Reviewerly/exHarmony huggingface dataset:
Feature Selection: supporting the mining process on cyber-physical systems result datasets

Cyber physical systems (CPs) often generated large sets of data during monitoring or testing processes. Analyzing these results manually is not practical as it requires great human effort. Machine learning can be a valuable approach to support the analysis and can help the responsible professional to make urgent decisions. Moreover, most of time these datasets contain missing, extreme, duplicate or defective values that can bias the general classification methods, which can be worked around with feature selection techniques. However, identifying all the possible combinations of features and select the best set of them is not an easy task. In this work, we present a feature selection study to automate the analysis of CPs test result datasets by the support of machine learning. The idea is to automatically identify a set of attributes that optimize the accuracy of the chosen machine learning model. Three scenarios that use large amounts of data from cyber physical systems were used and the results of feature selection were surprising in some cases.
Utilization of the Corpus in Depicting Impoliteness in Indonesian on Social Media

The use of social media is massively increased, but it has not been accompanied by the awareness of proper and polite language.As reported by the Tempo National Page, there were 476 complaints of hate speech on social media that were submitted to the Cyber Crimes of the Criminal Investigation Agency of the Police from February 23 to May 11, 2021.This hate speech is a portrait of the lack of awareness of social media users to speak politely and the lack of awareness not to neglect the rights and honours of others.Language impoliteness on social media has destructive power, not only its spread is very fast, but it even has the potential to threaten the integrity of the nation.Therefore, this paper aims to map impolite words on social media status through the use of a digital corpus.By using qualitative descriptive research methods, it was found that there are two categories of impolite forms commonly used by netizens: first, negative connotations, 153 lexemes and second, potentially impolite neutral connotations, 26 lexemes.This form mapping can be used as a trigger so that social media users are aware of sorting, choosing, and using diction correctly.
INVESTIGATING SECONDARY SCHOOL STUDENTS’ ANXIETY LEVEL IN ENGLISH EXAMINATION

The preliminary research showed that students at the eleventh grade of State Senior High School 2 Enok had anxiety in the English examination. It can be seen that some of the students were confused in the English examination because the students got anxious. This research aimed to investigate the students’ anxiety in English examination at the eleventh grade of State Senior High School 2 Enok. Descriptive research is employed as the design. The population of the research was the students at the eleventh grade of state senior high school 2 Enok. The number of samples was selected by using a technique called simple random sampling. The sample was 30 students. The researchers obtained the data from the questionnaire. The data were analyzed by using descriptive statistics calculated by SPSS 20.0 program. The findings showed that the majority of students’ anxiety at the eleventh grade of State Senior High School 2 Enok was mediocre with 66.67%. Some of them were at a low level with 33.33%. While 0% in a high level. Thus, based on the data obtained it could be concluded that the students still have anxiety in English examination even at the mediocre level.
DISTANCE LEARNING TECHNOLOGIES IN PHYSICAL CULTURE AT THE UNIVERSITY (ON THE EXAMPLE OF OSU)

Physical education is a means of providing students with skills, attitudes, values, knowledge and understanding of motor activity throughout their life, regardless of their abilities, gender, age, cultural, religious or social origin. However, the pandemic made adjustments to people’s normal lifestyles, which led to the need to master new learning methods using Internet platforms. The transition of the traditional form of education to distance learning in the discipline “Physical Culture” was due to the necessary measure to deter the spread of COVID-19. The operational development at the end of the last school year and the introduction of an online course had some difficulties in the technical and organizational plan. Adapting to this new form of the educational process, universities have developed digital tools and platforms to provide continuing education in a full-fledged mode of work that meets all the requirements of higher education. The relevance of the article is determined by the need to switch to distance education, the development of the course and the use of Internet platforms by the teacher in teaching students at Orenburg State University. Therefore, the improvement of the distance learning process, the creation of an updated course, as well as the planned, deliberate use of online technologies stimulate and facilitate the interaction of the teacher and students. The implementation of this technology makes it possible to effectively solve educational and educational tasks that contribute to increasing interest in instilling skills in self-organization, self-control, self-esteem, activity analysis, developing self-consciousness, self-perception of their own achievements and understanding their dynamics; adapting the content of educational materials to the needs of students; determining the current level of individual results of students; analysis of educational process dynamics, change of its qualitative level.
الرضا الوظيفي لدى لمعلمي مرحلة الابتدائية خريجي كلية التربية جامعة حائل وعلاقته ببعض المتغيرات ( الجنس ,المؤهل العلمي, سنوات الخبرة)

