Reviewerly/exHarmony huggingface dataset:
EDUCATIONAL INSTITUTION MANAGEMENT SKILL IN INTERACTION WITH THE FEMALE TEACHING TEAM

The article shows the latest approaches to the problem of researching female educational teams, their management, harmonizing methods. The novelty of scientific research is noted. The unique features of interpersonal relations in modern female pedagogical teams are indicated. After all, they are not a team, but weakly hierarchical, based on personal and mostly informal relationships. The positive and negative sides of such a team are shown. In order for him to be low-conflict, controlled, that is, psychologically positive, his management must have a program of scientifically verified interaction. The author's draft of such a program is presented in the article. The author considers this approach of managing the female educational team to be relevant. The formation of socio-psychological and pedagogical conditions for the successful management of the female educational team is considered as a way to realize each woman's personal internal resources and reserves aimed at improving the pedagogical process. At the same time, it is the creation of conditions for personal and professional growth, realization of creative and creative efforts of women. The development of the system of "horizontal connections" requires systematic coordination of relations both within and between structural divisions, because the women's team is easily polarized with the formation of informal groups, has increased demands on the manager's ability to eliminate contradictions between formal and informal relations of subordinates, assigns a special, incomparable objectively, even too close subjective attention to personal qualities, etc.
ACTIVATION OF SCIENTIFIC CIRCLES IN THE NEW UKRAINIAN SCHOOL

In the article, the author presents a set of pedagogical conditions for the activation of scientific circles in a new Ukrainian school as a holistic process that involves the implementation of a set of pedagogical conditions: the development of an innovative model of the organization of a scientific circle; a comprehensive approach in the application of forms of student involvement in search and research work; involvement of librarians in the conduct of scientific circle classes; application of innovative and developmental technologies, which are focused on the formation of students' ability for scientific and research work; digitalization of the work of the scientific circle. The science club at the school will be interpreted as an association of purposeful students (mostly high school students), which creates a creative and developmental scientific environment by initiating and implementing successful projects aimed at supporting the latest scientific ideas, innovations and knowledge exchange. It was found out that the pedagogical result of the exchange of scientific activities of the circle participants is the transformations that occur in the student's personality under the influence of the scientific research activity performed by him, that is, the share of independence of the student's personality, which is formed in the plane of this form of work, increases.
FORMATION OF COMPETENCIES OF COLLECTIVE SOFTWARE DEVELOPMENT OF STUDENTS IN THE FIELD OF INFORMATION TECHNOLOGY IN THE PROCESS OF USING FREE SOFTWARE

The article analyzes the existing systems that provide an opportunity for collective software development by students of information technology and offers recommendations for their use in the educational process. In the authors' opinion, it is advisable to use free versions of the Atlassian stack (Jira, Bitbucket, Confluence), which allows forming professional competencies in collaborative software development of future specialists, while the limitations of free versions are not critical for educational purposes.&#x0D; The concept of the competence of collective software development of an information technology specialist is formulated, by which we mean the integrated ability of an individual to effectively solve software development tasks in the process of teamwork in professional activities.&#x0D; It has been found that software development requires the implementation of many steps, from defining requirements to testing and releasing a product. In the process of forming a collective software development of an information technology specialist, cloud services and other systems (Bitbucket, GitHub, GitLab, Jira, Asana, Basecamp, Mantis, Bugzilla, etc.) are used.&#x0D; Training future IT professionals in the development process and involvement in real software development projects will help them acquire, develop, and improve their collaborative software development competencies.
Real-Time Monitoring of a PV-Based Solar Power System in a South-Western Nigerian City using LABVIEW

Understanding what is obtainable from a PV-based solar power system is key to proper sizing of the system. The parameters that are important are the time range available for energy delivery from the panel, time at maximum charging current and the available charging current. To determine these parameters, this work sets up a complete PV-based solar system that was interfaced with National Instrument myDAQ (NI myDAQ) and LABVIEW program for data collection for a specific period of time. The collection periods were nineteen (19) days which cuts across days in September to November. The data collected are the time stamps, charging current and battery voltage. The study outcome reveals that the average time range for the delivery of energy from the solar module for those periods are 7:24 am to 5:31 pm. The average time at maximum charging current is 12:32 pm. The maximum charging current recorded is 0.509 A, which is 89.3 percent of the panel’s current at maximum power.
Continuous improvement of experimentation in Physics through its monitoring

