Reviewerly/exHarmony huggingface dataset:
Multi exposure image fusion based on exposure correction and input refinement using limited low dynamic range images

Multi-Exposure Image Fusion (MEF) is an image processing technique that combines several images taken at various exposure levels into one high-quality image. The generation of artifacts and diminished perceptual quality of the fused image under few input images is an inevitable problem in MEF approaches. Although numerous MEF techniques have been proposed in the literature, little effort has been devoted to generate high quality fused images with minimal input images. The proposed work unveils a method for producing a fused image that exhibits superior visual quality with a minimum of two input images. The proposed work begins with refining the input images using an exposure correction strategy and a recursive filter. The refined images along with a selected exposure corrected image form an intermediate exposure stack. A weight map is constructed from the intermediate exposure stack using a set of weighting terms and a fast-guided filter is used to prevent the weight maps from being distorted by external anomalies. Finally, the fusion is performed using the pyramidal decomposition of weight maps and intermediate images. The resultant fused images obtained have been tested and proven to hold superior performance over the state-of-the-art methods in perceptual and empirical analysis. Benefiting from this approach is a framework that seeks fewer input images, an intermediate exposure stack, and a detail-enriched fused image.
Unsupervised update summarization of news events

A long-running event represents a continuous stream of information on a given topic, such as natural disasters, stock market updates, or even ongoing customer relationship. These news stories include hundreds of individual, time-dependent texts. Simultaneously, new technologies have profoundly transformed the way we consume information. The need to obtain quick, relevant, and digest updates continuously has become a crucial issue and creates new challenges for the task of automatic document summarization. To that end, we introduce an innovative unsupervised method based on two competing sequence-to-sequence models to produce short updated summaries. The proposed architecture relies on several parameters to balance the outputs from the two autoencoders. This relation enables the overall model to correlate generated summaries with relevant information coming from both current and previous news iterations. Depending on the model configuration, we are then able to control the novelty or the consistency of terms included in generated summaries. We evaluate our method on a modified version of the TREC 2013, 2014, and 2015 datasets to track continuous events from a single source. We not only achieve state-of-the-art performance similar to other more complex unsupervised sentence compression approaches, but also influence the information included in the model in the summaries.
Iterative graph filtering network for 3D human pose estimation

Graph convolutional networks (GCNs) have proven to be an effective approach for 3D human pose estimation. By naturally modeling the skeleton structure of the human body as a graph, GCNs are able to capture the spatial relationships between joints and learn an efficient representation of the underlying pose. However, most GCN-based methods use a shared weight matrix, making it challenging to accurately capture the different and complex relationships between joints. In this paper, we introduce an iterative graph filtering framework for 3D human pose estimation, which aims to predict the 3D joint positions given a set of 2D joint locations in images. Our approach builds upon the idea of iteratively solving graph filtering with Laplacian regularization via the Gauss–Seidel iterative method. Motivated by this iterative solution, we design a Gauss–Seidel network (GS-Net) architecture, which makes use of weight and adjacency modulation, skip connection, and a pure convolutional block with layer normalization. Adjacency modulation facilitates the learning of edges that go beyond the inherent connections of body joints, resulting in an adjusted graph structure that reflects the human skeleton, while skip connections help maintain crucial information from the input layer’s initial features as the network depth increases. We evaluate our proposed model on two standard benchmark datasets, and compare it with a comprehensive set of strong baseline methods for 3D human pose estimation. Our experimental results demonstrate that our approach outperforms the baseline methods on both datasets, achieving state-of-the-art performance. Furthermore, we conduct ablation studies to analyze the contributions of different components of our model architecture and show that the skip connection and adjacency modulation help improve the model performance.
Gaussian-impulse mixed noise image recovery based on AB fractional calculus and SNSS priors

Recovering images corrupted by additive white Gaussian noise (AWGN) and impulse noise (IN) is a challenging difficulty. This paper for the first time proposes the definition of the higher-order Atangana-Baleanu (AB) fractional calculus and combines it with the simultaneous non-local self-similarity (SNSS) model organically to obtain the ABSNSS model for image denoising. The model can effectively restore images damaged by AWGN and IN, while preserving the texture and edge features of the images, and has strong denoising ability. Furthermore, the convergence of the iterative format of the model is demonstrated theoretically. Finally, numerical experiments show that the proposed ABSNSS model has significant advantages in removing the mixed noise and performs better than the state-of-the-art methods.
The History how State Scientific Library has Turned into Two State Public Scientific Technological Libraries: Chronical 1958

