Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF EMOTIONAL STABILITY OF A FUTURE MUSIC ART TEACHER IN VOCAL CLASS

The author of the article reveals the problem of developing the emotional stability of future music art teachers in high school. It has been determined that the specified problem is relevant for the profession of a musician, which requires endurance both while learning musical pieces and when performing them in public. Analyzing the source base, the author defines the concept of "emotional stability" as a component of emotional intelligence, which is a personality quality, formed in conditions of extreme activities. It implements through emotional intellect of a personality and provides a person's ability to succeed, withstand significant intellectual, volitional and emotional stress, and at the same time to maintain the state of psychophysical balance. According to V. Dryndin's research, the following factors determine the state of a musician's stiffness: lack of a performer’s mental mobilization skills; insufficient formation for public performances; the influence of high personal anxiety and, as a consequence, reduced emotional stability; uncertainty if the performance program is memorized by heart well enough; the effect of a fixed reflex to the inevitable fright before the performance and its negative impact on performance; targeting of the internal attitude at self-esteem of one's own personality instead of performing a piece in the required manner; lack of self-regulation skills (the presence of shyness, inability to manage one’s own emotional state); awareness of manifestation of negative emotions (hand tremors, palpitations, sweating, sluggishness or tension of a performer’s apparatus, etc.). That is why, development of self-control will help to regulate the mental state of a musician and create a musical image under the control of his or her consciousness. Also in the process of training a vocalist for public performance it is important to learn the language of emotions and the ability to be emotionally expressive in speech and singing. Emotions in singing affect the density and brightness of voice timber, vocal position, resonance, nuance and kind of singing vibrato, semantic intonation, activity of articulatory organs and the way of sound production. Therefore, each emotional state of a performer is embodied in the unity of a complex of acoustic features and effective expressiveness. Thus, the professional becoming of a future musician in the process of vocal training is impossible without the engaging of emotional sphere and developing a high level of emotional stability, since emotional experiences while performing musical pieces affect the psychophysiological state of a musician.
Design and implementation of a new encryption algorithm in MATLAB for multimedia files

Transmission of digital content has increases tremendously these days. Privacy and security of the transmitted data has become an important concern in multimedia applications because multimedia data has been an essential part of our lives, from instant messaging applications to social media. For security of the data we use different techniques like cryptography, steganography, and scrambling. Cryptography is one of the main techniques used for information security which includes many forms like digital signatures, authentication etc. and performs system security, confidentiality, data integrity and other functions. This paper works on dual layer security systems using (Elliptic-Curve cryptography) ECC and (Modified Advanced Encryption Standard) MAES called EMAES on Multimedia files (Text, Audio, and Video). Using this approach, unauthorized viewing of the multimedia file can be prevented. Also, this algorithm provides a high level of security and efficiency as compared to existing ones. Comparison of results with other algorithms using parameters like SSIM, FSIM, PSNR and execution time shows that all these parameters are improved 20% or more. The implementation is carried out in MATLAB 2018a.Keywords: Cryptography, RSA, ECC, AES, MAES, IDEA, hybrid algorithm, EMAES.
The Effectiveness of STEM-Based Android-Based Learning Media on Students' Critical Thinking Skills

PISA data shows that the critical thinking skills of 21st century students are still at a low level. The 21st century requires students to be able to integrate technology in learning activities. Android-based learning media is an alternative learning media that is integrated with technology. Science, Technology, Engineering, and Mathematics (STEM) is an integrative approach that can improve critical thinking skills. This study aims to analyze the effectiveness of Android-based learning media with the STEM approach to improve students' critical thinking skills. The study used Research and Development (RD) method, namely introduction, media validation, and media testing. The subject of this research is class X vocational school majoring in motorcycle engineering and business. Data collection techniques used research instruments with quantitative data analysis. The data collection instrument was given through a written test in the form of essay questions that included aspects of critical thinking skills. The results of this study indicate that the results of the n-gain mean the pretest and posttest values was 0.77 with high criteria. Aspects of critical thinking skills that make a major contribution were aspects of evaluation and conclusion. Based on the results of the study, it can be concluded that Android-based learning media with the STEM approach is effective in improving creative thinking skills.
A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions

Span extraction is an important task of machine reading comprehension (MRC). Traditionally, for a question, the answer is expected to be a single text span from the given context. However, in practice, the answer to a question may exist in multiple spans. Besides, multiple answers to a question may be of different granularity and hierarchically related to each other. In this paper, we propose a simple but effective pipeline to solve the hierarchical multi-answer questions with conditions, an evaluation task introduced in CCSK 2022. The pipeline mainly contains two components: the answer span detection and relation classification. Answer span detection focuses on finding multiple answer spans while relation classification aims to determine whether there is a relationship between two answers. In addition, some helpful strategies are also introduced. Finally, our pipeline achieved an F1 score of 0.759 on online testing data and ranking second among 181 teams.
Mobile Learning of Language for Specific Purposes: From Course Design to User Testing

