Reviewerly/exHarmony huggingface dataset:
THEORETICAL ASPECTS THE FORMATION ARTISTIC-REFLEXIVE SKILLS OF MASTER MUSIC STUDENTS IN THE PROCESS PIANO TRAINING

The article deals with the problem of forming artistic and reflexive skills of master students of musical art in the process of piano training on the basis of psychological, pedagogical and artistic and pedagogical analysis of scientific and methodological work on the problems of reflection, artistic reflection and reflexive skills of future teachers of musical art, teachers of art disciplines. It has been established that the reflection of master students of musical art makes it possible to personally model the process of piano teaching based on self-observation, self-assessment and self-correction of learning activities. It is noted that the awareness of the value of the mission of a music teacher in the context of its comparison with personal motivation for professional achievements testifies to the formation of reflective skills. The mechanism of artistic reflection of master students of musical art is revealed, which is based on the involvement of mental actions and operations of analysis, synthesis, comparison, concretization, abstraction, etc. A scientific generalization of the essence of the artistic and reflective skills of master's students of musical art is made, and the characteristic features of these skills are specified. Key words. Artistic and reflexive skills, master students of musical art, piano training, reflection, artistic reflection, self-observation, self-evaluation, self-correction, reflective analysis, artistic activity, mental actions and operations, functions of thinking.
CREATIVE PEDAGOGICAL THINKING OF FUTURE MUSIC TEACHER: WAYS OF FORMATION

The article deals with the problem of forming the creative pedagogical thinking of a future music teacher in the process of vocal and choral training in the aspect of intensifying the intellectual and creative development of students. The author notes the need to increase the level of creativity of future teachers in order to effectively solve problematic situations of professional pedagogical activity from the stand point of situational and supra-situational problematic. The substantiation of the practical formation of creative pedagogical thinking of students of art faculties is based on the pedagogical stimulation of the thinking functions of setting and solving musical and pedagogical tasks and reflection. The ways of forming the creative pedagogical thinking of future teachers of music are presented in the context of targeted modelling of problem situations of vocal and choral teaching, involvement of theoretical methods in the methodological toolkit, as well as development and implementation of targeted trainings on the creativity of pedagogical thinking.Keywords: creative pedagogical thinking, future music teacher, functions of thinking, problems ituation, setting and solving musical and pedagogical tasks, psychological and pedagogical training.
Influence of the Quality of Academic Information Systems (SIAKAD) and Service Quality on Student Satisfaction Faculty of Economics and Business Utp Surakarta

The purpose of this study is to address the academic and administrative problems of the Academic Information System (SIAKAD). This research uses quantitative techniques, analytical descriptive methodology, and collects primary data by sending online questionnaires through Google Form to UTP Surakarta students who are customers of SIAKAD services at the Faculty of Economics and Business. Meanwhile, secondary data for this study was collected from literature studies. The population of this study is 160 FEB students who are regular users of SIAKAD and are enrolled in one of the two study programs Bachelor of Management or Bachelor of Accounting. Proportional random sampling is the method used in the sampling procedure. Based on the research, student satisfaction at the Faculty of Economics and Business UTP Surakarta is strongly influenced by the quality of administrative services and SIAKAD.
SWOT Analysis and Value Proposition Canvas as a Business Development Strategy for Tirta Sasmita Mineral Water

The mineral water business is a very interesting business, this is because the growth potential is projected to continue to increase every year, so it is not surprising that many companies are involved in the (AMDK) business, including CV. Tirta Sasmita which produces Tirta Sasmita Drinking Water. The large number of manufacturers in the AMDK business makes competition in the AMDK business increasingly tough, so it is important for companies to have a strategy to face business competition. One method that can be used to create a business development strategy is through SWOT Analysis and Value Proposition Canvas. From the results of the research carried out, it is known that the strategy is a Growth Strategy with activities that can be carried out including: 1) Carry out Market Penetration through optimizing Product Branding; 2) Penetrating the market through the "Water Refill Station" marketing scheme and 3) Carry out product development through product innovation in bottle packaging designs and product logos and change the design of the cardboard boxes used so they can be reused. Through the Value Proposition Canvas, the strategies developed show the advantages and benefits received by consumers from the strategies implemented through Pain Reliver and Gain Creator
Penerapan Revolusi Industri 4.0 di Dunia Pendidikan Untuk Pembelajaran Mata Kuliah Sistem Operasi

