Reviewerly/exHarmony huggingface dataset:
Preparing Big Manuscript Data for Hierarchical Clustering with Minimal HTR Training

HTR (Handwritten Text Recognition) technologies have progressed enough to offer high-accuracy results in recognising handwritten documents, even on a synchronous level. Despite the state-of-the-art algorithms and software, historical documents (especially those written in Greek) remain a real-world challenge for researchers. A large number of unedited or under-edited works of Greek Literature (ancient or Byzantine, especially the latter) exist to this day due to the complexity of producing critical editions. To critically edit a literary text, scholars need to pinpoint text variations on several manuscripts, which requires fully (or at least partially) transcribed manuscripts. For a large manuscript tradition (i.e., a large number of manuscripts transmitting the same work), such a process can be a painstaking and time-consuming project. To that end, HTR algorithms that train AI models can significantly assist, even when not resulting in entirely accurate transcriptions. Deep learning models, though, require a quantum of data to be effective. This, in turn, intensifies the same problem: big (transcribed) data require heavy loads of manual transcriptions as training sets. In the absence of such transcriptions, this study experiments with training sets of various sizes to determine the minimum amount of manual transcription needed to produce usable results. HTR models are trained through the Transkribus platform on manuscripts from multiple works of a single Byzantine author, John Chrysostom. By gradually reducing the number of manually transcribed texts and by training mixed models from multiple manuscripts, economic transcriptions of large bodies of manuscripts (in the hundreds) can be achieved. Results of these experiments show that if the right combination of manuscripts is selected, and with the transfer-learning tools provided by Transkribus, the required training sets can be reduced by up to 80%. Certain peculiarities of Greek manuscripts, which lead to easy automated cleaning of resulting transcriptions, could further improve these results. The ultimate goal of these experiments is to produce a transcription with the minimum required accuracy (and therefore the minimum manual input) for text clustering. If we can accurately assess HTR learning and outcomes, we may find that less data could be enough. This case study proposes a solution for researching/editing authors and works that were popular enough to survive in hundreds (if not thousands) of manuscripts and are, therefore, unfeasible to be evaluated by humans.
STUDY ON THE USE OF DIGITAL PLATFORMS

The explosive technological evolution of recent years has allowed not only a considerable reduction in the size of storage and data management devices but also the ever-higher performance of these devices and their ever-wider availability, so very easy access to ever-higher performance. The situation has enormous advantages, obviously, but it also requires precautions or at least rules for using and/or accessing the applications offered by this unprecedented advance in technology. This article presents a study on the use of platforms to determine what are the main reasons why people use platforms and what are the problems encountered, and possible solutions to solve these problems or to reduce their effects.
Hybrid Construction of Criminal Justice Towards Modern Justice in the Digital Era

The implementation of hybrid criminal justice is a change in the judicial paradigm from real space to a combination of real space and virtual space. This change clearly causes problems because it deviates a lot from the principles and norms of the Criminal Procedure Code as guidelines for the admini
The Development Status of IP Culture in China's Cultural and Creative Industries

This article analyzes the advantages and disadvantages of this emerging cultural and creative industry by studying the development of China's cultural IP industry, to make recommendations for the development of China's cultural IP industry in the future. At present, the hot concept of IP operation emphasizes the mining, incubation, and sustainable creation of IP value. IP has gradually become the core of the pan-entertainment ecosystem. IP attracts the first fans through high-quality original content, and extends to other areas through recreation, achieving exponential growth in the number of fans and horizontal expansion of the fan base. In this process, the influence of original IP diverges, promotes the interaction and integration between different industries, constitutes a good industrial ecology, and releases and monetizes the value of IP. The article analyzes the development of China's IP industry in detail in the past two years, through the redefinition, policy combing, analysis of industrial structure, development trends, and cross-industry integration. At the same time, this article also discusses the advantages of China's IP industry development, current problems, and solutions, which found the direction suitable for the future development of China's cultural IP industry.
Text extraction and recognition method for license plates

