Reviewerly/exHarmony huggingface dataset:
Effects of Wireless Communication and IoT on Data Aggregation

It is important to understand how 5G wireless affects data architecture. This chapter reviews 5G’s technical impact on performance and data collection, discusses how the market will likely react to wireless performance, and ways 5G technology can be leveraged to support data platforms. We also address how the wireless revolution increases performance in a mobile environment, and raises security concerns while lowering latency. The Internet of Things (IoT) represents the physical devices that will collect increased amounts of data for AI and ML processing. The chapter discusses how IoT will increase real-time processing as well as its ability to reduce unscheduled network failure. We also provide direction to data architects when considering alternative communication models that depend on business needs and industry requirements.
Cross-Graph Embedding With Trainable Proximity for Graph Alignment

Graph alignment, also known as network alignment, has many applications in data mining tasks. It aims to find the node correspondence across disjoint graphs. With recent representation learning advancements, embedding-based graph alignment has become a hot topic. Existing embedding-based methods focus either on structural proximity across graphs or on the positional proximity within a single graph. However, only considering the structural similarity will make the position relation of nodes not clear enough, which makes it easy to misalign the nodes close in distance, while only considering the position proximity of a single graph will make the node embeddings from different graphs in different subspaces. To mitigate this issue, we propose a novel model CEGA for <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</b> ross-graph <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E</b> mbedding-based <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">G</b> raph <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</b> lignment, which can generate node embeddings to reflect structural proximity and positional proximity simultaneously. Meanwhile, we make the proximity trainable thus it can be learned to best suit the alignment task at hand automatically. We show that CEGA outperforms existing graph alignment methods in accuracy under unsupervised scenarios through extensive experiments on public benchmarks.
Methodology for the development of augmented reality applications for the elimination of errors in the interpretation of manufacturing drawings

Nowadays, precision machining processes have been widely used in the manufacture of products mainly focused on aerospace, automotive, mold manufacturing and various types of products that demand high production volumes, precision and surface quality. However, these manufacturing processes are not exempt from errors and failures during the machining process. Recent studies found that the main errors are due to the interpretation of the information in the manufacturing drawings due to lack of experience or training of the personnel. This research project aims to eliminate errors due to misinterpretation of information in Computer Numerical Control (CNC) machining processes through the implementation of a methodology to develop Augmented Reality (AR) applications for the interpretation of manufacturing drawings. Its main contribution is to provide virtual support to the operating personnel obtaining multiple benefits such as reducing downtime due to failures in the machining process, ensuring the optimal operation of the machines, avoiding collisions of the tools and ensuring the quality of the products.
Reference and Bibliographic Service: Going Beyond the Classical Model

The article gives a brief description of present reference and bibliographic service models. Its aim is to show the tendencies of reference and bibliographic services development under the conditions of information (and later – digital) technologies. Tracing the evolution of reference and bibliographic services in the aspect of expanding the range of information services the author comes to the conclusion that during the introduction of information technologies, there has appeared a tendency to integrate various types of information services and, as a result, to put out reference and bibliographic services beyond the classical model. Thus, it requires its adjustment taking into account the information needs of new generation users. It is assumed that thanks to the increase in the capacity of the service resource base, the range of comprehensive information services of a research nature aimed at broad information science support, as well as creative and business activities, will expand.
Methodological Activity in the Web Space: Results of the Research

The purpose of the research is to study the opinion of library specialists on the use of methodological resources posted on libraries’ websites and portals, social networks and blogs, and the frequency of access to them. The article gives the results of this survey. The respondents were heads and employees of libraries, representatives of methodological services. The total of 754 respondents took part in the survey. The answers of the employees of methodological services were analyzed separately. It was found that in order to obtain professional information, respondents more often go to the “Professionals” / “Colleagues” section on the library’s official website. According to the survey, heads of the libraries and methodological service employees partially had the same requests with which they applied to the “Professionals” / “Colleagues” section. They were looking for webinar recordings, full texts of regulatory documents, announcements of professional events, scenarios of events, information on advanced training courses. The main attention of library staff was focused on access to full texts of scripts for events, recordings of webinars and announcements of professional events. For library employees, it was important to have access to up-to-date information that reflected the current problems of libraries with detailed comments and explanations. The majority of respondents indicated the ease of navigation and information search on the libraries’ websites or portals in the “Professionals” / “Colleagues” section. Some survey participants identified problems in accessing professional information on the library’s website. It was concluded that professional information posted on the websites and portals of libraries needed structuring and clarifying entries used.
Selected Bibliographic Resources for the Promotion of Scientific Knowledge on the Websites of Libraries in Russia

