Reviewerly/exHarmony huggingface dataset:
Ideals for Learning in Communities in the Soviet Union

The aim of this chapter is to analyze the foundations of community-based learning with a focus on the philosophical views, educational aims, and associated value dimensions in the Soviet Union. In addition, this chapter aims to examine the changing nature of the pedagogical activities of community-based learning and their authentic learning environments, the primary focus being on productive labor education. This chapter shows that Marxism-Leninism was the official philosophical doctrine in the Soviet Union. From the time of its founding, the philosophical tradition of community-based learning was related to the tradition of dialectical and historical materialism. Educational policies intended to emphasize moral-political and polytechnical aims and their value dimensions and integrate physical, mental, and polytechnical education. This chapter also demonstrates that community-based learning can take place in a variety of learning environments prioritizing the Sociocultural, Productive, Horticultural, Scientific-Agricultural, or Scientific-Technical Dimensions, in accordance with the general direction of political, economic, and social development. The chapter shows that during the experimental period from 1921 to 1931 and again in the mid-1950s, the Soviet Union focused efforts on expanding learning environments from schools to the real world outside of schools. The study concludes that in the 1970s, development in the Soviet Union started to stress school-centered intellectual aims and science- and technology-related values, when community-based learning allowed experts to be trained for a socialist society, and the citizens of which worked in a modern national economy and, if there were societal or personal changes, they could work in new fields of production. Since the 1970s, pedagogical approaches and their learning environments increasingly gave special importance to the use of technology-based applications. The study concludes that approaches to community-based learning could provide a way for teachers to prepare students to help community members through socially useful work.
IMPLEMENTASI BARCODE DETECTION DENGAN METODE OPERASI MORFOLOGI UNTUK SISTEM INVENTARISASI

Technological developments that are so fast require us to be able to display information quickly and precisely on the inventory system, there is so much data, how can we present the data needed quickly, one way is by using a barcode so that the system can communicate directly in need of a barcode scanner. to be able to detect and read the barcode in order to be able to connect directly to the server, therefore a barcode detection system was made using morphological methods to improve barcode detection.
A Novel A*-Based Path Planning Algorithm Optimized for Grid Maps

To achieve navigation control for AGV in grid maps, this paper proposes an improved A* algorithm as the global path planning algorithm for AGV. Firstly, to address the issue that the search efficiency of the A* algorithm is greatly affected by the heuristic function, a dynamic weight coefficient in the form of an exponential function is introduced to dynamically adjust the heuristic function, which improves the search efficiency of the A* algorithm to a certain extent. Secondly, in order to reduce the impact of the exponential operation on the search efficiency of the improved algorithm and considering that the results of exponential function calculations in the improved algorithm are only used to compare the cost values between different nodes, this paper introduces the fast power approximation method to evaluate the exponential function. Through simulation experiments, it is verified that compared with the traditional A* algorithm, the performance of the improved A* algorithm is significantly improved in terms of search time and total cost of planned path. Finally, to address the problem of too many turning actions caused by the large number of inflection points in the planned path in the grid maps, this paper uses the cubic B-spline curve to smooth the path, which significantly improves the relevant issues caused by the turning points during the driving process of AGV. After analysis, the improved A* algorithm proposed in this paper effectively improves the search efficiency and enhances the applicability of the planned path.
Can Artificial Intelligence-Enabled Service Interactions Improve the Perception of Service Quality?

Artificial intelligence technology is widely used in service delivery, but the service effects resulting from its application are still controversial. This study focuses on the service interaction interface, constructs a research framework on AI-enabled elements and customer service quality perceptions, and explores the moderating role of service type. Data analysis of 315 valid questionnaires returned from the survey revealed that: both the functional element and socio-emotional element of AI have a significant positive effect on perceptions of reliability and responsiveness; the socio-emotional element of AI has a significant positive effect on perceptions of having empathy; and service type moderates the relationship between the socio-emotional element and perceptions of reliability and responsiveness, i.e. socio-emotional elements have a more significant impact on customers’ perceptions of reliability and responsiveness in hedonic services than in functional services. This study enriches theoretical and applied research on AI in services, broadens the study of contextual factors in the application of the technology, and provides a reference for companies to adopt AI services.
Temporal Wavelet Transform-Based Low-Complexity Perceptual Quality Enhancement of Compressed Video