Text extraction from images has always been challenging, especially if the image is taken under bad conditions, like lightning and noise that can influence text detection and recognition. This paper introduces a novel text extraction and recognition technique applied to the case study license plates. The main idea of this study is to detect the license plate in an input image and try to figure out the original country of the car based on the license plate. To accomplish this task, we first started collecting images from the internet, which were about 100 images. Afterward, we extracted the license plate using machine learning methods. Subsequently, we applied k-means clustering as well as thresholding in order to segment the extracted license plate and make the character recognition task easier. Thereafter, a sequence of techniques were applied, such as resizing and cropping the image to limit the wanted area of the desired character we want to extract. The last part of the proposed method is reading the text from the image using EasyOcr method, and using the function find in order to search for the character or the word. his proposed method achieved satisfactory results in detection where we achieved an accuracy of 87%, and a recognition of 97%. As for finding the ‘word’ part, the algorithm succeeded in all the examples.
Multi-layered perceptron and its applications in biotechnology

Multi-layered perceptron (MLP) is the first artificial neural network with a complete structure, which is mainly used to perform the tasks of pattern classification and function regression. Its original idea was inspired by biological neural networks in animal brains. Based on the process of electrical signals traveling through biological neural networks, this similar structure was designed to receive, process, and transmit data just like the brain. Multi-layered perceptron uses a feedforward path to complete the prediction task and backpropagation to train itself and optimize its performance. Developing until now, artificial neural network pioneered by multi-layered perceptron has been closely related to our life, and many more advanced derivatives that are good at solving more complex problems have emerged. Although the development of multi-layered perceptrons belongs to artificial intelligence and machine learning, its applications can be helpful to researchers in diverse fields such as engineering, finance, and medicine. This paper will focus on multi-layered perceptron, introduce its developing history, network structure, and algorithm (mainly learning algorithm), and briefly discuss its application in the specific field of biotechnology.
Developing Children's Social Emotional Through Cooking Class Activities

The Social Emotional Aspect aims to foster children to be able to control their emotions naturally and be able to interact well with each other and with adults and be able to help themselves in terms of life skills, interact and adapt to their environment. Social emotional abilities in children so t
Improve Students' Literacy With Multiple Intelligence (MI) Approach

Every child have unique abilities. Due to the fact that each student has a different learning style, especially when it comes to reading and writing, this situation shouldn't be taken too seriously during the learning process. A teacher must employ specialized teaching methods that can assist studen
EFFECTIVENESS OF APPLICATION OF ECONOMICS FLIPBOOK E-MODULE LEARNING MEDIA WITH PROBLEM BASED LEARNING (PBL) LEARNING MODEL IN IMPROVING LEARNING OUTCOMES OF CLASS X STUDENTS OF SMAN 3 MOJOKERTO CITY

Based on initial observations, researchers found that the majority of students had difficulty learning Economics material because there was a lot of material to study, so they became passive in participating in learning activities. Many of them are less interested and are busy with other activities such as playing on their cellphones, feeling sleepy, or chatting alone with friends. This has an impact on student learning outcomes. To overcome this problem and create technology-based 21st century learning and increase students' understanding in aspects of knowledge, research was conducted with the aim of testing the effectiveness of implementing the economic flipbook e-module learning media using the PBL learning model in improving the learning outcomes of class X students at SMAN 3 Mojokerto City. The sample for this research consisted of students in classes X4 &amp; X5, totaling 36 students. The research method used is a descriptive quantitative approach with experimental research using the One Group Pretest-Posttest Design model. This research model consists of two groups, namely the experimental group and the control group. Students from both groups were given pretest and post-test questions. The results of the N-Gain score test show that the average score of the control group did not show a significant increase and was less effective in improving student learning outcomes. The average N-Gain Score value in the control group was 0.41 or an N-Gain Score (%) of 41.09%, so it was categorized as moderate and interpreted as less effective. Meanwhile, the experimental group showed different results. Their N-Gain Score value is 0.85 or N-Gain Core (%) of 85.42%, so the use of economic flipbook e-modules with the Problem Based Learning (PBL) learning model is categorized as high and interpreted as effective.
Forward Chaining Algorithm on Informatics Graduate Job Recommendation System Based on MBTI Test

The Myers-Briggs Type Indicator (MBTI) is a method for identifying an individual's personality type based on the psychological theory of Carl Gustav Jung. In the context of computer science students, they often face challenges in planning their academic journey and determining the direction of their career development during their studies, causing confusion when it comes to choosing a career path in the field of computer science in the future. To address these challenges, the researcher has developed a web-based expert system using the PHP programming language. This expert system is designed to make decisions based on a collection of user responses, which are processed using the forward chaining method, ultimately providing the user's personality type along with suitable career choices. The primary objective of the expert system is to assist students in making decisions regarding their studies and future careers. Through this research, the researcher has produced a functioning website capable of efficiently processing user responses and generating decisions regarding personality types and career options. Thus, this study provides a solution to aid computer science students in planning their academic and career paths.
Impact of Performance Appraisal on Faculty Satisfaction - A Conceptual Study

