Reviewerly/exHarmony huggingface dataset:
ONE MODEL OF A POINT-RATING SYSTEM FOR EVALUATING THE KNOWLEDGE OF UNIVERSITY BACHELORS IN THE DISCIPLINE «MATHEMATICS»

The article describes the simplified model of the point-rating assessment system developed by the author, which he called the cumulative system of points in mathematics when teaching bachelors of the specialty 38.03.01-Economics, and analyzes the results of its practical application. It differs from most existing BRS models in that the points received by the student for work during the semester are not a mandatory component of the final assessment, but act as an addition to the assessment received at the intermediate certification. The proposed cumulative system of points for the discipline "Mathematics" does not require much effort from the teacher and is simple and understandable for students, while the final assessment becomes more objective. The use of a cumulative system of points leads to the activation of independent work of students during the entire period of studying mathematics, the growth of interest in the subject, which contributes to improving the quality of the educational process.
INTRODUCTION OF INTERNET TECHNOLOGIES IN THE EDUCATIONAL PROCESS OF HIGHER EDUCATION INSTITUTIONS

The article considers the ways of introduction of Internet technologies in the educational process of higher education institution. The principles of building computer training centers based on network technologies are highlighted: versatility, accessibility, use of standard network solutions and building a system based on a universal integrated database that allows you to easily and virtually unlimitedly build, transfer and scale it. Based on these principles, you can build a prototype of the Internet distance learning system, which allows you to create courses in technical, humanities and other disciplines. The technology of distance learning is described, which provides the educational process based on the use of modern information and telecommunication technologies. The conditions of efficiency and quality of teaching of students by means of distance learning are determined: favorable conditions for growth of activity of students by selection of means of training taking into account specificity of their individual cognitive properties are created; effective means of support of individual and group forms of training are used; the experimental-research basis of the educational process is expanding; the gap between the existing content of education and the achieved level of development of modern science is reduced. Peculiarities and advantages of using distance learning of students in comparison with traditional forms (full-time and part-time) are highlighted. It was found that the tutorial is one of the main components of the educational process in distance learning, which uses a set of methods and approaches to learning focused on the needs of students. The article states that one of the distance learning systems is the Moodle system, which is designed to organize online learning in a networked environment using Internet technologies.Keywords: Internet technologies, distance learning, Case technology, TV technology, Network technology, tutorial, higher education institutions, Moodle distance learning system.
A Principle-based Analysis of Abstract Agent Argumentation Semantics

Abstract agent argumentation frameworks extend Dung’s theory with agents, and in this paper we study four types of semantics for them. First, agent defense semantics replaces Dung’s notion of defense by some kind of agent defense. Second, social agent semantics prefers arguments that belong to more agents. Third, agent reduction semantics considers the perspective of individual agents. Fourth, agent filtering semantics are inspired by a lack of knowledge. We study five existing principles and we introduce twelve new ones. In total, we provide a full analysis of fifty-two agent semantics and the seventeen principles.
Assessing The Quality Of Education Through The Eyes Of Students During A Pandemic

Сonducted research in the form of a survey of students to improve the quality of education and improve the quality of optimization in the distribution of the required disciplines through the student’s eyes.
Fun Pattern Based Learning Approach for Social Studies Learning during the Covid-19 Pandemic

In the current situation, students consider a less exciting subject and less motivated to learn social studies. So that students tend to be less enthusiastic when participating in learning, especially in distance learning. This study aims to describe social studies learning innovations for students based on fun educational games for students. This research method is a qualitative method using case study techniques directly on students and literature students. The results of this study are; (1) social studies learning strategies based on fun educational games related to simple social studies materials, but packaged in interesting patterns for students so that they can increase students motivation and interest in learning, especially in social studies learning; (2) Increasing the optimization of students in understanding social studies materials with the concept of strengthening reflection in social studies learning, especially in the introduction of regions and cultures in Indonesia.
Audio and Text-Driven approach for Conversational Gestures Generation

This paper describes FineMotion's gesture generating system entry for the GENEA Challange 2020.We start by using simple baselines and expand them by using context and combining both audio and textual features.Among the participating systems, our entry attained the highest median score in the human-likeness evaluation and second highest median score in appropriateness.
Real-Time Prediction of the Trend of Ground Motion Intensity Based on Deep Learning

