Reviewerly/exHarmony huggingface dataset:
Development of Training Models for Increasing Managerial Competence of Administrative Leaders in Higher Education Based on Action Based Learning

This study aims to reveal: how is that the process of developing a training model for improving the managerial competence of administrative leaders in Universities based on Action Based Learning is valid, practical, effective, the info source of this research is the academic community of Padang State University, techniques of knowledge collection are validity, practicality, and effectiveness.The results of this study were found from the validity test of three aspects, namely aspects of media, material, and language.Furthermore, the practicality test of the lecturer's response and therefore the student's response.The results of the typical product validity got a value of 90.97% within the very valid category, the typical practicality of student responses was 80.31% within the practical category.The typical practicality of the lecturer's response is 88.46% within the practical category.Consistent with the data above, it are often summed up that the Model Development of Training Model for Increasing Managerial Competence of Administrative Leaders in Higher Education Based on Action Based Learning is valid, practical, and effectively utilized in higher education.
An Analysis of the Needs of Learning Leadership Model Based on Action Learning

The purpose of this research is to examine the requirements for the creation of a learning leadership model based on action learning.This study was done using a survey approach at primary schools in West Sumatra Province, with as many as 117 school principals scattered over 12 districts and 7 cities.It was discovered that data responders are in severe need of this learning leadership.The average score earned is roughly 4.41, with an accomplishment level of 88.29%.On the other side, all indicators in learning leadership are required for replies, including conveying the vision and purpose, integrating curriculum-based learning activities, performing coaching and staff development, and creating a positive school atmosphere.
Orchestrating Heterogeneous Cyber-range Event Chains With Serverless-container Workflow

Cyber ranges need to run versatile network applications to increase the fidelity of the tests. With the growing complexity of cyberspace events that involve tens to hundreds of diverse applications and flexible execution orders of applications, it is increasingly challenging to orchestrate large-scale, complicated chains of heterogeneous Internet applications. State-of-the-art orchestration techniques do not scale out well due to the inefficient representation model and scheduling of network-centric and correlated Internet application activities. We present a serverless-container workflow orchestration scheme called Wukong. First, we overcome the heterogeneity of events with a workflow model that encodes event chains with compositional DAGs and unified serverless-container event triggers. Second, Wukong scales the scheduling of serverless-container workflows by automatically decomposing DAGs and push-pull coordinated event executions over distributed serverless-container runtime agents. Our evaluation on a real-world cyber range shows that Wukong is expressive, scalable and efficient for automatically emulating diverse event chains, in that the compositional modeling reduces the storage footprint over 57 to 58 times compared to baseline models, the response delay of Wukong is 1.52 to 2.74 times shorter than state-of-the-art orchestration engines, and the scheduling delay is 1.14 to 2.16 times smaller than those of the baseline approach.
A BIBLIOMETRIC ANALYSIS ON CRYPTOCURRENCY AND BEHAVIOURAL FINANCE

The cryptocurrency market has received much interest in the media and academia because of its large price fluctuations since the beginning of 2013. By looking into the impact of behavioral finance elements on investing decisions in the cryptocurrency market, investors who invest in the cryptocurrency market will be able to make better decisions. Based on studies on its principal currency, the 18th of December 2017 has been designated as the peak date of the cryptocurrency market's greatest bubble. A bibliometric approach by means of quantitative analytical methods was applied to discover the relationship between the keywords associated with cryptocurrency and behavioral finance. Articles were extracted from the Scopus database that was published between 2018 and 2021. Publication Year, nation, area of research, journal, authors, and organizational affiliations were all examined in the extracted records. The VOSviewer application was used to visualise relation between both the research themes. Analysis of 102 review and original articles exposed that the total number of publications has incessantly increased over the last 4 years. This study examines the countries that contribute more publications in the selected field of research. The current study uses bibliometric approaches to evaluate cryptocurrency research and highlighted current trends in the interaction between cryptocurrencies and behavioural finance using several metrics, as well as prospective future research hot spots in this sector.
FORMATION AND DEVELOPMENT OF THE STUDENTS’ KEY COMPETENCES IN NATURAL SCIENCES AND TECHNOLOGIES USING THE TOOLS OF TEACHING PHYSICS

