Reviewerly/exHarmony huggingface dataset:
DEAD FORENSIC ANALYSIS OF QUTEBROWSER AND LIBREWOLF BROWSERS USING THE NIST 800-86 METHOD

A browser is software used to access web pages to obtain clear and readable information. Information resources are identified by a Uniform Resource Identifier (URI) and can be web pages, images, videos, or other content. When a browser user engages in online activities, they usually leave traces on the device such as history, cookies, cache files, and even emails and passwords. Such traces can usually help users access a website or input something, such as emails and passwords. The purpose of this research is to obtain digital evidence in the form of a cache on the hard disk in the Librewolf and Qutebrowser browsers. In this study, researchers used the National Institute of Standards and Technology (NIST) 800-86 method which consists of four stages, namely collection, examination, analysis, and reporting. which focuses on the Qutebrowser and LibreWolf browsers. The results obtained from this study were found to be 21 caches, 2 Sessions, 6 Cookies, 8 Network Persistent State, 9 QuotaManager, 11 IndexedDB, 24 LevelDB, 48 Cache Storage, 14 Favicons, 3 History, 6 Database, 3 StartupCache, 4 Alternate Services, 6 Content-Pref, Notification amounted to 1, Permission amounted to 7, Service Worker amounted to 6, SiteSecuristyServiceState amounted to 7, Webappstore amounted to 8, Sessionstore-Backups amounted to 5, Storage amounted to 47 NIST 800-86 method can be properly used in the acquisition of digital evidence and the most crucial data obtained in the Librewolf browser on the telegram and whatsapp sites.
CLASSIFICATION OF VOCATIONAL HIGH SCHOOL GRADUATES' ABILITY IN INDUSTRY USING EXTREME GRADIENT BOOSTING (XGBOOST), RANDOM FOREST, AND LOGISTIC REGRESSION

The education world is one of the main sources in producing Human Resources. Vocational High School (SMK) is one level of school that presents various majors that are ready to compete in the industrial world. Therefore, a school institution needs to have a system to determine the quality of education provided to students so that they can compete in the industrial world. This study designs a system that is capable of classifying SMK student graduates as an evaluation for the school institution. The goal is to enable the school to devise strategies for producing better student quality in the following year. There are four classes in this study, namely those who work, those who are not working yet, those who are in college, and those who are entrepreneurs. There are several stages in building the classification system, including pre-processing, processing, and evaluation. This research uses three machine learning algorithms, namely XGBoost, Random Forest, and Logistic Regression. The results of the three methods obtained a training score of 91.70%, a test score of 66.88%, and an accuracy score of 67% generated by the XGBoost algorithm. The Random Forest algorithm produced a training score of 97.36%, a test score of 68.71%, and an accuracy score of 67%. Meanwhile, Logistic Regression produced a training score of 51.14%, a test score of 50.43%, and an accuracy score of 50%.
Comparative Study and Analysis of Forensic Artifacts of WhatsApp and Telegram on Android Devices

Numerous instant messaging are available for mobile devices as a cheaper alternative over operator-based text messaging via SMS. Furthermore, instant messaging allow the user to exchange textual messages, images, audio, and videos. However, the ease offered by instant messaging also had a negative impact including making instant messaging as a criminal land. This paper focuses on conducting forensic data analysis of two popular instant messaging applications on Android smartphones; WhatsApp and Telegram. In this analysis, we use open-source tools and software applied on non-rooted Android devices. By using the result, an analyst will be able to read, and reconstruct the chronology of the messages and the list of contact and also know the difference in data structures obtained from these two instant messaging applications.
ORFF APPROACH AT MUSIC LESSONS IN KINDERGARTEN: MODERN EXPERIENCE

