Reviewerly/exHarmony huggingface dataset:
COMPUTATIONAL TURBULENT COMBUSTION IN THE AGE OF ARTIFICIAL INTELLIGENCE AND QUANTUM INFORMATION

The impact of high-performance computing on the society has been enormous, but it is easy to be taken for granted.In today's world, it is virtually impossible to imagine system design or major decision making not aided via predictive modeling and simulation.Now that we are experiencing the Data Revolution and the emergence of the Second Quantum Revolution, it is wise to consider both of these elements in computational science and engineering.Data-driven modeling approaches and demonstrated speed-ups of quantum algorithms have the potential to transform scientific discovery.This will affect the fabrics of industrialized societies in diverse disciplines.A research arena which can substantially benefit from these technologies is combustion.This field has been the subject of heavy computational research for many decades now.In this review, some examples taken from the previous works of the author are presented to demonstrate how the field of computational turbulent combustion is benefiting from modern developments in machine learning (ML) and quantum computing (QC).
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)

Domain generalisation (DG) methods address the problem of domain shift, when there is a mismatch between the distributions of training and target domains. Data augmentation approaches have emerged as a promising alternative for DG. However, data augmentation alone is not sufficient to achieve lower generalisation errors. This project proposes a new method that combines data augmentation and domain distance minimisation to address the problems associated with data augmentation and provide a guarantee on the learning performance, under an existing framework. Empirically, our method outperforms baseline results on DG benchmarks.
Consistent Pitch Height Forms: A commentary on Daniel Muzzulini's contribution Isaac Newton's Microtonal Approach to Just Intonation

This text revisits selected aspects of Muzzulini's article and reformulates them on the basis of a three-dimensional interval space E and its dual E*. The pitch height of just intonation is conceived as an element h of the dual space. From octave-fifth-third coordinates it becomes transformed into chromatic coordinates. The dual chromatic basis is spanned by the duals a* of a minor second a and the duals b* and c* of two kinds of augmented primes b and c. Then for every natural number n a modified pitch height form hn is derived from h by augmenting its coordinates with the factor n, followed by rounding to nearest integers. Of particular interest are the octave-consitent forms hn mapping the octave to the value n. The three forms hn for n = 612, 118, 53 (yielding smallest deviations from the respective values of n h) form the Muzzulini basis of E*. The respective transformation matrix T* between the coordinate representations of linear forms in the Muzzulini basis and the dual chromatic basis is unimodular and a Pisot matrix with the dominant eigen-co-vector very close to h. Certain selections of the linear forms hn are displayed in Muzzuli coordinates as ball-like point clouds within a suitable cuboid containing the origin. As an open problem remains the estimation of the musical relevance of Newton's chromatic mode, and chromatic modes in general. As a possible direction of further investigation it is proposed to study the exo-mode of Newton's chromatic mode
Pengembangan Koleksi e-Heritage Surabaya Memory di Perpustakaan Universitas Kristen Petra Surabaya

Development of Surabaya Memory e-Heritage Collection in Surabaya Petra Christian
Mathematical support for solving the classification problem using neural network algorithms

The article considers the problem of increasing the efficiency of solving the classification of an unknown object in a neural network algorithm in the case of a data set. In such cases, it is important to select the number of neurons in the neural network layers and adjust the parameters to redistribute the errors. The mathematical apparatus and algorithm of the neural network in solving the classification problem are given in detail, and the results are analyzed using model problems.
Penerapan Model Discovery Learning untuk Meningkatkan Motivasi dan Hasil Belajar Siswa Kelas IV SD Negeri Kalinongko

This study aims to determine whether there is an increase in student motivation and learning outcomes by applying the Discovery Learning model in social studies for grade IV SD Negeri Kalinongko for the 2020/2021 academic year. This research was conducted in November 2020. This research is a Classroom Action Research (PTK). The subjects in this study were all 11 students of grade IV. Collecting data in this study using observation sheets, interviews, test results and evaluation, questionnaires and documentation. The data analysis used was descriptive qualitative and quantitative analysis. The research was conducted for 2 cycles and ended in cycle 2 with the results of the analysis showing that the application of the Discovery Learning model can increase student motivation and learning outcomes. The results of the analysis of student learning motivation reached 77% in the "Good" category and the results of the analysis of student tests and evaluations reached 93% so that these results have reached indicators of success.
Informativity assessment and attributes selection in a computer system state identification

