Reviewerly/exHarmony huggingface dataset:
FOR STUDENTS OF TECHNICAL TRAINING IN THE CONDITIONS OF E-LEARNING IN MATHEMATICS

Statement of the problem. In modern conditions, a person’s readiness for independent activity is necessary in the educational, professional and personal fields, and scientific and technological progress and the industrial sector require highly qualified engineering personnel. In this connection, it is important to solve, at a new level, the issues of planning and organizing independent work in mathematics by students (future engineers). Focusing on the personality of the student in the learning process helps to increase motivation to perform independent work, and the potential of an electronic educational resource in mathematics provides additional opportunities for its planning and implementation. The purpose of the article is to identify the features of the implementation of a differentiated approach to organizing independent work in mathematics for students of technical areas of training in the context of using e-learning. Methodology is based on the requirements and recommendations of federal laws, the provisions of the activity, personality-oriented, differentiated, systemic and informational approaches. It is based on classical and innovative views on the organization of independent work and the definition of its concept. Research results. Approaches to planning and organization of independent work of students (future engineers) are determined. The idea of compiling guidelines for independent work in mathematics for students of various levels of training is proposed. Methods and tasks focused on self-learning of students using a distance course are described. Conclusion. Planning and organizing independent work in mathematics for engineering students within the framework of a distance course allows creating conditions on the subject and professionally oriented content for self-educational activities of students, taking into account their capabilities and needs. This approach makes it possible to increase the motivation for independent work in mathematics and improve the quality of professional training of future graduates.
DIDACTIC POTENTIAL OF BLENDED LEARNING IN MATHEMATICS FOR DEVELOPMENT OF REGULATORY UNIVERSAL EDUCATIONAL ACTIONS IN HIGH SCHOOL STUDENTS OF GRADES 7–9

Statement of the problem. The experience of teaching mathematics during the pandemic showed that students had difficulty organizing their own learning activities in real and virtual space, in synchronous and asynchronous learning formats. Difficulties arose in setting goals and planning activities, rational distribution of time and predicting results, as well as realizing the need to monitor, adjust and evaluate results for further mastering of the educational material. Thus, teachers faced the question of finding a solution to the identified problem in the development of regulative universal educational actions (RUEA) in high school students, in particular, during mathematics lessons in Grades 7–9. One of the tools can be blended learning, which is one of the key trends in modern education that forms a new pedagogical worldview. However, scientific papers that describe the theoretical and practical provisions for the RUEA development in high school students of Grades 7–9 in the context of using blended learning in mathematics, containing different points of view, are not enough to make a general decision. All this proves the existence of a problem: the combination of what methods, means, forms and methods in a mixed environment will ensure the RUEA development in high school students of Grades 7–9? The purpose of the article is to consider the didactic potential of blended learning in mathematics for the RUEA development in students of Grades 7–9. The methodology of the study is based on the theoretical principles of the development of information technologies and informatization of education; the main ideas of blended learning; system-activity approach; studies in the field of RUEA development; analysis of scientific publications and innovative experience on the designated problem. Research results. The didactic potential of blended learning for the RUEA development in students of Grades 7-9 is presented in the form of a map as a set of methods, tools, forms, techniques, formats of learning, depending on the model of blended learning. On the example of a topic in Algebra (Grade 9), the possibilities of “flipped learning” for the RUEA development in high school students are described. Conclusion. The methodology of the study made it possible to present the didactic potential of blended learning in mathematics for the RUEA development in students of Grades 7–9 in the form of a map focused on the main models of blended learning. The developed map can be adapted taking into account the specifics of the subject content of other disciplines and used to design the process of the RUEA development in students in the process of blended learning.
Quantifying French Document Complexity

Measuring a document's complexity level is an open challenge, particularly when one is working on a diverse corpus of documents rather than comparing several documents on a similar topic or working on a language other than English. In this paper, we define a methodology to measure the complexity of French documents, using a new general and diversified corpus of texts, the "French Canadian complexity level corpus", and a wide range of metrics. We compare different learning algorithms to this task and contrast their performances and their observations on which characteristics of the texts are more significant to their complexity. Our results show that our methodology gives a general-purpose measurement of text complexity in French.
On the Universal Transformation of Data-Driven Models to Control Systems