The past few years have witnessed a great success in applying deep learning to enhance the perceptual quality of compressed video. These methods usually perform frame-by-frame quality enhancement, incurring high computational complexity. Low-complexity perceptual quality enhancement is addressed in this paper, motivated by the observation of temporal correlations among video frames. Thus, we propose to decompose video content into <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">temporal</i> low-frequency and high-frequency components, and to focus the enhancement of the temporal low-frequency component, which may significantly reduce the computational complexity. Specifically, we employ the temporal wavelet transform (TWT) for the temporal frequency analysis, and build a TWT-based multiple-input multiple-output perceptual quality enhancement scheme. First, we use a motion estimation method on the input video to acquire the motion information, and then use TWT to obtain the temporal low- and high-frequency components. Second, we design a deep network to enhance the quality of the temporal low-frequency component. Finally, the temporal high-frequency component and the enhanced temporal low-frequency component are combined by the temporal wavelet inverse transform (TWIT) to generate the enhanced video. Experimental results show that our method achieves comparable perceptual quality to that of the state-of-the-art methods, but reduces the computational complexity to 1/13.
Tax Declaration Scheme Using Blockchain Confidential Transactions

The article presents the tax declaration scheme using blockchain confidential transactions based on the modified ElGamal encryption providing additively-homomorphic property. Transactions are based on the unspent transactions output (UTxO) paradigm allowing to effectively represent digital asset of cryptocurrencies in e-wallets and to perform financial operations. The main actors around transaction are specified, include money senders, receivers, transaction creator, Audit Authority (AA) and Net of users. A general transaction model with M inputs and N outputs is created, providing transaction amount confidentiality and verifiability for all actors with different levels of available information. The transaction model allows Net to verify the validity of a transaction, having access only to encrypted transaction data. Each money receiver is able to decrypt and verify the actual sum that is transferred by the sender. AA is provided with actual transaction values and is able to supervise the tax payments for business actors. Such information allows to verify the honesty of transaction data for each user role. The security analysis of the scheme is presented, referencing to ElGamal security assumptions. The coalition attack is formulated and prevention of this attack is proposed. It is shown that transaction creation is effective and requires almost the same resources as multiple ElGamal encryption. In addition to ElGamal encryption of all income and expenses, an additional exponentiation operation with small exponents, representing transferred sums, is needed. AA computation resources are slightly larger, since they have to be adequate for search procedures in the small range from 1 to ${2^{32}}-1=4294967295$ for individual money transfers.
Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization

When using evolutionary algorithms to solve constrained multi-objective optimization problems, both the constraint handling technique and the search operator play a crucial role. However, existing algorithms always focus on the former for the promising solution selection while neglecting the importance of the latter for the feasible solution generation. In this article, we emphasize the role of the search operator and propose a model-driven offspring generation method for evolutionary constrained multi-objective optimization. To be specific, the growing neural gas network is used to collect the feasibility information during the evolutionary search process and gradually model the distribution of feasible regions in the decision space. In order to make use of infeasible solutions to assist in the modeling of feasible regions, both feasible and infeasible solutions are taken as two classes of samples to train the network in the supervised learning manner. The proposed method can utilize the learning network to generate the promising offspring and thus make the population converge faster toward the optimal feasible regions. Experimental results on three public test suites demonstrate the competitiveness of the proposed approach, especially on the test problems with complicated feasible regions.
ℓ-Complementary Subspaces and Codes in Finite Bilinear Spaces

We consider (symmetric, non-degenerate) bilinear spaces over a finite field and investigate the properties of their ℓ-complementary subspaces, i.e., the subspaces that intersect their dual in dimension ℓ. This concept generalizes that of a totally isotropic subspace and, in the context of coding theory, specializes to the notions of self-orthogonal, self-dual and linear-complementary-dual (LCD) codes. In this paper, we focus on the enumerative and asymptotic combinatorics of all these objects, giving formulas for their numbers and describing their typical behavior (rather than the behavior of a single object). For example, we give a closed formula for the average weight distribution of an ℓ-complementary code in the Hamming metric, generalizing a result by Pless and Sloane on the aggregate weight enumerator of binary self-dual codes. Our results also show that self-orthogonal codes, despite being very sparse in the set of codes of the same dimension over a large field, asymptotically behave quite similarly to a typical, not necessarily self-orthogonal, code. In particular, we prove that most self-orthogonal codes are MDS over a large field by computing the asymptotic proportion of the non-MDS ones for growing field size.
CULTURAL AND PEDAGOGICAL ASPECTS OF STAGE FRIGHT IN THE PRACTICE OF PIANIST PERFORMER

