Reviewerly/exHarmony huggingface dataset:
Improved Reinforcement Learning in Cooperative Multi-agent Environments Using Knowledge Transfer.

Nowadays, cooperative multi-agent systems are used to learn how to achieve goals in large-scale dynamic environments. However, learning in these environments is challenging: from the effect of search space size on learning time to inefficient cooperation among agents. Moreover, reinforcement learning algorithms may suffer from a long time of convergence in such environments. In this paper, a communication framework is introduced. In the proposed communication framework, agents learn to cooperate effectively and also by introduction of a new state calculation method the size of state space will decline considerably. Furthermore, a knowledge-transferring algorithm is presented to share the gained experiences among the different agents, and develop an effective knowledge-fusing mechanism to fuse the knowledge learnt utilizing the agents' own experiences with the knowledge received from other team members. Finally, the simulation results are provided to indicate the efficacy of the proposed method in the complex learning task. We have evaluated our approach on the shepherding problem and the results show that the learning process accelerates by making use of the knowledge transferring mechanism and the size of state space has declined by generating similar states based on state abstraction concept.
E-LEARNING CONTENT IN TEACHING ADDITION AND SUBTRACTION WITHIN 10

According to the curriculum in mathematics for first grade in the Republic of Bulgaria, the curriculum is divided into six topics: "Natural numbers from 1 to 5 and 0. Addition and subtraction within 5", "Numbers from 6 to 10. Addition and subtraction within 10”, “Numbers from 11 to 20”, “Addition and subtraction within 20 without regrouping”, “Addition and subtraction within 20 with regrouping” and “Numbers 10, 20, 30, …, 100”. Addition and subtraction within 20, 30,…, 100”. The research work covers the first two topics.This paper aims to present a developed and experimented interactive game simulator, which is used to strengthen and improve the competencies of 7 – 8-year-old students, defined in the first two topics of the compulsory mathematics curriculum for first grade.The experiment involved 150 first-graders, divided into two groups - experimental and control. The training of the experimental group integrates the game simulator, including games created in the digital online platform learningapps.org.When measuring the effectiveness of the application of the interactive game simulator, the main criterion is the degree to which the first-graders have mastered the competencies: knowledge of the numbers from 0 to 10 and of the arithmetic operations of addition and subtraction within 10 using ten main indicators.The results of the experimental study are presented applying quantitative and qualitative analysis.The result of the experiment unequivocally proves that the application of the interactive game simulator favours the 7 – 8-year-old students’ conscious acquisition of the competencies: knowledge of the quantitative characteristics of numbers up to 10 and their notation with digits; understanding the principle of constructing the sequence of natural numbers and counting to 10 forwards, backwards and with ordinal numbers; comparing numbers up to 10; representation of numbers up to 10 as a sum of two numbers; addition and subtraction within 10; addition of three or more numbers; oral solving of word problems with one calculation using addition or subtraction; knowledge of the unit of mass - kilogram and its designation (kg); value recognition of the coins of 1 stotinka, 2 stotinki, 5 stotinki, 10 stotinki, 1 lev and 2 levs and the banknotes of 5 levs and 10 levs (the currency in the Republic of Bulgaria); addition and subtraction with the studied units of measurement.The use of electronic game-based learning content supports the consolidation and improvement of the competencies: knowledge of the numbers from 0 to 10 and of the arithmetic operations of addition and subtraction with them. The acquisition of these competencies serves as a basis for easier mastery of knowledge in the subsequent topics of the curriculum in the first grade.
The Evaluation Method for the Achievement Degree of Food Chemistry Curriculum Objectives Based on OBE Model

Based on the concept of OBE and started with the cultivation of college students’ ability, aim to establish the relationship between graduation requirements and curriculum objectives by specifying the graduation requirements of food chemistry curriculum, and then design the teaching content and assessment methods. By understanding the relationship among course objectives, assessment methods and course contents, the learning outcomes, knowledge points, task and evaluation index were established, and the evaluation method for the achievement degree of food chemistry curriculum objectives was constructed.
EDUCATIONAL ELECTRONIC PORTFOLIO AS A MECHANISM TO ASSESS STUDENTS’ COMPETENCES AND PERSONAL PROFESSIONAL QUALITIES

T. Shaposhnikova, A. Gerashchenko, T. Shabanova, K. Khoroshun, M. RomanovaKuban State Technological University (RUSSIAN FEDERATION)
Pendampingan Pembuatan Data Digital Manggis pada Kelompok Tani Bina Mandiri Dusun Nyiurbaye Gawah, Lombok Barat