The article is a documentary essay on the last stage of activity of the State scientific library of the USSR Ministry of Higher Education in 1957–1958 and the creation on its basis in 1958 of two largest modern scientific libraries in Russia. They are the State public scientific technological library of the Siberian branch of the Russian academy of sciences in Novosibirsk and the State public scientific technological library in Moscow. (At that time they were the State public scientific technological library of the Siberian branch of the USSR academy of sciences the State public scientific technological library of the USSR.) It is shown what stages of preparation and the decision implementation has gone through and what obstacles it has faced. The further development of the two State public scientific technological libraries has brought them to the forefront of information and library activities and has shown the correctness of the decision made in 1958.
Education as a Strategic National Priority: Participation of the Public Library

Due to the multiple increase in internal and external challenges to national culture and values, the implementation of educational functions, especially among teen-agers and young people, becomes the key one in maintaining the stability of the moral potential of society. A special place in this issue is occupied by libraries that are not directly related to the education of students as schools and higher educational institutions, but are fully suitable for this through the implementation of their educational function. Enlightenment is closely related to the task of education, since it is a part of users socialization. The aim of the article is to show the need to revive the direction of training librarians in higher educational institutions, who would have the competence to solve strategic tasks of the state cultural and educational policy for the protection, preservation and strengthening of traditional values and Russian identity, especially when working with children and youth.
Competencies of Librarians in the Ecosystem of Open Science

The development of an open science information infrastructure requires the presence of highly qualified library staff. He should be capable of responding to and interested in changes in science and technology, able to create innovative information products and make them available to the public, organize new forms of interaction with scientists, implement educational programs, and advise on associated with the concept of open science. The study is conducted in order to determine the areas of training and practice-oriented training for additional professional programs and retraining of specialized specialists. These programs are the specialists to acquire practical skills in the creation and use of open information resources of various types, the formation of information culture of users, the development of scientific communication and new library and information services. The results of the analysis of the required competencies of library specialists are presented. They take into account the trends in the development of the information ecosystem of open science and building relationships with users through partnerships; the system of different training in Russia is studied and the gap between the education of librarians and the practice of their work on information support of research activities is determined.
Book as an Artistic Artifact

A book is not only a carrier of information, but also the way of its aesthetic visualization. This actualizes the problem of understanding a book as an artistic artifact. The study of the book in this context implies the identification of several aspects: the art of the book; the existence of the book as an exhibit of museum and exhibition art space; the use of the book as a compositional and meaningful element of works of fine art, as a component of library design, living and working spaces; alterbooking and architectural structures in the form of a book. The article is devoted to the art of the book and its exhibition in museum and exhibition space. Its goal is to systematize the factors and features that should be considered in the study of the art of book for the possibility of its holistic interpretation from an art criticism perspective. The article considers the role of decoration in creating visual and verbal unity. The functions of illustration depending on the cultural and historical context as well as a purpose of the book are determined. Attention is paid to such phenomena of book art as fore-edge painting, artist’s book and art albums. The existence of the book in museum and exhibition art space is also considered. There are two types of exhibitions: single-subject exhibitions devoted exclusively to books and exhibitions with other objects participating in the realization of the semantic concept of a cultural event.
Book Monuments in the National Museum of the Republic of Tyva

One of the urgent problems of domestic librarianship is highlighted, namely, the composition and content of book monuments stored in regional centers. These include the Aldan-Maadyr National Museum of the Republic of Tyva, one of the subjects of the Siberian Federal District of the Russian Federation. In 2011 the rare book sector was created in the museum, which concentrates the book monuments. The purpose of the article is to analyze printed publications published in the Tuvan People’s Republic, and now are the part of the book monuments of the National Museum of the Republic. It describes their composition, content and state of preservation. Newspapers, magazines, books, brochures and other types of printed products issued in the Tuvan People’s Republic give an idea of the state of the book culture of the country existed for twenty-three years: from 1921 to 1944. It shows the origin of printing and its development and graphic basis of local book publishing, its thematic repertoire and other aspects. The article gives recommendations on treatment of printed publications of the Tuvan People’s Republic, which can help to expand the directions and topics of museum information, educational, educational activities intended for the general public.
Great Reduction in Quantity of Libraries: Particular Management Errors or a General Perspective for the Field (Analysis of the Experience of the Moscow Region)

