Reviewerly/exHarmony huggingface dataset:
THE INFLUENCE OF MUSIC ART ON SPEECH DEVELOPMENT OF ELEMENTARY SCHOOL STUDENTS

The author substantiates the role and importance of music in encouraging child’s speech and language development. The purpose of this article is to determine the effect of music presence in learning process, analyse the changes in speech development of elementary school students through musical interaction and justify the need for computer music technologies.This paper highlights the importance of developing the foundational skills (reading, writing, listening, speaking) and sub-skills (grammar, stylistic, pronunciation and vocabulary) by using a wide range of music technologies. The use of computer music technologies stimulates brain function that leads to an improvement students’ mental health and well-being, increasing cognitive function (concentration, attention, imagination, memory and thinking), developing important social skills.The article defines the use of logarithmics in preparation child's breathing, an auditory analyzer and speech production system for child's speech and language activity. Logopedic rhythmics is an effective method of development of mental cognitive processes, internal sense of rhythm, gross and fine motor skills, improving coordination and the personality spheres. Logarithmics is a correctional technique, which include speech and motor exercises, psychogymnastics and dance-rhythmic exercises. It was recommended to use this method not only in the treatment for children with speech disorders, psychomotor poverty or intellectual disability.The author has been making recommendations aimed at creating a positive psychological microclimate, activation of cognitive activity of children, engaging in creative self-expression and exploration of their capabilities, which help to accelerate the language development.&#x0D; Keywords: language development; music art; music computer technologies; speech development; speech skills; logarithmics; psychogymnastics; dance-rhythmic exercises; elementary school students; speech production system.
THE FACTOR OF CREATIVITY AS THE PREDICTOR OF INNOVATIVE ACTIVITY OF INFOGRAPHIC DESIGNERS

This article is devoted to the topic of correlation of creativity indicators of a graphic designer and the prospects for innovativeness of the result of his applied work, which is relevant in the world scientific community.The concepts of creativity and innovation are trending topics of scientific interdisciplinary research; today it has been proven that high creative potential is of practical importance not only in professional areas where it is necessary to show artistic inclinations, but also in all spheres of human life.Creative potential is a fluid indicator of a personality, which depends on a complex of factors, it is the development of this potential that increases the likelihood of a designer creating a fundamentally new, pro-social product.To date, the level of creativity can be measured objectively only conditionally, which makes it difficult to monitor this phenomenon in the framework of scientific experiments.During the course of this study, multiple options were identified that can synergistically interact and positively affect the expansion of the creative possibilities of the individual.An important fact remains that in the development of creativity, it is also necessary to pay attention to its ethical side, since it has both a creative pole and a destructive one.The result of this scientific work is to identify the need to create structural guidelines for the realization of creative potential among the contingent of graphic designers, who specialize in infographics, since innovations in infographic design are necessary not only to achieve the artistic and imaginative attractiveness of infographic material, but also to increase the effectiveness of the product as a tool of visual communications within the framework of a broad socio-cultural education of the population regarding topical global problems of society.
Automatic Water Desalination Device using Sugeno Fuzzy Logic (Case Study: Tangkil Coast)

Water desalination is the process of making fresh seawater or the process of making fresh water from salt water. This study uses a thermal desalination process because the salt content produced is less than the results from membrane desalination. This fuzzy method also has several variations in its application. The fuzzy Sugeno method used in this study differs from other methods, that is, with this method the results are in the form of constants or linear equations so that they can automate the desalination process. Tangkil Island is used as the object in this case study because it is a center for family tourism but has difficult access to fresh water. This study tested the results of desalination water by using a salinity measuring instrument with the type of salinity-615 as the standard for reading salt levels. The comparison results have an error value of above 50% due to the difference in the reading digits of the salinity-615 tool, which only has a value of 1 digit behind the comma, so that the results compared with the salt level sensor (embedded), which can read 3 digits behind the comma, have a high error percentage. The results of the tests carried out using Matlab with the actual conditions at the temperature, humidity, and water level observed that the desalination process runs automatically. From the results of these tests, there are very large differences in the calculation of the evaporation rate. The temperature and humidity factors can change at any time, which causes very large differences from the calculation results. In line with the increase in temperature and decrease in humidity, the evaporation process will be faster but will experience a slowdown in the evaporation process if the opposite occurs.
USING RELATIONAL DATABASE DESIGN TEMPLATES IN THE PRACTICE OF HIGHER EDUCATION

Чебоксары,
Development of Automatic Voltage Stabilization System for Substation Using Deep Learning

