Reviewerly/exHarmony huggingface dataset:
Pengaruh Sarana Dan Prasarana Terhadap Motivasi Siswa Belajar Seni Budaya (Seni Musik)

This study aims to determine and describe how the influence of facilities and infrastructure on student motivation in learning cultural arts in class X MAN 2 Padang Panjang. This type of research is quantitative research using descriptive methods. Data collection techniques are carried out through questionnaires, as well as documentation. Data management techniques are editing, coding, scoring, tabulating data. Data analysis techniques are instrument tests and prerequisite tests. The results showed that there was an influence of school facilities and infrastructure on the learning motivation of grade X MAN 2 Padang Panjang students, X Koto District, Tanah Datar Regency. It was found that the influence of Facilities and Infrastructure on Motivation (Y) obtained the value of the coefficient of determination written R Square of 0.392 can be explained that the proportion of influence of Facilities and Infrastructure is 41.5% while the remaining 39.2% is influenced by other factors from outside the variables used in this study.
Steam-Based Loose Part Learning Media Can Build Independent Learning Early Children

This study aimed to analyze how learning media with loose-based media functions as an effort to build early childhood learning independence. This research used descriptive qualitative method. Research data collection techniques used observation and interviews. The research was conducted at TK Aisyiyah Bustanul Athfal 1 Wonosegoro with a total of 16 research subjects consisting of 11 female students and 5 male students. The research stages started from lesson planning to evaluation and follow-up learning. The research showed that learning with loose parts could provide freedom to play and build learning independence for early childhood. This can be seen in the increase in children's creativity, encouraging children to be active in learning, increasing children's independence, training children's ability to work together, and building of self-confidence in children. The teacher's strategy in taking advantage of the teacher's leeway is to organize a comfortable playing environment for children. Part of learning is that children can determine the play activities and materials they want.
A Filter-Based Improved Multi-Objective Equilibrium Optimizer for Single-Label and Multi-Label Feature Selection Problem

Effectively reducing the dimensionality of big data and retaining its key information has been a research challenge. As an important step in data pre-processing, feature selection plays a critical role in reducing data size and increasing the overall value of the data. Many previous studies have focused on single-label feature selection, however, with the increasing variety of data types, the need for feature selection on multi-label data types has also arisen. Unlike single-labeled data, multi-labeled data with more combinations of classifications place higher demands on the capabilities of feature selection algorithms. In this paper, we propose a filter-based Multi-Objective Equilibrium Optimizer algorithm (MOEO-Smp) to solve the feature selection problem for both single-label and multi-label data. MOEO-Smp rates the optimization results of solutions and features based on four pairs of optimization principles, and builds three equilibrium pools to guide exploration and exploitation based on the total scores of solutions and features and the ranking of objective fitness values, respectively. Seven UCI single-label datasets and two Mulan multi-label datasets and one COVID-19 multi-label dataset are used to test the feature selection capability of MOEO-Smp, and the feature selection results are compared with 10 other state-of-the-art algorithms and evaluated using three and seven different metrics, respectively. Feature selection experiments and comparisons with the results in other literatures show that MOEO-Smp not only has the highest classification accuracy and excellent dimensionality reduction on single-labeled data, but also performs better on multi-label data in terms of Hamming loss, accuracy, dimensionality reduction, and so on.
PERFORMANCES OF T. H. SHEVCHENKO STATE ACADEMIC UKRAINIAN DRAMA THEATRE, KHARKIV, BASED ON THE PLAYS BY MYKOLA KULISH AS ISOLATED ATTEMPTS AT SELF-IDENTIFICATION OF THE THEATRE DURING THE PERIODS OF FUNDAMENTAL SOCIAL CHANGES