The purpose of the article is to show the results of a study of selected bibliographic resources in Russian libraries for the popularization of science, the promotion of scientific knowledge, the formation of a scientific worldview and the development of scientific literacy. Selected bibliographic resources on 87 library sites were considered. 750 selected bibliographic resources were identified, of which 280 (27 %) are aimed at disseminating modern scientific knowledge. Most of these are non-renewable resources. It has been established that in the process of promoting scientific knowledge, libraries most actively use reviews; electronic thematic collections, selections, exhibitions and selected lists; less often – selected bibliographic indexes, guidebooks, digests, card indexes and bibliographic reference books. Such traditional types of advisory aids as memos, bibliographic essays, popular bibliographic encyclopedias, booklets, and almanacs are almost never used. It is concluded that in the activities of libraries for the dissemination of scientific knowledge, selected bibliographic resources do not yet occupy a worthy place despite their decisive role in purposeful and systematically organized self-educational reading, which opens up wide opportunities for the formation of scientific worldview.
Development of the Representation of the University Library in Social Networks

The development of digitalization has led to increasing use of social networks by academic libraries as a means of marketing services. The literature review has shown that the purpose of library communications on social media is to persuade library users to pay attention to resources and services. Students, from their hand, perceive the library’s social media posts related to training support and publications about events at the university as most useful. Through social media, librarians try to develop relationships with their users. The problem is how to organize this work more effectively. The purpose of the article is to present the results of testing the program for the development of the library’s representative office in social networks. The development of resources is considered on the example of the university library group on the VKontakte social network. The interim results of the Program for three quarters are presented. Based on the presented data, positive dynamics of indicators is recorded and it is concluded that such an indicator as site traffic over time becomes more and more problematic, and work with user involvement in social networks requires great attention and different approaches from librarians. The results of the OKR marketing approach are of practical importance in managing the social networks of libraries of all forms of the organization.
The Use of Information Technologies in the Activities of Libraries in Uzbekistan

The development of information technology has contributed to the rapid process of informatization of all spheres of modern society, including library and information activities – the methods of collecting information, its visual display and providing access to it have changed; the processes of acquisition, processing of documents, preservation of collections have been transformed. The forms of information and library services have become different. The process of informatization has brought the activity of the world’s libraries to a higher level, opened up qualitatively new possibilities of performing technological operations, working via mobile devices, providing access to full-text resources in a remote mode, etc. Naturally, all these changes have also affected libraries in the Republic of Uzbekistan. Since the end of the 1990s, there began the active process of introducing information and communication technologies and automation of libraries in the republic. The work to improve the activities of the library and information institutions of the republic is still going on. The article aims to evaluate the state and degree of development of the informatization process in the leading libraries of Uzbekistan. The results of the reforms on the introduction of information technology in the libraries of the Republic of Uzbekistan are given. An important task is to analyze the main trends and the state of the informatization process in the library-information institutions of the republic and to identify the problems in this area of library activity.
Internet of Things (IoT) Technologies and Implementation in the Healthcare Industry

Internet of Things (IoT) technology, an essential part of the technological revolution emerging in the era of Industry 4.0, has become a critical success factor for almost all industries. Aside from its destructive effects in various industries, it presents new opportunities and advantages. Also, the healthcare industry is a critical sector using high-tech devices and equipment compared to many traditional industries. In today’s conditions, producing a health service without using these devices and technological equipment is impossible. All health staff need to diagnose using these technological instruments to start treatment. Furthermore, dependency on technology in the health industry continues to increase with each passing day. Therefore, understanding these technologies and creating logical and reasonable solutions is an essential task for practitioners in the health industry. By keeping these requirements in mind, the current paper systematically evaluates the Internet of things technology and its implementation in the current industry.
A Definition of General-Purpose AI Systems: Mitigating Risks from the Most Generally Capable Models