A digital database of agricultural commodities is indispensable in the 4.0 and social revolution eras of 5.0. The creation of a mangosteen agricultural information system at the Bina Mandiri farmer group is vital to support the sustainability of farming activities in preparation for future export administration. This dissemination was carried out in collaboration with members of the Bina Mandiri farmer group, Nyiurbaye Gawah hamlet, Batu Mekar village, West Lombok district. The purpose of this activity is assistance in digitizing mangosteen trees in making digital maps of mangosteen distribution in the Bina Mandiri farmer group. The implementation of this activity includes: socializing the importance of digital data, collecting primary data and creating a mangosteen agriculture information system that can be connected to a WebGIS page. The result of this activity is the transfer of knowledge and technology of mangosteen mapping to the Bina Mandiri farmer group. In addition, the Bina Mandiri farmer group has digital data related to land and mangosteen trees so that it can be useful for sustainable management and utilization of the remaining space on land for planting mangosteen trees and knowledge of spacing errors that have occurred in the practice of planting mangosteen.
La motivación y el aprendizaje en la clase de educación física: reflexiones prácticas

Una de las problematicas que enfrentan los profesores en la ensenanza ecuatoriana en los ultimos anos esta relacionada con la percepcion de que los estudiantes no tienen suficientes motivaciones para aprender, esta situacion no escapa a la asignatura de educacion fisica, la que si bien es un comodin para muchos puede convertirse en fuente de inspiracion y detonante para una mejor percepcion de lo que se quiere a futuro, en cualquier caso ante las interrogantes causales las posiciones pueden variar, pero se coincide en que existe una relacion de interdependencia entre esta situacion y las practicas de ensenanza, las que no logran promover un cambio para resolver esta problematica. Aportar al debate desde una perspectiva constructiva explica que el objetivo primero se centre en explicar la naturaleza de esta relacion y, en segundo lugar, se planteen las ideas a seguir como respuesta a las demandas educativas. El estudio, basado en la sistematizacion de ideas al respecto y un estudio de campo realizado por el autor permitio diagnosticar un problema que, si bien no es nuevo, ante los ambientes de aprendizajes impuestos por la pandemia ha llegado a agudizarse, las opiniones de los estudiantes se tomaron como referente para cumplir este objetivo, al tiempo que se dejan planteadas pautas metodologicas que el profesor debera seguir para modificar esta situacion. Palabras clave: Motivacion, proceso de ensenanza-aprendizaje, reflexiones. ABSTRACTOne of the problems faced by teachers in Ecuadorian education in recent years is related to the perception that students do not have enough motivations to learn, this situation does not escape the physical education subject, which although it is a wild card For many it can become a source of inspiration and trigger for a better perception of what is wanted in the future, in any case, in the face of causal questions, positions may vary, but it is agreed that there is a relationship of interdependence between this situation and the practices teaching, those that fail to promote a change to solve this problem. Contributing to the debate from a constructive perspective explains that the first objective focuses on explaining the nature of this relationship and, secondly, the guidelines to be followed in response to educational demands are raised. The study, based on the systematization of ideas in this regard and a field study based on the author's own practice, made it possible to diagnose a problem that, although new to the learning environments imposed by the pandemic, has become more acute. of the students were taken as a reference to meet this objective, while leaving raised methodological guidelines that the teacher must follow to modify this situation. Keywords: Motivation, teaching-learning process, reflections.
La concettualizzazione del verbo ‘mettere’ in italiano

The conceptualization of space is manifested in language through diverse linguistic structures. Space, one of the most significant analytical categories not only in linguistics, introduces a variety of senses and conceptual relations in the construction of communicative meaning. While there are several approaches to linguistic studies, the most obvious choice for this type of analysis seems to be Cognitive Linguistics, with some of its theoretical currents and the Cognitive Grammar of Ronald W. Langacker (1987, 1991a, 1991b, 1995, 2008) in particular. In his works, Langacker often refers to spatial and visual relationships that provide useful illustrations to depict different conceptual structures and relationships. Indeed, the relations between visual perception and conceptualization concerns numerous aspects of the semantics of natural language (E. Tabakowska, 1999: 59). The paper aims to analyse the concept of the Italian verb ‘mettere’ (‘to put’), apparently simple and yet, as it will be shown, rich and varied in meaning.
A review on privacy protection in the internet of things using machine learning-based solutions

The internet of things (IoT) connects everyone in the world by offering a variety of applications and improving quality. In this technology, data protection is important. In recent years, many stud...
Digital Meta-Skills Development for Interdisciplinary Competence in Foreign Languages Education