The advances in data science and machine learning have resulted in significant improvements regarding the modeling and simulation of nonlinear dynamical systems. It is nowadays possible to make accurate predictions of complex systems such as the weather, disease models or the stock market. Predictive methods are often advertised to be useful for control, but the specifics are frequently left unanswered due to the higher system complexity, the requirement of larger data sets and an increased modeling effort. In other words, surrogate modeling for autonomous systems is much easier than for control systems. In this paper we present the framework QuaSiModO (Quantization-Simulation-Modeling-Optimization) to transform arbitrary predictive models into control systems and thus render the tremendous advances in data-driven surrogate modeling accessible for control. Our main contribution is that we trade control efficiency by autonomizing the dynamics - which yields mixed-integer control problems - to gain access to arbitrary, ready-to-use autonomous surrogate modeling techniques. We then recover the complexity of the original problem by leveraging recent results from mixed-integer optimization. The advantages of QuaSiModO are a linear increase in data requirements with respect to the control dimension, performance guarantees that rely exclusively on the accuracy of the predictive model in use, and little prior knowledge requirements in control theory to solve complex control problems.
Is it possible to train a Turkish text-to-speech model with English data?

Most natural language processing (NLP) studies need language-specific data for that language.Some languages like Turkish have scarce data sources to train successful deep learning models.Studies like speech synthesis require dozens of hours of professionally recorded speech with its correct transcription.Creating or finding datasets for text-to-speech (TTS) studies can be quite costly for both time and financial perspectives.This study tries to observe whether English acoustic data can be used to train a Turkish text-to-speech model to eliminate the data problem.
TO STUDY PALATAL RUGAE PATTERN AND IDENTIFY ITS RELATIONSHIP TO MAXILLARY CANINE AND PRE-MOLAR POSITIONING AND GENDER IDENTIFICATION

Palatal rugae which is also known as transverse palatine folds or plica palatinae are arranged in transverse direction from the mid-palatal raphe located in mid-sagittal plane.Palatal rugae is one of the stable landmark with diversification of pattern and due to its morphological and anatomical characteristics it can be used in same way as finger prints for human identifications.Palatine rugae are important as it can be useful in many ways.Palatal rugae possess features of an ideal forensic parameter -uniqueness, post-mortem resistance, and stability.Moreover, their anatomical positioning inside the mouth keeps them well protected from trauma and high temperatures as well as stable under severe burn cases, unaltered by chemicals like nicotine, ethanol, acetyl salicylate and physical irritants.Palatal rugae pattern in different ethnic groups may differ.Preserving natural appearance in edentulous patients is a challenge.This can be done by proper teeth arrangement as per the natural positioning of the teeth.Palatine rugae can be used as a potential reference to determine canine and other teeth position, which in turn will be useful for teeth arrangement in complete denture.So the study was carried out to determine the role of palatine rugae in maxillary canine positioning as well as for gender identification.
PREVALENCE OF INTERNET ADDICTION AND THEIR USAGE PATTERN AMONG COLLEGE STUDENTS

Over the past few decades with the advent of new age smart phones, tablets and computers, the internet is readily accessible to the general population at their fingertips.There have been growing concerns globally for what has been labelled as "Internet Addiction."A descriptive survey was conducted to assess the prevalence of internet addiction and the usage pattern among college students.288 students were selected using convenience sampling technique.Data was collected using socio-demographic questionnaire, modified internet addiction test by Dr.Young and structured questionnaire for internet usage pattern.The Prevalence of internet addiction among college students were found to be 26%.Majority (98.3%) of college students were using internet on their mobile phone and 97.2% were using YouTube as the most frequently used application followed by whats app.79.9% were using internet at home and majority (86.5%) of college students were using internet for educational purposes.33.7 % of college students were using internet for 1-2 hours per day and 33.3 % were using 3-4 hours per day.In my study it was concluded that there is high prevalence of internet addiction among college students.
Blueprints to Accelerate the Student’s Academic Motivation and Engagement in Health Education

This study looked into ways to boost students’ academic interest and involvement in health education. It was designed using survey methods. Two research questions and two hypotheses were explored to achieve the research goal. The study’s population included thirty (30) government secondary school health education teachers and sixteen (16) private secondary school health education teachers in Anambra State’s Ogidi Education Zone, with no sampling done due to the study’s manageable size. Data were collected using a standardized 20-item questionnaire that was thoroughly veriﬁed by two experts. For the research questions, mean scores and standard deviation were used, and for the hypotheses, a t-test was used. The study’s main ﬁndings revealed that students’ perceivedacademicmotivationandparticipationinhealtheducationareunaffectedbythetypeofschooltheyattend (public or private). According to the research, there is no substantial difference in the types of schools that students attend(publicandprivate).Accordingtotheﬁndings,teachersshouldestablishanactivelearningenvironmentthat increases students’ perceived autonomy by giving them choices and chances for self-directed learning, which may improve their motivation and engagement.
P10-03 Developing online health community platform for enhancing physical activity in the community

