Reviewerly/exHarmony huggingface dataset:
Analisis Perilaku Siswa Kelas 5 SD N 4 Getassrabi Terhadap Game Online

This study aims to describe the reality of using online games in grade 5 students at SDN 4 Getassrabi and to analyze the behavior of grade 5 students at SDN 4 Getassrabi towards online games. In this study the authors apply a qualitative approach, because a qualitative approach produces a description of the people and behavior observed. This qualitative research will be carried out on informants or research subjects consisting of 3 grade 5 students, 3 parents of students, and a grade 5 teacher at SDN 4 Getassrabi. Data collection techniques include observation, interviews, and documentation. The data analysis technique used in this study went through 3 stages, namely: data reduction, data display, and verification or conclusion drawing. The results showed that the reality of using online games in grade 5 students at SDN 4 Getassrabi found that grade 5 students already knew and played online games. The types of online games that are popular are the types of war and battle. Meanwhile, the behavior of grade 5 students at SDN 4 Getassrabi when playing online games is more towards negative behavior, forms of negative behavior in children that arise when they play online games are in the form of defiance (negativism), aggression (aggression), disputes or quarrels (quarreling), and teasing.
Profesionalisme Dan Independensi Auditor Terhadap Kinerja Auditor

At this time, public trust in the public accounting profession began to diminish, this was due to the many cases of accounting manipulation. A Public accounting firm (KAP) is a public accounting organization that obtains a license in accordance with laws and regulations that operates in the field of providing professional services in public accounting practice. The auditor profession has been in the public spotlight in recent years. An auditor must have high professionalism in carrying out his duties. The audit results of an auditor must be accountable to interested parties. The auditor's performance is the result of the auditor's work in carrying out the assignment of examining the financial statements of an entity with the aim of determining the fairness of the financial statements. The quality of financial reports is centered on the auditor's performance. To achieve good performance, an auditor must have an attitude of independence. This study aims to determine how independence and professionalism affect auditor performance. The results of this analysis indicate that auditor professionalism and auditor independence have a positive effect on auditor performance. Based on these results, it can be concluded that an auditor who conducts audits in a professional manner will act independently so that the audit results cannot be influenced by other parties.&#x0D; Keywords: Professionalism, Independence, Auditor Performance
АНАЛИЗА СТАЊА ИНФОРМАТИЧКЕ ПИСМЕНОСТИ У ОСНОВНОЈ И СРЕДЊОЈ ШКОЛИ СА ОПШТИНЕ УГЉЕВИК

The research we conducted aimed to present an analysis of the state of information literacy in primary and secondary schools in the municipality of Ugljevik. Nowadays, it is necessary to know that we use computers and information technologies in the right way, which is why there is a need to be computer literate. Teachers are the ones who should help students to be able to use computers and information technology properly and to know how to use them as a tool to help them solve certain problems. In order for students to be trained in the proper use of computers and information technology, in the first place there must be teachers who will know how to use them, so a survey was conducted to examine how much knowledge students have in information technology and to whether they can be considered computer literate. The paper presents the results of the research.
Information Integration in the Brain: The case of Predictive Inference in Reading Comprehension

Information processing remains a puzzle for cognitive psychologists. The reason is due mostly to the complexity of this problem and the many parts the brain activates that take part in information processing. Reading comprehension is a typical important task that requires extensive processing, and a well-developed theory that explains this process is far from complete. In this paper, we use discourse processing as a tool to shed some light on intrinsic ways the brain adopts to interact with information from the outside world, reading in our case. Our goal is not to propose a theory of discourse, which is beyond the goal of this work, but rather to bring attention to other abstract factors that are statistical in nature but might still be very relevant to any future understanding of reading comprehension. The process we set to demonstrate is discussed in Experiment 4 in this paper. The first 3 experiments we discuss here were designed for the purpose to progressively build arguments that will support our interpretation of the results we measured in Experiment 4. Our results show that a new kind of inference is possible that is unrelated to world knowledge or cohesive integration of the text and that is driven mainly by time pressure and limited capacity of the working memory.
ANALYSIS OF STUDENTS' ATTITUDES ON THE QUALITY OF INFORMATICS TEACHING IN PRIMARY SCHOOL