This chapter presents the whole process of learning a language for specific purposes (ls p) on a mobile device.First, a general approach to developing an lsp course for the mobile context is described.Then, the web and mobile applications developed for this purpose are presented.The proposed learning approach is thoroughly evaluated through unmoderated remote usability testing of the mobile app conducted over a period of one month.Following the testing phase, an extensive anonymous questionnaire is completed, which includes sections on user demographics, user experience with the mobile app, specifics of the learning approach, and language-specific user experience.Finally, the answers to the questionnaire are analysed and a conclusion is drawn.
Research on Postgraduate Innovative Ability Training of Ternary Transformation, Triple Fusion and Third Order

The postgraduate practice innovation system has still some problems with innovative content, mentor guidance and innovation methods.This paper proposes a postgraduate innovation ability training system, named Ternary transformation and Triple fusion and third order with the goal of enhancing the ability of research, practice and innovation to cultivate high-level applied professionals under the background of science and education integration.This system establishes a diversified training model for students to participate in course production, individualized comprehensive training and scientific research projects, and builds a practical subject system that integrates scientific research and teaching achievements into a multi-disciplinary cross-integration subject.It further proposes a three-stage progressive training system covering basic experimental ability, professional practice ability and scientific research innovation ability.With the help of the diversified practice carriers, the postgraduate practical innovation ability is comprehensively improved, which promotes the cultivation of a new generation of information technology professionals for national development.
A comparison of sound transmission of middle ear prostheses manufactured via SLM

Middle ear surgeries involve Total Ossicular Replacement Prosthesis (TORP) or Partial Ossicular Replacement Prosthesis, where all or some of the three ossicle bones are replaced. Current prostheses are dissimilar to the natural ossicles in geometry, size and only recover up to 75% sound transmission. Additive manufacturing offers complex, near-net shape geometries that allow for patient specific implants. A novel design is used to manufacture a TORP in Ti6Al4V(ELI) via Additive Manufacturing. The sound transmission level of the of the additively manufactured titanium prosthesis was measured by laser doppler vibrometry and compared to that of a Silver additively manufactured prosthesis. The sound transmission level of the additively manufactured prostheses are also compared to that of the international standards and literature using this method.
Mobile Learning for Manually Coded Malay Sign Language Using Augmented Reality

lagging in education as compared to their hearing peers. This can affect their communication skills and affect their academic achievement. However, the existing applications developed for sign language education have a few drawbacks, such as only consisting of a Learning Module, and the media used was only learning videos. Hence, the Mobile Learning for Manually Coded Malay Sign Language using Augmented Reality (KTBM AR) is developed to provide users with Learning and Activity Modules where users can interact with and test their knowledge. Not only that, but KTBM AR also included Augmented Reality (AR) as an interactive learning medium to engage users more in learning. The methodology used in developing this application is the ADDIE model, which comprises five main phases: analysis, design, development, implementation, and evaluation. The result from testing shows that the application was successfully developed with a range of 94% acceptable according to the System Usability Scale (SUS). Thus, it can be concluded that KTBM AR is suitable to be implemented in sign language learning.
PSYCHOLOGICAL AND PEDAGOGICAL PROFILE OF MODERN SCHOOLCHILDREN AS DIGITAL NATIVES

The article analyzes the characteristics of digital generation — a changing stu-dent profile in an uncertain world. Based on the cultural and historical approach and the theory of generations, we have attempted to reconstruct the psychological and pedagogical profile of modern schoolchildren as digital natives. The article summarizes the scientific facts about the influence of information and communication technologies on different spheres of a children's life. We have divided the considered changes into four groups that characterize the digital socialization of schoolchildren: higher mental functions, mecha-nisms of personal development, forms and means of communication with others, cultural and social practices. When studying the influence of digital technology on the develop-ment and behavior of students, we have mainly used a non-evaluative approach, and con-sidered many phenomena as a given with its own specifics. An analysis of the changes makes it possible to reconstruct a new psychological and pedagogical profile of school-children and will stimulate the search for new ways to solve a wide range of problems in upbringing and teaching, including the historical education.
Simplification and Accurate Implementation of State Evolution Recursion for Conjugate Gradient