The subject of the article is a study of methods of determining the informativeness of attributes. The aim of the article is improvement of the classification quality of a computer system state by selecting the most informative features. Objective: To explore methods for selecting optimal information features to identify a computer system state based on an analysis of the Windows operating system events. The methods used are: machine learning methods, ensemble methods, methods of selecting the optimal information features. The following results were obtained: analysis of the Windows operating system events was performed, methods of selection the optimal information features were investigated: wrapper methods (Wrappers), embedded methods (Embedded) and filter methods (Filters). The informativeness assessment and selection features were performed for identifying a computer system state. An ensemble method for classifying a computer system state based on a bagging and J48 decision tree was developed to evaluate the effectiveness of selected features. The dependency of the classification accuracy of a computer system state on the selected features was investigated, and the attributes set that provides the maximum classification accuracy of a computer system state was determined. Conclusions. The scientific novelty of the results is in the analysis of the Windows operating system events, assessment of their informativeness and selection of features in the identification a computer system state.
The Development of Android Application-Based E-Module Learning Media on the Makassar Flute Learning Material for Year 8 Junior High School Students

This study aims to develop an Android application-based e-Module on the Makassar Flute learning material for Year 8 junior high school students.The development of e-Module learning media based on android application is an alternative in the use of technology.Essentially, the commonly used sources and learning media are in the form of physical books, but with advances in technology, learning media can be presented in digital form.The development model refers to the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model developed by Dick and Carry.However, in this study, it is limited to only three stages, namely ADD (Analysis, Design, Development).The development process at this stage starts from the Analysis stage by conducting needs analysis, student character analysis, analysis of hardware and software, and analysis of basic competencies.The second stage is the Design stage, which is the preparation of the flowchart and the preparation of the e-Module material and content.Then the next stage is the Development stage, in which the learning media production is carried out using the Corel Draw X4 application, which is subsequently converted to an Android-based application by utilizing the Appsgeyser application.The development of this Android-based e-Module learning media can serve as an option for the use of culture and art learning media, especially in the material of traditional musical instruments.
Gamesy

Games have existed since time immemorial and have proved to significantly change people's mentality and attitudes towards countless scenarios. Although games are ‘time wasters', we should acknowledge the one thing that games offer, constant testing, and learning a simple game engages the brain and proves that games are an asset in mental development. Thus, gamification can be used to provide a fun learning environment. In this article, the authors discuss how gamification has been implemented in various applications over the years, people's take on gamification and gamified apps from a survey and interview conducted, and thereafter design a student-oriented gamified study app, Gamesy, that makes use of game elements to improve performance in school and change/improve study habits in a game environment via progressive game design. With this, better performance may be realized in the tertiary education level.
Analysis of Fuzzy Based Directional Median Filter with Mixed Noise

All the sources of digital images like camera as well as communication methods like wireless or wired communication leads to corruption of pixels of digital image. Usually digital image consists of values from 0 to 255 where 0 represents black pixel and 255 represents white pixel. Due to above sources and communication method, these pixels change there value which leads to change in the output values. Mixed noise is popular now a day which is a combination of Gaussian noise and salt &amp; pepper noise. Median filters are popular in removing the noise from the digital images. Fuzzy based controllers are very popular now a day to solve issues better than others. In this paper, we have discussed fuzzy logic, median filter and directional median filter to remove the corrupted pixels out of digital image. Parameters like PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) are used for qualitative analysis of filter.
Setting up a division of HBP surgery at a local university hospital

Lecture: Dear members and colleagues, it is my great honor being the president of our society, Korean Association of HBP
RELATIONSHIP BETWEEN PSYCHOLOGICAL FEATURES OF PERSONALITY AND DECISION-MAKING STYLE IN PROFESSIONAL ACTIVITY

Third year student, D. I. Fedorenko D. I. Relationship between psychological features of personality and decision-making style in professional activity / Kyiv National Economic University named after Vadym Hetman, Ukraine Kyiv. The article reveals the content of the concept and theoretical approaches to the selection of decision-making styles in professional activities. The psychological features of the personality that determine the choice of a certain style of decision making are considered. The results of an empirical study of the relationship between psychological characteristics of personality and decision-making style in professional activities are highlighted.Key words: decision-making style, psychological features of personality, locus-control, internality, externality, tolerance to uncertainty, intolerance to uncertainty, vigilance, avoidance, hypervigilance, procrastination.
Increasing the information competence of teachers in Yakutia rural schools through professional development courses

