Reviewerly/exHarmony huggingface dataset:
Information Technology in Activities of the World’s Leading Libraries and Their Use under Modern Communications

The aim of the article is to highlight the main trends in the development and implementation of information and communication technology in the library service system of the world’s leading countries. The research methodology is based on the integrated use of general scientific and structural-functional methods. To clarify the evolution of information and communication strategies in library practice, there is a social communication approach, special historical methods. The scientific novelty of the study lies in the comprehensive generalisation of new information and library services used in multiple countries. Conclusions. Among the priority tasks of foreign libraries, there is the creation of their e-products, development of search information strategies, solving problems of digitisation of documents, and introduction of innovative means of information. Leadership in the development of communication technologies belongs to US libraries, which in the 1970s implemented the first projects to inform the library process, digitise holdings and create e-libraries. Among European countries, information and communication technology is being intensively implemented in libraries of Germany, Sweden and Denmark. The concept of the machinery of information flows has developed rapidly in the East, especially in libraries in China, Japan and Korea. Ukraine is actively using international electronic databases to build its strategy for library informatisation. At this stage, the task is to create integrated global information resources based on corporate activities of libraries for the accumulation, storage and dissemination of information flows, and development of effective search engines and information services for users.
LuxBoard: Ambient Light Manipulation for Contactless Text Entry on Mobile Devices

In this paper, we present a proof-of-concept for text entry technique that requires no direct contact with the mobile device and relies exclusively on built-in light sensor utilization. Simple in-air gestures, performed above the smartphone screen, alter the current level of ambient lighting. This allows adjusting the keyboard cursor position based on the sensor readings. The idea of this work is in accordance with the Around-Device Interaction (ADI) concept, currently attracting a lot of attention in the Human-Computer Interaction field. The proposed solution successfully augments an input area of a mobile device without the use of sophisticated peripherals. Two different methods can be used to select the target character, depending on how the keyboard cursor is operated. While manual control requires continuous hand gestures to directly adjust the cursor position, automatic control is based on stopping the cursor along its predefined route. In the conducted experiment, 32 participants utilized the touchless interaction technique for both text entry methods on their own smartphone devices. The outcomes of this empirical research are reported, with a special emphasis on text entry speed, total error rate, usability attributes, and perceived workload.
BlueSkype: A Shared Virtual 3D World for Off-Site Meetings in Nature

On-site meetings in office environments often involve conventional online meeting platforms such as Zoom and Google Meet that are widely used in real meeting rooms and provide functionality and visualization simple enough to support typical business meetings. However, because such meeting platforms usually have the same functions, meeting attendees are compelled to use nearly the same functions and manners even if their purposes differ. By contrast, conventional online meeting systems take off-site meetings less into account. Therefore, to solve those conventional limitations and realize online off-site meetings in nature, we have designed BlueSkype, a natural environment in a shared virtual 3D world. Therein, meeting attendees are represented by 3D avatars that can move around the 3D world freely, communicate with each other, and interact.
Mobile Assisted Language Learning: Cognitive Load and Task Motivation

This study explores the relationship between cognitive load and task motivation of three listening-based tasks via mobile assisted language learning (MALL). The investigation was conducted with 65 English language learners in three WeChat groups in China. A cognitive load questionnaire and a task motivation questionnaire were administered to the participants. Using a quantitative method approach to the study, we have found that the participants perceived low cognitive load did not necessarily have an inverse relationship with task motivation, which depended on the germane cognitive load and a balance between the intrinsic and extraneous cognitive load. Only when there was a certain amount of germane load and intrinsic cognitive load, and the amount of the intrinsic and the extraneous cognitive load was in a balance, was the task motivation predictable. This study can shed light on task designers and future research to plan and integrate a mobile language learning pedagogical framework.
Development of Higher Education Seekers’ Soft Skills in the Context of Sociocultural Communication

