Reviewerly/exHarmony huggingface dataset:
education, higher education, quality of education, academic mobility, international students, international educational programs, COVID-19, sanctions, geopolitical situation

Currently, characterized by unprecedented anti-Russian sanctions restrictions, issues of functioning of all spheres of human activity are acute. The sphere of higher education was no exception. The agenda of economic and educational forums increasingly includes issues of ensuring the quality of higher education in the context of globalization processes, discussing the prospects for the implementation of international educational programs, analyzing the current state of international student mobility and ways to expand it to cover new areas of education, compliance of higher education with global humanistic values. In the context of globalization processes, quality issues in the field of higher education are of particular importance due to a group of factors, including: the massization of higher education, the development of cross-border education and the expansion of its opportunities due to the new forms and technologies of education, the popularization and expansion of the availability of international educational programs, the strengthening of competition of educational organizations for foreign applicants as sources of funding, etc. The effect of these factors in the international educational space, on the one hand, requires compliance with uniform standards, which include European standards and recommendations for quality assurance of higher education in the European Space (ESG–QA), on the other – may lead to a decrease in educational standards, including under the influence of external factors of the so-called insurmountable strength. We are talking about the impact of COVID-19 and the escalating geopolitical situation on the stability of international partnerships and the preservation of the principles formalized in a series of global documents on quality assurance of higher education, and the enduring universal values.
APPLICATION OF FORMAL STOCHASTIC GRAMMARS IN DETERMINING THE TEXTS AUTHORSHIP

The work is based on the author's texts individual style presence hypothesis, in particular, the sentence structure formation. In this work, the authorship of natural language texts was determined based on the sentence structure formalization in all texts of each author from the training sample. We used the restoration of a formal stochastic grammar corresponding to each work of the author with the inference rules formation and their application probability calculation based on a statistical sample. To increase the reliability of the results, a confidence interval was calculated using Student's t-test for each of the authors. During authorship establishing, a probabilistic measure of the text belonging to a formal stochastic grammar describing the individual style of the author was determined. The texts authorship established as a result of the experiment was about 80%. The performed experiment clearly showed that the proposed method is competitive among other existing ones.
TRANSDISCIPLINARY STRATEGY FOR SCIENTIFIC TRAINING: PHYSICS AND SOFTWARE ENGINEERING

Innovative activity (STEM-education, introduction of additive, digital technologies, elements of artificial intelligence, robotic systems, etc.) in the vector of development of transdisciplinary education promotes modernization of traditional educational environment, in particular in the direction of integration of physics oriented and information-technological components of scientific training, as the classic business and educational models are changing, it is possible to form personal proposals for each subject of study in the era of Industry 4.0. The authors substantiate the transdisciplinary, axiomatic-deductive, strategy of integration of scientific training according to the logical-semantic construct «physics ↔ software engineering» in the open space, which will provide unification and standardization of information in the context of physical engineering education (for example, 272 «Aviation transport», under the educational and professional programs «Maintenance and repair of aircraft and aircraft engines» and «Flight operation of aircraft»).
Using Domain-Knowledge to Improve Machine Learning

Machine Learning methods have achieved some impressive results over the past decade. However, this success was in large part a result of utilizing large amounts of data and growing computational resources efficiently. To extend this recent success to domains where large quantities of high-quality data are not readily available, the field of informed machine learning has emerged, which aims at integrating preexisting knowledge into machine learning models. The aim of this paper is to provide an overview of the major new developments in this field and to discuss important open problems.
VIDEO SUMMARIZATION

The general public now has access to a vast amount of multimedia information thanks to recent technological advancements and the quick expansion of consumer electronics, making it challenging to effectively consume video material among the thousands of options accessible. By choosing and presenting the most educational or fascinating materials for users, we provide a method to quickly summarize the content of a lengthy video document. The practice of condensing a raw video into a more manageable form without losing much information is known as video summarizing. Either a comprehensive analysis of the full movie or the local differences between neighboring frames are used to achieve this. The majority of such approaches rely on universal characteristics like color, texture, motion data, etc. Video summaries are evaluated depending on the sort of content they are formed from (object, event, perception, or feature-based) and the functionality made available to the user for consumption (interactive or static, personalized or generic). The suggested system analyses each frame of a video as input before producing a summary. Each frame receives a score that is used to compare it to a threshold value in the final phase. Every frame whose frame score exceeds the threshold is chosen as a key frame and is represented in the final movie summary. This technique enables us to condense video information of various lengths while guaranteeing that the key moments are included. The purpose of video summary is to facilitate quick access, speed up browsing through a sizable video database, and offer a condensed video representation while maintaining the core activities of the original video.
Energy modeling of thermal energy storage (TES) using intelligent stream processing system