This letter simplifies and analyze existing state evolution recursions for conjugate gradient. The proposed simplification reduces the complexity for solving the recursions from cubic order to square order in the total number of iterations. The simplified recursions are still catastrophically sensitive to numerical errors, so that arbitrary-precision arithmetic is used for accurate evaluation of the recursions.
Penerapan Model Pembelajaran Kooperatif Tipe Pair Check untuk Meningkatkan Keterampilan Menulis Puisi Siswa Kelas X SMA Negeri 2 Samalantan

This research is motivated by the low score of students' writing. This research is focused on analyzing the material of poetry building elements using a pair check type cooperative learning model. This research model is descriptive with a qualitative form. This research was carried out in 2 cycles. Each cycle is carried out 1 meeting. The procedure for implementing this research consists of planning, action, observing and reflecting on the results of the activities. The percentage result in the implementation of learning cycle 1 is 69.07% and in cycle 2 is 73.68%. There is an increase in the results of the implementation of learning as much as 4, 61%. Furthermore, the achievement of student learning outcomes in cycle I the average value is 71.19%, in cycle 2 it reaches 84.28%. There is an increase in the achievement of student learning outcomes as much as 13.09%.
Pengaruh Metode Pengukuran Jarak pada Algoritma k-NN untuk Klasifikasi Kebakaran Hutan dan Lahan

Forest and land fires are a serious and recurring problem in Indonesia. The high intensity of forest fires is caused by the distribution of hotspots in fire-prone areas. One of the efforts to prevent and minimize the risk of forest fires is to identify the types of hotspots using a classification approach. One of the most popular classification algorithms is k Nearest Neighbor (k-NN). The algorithm uses a distance calculation approach in classifying objects. The purpose of this study is to classify the types of hotspots scattered in Indonesia using the k-NN algorithm and to analyze the effect of the distance calculation method on the k-NN algorithm. The types of distance measurement methods analyzed include Euclidean, Canberra, Chebyshev, and Manhattan. The dataset used is the distribution of hotspots in Indonesia obtained from Global Forest Watch (GFW). The study designed a dataset with two conditions, through the pre-processing stage and not. In general, the model accuracy of the k-NN combination with various distance measurement methods is above 90%. The pre-processing stage can increase the model's performance 1-8 times. The combination of k-NN with Manhattan is the best choice to identify the types of hotspots with an accuracy of 92.6%.
Arduino for Developing Problem-Solving and Computing Competencies in Children

Fostering children's problem-solving and computational programming competencies is crucial at the current time.Like in other in-developing nations, children grew up with technology in Chile.Developing programming and problem-solving competencies in children seems a reachable task using high-level block-based programming languages.However, programming and electronics competencies often emerge at higher educational levels.This article presents that using Arduino can enhance the development of programming and problem-solving competencies in children and encourages them to think in new ways.This article uses TinkerCAD, an online emulator of Arduino, to teach fundamental electronic circuits and computer programming components.Using TinkerCAD effectively addresses various computing and electrical difficulties, such as turning on and off a group of lights and reading sensors to respond to the acquired values.This article seeks to develop problem-solving and computer programming competencies in primary school students, given the significance of both competencies, the open nature of Arduino, and the applicability of TinkerCAD, which permits using a block-based programming language.Children that took part in the trial saw an increase in their academic performance on average, which is a critical concomitant finding.The essential drawbacks of this project were the children's lack of knowledge of electronics and programming principles and the need to use a computer with an internet connection.
Analyzing Price Deviations in DeFi Oracles

Decentralized Finance (DeFi) promises to transform the traditional financial systems into fair and transparent protocols that do not require trusted third parties. To circumvent the high volatility of crypto-assets, DeFi protocols advocate collateralizing their assets against conventional financial instruments. To do so, these protocols require access to external or off-chain data, such as asset exchange rates. DeFi protocols rely on oracles to access such information. Importing external data onto the chain via oracles consists of multiple data processing and aggregation stages. Thus, it is critical to minimize errors or deviations while the ground truth data moves through these stages. In this paper, we investigate the degree of price deviations at different levels between the data source and the final output rendered to an on-chain requester. In particular, we focus on Chainlink’s oracle network for ETH-USD pricing. Our results show that despite checks and balances, the output rendered to the requester considerably deviates from data reported by the sources.
The Moderating Role of Financial Constraints in the Influence of Environmental Sustainability Reporting on the Stock Returns of Firms Listed on the Tehran Stock Exchange