This study aimed to identify the degree of job satisfaction among teachers of primary stage who are graduates of the Faculty of Education, University of Hail. Education University of Hail? Based on the previous question, the study tests the following hypotheses: The general characteristic of job satisfaction among primary school teachers graduates of the Faculty of Education, University of Hail. - There are statistically significant differences in job satisfaction among teachers of elementary stage graduates of the Faculty of Education, University of Hail according to gender variable (male / female) - There is a significant correlation between the level of job satisfaction among the teachers of the primary stage graduates of the Faculty of Education, University of Hail according to the variable of scientific qualification. The researcher reached the following results: - The primary stage teachers are graduates of the College of Education, University of Hail, with average job satisfaction. - There are no statistically significant differences between male and female teachers in job satisfaction.&#x0D; Achieving the principle of fairness in rewards between workers in the field of education Providing - and preparing programs to develop the positive attitudes of teachers towards the teaching profession, lead to teachers consider the teaching profession a message and not a profession to achieve the requirements of life only. - Developing and diversifying training courses for teachers aimed at providing them with skills that enable them to overcome the difficulties of working in a profession.
The Development of the !trumpet

The !trumpet is software synthesis system controlled from, and playing back through, a trumpet. It is not an electronically extended trumpet: the player produces no acoustic sounds by blowing through the mouthpiece. Instead, breath pressure and valve movement on the brass instrument are read by an embedded Arduino microcontroller and sent to a laptop, where the data is mapped onto various parameters in synthesis software; the resulting electronic sound is returned to the trumpet, where it plays through a loudspeaker inside the bell, and is further processed acoustically by valve position (changes in the length of tubing filter the speaker output), movement of a plunger mute (wah-wah style filtering), and orientation of the instrument in space (panning).
Load Balancing in Cloud Computing: A Comprehensive Survey on Recent Techniques

The Internet has become a fundamental necessity of daily activity. It has a more significant impact on modernizing the digital world. Therefore, cloud computing has been one of the most promising technological advances in recent days. It aims to provide millions of consumers around the globe with smooth computing services. In workload distributions and system behavior, the cloud environment is extremely dynamic, leading to load imbalances across data center resources. Balancing load across the systems is a crucial component of cloud computing, avoiding some nodes' overloading while others have little or no work to do. The problem of load balancing in the cloud has been linked to a large amount of research, recognizing its role and impact. This paper bestows a thorough investigation of the new load balancing algorithms for the cloud environment. This study's primary focus is the concept of load balancing, a literature review on load balancing and task scheduling techniques, and different measurement parameters
Performance Analysis of Random Forest Using Attribute Normalization

Data mining can process previous data into a pattern to help the next human activity. Data mining is divided into several methods: classification, clustering, association, and forecasting. This study, using the classification method to determine the pattern of a dataset so that it can be used to predict decisions with new data. The dataset for the classification method must have a label or class. Datasets that have an unbalanced number of tags (imbalanced datasets) can affect the shape of the model and predictive results for new data. To overcome this problem, this research uses the ensemble method and pre-processing. One of the algorithms in the ensemble learning method is a random forest , and the pre-processing used is attribute normalization by converting nominal data to numeric. Random forest is the development of the decision tree that produces a tree-shaped pattern, showing the flow of the classification process. Random forest will be used for the learning process on the data after the attribute normalization process is carried out . This study aims to apply the attribute normalization process and use the random forest algorithm to overcome imbalanced datasets and measure accuracy. This study uses a public dataset from the UCI Repository, namely car evaluation . The accuracy of this method is ± 99% with 90% training data and 10% testing data , and ± 95.95% with eight k-folds cross-validation , and the number of trees is 100 trees.
Leveraging Artificial Intelligence–enabled Workflow Framework for Legacy Transformation

The rapid advancement of web technologies coupled with evolving business needs make legacy transformation a necessity for enterprises around the world.However, the risks in such a transformation must be mitigated with an approach that is flexible enough to allow for a gradual and low risk transformation process.This paper presents a Service Oriented Architecture (SOA) workflow-based legacy transformation approach that allows for phased transformation in which a legacy system is first transformed into self-contained modular services accessible via a dedicated service layer.These modular services are managed through an AI-enabled workflow management layer that interacts with improved UI frontend for the system's end users.This paper presents a hypothetical prototype in which an Oracle 5 legacy system is transformed using the proposed architecture.ASP .NET Core MVC as well as Pega business process management platform are utilized to practically assess the feasibility of the proposed approach.
Blockchain and Smart Charging Infrastructure of Electric Vehicles