The Industrial Revolution 4.0 has brought many fundamental changes to the world of education, this also affects various aspects of learning, including Operating Systems courses. This article discusses the application of the Industrial Revolution 4.0 in the context of higher education, especially in the Operating Systems course. Concepts such as simulation, artificial intelligence, project-based learning, Internet of Things (IoT), and data analysis are used to increase learning effectiveness and prepare students to face the demands of the ever-evolving industrial world. The aim of implementing this advanced technology is so that education can keep up with industrial developments and provide a more in-depth and relevant learning experience. In the era of Industrial Revolution 4.0, universities must adapt to produce graduates who are ready to compete and innovate in the ever-changing information technology industry. Through the application of the Industrial Revolution 4.0 in learning Operating Systems courses, universities have created a more relevant, dynamic and adaptive environment. This allows students to better prepare themselves for the challenges faced in the ever-changing industrial world. Industrial Revolution 4.0 is not just a trend, but an evolution that enriches education and prepares future generations to face an increasingly technological future.
An Environmental Objects Feature Detection Algorithm Based on Image Detection in the Power Transmission System

Background:: The image processing technology can be adopted in the power transmission incident detection system, when it is combined with artificial intelligence and machine learning academic knowledge of power transmission surveillance video analysis system, it can automatically detect abnormal objects in the power transmission system. It can quickly and accurately detect abnormal objects, known as environmental object feature detection necessary for the safety of power transmission system. Objective:: In order to improve the object detection ability of the power transmission system, it adopts artificial intelligence and machine learning knowledge in the power transmission surveillance system and it can automatically detect abnormal events or objects. Methods:: Compared with differential binary target detection technique, it proposes a new adaptive background subtraction threshold algorithm to adapt the complex power transmission monitoring environment. Meanwhile, it takes special recognition algorithm for power transmission monitoring environment to ensure the accuracy and stability of the detection system. Results:: The proposed method can be used in the monitoring system and the accuracy and stability of the detection system have been verified through experiments. Conclusion:: Through adopting the special recognition algorithm for power transmission monitoring environment, it can ensure the accuracy and stability of the detection system, in the detection experiments, it can analyze the objects more easily than before.
Forschung: Vakuum in Forschung und Praxis 6/2023

Vakuum in Forschung und PraxisVolume 35, Issue 6 p. 12-21 Magazin Forschung: Vakuum in Forschung und Praxis 6/2023 First published: 10 December 2023 https://doi.org/10.1002/vipr.202370603AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume35, Issue6December 2023Pages 12-21 RelatedInformation
A REFLECTIVE AND AWARE APPROACH TO THE FORMATION OF AUDITORY ATTENTION OF STUDENTS OF UNIVERSITY FACULTIES OF ARTS

The article breaks down the specifics of the reflexive-aware approach to the formation of auditory attention of future music teachers. This important approach allows you to reveal such facets of the personality, where its attention is directed to itself, to its consciousness, including the products of its own activity, as well as any interpretation, reinterpretation and transformation of its past experience (the content and functions of its own consciousness: personal structures (values, interests, motives), thinking, mechanisms of perception, decision-making, emotional responses, behavioral patterns, etc.). The use of a reflexive-conscious approach directs the reflective actions of the individual from self-actualization to self-realization.This provides in the process of learning the self-knowledge of the individual, the development of reflective abilities, mastering the methods of self-regulation, self-improvement, and moral self-determination, which forms the life position of a socially active individual. Reflective actions contribute to increasing the professional competence of an individual, encouraging him to acquire quality, effectiveness in pedagogical activities and mastery.Key words: reflexive-aware approach, future music teachers, auditory attention, professional competence, quality of educational activity.
Judgment Retrieval Made Easier Through Query Analysis

The Hong Kong Legal Information Institute (HKLII) provides a repository of legal documents in Hong Kong and such as ordinances and historical court judgments. HKLII provides a search facility through which users retrieve relevant documents. We perform statistical analysis on HKLII access log over a 5-year period categorizing user search queries and discovering interesting user access patterns. Based on this study, we propose enhancing user experience through identifying the search intent of the user. We classify a user query into one of several types and customize the search behavior based on the query type to enhance user experience. Our study provides an example of leveraging log analysis in legal information system design.
A Question-Answering Approach to Evaluating Legal Summaries

Traditional evaluation metrics like ROUGE compare lexical overlap between the reference and generated summaries without taking argumentative structure into account, which is important for legal summaries. In this paper, we propose a novel legal summarization evaluation framework that utilizes GPT-4 to generate a set of question-answer pairs that cover main points and information in the reference summary. GPT-4 is then used to produce answers based on the generated summary for the questions from the reference summary. Finally, GPT-4 grades the answers from the reference summary and the generated summary. We examined the correlation between GPT-4 grading and human grading. The results suggest that this question-answering approach with GPT-4 can be a useful tool for gauging the quality of the summary.
Measuring the Impact of Data Sharing: From Author-Level Metrics to Quantification of Economic and Non-tangible Benefits

