU's joint regulatory institutions coordinate activities in the field of culture and the arts. Therefore, the main principle in the work of European universities is the emphasis on independent practical work of students and the development of individual learning trajectories.
Media dimension of modern civic education: the humanitarian aspect

The aim of the article: The aim of this article was to identify the humanitarian features of the use of media technologies in education. To achieve this goal, a analytical research was conducted onthe topic of media in education. Research methods and techniques: The historical and comparative-legal method was used to solve the issue. Using a comparative legal method, a comparative analysis of the level of using media in education was carried out. Results: As a result, conclusions were made about the sharp increase in the level of use of media in various types in the process of civic education.Conclusions: It was concluded that media have both positive and negative effects on consciousness of information. Active use of media technologies helps to recreate the learning process at a distance, involves the use of a variety of interactive activities. And, the constant use has a burden than the usual format of education. Therefore, the problem of teaching methodology of using media in education becomes relevant. As a result, it was determined that the topic of effective use of media technologies in the educational process is becoming increasingly important.
Problems and prospects of the development of creative design thinking of higher education students in the conditions of digitalization

The modern development of education is focused on acquiring special work skills: quick adaptation to working conditions, ability to work in a team, thorough knowledge of digital technologies, which are combined in the design thinking. The purpose of the article is to analyze the problems and prospects of creative design thinking of higher education students in the conditions of digitalization. The work is written on the basis of the use of general scientific cognitive research methods and special pedagogical methods: analysis, synthesis, induction, deduction, generalization, specification, abstraction, observation. The results of the study analyzed the importance of digitization of education and design thinking, the history of the concept of "design thinking" and the peculiarities of its use, problems of using digital education in design thinking. The conclusions summarize that the correct use of this technique can not only create a creative learning atmosphere but also affect its effectiveness in general. In order for the design thinking technology to be as effective as possible, we offer our own recommendations for its use: systematic identification of empathy by teachers for students, critical analysis of the application of this technique, its constant improvement, experimentation with various tasks.
Analysis of factors influencing laser dislocation speckle detection of composites under vacuum loading

The ANSYS 8-node 3D solid element solid46 was used to simulate the T300/QY8911 composite. Then, laser dislocation speckle detection under vacuum loading was simulated, the influences of different detection parameters on the detection effect were analyzed, and an experimental verification was carried out. The results showed that the laser dislocation speckle detection of the composite material was greatly affected by the defect size, defect location, and vacuum degree. When the degree of vacuum was higher, the structural deformation was more obvious, and it was less affected by the laying mode. Therefore, it was not necessary to pay special attention to the influence of the laying mode during detection. When the LTI-6200 laser dislocation speckle detection system was employed to detect the embedded defect test block, we found that defects larger than 5 mm could be accurately detected, but the detection characteristics of deeply buried defects (below 15 layers) were no longer obvious. During the detection, it was only necessary to ensure that the vacuum degree was less than 1000 Pa, with no need to pursue a higher vacuum degree. The simulation and experimental results were basically consistent. This showed that the established model was reliable and could be used to predict the detection results, which has important guiding significance for the formulation of laser dislocation speckle detection technology for use with composite materials.
The correlation evaluation model of power grid construction cost based on Apriori algorithm

Aiming at the key elements prone to deviation in the process of power grid engineering construction, this paper uses Apriori association algorithm to mine the association relationship between power grid engineering construction cost elements. Build the cost correlation model in the process of power grid project construction. On this basis, this paper establishes the diagnostic analysis model of construction cost control index based on social network analysis (SNA), obtains the key factors that eventually lead to the deviation of power grid project construction cost, and analyzes the feasibility of the model through an example. The application of this model can provide effective guidance for the cost control of power grid engineering construction and provide a theoretical basis for the scientific development of power grid engineering construction.
An Efficient Run-Based Connected Component Labeling Algorithm for Processing Holes