The voltage adjustment process is currently done manually by resident staff. As such, voltage regulation based on human judgement not only entails great uncertainty about voltage stabilization but also makes efficient operation in consideration of the economic feasibility of power facilities impossible. Therefore, this paper proposes an automatic voltage stabilization system that can automatically perform voltage adjustment. The proposed system predicts the required input capacity, and then predicts the optimal adjustment method considering the efficiency of power facility operation by adding an optimization process. In addition, through the development of UI, it is possible to visualize the operation of the algorithm and effectively communicate the prediction of the model to the user.
Aspect-based Rating Prediction with Deep Learning Based on the Combination of Aspect, Sentiment, and Semantic Features

Online shopping is widespread, and online reviews have become essential for purchasing decisions; however, the massive amount of review data causes information overload for users. To solve this problem, scholars have used recommender systems to analyze users' purchase history and rating records and establish user preferences. In addition to rating information, text comments help conduct a precise examination of user preferences, thereby improving the prediction accuracy of recommender systems. Therefore, this study proposes the method of aspect-based rating prediction with deep learning. First, the aspect, sentiment, and semantic vectors of users and items are extracted from the review texts. Then, the deep learning method is used to extract and identify the user and item features. Finally, matrix factorization is applied to predict the items that users may be interested in, as well as their ratings. The results show that this method produced better predictions than those proposed by other relevant studies and improved recommendation accuracy.
Design patterns for parser combinators in scala

Parser combinators provide a parsing experience that balances flexibility and abstraction with writing parsers in a style that remains close to the grammar. Parser combinators can benefit from the design patterns and structure of an object-oriented world, however, and this paper showcases the implementation and implications of various design patterns tailored at parsers in an object-oriented and functional world. In particular, features of Scala, such as implicits and path-dependent types, along with general object-oriented design help make it easy to write and maintain such parsers.
QUANTUM SEMIOTICS AND FEATURES OF ITS APPLICATION TO THE FORMATION OF OBJECTS OF DESIGN, ARCHITECTURE AND ART

The article considers the main approaches to defining the essence of the concept of quantum semiotics in the field of design, architecture, and art. The relevance of the study lies in the fact that quantum semiotics is gradually gaining ground in the modern world as a kind of response to evolutionary changes in the algorithms of human mental activity. This approach allows us to perceive information about the current reality and create its alternative version, in particular, in works of visual art. In this paper, quantum semiotics is considered as the ability of a person to perceive the world around him according to the quantum complementarity principle (augmented reality).&#x0D; The quantum-semiotic approach in the humanities makes it possible to trace the transformation of real cultural facts, events, phenomena, or objects into signs, to analyze their semantic content and ways of transformation into symbols. Similar processes of object symbolization occur due to the number of images laid down by the author, perceived from different angles of view, and can carry different meanings that complement each other.&#x0D; The study and analysis of several examples of works of visual art suggest that the quantum-semiotic method of forming and perceiving the image of objects (works) can be considered an organic part of the highest scientific and theoretical approach, namely the synergetic one, which, among other things, makes it possible to choose key points of human knowledge of the world. Thanks to the ability of a human creator - a scientist or a practitioner - to go beyond the facts of cognition and use interdisciplinary methods in their work, in particular quantum-semiotic methods, viewers are allowed to perceive the multi-layered world around them, as well as imagine its multifaceted parallels in their minds. Thus, the studied facts form ideas and concepts, and in general create messages that can only be understood by the sender and a specific recipient, or by all of humanity.&#x0D; The paper emphasizes the need to introduce the concept of "quantum semiotics" into scientific circulation in the field of design, architecture, and art through the proposed quantum semiotic method; features and strategies for the development of quantum semiotics in design, architecture, and art, as well as its application in theory and practice, are considered.
A LINEAR MODEL FOR DETERMINING THE OPTIMAL TILT ANGLE OF SOLAR COLLECTORS

Solar energy is transformed into electricity and thermal energy mainly by photovoltaic modules, and thermal collectors. To get the maximum energy throughout the year by these solar collectors, it is important to install the collectors in the correct (optimal) tilt angle from horizontal. There are different models for the determination of the optimal tilt angle of solar collectors. In this study, for practical use, the simple linear model for determining the annually averaged optimal tilt angles of solar collectors for any country in the world (for Northern and Southern hemispheres) are derived. In the proposed model, both the direct and diffused components of solar radiation are considered. The simple linear formula for the determination of year-round optimal tilt angles in Armenia or in any country with latitudes from 38 to 42 degrees of Northern hemisphere is also proposed. With the use of the proposed simple linear model the annually optimal tilt angles of solar collectors for the main cities of Armenia are determined. The obtained data are in excellent correlation with the results obtained by other accurate models. The proposed simple linear formulas can be successfully used to determine the optimal tilt angles of solar collectors.
The Effect of Implementation of Portfolio Assessment on The Achievements of Pre-Writing Development of Children Aged 4-5 Years at The Character and Education Center Kindergarten Pekan Tolan T.A 2021/2022