The theatrical legacy of Mykola Kulich is significant for ‘T. G. Shevchenko’ Ukrainian Drama Theatre, Kharkiv, because he created his plays primarily for ‘Berezil’ Theatre. Despite the fact that over the next four decades the works by M. Kulish were artificially removed from the conceptual and artistic context of the theatre, on the eve and during the Independence of Ukraine and on the threshold of a full-scale Russian–Ukrainian war the plays of this author gain a significant influence on the development of the theatre ensemble again. The firSt performance based on a play by M. Kulish was ‟Sonata Pathétique” directed by Bronyslav Meshkis in 1972. In the years of Stagnation, this work had a special poetic soundscape, which diStinguished the vocabulary of M. Kulish’s work from the works of Soviet authors of that time. The play ‟That was how Huska perished” (1985) directed by Oleksandr Arkadin-Shkolnyk reflected the tendency of a certain philiStine crawling of the Ukrainian theatre againSt ‟the great Russian culture”: all the romantic songs in it were sung by the actresses in Russian. The production of ‟Mina Mazailo” (1989) directed by Oleksandr Biliatskyi played the moSt prominent role in the hiStory of Stage readings of M. Kulish’s works in ‘T. H. Shevchenko’ Theatre. The social vector of its orientation coincided with the tendency to rehabilitate the artiStic ideas of repressed Soviet figures during PereStroika, and the brightly theatrical ensemble culture recorded the desire of the young actors involved in it, Students of O. Biliatskyi, to fight againSt the “social-realist theatre” Stereotype. The experimental production ‟Maklena Grasa” (1993) directed by Stepan Pasichnyk was performed by only four actors and reflected the artiSt’s complex introspections on the hiStory of Ukraine of the la1t 70 years, personified in the image of Maklena, which allowed itself to be deceived by politicians. The moSt controversial, as if it had no specific concept, was the play “The ReformiSt” directed by Mykola Yaremkiv (2003) based on the tragic work ‟Narodnyi Malakhii”, which was not left in the repertoire. The premiere of ‟Maklena Grasa” directed by S.Pasichnyk on the main Stage of the theatre was prevented by the Start of full-scale invasion of the Russian army but the discourse of this performance was formed precisely under the influence of the diSturbing forebodings of the previous months.
Pengaruh Strategi Student Recap terhadap Hasil Belajar Anak di SMPN I Samudera

The formulation of the problem in this study is whether the effect of the Student Recap (student overview) strategy on learning outcomes in pai at SMPN 1 Samudera? This study aims to determine the effect of the Student Recap (student overview) strategy on learning outcomes in pai at SMPN 1 Samudera. The population in this study were all class VII students of SMP Negeri 1 Samudera. Sampling used a purposive sampling technique consisting of two classes with a total of 43 students, namely class VII totaling 20 students and class VII-B totaling 23 students, for the experimental class, namely class VII-A being taught. The use of student recap strategies for the control class, namely VII-B class, is taught using conventional methods. This research is quantitative research and the instrument used is a test in both classes with the same shape and weight. Furthermore, the collected data were analyzed using the t-test at a significant level α = 0.05. From the results of data processing, it shows that the experimental class with X1 = 72 and S1 = 13.31. While the control class with X2 = 62.82 and S2 = 15.13 so that t count &gt; t is 2.13 &gt; 1.684, then HO is rejected, and Ha is accepted. In other words, the learning outcomes of students who were taught using student recap strategies were higher than students who were taught without using student recap strategies.
SVR (Self-Video Recording) Technique to Enhance Self-Confidence in English Speaking Proficiency

This explanatory sequential mixed-method study tackles the English language proficiency challenge faced by non-English major students, emphasizing the critical role of the college phase in shaping the pre-professional skills of Indonesian youth. It aims to assess whether the Self-Video Recording (SVR) technique can boost the self-confidence of them when speaking English. The research directly assesses first-year students at Universitas Tidar. The primary focus is on evaluating SVR's positive impact on self-assurance in English communication. Based on the data compiled, there is a consistent trend in the responses from students who participated in both the questionnaire and the interview. Out of the 65 students, it was reported that their confidence levels increased after undergoing the interventions carried out by the research team. This indicates that the majority of students who reacted positively to the role-play exercises and the implementation of the SVR technique to enhance their confidence in speaking English are likely the same group of students. Hence, it is plausible to consider that the research participants who observed only a slight improvement cannot be solely attributed to external factors but may also be influenced by internal factors, such as a lack of interest in speaking English and other related considerations.
Audit Quality and Its Influence on Stakeholder Trust: A Qualitative Analysis