This article introduces a new connected component labeling and analysis algorithm framework that is able to compute in one pass the foreground and the background labels as well as the adjacency tree. The computation of features (bounding boxes, first statistical moments, Euler number) is done on-the-fly. The transitive closure enables an efficient hole processing that can be filled while their features are merged with the surrounding connected component without the need to rescan the image. A comparison with State-of-the-Art shows that this new algorithm can do all these computations faster than all existing algorithms processing foreground and background connected components or holes.
Determining The Location of Land Subsidence Observation Points Based on Lithological Data and Land Cover Changes in Lampung Province

&lt;p&gt;&lt;em&gt;Land subsidence is a phenomenon that always occurs due to natural factors as well as human actions. Land subsidence has an even impact on all fronts. Land subsidence occurs continuously, therefore it is necessary to observe the phenomenon of land subsidence periodically using the GNSS method, which requires a benchmark that serves as a reference point for observation. With the need for a new benchmark devoted to observing land subsidence, it is necessary to do spatial modeling which is useful for finding out the suitability of the location where the subsidence observation point will be made. Spatial modeling was carried out using land cover data and lithology type to then be given weight and score and determined the soil movement vulnerability class into three, namely low class, medium class, and high class. The results of the spatial modeling of subsidence vulnerability show that the area12292.60 square kilometers is low grade, 20230.64 square kilometers represents medium class and 540.32 square kilometers is high class. Based on these results, the planning of the location of new observation points was carried out in areas with moderate to high levels of vulnerability with a total of 87 points scattered throughout the cities in Lampung.&lt;/em&gt;&lt;/p&gt;
Enhancing Listening Comprehension Skill Through Research-based Learning of Vocational High School Students

This study aims to analyze the effect of Research-based Learning on Vocational High School students’ listening comprehension. This research is an experimental research that uses a quantitative approach, which is carried out using one group pre-test and post-test design. The research was held in Vocational High School PGRI 2 Kediri. The researcher takes class X Culinary 3 which was participated by 20 students as the sample with purposive reason. After the research was conducted, the following results were found: In the pre-test, students get an average score of 60.30. The average score increases in the post-test result to 70.50. Meanwhile, the result of the hypothesis test using t-test showed the result of sig(2-tailed) 0.04&lt;0.05. From the result of the data, it can be concluded that Research-Based Learning can be applied in Vocational High School to improve students listening comprehension, especially in Vocational High School PGRI 2 Kediri
Random Forest Reliability Evaluation Based on Combination Feature Selection

In the process of constructing a high-reliability risk assessment model, feature engineering largely determines the performance of the assessor. Traditional feature selection methods cannot fully consider the impact of high-dimensional indicators on assessment results, and most studies are in the process of model building. The size of the feature set is determined artificially by humans, resulting in strong randomness and low reliability. Based on this, a random forest model (IV-XGBoostRF) based on traditional risk control indicators to optimize XGBoost is proposed. The feature set is selected to establish a relatively complete high-reliability evaluation model. The results of comparative experiments show that the accuracy of the improved random forest model is increased by 0.90%, and other evaluation indicators are better than the traditional high-reliability evaluation model, which proves that The feasibility of this combined feature selection method has certain application value.
Face mask detection with temperature check

The coronavirus (COVID-19) pandemic is causing a worldwide health catastrophe, so according to the World Health Organization (WHO), wearing masks in public is an effective safety method. The COVID-19 pandemic has forced governments around the world to impose quarantines to prevent transmission of the virus. According to reports, wearing masks in public does reduce the threat of transmission of the virus. An efficient and cost-effective way to use Artificial Intelligence (AI) to create a secure environment in a manufacturing environment. A hybrid model for using a deep and classic face mask detection device will be proposed. The face mask detection dataset includes the mask, and without mask photos, it uses the Open-Source Computer Vision Library (OpenCV) to detect faces in real-time from the stay circulation through the webcam. It uses the dataset to build a computer vision COVID-19 face mask detector using Python, OpenCV, TensorFlow, and Keras. Using computer vision and deep learning, the goal is to understand whether a character in a picture or video stream is wearing a mask or not using computer vision and deep learning.