Reviewerly/exHarmony huggingface dataset:
Libraries of Higher Education Institutions in the Prevalence of Open Science Practices

The aim of the article is to determine the state and directions for improving the implementation effectiveness of the open science concept in libraries of higher education institutions of Ukraine.&#x0D; Research methods. To achieve the set goal and solve the tasks, content analysis, systematic approach, methods of analysis and synthesis, generalization and systematization are used.&#x0D; Scientific novelty. On the basis of the formed sample of 12 libraries of Ukrainian higher education institutions (HEIs), the thematic range of electronic resources and services of institutional repositories is identified, as well as the methodical and regulatory support for their functioning is characterized. The article highlights peculiarities of implementing the basic principles of open science by libraries of Ukrainian HEIs, additionally, reveals the reserves for developing an open information space for scientists and education seekers.&#x0D; Main conclusions. Based on the analysis of Ukrainian and foreign researchers’ scientific works, the contribution of scholars to the formation of conceptual foundations of open science as a communication phenomenon, which is of key importance for the development of the digital society and knowledge society in total, is established. A number of priority tasks that need to be solved are formulated: improving the means of technological support for institutional repositories; providing libraries of HEIs with open access to subscribed resources and abstract bibliographic databases, as well as collections of digitized publications included in the State Register of National Cultural Heritage of Ukraine; providing educational materials in open access (disciplines programs, lectures notes, meetings protocols, didactic materials, etc.); elaborating and implementing a number of information, library and educational methodologies of scientific interaction with different categories of users. The significance of the resource potential of modern practices in HEIs libraries in prevalencing the achievements of open science is substantiated and summarized; the current state of implementing the open science concept in Ukrainian HEIs is determined. Prospects for further research include testing different aspects of the open access implementation; development of open science tools and services by HEIs libraries.
THE SIGNIFICANCE OF THE PROFESSOR HRYHORII LEVCHENKO’S CONDUCTING AND CHORAL ACTIVITIES IN UKRAINIAN CULTURE AND EDUCATION

The article reveals the significance of Professor H. S. Levchenko’s conducting and choral activity in Ukrainian culture and education, its main stages are considered. They are the following: the organization and management of the women’s choir of the Poltava Sewing Factory (1957), the amateur choir “Reshetylivka embroiderers,” the women’s song and dance ensemble at The Palace of Culture of Poltava Cotton and Spinning Factory (1960), the “Horlytsia” choral folk group (1961). The significance of H. S. Levchenko’s creative achievements, participation, and victories in many regional, republican, and international festivals and competitions are emphasized. The peculiarities of the artist’s work with the academic choir chapel of Poltava V. G. Korolenko State Pedagogical Institute (1967), the Ukrainian folk choir “Barvinok” of Poltava meat processing plant (1974) are revealed. It has been determined that the apotheosis of H. S. Levchenko’s conducting and choral activity is the constant artistic direction of the Ukrainian folk choir “Kalyna” (1979-2022). It is analyzed in artistic, pedagogical, and organizational aspects. Attention is focused on the achievement of a high professional and performing level of the group. Its creative achievements and awards, choral repertoire, concert activities, and touring trips are characterized. It is noted that “Kalyna” became a creative laboratory of the Department of Music of Poltava V. G. Korolenko Nation Pedagogical University, where the best traditions of future teacher training were preserved and continued, and the pedagogical ideas of the outstanding Ukrainian teacher, musicologist, conductor, ethnographer, choreographer and composer V. M. Verkhovynets were implemented. Based on the Ukrainian folk choir “Kalyna,” students achieved high-performing vocal-choral, instrumental, and stage skills during several years, enriched themselves spiritually, improved their professional and organizational skills, and deepened their knowledge of musical-aesthetic and national education of the young generation.
The Importance of Artificial Intelligence in Modern Media Education Technologies in Institutions of Higher Education

This scientific work provides information about the importance of artificial intelligence in modern media education technologies in institutions of higher education. Artificial intelligence in media education in Uzbekistan offers unique opportunities for students and educators. Initially, artificial intelligence (AI) is employed for personalizing the educational process by adapting learning materials to the individual needs of each student. This contributes to more effective comprehension of the material and improved academic performance.
EU content moderation law faces enforcement challenges

Significance X is suspected of breaching obligations under the EU’s Digital Services Act (DSA) to counter illegal content and disinformation. Other concerns include the suspected deceptive design of X's user interface, especially the use of verification checkmarks linked to subscription products, and transparency. The probe and the first transparency reports filed by platforms highlight DSA gains and limits. Impacts Social media operating in Europe lack proportionate moderation resources across the 24 EU languages, leaving uncovered countries at risk. Pressure to expand language skills for moderation will rise, particularly for election-bound Finland, Croatia and the European Parliament. Trust in X will decline, affecting the platform’s advertising revenue.
The attribution and expertise of book monuments: based on the V.I. Vernadsky National Library of Ukraine Institute of Book Science experience