The rapid spread of electric vehicles will be one of the key elements for the transition to sustainable energy and at the same time will lead to the reduction of air pollution in cities. Obviously, the forecast estimates of the demand for electricity will have to be reconsidered and above all the functioning of the electricity grid and the two-way energy exchange methods, also to ensure that everyone is aware of this opportunity. The remodeling of electric mobility must therefore be reconsidered to reduce renewable energy costs, increase the flexibility of the smart grid, and make EVs available to the greatest number of prosumers, even in shared mode. Another point to consider is the implementation of the charging points, considering the risk that if not carefully controlled and increasing the peak load in the smart grid, and proper planning of the charging stations is necessary to avoid network congestion; for example, if a large number of electric vehicles were charged at the same time, it could lead to an excessive increase in costs, due to an increase in unnecessary available power. In this, smart grids have a fundamental task, to obtain new models for managing energy flows, recharging EVs, and related cost profiles.Another crucial factor, supporting this evolution toward electric mobility, will be the ability to generate business models, which, in addition to supporting the needs of food and a profit for the supply of ancillary services and power systems, will also have to support the needs of EVs fleets, considering vehicle and battery consumption. Then, it will be necessary to analyze factors such as the charging time, the duration, and the state of the battery, since, in the case of shared fleets of electric vehicles, an operating model is established “on demand,” with an energy market that involves fluctuations cost and therefore appropriate charge-discharge, which reduces the life of the batteries.Finally, since a battery of an electric vehicle alone would not be able to bring advantages to the network, it is necessary that they are aggravated, as in shared systems, or that there are many electric vehicles in circulation, whose owners want to provide the transfer of service energy from the battery to the grid, in exchange for a fiscal or economic advantage. This chapter aims to analyze scenarios for a new electric mobility, an integral part of Smart Cities.
Should epistemology and philosophy of science turn to empirical facts?

Participants in the discussion about the empiricism of modern epistemology Vladimir N. Porus, Nataliya I. Kuznetsova, Zhan K. Zagidullin, Vladislav A. Lektorsky comment on each other’s positions, pointing out the strong and weak points in their justification, agreeing on a number of issues, designating the theses and arguments that are fundamental for their positions, groping for prospects for the further development of the discussed issues. The discussion raises topics related to the prospects for the development of modern epistemology and philosophy of science, with the role of empirical facts and empirics in researching modern scientific knowledge, the problem of the development of the tools and conceptual apparatus of the epistemologist, normative and descriptive attitudes in epistemology and how they help or hinder leading dialogue between philosophers and scientists.
Constructing Expert System to Automatic Translation for Software development

the development in computer fields, especially in the software engineering, emerged the need to construct intelligence tool for automatic translation from design phase to coding phase, for producing the source code from the algorithm model represented in pseudo code, and execute it depending on the constructing expert system which reduces the cost, time and errors that may occur during the translation process, which has been built the knowledge base, inference engine, and the user interface. The knowledge bases consist of the facts and the rules for the automatic transition. The results are compared with a set of neural networks, which are Back propagation neural network, Cascade-Forward network, and Radial Basis Function network. The results showed the superiority of the expert system in automatic transition process speed, as well as easy to add, delete or modify process for rules or data of the pseudo code compared with previously mentioned neural networks.
Collectivisation image in Soviet cinema of 1930s: philosophical analysis

The article analyses the character of the collectivization image in Soviet cinema of the 1930s. The comparison of the films of S. Eisenstein, G. Aleksandrov, A. Medvedkin, A. Dovzhenko, F. Ermler, I. Pyryev is given to describe their common images and analyse the mechanism of their impact on a viewer in its connection to a special historical moment and cinema art specifics. The collectivization, which affected lives of the population of the USSR at the turn of the 1930s as an extremely unpopular measure, “skidding” all the time and rejected by the people, demanded a constant broadcast of its presence: images of a wonderful new life, images of an enemy, images of achievements. It also demanded the presence of a special space between reality and fiction, which can be called using the modern language the “media”. The unrealism of the analyzed films, which contradicts the canons of socialist realism, shows the ability of the image to involve a viewer’s perception into the game of suspicions about the “true” reality, which can be associated with platonism philosophic tradition in its influence on art. The article materials can be used for creating studying courses and literature on philosophy, political science, art and another humanities.
MODIFICATION OF SYLLABI AT THE FACULTY OF ECONOMICS, TECHNICAL UNIVERSITY OF LIBEREC DURING ONLINE TEACHING CAUSED BY THE PANDEMIC – QUESTIONNAIRE SURVEY RESULTS

