Reviewerly/exHarmony huggingface dataset:
OntoFoCE and ObE Forensics. Email-traceability supporting tools for digital forensics

This paper shows the research conducted to respond to a continuous requirement of justice regarding the application of scientifically supported forensic tools. Considering ontological engineering as the appropriate framework to respond to this requirement, the article presents OntoFoCE (Spanish abbreviation for Ontology for Electronic Mail Forensics), a specific ontology for the forensic analysis of emails. The purpose of this ontology is to help the computer expert in the validation of an email presented as judicial evidence. OntoFoCE is the fundamental component of the ObE Forensics (Ontology-based Email Forensics) tool. Although there are numerous forensic tools to analyze emails, the originality of the one proposed here lies in the implementation of semantic technologies to represent the traceability of the email transmission process. From that point on, it is possible to provide answers to the items of digital evidence subject to the expert examination. These answers make it possible to support these evidence items in the forensic analysis of an email and to guarantee the gathering of scientifically and technically accepted results that are valid for justice. Thus, the research question that is tried to be answered is: Is it possible to apply ontological engineering as a scientific support to design and develop a forensic tool that allows automatic answers to the evidence items subject to the expert examination in the forensic analysis of emails?&amp;nbsp;
Comparing Machine Learning Techniques for Hourly Solar Power Generation Prediction

Accurate prediction of solar power generation is crucial for optimizing the integration of renewable energy into the grid and promoting its efficient use. In this study, we compare the performance of three machine learning techniques - Random Forest Regression, Gradient Boosting Machine, and Artificial Neural Network - for predicting hourly solar power generation in a region in Germany, using a dataset from the Open Power System Data website. The models were evaluated based on their R-squared value, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). Our findings indicate that Random Forest Regression outperforms the other techniques, demonstrating its robustness to noise, effective feature selection, and ensemble learning approach. The results have practical implications for grid management, energy storage planning, investment decisions, and policy development in the renewable energy sector. We acknowledge the limitations of our study, such as the limited dataset and basic feature engineering techniques and suggest future research directions to further improve solar power prediction accuracy, including exploring additional variables, advanced feature engineering methods, and alternative or hybrid models.
Diagnostic Assessment Fraud Control Plan in Sagulung Sub-District: Batam City

The purpose of study is to find out how Sagulung District is prepared to implement the Fraud Control Plan (FCP) through a diagnostic assessment with 10 FCP attributes. This study uses a qualitative methodology, the method of collecting data through direct interviews and filling out questionnaires to
Soft Skills as a Mainstream Vector in the Library Industry

The aim of the article is to highlight the potential, relevance and practical value of soft skills as a component of the success of libraries, as well as to outline the algorithm of actions to improve the practical application of extra-professional skills in the multifunctional activities of the library industry; to recognize capabilities and products of soft competencies as urgent in the period of resistance to the Russian invasion and competitive in the digital society environment.&#x0D; Research methods are based on the effectiveness of the application of general scientific and special methods, in particular: methods of analysis, synthesis, logical method, terminological analysis, structural and genetic method, system and complex method, aspect analysis, etc.&#x0D; Scientific novelty of the study consists in an extended analysis of soft skills elements application in the formation of innovative models of library–user relations, taking into account civilizational challenges, the military state in the country, as well as the emphasis on key aspects of today’s relevance: challenges, categories, needs, approaches and models.&#x0D; Main conclusions. The study examines the resourcefulness of soft skills components as integral options of success. Developments and the potential of using skills to increase the pace of trendiness and reveal opportunities in the library industry are considered. It has been proven that the practice and creativity of applying soft skills components in libraries on a permanent and long-term basis are especially relevant during the period of martial law; effectively demanded according to the theory of generations; form a new focus; have substantive leadership in the library and information industry; prevent both professional and industry destructiveness. The above is the significance of the libraries transformation, taking into account library practices and modifications of library activity. Further key priorities are grounded, as well as emphases for overcoming obstacles on the way to the library specialist’s success in the effective application of soft skills are substantiated.
Enhancing Early Elementary Literacy Education with Flippity Tool: challenges, opportunities, and solutions

Active methodologies and gamification play a crucial role in engaging and motivating children, providing an interactive and meaningful learning experience. This experience report aims to describe and present the challenges and opportunities of using games to aid the literacy process in the early elementary school years. It also explores how the use of the Flippity digital tool can contribute to this process. To complement this report, we carried out a narrative review of the literature on the subject to enrich the reflection. The results show that using games with children in the literacy phase can bring good results and provide pleasant moments related to learning.
Establishment of Scientific and Pedagogical School of Educational Speciality “Information, Library and Archival Studies” at Kyiv National University of Culture and Arts