In order to predict the intensity of earthquake damage in advance and improve the effectiveness of earthquake emergency measures, this paper proposes a deep learning model for real-time prediction of the trend of ground motion intensity. The input sample is the real-time monitoring recordings of the current received ground motion acceleration. According to the different sampling frequencies, the neural network is constructed by several subnetworks, and the output of each subnetwork is combined into one. After the training and verification of the model, the results show that the model has an accuracy rate of 75% on the testing set, which is effective on real-time prediction of the ground motion intensity. Moreover, the correlation between the Arias intensity and structural damage is stronger than the correlation between peak acceleration and structural damage, so the model is useful for determining real-time response measures on earthquake disaster prevention and mitigation compared with the current more common antiseismic measures based on predictive PGA.
Resolução anafórica em português europeu L2: efeitos de animacidade e a posição do antecedente

This study investigates the interpretation of subject pronouns in L2 EP by Italian native speakers, to examine the following questions: In overt subject resolution, do L1 Italian - L2 European Portuguese learners behave like L1 EP speakers regarding antecedent animacy (a property at the syntax-semantics interface) at L2 developmental stages and at the near-native level?; When the antecedent in object position is animate, do L1 Italian - L2 EP learners exhibit permanent optionality in the interpretation of overt subject pronouns but not of null subjects, as claimed by Sorace (2016), a.o.? Participants were 15 adult EP native speakers, 10 intermediate, 10 advanced and 10 near-native Italian adult learners of L2 EP. They were administered two multiple-choice tasks (speeded and untimed) with a 2x2 design crossing the following variables: animacy of the matrix object (animate vs. inanimate) and type of embedded pronominal subject (overt vs. null). Results indicate that L2 learners show problems only in the areas where the L1 and the L2 differ (Madeira, Fiéis &amp; Teixeira, this volume), namely: the resolution of overt subjects in the presence of [-animate] object antecedent and the resolution of null subjects. Learners’ performance in these areas remains unstable even at the near-native level. These findings challenge the ideas that internal interfaces (syntax/semantics) are not persistently problematic and that null subjects are unproblematic in L2 anaphora resolution (cf. Sorace, 2011, 2016). They moreover point to the importance of L1 influence in L2 anaphora resolution, a factor generally played down in previous studies (e.g., Sorace, 2016).
Communication Cooperation Principles With Cultural Leadership Language Minangkabau

Da'wah is one of the most appropriate means of broadcasting religion to its adherents both monologically and in dialogue. Minangkabau cultural leader is one who is considered as a preacher for the Minangkabau community because of his role as ‘mamak’ providing protection for nephews and his people are considered to have verbal competence and cognitive experience in the religious field so that it can be emulated. The hustle and bustle of today's phenomenon about religious issues that reek of radicalism, utterances of hatred, justification of radical Islamic groups dismiss that the existence of Minangkabau cultural leaders is able to realize a prophetic leadership to build character education and lead people to have morality. This leadership strategy recalls (reincarnation) the figure of the Paderi who are oriented to the improvement of ethics and morals based on the teachings of the Divine, Qur'an and Hadith and the application of the Minangkabau philosophy of "Adat Basandi Syara ', Syara' Basandi Kitabullah" because Islam is a distinctive color of the identity of people Minang The context of Datuk Minangkabau utterance expressed through digital media globally "internet" packages that are packaged in the right formula are able to create harmony in social interaction relationships. This study analyzes the maximization of the maxims used by the Minangkabau cultural leaders to realize polite behavior in language. The purpose of this research is to describe the realization of the politeness of the language of Minangkabau cultural leaders who meet the principles of cooperation in communication that is applied by Leech's method, namely the obedience of the maxim of wisdom, generosity, humility, agreement, agreement. This research method uses descriptive qualitative in the form of words instead of numbers by involving the recording, listening, note taking and reduction techniques in data collection. In analyzing the data carried out by making identification of data that falls into the category of maxim maximization followed by classification of data then analyzed based on the criteria. The results of the analysis of the data found that the realization of maxim maximization used by Minangkabau cultural leaders which appeared most was the compliance of maxims of wisdom, modesty hearts, agreements and finally awards. The maxim of generosity is not found in the Minangkabau cultural leader's speech. These results show the speech of the cultural leader of the Minangkabau who has the power of his language as role modeling for his people. Exemplary shows the power of a leader in carrying out his ideology.
A Qualitative Study on Speaking Anxiety among Pre-Service Teachers

Despite being competent in the English language, pre-service teachers struggle a lot when it comes to public speaking. Their ability to deliver and speak competently is hindered by speaking anxiety. The purpose of this study is to determine the causes of speaking anxiety among pre-service teachers and identify how pre-service teachers cope up with speaking anxiety. This study was administered to 7 pre-service teachers using a convenience sampling technique from a reputable public state university in Southern Philippines. The findings showed that speaking anxiety among pre-service teachers is caused by the fear of committing mistakes, having high expectations from the audience, nervousness, and lack of preparation. Additionally, the techniques used by pre-service teachers to cope up with speaking anxiety include preparing an outline, practicing before the actual speech, and boosting one’s self-confidence. Research revealed that speaking anxiety can be eased by employing techniques such as exposure to speaking engagements, preparation, and believing in oneself.
On the Application of Foresight in Education for Sustainable Development

