Reviewerly/exHarmony huggingface dataset:
TimeLighting: Guidance-Enhanced Exploration of 2D Projections of Temporal Graphs

In temporal (or event-based) networks, time is a continuous axis, with real-valued time coordinates for each node and edge. Computing a layout for such graphs means embedding the node trajectories and edge surfaces over time in a $$2D + t$$ space, known as the space-time cube. Currently, these space-time cube layouts are visualized through animation or by slicing the cube at regular intervals. However, both techniques present problems ranging from sub-par performance on some tasks to loss of precision. In this paper, we present TimeLighting, a novel visual analytics approach to visualize and explore temporal graphs embedded in the space-time cube. Our interactive approach highlights the node trajectories and their mobility over time, visualizes node “aging”, and provides guidance to support users during exploration. We evaluate our approach through two case studies, showing the system’s efficacy in identifying temporal patterns and the role of the guidance features in the exploration process.
On the Complexity of Lombardi Graph Drawing

In a Lombardi drawing of a graph the vertices are drawn as points and the edges are drawn as circular arcs connecting their respective endpoints. Additionally, all vertices have perfect angular resolution, i.e., all angles incident to a vertex v have size $$2\pi /\deg (v)$$ . We prove that it is $$\exists \mathbb {R} $$ -complete to determine whether a given graph admits a Lombardi drawing respecting a fixed cyclic ordering of the incident edges around each vertex. In particular, this implies $$\textsf{NP}$$ -hardness. While most previous work studied the (non-)existence of Lombardi drawings for different graph classes, our result is the first on the computational complexity of finding Lombardi drawings of general graphs.
Balancing Between the Local and Global Structures (LGS) in Graph Embedding

We present a method for balancing between the Local and Global Structures (LGS) in graph embedding, via a tunable parameter. Some embedding methods aim to capture global structures, while others attempt to preserve local neighborhoods. Few methods attempt to do both, and it is not always possible to capture well both local and global information in two dimensions, which is where most graph drawing live. The choice of using a local or a global embedding for visualization depends not only on the task but also on the structure of the underlying data, which may not be known in advance. For a given graph, LGS aims to find a good balance between the local and global structure to preserve. We evaluate the performance of LGS with synthetic and real-world datasets and our results indicate that it is competitive with the state-of-the-art methods, using established quality metrics such as stress and neighborhood preservation. We introduce a novel quality metric, cluster distance preservation, to assess intermediate structure capture. All source-code, datasets, experiments and analysis are available online.
Políticas públicas arquivísticas nas pesquisas dos programas de pós-graduação STRICTO SENSU EM Ciência da Informação do Brasil

This article aims to map the scientific production of stricto sensupostgraduate programs in Information Science in Brazil, in order to study archival public policies, the subject of an ongoing thesis. This is a quali-quantitative, exploratory and descriptive research carried out in two stages. In the first, 74 works were identified, throughsearches in the Catalog of Theses and Dissertations of the Coordination for the Improvement of Higher Education Personnel(CAPES). In the second, using bibliographical research techniques, reflective readings were carried out to prepare a systematic literature review with the identified data. Of the 74 works, 46 were used in the research because they were produced in Information Science programs. From its analysis, it is concluded that there is agreement on the use of the terms archival policies and archival public policies as synonyms, as well as on the lack of archival public policies in Brazil, despite the legislation in the area. The works of José Maria Jardim are the most used references in discussions about archival policies and archival public policies, in the analyzed material.
Educational software environment for the study of abstract Turing and Post computing machines

The Federal Work Program of Secondary General Education in Informatics at an in-depth level involves familiarization of schoolchildren with Turing and Post machines as universal models of computing. The use of Turing and Post machines interpreters in the educational process makes it possible to overcome the difficulties associated with learning based on abstract logical thinking. The article describes the possibilities of the educational software environment developed by the authors, which contains three sections for each computer. In the "Theory" section, students can get acquainted with the features of the Post and Turing machines. The "Simulator" section allows the user to create their own examples or analyze ready-made ones, in this section it is possible to run the program step by step, with each step accompanied by comments. In addition, in this section, you can perform laboratory work, the tasks of which are randomly generated according to a template. With the help of the "Control" section, the teacher can test students' knowledge on this theme by solving a series of tasks. Each task is randomly selected from the prepared database of tasks. The principle of gradualness and sequence of tasks is observed. The educational software environment described in the article allows you to organize both front-end and individual work of students.
Phishing in Web 3.0