The development of digital economy in the XXI century, elaboration of the networked society and communities of knowledge, digitization of education due to pandemic measures have led to revisions of the interdisciplinary and cross-sectorial job market demands of Liberal Arts university graduates' skillsets, upon entering the workforce. This, in turn, stipulates reevaluation of the interdisciplinary approaches to comprehensive professional competences in foreign languages acquisition, education, and application. The study is focused on the diagnostics of the development of meta-learning status, interdisciplinary interoperability of digital competence for students of European (English, Spanish, French, Italian, German) and Oriental (Mandarin Chinese, Japanese) Languages major programs through the span of educational activities in the time-frame of COVID-19 quarantine measures of March 2020 to April 2021. The inquiry derives a model of digital meta-skills for interdisciplinary competence in foreign languages education and professional application. The survey study is implemented to evaluate the digital meta-literacy of foreign languages majors through dimensions of interdisciplinarity of educational content, domains of professional application, soft skills, professional linguistic and communication skills, and customized digital skills for Foreign Languages Education.
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching

To investigate the role of linguistic knowledge in data augmentation (DA) for Natural Language Processing (NLP), we designed two adapted DA programs and applied them to LCQMC (a Large-scale Chinese Question Matching Corpus) for a binary Chinese question matching classification task. The two DA programs produce augmented texts by five simple text editing operations (or DA techniques), largely irrespective of language generation rules, but one is enhanced with a pre-trained n-gram language model to fuse it with prior linguistic knowledge. We then trained four neural network models (BOW, CNN, LSTM, and GRU) and a pre-trained model (ERNIE-Gram) on the LCQMCs train sets of varying size as well as the related augmented train sets produced by the two DA programs. The results show that there are no significant performance differences between the models trained on the two types of augmented train sets, both when the five DA techniques are applied together or separately. Moreover, due to the inability of the five DA techniques to make strictly paraphrastic augmented texts, the results indicate the need of sufficient amounts of training examples for the classification models trained on them to mediate the negative impact of false matching augmented text pairs and improve performance, a limitation of random text editing perturbations used as a DA approach. Similar results were also obtained for English.
Integrating On-chain and Off-chain Governance for Supply Chain Transparency and Integrity

Integrating on-chain and off-chain data storage for decentralised and distributed information systems, such as blockchain, presents specific challenges for providing transparency of data governance and ensuring data integrity through stakeholder engagement. Current research on blockchain-based supply chains focuses on using on-chain governance rules developed for cryptocurrency blockchains to store some critical data points without designing tailored on-chain governance mechanisms and disclosing off-chain decision-making processes on data governance. In response to this research gap, this paper presents an integrated data governance framework that coordinates supply chain stakeholders with inter-linked on-chain and off-chain governance to disclose on-chain and off-chain rules and decision-making processes for supply chain transparency and integrity. We present a Proof-of-Concept (PoC) of our integrated data governance approach and suggest future research to strengthen scaling up and supply chain-based use cases based on our learnings.
Combining Academic Education With Soft Skills Development: Some Common Aspects of Educational Preparation of IT Professionals and Schoolteachers

In the modern educational process aimed on preparing professionals in the applied areas, it’s crucial, along with purely professional training, to provide students both with solid theoretical background and help them to develop “soft skills” that will facilitate their smooth and efficient adaptation to the industry realities when they start their professional careers. In this paper we consider practical cases of acquiring soft skills through intensive field experience in two areas related to mathematical education.
ORCHARD: A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning

The ability to reason with multiple hierarchical structures is an attractive and desirable property of sequential inductive biases for natural language processing. Do the state-of-the-art Transformers and LSTM architectures implicitly encode for these biases? To answer this, we propose ORCHARD, a diagnostic dataset for systematically evaluating hierarchical reasoning in state-of-the-art neural sequence models. While there have been prior evaluation frameworks such as ListOps or Logical Inference, our work presents a novel and more natural setting where our models learn to reason with multiple explicit hierarchical structures instead of only one, i.e., requiring the ability to do both long-term sequence memorizing, relational reasoning while reasoning with hierarchical structure. Consequently, backed by a set of rigorous experiments, we show that (1) Transformer and LSTM models surprisingly fail in systematic generalization, and (2) with increased references between hierarchies, Transformer performs no better than random.
NEW RESEARCH ELEMENTS IN THE EDUCATIONAL MODEL FOR TOP MANAGERS: RUSSIAN EXPERIENCE