Throughout his dedication to innovation in teaching and research in various theoretical-experimental fields, the author of this communication has detected very significant deficiencies in the theoretical-experimental preparation of some of the people who are part of a small group of work, group that later must jointly carry out the corresponding experimentation. The purpose of this Teaching Innovation Project (TIP), is to improve said preparation by monitoring and evaluating it. With the aim of achieving a better qualitative and quantitative performance of the subsequent experimental work by the students of first year subjects with experimental dedication. Given the minimum experimental training of the aforementioned students in the previous educational stages, this TIP proposes to carry out an exhaustive monitoring by means of daily use tools in the current society of Information and Communication Technologies: the personal smartphone of each student.
Development of a Qr Code-Based Student Worksheet in the Course of Media and Learning Resources Development to Improve Digital Literacy

This article is based on the limited number of reading materials and instructions in using a laboratory facility, so the development of media and learning resources is important to be updated using the encyclopedia and videos as the learning resources in the form of QRCode. Therefore, this article aimed to develop media and learning resources by using a QRCode to improve digital literacy. This article used the Plomp model consisting of problem identification and analysis phase, development and prototyping phase, and assessment phase. The data were collected by distributing an online questionnaire and analyzed by using the descriptive-quantitative method. Based on this development study QR Code-based student worksheets fulfilled the practicality of 83.40% in the ‘practical’ category and the effectiveness seen from the score of the students’ literacy skills of 78.89% in the “Good/ Effective” category. The implication of this study is producing a product with a novelty and can be a reference for conducting effective and efficient learning.
The Work in Question

The International Conference on Cataloging Principles (Paris, 1961) led to wide acceptance of Seymour Lubetzky’s distinction between books and works, where books denoted particular physical objects and works concerned conceptual abstractions associated with the creative labor of particular authors. Lubetzky’s formulation of works is included in many of the world’s cataloging frameworks, including the Functional Requirements for Bibliographic Records (FRBR). Several conceptual and practical difficulties arise from the widespread adoption of Lubetzkian works in practices associated with knowledge organization. However, FRBR and other knowledge organization frameworks that utilize works as central entities could be made more useable and useful if work, as an organizing principle, were de-emphasized and seen as one among many concepts used for aggregating sets and supersets of objects according to how likely they are to be useful to users of knowledge organization tools like catalogs.
Book Review: Taxonomies: Practical Approaches to Developing and Managing Vocabularies for Digital Information

The importance of taxonomies has been visible in recent years, whether it is with organizations that oversee describing communities of people or how to sell on the importance of taxonomies to the stakeholders of a company. There have been conversations within the Library of Congress on whether to change the search terms defining marginalized groups; universities are dealing with similar issues when they are faced with students questioning why a book has been categorized or shelved in a certain way; and if someone is trying to start a business that involves helping people with their travel needs, they need to consider who their targeted audience is, what terms that audience would be using and tailor the business model to suit those needs for prime optimization. These are just some of the examples of how taxonomies can help organizations and it is important to be able to identify and show this potential to colleagues and stakeholders.
Integrating Pupilometry and Self-Assessment for Holistic Evaluation of Metaverse Experiences

This poster proposes an integrated approach to assessing the negative psychological and behavioral impacts of virtual/augmented reality experiences (metaverse) by combining pupilometry for near-real-time feedback and periodic self-assessments for a longitudinal view. Traditional approaches relying on self-report surveys and interviews have significant limitations, and the integrated approach increases reliability and enables proactive intervention.
Donna: A Data Model for Enabling Extensible and Efficient Metaverse Applications

The advent of Metaverse applications, that exploit extended reality technologies, has the potential to disrupt multiple industries including gaming, social networks, entertainment and travel. While there has been initial work on network, compute and synchronization features needed for the Metaverse, a comprehensive data model that captures the interactions between the physical and virtual worlds has not been evaluated extensively. Providing a formal data model would be crucial to ensure interoperability, model extensibility and applicability to multiple use cases. In this paper, we propose Donna: A Data Model for Enabling Extensible and Efficient Metaverse Applications. Donna provides a detailed data model of interactions between physical space, virtual spaces, sensors, devices, physical participants and avatars. Via the use of property graph schemas, we demonstrate the varied interactions between the physical and virtual worlds and the extensibility of the approach across multiple use cases. The data model is specifically demonstrated over a virtual museum visit use case to explain the nuances of sensing, dynamic property update and semantic interactions between physical and virtual objects.
Exploring Indonesian Lecturers' Perceptions and Practices on English Language Assessment

