Reviewerly/exHarmony huggingface dataset:
Interdisciplinarity in natural science and humanities as the basis for the development of education

The author analyzed the contradictory statements regarding the present and future of Russian education related to the choice of knowledge priorities between natural sciences and humanities. The author notes that pedagogical science should abandon the paradigm choice between the humanistic values of education and rationalistic technological approaches to the learning process. The author believes that the changes in humanities knowledge should be considered as a consequence of changes in the natural science knowledge. This fact testifies to the mutual penetration of various ways of thinking and the dualistic unity of seeming opposites. By interpreting the technocracism as a concept of the power of professionals based on scientific and technical knowledge, the author suggests that the development of education should be based on dualistic unity, and not on the contrast between natural science and humanitarian knowledge. The author notes that at the current stage of the development of civilization the priority task is to prepare transprofessionals with integral interdisciplinary professional competencies that are able to solve professional tasks at the intersection of various sciences, while understanding the social consequences of their actions. According to the author, technocratism ensures the transition from ideas about the desired image of a graduate of an educational institution to a truly developed professionally competent person with fundamental education. At the same time, humanistic values determined by the culture and national traditions of their country should provide high ethical and moral personal qualities of a transprofessional, without which sufficient civic responsibility and an active life position in conditions of continuous technogenic transformations in all spheres of life are impossible.
Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization

This paper advances the theory and practice of Domain Generalization (DG) in machine learning. We consider the typical DG setting where the hypothesis is composed of a representation mapping followed by a labeling function. Within this setting, the majority of popular DG methods aim to jointly learn the representation and the labeling functions by minimizing a well-known upper bound for the classification risk in the unseen domain. In practice, however, methods based on this theoretical upper bound ignore a term that cannot be directly optimized due to its dual dependence on both the representation mapping and the unknown optimal labeling function in the unseen domain. To bridge this gap between theory and practice, we introduce a new upper bound that is free of terms having such dual dependence, resulting in a fully optimizable risk upper bound for the unseen domain. Our derivation leverages classical and recent transport inequalities that link optimal transport metrics with information-theoretic measures. Compared to previous bounds, our bound introduces two new terms: (i) the Wasserstein-2 barycenter term that aligns distributions between domains, and (ii) the reconstruction loss term that assesses the quality of representation in reconstructing the original data. Based on this new upper bound, we propose a novel DG algorithm named Wasserstein Barycenter Auto-Encoder (WBAE) that simultaneously minimizes the classification loss, the barycenter loss, and the reconstruction loss. Numerical results demonstrate that the proposed method outperforms current state-of-the-art DG algorithms on several datasets.
Integration of higher, general, additional pedagogical education

The modern development of society requires a new system of education – "innovative training", which would form the trainees' ability to projective determination of the future, responsibility for it, faith in themselves and their professional abilities. The main legislative documents "The UNESCO IITE Educational Program for the training and professional development of teaching staff", "The Strategy of innovative Development of the Russian Federation until 2024", "The Law on Education in the Russian Federation", "The Concept of the development of additional education", Federal State educational standards, local regulations of various subjects of the Russian Federation in the field of higher, general and additional education raises the problem of integration of these education systems into the category of important state tasks and at the same time determines its relevance. The article is based on the materials of a research on the use of general and additional education resources in the training of future teachers conducted at Shadrinsk State Pedagogical University. Online questionnaires, interviewing students, solving pedagogical problem situations and modified methods of Ehlers T., Klyueva N.V., as well as methods of studying communicative and organizational abilities (COA-2) were used as diagnostic tools. The conducted research made it possible to design a system of training future teachers in the conditions of integration of higher, general and additional education, including components: setting and goal-setting, organizational-activity, performance-evaluation. During the conducted experiment, the effectiveness of pedagogical conditions in the implementation of this system was proved. The result of the work done is the development of a model for training a future teacher in the conditions of integration of higher, pedagogical and additional education systems, which can be implemented in the practice of pedagogical universities.
Strategy for the formation of innovative campuses is the basis for building a smart city in the context of digitalization

