Reviewerly/exHarmony huggingface dataset:
Application of Internet Information Technology in College Music Education Teaching System

The development of society has higher and higher requirements on the quality of talents, and the demand for talents with comprehensive literacy continues to rise. Using music education as a means to continuously improve the music aesthetic quality of the new generation of young people and establish music aesthetic concepts is an important entry point to improve the quality of the whole people. But the current colleges and universities basically still focus on the traditional education and teaching methods, largely ignoring the importance of music education. In order to improve the comprehensive quality of college students, this paper introduces Internet information technology into the study of music system. The experimental results show that the research on the application of Internet information technology in the music system of colleges and universities can save time and management costs to a great extent and increase the efficiency of educational resources by 3.58%. At the same time, it can implement dynamic music evaluation, reasonably arrange students’ daily music training plans, improve students’ comprehensive quality and music literacy, and integrate music education into students’ lives, so as to increase the effect of music education to a great extent. Besides after the Internet information technology is applied to the music teaching system, the system can be linked with the network platform and resources, which greatly enriched teaching materials for music and information technology.
Implementation of Deep Learning to Detect Indonesian Hoax News with Convolutional Neural Network Method

This study aims to establish and test a model that is used to determine valid news and hoax news. The method used is the Convolutional Neural Network (CNN) method and Word2Vec as embeddings. The research stages consist of data collection, pre-processing, word embeddings, model formation and testing the results obtained. The data used is 958 news. After testing with the distribution of data by 80% as training data and 20% as test data and 5 times epoch, the model that has been formed can determine valid news and hoax news well. In this study, a model with a vector dimension of 400 as input data and a multiple filter size of 3,4,5 became the best model. The resulting accuracy, precision and recall are 0.91. These results are influenced by the selection of the size of the vector dimensions on the output of Word2Vec, the selection of the filter size on the convolution layer and the addition of the Indonesian Wikipedia corpus into the corpus used.
Enterprise Architecture Planning Using TOGAF Framework Case Study Dampit Village

As an administrative area under the Sub-District, Kelurahan Dampit does not yet have an information system and information technology that supports its activities, such as technical administration for all activities inside Kelurahan Dampit, reporting and monitoring of monitoring of community activities, administration of correspondence, population registration, inventory of problems related to community services, manufacturing report on the implementation of duties and filing. Therefore, it is necessary to plan an enterprise architecture to increase the effectiveness of work in public services, reporting, monitoring and managing the internal functions of the Kelurahan. This study discusses the planning of enterprise architecture in Kelurahan Dampit using the TOGAF (The Open Group Architecture Framework) framework with the ADM (Architecture Development Method) method as a method used for guidance or tools to plan, design, develop and implement information system architecture. This enterprise architecture planning will produce a business architecture blueprint that describes business processes, an application architecture that describes application design and interactions with other related applications, a data architecture that describes data storage, management and access, a technology architecture that describes the supporting hardware and software application infrastructure as well as the roadmap for implementing the application for Kelurahan Dampit.
On some problems of control automation in Higher Educational Institutions

The article discusses the issues of automating the management of a higher educational institution and possible ways to solve them. The subject of research in this article is the regularities of higher educational institution management, which should be taken into account when building automated higher educational institution management systems. The purpose of the study is to consider the features of the laws governing the management of a higher educational institution and their consideration in the construction of automated control systems for a higher educational institution. As research methods, a systematic approach, analysis, synthesis, induction, deduction, abstraction, generalization, and a method of modeling managerial situations were used. In the chord of the study, the following was found. There are two approaches to automating the management of higher education institutions: an approach to automating management based on standard solutions in the field of automation of management, and an approach based on individual solutions in the field of automating the management of higher education institutions. An analysis of these approaches shows that in order to improve the efficiency of managing higher education institutions, it is necessary to use a two-loop scheme of management automation. At the same time, a typical solution should be used as an external loop for automating the management of higher education institutions, while an individual solution in the field of automating the management of a higher education institution should be used as an internal loop for automating the management of higher education institutions. At the same time, in order to ensure the effectiveness of the interaction between the internal and external circuits of automation of the management of higher educational institutions, they must be harmonized with each other.
Cognitive model of knowledge