Assessments are crucial in teaching English as a Foreign Language (EFL), impacting students' knowledge acquisition and influencing teachers' beliefs and training. The present research investigates lecturers' fundamental conceptions regarding assessing English as a foreign language (EFL) and their instructional practices in higher education. Twelve English department EFL lecturers participated in a study using purposive sampling, semi-structured interviews, and questionnaires. The research used a thematic analysis methodology to identify themes, classifications, and subcategories reflecting respondents' perspectives on EFL evaluation. The study's results showed that the subjects used diverse terminology to illustrate evaluation, offering a stimulating context for their respective methodologies. Furthermore, the participants believed that language assessment serves multiple purposes, including administrative and educational functions. Most respondents viewed evaluation as a continuation of English as a Foreign Language (EFL) classroom instruction and acquisition, significantly influencing students' educational outcomes and learning strategies. Therefore, considering how assessments can improve student learning will likely influence educators' working in EFL assessment. Research highlights the need for professional development for lecturers to improve their understanding of language assessment and practice through workshops, training sessions, and resources.
ARTICLE REVIEW: ENHANCED APPROACHES FOR HIGH LEVEL OF SECURITY USING BASICALLY RAIL FENCE ALGORITHM

Due to the security issues, online information sharing has currently become a serious challenge. Therefore, new methods are needed for safeguarding and protecting shared data over an unsecured channel. The art of obtaining security through encoding messages and rendering them unintelligible is known as cryptography, which is the science of securing data. This science aid to encrypt data such that it could be decrypted independently of the sender. A variety of algorithms are available for decrypting and encrypting data, including (Caesar, Rail Fence, Hill cipher, Vigenere, and others). They are frequently utilized in conjunction with other ciphers or other methods to make a product cipher, which increases the complexity of encryption. This study reviews different effective methods from a number of earlier works. The findings demonstrate that each work utilized a particular enhancement regarding Rail Fence algorithm with various data types (image, text, and others) in order to achieve a high level of security
An Action Research on Visual Culture Art Education Using Credit Titles: Focusing on Communication Skills for 3rd Graders of Elementary School

The educational need for visual communication is being raised for students living in the digital age to critically interpret and accept visual culture. Art plays an important role as a subject that collects various information, visually expresses one
Decentralized and Automated Online Voting System using Blockchain Technology

A decentralized and automated online voting system refers to an electronic voting method that leverages Blockchain technology to guarantee both transparency and security. It removes the need for intermediaries, making it more efficient and cost-effective than traditional voting methods. Aim of the paper is to develop an online voting system using Blockchain technology for secure and transparent voting. The proposed approach involves developing a decentralized voting system using Ethereum Blockchain technology. Smart contracts are used to manage the voting process and ensure its integrity. The datasets used in this paper will consist of mock voting data to simulate a real-world scenario. The results and discussions include an analysis of the system’s performance in terms of security, scalability, and usability. Future enhancements include integrating biometric authentication for enhanced security and accessibility.
Breast Cancer Detection using Image Segmentation

Breast cancer is the most prevalent kind of malignancy in women, and diagnostic systems that apply artificial intelligence algorithms for breast imaging have shown positive results. Two methods that increase the precision of detecting breast tu-mors from mammography images are a multiclass support vector machine model and a deep convolutional neural network (DCNN) using K-means clustering. To accurately diagnose breast tumors, the pectoral muscle (PM) border must still be dis-tinguished from the rest of the breast tissue. By merging the transfer learning model with a number of pre-trained CNN structures, this research offers an Ensemble-Net model for distinguishing the PM boundary from the rest breast region in mammograms. The segmentation procedure consists of 2 steps. According to the input, various regions of interest are formed in the initial phase and include the object.
Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions

BERT (Bidirectional Encoder Representations from Transformers) uses an encoder architecture with an attention mechanism to construct a transformer-based neural network. In this study, we develop a Chinese word-level BERT to learn contextual language representations and propose a transformer fusion framework for Chinese sentiment intensity prediction in the valence-arousal dimensions. Experimental results on the Chinese EmoBank indicate that our transformer-based fusion model outperforms other neural-network-based, regression-based and lexicon-based methods, reflecting the effectiveness of integrating semantic representations in different degrees of linguistic granularity. Our proposed transformer fusion framework is also simple and easy to fine-tune over different downstream tasks.
Towards Decentralization in DPoS Systems: Election, Voting and Leader Selection Using Virtual Stake