Pre-writing is the most basic stage of writing skills.The development of prewriting achievement is expected to be known early on.An appropriate assessment method is needed to see these developments.In the world of education, portfolios are used to see the progress of students from time to time based on a collection of learning activities.This study aims to see how portfolio assessment has an influence on the development of pre-writing achievement.The research method used is qualitative research.The research was conducted at the Character and Education Center of Pekan Tolan Kindergarten.The research subjects were children in Group A totaling seven people.The results of the study indicate that portfolio assessment has a positive impact on the process of monitoring the development of pre-writing achievement, where with the use of portfolio assessment, the development of children's pre-writing achievement can be well known
THE ISSUE OF CREATIVE ACTIVITY EVALUATION AT THE ART LESSON

The relevance of the study. The paper is devoted to the study of the creative activity evaluating problem. The subject of the study is the evaluation criteria. At present, it seems obvious that there is a need to systematize and structure knowledge in the field of theory and methods of teaching fine arts.&#x0D; In particular, special attention should be paid to the problem of evaluating students’ works in the fine arts lesson. Despite the fact that the Federal State Standard of General Education sets requirements for the development of the basic educational program, the question of the correct assessment of the creative activity of students remains open for modern teachers.&#x0D; In this regard, the purpose of this paper is to study the specifics of evaluating creative activity and its results in a fine art lesson at school.&#x0D; Results and discussion. The classical five–point assessment system is not fully sufficient in fine art lessons, therefore, an internal one–hundred-point assessment system should be included, which would clearly indicate strengths and weaknesses of each student.&#x0D; Conclusion. The assessment of students’ creative achievements is a multifaceted process that requires taking into account a number of students` characteristics and the clear and consistent understanding of the criteria apparatus.
THE EFFECT OF SMALL GROUP DISCUSSION METHOD ON STUDENT’S READING COMPREHENSION FOR THE STUDENT ELEVENTH GRADE SENIOR HIGH SCHOOL

AbstractThis research aims at seeing the effect of the Small Group Discussion Method on Student’s Reading Comprehension in the level of XI Senior High School. The form of this research is library research. This research was done by analyzing three research journals on the Small Group Discussion Method. The researcher uses three reserch relevant journals from Darise with pre-Experimental research design, Noorhaya Sari using pre- Experimental research design, and Nur Indah with Pre-Experimental design. All the data sources taken from online resource. After the researcher analzing the data, the researcher found that, from Nilma Darise, the data showed Ho was rejected and H1 was accepted because the t-ratio value was higher than the t-critical value (3.76&gt; 2.00). Nur Indah t ratio value is also higher than the t- critical value (9.30&gt;1.72). Noorhaya Sari). Then, t- ratio value is higher than t-critical value (10.270 &gt; 2.032). Apart from different techniques and samples of the analysis, all the resources show that the Small Group Discussion is able in improving student’s reading comprehension. In the other words that Small GroupDiscussion Method on Student’sReading Comprehension affect significantly to the Student’s Eleventh Grade Senior Highschool.Keywords: Reading Comprehension, Small Group Discussion Method
INVESTIGATING ENGLISH TEACHERS’ DIGITAL LITERACY IN THE CONTEXT OF ONLINE LEARNING

In particular cases, teachers still strugle to find valid content of material in the internet, it is because teachers lack comprehending about digital literacy. While education policy has fliped the teaching learning process to online learning based, the use of technology has increased significantly. As a result the ability to search, allocate and evaluate the information in the internet is a crucial thing to be acquired by the teachers. Therefore, this research aims to reveal teachers’ levels of digital literacy and to find out what support teachers need to increase their digital literacy. This research was qualitative descriptive, gathering data through the interview with six teachers at two senior high school in Mataram. The result of the study showed that teachers have a medium level of digital literacy. Teachers’ digital literacy levels involve four aspect of digital literacy competencies which is the ability to use digital tools, know its purposes, and able to operate it even in a complex way. In addition, the researcher also found the support that can increase teachers’ digital literacy include; (a) teachers’ development where teachers need to involve themselves in training and self development, and (b) the facilities/resources such as computer, laptop and internet connection.
Modeling Latent Dimensions of Human Beliefs