The article presents the problem of organizing the educational activities of students studying natural sciences. The purpose of the study is to carry out a theoretical analysis of the scientific literature regarding the determination of the structural components of key competencies in natural sciences and technologies that are formed and developed in students through the means of teaching physics. Formulation and understanding of competence, key co-competence in pedagogical activity from the standpoint of modern domestic and foreign researchers are considered. Indispensable components of competencies, according to S.V. Beketov, are defined as knowledge, skills, stereotypes of behavior, abilities, efforts, and attitude to activities in a certain field. Ten key competencies are given (communication in the state (and native – in case of difference) languages, communication in foreign languages, mathematical competence, basic competences in natural sciences and technologies, information and digital competence, ability to learn throughout life, initiative and entrepreneurship, social and civic competence , awareness and self-expression in the field of culture, environmental literacy and healthy life) of the New Ukrainian School, which are necessary for the formation of the student's personality in modern conditions, and the analysis of competencies and components based on elementary school physics curricula was carried out. The following skills are common to all competencies: the ability to read and understand what is read (to read); the ability to express an opinion orally and in writing (express); critical thinking (thinking, media literacy); the ability to logically justify a position (logic); show initiative (initiative); create (create); the ability to solve problems, assess risks and make decisions (make decisions); the ability to constructively manage emotions (emotions); apply emotional intelligence (emotions); the ability to cooperate in a team (teamwork). The ideal of modern education is a person with a flexible mind, with a quick reaction to everything new, with ideal communication skills.
ORGANIZING SELF-DIRECTED LEARNING OF CHEMISTRY AMONG PUPILS

The article highlights the organization of self-directed learning of chemistry among pupils as one of the ways to enhance education quality in the conditions of distance learning. Today’s education aims to provide equal conditions and access to quality education to all. In this regard, it is crucial to organize self-directed learning which depends on both the pupil’s personality and the elements of the external system. The article specifies the teacher’s main objectives in terms of managing self-learning: a) to involve pupils in independent cognitive activities; b) to provide emotional support for pupils; c) to create a winning situation by applying individual assessment standards, as well as enabling examination of the obtained results by both the teacher and the pupils. Besides, the article formulates the principles for self-directed learning of chemistry among pupils: self-determination, openness, links between self-learning and practice, visualisation, proactivity, adaptability and interactivity. Importantly, one should take into consideration the specifics of the subject itself. It refers to the scale of the material, abstractness, as well as the leading role of tasks. The main components of managing self-directed learning of chemistry are as follows: “the system of problems” (a set of specially selected chemistry problems, standard and non-standard both in terms of solution and content) and “the level of independence” (how involved the pupils are in determining the goal and choosing the ways to achieve it). A detailed analysis of how today’s education develops and is updated allows one to discover the conditions for effective self-directed learning of chemistry among pupils. They are the following: focusing on the creative nature of educational activity; building individual educational paths; using the latest technologies under the needs of the educational process. Finally, the article clarifies the three levels of managing self-directed learning of chemistry among pupils: internal management (following the curriculum); internal self-management (following the pupil’s internal motives); external management (performed by the teacher in case of supplementing and correcting internal management).
METHODS OF FORMING SELF-IMPROVEMENT SKILLS IN FUTURE IT SCIENTISTS USING INFORMATION TECHNOLOGIES

The article deals with continuous personal and professional self-improvement of the specialists in the field of information technologies and pedagogical conditions as the development and formation of versatile aspects of professional training of the future specialists. The specificity of pedagogical activity arises from the fact that it combines organizational, research and creative components, therefore, in modern pedagogical conditions, it is important to be able to actively perceive new things, ensuring the continuity of personal and professional self-improvement. For higher pedagogical educational institutions, the primary task is the formation of the future teacher personality who is able to be constantly engaged in the personal and professional self-improvement, ready for continuous education, that is, for regular self-development. The development of readiness for self-improvement of future specialists in the field of information technologies is a rather complex process, the effectiveness of which depends on the implementation and observance of the necessary pedagogical conditions. Usually, pedagogical conditions are interpreted as those that are specially created in the educational process to increase its efficiency or implement innovations. The issue of qualification of pedagogical conditions has become the subject of attention of many researchers. We consider the analysis of a number of scientific works in which the pedagogical conditions of development and formation of versatile aspects of professional training of future specialists are considered important for our exploration of the features of the development of self-improvement skills of future specialists by means of information technologies. The personal self-improvement, which begins at school, should continue life-long. The professional self-development is a complex, multifaceted, continuous, conscious process aimed at the formation, integration and implementation of professionally significant personal traits, professional knowledge, abilities and skills in the professional activities. The future specialists are creative individuals who constantly have many new ideas and are ready to accept innovations in education. After all, the teacher must regularly prepare new, interesting lectures, be able to adapt to changes in the educational process. Modern student teachers have to master a variety of educational technologies. In the professional activity of the teacher, a structural component is the professionalism of self-improvement.
Classification of Images from Biomedical Literature