The physiology of cognitive activity of the human body is considered: reflexes, instincts, brain afferentations. The afferent fields are laid in human ontogenesis, and their development goes along the path of narrowing the circle of afferentations, the allocation of the “leading” and the location of the others in the reserve fund. The vertex of the cognitive knowledge of the material world is conceptual principles and fundamental natural generalizings, which are polycerent functional brain systems. Cognitive subject activity has in its composition two components — the natural and the social, forming the inextricable unity of natural and social starts of the living mental process of self-regulation in all forms of the activity of the subject. At the highest stages of personality development, the mental still does not cease to be natural and does not become “purely” social. Proportion of natural and social, ensuring the fundamental role of the subject in their mental development, the child's brain receives in the womb. External impacts and influences are valid only indirectly through the internal conditions of the subject in accordance with the cognitive principle of determinism — “external (inter) only through the internal (intra)”. The most important property of a person is self-consciousness of itself in the system of other people and events of society, their activity and their development and self-development. There are two aspects of the manifestation of subjectivity in education: the formation of the subject and personal position of the individual in the development of the sociocultural world and determine its place in it. The subject position of the individual to the environment and people and the subject of the activities of the teachings and mastering (engineering) profession (general scientific and professional education engineer).
Practice-oriented training based on the pedagogical potential of traditional National Cultures

The article analyzes the problem faced by educational institutions today — ensuring optimal conditions for practice-oriented education in universities, including universities of the humanities. Aim this article was an appeal to the system of ethnic values that determines the content of educational technologies that take place in the educational process of various areas of training of a regional university of culture. Results. The optimally constructed model of practice-oriented education is based on the principles of preserving the traditional ethnic values of the peoples living in the territory included in the educational cluster. During the organization of practice-oriented training at the university, the leading principle of which is close interaction with the bearers of the values of ethnic culture of the peoples inhabiting Eastern Siberia, the cultural heritage is not only preserved, but also enriched due to the diversity of the ethno-cultural gene pool tested during the educational and educational activities of the university. In addition, the cultural heritage gets chances for further preservation and development The scientific novelty and practical significance of the undertaken research consists in the development of a special context of educational programs and the introduction of an ethno-cultural component into the curricula of most areas of training of a regional university of culture in order to provide a practice-oriented approach to the educational process and meaningful provision of the current stage of training for the cultural sector for the territory of Eastern Siberia.
The impact of question format on teenagers’ self-disclosure when answering health-related questions: a within-subject experimental design (Preprint)

<sec> <title>UNSTRUCTURED</title> Nowadays, adolescents have more access to electronic devices and the internet than ever before. The fast adoption of social networking for everyday life purposes has made it difficult for them to refrain from being in a perpetual state of connectivity. In parallel with that, a mental-health epidemic affecting this same generation has emerged, linking the excessive use of technology to the development of mood-related disorders like depression and anxiety. That being said, efforts are being made, by researchers and clinicians, in developing online tools, like chatbots, to provide a much-needed support to younger individuals in their mental health struggles. The purpose of this research is to help improve the efficacy of online mental-health interventions by exploring how variations of question formats lead to greater levels of self-disclosure, which, in turn, improve the efficacy of the mental health intervention. This study explores how different question formats affect adolescents’ likelihood to self-disclose when answering health-related questions. For that, we evaluated the effect of variations in context, language and emojis on the likelihood to provide answers. In order to verify our hypotheses, we conducted a within-subject online survey with teenagers (N=125). Results showed that there is a significant correlation between the three independent variables (i) context, (ii) emojis and (iii) language, and adolescents’ self-disclosure for health-related questions. Several theoretical and managerial implications of this study are outlined in this paper. </sec>
Perencanaan Strategis SI/TI Menggunakan Metode Ward and Peppard (Studi Kasus : Bale Hidroponik Salatiga)

In the current era of information development, companies are required to be able to innovate and compete with other companies. The sales process at the Salatiga Hydroponic Bale currently utilizes simple but not optimal information technology. Thus, IS/IT Strategic Planning was made to analyze internal and external business and determine IS/IT strategies for selling organic and hydroponic vegetables at Bale Hydroponics Salatiga to make it more profitable in the future. Data collection in this study used descriptive research methods with a qualitative approach. The method used in this research is the Ward and Peppard method with analysis tools namely Value Chain, SWOT (Strengths, Weaknesses, Opportunities, and Threats), McFarlan Strategic Grid. This research produces an IS/IT proposal which is mapped using the McFarlan Strategic Grid and produces an output in the form of recommendations for the company from the analysis of the IS/IT internal and external business environment within the company.
Psychological and Managerial Aspects of Music Teacher’s Social-Emotional Competence