In early 2023, the National Institutes of Health (NIH) implemented its Data Management and Sharing (DMS) Policy, requiring researchers to share scientific data produced with NIH funding. The policy's objective is to amplify the benefits of public investment in research by promoting the dissemination and reusability of primary data. Given this backdrop, identifying a robust methodology to assess the impact of data sharing across diverse research domains is essential. In this review, we adopted two methodological paradigms, the bottom-up and top-down strategies, and employed content analysis to pinpoint established methodologies and innovative practices within this intricate field. Although numerous author-level metrics are available to gauge the impact of data sharing, their application is still limited. Non-traditional metrics, encompassing economic (e.g., cost savings) and intangible benefits, presently appear to hold more potential for evaluating the impact of primary data sharing. Finally, we address the primary obstacles encountered by open data policies and introduce an innovative "Shared model for shared data" framework to bolster data sharing practices and refine evaluation metrics.
Human-Centred Explanation of Rule-Based Decision-Making Systems in the Legal Domain: Demonstration

We demonstrate a human-centred explanation method for rule-based automated decision-making systems in the legal domain. This explanation method uses a graph database to enable question-driven explanations and multimedia display. This way, we can tailor the explanation to the user. We show the implementation of our explanation method in a real-world scenario at the Dutch Tax and Customs Administration.
Digital transformation in education: a bibliometric analysis using Scopus

Background: Digital transformation refers to applying digital technology in various fields of society. In the last 5 years, digital transformation has spread to most areas of social life, including education. However, research on digital transformation in education is still fragmented. Objectives: The aim of the study was to present a comprehensive review of studies on digital transformation in education using bibliometric analysis. Methods: We searched the Scopus database from inception to 1 January 2023 using the search terms &amp;lsquo;digital transformation&amp;rsquo; AND &amp;lsquo;education&amp;rsquo; within abstracts, keywords, or titles of journal articles or conference papers written in English. The retrieved articles were analysed using VOSviewer and Biblioshiny tools. Results: A total of 1329 relevant studies were retrieved. Although the first paper in this field was published in 1999, the number of publications has increased rapidly only in the past 4 years. The most influential countries in this field are the developed countries (Russian Federation, Germany, and the United States), but scholars from the developing countries (Indonesia and Thailand) are among the most productive. Papers on digital transformation are frequently published in journals with lower rankings within the Scopus database. Using VOSviewer for keyword co-occurrence analysis, we classified the research topics related to digital transformation in educa-tion into four main groups: digital transformation in higher education under the impact of the coronavirus disease pandemic 2019 pandemic, applying the technolo-gies of the Fourth Industrial Revolution to education, digitization and digital compe-tence in education in the context of digital transformation, and learning forms using technology (for example, e-learning, m-learning, and blended learning) in higher-education institutions. Conclusions: Four research trends related to digital transformation in education were identified. These trends may also change as digital transformation continues to develop.
Questioning Final Palaeolithic and early Mesolithic cultural taxonomy with a data-driven statistical approach

A recommendation of: Felix Riede, David N. Matzig, Miguel Biard, Philippe Crombé, Javier Fernández-Lopéz de Pablo, Federica Fontana, Daniel Groß, Thomas Hess, Mathieu Langlais, Ludovic Mevel, William Mills, Martin Moník, Nicolas Naudinot, Caroline Posch, Tomas Rimkus, Damian Stefański, Hans Vandendriessche, Shumon T. Hussain A meta-analysis of Final Palaeolithic/earliest Mesolithic cultural taxonomy and evolution in Europe https://doi.org/10.5281/zenodo.8195587
Super-resolution Localization Problem Based on the Mobile Scenario

Abstract Target positioning has always been a hot research topic in the field of sensors. In recent years, radar detection technology has become increasingly mature, resulting in a large number of radar sensors have begun to be used in traffic, security, medical and other fields for target detection. This paper mainly studies the super-resolution localization problem of FMCW FMCW in moving scenes. It analyzes the echo data by mathematical modeling to obtain the distance and angle information of the object to find the place of the object. To restore the motion trajectory of objects more realistically and achieve super-resolution positioning, a super-resolution radar positioning model based on Kriging interpolation based on the Fourier spectrum is established. By constructing a frame of intermediate frequency data Fourier spectrum tensor space, Fourier spectrum analysis is used to obtain the spectral characteristics of spatiotemporal changes when objects move. The Fourier spectrum surface is reasonably predicted through the statistical method - kriging interpolation. More Fourier spectrum information of objects in the time dimension can be obtained, and then more object points can be restored to achieve super-resolution positioning. This is widely used in the automotive field, which develops autonomous driving systems to help drivers better control the vehicle and reduce the probability of car accidents.
Studying the school algebra course in the conditions of distance education