The content of the article examines the essence of K. Orff’s musical and pedagogical concept and reveals its importance in the creative development of the individual. Historical facts that contributed to the formation of progressive views are highlighted. On the basis of scientific works, an attempt was made to reveal the meaning of the Orff approach, which is based on the principles of child-centrism, mutual learning, the relationship of practice and theory, the integration of language, music, movement, musical improvisation, improvisation and creative activity, and the balance between process and result; use of Orff tools; adaptability, versatility. The opinion that language, rhythmic exercises, games, playing music on elementary musical instruments, improvisation is a natural way of developing the creative abilities of the children of preschool age has been updated. The history of the creation and activity of the Orff Schulwerk Association of Ukraine is described. The experience of implementing the Orff approach in the educational process of modern educational institutions, including preschool education institutions, is analyzed. Examples of the experience of music directors of preschool education institutions and samples of the Orff approach in the pedagogical activity of the author of the article are given. The opinion is emphasized that learning through action, creative forms of communication with music, speech, movement, research activities and integration of various types of activities into a single process contribute to the comprehensive harmonious development of preschool children. The proposed article is a certain scientific view on the subject of the historical-methodological foundations of musical education and personality education based on the Orff approach, which prompts the understanding of the problems of preschool music pedagogy.
CONDUCTOR AND ORCHESTRA: ARTISTIC ASPECTS OF THE CREATIVE PROCESS

The proposed article examines and summarizes the artistic essence of the main means of musical expressiveness from the point of view of their conductor reading; the main artistic and expressive means of music are defined and their basic meaning for the formation of an artistic image by the conductor in the process of creative work with the orchestra is highlighted; it has been clarified how important it is for an orchestra conductor, and especially for a beginner conductor, to have a deep methodical knowledge of the base of artistic and expressive means of musical performance. In general, it is outlined what artistic tasks a conductor should solve as the main interpreter of a musical work in rehearsal work with an instrumental team.
Techniques of Designing Modern Linguistics Mapping

This study focused on the modern fundamental techniques for designing and then achieving linguistics maps. In this vein, language maps provide a variety of illustrations of linguistic and cultural diversity. However, language mapping is not a new endeavor. The fundamental nature of cartography has changed with the evolving technologies. Accordingly, technology has provided cartographers with new methods for visualizing linguistic information. Thus, this paper used the qualitative approach to describe principles for constructing modern linguistics maps using Geographic Information System (GIS).
The Effect of Influencer and Contents Characteristics on Purchase Intention: Focusing on Mongolian Consumers

Purpose - Due to the spread of COVID-19, non-face-to-face transactions are widely growing. In particular, the development of streaming and network technology has rapidly grown the one-person broadcasting market, an influencer market using YouTube and Instagram. However, prior research on the influencer in Mogolian market is very scarce. Therefore, this study aims to identify the factors influencing consumer purchasing behavior in Mongolian market.&#x0D; Design/methodology/approach - We tested a research model of our study through the analysis using survey data of experienced users in Mongolian influencer market. In this study, reliability test and factor analysis, multiple regression were conducted using SPSS.&#x0D; Findings - We found that the characteristics of an influencer and contents in Mogolian market are positively related with brand reliability and contents authenticity, respectively. In addition, the brand reliability and contents authenticity are positively associated with the customer’s purchase intention.&#x0D; Research implications or Originality - Since it is the first study of the influencer market in Mongolia, it is expected that it will serve as a guide study for the follow-up studies in the future and serve as a reference for the strategic direction of related companies.
Exploring Sentiment Extraction from Dota 2 Update 7.33 “The New Frontiers” Tweets Using STANZA and NLTK

Updates of a game can give a different experience while playing and sometimes it becomes the most awaited and decisive point for players who have left the game to return. Updates can come in the form of gameplay changes or character skin updates. Dota 2 game has complex game elements ranging from choosing heroes to choosing the right items to counter the opponent's hero. The big updates provided by the Dota 2 game are always awaited by casual to professional players and also enthusiasts of the game, some update may lead to negative impact in gameplay and otherwise. In this study, a classification will be carried out from the results of sentiment analysis given by people on the biggest Dota 2 ver 3.33 update from twitter. This update overhauls many elements in the game and to find out whether there are many people who like it or not, the test was conducted. From the results of the sentiment analysis, a comparison of the automatic targeting using the Stanza and NLTK libraries is also performed, which results in a different number of positive, neutral and negative statement values.
Determination of The Best Koperasi Using SAW (Simple Additive Weighting)

Dinas Koperasi, UKM, dan Perdagangan Tanah Laut conducts the health of Koperasi by manually checking the financial report data of each Koperasi. It takes precision and a long time to carry out Koperasi health checks with manual calculations. This study aims to determine the best Koperasi performance using a decision-making system with the Simple Additive Weighting (SAW) method. The criteria to determine the best Koperasi performance were based on the attributes of the governance, risk profile, financial performance, and capital of Koperasi. The SAW method was used to select the best Koperasi by adding up each attribute, then multiplying by the weight of the related attributes. Based on the calculations using the SAW method, Koperasi 33 was selected as the best Koperasi with the highest vector value (V(i ))= 0.944719. This means that Koperasi 33 can be categorized as the best Koperasi
ANÁLISE DO PERFIL CLÍNICO-EPIDEMIOLÓGICO DE PACIENTES COM EVENTOS VASCULARES DECORRENTES DA COVID-19 NO HOSPITAL REGIONAL DE PRESIDENTE PRUDENTE