At the present stage of education development, new competencies are being put forward, which requires serious changes in teacher training. In the context of holistic and social constructivist approaches to the process of the development of students’ creativity and self-expression across musical activity, music teacher’s social-emotional competence has become especially relevant nowadays, which, in turn, puts forward the need to revise and strengthen the psychological and managerial aspects in the content of the training of a future music teacher. Objective of the study: psychological and managerial aspects of music teachers’ social-emotional competence. Aim of the study: to investigate psychological and managerial aspects of music teacher’s social-emotional competence in the content of music teacher training programs according to social and emotional goals in modern music education. Analysing European documents and scientific works of the last decades, as well as data from focus group (11 music teachers) discussions in which Latvian music teachers participated, the main results of the study are: a) social and emotional goals in modern music education; b) psychological and managerial aspects in competence profile of music teacher. Author concluded that due to global changes in society, philosophy and humanitarian sciences, the field of education needs to be transformed, including the content and process of teacher training. For creation of a positive and supportive emotional environment in the classroom, it is necessary to include music teachers’ curriculum a) live musical communication; b) building an understanding about the value of music as cultural heritage of family, community and the nation as a whole; c) psychological and managerial basis in support of cooperation between teacher and students as equal partners in musical, research and other kinds of activity.
Implementing Transferable Competencies in the Curriculum Through the New Course "21st Century Skills": A Case Study

The paper presents the design, implementation and evaluation of the course "21st Century Skills" which is a partial output of the international project "CATCH 21 - Changing the Approach to University Teaching". The topics of the course were chosen based on the results of qualitative interviews with HR managers who assessed what transferable competencies are missing in university graduates. Prior to the start of the course, the students underwent a self-assessment of the transferable competencies. Within a course several innovative activating methods were used. At the end of the course, students rated the relevance of the course itself.
The Opinion of Pre-Service Teachers on the Online Course on Textiles

Distance learning became the predominant mode of education during the COVID-19 period. The purpose of the present study was to find out students' opinions about hands-on textile work during online learning in the basic textiles course, which is usually live. During the semester, they receive instructions for practical work through the online classroom. After completing the work, their work was evaluated. They were also asked to complete a survey expressing their opinions about online learning of practical work. 1st year Home Economics students participated in the study.The results showed that students took on this kind of work as a challenge. As they were limited in material, they had to show a certain amount of ingenuity and creativity. Half of the studentswas to recycle old clothes. The results indicate that practical work motivated students to learn new techniques and that the task was perceived as relaxing; they mentioned positive emotions during the activity, the desire to improve products with which they were not satisfied, independence. It was interesting that on average the textile products were made more carefully and precisely than the products of students in the previous year. A reason for this could be that students were not limited with time likethey are in formal classes and probably spent their free time making the best possible product. The results indicate the important role of practical work in fostering creativity and motivation for the content of the course.
NUMERICAL OPTIMIZATION ALGORITHM AND PROGRAM IMPLEMENTING THE PARTICLE SWAR OPTIMIZATION

One of the numerical optimization methods is considered, which implements the so-called particle swarm method. A modification of the method based on the division of the iterative calculation process into two stages is proposed. To speed up calculations and reduce their complexity. At the first stage, the objective function is replaced by a simplified model, which allows you to quickly determine the approximate area of extremum localization. The final solution is sought in the found localization area, using the original objective function. A console application that implements the algorithm is described and the results of numerical experiments performed using this application are presented.
THE METHOD OF STATISTICAL MOMENTS IN A POLYNOMIAL REGRESSION OF CORRELATION DEPENDENCE