The aim of the article is to perform an analysis of content aspects of scientific research as fundamental ideas that form the basis of establishing the scientific and pedagogical school of educational speciality “Information, library and archival studies” at Kyiv National University of Culture and Arts. It can be reached on the groundwork of semantic analysis of the scientific publications document flow, thematically dedicated to the field of library, document and information activity and training of the relevant profile specialists.&#x0D; Research methods are general scientific methods of cognition (analysis, synthesis, abstraction). The research used the method of grouping publications according to certain characteristics, which made it possible to receive conclusions in peculiarities of each group; the systematic approach was applied to researching the educational speciality “Information, library and archival studies” functioning as an educational system.&#x0D; Scientific novelty lies in the fact that relevant investigation clusters were identified in the scientific research programme of educational speciality of ILAS (IBAS) at KNUCA (KNUKiM), which conceptually outline the necessary directions of scientific study and further systematic formation of the scientific and pedagogical school for training specialists in document and information profile.&#x0D; Main conclusions. A necessary condition for functioning of the scientific and pedagogical school in educational speciality, as well as its system forming factor is a scientific research programme, which is determined by the content of educational speciality “Information, library and archival studies” in accordance with the current standard.&#x0D; Studying clusters in the scientific and research programme of forming the scientific and pedagogical school of the ILAS (IBAS) speciality are presented in such aspects:&#x0D; − identification of theoretical and methodological foundations of the library, documentary and archival education development;&#x0D; − substantiation of theoretical and methodological foundations of the innovative educational and professional programmes development;&#x0D; − development of the subject field of the professional’s activity in speciality “Information, library and archival studies”;&#x0D; − scientific concepts, methods, approaches as bases of constructing the system of subject knowledge in the educational component;&#x0D; − theoretical and methodological substantiation of the content and methods of teaching the educational components of the curriculum.
Library Science and Library Sphere in Conditions of Martial Law in Ukraine

The aim of the article is to research main tendencies in the development of scientific studies and priority directions of library practice in conditions of martial law in Ukraine, using the example of publications in the journal “Bibliotechnyi visnyk” (“Library Bulletin”).&#x0D; Research methods. The article embraces a complex of approaches of scientific knowledge (objectivity, connection between theory and practice); the principle of unity and interconnection with current conditions; cognitive, structural-functional, descriptive and source studies methods, as well as analysis and synthesis.&#x0D; Scientific novelty. For the first time, the content of the scientific-theoretical and practical journal “Bibliotechnyi visnyk” (2022–2023) is presented as an integral component of the progress of Ukrainian library science, and as a basis of functioning the state’s library sphere. It is argued that in conditions of martial law in Ukraine, library science and library sphere have been developing according to all-Ukrainian tendencies.&#x0D; Main conclusions. The use of modern information and communication technologies in the publishing activity of V. I. Vernadsky National Library of Ukraine, as the founder and publisher of the scientific-theoretical and practical journal “Bibliotechnyi visnyk”, in conditions of martial law in Ukraine, has contributed to the apropos initiation of the library community and the world (the mentioned above journal is distributed to 25 countries by international book exchange), with the main development trends of scientific studies and modern areas of library practice in Ukraine and abroad. In 2022–2023, the themes of publications in “Bibliotechnyi visnyk” journal are determined by diversity and topicality, as they reveal the main directions, represent the leading main tendencies in the development of library science and library sphere in Ukraine and abroad, as well as demonstrate the growing role of libraries in the digital era. In conditions of martial law in Ukraine, publications on the mentioned topics, including the experience of foreign libraries, have become relevant.
“Ulpianus scripsit”? Using Artificial Intelligence for authorship attribution of ancient Roman law texts

The present article seeks to demonstrate the usefulness of artificial intelligence for the exploration of the sources of Roman law. In a small experiment, a so-called support vector machine was employed to determine to which Roman jurist a given source text can be attributed. While the results were not perfect, they are sufficient to show the potential of new technologies for future research in the area.
INNOVATIVE EDUCATION - IMPACT AND BENEFITS ON REGIONAL DEVELOPMENT