The COVID-19 pandemic has highlighted weaknesses in health systems around the world. At the beginning of the pandemic, several authors observed non-respiratory complications in patients of different ages and races, which drew attention to the nature of the novel coronavirus infection, which was hardly restricted to the respiratory tract. Evidence has shown that the pathophysiology of the virus is closely related to coagulation disorders, which favors the emergence of thrombotic events. The aim of this article is to highlight the epidemiological experience of a tertiary public hospital during the first year of the pandemic and the vascular complications observed. The study found that complications were more frequent in older patients, but there was no significant difference between race or gender. We conclude that understanding the behavior of COVID-19, not just the respiratory behavior, is fundamental, as vascular complications are real and need to be understood through new and extensive studies.
PENGGUNAAN MEDIA PREZI UNTUK MENINGKATKAN KETERAMPILAN MENYIMAK SISWA DALAM MATERI TEKS BIOGRAFI KELAS VIII

The purpose of this study was to investigate the use of Prezi media in improving students' listening skills in biographical text material in grade VIII. Qualitative literature studies are conducted by analyzing previous studies conducted in similar contexts. The results of the literature study show that the use of Prezi media in biographical text material has various benefits. Prezi's engaging and interactive visuals help students understand and visualize the information in the biographical text better. Prezi's organized structure and navigation features make it easy for students to follow the narrative flow of the biography and track the character's character development. In addition, the use of Prezi can also increase student engagement, learning motivation, and presentation skills. The use of Prezi media in biographical text materials can improve students' listening skills. Deep understanding, better analytical skills, informed response skills, high engagement and motivation, and improved presentation skills are some of the outcomes produced.
Estimating Accuracy of Quantity Representation During the Whole Schooling Period: Problems of Methods Development

The relevance and social demand for developing methods for measuring the accuracy of representation of quantitative information are associated with the need to analyze specific cognitive functions that underlie individual differences in speed and quality of learning in school. Expressed in symbolic, non-symbolic and mixed formats, representation of quantity is one of the most important cognitive functions that determines the success of learning mathematics. The article presents the results of the development and adaptation of three tests – “Number Sense”, “Number Line” and “Dot Number Task” – that measure the accuracy of the representation of quantitative information presented as sets of objects, numbers, and their combinations. The total number of study participants involved in the process of test adaptation amounted to 1,751 students in grades 1–11 aged from 6.8 to 18.8 years, of which 48.8% were girls. For each test, an internal consistency analysis was carried out, descriptive statistics were calculated, and the distribution of indicators of quantity representation accuracy at various levels of general education was analyzed. The results of the analysis showed satisfactory psychometric characteristics of computerized tests, which indicates their reliability and makes them suitable for application at the primary, basic and full levels of general education.
The “S” in “STEM”: education and policies amid and post-COVID-19

Governments worldwide have been trying to direct more students towards STEM specialty areas, but the number of students majoring in STEM and seeking a STEM career path is not proportional to their efforts. Additionally, the COVID-19 pandemic has brought to the surface the unrealistic expectations and false assumptions held by the general public about STEM fields. These have mainly been shaped by the “T” in the acronym, substituting technology for science. This brief urges for a policy shift in STEM and science education to reveal the true nature of science, emphasizing that science is not about providing definite answers nor granting miraculous solutions but about creating and disseminating knowledge based on the most accurate outcome informed by empirical evidence. Such a policy change will have a dual effect. First, it will ensure students authentically appreciate the nature of science, serve as agents of scientific thinking and reasoning within their communities, and become more oriented towards STEM majors. Secondly, this policy shift will prompt more realistic expectations and valid assumptions about science for the general public, which will help reduce public confusion and uncertainty, specifically at times of pandemics or emergencies.
Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics

As machine learning (ML) models for image perception continue to advance, ensuring their robustness and reliability under various real-world scenarios remains a significant challenge. Image quality factors, such as blur, brightness, and other environmental conditions, can significantly affect the performance of these algorithms, leading to inaccurate detection and potential failures in critical applications. In this paper, we propose a comprehensive diagnosis framework that leverages image quality metrics to assess and enhance the performance of these algorithms. To accomplish this goal, we deliberately introduce disturbances in parameters such as brightness, saturation, and other relevant factors. Subsequently, we compute a set of full-reference image quality metrics to evaluate the image quality after the perturbations. Once we have obtained the metrics, we apply a nonlinear transformation to these values. Based on the transformed metrics, we create a regression model that predicts the detection Intersection over Union (IOU). To validate our framework, we conducted experiments using three state-of-the-art machine learning models for object detection and instance segmentation. The models were subjected to various scenarios with different levels of image quality perturbations. Our experimental results clearly demonstrate the possibility of establishing a strong correlation between image quality metrics and the performance of the algorithms.
A Pretraining Strategy to Improve Faithfulness in Abstractive Text Summarization

A core dilemma of abstractive text summarization is to ensure that generated summaries are faithful to the relevant source documents, that is the degree to which the generated summary accurately reflects the content of the original text. Recent studies addressed the problem of faithfulness in abstractive text summarization from various aspects and they achieved significant progress. However, those studies lack a critical consideration of how pretraining strategies can affect and refine faithfulness in abstractive text summarization models. To address this issue, we proposed a novel pretraining method and analyzed its impact on both faithfulness and summarization. The proposed method stimulates the model to attend more for the more important sections that correlate with faithfulness in the source text. Our experiment and analysis illustrate that the proposed method can achieve better results on various faithfulness metrics than the baseline model. We also discussed that the proposed pretraining strategies can even refine the generated summaries in terms of summarization metrics.
Analisys of inclusive education in the Republic of Kazakhstan in the context of the philosophy of independent living

The philosophy of independent living is an important and key element in contemporary public discourse, permeating various aspects of our lives. It represents not just a set of principles and ideas but reflects fundamental rights and values that should be accessible to every individual, regardless of their physical, psychological, or cognitive characteristics. At the core of the philosophy of independent living lies an inclusive approach. Inclusivity envisions a society in which everyone, regardless of nationality, physical or intellectual abilities, social background, feels valued, fully integrated, and has equal opportunities. One of the fundamental principles in implementing the concept of inclusivity is the accessibility and equality of education. Undoubtedly, the integration of individuals with special educational needs (SEN) into the education system is a central topic in the global dialogue on the issues facing people with disabilities. To overcome the social barriers they encounter, it is necessary to provide not only physical adaptations such as ramps, specialized equipment, and trained personnel but also a change in societal attitudes. This is not just a matter of charity, it is a matter of protecting their rights. To realize these rights, comprehensive support from the government and society is required, including the enactment of appropriate legislation, the development of social infrastructure, digitalization of society, and more. However, despite widespread coverage and the interest of the global scientific community in this issue, there is a substantial difference in the level and quality of research in various countries. In an attempt to assess the state of inclusive education in Kazakhstan, the authors conduct a comprehensive review and analysis of contemporary scientific research in the chosen field conducted by domestic scholars. Keywords: special educational needs, inclusiveness, limited health capabilities, education, independent life, philosophy.
Evaluating Individual Involvement in Shaping Information Security Culture

In the increasingly advanced digital era, information security has become a crucial aspect for various organizations worldwide. In facing these challenges, organizations rely not only on sophisticated security technologies but also on active participation and involvement of individuals in shaping a strong information security culture. Information security culture encompasses the attitudes, values, and behaviors of individuals when it comes to addressing information security risks. This research aims to evaluate the individual involvement in shaping the information security culture within an organization. The study will involve measuring the level of individual awareness of information security, individual knowledge of information security, compliance with security policies and procedures, as well as individual behaviors in maintaining information security. Data collection will be done using a questionnaire that has been tested for validity and reliability. Awareness has an average total score of 13.20833333 and an average dimension score of 4.40277778. Meanwhile, knowledge has the same value as compliance and behavior, with an average total score of 13.27083333 and an average dimension score of 4.42361111. The results of this research reveal that the research subject has the lowest awareness value compared to other dimensions, while knowledge, compliance, and behavior have the same values. Overall, the research subject exhibits a relatively good information security culture, although it is not perfect.