Distance learning is becoming more and more relevant in today's educational environment, particularly for learning complex subjects such as algebra. The article examines the challenges and opportunities teachers and students face when learning a school algebra course in distance learning conditions. The author considers various methods, tools, and strategies to effectively learn the material, increase motivation, and support interaction between the teacher and the student in a virtual learning environment. The study also considers the impact of distance learning on academic performance and the development of students' algebra skills. The results of the study can determine the optimal strategies for the successful study of algebra in the conditions of distance learning and contribute to the further improvement of the pedagogical process.
THE IMPACT OF ONLINE GAMES ON THE SOCIAL ATTITUDES OF CLASS III STUDENTS AT ELEMENTARY SCHOOL NEGERI 85 PRABUMULIH

Online games are games that use electronic media in the form of multimedia which are madeas attractive as possible so that players can get something so that there is inner satisfaction. Theaim of this research is to determine the impact of online games on students' social attitudes. Theresearch method that the author uses in this research is a qualitative descriptive approach. Datacollection techniques use observation, interviews and documentation. The results of the researchshow that students are able to implement social attitudes, even though there are still those who use online games at school, they still practice various aspects of social attitudes, such as aspects of discipline, students are able to come to school on time, and students are disciplined by obeying the rules. is at school. Schools are expected to provide infrastructure that can improve students' social attitudes and the school can also direct students to more positive activities.
NARIO: An Ontology for Autonomic Management of Smart Substations

The NARI Grid Power Research Institute proposed an ontology for substation management – NARI Ontology (NARIO). The key function of a smart power grid replies on intelligent autonomic substation management, however, current substation management system lacks global orchestration, and the topology analysis methodologies used are domain specific and expensive both in time and storage. This paper proposes a formal ontology for the autonomic substations management in smart power grids, NARIO, by leveraging the existing industry ontologies and best practices. We view the resource of substations in a smart grid from three perspectives, namely, Device, Wire, and Interval. An prototype system implementing NARIO for autonomic substation management is developed in Python, with the rules written in hybrid SPARQL and Prolog. It has been evaluated in a real-life substation in Anhui, China. From the evaluation results presented, it is evident that the proposed NARIO can provide feasible and efficient topology analysis, orchestrating over the entire smart grid, with average query execution time over- head as low as around 0.05 seconds.
Methods of applied utilization of generative adversarial networks in graphic data processing

The paper explores an important area of artificial intelligence — Generative Adversarial Networks (GANs), which are used to create high-quality artificial data samples. GANs have undergone significant development and application in various sectors, including the processing of graphical data. The report focuses on the practical use of GANs and their architecture. It discusses the fundamental principles of GAN operation, highlights the advantages and disadvantages, including issues with training, vanishing gradients, and convergence oscillations, and describes measures to overcome these problems. It also examines current research in the field of GANs and their applications in various domains, including cybersecurity, medicine, forensics, and computer vision. Practical results from the report's authors regarding their own GAN experiments, optimization, and architecture improvements are presented. The research aims to analyze the architectural features of GANs to enhance their training process
Apply Smart Blockchain Framework in the Construction Contract Management

Construction projects, with their complex nature, large scale and various uncertainty, usually involve many parties with complicated collaboration. Conventional centralized governance fashions where client and/or general contractor plays the key roles and have overpowering force over others have been proven not effective in settling current loopholes. Blockchain, a distributed ledger technology with high transparency, immutability and security, is believed the solution as it has been applied successfully in many other industries with similar aims. This paper seeks to present a comprehensive empirical Blockchain-based contract management framework applicable in the construction sector to reduce the risk of payment, cash flow and conflict resolution failure and strengthen the overall project management procedure. The research outcomes were reviewed by a committee in which members are either experts in construction sector or Blockchain field via a written structured interview questionnaire. The evaluation result has demonstrated the superior of proposed framework for sorting out the automatic interim payment with the presence of a general contractor and one nominated subcontractor as well as solving the delay responsibility between a client and a general contractor and implementation of subsequent contractual events.