Pupils and students expect the best possible service from their schools and colleges, as in all other spheres of life: quality and quantity of knowledge, modernity, functionality, decent price and the like. In Bosnia and Herzegovina, regardless of the possibilities provided by information technologies, the monitoring of work in schools has not changed significantly in the past 50 years. In the meantime, informatics has become an integral part of other subjects as well, but for now there are no indications that it will become a compulsory subject in lower grades.
Exploring Browser Frameworks: A Comparative Analysis and Deployment Demo

model, it is possible for beginning (and seasoned) HEP physicists to execute framework programs easily and efficiently, with minimal coupling to framework-specific constructs. Meld aims to directly support the frameworks needs of neutrino experiments like DUNE as well as the more common collider-based experiments.
Unsupervised pre-training of graph transformers on patient population graphs

Pre-training has shown success in different areas of machine learning, such as Computer Vision, Natural Language Processing (NLP), and medical imaging. However, it has not been fully explored for clinical data analysis. An immense amount of clinical records are recorded, but still, data and labels can be scarce for data collected in small hospitals or dealing with rare diseases. In such scenarios, pre-training on a larger set of unlabeled clinical data could improve performance. In this paper, we propose novel unsupervised pre-training techniques designed for heterogeneous, multi-modal clinical data for patient outcome prediction inspired by masked language modeling (MLM), by leveraging graph deep learning over population graphs. To this end, we further propose a graph-transformer-based network, designed to handle heterogeneous clinical data. By combining masking-based pre-training with a transformer-based network, we translate the success of masking-based pre-training in other domains to heterogeneous clinical data. We show the benefit of our pre-training method in a self-supervised and a transfer learning setting, utilizing three medical datasets TADPOLE, MIMIC-III, and a Sepsis Prediction Dataset. We find that our proposed pre-training methods help in modeling the data at a patient and population level and improve performance in different fine-tuning tasks on all datasets.
ORIENTATION OF STUDENTS TO THE FORMATION OF AN ECOLOGICAL CULTURE FOCUSED ON SUSTAINABLE DEVELOPMENT

»)
The development and application of UAV intelligent machine learning system based on artificial intelligence

In the rapid development of artificial intelligence technology, some scholars proposed to integrate artificial intelligence and UAV technology together, comprehensively improve the application technology level of UAV, and truly meet the needs of information collection and processing in different fields. According to the application of UAV technology means in recent years, whether in the military field or the civil field, UAV has a very broad prospect for development. Intelligent UAV will replace the traditional UAV in a comprehensive way. Therefore, Chinese scientific research field should strengthen the integration of artificial intelligence and UAV technology research and development efforts, so as to guide the sustainable and healthy development of our UAV cause. After understanding the advantages of artificial intelligence and UAV technology, this paper mainly explores the development and application of UAV intelligent machine learning system according to the existing UAV technical means and artificial intelligence algorithm, and takes the UAV intelligent machine learning system in the agricultural field as an example to effectively verify the reliability of the application algorithm.
Research on Data Mining Technology and its application in College English Teaching

Under the background of big data era, data mining technology, as a unique data processing technology, is applied and promoted in college English teaching. It can not only guide the English teaching management to develop steadily in the direction of intelligence and digitalization, but also can link the recessive and explicit factors together to improve the comprehensive effect of college students' English learning. According to the accumulated experience of college English teaching in recent years, the application research of data mining technology theory is becoming more and more in-depth, which fundamentally changes the traditional monotonous education management mode and speeds up the pace of college English education reform in the new era. Therefore, on the basis of understanding the current situation of college English education, this paper starts from the perspective of English teaching evaluation, deeply explores the data mining technology and its application direction, takes the college English teaching evaluation system as an example, verifies and analyzes the application value of data mining technology, in order to provide an effective basis for college education innovation in the new era.
The application of association rule algorithm in vocational English teaching

English teaching in higher vocational colleges is the basic content of modern education management. Under the development trend of economic globalization, facing increasingly fierce competition in the social environment, English teaching can improve the level of international competition and cultivate more excellent technical talents for urban construction and development. Especially after China's accession to the World Trade Organization, with the continuous expansion of economic construction and cultural publicity and opening-up, how to use English education to compete on the international stage has become the focus of education scholars in the new era. Therefore, after understanding the problems and challenges faced by English teaching in higher vocational colleges, this paper, based on the basic concepts of data mining technology and association rules algorithm, mainly studies the evaluation system of English teaching in higher vocational colleges with association rules algorithm as the core, and verifies the application effect of association rules algorithm combined with practical cases, in order to provide favorable conditions for improving the quality of classroom teaching.
Application research on English Translation Teaching Quality based on Data mining