The article is devoted to the question of defining the role of soft skills in the successful professional growth of specialists in information, library and archival affairs in the sociocultural communication context. The purpose of the article is to define the role of higher education seeker’s soft skills in its professional growth and to offer effective forms and methods of their formation. The research methods are the methods of analysis and generalization of scientific and pedagogical, scientific and methodical literature, normative documents; the methods of synthesis and generalization used with the purpose of theoretical and practical substantiation of the presented forms and methods of soft skills formation for prospective specialists in information, library and archival affairs; the empirical methods, classification and systematization, used for summarizing observations and theoretical positions. The results. The importance of specialists’ soft skills as important components of their functional literacy in any field of activity is substantiated. Functional literacy is the individual’s ability to understand and expediently use the variety of information in new socio-economic conditions in order to carry out successful professional activities. The key components of functional literacy are identified as social behavior, knowledge of language and culture, mastery of modern technologies. The authors considered the essence of the leading feature of a competitive specialist, namely an emotional intellect, which includes perception (at first individuals must recognize their own emotions and be able to manage them), understanding (the ability to identify the causes of emergence of certain emotions), management (involves the ability to manage emotions, direct them for solving the tasks necessary for successful activities), and use (forms the creativity, individuality of a person). The main groups of soft skills are defined: basic communication soft skills; self-management; effective thinking; management skills and relevant general and professional competencies that form these skills in future professionals in information, library and archival affairs. The authors presented the methods necessary for forming soft skills for specialists in information, library and archival affairs and which had been applied in practical classes in special disciplines. Interactive methods, in particular work in pairs, business games, master-classes, case-technologies, trainings, videoconferences, project method, are believed to be productive. Conclusions. The authors concluded that the formation of soft skills is crucial in the professional growth of professionals; the offered forms and methods of soft skills formation are based on real life scenarios and the gained experience in the course of training that causes an effective sociocultural communication in the further professional activity.
Estimation Length of Study Period Using A Fuzzy Logic Model

Education is an essential part of forming quality and dignified human resources. Forming an intelligent and quality young generation is one of the roles of universities as one of the formal education providers. They are obliged to develop the best curriculum and encourage students to have competencies according to the chosen study program and graduate on time. However, there are many cases where not all students graduate on time and even drop out of school. The purpose of this research is to build a fuzzy logic model that can estimate the length of the study period so that universities can take preventive action against students who have the possibility of not graduating or dropping out or do not graduate on time. The contribution of this research is to build a model to estimate student learning time using a simplified fuzzy logic model. This simplified fuzzy logic model was proven to be able to estimate the length of learning. Initially, it consisted of 23 rules with an error rate of 11&#x0025; and simplified to ten rules with 10.59&#x0025;.
Determination of the structure of the project based studio courses for the education of interior design bachelor

In order to develop interior design bachelor education on national scale, it is necessary to structure teaching methods and course contents within the framework of international professional qualifications.For this purpose, in this study, the most intensive courses which has the highest course hours in the interior design curriculum were discussed.In this paper, it is aimed to examine the structures of design studios in interior design departments accredited by organizations that determine professional qualifications and to create comprehensive data on their contents.The relevant course data for two interior design departments accredited by the CIDA organization in the USA and four interior design departments accredited by national accreditation organizations in Europe were obtained for study.The course contents were classified by coding in content analysis approach.The data obtained will be compiled under four headings: "content", "subject", "skill" and "output" for each studio level.As a result, comprehensive and categorized tables was created for each studio level, containing current design issues and studio methods, which can be used as a suggestion for structuring interior design studio classes.
Picture quality improvisation using image dehazing for improving surveillance frameworks

Images taken in foggy conditions frequently suffer from low visibility. We present an effective regularization approach for removing fog from a single input picture in this paper. The analysis of the transfer function&apos;s intrinsic boundary limitations has greatly aided our strategy. This limitation is based on an optimization issue for calculating penetration into an unknown scene. The solution that was provided takes only a few common features and can get fine-colored high-quality hazel-free pictures. The results for experiments on photographs with different degrees of haze suggest that the suggested approach is beneficial and efficient.
Learning English through Social Media: Experiences of EFL Student Teachers at One Islamic University in Indonesia

Social media use in learning English offers unlimited benefits for English learners as it allows collaboration, communication, and resource sharing among its users. However, there has been little information on EFL student teachers’ lived experiences of using social media for learning English, especially in Islamic University in Indonesia. The aim of this study was to delve EFL student teachers‘ perceived experiences of using social media for learning English. This study employed qualitative inquiry, especially phenomenology. There were 10 pre-service EFL student teachers who voluntarily became participants of the study which were recruited by using purposive sampling. Data collection used interview and documentation. The collected data were analyzed qualitatively with several steps, namely preparing and organizing the data for analysis, exploring and coding the data, building description and themes, representing and reporting qualitative findings, interpreting the findings, and validating the accuracy of the findings. The findings showed that students employed some ways of learning English through social media. This study also provides some implications for future research, students, and educators.
Noise Not Music