The paper is aimed at substantiating strategic alternatives for the formation of a campus functioning model based on an innovative approach, at studying and analyzing the functions of a planned campus as the core of an urban innovation system, an innovation institute and an educational organization of higher education. The paper updates the idea of promoting the smart education paradigm in Russia. The given paradigm is based on self-directed, motivated, flexible, resource-enriched, technological education that brings together smart learners, smart teachers and smart environments, including both formal and non-formal learning. It also involves a personalized approach to learners with the goal of acquiring necessary knowledge, skills, abilities, and competencies. In other words, the arrangement of university complexes should inspire scientists to new promising discoveries, and instill an attentive attitude to the environment in students. The relevance of the study is conditioned by the need of improving the efficiency of innovation cycle subsystems: support and dissemination of knowledge, production of new knowledge, commercialization and practical application. The conclusion that the campus mission is to develop every subject of interaction, create conditions for achieving the aims of the state, society, business, employees and students of the campus is made and justified in the paper.
Development of professional competencies in students of pedagogical classes in the collaboration system "school – university”

The study describes the development of professional competencies in students of pedagogical classes in the collaboration system “school-university”. The significance of the issue is due to the lack of a program for the flexible entry into the teaching profession and the lack of a clear and variable system of professional orientation for students. The study used the research methods such as theoretical analysis, review of scientific literature and information from Internet resources, comparative analysis and interpretation. The study revealed a positive dynamics of indicators. The arithmetic mean value of the level of development of the EG competencies was 73.87 %, which was 29.47 % more than the results of the entrance test. And the average score of the same EG on the basis of control testing was 82 points. This result indicates the high efficiency of the methods and the format of interaction between the ChSPU and general educational organizations of the Chechen Republic. The study offered a program for the phased development of professional competencies in students in psychological and pedagogical classes, which can serve as the basis for developing a program for advanced training of secondary school teachers to organize specialized psychological and pedagogical classes in schools.
Functional model of an engineering class at a university

The relevance of the study is based on the fact that the program of socio-economic development focuses on the expansion of science-intensive production focused on information and digital technologies. Therefore, the demand in engineers for modern production becomes the social order of society. The purpose of the study was to develop a functional model of the engineering class at the university. This will create conditions for the training of school graduates aimed at obtaining technical education with a high level of natural science and technological training. The paper is devoted to the problem: what is the functional model of the engineering class at the university? The functional model of the engineering class for high school students includes functional and structural components that ensure the formation of competencies among schoolchildren necessary for a future student mastering an engineering educational program. The following abilities of high school students serve the indicators of the efficiency of the developed model: ability to formulate and argue their point of view; work individually and as part of a team; master information and communication technologies; readiness for continuing education at the university and self-education; possession of the fundamentals of systemic thinking.
Image Segmentation by Agent-Based Pixel Homogenization

Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image. Segmentation methods are highly sensitive to the lack of homogeneity in regions or objects owing to noise and intensity inconsistencies. Under such conditions, most approaches exhibit poor quality performance. This paper proposes an agent-based model approach for homogenization of images to reduce the presence of noisy pixels and undesirable artifacts. In our approach, each pixel in the image represents an agent, and a set of rules evaluates the states of neighboring agents to modify the intensity values of each pixel iteratively until different regions from the image assume homogeneous grayscale levels. The proposed method has been used in combination with the Otsu’s method to evaluate its performance in image segmentation. The approach was evaluated with different types of images considering their homogeneity. Experimental results indicated that the proposed approach produces better-segmented images in terms of quality and robustness.
A Cross Language Code Security Audit Framework Based on Normalized Representation

