Reviewerly/exHarmony huggingface dataset:
Internationalization of the activities of Russian universities in modern conditions

Today, the work of Russian universities is undergoing transformations associated both with modern global processes and their internationalization, which has lasted for decades, which makes their study an urgent research task. The purpose of this article is to determine the features of the internationalization of Russian universities in modern conditions. The methodological basis of the work was the methods of analysis, synthesis, systematization, classification, as well as monitoring and analysis of statistical data, which made it possible to consider the key factors of the modern internationalization of Russian universities. As a result of the study, it was found that today Russian universities are actively involved in the process of internationalization and define it as a strategic component of their activities. They cannot avoid the influence of international and government factors that determine the choice of current and potential partners, as well as the political context of their activities in general. Today, Russia dominates the space of its neighboring countries and has the opportunity to develop its positions in a number of other regions. Work to popularize the Russian language and education, as well as attracting foreign applicants and teaching in foreign languages, represent positions that require special attention and, with active development, will ensure the strengthening of Russia and its universities in the process of internationalization of higher education.
Implementation of the principle of continuity of education in the conditions of transition to the national education system in modern Russia

This article analyzes the development of the Russian model of continuing education and its characteristic features. The process of transformation of the system of continuing education in the context of the transition to a national education system in modern Russia is also analyzed. The problems of the previous system of continuing education are considered. The factors influencing the modern Russian system of continuing education as a whole are also analyzed. The existing problem field that arose during the reforms in the field of continuing education is considered. The strategic directions of the development of models for the implementation of the principle of continuing education in modern realities are characterized. The analysis of the existing regulatory framework in the field of continuing education is also carried out and recommendations for its improvement are given. The long-term problems that can have a negative impact on the formation of the national system of continuing education are shown and analyzed.
Cross-professional conflict management skills as a factor of success for a young specialist in the modern labor market

A modern young specialist needs to possess the softskills, which are associated with communication and leadership skills, conflict management skills to be in demand in the labor market and successful in professional activities. Softskills are part of a broader group of supra-professional skills. Modern domestic and foreign researchers in the field of education and labor pay attention to the need to reorient the education system to a deeper mastery of supra-professional skills by students. The article examines conflict management skills as part of supra-professional skills and self-management. Conflict management skills are considered from the point of view of the competence approach. A model of conflictological competence is presented. The main tasks in conflict management are considered, they are correlated with L. Gainer's organizational change management model.
Equations of Mathematical Physics

This manual presents basic methods for solving certain classes of mathematical physics equation problems. To make the book easier for students to use, the text includes a brief summary of the main theoretical facts. Each section includes solutions to examples of typical problems, and at the end of the section there are tasks for independent and in-class work, as well as answers to them. The book is intended for students and teachers of the Faculty of Informatics and Applied Mathematics of Yerevan State University. Specialists from other mathematical and engineering faculties can also use it.
Tsifrovaia transformatsiia vysshego obrazovaniia

The chapter describes current trends in the digitalization of higher education. The pros, cons and prospects of digitalization of higher education in the technologically advanced era are considered. It offers pedagogical recommendations for the introduction and development of active digital learning, identifies barriers to its implementation and analyzes the necessary institutional actions to accelerate its implementation.
Evaluation of Socio-Cultural and Political Factors on Small Scale Business Performance

The research explores the influence of environmental factors on the performance of Small and Medium Scale Enterprises (SMEs) in Oda, Ondo State. Primary data were gathered through the administration of questionnaires to the selected SMEs. Analysis of the data was conducted utilizing Simple Percentage, Chi-Square (X2), and Regression Techniques. The findings of this study clearly show that political and social-cultural factors have significant impact on SMEs performance in Ondo state with the result of hypotheses shown that there were significant positive effect of political and socio-cultural factors through monetary and fiscal policies on the existence of small scale business in Ondo state as the situation was showed through t-statistic and p-value (P= 0.022&lt;0.05) on coefficient value (t=2.098&gt;2.00) and F-stat value 7.617= p(0.034) that showed the robustness of the model with significant differences on the impact of economic factor through government measurement and control from how it was before the inception of this government tenure in Ondo state. The research concludes that environmental factors significantly affect the performance of SMEs in Niger State. In light of these findings, it is recommended that owners and managers of SMEs strategically involve themselves in ongoing monitoring and environmental scanning. This involves a thorough analysis of strengths, weaknesses, opportunities, and threats to consistently assess the overall health and vulnerabilities of their businesses.
Neural Network Based Machine Translation Systems for Low Resource Languages: A Review