How we perceive our surrounding world impacts how we live in and react to it. In this study, we propose LaBel (Latent Beliefs Model), an alternative to topic modeling that uncovers latent semantic dimensions from transformer-based embeddings and enables their representation as generated phrases rather than word lists. We use LaBel to explore the major beliefs that humans have about the world and other prevalent domains, such as education or parenting. Although human beliefs have been explored in previous works, our proposed model helps automate the exploring process to rely less on human experts, saving time and manual efforts, especially when working with large corpus data. Our approach to LaBel uses a novel modification of autoregressive transformers to effectively generate texts conditioning on a vector input format. Differently from topic modeling methods, our generated texts (e.g. "the world is truly in your favor") are discourse segments rather than word lists, which helps convey semantics in a more natural manner with full context. We evaluate LaBel dimensions using both an intrusion task as well as a classification task of identifying categories of major beliefs in tweets finding greater accuracies than popular topic modeling approaches.
Particle Swarm optimization-based Neural Network method for predicting satisfaction of recipients of internet data quota assistance from the ministry of education and culture

The free quota assistance program for students and lecturers is an assistance program provided by The Ministry of Education and Culture. This program has been implemented since the spread of the covid-19 pandemic in all regions of Indonesia. This assistance is expected to help students and lecturers carry out online learning caused by the pandemic covid-19. This study aims to predict the satisfaction level of the users so that it can help the government in advancing education. The data processing is carried out using the rapid miner application and the neural network method with particle swarm optimization. From the results of data processing, the accuracy value for the neural network algorithm model is 42.44%, and the accuracy value for the PSO-based neural network algorithm model is 91.86%.
A Survey on Web Phishing Detection Techniques

The primary goal of website phishing is to obtain secret information i.e. passwords, account numbers, credit card details, etc. Web-phishing is used to deceive users, normally carried out through sending links using spoofed emails, instant messages etc. However, web-phishing detection is a challenging task. A number of techniques and mechanisms has been proposed for the detection of web-phishing. The aim of this study is to analyze different web-phishing detection techniques. Web-phishing techniques are characterized into machine-learning (ML) based, Heuristics-based, Blacklist/whitelist based and visual-based. A comparative analysis of these aforementioned categories has been done in this research based on their detection accuracy, performance, usability, and scalability. The research also identifies the advantages and limitations of web-phishing detection techniques
Sistem Pakar Kelayakan Perizinan pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Menggunakan Metode Forward Chaining

Efforts to increase investment in the regions need to be carried out with intensification and extensification activities, improving the implementation of excellent services through the formulation of strategic planning. Policies in the investment sector are basically aimed at increasing the ability of the regions to invite investors to enter the city of Medan. So far, the process of granting permission is by registering by filling out the form and uploading the required files, then the team will verify the files manually, this kind of work is considered less effective because it takes quite a long time. Likewise, the central government often changes regulations related to financial management, licensing, investment-related aspects, so that the regions must immediately adapt to the new regulations. The system process that uses the forward chaining method is by solving problems that are tracked based on existing facts until conformity is found based on the Rules that are formed until conclusions are found. The research that has been done can be concluded that the Expert System using the forward chaining method which is applied to the system in determining the feasibility of licensing is good enough to be applied because it can help the community, the investment office in determining the feasibility of the proposed business through the system. This expert system also provides information on recommendations for improvement to people who submit but are not yet eligible, so that they can easily adjust the conditions, facilities, and other supports to the standards made by the government.
The Effectiveness of Discovery Learning Method on Reading Descriptive Text at Eighth Grade of SMP Diniyah Al Falahiyah Lamongan

This researcher measures the effectiveness of discovery learning on reading descriptive text at eight grades of SMP Diniyah Al Falahiyah Lamongan in academic 2020/202. The discovery learning method strategy works for the students' mental, easy to interact (actively) and new information independently. The method of the research utilized a quantitative experimental method by using a pre-experimental design. Conducted the sample of the study was at VII-A class with 30 students. The instrument of collecting data used try-out and test (pre-test and post-test). The test had utilized to know students' abilities before and after the experiment run. The result of the research showed the mean score in the pre-test was 57.33, and the post-test was 74.50. The result was that the post-test was higher than the pre-test. The analysis using the SPSS based paired sample t-test formula produces a significance value of sig. (2-tailed) had 0.000 at the critical value for the 5% level (0.000 &lt; 0.05). The obtained t-test had -21.908, and the t-table was 2.042. So, the test score was higher than the t-table (-21.908 &gt; 2.042). It means rejected Ho and Ha is accepted. It can conclude that the discovery learning method has significant and effectiveness to reading descriptive text.