In various fields or areas of human activity, innovation is used and interpreted differently. It is certain that without innovation no change occurs. In the educational field, innovation is a complex subject that needs to be studied from several aspects and at several levels: at the level of individuals who make the change or who motivate others to innovate, at the social, environmental, and economic levels, where some innovations are accepted and encouraged, and others are inhibited and undervalued. The aim of this study is to analyze the types of innovations in education and highlight the impact of innovations implemented in higher education institutions both at the institutional level and in social and economic environments. Several cognitive, analytical, comparative, and statistical methods were used to carry out the research and to reach the goal. The importance of this article lies in the broad approach of innovation in education, especially in higher education, and its impact on the social, economic, and cultural development of the region.
The unverified era: politicians’ Twitter verification post-Musk acquisition

This note discusses the impact of changes made to Twitter after Elon Musk’s acquisition of the company, specifically focusing on the verification of politicians’ accounts. With Twitter serving as an essential source of information, the blue badge of verification has provided assurance of account legitimacy. However, as of April 2023, blue badges were removed from the accounts of users without a Twitter Blue subscription. This note analyzes the verification status of politicians’ accounts before and after the changes and finds that over 80% of previously verified politicians have lost their verification. The study used a dataset of 5,156 Twitter accounts of current or former members of parliament in 32 European countries. The note also highlights that the new gray badge, which was introduced to replace the blue badge for politicians and government organizations, is not widely awarded, except in the United Kingdom where members of parliament have a gray badge.
Assessing the Implementation of Kampus Mengajar Program: A Comprehensive Evaluation of Relevance, Efficiency, Effectiveness, and Impact

This study aims to evaluate the implementation of the Kampus Mengajar Program, especially at the Faculty of Economics and Business (FEB), State University of Malang. The research subjects were 97 FEB students who participated in the Kampus Mengajar Program from batch 1 to batch 5. Evaluation of the Kampus Mengajar program is needed to determine the suitability between the goals and targets designed and the program's implementation in the field. The data collection method was carried out by distributing evaluation questionnaires consisting of 19 statement items covering aspects of relevance, effectiveness and efficiency, and program impact. The results of data analysis showed that 44.33% of respondents assessed the program as relevant to the initial objectives, 45.59% of respondents set that the implementation of this program was efficient and effective, and 43.45% of respondents assessed that the program had an impact on increasing their knowledge and teaching skills. The results of this evaluation can be used as an impetus so that stakeholders can improve and increase the program's quality so that the output obtained is maximized.
Examining the Effect of Transformational and Transactional Leadership Styles on the Innovative Work Behavior:

Abstract The study aimed to examine the effect of transformational and transactional leadership on employees' innovative work behaviour. To broaden the concept and understanding of the study, the literature was reviewed. The study used an assessment and correlational research design and therefore, a weighted mean was used to assess the level of transformational and transactional leadership styles, while the ANOVA was used to measure the correlation between leadership styles and innovative work behaviour of the employees. The population of the study was the administrators and employees of the Divine Word College of Laoag. The questionnaires were used to gather the data. The study found that administrators' transformational and transactional leadership styles are high but not very high. There is a significant correlation between transformational and transactional leadership styles and the employees' innovative work behaviour. Both leadership have a significant effect on the innovative work behaviour of the employees. Therefore, the hypothesis of the study is accepted.
Policies to Overcome the Increase in Cyber Crime in The Era of Globalization Realize Public Security

Policies to overcome the increase in cybercrime in the era of globalization are a very important effort in realizing community security. The rapid development of information and communication technology in the era of globalization has opened up new opportunities for criminals to commit criminal acts
Efforts to Overcome Web-Based Phishing Crimes in the World of Cyber Crime

Phishing is a form of fraud used to obtain personal information, such as passwords, credit card numbers, and other financial information by impersonating a trusted entity or website. In the context of web-based phishing crimes, perpetrators create fake websites that often closely resemble the offici
Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

In order to improve the efficiency and accuracy of mobile robot visual image feature recognition, a mobile robot visual image feature recognition method based on machine vision is proposed in this paper. Firstly, the development of mobile robot vision is analyzed, and the specific functions of robot visual feature recognition method are designed; Then, the Fourier series method is used to collect the mobile robot visual image, and the matrix associated with the autocorrelation function is calculated according to the Harris algorithm to complete the edge feature extraction of the mobile robot visual image; SIFT feature points of mobile robot visual image are classified, and mobile robot visual image feature recognition is realized through machine vision. The experimental results show that when the number of images is 600, the accuracy of image feature recognition and the loss value of image edge feature extraction of this method are 96.98% and 6.38%, respectively, and the number of iterations is 500. The time of visual image feature recognition of this method is only 3 minutes; The method has the lowest error mean and error variance under different noise conditions. This method can effectively improve the efficiency and accuracy of image feature recognition.
Predictions using Support Vector Machine with Particle Swarm Optimization in Candidates Recipient of Program Keluarga Harapan

