Reviewerly/exHarmony huggingface dataset:
USING THE CASE TECHNOLOGY IN PROFESSIONAL TRAINING&#x0D; OF BACHELORS OF SOCIAL WORK

The article is devoted to identifying the features and advantages of using the case technology in the organisation of the educational process for students of the “Social Work” study field. The authors of the study identified and analysed the main advantages of using the case technology in higher education, as well as the main criteria for evaluating students’ solutions of case tasks. In addition, to substantiate the relevance of the organisation of the educational process based on the case technology, the authors conducted an expert survey.
Kontribusi Media Powerpoint Interaktif dan Model Problem Based Learning terhadap Hasil Belajar IPAS SDN 2 Kalanglundo

The learning outcomes of grade IV students have not shown the expected results. This is because learning tends to be teacher-centred. This study aims to determine the learning outcomes of grade IV students of SDN 2 Kalanglundo Grobogan through Interactive Powerpoint media and Problem Based Learning learning models. This type of research is quantitative, with an ex-post facto design. The population of this study was all grade IV students of SDN 2 Kalanglundo, Ngaringan sub-district, totaling 40 students. The sample of this study amounted to 36 students using the Probability Sampling technique. The data collection method is carried out by questionnaire and documentation methods. The result data that have been obtained are analyzed using normality tests, simple linear regression, multiple linear regression, t-test, f-test, coefficient of determination, effective contribution, and relative contribution. The results of the study showed 1) Interactive Powerpoint learning media had a significant effect on learning outcomes, with tcount = 3.598 &gt; ttable = 2.02. 2) The Problem Based Learning learning model has a significant effect on learning outcomes, with the results of the t test, showing that the value if tcalculate = 3.519 &gt; ttable = 2.10. 3) There is a joint influence between Powerpoint learning media Interactive and Problem Based Learning learning model on learning outcomes, with the results of Fcalculate = 10.014 &gt; Ftable = 3.19.
The Impact of Security Orchestration, Automation, and Response (SOAR) on Security Operations Center (SOC) Efficiency: A Comprehensive Analysis

Security Operations Centers (SOCs) are the backbone of an organization's cybersecurity defense, responsible for monitoring security events, detecting and investigating incidents, and responding to attacks. However, SOC teams often need help with the challenge of being overwhelmed with alerts and incidents, making it difficult to keep pace with the evolving threat landscape. This can lead to delayed incident response times, increased risk of compromise, and a weakened overallsecurity posture.&#x0D; Security Orchestration, Automation, and Response (SOAR) have emerged as promising technology to help SOC teams enhance their efficiency and effectiveness. SOAR platforms offer the capability to automate tasks, streamline workflows, and provide a single pane of glass for managing security operations. This can enable SOC teams to reduce their workload, improve their response times, and make better decisions.
Research on Construction of Chinese-English Translation Word Frequency Database Based on Machine Learning

Artificial intelligence (AI) is developing rapidly and changing the aspects of education and learning. In this context, how to refine and organize the existing basic database of English-Chinese high-frequency words with technologies such as the Internet, big data, and AI needs to be explored to improve the development of teaching materials and research-related links. In this study, the historical lineage of the combination of English-Chinese translation of high-frequency words and AI was investigated by considering the current status of the application of AI technology in education. The value and significance of AI for judicial adjudications were determined by applying Bayesian and Python tools to corresponding strategies in the translation of words. AI in natural language processing was used to extract high-frequency words and construct a high-frequency vocabulary database to support applications such as language learning and translation in popular Chinese websites. Chinese English textbooks with different levels of difficulty were longitudinally compared to manifest the complexity of these vocabularies as well as the characteristics of the vocabulary distribution and word frequency levels. By analyzing the corpus, the AI English-Chinese translation of the high-frequency lexicon of the Bayesian algorithm was found to be effective and greatly improve the efficiency of the translation.
Otaku Dadakan: Studi Kasus Penggemar Anime One Piece di Kalangan Mahasiswa