As noise spreads as concept, its status as sound recedes. Its status as other, same or interlocutor for music can also be heard as diminishing. Whilst granting that there are many, maybe even an infinite number of ways of thinking about what noise is or does, something essential inheres in the relation of noise to music, something that can help with other variants of modelling. Music is present and presented through performative structures, such as concerts, plays, rituals, that make music have meaning, either as music, or as vector of other meaning, as derived within, against or around social structures which are often highly normative. The experience of rejection, exclusion and confusion would affect a sequence of other noise-introducers through the twentieth century, right through to minimalism, drones and chance procedures. Erik Satie gives us a good example of how to think about noise in more than the terms of the introduction of actual noises.
Performance Analysis Of Stego Image Calibration With Usage Of Denoising Autoencoders

Methods for early detection of sensitive information leakage by data transmission in open (public) communication systems have been of special interest. Reliable detection of modified (stego) cover files, like digital images, requires usage of computation-intensive methods of statistical steganalysis, namely covering rich models and deep convolutional neural networks. Necessity of fine- tuning parameters of such methods to minimize detection accuracy for each embedding methods has made fast re- train of stegdetectors in real cases impossible. Therefore, development of low-complexity methods for detection of weak alterations of cover image parameters under limited prior information about used embedding methods has been required. For solving this task, we have proposed to use special architectures of artificial neural networks, such as denoising autoencoder. Ability of such networks to estimate parameters of original (cover) image from the noisy ones under limited prior information about introduced alterations has made them an attractive alternative to state- of-the-art solutions. The results of performance evaluation for shallow denoising autoencoders showed increasing of detection accuracy (up to 0.1 for Matthews correlation coefficient) in comparison with the state-of-the-art stegdetectors by preserving low-computation complexity of network retraining.
A Novel Limbs-Free Variable Structure Wheelchair based on Face-Computer Interface (FCI) with Shared Control

In order to meet the mobility and physical activity needs of people with impaired limbs function, a novel limbs-free variable structure wheelchair system controled by face-computer interface (FCI) was developed in this study. FCI used facial electromyography (fEMG) as a human intention recognition method from 6 facial movements, and the accuracy of intent recognition reached 97.6% under a series of offline optimization including channel optimization based on the Hilbert transform to obtain the envelope of fEMG, features optimization, and channel-independent model optimization. A collection of finite state machines (FSM) was used to control the movement and structural changes of the wheelchair. A shared control strategy called “ Keep Action after Take Over (KAaTO) “ that can reduce user fatigue while increasing safety was used in long-distance movement control of wheelchair. To test the performance of the system, in the braking distance test experiment, the result of 0.429m under KAaTO was better than the EMG-based discrete command control and speech command control method. Finally, an outdoor long-distance control pilot experiment proved the superior performance of the developed system.
The Public Library of P. I. Makushin in Tomsk: The Quantitative and Qualitative Fund Structure at the End of the XIX – the Beginning of the XX Century

The fund of the Public Library of P. I. Makushin in Tomsk and the dynamics of its replenishment at the end of the XIXth – the beginning of the XXth century are presented and analyzed. The purpose of the article is to reconstruct the fund of this library. To achieve it, use was made of eleven printed catalogs of this library, additions and attachments to them of different years. This base allowed the calculation the number of titles and volumes of books in the library as a whole and in its departments. It is discovered that their number has increased respectively from 3925 and 6415 in 1878 to 7162 and 9334 in 1907, and in 1916 the fund was replenished by another 2753 and 3745 tytles, which allows us to talk about the steady positive dynamics of the fund replenishment. Quantitative indicators of titles and volumes with works by famous domestic and foreign writers are given in dynamics. Short lists of authors whose works on art, scientific and philosophical works presented in the library fund, and a number of works in all departments are compiled. The presence in the fund of such publications that have introduced to readers the achievements of science and technology, various religious, socio-­political and economic teachings, including revolutionary ones, together with the increase in the number of books in the fund and the predominance of secular literature in it is the manifestation of the modernization of traditional society that took place in the country during the period under review.
Pengaruh Model Pembelajaran Cooperative Integrated Reading and Composition Terhadap Reading Comprehension Achievement Siswa Disekolah Berbasis Pondok.