This qualitative study aims to explore the intricate relationship between audit quality and stakeholder trust in financial reporting. Through in-depth interviews with auditors, investors, regulators, and corporate executives, insights were gathered regarding perceptions, experiences, and expectations concerning audit quality and its influence on stakeholder trust. Thematic analysis revealed key dimensions of audit quality, including auditor independence, competence, objectivity, adherence to professional standards, and perceptions of audit effectiveness. Stakeholders emphasized the importance of transparent disclosure practices, accountability in corporate governance, credibility of auditors and financial statements, and regulatory oversight in fostering trust in financial reporting. The findings underscored the pivotal role of regulatory bodies, such as the PCAOB and SEC, in promoting audit quality, deterring fraudulent behavior, ensuring auditor accountability, and maintaining market confidence. Overall, the study contributes to a deeper understanding of the mechanisms shaping stakeholders' perceptions of audit quality and trust in financial reporting, with implications for market efficiency, investor protection, and corporate governance.
THE INFLUENCE OF WORK ENVIRONMENT AND ORGANIZATIONAL CULTURE TOWARDS JOB SATISFACTION: STUDY OF LITERATURE

Job satisfaction is a measure of the satisfaction level of workers with their type of work related to their job duties, the work achieved, the form of supervision obtained, as well as a sense of relief and feelings of liking for the work they are doing. This study aims to determine the relationship and role of work environment and organizational culture as factors that affect employee job satisfaction. The method used in this research is literature study using secondary data. The secondary data sources obtained are the results of previous research with related topics and published in accredited national journals in the period 2014 to 2022. The scientific articles analyzed were 30 articles. Based on the analysis of the literature review, the results reveal that work environment and organizational culture each have a positive and significant influence on employee job satisfaction.
Conclusions – SMMR in Practice

This concluding chapter discusses various aspects related to the use of SMMR: how does SMMR relate to existing advice for case selection; in which sequence should the different SMMR designs be applied; how should one choose among SMMR designs if all of them cannot be performed due to constraints (time, money, data, etc.); which types of sets (crisp or fuzzy) should one use when planning to perform SMMR; how can SMMR be fruitfully combined with theory evaluation, robustness tests, cluster diagnostics, and procedures that integrate time and temporality into the QCA? Learning goals: - Reflect on challenges in putting SMMR into practice - Understand the different ways in which to choose among the various SMMR designs - Learn about the implications of using different types of sets in SMMR - Develop ideas on how to combine SMMR with other, advanced tools in set-theoretic methods that share the feature of classifying cases - Further appreciate the full suit of SMMR designs as the yardstick for measures to be taken to strengthen descriptive and causal inference
Penyuluhan Mengenai Artificial Intelligence Untuk Siswa-Siswi SMP dan SMA Sekolah Lentera Harapan Medan

Artificial Intelligence (Artificial Intelligence or AI) is a field that is growing rapidly and has great potential in influencing various aspects of human life. AI education is important for the younger generation in facing future challenges. This study aims to teach the basics of AI to junior high school (SMP) students at Sekolah Lentera Harapan (SLH). Learning sessions are carried out using interactive methods and actively involve students in discussions. The material includes an introduction to AI, the history and purpose of AI, how it works, the types of AI, and the advantages and disadvantages of AI. AI needs data to come up with appropriate answers, and with time, it will learn and improve. There are three types of AI, namely Artificial Narrow Intelligence (limited AI), Artificial General Intelligence (general AI), and Artificial Superintelligence (super AI). The advantages of AI include fast data processing, job efficiency and handling of dangerous tasks. However, there are also drawbacks such as reliance on big data, limitations to the specific capabilities of AI, and security concerns. This research provides insight into AI and promotes optimal use of AI in society.
Faktor-Faktor Yang Membuat Maraknya Penggunaan Bahasa Asing Maupun Bahasa Gaul Dikalangan Anak Muda