nime (Japanese animation) which currently become popular in the community has resulted in the emergence of various anime products, such as action figures, posters, comics, and even animated films. One of the most popular anime is One Piece, and its rabid fans are known as anime otaku. This anime otaku phenomenon not only occurs in Japan, but also throughout the world, including Indonesia. This article deals with newcomers who are interested in popular anime, and call themselves otaku, labeled as impromptu otaku by anime otaku.&#x0D; Using a qualitative approach, this research was conducted through social media Instagram and TikTok. The research informants were ten students, who came from public and private universities in the city of Makassar. They consist of six men and four women, whose age range between 19 and 25 years. Data was collected using in-depth interview and observation techniques.&#x0D; One Piece is one of the anime that has a high rating and is the most popular anime of all time. For impromptu otaku, this is considered as “the king of anime", so that fanaticism towards anime is only focused on the One Piece anime, even though there are many other anime that also have high ratings. While anime otaku are not just fans of one anime. In the process of choosing anime One Piece, a person goes through three stages, namely selection, interpretation, and reaction stages. One of the aspects that makes One Piece as an interesting anime for otaku is how One Piece is able to raise spirits through motivational words uttered by certain characters in the One Piece anime. The identity of impromptu otaku is shown through their involvement in various activities, showing that they are fans of One Piece anime, namely following One Piece developments on the internet and social media, collecting One Piece-themed merchandise, and joining the fan community. This indicates that impromptu otaku realizes their "class" when compared to anime otaku. Thus, by participating in related activities they hope to be aligned as anime otaku.
Using Machine Learning Models to Evaluate the Quality of Text Documents

This results of a study on the use of the machine learning method in the processing of text documents to assess the quality of students' written work are presented. Reviewing students' written work, such as exam essays or lab reports, can be quite a time-consuming process, although reviewing such as term papers has become a common time-consuming practice. One of the common problems that arise when evaluating text documents can be the low quality of the source data, which does not comply with the document formatting rules. During the experiment, data was obtained, consisting of several works for testing. The quality assessment indicators used in this study are the compliance of the explanatory note with the structural elements of the document. The best fit model for scoring has been validated against several machine learning algorithms and techniques such as k-nearest neighbors (kNN), support vector regression (SVR), and random forest. The result of the comparison shows that, having advantages in the learning process, kNN provided the highest prediction accuracy. The learning results of all algorithms are clearly presented in tables and graphic illustration
Research on the Development Strategies of Physical Education in Chinese Universities from the Perspective of People’s View

People’s view; College sports; Strategy
Pengembangan Media Pembelajaran Berbasis PJBL Pada Mata Pelajaran Akuntansi Perbankan Syariah Kelas XI LPS di SMK

The idea of learning activities, which includes approaches or techniques that have tremendous potential as facilities to support educational activities for students, is a crucial notion. The media serves as a bridge between the teaching and learning processes so that students may grasp the subject matter. This research study aims to develop learning facilities in the form of learning media or learning on a Project Based Learning (PJBL) basis, to assess the viability of Project Based Learning (PJBL) based learning media, and to assess student reactions to learning media on a Project Based Learning (PJBL) basis that was focused on Banking Accounting lessons in class XI and more specifically directed to semester II learning. The ADDIE research approach, which stands for Analysis, Design, proposed by Branch (Development, Implementation, and Evaluation). Students from class XI as Sharia Banking Services (LPS) at SMK Negeri 2 Mojokerto served as the subjects of the media trial in learning activities on a Project Based Learning (PJBL) basis. The study's findings show that project-based learning media receives expert evaluations with a value of 91.5%, which is referred to as the "Very Eligible" category, expert evaluations from media experts with a value of 96%, which is referred to as the "Very Eligible" category, and responses from students after being a user with a value of 97.4%, which is also referred to as the "Very Eligible" category
Odd and Even Codes Existence with Repetitive Formation Codes On the Ring F2 [v] / [v2 -1]

In this study, on the ring F2[v][v2 −k]⁄ to be in the situation condition with k = 1 has been studied . This the four elements ring special conditions under code clusters written ( special generators by giving ). More later this four elemental set with binary fields between relationship was established . More before published by M. Özkan and F. Öke titled Repeat Codes, Even Codes, Odd Codes and Their Equivalence [16] from his work was used. In [16], the study k = 0 aspect has been studied . Here we wrote working different of type ring structure with different generators with codes with k = 1 condition . After that this of codes, odd and even whether they are double or not is classified . Defined generators with get made codes; odd code or which odd to the code equivalent is similar way even code or which even to the code equivalent is presented. Repetitive formation of codes, odd and even with codes similarities and from their equivalences has been mentioned. More later examples by giving studied code of sets Which of type to codes opposite was brought were studied. Examples with repetitive formation of codes and equivalent of codes application were given.
TOOLS FOR THE FORMATION OF SOFT SKILLS IN FOREIGN LANGUAGE EDUCATION