In the development of education informatization, in order to improve the quality of English translation teaching, universities and colleges, based on the accumulated experience of practical teaching, put forward the use of data mining technology to deal with massive data information, and dig out the main contents affecting the quality of college English translation teaching from a variety of influencing factors, in order to provide effective basis for the innovation and development of modern education. After understanding the basic concepts of data mining and decision tree algorithm, this paper deeply discusses the quality evaluation system of English translation teaching based on data mining according to the research status of English translation teaching in colleges and universities, and verifies and analyzes the system application combined with practical cases. The final results show that data mining plays an important role in the application research of English translation teaching quality in colleges and universities.
How can social robot use cases in healthcare be pushed - with an interoperable programming interface

Abstract Introduction Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usability by non-experts. The proposed middleware is based on Android and is intended to be placed over existing robot SDKs and middleware. It runs on the android tablet of the Cruzr robot. Various toolings have been developed, such as a web component to control the robot via a webinterface, which facilitates its use. Methods The middleware was developed using Android Java and runs on the Cruzr tablet as an app. It features a WebSocket server that interfaces with the robot and allows control via Python or other WebSocket-compatible languages. The speech interface utilizes Google Cloud Voice text-to-speech and speech-to-text services. The interface was implemented in Python, allowing for easy integration with existing robotics development workflows, and a web interface was developed for direct control of the robot via the web. Results The new robot middleware was created and deployed on a Cruzr robot, relying on the WebSocket API and featuring a Python implementation. It supports various robot functions, such as text-to-speech, speech-to-text, navigation, displaying content and scanning bar codes. The system’s architecture allows for porting the interface to other robots and platforms, showcasing its adaptability. It has been demonstrated that the middleware can be run on a Pepper robot, although not all functions have been implemented yet. The middleware was utilized to implement healthcare use cases and received good feedback. Conclusion Cloud and local speech services were discussed in regard to the middleware’s needs, to run without having to change any code on other robots. An outlook on how the programming interface can further be simplified by using natural text to code generators has been/is given. For other researchers using the aforementioned platforms (Cruzr, Pepper), the new middleware can be utilized for testing human-robot interaction. It can be used in a teaching setting, as well as be adapted to other robots using the same interface and philosophy regarding simple methods.
STRENGTHENING APPLIED ORIENTATION OF SCHOOL NATURAL EDUCATION BY MEANS OF INFORMATION AND COMMUNICATION TECHNOLOGIES

The article reveals essence of the applied orientation of school education. Organizational and pedagogical conditions for the introduction of information and communication technologies in the practice of school work is determined. The application of such technologies in the educational process of the new Ukrainian school attaches special importance to the problem of strengthening the applied orientation of school natural education, development of computer-based ways of solving applied problems of industrial nature, filling the content of educational material with mathematical methods of displaying and processing information and reference support, etc. In order to visualize and define the system-creative relations of the concept of “applied orientation”, its structural and functional model which contains the main pedagogical objectives of school science education and possible ways to implement them is constructed. The pedagogical tasks reflect the goals of basic secondary education, as they present the main functions of the studied concept, determine its purpose and meaning of existence. Ways to implement the applied orientation are structural elements of the concept and reflect the actions and relationships in it.&#x0D; The main types of computer modeling used in IR support systems for teaching natural subjects, didactic possibilities of their use in teaching students of general secondary education are characterized. The analysis of interactive environments for solving applied problems using appropriate models is carried out. An algorithm for their design in various computer-aided design environments has been developed. Features of the formation of basic knowledge, practical skills in the use of measuring instruments, key competencies, cross-cutting skills and attitudes in computer-oriented environments are highlighted. In order to solve the tasks, the following methods and types of activities were used: the study of philosophical, psychological and pedagogical, scientific and methodological literature, advanced pedagogical experience, the content of curricula, programs, textbooks, didactic manuals for school science subjects and computer science, modeling of educational activities with the use of information and communication technologies, conversations, questionnaires, interviews and expert evaluation; experimental teaching using the developed system of tasks and diagnostics of student achievements; analysis of the results of educational activities using ICT; pedagogical experiment and statistical data processing.
METHODS OF STUDYING THE SEMANTICS OF PROGRAMMING LANGUAGES BY THE STUDENTS OF PROFESSIONAL EDUCATION INSTITUTIONS