Machine translation of documents into regional languages has important role nowadays. Deep neural networks are used in neural machine translation (NMT), which is the process of converting a set of words from one source language to some other. It is a neural network-based, fully automated translation technique. Instead of just translating a word on its own, NMT takes into account the context in which a word is used to produce more accurate translation. Instead of starting with a set of established rules, the neural network in neural machine translation is in charge of encoding and decoding the source text. MT has several advantages as compared to the traditional translation techniques and approaches. Critical analysis of different approaches used for machine translation of low resource languages were done here. Deep learning based machine translation systems, transformer learning, transfer learning techniques are some of them. After the study it is concluded that nowadays NMTs developed by taking the advantages of Deep neural networks and transfer learning approaches. Gives better accuracy than other systems. Though it is a tedious task to convert one or multiple languages to another language with 100% of accuracy as manual translation, the machine translation systems developed with these techniques can score a remarkable accuracy. As there is a lack of large parallel corpora for most of the Indian languages, the translation process become more tedious. The role of transfer learning comes in this point. Transfer learning can improve translation of low resource languages, as it can use prior knowledge in translation of a separate language pair in machine translation. This is a work done for developing a translation system for low resource language pair like Sanskrit and Malayalam. There’re very less research works done in Sanskrit and Malayalam machine translation.
Signal processing and machine learning in healthcare

Machine learning is the field of artificial intelligence and its important branch. With the continuous innovation of technology, its application in the medical field is increasingly extensive and in-depth. In view of the current human eye discrimination instability and lack of experience, this paper proposes the application of machine learning method, through the training of various attributes of breast cancer data, so that the breast cancer diagnosis system can automatically diagnose malignant breast cancer patients, reduce the influence of human operation on the existence time and experience.
Examining Automatic Generated Language Features of Chinese Spontaneous Speech for Early Detection of Cognitive Decline

Abstract Background Connected speech is sensitive on detecting cognitive decline in early Alzheimer disease. In this study, we apply artificial intelligence to develop an automatic assessment for analyzing speech data. Method 79 samples of picture description speech data were collected. All participants were native Chinese speakers including 31 normal controls (59‐88 yrs) and 49 patients (amnestic mild cognitive impairment and early Alzheimer’s disease) (58‐88 yrs). We extracted 16 linguistic features from the manually transcribed text. These linguistic features were generated by well‐trained linguists or automatically processed by the machine. We also trained decision tree models with those two sets of linguistic features. Seventy percent of the data was used for training and the remainder was used for testing. We also applied a cross‐validation method to avoid overfitting. Result Total words, unique words, and content words generated from linguists or machines were highly correlated (about r = 0.99, p &lt; .001). However, the correlations between verb ratio, mean length of sentences, and filler ratio were relatively low (about r = 0.75, p &lt; .001). With manually corrected features, the model could achieve 91.67% accuracy. Among them, the pronoun ratio and MLU (mean length of utterance) appeared to be equally crucial for model prediction. By contrast, with automatically generated features, the model achieved 83.33% accuracy only. MLU and MLS (mean length of sentences) were essential features for prediction. Conclusion Automatic assessment could also achieve a good accuracy rate compared to humans (83.33% v.s. 91.67%). Some linguistic features such as fillers or sentences were still highly dependent on the expert’s judgment. Interestingly, MLU was critical in the prediction model of automatic or experts.
AI ChatBot for Android App

Abstract: This abstract outlines the development of an AI-based chatbot solution designed to enhance user experience within Android applications. The chatbot serves as a virtual assistant, guiding users through different segments of the queries and facilitating various actions. It offers real-time suggestions to users, highlighting features and solutions that users may not be aware of, ultimately leading to a more efficient and intuitive application experience. The primary objective of this AI chatbot is to empower users by simplifying user understanding through an android app. This navigation assistance spans from basic tasks such as finding specific features to more complex questions, making it an valuable tool for both novice and experienced users. Moreover, the AI chatbot goes beyond mere guidance by offering proactive suggestions and leveraging its understanding of user preferences
The Correlation Between English Learners’ Motivation and Speaking Achievement