The number of libraries around the world and in Russia continues to decline. The regularity of the situation is explained by the loss of real demand for traditional library services – the actual library attendance is rapidly declining. The founders, represented by local regional and municipal administrations, feeling the decline in the role of libraries, are gradually reducing their scale and number. The Moscow region became the Russian leader in 2021 in closing libraries: it liquidated 26 libraries. The closure was initiated by the local Ministry of culture. It was the first case in the country when the founder initiated the planned closure of a network of subordinate institutions. The analysis has shown that in the Moscow region, a clear strategy for the development of libraries was not developed. The main activities, directions, forms and criteria for evaluating work were not defined. Changes in the industry were not reflected in the regional legal documentation, decent funding for the library sector was not provided. Huge advantages of corporate work in the formation of consolidated information resources (primarily an electronic catalog and a digital local history collection) were not realized. The author concludes that the practice of the Moscow region administration serves as a stern warning to librarians for all other subjects of the Federation: the example of the Moscow Region will no doubt be taken up by the authorities of other regions in the country.
Impact of Subject Orientation for Current Developments of Business Process Management - A Qualitative Assessment

The subject-oriented business process management (S-BPM) paradigm, with its basic idea that actors form a business processor choreography or orchestration, has impact on many modern trends in BPM. The modelling, encapsulation, communication orientation, and executable environment can not only support trends, but may also provide a new approach to technological and organizational developments to the point of potentially solving open issues in progress. This paper discusses the contribution of S-BPM to particularly important current BPM trends (such as IoT, BPM platforms, NLP, Process Mining) and the solutions that the subject-oriented paradigm can provide.
Credit to Machine Learning – Performance of Credit Card Fraud Detection Models

“Efficiency is doing better what is already being done“ – When economist Peter Drucker came up with this quote, the world was largely unaffected by machine learning (ML) techniques and the way modern artificial intelligence (AI) can facilitate processes. Yet, fraud detection methods had already evolved from manual to data-matching systems in the late 90s. Thereafter, individual risk profiles helped in better understanding the potential roots and causes of fraud. Nowadays, modern AI and ML methods look promising, with applications gaining importance and popularity in various fields. However, the performance, efficiency and ease of implementation may vary substantially for different specifications of fraud detection endeavors. Relating to a general process of customer orders and prompt shipment, ML-supported assessments on fraudulent orders can accelerate transactions. When trying to identify irregular credit card payment, this article highlights the usefulness and limitations of popular ML fraud detection methods in relating them to more traditional approaches. Considering different alternative models, we also assess the volatility in some of the most common modifications in modern ML fraud detection techniques.
A Guiding Cooperative Learning Approach in Mobile Learning Environments

With the impact of mobile devices and the rapid development of mobile devices, mobile learning has become a new trend in the e-learning environment. Although the use of mobile devices can arouse students’ learning interest in the mobile learning activity, they may not get the expected learning effectiveness without teaching strategies. To enable students to learn effectively, the adaptive learning strategy and guidance should be implemented in students’ learning process. Many studies of mobile learning have imported mind tools, such as Repertory Grid Technique (RGT), to help students construct personal knowledge effectively. However, not all students can successfully express their knowledge structure through the mind tools because their prior knowledge is different. To solve this problem, this study tried to use GoogleDoc color-tag tools to guide students in the right direction, thereby improving students' knowledge structure. Moreover, students learned by using the RGT mind tool as their learning strategy and the LINE App as a cooperative learning platform in the learning scenario of the Museum, and the teacher gave immediate and appropriate guidance to each group of students in the process. Experimental results showed that students adopting mobile learning with guiding Kelly Repertory strategies demonstrated significantly better learning effectiveness and satisfaction than the conventional cooperative learning method.
Redefining Customer Service Education in Taiwan’s Convenience Store Sector: Implementing an AI-Driven Experiential Training Approach