Education is the most important mechanism for achieving the Sustainable Development Goals (SDGs). One of the methodological difficulties in the implementation of education for sustainable development (ESD) is associated with its proactive, predictive nature. In this regard, when designing ESD, it seems appropriate to use technologies of futurology, particularly, the technology of foresight. The article considers the main features of foresight and examples of its application in Russian education. The results of the foresight session on the design of ESD as an innovative pedagogical system and the development of a “roadmap” for the implementation of ESD in the Russian Federation for the period until 2030 are presented. 14 experts took part in this work (21 % are with D. Sc. degree, 50 % are with Ph. D. degree; average teaching experience is 17,4 years, including 12,6 years in the field of ESD). During the STEEPV analysis, we identified the main social, technological, economic, environmental, political, and value-based factors that will affect both the education system in general and ESD in particular. The SWOT analysis allowed us to determine the characteristic features of ESD, regarding its strengths and weaknesses, opportunities, and threats. In the brainstorming mode, the main elements of the ESD roadmap for the next 10 years (trends, technologies, formats / social practices, and “jokers” / bifurcation points) were identified. In general, obtained results are consistent with the key directions of the development of Russian education to achieve the SDGs, and are also aimed at solving the main problems in the field of ESD. This research will be continued. Keywords: sustainable development, education for sustainable development, futurology, foresight, design
Application of asset tokenization, smart contracts and decentralized finance in agriculture

"This is a study for applying Decentralized Finance (DeFi) operations in a real life Agricultural finance application focusing on how assets tokenization in general and crop insurance in particular may take advantage of fundraising, global capital markets, atomic swap operations over blockchain and finally peer-to-peer trading without intermediaries under standardized regulations and revolutionary custodial services. Descriptive statistical data presentations such as graphs and tables are used to do the analysis and evaluate the development of the sector. The paper is exploring the boundaries and the depth of Decentralized Finance while focusing on Asset Tokenization Application that are being deployed mainly in different agri-businesses starting with crop insurance and ending up with tokenizing the products over blockchain. In conclusion, asset tokenization as a representational digital asset for a traditional financial instrument is becoming an increasingly important part of modern finance and “blockchainization” of the real world. This paper addresses how agriculture sector as production sector can use asset tokenization in securing the crops by smart contracts and issuing digital tokens to fundraising for micro-insurance. Also, using blockchain to tokenize the crops for future contracts while in the same time boosting the efficiency of the agribusiness finance, crop insurance, trading in primary and secondary markets as well as exploring new markets without intermediaries, are aspects that are found in the present research."
A Unified Convergence Analysis for Shuffling-Type Gradient Methods

In this paper, we propose a unified convergence analysis for a class of generic shuffling-type gradient methods for solving finite-sum optimization problems. Our analysis works with any sampling without replacement strategy and covers many known variants such as randomized reshuffling, deterministic or randomized single permutation, and cyclic and incremental gradient schemes. We focus on two different settings: strongly convex and nonconvex problems, but also discuss the non-strongly convex case. Our main contribution consists of new non-asymptotic and asymptotic convergence rates for a wide class of shuffling-type gradient methods in both nonconvex and convex settings. We also study uniformly randomized shuffling variants with different learning rates and model assumptions. While our rate in the nonconvex case is new and significantly improved over existing works under standard assumptions, the rate on the strongly convex one matches the existing best-known rates prior to this paper up to a constant factor without imposing a bounded gradient condition. Finally, we empirically illustrate our theoretical results via two numerical examples: nonconvex logistic regression and neural network training examples. As byproducts, our results suggest some appropriate choices for diminishing learning rates in certain shuffling variants.
Enhancing Students' Speaking Skills through Debate Techniques

Speaking is considered an essential skill to master. There are some problems with students, lack of communication in class, and lack of vocabulary. The purpose of this study was to improve students' speaking skills through debate techniques. This research method is classroom action research, which is used in two cycles, and each cycle has four steps: planning, action, observing, and reflection. The data presented in this study were obtained from observations, interviews, and students' speaking scores. In this study, the researcher got the result, namely the percentage of speaking. Scores in cycle one 71% passed, and 29% failed; 92% and 8% failed in cycle two. So, the increase in yield in cycle 1 and cycle 2 is 21%. Based on the data above, it can be concluded that learning English, especially speaking through debate techniques, can improve students' speaking skills.
Reasoning over Attack-incomplete AAFs in the Presence of Correlations