This research aims to determine the correlation between English learners’ motivation and speaking achievement due to the lack of student motivation, particularly in speaking skills that affect the speaking score. The samples of this study were 19 students taken from the second semester of the English Department at the Muslim University of Maros. The method used was mixed methods with correlational technique. Quantitative data was collected by distributing questionnaires to students using Gardner's Attitude/Motivation Test Battery (AMTB) indicators and the speaking scores taken from the speaking lecturer. Then, qualitative data was collected through semi-structured interviews. In analyzing quantitative data, questionnaires assessed by Likert Scale and speaking scores were analyzed using SPSS, while the qualitative data used Miles and Huberman analysis. The quantitative data results indicate a correlation between the motivation of English learners and speaking achievement, with a score of 0.672. It is considered that the higher the motivation in learning speaking, the better the speaking achievement the students achieve. Students with high motivation will try to follow the learning process intensively compared to those with less motivation. Furthermore, students' extrinsic and intrinsic motivation were analyzed by looking at the AMTB’s Gardner and the results of the interview as well. The data results indicated that students show extrinsic motivation more than intrinsic motivation in their speaking achievement.
Client-centricity in the professional development of public civil servants (experience of the Krasnodar territory)

The presented article describes the results of the survey, the purpose of which is to assess the level of satisfaction of civil servants with their own professional development and to identify factors that increase the involvement of employees in the process of professional development. The authors introduce a client-centric approach to the process of training civil servants, while developing and implementing additional professional programs, I focus on the educational needs and needs of listeners. The result of the study was the identification of several conditions that increase the client-centricity of the development and training process. Such conditions include the fixation of awareness of the need for development; an objective assessment of one's own professionalism: success, the presence of scarce competencies, potential; provision of resources and conditions; consideration of the wishes of employees during development and training activities; integration of training into professional activities.
Exploring the influence of parenting competences on children’s emotional regulation and its relationship with classroom learning: A qualitative research study

Emotional regulation is closely connected to classroom learning, so the influence of the family on the child’s emotional regulation capacities is an important factor to consider. The objective of this study was to obtain working knowledge of the skills and cognition possessed by a group of parents in relation to their parental competences linked to emotional regulation of their children, and identify the strengths, weaknesses, and potentials of these parental competences. The research was carried out through a qualitative methodological design, based on the knowledge, skills, and practices that parents have on the emotional regulation of their children, considering that these practices are key to classroom learning and therefore to academic performance. As a methodological strategy of the investigation, the case study will be used, with a sample of a group of 28 fathers and mothers, with infant-age children (0–12 years) obtained through a network of parents and an Infant School in Madrid (Spain). Through semi-structured interviews and questionnaires, the knowledge, skills, and practices that these parents carry out in the emotional regulation of their children were discovered. Concluding that it is necessary to reinforce some parental skills for improve the emotional regulation of their children, through courses, seminars, and family educational workshops, to put them into practice in a positive way, since this will influence learning (through motivation, communication, self-esteem, etc.).
Efektivitas Penggunaan Aplikasi Quizizz sebagai Media Evaluasi Hasil Belajar Siswa

Technological and communication advances have a significant impact on various sectors of life, especially in the world of education. The use of technology in learning aims to improve the quality of education. One form of technology utilization is through the use of the Quizizz application as a medium for evaluating student learning outcomes. Therefore, this article is written with the aim of describing the effectiveness of using quizizz as a medium for evaluating student learning outcomes. The method used in this article is the library study method (library research) which is based on literature from accredited national journals sinta two (2) to sinta six (6) for the last 5 years, obtained from Google Scholar.The results of the study obtained show that the use of the Quizizz application as a medium for evaluating student learning outcomes is very effective and suitable for use as a medium for evaluating student learning outcomes. Based on the results of the study that has been obtained by the author, we can know that the effectiveness of Quizizz as an evaluation media can be seen from the Quizizz features that make it easier for teachers and students to carry out the evaluation process. The use of Quizizz as an evaluation media is relatively cheap and practical when compared to using conventional paper-based methods. In addition, evaluation using Quizizz can encourage students to improve learning outcomes because students feel motivated when taking quizzes on the platform.
Some tactical problems of identifying and evaluating digital traces of computer crimes