Abstract Virtual communities are emerging in many aspects of health activities and widespread in health management. Online health communities offer a virtual system where people with common interest, specific health needs can exchange information and experiences with other people with the same condition as well as getting support from peer and professionals. The objective of this study is to develop an ICT platform enhancing community resident participation involving in the chronic disease prevention and physical activities. The aim of this platform is to promote physical activity of community residents for health promotion and disease prevention goal attainment. Health promotion goals for enhancing physical activity were set by health care professionals based on scientific evidence. Instead of individual plan to set the goal by themselves, the platform offered them tailored goal with their conditions and then suggested them to participate in group shared their physical activity goals. The platform encouraged the active participation of community residents though adherence physical activity of health communities in which they were members.The ICT platform provides a place where community residents with chronic conditions or even healthy people who want to promote their health be able to find an appropriate group for together prevent disease and enhancing physical activity. The platform in the study allowed community residents to develop their own communities and invite other members to participate with them. This online community intended to empower community residents to increase their involvement in their self-management and pushing the active participation in phycial activities. Function such as reminder of activity participating was added. Future study will be conducted to evaluate changes in health promotion self-efficacy, health goal fulfillment, health-related quality of life, and shared decision-making after using the Health Community Platform among community residents. Extensive research initiatives are needed to determine the impact of virtual health communities on patient outcome, the overall process as well as quality and access of care.
Could a Computer Learn to Be an Appeals Court Judge? The Place of the Unspeakable and Unwriteable in All-Purpose Intelligent Systems

I will take it that general intelligence is intelligence of the kind that a typical human being—Fred, say—manifests in his role as a cognitive agent, that is, as an acquirer, receiver and circulator of knowledge in his cognitive economy. Framed in these terms, the word “general” underserves our ends. Hereafter our questions will bear upon the all-purpose intelligence of beings like Fred. Frederika appears as Fred’s AI-counterpart, not as a fully programmed and engineered being, but as a presently unrealized theoretical construct. Our basic question is whether it is in principle possible to equip Frederika to do what Fred does as an all-purpose participant in his own cognitive economy. Can she achieve a sufficiency of relevant similarity to him to allow us to say that she herself can do what Fred can do, perhaps even better? One of the things that Fred can do—or at least could learn from experience to do—is discharge the duties of an Appeals Court judge. As set down in the ancient doctrine of lex non scripta, Fred must be able to detect, understand and correctly apply certain tacit and implicit rules of law which defy express propositional formulation and linguistic articulation. Fred has an even more widespread capacity for the epistemically tacit and implicit, clearly one of his most cost-saving kinds of intelligence. Indeed, most by far of what Fred will ever know he will know tacitly and implicitly. So we must ask: how tightly bound to the peculiarities of Fred’s cognitive enablement conditions is the character of the intelligence that he manifests? And how far down Fred’s causal make-up does intelligence actually go?
The Students’ Difficulties in Essay Writing during Pandemic Covid- 19 in English Language Education of Universitas Islam Riau

Online learning during the Covid-19 era requires educators to be creative in compiling interesting learning materials so that students can study the material well and not get bored while learning. But in reality, some of the problems faced by some students, especially those in semester 4th of the English department at the Universitas Islam Riau Riau who have been online since the beginning of the COVID-19 pandemic in 2020, have difficulty when they are writing an essay. The sample of this research is the English Language Education student in Universitas Islam Riau, which consist of 34 fourth semester students. This was investigation design which mainly analyzes quantitative data via a distributed web-based questionnaire provided as numerical data on graphics and charts. This questionnaire was based on Ceylan's (2019) questionnaire which focus on knowledge, attitudes, and behaviors. The majority of online learning aspects are connected to distance and time flexibility, student and instructor interaction, and many aspects that online learning shares with distant education. As a result, online learning may not even be ready to serve all disciplines in the same way, and that not all online learning platforms are the same. The student lacked the opportunity to practice academic writing skills and produce a solid essay product. As a result, students must practice writing as often as possible in order to produce a well-written essay. Cognitive difficulties are now defined as difficulties in the categories of writing perspective, transferring language, and writing process.
Институциональная среда образовательной организации: компоненты и их взаимодействие