In educational institutions, performance appraisal is essential for evaluating faculty performance and providing feedback for improvement. This conceptual study examines higher education performance appraisal and faculty satisfaction. The study acknowledges that faculty satisfaction is a key factor in institutional success and that good performance appraisal methods influence it. The primary goal of this study is to examine how performance appraisal impacts faculty satisfaction. The study synthesizes literature on performance appraisal methods, faculty job satisfaction, and their interactions to reach this purpose. The study examines theoretical foundations and empirical evidence to create a conceptual framework for how performance rating techniques affect faculty satisfaction. The study's findings highlight the need for transparent, supportive, and developmental performance appraisal practices that nurture a positive work environment and boost faculty motivation and engagement.
University Students Attitude Towards STEAM Pedagogy

STEAM pedagogy also known as STEAM education. Before STEAM it was STEM, Georgette Yakman is credited with updating STEM into STEAM by adding the Arts domain. It is an educational approach that integrates Science, Technology, Engineering, Arts and Mathematics into an integrated curriculum. The aims of the STEAM Pedagogy are to develop an all-round individual who can think critically, solve complex problem, adapt to technological advancement and contribute to society through innovation and creativity. The study mainly focuses on STEAM pedagogy and students’ attitude towards STEAM. The study was mainly frame with five objectives which focused on the attitude towards SREAM among the PG Students. This study also categorized the attitude towards STEAM pedagogy according to demography variables like gender, stream and residential background of the learners (urban, rural). The study was used descriptive survey research design which covers 100 sample, selected through simple random sampling technique. Here the researchers used self-made Likert type five-point attitude scale for data collection and t- test was used for data analysis. The study provided many significant findings which mainly uncovered the attitude level of PG students towards STEAM pedagogy.
OPTIMIZING EVALUATION PRACTICES THROUGH RECONSIDERATION OF STUDENT ASSESSMENT STRATEGIES IN THE HYBRID UNIVERSITY ENVIRONMENT

The theoretical foundation of the research problem highlights both a series of choices and priorities of university trainers regarding the adoption of authentic assessing strategies enriched in the virtual environment, as well as certain limits, difficulties and costs entailed by computerized testing, some applications and electronic platforms, testing of new face-to-face assessment tools etc. The aim of the research was to identify those assessing strategies used by university trainers in the virtual environment, which have proven their effectiveness in the online assessment of students and which have been maintained and enriched to be applied in hybrid university training alongside other modern assessment techniques and tools. The research questions that guided the entire study were: What evaluative strategies did university trainers adopt in the virtual environment? What were the most effective assessment strategies adopted according to the specifics of the discipline, assessment objectives and competencies? How were hybrid assessment practices optimized by adopting the new distance assessment strategies? What preferences did students have in hybrid assessment? What advantages and disadvantages are highlighted in adopting such assessment practices? The research methodology brought together qualitative and quantitative research methods, techniques and tools. Main findings describe the particularities of the assessment at the end of the hybrid trainings, the specifics of the design of synchronous and asynchronous student evaluation tasks, the customization of assessment platforms used in electronic evaluation, the adoption of new assessment methods and the improvement of face-to-face assessment techniques and tools.
CONTENT OF VASYL LOBURETS’ SCIENTIFIC AND PEDAGOGICAL ACTIVITY

The article highlights the content of the scientific and pedagogical activities of the famous scientist-pedagogue, historian, local historian, and organizer of scientific work V. Loburеts. It is proved that the main feature of the V. Loburеts’ scientific and pedagogical activity was the harmonious integration of research and educational aspects. Based on the study of biographical, narrative literature, and archival materials, the main components are analyzed. They are the following: the development of the methodology of scientific and educational cognition (V. Loburets revealed the main principles of rational cognition of reality: objectivity in cognition, acceptance of the dominant role of practice in the process of cognition, holistic perception of science and the educational course, a harmonious combination of theoretical and practical aspects of cognition, the importance of the creative activity of the individual in cognition); improvement of the content, methods, and forms of teaching historical disciplines (V. Loburets improved the theoretical content of historical disciplines, which was based on the principles of scientific and cultural relevance, logical consistency, systematicity, integration of theory with practice, historicism, and the usage of the educational potential of academic disciplines); improvement of lecturing skills (V. Loburts’s lectures were characterized by scientific conceptuality, rational selection of material, logic and consistency, accuracy and flexibility of statements, optimal use of scientific terms, presentation of information that guides students’ self-study, and practical value for future activities at school). It has been determined that V. Loburets’s scientific and pedagogical activity had a general pedagogical and practice-oriented focus on the implementation of future teacher training.
AESTHETIC COMPETENCE OF APPLICANTS FOR HIGHER PEDAGOGICAL EDUCATION: STRUCTURAL AND FUNCTIONAL MODEL