This research was carried out with the aim of studying and researching the factors that cause the increasing use of slang among young people. This research method uses a qualitative descriptive approach and applies the literature study method. There are several factors that cause the widespread use of Prokem language or slang, namely the result of the rise of slang language appearing on sites that are often accessed by young people, interference or mixing of two languages, environmental factors, and finally the role of the media which also plays a role. be one of the factors.Keyword: Language, factors, young people
PRIMARY SCHOOL MATHEMATICS IN THE CONTEXT OF DIGITALIZATION

We consider the content and methods of teaching mathematics in primary school in the context of digitalization. The necessity of a significant updating of the curriculum is shown. In particular, this implies the use of digital tools as an object of study and a way to significantly improve the content and effectiveness of studying mathematics to really prepare children for the future life and work.
Practical based E-examination using the Arduino E-kit for STEM electronic and mobile learning

This paper presents the implementation of a practical-based E-examination using the Arduino E-kit for STEM (Science, Technology, Engineering, and Mathematics) electronic and mobile learning. The aim is to leverage the Arduino platform, which offers a versatile and cost-effective solution, to enhance hands-on learning experiences for students in STEM disciplines. The E-kit includes Arduino microcontrollers, sensors and actuators that are available and free in cloud-based software Autodesk Tinkercad. The practical-based E-examination involves students applying their knowledge and skills to solve real-world problems using the Arduino E-kit after working with it throughout the semester in class. The paper discusses the design and implementation of the practical E-examination, including the selection of appropriate tasks, assessment criteria, and evaluation methods. It also highlights the benefits of utilizing the Arduino E-kit for practical E-examinations, such as fostering creativity, problem-solving abilities, and critical thinking among students. The results of the implementation showed positive outcomes, with students demonstrating improved understanding of electronic concepts, enhanced programming skills, and increased engagement in the learning process. The use of the Arduino E-kit facilitates interactive and immersive learning experiences, enabling students to bridge the gap between theoretical knowledge learnt in class and practical real-life application. The integration of Arduino technology in practical E-examinations enhances the learning process, encouraging active participation and promoting a comprehensive understanding of STEM concepts.
Patch and Cluster-based Domain Adaptation for Person Re-identification

Unsupervised domain adaptation in person re-identification is a challenging task due to domain shifts between different datasets. Some cluster-based domain adaptation methods have made good progresses. However, most of these methods only focus on differences between global features while ignoring local features. In this paper, we propose a Patch and Cluster-based Domain adaptation (PCD) method. Specifically, we introduce the concept of patch-level local features and use spatial transformer to generate patches. We consider both global features (image-level) and local features (patch-level), so we get great accuracy. We evaluate our model on Market-1501 and DukeMTMC-reID. Extensive experiments show the efficiency of the method.
A Robust Sparse Nonnegative Matrix Factorization with Low Rank representation for clustering

Nonnegative Factorization Matrix has achieved excellent results in the field of data mining and machine learning. However, NMF and its extensions, use the least square error function, are sensitive to noises and simultaneously ignore some useful discriminant information in the error matrix. To tackle this issue, we propose a novel method, named Robust Sparse Nonnegative Matrix Factorization with Low Rank (RSLR-NMF), in this paper. RSLR-NMF can effectively remove any redundant information from the input data and extract the hidden information in the noisy error part based on Bilinear Error Matrix Decomposition (BEMD) module. RSLR-NMF takes into account reconstruction error matrix and low rank error matrix simultaneously with <Formula format="inline"><TexMath><?TeX ${\ell }_{2,1}$?></TexMath><File name="a00--inline1" type="gif"/></Formula> norm constraint and low rank constraint, respectively. Besides, elegant updating rules are presented to solve the proposed method. The experimental results on several data sets show that the proposed RSLR-NMF provides more faithful basis factors and effective clustering results.
Multi-view Video Splicing System