The European Union (EU) is currently going through the legislative process on the EU AI Act - the first bill intended to regulate Artificial Intelligence (AI) comprehensively in a major jurisdiction. The bill includes provisions to manage risks of generally capable AIs classified as "General Purpose AI Systems" (GPAIS). We believe that this crucial aspect of the act could be improved by focusing the definition more on the most generally capable systems, which bring very specific risks. The Future of Life Institute (FLI) proposed a definition of GPAIS to better target these models, a significant step in the right direction. Expanding on FLI’s proposal, this paper introduces a new definition of GPAIS, which serves to clearly differentiate between narrow and general systems, and cannot be easily exploited by GPAIS providers who may wish to avoid new regulatory constraints.This paper consists of two sections. The first section discusses the specific risks of GPAIS, including unpredictability, adaptability, and the potential for emergent capabilities. The second section presents the new definition of GPAIS, and explains the changes made and how they address the risks presented in the first section. The EU AI Act could set a global standard for AI-related risk management. The aim of this document is to help inform AI Act draft reviews and improve the ability to mitigate risks from the most generally capable models to protect stakeholders in the EU and globally
Culture Matters in HCI

Why is culture relevant in HCI? This chapter addresses this question by presenting some arguments for and against the importance of culture in HCI. Chapters 4 and 5 also address this question by presenting the main conceptual perspectives of culture within HCI and how this concept has been operationalized in the field.
Some Open Issues

This chapter discusses some open issues in HCI research on (and with) culture. These issues are classified into three (non-mutually exclusive) categories: theoretical, practical, and controversial.
Introduction

This introductory chapter presents the motivations for this synthesis and its objectives. It also outlines the overall perspective on culture that is adopted herein and the contributions this publication makes to Human–Computer Interaction (HCI). This chapter also provides an overview of the structure and contents of the synthesis.
Conceptual Perspectives of Culture Within HCI

This chapter presents conceptual perspectives of culture within HCI. This chapter also deals with subcultures and counter-cultures, which align with the use of the plural of the term culture and is an example of the cultural diversity of nations, groups of people, and individuals.
Immersive Virtual Work Integrated Learning: A Development of an Interactive Learning Environment for Rail Components Manufacturing

Abstract Undergraduate students pursuing their studies in the engineering discipline in higher education institutions (HEI) are expected to complete their work integrated learning (WIL) component as part of their curriculum. This is a compulsory module traditionally performed in the workplace environment over a specified time. However, with the scarcity of placement-based WIL, as well as the Covid-19 pandemic, there has been a reduction in the intake of students to accomplish their studies. This paper presents, a human centered design (HCD) model for developing an immersive virtual reality (IVR) rendered with an HTC Vive Pro head mounted display (HMDs) platform capable of training industrial engineering undergraduate students on the manufacturing procedure of rail components using a reconfigurable guillotine shear and bending press machine (RGS&amp;BPM) as part of the set of immersive virtual work integrated learning (IVWIL) activities. The study explores current literature and the HCD approach to designing and developing the immersive interactive training platform. It highlights the important aspects of the development of the immersive virtual environment and recommends future work.
The Operationalization of Culture in HCI

This chapter aims to provide an overview of how culture is operationalized in HCI research.
Network Leadership is a Promising Direction in Management Science

The social features of leadership and its influence on the development of organizations have long been an important and relevant research topic by scientists in effective management. This trend is related to the provision of research on practical tools managers use to achieve high economic results in a managed system. The humanization of processes in the organization and the manager’s focus on employee development contribute to the formation of the organization’s competitiveness and financial stability. The bibliometric analyses helped investigate the bibliographic characteristics of scientific works that reveal the content of the networking process and the practicality of its use in the social phenomenon of leadership. The bibliometric analyses proposed in the article show the quantitative indicators of the document flow in management to establish logical patterns between the broad management concept of «leadership» and the social features of the idea of «network leadership». The proposed study contributes to forming an informational scientific flow in the field of studying the development of various topical areas of leadership to increase organizations’ financial results by targeting the manager to improve the conditions for the social resource in the managed system. Studying the development of network leadership allows you to consider all the positive aspects and correct certain shortcomings in this modern leadership direction. The proposed work highlights and analyses general concepts that connect the Networking category with the phenomenon of Network Leadership in organizations where managers focus on the social component of the managed organizational system – Social capital. The identified general definitions are the basis for effective manager activity. The study is helpful for managers who strive to achieve high results in management activities through the development of each organization member. The development of the professional potential of employees is an indicator of an effective manager and the basis for achieving the organization’s goals.
Romeo: SGX-Based Software Anti-piracy Framework