The emergence of Web 3.0 technologies is undoubtedly shifting the phishing threat landscape by empowering traditional attack vectors and forcing attackers to adapt and leverage new techniques. Offering new opportunities for the attackers to exploit and adding new challenges for cybersecurity professionals. This paper aims to exhibit the evolution of phishing attacks in Web 3.0, the different techniques and novel technologies cybercriminals leverage for scaling phishing campaigns, and explores the challenges and promising solutions defenders can adopt to narrow the strategic gap in this emerging component of the attack vector. The paper commences by summarizing the different wide web generations until it reaches Web 3.0 and starts exploring its architectural distinguishing features. Afterward, it deductively treats the convoluting threats of the new web technology as an entrance to focus on phishing attacks by discussing the concept of phishing from various angles while shedding light on emerging threats from phishing 3.0 and potential solutions that can make a substantial impact.
Teaching methodology for modeling the activities of company within the discipline “Design of information systems”

Problem statement . The topic of modeling the activity of a company within the discipline “Design of information systems” remains one of the most difficult for students to understand. Students quickly master CASE tools and the syntax of graphic languages, but this is not enough to build correct models. Difficulties are associated with the lack of clear criteria for the correctness of the model and the many alternative solutions. The purpose of the study is to develop a methodology for teaching modeling, which will allow students to form a deeper understanding of the topic. Methodology . Experimental work was carried out on the basis of the Donetsk Academy of Management and Public Administration. In the experiment took part 79 students of the second year of bachelor's degree in the direction of training 09.03.03 “Applied informatics”. The experiment consisted of an anonymous questionnaire and statistical processing of its results. Results. Based on the analysis of typical mistakes of students, a “worksheet” has been developed, consisting of a number of empirical rules, which is recommended to be issued to students before starting to independently perform the simulation. Students are encouraged to constantly check for compliance of the constructed models with the proposed rules. The results of the experiment showed significant qualitative changes in the implementation of individual projects by students who used the proposed “worksheets”. Conclusion . The use of the described methodology in teaching students of the direction of training 09.03.03 “Applied informatics” within the discipline “Information systems design” provided a more conscious approach of students to modeling and, as a result, more correct performance of tasks.
Efficient Multi-Scale Attention Residual Network for Breast Cancer Histopathology Image Classification

In recent years, convolutional neural networks have achieved significant success in the field of breast cancer histopathological image classification. This study reexamines the application of scale analysis and cross-spatial learning, introducing EMAResNet, a novel breast cancer classification approach based on multi-scale attention mechanisms. EMAResNet integrates feature grouping and cross-spatial learning, efficiently processing and distributing spatial semantic features while significantly reducing computational complexity. By parallel processing of multi-scale features and efficient feature fusion, the model effectively captures and utilizes crucial information in image data. This approach has been extensively evaluated on the BreakHis breast cancer pathology image dataset, demonstrating superior classification performance.
Teaching artificial intelligence in secondary school: from development to practice

Problem statement . Currently, various global and national institutions promote mainstreaming artificial intelligence (AI) technology into training programs for school students. The effectiveness of introducing artificial intelligence into school curricula depends on four factors: 1) defining methodological foundations for creating educational content; 2) selecting and structuring appropriate learning content; 3) adapting the content to the needs of different age groups; 4) integrating the content into school programs. The current study provides theoretical foundations for generating learning content for AI lessons aimed at secondary school students and determines possible ways of integrating that content into school programs. Methodology. The empirical part of the study involved 225 secondary school students aged 11-14 (forms 5 to 9) as well as 125 teachers from comprehensive schools located in Moscow and the Moscow region. Analysis, synthesis, testing and sampling average methods were used. Results. The authors conducted a pilot testing of the developed educational materials, measured students’ AI-related skill and knowledge and processed the obtained data using the method of selective averages. The theoretical research conducted showed the leadership of artificial intelligence training in primary schools, mechanisms for developing learning outcomes in the field of artificial intelligence for primary school students, the opportunity to reveal the possibility of forming the content of artificial intelligence training based on various approaches. The goals and results of teaching the basics of artificial intelligence within the framework of basic school were determined. The content of training was formulated. Conclusion. The research is characterized by scientific and practical novelty, as it helps determine methodological grounds for teaching AI to secondary school students and proposes a detailed unit plan for an AI training course in secondary school.
Mechatronic System for ESP32CAM OpenCV Rice Plant Pest Detection