The article summarizes a qualitative and quantitative analysis of the results of a questionnaire survey that took place at the Faculty of Economics, Technical University of Liberec in May 2021. The exceptional situation that occurred during the coronavirus pandemic forced all academic personnel to transfer their teaching to online platforms. Obviously, such a shift caused changes not only in the nature of teaching and syllabi but also in communication with students as well as the relations between students and academic workers. The main goal of this research was to find out how—or whether—the teachers modified their syllabi, or course plans, and adapted them to teaching in the online environment, and to what extent. The questionnaire further examined the teachers’ views on online teaching, its negative and positive aspects, and the tools that the academic workers have used most or least in online teaching. The research results primarily map the current situation at the Faculty of Economics and bring a reflection concerning other possibilities that online teaching offers and, of course, concerning also its pitfalls.
Teaching Indonesian-English Combined Task to Improve Students’ Skills in Writing English Sentences

This research aimed to find out the effectiveness of Teaching Indonesian-English Combined Task to improve students’ skills in writing English sentences. It was undertaken in PDF Ulya As’adiyah Putri Sengkang in Academic Year 2016/2017. It applied pre-experimental method. Writing test was employed as the instrument of the research. The population of this research was 16 students. The technique of data collection involved giving pre-test to know the writing skills gained previously of the students and post-test after giving the treatment to know how the skills of the students in writing English sentences by using Indonesian-English combined task. The result of the calculation of the students’ score indicated that the mean score of the students’ pre-test was (55.25) which was classified as fair classification and the mean score of the students’ post-test was (73,93) as good classification. The value of paired sample test for post-test was greater than the t-table (10,239&gt;2.131). In short, teaching Indonesian-English combined task is effective to improve students’ skills in writing English sentences.
Language Learning Strategies among Undergraduates During Online Learning in Covid-19 Pandemic in A Public University in Malaysia

One of the most critical aspects of an effective language learner, according to studies, is the adoption of efficient language learning strategies.As the outbreak of the Coronavirus 19 (COVID-19) pandemic has created alterations to the educational sector in which, including the Online Distance Learning (ODL) has become pivotal.On the other hand, suitable language learning strategies should be accessible and accommodating to all learners.Therefore, it is essential to ensure students' English language mastery in any educational environment.This study aimed to identify the most frequent Language Learning Strategies (LLS) utilised by undergraduate learners of English as a second language and to study the factors of specific LLS preferred by the learners during the ODL in the pandemic of Covid-19.This research incorporated a mixed-method design by employing both quantitative and qualitative methods.The research instrument for the quantitative approach is the online questionnaire namely Strategy of Inventory Language Learning (SILL) version 7.0 was adopted and adapted from Oxford (1989).The questionnaire was distributed using a purposive sampling to 78 respondents at a public university in Malaysia namely University Kebangsaan Malaysia (UKM).The second research instrument is semi-structured interviews conducted with 10 participants.Quantitative data was analysed and presented in a descriptive analysis to identify the most frequent LLS used by the participants.Moreover, the qualitative data was scrutinised and coded using thematic analysis.The quantitative results indicated a high preference for social strategies followed by metacognitive, compensation, cognitive, memory, and affective strategies.Thematic analysis for the qualitative method revealed that the social strategies utilised by the students were influenced by achievement goal-oriented, and a learning environment.
A Model of Psychological and Pedagogical Support of the Process of Formation of Environmental Awareness of University Students

The paper presents a solution to the problem of the formation of students’ environmental awareness through the organization of special psychological and pedagogical support of the process under consideration in the system of continuous education. The basic directions of psychological and pedagogical support of the formation of students’ environmental awareness are stressed. An innovative model of psychological and pedagogical support of the process of formation of students’ environmental awareness as a multilevel system is proposed, and in the phenomenological, structural-content and organizational-functional terms, organically including particular models: conceptual, personality-oriented procedural, organizational and informational. It is shown that the model of psychological and pedagogical support will ensure the formation of students’ environmental awareness, taking into account the diversity of their personal properties through the effective organization of educational and professional environmental activities.