With the rampant explosion of the information in biomedical literature, text-mining tools have become popular. A drawback of these tools is that they are unable to capture visual representations (images). We propose an idea to tackle this challenge, by using image classification and meta-information extraction using machine learning algorithm. To enable image classification, we pre-process the image to extract its pixel values in the form of a histogram. This histogram is the basis for training a logistic regression with a one-vs-rest approach. At the end of classification, the image and its meta-information is stored in a database that is accessible via an API call. Additionally, we combine these individual components into a command-line application and a web application (hosted at www.bolzano.ml ).
Optimization

In Life Sciences as well as in may other fields, we are often encountering mathematical problems that we have to solve. In this chapter, we dive into linear and combinatorial optimization problems. Accompanied by some illustrative problems arising from various applications in Life Sciences, we learn how to model these problems in a mathematical way. We will further discuss general approaches in tackling these problems, discover some widely known solving algorithms and have a closer look at their exemplary implementations in Java.
Cloud Computing

Since the early days of mainframe based computing centres serving their users with compute cycles there was always a gap between the computing power offered by a centre and the computing power requested by the users of the centre, both in terms of capacity and performance. Replacing old hardware by new, more powerful one could only close the gap for a limited time since new capabilities also lead to new software developments making use of the new capabilities. This was especially true for research centres with often changing workload patterns. Moreover, the way of providing IT infrastructure turned out to be too inflexible regarding the changing computational load in times of ubiquitous use of computing. Procuring infrastructure resources to satisfy peak demand left resources idling during the day-to-day business. Frequent updates of the infrastructure to cope with increasing load are both expensive and difficult, leading, e.g. to service interruption. In the environment of research centres a first approach to overcome the problems was making use of external resources from other research centres for peak loads. With Amazon’s EC2 [1] offering Cloud computing entered the scene as a novel paradigm for providing and using computing resources for small and medium enterprises. Especially appreciated in the field of web-based applications like internet shops or hosting of companies’ web sites without the obligation to operate them locally. In contrast to Grid computing resource sharing is not in the focus of Cloud computing. Instead, access to a commercially provided infrastructure service is the appropriate label.
Comparing the Functional Orthography Unit Between Chinese and Alphabets

Functional Orthography Unit (FOU) is the letter in the alphabet and is the radical in Chinese.The present study reviews how researchers come to the aforementioned conclusion utilizing same-different judgement against participants and MRI scans pointing to the posterior region of the brain as the location involved for processing FOU, and that FOUs promote reading and word recognition.The main arguments/findings of this paper are: 1) the Functional Orthography Unit in the two sets of languages perform the identical duties; 2) they differ in how semantics, spatial organization, and the number of units in each letter or word are represented.The paper may inspire future researchers to examine FOU from other types of languages and draw a more universally applicable set of characteristics for the unit.
Distance education. New challenges in the modern world (Experience of the National Technical University «Kharkiv Polytechnical Institute»)

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 3. 432 pages.
Membangun Jaringan Kerjasama Dalam Rangka Pemberdayaan Perpustakaan

&#x0D; The library is a place of knowledge in which there are many forms of collection, both printed and digital. However, as a forum, it is necessary for the library to strive to meet the needs of its users in terms of providing information, but due to the inability to provide any information needed, it is necessary to collaborate with one library with another library. The research method was carried out using a qualitative method along with a literature study so that several sources were collected that had similar titles with this work.&#x0D; Keyword: network, cooperation, library
MCA-Based Multi-Channel Fusion Attacks Against Cryptographic Implementations