The results of research on the attribution and expertise of books and other types of printed monuments in the collections of the Book Science Institute of the V.I. Vernadsky National Library of Ukraine are shown. The purpose, legal basis, and theoretical basis of the expertise of monuments in libraries, the principal stages of the expertise, the conduct of the expertise conclusion, as well as the particulars of the historical and cultural heritage state expertise, are discussed. Special attention is paid to the attribution of monuments (like early printed books or fake books), the way copies from historical gatherings are attributed, and the attribution of music editions, engraved portraits, and phonograph records. The issue of textological attribution is considered. The scientific and scientific methodological advances, covered by this collective monograph, that can be used to study books, music, and works of art in libraries, museums, archives, antiquarian bookstores, and in bibliophilia.
THE QUANTIFICATION OF THE TIME SAVED BY THE PROFESSORS THROUGH THE INTRODUCTION OF THE ELECTRONIC EVALUATION

Technology is evolving with an astonishing speed and because of this fact, more and more high specialized jobs tend to be replaced by different equipment with specialized software and, in some cases, even by robots, with the clear purpose of achieving high efficiency, lower costs, and an increase in the customer service level. At the supermarket, anyone can scan its products, in the bus, the ticket payment can be made by using a card, without having to buy a ticket sold by a person, a lot of local taxes can be paid online, and the examples can go on. In this context, it’s a little bit weird that in education, technology is still a step down behind the normal pace in other fields. That’s why this paper wants to prove that also in education, technology can have a huge impact in increasing substantially the efficiency of the activities performed by the professors while at the same time increasing the quality of the evaluation process and allowing the professor to have more time for preparation, research, materials writing, or just for relaxing and improving its mind set for outstanding performance in front of the students.
Describing Weighted Safety with Weighted LTL over Product omega-valuation Monoids

We define the notion of k-safe infinitary series over idempotent ordered totally generalized product omega-valuation monoids that satisfy specific properties. For each element k of the underlying structure (different from the neutral elements of the additive, and the multiplicative operation) we determine two syntactic fragments of the weighted LTL with the property that the semantics of the formulas in these fragments are k-safe infinitary series. For specific idempotent ordered totally generalized product omega-valuation monoids we provide algorithms that given a weighted Buchi automaton and a weighted LTL formula in these fragments, decide whether the behavior of the automaton coincides with the semantics of the formula.
Global Realism with Bipolar Strings—From Bell Test to Real-World Causal-Logical Quantum Gravity and Brain-Universe Similarity for Entangled Machine Thinking and Imagination

Following Einstein’s prediction that physics constitutes a logical system of thought, this topical review outlines a formal extension of local realism limited by the speed of light to _global realism with bipolar strings (GRBS)_ for brain-universe similarity and human-level intelligence. Related literatures are critically reviewed to justify GRBS which is shown a necessary and inevitable consequence of Bell test and an equilibrium-based axiomatization of physics and quantum information science. With logically definable causality in regularity for quantum superposition/entanglement, GRBS makes spacetime emergence and submergence ubiquitous in both the physical and mental worlds—an unexpected but long-sought simplification of quantum gravity with brain-universe similarity and complete background independence. It is shown that GRBS forms a basis for _quantum intelligence (QI)_—a spacetime transcendent, quantum-digital compatible, analytical quantum computing paradigm where bipolar strings lead to _bipolar entropy_ for energy/information conservation, regeneration, and degeneration toward _quantum cognition and quantum biology (QCQB)_ as well as information-conservational blackhole keypad compression and big bang data recovery. Thus, GRBS is justified as a _real-world quantum gravity (RWQG) _theory—a bipolar relativistic causal-logical reconceptualization and unification of string theory, loop quantum gravity, and M-theory—the three roads to quantum gravity. Based on GRBS it is posited: (1) life is a living bipolar superstring regulated by _bipolar entropy_ that unifies order and disorder; (2) thinking or consciousness as a prerequisite for human-level intelligence is fundamentally mind-light-matter unitary QI logically equivalent to quantum emergence (entanglement) and submergence (collapse) of spacetime. The two posits lead to a positive answer to the question _“If AI machine cannot think, can QI machine think?” _Causal-logical brain modeling for _entangled machine thinking and imagination (EMTI)_ is proposed and illustrated. Testability and falsifiability of GRBS is discussed.
Comparative SVM and Decision Tree Algorithm in Identifying the Eligibility of KIP Scholarship Awardee