Thermal energy storage (TES) is the core element of renewable energy system (RES) and can considerably affect its overall efficiency. An effective thermal energy storage (TES) should enhance the stratification by restricting inlet mixing. In this paper, an experimental study is presented to evaluate the performance of thermal energy storage (TES). Discharging of the tank was conducted with different inlet flow rates to assess the effect of inlet mixing on thermal stratification. Results are quantified in terms of temperature distribution, MIX, and Richardson number and were visualized to predict the behavior of TES. In addition, the data parsing is done in live mode with ad-hoc built stream-processing data layer. Finally a methodology for time series prediction in the context of TES using high end LSTM network is framed. It was concluded that discharging rate of 800 l/h has the maximum mixing and thus the worst stratification, while prediction efficiency fell well within 5.2% of the error range.
Concept of Test Data Engineering

When managing a test, item-writing (or question-making) and scoring (or marking) are the main segments; however, there is a whole package of design, including temporal planning and spatial layout, item-writing, implementation, scoring, analysis, evaluation, and feedback. Among them, the term “test data analysis” is an expression that focuses on the analysis component; however, “test data engineering,” a concept considered in this book, represents a broader perspective.
The Form of Speech Video Game Vlogger’s MiawAug in Perspective the Strategy of Speaking by Levinson

Referring to the success of MiawAug, many novice creators have created YouTube channels with the same theme (video game reviews). One of the most important parts of creating YouTube content about video game reviews is the way of speaking strategies. With good speaking techniques, the communication style spoken by the creator will be more focused and conceptualized. Therefore, this study aims to describe the speech form of MiawAug as a Video Game Youtuber using Levinson's speech strategy perspective. The method used in this study is qualitative with a note-taking technique. The data source for this research is a YouTube video from the creator of MiawAug with video samples taken at random. The data analysis technique begins with making listening, making transcriptions, data reduction and analysis, and drawing conclusions. The results show that speakers prefer a no-nonsense strategy to build intimacy and positively use small talk strategies to increase their intimacy with the video viewers.Keywords: Speaking strategies, Video game’s vlogger, YouTuber MiawAug.
National Development Antitrust Enforcement against Tech Companies in Italy: Novel Developments and Implications

Tech companies have lately become the target of vigorous antitrust enforcement in Italy. In the course of 2021 alone, the Italian Competition Authority (‘ICA’) conducted four antitrust investigations, three of which ended up with findings of anticompetitive behaviour and heavy fines (i.e. Google/Enel, Amazon/Apple, Amazon Logistics)1, and one with a referral to the European Commission (‘EC’) (i.e. Google Advertising). In this article, we briefly review these decisions and the underlying theories of harm as well as discuss the wider implications. We argue that these decisions may have far-reaching implications going beyond the local regulatory risk, for they further stretch the fashionable theories of harm the Commission has been lately enforcing against tech companies and lower the threshold for intervention in the IT space; they are inspiring other national competition agencies (‘NCA’) across the European Union (‘EU’), and, last but not least, they contribute to a worrisome, ever increasing fragmentation trend in the enforcement of competition rules against tech companies.
Possibilities of applying online learning technologies in the training of reserve officers at SibSUTIS military training center during anti-covid restrictions

The article gives some recommendations for conducting classes in distance learning. The possibilities of implementing IT-technologies are shown.
Management of adult continuing education: Сurrent state and prospects