The purpose of this study was to determine the effect of the CIRC learning model on students' reading comprehension achievement in boarding schools. The method used is experimental by comparing the results of the pre-test and post-test of the control class with the results of the pre-test and post-test of the experimental class. The subjects of this study were 70 boarding students who were divided into a control class and an experimental class. This study uses the independent samples t test analysis technique with the results showing that sig. (2-tailed) is 0.000 &lt;0.05, which means that there is a significant difference between the final score of the control class and the experimental class. The cooperative integrated reading and composition (CIRC) learning model has an effect on increasing students' active roles in the learning process and improving students' reading comprehension achievement
Recent Trends in Calculating Polarity Score Using Sentimental Analysis

The current technological era turns the traditional lifestyle in several domains like publishing news and events has become faster with the advancement of information technology (IT). With the help of information technology, immense amounts of data are being published every minute of every day, by millions of users given by their opinions in the form of comments, blogs, reviews, and opinions through blogs, social media micro-blogging Websites, and many more. In this paper, we want to explore how sentimental analysis plays vital role and has drawn the attention of data scientists.
An Efficient decision-making model of consensus protocols for blockchains: An exploratory study

In addition to being a game-changer for the cryptocurrency business, Blockchain was also a catalyst for the fast rise of certain Distributed Ledger Technologies (DLTs). An important aspect of a DLT system's design is a consensus mechanism, which ensures that almost all interviewees agreed on the integrity of the data. As a result, a broad variety of consensus protocols have been developed, each with a distinct notion and property (e.g., reduced energy usage, greater scalability). When moving from one blockchain network to another, the main criteria for consensus mechanisms typically vary dramatically, so there is no universal protocol. As a result, choosing the best consensus mechanism for a certain DLT system is critical, but also difficult, since experts must balance competing demands. MCDM approaches are used in this research to provide an approach for choosing the best consensus procedures based on criteria, objectives, and other needs. A genuine bike-rental application is used to show the technology's potential, as well as the preferred consensus mechanisms for 3 of the most popular kinds of current blockchain systems. To top it all off, the information and technologies gathered are openly accessible for anybody to use, allowing for maximum replication and future improvement.
Tools for Analytics and Cognition for Crowd Journalism Application

Businesses and service consumers should take advantage of social media’s ability to adapt their marketing campaigns to achieve a long-term strategic advantage. Setting quantitative and attainable expectations is critical to the progress of every marketing or business endeavour. The development of tools for analytics and cognition (TAC) is essential for customers and providers to increase productivity and inject intelligent insights into operational and mission-critical social media businesses through driven analytics. In this paper, the developed tools provide guided analytics software for intelligent aggregation, cognition and interactive visualization with a monitoring dashboard for concrete crowd journalism use cases. The provider receives an approach to a guided analytic dashboard filled with meaningful business visualization predictions. Among the other things, he can inspect the quantitative metrics for a sharing economy and estimate stakeholders’ channel monetization as a new innovative quantified value by engaging users with trusted content. TAC uses this principle of engagement rate measurements and provides visualization insights for stakeholders to choose the right track for boosting their business.
Natural Language Processing to Assess Communication Dynamics between Cooperating Dyads during Video Gameplay

Latent Dirichlet Allocation (LDA) and Sentiment Analysis have become prominent tools in natural language processing applications for both research and industry. While LDA is a generative probabilistic modeling methodology that is widely used in Topic Modeling to extract underlying themes and topics from a collection of words, Sentiment Analysis is defined as identifying the hedonic tone of a corpus of text. Here, supervised Sentiment Analysis is used to classify conversations between team gaming dyads in terms of valence. Additionally, LDA is utilized to label segments of cooperative conversation between dyads as topics. Fourteen participants were paired as dyads (7 teams) and instructed to complete thirty-two 150 second gaming scenarios (trials) in the first-person shooter (FPS) video game Overwatch. While completing the scenarios, participants were instructed to communicate with their respective teammate via a voice communication headset. The conversations from each scenario were transcribed from recorded voice channels before analysis was performed. Our approach examines the relationship between perceived task difficulty and both conversation sentiment scores and topic frequency in both novice experienced skill groups. Preliminary results indicate evidence that conversation topic, sentiment and perception dynamics are consistent with an encouragement and frustration sentiment paradigm.