With the rapid development of information technology, audit objects and audit itself are more and more inseparable from software. As an important means of software security audit, code security audit will become an important aspect of future audit that cannot be ignored. However, the existing code security audit is mainly based on source code, which is difficult to meet the audit needs of more and more programming languages and binary commercial software. Based on the idea of normalized transformation, this paper constructs a cross language code security audit framework (CLCSA). CLCSA first uses compile/decompile technology to convert different high-level programming languages and binary codes into normalized representation, and then uses machine learning technology to build a cross language code security audit model based on normalized representation to evaluate code security and find out possible code security vulnerabilities. Finally, for the discovered vulnerabilities, the heuristic search strategy will be used to find the best repair scheme from the existing normalized representation sample library for automatic repair, which can improve the effectiveness of code security audit. CLCSA realizes the normalized code security audit of different types and levels of code, which provides a strong support for improving the breadth and depth of code security audit.
Self-Supervised Spontaneous Latent-Based Facial Expression Sequence Generation

In this article, we investigate the spontaneity issue in facial expression sequence generation. Current leading methods in the field are commonly reliant on manually adjusted conditional variables to direct the model to generate a specific class of expression. We propose a neural network-based method which uses Gaussian noise to model spontaneity in the generation process, removing the need for manual control of conditional generation variables. Our model takes two sequential images as input, with additive noise, and produces the next image in the sequence. We trained two types of models: single-expression, and mixed-expression. With single-expression, unique facial movements of certain emotion class can be generated; with mixed expressions, fully spontaneous expression sequence generation can be achieved. We compared our method to current leading generation methods on a variety of publicly available datasets. Initial qualitative results show our method produces visually more realistic expressions and facial action unit (AU) trajectories; initial quantitative results using image quality metrics (SSIM and NIQE) show the quality of our generated images is higher. Our approach and results are novel in the field of facial expression generation, with potential wider applications to other sequence generation tasks.
A Deep Reinforcement Learning Approach for Competitive Task Assignment in Enterprise Blockchain

With the advent of Industry 4.0, the demand of high computing power for tasks such as data mining, 3D rendering, file conversion and cryptography is continuously growing. To this extent, distributed and decentralized environments play a fundamental role by dramatically increasing the amount of available resources. However, there are still several issues in the existing resource sharing solutions, such as the uncertainty of task running time, the renting price and the security of transactions. In this work, we present a blockchain-enabled task assignment platform by performance prediction based on Hyperledger Fabric, an open-source solution for private and permissioned blockchains in enterprise contexts that outperforms other technologies in terms of modularity, security and performance. We propose a model-free deep reinforcement learning framework to predict task runtime in agents current load state while the agent is engaged in multiple concurrent tasks. In addition, we let clients choose between prediction accuracy and price saving on each request. This way, we implicitly give inaccurate agents a chance to get assignments by competing in price rather than in time, allowing them to collect new experiences and improve future predictions. We conduct extensive experiments to evaluate the performance of the proposed scheme.
Commercialization of the Study Sustainability Learning Chatbot Through Digital Education Teaching Factory Based on Profit Sharing

Teacher income in Indonesia is very low as the majority of private and honorary teachers.In fact, the current administration is less concerned about the fate of teachers, which can create a bad view of the level of teacher welfare in Indonesia.The purpose of this study is to upgrade the quality of teachers through curriculum and self-development through technology and integrated with chatbot application features in the form of special teacher training focusing on critical analytical thinking and can be utilized by students and benefits for its main campus partners, State University of Malang.This goal is expected to increase the output of moment index development.In the process of business development carried out, developers use a startup development phases system.The stages of business development that will be used are ideating, concepting, committing, validating, scaling, establishing.The result of this study is a learning chatbot continuing studies carried out commercialization and improving the development of learning quality using chatbot media.
Recognition of sample distribution functions among a system of patterns: the nearest neighbor method

The value of the sample distribution identification error of a multidimensional discrete random variable among a library of reference patterns is studied, depending on the dimension of the random vector, the sample length and the distance between two reference distributions in the norms C and L1. It is shown that the recognition error in the L1 norm is significantly lower than in C. Reference distributions of n-grams for texts are considered as a practical application. It turned out that the accuracy of identification is mainly determined by the individual characteristics of the standards, and not by the distances between them. An algorithm has been developed to test the system of standards for recognition accuracy.
Integration processes in education and their impact on learning situations