Delegated Proof of Stake (DPoS) is a high throughput, low power consumption consensus mechanism is which elected participants or witnesses vote to accept blocks to be included in the blockchain ledger. However, DPoS is prone to centralization of voting power which can introduce bias and degrade the usability of the blockchain. In this work, we propose the concept of virtual stake which measures the truthfulness of witness voting throughout the round. Virtual stake at the end of a round is used as incentive for the next election of witnesses, but electors have a discretionary right to cast a portion of their votes for candidate witnesses regardless of their past behavior. Virtual stake is also used to guide the process of selecting the leader(s) to propose blocks for voting in PBFT cycles within the round, which prevents mis.behaving witnesses from submitting blocks. We describe and solve the analytical model of witness behavior, assuming that witnesses can be categorized into behavioral classes with different probability of truthful voting, false voting, and abstention. Our results show the impact of class populations, and voting behavior on virtual stakes, distribution of votes, and, most importantly, on overall consensus probability. The impact of centralization and witness misbehavior in voting can be countered by an increase of voting groups and decrease of round size, although further control of voting process during a round may be necessary to maintain the desired performance level of the blockchain system.
An Asynchronous Multi-Task Semantic Communication Method

Semantic communication has sparked great interest, due to the rising demands of emerging applications on high communication capacity and low latency. The majority of existing semantic communication methods are task-oriented, which transmit task-related semantic information via synchronous trained deep learning-based (DL-based) encoders and decoders. However, these methods have limitations in handling multi-task communications. Moreover, the synchronous training paradigm also leads to significant communication overhead in the establishing phase. In this article, we propose an asynchronous multi-task semantic communication method. In the proposed method, the DL-based encoder is trained independently using a contrastive learning method to extract task-independent semantic knowledge. Then, the receiver trains different DL-based decoders to perform various communication tasks based on the pre-trained encoder. Our method enables the accomplishment of multiple communication tasks in a single transmission. Moreover, the asynchronous training paradigm can reduce the communication overhead during the training phase of our system. The experimental results demonstrate that the proposed method achieves state-of-the-art performance in image classification and reconstruction tasks while requiring less than 10% of the training communication time compared to existing semantic communication systems.
Polymorphism

Polymorphism is such a powerful feature of object-oriented programming that you’ll use it in the majority of your C++ programs. Polymorphism requires you to use derived classes, so the content of this chapter relies heavily on the concepts related to inheritance in derived classes that we introduced in the previous chapter.
Basic Ideas

In this book, we sometimes use certain code in the examples before explaining it in detail. This chapter is intended to help you when this occurs by presenting an overview of the major elements of C++ and how they hang together. We’ll also explain a few concepts relating to your computer’s representation of numbers and characters.
Constrained Templates and Concepts

Templates define parameterized families of C++ entities such as functions (Chapter 10 ) or class types (Chapter 17 ). In practice, templates are mostly parameterized on seemingly arbitrary types. Yet most templates cannot be instantiated for just any type; at least not without error. The binary std::max<>() function template, for instance, can only be instantiated for types that support the < operator. And the std::vector<> and std::optional<> class templates may not be instantiated for reference types, void, or array types. Most of your own templates have similar restrictions as well, whether you realized it or not.
Function Templates

You may have noticed that some of the overloaded functions in Ex8_15 consisted of exactly the same code. The only difference were the types that appear in the parameter list. It seems an unnecessary overhead to have to write the same code over and over, just because it has to work for different types. And indeed it is. In such situations you can write the code just once, as a function template. The Standard Library, for instance, makes heavy use of this feature to ensure that its functions work optimally with any type, including your own custom types, which of course the library cannot know about in advance. This chapter introduces the basics of defining your own function templates that work with any type you desire.
Working with Strings

This chapter is about handling textual data much more effectively and safely than the mechanism provided by a C-style string stored in an array of char elements:
Inheritance

In this chapter, you’ll look at a topic that lies at the heart of object-oriented programming: inheritance. Inheritance is the means by which you can create new classes by reusing and expanding on existing class definitions. Inheritance is also fundamental to making polymorphism possible. We’ll discuss polymorphism in the next chapter, so what you’ll learn there is an integral part of what inheritance is all about. There are subtleties in inheritance that we’ll tease out using code that shows what is happening.