Multi-channel fusion attacks (MCFAs) are a more effective kind of side-channel analysis approaches for evaluating the side-channel vulnerability of a cryptographic device as compared to side-channel attacks exploiting only monochannel leakage. However, research for MCFAs is insufficient to explore their greatest potential. Considering that multi-channel leakages are generated by the same crypto device and collected individually, the paper holds the opinion that there exists a linear combination of the multi-channel leakages or leakage features or attack results to launch a fusion attack with the highest performance. Correspondingly, this paper develops three optimal strategies of MCFAs on the basis of multiple correlation analysis (MCA). In addition, a new MCA-based leakage fusion metric applied for measuring whether or not to combine a channel with other channels for fusion attacks is constructed as well. The proposed metric can select the channels with similar noise levels for combination and reduce the possibility of negative influences on leakage fusion caused by high-noise channels. Effectiveness of the proposed optimal fusion attacks and the new fusion metric are verified by practical experiments in typical scenarios, respectively.
Automatically Tagging the “AAA” Pattern in Unit Test Cases Using Machine Learning Models

The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AAA</i> pattern (i.e., <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Arrange-Act-Assert</i> ) is a common and natural layout to create a test case. Following this pattern in test cases may benefit comprehension, debugging, and maintenance. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AAA</i> structure of real-life test cases, however, may not be clear due to their high complexity. Manually labeling <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AAA</i> statements in test cases is tedious. Thus, we envision that an automated approach for labeling <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AAA</i> statements in existing test cases could benefit new developers and projects that practice collective code ownership and test-driven development. This paper contributes an automatic approach based on machine learning models. The “secret sauce” of this approach is a set of three learning features that are based on the semantic, syntax, and context information in test cases, derived from the manual tagging process. Thus, our approach mimics how developers may manually tag the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AAA</i> pattern of a test case. We assess the precision, recall, and F-1 score of our approach based on 449 test cases, containing about 16,612 statements, across 4 Apache open source projects. To achieve the best performance in our approach, we explore the usage of six machine learning models; the contribution of the SMOTE data balancing technique; the comparison of the three learning features; and the comparison of five different methods for calculating the semantic feature. The results show our approach is able to identify <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Arrangement</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Action</i> , and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Assertion</i> statements with a precision upwards of 92%, and recall up to 74%. We also summarize some experience based on our experiments—regarding the choice of machine learning models, data balancing algorithm, and feature engineering methods—which could potentially provide some reference to related future research.
Interacting through Blogs in Theatre/Drama Education: A Greek Case Study

This paper aims to investigate how digital tools, such as blogs, could be used by drama teachers, already qualified on a Drama teaching postgraduate study course, in teaching Theatre/Drama Education in schools in Greece, and to record the ways in which they could interact through blogging with their students and similarly ways in which their students could interact between themselves. In order to attain this, a small-scale case study was planned and developed, with an interdisciplinary approach. Drama teachers and their students were asked to build and develop their blogs concerning drama and theatre education and then use them in Theatre/Drama lessons. After applying this with their students for some time, drama teachers were asked to express their personal views and perceptions. Their responses showed in general a positive attitude towards the integration and use of blogs in teaching Theatre/Drama courses in schools, because they appear to increase the interactivity between teachers and their students and to provide them both with opportunities to further develop their dramatic and digital skills either within or outside a school environment.
Secret Image Restoration With Convex Hull and Elite Opposition-Based Learning Strategy

Digital images are easily corrupted during transmission. Most image denoising methods cannot perform well on restoring the secret image extracted from a corrupted stego image. To deal with this issue, we propose a new secret image restoration method with convex hull and elite opposition-based learning strategy. Specifically, the pixel distortion values of the corrupted secret image are calculated and used to classify the pixels into trustable pixels or untrusted pixels. For an untrusted pixel, a convex hull is generated by its context trustable pixels due to the irregular distribution of trustable pixels. The untrusted pixel in the convex hull is restored by the trustable pixels within the convex hull. The other untrusted pixels are restored using elite opposition-based learning strategy. The experimental results show that the proposed method outperforms some state-of-the-art methods regarding recovered secret image quality.