Attack-Incomplete Abstract Argumentation Frameworks (att- iAAFs) are a popular extension of AAFs where attacks are marked as uncertain when they are not unanimously per- ceived by different agents reasoning on the same arguments. We here extend att-iAAFs with the possibility of specifying correlations involving the uncertain attacks. This feature sup- ports a unified and more precise representation of the differ- ent scenarios for the argumentation, where, for instance, it can be stated that an attack α has to be considered only if an attack β is considered, or that α and β are alternative, and so on. In order to provide a user-friendly language for spec- ifying the correlations, we allow the argumentation analyst to express them in terms of a set of elementary dependen- cies, using common logical operators (namely, OR , NAND , CHOICE , ⇒). In this context, we focus on the problem of verifying extensions under the possible perspective, and study the sensitivity of its computational complexity to the forms of correlations expressed and the semantics of the extensions.
Novel Static Multi-Layer Forest Approach and Its Applications

The existing multi-layer tree is of dynamic linked list type which has many limitations and is complicated due to the pointer-node structure. Static array representation gives more flexibility in programming of algorithms and operations like insertion, deletion, and search. It also reduces the storage space. This paper presents a new method for representing multi-layer forest data structure in array format. It also explains various tree operations, unique data compression algorithm and migration algorithm between traditional approach and the proposed data structure. Most of the fundamental algorithms like those from artificial intelligence that employ decision trees are based on trees/forest data structure. The current paper brings a completely new idea in the representation of these data structures without employing recursion and targeting memory optimizations with reduced code complexities. The applications of forest data structures are many and span over various interdisciplinary areas of Engineering, Medicine, Aviation, Locomotive, Marine, etc. The proposed novel approach not just introduces a new method to look at the tree data structure but also provides the flexibility to adapt to the existing methods as per the user needs. A few such applications in Simulink debugging and the Forest visualisation have been discussed in detail in this paper.
Face Detection and Recognition for Security System using Local Binary Patterns (LBP)

Facial recognition has been used in several areas such as security, detection of criminals or suspects, etc. The face is considered the most important part of the human body in the person identification process since it can be considered the most important perspective in human identification. This paper proposed a real-time monitoring security system for high secured areas rather than relying on human security officers. The proposed system engages with capturing and detecting the human face using the real-time image segment captured by the web camera through the Viola-Jones algorithm. After detecting the face in the captured image, face identification can be made through the LBP by finding the similarities. Once the identification is made, automatically it recognizes the face. Open Computer Vision (OpenCV) is one of the most efficient machine learning libraries used for Object Detection. OpenCV library is used for detection, and Haar - Cascades are trained to detect certain objects. LBP is used for the face recognition process.
Innovative Methods and Technologies of Training Specialists in Postgraduate Pedagogical Education

In the context of postgraduate pedagogical education reform, transition to multi-level training of teachers, ensuring competitiveness of specialists in a reasonable labor market, issue of preparing future teachers for professional and pedagogical activities is very relevant. Since the Republic of Kazakhstan joined ranks of independent States, changes in public awareness, along with all its areas, have increased the requirements for the level of teachers’ professionalism, achievements in science and industry, and introduction of advanced technologies. The aim of this study is to consider the training of creative teachers who think innovatively, make complex pedagogical decisions, formulate problems, and change their stereotypes. The research uses a review of literature and an interview method to arrive at its findings. As part of the findings, the research reports that using research projects are a good way to train teachers
Cluster Head Selection in IoT using a Novel Hybrid Self-Adaptive Heuristic Algorithm

In current years, Internet of Things (IoT) applications has been an enormous outpouring.In the IoT network, the sensor nodes produce data uninterruptedly which directly affects the network longevity.Although the IoT applications probable are enormous, there are abundant challenges such as privacy, security, storage, load balancing, devices heterogeneity, as well as energy optimization that needs to be identified.Of those, the utilization of energy for the network is important which needs to be optimized.Numerous factors namely remaining energy, temperature, number of alive nodes, a load of Cluster Head (CH), and cost function affects energy utilization of sensor nodes.In this work, a hybrid self-adaptive Particle Swarm Optimization (PSO) -Differential Evolution (DE) algorithm is modeled to choose the optimal CH that in order to optimize aforesaid factors.Finally, the developed method performance is calculated with conventional methods regarding the energy-specific factors.The outcomes attained demonstrate that the developed technique performs better than the conventional algorithms.