The research goal is to consider the process of developing the information competence of teachers in rural schools in Yakutia required for remote teaching during the pandemic. The main research methods are the method of expert assessments and statistical processing of quantitative research results. Over 600 teachers from 32 uluses of the republic took part in the experiment and did the professional development courses. The overwhelming majority of schools in Yakutia are rural (over 70%), since they are located in rural settlements. The authors devised the teaching methodology for increasing the information competence of teachers in rural schools. The proposed approach implies the continuity of professional development courses. The survey conducted among teachers conclusively demonstrates the need to take into account the specifics of the educational environment of rural schools while developing the information competence of teachers during the pandemic.
Plasma Cells Leukemia Masquerading as Lymphocyte-Monocyte Peak on Automated Cell Analyzer

Background: Peripheral blood plasmacytosis can be seen in plasma cell leukemia (PCL) or plasma cell myeloma (PCM).As plasma cells show dysplasia or lymphocytoid morphology, they masquerade as monocytes or high fluorescent lymphocytes (HFL) on automated cell analyzer.The early suspicion and detection are of clinical importance for diagnostic and prognostic reasons.Methods: Automated cell analyzer was used for routine CBC examination.Peripheral blood smear examination was performed for enumeration and characterization of cells in peripheral blood followed by bone marrow examination and ancillary techniques.Conclusion: Lymphocyte-Monocyte peak with increased high HFL count on CBC should prompt a smear examination of the peripheral blood for circulating plasma cells and immunohistochemistry markers like CD38, CD138, CD56 should be used to establish the clonality in cells.
Experimental research on continuous variable quantum key distribution in fiber channel

The use of quantum key distribution for encryption to realize the secure transmission of information is a research hotspot in the field of secure communication. In theory, it has a high degree of security with quantum mechanics as a guarantee. In particular, continuous variable quantum key distribution has the advantages of simple quantum state preparation, relatively high key rate and low detector cost, so it has attracted wide attention from all over the world. However, the continuous variable quantum key distribution will be affected by factors such as fiber type and fiber attenuation when it is transmitted in the fiber channel. Therefore, a large number of experimental tests must be carried out in the fiber channel before the quantum key distribution device is connected to the optical network. Therefore, this paper conducted continuous quantum key distribution experiments in different lengths of terrestrial optical fiber G.652D and submarine optical fiber G.654D. Among them, the quantum key generation rate reaches an average of 10kbit/s, and the quantum error rate is within 10%. As the distance increases, the variance of the transmission coefficient and the shot noise becomes smaller and the amplitude of the excess noise fluctuation becomes larger. The negotiation efficiency is above 92.44%. The experimental results show that continuous quantum key distribution has good compatibility in both G.652D and G.654D fibers. The experimental data provides a large amount of data support for subsequent research on the access of quantum key distribution equipment to optical networks.
Overview of the Theoretical and Empirical Bases of Social Literacy Development for Adolescents

The technological developments associated with the modern era have led to dynamic social literacy changes in adolescents. This concept has led to studies on various theoretical perspectives, and its integration into the school curriculum has been encouraged by governments from several countries. However, social literacy is a complicated idea in practice because it comprises considerable theoretical, practical, and ethical challenges. Therefore, this study provides a better understanding of the social literacy complexity by summarizing the main perspectives or existing social literacy practices in the field. It also identifies key aspects in a particular concept of social literacy and explains the process associated with its formulation by several literacy educators. The results showed that educators can use an alternative approach, strategies, or learning models to develop new values, norms, and habits for adolescents in online learning situations, especially during the COVID-19 pandemic. © Common Ground Research Networks, Poerwanti Hadi Pratiwi, Sugito, Zamroni, Some Rights Reserved, (CC BY-NC-ND 4.0).
PHENOMENOLOGY OF CULTURE BY E. HUSSERL: COMMUNICATIVE AND COMPREGENSIVE EXPERIENCES

The article states the effectiveness of the phenomenological method in solving a wide range of current problems of modern socioculture, both applied and theoretical. It is substantiated that in intentional acts of consciousness the surrounding world acts as a boundary of subjectivity, as a correlate of intentional transformations of interaction of consciousness with the world. Differentiation of communicative and compregensive experience produces the necessary grounds for the interpretation of culture as a mechanism of formation in the mind of the spatial and semantic perspective of perception and understanding of the world. Based on this disposition, we have the opportunity to distinguish between the universality of ways of "capturing" the world, or the metaphysical plan of culture, and its paradigm, or historical and social conditionality. In the dialectic of these dimensions there is a dynamic of the existence of a universal horizon of subjectivity.Key words: culture, subjectivity, intentionality, communicative experience, compregensive experience, reflection.
Technology Education ofArtiGcial Intelligence Education, by ArtiGcial Intelligence, for Artificial Intelligence, shall not perish from Korea?