The article presents a theoretical overview of the topic of stage fright; the author gives the definition of stage excitement by various theorists and researchers such as H.M. Kohan, K.S. Stanislavskyi, E. Ekonomova, A. Sannikova, F. Vasyliuk and others. The paper describes in detail the theory of stage fright by the famous American social psychologist D. Kenny. Stage activity is always accompanied by excitement, but some performers know how to use the situation to accumulate and activate their creative potential, while others get frightened and do not even have the opportunity to bring half of the material they have learnt at home to the stage. The memory fails, a terrible hand tremor occurs that cannot be controlled, the concert no longer looks like a joyful performance, and the performer has a desire to leave the stage as soon as possible. If this situation is repeated often, then after a while the musician will either have to give up performing or change his or her profession. Key words: stage, fright, stage fright, variety fright, performance, pianist-performer, anxiety.
Forming A System of Inclusive Education: The Interaction of Government and Universities

The basis of the article is the system of any organizational structure or formation adapted to an effective educational system. Our research aimed at identifying an adaptive system: inclusive education is a subsystem in the system of higher education. In Ukraine, the number of children who are classified as children with special educational needs is growing.
Formation Model of the Gold-Sulfide Deposits of the Western Kalba and Its Main Forecast and Search Criteria

The West Kalba Gold ore Belt (WKB), located within the Greater Altai, is a unique gold ore province on a global scale. It contains about 500 known gold occurrences and deposits. The main industrial type for the WKGB are gold-bearing sulfide deposits. The article presents a model for the formation of gold sulfide deposits in West Kalba. The main predictive-search criteria are considered, which make it possible to assess the prospects of areas for the presence of potential gold-sulfide objects within the described territory. The aim of the work is to clarify the main predictive and prospecting criteria specific to the considered field model. The given data is highlighted using descriptive analytics methods.
Peculiarities of knowledge assimilation in chemistry at secondary school: Methodological and social problems

In the process of teaching chemistry in secondary general education schools, students in a number of cases face difficulties in independently solving practical problems in chemistry, resulting in problems in the formation of skills and abilities of students. The article shows the possibilities of using various methods in solving applied problems in chemistry as an independent work of students. With the systematic implementation of experiments in chemistry, students develop motivation and increase their cognitive activity. First of all, we are talking about the experiment, as an integral part of the process of teaching this subject. It has been determined that chemistry has broad educational connections with pre- and post-requisites, with practice, and therefore creates great opportunities for the formation of the necessary knowledge and skills in students. Azerbaijan schools have accumulated some experience in this direction, but reforms are required, both in the general organization of the educational process, and changes in the socio-economic conditions of the work of school teams, in the standard of living of families, in the general trends of the country’s social policy aimed at solving social problems, related to the reintegration of citizens-forced migrants in the country and other processes of modern development. Some work has been done in this direction: extensive curricula have been created for all classes studying chemistry, school premises are being renovated, the assortment of school chemical laboratories is being updated, interdisciplinary communications are expanding through the organization of various Olympiads, as well as participation in international competitions in chemistry. At the same time, the reliance on innovative approaches associated with modern information technologies is clearly insufficient. Reforms are required in the system of higher education for the professional training of school teachers of chemistry.
Connection and Media

The advent of the digital world has irrevocably altered the status quo of ‘business as usual.' Daily life is now enmeshed in the online platforms for business, commerce, and education. Young people are adept at exploring and adopting to changes. The metaverse is their world. This is seen reflected in digital enterprise and new forms of wealth. Managing this turbulent period of monumental change is complex. At the heart of all decisions there is confidence in remembering that people make and implement the decisions. They need anchors for support to avoid the pitfalls of decisions that are shallow and pointless in the long term. The next generation of adults depends on wise actions to guide them in sustainable directions.
Mindful Listening in Grades 5 and 6

Chapter 8 sets the stage for exploring the importance of mindful listening and general recommendations for students in fifth and sixth grades. It highlights the significance of developing listening skills from an early age, emphasizing how mindful listening can positively impact communication, emotional intelligence, and social interactions in upper elementary grades. It includes the literacy standards for fifth and sixth grade students incorporated into three sample read aloud scenarios for teachers to use as guidelines for beginning mindful listening instruction. The picturebooks scenarios were created using the principles and concepts developed for fifth and sixth grade students. There is also a chart for additional read alouds that can be used for the grade levels in this chapter.
Mindful Listening in Grades 3 and 4