In traditional video surveillance systems, supervisors need to watch multiple surveillance images at the same time. Surveillance video resources are scattered and huge, making it difficult to browse them all and extract useful information from them in a timely manner. The video splicing system can be used to merge multiple images and splice and fuse images from different perspectives to form a whole image, which is convenient for personnel supervision. This article introduces a multi-view video splicing system: it consists of several video cameras. Through the GStreamer framework, video streaming is performed in real time and the pictures are transmitted into the video fusion system. In the system, SURF feature points are extracted from several pictures to simulate After the radial transformation, real-time splicing is performed on them. After comparing the APAP algorithm, Multi Blend algorithm, Stitching algorithm, and the best fusion line algorithm, the best fusion line algorithm is selected for video fusion. At the same time, considering that the system requires a large amount of data operations, if the CPU is simply used to process too many videos, the effect of the algorithm and the delay of the video are often unsatisfactory. The system uses CUDA to combine the SURF algorithm and image simulation. The radial transformation is performed on the GPU, which greatly improves the fusion effect and speed of the video. Through experiments, the system can complete the splicing task better. At the same time, compared with not using CUDA for acceleration, the frame rate is increased from 3 frames per second to 25 frames, and the display can basically achieve real-time effects.
About some issues of victimological prevention of fraud

Fraud, traditionally regarded in the history of law as the fraudulent acquisition of someone else’s property, is characterized by the emergence of new areas and methods that do not fit into the standard framework of the Criminal Code. Illegal acts in the field of high technology, investment, banking, insurance, etc., are qualified under the general rule of “Fraud”. The prpose of the study is to develop recommendations for improving victimological measures to combat fraud. During the study, general scientific and private methods and techniques were used: historical, legal, logical, the study of special literature, analysis, and generalization of the obtained data. The authors, examining the characteristics of victims that cause their victimization, reveal the content side of the mechanism of fraudulent actions. Using official statistics data, the analysis of the spheres and methods of fraud, the use of computer technology in the commission of fraudulent actions are carried out. Based on the analysis of the most common ways of committing fraud, victim-dangerous situations, and the properties of its potential victims, the authors formulated measures of victimological prevention of this crime. Among the promising directions in scientific and practical terms, constant informing of the population about new methods of deception, updating of practical tips on “How to protect yourself from fraudsters”, increasing the level of legal culture of citizens are proposed. These measures will create a model of human interaction with other people, society and the environment, which will lead to a reduction in the number of possible victims of fraudsters.
Cyber Crimes Trends in Pakistan: Analyzing the Legal Framework and Enforcement Challenges

This study looks at the growing problem of cybercrime in Pakistan, concentrating on the legislative framework and the issues that law enforcement authorities face. It examines the rise of cybercrime in the country, the evolution of cyber legislation, and the passage of the Prevention of Electronic Crimes Act (PECA) in 2016. The report emphasizes the importance of a strong legal framework in combating cybercrime efficiently. Despite PECA, internet crimes remain a big threat. The study highlighted enforcement challenges such as technology constraints, data breaches, terrorist risks, and a lack of public awareness. It underlines the significance of specialized courts, public awareness campaigns, and improved technical capabilities for law enforcement. The conclusion underlines the importance of Pakistan strengthening its law enforcement and amending existing legislation to effectively combat cybercrime. Implementing the study's recommendations can help to preserve citizens' rights and privacy while also reducing cybercriminal risks. Pakistan must take decisive steps to combat cybercrime, and the study's recommendations provide a good framework for this effort.