The purpose of the article is to consider the pedagogical model of forming the aesthetic competence of future teachers by means of choreographic art, which combines structural analysis and functional modeling.&#x0D; The pedagogical modeling of aesthetic competence of higher pedagogical education students by means of choreography is considered as structuring the educational process for analyzing and managing it in order to solve current problems with a systematic approach.&#x0D; The proposed pedagogical model is a tool and conceptual framework that facilitates the understanding and explanation of the processes that occur during the formation of future teachers' aesthetic competence and reflects the effectiveness of the impact on their professional level.&#x0D; The purpose of the pedagogical model of forming the aesthetic competence of future teachers by means of choreographic art is to prepare the teacher for effective influence on the personal development of students.&#x0D; The result of the proposed model implementation is the achievement of a high level of development of the dynamic personal capacity of future teachers as carriers and creators of culture.&#x0D; The model includes the following blocks: goal setting, basic, organizational, implementation, and reflective.&#x0D; The structure of the pedagogical model reflects the interrelationships between the following elements: the purpose and result of the educational process; methodological approaches; pedagogical principles; stages, forms, methods, and techniques of teaching. The reflexive block of the model includes structural components, criteria for assessing levels of development, and diagnostic tools for analyzing the results of the formation of aesthetic competence of future teachers by means of choreographic art.&#x0D; The presented structural-functional model reflects the organization of aesthetic training of future teachers as a system in which the systemic factor is the interconnection and interdependence between the goal and the result of the pedagogical process.
ADVERTISING BIDDING OPTIMIZATION BY TARGETING BASED ON SELF-LEARNING DATABASE

The method of targeting advertising on Internet sites based on a structured self-learning database is considered. The database accumulates data on previously accepted requests to display ads from a closed auction, data on participation in the auction and the results of displaying ads – the presence of a click and product installation. The base is structured by streams with features – site, place, price. Each such structural stream has statistical properties that are much simpler compared to the general ad impression stream, which makes it possible to predict the effectiveness of advertising. The selection of bidding requests only promising in terms of the result allows to reduce the cost of displaying advertising.
Scientific documents metadata as a component of the system of the “open science” information resources

Open science is a movement that aims to make research results more accessible, including code, data, and scientific papers. It covers many different but often related aspects affecting the entire research life cycle, including open access to publications, open data of research, open source software, open workflows, public science, open educational resources and alternative methods of the research evaluation, including open peer review, expert reviews, etc. The key to effective application and integration of open science resources is their structured description based on the principles of completeness and necessity of meta-information, ease of use and interoperability. The units of such description are metadata. In fact, the quality of open resources begins with the quality of its metadata. This study does not cover the entire wide spectrum of open science resources. Its purposes are to define the system of characteristics that describe general and specific features of various types of scientific documents as a significant part of scientific knowledge of Open Science. To achieve the goal of the research it is defined a taxonomy of resources of open scientific documents and proposes an integrated system of their metadata. Proposed system of metadata is based on several classifier sets. It includes three major groups: internal characteristics – description of explicit features of the object of open knowledge (for example, the size or the type of the file), administrative characteristics – information about the object (authors, executers, etc.) and descriptive characteristics - information about the object’s content, its special features, links to other objects related to this. The metadata system is built based on the analysis of the existing metadata schemas and standards, search engines and digital libraries, and it takes into account similarity and specificity of each type of open documents.
Microaprendizaje: recorrido histórico del aprendizaje en fragmentos

&#x0D; &#x0D; &#x0D; Microlearning has its roots in traditional educational practices. Historically, there have always been short courses or concentrated forms of study. A qualitative approach was used to study the history of microlearning by reviewing documents and references. The research ends by leaving open the continuity of the evolution of the concept.&#x0D; &#x0D; &#x0D;