Chapter 7 sets the stage for exploring the importance of mindful listening and general recommendations for students in third and fourth grade. It highlights the significance of developing listening skills from an early age, emphasizing how mindful listening can positively impact communication, emotional intelligence, and social interactions in the middle elementary grades. It includes the literacy standards for third and fourth grade students incorporated into three sample read aloud scenarios for teachers to use as guidelines for beginning mindful listening instruction. The picturebooks scenarios were created using the principles and concepts developed for third and fourth grade students. There is also a chart for additional read alouds that can be used for the grade levels in this chapter.
Application of Remote Sensing Data for Preliminary Exploration by Determining the Spectral Reflectivity of Outcrops and Soils at the Tochka Deposit (EKR)

Using the example of remote methods of Earth exploration and the use of satellite images obtained by the Sentinel-2 satellite apparatus, the possibility of conducting primary geological exploration to identify geological anomalies (objects) and drawing up a more accurate plan for fieldwork is considered. The geological and geochemical characteristics of the studied area are presented. Interpretation and analysis of the data obtained using multispectral remote sensing of the earth has been carried out. An innovative methodology capable of detecting spectral signatures of lithium-containing pegmatites is presented, as well as well-known remote sensing algorithms for detecting halos of changes associated with these pegmatite bodies. The method of identifying the main spectral wavelengths of reflection and absorption of some minerals is described. It is shown that with the use of this technique, the time of geological exploration is significantly reduced and the financial costs of conducting geological exploration and depreciation of the technical means used are significantly reduced. And also, it is planned to improve this methodology
Alexander Semenovich Latsinsky and the restoration of the General Staff Library in the 1900s

The author examines the contribution of Alexander Semenovich Latsinsky, librarian of the General Staff Library, to the revival of the institution after the fire of 1900, and his work up to his resignation in 1910. Latsinsky was the author of several military historical works. Despite working for the library since 1874, Latsinsky did not have relations with some of his immediate superiors, which did not prevent him from receiving support in publishing works from the military ministers. Being the oldest employee of the General Staff, Latsinsky was dissatisfied with his status and repeatedly applied for advancing his rank. The repair works after the library fire took about 10 years. The military authorities allocated large sums for the library revival and monitored the quality of the work performed. The library collection was often moved from place to place before finally it was put on shelves on the library premises. But even in such conditions, the library collection was being developed, in particular with the private collections of generals A. K. Puzyrevsky, D. P. Dokhturov, and K. I. Velichko. The contribution of the special library commission made it possible to arrange the books on the bookshelves in a short time frame.
The great librarian of our days. The review of the book “The great librarian: Eduard Rubenovich Sukiasyan” (Moscow : Pashkov dom, 2023)

The book “The great librarian: Eduard Rubenovich Sukiasyan” is published by “Pashkov Dom” Publishers’ in 2023. The reviewer describes and analyzes the contents comprising multiaspect sources. Eduard Sukiasyan, the reviewer emphasizes, is a real librarian, a classic of the library science and practice, loyal to our profession and passionate about it. The reviewed book reflects the scope and remarkability of his personality, his contribution to librarianship and library education in Russia. On the other hand, the book is the chronicle of library history, the national and international, to some extent. The book will be of interest to the professional library and information community. The most precious thing about the book is that it will be revealing for the younger librarians, as it promotes passion for work, makes them acquainted with the relevant problems of librarianship. The reviewer advises all young library professionals to read the book as it would motivate them in their career development.
Bibliometric analysis of scientific cooperation in the studies of moral dilemmas and moral choice

The authors attempt the bibliometric and scientometric approach toward analysis of scientific cooperation in research of moral dilemmas and moral choice using Scopus bibliometric tools. The sector-specific dimension of the studies of moral dilemmas and moral choice is considered. The authors conclude that the share of psychological journals on the subject has significantly increased with dominating psychological research problems (in contrast to the traditional philosophical dimension). The involvement of the world's leading scientific publications in the information support of research on moral dilemmas and moral choice is emphasized. The conceptual integrity of periodicals is revealed, the conclusion is made on the promising vectors of studies on the subject of moral dilemmas and moral choice. The main author research collaborations, as well as their main thematic focuses are specified. It is noted that modeling of the process of solving moral dilemmas, identification of factors for solving moral dilemmas, neurophysiological correlations of the process of solving moral dilemmas, moral modification due to various clinical aspects are the problems most relevant and demanded by the world leading scientific journals.