In general, research on rice pest detection systems has been found to use recognition camera systems and color image processing, but previous research did not utilize how the pest detection results produce mechanical system output. The aim of this research is to design and test the ESP32CAM camera system using Open CV to detect types of rice pests and send the pest reading data system to the microcontroller via IoT to produce a mechanical system output in the form of lights. The method used in this research is broken down into several parts, namely, the use of the ESP32CAM system for taking images using Open CV to change the color image in order to detect the type and shape of the final pest using the IOT system to transfer data to the ESP32 microcontroller system to turn on the mechanical lighting system. The results of this research explain that there are 3 types of pests, namely Bacterial Leaf Blight, Brown Spot and Leaf Smut, 5 samples each. From the 5 samples, the number of boxes detected was 6 in Bacterial Leaf Blight, 15 in Brown Spot and 3 in Leaf Smut in the first sample. From these results, the mechanical system on the lamp indicates that the white light color is the Bacterial Leaf Blight pest, the yellow color is the brown spot pest and the blue color is the leaf smut pest.
Image Dehazing Algorithm based on Morphological and Exposure Enhancement

Aiming at the problems of low brightness and information distortion in most image dehazing algorithms, an image dehazing algorithm based on morphological and exposure enhancement was proposed. An initial transmittance is constructed based on dark channel prior, and through a linear model that can estimate haze density, then the transmittance is optimized by morphological closing and opening operations and gradient domain guided filtering. Atmospheric light is obtained by using minimum filter and quad-decomposition algorithm. An image compensation method is proposed to enhance the details of the dehazed image, an exposure enhancement method is used to improve the brightness, and finally converted to the YUV color space and the Y channel is denoised using the BM3D algorithm.
Lesson-game "In search of lost bytes"

The article describes the experience of developing and conducting a lesson-game in informatics, in which, in the form of a team competition, students' initial knowledge about the computer, types of information, actions with information is repeated and consolidated, and logical thinking is also activated. All stages of team game are presented with the formation of universal educational actions in students and the achieved subject learning results. The content of the lesson is structured in such a way that, after passing all competitions, students will be able to consolidate subject competencies and continue to develop meta-subject competencies. The course of the lesson is based on the fact that students take turns performing tasks and working in a team. Each stage of the lesson is accompanied by a demonstration of tasks and questions on an interactive board with musical accompaniment, which ensures a positive mood for the game. The jury assigns points to teams using score sheets. At the end of the lesson-game, the jury announces the results, and the teams are awarded places in the competition. The teacher prepares award materials in the form of certificates and medals in advance.
Relevance of Interdisciplinary Approach in the Study of Consciousness

The research is devoted to justification of the interdisciplinary approach in the study of consciousness. Studying consciousness as a phenomenon is a very divergent project, the mystery of its nature and appearance makes different ways of studying consciousness possible. Besides, consciousness is an umbrella term which may be interpreted differently in different contexts. Various approaches to comprehension of consciousness have been developed nowadays in Philosophy, Psychology, Biology, Medicine, Neurosciences, Sociology, Cognitive and Computer Sciences, Linguistics and a number of other research fields. In the end of the 1980s one can notice an exceptional growth of interest in the problem of consciousness both in Philosophy and Science. The works by Bernard Baars, Daniel Dennett, Roger Penrose, Francis Crick and Christopher Koch, David Chalmers have appeared in these years. They outlined the main approaches to the study of consciousness and demonstrated that study of consciousness became an interdisciplinarity research. The research discusses the features of the phenomenon of consciousness and outlines the main theoretical issues, the most relevant of which are the “hard problem” of consciousness, the problem of mind and body, the problem of “the explanatory gap”, the question of the primacy of the brain in relation to consciousness, the place of consciousness in the modern scientific paradigm, changes of the ethical and worldview interpretation in connection with artificial intelligence, neurochips and neural network. Based on the complexity and multidimensionality of the research field associated with the problem of consciousness, the variety of approaches to studying this problem in Philosophy and Science, the controversial character of the questions raised, and the heated discussion among researches, the author concludes that interdisciplinary studies of consciousness have the greatest heuristic possibilities today.
Multiparty Computation: To Secure Privacy, Do the Math

Multiparty Computation is based on complex math, and over the past decade, MPC has been harnessed as one of the most powerful tools available for the protection of sensitive data. MPC now serves as the basis for protocols that let a set of parties interact and compute on a pool of private inputs without revealing any of the data contained within those inputs. In the end, only the results are revealed. The implications of this can often prove profound.
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs

We present the AutoConcierge system that can “understand” human dialogs in a specific domain, namely, restaurant recommendation. AutoConcierge will interactively “understand” a user’s utterances, and request the user to provide required information via a natural language reply. AutoConcierge uses GPT-3 to convert human dialogs into predicates that represent knowledge implicit in the dialogs. These predicates are then input into the goal-directed s(CASP) answer set programming (ASP) system for performing commonsense reasoning to compute responses in the form of predicates. GPT-3 is used again to convert these computed predicates into natural language sentences that are communicated to the user. To the best of our knowledge, AutoConcierge is the first automated conversational agent that can realistically converse like a human based on truly understanding user utterances. The framework used for AutoConcierge provides a recipe for developing other task-specific chatbots leveraging large language models and answer set programming.
Ontological Reasoning over Shy and Warded Datalog+/– for Streaming-Based Architectures

Recent years witnessed a rising interest towards Datalog-based ontological reasoning systems, both in academia and industry. These systems adopt languages, often shared under the collective name of Datalog $$^\pm $$ , that extend Datalog with the essential feature of existential quantification, while introducing syntactic limitations to sustain reasoning decidability and achieve a good trade-off between expressive power and computational complexity. From an implementation perspective, modern reasoners borrow the vast experience of the database community in developing streaming-based data processing systems, such as volcano-iterator architectures, that sustain a limited memory footprint and good scalability. In this paper, we focus on two extremely promising, expressive, and tractable languages, namely, Shy and Warded Datalog $$^\pm $$ . We leverage their theoretical underpinnings to introduce novel reasoning techniques, technically, “chase variants”, that are particularly fit for efficient reasoning in streaming-based architectures. We then implement them in Vadalog, our reference streaming-based engine, to efficiently solve ontological reasoning tasks over real-world settings.
Characteristics Motivation of Work in the Context of Work Engagement Among Preschool Teachers

Being a specific group of educators due to the specifics of the organization as well as the pedagogical and psychological content of their activities, preschool teachers show both similar and different characteristics in comparison with their peers from other educational institutions. At the same time, data on their work engagement, as well as on its connection with autonomous and controlled motivation, are scarce. The purpose of this study was to identify the connection between the professional motivation of the preschool teachers and their work engagement. The research involved 260 female participants ( M = 35.95, SD = 10.08), of whom 131 were preschool teachers and 129 made up a comparison group (the respondents were employed in different fields of activity). Data were collected using the Utrecht Work Engagement Scale (UWES) by W. Schaufeli and A. Bakker (adapted by D.A. Kutuzova) and the Professional Motivation Questionnaire by E.N. Osin et al. The results of the study confirmed the hypothesis of a positive relationship between autonomous professional motivation and work engagement, and a negative relationship between controlled motivation and work engagement. In addition, data were obtained on the significant predictive role of autonomous motivation for the level of work engagement. It was also found that the preschool teachers had higher rates of work engagement, as well as autonomous and controlled professional motivation, than the respondents of the comparison group. At the same time, in the group of the preschool teachers, with pronounced autonomous motivation, the effect of controlled motivation, which is negative for work engagement, disappears, which was not found in the comparison group. The age of the preschool teachers turned out to make a positive impact to their work engagement. As prospects for further research, it is proposed to involve teachers employed at different levels of the educational process (preschool, junior school, etc.), as well as to clarify the role of age and experience of the preschool teachers in their work engagement and professional motivation, since the available data are rather ambiguous.
Analysis of Library Retrieval Design Based on Knowledge Graph and User Profile

With the continuous development of information technology, people's requirements for book retrieval are becoming higher and higher. How to fully utilize a large amount of information, effectively mine out potentially valuable information, and improve the efficiency and quality of library retrieval is currently a major research hotspot. This article conducts research from the following aspects. One is to establish a knowledge graph for book users, with the aim of enhancing the correlation between users' search keywords and book information matching in the massive amount of search information, which is divided into three stages: knowledge extraction, knowledge fusion and knowledge processing; The second is to build the user profile, with the aim of exploring users' interests and preferences, including the basic user information (such as username, gender, age, occupation, location and so on), user log data (such as user browsing records, search records, borrowing records, etc.); The third is to establish the association of the knowledge graph and user profiles for book recommendation to improve the efficiency of library retrieval.