Preventing software piracy has always been a concern of software developers. Since crackers can track and analyze the application code, any client-side anti-piracy mechanism can only increase the cost of crackers, but cannot really stop them, unless the anti-piracy mechanism is put on the server along with the core functionality of the software. However, this approach harms the user experience. In this paper, we propose a software anti-piracy framework that makes it possible for developer to integrate anti-piracy mechanisms into the client-side without compromising the user experience through the use of Intel’s SGX technology.
Open-World Machine Learning for Unknown Class Identification in Human-Machine Interaction Systems

Nowadays, different organizations widely use automated human–machine interaction systems for customer support and operational activities. The identification of appropriate queries is an essential part of these systems. The classical machine learning-based or rule-based systems cannot identify the unknown classes and may mislead the client by delivering incorrect responses. To identify these unknown classes, we proposed an open-world machine learning-based solution. The proposed model identifies the unknown classes and rejects them. After identifying the unknown classes, it also suggests the number of possible novel classes in rejected queries. The proposed model evaluated various performance matrix for both unknown class identification and the discovery of new possible classes. The result of the proposed models shows that it outperforms on state of the art.
Analysis of a New Improved AES S-Box Structure

S-boxes are very important nonlinear components in symmetric ciphers and have a great role in the security of cryptographic algorithms. In algorithm design, 4-bit and 8-bit S-boxes are most commonly used. The S-box of the AES is the best 8-bit S-box in terms of nonlinearity and differential uniformity at present. However, other properties are not the best. In this paper, we improve and propose a new algebraic structure that can be used to generate S-boxes with excellent performance. The main enhanced properties of the new S-boxes are: strict avalanche criterion (SAC), distance to SAC, the bit independence criterion (BIC), algebraic complexity, inverse algebraic complexity, and periodicity. After comparing with existing S-boxes, the properties of S-boxes proposed in this paper are the best.
Mizo News Classification Using Machine Learning Techniques

News is a worldwide resource that is always expanding. Manually categorising texts/data has become tiresome and unproductive as the volume of internet material continues to grow. As a result, there is a compelling need to organise this data systematically and in a personalised manner. This paper presents a case study on identifying MIZO news categories from the news articles collected from the ‘Zonet’ website. Those articles are divided into three categories, namely Tualchhung (local news), Ramchhung (national news) and Rampawn (international news). In this paper, various machine learning techniques, namely random forest, SVM, KNN, decision tree, Naïve Bayes and neural network, have been explored for the classification of Mizo news, and their accuracy is being measured. The result reflects the superiority of the SVM model over the other models.
Intra-Domain Text Classification: A Hybrid Approach

The amount of textual information has been increasing at an enormous rate in the digital world. This has led to the development of efficient indexing mechanisms for easier retrieval. One of the primal attributes for categorizing texts is based on their domain. This is a challenging affair due to the commonality of vocabulary. The challenge further aggravates during deeper sub-domain classification. This very important as the rustics (especially students) often need information which concerns a particular subject. Systems capable of organizing information based on subjects can tremendously aid towards efficient retrieval in these scenarios. In this paper, a system is presented to classify educational documents amidst three subjects: computer science, physics and mathematics. Experiments were performed with over 13K research papers, and the highest accuracy of 93.35% was obtained for intra-domain classification using a hybrid technique comprising both handcrafted features and deep learning.
An Efficient Approach for Credit Card Fraud Identification with the Oversampling Method

The financial business is rapidly expanding, and as a result, banking online transactions are increasing as the government pushes digital transactions. The bulk of financial transactions has been made with debit or credit cards. As a result, the amount of fraud linked with it is increasing. However, because existing fraud detection machine learning algorithms are trained and subsequently assessed on severely uneven datasets, their performance in real-world situations suffers. We presented a method in this study that may operate better after turning these unbalanced datasets into balanced datasets using the oversampling approach, ensuring that the system is not biased when the algorithm is used. The results show that oversampling method with the Random Forest algorithm performs better than the Logistic Regression algorithm with the oversampling method with 80% of accuracy.