The article is devoted to the problem of the formation of soft skills in the process of teaching a foreign language. Modern workers are characterized by greater autonomy in decision-making, as well as fewer repetitive tasks and the need to work with people at all levels of labor organization. Such changes require an additional new set of skills for the members of the organization. As a result of the alignment of the traditional organizational hierarchy, employees at all levels must now possess “soft” skills. Today, the problem of the formation of soft skills remains relevant due to the insufficient study of this issue in the pedagogical literature. Soft skills are not a pedagogical problem, but belong to the sphere of interests of psychology. Therefore, the search for methods and technologies for the formation of these skills is still relevant. Soft skills are an important part of the professionalism of a specialist of any profile. The concept of “soft skills” has a broad interpretation, however, both European and Russian researchers of this problem identify a number of common features for all definitions, namely: communication, critical thinking, problem-solving ability, creative thinking, ability to cooperate, time management, ability to work in a team, leadership. Soft skills are a set of supra-professional skills and personality qualities that are in demand in the labor market for the effective implementation of professional competencies.The author of the article describes the ways of their formation: direct and indirect. Analyzing his own pedagogical experience, the author offers two tools for the formation of soft skills in the process of teaching a foreign language. A trend session is an effective way of organizing group work aimed at developing such important skills as the ability to communicate, work in a team, and the ability to organize effective cooperation. Foresight technology is aimed at developing the skills of foreseeing the development of the situation, planning and organizing cooperation.
Pengembangan Pembuatan Laporan Keuangan Dengan Ms. Excel Pada UMKM: Menuju Manajemen Keuangan Yang Profesional

The weakness of MSMEs in managing finances is characterized by unsystematic recording of business transactions. The development of financial reports using Ms Excel aims to make it easier for MSMEs to make financial reports to make decisions. The development design used is ADDIE. The research sample was taken from 15 MSMEs engaged in production, so the sampling technique used purposive sampling technique. The results showed an average overall item score of 0.876 (88%), meaning that the use of Ms Excel for financial reports is included in the criteria for very practical use. The effectiveness score of 0.864 (86%) means that the use of Ms. Excel for financial reports is included in the criteria very effective
A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems

E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation problem. To the authors’ knowledge, no study has provided a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems based on Blockchain. Consequently, this study proposes and discusses a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems, utilising the SFS-FWZIC method to address the significance of properties issue and the Grey-TOPSIS method to tackle data variation, multiple evaluation properties, and the ideal solutions optimisation problem. The methodology of the proposed approach consists of three sections. First, three decision matrices are constructed based on the intersection of E-health systems with the mentioned properties, intersecting Electronic Health Records (EHRs), Electronic Medical Records (EMRs), and Personal Health Records (PHRs) with seven properties. Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. Finally, the weights determined by the SFS-FWZIC method and the three decision matrices are input into the Grey-TOPSIS method to rank E-health systems across the three categories. The findings reveal the following: (1) The SFS-FWZIC method effectively assigned weights to privacy and security properties, with access control achieving the highest significance weight (0.1934) and Secure-search receiving the lowest weight (0.0603). (2) The Grey-TOPSIS method efficiently ranked E-health systems across the three categories based on various parameters, including α=0.1,α=0.3,α=0.5,α=0.7, and α=0.9. Sensitivity and correlation analysis were conducted to evaluate the results, revealing high correlation results based on each α value across all discussed scenarios of changing property weights. The implications of this study can lead to better decision-making, improved security and privacy, increased competition, and widespread adoption, ultimately contributing to more efficient and effective healthcare delivery.
Possibilities of Organizing a Server, Chat and Security in Developing an Educational Information Portal Based on Machine Learning in the Educational Process

Everyday information technologies create new opportunities for developing any industry in the world. Most of these opportunities are related to the development of machine learning. With the help of machine learning technology, it is possible to adapt the educational process to each student and build an individual trajectory. This article discusses the possibilities of creating an information educational portal for students using machine learning technology. The report aims to create an information portal using machine learning technology's capabilities and consider measures to ensure its security. The structure of the information portal includes a biometric system necessary for registration in the doorway, a chatbot, feedback on the portal's organization, theoretical materials, practical work, independent work, and video content. Experimental work began with students of the educational programs «6B01511-Informatics», «7M01511-Informatics», «7M01525-STEM education», «8D01511-Informatics» of the L.N. Gumilyov Eurasian National University and continues with students of the leading universities of the republic.
Fast, High-precision Subregion Stereo Matching Method