In the face of contemporary challenges facing Russian society, the problem of the effectiveness of the education system is becoming more and more relevant. The processes of transformation of education and often not quite consistent testing of various models of its reform lead to many negative effects that affect the development of various social subsystems. One of the key contradictions that have caused the difficult situation of contemporary Russian education is the imperfection of the institutional environment of educational organizations, in which a complex set of regulatory, managerial, sociocultural and other problems is formed. To solve them, it is necessary to build models for optimizing the institutional environment, based on a number of theoretical approaches, the most developed among which is the neo-institutional theory. The aim of this paper is to explore the main components of the institutional environment of educational organizations as a set of normative regulators of social interactions between participants in the educational process.
Технологии и приемы ценностного воздействия на российских пользователей в региональных сетях социального недовольства

The article presents the results of an applied study of strategies for using manipulative methods of influence within the framework of social discontent networks. The manipulative strategies being implemented are based on the use of a cognitive template, which consists in forming a specific order of alternability of perception of events in users. The revealed manipulation technologies are aimed at a strong emotional response, which reduces the criticality of information perception, leads to a narrowing of the attention fixation zone, and significantly worsens the prognostic function of thinking.
Reading Motivation and EFL Learners’ Vocabulary Development Against Interest in Learning English Moderated by Teacher Competence

Reading is critical for students of English as a foreign language. Apart from the four abilities that needed desire to grow, reading is one of the most critical skills in language acquisition. Therefore, this study aims to investigate reading motivation and EFL learners’ vocabulary development against interest in learning English moderated by teacher competence. The research participants were university students (ages 18) as many as 53 students in the Riau Province, Indonesia. This research was using quantitative methods. The data were collected using a questionnaire and analyzed using the SEM (Structural Equation Modeling) technique which was operated through the Warp PLS 3.2.7 program. Finding of this study revealed that there was a significant effect on student interest in learning with teacher competence as a moderating variable. The teacher should provide an interesting text for students, especially EFL students, so that students read the English text not because they are forced by their surroundings, but because they have an internal motive to complete the work.
Neural Network Verification using Residual Reasoning

With the increasing integration of neural networks as components in mission-critical systems, there is an increasing need to ensure that they satisfy various safety and liveness requirements. In recent years, numerous sound and complete verification methods have been proposed towards that end, but these typically suffer from severe scalability limitations. Recent work has proposed enhancing such verification techniques with abstraction-refinement capabilities, which have been shown to boost scalability: instead of verifying a large and complex network, the verifier constructs and then verifies a much smaller network, whose correctness implies the correctness of the original network. A shortcoming of such a scheme is that if verifying the smaller network fails, the verifier needs to perform a refinement step that increases the size of the network being verified, and then start verifying the new network from scratch - effectively "wasting" its earlier work on verifying the smaller network. In this paper, we present an enhancement to abstraction-based verification of neural networks, by using residual reasoning: the process of utilizing information acquired when verifying an abstract network, in order to expedite the verification of a refined network. In essence, the method allows the verifier to store information about parts of the search space in which the refined network is guaranteed to behave correctly, and allows it to focus on areas where bugs might be discovered. We implemented our approach as an extension to the Marabou verifier, and obtained promising results.
How Do You Avoid Unethical Behavior When Publishing?

It may be known that there have been some recent cases in the field of publications where the IEEE has imposed severe penalties for violations of the IEEE Publication Services and Products Board (PSPB) rules. The purpose of this article is to point out typical cases to authors and show how to easily avoid such misbehavior. In this context, it is particularly important to bear in mind that in the past, behaviors that were considered to be common are nowadays rather critically viewed. This article is based on information as presented during the 2022 IEEE Panel of Editors (PoE) Meeting.
Touchless Authentication for Health Professionals: Analyzing the Risks and Proposing Alternatives to Dirty Interfaces

One of the most significant challenges for electronic services is ensuring that the person using a service is who they claim to be with an adequate level of trust. The user identity is confirmed through authentication. However, depending on the authentication method used, this process may not provide the expected security and is often bureaucratic. The authentication of healthcare professionals imposes additional challenges. For instance, they should not be exposed to touching peripherals nor remove their masks. This article presents: (i) a risk assessment of fraudulent authentication of health professionals; (ii) a pro-posal of authentication assurance levels for health professionals; (iii) a discussion of touchless authentication factors for health nrofessionals: and (iv) an emnirical evaluation of the nronosals.