The methods of probability theory substantiate a brief procedure that allows us to express the parameters of the polynomial regression of conditional mathematical expectation through mixed statistical moments of a system of random variables. Examples of linear and quadratic regression are implemented. In the second case, consideration is limited to the situation when the probability density of a random argument is an even function. The result was obtained without cumbersome calculations, since it was obtained using not the initial statistical moments resulting from the least squares method, but mixed central moments reflecting the type of regression curve. It is shown that in the general case, taking into account the nonlinearity of the correlation dependence only strengthens the inequality, which is the criterion for the adequacy of the regression approximation. The convergence of such a procedure is confirmed if the conditional expectation is not essentially a polynomial.
REÚSO DAS ÁGUAS DE LAVAGENS DOS FILTROS DA ESTAÇÃO DE TRATAMENTO DE ÁGUA – ETA NO DISTRITO DE IARA – BARRO-CE

The management of waste generated in Water Treatment Stations -ETA is the object of several studies, and its indiscriminate disposal constitutes a great environmental liability.Among the waste generated, the water used in the cleaning processes of the filters stands out, which is often indiscriminately released into the environment.This work refers to the development and performance evaluation of a water reuse system for washing ETA's filters followed by a sludge dehydration system.The waste treatment practiced by sanitation companies shows that the constant search for better results is necessary.The awareness about the polluting potential of these inputs makes us seek alternatives for the treatment and correct final destination.In this context, there are the effluents originating from the WTP in the district of Iara -Barro -CE, whose tailings generated in the washing of filters are being released on private land located next to the treatment system.The proposed solution refers to the construction of a Generated Tailings Treatment Station (ETRG), drainage beds to treat the water from washing filters, reusing it in the initial cycle of the treatment process, aiming at reducing the flow of supply water.human.In addition, the objective is also to treat the sludge and provide a suitable final destination.Therefore, with the construction of the ETRG, it is expected to solve the problem of inadequate disposal and reduce the flow of raw water, which comes from the source, by reusing the water from the washing of the filters, as well as meeting a condition of SEMACE for renewal of the License of Operation of Water and comply with a determination of the Regulatory Agency -ARCE in relation to the treatment of the sludge and a suitable destination for the same.
Feasibility Analysis and Countermeasures of Psychological Health Training Methods for Volleyball Players Based on Artificial Intelligence Technology

In the process of volleyball players' mental health training, there exists the problem of low parameter accuracy. In order to further improve the accuracy of mental health training methods, based on artificial intelligence calculation, the neural network and long and short-term memory network were used to analyze the model. Estimation algorithm was used to describe the data, and finally, the optimization model was obtained to describe the feasibility study of mental health. In addition, the relevant data were used to verify and analyze the model. The research shows that in the time update curve, with the increase of the model state, the corresponding curve on the whole first presents a fluctuating trend of different degrees. The increase of model state will make the corresponding time value gradually tend to flat. The fluctuation of the corresponding time index is obvious. Indicators corresponding to the status update curve show an obvious linear change trend with the increase in time, and the overall linear characteristics are obvious. This shows that when time is constant, the relationship between the corresponding parameter and the state value conforms to the linear law. The corresponding state index gradually increases and eventually tends to be stable. Through the analysis, it can be seen that the proportion of different indicators under the effect of artificial intelligence and the calculation results are different. The parameters show an obvious linear variation trend, indicating that the corresponding model parameters can well reflect the data changes. Finally, the accuracy of the model is verified by the method of experimental comparison. The relevant research results can provide a new model and a method for volleyball players' mental health training.
Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models

Abstract The capability of effectively quantifying the uncertainty associated to a given prediction is an important task in many applications that range from drug design to autonomous driving, providing valuable information to many downstream decision-making processes. The increasing capacity of novel machine learning models, and the growing amount of data on which these systems are trained poses however significant issues to be addressed. Recent research advocated the need for evaluating learning systems not only according to traditional accuracy metrics but also according to the computational complexity required to design them, toward a perspective of sustainability and inclusivity. In this work, we present an empirical investigation aimed at assessing the impact of uniform sampling on the reduction in computational requirements, the quality of regression, and on its uncertainty quantification. We performed several experiments with recent state-of-the-art methods characterized by statistical guarantees whose performances have been measured according to different metrics for evaluating uncertainty quantification (i.e., coverage and length of prediction intervals) and regression (i.e., errors measures and correlation). Experimental results highlight possible interesting trade-offs between computation time, regression and uncertainty evaluation quality, thus confirming the viability of sampling-based approaches to overcome computational bottlenecks without significantly affecting the quality of predictions.