Background/Objectives: The Korean Ministry of Education is planning to introduce artificial intelligence education into the 2022 revised curriculum, which will be applied from 2025.To this end, it has been announced that related learning materials will be developed starting next year to expand AI education in Elementary, Middle and High school classes.To this end, it has been announced that related learning materials will be developed starting next year to expand AI education in Elementary, Middle and High school classes.It is said that high schools will be opening new AI-related courses from next year.As everyone calls artificial intelligence technology, there is no technology education anywhere else in artificial intelligence education.But this scene is very familiar.It's like watching a déjà vu.It was the same when SW education was introduced into the 2015 revised curriculum.Although SW is an area of technology, there was no technology education in SW education.As a result, technology teachers are facing big and small difficulties in the school field.But wouldn't it be possible to experience the same situation again like Deja Vu?At first, I didn't know how to suffer so far, so even if I did, I couldn't go through the same thing twice.So, what should our respected technology teachers prepare for?
SECURE SECRET KEY SHARING BASED STRONG CRYPTOGRAPHY ALGORITHM FOR EXCHANGE MEDICAL DATA BETWEEN NETWORKS WITH SECURE MANNER

Heterogeneous networks require specific security measures to guarantee security, privacy, data integrity and confidentiality of a patient’s health records at all the times. A supporting heterogeneous networks infrastructure must implement specific security operations that guarantee all of these features. Security and privacy of patient information are the two crucial features for within each Heterogeneous network. Security implies information is guarded from unauthorized users when being transmitted, gathered, processed and remains securely stored. On the other hand, privacy suggests the authority to control the gathering and usage of one’s personal information. For instance, a patient may require his details not to share among insurance companies who could use this information to restrain his/her from the coverage. More specifically, mission-critical data within a heterogeneous network is susceptible, that if leaked to unauthorized personnel could lead to several consequences for the patient such as losing the job, public humiliation and mental instability. This paper proposed Secure Secret key Sharing based Strong Cryptography (S4C) algorithm for exchange medical data between networks with secured manner, to deal with this problem. The experimental results show that the S4C algorithms provide strong cryptography and secure secret key sharing with less encryption and decryption time at healthcare environment in heterogeneous networks.
INTERPRETATIONAL MODEL OF PARTES COMPOSITIONS AS A TOOL FOR REPRODUCING THE PARTES HERITAGE IN THE REALITIES OF MODERN CULTURE

The subject of the research is the interpretative model of a partes work in the context of modern performing practice. The aim of the research is to form the style-defining components of a performance of a partes work, based on the principles of historically informed performance and practical experience of modern choirmasters, as well as the formation of a holistic model of interpretation – a tool for creating and analyzing individual performance versions. The research methodology is based on a combination of analysis and synthesis methods, the discovery of style-defining components of performance is carried out through comparative analysis, the statistical method is used when working with individual interpretative models of domestic choirmasters. The result of the study is an interpretative model of the partes work presented in the form of a cyclic matrix. The results of this study can be used in modern performing practices, in training courses on early music in specialized educational institutions, and in modern art to deepen knowledge in the field of Ukrainian baroque music. In conclusion, it was found that the main style-defining components of the model are an affect, lyrics, vocal style, and the performers. Each of the components of the model determines the embodiment of the next one and can be realized only within the aesthetic and stylistic category of "high style".Keywords: partes works, partes style, historically informed performance, interpretive model, Ukrainian performing culture at the turn of the XX–XXI centuries.
On the ubiquitous notion of mean in probability and statistics

In probability and statistics, the basic notion of probability of an event can be expressed as a mathematical expectation. The latter is a theoretical mean and is an essential parameter of most probability distributions, in particular of the Gaussian distribution. Last but not least, the notion of mean is at the core of two main theorems of probabilities and statistics, that is : the law of large numbers and the central limit theorem. Whether it is a theoretical or empirical version, the concept of mean is omnipresent in probability and statistics, is consubstantial to these two disciplines and is a bridge between randomness and determinism.