Scholarship selection process has specific rules, but if the number of applicants exceeds the quota, a selection process is needed. Based on the observation of a university in Sukabumi, the selection for KIP scholarship has not yet had a standard method. Several methods can be used to assist the selection process, such as classification based on historical data of applicants. The algorithms used for classification include Decision Tree (DT) and Support Vector Machine (SVM). The research process uses SEMMA (Sample, Explore, Modify, Model, Assess) method. Dataset for KIP scholarship awardee from 2021-2022 consist of 519 samples with 16 attributes. From the exploration results, the most important features for model modeling are Status DTKS, Status P3KE, Father's income, mother's income, combined income, and performance. These attributes are converted into numerical data to facilitate model fitting. The K-Fold Cross-Validation results for the Decision Tree model in the case of KIP Scholarship classification yield an accuracy of 78.44% for the entire test dataset, a precision of 0.73107, indicating that 73.11% of the predictions are true, a recall (sensitivity) of 78.45%, and an F1 score of 73.20%. The results for the SVM model are an accuracy of 80.17%, a precision of 84.44%, and a recall of 80.17%.
Sentiment analysis on Hindi tweets during COVID‐19 pandemic

Abstract A gap among the people has been created due to a lack of social interactions. The physical void has led to an increase in online interaction among users on social media platforms. Sentiment analysis of such interactions can help us analyze the general public psychology during the pandemic. However, the lack of data in non‐English and low‐resource languages like ‘Hindi’ makes it difficult to study it among native and non‐English speaking masses. Here, we create a small collection of ‘Hindi’ tweets on COVID‐19 during the pandemic containing 10,011 tweets for sentiment analysis, which is named as sentiment analysis for Hindi (SAFH). In this article, we describe the process of collecting, creating, annotating the corpus, and sentiment classification. The claims have been verified using different word embedding with a deep learning classifier through the proposed model. The achieved accuracy of the proposed model yields up to a permissible rate of 90.9%.
Humans in the Loop: People at the Heart of Systems Development

Abstract Despite increased automation in the process, people are (still) at the heart of software systems development. This chapter adopts a sociotechnical perspective and explores three areas that characterize the role of humans in software systems development: people as creators, people as users, and people in partnership with systems. Software is created by specialist developers such as software engineers and non-specialists such as “makers.” Software developers build communities and operate within several cultures (e.g., professional, company, and national), all of which affect both the development process and the resulting product. Software is used by people. Users also operate within communities and cultures which influence product use, and how systems are used feeds back into future systems development. People and systems are interdependent: they work in partnership to achieve a wide range of goals. However, software both supports what people want to do and shapes what can be done.
Enhancing medical image security: a look into crypto-watermarking method via LabVIEW

This chapter presents a novel method for watermarking and encryption of medical images using the Haar Discrete Wavelet Transform (DWT). The proposed system aims to securely embed patients&apos; private information into medical images followed by encrypting the watermarked images using a chaos-based cryptosystem to enhance robustness. Our approach utilizes standard grayscale images for embedding patients&apos; private data, with the insertion block placed immediately after the Haar DWT process. The encryption phase incorporates the SHA-2 hash function and the Rossler chaotic system for key generation, ensuring both confusion and diffusion for enhanced security. The system includes the transmission of watermarked encrypted data to the cloud, enabling authorized parties to securely access and retrieve the watermarked data. The successful implementation of the proposed system using LabVIEW on the MyRIO board demonstrates its practicality and functionality. Performance evaluation was conducted by subjecting the system to various attacks, including compression, noise, filtering, and geometric transformation. Experimental results showcased low distortion, high robustness in the watermarking process, and enhanced security in the encryption phase.
Background Color and Image

One of the missing elements in the dinosaur game that we started to create in the previous chapter is a good background for our game. For this, we have some ways, and they are a solid color or an image. In this chapter, we will present both options, and remember that we will continue using the dinometeor02 project created in the previous chapter.
Pembangunan Sistem Inventory Berbasis Website pada Toko Lancar Abadi

In this research. Researchers will take a problem still experienced by many entrepreneurs who are just starting or have been running for a long time. An inventory system sometimes it is often underestimated by entrepreneurs, In addition to functioning to see a list of stock items, The inventory system can also be used as a notification if the stock of an item will run out or less than the amount already determined, The researchers will analyze what kind of inventory system is in accordance by the needs of the lancar abadi store. The goal expected by the research is to be able to assist the store in managing data . The final result of this research is an inventory system can manage the data of lancar abadi
Attaining the sustainable development goals using blockchain-based cybersecurity