Program Keluarga Harapan (PKH) is a conditional social assistance program as an effort to alleviate poverty which is allocated to poor vulnerable households. The determination of candidates for the Program Keluarga Harapan assistance recipients is still carried out in village meetings, so it takes quite a long time and there is potential for subjectivity in the assessment carried out by Village Government officials which can lead to differences of opinion between deliberation participants in assessing the eligibility of residents as PKH recipients. For this reason, this research will use an optimization method, namely Particle Swarm Optimization (PSO) to select the most optimal attribute out of 39 attributes. After that, a classification algorithm, namely the Support Vector Machine (SVM), was chosen to form a classification model for Candidates for Social Assistance for the Program Keluarga Harapan (PKH). The classification of Candidates for Social Assistance Recipients of the Program Keluarga Harapan (PKH) was carried out in 2 experiments, namely before and after optimization. Experiments before optimization give an accuracy value of 92.44%. While the Support Vector Machine accuracy value after optimization gives an accuracy value of 92.51%. Based on the experimental results, it can be concluded that the Particle Swarm Optimization method can increase the accuracy of the Support Vector Machine algorithm by 0.07%. And the best model is the Support Vector Machine after optimizing Particle Swarm Optimization by using the 17 most optimized attributes in determining class targets.
Application of Agile Development Methods in the Development of Integrated Systems for Vehicle Body Repair

PT XYZ Auto Body Repair is a company that focuses on repairing and servicing vehicles, especially cars that have been involved in accidents or disasters. Currently, data processing still uses physical forms, which has proven to be inefficient because it takes significant time, labor, and resources. Collecting and inputting data from various forms requires a large effort, while systems that are not integrated cause delays in providing the required information. These challenges impact the company's ability to make decisions quickly and on time, especially in the face of increasingly tight and complex business competition. Therefore, an efficient and integrated solution is needed. Seeing this problem, it was decided to develop an integrated vehicle repair system by applying agile development methods, especially the Extreme Programming model. This approach allows development in an iterative, fast, adaptive manner, and actively involves users at every stage of development. Experience has shown that applying the Extreme Programming model can produce an integrated system that meets user needs in a short time. With this system, companies can produce reports quickly without reduplication or repetitive data processing. All parts involved in the vehicle repair process will be connected to one company server, creating the efficiency and accuracy needed to support business growth in a dynamic business environment.
Standardization of the Application Rules for Presumption in Aiding Cybercrime - From the Perspective of 1345 Judgments

The crime of aiding cybercriminal activities has shown an explosive growth trend in recent years, evolving to the risk of becoming a pocket crime. To address the existing challenges and issues with this crime, it is crucial to clarify the connotation and denotation of knowingly within the context of this crime and establish a set of relatively standardized and rational inference rules. Through a criminal law analysis of the term knowingly, judicial pathway reviews, and academic theory reflections, the term should be understood as know or clearly know. This interpretation aims to limit judicial scope and alleviate the pressure on the judicial system. The construction of a standardized set of inference rules for knowingly in the context of aiding cybercrime is both necessary and rational. Scholars, both domestic and international, have presented relevant theories, with the current trend favoring an objective-oriented approach complemented by subjective evaluation. After analyzing over a thousand case studies and combining related thoughts, the author proposes a Weighted Scoring Rule and offers several recommendations concerning the current judicial systems institutional design.
Application Of Theory Of Zone Of Proximal Development (ZPD) In Group Learning Context In Early Childhood

Vygotsky with the theory of the Zone of Proximal Development (ZPD) explains about learning models that prioritize social interaction activities between students and teachers and between students and peers during the process of learning activities to find problem solving. Learning with the group meth
Implementation Of The Index Card Match Strategy In Learning Indonesian Poetry Material In An Effort To Improve Student Activity and Learning Outcomes

The Implementation of the Index Card Match strategy in Indonesian subjects that the researchers used was basically the purpose of this study was to increase the activity and learning outcomes of students in social studies class V at MI YAPPI Planjan, Kesugihan District. The results were obtained whe
Implementation Of Discovery Learning Method To Improve Early Children's Learning

Early childhood is actually an active, creative and innovative learner, therefore educators are required to always develop learning methods so that children can express and explore more optimally. One of the methods applied in teaching and learning activities for early childhood is the Discovery Lea