The article discusses the concepts of “digital forensics”, various opinions of the authors considering issues related to digital traces, as well as their assessments when used in evidence. Some recommendations are also offered to investigators on the search for digital traces, tactics of investigative actions in the investigation of crimes in the field of IT technologies and on errors of proof. Some proposals have been formulated to consolidate the provisions on the storage of computer information at the legislative level. As conclusions, the questions characterizing the process of proof in the investigation of computer crimes are given.
Blockchain beyond cryptocurrencies: An exploration of potential applications

Blockchain technology, primarily acclaimed for its instrumental role in underpinning cryptocurrencies, has seen rising prominence in a multitude of applications outside the digital currency realm. Its decentralized infrastructure coupled with cryptographic integrity offers solutions to longstanding challenges across various industries, including supply chain, healthcare, and finance. This research endeavor delves into these multifarious applications, providing insights into the potential benefits and the existing impediments in the broader adoption of blockchain technology.
Application of YOLOv5 for mask detection on IoT

The combination of the Internet of Things and deep learning technology is usually accompanied by many problems, such as limited bandwidth and computing resources. IoT combined with deep learning often causes system freezes or delays due to limited computing resources. Upgrading the hardware equipment of the IoT system requires a large economic cost, but using a lightweight deep learning model can reduce the consumption of hardware resources to adapt to the actual scene. In this paper, we combine IoT technology and improve a lightweight deep learning model, YOLOv5, to assist people in mask detection, vehicle counting, and target tracking, which does not take up too many computing resources. We deployed the improved YOLOv5 on the server side, and completed the training in the container. The weight file after training was deployed in Docker, and then combined with Kubernates to get the final experimental results. The resulting graph can be displayed by opening a browser at the edge node and entering the relevant IP address. Users can also perform certain operations on the results in the front end of the browser, such as drawing a horizontal line in the road to complete the local vehicle count. These operations are also fed back to the server for interaction with developers. For improved YOLOv5, the recognition speed and accuracy are faster than before. At the same time, compared with the previous version, the model itself requires less storage space and is easier to deploy, making the model easier to implement in the operation of edge nodes. Theoretical analysis and experimental results verify the feasibility and superiority of the proposed method.
Evaluating numerous techniques for the effects of electromagnetic waves on the Electro Cardio Gram (ECG)

&lt;p&gt;Nowadays, due to the widespread use of mobile phones and the proliferation of mobile towers the human body parts especially the heart are getting affected. Furthermore, these waves are ubiquitous in our modern society, with various sources emitting these waves in our environment. As medical devices become more prevalent and wireless technologies continue to advance, concerns have been raised regarding the potential impact of electromagnetic waves on human health. It is important to monitor the condition of your heart. With the increase in the number of mobile phones, there is also an increase in electromagnetic radiation, which can affect the human heart. The heart is an important component of the human body and an electrocardiogram (ECG) can provide valuable information about its condition. ECG parameters can show how well the heart is working. In this paper, the author proposes how ECG parameters change under the influence of mobile phones in three different situations. A comprehensive experimental setup was devised. A group of healthy human subjects volunteered to participate in the study, with each subject undergoing ECG recording under controlled conditions. The subjects were exposed to varying intensities and frequencies of electromagnetic waves generated by a standardized source. Statistical analysis was performed to compare the ECG measurements obtained during exposure to electromagnetic waves with those obtained in a controlled environment without electromagnetic wave exposure. This study contributes to the growing body of research on the potential health effects of electromagnetic waves. By specifically focusing on the ECG signal, which is vital for cardiovascular diagnostics, this research provides valuable insights into the safety and reliability of using ECG in environments with electromagnetic wave exposure. The findings will help inform healthcare professionals, engineers, and policymakers to establish appropriate guidelines and safety measures concerning the use of medical devices and wireless technologies in proximity to patients or individuals with cardiac conditions.&lt;/p&gt;