Aim. The presented study aims to determine the role of management in the system of adult continuing education and major strategic directions for its development and improvement, paying special attention to continuing professional education. Tasks. The authors analyze Russian and foreign scientific publications on the problem under consideration; investigate management practices in the system of adult continuing education in a particular educational organization, paying special attention to the system of continuing professional education; substantiate the key role of management in an educational organization, including staff competencies, management technologies, focus on building a quality management system (QMS) aimed at improving the efficiency of the adult continuing education system; determine key trends in the development of the adult continuing education system from a strategic perspective. Methods. This study uses general scientific methods of cognition in various aspects to investigate the system of adult continuing education and to identify trends in its current state and development as well as major areas for improvement. Results. The results of the study make it obvious that IT infrastructure, staff development, and management are the most significant factors for the introduction of digital media in adult continuing education organizations. Digital and mobile technologies are important resources supporting individual training of specialists in various areas of expertise. In addition to that, various population groups require flexible educational routes in the context of changing social development factors and emerging challenges and threats, further professional development of staff in adult and continuing education, training programs focusing on the needs of students with allowance for the regional labor market, and state support for professional training and continuing professional education for the most vulnerable population groups. Conclusions. The conducted study makes it possible to identify key trends in the development of the adult continuing education system, which must be taken into consideration in order to improve management in this field.
The Exploration of Blending Teaching of Engineering Cost Training Lesson in Private Vocational School

Engineering cost has been a major issue in private vocational schools leading to problems like: lack of students learning initiative like a low self-learning ability, poor habit of preview before lesson, low attendance rate, short classroom listening time, low initiative to review after lesson, insufficient investment in practical training room, unreasonable teaching structure, high teacher mobility and inadequate teaching staff. The engineering cost practical training lesson adopts blending teaching construction and always penetrates the civic political elements. The teaching mode is online before the lesson, online and offline blending teaching mode during the lesson, and online teaching mode after the lesson. Blending teaching is great for improving the learning initiative and conscientiousness of private senior vocational students, alleviating the problem of insufficient investment in the training room of private senior vocational engineering costing major, alleviating the problem of unreasonable teacher structure, high teacher mobility and teacher shortage in private senior vocational engineering costing major.
The Exploration of the Teaching Reform in the Course of “Drawings Recognition in Construction Engineering” for the Veterans Under the Background of “1+X” Certificate System: Take a Private University in Hainan Province as an Example

A private college in Hainan Province is exemplified to introduce the construction logic of the school’s civil engineering group who is offered basic courses of “Architectural Drawing Recognition and Construction” and “Engineering Drawing”. The veterans are faced with the dual pressure of both work and study, and how to get the veterans to pass the “1+X”construction engineering drawing examination is a difficult problem for the majority of educators. Due to the limited offline teaching hours, the veterans must actively promote the integration of course and certificate. The list introduces the comparison of the course setting and teaching content before and after the “1+X” course and certificate integration, which reflects the professional skill level standards for construction engineering drawings after the course certificate integration. At the same time, it constructively explore the practice of integrating Revit and BIM civil engineering measurement GTJ2021 software into the course of “Architectural Drawing and Construction”. Finally, the dilemma and breakthroughs of implementing the “1+X” certificate of construction engineering drawing recognition are proposed from the level of students, teachers and enterprises.
A learner corpus is born this way: From raw data to processed dataset

This data article presents the development of a learner corpus (i.e. a systematic computerized web-based repository of written texts produced by language learners) from the initial phase of the development where written assignments were collected from language learners as raw data to the critical phases where the processed text data and meta data were aligned and transformed to the web interface of the corpus. The corpus developed is called the CELL (Chinese and English Learner Language) Corpus, which comprises: i) text data containing 4.2 million English words and 18 million Chinese characters; and ii) meta data including the demographic information of the participants whose text data were collected. This article first outlines the steps for collecting the text data and meta data and then explains the processes for cleaning, annotating and tagging the text data. Discussion of the problems the research team encountered with segmentation of the Chinese text data and accuracy check of the processed datasets is also included in this article. The CELL Corpus comes with the concordance and word list features which will enable language teachers and researchers to investigate frequency, accuracy and complexity of vocabulary use in learner language. The steps and processes reported in this article will inform future development of learner language corpora of different languages.
Indoor Object Classification System using Neural Networks for Smart Environments