The article deals with the integration processes taking place in education at the present stage; examines the directions of integrative processes, such as the construction of pedagogical phenomena models, their local structures, mechanisms of activity of participants in the pedagogical process and their interaction, structures of components of the education content, functional systems, procedural mechanisms. The essence of the content and formation of the pedagogical component of the worldview as a unity of heterogeneous components, phenomena, is studied. Various components are analyzed from the standpoint of the possibility of occurrence of reasons for their change, expansion, unification, and subsequent inclusion in integrated blocks. This article defines three types of situations that differ in their place in the learning process – starting, current and final, and considers the prerequisites for their emergence and integration. Examples of learning situations in imitation of professional conditions and actions of a navigator, their influence on the formation of their professional qualities are given.
Digital transformation and methodological aspects of education

The article studies the conceptual characteristics of education such as informatization, the impact of digital technologies on the goals, objectives and learning outcomes, the components of teacher's professional activity. The modern education system should be innovative marked by continuous education throughout life and self-education and the ability to update its structure in accordance with the requirements of society. New forms of education, in particular, those that implement “lifelong education”, are in demand in modern knowledge society, and the need for methods of educational and cognitive activities of educational subjects and their interaction in the information and educational space is increasing. Since the development of the lifelong education system implies the development and expansion of its constituent parts and the components of the methodological system of education through interaction with the content of the information and educational environment, education must develop and become informationally qualitative, corresponding to the level of the information society. The article emphasizes that in the digitalization and informatization educational system, goals, content, forms, and methods of teaching academic disciplines should be changed. The task of the methodology of education is to study the qualitative and quantitative impacts of digital technologies on the content of the information and educational environment, student’s personality and socioculture of the subject of education. The readiness of a teacher for professional and pedagogical activities in the information and educational environment is considered as professionally and personally significant qualities and ICT competencies. The teacher should creatively solve problems that arise in the educational and cognitive activities of students, be ready for qualitative changes in society and education influenced by digital technologies
“Knowledge-culture” as a new model of modern education

The transformation of higher education is associated with the search for new education methods. This problem should be solved by the philosophy of education and pedagogy. The formation of new intelligentsia - the bearer of the model of knowledge-culture – should play a special role. New pedagogy should develop new methods to develop a free creative individual capable of resolving moral contradictions and ethical issues and setting own priorities. Priorities of the post-industrial reality are called "projective culture" or "third culture" which forms a personality that will correspond to the dominant value system. It is necessary to develop new methods for the formation of an educated person, inscribed in the format of both global and narrowly professional culture. To solve this problem, all the methods of cognition should be combined: rational, subjective, and intuitive. They form analytical, substantial, and qualitative aspects of thinking. This systemic trinity is used to identify the integrity of objects. Ecological education, which has become part of humanitarian education, is indicative. The priority of knowledge of the STEC-enlightened generation is aimed at the synergy of natural and technical sciences, ecology, and social phenomena, at the ability to make rational decisions in various conditions. The humanization of new education will contribute to creative thinking within systemic thinking, open non-linear speculative operations. This principle of thinking is determined by categories taken from the aesthetic arsenal of the humanities.
Design and Implementation of Police Equipment Knowledge Query System

In the field of public security, the standardized use of police equipment can better assist the public security police in performing their duties. With the advancement of science and technology of the times, police equipment is also constantly developing, and more and more new types of police equipment have appeared. Nowadays, there are a large number and variety of police equipment, and public security police are facing the challenge of mastering and updating equipment knowledge. This article builds a knowledge base of police equipment based on the knowledge of opening source data on the Internet, uses a variety of databases to store knowledge, and presents knowledge of police equipment in the form of knowledge queries, innovatively applying the concept of knowledge base to police Knowledge of equipment in science. Knowledge is presented in three modules: encyclopedia knowledge, question answering knowledge, and product knowledge, which can answer the description questions and experience questions of police equipment. The query accuracy rate for the physical problems of police equipment is 70%, and the query accuracy rate of the experience problems of police equipment is 90%. The design and implementation of the system solves the problem of knowledge fusion in the field of police equipment in opening source data, and at the same time can help the police to sort out the knowledge structure of police equipment, fully understand the police equipment, and better serve public security Field related work.