A widespread connection between education and research at universities is usually built as follows: academic staff at a university conducts research and then implements the obtained results into the educational process. It can be effective for bachelor and master programs but requires rethinking the educational programs for the executive MBA level due to several factors.Firstly, management (as a professional area) is situational because the variety of models and tools, as well as the VUCA environment, do not always unambiguously pose a problem.Secondly, top management training is focused on mastering the newest practices, innovative approaches, and methods, which, due to their novelty, are often still at the stage of development and implementation in the most leading organizations. It leads to the need to synchronize the actual development of a new management approach, practice, or method and its assimilation (i.e. learning). Moreover, top managers themselves in the retraining process increasingly act as generators of new ideas, which should be actively promoted by the new educational environment (the role of the teacher is also changing from a “translator” of new knowledge to the moderator of brainstorming sessions).Thus, the high level of both personal and professional maturity of students of such programs moves us from the model of education as the dissemination of new knowledge (when teachers share the results of the already conducted research and help students to aсquire knowledge, skills, and abilities) to the new knowledge generation in management (when students create new ideas, knowledge, and projects in the learning process and solve problems that don't yet have a solution.This article will analyze the experience of using this model in the executive MBA program "Long-term economic leadership: institutional and personal effectiveness" of the Faculty of Economics, Lomonosov Moscow State University. This program, developed for the finalists of the competition "Leaders of Russia," is held to find the most promising and talented managers from business government organizations.One of the elements of the program is a cross-cutting research project with certain goals and objectives, provided by specific business companies or government agencies. Thus, the project is aimed at solving real management problems faced by the heads of Russian companies or regions.The article analyzes both the advantages and the problems generated by the implementation of such research elements in the Executive MBA programs from 2018 until 2021.
Rehabilitation of an Internet network in 40 schools in Nabón, Ecuador

Internet access is necessary to ensure respect for the right to education, however, worldwide about 75% of school-age children in rural areas do not have access to the Internet at home, which makes it imperative the need for actions to reduce the digital gap to improve the quality of education in rural communities in Ecuador. This article describes the rehabilitation of an Internet network of 40 schools in the Nabón community, Ecuador. An earlier initiative implemented the Internet network, but lack of maintenance left it non-functional. With the support of the Municipality of Nabón, Motorola Foundation and IEEE SIGHT, a group of volunteers from IEEE Ecuador evaluated the state of the network to identify opportunities using the existing infrastructure. The commitment to the community, as well as the development of capacities, are at the center of the intervention to guarantee the sustainable development of the project. This document reports on the design, implementation, achievements and lessons learned from the rehabilitation of the Internet network.
AN INNOVATIVE WAY OF TEACHING TECHNICAL SUBJECTS USING SIMULATION SOFTWARE

L. Knapčíková, M. Trojanová, J. Husár, S. HrehováTechnical University of Košice, Faculty of Manufacturing Technologies with the seat in Prešov (SLOVAKIA)
Mixture-of-Lognormal Risk-Neutral Density Estimation Revisited: Asymptotics, Analytical Derivatives, and the Mode Constraint

This paper studies the theoretical properties and implementation issues with the risk-neutral density (RND) estimator based on the mixture-of-lognormal (MLN) approach. First, we establish the consistency and asymptotic normality of the MLN method under the correct choice of mixtures and propose a sequential test procedure to choose the number of mixtures empirically. Second, we derive analytical gradient and Hessian of the optimization problem which can be used to speed up and stabilize the numerical optimization algorithm. Third, we develop a global search algorithm with a mode constraint, which substantially improves the RND estimates by avoiding local minima and over-fitting issues. Simulation and empirical evidence suggests that our strengthened MLN approach outperforms several popular (semi)-nonparametric RND extraction methods with optimally chosen tuning parameters in various settings.
Security in Asynchronous Interactive Systems

Secure function computation has been thoroughly studied and optimized in the past decades. We extend techniques used for secure computation to simulate arbitrary protocols involving a mediator. The key feature of our notion of simulation is that it is bidirectional: not only does the simulation produce only outputs that could happen in the original protocol, but the simulation produces all such outputs. In a synchronous system, it can be shown that this requirement can already be achieved by the standard notion of secure computation. However, in an asynchronous system, new subtleties arise because the scheduler can influence the output. We provide a construction that is secure if $n > 4t$, where $t$ is the number malicious agents, which is provably the best possible. We also show that our construction satisfies additional security properties even if $3t < n \le 4t$.
A Survey on Classical and Modern Face Recognition Techniques

During the previous few centuries, facial recognition systems have become a popular research topic. On account of its extraordinary success and vast social applications; it has attracted significant study attention from a wide range of disciplines in the last five years - including “computer-vision”, “artificial-intelligence”, and “machine-learning”. As with most face recognition systems, the fundamental goal involves recognizing a person's identity by means of images, video, data streams, and context information. As a result of our research; we've outlined some of the most important applications, difficulties, and trends in scientific and social domains. This research, the primary goal is to summarize modern facial recognition algorithms and to gain a general perceptive of how these techniques act on diverse datasets. Aside from that, we also explore some significant problems like illumination variation, position, aging, occlusion, cosmetics, scale, and background are some of the primary challenges we examine. In addition to traditional face recognition approaches, the most recent research topics such as sparse models, deep learning, and fuzzy set theory are examined in depth. There's also a quick discussion of basic techniques, as well as a more in-depth. As a final point, this research explores the future of facial recognition technologies and their possible importance in the emerging digital society.