Stock return demonstrates the efficiency of a firm in creating net interests for the shareholders in return for their investment in firm stocks and is influenced by various factors. The present study seeks to investigate the impact of Social Performance Reporting on stock returns considering the moderating role of financial constraints. The present study used data from firms listed in Tehran Stock Exchange selected through purposive sampling over 2012-2019. The present study is applied in terms of the research objective, and multiple regression has been used for data analysis. The Kaplan and Zingales (1997) model has been used to estimate financial constraints in this study, given the current practice in previous domestic and foreign research. Results indicated that Social Performance Reporting had a significant and positive influence on the stock returns of firms listed on the Tehran Stock Exchange. Besides, results demonstrated that financial constraint played a negative moderating role in the relationship between Social Performance Reporting and the stock returns of firms listed in the Tehran Stock Exchange.
Intelligent Story Architecture for Training (ISAT)

The Interactive Story Architecture for Training (ISAT) is designed to address the limitations of computer games for advanced distributed learning (ADL) and to fully realize the potential of games to become engaging and individualized training environments. The central component of the ISAT architecture is an intelligent director agent responsible for individualizing the training experience. To achieve this, the director tracks the trainee's demonstration of knowledge and skills during the training experience. Using that information, the director plays a role similar to that of a schoolhouse trainer, customizing training scenarios to meet individual trainee needs. The director can react to trainee actions within a scenario, dynamically adapting the environment to the learning needs of trainee as well as the dramatic needs of the scene.
STUDENT BEHAVIOR REFLECTION ON ONLINE LEARNING IN WETON PERSPECTIVE

This study aims to find and analyze the meaning of online learning according to the reflection of student behavior based on Weton. With a qualitative approach, this study collected data from 5 students. The results showed that student A (Monday Wage) interpreted the practice of online learning as an effort to beautify traditional learning, while student B (Monday Pon) interpreted it as violating obligations between teachers and students, Student C (Tuesday Pahing) interpreted it as a mere technique, Student D (Thrusday Legi) considers it a challenge, and Siswa E (Wednesday Pon) considers online learning to be a burden for teachers. The behavior of student A does not reflect his character, while the behavior of students B to E reflects his character. The condition of the family environment, the school environment at the previous level, experience, and always positive thinking are factors that influence the formation of his character.
A Proposal of an Experimental Method for Quantifying Impressions Using Visual Analog Scale

Various studies have been conducted on impression evaluation, but most measurement methods are stepwise. We are studying impression evaluation using the Visual Analog Scale (VAS) instead of the Likert Scale (LS), which is a stepwise evaluation. Because VAS expresses subjective information at a single point on a straight line, it is generally a higher resolution measurement method than the step method. This paper reports a video content impression evaluation conducted using VAS. This experiment collected 64 responses from students in Singapore and 71 responses from students in Japan. This experiment is unique because we performed an automatic EDA (Exploratory Data Analysis) on the data, profiled the students using cluster analysis, and used linear regression to build a predictive model. We also tested seven levels of the Likert scale vs VAS. The predictive results were better than expected but not sufficiently accurate.
ПОБУДОВА ФРАКТАЛЬНОГО ЗОБРАЖЕННЯ ТИПУ «КАНТОРІВ ПИЛ», З ВИКОРИСТАННЯМ РАНДОМІЗОВАНОЇ СИСТЕМИ ІТЕРАЦІЙНИХ ФУНКЦІЙ

The article examines the results of the development of an algorithm for determining the number of pixels of a fractal image of the "Fractal dust" type (Cantor's set) created using resolution-limited RSIF. Mathematical formulas and schemes for calculating the number of pixels of the fractal image and the number of iterations of the RSIF fractal have been derived. This algorithm consists in finding formulas depending on the number of figures of the first iteration, similarity coefficients, and resolution. This makes it possible to determine the number of pixels for an existing fractal image with different resolutions. The calculation algorithm does not use the entry of a loop into a loop and recursive functions, and is quite optimized, which allows without spending a lot of computing power. The use of formulas in the future will make it possible to determine the number of random events (stochastic movement of a point), to ensure the quality of the reproduced image using RSIF, will make it possible to form an initial data set for neural networks, which will form the basis of object recognition.
The Effect of Cake Applications on English Learning Outcomes of Class X Students of SMKS Muhammadiyah Sidrap

This study aims to determine the effect of Cake application on English learning outcomes of class X SMKS Muhammadiyah Sidrap. This research was conducted at SMKS Muhammadiyah Sidrap in July 2021. This research is a quantitative study using the True Experimental Design method. The population in this study were students of class X SMKS Muhammadiyah Sidrap. The class was divided into 2 groups, namely the control group with 14 students and the experimental group with 15 students. Each research group uses a different learning method. The control group learns using the lecture method, while the experimental group learns using the Cake application. Data collection techniques in this study were in the form of multiple choice tests. The data analysis technique is in the form of t-test. The result of this study is that the experimental group is larger than the control group, so it can be concluded that H0 is rejected and Ha is accepted.