&lt;p&gt;Sustainable development or sustainability refers to meeting the needs of the present generation while not compromising on the needs of future generation. The cyberspace has increasing become a tool for actualizing sustainable development given the increased volume of online transactions. However, the cyberspace has equally been used to perpetuate crime and criminality, culminating in high level corruption in the society. Corruption thrives in secrecy in governance, weakens state institutions, and promotes injustices in the society, making the actualization of the Sustainable Development Goal 16 (SDG 16) a mirage. Since SDG 16 is the cornerstone for the actualization of the remaining 16 SDGs, this vision paper proposed a blockchain-based cybersecurity system for engendering transparency and accountability in governance, using the Nigerian polity as a case study. We used Use Case diagrams and n-tier Component Diagram to explain how functionalities of blockchain technology can be used to address trust deficit occasioned by crime and criminality. We also harped on how the implementation of the proposed system can impact on the attainment of the SDGs by the target year of 2030.&lt;/p&gt;
COVID-19 AND DIGITAL TRANSFORMATION CHALLENGES: EXPERIENCES FROM UZBEKISTAN AND JAPAN

The COVID-19 pandemic has hit many sectors of the economy but has contributed to the development of the IT and digitalization endeavors. This pandemic also showed the importance of introducing information, communication, and digital technologies into the work of government bodies, private enterprises, and public organizations. This paper sheds light on Uzbekistan’s response to the digitalization which is mainly an emerging area of development in the state programs explaining how it managed to deal with digitalization challenges during the pandemic. This report also highlights the experience of Japan, in the context of its rather conservative, but very systematic approach to the digitalization. As a final remark, author proposes a summary and challenging issues of digitalization development in Uzbekistan. This paper was presented at the International Scientific and Practical Conference “E-justice: Challenges and Opportunities in the Digital Era” (September 26-27, 2022, v. Sary -Oi, Issyk-Kul region, Kyrgyzstan) and published with support of Volkswagen Foundation (Germany).
SCOUTING AS AN EFFECTIVE MEDIA FOR YOUNG GENERATION CHARACTER BUILDING: TALCOTT PARSON'S SOCIAL SYSTEMS THEORY

This article illustrates how scouting practices can have a positive impact on the character-building of children and youth using Talcott Parson's social systems theory. Scouting provides hands-on experience through outdoor activities, community service, and learning practical skills. This article also highlights the important role of scout leaders who provide positive role models and guidance and reinforce scouting values. In this paper, the research approach applied is using literature analysis, referring to sources from accredited journals at both national and international levels. The focus of the study is to discuss the role of scouting as an effective tool in shaping the character of the younger generation. The results of active involvement in the scout movement are young people who are independent, brave, religious, leaders, and responsible. This article provides an in-depth insight into how scouting can be an effective medium in shaping the character of the younger generation, providing a solid foundation for personal improvement and positive contribution to society.
Analyzing Public Sentiment and Acceptance of the Bimodal Voter Accreditation System in Nigeria using Sentiment Analysis and RoBERTa Model

The research article investigates the satisfaction of voters with the deployment of the Bimodal Voter Accreditation System (BVAS) in the 2023 Nigerian presidential election by conducting a sentiment analysis of Twitter posts. The article aims to analyze public opinion and sentiment towards the BVAS system and provide valuable insights that can inform policy decisions and actions related to the implementation and improvement of the system. In this study, Twitter posts related to BVAS and the election were collected using the Twitter streaming API. A total of 997,400 tweets were obtained. The data preprocessing phase involved cleaning the tweets by removing noise, filtering out irrelevant comments, and segmenting the text into words or phrases. The sentiment analysis itself was conducted using the Robustly Optimized BERT Pretraining Approach (ROBERTa), which is a language model introduced by Facebook AI. ROBERTa is a powerful model for sequence modeling and is optimized for sentiment analysis. It predicts the sentiment of each tweet as either positive or negative. This study reveals that attitudes toward the employment of BVAS in the Nigerian presidential election of 2023 are neutral, the acceptance rate is low compared to the rejection rate. Although, there is a large percentage of people who are unfavorable to the introduction of this technology. The study utilized Twitter data exclusively for sentiment analysis, which may limit its accuracy in representing the sentiments of the entire population. Twitter users may not be a fully representative sample and could introduce biases. Additionally, the sentiment analysis focused on English tweets only, potentially overlooking sentiments expressed in other languages spoken in Nigeria, like Hausa, Yoruba, or Igbo. To achieve a more comprehensive analysis, future research could expand to include sentiment analysis of tweets in different languages.