A fast, high-precision subregion stereo-matching method was proposed to mitigate the conflict between the precision and matching speed of the existing methods. First, initial matching was carried out using grids with fixed spacing, and a Delaunay triangulation network was constructed. The network was refined based on the weighted center of gravity of the triangles, and the matching grid points and refinement points were included in the support point set. The accurate disparities of the support points were determined via quadratic approximation. Then, the grids were divided into two parts, i.e., edge regions and non-edge regions, according to the disparity of their vertices. For the edge regions, the edge disparities were generated to create the initial disparity planes, and disparity propagation and normal vector optimization of each pixel in the propagation region of edge expansion were carried out. The matching cost was calculated according to the hue and grayscale gradient difference using the hue, saturation, and value (HSV) as the weighting factors. For the non-edge regions, the disparities were determined by quadratic approximation of the initial values obtained by linear interpolation of the grid vertices. Last, the disparities of the edge and non-edge regions were fused to obtain the optimal disparity of the whole image. Four pairs of stereo images in the Middlebury dataset were used for testing, the results of which were compared to those of the PatchMatch stereo (PMS), stereo gait feature (SGF), consistent stereo matching (CSM), and global edge constraint (GEC) algorithms with satisfactory matching performance. The results showed that the proposed method had a promising matching performance on both the smooth disparity regions and the edge disparity regions, and the matching accuracies in terms of non-occ and disc were better than those of the other methods. In particular, the disc index was 1.22% lower than that of the suboptimal method, and the matching time is 79.09% and 30.61% shorter than those of PMS and SGF, respectively. Thus, the proposed method realized a fast, high-precision stereo matching.
Chatbot in business

The cost of today's employee education is extensive, but also dynamic due to the global challenges of business that encompasses each activity. The special expression of the aforementioned is outlined in the elements of customer support provided to visitors or potential clients through the websites of companies or other institutions. In order to somewhat bridge the gap of new training and training of customer support, companies are forced to seek new models of communication with users and resolve their inquiries as soon as possible. As a solution, the implementation of chatbots in websites is imposed as the first phase of communication with users and the resolution of simple queries by users. Full business automation is a constant focus of corporations precisely because of the global market and increasingly demanding clients. The last year has been marked by the increasing availability of artificial intelligence, advanced computing, or big data processing. The orientation of this technology towards customer satisfaction, and through the use of advantages of chatbot as a "first line" of conversation with visitors enables unprecedented functionality. Through research of available literature and publicly available examples of good practice, the advantages, and disadvantages of implementing chatbots as a substitute for customer support will be observed.
PENGAPLIKASIAN UJI T DALAM PENELITIAN EKSPERIMEN

Research is a scientific activity to examine and approve the theory or assumption. In examining assumption, research needs approach and method. Researcher should determine not only the appropriate approach but also the right method to manage finding of research. One of the methods used in quantitative research is T Test. T Test could be used in experimental research design. This study is aimed at exploring the experimental research design by using T Test. This study is a literature review. The result of this study explained the concept of T Test, the concept of experimental research, and the application of T Test in experimental research. The T Test is applied to examine the hypothesis in experimental research
Risks related to cryptocurrencies

Investors and service providers in the cryptocurrency market are exposed to significant risks. High volatility, technological characteristics and anonymity create: investor risk, risk associated with money laundering and financing of terrorism and systemic risk. The market is full of fraudsters and there are too few adequate rules to protect investors and prevent market manipulation and insider trading. Also, the value of cryptocurrencies is very volatile, and their prices change from day to day. Investors in cryptocurrencies are exposed to higher risks of loss than investors in other assets. Cryptocurrencies can potentially be used for money laundering and financing of terrorism. Negative consequences can be reflected through economic as well as overall social disruptions that manifest themselves through disruption of the monetary system, economic and social stability, transparency and efficiency of the financial system, etc.
On fuzzy labeling of cycle with k-parallel P_s and C_s chords

Fuzzy Labeling is one of the emerging areas in fuzzy graph theory. In this article, fuzzy labeling of cycle with chord related graphs like cycle with parallel chord, cycle with -parallel chord, cycle with -parallel chord are investigated.