The article shows that in institutions of professional (vocational and technical) education, the inclusion of a block of questions devoted to the semiotics of programming languages into the content of learning languages and programming methods will contribute to the successful implementation of the system of their fundamental training in the subject field «Information Technologies». The methodological system of education, built within the framework of the methodologicalical theory, helps students acquire knowledge and skills in the semiotics of programming languages. The main theoretical and methodological provisions are outlined, on the basis of which a methodical system of teaching the semiotics of programming languages ​​and a metamodel of the teaching method itself in the form of a methodical theory have been built. On the basis of the classification of models of syntax and semantics of programming languages, carried out to build a conceptual basis for the methodological theory of teaching semiotics of programming languages, there have been selected the following sections for teaching semiotics of programming languages: formal syntax of programming languages; meaningful operational semantics of programming languages; formal operational semantics of programming languages; formal deductive semantics of programming languages; denotational semantics of programming languages. At the stage of selecting the content of the elements of the model of the methodical system for teaching the semiotics of programming languages, the central place is occupied by the problem of setting learning goals, since the selection of the content of other elements is aimed at achieving the set goals. Semiotic educational models include a system of tasks, in which the subject area of activity is developed within the framework of specific teaching methods, which involve textual statements of educational problems or tasks. The goals and content of learning the semiotics of programming languages, largely influencing each other, determine the choice of teaching methods for the section in question. For example, when considering the last block of learning content, there has been chosen a simulation or social learning model, which provides for the student’s assimilation of new information, as well as attempts to get involved in the situation of solving professional tasks based on it.
Development of AKM (Minimum Competency Assessment) Instrument for Students' Financial Literacy on Money and Investment Material in Class XI IPS SMAN 1 Long Apari

&lt;p&gt;The objectives to be achieved in this study are to design the AKM (Minimum Competency Assessment) instrument model of financial literacy of students of SMAN 1 Long Apari class XI IPS on Money and Investment Material. To test the quality of AKM (Minimum Competency Assessment) instrument of financial literacy of students of SMAN 1 Long Apari class XI IPS on Money and Investment Material. This research includes development research or R&amp;amp;D (Research and Developmet), with 4D development procedures (Define, Design, Developt and Deseminate). The research subjects were 3 classes at level XI IPS with a total of 70 students, which were divided into two trial groups, namely in the large group of 60 students obtained from 6 times the number of test items developed. While in determining the amount of test subjects in the small group in this study were 20 students. The data analysis used passed the content validity test stage, instrument validity, reliability, difficulty level and question differentiation. The results of data analysis show that this instrument has passed the test of content validity, instrument validity, reliability, difficulty level, and question differentiation. Thus, this financial literacy AKM instrument can be used as an effective tool to measure students' competency level in money and investment materials.&lt;/p&gt;
A NOVEL APPROACH TO BANKNOTE CLASSIFICATION USING TRANSFER LEARNING

Banknote classification is a fundamental component of financial system architecture. Recognition as well as verifying the integrity of banknotes is extremely important for secure transactions at financial institutions. A highly precise multi-classification model can be created using deep learning along with an extensive image dataset of these currency notes featuring them in a myriad of conditions. In addition to providing accuracy, this would also assist reduce the amount of manual intervention required, which would result in greater employee efficiency. This study involves the implementation of transfer learning on a publicly available image dataset of Indian and Thai banknotes. The results of the study will help create an automatic banknote identification and integrity verification layer in the transaction system architecture of financial institutions. KEYWORDS : Banknote Classification, Banknote Identification, Multi classification, Machine learning
Software developers reasoning behind adoption and use of software development methods – a systematic literature review

When adopting and using a Software Development Method (SDM), it is important to stay true to the philosophy of the method; otherwise, software developers might execute activities that do not lead to the intended outcomes. Currently, no overview of SDM research addresses software developers’ reasoning behind adopting and using SDMs. Accordingly, this paper aims to survey existing SDM research to scrutinize the current knowledge base on software developers’ type of reasoning behind SDM adoption and use. We executed a systematic literature review and analyzed existing research using two steps. First, we classified papers based on what type of reasoning was addressed regarding SDM adoption and use: rational, irrational, and non-rational. Second, we made a thematic synthesis across these three types of reasoning to provide a more detailed characterization of the existing research. We elicited 28 studies addressing software developers’ reasoning and identified five research themes. Building on these themes, we framed four future research directions with four broad research questions, which can be used as a basis for future research.