Taiwan has seen a significant increase in the number of convenience stores, with 619,741 stores in 2021, making it the country with the second-highest density of convenience stores in the world. This growth, coupled with the Ministry of Education adding a retail service group to the centralized special education classes curriculum in the “Curriculum Guidelines for the Service Group of Junior High School and Senior Vocational High School Special Education Classes,” indicates a rising demand for professional retail personnel. In 2022, 14 senior vocational high schools included this subject in their curriculum, further emphasizing the need for enhanced training and education of retail personnel. Customer service and response training often require significant time and manpower costs, presenting a challenge for businesses and the education sector to efficiently train new retail personnel. To address this, this study proposes a customer communication training model based on experiential learning theory and conversational AI technology. By collecting and incorporating common customer communication responses and questions into simulated training, the model aims to reduce risks for businesses during new employee training and effectively improve customer consumption experience and satisfaction. This training model not only provides customers with a tangible service experience but also strengthens the training and communication skills of retail personnel when facing diverse customers, thus equipping them with communication skills that meet corporate standards more quickly.
Developing an Immersive Virtual Reality-Assisted Learning System to Support Scanning Electron Microscopy Learning Activities

The purpose of this study was to develop an Immersive Virtual Reality (IVR)-assisted learning system aimed at facilitating Scanning Electron Microscopy (SEM) learning activities, and to evaluate its usability. This system incorporates various teaching strategies, including video demonstrations, hands-on practice, and assessment tests, to offer students a comprehensive learning experience and to address the limitations of traditional, expensive instrument-based teaching. The System Usability Scale (SUS) questionnaire was employed to assess the system’s usability and the overall user experience. A group of 12 university students, none of whom had previously used SEM, participated in the study. The results indicated that the participants rated the system’s usability and overall user experience highly. The system achieved a score of 72.91 on the SUS, nearing the threshold for good usability. These findings suggest that virtual reality-assisted learning systems can effectively support students’ SEM learning, and that the system is user-friendly with a good overall user experience. Future research should delve further into how virtual reality can facilitate SEM learning activities to enhance students’ SEM skills and understanding.
Impact of Immersive Technology and Virtual Work Environment, on Innovative Work Behaviour

Research in the field of human resources has undergone many changes with the development of technology. The immersive technology and virtual work environment have impact on the employee performance and this need to be evaluated. This research focuses on the effect of immersive technology and virtual work environment on innovative work behaviour among generation Z in Indonesia. Three propositions were developed as the initial research stage, including the effect of immersive technology on the virtual work environment, the effect of immersive technology on innovative work behaviour and the effect of virtual work environment on innovative work behaviour. It is hoped that this research will enrich the literature in the field of human resource management focusing on the virtual work environment. In addition, practical benefits will also be useful for managers to organize employees using immersive technology to continue to provide innovative opportunities and performance.
Intelligent (Musical) Tutoring System: The Strategic Sense for Deep Learning?

This article intends to contribute to the reflections on the effectiveness of the use of the Intelligent Turing System (ITS) in music learning. The intent is to promote the search for specific indicators for monitoring the student’s learning process, which integrate the student’s ability to make decisions and to know how to act and react appropriately in specific situations, according to the paradigms of citizenship: autonomy and responsibility. This paper presents an educational experience based on the use of the web platform EarMaster (equipped with an ITS), in which a set of learning indicators has been set up. The case study shows that indicators can provide a good guide for monitoring the learning process and that an ITS can be a good tool to enhance student’s interest in learning and thus improve their skills.
Comparing Handwriting Fluency in English Language Teaching Using Computer Vision Techniques

Educational materials play a vital role in effectively conveying information to learners, with the readability and legibility of written text serving as crucial factors. This study investigates the influence of font selection on educational materials and explores the relationship between handwriting fluency and cognitive load. By identifying challenges in written expression, such as reduced working memory capacity, text organization difficulties, and content recall issues, the study sheds light on the significance of neat handwriting. The research emphasizes the relevance of neat handwriting in critical examinations, including college entrance exams, academic English exams, and job interviews, where the fluency of one’s handwriting can impact the decision-making process of interviewers. This highlights the value of handwriting fluency beyond educational contexts. Advancements in computer science and machine vision present new opportunities for automating font evaluation and selection. By employing machine vision algorithms to objectively analyze visual features of fonts, such as serifs, stroke width, and character spacing, the legibility and readability of fonts used in English language teaching materials are assessed. In this study, machine vision techniques are applied to score fonts used in educational materials. The OpenCV computer vision library is utilized to extract visual features of fonts from images, enabling the analysis of their legibility and readability. The primary objective is to provide educators with an automated and objective tool for scoring handwriting, reducing visual fatigue, and ensuring impartial evaluations. This research contributes to enhancing the quality of educational materials and provides valuable insights for educators, researchers, and font designers.