Building new systems used for indoor assistance navigation and wayfinding in indoor places present a crucial and primary step to contributing to smart indoor environments. Indoor objects recognition and classification using deep neural networks (DNNs) present very powerful tools to assist blind and sighted persons during their indoor navigation. This chapter proposes to develop a new indoor assistance navigation system using deep convolutional neural networks. The proposed system was evaluated using different types of deep learning-based models. The developed system can be highly recommended to contribute to a smart environment and to be applied for smart homes applications. Experiments conducted in this work have shown the efficiency and the robustness of the developed indoor object classification system. Experiment results obtained are very competitive in terms of classification rates which come up to 99.9%.
Development of a Method for Generating Images of Road Signs for Training Neural Network Models to Recognize Images in Video Streams

The paper describes a mechanism for generating images containing road signs for training neural networks in pattern recognition. Faster R- CNN convolutional network was used as a neural network model. The proposed image generation method takes into account the specifics of the subject area and simulates possible distortions that make recognition difficult. During the experiments, an increase in recognition efficiency was observed as a result of adding generated images to the training set. Since generating one image requires significantly less resources than obtaining a real image, especially when achieving the scaling effect, the number of synthetic images during the experiment exceeded the number of real images used by orders of magnitude.
Incorporating Preference Changes through Users’ Input in Collaborative Filtering Movie Recommender System

The usefulness of Collaborative filtering recommender system is affected by its ability to capture users' preference changes on the recommended items during recommendation process. This makes it easy for the system to satisfy users' interest over time providing good and quality recommendations. The Existing system studied fails to solicit for user inputs on the recommended items and it is also unable to incorporate users' preference changes with time which lead to poor quality recommendations. In this work, an Enhanced Movie Recommender system that recommends movies to users is presented to improve the quality of recommendations. The system solicits for users' inputs to create a user profiles. It then incorporates a set of new features (such as age and genre) to be able to predict user's preference changes with time. This enabled it to recommend movies to the users based on users new preferences. The experimental study conducted on Netflix and Movielens datasets demonstrated that, compared to the existing work, the proposed work improved the recommendation results to the users based on the values of Precision and RMSE obtained in this study which in turn returns good recommendations to the users.
Learning styles for the development of speaking skills among young adults

Teaching English as a foreign language has become difficult when adequate communication between teachers and students is not achieved. It is important for teachers to have a firm understanding of how their students learn in order to determine what teaching methods or strategies to use in their classrooms. Should be a process of building knowledge and language skills so that learners develop their language competencies and learning abilities through different learning styles. Therefore, the main objective of the study is focused on analyzing the learning styles to improve the speaking skills of the students of second semester of the bachelor’s degree in Tourism at the Escuela Superior Politécnica de Chimborazo-Sede Orellana. The methodology that was used includes a bibliographic review, semi- structured interviews as well as a method called expert judgment. The results indicated that the students at the university had no knowledge of learning styles, leading to the development of a lesson plan to improve students’ oral fluency. Technological advances are very important in the educational field, allowing the development of each student's learning style.
Virtual Reality: The Technology of the Future

Abstract: VR is everywhere. It’s makes use of aren't simply constrained to gaming however it's also utilized by scientific college students for digital operations, trainee pilots for flight simulation, therapists to deal with PTSD in patients, and engineers for higher mechanical experiences. For an authentic and sensible revel in, manufactures want to investigate on a massive range of fronts. They want to apprehend how imaginative and prescient and belief work in actual life. The human eye is flooded with sensory inputs constantly. Electromagnetic radiation carrying vital records like color, depth, and assessment act as messengers for the attention. The photo-receptors present with inside the flat retina convert the light obtained into electric signals. The mind acts as a clear out and facilitates us see the vibrant, colorful, and third-dimensional global, as we recognize it
Feasting on Participatory Methodologies for Regenerative Food Transitions

Food is key to our lives. It nourishes us, shapes our social interactions and, as a quintessentially more-than-human concern, connects us to other species and the planet. The ways we eat both shape and are shaped by pressing social and environmental challenges that we must attend to if we are to collectively flourish. The purpose of this workshop is to gather researchers who use participatory and co-design (PD) methods, around a hybrid (virtual and real-world) table, to explore how we approach food in our transformational design research and practice aiming to nourish regenerative – socially and ecologically just – futures. In the workshop, we will share, feast on, and digest our methodological practices and approaches, with the objective to enrich each other's work, and co-construct a firmer methodological foundation for participatory food design and research.